scholarly journals P03 Deconstructing risk factors for early childhood obesity in a population-based sample

2021 ◽  
Author(s):  
Julie Kapp ◽  
Allison Kemner ◽  
Dana Duren
Keyword(s):  
Risk Factors ◽  
Early Childhood ◽  
Childhood Obesity ◽  
Population Based ◽  
Early Childhood Obesity

Childhood obesity: how long should we wait to predict weight?

2018 ◽  
Vol 31 (5) ◽  
pp. 497-501 ◽  
Author(s):  
Éadaoin M. Butler ◽  
José G.B. Derraik ◽  
Rachael W. Taylor ◽  
Wayne S. Cutfield
Keyword(s):  
Early Childhood ◽  
Childhood Obesity ◽  
Prediction Models ◽  
Population Based ◽  
Future Research ◽  
Clinical Prediction ◽  
Obesity Risk ◽  
Clinical Prediction Models ◽  
Predictive Capacity ◽  
Early Childhood Obesity

AbstractObesity is highly prevalent in children under the age of 5 years, although its identification in infants under 2 years remains difficult. Several clinical prediction models have been developed for obesity risk in early childhood, using a number of different predictors. The predictive capacity (sensitivity and specificity) of these models varies greatly, and there is no agreed risk threshold for the prediction of early childhood obesity. Of the existing models, only two have been practically utilized, but neither have been particularly successful. This commentary suggests how future research may successfully utilize existing early childhood obesity prediction models for intervention. We also consider the need for such models, and how targeted obesity intervention may be more effective than population-based intervention.

scholarly journals Prediction Models for Early Childhood Obesity: Applicability and Existing Issues

2018 ◽  
Vol 90 (6) ◽  
pp. 358-367 ◽  
Author(s):  
Éadaoin M. Butler ◽  
José G.B. Derraik ◽  
Rachael W. Taylor ◽  
Wayne S. Cutfield
Keyword(s):  
Risk Factors ◽  
Early Childhood ◽  
Childhood Obesity ◽  
Statistical Models ◽  
Prediction Models ◽  
False Negative ◽  
Targeted Interventions ◽  
Wide Range ◽  
Early Childhood Obesity ◽  
The Impact

Statistical models have been developed for the prediction or diagnosis of a wide range of outcomes. However, to our knowledge, only 7 published studies have reported models to specifically predict overweight and/or obesity in early childhood. These models were developed using known risk factors and vary greatly in terms of their discrimination and predictive capacities. There are currently no established guidelines on what constitutes an acceptable level of risk (i.e., risk threshold) for childhood obesity prediction models, but these should be set following consideration of the consequences of false-positive and false-negative predictions, as well as any relevant clinical guidelines. To date, no studies have examined the impact of using early childhood obesity prediction models as intervention tools. While these are potentially valuable to inform targeted interventions, the heterogeneity of the existing models and the lack of consensus on adequate thresholds limit their usefulness in practice.

scholarly journals Racial and Ethnic Disparities in Early Childhood Obesity

2018 ◽  
pp. 58-72
Author(s):  
Inyang A. Isong ◽  
Sowmya R. Rao ◽  
Marie-Abèle Bind ◽  
Mauricio Avendaño ◽  
Ichiro Kawachi ◽  
...  
Keyword(s):  
Risk Factors ◽  
Early Childhood ◽  
Weight Gain ◽  
Childhood Obesity ◽  
Ethnic Disparities ◽  
Z Score ◽  
Z Scores ◽  
Obesity Risk Factors ◽  
Early Childhood Obesity ◽  
Infant Weight Gain

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.

scholarly journals Sustainability of Effects of an Early Childhood Obesity Prevention Trial Over Time

2015 ◽  
Vol 169 (6) ◽  
pp. 543 ◽  
Author(s):  
Li Ming Wen ◽  
Louise A. Baur ◽  
Judy M. Simpson ◽  
Huilan Xu ◽  
Alison J. Hayes ◽  
...  
Keyword(s):  
Early Childhood ◽  
Childhood Obesity ◽  
Obesity Prevention ◽  
Prevention Trial ◽  
Childhood Obesity Prevention ◽  
Early Childhood Obesity ◽  
Over Time

Evolution of a Coalition Network during a Whole-of-Community Intervention to Prevent Early Childhood Obesity

2021 ◽  
Author(s):  
Ariella R. Korn ◽  
Ross A. Hammond ◽  
Erin Hennessy ◽  
Aviva Must ◽  
Mark C. Pachucki ◽  
...  
Keyword(s):  
Early Childhood ◽  
Childhood Obesity ◽  
Community Intervention ◽  
Early Childhood Obesity

scholarly journals Transforming Obesity Prevention for CHILDren (TOPCHILD) Collaboration: protocol for a systematic review with individual participant data meta-analysis of behavioural interventions for the prevention of early childhood obesity

2020 ◽  
Author(s):  
Kylie E Hunter ◽  
Brittany J Johnson ◽  
Lisa Askie ◽  
Rebecca K Golley ◽  
Louise A Baur ◽  
...  
Keyword(s):  
Early Childhood ◽  
Childhood Obesity ◽  
Obesity Prevention ◽  
Meta Analysis ◽  
Individual Participant Data ◽  
Behavioural Interventions ◽  
Analysis Methodology ◽  
Individual Participant ◽  
Early Childhood Obesity ◽  
Overall Effectiveness

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.

scholarly journals Convenience Stores are Associated with Early Childhood Obesity in Low‐Income Households

2010 ◽  
Vol 24 (S1) ◽  
Author(s):  
Maria Koleilat ◽  
Gail Harrison ◽  
Shannon Whaley ◽  
Judy Gomez ◽  
Eloise Jenks
Keyword(s):  
Early Childhood ◽  
Childhood Obesity ◽  
Low Income ◽  
Convenience Stores ◽  
Early Childhood Obesity ◽  
Low Income Households
Sign in / Sign up

Export Citation Format

Share Document