Correlates of children's dietary intake, physical activity and sedentary behavior in home-based childcare: A systematic review

Kerr, Erin; Hewitt, Lyndel; Ryan, Sarah; Norman, Jennifer; Kelly, Bridget; Hammersley, Megan L; Lum, Melanie; Okely, Anthony D.

doi:10.1016/j.pmedr.2022.101999

Cited by 3 publications

(6 citation statements)

References 66 publications

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“…From these numbers, it appears that variability in child PA is common in both FCCH and child care settings. Comparing PA levels between studies within and across FCCH and child care setting is difficult because of differences in the sample characteristics, variations in accelerometers, number of days children wore the devices, selected epochs and cutpoints, and how the PA outcome was operationalized (e.g., light, MVPA, total PA) (Kerr et al, 2022; O'Brien et al, 2018). Nonetheless, the children served by the FCCHs in this study are below the recommended 15 min of total PA per hour (Pate et al, 2015), which suggests the need for improvement.…”

Section: Discussionmentioning

confidence: 99%

“…A recent review identified seven cross-sectional studies that examined 37 correlates of PA (Kerr et al, 2022). Four correlates were at the individual level and 33 were at the interpersonal or organizational levels; no studies examined associations at all three levels (Kerr et al, 2022). Findings across the studies were inconsistent, with only one correlate associated with PA based on two studies: adequate indoor space (Kerr et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

“…Few studies have examined the relationship between PA levels of children attending FCCHs and a comprehensive set of factors potentially associated with PA at the individual, organizational, environmental, and policy levels (Delaney et al, 2014; Figueroa & Wiley, 2016; Gunter et al, 2012; Mazzucca et al, 2018; Neshteruk et al, 2018). Multi‐level approaches, such as those posited by social ecological models, are recommended for supporting and maintaining behavior change (McLeroy et al, 1988) and are often used to organize correlates and determinants of physical activity (Arts et al, 2023; Bingham et al, 2016; Kerr et al, 2022; Neshteruk et al, 2018). A recent review identified seven cross‐sectional studies that examined 37 correlates of PA (Kerr et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

“…Multi‐level approaches, such as those posited by social ecological models, are recommended for supporting and maintaining behavior change (McLeroy et al, 1988) and are often used to organize correlates and determinants of physical activity (Arts et al, 2023; Bingham et al, 2016; Kerr et al, 2022; Neshteruk et al, 2018). A recent review identified seven cross‐sectional studies that examined 37 correlates of PA (Kerr et al, 2022). Four correlates were at the individual level and 33 were at the interpersonal or organizational levels; no studies examined associations at all three levels (Kerr et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

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Children's physical activity in family child care homes: Influence of quality status, environment and policy features, and child characteristics

McIver,

Zaltz,

Neelon

et al. 2024

Child

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BackgroundAbout half of preschool‐age children are not meeting recommendations of 15 min/h of physical activity (PA), and nearly one out of seven children between the ages of 2–5 years are living with obesity. Furthermore, children attending family child care homes (FCCHs), compared with larger child care centers, engage in lower levels of PA and appear to be at a higher risk of obesity. Therefore, examining PA and multi‐level factors that influence PA in children who attend FCCHs is essential.MethodsThe Childcare Home Eating and Exercise Study (CHEER) examined PA behaviors of 184 children enrolled in 56 FCCHs and FCCH quality status, environment and policy features, and child characteristics. PA was assessed by accelerometer, and FCCH environment and policy was assessed via structured observation. Multiple linear regression was used to model associations between school day total PA and FCCH quality status, environment and policy features, and child characteristics.ResultsChild participants were on average 3.1 years old; participants were non‐Hispanic Black (47.3%), Non‐Hispanic White (42.9%), other race/ethnicity (7.1%), and Hispanic/Latin (2.7%). Children in FCCH settings participated in 11.2 min/h of total PA, which is below the recommended 15 min per hour. The PA environment and policy observation yielded a score of 11.8 out of a possible 30, which is not supportive of child PA. There were no associations between total child PA and FCCH quality status, environment and policy features, and child characteristics in these FCCH settings.ConclusionsThis study was unique in its examination of PA and a comprehensive set of factors that may influence PA at the individual, organizational, environmental, and policy levels in a diverse sample of children attending FCCHs in South Carolina. Additional research is needed to better understand how to increase children's physical activity while they are in the FCCH setting. This research should use multi‐level frameworks and apply longitudinal study designs.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Children's physical activity in family child care homes: Influence of quality status, environment and policy features, and child characteristics

McIver,

Zaltz,

Neelon

et al. 2024

Child

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“…Childhood and adolescence are key years for acquiring movement abilities, forming healthy habits, and laying the groundwork for lifetime health and well-being. PA enhances health and fitness in children and teenagers [5,6].…”

Section: Introductionmentioning

confidence: 99%

Wearable Artificial Intelligence for Assessing Physical Activity in High School Children

et al. 2022

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Eighty one percent of adolescents aged 11–17 years are inadequately physically active worldwide. Physical activity (PA) recommendations for high school children have not been studied previously in schools in the Qatar region. The objectives of the study were: (i) to assess the level of compliance of the recommended PA and to assess if there are any gender differences; and (ii) to analyze the recommended step count compliance during school and non-school days. An observational cross-sectional study was conducted. Twenty-nine children (12 boys and 17 girls) aged 13–17 years (15.24 ± 1.46) took part in this study. Participants wore Fitbit Charge 5 wrist bands for three weeks to collect various digital biomarkers including moderate-to-vigorous physical activity (MVPA) and step counts (tracking during out-of-school time and school time). Based on this study, high school children in the two Qatar region schools did not meet the MVPA and steps/day recommendation by the established agencies: 38% of the total study group met the recommended 60 min/day of activity (50% boys, 29% girls). Gender differences were also observed in PA levels and steps per day: for non-school days, 17% met the recommended 10,000 steps/day (25% boys, 12% girls). There was a pattern of greater PA performance and steps during the weekdays as opposed to the weekend, but these values showed no robust evidence in favor of H1 or statistical significance for step counts. However, the evidence was robust in favor of H1 (difference between weekend and weekday) due to a statistically significant difference for meeting the 60 min/day activity. While further studies are required to establish if this is a general trend in Qatari schools, this pilot study does highlight the need to design more effective programs and messaging strategies to improve PA levels in the high school population.

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

Parker,

Burkart,

Reesor-Oyer

et al. 2024

Journal of Physical Activity and Health

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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.

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Correlates of children's dietary intake, physical activity and sedentary behavior in home-based childcare: A systematic review

Cited by 3 publications

References 66 publications

Children's physical activity in family child care homes: Influence of quality status, environment and policy features, and child characteristics

Children's physical activity in family child care homes: Influence of quality status, environment and policy features, and child characteristics

Wearable Artificial Intelligence for Assessing Physical Activity in High School Children

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

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