Association between Sleep Timing and Weight Status among 14- to 19-Year-Old Adolescents in Wuhan, China.
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ABSTRACT:
SUBMITTER: Zhang X
PROVIDER: S-EPMC7460288 | biostudies-literature | 2020 Aug
REPOSITORIES: biostudies-literature
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Association between Sleep Timing and Weight Status among 14- to 19-Year-Old Adolescents in Wuhan, China.
Zhang Xinge X Chen Yanan Y Zhang Rui R Moore Justin B JB Ruan Haotian H Fu Jialin J Qin Guiyu G Yu Xinru X Hou Zeyu Z Cheng Qin Q Hu Xiaoyu X Zhang Siqi S Li Rui R
International journal of environmental research and public health 20200807 16
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 perfor ...[more]
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Project description:Background and objectiveShort night-time sleep duration is a possible factor contributing to childhood obesity. Our objective was to evaluate associations between sleep timing (including bedtime and waketime) and weight gain in 4- to 5-year-old children.MethodsWe used cross-sectional and longitudinal regression analyses of a large, nationally representative sample of children from the Early Childhood Longitudinal Study-Birth Cohort. Data regarding the timing and duration of weekday sleep were assessed via parent questionnaire. Short sleep duration, late bedtime and early waketime were defined as those greater than one standard deviation from the mean for the group.ResultsUsing linear regression adjusted for confounders, sleep duration at 4 and 5 years and bedtime at 5 years were linked to body mass index (BMI) z-score (P < 0.001). Odds of obesity were higher at 4 years for children sleeping <9.44 h nightly (adjusted odds ratio 1.35, confidence interval 1.02-1.78, P < 0.05) and at 5 years for children going to bed at 9:00 pm or later (1.49, 1.16-1.45, P < 0.01) or waking before 6:30 am (1.23, 1.01-15.51, P < 0.05). Assessed longitudinally, both short sleep duration (P < 0.05) and later bedtime at 4 years (P < 0.01) were associated with increases in BMI z-score between 4 and 5 years.ConclusionsChildren with shorter night-time sleep durations and later bedtimes were more likely to be obese and to gain weight over time. Pediatricians should encourage families to place children to bed at earlier times to promote longer sleep duration as a potential means of controlling weight gain.
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Project description:BackgroundThe aim of this study was to investigate bidirectional associations between (prolonged) sitting time and sleep duration in 12- to 14-year-old adolescents using a between-subjects and within-subjects analyses approach.MethodsObservational data were used from 108 adolescents (53% girls; mean age 12.9 (SD 0.7) years) from six schools in Flanders, Belgium. The Axivity AX3 triaxial accelerometer, worn on the thigh, was used to assess daily total sitting time and daily time spent in sedentary bouts of ≥30 min (as a proxy for prolonged sitting time). The Fitbit Charge 3 was used to assess nightly sleep duration. Both monitors were worn on schooldays only (ranging from 4 to 5 days). Linear mixed models were conducted to analyse the associations, resulting in four models. In each model, the independent variable (sleep duration, sitting time or prolonged sitting time) was included as within- as well as between-subjects factor.ResultsWithin-subjects analyses showed that when the adolescents sat more and when the adolescents spent more time sitting in bouts of ≥30 min than they usually did on a given day, they slept less during the following night (p = 0.01 and p = 0.05 (borderline significant), respectively). These associations were not significant in the other direction. Between-subjects analyses showed that adolescents who slept more on average, spent less time sitting (p = 0.006) and less time sitting in bouts of ≥30 min (p = 0.004) compared with adolescents who slept less on average. Conversely, adolescents who spent more time sitting on average and adolescents who spent more time sitting in bouts of ≥30 min on average, slept less (p = 0.02 and p = 0.003, respectively).ConclusionsBased on the between-subjects analyses, interventions focusing on reducing or regularly breaking up sitting time could improve adolescents' sleep duration on a population level, and vice versa. However, the within-subjects association was only found in one direction and suggests that to sleep sufficiently during the night, adolescents might limit and regularly break up their sitting time the preceding day.Trial registrationData have been used from our trial registered at ClinicalTrials.gov ( NCT04327414 ; registered on March 11, 2020).
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Project description:Background:The purpose of this study was to examine the relationships among weight stigma, eating behaviors, and stress, as well as to analyze the effect of stress in mediating the association between weight stigma and eating behaviors. Methods:The study involved 1818 adolescents between 14 to 19?years of age and was conducted in Wuhan, China in 2019. Weight stigma, eating behaviors (cognitive restraint, uncontrolled eating, and emotional eating), and stress were assessed by self-report questionnaires. Hierarchical linear regression analyses were used to examine the predictors of cognitive restraint, uncontrolled eating, and emotional eating; the serial mediation models analyses were conducted to analyze the effect of stress in mediating the association between weight stigma and eating behaviors for the whole non-overweight (normal and underweight) and overweight or obese participants, respectively. Results:Hierarchical linear regression analyses showed that experiences of weight stigma significantly predicted uncontrolled eating and emotional eating regardless of body mass index (BMI) (non-overweight adolescents: uncontrolled eating: ? [SE]?=?0.161 [0.017]; emotional eating: ? [SE]?=?0.199 [0.008], p?<?0.05; overweight or obese adolescents: uncontrolled eating: ? [SE]?=?0.286 [0.030]; emotional eating: ? [SE]?=?0.267 [0.014], p?<?0.05); experiences of weight stigma significantly predicted cognitive restraint among non-overweight adolescents (? [SE]?=?0.204 [0.013], p?<?0.05). Mediation analyses showed that stress mediated the associations between weight stigma and uncontrolled eating and emotional eating among non-overweight adolescents (uncontrolled eating: indirect effect coefficient?=?0.0352, 95% CI?=?0.0241, 0.0478; emotional eating: indirect effect coefficient?=?0.0133, 95% CI?=?0.0085, 0.0186). Conclusions:These findings suggest that non-overweight individuals can still experience weight stigma and its associated negative consequences; the relationship between weight stigma and eating behaviors is modulated by weight status; stress mediated the associations between weight stigma and uncontrolled and emotional eating among non-overweight adolescents.
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Project description:BackgroundShort sleep duration has been reported to be associated with obesity in children, but findings are not consistent. Since few studies have examined the relationship between more complex sleep characteristics and obesity, we examined the association between adiposity and self-reported sleep duration, bedtime, and sleep quality in 9-12-year-old Chinese children using multilevel mixed models.Methods5518 children aged 9-12 years were recruited from 29 randomly selected primary schools in Guangzhou, China in 2014. Standardized questionnaires were used to obtain data to estimate sleep duration on typical weekdays and weekends. Sleep quality data were collected using the Children's Sleep Habits Questionnaire (CSHQ). Trained researchers undertook measurements of weight, height, and waist circumference (WC) for all participating children. Body mass index (BMI) z-scores were derived using the World Health Organization (WHO) child growth reference, and children were classified as overweight or obese using +1 and +2 SD as cut-offs, respectively. Percentage body fat (BF%) was calculated using bioelectrical impedance.ResultsLonger sleep duration was inversely associated with BMI z-score (? = -0.16, p < 0.05), WC (? = -1.11, p < 0.05) and later bedtime was associated with higher BMI z-score (? = 0.03, p < 0.05), WC (? = 1.72, p < 0.001), and BF% (? = 0.15, p < 0.05) in multivariable multilevel mixed models, after adjustment for age, gender, physical activity, parental education level, and average monthly income. No association was seen between sleep quality and adiposity.ConclusionShorter sleep duration and later bedtime are associated with higher adiposity indices in early adolescents from southern China.
| S-EPMC5608611 | biostudies-literature
Project description:Background and objectiveThe high prevalence of obesity is a serious problem, and sleep is considered to be a factor for obesity. This study aimed to examine the relationship between sleep duration, sleep quality, and weight status among children and adolescents in China and to explore whether the relationship between sleep duration and weight status is independent of sleep quality. Sex and age differences were also explored.MethodsA cross-sectional research was conducted among 2019 children and adolescents (1029 boys and 990 girls) aged 8-16 years in Shanghai. An open-question was used to obtain data on sleep duration, which was categorized into the following four groups based on the age-specific National Sleep Foundation Sleep Duration Recommendations: 1) very short, 2) short, 3) recommended, and 4) long. The Pittsburgh Sleep Quality Index was used to assess sleep quality. Weight and height were measured for all participants. The variable weight status was estimated with the Chinese children and adolescent age- and sex-specific body mass index (BMI) and was categorized into overweight/obesity and normal weight.ResultsShort sleep duration (7-8 and 6-7 h for 6-13 and 14-16 years old, respectively) significantly increased odds of overweight/obesity (OR = 1.32, 95% CI: 1.06-1.64) compared with that of the recommended sleep duration (9-11 and 8-10 h for 6-13 and 14-16 years old, respectively). The relationship between the two variables existed independent of sleep quality. No significant relationship was found between sleep quality and overweight/obesity of children and adolescents. Sleep quality (OR = 1.07, 95% CI: 1.01-1.14) and short sleep duration (OR = 1.51, 95% CI: 1.06-2.13) increased the risk for overweight/obesity among girls, whereas no significant relationships between sleep duration, sleep quality, and overweight/obesity were found among boys. Short sleep duration increased the risk of overweight/obesity in children aged 8-13 years (OR = 1.34, 95% CI: 1.05-1.71), independent of sleep quality, but no significant relationships between these two variables existed for adolescents aged 14-16 years.ConclusionsOverall, short sleep duration increased the risks of overweight/obesity in children and adolescents in China, independent of sleep quality. This relationship is significant for girls and children aged 8-13 years instead of boys and adolescents aged 14-16 years. Interventions to extend the sleep duration of children and adolescents, especially girls and children aged 8-13 years in China, are necessary to improve their weight status.
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Project description:ObjectiveThe relationship between Helicobacter pylori and the intestinal microbiota has not yet been clearly demonstrated in children and adolescents. The present study aimed at evaluating how H. pylori infection could affect the intestinal microbiota in adolescents using genetic analysis.DesignCross-sectional study.Setting and participantsWe included subjects from a longitudinal project involving H. pylori screening and treatment of junior high school third-grade students (aged 14 or 15 years) in Saga Prefecture. The study included a control group (n=79) and an H. pylori group (n=80) tested negative and positive for the anti-H. pylori antibody in the urine and H. pylori antigen in stool specimens, respectively.InterventionsThe intestinal microbiota was evaluated in stool specimens using 16S rRNA gene/DNA/amplicon sequencing with next-generation sequencing.Primary and secondary outcome measuresWe assessed alpha and beta diversity, just as well as relative abundances within the bacterial composition at the genus level in both groups.ResultsAs shown by the alpha diversity of the 16S rRNA gene/DNA/amplicon sequence data, the control group exhibited lower microbial species richness with lower alpha diversity compared with the H. pylori group (p<0.001). The beta diversity of the intestinal microbiota profile also differed between the two groups (p<0.01). The relative abundance of the Prevotella genus was higher in the H. pylori group (p<0.01) concomitant with a gain in body mass index (BMI) in the H. pylori group (p<0.01) compared with the control group.ConclusionH. pylori infection significantly affected the intestinal microbiota in Japanese adolescents. In addition, the prevalence of the Prevotella genus is concomitantly increased along with the BMI in H. pylori-infected students.Trial registration numberUMIN000028721.
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Project description:BACKGROUND:Overweight and obesity are public concerns with risk of adverse health outcomes. Health-related quality of life (HRQoL) is lower in adolescents than children in general. An increase in body mass index (BMI) is associated with a decrease in HRQoL. The purpose of this study was to measure and explore the HRQoL among adolescents with overweight or obesity who had participated in an intervention study, Young & Active, with the aim of increasing physical activity (PA), reducing BMI and promoting HRQoL. METHODS:Mixed methods, with a convergent design, were used to investigate how different methodological approaches could expand our understanding of the adolescents' HRQoL. Quantitative post-intervention data on HRQoL were collected among the 84 intervention participants, aged 13-14 years, using the KIDSCREEN 52 questionnaire. The data were compared with a Norwegian reference population of 244 individuals, and analysed using a non-parametric Mann-Whitney test. Qualitative semi-structured interviews were conducted with 21 adolescents from the intervention. A directed approach to content analysis was adopted, using the ten sub-scales from KIDSCREEN 52. RESULTS:HRQoL in the intervention sample was significantly reduced on the sub-scale of physical well-being compared to the reference population. The reference population scored significantly lower than the intervention sample on the sub-scale of parent relation and home life. No significant differences were found on the other sub-scales. The qualitative data supported the quantitative findings on the sub-scale of physical well-being, but showed that perceptions of fitness, energy level or health could vary. Regarding parent relations, the interviewees extended this to include relationships to other family members as equally important. Most of the interviewees expressed a negative view of their bodies, but not their clothing or accessories. This may explain why no statistically significant differences were found on these aspects in the results from the KIDSCREEN questionnaire. CONCLUSION:The use of the KIDSCREEN 52 instrument gave important indications about the adolescents' HRQoL and need for additional follow up. The qualitative data provided an in-depth understanding that nuanced the findings and widened our knowledge of the adolescents HRQoL. Combining methods enabled a comprehensive approach to research on HRQoL.
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Project description:Night-time screen-viewing (SV) contributes to inadequate sleep and poor diet, and subsequently excess weight. Adolescents may use many devices at night, which can provide additional night-time SV. Purpose: To identify night-time SV patterns, and describe differences in diet, sleep, weight status, and adiposity between patterns in a cross-sectional and longitudinal manner. Methods: Adolescents (10-16 y) reported devices they viewed at night and completed food recalls. Accelerometry, anthropometrics, and imaging were conducted to measure sleep, weight status, and adiposity, respectively. Latent class analysis was performed to identify night-time SV clusters. Linear regression analysis was used to examine associations between clusters with diet, sleep, weight status, and adiposity. Results: Amongst 273 adolescents (12.5 ± 1.9 y, 54% female, 59% White), four clusters were identified: no SV (36%), primarily cellphone (32%), TV and portable devices (TV+PDs, 17%), and multiple PDs (17%). Most differences in sleep and adiposity were attenuated after adjustment for covariates. The TV+PDs cluster had a higher waist circumference than the no SV cluster in cross-sectional analysis. In longitudinal analysis, the primarily cellphone cluster had less change in waist circumference compared to the no SV cluster. Conclusions: Directing efforts towards reducing night-time SV, especially TV and PDs, may promote healthy development.
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