Racial/Ethnic Disparities in Parent Activation: Implications for Developing Interventions Addressing Early Childhood Obesity

Author(s):  
Nakiya N. Showell ◽  
Jamie Perin ◽  
Corinna Koebnick ◽  
Jennifer Jimenez ◽  
Ismael Gonzalez ◽  
...  
PEDIATRICS ◽  
2017 ◽  
Vol 141 (1) ◽  
pp. e20170865 ◽  
Author(s):  
Inyang A. Isong ◽  
Sowmya R. Rao ◽  
Marie-Abèle Bind ◽  
Mauricio Avendaño ◽  
Ichiro Kawachi ◽  
...  

2018 ◽  
pp. 58-72
Author(s):  
Inyang A. Isong ◽  
Sowmya R. Rao ◽  
Marie-Abèle Bind ◽  
Mauricio Avendaño ◽  
Ichiro Kawachi ◽  
...  

OBJECTIVES The prevalence of childhood obesity is significantly higher among racial and/or ethnic minority children in the United States. It is unclear to what extent well-established obesity risk factors in infancy and preschool explain these disparities. Our objective was to decompose racial and/or ethnic disparities in children’s weight status according to contributing socioeconomic and behavioral risk factors. METHODS We used nationally representative data from ~10 700 children in the Early Childhood Longitudinal Study Birth Cohort who were followed from age 9 months through kindergarten entry. We assessed the contribution of socioeconomic factors and maternal, infancy, and early childhood obesity risk factors to racial and/or ethnic disparities in children’s BMI z scores by using Blinder-Oaxaca decomposition analyses. RESULTS The prevalence of risk factors varied significantly by race and/or ethnicity. African American children had the highest prevalence of risk factors, whereas Asian children had the lowest prevalence. The major contributor to the BMI z score gap was the rate of infant weight gain during the first 9 months of life, which was a strong predictor of BMI z score at kindergarten entry. The rate of infant weight gain accounted for between 14.9% and 70.5% of explained disparities between white children and their racial and/or ethnic minority peers. Gaps in socioeconomic status were another important contributor that explained disparities, especially those between white and Hispanic children. Early childhood risk factors, such as fruit and vegetable consumption and television viewing, played less important roles in explaining racial and/or ethnic differences in children’s BMI z scores. CONCLUSIONS Differences in rapid infant weight gain contribute substantially to racial and/or ethnic disparities in obesity during early childhood. Interventions implemented early in life to target this risk factor could help curb widening racial and/or ethnic disparities in early childhood obesity.


2015 ◽  
Vol 3 (1) ◽  
pp. 129-137 ◽  
Author(s):  
Alma D. Guerrero ◽  
Cherry Mao ◽  
Bruce Fuller ◽  
Margaret Bridges ◽  
Todd Franke ◽  
...  

2013 ◽  
Vol 167 (8) ◽  
pp. 731 ◽  
Author(s):  
Elsie M. Taveras ◽  
Matthew W. Gillman ◽  
Ken P. Kleinman ◽  
Janet W. Rich-Edwards ◽  
Sheryl L. Rifas-Shiman

2015 ◽  
Vol 169 (6) ◽  
pp. 543 ◽  
Author(s):  
Li Ming Wen ◽  
Louise A. Baur ◽  
Judy M. Simpson ◽  
Huilan Xu ◽  
Alison J. Hayes ◽  
...  

2021 ◽  
Author(s):  
Ariella R. Korn ◽  
Ross A. Hammond ◽  
Erin Hennessy ◽  
Aviva Must ◽  
Mark C. Pachucki ◽  
...  

2020 ◽  
Author(s):  
Kylie E Hunter ◽  
Brittany J Johnson ◽  
Lisa Askie ◽  
Rebecca K Golley ◽  
Louise A Baur ◽  
...  

ABSTRACTIntroductionBehavioural interventions in early life appear to show some effect in reducing childhood overweight and obesity. However, uncertainty remains regarding their overall effectiveness, and whether effectiveness differs among key subgroups. These evidence gaps have prompted an increase in very early childhood obesity prevention trials worldwide. Combining the individual participant data (IPD) from these trials will enhance statistical power to determine overall effectiveness and enable examination of intervention-covariate interactions. We present a protocol for a systematic review with IPD meta-analysis to evaluate the effectiveness of obesity prevention interventions commencing antenatally or in the first year after birth, and to explore whether there are differential effects among key subgroups.Methods and analysisSystematic searches of Medline, Embase, CENTRAL, CINAHL, PsycInfo, and trial registries for all ongoing and completed randomised controlled trials evaluating behavioural interventions for the prevention of early childhood obesity have been completed up to March 2020 and will be updated annually to include additional trials. Eligible trialists will be asked to share their IPD; if unavailable, aggregate data will be used where possible. An IPD meta-analysis and a nested prospective meta-analysis (PMA) will be performed using methodologies recommended by the Cochrane Collaboration. The primary outcome will be body mass index (BMI) z-score at age 24 +/- 6 months using World Health Organisation Growth Standards, and effect differences will be explored among pre-specified individual and trial-level subgroups. Secondary outcomes include other child weight-related measures, infant feeding, dietary intake, physical activity, sedentary behaviours, sleep, parenting measures and adverse events.Ethics and disseminationApproved by The University of Sydney Human Research Ethics Committee (2020/273) and Flinders University Social and Behavioural Research Ethics Committee (project no. HREC CIA2133-1). Results will be relevant to clinicians, child health services, researchers, policy-makers and families, and will be disseminated via publications, presentations, and media releases.RegistrationProspectively registered on PROSPERO: CRD42020177408STRENGTHS AND LIMITATIONS OF THIS STUDYThis will be the largest individual participant data (IPD) meta-analysis evaluating behavioural interventions for the prevention of early childhood obesity to date, and will provide the most reliable and precise estimates of early intervention effects to inform future decision-making.IPD meta-analysis methodology will enable unprecedented exploration of important individual and trial-level characteristics that may be associated with childhood obesity or that may be effect modifiers.The proposed innovative methodologies are feasible and have been successfully piloted by members of our group.It may not be possible to obtain IPD from all eligible trials; in this instance, aggregate data will be used where available, and sensitivity analyses will be conducted to assess inclusion bias.Outcome measures may be collected and reported differently across included trials, potentially increasing imprecision; however, we will harmonise available data where possible, and encourage those planning or conducting ongoing trials to collect common core outcomes following prospective meta-analysis methodology.


2010 ◽  
Vol 24 (S1) ◽  
Author(s):  
Maria Koleilat ◽  
Gail Harrison ◽  
Shannon Whaley ◽  
Judy Gomez ◽  
Eloise Jenks

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