The home environment has a significant influence on children's physical activity and obesity risk. Our understanding of this environment is limited by current measurement tools. The Home ...Self-administered Tool for Environmental assessment of Activity and Diet addresses this gap. This paper describes the development and psychometric testing of its family physical activity and screen media practices and beliefs survey.
Survey development was guided by the Analysis Grid for Environments Linked to Obesity (ANGELO) framework and informed by a literature review, expert opinion, and cognitive interviews. Parents of children ages 3-12 years (n = 129) completed the HomeSTEAD survey three times over 12-18 days. Additionally, parents reported on child behaviors and trained staff measured parent and child height and weight. Five exploratory factor analyses were conducted after categorizing items into: control of physical activity, control of screen media, explicit modeling, implicit modeling, and perceived barriers and facilitators. Scales with 3 or more items underwent scale reduction. Psychometric testing evaluated internal consistency (Chronbach's alphas), test-retest reliability (analysis of variance and intraclass correlations (ICC)), and construct validity (correlations with child BMI, physical activity, screen time). An integrated conceptual model of parent physical activity and screen media practices and beliefs was developed based on recent literature to aid in the identification and naming of constructs.
Final scales demonstrated good internal consistency (median Cronbach's alpha = 0.81, IQR = 0.74-0.85), test-retest reliability (median ICC = 0.70, IQR = 0.66-0.78), and construct validity (with correlations between scale score and children's behaviors generally in the expected direction). Comparison with the integrated conceptual model showed that most identified constructs were captured.
The family physical activity and screen media practices survey advances the measurement of the home environment related to children's physical activity, screen time, and weight. The integrated conceptual model provides a useful framework for researchers studying both physical activity and screen media parenting practices.
Parents are influential in promoting children's physical activity. Yet, most research has focused on how mothers influence children's activity, while little empirical attention has been devoted to ...understanding how fathers may influence children's activity. The purpose of this review was to summarize observational studies from 2009 to 2015 examining the influence of fathers on children's physical activity. A publicly available database, from a prior systematic review, containing information on 667 studies of parenting and childhood obesity from 2009 to 2015 was searched for potential studies. Studies were eligible if: 1) fathers were included as participants, 2) results were presented for fathers separate from mothers, 3) fathers' physical activity or physical activity parenting was assessed, and 4) child physical activity was measured. Ten studies met eligibility criteria. All studies were rated as fair quality. The majority of studies (n=8) assessed the relationship between father and child physical activity. Of 27 associations tested, 14 (52%) were significant, indicating a modest, positive relationship between father and child activity. Of the studies examining fathers' physical activity parenting (n=3), there were three significant associations out of 15 tested (20%) and no consistency among measured constructs. No differences were observed in the influence of mothers vs. fathers on children's physical activity. Limited evidence was available to examine moderating effects of child sex or age. Few studies have examined the effect of fathers on child physical activity and this relationship remains unclear. Future studies should target fathers for research and investigate specific pathways through which fathers can influence child activity.
•Few studies have examined the role of fathers on children's physical activity.•A modest, positive relationship existed between father and child physical activity.•Research is limited on the influence of fathers' physical activity parenting behaviors.
Obesity is associated with poorer youth fitness. However, little research has examined the magnitude of this relationship in youth with severe obesity. Therefore, we sought to determine the ...relationship between increasing weight status and fitness within a sample of children and adolescents from New York City public schools.
This study utilized longitudinal data from the NYC Fitnessgram dataset years 2010-2018. Height and weight along with fitness were measured annually during physical education classes. Severity of obesity was defined using body mass index relative to the 95th percentile and then categorized into classes. A composite measure of fitness was calculated based on scores for three fitness tests: aerobic capacity, muscular strength, and muscular endurance. To examine the weight status-fitness relationship, repeated measures mixed models with random-intercepts were constructed. Stratified models examined differences by demographic factors.
The sample included 917,554 youth (51.8% male, 39.3% Hispanic, 29.9% non-Hispanic Black, 14.0%, 4.6%, and 1.6% class I, II and III obesity, respectively). Compared to youth with healthy weight, increasing severity of obesity was associated with decreased fitness: overweight (β = - 0.28, 95% CI:-0.29;-0.28), class I obesity (β = - 0.60, 95% CI:-0.60; - 0.60), class II obesity (β = - 0.94, 95% CI:-0.94; - 0.93), and class III obesity (β = - 1.28; 95% CI:-1.28; - 1.27). Stratified models showed the association was stronger among male and non-Hispanic White youth.
Findings revealed that more severe obesity was associated with lower fitness. Future research is needed to develop targeted interventions to improve fitness in youth with obesity.
Severe persistent childhood asthma is associated with low physical activity and may be associated with poor physical fitness. Research on the asthma severity-fitness association longitudinally and ...across sociodemographic subgroups is needed to inform fitness interventions targeting youth with asthma. We evaluated the relationship between asthma severity (categorized as severe, mild, or no asthma) and subsequent fitness in New York City (NYC) public school youth enrolled in grades 4–12 using the NYC Fitnessgram dataset (2010–2018). Longitudinal mixed models with random intercepts were fit to test the association between asthma severity and one-year lagged fitness z-scores by clustering repeated annual observations at the student level. Models were adjusted for sex, race/ethnicity, grade level, poverty status, time, and stratified by sociodemographic factors. The analytic sample included 663,137 students (51% male; 31% non-Hispanic Black, 40% Hispanic; 55% in grades 4–8, 70% high poverty; 87%, 11% and 1% with no, mild, and severe asthma, respectively). Students with severe asthma and mild asthma demonstrated −0.19 (95% CI, −0.20 to −0.17) and − 0.10 (95% CI, −0.11 to −0.10), respectively, lower fitness z-scores in the subsequent year relative to students without asthma. After stratifying by demographics, the magnitude of the asthma severity-fitness relationship was highest for non-Hispanic white vs. all other racial/ethnic subgroups, and was similar across sex, grade level, and household poverty status. Overall, we observed an inverse longitudinal relationship between asthma severity and subsequent fitness among urban youth, particularly non-Hispanic Whites. Future research should examine how neighborhood-level factors impact the asthma severity-fitness relationship across racial/ethnic subgroups.
•Severe persistent childhood asthma may be associated with poor physical fitness.•We evaluated the relationship between asthma severity and subsequent youth fitness.•We observed an inverse longitudinal association between asthma severity and fitness.•The asthma severity-fitness association was strongest among non-Hispanic Whites.•This work can inform targeted fitness interventions for youth with asthma.
Safe and effective treatment exists for childhood obesity, but treatment recommendations have largely not been translated into practice, particularly among racial and ethnic minorities and low-wealth ...populations. A key gap is meeting the recommended treatment of ≥26 h of lifestyle modification over 6-12 months. Fit Together is an effective treatment model that meets these recommendations by integrating healthcare and community resources. Pediatric providers screen children for obesity, deliver counseling, and treat co-morbidities, while Parks and Recreation partners provide recreation space for a community nutrition and physical activity program.
This study will use a hybrid type II implementation-effectiveness design to evaluate the effectiveness of an online implementation platform (the Playbook) for delivering Fit Together. Clinical and community partners in two North Carolina communities will implement Fit Together, using the Playbook, an implementation package designed to facilitate new partnerships, guide training activities, and provide curricular materials needed to implement Fit Together. An interrupted time series design anchored in the Process Redesign Framework will be used to evaluate implementation and effectiveness outcomes in intervention sites. Implementation measures include semi-structured interviews with partners, before and after the implementation of Fit Together, and quantitative measures assessing several constructs within the Process Redesign Framework. The participants will be children 6-11 years old with obesity and their families (n=400). Effectiveness outcomes include a change in child body mass index and physical activity from baseline to 6 and 12 months, as compared with children receiving usual care. Findings will be used to inform the design of a dissemination strategy guided by the PCORI Dissemination Framework.
This project addresses the knowledge-to-action gap by developing evidence-based implementation tools that allow clinicians and communities to deliver effective pediatric obesity treatment recommendations. Future dissemination of these tools will allow more children who have obesity and their families to have access to effective, evidence-based care in diverse communities.
ClinicalTrials.gov identifier: NCT05455190 . Registered on 13 July 2022.
Routine adolescent physical activity is a well-established predictor of positive health across the lifespan, although wide disparities in youth physical activity engagement persist across sex and ...race/ethnicity. Transportation barriers may be related to adolescents’ ability to access physical activity opportunities. This study examines the association between neighborhood public transportation usage and adolescent physical activity using a national sample.
Cross-sectional data were drawn from the Family Life, Activity, Sun, Health, and Eating study (2014), a national sample of adolescents aged 12–17 years. Linear regression examined the association between neighborhood public transportation usage on the basis of neighborhood-level public transportation use and individual-level youth moderate-to-vigorous physical activity minutes per week. Models were developed for weekday, weekend, and combined moderate-to-vigorous physical activity for all youth and across sex and race/ethnicity subgroups. Analyses were run in 2020.
The final analytic data set included 1,247 adolescents aged 12–17 years (71% non-Hispanic White, 49% male, mean age=14.52 SD=1.59 years). Adjusted models showed a stronger magnitude of association between high neighborhood public transportation usage and both weekday (β=8.79, 95% CI=1.00, 16.59) and combined (β=13.74, 95% CI=1.14, 26.35) moderate-to-vigorous physical activity than between low/moderate neighborhood public transportation usage and moderate-to-vigorous physical activity. The magnitude of the neighborhood public transportation usage–moderate-to-vigorous physical activity association was strongest among non-Hispanic Black and Hispanic adolescent girls.
This study found an association between neighborhood public transportation usage and adolescent moderate-to-vigorous physical activity, particularly among non-Hispanic Black and Hispanic adolescent girls. Findings from this research have the potential to inform targeted interventions for promoting adolescent physical activity to ultimately reduce chronic health disparities across the lifespan.
Summary
Background
Neighbourhood factors are associated with cardiovascular health in adults, but these relationships are under‐explored in youth.
Objectives
To characterize the associations between ...neighbourhood factors and child and adolescent health among youth with obesity.
Methods
Data were drawn from patient health records at a pediatric weight management clinic (
n
= 2838) and the Child Opportunity Index (COI). Exposures were area‐level neighbourhood factors (commute duration, walkability, greenspace and industrial pollutants). Outcomes included BMI relative to the 95th percentile (BMIp95) and blood pressure (continuous variables). Longitudinal models examined associations between COI indicators and outcomes.
Results
Shorter commute duration (
β
= −4.31, 95% CI: −5.92, −2.71) and greater walkability (
β
= −4.40, 95% CI: −5.98, −2.82) were negatively associated with BMIp95. Increased greenspace availability was positively associated with BMIp95 (
β
= 1.93, 95% CI: 0.19, 3.67). None of the COI indicators were associated with cardiovascular outcomes in the full sample. Analyses stratified by sex and race/ethnicity showed similar patterns for BMIp95. For commute duration, there was a negative association with blood pressure for female, non‐Hispanic White and other race/ethnicity youth.
Conclusions
Neighbourhood factors should be considered as contextual factors when treating youth with obesity. Additional research is needed to understand the relationship between neighbourhood factors and cardiovascular outcomes.
Community-based policy, systems, and environmental interventions have the potential to reduce modifiable risk factors for obesity early in life. The purpose of this scoping review was to characterize ...the breadth, generalizability, and methodological quality of community-based diet and obesity-related policy, system, and environmental interventions during the first 1000 days of life, from pregnancy to 24 months of age. Eight databases were searched, and 83 studies (122 references) were included. Data were extracted for breadth (intervention characteristics), generalizability (reach, effectiveness, adoption, implementation, and maintenance), and study quality (Downs and Black Checklist). Systems and environmental approaches were common (> 80%), relative to policy approaches (39%). The majority (60-69%) occurred in the prenatal period and early infancy (0-3 months), assessed breastfeeding or child growth/obesity (53% for both), and included people with lower income (80%) or racial and/or ethnic minority groups (63%). Many interventions reported positive outcomes (i.e., in the expected direction) for child diet, breastfeeding, and feeding practices (> 62%). Few reported intervention maintenance or spanned the full 1000 days. Most studies were classified as good (32%) or fair (56%) methodological quality. The interventions mainly addressed pregnancy and early infancy. Rigorous and representative investigation is needed to improve intervention reach, sustainability, and application in toddlerhood.Community-based policy, systems, and environmental interventions have the potential to reduce modifiable risk factors for obesity early in life. The purpose of this scoping review was to characterize the breadth, generalizability, and methodological quality of community-based diet and obesity-related policy, system, and environmental interventions during the first 1000 days of life, from pregnancy to 24 months of age. Eight databases were searched, and 83 studies (122 references) were included. Data were extracted for breadth (intervention characteristics), generalizability (reach, effectiveness, adoption, implementation, and maintenance), and study quality (Downs and Black Checklist). Systems and environmental approaches were common (> 80%), relative to policy approaches (39%). The majority (60-69%) occurred in the prenatal period and early infancy (0-3 months), assessed breastfeeding or child growth/obesity (53% for both), and included people with lower income (80%) or racial and/or ethnic minority groups (63%). Many interventions reported positive outcomes (i.e., in the expected direction) for child diet, breastfeeding, and feeding practices (> 62%). Few reported intervention maintenance or spanned the full 1000 days. Most studies were classified as good (32%) or fair (56%) methodological quality. The interventions mainly addressed pregnancy and early infancy. Rigorous and representative investigation is needed to improve intervention reach, sustainability, and application in toddlerhood.
Physical activity is strongly associated with health benefits in youth, although wide disparities in physical activity persist across sex, race/ethnicity, and income. Active transportation is an ...important source of youth physical activity. We aimed to describe active transportation patterns for United States adolescents and young adults ages 12–25 years across sociodemographic and weight status characteristics.
Cross-sectional secondary data analyses were based on self-reported transportation-related physical activity using the National Health and Nutrition Examination Survey, 2007-2016.
Of the sample (n = 8,680; population represented, N = 57,768,628), 4,300 (49.5%) were adolescents (12-17 y), and 4,380 (50.4%) were young adults (18-25 y). Male adolescents were more likely to participate in any (risk ratio RR = 1.3; 95% confidence interval CI, 1.16-1.40) and daily (RR = 1.3; 95% CI, 1.06-1.63) active transportation than females. Black (RR = 1.1; 95% CI, 1.01-1.31) and Hispanic (RR = 1.2; 95% CI, 1.05-1.31) adolescents were more likely to engage in any active transportation than whites. Young adult males were more likely to participate in any (RR = 1.3; 95% CI, 1.20-1.50) and daily (RR = 1.3; 95% CI, 1.08-1.55) active transportation than females. Young adults with a lower family income, and both adolescents and young adults with a lower household education, were more likely to engage in any and daily active transportation. We also observed an inverse relationship between weight class and active transportation participation.
Active transportation was higher in males, minority, and lower income youth. Our study findings provide evidence for physical activity interventions, suggesting active transportation is a feasible target for low-income and minority youth to reduce physical activity disparities and support optimal health.
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