Sleep Duration and Weight-Related Behaviors among Adolescents

Influence of health-related behaviors patterns on obesity among primary and secondary school students: A latent profile analysis

OBJECTIVE

To analyze the co-existing patterns of health-related behaviors among children and adolescents at different education stages and the association with obesity.

DESIGN

Cross-sectional study.

SAMPLE

A total of 5651 primary and secondary school students were drawn from the National Student Physical Health Survey in 2014 with an average age of 13.53 ± 2.87 years.

MEASUREMENTS

Physical measurements and questionnaires were completed, which concluded height, weight, and health-related behaviors (sleep, physical activity, dietary, and screen behavior et al.). Latent profile analysis (LPA) was conducted using Mplus 8.3 and SPSS 26.0 was used for other statistical analysis.

RESULTS

Three latent classes of health-related behaviors were fitted for each of the education stages. After adjustment for age, gender, and region, the high-screen behavior group were 2.217 (95%CI = 1.030-4.772, p = .042) times more likely to be obesity than the health-behavior group in primary school, and the poor-diet group and poor-diet and high-screen behavior group were 2.101 (95%CI = 1.396-3.396, p < .001) and 1.788 (95%CI = 1.003-3.190, p = .049) times more likely to be overweight than the health-behavior group in junior middle school respectively.

CONCLUSION

Obesity is mainly influenced by screen behavior and dietary patterns among children and adolescents. Health-related behavior patterns should be accurately identified and comprehensive joint interventions should be carried out to prevent obesity.

Prevalence and associated factors of poor sleep quality among industrial workers in Addis Ababa, Ethiopia: findings from a cross-sectional study

OBJECTIVE

This study aimed to investigate the prevalence and associated factors of poor sleep quality among Bole Lemi Industrial Park workers in Addis Ababa, the capital of Ethiopia.

DESIGN

An institution-based cross-sectional study was conducted from July to August 2022. The data were collected using a validated and standardised Pittsburgh Sleep Quality Index Questionnaire. The collected data were entered into EpiData V.4.6 and analysed using Stata V.14. A multivariable binary logistic regression analysis was conducted to identify factors associated with poor sleep quality. The association was determined using an adjusted OR (AOR) with a 95% CI at a p value of <0.05.

SETTING

The study was conducted in Bole Lemi Industrial Park in Addis Ababa.

PARTICIPANTS

A total of 370 workers participated in this study.

OUTCOME MEASURES

The primary outcome of the study was the prevalence of poor sleep quality.

RESULTS

The total response rate was 87.7%. The majority (260, 70.3%) of the participants were female. The mean (±SD) age of the participants was 30.5 (±10.6) years. The prevalence of poor sleep quality during the last months was found to be 75.4% (n=279) (95% CI: 70.7% to 79.7%). Undiversified dietary intake (AOR: 1.63; 95% CI (1.09 to 2.78)), caffeine consumption more than 250 mg per day (AOR: 2.57; 95% CI (1.12 to 6.05)) and night shift work (AOR: 2.36; 95% CI (1.27 to 4.41)) were risk factors for poor sleep quality among sampled workers.

CONCLUSION

This study detected that poor sleep quality is highly prevalent among garment and textile industry workers, indicating that it is a significant public health issue that requires immediate attention. Therefore, modifications of the work environment involving night shift work and the improvement of workers' personal lifestyles involving dietary diversification and caffeine consumption are needed to minimise the burden of poor sleep quality among workers.

Three-Year School-Based Multicomponent Intervention May Change Fruit and Vegetable Preferences in Primary School Children-A Quasi-Randomized Trial

Preference could be the trigger for fruit and vegetable (FV) consumption in children and could be modified by appropriate intervention to increase the acceptance of FVs. The primary objective of this study was to investigate the effects of the three-year school-based multicomponent intervention "Nutri-školica" on the FV preferences of primary school children. It also aimed to explore whether a positive change in FV preferences could lead to an increase in actual FV consumption. The study was conducted in 14 primary schools from the city of Zagreb on 193 children (52.3% boys; age, 7.7 ± 0.4 years; n = 85 in the control group and n = 108 in the intervention group) who completed a preference questionnaire before and after the intervention with a 5-point hedonic smiley-face scale, where 5 means "I like it a lot." The per-protocol approach was used for data analysis (28.3% of children from the study sample). After the intervention, children in the intervention group (before: 3.1 ± 0.8; after: 3.5 ± 0.8) increased their FV preferences significantly more than children in the control group (before: 3.2 ± 0.8; after: 3.3 ± 0.7). Children's FV preferences changed most toward the varieties for which they had the least preferences at the beginning of the study. Participation in the intervention had a stronger effect on changing FV intake than change in FV preferences among primary school children. In summary, the present study highlighted that a targeted intervention can increase children's FV preferences, but that participation in the intervention is substantial for increasing FV intake.

Impact of delaying high school start times on weight and related behaviors - the START study

In the US, few adolescents get adequate school night sleep, largely due to early school start times. In the START study we aimed to test the following hypothesis: That following the implementation of later high school start times students have lesser longitudinal increases in body mass index (BMI) and shift to more healthful weight-related behaviors relative to students attending schools that retain early start times. The study enrolled a cohort of students (n = 2426) in five high schools in the Twin Cities, MN metro. Heights and weights were measured objectively, and surveys were administered annually from 9th through 11th grades (2016-2018). All study schools started early (either 7:30 am or 7:45 am) at baseline (2016). At follow-up 1 (2017) and continuing through follow-up 2 (2018), two schools delayed their start times by 50-65 min, while three comparison schools started at 7:30 am throughout the observation period. Using a difference-in-differences natural experiment design, we estimated differences in changes in BMI and weight-related behaviors over time between policy change and comparison schools. Students' BMIs increased in parallel in both policy change and comparison schools over time. However relative to changes in comparison schools after the start time shift, students in policy change schools had a modestly more healthful profile of weight-related behaviors - for instance they had a relatively greater probability of eating breakfast, having supper with their family, getting more activity, eating fast food less frequently, and eating vegetables daily. Later start times could be a durable, population-wide strategy that promotes healthful weight behaviors.

Association of insufficient sleep and skipping breakfast with overweight/obesity in children and adolescents: Findings from a cross-sectional provincial surveillance project in Jiangsu

BACKGROUND

Insufficient sleep and skipping breakfast are very common phenomena in China and have been proposed as possible causes of overweight/obesity, but the results of former studies remain inconsistent.

OBJECTIVE

To investigate the individual and joint association of insufficient sleep and skipping breakfast with overweight/obesity among children and adolescents in Jiangsu Province, China.

METHODS

Participants were 36 849 students aged 8-17 years from the 2019-2020 project "Surveillance for common disease and health risk factors among students." Self-reported insufficient sleep and skipping breakfast were ascertained by self-reported sleep duration and breakfast habit. Overweight/obesity was assessed according to the gender- and age-specific body mass index. We used logistic regression models to explore the association of sleep and breakfast with overweight/obesity, and stratification analyses to test age or gender differences.

RESULTS

The overall prevalence of overweight/obesity was 33.2%. Insufficient sleep (OR = 1.09, 95% CI = 1.03-1.16) or skipping breakfast (OR = 1.14, 95% CI = 1.07-1.21) was associated with overweight/obesity. Compared to participants with 'sufficient sleep and breakfast', ORs were 1.25 (95% CI = 1.15-1.35) for those with 'both insufficient sleep and skipping breakfast'. The separate and joint association of sleep and breakfast with overweight/obesity remained generally consistent across different age and gender subgroups, except that the 8-12-year-olds group and female students appear more susceptible.

CONCLUSIONS

Insufficient sleep and skipping breakfast were jointly associated with overweight/obesity in children and adolescents. Appropriate attention should be paid to these modifiable behaviours including sleep and breakfast in the context of the rapidly growing obesity epidemic among children and adolescents.

Association between short sleep duration and intake of sugar and sugar-sweetened beverages: A systematic review and meta-analysis of observational studies

BACKGROUND

Findings of previous investigations that evaluated the relationship between sleep duration and sugar or sugar-sweetened beverages (SSBs) intake have been inconsistent. We aimed to summarize extant research that assessed the relation between short sleep duration and sugar and SSB intake.

METHODS

A comprehensive search of PubMed, ISI Web of Sciences, Scopus, Science Direct, Embase, and Google Scholar was conducted. All observational studies that reported sleep duration as the exposure and intake of sugar or sugary drinks as the outcome were included. The quality of included studies was evaluated using the Newcastle-Ottawa Scale. The body of evidence was assessed using the GRADE approach. Random and fixed effects models were used to estimate pooled OR and 95% confidence intervals.

RESULTS

Twenty-two studies in children and twelve in adults were included in the systematic review. Only 10 studies in children and 3 investigations in adults provided odds ratios (95% confidence intervals) for this association and could be included in the meta-analysis. All studies had a cross-sectional design and found a negative association between sleep duration and sugar in children, but not in adults. SSB intake was lower in those with sufficient sleep in all populations. Compared with those with sufficient sleep, children with short sleep duration had 16% (significant) higher odds of consuming sugar (OR: 1.16; 95% CI: 1.10, 1.21), 21% higher odds of soda intake (OR: 1.21; 95% CI: 1.16, 1.26), and 92% higher odds of consuming energy drink intake (OR: 1.92; 95% CI: 1.66, 2.22). However, sleep duration was not significantly associated with soft drink intake in children (OR: 1.17; 95% CI: 0.93, 1.48). In adults, the odds of drinking soda in those with short sleep duration was 1.2 times more than in those with sufficient sleep (OR: 1.20; 95% CI: 1.12, 1.28). Also, low vs. optimal sleep duration in adults was associated with a 58% increased intake of energy drinks (OR: 1.58; 95% CI: 1.31, 1.90). Of note, these findings in the adult population resulted from only 2 included investigations, due to the limited number of studies.

CONCLUSION

The evidence reviewed supports a significant association between shorter sleep duration and higher SSBs intake in both children and adults, while such association with higher total sugar intake was significant in children but not in adults. Further research with more accurate measurements, sex-specific, and prospective designs should be carried out to clarify the causality and underlying mechanisms.

Sleep duration and eating behaviours among adolescents: a scoping review

INTRODUCTION

In the past decade, investigations of the relationship between sleep duration and eating behaviours have been emerging; however, a formal synthesis of the literature focussed on adolescent populations has not yet been conducted. We conducted a scoping review of the literature examining the relationship between sleep duration and eating behaviours in adolescents. Gaps in the research and directions for future research were identified based on the findings.

METHODS

A systematic search was employed on four research databases: PubMed, PsycInfo, CINAHL and Scopus; relevant grey literature was also reviewed. Studies that reported on the relationship between sleep duration and eating behaviours among high school-aged adolescents were included in the review. Data were extracted, charted and synthesized into a narrative. Consistent with the purpose of a scoping review, the methodological quality of the studies was not appraised. Stakeholders were consulted to validate the findings and provide insight into the interpretation and identification of pressing gaps in the research that remain to be addressed.

RESULTS

In total, 61 studies published between 2006 and 2021 met the criteria for review. Existing research focussed heavily on examining sleep duration in relation to intake of food from certain food groups, beverages and processed foods, and relied on a population study design, cross-sectional analyses and self-report measures.

CONCLUSION

Future research is needed to understand the link between sleep duration and eating-related cognition, eating contexts and disordered eating behaviours in order to better understand how ensuring sufficient sleep among adolescents can be leveraged to support healthier eating practices and reduce diet-related risks.

Worse sleep health predicts less frequent breakfast consumption among adolescents in a micro-longitudinal analysis

BACKGROUND

Poor self-reported sleep health has been linked to not consuming breakfast in adolescents, but it is unknown whether poor sleep measured objectively predicts next-day breakfast consumption within adolescents. We investigated within- and between-person associations of objectively measured sleep dimensions and subjective sleep quality with adolescent breakfast consumption.

METHODS

Data were collected from a micro-longitudinal substudy of the Year 15 wave of the Fragile Families and Child Wellbeing Study (n = 590). Adolescents wore an actigraphy device and completed daily diaries for ~ 1 week (M ± SD = 5.6 ± 1.4 nights per adolescent, range: 3-9), where they rated their sleep quality and reported whether they had eaten breakfast that day, with no specific definition of breakfast provided (M ± SD = 5.5 ± 1.4 days per adolescent, range: 3-9). Separate mixed models assessed whether actigraphy-measured sleep duration (linear and quadratic, sleep duration x sleep duration), timing, maintenance efficiency, and subjective quality predicted odds of breakfast consumption both within and between adolescents. Variability of sleep duration and timing (standard deviation per person), sleep regularity index (SRI), and social jetlag were tested as additional between-person predictors. Analyses with predictors other than sleep duration were adjusted for sleep duration.

RESULTS

Following nights when adolescents had shorter or longer sleep duration (p = .005; curvilinear association), later sleep onset, or later sleep midpoint (both p = .025) than their own usual, they had lower odds of consuming breakfast the next day (within-person associations). Adolescents who on average had later sleep onset (p = .013) or midpoint (p = .013) or who reported lower sleep quality (p = .011) had lower average odds of consuming breakfast (between-person associations). Adolescents with greater variability of sleep duration (p = .005), midpoint (p = .004), or offset (p < .001) had lower average odds of consuming breakfast (between-person associations). Sleep maintenance efficiency (within or between adolescents), SRI, and social jetlag were not associated with breakfast consumption (all p > .10).

CONCLUSIONS

Multiple dimensions of sleep health are associated with breakfast consumption, both within and between adolescents. Poor sleep and dietary behaviors in adolescence may negatively impact future metabolic health.

[Sleep duration, overweight and consumption of ultra-processed foods among adolescents]

The scope of this article is to analyze the relationship between insufficient sleep duration, overweight/obesity and the consumption of ultra-processed foods among adolescents aged 10 to 14 years. This is a cross-sectional study, with an evaluation of 1,384 adolescents from public schools in João Pessoa-PB, participating in the Longitudinal Study on Sedentary Behavior, Physical Activity, Diet and Adolescent Health (LONCAAFS). Sociodemographic variables, sleep duration, class shift, anthropometric nutritional status, sedentary behavior and food consumption were measured. Linear and logistic regression of the following were performed using Stata 13.0 Software: the prevalence of short sleep duration of 29.5% (<9h/night); a significant association between short sleep duration and excess weight only for adolescents <12 years old. With respect to the relationship between sleep duration and the consumption of ultra-processed foods, the longer the sleep duration, the lower the consumption of snacks by adolescents under 12 years old, with a positive association for ≥12 years old only with adjustment by the physical activity variable. There was no association with the "sugary drinks" and "cookies" groups for any of the age groups analyzed.

Association of Delaying School Start Time With Sleep-Wake Behaviors Among Adolescents

PURPOSE

Few adolescents spend enough time asleep on school nights. This problem could be addressed by delaying high school start times, but does this translate to reduced prevalence of sleep-wake problems like awakening too early or feeling sleepy during the day?

METHODS

The START study (n = 2,414) followed a cohort of students from five Minnesota high schools to evaluate impacts of school start time delays. Participants were enrolled in ninth grade (Baseline) when all schools started early (7:30 or 7:45 a.m.). At Follow-Up 1 (10th grade) and Follow-Up 2 (11th grade), two schools had delayed their start times by 50 and 65 minutes while three comparison schools started at 7:30 a.m. Six sleep-wake behaviors were assessed at all three time points via survey. Generalized estimating equation models were used to investigate changes in sleep-wake problems between policy change and comparison schools.

RESULTS

The prevalence of sleep-wake problems at Baseline ranged from 11% for being late to class due to oversleeping to 48% for needing to be told to wake multiple times in the morning. Compared to students from comparison schools, students at policy change schools reported smaller increases in the prevalence of feeling sleepy daily and oversleeping and being late to class between 9th and 11th grade. After implementation of the delayed start, awakening too early was more common among students at policy change schools compared to the comparison schools.

CONCLUSIONS

This longitudinal study provides evidence that delaying high school start times reduces daytime sleepiness and school tardiness.

Weekend night vs. school night sleep patterns, weight status, and weight-related behaviors among adolescents

OBJECTIVE

In this study, we examine associations between objectively measured weekend night vs. school night sleep patterns, weight status, and weight-related behaviors among adolescents.

DESIGN

Cross-sectional study.

SETTING

Five Minnesota high schools that started early (7:30 or 7:45 AM) in Spring 2016.

PARTICIPANTS

Ninth grade students, ages 14.5-16 years (n = 284).

MEASUREMENTS

Students completed surveys, had body measurements taken, and wore sleep (wrist) actigraphs for 1 week (n = 284). We examined weekend night-school night differences in sleep duration and sleep timing. We then assessed whether these factors were related to weight status and weight-related behaviors (eating behaviors, food consumption, physical activity, beverage consumption) using generalized linear mixed models.

RESULTS

On average, students slept 1.5 hours (95% confidence interval 1.3-1.7) more and had a sleep midpoint 1.9 hours (1.8-2.1) later on weekend nights compared to school nights. Female students had larger increases in sleep duration on weekend nights than males but similar timing differences. Sleep duration differences were uncorrelated with sleep timing differences (r = 0.01). Neither duration nor timing differences were associated with overweight, obesity, or any of the eating behaviors we examined. However, sleeping longer on weekend nights than on school nights was associated with lower probability of being active 6-7 days per week (p = .02).

CONCLUSIONS

Adolescents have substantial sleep duration and sleep timing differences on weekend nights vs. school nights. While these differences may not be associated with weight status or weight-related behaviors, they reflect the reality that most adolescents have schedules that restrict their sleep.

Sleep disorders related to nutrition and digestive diseases: a neglected clinical condition

Sleep disturbances often result from inappropriate lifestyles, incorrect dietary habits, and/or digestive diseases. This clinical condition, however, has not been sufficiently explored in this area. Several studies have linked the circadian timing system to the physiology of metabolism control mechanisms, energy balance regulation, and nutrition. Sleep disturbances supposedly trigger digestive disorders or conversely represent specific clinical manifestation of gastrointestinal (GI) diseases. Poor sleep may worsen the symptoms of GI disorders, affecting the quality of life. Conversely, short sleep may influence dietary choices, as well as meal timing, and the circadian system drives temporal changes in metabolic patterns. Emerging evidence suggests that patients with inappropriate dietary habits and chronic digestive disorders often sleep less and show lower sleep efficiency, compared with healthy individuals. Sleep disturbances may thus represent a primary symptom of digestive diseases. Further controlled trials are needed to fully understand the relationship between sleep disturbances, dietary habits, and GI disorders. It may be also anticipated that the evaluation of sleep quality may prove useful to drive positive interventions and improve the quality of life in a proportion of patients. This review summarizes data linking sleep disorders with diet and a series of disease including gastro-esophageal reflux disease, peptic disease, functional gastrointestinal disorders, inflammatory bowel diseases, gut microbiota alterations, liver and pancreatic diseases, and obesity. The evidence supporting the complex interplay between sleep dysfunction, nutrition, and digestive diseases is discussed.