start-ver=1.4 cd-journal=joma no-vol=77 cd-vols= no-issue=5 article-no= start-page=511 end-page=516 dt-received= dt-revised= dt-accepted= dt-pub-year=2023 dt-pub=202310 dt-online= en-article= kn-article= en-subject= kn-subject= en-title= kn-title=Associations among Preoperative Malnutrition, Muscle Loss, and Postoperative Walking Ability in Intertrochanteric Fractures: A Retrospective Study en-subtitle= kn-subtitle= en-abstract= kn-abstract=Sarcopenia and malnutrition are increasing in older adults and are reported risk factors for functional impairment after hip fracture surgery. This study aimed to investigate the associations between skeletal muscle mass loss, malnutrition, and postoperative walking ability in patients with hip fracture. We retrospectively reviewed patients who underwent intertrochanteric fracture surgery at our institute. The psoas muscle index, controlling nutritional status score, and functional ambulation category (FAC) were used to evaluate skeletal muscle mass, nutritional status, and walking ability, respectively. Six months after surgery, walking ability was assessed as either ggait disturbanceh or gindependent gaith. Multivariate binomial logistic regression analysis, with skeletal muscle mass, nutritional status, and other factors, was used to predict the risk of being assigned to the gait disturbance group. This study included 95 patients (mean age, 85.2 years; 70 women). Sixty-six patients had low skeletal muscle mass, 35 suffered from malnutrition, and 28 had both. Malnutrition and low skeletal muscle mass were significantly associated with postoperative gait disturbance (FAC < 3). Preoperative low skeletal muscle mass and malnutrition were risk factors for postoperative poor walking ability. Further preventive interventions focusing on skeletal muscle mass and nutritional status are required. en-copyright= kn-copyright= en-aut-name=SatoKohei en-aut-sei=Sato en-aut-mei=Kohei kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=1 ORCID= en-aut-name=TsujiHironori en-aut-sei=Tsuji en-aut-mei=Hironori kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=2 ORCID= en-aut-name=YorimitsuMasanori en-aut-sei=Yorimitsu en-aut-mei=Masanori kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=3 ORCID= en-aut-name=UeharaTakenori en-aut-sei=Uehara en-aut-mei=Takenori kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=4 ORCID= en-aut-name=OkazakiYuki en-aut-sei=Okazaki en-aut-mei=Yuki kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=5 ORCID= en-aut-name=TakaoShinichiro en-aut-sei=Takao en-aut-mei=Shinichiro kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=6 ORCID= en-aut-name=HataToshiaki en-aut-sei=Hata en-aut-mei=Toshiaki kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=7 ORCID= en-aut-name=FukuokaShiro en-aut-sei=Fukuoka en-aut-mei=Shiro kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=8 ORCID= en-aut-name=NodaTomoyuki en-aut-sei=Noda en-aut-mei=Tomoyuki kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=9 ORCID= en-aut-name=KandaHideyuki en-aut-sei=Kanda en-aut-mei=Hideyuki kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=10 ORCID= en-aut-name=OzakiToshifumi en-aut-sei=Ozaki en-aut-mei=Toshifumi kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=11 ORCID= affil-num=1 en-affil=Department of Orthopedic Surgery, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences kn-affil= affil-num=2 en-affil=Department of Orthopedic Surgery, Japanese Red Cross Okayama Hospital kn-affil= affil-num=3 en-affil=Department of Orthopedic Surgery, Okayama University Hospital kn-affil= affil-num=4 en-affil=Department of Emergency, Critical Care, and Disaster Medicine, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences kn-affil= affil-num=5 en-affil=Department of Orthopedic Surgery, Tsuyama Chuo Hospital kn-affil= affil-num=6 en-affil=Department of Orthopedic Surgery, Okayama Medical Center kn-affil= affil-num=7 en-affil=Department of Orthopedic Surgery, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences kn-affil= affil-num=8 en-affil=Department of Orthopedic Surgery, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences kn-affil= affil-num=9 en-affil=Department of Orthopedic Surgery, Kawasaki Medical School, General Medical Center kn-affil= affil-num=10 en-affil=Department of Public Health, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences kn-affil= affil-num=11 en-affil=Department of Orthopedic Surgery, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences kn-affil= en-keyword=sarcopenia kn-keyword=sarcopenia en-keyword=nutrition kn-keyword=nutrition en-keyword=geriatric hip fracture kn-keyword=geriatric hip fracture en-keyword=psoas muscle index kn-keyword=psoas muscle index en-keyword=controlling nutritional status score kn-keyword=controlling nutritional status score END start-ver=1.4 cd-journal=joma no-vol=13 cd-vols= no-issue=1 article-no= start-page=11491 end-page= dt-received= dt-revised= dt-accepted= dt-pub-year=2023 dt-pub=20230717 dt-online= en-article= kn-article= en-subject= kn-subject= en-title= kn-title=Relationships of rapid eating with visceral and subcutaneous fat mass and plasma adiponectin concentration en-subtitle= kn-subtitle= en-abstract= kn-abstract=Rapid eating has been demonstrated to be associated with obesity and overweight. However, few studies have characterized the separate relationships of eating speed with visceral and subcutaneous fat mass or circulating adiponectin concentration. We hypothesized that rapid eating is associated with the larger visceral fat tissue (VFT) area and lower adiponectin concentration, but not with the subcutaneous fat tissue (SFT) area in men and women. We performed a cross-sectional study of 712 adults aged 20?86 years (528 men and 184 women; mean?}?SD age 59.36?}?13.61 years). The participants completed a self-reported questionnaire, and underwent anthropometric and laboratory measurements and computed tomographic imaging of the abdomen as a part of annual medical check-ups. Multivariate linear regression analyses revealed that rapid eating was associated with larger visceral (B?=?24.74; 95% CI 8.87?40.61, p?=?0.002) and subcutaneous fat areas (B?=?31.31; 95% CI 12.23?50.38, p?=?0.001), lower adiponectin concentration (B?=????2.92; 95% CI???4.39????1.46, p? Methods:This survey was a cross-sectional survey of high schools across Japan in 2017. There were 3189 teachers (2088 males and 1098 female) who participated in this survey. The questionnaire asked about their devices, both the time and the activities of using their internet, and sociodemographic factors. IA was measured by the internet addiction test (IAT) by which 40-79 points were classified as at-risk IA, and more as IA. We compared the related factors of at-risk IA and non-IA using descriptive analysis and multivariable regression analysis.
Results: The rates of IA and at-risk IA were 0.09% (n = 3) and 6.91% (n = 220), respectively. At-risk IA was positively associated with activities on the internet for gaming, entertainment, net-surfing, and younger ages. In addition, the at-risk IA group had a longer time spent on the internet than the non-IA group.
Conclusions: Around 7% of high school teachers are at-risk IA in this survey, though they have regular work. Our results suggest that at-risk IA may be reinforced not only by the active internet use such as gaming, but also by purposeless behaviors, such as net-surfing. Managing time on the internet may support preventing at-risk IA among senior high school teachers. en-copyright= kn-copyright= en-aut-name=FukudaMari en-aut-sei=Fukuda en-aut-mei=Mari kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=1 ORCID= en-aut-name=ChowdhuryMohammad en-aut-sei=Chowdhury en-aut-mei=Mohammad kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=2 ORCID= en-aut-name=ChowdhuryTanvir Turin en-aut-sei=Chowdhury en-aut-mei=Tanvir Turin kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=3 ORCID= en-aut-name=TsumuraHideki en-aut-sei=Tsumura en-aut-mei=Hideki kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=4 ORCID= en-aut-name=TsuchieRina en-aut-sei=Tsuchie en-aut-mei=Rina kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=5 ORCID= en-aut-name=KinutaMinako en-aut-sei=Kinuta en-aut-mei=Minako kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=6 ORCID= en-aut-name=HisamatsuTakashi en-aut-sei=Hisamatsu en-aut-mei=Takashi kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=7 ORCID= en-aut-name=KandaHideyuki en-aut-sei=Kanda en-aut-mei=Hideyuki kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=8 ORCID= affil-num=1 en-affil=Okayama University kn-affil= affil-num=2 en-affil=University of Calgary kn-affil= affil-num=3 en-affil=University of Calgary kn-affil= affil-num=4 en-affil=Tokushima University kn-affil= affil-num=5 en-affil=Shimane University kn-affil= affil-num=6 en-affil=Okayama University kn-affil= affil-num=7 en-affil=Okayama University kn-affil= affil-num=8 en-affil=Okayama University kn-affil= en-keyword=epidemiology of mental disorders kn-keyword=epidemiology of mental disorders en-keyword=internet addiction kn-keyword=internet addiction en-keyword=Nationwide survey kn-keyword=Nationwide survey en-keyword=preventive medicine kn-keyword=preventive medicine en-keyword=teachers kn-keyword=teachers END start-ver=1.4 cd-journal=joma no-vol=20 cd-vols= no-issue= article-no= start-page=101203 end-page= dt-received= dt-revised= dt-accepted= dt-pub-year=2020 dt-pub=202012 dt-online= en-article= kn-article= en-subject= kn-subject= en-title= kn-title=Gender differences in dietary behaviors among Japanese adolescents en-subtitle= kn-subtitle= en-abstract= kn-abstract=Unhealthy dietary behaviors in adolescence are an important public health problem. Gender differences in dietary behaviors have already appeared during adolescence. However, few studies have assessed a variety of adolescent dietary behaviors in Japan. We aimed to clarify gender differences in unhealthy dietary behaviors among Japanese adolescents. The participants consisted of 84,988 participants from seventh to 12th grades. Unhealthy dietary behaviors were defined according to the National Health and Nutrition Survey. Multivariable logistic regression was used to analyze a nationally representative sample of Japanese adolescents from the 2014 to 2015 Lifestyle Survey. The effective response rate was 51.4%. The prevalence of unhealthy dietary behaviors (skipping breakfast, snacking, eating out, skipping meals, eating alone at dinner, and subjectively poor diet quality) among boys and girls was 14.2% versus 12.4%, 19.6% versus 14.1%, 10.6% versus 7.0%, 7.9% versus 5.6%, 13.3% versus 12.1%, and 12.3% versus 15.8%, respectively. Compared with boys, girls were more negatively associated with skipping breakfast [OR?=?0.76 (95% CI 0.73?0.79)], snacking [OR?=?0.67 (95% CI 0.65?0.70)], eating out [OR?=?0.62 (95% CI 0.59?0.66)], skipping meals [OR?=?0.61 (95% CI 0.58?0.65)], and eating alone at dinner [OR?=?0.79 (95% CI 0.76?0.83)]. However, girls were more positively associated with subjectively poor diet quality [OR?=?1.19 (95% CI 1.14.1.24)]. The findings suggest that gender differences existed in dietary behaviors. Gender differences in dietary behaviors suggest opportunities for tailoring interventions related to dietary education in schools. en-copyright= kn-copyright= en-aut-name=OtsukaYuichiro en-aut-sei=Otsuka en-aut-mei=Yuichiro kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=1 ORCID= en-aut-name=KaneitaYoshitaka en-aut-sei=Kaneita en-aut-mei=Yoshitaka kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=2 ORCID= en-aut-name=ItaniOsamu en-aut-sei=Itani en-aut-mei=Osamu kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=3 ORCID= en-aut-name=JikeMaki en-aut-sei=Jike en-aut-mei=Maki kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=4 ORCID= en-aut-name=OsakiYoneatsu en-aut-sei=Osaki en-aut-mei=Yoneatsu kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=5 ORCID= en-aut-name=HiguchiSusumu en-aut-sei=Higuchi en-aut-mei=Susumu kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=6 ORCID= en-aut-name=KandaHideyuki en-aut-sei=Kanda en-aut-mei=Hideyuki kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=7 ORCID= affil-num=1 en-affil=Division of Public Health, Department of Social Medicine, Nihon University School of Medicine kn-affil= affil-num=2 en-affil=Division of Public Health, Department of Social Medicine, Nihon University School of Medicine kn-affil= affil-num=3 en-affil=Division of Public Health, Department of Social Medicine, Nihon University School of Medicine kn-affil= affil-num=4 en-affil=Division of Public Health, Department of Social Medicine, Nihon University School of Medicine kn-affil= affil-num=5 en-affil=Division of Environmental and Preventive Medicine, Department of Social Medicine, Faculty of Medicine kn-affil= affil-num=6 en-affil=National Hospital Organization Kurihama Medical and Addiction Center kn-affil= affil-num=7 en-affil=Department of Public Health, Okayama University Graduate School of Medicine Dentistry and Pharmaceutical Sciences, University Faculty of Medicine kn-affil= en-keyword=Adolescents kn-keyword=Adolescents en-keyword=Dietary behaviors kn-keyword=Dietary behaviors en-keyword=Cross-sectional study kn-keyword=Cross-sectional study en-keyword=Gender difference kn-keyword=Gender difference END start-ver=1.4 cd-journal=joma no-vol=132 cd-vols= no-issue=2 article-no= start-page=68 end-page=73 dt-received= dt-revised= dt-accepted= dt-pub-year=2020 dt-pub=20200803 dt-online= en-article= kn-article= en-subject= kn-subject= en-title=Study on blood pressure at home using Internet of Things among general residents : Masuda Study kn-title=’nˆζZ–―‚Ι‚¨‚―‚ιIoT ‹Zp‚π—p‚’‚½‰Ζ’λŒŒˆ³ŠΗ—Œ€‹†\ ‰v“cŒ€‹†\ en-subtitle= kn-subtitle= en-abstract= kn-abstract= en-copyright= kn-copyright= en-aut-name=KandaHideyuki en-aut-sei=Kanda en-aut-mei=Hideyuki kn-aut-name=_“cGK kn-aut-sei=_“c kn-aut-mei=GK aut-affil-num=1 ORCID= affil-num=1 en-affil=Department of Public Health, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences kn-affil=‰ͺŽR‘εŠw‘εŠw‰@ˆγŽ•–ςŠw‘‡Œ€‹†‰Θ en-keyword=‰Ζ’λŒŒˆ³‘ͺ’θ kn-keyword=‰Ζ’λŒŒˆ³‘ͺ’θ en-keyword=IoT kn-keyword=IoT en-keyword=’nˆζZ–― kn-keyword=’nˆζZ–― en-keyword=”]‘²’†—\–h kn-keyword=”]‘²’†—\–h END