Author
Listed:
- Xinge Zhang
(School of Health Sciences, Wuhan University, Wuhan 430071, China
These authors contributed equally to this work.)
- Yanan Chen
(School of Health Sciences, Wuhan University, Wuhan 430071, China
These authors contributed equally to this work.)
- Rui Zhang
(College of Life Sciences, South-Central University for Nationalities, Wuhan 430074, China)
- Justin B. Moore
(Department of Family & Community Medicine, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA
Department of Epidemiology & Prevention, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA
Department of Implementation Science, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA)
- Haotian Ruan
(School of Health Sciences, Wuhan University, Wuhan 430071, China)
- Jialin Fu
(School of Health Sciences, Wuhan University, Wuhan 430071, China)
- Guiyu Qin
(School of Health Sciences, Wuhan University, Wuhan 430071, China)
- Xinru Yu
(School of Health Sciences, Wuhan University, Wuhan 430071, China)
- Zeyu Hou
(School of Health Sciences, Wuhan University, Wuhan 430071, China)
- Qin Cheng
(School of Health Sciences, Wuhan University, Wuhan 430071, China)
- Xiaoyu Hu
(School of Health Sciences, Wuhan University, Wuhan 430071, China)
- Siqi Zhang
(School of Health Sciences, Wuhan University, Wuhan 430071, China)
- Rui Li
(School of Health Sciences, Wuhan University, Wuhan 430071, China
Global Health Institute, Wuhan University, Wuhan 430071, China)
Abstract
This study examined the cross-sectional and longitudinal association of sleep timing with weight status in 14- to 19-year-old adolescents in Wuhan, China. A prospective school-based study was conducted in Wuhan, China between 28 May and 29 September 2019. Data on sociodemographic information, academic performance, diet, mental health status, physical activity, sleep characteristics, body weight, and height were collected. A linear regression model and binary logistic regression model were performed. A total of 1194 adolescents were included in the analysis. Adolescents who woke up before 05:45 had higher body mass index (BMI) Z-score (odds ratio (OR) with 95% confidence interval (CI) = 1.28 (1.05, 1.57), p = 0.02) and higher odds of overweight/obesity (odds ratio (OR) with 95% confidence interval (CI) = 1.74 (1.10, 2.76), p = 0.02) at baseline after fully adjustment for covariates, compared with those who woke up after 05:45. Longitudinal data showed a nonsignificant association between waking up time and change in BMI Z-score ( p = 0.18). No association of bedtime with weight status was observed in this sample after full adjustment ( p > 0.1). Earlier waking up time might contribute to overweight and obesity in adolescents; however, more data are needed to test and elucidate this relationship.
Suggested Citation
Xinge Zhang & Yanan Chen & Rui Zhang & Justin B. Moore & Haotian Ruan & Jialin Fu & Guiyu Qin & Xinru Yu & Zeyu Hou & Qin Cheng & Xiaoyu Hu & Siqi Zhang & Rui Li, 2020.
"Association between Sleep Timing and Weight Status among 14- to 19-Year-Old Adolescents in Wuhan, China,"
IJERPH, MDPI, vol. 17(16), pages 1-12, August.
Handle:
RePEc:gam:jijerp:v:17:y:2020:i:16:p:5703-:d:395769
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