Night time sleep macrostructure is altered in otherwise healthy 10-year-old overweight children

Sleep disturbance associations between parents and children with overweight and obesity

This cross-sectional study examined sleep disturbance associations between parents and their school-age children with overweight and obesity. A 7-day wrist-worn actigraph recording was performed on 246 children aged 6-9 years with overweight and obesity recruited from 10 public elementary schools in Taipei, Taiwan. Children's sleep disturbance was assessed using the Children's Sleep Habits Questionnaire. Parental subjective sleep quality was assessed using the Pittsburgh Sleep Quality Index, with parental depressive symptoms measured using the Epidemiologic Studies-Depression Scale. General linear models were used to examine sleep disturbance associations within parent-child dyads. The results showed that 208 (84.6%) children had a clinically significant sleep disturbance score, and 123 (50%) parents had poor sleep quality. Higher children's sleep disturbance scores significantly predicted poorer parental sleep quality (b = 0.11, p < 0.001). Poorer parental sleep quality was associated with more severe sleep disturbances in children (b = 0.46, p < 0.001). This association was independent of children's actigraphic sleep (all p > 0.05) and was not attenuated by adjustment for parental depressive symptoms (b = 0.14, p < 0.001). Findings from our study suggest that sleep disturbances occur in both parents and their school-age children with overweight and obesity, with a significant bidirectional association between the two. Nurses and healthcare professionals should proactively assess and screen for sleep disturbances in parent-child dyads of children with overweight and obesity. Future studies should develop family-based sleep interventions and evaluate their effects on the sleep, health, and well-being of children with overweight and obesity and their parents.

Food Intake and Sleep Disorders in Children and Adolescents with Obesity

Over the last few decades, numerous scientific studies have investigated the possible association between sleep duration and adiposity during childhood, since it has been reported that sleep deprivation causes a related increase in caloric intake. Even though the underlying pathogenetic mechanisms are still under study and not completely known, the effect of dietetic habits and nutrient intake on sleep quality and patterns has been reported. The aim of this study is to explore the intricate interplay between food intake/diet patterns and pediatric sleep disturbances in children and adolescents with obesity, emphasizing the importance of not underestimating this aspect in the prevention and treatment of this complex disease. Recent evidence supports a high correlation between specific diet patterns and foods with sleep disturbances in children at all ages. Diets rich in fiber, fruit, vegetables, and anti-inflammatory nutrients and low in saturated fats seem to promote better sleep quality. Sleep disturbances are, in turn, risk factors for the development of obesity. Therefore, food strategies should be applied to counteract this harmful process. Unraveling the complex links between dietary habits, sleep patterns, and obesity is essential for developing effective strategies to combat this critical public health issue.

Gut Microbiota Composition and Functionality Are Associated With REM Sleep Duration and Continuous Glucose Levels

CONTEXT

Sleep disruption is associated with worse glucose metabolic control and altered gut microbiota in animal models.

OBJECTIVE

We aimed to evaluate the possible links among rapid eye movement (REM) sleep duration, continuous glucose levels, and gut microbiota composition.

METHODS

This observational, prospective, real-life, cross-sectional case-control study included 118 (60 with obesity), middle-aged (39.1-54.8 years) healthy volunteers recruited at a tertiary hospital. Glucose variability and REM sleep duration were assessed by 10-day continuous glucose monitoring (CGM) (Dexcom G6) and wrist actigraphy (Fitbit Charge 3), respectively. The coefficient of variation (CV), interquartile range (IQR), and SD of glucose variability was assessed and the percentage of time in range (% TIR), at 126-139 mg/dL (TIR2), and 140-199 mg/dL (TIR3) were calculated. Shotgun metagenomics sequencing was applied to study gut microbiota taxonomy and functionality.

RESULTS

Increased glycemic variability (SD, CV, and IQR) was observed among subjects with obesity in parallel to increased % TIR2 and % TIR3. REM sleep duration was independently associated with % TIR3 (β = -.339; P < .001) and glucose variability (SD, β = -.350; P < .001). Microbial taxa from the Christensenellaceae family (Firmicutes phylum) were positively associated with REM sleep and negatively with CGM levels, while bacteria from Enterobacteriacea family and bacterial functions involved in iron metabolism showed opposite associations.

CONCLUSION

Decreased REM sleep duration was independently associated with a worse glucose profile. The associations of species from Christensenellaceae and Enterobacteriaceae families with REM sleep duration and continuous glucose values suggest an integrated picture of metabolic health.

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.

Polysomnographic comparison of sleep in children with obesity and normal weight without suspected sleep-related breathing disorder

Short sleep and obstructive apneas/hypopneas have been shown to be associated with childhood obesity. Still, few studies have compared sleep in children with obesity, without suspected sleep disordered breathing and normal weight peers by objective sleep measures and compared results with subjective parent assessment of sleep. Children with obesity aged 7-13 years (N = 44) and a matched group of normal weight children (N = 42) completed clinical polysomnography (Embla A10 Recording System). Parents scored their children's sleep on the Children's Sleep Habits Questionnaire (CSHQ). Mann-Whitney U tests were used to compare groups. There was a higher obstructive apnea/hypopnea index (AHI) (median obesity = 1.20 vs. median normal  = 0.66; z = -1.33, U = 560.50, p = 0.002) and number of oxygen desaturation events per hour (median obesity = 0.7 vs. median normal  = 0.2; z = -3.45, U = 402.50, p = 0.001) in the children with obesity compared to children with normal weight. The children with obesity had a significantly longer sleep duration (median obesity 8:50 h = vs. median normal = 8:32 h; z = -2.05, U = 687.00, p = 0.041), longer stage N2 sleep (median obesity = 87 min vs. median normal = 52 min; z = -2.87, U = 576.50, p = 0. 004) and shorter REM sleep (median obesity = 94 min vs. median normal = 121 min; z = 5.05, U = 1477.00, p ≤ .001). No differences were observed for time in sleep stage N1 and N3, wake time after sleep onset or the total arousal index . Further, no group differences were found on the CSHQ sleep-disordered breathing sub-scale (p = 0.399). The children with obesity demonstrated significantly more mild to moderate sleep disordered breathing than children with normal weight, although this was not corroborated by parent report.

[Comparative Study of Clinical Manifestations and Sleep Structure in Children with Obstructive Sleep Apnea-hypopnea Syndrome with Different BMI]

OBJECTIVE

To compare and analyze the clinical manifestations and sleep structure of children with obstructive sleep apnea-hypopneasyndrome (OSAHS) with different body mass index (BMI).

METHODS

452 children who were diagnosed with OSAHS between December 2016 and February 2021 by the Department of Respiratory Medicine, Children's Hospital of Soochow University were included in the study. All of them did polysomnography (PSG). They were divided, according to their BMI, into the normal BMI group, the overweight group, and the obesity group. Their clinical data and PSG results were collected.

RESULTS

287 boys (63.5%) and 165 girls (36.5%) were enrolled, with their age ranging between 3 and 15, and the median age being 5.5 (4.5, 7.0). Their BMI ranged between 12.09 kg/m 2 and 38.48 kg/m 2, with the median being 16.29 kg/m 2. 275 cases (60.8%) had normal BMI, 76 cases (16.8%) were overweight, and 101 cases (22.3%) were obese. There was no significant difference in the distribution of clinical manifestations and severity of OSAHS among the three groups. The duration and proportion of rapid eye movement (REM) stage sleep in the obese group was lower than that of the overweight and the normal BMI groups ( P<0.05). The lowest oxyhemoglobin saturation (LSaO 2) of children in the overweight group was lower than that of the normal BMI group ( P=0.050). The oxygen desaturation index (ODI) of the obese group was higher than that of the normal BMI and the overweight groups ( P<0.05).

CONCLUSION

Obesity worsens the degree of hypoxia in children with OSAHS and affects their sleep structure.

Interventions to prevent obesity in Latinx children globally: protocol for a systematic review and meta-analysis

BACKGROUND

Rates of childhood obesity have accelerated rapidly over the past decade in low- and middle-income countries and in Latin America in particular. At the same time, Latinx children in high-income countries have been disproportionately affected by obesity. Public health and medical experts have called for greater focus on multi-sector approaches to obesity prevention, including policy, systems, and environmental strategies, but current evidence for effective intervention strategies among Latinx children is lacking. Several systematic reviews have investigated obesity prevention interventions in Latinx children in the United States and in Latin America, including our own review, but these are now a decade old. Thus, an updated review of existing interventions is needed. To address this gap, we will conduct a systematic review and summary of interventions for obesity prevention among Latinx children published over the past 10 years. The objective of this paper is to outline the protocol for conducting the systematic review and possible meta-analysis.

METHODS

We will conduct a literature search using PubMed, ERIC, PsycINFO, Scopus, Scientific Electronic Library Online, and Google Scholar databases for studies of interventions to prevent obesity in Latinx children ages birth to 18 years of age. To meet our definition of an intervention, we will include study designs that evaluate the either the efficacy or effectiveness of obesity prevention interventions, including randomized controlled trials, quasi-experimental studies, and non-randomized interventions with a control or comparison group. We will exclude interventions that aimed to treat rather than prevent overweight or obesity. Interventions may take place in any country or setting. The primary outcome of interest will be child overweight or obesity, measured as adiposity, body mass, or similar anthropometric measures. We will assess risk of bias of included studies using the Cochrane risk of bias tool for randomized and non-randomized studies, as appropriate. We may conduct meta-analyses if studies with comparable exposure and outcome variables are available.

DISCUSSION

This protocol paper establishes a methodology for a future systemic review of obesity prevention interventions in Latinx children. A systematic review of this topic will provide an important update to the literature regarding interventions to prevent obesity in Latinx child populations globally over the past decade. Review results will be relevant to stakeholders across multiple sectors engaged in childhood obesity prevention among Latinx children.

SYSTEMATIC REVIEW REGISTRATION

PROSPERO CRD42020161339.

Brain-derived neurotrophic factor in relation to central obesity in children with sleep disordered breathing

INTRODUCTION

Sleep disordered breathing (SDB) represents common comorbidities of childhood obesity leading to interrupted sleep and sleep deprivation. Sleep deprivation alters secretion of brain-derived neurotrophic factor (BDNF), which is an appetite regulator. However, little is known about the relation between BDNF and central obesity in children with SDB. The aim of the study was to evaluate BDNF level and anthropometric indices in relation to SDB in children with obesity.

MATERIAL AND METHODS

A prospective case-control study was conducted on 30 children with obesity (BMI > 95^th percentile) and 30 healthy lean children (BMI 5^th-85^th percentile). Polysomnographic, anthropometric data and BDNF serum level were obtained from all included children. Serum level of BDNF and anthropometric indices of obesity were assessed in relation to SDB in children with obesity. Regression analysis was done to determine predictors for SDB in children with obesity.

RESULTS

In comparison to healthy controls, anthropometric indices of central obesity were significantly higher while BDNF was significantly lower in obese children, especially those with SDB. Respiratory disturbance index has a significant positive correlation with anthropometric indices of central obesity and a significant negative correlation with BDNF level. Central obesity and decreased BDNF were associated with 2-fold increased risk for SDB. Waist circumference/height ratio and neck circumference/height ratio have 89.5%, 75% sensitivity and 81.23%, 84.62% specificity at a cutoff point > 0.62, > 0.24 respectively for prediction of SDB in children with obesity.

CONCLUSIONS

Central obesity and decreased BDNF represent independent predictors for SDB in children with obesity. Anthropometric indices adjusted to height are a simple screening tool for SDB in obese children.

Night-time cardiac autonomic modulation as a function of sleep-wake stages is modified in otherwise healthy overweight adolescents

OBJECTIVE

Even though sympathetic dominance during the daytime period is well known, currently, scarce data exist on autonomic nervous system (ANS) regulation during sleep in pediatric obesity. We aimed to evaluate sleep cardiac ANS regulation in normal-weight (NW) and overweight and obese (OW) adolescents.

PATIENTS/METHODS

In this study, 60 healthy adolescents (15.7 ± 0.7 years) belonging to a birth cohort since infancy were classified based on body mass index percentiles criteria as: OW (N = 27) or NW (N = 33). Sleep was evaluated by polysomnography (PSG) during two consecutive in-lab overnight sessions. Non-rapid eye movement (non-REM) sleep stages (stages 1, 2, and slow-wave sleep [SWS]), rapid eye movement (REM) sleep, and wakefulness (Wake) were scored. R-waves were detected automatically in the electrocardiographic (ECG) signal. An all-night heart rate variability analysis was conducted in the ECG signal, with several time- and frequency-domain measures calculated for each sleep-wake stage. Sleep time was divided into thirds (T1, T2, T3). The analysis was performed using a mixed-effects linear regression model.

RESULTS

Sleep organization was comparable except for reduced REM sleep percentage in the OW group (p < 0.04). Shorter R-R intervals were found for all sleep stages in the OW group; time-domain measured standard deviation of all R-R intervals (RRSD) was lower during stage 2, SWS and REM sleep (all p < 0.05). The square root of the mean of the sum of the squares of differences between adjacent R-R intervals (RMSSD) was also lower only during wake after sleep onset (WASO) in T1 and T3 (p < 0.05). The OW group had increased very low- and low-frequency (LF) power during WASO (in T1 and T2), and LF power during stage 2 and REM sleep (in T2). During WASO in the OW group, high-frequency (HF) power was lower (in T1 and T2), and LF/HF ratio was higher (in T2, p < 0.007).

CONCLUSIONS

Several sleep-stage-dependent changes in cardiac autonomic regulation characterized the OW group. As sleep-related ANS balance was disturbed in the absence of concomitant metabolic alterations in this sample of otherwise healthy OW adolescents, their relevance for pediatric obesity should be further explored throughout development.

Association between REM sleep and obstructive sleep apnea in obese and overweight adolescents

PURPOSE

Overweight and obese children have demonstrated reduced rapid eye movement (REM) sleep, affecting energy balance regulation and predisposition to weight gain. Obstructive sleep apnea (OSA) is a known cause of decreased REM sleep. The purpose of this study is to examine the association between the percentage of REM sleep, BMI z-score, and OSA severity in overweight and obese adolescents.

METHODS

We performed a cross-sectional study of 92 (43% female) overweight and obese adolescents (13-17 years old) who underwent overnight polysomnography (PSG) at Children's Hospital Los Angeles between 2010 and 2017.

RESULTS

The average Body Mass Index (BMI) z-score was 2.27 ± 0.47, with 71% having BMI z-score ≥ 2. REM% during PSG was 15.6 ± 6.8, and obstructive apnea-hypopnea index was 17.1 ± 24.3. The distribution across categories of OSA severity was 27% none (≤ 1.5 events/h), 24% mild (> 1.5-5 events/h), 8% moderate (> 5-10 events/h), and 41% severe (> 10 events/h). REM% was not associated with BMI z-score, either on univariate or multivariate regression with adjustment for age, gender, and apnea-hypopnea index (AHI). When subdivided into OSA categories, a 1-unit increase in BMI z-score was associated with a 5.96 (p = 0.03) increase in REM% in mild OSA and an 8.86 (p = 0.02) decrease in REM% in severe OSA. There was no association between BMI z-score and REM% in none and moderate OSA.

CONCLUSION

Among overweight and obese adolescents, BMI z-score was associated with decreased REM% in severe OSA and unexpectedly increased REM% in mild OSA, but there was no association in none or moderate OSA.

Randomised study found that improved nutritional intake was associated with better sleep patterns in prepubertal children who were both short and lean

AIMS

Nutrition and sleep are prerequisites for linear growth and we addressed the under-researched role of sleep in this equation.

METHODS

This was a prospective randomised, double-blinded, placebo-controlled study of nutritional supplements in 164 healthy lean, short, prepubertal children with 83 in the supplement group and 81 in the placebo group. From November 2010 to November 2013, we focussed on children aged three to nine years referred for specialist growth assessments to the Schneider Children's Medical Center, Israel. Progress was assessed using anthropometric measurements, sleep questionnaires and three-day food diaries at baseline and after the six-month intervention.

RESULTS

Children in the supplement group who took at least 50% of the recommended dose had shorter sleep latency than those who did not (p = 0.046). Children who fell asleep in less than 15 minutes had significantly improved standard deviation scores for weight (0.25 ± 0.34 versus 0.07 ± 0.36, p = 0.044) and height (0.09 ± 0.13 versus 0.03 ± 0.13, p = 0.057) than those who took longer to fall asleep. Positive correlations were found between mean sleep duration and caloric and macronutrient intake per kilogram.

CONCLUSION

Adequate nutritional intake was associated with better sleep patterns and may enhance linear growth.

Does preterm period sleep development predict early childhood growth trajectories?

OBJECTIVE

The current study examined the relationship between sleep state development across the preterm and early post-term periods and subsequent growth trajectories from 1 to 27 months corrected age.

STUDY DESIGN

Retrospective analysis of data collected prospectively from 111 preterm infants (⩽34 weeks gestation) who participated in a multi-site longitudinal study. Separate longitudinal parallel process models were calculated for each sleep state (active and quiet sleep) and growth (weight, length and body mass index (BMI) Z-scores) variable to estimate the associations between their developmental trajectories.

RESULTS

Significant associations were identified between the trajectories of quiet sleep and weight, active sleep and weight, quiet sleep and BMI, and active sleep and BMI. No statistically meaningful associations were identified between the trajectories of early childhood length and the preterm sleep states.

CONCLUSION

Faster preterm period sleep development appears to predict more favorable early childhood growth trajectories, particularly for weight, indicating preterm sleep may be an important biomarker for subsequent growth outcomes.

Nocturnal sleep-related variables from 24-h free-living waist-worn accelerometry: International Study of Childhood Obesity, Lifestyle and the Environment

OBJECTIVES

We describe the process of identifying and defining nocturnal sleep-related variables (for example, movement/non-movement indicators of sleep efficiency, waking episodes, midpoint and so on) using the unique 24-h waist-worn free-living accelerometer data collected in the International Study of Childhood Obesity, Lifestyle and the Environment (ISCOLE).

METHODS

Seven consecutive days of 24-h waist-worn accelerometer (GT3X+, ActiGraph LLC) data were collected from over 500 children at each site. An expert subgroup of the research team with accelerometry expertize, frontline data collectors and data managers met on several occasions to categorize and operationally define nocturnal accelerometer signal data patterns. The iterative process was informed by the raw data drawn from a sub set of the US data, and culminated in a refined and replicable delineated definition for each identified nocturnal sleep-related variable. Ultimately based on 6318 participants from all 12 ISCOLE sites with valid total sleep episode time (TSET), we report average clock times for nocturnal sleep onset, offset and midpoint in addition to sleep period time, TSET and restful sleep efficiency (among other derived variables).

RESULTS

Nocturnal sleep onset occurred at 2218 hours and nocturnal sleep offset at 0707 hours. The mean midpoint was 0243 hours. The sleep period time of 529.6 min (8.8 h) was typically accumulated in a single episode, making the average TSET very similar in duration (529.0 min). The mean restful sleep efficiency ranged from 86.8% (based on absolute non-movement of 0 counts per minute) to 96.0% (based on relative non-movement of <100 counts per minute).

CONCLUSIONS

These variables extend the potential of field-based 24-h waist-worn accelerometry to distinguish and categorize the underlying robust patterns of movement/non-movement signals conveying magnitude, duration, frequency and periodicity during the nocturnal sleep period.

Evaluation of actigraphy-measured sleep patterns among children with disabilities and associations with caregivers' educational attainment: results from a cross-sectional study

OBJECTIVES

To use wrist-actrigrphy to collect objective measures of sleep and to characterise actigraphy-measured sleep patterns among children with disabilities. We also assessed the extent to which, if at all, caregivers' education is associated with children's sleep disturbances.

DESIGN

Cross-sectional study.

SETTING

A rehabilitation centre in the Patagonia region, Chile.

METHODS

This study was conducted among 125 children aged 6-12 years with disabilities (boys: 55.2%) and their primary caregivers in Chile. Children wore ActiSleep monitors for 7 days. A general linear model was fitted to generate least-square means and SEs of sleep efficiency (proportion of the sleep period spent asleep) across caregivers' education levels adjusting for children's age, sex, disability type, caregiver-child relationship and caregivers' age. Multivariable logistic regression analyses were conducted to estimate ORs and 95% CIs of longer sleep latency (≥ 30 min) and longer wake after sleep onset (WASO) (≥ 90 min) (a measure of sleep fragmentation) in relation to caregivers' educational attainment.

RESULTS

Median sleep latency was 27.3 min, WASO 88.1 min and sleep duration 8.0 h. Mean sleep efficiency was 80.0%. Caregivers' education was positively and significantly associated with children's sleep efficiency (p trend<0.001). Adjusted mean sleep efficiency was 75.7% (SE=1.4) among children of caregivers high school education. Compared to children whose caregivers had >high school, children of caregivers with

CONCLUSIONS

Children with disabilities experience difficulties initiating sleep (prolonged sleep latency) and maintaining sleep (long WASO, low sleep efficiency). Among children with disabilities, lower level of caregivers' education is associated with more sleep disturbances.

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Key Words

• EPIDEMIOLOGY
• PUBLIC HEALTH
• SLEEP MEDICINE

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MESH Headings

• Actigraphy/instrumentation
• Actigraphy/methods
• Adult
• Caregivers/education
• Caregivers/psychology
• Child
• Chile/epidemiology
• Cross-Sectional Studies
• Disabled Children/psychology
• Educational Status
• Female
• Humans
• Male
• Sleep Wake Disorders/epidemiology
• Sleep Wake Disorders/etiology
• Sleep Wake Disorders/psychology
• Surveys and Questionnaires

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Grants

• T37 MD001449 NIMHD NIH HHS
• UL1 TR000170 NCATS NIH HHS
• 8UL1TR000170-07 NCATS NIH HHS
• T37-MD001449 NIMHD NIH HHS

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Affiliation(s)

Xiaoli Chen Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
Juan Carlos Velez Centro de Rehabilitación Club de Leones Cruz del Sur, Punta Arenas, Chile
Clarita Barbosa Centro de Rehabilitación Club de Leones Cruz del Sur, Punta Arenas, Chile
Micah Pepper Centro de Rehabilitación Club de Leones Cruz del Sur, Punta Arenas, Chile
Bizu Gelaye Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
Susan Redline Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, Massachusetts, USA Department of Medicine, Harvard Medical School, Boston, Massachusetts, USA
Michelle A Williams Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA

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Short Sleep Duration Is Related to Emerging Cardiovascular Risk Factors in Obese Children

OBJECTIVE

The aim of the present study was to evaluate the influence of sleep duration on cardiovascular risk factors in obese children.

METHODS

Cross-sectional analysis of 90 obese children ages 7 to 16 years. Anthropometric and clinical evaluation with specification of dietary and lifestyle habits was carried out during an office visit. Sleep duration was evaluated by the BEARS (B = bedtime issues, E = excessive daytime sleepiness, A = night awakening, R = regularity and duration of sleep, S = snoring) questionnaire on children's sleep characteristics. Sleep time adequacy by age was assessed according to the criteria of the National Sleep Foundation. Biochemical blood variables indicative of metabolic risk (glucose, lipid profile, and insulin) were obtained. Emergent new factors of metabolic risk, including high-sensitive C-reactive protein, γ-glutamyltranspeptidase, homocysteine, retinol-binding protein 4 (RBP4), thyroid-stimulating hormone (TSH), inflammatory markers, and the adipokines leptin, adiponectin, and ghrelin were also evaluated. The relations between the duration of sleep and these variables were analyzed by general lineal model analysis. Significant variables were introduced in logistic regression analysis to determine the odds ratio (OR) and 95% confidence interval (CI) of cardiometabolic factors with respect to sleep.

RESULTS

Children who slept for short duration were significantly more at risk of severe central obesity. In the regression model, the mean arterial pressure (odds ratio [OR] 1.10, 95% confidence interval [CI] 1.02-1.17, P = 0.008), homocysteine (OR 1.41, 95% CI 1.08-1.84, P = 0.013), RBP4 (OR 1.78, 95% CI 1.15-2.78, P = 0.010), and TSH (OR 2.01, 95% CI 1.21-3.34, P = 0.007) remain as significant independent predictors related to short sleep duration. We did not find any association between sleep duration and inflammatory markers or adipokines.

CONCLUSIONS

Short sleep duration increases the severity of obesity and is related to cardiovascular risk factors in children.

An integrative review of sleep for nutrition professionals

Sleep is an essential lifestyle factor that contributes to overall health. The inverse relation between sleep duration and weight status has revealed the importance of sleep in nutritional health. This integrative review builds foundational knowledge with regard to sleep vis-à-vis nutrition by summarizing the importance and process of sleep, current sleep recommendations and trends, as well as lifestyle contributors to poor sleep. Additionally, it details the association between sleep and obesity and potential mechanisms for this association. Furthermore, guidance is offered regarding the incorporation of sleep considerations in nutrition counseling, communication, and research. Like many other lifestyle factors that contribute to nutritional health, sleep needs to be considered when examining weight management and health promotion.