The cross‐sectional and prospective associations between sleep characteristics and adiposity in toddlers: Results from the GET UP! Study

Chen

et al. 2020

IJERPH

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.

Section: Discussionsupporting

confidence: 92%

Section: Discussionmentioning

confidence: 99%

Association between Sleep Timing and Weight Status among 14- to 19-Year-Old Adolescents in Wuhan, China

Chen

et al. 2020

IJERPH

“…In line with previous studies [26,33], accelerometry data were visually inspected minute by minute, in consultation with the activity logs, to identify nap and nighttime sleep duration. Specifically, the nap onset/bedtime was initially located when a switch in the accelerometer output from the inclinometer sitting or standing to inclinometer lying or off was detected, which approximately corresponded with the nap onset registered in the corresponding activity log.…”

Section: Physical Activity Sedentary Behaviour and Sleepmentioning

confidence: 99%

Proportion of kindergarten children meeting the WHO guidelines on physical activity, sedentary behaviour and sleep and associations with adiposity in urban Beijing

et al. 2020

Self Cite

Background: World Health Organisation (WHO) Guidelines on Physical Activity, Sedentary Behaviour and Sleep for Children under 5 Years of Age were released in 2019. The aim of this study was to examine the proportion of Chinese kindergarten children who met each individual guideline and each combination of the guidelines and the associations with adiposity. Methods: Participants were 254 kindergarten children aged 4.1-6.3 years recruited from three kindergartens in urban area of Beijing. Physical activity, sedentary behaviour and sleep duration were assessed using 24-h accelerometry over three consecutive days. Screen time was reported by parents. Weight and height were measured; and children were categorised into normal weight and overweight/obese groups according to the WHO age-and sex-specific criteria. Frequency analyses were performed to examine the proportion of children meeting individual and combination of these guidelines. Logistics regression analyses were conducted to examine the associations between guideline compliance and adiposity. Results: The proportion of children who met the physical activity (≥ 3 h daily physical activity, including ≥1 h daily moderate-to vigorous-intensity physical activity (MVPA)), sedentary screen time (< 1 h/day), and sleep guidelines (10-13 h/day) were 65.4, 88.2 and 29.5%, respectively; only 15.0% met all three guidelines and 2.7% did not meet any of the guidelines. Not meeting the physical activity guideline, sleep guideline, or combination of any two guidelines, or all three guidelines was not associated with overweight or obesity; however, children who did not meet the sedentary screen time guidelines were at higher risk for overweight and obesity (odds ratio = 3.76, 95% CI: 1.50-9.45). Conclusions: In our study, only a small proportion of children met all three guidelines. Most Chinese kindergarten children met physical activity guidelines or screen time guidelines, whereas fewer children met sleep guideline. Not meeting sedentary screen time guidelines was associated with adiposity, which warrant further interventions for limiting screen time in young children.

“…Sleep problems are common in children and adolescents with obesity, and have an impact on pediatric obesity 1‐4 . Obstructive sleep apnea (OSA) is one of sleep problems characterised by repeated partial or complete collapse of the upper airway during sleep, causing chronic intermittent hypoxia (CIH) and sleep fragmentation.…”

Section: Introductionmentioning

confidence: 99%

Association between obstructive sleep apnea and non‐alcoholic fatty liver disease in pediatric patients: a meta‐analysis

Chen

et al. 2020

Pediatric Obesity

Summary Background Some studies have reported a relationship between obstructive sleep apnea (OSA) and non‐alcoholic fatty liver disease (NAFLD) in pediatric population. However, this issue remains controversial. Objectives The purpose of the present study was to investigate the association between OSA and NAFLD in pediatric population. Methods We systematically searched PubMed, Web of Science, Embase for eligible studies. The data involving markers of NAFLD including alanine aminotransferase (ALT), aspartate aminotransferase (AST), hepatic inflammation, hepatic fibrosis of both OSA group and control group were extracted. Pooled standardised mean difference (SMD) and weighted mean difference (WMD) were appropriately calculated through a fixed or random‐effect model. Results Nine cross‐sectional studies with 1133 children and adolescents were included. OSA was significantly associated with ALT, AST, and NAFLD fibrosis stage, but not NAFLD inflammation grade. Subgroup analysis indicated that both mild OSA and severe OSA were significantly associated with elevated ALT and AST. Furthermore, in the studies with all main confounding factors (age, gender, and BMI) matched, OSA group had higher ALT and AST levels than control group. Conclusions This meta‐analysis suggested that OSA was associated with NAFLD evidenced by elevated liver enzymes and progressive hepatic fibrosis in pediatric population. Screening and monitoring of NAFLD in pediatric patients with obesity‐related OSA are necessary.