Zobida Islam1, Shamima Akter2, Takeshi Kochi3, Huanhuan Hu2, Masafumi Eguchi3, Miwa Yamaguchi2, Keisuke Kuwahara4, Isamu Kabe3, Tetsuya Mizoue2. 1. Department of Epidemiology and Prevention, Center for Clinical Sciences, National Center for Global Health and Medicine, Tokyo, Japan. Electronic address: zislam@hosp.ncgm.go.jp. 2. Department of Epidemiology and Prevention, Center for Clinical Sciences, National Center for Global Health and Medicine, Tokyo, Japan. 3. Department of Health Administration, Furukawa Electric Corporation, Tokyo, Japan. 4. Department of Epidemiology and Prevention, Center for Clinical Sciences, National Center for Global Health and Medicine, Tokyo, Japan; Teikyo University Graduate School of Public Health, Tokyo, Japan.
Abstract
OBJECTIVE: Social jetlag, ie, the mismatch between biological and social timing, has been suggested to induce obesity and cardiometabolic abnormalities. Yet, no study has currently linked social jetlag to metabolic syndrome (MetS) among Asians. The aim of this study was to investigate the cross-sectional association of social jetlag with MetS in a Japanese working population. METHODS: Participants were 1164 employees, aged 18-78 years, who completed a health survey at a periodic checkup. Social jetlag was calculated as the difference in hours of midpoint of sleep times between weekdays and weekends. MetS was defined according to the Joint Interim Statement criteria. Multivariable logistic regression was used to examine the association between social jetlag and MetS with adjustment for potential confounding variables. RESULTS: Greater social jetlag was significantly associated with an increased likelihood of having MetS. The multivariable adjusted odds ratio (95% confidence intervals) for ≥2 h of social jetlag was 1.92 (1.01-3.67) compared to those with <1 h of social jetlag. Of the components of MetS, greater social jetlag was significantly associated with an increased likelihood of having high waist circumference; the multivariable adjusted odds ratio (95% confidence intervals) for ≥2 h of social jetlag was 2.26 (1.33-3.84) compared to those with <1 h of social jetlag. CONCLUSION: Social jetlag may be associated with an increased likelihood of having MetS among non-shift workers.
OBJECTIVE: Social jetlag, ie, the mismatch between biological and social timing, has been suggested to induce obesity and cardiometabolic abnormalities. Yet, no study has currently linked social jetlag to metabolic syndrome (MetS) among Asians. The aim of this study was to investigate the cross-sectional association of social jetlag with MetS in a Japanese working population. METHODS:Participants were 1164 employees, aged 18-78 years, who completed a health survey at a periodic checkup. Social jetlag was calculated as the difference in hours of midpoint of sleep times between weekdays and weekends. MetS was defined according to the Joint Interim Statement criteria. Multivariable logistic regression was used to examine the association between social jetlag and MetS with adjustment for potential confounding variables. RESULTS: Greater social jetlag was significantly associated with an increased likelihood of having MetS. The multivariable adjusted odds ratio (95% confidence intervals) for ≥2 h of social jetlag was 1.92 (1.01-3.67) compared to those with <1 h of social jetlag. Of the components of MetS, greater social jetlag was significantly associated with an increased likelihood of having high waist circumference; the multivariable adjusted odds ratio (95% confidence intervals) for ≥2 h of social jetlag was 2.26 (1.33-3.84) compared to those with <1 h of social jetlag. CONCLUSION: Social jetlag may be associated with an increased likelihood of having MetS among non-shift workers.
Authors: Aline Cunha Carvalho; Maria Carliana Mota; Luisa Pereira Marot; Luís Augusto Mattar; José Américo Gomides de Sousa; Ana Cristina Tomaz Araújo; Camila Thaís da Costa Assis; Cibele Aparecida Crispim Journal: Obes Surg Date: 2020-07-29 Impact factor: 4.129
Authors: Eva Fárková; Jakub Schneider; Michal Šmotek; Eduard Bakštein; Jitka Herlesová; Jana Kopřivová; Petra Šrámková; Dita Pichlerová; Martin Fried Journal: Biopsychosoc Med Date: 2019-10-25