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

Modernizing behavioral parent training program for ADHD with mHealth strategies, telehealth groups, and health behavior curriculum: a randomized pilot trial

OBJECTIVE

Parent behavior management training (BMT) is an evidence-based yet underutilized tool to treat children with ADHD and address related health disparities. This pilot study investigated the acceptability and feasibility of a novel, health behavior-, and technology-adapted BMT (LEAP) vs. standard BMT.

METHODS

The weekly 9-session LEAP telemedicine group program is based on a standard BMT curriculum enhanced with strategies for supporting optimal child sleep, problematic media use (PMU), and physical activity, including wrist-worn activity trackers. Children ages 6-10 years with ADHD and their caregivers were randomized to LEAP or standard BMT. Acceptability and feasibility were tracked. Caregivers completed standardized measures, and children wore hip-worn accelerometers for 1 week at baseline, postintervention (10 weeks), and follow-up (20 weeks).

RESULTS

84 parent/child dyads were randomized to LEAP or standard BMT, with high and comparable acceptability and feasibility. Both treatment groups demonstrated decreased ADHD symptoms and improved executive functions postintervention (p < .0001), maintained at follow-up. Average accelerometer-measured MVPA decreased and sleep duration remained unchanged, while PMU and bedtime resistance improved for both groups.

CONCLUSIONS

LEAP is highly feasible and acceptable, and yielded similar initial clinical and health behavior improvements to standard BMT. Innovative and targeted supports are needed to promote healthy behaviors in children with ADHD.

The Day-Level Association Between Child Care Attendance and 24-Hour Movement Behaviors in Preschool-Aged Children

BACKGROUND

Twenty-four hour movement behaviors (ie, physical activity [PA], screen time [ST], and sleep) are associated with children's health outcomes. Identifying day-level contextual factors, such as child care, that positively influence children's movement behaviors may help identify potential intervention targets, like improving access to child care programs. This study aimed to examine the between- and within-person effects of child care on preschoolers' 24-hour movement behaviors.

METHODS

Children (N = 74, 4.7 [0.9] y, 48.9% girls, 63.3% White) wore an Axivity AX3 accelerometer on their nondominant wrist 24 hours per day for 14 days to measure PA and sleep. Parents completed surveys each night about their child's ST and child care attendance that day. Linear mixed effects models predicted day-level 24-hour movement behaviors from hours spent in child care.

RESULTS

Children spent an average of 5.0 (2.9) hours per day in child care. For every additional hour of child care above their average, children had 0.3 hours (95% CI, -0.3 to -0.2) less ST that day. Between-person effects showed that compared with children who attended fewer overall hours of child care, children who attended more hours had less overall ST (B = -0.2 h; 95% CI, -0.4 to 0.0). Child care was not significantly associated with PA or sleep.

CONCLUSIONS

Child care attendance was not associated with 24-hour PA or sleep; however, it was associated with less ST. More research utilizing objective measures of ST and more robust measures of daily schedules or structure is necessary to better understand how existing infrastructure may influence preschool-aged children's 24-hour movement behaviors. In addition, future research should consider how access to child care may influence child care attendance.

Investigaciones realizadas en Colombia relacionadas con actividad física y obesidad 2010-2020

Introducción: La obesidad es un problema de salud pública mundial. La actividad física es una herramienta importante de promoción y prevención de este problema. Se desconoce las investigaciones realizadas en Colombia al respecto, lo cual es necesario para implementar políticas públicas eficientes. Objetivo: analizar las investigaciones colombianas encontradas en bases de datos científicas sobre la actividad física y obesidad. Metodología: revisión sistemática de artículos de investigación realizados en Colombia del año 2010 al 2020, en las bases de datos PubMed y SciELO.  Resultados: de 87 artículos encontrados, 23 cumplieron los criterios de inclusión. El 91,3 % publicados en revistas indexadas internacionalmente. 69,5% estudios observacionales, 17,4% ensayos clínicos y 8,7% revisiones sistemáticas. Conclusiones: poca producción en Colombia. La mayoría en revistas indexadas, tuvieron diseño observacional y encontraron asociación entre poca actividad física con sobrepeso/obesidad. Alta prevalencia de sobrepeso/obesidad. Pocos autores fueron profesionales en el área del deporte y el entrenamiento. Introduction: Obesity is a global public health problem. Physical activity and exercise are important tools for promoting and preventing. The research carried out in Colombia in this regard is unknown, which is necessary to implement efficient public policies. Objective: to analyze Colombian research found in scientific databases on physical activity or exercise in overweight and obesity. Methodology: literary review of research articles carried out in Colombia from 2010 to 2020, in the PubMed and SciELO databases. Results: Of 87 articles found, 23 met the inclusion criteria. 91.3% published in internationally indexed journals. 69.5% observational studies, 17.4% clinical trials and 8.7% systematic reviews. Conclusions: little production in Colombia. Most of the indexed journals had an observational design and found an association between little physical activity and overweight/obesity. High prevalence of overweight/obesity. Few authors were professionals in the area of training.

Sleep, sedentary behavior, and physical activity in Brazilian adolescents: Achievement recommendations and BMI associations through compositional data analysis

Physical activity, sedentary behavior (SB), and sleep are habitual human behaviors (HHB) which are modifiable throughout the different life phases. Therefore, it is necessary to analyze how the time distribution throughout the day among HHB may be associated with body mass index (BMI). These results could provide inferences which can guide interventions that trigger changes in adolescent behaviors in favor of their health. The objective of this study was to verify the proportion of adolescents who meet the recommendation of sleep, moderate to vigorous physical activity (MVPA), and screen time (ST); to analyze the associations between HHB and BMI, and to determine possible changes in BMI associated with time reallocation between different HHB. Daily HHB recommendations (yes/no) were analyzed by frequency distribution. Compositional data analyses were used to examine the association between HHB and the BMI z-score (zBMI) with covariates (sex, age, and socioeconomic status). Compositional isotemporal substitution models estimated the change in zBMI associated with HHB reallocations from 15 to 120 minutes. A total of 185 adolescents were included (15 to 18 years, 50.8% boys). Thus, total sleep time, SB, light physical activity (LPA) and MVPA were measured by 24-hour accelerometry for seven consecutive days. ST, demographic characteristics, and socioeconomic status were assessed using a questionnaire. Sleep, MVPA, and ST recommendations were achieved by 32.97%, 8.10%, and 1.08% of the sample, respectively. No adolescent was able to achieve all of the daily recommendations. Age was significantly and positively associated with zBMI (p<0.001). Simply replacing 75, 90, and 120 minutes of MVPA by LPA led to an estimated significant increase in zBMI (95CI% z-value, 0.01 to 1.49). The HHB relocation estimates in 24h did not show positive effects on zBMI, nor did it increase the time engaged in MVPA, which may raise the hypothesis that other parameters related to obesity and their related interactions need to be better understood.

Association of Night-Time Screen-Viewing with Adolescents' Diet, Sleep, Weight Status, and Adiposity

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.

Identifying bedrest using waist-worn triaxial accelerometers in preschool children

Purpose

To adapt and validate a previously developed decision tree for youth to identify bedrest for use in preschool children.

Methods

Parents of healthy preschool (3-6-year-old) children (n = 610; 294 males) were asked to help them to wear an accelerometer for 7 to 10 days and 24 hours/day on their waist. Children with ≥3 nights of valid recordings were randomly allocated to the development (n = 200) and validation (n = 200) groups. Wear periods from accelerometer recordings were identified minute-by-minute as bedrest or wake using visual identification by two independent raters. To automate visual identification, chosen decision tree (DT) parameters (block length, threshold, bedrest-start trigger, and bedrest-end trigger) were optimized in the development group using a Nelder-Mead simplex optimization method, which maximized the accuracy of DT-identified bedrest in 1-min epochs against synchronized visually identified bedrest (n = 4,730,734). DT's performance with optimized parameters was compared with the visual identification, commonly used Sadeh’s sleep detection algorithm, DT for youth (10-18-years-old), and parental survey of sleep duration in the validation group.

Results

On average, children wore an accelerometer for 8.3 days and 20.8 hours/day. Comparing the DT-identified bedrest with visual identification in the validation group yielded sensitivity = 0.941, specificity = 0.974, and accuracy = 0.956. The optimal block length was 36 min, the threshold 230 counts/min, the bedrest-start trigger 305 counts/min, and the bedrest-end trigger 1,129 counts/min. In the validation group, DT identified bedrest with greater accuracy than Sadeh’s algorithm (0.956 and 0.902) and DT for youth (0.956 and 0.861) (both P<0.001). Both DT (564±77 min/day) and Sadeh’s algorithm (604±80 min/day) identified significantly less bedrest/sleep than parental survey (650±81 min/day) (both P<0.001).

Conclusions

The DT-based algorithm initially developed for youth was adapted for preschool children to identify time spent in bedrest with high accuracy. The DT is available as a package for the R open-source software environment (“PhysActBedRest”).

Associations of Sleep with Food Cravings, Diet, and Obesity in Adolescence

Background: Sleep and dietary intake/quality can contribute to excess weight gain, but food cravings may influence these relationships. This cross-sectional study examined the relationship of adolescents’ sleep characteristics with dietary intake/quality and obesity and whether food cravings mediated these relationships. Methods: Sleep measures were calculated based on 24-h accelerometry, and height and weight were directly measured to calculate body mass index (BMI) z-scores. Food cravings were assessed by the Food Craving Inventory (FCI). Dietary intake and quality were calculated based on dietary recalls. Multivariable linear regression was used to examine the associations among sleep, food cravings, dietary intake/quality, and obesity, adjusting for confounders. Results: In total, 256 adolescents (ages 10–16 years) had complete data; 42% were non-White and 45% were boys. Sleep efficiency was inversely associated with sweet cravings and FCI-28. Sleep duration, meeting the sleep duration guidelines, and fruit/vegetable cravings were each positively associated with dietary quality. Sleep duration was negatively associated with BMI z-score. Mediation models were not performed as no sleep parameter was associated with both cravings and dietary intake/quality or BMI z-score. Conclusions: Associations existed among poor sleep, quantity and quality, with more frequent food cravings and worse dietary quality. Sleep may underlie adolescent obesogenic behaviors.

Sleep characteristics and health-related quality of life in 9- to 11-year-old children from 12 countries

INTRODUCTION

Previous studies have linked short sleep duration, poor sleep quality, and late sleep timing with lower health-related quality of life (HRQoL) in children. However, almost all studies relied solely on self-reported sleep information, and most studies were conducted in high-income countries. To address these gaps, we studied both device-measured and self-reported sleep characteristics in relation to HRQoL in a sample of children from 12 countries that vary widely in terms of economic and human development.

METHODS

The study sample included 6,626 children aged 9-11 years from Australia, Brazil, Canada, China, Colombia, Finland, India, Kenya, Portugal, South Africa, the United Kingdom, and the United States. Waist-worn actigraphy was used to measure total sleep time, bedtime, wake-up time, and sleep efficiency on both weekdays and weekends. Children also reported ratings of sleep quantity and quality. HRQoL was measured by the KIDSCREEN-10 survey. Multilevel regression models were used to determine the relationships between sleep characteristics and HRQoL.

RESULTS

Results showed considerable variation in sleep characteristics, particularly duration and timing, across study sites. Overall, we found no association between device-measured total sleep time, sleep timing or sleep efficiency, and HRQoL. In contrast, self-reported ratings of poor sleep quantity and quality were associated with HRQoL.

CONCLUSIONS

Self-reported, rather than device-based, measures of sleep are related to HRQoL in children. The discrepancy related to sleep assessment methods highlights the importance of considering both device-measured and self-reported measures of sleep in understanding its health effects.

[Association between obesity and sleep disorders among children in Lanzhou, China]

OBJECTIVE

To investigate the prevalence of obesity and sleep disorders and the association between them among children in Lanzhou, China.

METHODS

The stratified cluster random sampling method was used to select 3 283 primary school students in four districts of Lanzhou of Gansu province. Physical examination and sleep questionnaire were conducted to screen out the children who met the criteria for sleep disorders or obesity as subjects. Among the 3 283 children, 200 healthy children without sleep disorders or obesity were enrolled as the control group.

RESULTS

The prevalence rate of obesity among the 3 283 children was 5.76% (189/3 283). Among these 189 obese children, 80 (42.3%) had sleep disorders. The prevalence rate of sleep disorders was 16.24% (533/3 283), and the prevalence rate of obesity among the children with sleep disorders was 24.6% (131/533). Snoring was the most common sleep disorder in obese children. The prevalence rate of obstructive sleep apnea hypopnea syndrome was 45% (36/80) among obese children with sleep disorders. The obese children had a significantly higher prevalence rate of sleep disorders than the children with normal body weight [42.3% (80/189) vs 20% (40/200), P<0.01].

CONCLUSIONS

There is a close relationship between obesity and sleep disorders in children in Lanzhou, China.

Objective sleep and physical activity using 24-hour ankle-worn accelerometry among toddlers from low-income families

OBJECTIVES

Poverty is a risk for short sleep duration and limited physical activity. This study describes sleep, physical activity, and sedentary behavior of Women, Infants, and Children-eligible toddlers and the proportion of toddlers meeting recommendations for sleep and physical activity, and examines associations with body mass index z scores and poverty.

PARTICIPANTS/MEASUREMENTS

A total of 101 toddlers (12-32 months) from low-income families (62% African American) wore 24-hour ankle accelerometers over 3-7 consecutive days. Concurrent validity for daytime napping was assessed using parent-reported toddler wake/sleep between 08:00 and 20:00 collected using Ecological Momentary Assessment. Logistic regressions predicted odds of meeting guidelines.

RESULTS

Toddlers averaged 10.56 hours of sleep in 24 hours. All toddlers averaged ≥180 minutes of total activity per day, 38% had ≥60 minutes of moderate/vigorous physical activity per day, 32% of toddlers slept between 11 and 14 hours over 24 hours, and 26% had a bedtime before 9:00 pm. Body mass index z score was not associated with meeting guidelines. Poverty was associated with less than 60 minutes of moderate/vigorous physical activity.

CONCLUSIONS

Most toddlers were not meeting sleep guidelines. This study provides objective data on sleep and activity among a diverse sample of low-income toddlers. Objective measures of sleep and physical activity facilitate surveillance of children meeting guidelines for sleep and physical activity. Such norms are needed to examine disparities among children from varying racial and economic backgrounds. Future research should examine if meeting guidelines is related to other health indicators.

International Study of Childhood Obesity, Lifestyle and the Environment (ISCOLE): Contributions to Understanding the Global Obesity Epidemic

The purpose of this review is to summarize the scientific contributions of the International Study of Childhood Obesity, Lifestyle and the Environment (ISCOLE) in extending our understanding about obesity in children from around the world. ISCOLE was a multi-national study of 9 to 11 year-old children from sites in 12 countries from all inhabited continents. The primary purpose was to investigate relationships between lifestyle behaviors and obesity, and the influence of higher-order characteristics such as behavioral settings, and physical, social and policy environments. ISCOLE has made several advances in scientific methodology related to the assessment of physical activity, dietary behavior, sleep and the neighborhood and school environments. Furthermore, ISCOLE has provided important evidence on (1) epidemiological transitions in obesity and related behaviors, (2) correlates of obesity and lifestyle behaviors at the individual, neighborhood and school levels, and (3) 24-h movement behaviors in relation to novel analytical techniques. A key feature of ISCOLE was the development of a platform for international training, data entry, and data quality for multi-country studies. Finally, ISCOLE represents a transparent model for future public-private research partnerships across low, middle and high-income countries.

Sleep patterns and sugar-sweetened beverage consumption among children from around the world

OBJECTIVE

To examine the relationships between objectively measured sleep patterns (sleep duration, sleep efficiency and bedtime) and sugar-sweetened beverage (SSB) consumption (regular soft drinks, energy drinks, sports drinks and fruit juice) among children from all inhabited continents of the world.

DESIGN

Multinational, cross-sectional study.

SETTING

The International Study of Childhood Obesity, Lifestyle and the Environment (ISCOLE).

SUBJECTS

Children (n 5873) 9-11 years of age.

RESULTS

Sleep duration was 12 min per night shorter in children who reported consuming regular soft drinks 'at least once a day' compared with those who reported consuming 'never' or 'less than once a week'. Children were more likely to sleep the recommended 9-11 h/night if they reported lower regular soft drink consumption or higher sports drinks consumption. Children who reported consuming energy drinks 'once a week or more' reported a 25-min earlier bedtime than those who reported never consuming energy drinks. Children who reported consuming sports drinks '2-4 d a week or more' also reported a 25-min earlier bedtime compared with those who reported never consuming sports drinks. The associations between sleep efficiency and SSB consumption were not significant. Similar associations between sleep patterns and SSB consumption were observed across all twelve study sites.

CONCLUSIONS

Shorter sleep duration was associated with higher intake of regular soft drinks, while earlier bedtimes were associated with lower intake of regular soft drinks and higher intake of energy drinks and sports drinks in this international study of children. Future work is needed to establish causality and to investigate underlying mechanisms.

Temporal and bi-directional associations between sleep duration and physical activity/sedentary time in children: An international comparison

The purpose of this multinational and cross-sectional study was to investigate whether nighttime sleep duration was associated with physical activity (PA) and sedentary time (SED) the following day, whether daytime PA/SED were associated with sleep duration the subsequent night, and whether the associations were modified by sex and study sites. Data from 5779 children aged 9-11years were analyzed. A waist-worn Actigraph GT3X+ accelerometer was used to assess children's 24-h movement behaviours for 7days, i.e. sleep duration, total SED, light-intensity physical activity (LPA), and moderate- to vigorous-intensity physical activity (MVPA). Multilevel linear regression models were used to account for the repeated measures nested within participants (there were up to 7 sleep→PA/SED and PA/SED→sleep pairings per participant) and schools, and adjusted for covariates. To facilitate interpretation, all sleep and PA/SED variables were standardized. Results showed that the relationship between sleep and PA/SED is bi-directional in this international sample of children. Specifically, for each one standard deviation (SD) unit increase in sleep duration, SED the following day decreased by 0.04 SD units, while LPA and MVPA increased by 0.04 and 0.02 SD units, respectively. Sleep duration decreased by 0.02 SD units and increased by 0.04 SD units for each one SD unit increase in SED and MVPA, respectively. Sleep duration was not affected by changes in LPA. These associations differed across sex and study sites in both directions. However, since the observed effect sizes are subtle, public health initiatives should consider the clinical and practical relevance of these findings.

Does compliance with healthy lifestyle behaviours cluster within individuals in Australian primary school-aged children?

BACKGROUND

The 3 "movement behaviours" of sleep, screen time, and physical activity are associated with a wide range of health outcomes in children. This study examined whether these behaviours cluster together within individuals in Australian primary school children.

METHODS

Three datasets including 4,449 9- to 11-year-old children were interrogated-(a) Obesity Prevention and Lifestyle (OPAL), (b) the International Study of Children, Obesity, Lifestyle and Environment (ISCOLE), and (c) the National Children's Nutrition and Physical Activity Survey (NCNPAS). The surveys measured movement behaviours using different instruments (accelerometry, use of time recall, and questionnaires) and different operationalizations of compliance. Observed frequencies of compliance with various combinations of guidelines were compared with expected frequencies based on the assumption of independence, using chi-square tests.

RESULTS

Compliance with the sleep guidelines was relatively high (72%, 75%, and 79% in the OPAL, ISCOLE, and NCNPAS datasets, respectively), and compliance with the screen (18%, 35%, and 22%) and physical activity (33%, 57%, and 87%) guidelines was generally lower. Against expectation, there was no evidence of clustering in any of the datasets (p > .99).

CONCLUSIONS

Compliance with movement behaviour guidelines does not cluster within individuals in 9- to 11-year-old Australian children. It may be unlikely that fostering compliance with one guideline will have a flow-on effect to the others. Temporal trade-offs (i.e., the need to choose one movement behaviour above another) in the 24-hr day may contribute to the lack of clustering.

Estimating sleep efficiency in 10- to- 13-year-olds using a waist-worn accelerometer

OBJECTIVE

In field settings, wrist- and waist-worn accelerometers are typically used to assess sleep characteristics and movement behaviors, respectively. There has been a shift in movement behavior studies to wear accelerometers 24 h/d. Sleep characteristics could be assessed in these studies if sleep algorithms were available for waist-worn accelerometers. The objective of this study was to develop and provide validity data for an algorithm/sleep likelihood score cut-off to estimate sleep efficiency in children using the waist-worn Actical accelerometer.

DESIGN

Cross-sectional study.

PARTICIPANTS

Fifty healthy children aged 10-13 years.

MEASUREMENTS

Children wore an Actical on their waist and an Actiwatch 2 on their nondominant wrist for 8 nights at home in their normal sleep environment. Participants were randomized into algorithm/sleep likelihood score "development" and "test" groups (n=25 per group). Within the development group, we assessed sleep efficiency with the Actical using the same algorithm that the Actiwatch 2 uses and selected the sleep likelihood score cut-off value that was the most accurate at predicting sleep efficiency at the nightly level compared with the Actiwatch 2. We applied this algorithm and cut-off value to the test group.

RESULTS

Mean (SD) sleep efficiency estimates for the test group from the Actical and Actiwatch 2 were 89.0% (3.9%) and 88.7% (3.1%), respectively. Bland-Altman plots and absolute difference scores revealed considerable agreement between devices for both nightly and weekly estimates of sleep efficiency.

CONCLUSION

A waist-worn Actical accelerometer can accurately predict sleep efficiency in field settings among healthy 10- to 13-year-olds.

Unique contributions of ISCOLE to the advancement of accelerometry in large studies

Accelerometry has become a mainstay approach for objectively monitoring children's physical activity and sedentary time in epidemiological studies. The magnitude of effort underlying successful data collection, management and treatment is prodigious and its complexity has been associated with increasingly diverse methodological choices that, while defensible relative to specific research questions, conspire to undermine the ability to compare results between studies. Although respecting widespread calls for best practices, it is also important to openly share tools and resources supporting potential improvements to research practice and study design, thus allowing others to replicate, further improve, and/or otherwise build on this foundation. The International Study of Childhood Obesity, Lifestyle and the Environment (ISCOLE) is a large multinational study that included accelerometer-based measures of physical activity, sedentary time and sleep. This review summarizes the unique contributions of ISCOLE to the advancement of accelerometry in large studies of children's behavior, and in particular: (1) open-access publication of the ISCOLE accelerometry Manual of Operations; (2) 24-h waist-worn accelerometry protocol; (3) identification and extraction of nocturnal total sleep episode time (with open access to editable SAS syntax); (4) development of the first interpretive infrastructure for identifying and defining an evolved list of sleep-related variables from 24-h waist-worn accelerometry; (5) provision of a detailed model for reporting accelerometer paradata (administrative data related to accelerometry); and (6) cataloging the most detailed and defensible list of accelerometry-derived physical activity and sedentary time variables to date. The novel tools and resources associated with these innovations are shared openly in an effort to support methodological harmonization and overall advancement of accelerometry in large epidemiological studies.