Sleep duration and risk of obesity among a sample of Victorian school children

Impact of sociodemographic factors, sleep, physical activity, and sedentary lifestyle on central obesity in schoolchildren aged 6-12 years in Marrakech, Morocco

Background

Central obesity is a growing public health concern globally, and the recognition of its specific impact on Moroccan demographics remains scarce. This study examined the associations of body mass index (BMI) and central obesity status (WtHR) with sociodemographic characteristics and lifestyle habits in a sample of school-aged children from Marrakech, Morocco.

Methods

The study sample consisted of 1161 children (9.43 ± 1.86 years old, 47 % boys) who attended nine public primary schools. Trained nurses conducted anthropometric measurements to determine the children's BMI and waist-to-height ratio, with a value of 0.5 or greater indicating central obesity. The study also collected data on children's lifestyle habits through a self-report questionnaire.

Results

Nine percent of the children were classified as centrally obese. The children's age, sex, place of residence, family structure, phone ownership, mother's literacy, and being a single child were significantly associated with BMI (p < 0.05). However, only being a single child and belonging to a single-parent family were significantly associated with central obesity (p < 0.05). Children with central obesity, compared to their noncentrally obese counterparts, reported poorer sleep duration, more sedentary habits, and less physical activity, but no significant associations were found (p > 0.05).

Conclusion

High rates of central obesity among schoolchildren in Marrakech, Morocco, require targeted interventions considering various factors, such as sociodemographic background, family dynamics, duration of sleep, and sedentary behavior. Addressing this issue is crucial for better health outcomes for Moroccan children.

Long-term artificial/natural daytime light affects mood, melatonin, corticosterone, and gut microbiota in rats

The desynchronization of circadian rhythms affected by light may induce physiological and psychological disequilibrium. We aimed to elucidate changes of growth, depression-anxiety like behaviors, melatonin and corticosterone (CORT) secretion, and gut microbiota in rats influenced by long-term light inputs. Thirty male Sprague-Dawley rats were exposed to a 16/8 h light/dark regime for 8 weeks. The light period was set to 13 h of daylight with artificial light (AL group, n = 10), or with natural light (NL group, n = 10), or with mixed artificial-natural light (ANL group, n = 10), and 3 h of artificial night light after sunset. The obtained findings indicated that the highest weight gain and food efficiency were observed in the AL group and the lowest in NL group. In the behavioral tests, the NL and ANL groups showed lower anxiety level than AL group, and ANL groups showed lower depression level than AL group. The NL and ANL groups had delayed acrophases and maintained higher concentrations of melatonin compared to AL group. The circadian rhythm of CORT was only found in ANL group. At the phylum level, the mixed light contributed to a lower abundance of Bacteroidetes. The genus level results recommend a synergistic effect of artificial light and natural light on Lactobacillus abundance and an antagonistic effect on the Lachnospiraceae_NK4A136_group abundance. The study indicated that the mixture of artificial and natural light as well as the alignment of the proportions had beneficial influences on depression-anxiety-like levels, melatonin and corticosterone secretion, and the composition of the gut microbiota. KEY POINTS: • The mixed light can reduce the depression-anxiety level • The mixed light can maintain the secretion rhythm of melatonin and CORT • The mixed light can increase Lactobacillus and decrease Lachnospiraceae_NK4A136_group.

Childhood diabetes and sleep

Sleep modulates glucose metabolism, both in healthy states and in disease. Alterations in sleep duration (insufficient and excessive) and obstructive sleep apnea may have reciprocal ties with obesity, insulin resistance and Type 2 diabetes, as demonstrated by emerging evidence in children and adolescents. Type 1 diabetes is also associated with sleep disturbances due to the influence of wide glycemic fluctuations upon sleep architecture, the need to treat nocturnal hypoglycemia, and the need for glucose monitoring and insulin delivery technologies. In this article, we provide an extensive and critical review on published pediatric literature regarding these topics, reviewing both epidemiologic and qualitative data, and provide an overview of the pathophysiology linking sleep with disorders of glucose homeostasis.

The Sleep-Obesity Nexus: Assessment of Multiple Sleep Dimensions and Weight Status Among Victorian Primary School Children

PURPOSE

To examine the association between sleep and weight status across multiple dimensions of sleep (duration, efficiency, quality and timing) and assess the cumulative influence of these dimensions on the overall sleep-obesity association.

PARTICIPANTS AND METHODS

Cross-sectional data from 2253 students aged 8.8 to 13.5 years participating in two monitoring studies across regional Victoria was analyzed. Students were invited to have measures of height and weight taken and to complete a self-report electronic questionnaire on demographic characteristics and health behaviors. Logistic regression models were used to assess association between sleep dimensions and BMI z-scores.

RESULTS

Beyond sleep duration, poor perceived sleep quality, delayed sleep initiation, later bed times and sleep-wake timing, all significantly increased the odds of overweight/obesity (OR 1.47, 95% CI: 1.07-2.01; OR 1.25, 95% CI: 1.02-1.55; and OR 1.70. 95% CI: 1.28-2.28, respectively). Additionally, a cumulative effect of having multiple poorly scored sleep dimensions was found, where four or more poorly scored sleep dimensions more than doubled the odds of overweight/obesity among children (OR 2.25, 95% CI: 1.41-3.58).

CONCLUSION

This study highlights the importance of measuring and considering multiple dimensions of sleep, along with the individual and additive influence of the sleep dimension on the sleep-obesity nexus.

Relationship between Sleep Quality and the Percentage of Body Fat in Children (Ages 9–12 Years) in the Public Elementary School of IKIP I Makassar City

This study aimed to determine the relationship of sleep quality with the percentage of body fat in children (ages 9-12 years) in the Elementary School Complex of IKIP I Makassar. The study used the Analytical Survey design with a cross-sectional approach. The researcher will compare the causes and consequences variables simultaneously and explain the relationship between the research variables through hypothesis testing. This study uses quantitative methods, namely through assessing sleep quality and body fat percentage using a questionnaire. The data was collected through in-depth interviews and observations of children. Sampling uses purposive sampling and data analysis using the Chi-Square test.  The results of the study showed that there was no significant relationship between sleep quality and body fat percentage. However, after being tested based on the components of sleep quality, it was seen that good sleep quality and poor sleep quality in component 3 (sleep duration). Moreover, component 4 (daily sleep efficiency) had a significant relationship between sleep duration and daily sleep efficiency with body fat percentage. Recommendations from this research are needed on the relationship between sleep quality and student achievement index.

Modifiable Early Childhood Risk Factors for Obesity at Age Four Years

Background: Childhood obesity is associated with an increased risk of adult obesity and related chronic disease. Our aim was to identify modifiable exposures that are independently associated with obesity in the preschool age group. Methods: A prospective cohort study of 5734 children in New Zealand with anthropometric measurements was completed at age 4.5 years. The modifiable exposures of interest, measured at age 9 months and 2 years, were: food security during infancy; and, at age 2 years, screen time; sleep duration; and takeaway food and soft drink intake. The risk of obesity independently associated with each exposure was determined using Binomial and Poisson regression and described using adjusted risk ratios (RRs) and 95% confidence intervals (CIs), after controlling for confounding variables including gender, ethnicity, birth weight, and mother's age. The probability of obesity given cumulative exposures to the four risk factors and the population attributable fraction (PAF) were estimated. Results: Lower food security during infancy (<mean study sample score; RR = 1.32; 95% CI : 1.06-1.64) and, at age 2 years, more screen time (>1 hour/day; RR = 1.22; 95% CI : 1.01-1.48), shorter sleep duration (≤11.5 hours/day; RR = 1.30; 95% CI : 1.05-1.61), and weekly to daily consumption of takeaway/soft drink (RR = 1.25, 95% CI : 1.00-1.57) were independently associated with an increased risk of obesity at age 4.5 years. The cumulative PAF for childhood obesity was 42.9%, under an ideal scenario where all risk factors were eliminated. Conclusion: Exposure to modifiable factors by age 2 years is associated with obesity at age 4.5 years. Interventions to prevent childhood obesity need to be effective during infancy.

A Practical Screening Tool to Predict Early Childhood Obesity Risk: Examining a Birth Cohort

Children obese at the age of 5 years are at greater risk of lifelong obesity. Because certain risks of obesity can be identified in early infancy, a tool for obesity risk prediction in early life would be clinically useful. We investigated predictors of obesity risk in a novel, prospectively collected healthy birth cohort recruited for demographic risks to develop iron deficiency at 1 year, a cohort leveraged because risk factors for iron deficiency and obesity overlap. Obesity at the age of 5 years was defined as age- and sex-specific body mass index Z-score (zBMI) >2SD. For each child, obesity risk factors were summed. Of 10 total risk factors, the following 4 key risks were identified: maternal obesity, maternal diabetes, large for gestational age, or breastfeeding <6 months. Childhood obesity was predicted by either ≥3 total number of risks (P < .033), any key risk (P < .002), or summing key risks (P < .0001). In clinical practice, summing early life risk factors may be a useful strategy for preemptive counseling.

Associations between paediatric fatigue and eating behaviours

BACKGROUND

In adults, poor sleep quality is associated with increased obesogenic eating behaviours; less is known about this relationship in youth. The objectives of this study were to assess the strength of association between fatigue-related quality of life (QoL) and eating behaviours among youth and to describe the associations in participants with percent body fat (%BF) above and below the 90th percentile for sex and age.

METHODS

Caregiver-reported measures of fatigue (Pediatric QoL Multidimensional Fatigue Scale) and eating behaviours (Child Eating Behaviour Questionnaire) were obtained from participants aged 8-17 years. %BF was measured by iDXA and grouped by sex- and age-specific percentiles. Multiple linear regression adjusting for age, sex and race/ethnicity was used.

RESULTS

Of the 352 participants (49% male), 44.6% had %BF >90th percentile. General, sleep/rest and cognitive fatigue QoL was inversely associated with food approach behaviours: food responsiveness, enjoyment of food, emotional overeating and desire to drink. For participants with %BF >90th percentile, higher general fatigue QoL was associated with higher satiety responsiveness (0.13; 95% confidence interval [CI 0.03, 0.24]). For participants with %BF ≤90th percentile, higher general fatigue QoL was associated with less satiety responsiveness (-0.16; 95% CI [-0.31, -0.01]).

CONCLUSION

Less fatigue symptoms were associated with less behaviours associated with food approach among paediatric participants. For participants with %BF >90th percentile, less symptoms of general fatigues corresponded with more satiety. Though causation has yet to be established, youth with elevated %BF should be screened for fatigue symptoms and offered counselling on sleep hygiene or a sleep medicine referral to help mitigate weight gain.

Sleep and obesity among children: A systematic review of multiple sleep dimensions

The objectives were to systematically investigate the multiple dimensions of sleep and their association with overweight or obesity among primary school-aged children. CINHAL, PsycINFO, SPORTDiscus, Medline, Cochrane, Embase, and PubMed databases were searched for papers reporting on an association between children's sleep and weight status. Studies on clinical populations, published in languages other than English, without objectively measured weight status, or where weight status was reported outside the outlined age bracket (5-13 years) were excluded. A total of 34  248 citations were extracted from our systematic search protocol, of which 112 were included for detailed review. Compared with sleep duration, of which 86/103 articles found a significant inverse association between sleep duration and measured weight status, few studies examined other dimensions of sleep, such as quality, efficiency and bed/wake times, and relationship with weight status. Where studies existed, variation in defining and measurement of these dimensions restricted comparison and potentially influenced discrepancies across results. Overall, the findings of this review warrant the need for further research of the outlined dimensions of sleep. Future research would benefit from clarity on definitions across the different dimensions, along with the use of valid and reliable tools.

Dietary and Activity Factors Influence Poor Sleep and the Sleep-Obesity Nexus among Children

Background: Behavioral factors such as physical activity, sedentary behavior and diet have previously been found to be key modifiable determinants of childhood overweight and obesity, yet require further investigation to provide an understanding of their potential influence on sleep outcomes along with the sleep-obesity nexus. Methods: The study included 2253 students (ages 8.8-13.5) from two monitoring studies across regional Victoria. Students completed a self-report electronic questionnaire on demographic characteristics, health behaviors (including sleep, physical activity, screen time and diet) and well-being, and were invited to have anthropometric measurements (height and weight) taken. Regression models were used to assess the associations between sleep, behavioral factors and BMI z-scores. Results: Screen time (particularly in bed) and sugar-sweetened beverage (SSB) consumption were shown to increase the likelihood of having more than three sleep problems, while physical activity and other dietary factors were not. After controlling for these behaviors, significance remained for having two or more than three sleep problems and an increased odds of overweight/obesity. Conclusions: This study highlights how the usage of screen devices and SSB consumption behaviors might influence children's weight status via the sleep-obesity nexus.

Prevalence and correlates of overweight and obesity among school children in an urban district in Ghana

Background

There is limited data on risk factors associated with childhood overweight and obesity in Ghanaian school children. Therefore, the aim of this study was to assess the prevalence of overweight and obesity and associated risk factors in Ghanaian school children.

Methods

Data for this study were obtained from a cross-sectional survey of 543 children aged 8 and 11 years, attending private and public primary schools in the Adentan Municipality of Greater Accra Region, Ghana. Anthropometric, dietary, physical activity, sedentary behaviours, sleep duration and socio-demographic data were collected. BMI-for-age Z-scores were used to classify children as overweight/obesity. Multivariable logistic regressions were used to assess the determinants of overweight and obesity.

Results

The overall prevalence of overweight/obesity was 16.4%. Children living in middle (OR = 1.88; 95% CI = 1.01–3.50) and high socioeconomic status (SES) households (2.58; 1.41–4.70) had increased odds of being overweight or obese compared to those living in low SES household. Attending private school (2.44; 1.39–4.29) and watching television for more than 2 h each day (1.72; 1.05–2.82) were significantly associated with increased likelihood of overweight and obesity. Children who slept for more than 9 h a night (0.53; 0.31–0.88) and walked or cycled to school (0.51; 0.31–0.82) had lower odds of being overweight or obese.

Conclusions

A number of modifiable risk factors were associated with overweight and obesity in this study. Public health strategies to prevent childhood obesity should target reduction in television watching time, promoting active transport to and from school, and increasing sleep duration.

Sleep Duration and Obesity in Children and Adolescents

Increased rates of obesity internationally have drawn significant attention. In particular, researchers and practitioners are seeking new information about risk factors for obesity that could be areas for preventive interventions. Given that obesity rates in children and adolescents are increasing worldwide, particular attention to child and adolescent obesity is needed. A large, and growing, body of research indicates that inadequate sleep duration is linked to obesity. The current article reviews the extant literature concerning sleep duration and obesity in children and adolescents by reviewing current theories of obesity as well as available literature specifically evaluating the relationship of obesity and sleep in children and adolescents, including epidemiologic, experimental and intervention research. Overall, our literature review concludes that the relationship between shortened sleep and increased risk for obesity has research support internationally, including in the few Canadian articles available that are discussed in our review.

Sleep Duration, Snoring Prevalence, Obesity, and Behavioral Problems in a Large Cohort of Primary School Students in Japan

Study Objectives

Poor or short sleep and the presence of snoring indicative of sleep-disordered breathing (SDB) have been associated with behavioral problems in school-aged children. We examined the relationship between SDB, sleep duration, obesity risk, and behavioral characteristics in Japanese elementary school students using a large-scale survey.

Methods

We conducted a cross-sectional study of children enrolled in all 46 public primary schools in Matsuyama city, Japan. The children's parents or guardians completed a questionnaire that covered sleep habits, presence of SDB risk, and behavioral characteristics.

Results

In total, 24 296 responses were received (90% response rate). After excluding incomplete responses, we analyzed complete datasets for 17 769 children. Mean sleep duration decreased with age, as did the prevalence of pediatric SDB. We found an increased risk for the presence of SDB and short sleep among overweight/obese children. With SDB or short sleep, we observed significantly increased odds of restless behaviors, fidgety behaviors, and poor concentration in school.

Conclusions

Shorter sleep duration was associated with increased risk of obesity, and in turn, obesity increased SDB risk. Both short sleep duration and SDB risk were significantly associated with behavioral problems in school.

Relationships between sleep duration, physical activity and body mass index in young New Zealanders: An isotemporal substitution analysis

BACKGROUND

The evidence regarding the unique effect of sedentary behaviour on obesity among children is unclear. Moreover, the effect of substituting sedentary behaviour with physical activity of different intensities on the body composition of children has received limited empirical study.

OBJECTIVE

To examine the mathematical effects on Body Mass Index (BMI) of substituting sedentary behaviours with physical activities of different intensities on children and youth aged 5-14 years old in New Zealand.

METHODS

Secondary analysis of accelerometer data from the National Survey of Children and Young People's Physical Activity and Dietary Behaviours in New Zealand (2008/09) was conducted. A total of 1812 children and youth aged 5-24 years provided accelerometer-derived data on daily sedentary time (SB), light intensity physical activity (LPA) and moderate to vigorous physical activity (MVPA). Sleep time was assessed with a validated computerised use-of-time tool. BMI was assessed using anthropometric measurements. Multiple linear regression models were used to examine the independent associations of SB, Sleep time, LPA, and MVPA on BMI. The isotemporal substitution approach was used to ascertain the mathematical effect of substituting each of the other behaviours on BMI. Analyses were stratified by age groups.

RESULTS

SB showed a unique (inverse) association with BMI across all age groups (p<0.05) but 20-24 years (p>0.05). Similarly, MVPA was positively associated (p<0.001) across all age groups. Among age groups 5-9 years, 10-14 years and 15-19 years, the estimated impact of replacing 60 min/day of SB with the same amount of MVPA time resulted in decreased BMI for all age groups (p<0.001), ranging from -1.26 (5-9 years) to -1.43 units (15-19 years). Similar results were achieved when SB was replaced with LPA or sleeping time for children (5-19 years). In young people (age group 20-24), the impact of replacing 30 min/day of SB with MVPA resulted in an estimated -1 BMI units decrease (p<0.001).

CONCLUSION

MVPA and SB have a unique effect on BMI. Further, substituting SB with LPA or MVPA was associated with a favourable effect on BMI across all age groups; with MVPA having the strongest association.

Adiposity in childhood brain tumors: A report from the Canadian Study of Determinants of Endometabolic Health in Children (CanDECIDE Study)

Children with brain tumors (CBT) are at high risk of cardiovascular diseases and type 2 diabetes compared to the general population. Recently, adiposity has been reported to be more informative for cardiometabolic risk stratification than body mass index (BMI) in the general population. The goal of this study is to describe the adiposity phenotype in CBT, and to establish adiposity determinants. We recruited CBT (n = 56) and non-cancer controls (n = 106). Percent body fat (%FM), waist-to-hip ratio (WHR) and waist-to-height ratio (WHtR) were measured to determine total and central adiposity, respectively. Regression analyses were used to evaluate adiposity determinants. CBT had higher total and central adiposity compared to non-cancer controls despite having similar BMI measurements. Those with tumors at the supratentorial region had increased total and central adiposity, while those who received radiotherapy had increased total adiposity. In conclusion, CBT have increased total and central adiposity in the presence of similar BMI levels when compared to non-cancer controls. Adiposity, especially central adiposity, is a potential cardiometabolic risk factor present relatively early in life in CBT. Defining interventions to target adiposity may improve long-term outcomes by preventing cardiometabolic disorders in CBT.

Disturbances of sleep and circadian rhythms: novel risk factors for obesity

PURPOSE OF REVIEW

The purpose of this review is to summarize recent developments linking disturbances of sleep and circadian rhythms to an increased risk for obesity, and to review novel research on potential countermeasures.

RECENT FINDINGS

Effective treatments for obesity are limited, with long-term adherence to lifestyle changes proving difficult to maintain. Identifying new preventive strategies based on modifiable risk factors is therefore imperative in the fight against obesity. Disturbances of sleep and circadian rhythms have an adverse impact on food choices, hunger and appetite, and have lifelong deleterious metabolic consequences when they occur during childhood and early adulthood. The upregulation of the endocannabinoid system and abnormalities in the temporal distribution of caloric intake were recently implicated in the link between sleep loss and obesity risk. In addition, alterations in circadian variation in the composition and functionality of the gut microbiome have been identified as potential contributors to metabolic dysfunction during jet lag and shift work. Insufficient sleep and circadian misalignment are thus new modifiable risk factors for obesity. Emerging evidence suggests that novel countermeasures, such as manipulations of the timing of food intake, may be effective strategies in the prevention of obesity.

SUMMARY

Four important findings are briefly reviewed: disturbances of sleep and circadian rhythms in children and young adults are risk factors for the development of lifelong obesity; circadian misalignment, as occurs in shift work, has an adverse impact on energy balance and increases the risk of weight gain; the endocannabinoid system, an important regulator of hedonic feeding, could be a potential link between sleep, circadian rhythms, and feeding behavior; and disturbances of the circadian variation in composition of the gut microbiome may be involved in the increased risk of obesity associated with insufficient sleep and circadian misalignment.