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

Studying the impact of COVID-19 mitigation policies on childhood obesity, health behaviors, and disparities in an observational cohort: Protocol for the COVID-19 Family Study

BACKGROUND

COVID-19 pandemic control policies, including school closures, suspended extra-curricular activities, and social distancing, were introduced to prevent viral transmission, and disrupted children's daily routines, health behaviors, and wellness. This observational cohort study among 697 families with children or adolescents, based on the Family Stress Model, aims to: 1) evaluate pre- to during-pandemic changes in child health behaviors (diet, physical activity, sleep) and weight gain, 2) identify mechanisms explaining the changes, and 3) determine projected healthcare costs on weight gain and obesity. Each aim includes an examination by racial and ethnic, socioeconomic, and geographic disparities.

METHODS

The study employs a mixed methods design, recruiting children and their caregivers from two obesity prevention trials halted in 2020. Enrolled participants complete annual surveys to assess child health behaviors, family resources, routines, and demographics, and home environment in 2020-2022. Height and weight are measured annually in 2021-2022. Annual semi-structured interviews are conducted within a subsample to understand mechanisms of observed changes. Multilevel mixed models and mediation analyses are used to examine changes in child health behaviors and weight gain and mechanisms underlying the changes. Qualitative data are analyzed within and across time points and integrated with quantitative findings to further explain mechanisms. Markov models are used to determine healthcare costs for unhealthy child behaviors and weight gain.

CONCLUSION

Findings from this study will aid in understanding pandemic-related changes in child health behaviors and weight status and will provide insights for the implementation of future programs and policies to improve child and family wellness.

Meeting the WHO 24-h guidelines among 2-6-year-old children by family socioeconomic status before and during the COVID-19 pandemic: a repeated cross-sectional study

Background

The World Health Organization (WHO) has developed guidelines for 24-h physical activity (PA), sedentary behaviour and sleep for young children. Lower socioeconomic status (SES) has been linked to a lower likelihood of meeting these guidelines. The outbreak of the novel coronavirus disease (COVID-19) raised concerns about young children's opportunities to meet the guidelines. The study focused on the prevalence of meeting the WHO's 24-h guidelines on screen time (ST), PA and sleep among 2-6-year-old children, in association with family SES, before COVID-19 outbreak in 2019, and during the pandemic in 2020 and 2021 in Finland.

Methods

Data were collected at three timepoints by an online survey through day-care centres. Meeting the WHO 24-h guidelines was defined for each behaviour, from a parent-reported seven-day recall of a typical day on weekdays and weekend days and adapted to the national context. Children were considered to meet the ST guideline if they had maximum of 60 min of ST, the PA guideline if they had minimum of 60 min of outdoor PA, and the sleep guidelines if they had minimum of 11/10/9 h (2/3-5/6 years) of good or very good quality sleep. Binary logistic regression models were used to examine the odds ratios of meeting the guidelines.

Results

The prevalence of meeting the ST guideline was highest before the COVID-19 pandemic in 2019. The PA guideline was most met during the strict pandemic restrictions in 2020. Children from higher SES families were more likely to meet the ST and sleep duration guidelines either on weekdays or weekends. The PA guideline was met more on weekdays by children whose parents had lower education levels at all timepoints. In 2020, sleep quality guideline was less likely met by children with parents with the highest education levels.

Conclusion

Higher SES may increase the odds of young children meeting the ST and sleep duration guidelines, but the results are more complex regarding PA and SES. The impact of the COVID-19 pandemic on ST, outdoor PA, and sleep of young children varied by family SES, and further research is recommended to identify causality of these relationships.

Supplementary Information

The online version contains supplementary material available at 10.1186/s44167-022-00010-4.

Childhood obesity prevention: what can be achieved?

PURPOSE OF REVIEW

Childhood obesity is a pandemic generating an enormous individual and socioeconomic burden worldwide. This narrative review summarizes recent evidence on successful and recommended prevention strategies according to age groups and different levels of interventions.

RECENT FINDINGS

Effective prevention of childhood obesity is feasible and most successful early in life up to preschool age, and it should include a multicomponent approach, integrating individuals, family and society. Trials that improve nutrition and/or enhance physical activity are the cornerstones of childhood obesity prevention on an individual level. However, their efficacy is determined by the combination of interventions for the target age group. Further, improving family support and sleep, as well as reducing screen time, lead to favourable results. Many research gaps remain, including a lack of effective interventions for high-risk groups.

SUMMARY

As a multifactorial condition, childhood obesity requires a multicomponent approach. Interventions should be developmental stage-specific and adjusted to the setting. Current research gaps need to be targeted by future trials, with a special focus on the benefit of the most vulnerable groups. From a systems response perspective, a paradigm shift from interventions focusing on the individual to approaches that target society as a whole is warranted.

Measuring PROMIS® Physical Activity and Sleep Problems in Early Childhood

Objective

Physical activity (PA) and sleep are leading health indicators for individuals of all ages. Monitoring young children’s PA and sleep using psychometrically sound instruments could help facilitate timely interventions to promote healthy development. This article describes the development of the PROMIS® Early Childhood (EC) Parent Report Physical Activity (PA) and Sleep Problems (SP) measures for children aged 1–5 years.

Methods

Item pools were generated by interviewing parents, input from content experts, and literature review. Data from a U.S. general population sample were used to determine factor structures of item pools via factor analytic approaches, estimate item parameters via item response theory (IRT) models, and establish norms. Pearson correlations were used to evaluate across-domain associations. Analysis of variance was used and known-groups’ validity of PA and SP by comparing their scores to PROMIS EC Parent Report Global Health: child’s physical, emotional, and mental conditions.

Results

Initial item pools consisted of 19 and 26 items for PA and SP, respectively. Factor analyses’ results supported unidimensionality of 5 and 16 items measuring PA and SP, respectively, which were then calibrated using IRT. Norms were established by centering to a probability-based U.S. general population. Computerized adaptive testing algorithms were established. Some analyses supported initial measure validity.

Conclusions

The PROMIS EC PA calibrated scale and SP item banks are user-friendly and brief, yet produce precise scores. Both measures enable psychometrically sound assessment of PA behavior and sleep problems. Future studies to comprehensively evaluate the validity of these two measures are warranted.

Measuring Micro Temporal Processes Underlying Preschoolers Screen Use and Behavioral Health: Protocol for the Tots & Tech Study (Preprint)

Background

Excessive screen time is associated with poor health and behavioral outcomes in children. However, research on screen time use has been hindered by methodological limitations, including retrospective reports of usual screen time and lack of momentary etiologic processes occurring within each day.

Objective

This study is designed to assess the feasibility and utility of a comprehensive multibehavior protocol to measure the digital media use and screen time context among a racially and economically diverse sample of preschoolers and their families. This paper describes the recruitment, data collection, and analytical protocols for the Tots and Tech study.

Methods

The Tots and Tech study is a longitudinal, observational study of 100 dyads: caregivers and their preschool-age children (aged 3-5 years). Both caregivers and children will wear an Axivity AX3 accelerometer (Axivity Ltd) for 30 days to assess their physical activity, sedentary behavior, and sleep. Caregivers will complete ecological momentary assessments (EMAs) for 1 week to measure child behavioral problems, caregiver stress, and child screen time.

Results

The Tots and Tech study was funded in March 2020. This study maintains rolling recruitment, with each dyad on their own assessment schedule, depending on the time of enrollment. Enrollment was scheduled to take place between September 2020 and May 2022. We aim to enroll 100 caregiver-child dyads. The Tots and Tech outcome paper is expected to be published in 2022.

Conclusions

The Tots and Tech study attempts to overcome previous methodological limitations by using objective measures of screen time, physical activity, sedentary behavior, and sleep behaviors with contextual factors measured by EMA. The results will be used to evaluate the feasibility and utility of a comprehensive multibehavior protocol using objective measures of mobile screen time and accelerometry in conjunction with EMA among caregiver-child dyads. Future observational and intervention studies will be able to use this study protocol to better measure screen time and its context.

International Registered Report Identifier (IRRID)

DERR1-10.2196/36240

A Contactless Method for Measuring Full-Day, Naturalistic Motor Behavior Using Wearable Inertial Sensors

How can researchers best measure infants' motor experiences in the home? Body position-whether infants are held, supine, prone, sitting, or upright-is an important developmental experience. However, the standard way of measuring infant body position, video recording by an experimenter in the home, can only capture short instances, may bias measurements, and conflicts with physical distancing guidelines resulting from the COVID-19 pandemic. Here, we introduce and validate an alternative method that uses machine learning algorithms to classify infants' body position from a set of wearable inertial sensors. A laboratory study of 15 infants demonstrated that the method was sufficiently accurate to measure individual differences in the time that infants spent in each body position. Two case studies showed the feasibility of applying this method to testing infants in the home using a contactless equipment drop-off procedure.

Sleep, Classroom Behavior, and Achievement Among Children of Color in Historically Disinvested Neighborhoods

Children of color are more likely to have poor sleep health than White children, placing them at risk for behavioral problems in the classroom and lower academic performance. Few studies, however, have utilized standardized measures of both classroom behavior and achievement. This study examined whether children's sleep (parent and teacher report) in first grade concurrently related to independent observations of classroom behavior and longitudinally predicted achievement test scores in second grade in a sample of primarily Black (86%) children (n = 572; age = 6.8) living in historically disinvested neighborhoods. Higher teacher-reported child sleepiness was associated with lower adaptive behaviors and higher problem behaviors in the classroom, and predicted lower achievement. Parent-reported bedtime resistance and disordered breathing also predicted lower achievement.

A Study on the Relationship Between Physical Activity, Sedentary Behavior, and Sleep Duration in Preschool Children

Purpose: Explore the role of physical activity (PA) and sedentary behavior (SB) in the sleep of preschool children.

Method: Preschool children (n = 458) from kindergarten were recruited, measures included accelerometer-derived 24 h activity [SB, light physical activity (LPA), moderate-to-vigorous physical activity (MVPA), daytime sleep duration (DSP), and nocturnal sleep duration (NSP)]. A self-made questionnaire was used to supplementary survey on different types of SB. The two-layer chi-square test and the Cochran–Mantel–Haenszel test were used and significance set at p < 0.05.

Results: PA is mainly a protective factor for DSP, while SB is mainly a risk factor for NSP of preschool children; Screen-type SB including screen viewing SB and video game SB is a risk factor for NSP, while quiet learning SB have no significant correlation with sleep duration in preschool children; Gender and social economic status are important factors affecting the association of PA, SB, and sleep duration in preschool children.

Conclusions: The relationship between sleep duration at different periods and PA and SB of preschool children is different. Future educators need to gradually realize the different factors affecting the sleep of preschool children at different stages, clarify the protective factors and risk factors, in order to improve the sleep duration of preschool children.

Association between Home Environment in Infancy and Child Movement Behaviors

Introduction: An adequate balance of movement behaviors, including physical activity (PA), sleep, and screen time, is important for preventing excess weight gain in children. This study examined the relationship between the infant home environment and movement behaviors later in life. Methods: Pregnant women were recruited for a cohort study related to maternal and child development. The home environment was assessed for developmental stimulation, organization, and toys by the Pediatric Review of Children's Environmental Support and Stimulation (PROCESS) questionnaire when the child was 6 months of age. At 2 years of age, mother-reported child screen time, and child PA and sleep duration were estimated by accelerometry. Child behaviors were compared with the 24-hour Movement Guidelines (≥180 minutes/day of total PA, 11-14 hours/day of sleep, and ≤1 hour/day of screen time). Logistic regression was used to assess the relationship between the home environment and movement behaviors, adjusting for maternal and child covariates. Results: Mother/child dyads (n = 141) were mainly white (84.4%), and middle (32.8%) or low income (48.9%). All children (100%) met the PA guideline, some met the sleep guideline (71.6%), fewer met the screen-time guideline (44.7%), and only one-third (34.0%) met all three guidelines. Children who met the screen-time guideline lived in homes with more developmental stimulation and toys (p < 0.05). Children who met all 3 guidelines lived in homes with more organization and toys (p < 0.05). Conclusion: The infant home environment was associated with appropriate amounts of movement behaviors at 2 years. Promoting organization (i.e., routines) and toys in infancy may help facilitate nonscreen-based habits and healthy development. The clinical trial registration number is NCT01131117.

Motor Competence and Attainment of Global Physical Activity Guidelines among a Statewide Sample of Preschoolers

Global physical activity guidelines for preschoolers include 60 min of moderate-to-vigorous physical activity (MVPA) daily. This study, based on the developmental model of motor skill competence, examines how motor competence relates to preschoolers’ likelihood of meeting global guidelines using ankle accelerometry. We measured physical activity using 24-h ankle-placement accelerometry (Actical) for at least two consecutive days (87% with six-seven days), motor competence using the Test of Gross Motor Development-2 (TGMD-2), and BMI-for-age z-scores (BMIz) using anthropometry and age- and sex-specific CDC norms. Caregivers provided demographic characteristics of children’s age, sex, and race. We used multivariable logistic regression to examine how motor competence, BMIz weight status, and demographic characteristics related to meeting global physical activity guidelines. The sample included 588 preschoolers, age 3–5 years; 55% male; 60% white; and 28% overweight/obese; 75% attained the recommended 60 min of MVPA per day. The odds of meeting MVPA guidelines were associated with higher gross motor quotient, higher object control scores, sex (male), age (older), and race (white), but not with BMIz weight status. Findings support the use of 24-h ankle accelerometry among preschoolers and are consistent with the developmental model of motor competence applied to preschoolers, whereby object control competence relates positively to attaining global physical activity guidelines.

Longitudinal Associations Among Diet Quality, Physical Activity and Sleep Onset Consistency With Body Mass Index z-Score Among Toddlers in Low-income Families

BACKGROUND

Habits surrounding health behaviors (i.e., sleep, physical activity, diet) are developed in toddlerhood. Lack of consistent health habits may increase obesity risk among toddlers in low-income families.

PURPOSE

To compare the role of sleep onset consistency, physical activity and diet quality as mediators between household poverty and toddler weight.

METHODS

Two hundred and seven toddlers (mean age = 20.2 months, 46% female, 68.1% Black) participating in an obesity prevention trial were assessed at three time points over 12 months. Using Actical accelerometers, we assessed sleep and physical activity at each time point for up to 1 week. We defined sleep onset consistency as the standard deviation of sleep onset across all days. We calculated the Healthy Eating Index-2015 from a 24-hr dietary recall. We used WHO standards to calculate BMI-for-age z-scores from toddlers' weight/length, and calculated poverty ratio from parent-reported income and family size. Multilevel mediation models tested toddler sleep onset consistency, physical activity, and diet quality as mediators between household poverty and toddler BMI z-score.

RESULTS

Toddlers from households with higher poverty ratios had more inconsistent sleep onset times. Toddlers with more inconsistent sleep onset times had higher BMI z-scores across all timepoints, even when accounting for physical activity and diet quality. Sleep onset consistency indirectly explained the association between household poverty and BMI z-score.

CONCLUSIONS

Inconsistent sleep schedules could help explain the association between poverty and BMI. Future research should examine strategies to support low-income families to develop and maintain routines as a mechanism to prevent obesity and reduce disparities.

TRIAL REGISTRATION NUMBER

NCT02615158.

Adherence to 24-hour movement guidelines in low-income Brazilian preschoolers and associations with demographic correlates

BACKGROUND

The importance of movement behaviors for health is well known, although few studies have examined the adherence to movement guidelines in low-income preschoolers from a middle-income country, as Brazil. This study reports the proportion of preschoolers meeting the 24-hour movement guidelines and investigates its associations with demographic correlates in Brazilian low-income preschoolers.

METHODS

Two hundred and seventy preschoolers (132 boys, means age = 3.97 ± 0.80) provided physical activity (PA) data (Actigraph wGT3X). Sleep duration, screen time, and social correlates were parent-reported. Preschoolers were classified as compliant/not compliant with the 24-hour movement guidelines. Relationships between compliance with movement behaviors guidelines and demographic correlates were calculated using a network analysis (Mplus 8.0; Rstudio).

RESULTS

Preschoolers were active (273.52 ± 62.08 minutes/day of total PA), though moderate-to-vigorous physical activity (MVPA) time was below the guideline (58.68 ± 22.51 minutes/day); spent more than the recommended 60 minutes/day on screen time (169.91 ± 97.07 minutes/day); and slept less than 10 hours per night (9.44 ± 1.12 hours/day). Only 3% of the sample complied with the guidelines. PA showed the highest compliance (43%), compared to sleep duration (35%) and screen time (15%). Male sex was related to adherence to MVPA recommendations, while female sex, with adherence to total PA recommendations. Child's primary caregiver was the most important centrality indicator in the network.

CONCLUSION

Only 3% of the assessed preschoolers are compliant with the 24-hour movement behaviors guidelines. Strategies to promote adherence to movement behaviors among low-income preschoolers should consider child's primary caregivers to support movement behaviors.

Daily Physical Activity Among Toddlers: Hip and Wrist Accelerometer Assessments

Physical activity (PA) habits seem to track over time from as young as early childhood. For children under age 3 years, wearable sensor-measured PA levels have begun to be investigated. The aims of this study were to evaluate the feasibility of using hip- vs. wrist-worn accelerometers, and to report accelerometer-derived PA metrics among toddlers. A convenience sample of 22 toddlers aged 13 to 35 months and their mothers were recruited for this study. ActiGraph wGT3X-BT accelerometers were attached to wrist bands and waist belts. The mothers were asked to affix a wrist band and a waist belt to their participating children during waking hours for four days. They also completed an acceptability survey. Of the 22 toddlers, 19 (86%) had ≥ 3 valid days of hip data, while only 14 (64%) did so for wrist data (p = 0.16). In terms of acceptability, 18 mothers (82%) responded that the 4-day hip wear was easy, while only 13 (59%) responded that the 4-day wrist wear was easy (p = 0.19). Daily light-intensity PA (LPA) was on average 161 min, and daily moderate- and vigorous-intensity PA (MVPA) was on average 47 min, as determined using published hip accelerometer cut-points. There were no significant differences in LPA or MVPA by age or by sex. In conclusion, this study suggests that hip placement of an ActiGraph accelerometer is more feasible than wrist placement among toddlers.

CHAMP: A cluster randomized-control trial to prevent obesity in child care centers

Foundational elements of lifelong health are formed during the preschool years. Child care attendance has nearly doubled in the past 5 years making child care centers an ideal setting to establish healthy habits that prevent pediatric obesity. Despite the promising evidence of efficacy of child care-based obesity prevention interventions, limited attention has been directed to criteria needed for implementation at scale. There is potential to improve children's dietary and physical activity behaviors in diverse communities through theory-based, culturally appropriate, manualized interventions, delivered by child care staff. CHAMP (Creating Healthy Habits Among Maryland Preschoolers) is a 3-arm cluster randomized controlled childhood obesity prevention trial, aiming to improve motor skills, physical activity and willingness to try new foods among 864 preschoolers (age 3-5 years) enrolled in 54 child care centers in 10 Maryland counties. CHAMP is informed by social-cognitive and bioecological theories and based on an evidence-based program, The Food Friends®. The two intervention arms include: 1) child care-center based lessons (18-week gross motor and 12-week nutrition) administered by trained child care staff, and 2) a web-based intervention for caregivers in addition to center-based lessons. Evaluations are conducted among children, caregivers, and child care staff at fall enrollment, midline, and spring, following intervention completion. Analyses include linear mixed-models, accounting for clustering and repeated measures, incorporating center-arms as moderators. CHAMP will provide evidence-based information to inform wellness guidelines and policies that can be disseminated broadly, to ensure that child care centers provide opportunities for children to develop healthy eating, and physical activity habits. Trial Registration: NCT03111264; https://clinicaltrials.gov/ct2/show/NCT03111264.