start-ver=1.4
cd-journal=joma
no-vol=65
cd-vols=
no-issue=2
article-no=
start-page=63
end-page=69
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2011
dt-pub=201104
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Outbreak of Salmonella Braenderup Infection Originating in Boxed Lunches in Japan in 2008
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=There have been only 2 reports of a large-scale foodborne outbreak arising from Salmonella enterica serotype Braenderup infection worldwide. On August 9, 2008, an outbreak originating in boxed lunches occurred in Okayama, Japan. We conducted a cohort study of 786 people who received boxed lunches from a particular catering company and collected 644 questionnaires (response rate:82%). Cases were defined as those presenting with diarrhea (≧4 times in 24h) or fever (≧38℃) between 12 am on August 8 and 12 am on August 14. We identified 176 cases (women/men:39/137);younger children (aged＜10 years) appeared to more frequently suffer severe symptoms. Three food items were significantly associated with higher risk of illness;tamagotoji (soft egg with mixed vegetables and meat) (relative risk (RR):11.74, 95% confidence interval (CI):2.98-46.24), pork cooked in soy sauce (RR:3.17, 95% CI:1.24-8.10), and vinegared food (RR:4.13, 95% CI:1.60-10.63). Among them, only the RR of tamagotoji was higher when we employed a stricter case definition. Salmonella Braenderup was isolated from 5 of 9 sampled cases and 6 food handlers. It is likely that unpasteurized liquid eggs contaminated by Salmonella Braenderup and used in tamagotoji caused this outbreak.
en-copyright=
kn-copyright=

en-aut-name=MizoguchiYoshinori
en-aut-sei=Mizoguchi
en-aut-mei=Yoshinori
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=

en-aut-name=SuzukiEtsuji
en-aut-sei=Suzuki
en-aut-mei=Etsuji
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=

en-aut-name=TsuchidaHiroaki
en-aut-sei=Tsuchida
en-aut-mei=Hiroaki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=

en-aut-name=TsudaToshihide
en-aut-sei=Tsuda
en-aut-mei=Toshihide
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=

en-aut-name=YamamotoEiji
en-aut-sei=Yamamoto
en-aut-mei=Eiji
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=

en-aut-name=NakaseKatsumi
en-aut-sei=Nakase
en-aut-mei=Katsumi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=

en-aut-name=DoiHiroyuki
en-aut-sei=Doi
en-aut-mei=Hiroyuki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=7
ORCID=

affil-num=1
en-affil=
kn-affil=Department of Epidemiology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences

affil-num=2
en-affil=
kn-affil=Department of Epidemiology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences

affil-num=3
en-affil=
kn-affil=Okayama City Public Health Center

affil-num=4
en-affil=
kn-affil=Department of Environmental Epidemiology, Okayama University Graduate School of Environmental Science

affil-num=5
en-affil=
kn-affil=Department of Information Science, Okayama University of Science

affil-num=6
en-affil=
kn-affil=Okayama City Public Health Center

affil-num=7
en-affil=
kn-affil=Department of Epidemiology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
en-keyword=boxed lunch
kn-keyword=boxed lunch
en-keyword=cohort study
kn-keyword=cohort study
en-keyword=foodborne diseases
kn-keyword=foodborne diseases
en-keyword=Salmonella Braenderup
kn-keyword=Salmonella Braenderup
en-keyword=unpasteurized liquid eggs
kn-keyword=unpasteurized liquid eggs
END

start-ver=1.4
cd-journal=joma
no-vol=65
cd-vols=
no-issue=2
article-no=
start-page=97
end-page=103
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2011
dt-pub=201104
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Environmental Factors and Seasonal Influenza Onset in Okayama City, Japan: Case-Crossover Study
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Seasonal influenza infection is a major challenge in public health. The term "seasonal influenza" refers to the typical increase in the number of influenza patients in the winter season in temperature zones. However, it is not clear how environmental factors within a single flu season affect influenza infection in a human population. Therefore, we evaluated the effects of temperature and humidity in the 2006-7 flu season on the onset of seasonal influenza using a case-crossover study. We targeted patients who attended one pediatric clinic in Okayama city, Japan and who were diagnosed as being infected with the seasonal influenza virus. Using 2 references (time-stratified and symmetric bidirectional design), we estimated the effects of average temperature and relative humidity from the onset day (lag0) to 10 days before (lag10). The total number of subjects was 419, and their onset days ranged from 26 December 2006 to 30 April 2007. While the onset was significantly associated with lower temperature, relative humidity was not related. In particular, temperatures before the 3-day incubation period had higher-magnitude odds ratios. For example, the odds ratio and 95% confidence interval for average temperature at time lag 8 was 1.12 (1.08-1.17) per 1.0℃ decrease. Low environmental temperature significantly increased the risk of seasonal influenza onset within the 2006-7 winter season.
en-copyright=
kn-copyright=

en-aut-name=TsuchihashiYuuki
en-aut-sei=Tsuchihashi
en-aut-mei=Yuuki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=

en-aut-name=YorifujiTakashi
en-aut-sei=Yorifuji
en-aut-mei=Takashi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=

en-aut-name=TakaoSoshi
en-aut-sei=Takao
en-aut-mei=Soshi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=

en-aut-name=SuzukiEtsuji
en-aut-sei=Suzuki
en-aut-mei=Etsuji
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=

en-aut-name=MoriShigeru
en-aut-sei=Mori
en-aut-mei=Shigeru
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=

en-aut-name=DoiHiroyuki
en-aut-sei=Doi
en-aut-mei=Hiroyuki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=

en-aut-name=TsudaToshihide
en-aut-sei=Tsuda
en-aut-mei=Toshihide
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=7
ORCID=

affil-num=1
en-affil=
kn-affil=Department of Epidemiology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences

affil-num=2
en-affil=
kn-affil=Department of Epidemiology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences

affil-num=3
en-affil=
kn-affil=Department of Epidemiology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences

affil-num=4
en-affil=
kn-affil=Department of Epidemiology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences

affil-num=5
en-affil=
kn-affil=Department of Pediatrics, Momotaro Clinic

affil-num=6
en-affil=
kn-affil=Department of Epidemiology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences

affil-num=7
en-affil=
kn-affil=Department of Environmental Epidemiology, Okayama University Graduate School of Environmental Science
en-keyword=seasonal influenza in humans
kn-keyword=seasonal influenza in humans
en-keyword=temperature
kn-keyword=temperature
en-keyword=humidity
kn-keyword=humidity
en-keyword=case-crossover study
kn-keyword=case-crossover study
END

start-ver=1.4
cd-journal=joma
no-vol=65
cd-vols=
no-issue=6
article-no=
start-page=395
end-page=402
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2011
dt-pub=201112
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=The Usefulness of Pre-Radiofrequency Ablation SUVmax in 18F-FDG PET/CT to Predict the Risk of a Local Recurrence of Malignant Lung Tumors after Lung Radiofrequency Ablation
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=The aim of the present study was to assess the diagnostic usefulness of Fluorine-18 fluorodeoxyglucose (18F-FDG) positron emission tomography/computed tomography (PET/CT) in the prediction of local recurrence of malignant lung tumors by analyzing the pre-radiofrequency ablation (RFA) maximal standardized uptake value (SUVmax). We performed a historical cohort study of consecutive malignant lung tumors treated by RFA from January 2007 to May 2008 at Okayama University Hospital. We selected only lung tumors examined by PET/CT within 90 days before RFA and divided them (10 primary and 29 metastatic) into 3 groups according to their tertiles of SUVmax. We calculated recurrence odds ratios in the medium group and the high group compared to the low group using multivariate logistic analysis. After we examined the relationship between SUVmax and recurrence in a crude model, we adjusted for some factors. Tumors with higher SUVmax showed higher recurrence odds ratios (medium group;1.84, high group;4.14, respectively). The tumor size also increased the recurrence odds ratio (2.67);we thought this was mainly due to selection bias because we excluded tumors less than 10mm in diameter. This study demonstrated the pre-RFA SUVmax in PET/CT may be a prognostic factor for local recurrence of malignant lung tumors.
en-copyright=
kn-copyright=

en-aut-name=HaradaSosuke
en-aut-sei=Harada
en-aut-mei=Sosuke
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=

en-aut-name=SatoShuhei
en-aut-sei=Sato
en-aut-mei=Shuhei
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=

en-aut-name=SuzukiEtsuji
en-aut-sei=Suzuki
en-aut-mei=Etsuji
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=

en-aut-name=OkumuraYoshihiro
en-aut-sei=Okumura
en-aut-mei=Yoshihiro
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=

en-aut-name=HirakiTakao
en-aut-sei=Hiraki
en-aut-mei=Takao
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=

en-aut-name=GobaraHideo
en-aut-sei=Gobara
en-aut-mei=Hideo
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=

en-aut-name=MimuraHidefumi
en-aut-sei=Mimura
en-aut-mei=Hidefumi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=7
ORCID=

en-aut-name=KanazawaSusumu
en-aut-sei=Kanazawa
en-aut-mei=Susumu
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=8
ORCID=

en-aut-name=KajiMitsumasa
en-aut-sei=Kaji
en-aut-mei=Mitsumasa
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=9
ORCID=

en-aut-name=FujiwaraToshiyoshi
en-aut-sei=Fujiwara
en-aut-mei=Toshiyoshi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=10
ORCID=

affil-num=1
en-affil=
kn-affil=Department of Radiology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences

affil-num=2
en-affil=
kn-affil=Department of Radiology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences

affil-num=3
en-affil=
kn-affil=Department of Epidemiology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences

affil-num=4
en-affil=
kn-affil=Department of Radiology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences

affil-num=5
en-affil=
kn-affil=Department of Radiology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences

affil-num=6
en-affil=
kn-affil=Department of Radiology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences

affil-num=7
en-affil=
kn-affil=Department of Radiology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences

affil-num=8
en-affil=
kn-affil=Department of Radiology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences

affil-num=9
en-affil=
kn-affil=Okayama Diagnostic Imaging Center

affil-num=10
en-affil=
kn-affil=Department of Gastroenterological Surgery, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
en-keyword=fluorodeoxyglucose (FDG)
kn-keyword=fluorodeoxyglucose (FDG)
en-keyword=positron emission tomography (PET)
kn-keyword=positron emission tomography (PET)
en-keyword=standardized uptake value (SUV)
kn-keyword=standardized uptake value (SUV)
en-keyword=radiofrequency ablation (RFA)
kn-keyword=radiofrequency ablation (RFA)
en-keyword=lung
kn-keyword=lung
END

start-ver=1.4
cd-journal=joma
no-vol=67
cd-vols=
no-issue=1
article-no=
start-page=25
end-page=33
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2013
dt-pub=201302
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Shift Work and Diabetes Mellitus among Male Workers in Japan:Does the Intensity of Shift Work Matter?
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=The purpose of this study was to examine the association between shift work and diabetes mellitus by separating shift workers according to the intensity of their shift work (seasonal shift work and continuous shift work). Between May and October 2009, we collected data from annual health checkups and questionnaires at a manufacturing company in Shizuoka, Japan. Questionnaires were returned by 1,601 workers (response rate:96.2%, men/women＝1,314/287). Diabetes mellitus was defined as hemoglobin A1c≥6.5% and fasting blood sugar≥126mg/dl. After exclusions, which included all the women and clerical workers because they did not work in shifts, we analyzed 475 skilled male workers. After adjusting for age, smoking status, frequency of alcohol consumption, and cohabitation status, odds ratios for diabetes mellitus were 0.98 (95% confidence interval [CI]:0.28-4.81) and 2.10 (95% CI:0.77-5.71) among seasonal shift workers and continuous shift workers, respectively, compared with non-shift workers. In an age-stratified analysis (＜45 years vs.≥45 years), the association between continuous shift work and diabetes mellitus was more pronounced among older participants. Compared with non-shift workers, the risk of diabetes mellitus was increased among continuous shift workers, whereas its effect is limited among seasonal shift workers.
en-copyright=
kn-copyright=

en-aut-name=IkaKatsuhiko
en-aut-sei=Ika
en-aut-mei=Katsuhiko
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=

en-aut-name=SuzukiEtsuji
en-aut-sei=Suzuki
en-aut-mei=Etsuji
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=

en-aut-name=MitsuhashiToshiharu
en-aut-sei=Mitsuhashi
en-aut-mei=Toshiharu
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=

en-aut-name=TakaoSoshi
en-aut-sei=Takao
en-aut-mei=Soshi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=

en-aut-name=DoiHiroyuki
en-aut-sei=Doi
en-aut-mei=Hiroyuki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=

affil-num=1
en-affil=
kn-affil=Department of Epidemiology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences

affil-num=2
en-affil=
kn-affil=Department of Epidemiology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences

affil-num=3
en-affil=
kn-affil=Department of Epidemiology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences

affil-num=4
en-affil=
kn-affil=Department of Epidemiology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences

affil-num=5
en-affil=
kn-affil=Department of Epidemiology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
en-keyword=cross-sectional study
kn-keyword=cross-sectional study
en-keyword=diabetes mellitus
kn-keyword=diabetes mellitus
en-keyword=intensity
kn-keyword=intensity
en-keyword=Japan
kn-keyword=Japan
en-keyword=shift work
kn-keyword=shift work
END

start-ver=1.4
cd-journal=joma
no-vol=8
cd-vols=
no-issue=10
article-no=
start-page=
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2013
dt-pub=20131017
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Type D Personality Is Associated with Psychological Distress and Poor Self-Rated Health among the Elderly: A Population-Based Study in Japan
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=We investigated the association between Type D personality, psychological distress, and self-ratings of poor health in elderly Japanese people. In August 2010, questionnaires were sent to all residents aged >= 65 in three municipalities (n = 21232) in Okayama Prefecture, Japan, and. 13929 questionnaires were returned (response rate: 65.6%). To assess mental and physical health outcomes, we used the Kessler Psychological Distress Scale and a single item question regarding perceived general health. We analyzed 9759 questionnaires to determine odds ratios (ORs) and 95% confidence intervals (CIs) for several health outcomes, adjusting for sex, age, smoking status, frequency of alcohol consumption, overweight status, educational attainment, socioeconomic status, and number of cohabiters. The multiple imputation method was employed for missing data regarding Type D personality. The prevalence of Type D personality in our sample was 46.2%. After adjusting for covariates, we found that participants with Type D personality were at 4-5 times the risk of psychological distress, and twice the risk of poor self-rated health. This association was stronger in participants aged 65-74 years (psychological distress; OR: 5.80, 95% CI: 4.96-6.78, poor self-rated health; OR: 2.84, 95% CI: 2.38-3.38) than in those aged over 75 years (psychological distress; OR: 4.54, 95% CI: 3.96-5.19, poor self-rated health; OR: 2.05, 95% CI: 1.79-2.34). Type D personality is associated with adverse health status among Japanese elderly people in terms of mental and physical risk; therefore, further research into the implications of this personality type is warranted.
en-copyright=
kn-copyright=

en-aut-name=KasaiYosuke
en-aut-sei=Kasai
en-aut-mei=Yosuke
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=

en-aut-name=SuzukiEtsuji
en-aut-sei=Suzuki
en-aut-mei=Etsuji
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=

en-aut-name=IwaseToshihide
en-aut-sei=Iwase
en-aut-mei=Toshihide
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=

en-aut-name=DoiHiroyuki
en-aut-sei=Doi
en-aut-mei=Hiroyuki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=

en-aut-name=TakaoSoshi
en-aut-sei=Takao
en-aut-mei=Soshi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=

affil-num=1
en-affil=
kn-affil=Okayama Univ, Dept Epidemiol, Grad Sch Med Dent & Pharmaceut Sci

affil-num=2
en-affil=
kn-affil=Okayama Univ, Dept Epidemiol, Grad Sch Med Dent & Pharmaceut Sci

affil-num=3
en-affil=
kn-affil=Okayama Univ, Grad Sch Med Dent & Pharmaceut Sci, Support Ctr Med Cooperat Human Resource Placement

affil-num=4
en-affil=
kn-affil=Okayama Univ, Dept Epidemiol, Grad Sch Med Dent & Pharmaceut Sci

affil-num=5
en-affil=
kn-affil=Okayama Univ, Dept Epidemiol, Grad Sch Med Dent & Pharmaceut Sci
END

start-ver=1.4
cd-journal=joma
no-vol=13
cd-vols=
no-issue=
article-no=
start-page=
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2013
dt-pub=20131217
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Group involvement and self-rated health among the Japanese elderly: an examination of bonding and bridging social capital
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Background: To date, only a small amount of research on bonding/bridging social capital has separately examined their effects on health though they have been thought to have differential effects on health outcomes. By using a large population-based sample of elderly Japanese people, we sought to investigate the association between bonding and bridging social capital and self-rated health for men and women separately. 

Methods: In August 2010, questionnaires were sent to all residents aged >= 65 years in three municipalities in Okayama prefecture (n = 21232), and 13929 questionnaires were returned (response rate: 65.6%). Social capital was measured from survey responses to questions on participation in six different types of groups: a) the elderly club or sports/hobby/culture circle; b) alumni association; c) political campaign club; d) citizen's group or environmental preservation activity; e) community association; and f) religious organization. Participant perception of group homogeneity (gender, age, and previous occupation) was used to divide social capital into bonding or bridging. Odds ratios (ORs) and 95% confidence intervals (CIs) for poor self-rated health were calculated. 

Results: A total of 11146 subjects (4441 men and 6705 women) were available for the analysis. Among men, bonding and bridging social capital were inversely associated with poor self-rated health (high bonding social capital; OR: 0.55, 95% CI: 0.31-0.99; high bridging social capital; OR: 0.62, 95% CI: 0.48-0.81) after adjusting for age, educational attainment, smoking status, frequency of alcohol consumption, overweight, living arrangements, and type-D personality. The beneficial effect among women was more likely limited to bonding social capital (high bonding social capital; OR: 0.34, 95% CI: 0.12-1.00), and the association between bridging social capital and self-rated health was less clear (high bridging social capital; OR: 0.69, 95% CI: 0.44-1.07). 

Conclusions: Bonding/bridging social capital could have differential associations with self-rated health among the Japanese elderly depending on the individual's sex. Considering the lack of consensus on how to measure bonding and bridging social capital, however, we need to carefully assess the generalizability of our findings. Further research is warranted to identify health-relevant dimensions of social capital in different cultural or economic settings.
en-copyright=
kn-copyright=

en-aut-name=KishimotoYoko
en-aut-sei=Kishimoto
en-aut-mei=Yoko
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=

en-aut-name=SuzukiEtsuji
en-aut-sei=Suzuki
en-aut-mei=Etsuji
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=

en-aut-name=IwaseToshihide
en-aut-sei=Iwase
en-aut-mei=Toshihide
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=

en-aut-name=DoiHiroyuki
en-aut-sei=Doi
en-aut-mei=Hiroyuki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=

en-aut-name=TakaoSoshi
en-aut-sei=Takao
en-aut-mei=Soshi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=

affil-num=1
en-affil=
kn-affil=Okayama Univ, Grad Sch Med Dent & Pharmaceut Sci, Dept Epidemiol

affil-num=2
en-affil=
kn-affil=Okayama Univ, Grad Sch Med Dent & Pharmaceut Sci, Dept Epidemiol

affil-num=3
en-affil=
kn-affil=Okayama Univ, Grad Sch Med Dent & Pharmaceut Sci, Support Ctr Med Cooperat Human Resource Placement

affil-num=4
en-affil=
kn-affil=Okayama Univ, Grad Sch Med Dent & Pharmaceut Sci, Dept Epidemiol

affil-num=5
en-affil=
kn-affil=Okayama Univ, Grad Sch Med Dent & Pharmaceut Sci, Dept Epidemiol
en-keyword=Social capital
kn-keyword=Social capital
en-keyword=Bonding
kn-keyword=Bonding
en-keyword=Bridging
kn-keyword=Bridging
en-keyword=Self-rated health
kn-keyword=Self-rated health
en-keyword=Elderly
kn-keyword=Elderly
END

start-ver=1.4
cd-journal=joma
no-vol=9
cd-vols=
no-issue=1
article-no=
start-page=
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2014
dt-pub=20140131
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=The Bright Side and Dark Side of Workplace Social Capital: Opposing Effects of Gender on Overweight among Japanese Employees
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Background: A growing number of studies have sought to examine the health associations of workplace social capital; however, evidence of associations with overweight is sparse. We examined the association between individual perceptions of workplace social capital and overweight among Japanese male and female employees. 

Methodology/Principal Findings: We conducted a cross-sectional survey among full-time employees at a company in Osaka prefecture in February 2012. We used an 8-item measure to assess overall and sub-dimensions of workplace social capital, divided into tertiles. Of 1050 employees, 849 responded, and 750 (624 men and 126 women) could be linked to annual health check-up data in the analysis. Binomial logistic regression models were used to calculate odds ratios and 95% confidence intervals for overweight (body mass index: >= 25 kg/m(2), calculated from measured weight and height) separately for men and women. The prevalence of overweight was 24.5% among men and 14.3% among women. Among men, low levels of bonding and linking social capital in the workplace were associated with a nearly 2-fold risk of overweight compared to high corresponding dimensions of social capital when adjusted for age, sleep hours, physiological distress, and lifestyle. In contrast, among women we found lower overall and linking social capital to be associated with lower odds for overweight even after covariate adjustment. Subsequently, we used multinomial logistic regression analyses to assess the relationships between a 1 standard deviation (SD) decrease in mean social capital and odds of underweight/overweight relative to normal weight. Among men, a 1-SD decrease in overall, bonding, and linking social capital was significantly associated with higher odds of overweight, but not with underweight. Among women, no significant associations were found for either overweight or underweight. 

Conclusions/Significance: We found opposite gender relationships between perceived low linking workplace social capital and overweight among Japanese employees.
en-copyright=
kn-copyright=

en-aut-name=KobayashiTomoko
en-aut-sei=Kobayashi
en-aut-mei=Tomoko
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=

en-aut-name=SuzukiEtsuji
en-aut-sei=Suzuki
en-aut-mei=Etsuji
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=

en-aut-name=OksanenTuula
en-aut-sei=Oksanen
en-aut-mei=Tuula
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=

en-aut-name=KawachiIchiro
en-aut-sei=Kawachi
en-aut-mei=Ichiro
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=

en-aut-name=TakaoSoshi
en-aut-sei=Takao
en-aut-mei=Soshi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=

affil-num=1
en-affil=
kn-affil=Okayama Univ, Dept Epidemiol, Grad Sch Med Dent & Pharmaceut Sci

affil-num=2
en-affil=
kn-affil=Okayama Univ, Dept Epidemiol, Grad Sch Med Dent & Pharmaceut Sci

affil-num=3
en-affil=
kn-affil=Finnish Inst Occupat Hlth, Ctr Expertise Dev Work & Org

affil-num=4
en-affil=
kn-affil=Harvard Univ, Sch Med, Dept Social & Behav Sci

affil-num=5
en-affil=
kn-affil=Okayama Univ, Dept Epidemiol, Grad Sch Med Dent & Pharmaceut Sci
END

start-ver=1.4
cd-journal=joma
no-vol=68
cd-vols=
no-issue=2
article-no=
start-page=101
end-page=110
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2014
dt-pub=201404
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Trends in Geographic Distribution of Nursing Staff in Japan from 2000 to 2010:A Multilevel Analysis
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=The aim of this study was to examine trends in the geographic distribution of nursing staff in Japan from 2000 to 2010. We examined time trends in the rates of nursing staff per 100,000 population across 349 secondary health service areas. Using the Gini coefficient as a measure of inequality, we separately analyzed the data of 4 nursing staff types:public health nurses (PHN), midwives (MW), nurses (NS), and associate nurses (AN). Then, using multilevel Poisson regression models, we calculated the rate ratios (RRs) and their 95% confidence intervals (CIs) for each type of nursing staff per 1-year change. Overall, the distribution of PHN, MW, and NS improved slightly in terms of the Gini coefficient. After adjusting for prefectural capital and population density, PHN, MW, and NS significantly increased;the RRs per 1-year increment were 1.022 (95% CI:1.020-1.023), 1.021 (95% CI:1.019-1.022), and 1.037 (95% CI:1.037-1.038), respectively. In contrast, AN significantly decreased;the RR per 1-year increment was 0.993 (95% CI:0.993-0.994). Despite the considerable increase in the absolute number of nursing staff in Japan (excluding AN), this increase did not lead to a sufficient improvement in distribution over the last decade.
en-copyright=
kn-copyright=

en-aut-name=IzutsuMasato
en-aut-sei=Izutsu
en-aut-mei=Masato
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=

en-aut-name=SuzukiEtsuji
en-aut-sei=Suzuki
en-aut-mei=Etsuji
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=

en-aut-name=IzutsuYukako
en-aut-sei=Izutsu
en-aut-mei=Yukako
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=

en-aut-name=DoiHiroyuki
en-aut-sei=Doi
en-aut-mei=Hiroyuki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=

affil-num=1
en-affil=
kn-affil=Department of Epidemiology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences

affil-num=2
en-affil=
kn-affil=Department of Epidemiology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences

affil-num=3
en-affil=
kn-affil=Department of Obstetrics and Gynecology, Konishi Clinic

affil-num=4
en-affil=
kn-affil=Department of Epidemiology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
en-keyword=health policy
kn-keyword=health policy
en-keyword=inequality
kn-keyword=inequality
en-keyword=Japan
kn-keyword=Japan
en-keyword=multilevel Poisson model
kn-keyword=multilevel Poisson model
en-keyword=nursing staff
kn-keyword=nursing staff
END

start-ver=1.4
cd-journal=joma
no-vol=68
cd-vols=
no-issue=6
article-no=
start-page=339
end-page=348
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2014
dt-pub=201412
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Living Will Interest and Preferred End-of-life Care and Death Locations among Japanese Adults 50 and over: A Population-based Survey
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=The main purpose of this study was to determine the relationships between Japanese individualsʼ interest in living wills and their preferred end-of-life care and death locations. Questionnaires were mailed to 1,000 individuals aged ｧ50 to measure these 2 factors. We examined the associations between the respondentsʼ characteristics and their preferred care and death locations by using multinomial logistic regression models. The response rate was 74%. Home was the most frequently preferred place for end-of-life care (64%), and a palliative care unit (PCU) was the most commonly preferred place to die (51%). Living will interest was associated with a preference for care (odds ratio [OR] 4.74, 95% confidence interval [CI] 1.95-12.1) and death (OR 2.75, 95% CI 1.70-4.47) in a PCU rather than a hospital, but it was not associated with the choice between receiving care or dying at home instead of a hospital. We must consider why Japanese people think home death is impracticable. The Japanese palliative care system should be expanded to meet patientsʼ end-of-life needs, and this includes not only facilitating home care but also increasing access to PCU care.
en-copyright=
kn-copyright=

en-aut-name=NishieHiroyuki
en-aut-sei=Nishie
en-aut-mei=Hiroyuki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=

en-aut-name=MizobuchiSatoshi
en-aut-sei=Mizobuchi
en-aut-mei=Satoshi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=

en-aut-name=SuzukiEtsuji
en-aut-sei=Suzuki
en-aut-mei=Etsuji
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=

en-aut-name=SatoKenji
en-aut-sei=Sato
en-aut-mei=Kenji
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=

en-aut-name=TodaYuichiro
en-aut-sei=Toda
en-aut-mei=Yuichiro
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=

en-aut-name=MatsuokaJunji
en-aut-sei=Matsuoka
en-aut-mei=Junji
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=

en-aut-name=MorimatsuHiroshi
en-aut-sei=Morimatsu
en-aut-mei=Hiroshi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=7
ORCID=

affil-num=1
en-affil=
kn-affil=Department of Anesthesiology and Resuscitology, Okayama University Hospital

affil-num=2
en-affil=
kn-affil=Department of Anesthesiology and Perioperative Medicine, Kobe University Graduate School of Medicine

affil-num=3
en-affil=
kn-affil=Department of Epidemiology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences

affil-num=4
en-affil=
kn-affil=Department of Anesthesiology and Resuscitology, Okayama University Hospital

affil-num=5
en-affil=
kn-affil=Department of Anesthesiology and Resuscitology, Okayama University Hospital

affil-num=6
en-affil=
kn-affil=Department of Palliative Care Medicine, Okayama University Hospital

affil-num=7
en-affil=
kn-affil=Department of Anesthesiology and Resuscitology, Okayama University Hospital
en-keyword=advance healthcare directive
kn-keyword=advance healthcare directive
en-keyword=living will
kn-keyword=living will
en-keyword=end-of-life care
kn-keyword=end-of-life care
en-keyword=palliative care unit
kn-keyword=palliative care unit
en-keyword=place of death
kn-keyword=place of death
END

start-ver=1.4
cd-journal=joma
no-vol=
cd-vols=
no-issue=
article-no=
start-page=
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2015
dt-pub=2015
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Thyroid Cancer Detection by Ultrasound Among Residents Ages 18 Years and Younger in Fukushima
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Background: After the Great East Japan Earthquake and Tsunami in March 2011, radioactive elements were released from the Fukushima Daiichi Nuclear Power Plant. Based on prior knowledge, concern emerged about whether an increased incidence of thyroid cancer among exposed residents would occur as a result.

Methods: After the release, Fukushima Prefecture performed ultrasound thyroid screening on all residents ages <=18 years. The first round of screening included 298,577 examinees, and a second round began in April 2014. We analyzed the prefecture results from the first and second round up to December 31, 2014, in comparison with the Japanese annual incidence and the incidence within a reference area in Fukushima Prefecture.

Results: The highest incidence rate ratio, using a latency period of 4 years, was observed in the central middle district of the prefecture compared with the Japanese annual incidence (incidence rate ratio = 50; 95% confidence interval [CI] = 25, 90). The prevalence of thyroid cancer was 605 per million examinees (95% CI = 302, 1,082) and the prevalence odds ratio compared with the reference district in Fukushima Prefecture was 2.6 (95% CI = 0.99, 7.0). In the second screening round, even under the assumption that the rest of examinees were disease free, an incidence rate ratio of 12 has already been observed (95% CI = 5.1, 23).

Conclusions: An excess of thyroid cancer has been detected by ultrasound among children and adolescents in Fukushima Prefecture within 4 years of the release, and is unlikely to be explained by a screening surge.
en-copyright=
kn-copyright=

en-aut-name=TsudaToshihide
en-aut-sei=Tsuda
en-aut-mei=Toshihide
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=

en-aut-name=TokinobuAkiko
en-aut-sei=Tokinobu
en-aut-mei=Akiko
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=

en-aut-name=YamamotoEiji
en-aut-sei=Yamamoto
en-aut-mei=Eiji
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=

en-aut-name=SuzukiEtsuji
en-aut-sei=Suzuki
en-aut-mei=Etsuji
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=

affil-num=1
en-affil=
kn-affil=Graduate School of Environmental and Life Science, Okayama University

affil-num=2
en-affil=
kn-affil=Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University

affil-num=3
en-affil=
kn-affil=Faculty of Informatics, Okayama University of Science

affil-num=4
en-affil=
kn-affil=Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
END

start-ver=1.4
cd-journal=joma
no-vol=26
cd-vols=
no-issue=11
article-no=
start-page=788
end-page=793
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2016
dt-pub=201611
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Errors in causal inference: an organizational schema for systematic error and random error
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Purpose<br>
To provide an organizational schema for systematic error and random error in estimating causal measures, aimed at clarifying the concept of errors from the perspective of causal inference.<br>
<br>
Methods<br>
We propose to divide systematic error into structural error and analytic error. With regard to random error, our schema shows its four major sources: nondeterministic counterfactuals, sampling variability, a mechanism that generates exposure events and measurement variability.<br>
<br>
Results<br>
Structural error is defined from the perspective of counterfactual reasoning and divided into nonexchangeability bias (which comprises confounding bias and selection bias) and measurement bias. Directed acyclic graphs are useful to illustrate this kind of error. Nonexchangeability bias implies a lack of “exchangeability” between the selected exposed and unexposed groups. A lack of exchangeability is not a primary concern of measurement bias, justifying its separation from confounding bias and selection bias. Many forms of analytic errors result from the small-sample properties of the estimator used and vanish asymptotically. Analytic error also results from wrong (misspecified) statistical models and inappropriate statistical methods.<br>
<br>
Conclusions<br>
Our organizational schema is helpful for understanding the relationship between systematic error and random error from a previously less investigated aspect, enabling us to better understand the relationship between accuracy, validity, and precision.
en-copyright=
kn-copyright=

en-aut-name=SuzukiEtsuji
en-aut-sei=Suzuki
en-aut-mei=Etsuji
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=

en-aut-name=TsudaToshihide
en-aut-sei=Tsuda
en-aut-mei=Toshihide
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=

en-aut-name=MitsuhashiToshiharu
en-aut-sei=Mitsuhashi
en-aut-mei=Toshiharu
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=

en-aut-name=MansourniaMohammad Ali
en-aut-sei=Mansournia
en-aut-mei=Mohammad Ali
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=

en-aut-name=YamamotoEiji
en-aut-sei=Yamamoto
en-aut-mei=Eiji
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=

affil-num=1
en-affil=Department of Epidem iology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=

affil-num=2
en-affil=Department of Human Ecology, Graduate School of Environmenta l and Life Science, Okayama University
kn-affil=

affil-num=3
en-affil=Center for Innovative Clinical Medicine, Okayama University Hospital, Okayama University,
kn-affil=

affil-num=4
en-affil=Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences
kn-affil=

affil-num=5
en-affil=Department of Information Science, Faculty of Informatics, Okayama University of Science
kn-affil=
en-keyword=bias
kn-keyword=bias
en-keyword=causality
kn-keyword=causality
en-keyword=epidemiologic methods
kn-keyword=epidemiologic methods
END

start-ver=1.4
cd-journal=joma
no-vol=28
cd-vols=
no-issue=1
article-no=
start-page=48
end-page=53
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2018
dt-pub=20181
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Covariate balance for no confounding in the sufficient-cause model
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Purpose: To show conditions of covariate balance for no confounding in the sufficient-cause model and discuss its relationship with exchangeability conditions.<br>
Methods: We consider the link between the sufficient-cause model and the counterfactual model, emphasizing that the target population plays a key role when discussing these conditions. Furthermore, we incorporate sufficient causes within the directed acyclic graph framework. We propose to use each of the background factors in sufficient causes as representing a set of covariates of interest and discuss the presence of covariate balance by comparing joint distributions of the relevant background factors between the exposed and the unexposed groups.<br>
Results: We show conditions for partial covariate balance, covariate balance, and full covariate
balance, each of which is stronger than partial exchangeability, exchangeability, and full exchangeability, respectively. This is consistent with the fact that the sufficient-cause model is a “finer” model than the counterfactual model.<br>
Conclusions: Covariate balance is a sufficient, but not a necessary, condition for no confounding irrespective of the target population. Although our conceptualization of covariate imbalance is closely related to the recently proposed counterfactual-based definition of a confounder, the concepts of covariate balance and confounder should be clearly distinguished.
en-copyright=
kn-copyright=

en-aut-name=SuzukiEtsuji
en-aut-sei=Suzuki
en-aut-mei=Etsuji
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=

en-aut-name=TsudaToshihide
en-aut-sei=Tsuda
en-aut-mei=Toshihide
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=

en-aut-name=YamamotoEiji
en-aut-sei=Yamamoto
en-aut-mei=Eiji
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=

affil-num=1
en-affil=Department of Epidemiology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=

affil-num=2
en-affil=Department of Human Ecology, Graduate School of Environmental and Life Science, Okayama University
kn-affil=

affil-num=3
en-affil=Department of Information Science, Faculty of Informatics, Okayama University of Science
kn-affil=
en-keyword=bias
kn-keyword=bias
en-keyword=causality
kn-keyword=causality
en-keyword=confounding factors
kn-keyword=confounding factors
en-keyword=epidemiologic methods
kn-keyword=epidemiologic methods
END

start-ver=1.4
cd-journal=joma
no-vol=30
cd-vols=
no-issue=4
article-no=
start-page=153
end-page=162
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2020
dt-pub=20200405
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Causal Diagrams: Pitfalls and Tips
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Graphical models are useful tools in causal inference, and causal directed acyclic graphs (DAGs) are used extensively to determine the variables for which it is sufficient to control for confounding to estimate causal effects. We discuss the following ten pitfalls and tips that are easily overlooked when using DAGs: 1) Each node on DAGs corresponds to a random variable and not its realized values; 2) The presence or absence of arrows in DAGs corresponds to the presence or absence of individual causal effect in the population; 3) "Non-manipulable" variables and their arrows should be drawn with care; 4) It is preferable to draw DAGs for the total population, rather than for the exposed or unexposed groups; 5) DAGs are primarily useful to examine the presence of confounding in distribution in the notion of confounding in expectation; 6) Although DAGs provide qualitative differences of causal structures, they cannot describe details of how to adjust for confounding; 7) DAGs can be used to illustrate the consequences of matching and the appropriate handling of matched variables in cohort and case-control studies; 8) When explicitly accounting for temporal order in DAGs, it is necessary to use separate nodes for each timing; 9) In certain cases, DAGs with signed edges can be used in drawing conclusions about the direction of bias; and 10) DAGs can be (and should be) used to describe not only confounding bias but also other forms of bias. We also discuss recent developments of graphical models and their future directions.
en-copyright=
kn-copyright=

en-aut-name=SuzukiEtsuji
en-aut-sei=Suzuki
en-aut-mei=Etsuji
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=

en-aut-name=ShinozakiTomohiro
en-aut-sei=Shinozaki
en-aut-mei=Tomohiro
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=

en-aut-name=YamamotoEiji
en-aut-sei=Yamamoto
en-aut-mei=Eiji
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=

affil-num=1
en-affil=Department of Epidemiology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=

affil-num=2
en-affil=Department of Information and Computer Technology, Faculty of Engineering, Tokyo University of Science
kn-affil=

affil-num=3
en-affil=Okayama University of Science
kn-affil=
en-keyword=bias
kn-keyword=bias
en-keyword=causal inference
kn-keyword=causal inference
en-keyword=causality
kn-keyword=causality
en-keyword=confounding
kn-keyword=confounding
en-keyword=directed acyclic graphs
kn-keyword=directed acyclic graphs
END

start-ver=1.4
cd-journal=joma
no-vol=58
cd-vols=
no-issue=
article-no=
start-page=177
end-page=186
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2020
dt-pub=202010
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Continuing surgical education of non-technical skills
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Background</br>
The non-technical skills for surgeons (NOTSS) system was developed as a tool to assess surgical skills for patient safety during surgery. This study aimed to develop a NOTSS-based training system for surgical trainees to acquire non-technical skills using a chest surgery scenario in a wet lab.</br>
Materials and methods</br>
Trainees were categorized into three subgroups according to the years of experience as follows: Level A: 6 years or more; Level B: 3–5 years; and Level C: 1–2 years. Three stages of surgical procedure were designed: 1. chest wall resection and right upper lobe lobectomy, 2. right middle lobe sleeve lobectomy, and 3. right lower lobe lobectomy. One instructor was assigned to each operation table, who evaluated each participant's NOTSS scores consisting of 16 elements.</br>
Results</br>
When comparing average NOTSS score of all the three procedures, significant differences were observed between Level A, B, and C trainees. As an example of varying elements by procedure, Level A trainees demonstrated differences in Situation Awareness, and a significant difference was observed in Level C trainees regarding the elements of Decision Making. On the contrary, no significant difference was observed among Level B trainees. In the comparison between first-time and experienced participants, a significant improvement was observed in some elements in Level B and C trainees.</br>
Conclusion</br>
This study highlights the usefulness and feasibility of the NOTSS scoring system for surgeons with different experiences and the effectiveness of providing feedback to trainees during intraoperative handoffs in a wet lab.
en-copyright=
kn-copyright=

en-aut-name=YamaneMasaomi
en-aut-sei=Yamane
en-aut-mei=Masaomi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=

en-aut-name=SugimotoSeiichiro
en-aut-sei=Sugimoto
en-aut-mei=Seiichiro
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=

en-aut-name=SuzukiEtsuji
en-aut-sei=Suzuki
en-aut-mei=Etsuji
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=

en-aut-name=AokageKeiju
en-aut-sei=Aokage
en-aut-mei=Keiju
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=

en-aut-name=OkazakiMikio
en-aut-sei=Okazaki
en-aut-mei=Mikio
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=

en-aut-name=SohJunichi
en-aut-sei=Soh
en-aut-mei=Junichi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=

en-aut-name=HayamaMakio
en-aut-sei=Hayama
en-aut-mei=Makio
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=7
ORCID=

en-aut-name=HiramiYuji
en-aut-sei=Hirami
en-aut-mei=Yuji
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=8
ORCID=

en-aut-name=YorifujiTakashi
en-aut-sei=Yorifuji
en-aut-mei=Takashi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=9
ORCID=

en-aut-name=ToyookaShinichi
en-aut-sei=Toyooka
en-aut-mei=Shinichi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=10
ORCID=

affil-num=1
en-affil=Departments of General Thoracic Surgery and Breast and Endocrinological Surgery, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=

affil-num=2
en-affil=Departments of General Thoracic Surgery and Breast and Endocrinological Surgery, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=

affil-num=3
en-affil=Department of Epidemiology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=

affil-num=4
en-affil=Department of Thoracic Surgery, National Cancer Center Hospital East
kn-affil=

affil-num=5
en-affil=Departments of General Thoracic Surgery and Breast and Endocrinological Surgery, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=

affil-num=6
en-affil=Division of Thoracic Surgery, Department of Surgery, Kindai University Faculty of Medicine
kn-affil=

affil-num=7
en-affil=Department of Thoracic Surgery, Japanese Red Cross Okayama Hospital
kn-affil=

affil-num=8
en-affil=Department of General Thoracic Surgery, National Hospital Organization Okayama Medical Center
kn-affil=

affil-num=9
en-affil=Department of Epidemiology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=

affil-num=10
en-affil=Departments of General Thoracic Surgery and Breast and Endocrinological Surgery, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
en-keyword=Non-technical skills
kn-keyword=Non-technical skills
en-keyword=Patient safety
kn-keyword=Patient safety
en-keyword=Thoracic surgery
kn-keyword=Thoracic surgery
END

start-ver=1.4
cd-journal=joma
no-vol=28
cd-vols=
no-issue=
article-no=
start-page=3884
end-page=3890
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2020
dt-pub=20201124
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=A Simple Prognostic Benefit Scoring System for Sarcoma Patients with Pulmonary Metastases: Sarcoma Lung Metastasis Score
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Background</br>
Pulmonary metastasectomy could be considered one of the treatment options for disease control in sarcoma patients with pulmonary metastases; however, there is little consensus regarding the suitable criteria for predicting the likely outcomes in these patients. The aim of this study was to establish a prognostic benefit scoring system based on preoperatively examined prognostic factors for sarcoma patients with pulmonary metastases.</br>
Methods</br>
This was a single-center, retrospective cohort study conducted in a cohort of 135 sarcoma patients who underwent a first pulmonary metastasectomy at Okayama University Hospital between January 2006 and December 2015. Based on the results of a multivariable logistic regression analysis performed to determine the factors influencing 3-year mortality, a Sarcoma Lung Metastasis Score was created and its correlation with 3-year survival was analyzed.</br>
Results</br>
The results of the multivariate analysis revealed significant differences in the disease-free interval (< 2 years vs. ≥ 2 years; odds ratio (OR) 4.22, 95% confidence interval (CI) 1.67–10.70), maximum tumor diameter (≥ 15 mm vs. < 15 mm; OR 3.86, 95% CI 1.75–8.52), and number of pulmonary metastases (≥ 6 vs. < 6; OR 2.65, 95% CI 1.06–6.620). The Sarcoma Lung Metastasis Score, which was defined as the total score of these three factors, reliably predicted 3-year survival (score: 0, 89.5%; 1, 63.2%; 2, 39.0%; 3, 10.5%).</br>
Conclusions</br>
Our newly proposed simple Sarcoma Lung Metastasis Score appears to be a useful prognostic predictor for sarcoma patients with pulmonary metastases, in that it could be helpful for the selection of appropriate treatments for these patients.
en-copyright=
kn-copyright=

en-aut-name=YamamotoHaruchika
en-aut-sei=Yamamoto
en-aut-mei=Haruchika
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=

en-aut-name=YamamotoHiromasa
en-aut-sei=Yamamoto
en-aut-mei=Hiromasa
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=

en-aut-name=SohJunichi
en-aut-sei=Soh
en-aut-mei=Junichi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=

en-aut-name=SuzukiEtsuji
en-aut-sei=Suzuki
en-aut-mei=Etsuji
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=

en-aut-name=NambaKei
en-aut-sei=Namba
en-aut-mei=Kei
kn-aut-name= 
kn-aut-sei= 
kn-aut-mei=
aut-affil-num=5
ORCID=

en-aut-name=SuzawaKen
en-aut-sei=Suzawa
en-aut-mei=Ken
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=

en-aut-name=MiyoshiKentaroh
en-aut-sei=Miyoshi
en-aut-mei=Kentaroh
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=7
ORCID=

en-aut-name=OtaniShinji
en-aut-sei=Otani
en-aut-mei=Shinji
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=8
ORCID=

en-aut-name=OkazakiMikio
en-aut-sei=Okazaki
en-aut-mei=Mikio
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=9
ORCID=

en-aut-name=SugimotoSeiichiro
en-aut-sei=Sugimoto
en-aut-mei=Seiichiro
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=10
ORCID=

en-aut-name=YamaneMasaomi
en-aut-sei=Yamane
en-aut-mei=Masaomi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=11
ORCID=

en-aut-name=YorifujiTakashi
en-aut-sei=Yorifuji
en-aut-mei=Takashi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=12
ORCID=

en-aut-name=TakahashiKatsuhito
en-aut-sei=Takahashi
en-aut-mei=Katsuhito
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=13
ORCID=

en-aut-name=ToyookaShinichi
en-aut-sei=Toyooka
en-aut-mei=Shinichi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=14
ORCID=

affil-num=1
en-affil=Department of Thoracic Surgery, Okayama University Hospital
kn-affil=

affil-num=2
en-affil=Department of Thoracic Surgery, Okayama University Hospital
kn-affil=

affil-num=3
en-affil=Department of Thoracic Surgery, Okayama University Hospital
kn-affil=

affil-num=4
en-affil=Department of Epidemiology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=

affil-num=5
en-affil=Department of Thoracic Surgery, Okayama University Hospital
kn-affil=

affil-num=6
en-affil=Department of Thoracic Surgery, Okayama University Hospital
kn-affil=

affil-num=7
en-affil=Department of Thoracic Surgery, Okayama University Hospital
kn-affil=

affil-num=8
en-affil=Department of Thoracic Surgery, Okayama University Hospital
kn-affil=

affil-num=9
en-affil=Department of Thoracic Surgery, Okayama University Hospital
kn-affil=

affil-num=10
en-affil=Department of Thoracic Surgery, Okayama University Hospital
kn-affil=

affil-num=11
en-affil=Department of Thoracic Surgery, Okayama University Hospital
kn-affil=

affil-num=12
en-affil=Department of Epidemiology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=

affil-num=13
en-affil=Center for Multidisciplinary Treatment of Sarcoma, Department of Sarcoma Medicine, Kameda Medical Center
kn-affil=

affil-num=14
en-affil=Department of Thoracic Surgery, Okayama University Hospital
kn-affil=
END

start-ver=1.4
cd-journal=joma
no-vol=133
cd-vols=
no-issue=1
article-no=
start-page=55
end-page=57
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2021
dt-pub=20210401
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=Artificial intelligence and epidemiology in data science : Prediction and causal inference
kn-title=データサイエンスにおける人工知能 (AI) と疫学の位置付け ―予測と因果推論の違い―
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=
en-copyright=
kn-copyright=

en-aut-name=YorifujiTakashi
en-aut-sei=Yorifuji
en-aut-mei=Takashi
kn-aut-name=頼藤 貴志
kn-aut-sei=頼藤 
kn-aut-mei=貴志
aut-affil-num=1
ORCID=

en-aut-name=SuzukiEtsuji
en-aut-sei=Suzuki
en-aut-mei=Etsuji
kn-aut-name=鈴木越治
kn-aut-sei=鈴木
kn-aut-mei=越治
aut-affil-num=2
ORCID=

affil-num=1
en-affil=Department of Epidemiology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=岡山大学大学院医歯薬学総合研究科　疫学・衛生学

affil-num=2
en-affil=Department of Epidemiology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=岡山大学大学院医歯薬学総合研究科　疫学・衛生学
en-keyword=人工知能
kn-keyword=人工知能
en-keyword=疫学
kn-keyword=疫学
en-keyword=データサイエンス
kn-keyword=データサイエンス
en-keyword=予測
kn-keyword=予測
en-keyword=因果推論
kn-keyword=因果推論
END

start-ver=1.4
cd-journal=joma
no-vol=32
cd-vols=
no-issue=6
article-no=
start-page=838
end-page=845
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2021
dt-pub=202111
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Marginal Sufficient Component Cause Model - An Emerging Causal Model With Merits?
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=For decades, the sufficient cause model and the counterfactual model have shaped our understanding of causation in biomedical science, and the link between these two models has enabled us to obtain a deeper understanding of causality. Recently, a new causal model—the marginal sufficient component cause model—was proposed and applied in the context of interaction or mediation. The proponents of this model have emphasized its utility in visualizing the presence of “agonism” (a subtype of mechanistic interaction) in the counterfactual framework, claiming that the concept of agonism has not been clearly defined in causal inference and that agonistic interaction cannot be visualized by the conventional sufficient cause model. In this article, we illustrate that careful scrutiny based on the conventional sufficient cause model yields further insights into the concept of agonism in a more
biologic sense. We primarily focus on the following three points: a) “agonism” defined in the
counterfactual model can be visualized as sets of sufficient causes in the conventional sufficient cause model; b) although the so-called independent competing assumption or no redundancy assumption may seem irrelevant in the marginal sufficient component cause model, researchers do need to assume that potential completion times of relevant marginal sufficient causes differ; c) possibly differing potential completion times of marginal sufficient causes cannot be discerned until their hidden mechanistic paths are considered in the conventional sufficient cause model. In this rapidly progressing field of research, decades after its introduction, the sufficient cause model retains its worth.
en-copyright=
kn-copyright=

en-aut-name=SuzukiEtsuji
en-aut-sei=Suzuki
en-aut-mei=Etsuji
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=

en-aut-name=YamamotoEiji
en-aut-sei=Yamamoto
en-aut-mei=Eiji
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=

affil-num=1
en-affil=Department of Epidemiology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=

affil-num=2
en-affil=Okayama University of Science
kn-affil=
en-keyword=Agonism
kn-keyword=Agonism
en-keyword=Causality
kn-keyword=Causality
en-keyword=Counterfactual model
kn-keyword=Counterfactual model
en-keyword=Mediation
kn-keyword=Mediation
en-keyword=Potential outcomes
kn-keyword=Potential outcomes
en-keyword=Sufficient cause model
kn-keyword=Sufficient cause model
END

start-ver=1.4
cd-journal=joma
no-vol=36
cd-vols=
no-issue=9
article-no=
start-page=899
end-page=908
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2021
dt-pub=20219
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Strength in causality: discerning causal mechanisms in the sufficient cause model
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=The assessment of causality is fundamental to epidemiology and biomedical sciences. One well-known approach to distinguishing causal from noncausal explanations is the nine Bradford Hill viewpoints. A recent article in this journal revisited the viewpoints to incorporate developments in causal thinking, suggesting that the sufficient cause model is useful in elucidating the theoretical underpinning of the first of the nine viewpoints—<i>strength</i> of association. In this article, we discuss how to discern the causal mechanisms of interest in the sufficient cause model, which pays closer attention to the relationship between the sufficient cause model and the Bradford Hill viewpoints. To this end, we explicate the link between the sufficient cause model and the potential-outcome model, both of which have become the cornerstone of causal thinking in epidemiology and biomedicine. A clearer understanding of the link between the two models provides significant implications for interpretation of the observed risks in the subpopulations defined by exposure and confounder. We also show that the concept of potential completion times of sufficient causes is useful to fully discerning completed sufficient causes, which leads us to pay closer attention to the fourth of the nine Bradford Hill viewpoints—<i>temporality</i>. Decades after its introduction, the sufficient cause model may be vaguely understood and thus implicitly used under unreasonably strict assumptions. To <i>strengthen</i> our assessment in the face of multifactorial causality, it is significant to carefully scrutinize the observed associations in a complementary manner, using the sufficient cause model as well as its relevant causal models.
en-copyright=
kn-copyright=

en-aut-name=SuzukiEtsuji
en-aut-sei=Suzuki
en-aut-mei=Etsuji
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=

en-aut-name=YamamotoEiji
en-aut-sei=Yamamoto
en-aut-mei=Eiji
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=

affil-num=1
en-affil=Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=

affil-num=2
en-affil=Okayama University of Science
kn-affil=
en-keyword=Bradford Hill
kn-keyword=Bradford Hill
en-keyword=Causal inference
kn-keyword=Causal inference
en-keyword=Causal mechanisms
kn-keyword=Causal mechanisms
en-keyword=Counterfactual
kn-keyword=Counterfactual
en-keyword=Sufficient cause model
kn-keyword=Sufficient cause model
en-keyword=Potential-outcome model
kn-keyword=Potential-outcome model
END

start-ver=1.4
cd-journal=joma
no-vol=
cd-vols=
no-issue=
article-no=
start-page=
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2022
dt-pub=2022
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Exchangeability of Measures of Association Before and After Exposure Status Is Flipped: Its Relationship With Confounding in the Counterfactual Model
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Background: The counterfactual definition of confounding is often explained in the context of exchangeability between the exposed and unexposed groups. One recent approach is to examine whether the measures of association (eg, associational risk difference) are exchangeable when exposure status is flipped in the population of interest. We discuss the meaning and utility of this approach, showing their relationships with the concept of confounding in the counterfactual framework.<br>
Methods: Three hypothetical cohort studies are used, in which the target population is the total population. After providing an overview of the notions of confounding in distribution and in measure, we discuss the approach from the perspective of exchangeability of measures of association (eg, factual associational risk difference vs counterfactual associational risk difference).<br>
Results: In general, if the measures of association are non-exchangeable when exposure status is flipped, confounding in distribution is always present, although confounding in measure may or may not be present. Even if the measures of association are exchangeable when exposure status is flipped, there could be confounding both in distribution and in measure. When we use risk difference or risk ratio as a measure of interest and the exposure prevalence in the population is 0.5, testing the exchangeability of measures of association is equivalent to testing the absence of confounding in the corresponding measures.<br>
Conclusion: The approach based on exchangeability of measures of association essentially does not provide a definition of confounding in the counterfactual framework. Subtly differing notions of confounding should be distinguished carefully.
en-copyright=
kn-copyright=

en-aut-name=SuzukiEtsuji
en-aut-sei=Suzuki
en-aut-mei=Etsuji
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=

en-aut-name=YamamotoMichio
en-aut-sei=Yamamoto
en-aut-mei=Michio
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=

en-aut-name=YamamotoEiji
en-aut-sei=Yamamoto
en-aut-mei=Eiji
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=

affil-num=1
en-affil=Department of Epidemiology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=

affil-num=2
en-affil=Graduate School of Environmental and Life Science, Okayama University
kn-affil=

affil-num=3
en-affil=Okayama University of Science
kn-affil=
en-keyword=causality
kn-keyword=causality
en-keyword=causal inference
kn-keyword=causal inference
en-keyword=confounding
kn-keyword=confounding
en-keyword=counterfactual
kn-keyword=counterfactual
en-keyword=exchangeability
kn-keyword=exchangeability
en-keyword=target population
kn-keyword=target population
END

start-ver=1.4
cd-journal=joma
no-vol=
cd-vols=
no-issue=
article-no=
start-page=
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2022
dt-pub=20220705
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Tumor size before image-guided brachytherapy is an important factor of local control after radiotherapy for cervical squamous cell carcinoma: analysis in cases using central shielding
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=We analyzed the local control (LC) of cervical squamous cell carcinoma treated by computed tomography (CT)-based image-guided brachytherapy (IGBT) using central shielding (CS). We also examined the value of tumor diameter before brachytherapy (BT) as a factor of LC. In total, 97 patients were analyzed between April 2016 and March 2020. Whole-pelvic (WP) radiotherapy (RT) with CS was performed, and the total pelvic sidewall dose was 50 or 50.4 Gy; IGBT was delivered in 3-4 fractions. The total dose was calculated as the biologically equivalent dose in 2 Gy fractions, and distribution was modified manually by graphical optimization. The median follow-up period was 31.8 months (6.3-63.2 months). The 1- and 2-year LC rates were 89% and 87%, respectively. The hazard ratio was 10.11 (95% confidence interval: 1.48-68.99) for local recurrence in those with a horizontal tumor diameter >= 4 cm compared to those with < 4 cm before BT. In CT-based IGBT for squamous cell carcinoma, favorable LC can be obtained in patients with a tumor diameter < 4 cm before BT. However, if the tumor diameter is >= 4 cm, different treatment strategies such as employing interstitial-BT for dose escalation may be necessary.
en-copyright=
kn-copyright=

en-aut-name=YoshioKotaro
en-aut-sei=Yoshio
en-aut-mei=Kotaro
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=

en-aut-name=IharaHiroki
en-aut-sei=Ihara
en-aut-mei=Hiroki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=

en-aut-name=OkamotoKazuhiro
en-aut-sei=Okamoto
en-aut-mei=Kazuhiro
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=

en-aut-name=SuzukiEtsuji
en-aut-sei=Suzuki
en-aut-mei=Etsuji
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=

en-aut-name=OgataTakeshi
en-aut-sei=Ogata
en-aut-mei=Takeshi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=

en-aut-name=SugiyamaSoichi
en-aut-sei=Sugiyama
en-aut-mei=Soichi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=

en-aut-name=NakamuraKeiichiro
en-aut-sei=Nakamura
en-aut-mei=Keiichiro
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=7
ORCID=

en-aut-name=NagaoShoji
en-aut-sei=Nagao
en-aut-mei=Shoji
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=8
ORCID=

en-aut-name=MasuyamaHisashi
en-aut-sei=Masuyama
en-aut-mei=Hisashi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=9
ORCID=

en-aut-name=HirakiTakao
en-aut-sei=Hiraki
en-aut-mei=Takao
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=10
ORCID=

affil-num=1
en-affil=Department of Proton Beam Therapy, Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=

affil-num=2
en-affil=Department of Radiology, Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=

affil-num=3
en-affil=Department of Obstetrics and Gynecology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=

affil-num=4
en-affil=Department of Epidemiology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=

affil-num=5
en-affil=Department of Radiology, Tsuyama Central Hospital
kn-affil=

affil-num=6
en-affil=Department of Proton Beam Therapy, Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=

affil-num=7
en-affil=Department of Obstetrics and Gynecology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=

affil-num=8
en-affil=Department of Obstetrics and Gynecology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=

affil-num=9
en-affil=Department of Obstetrics and Gynecology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=

affil-num=10
en-affil=Department of Radiology, Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
en-keyword=cervical cancer
kn-keyword=cervical cancer
en-keyword=tumor size
kn-keyword=tumor size
en-keyword=squamous cell carcinoma
kn-keyword=squamous cell carcinoma
en-keyword=image-guided brachytherapy (IGBT)
kn-keyword=image-guided brachytherapy (IGBT)
en-keyword=central shielding (CS)
kn-keyword=central shielding (CS)
END

start-ver=1.4
cd-journal=joma
no-vol=11
cd-vols=
no-issue=1
article-no=
start-page=
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2023
dt-pub=20230224
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Attributable fraction and related measures: Conceptual relations in the counterfactual framework
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=The attributable fraction (population) has attracted much attention from a theoretical perspective and has been used extensively to assess the impact of potential health interventions. However, despite its extensive use, there is much confusion about its concept and calculation methods. In this article, we discuss the concepts of and calculation methods for the attributable fraction and related measures in the counterfactual framework, both with and without stratification by covariates. Generally, the attributable fraction is useful when the exposure of interest has a causal effect on the outcome. However, it is important to understand that this statement applies to the exposed group. Although the target population of the attributable fraction (population) is the total population, the causal effect should be present not in the total population but in the exposed group. As related measures, we discuss the preventable fraction and prevented fraction, which are generally useful when the exposure of interest has a preventive effect on the outcome, and we further propose a new measure called the attributed fraction. We also discuss the causal and preventive excess fractions, and provide notes on vaccine efficacy. Finally, we discuss the relations between the aforementioned six measures and six possible patterns using a conceptual schema.
en-copyright=
kn-copyright=

en-aut-name=SuzukiEtsuji
en-aut-sei=Suzuki
en-aut-mei=Etsuji
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=

en-aut-name=YamamotoEiji
en-aut-sei=Yamamoto
en-aut-mei=Eiji
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=

affil-num=1
en-affil=Department of Epidemiology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=

affil-num=2
en-affil=Okayama University of Science
kn-affil=
en-keyword=attributable fraction
kn-keyword=attributable fraction
en-keyword=counterfactual model
kn-keyword=counterfactual model
en-keyword=excess fraction
kn-keyword=excess fraction
en-keyword=preventable fraction
kn-keyword=preventable fraction
en-keyword=prevented fraction
kn-keyword=prevented fraction
en-keyword=vaccine efficacy
kn-keyword=vaccine efficacy
END

start-ver=1.4
cd-journal=joma
no-vol=12
cd-vols=
no-issue=6
article-no=
start-page=e027046
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2023
dt-pub=20230321
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Heat Exposure Following the Rainy Season Is Associated With an Increased Risk of Cardiovascular Emergency Among the Elderly in Japan
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Background: Despite the impact of heat exposure caused by global warming, few studies have investigated the hourly effects of heat exposure and the risk of cardiovascular disease (CVD) in the elderly. We examined the associations between short-term heat exposure and the risk of CVD in the elderly in Japan and evaluated possible effect-measure modifications by rainy seasons that occur in East Asia. <br>
Methods and Results: We conducted a time-stratified case-crossover study. The study included 6527 residents in Okayama City, Japan, aged >= 65 years who were transported to emergency hospitals between 2012 and 2019 for the onset of CVD during and a few months after the rainy seasons. We examined the linear associations between temperature and CVD-related emergency calls for each year and for hourly preceding intervals before the emergency call during the most relevant months. Heat exposure during 1 month after the end of the rainy season was associated with CVD risk; the odds ratio (OR) for a 1 degrees C increase in temperature was 1.34 (95% CI, 1.29-1.40). When we further explored the nonlinear association by using the natural cubic spline model, we found a J-shaped relationship. Exposures 0 to 6 hours before the case event (preceding intervals 0-6 hours) were associated with CVD risk, particularly for the preceding interval 0 to 1 hour (OR, 1.33 [95% CI, 1.28-1.39]). For longer periods, the highest risk was at preceding intervals 0 to 23 hours (OR, 1.40 [95% CI, 1.34-1.46]).<br> 
Conclusions: Elderly individuals may be more susceptible to CVD after heat exposure during the month after the rainy season. As shown by finer temporal resolution analyses, short-term exposure to increasing temperature can trigger CVD onset.
en-copyright=
kn-copyright=

en-aut-name=FujimotoRyohei
en-aut-sei=Fujimoto
en-aut-mei=Ryohei
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=

en-aut-name=SuzukiEtsuji
en-aut-sei=Suzuki
en-aut-mei=Etsuji
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=

en-aut-name=KashimaSaori
en-aut-sei=Kashima
en-aut-mei=Saori
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=

en-aut-name=NakamuraKazufumi
en-aut-sei=Nakamura
en-aut-mei=Kazufumi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=

en-aut-name=NaitoHiromichi
en-aut-sei=Naito
en-aut-mei=Hiromichi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=

en-aut-name=NakaoAtsunori
en-aut-sei=Nakao
en-aut-mei=Atsunori
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=

en-aut-name=ItoHiroshi
en-aut-sei=Ito
en-aut-mei=Hiroshi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=7
ORCID=

en-aut-name=YorifujiTakashi
en-aut-sei=Yorifuji
en-aut-mei=Takashi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=8
ORCID=

affil-num=1
en-affil=Department of Epidemiology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=

affil-num=2
en-affil=Department of Epidemiology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University 
kn-affil=

affil-num=3
en-affil=Environmental Health Sciences Laboratory, Graduate School of Advanced Science and Engineering, Hiroshima University
kn-affil=

affil-num=4
en-affil=Department of Cardiovascular Medicine, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=

affil-num=5
en-affil=Department of Emergency, Critical Care and Disaster Medicine, Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama University
kn-affil=

affil-num=6
en-affil=Department of Emergency, Critical Care and Disaster Medicine, Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama University
kn-affil=

affil-num=7
en-affil=Department of Cardiovascular Medicine, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=

affil-num=8
en-affil=Department of Epidemiology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
en-keyword=cardiovascular disease
kn-keyword=cardiovascular disease
en-keyword=climate change
kn-keyword=climate change
en-keyword=end of the rainy season
kn-keyword=end of the rainy season
en-keyword=heat exposure
kn-keyword=heat exposure
END

start-ver=1.4
cd-journal=joma
no-vol=43
cd-vols=
no-issue=4
article-no=
start-page=585
end-page=593
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2023
dt-pub=202304
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=IMPACT OF MACULAR INTRARETINAL HEMORRHAGE AND MACULAR HOLE ON THE VISUAL PROGNOSIS OF SUBMACULAR HEMORRHAGE DUE TO RETINAL ARTERIAL MACROANEURYSM RUPTURE
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Purpose: To compare the effects of macular intraretinal hemorrhage (IRH) and macular hole (MH) on best-corrected visual acuity (BCVA) after displacement of submacular hemorrhage (SMH) due to retinal arterial macroaneurysm (RAM) rupture.<br>
Methods: This multicenter retrospective study included 48 eyes with SMH due to RAM rupture. Cases underwent vitrectomy to displace SMH and were followed up for 6 months. We classified cases according to the presence of IRH and MH and compared the postoperative BCVA among the groups.<br>
Results: We classified the eyes into IRH(+)MH(+) group (10 eyes), IRH(+)MH(−) group (23 eyes), and IRH(−)MH(−) group (15 eyes). The postoperative BCVA was significantly worse in the IRH(+)MH(+) and IRH(+)MH(−) groups than in the IRH(−)MH(−) group (0.91 ± 0.41 in logarithm of the minimal angle of resolution units, Snellen equivalent 20/163, 0.87 ± 0.45, 20/148, and 0.18 ± 0.21, 20/30, respectively; P < 0.001). The postoperative central retinal thickness was significantly lower in the IRH(+) group (IRH(+)MH(+) and IRH(+)MH(−) groups combined) than in the IRH(−) group (IRH(−)MH(−) group) (121.4 ± 70.1 µm and 174.3 ± 32.9 µm, respectively, P = 0.008). The postoperative external limiting membrane and ellipsoid zone continuities were significantly discontinuous in the IRH(+) group (P < 0.001, P = 0.001, respectively). The multiple linear regression analysis showed that both IRH(+)MH(+) and IRH(+)MH(−) were associated with the postoperative BCVA (regression coefficient, 0.799 and 0.711, respectively; P < 0.001 for both).<br>
Conclusion: Both IRH and MH were poor prognostic indicators in cases with SMH due to RAM rupture.
en-copyright=
kn-copyright=

en-aut-name=DoiShinichiro
en-aut-sei=Doi
en-aut-mei=Shinichiro
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=

en-aut-name=KimuraShuhei
en-aut-sei=Kimura
en-aut-mei=Shuhei
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=

en-aut-name=SaitoShoko
en-aut-sei=Saito
en-aut-mei=Shoko
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=

en-aut-name=InoueMakoto
en-aut-sei=Inoue
en-aut-mei=Makoto
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=

en-aut-name=SakuraiToshiya
en-aut-sei=Sakurai
en-aut-mei=Toshiya
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=

en-aut-name=KoboriAkira
en-aut-sei=Kobori
en-aut-mei=Akira
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=

en-aut-name=HisatomiToshio
en-aut-sei=Hisatomi
en-aut-mei=Toshio
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=7
ORCID=

en-aut-name=ImaiHisanori
en-aut-sei=Imai
en-aut-mei=Hisanori
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=8
ORCID=

en-aut-name=KuriyamaShoji
en-aut-sei=Kuriyama
en-aut-mei=Shoji
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=9
ORCID=

en-aut-name=TakasuIppei
en-aut-sei=Takasu
en-aut-mei=Ippei
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=10
ORCID=

en-aut-name=HosokawaMio Morizane
en-aut-sei=Hosokawa
en-aut-mei=Mio Morizane
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=11
ORCID=

en-aut-name=ShiodeYusuke
en-aut-sei=Shiode
en-aut-mei=Yusuke
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=12
ORCID=

en-aut-name=MatobaRyo
en-aut-sei=Matoba
en-aut-mei=Ryo
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=13
ORCID=

en-aut-name=SuzukiEtsuji
en-aut-sei=Suzuki
en-aut-mei=Etsuji
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=14
ORCID=

en-aut-name=MorizaneYuki
en-aut-sei=Morizane
en-aut-mei=Yuki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=15
ORCID=

affil-num=1
en-affil=Department of Ophthalmology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=

affil-num=2
en-affil=Department of Ophthalmology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=

affil-num=3
en-affil=Kyorin Eye Center, Kyorin University School of Medicine
kn-affil=

affil-num=4
en-affil=Kyorin Eye Center, Kyorin University School of Medicine
kn-affil=

affil-num=5
en-affil=Department of Ophthalmology, Tane Memorial Eye Hospital
kn-affil=

affil-num=6
en-affil=Department of Ophthalmology, Fukui Red Cross Hospital
kn-affil=

affil-num=7
en-affil=Department of Ophthalmology, Chikushi Hospital, Fukuoka University
kn-affil=

affil-num=8
en-affil=Division of Ophthalmology, Department of Surgery, Kobe University Graduate School of Medicine
kn-affil=

affil-num=9
en-affil=Otowa Eye Center
kn-affil=

affil-num=10
en-affil=Takasu Eye Clinic
kn-affil=

affil-num=11
en-affil=Department of Ophthalmology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=

affil-num=12
en-affil=Department of Ophthalmology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=

affil-num=13
en-affil=Department of Ophthalmology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=

affil-num=14
en-affil=Department of Epidemiology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=

affil-num=15
en-affil=Department of Ophthalmology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
en-keyword=macular intraretinal hemorrhage
kn-keyword=macular intraretinal hemorrhage
en-keyword=macular hole
kn-keyword=macular hole
en-keyword=submacular hemorrhage
kn-keyword=submacular hemorrhage
en-keyword=retinal arterial macroaneurysm
kn-keyword=retinal arterial macroaneurysm
en-keyword=fluffy sign
kn-keyword=fluffy sign
en-keyword=tissue plasminogen activator
kn-keyword=tissue plasminogen activator
END

start-ver=1.4
cd-journal=joma
no-vol=
cd-vols=
no-issue=
article-no=
start-page=
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2023
dt-pub=20230810
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Accuracy of ultrasound vs. Fourier-domain optic biometry for measuring preoperative axial length in cases of rhegmatogenous retinal detachment
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Purpose　To identify a method for accurately measuring preoperative axial length (AL) in cases of rhegmatogenous retinal detachment (RRD).<br>
Study design　Retrospective study.<br>
Methods　This retrospective study included 83 eyes of 83 patients who underwent vitrectomy for RRD and had both preoperative and postoperative data for AL. Preoperative AL measurements for the affected eye were obtained using ultrasound (aUS-AL) and compared with those for affected and fellow eyes measured using optical biometry (aOB-AL and fOB-AL, respectively). Absolute differences between preoperative aUS-AL, aOB-AL, or fOB-AL measurements and postoperative AL (aPost-AL) were examined.<br>
Results　In the 41 eyes without macular detachment, the absolute difference between aOB-AL and aPost-AL (0.06±0.07 mm) was significantly smaller than between aUS-AL and aPost-AL (0.21±0.18 mm) and that between fOB-AL and aPost-AL (0.29±0.35 mm) (P = 0.017 and P < 0.001, respectively). In the 42 eyes with macular detachment, the absolute difference between aOB-AL and aPost-AL (1.22±2.40 mm) was significantly larger than between aUS-AL and aPost-AL (0.24±0.24 mm) and between fOB-AL and aPost-AL (0.35±0.49 mm) (P = 0.006, P = 0.016, respectively).<br>
Conclusion　The current findings suggest that aOB-AL is more accurate than aUS-AL or fOB-AL in cases of RRD without macular detachment, while aUS-AL or fOB-AL is more accurate than aOB-AL in cases with macular detachment.
en-copyright=
kn-copyright=

en-aut-name=KimuraShuhei
en-aut-sei=Kimura
en-aut-mei=Shuhei
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=

en-aut-name=HosokawaMio Morizane
en-aut-sei=Hosokawa
en-aut-mei=Mio Morizane
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=

en-aut-name=ShiodeYusuke
en-aut-sei=Shiode
en-aut-mei=Yusuke
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=

en-aut-name=MatobaRyo
en-aut-sei=Matoba
en-aut-mei=Ryo
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=

en-aut-name=KanzakiYuki
en-aut-sei=Kanzaki
en-aut-mei=Yuki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=

en-aut-name=GotoYasuhito
en-aut-sei=Goto
en-aut-mei=Yasuhito
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=

en-aut-name=KanenagaKeisuke
en-aut-sei=Kanenaga
en-aut-mei=Keisuke
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=7
ORCID=

en-aut-name=SuzukiEtsuji
en-aut-sei=Suzuki
en-aut-mei=Etsuji
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=8
ORCID=

en-aut-name=MorizaneYuki
en-aut-sei=Morizane
en-aut-mei=Yuki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=9
ORCID=

affil-num=1
en-affil=Department of Ophthalmology, Graduate School  of Medicine, Dentistry and Pharmaceutical Sciences,  Okayama University
kn-affil=

affil-num=2
en-affil=Department of Ophthalmology, Graduate School  of Medicine, Dentistry and Pharmaceutical Sciences,  Okayama University
kn-affil=

affil-num=3
en-affil=Department of Ophthalmology, Graduate School  of Medicine, Dentistry and Pharmaceutical Sciences,  Okayama University
kn-affil=

affil-num=4
en-affil=Department of Ophthalmology, Graduate School  of Medicine, Dentistry and Pharmaceutical Sciences,  Okayama University
kn-affil=

affil-num=5
en-affil=Department of Ophthalmology, Graduate School  of Medicine, Dentistry and Pharmaceutical Sciences,  Okayama University
kn-affil=

affil-num=6
en-affil=Department of Ophthalmology, Graduate School  of Medicine, Dentistry and Pharmaceutical Sciences,  Okayama University
kn-affil=

affil-num=7
en-affil=Department of Ophthalmology, Graduate School  of Medicine, Dentistry and Pharmaceutical Sciences,  Okayama University
kn-affil=

affil-num=8
en-affil=Department of Epidemiology, Graduate School of Medicine,  Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=

affil-num=9
en-affil=Department of Ophthalmology, Graduate School  of Medicine, Dentistry and Pharmaceutical Sciences,  Okayama University
kn-affil=
en-keyword=Axial length
kn-keyword=Axial length
en-keyword=Rhegmatogenous retinal detachment
kn-keyword=Rhegmatogenous retinal detachment
en-keyword=Macular detachment
kn-keyword=Macular detachment
en-keyword=Fourier-domain optic biometry 
kn-keyword=Fourier-domain optic biometry 
en-keyword=Ultrasound
kn-keyword=Ultrasound
END

start-ver=1.4
cd-journal=joma
no-vol=13
cd-vols=
no-issue=1
article-no=
start-page=13770
end-page=
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2023
dt-pub=20230823
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=A population-based longitudinal study on glycated hemoglobin levels and new-onset chronic kidney disease among non-diabetic Japanese adults
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Chronic kidney disease (CKD) is a major global public health problem. Recent studies reported that diabetes and prediabetes are risk factors for developing CKD; however, the exact glycated hemoglobin (HbA1c) cut-off value for prediabetes remains controversial. In this study, we aimed to examine the relationship between HbA1c levels and subsequent CKD development in greater detail than previous studies. Longitudinal data of annual checkups of 7176 Japanese non-diabetic people (male: 40.4%) from 1998 to 2022 was analyzed. HbA1c values were categorized into < 5.0%, 5.0-5.4%, 5.5-5.9%, and 6.0-6.4%. CKD was defined as an estimated glomerular filtration rate < 60 ml/min/1.73 m(2). The descriptive statistics at study entry showed that higher HbA1c values were associated with male, older, overweight or obese, hypertensive, or dyslipidemic people. During a mean follow-up of 7.75 person-years, 2374 participants (male: 40.0%) developed CKD. The Weibull accelerated failure time model was selected because the proportional hazards assumption was violated. The adjusted time ratios of developing CKD for HbA1c levels of 5.5-5.9% and 6.0-6.4% compared with 5.0-5.4% were 0.97 (95% confidence interval: 0.92-1.03) and 1.01 (95% confidence interval: 0.90-1.13), respectively. There was no association between HbA1c in the prediabetic range and subsequent CKD development.
en-copyright=
kn-copyright=

en-aut-name=OkawaYukari
en-aut-sei=Okawa
en-aut-mei=Yukari
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=

en-aut-name=SuzukiEtsuji
en-aut-sei=Suzuki
en-aut-mei=Etsuji
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=

en-aut-name=MitsuhashiToshiharu
en-aut-sei=Mitsuhashi
en-aut-mei=Toshiharu
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=

en-aut-name=TsudaToshihide
en-aut-sei=Tsuda
en-aut-mei=Toshihide
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=

en-aut-name=YorifujiTakashi
en-aut-sei=Yorifuji
en-aut-mei=Takashi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=

affil-num=1
en-affil=Department of Epidemiology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=

affil-num=2
en-affil=Department of Epidemiology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=

affil-num=3
en-affil=Center for Innovative Clinical Medicine, Okayama University Hospital
kn-affil=

affil-num=4
en-affil=Department of Human Ecology, Graduate School of Environmental and Life Science, Okayama University
kn-affil=

affil-num=5
en-affil=Department of Epidemiology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
kn-affil=
END

start-ver=1.4
cd-journal=joma
no-vol=77
cd-vols=
no-issue=6
article-no=
start-page=607
end-page=612
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2023
dt-pub=202312
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Fine Particulate Matter and Diabetes Prevalence in Okayama, Japan
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=Many studies have shown an association between long-term exposure to particulate matter having an aerodynamic diameter of 2.5 μm or less (PM2.5) and diabetes mellitus (DM), but few studies have focused on Asian subjects. We thus examined the association between long-term exposure to PM2.5 and DM prevalence in Okayama City, Japan. We included 76,591 participants who had received basic health checkups in 2006 and 2007. We assigned the census-level modeled PM2.5 data from 2006 and 2007 to each participant and defined DM using treatment status and the blood testing. PM2.5 was associated with DM prevalence, and the prevalence ratio (95% confidence interval) was 1.10 (1.00-1.20) following each interquartile range increase (2.1 μg/m3) in PM2.5. This finding is consistent with previous results and suggests that long-term exposure to PM2.5 is associated with an increased prevalence of DM in Okayama City, Japan, where the PM2.5 level is lower than in other cities in Asian countries.
en-copyright=
kn-copyright=

en-aut-name=TaniYasunari
en-aut-sei=Tani
en-aut-mei=Yasunari
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=

en-aut-name=KashimaSaori
en-aut-sei=Kashima
en-aut-mei=Saori
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=

en-aut-name=MitsuhashiToshiharu
en-aut-sei=Mitsuhashi
en-aut-mei=Toshiharu
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=

en-aut-name=SuzukiEtsuji
en-aut-sei=Suzuki
en-aut-mei=Etsuji
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=

en-aut-name=TakaoSoshi
en-aut-sei=Takao
en-aut-mei=Soshi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=5
ORCID=

en-aut-name=YorifujiTakashi
en-aut-sei=Yorifuji
en-aut-mei=Takashi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=6
ORCID=

affil-num=1
en-affil=Department of Epidemiology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=

affil-num=2
en-affil=Environmental Health Sciences Laboratory, Graduate School of Advanced Science and Engineering, Center for the Planetary Health and Innovation Science, The IDEC Institute, Hiroshima University
kn-affil=

affil-num=3
en-affil=Center for Innovate Clinical Medicine, Okayama University Hospital
kn-affil=

affil-num=4
en-affil=Department of Epidemiology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=

affil-num=5
en-affil=Department of Epidemiology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=

affil-num=6
en-affil=Department of Epidemiology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
kn-affil=
en-keyword=air pollution
kn-keyword=air pollution
en-keyword=diabetes mellitus
kn-keyword=diabetes mellitus
en-keyword=epidemiology
kn-keyword=epidemiology
en-keyword=glycosylated hemoglobin
kn-keyword=glycosylated hemoglobin
en-keyword=particulate matter
kn-keyword=particulate matter
END