Associations between Sleep Pattern and Quality and Cardiovascular Risk Factors among Macao School Students

Wang

et al. 2021

IJERPH

This study aimed at investigating the sleep status and its associated factors in Shaanxi province, China. We conducted a cross-sectional study among 11,399 subjects in Shaanxi Province, China. Data were collected via spot field questionnaire surveys. The contents included demographic characteristics, sleep status, lifestyles, disease history and other associated factors. Logistic regression analysis was used to estimate the effect of associated factors on sleep quality. A total of 11,036 subjects were included in the final analysis. In total, 12.8% of the participants had bad or very bad sleep. In the last month, 8.4% of the participants had difficulty in initiating sleep, 7.6% of the participants had difficulty in maintaining sleep, 8.8% of the participants suffered from awakening earlier and 10.3% of the participants had the problem of feeling sleepy during the day ≥3 times per week. Poorer sleep quality was associated with being female, being unmarried or without cohabiting with a boyfriend/girlfriend, being divorced or widowed, heart diseases, musculoskeletal diseases, concerns about their own health, drinking alcohol, taking hypnotics, and a longer daily screen time. Better sleep quality was associated with medium education level, high family monthly income, good self-reported health status, and having breakfast regularly. In conclusion, more than one in ten people did not sleep well and suffered from different sleep problems in Shaanxi, China. Sleep quality was associated with sex, marital status, educational level, family monthly income, heart disease, musculoskeletal diseases, degree of concerning about their own health, self-reported health status, drinking alcohol, having breakfast, taking hypnotics and daily screen time.

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Sleep Status and the Associated Factors: A Large Cross-Sectional Study in Shaanxi Province, China

Wang

et al. 2021

IJERPH

“…A recent test of the CCRM found that average variability in the midpoint between sleep onset and wake time across 7 days did not differ during the school year and summer, and it was not related to change in BMI during the school year or the summer [3]. This study added to a body of literature that has failed to find associations between day‐to‐day variability in children's sleep and weight status [18–20], whereas other studies have found day‐to‐day variability in sleep duration [21–25] and timing [26–30] to be associated with adiposity. However, by assessing variability using an output of the clock (sleep patterns), we may be overlooking important influences affecting circadian entrainment, for example, the strength of the entraining signal over the course of the day, as well as effects of the temporal distribution of different light/dark patterns that accumulate over successive days.…”

Section: Introductionmentioning

confidence: 91%

Validation of the Entrainment Signal Regularity Index and associations with children's changes in BMI

Moreno

Hannay

Goetz

et al. 2023

Obesity

Objective: This study examined the validity of a novel metric of circadian health, the Entrainment Signal Regularity Index (ESRI), and its relationship to changes in BMI during the school year and summer. Methods: In a longitudinal observational data set, this study examined the relationship between ESRI score and children's (n = 119, 5-to 8-year-olds) sleep and physical activity levels during the school year and summer, differences in ESRI score during the school year and summer, and the association of ESRI score during the school year and summer with changes in BMI across those time periods. Results: The ESRI score was higher during the school year (0.70 AE 0.10) compared with summer (0.63 AE 0.11); t(111) = 5.484, p < 0.001. Whereas the ESRI score at the beginning of the school year did not significantly predict BMI change during the school year (β = 0.05 AE 0.09 SE, p = 0.57), having a higher ESRI score during summer predicted smaller increases in BMI during summer (β = À0.22 AE 0.10 SE, p = 0.03).Conclusions: Overall, children demonstrated higher entrainment regularity during the school year compared with the summer. During summer, having a higher entrainment signal was associated with smaller changes in summertime BMI. This effect was independent of the effects of children's sleep midpoint, sleep regularity, and physical activity on children's BMI.

“…Later bedtime and earlier waking up time were shown to be associated with higher body mass index (BMI) and risk of overweight/obesity [5][6][7], and their links with greater severity of overweight were also found in individuals with overweight and obesity [8,9]. However, these associations attenuated or did not reach statistical significance after controlling for confounding factors in other samples or studies [10][11][12][13], and even reversed in some [14,15]. The relationship between sleep timing and weight status has been explored in adults, early adolescents, preschool children, and infants, showing varied results across different age groups [6,14,16], but studies in adolescents aged between 14 to 19 years remain scarce, despite evidence that sleep timing is highly age-dependent [17].…”

Section: Introductionmentioning

confidence: 99%

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

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.