Dataset Information

Characterizing a "Big Data" Cohort of Over 200,000 Low-Income U.S. Infants and Children for Obesity Research: The ADVANCE Early Life Cohort.

ABSTRACT: Introduction Low-income populations have elevated exposure to early life risk factors for obesity, but are understudied in longitudinal research. Our objective was to assess the utility of a cohort derived from electronic health record data from safety net clinics for investigation of obesity emerging in early life. Methods We examined data from the PCORNet ADVANCE Clinical Data Research Network, a national network of Federally-Qualified Health Centers serving?>1.7 million safety net patients across the US. This cohort includes patients who, in 2012-2014, had??1 valid body mass index measure when they were 0-5 years of age. We characterized the cohort with respect to factors required for early life obesity research in vulnerable subgroups: sociodemographic diversity, weight status based on World Health Organization (<2 years) or Centers for Disease Control (?2 years) growth curves, and data longitudinality. Results The cohort includes 216,473 children and is racially/ethnically diverse (e.g., 17.9% Black, 45.4% Hispanic). A majority (56.9%) had family incomes below the Federal Poverty Level (FPL); 32% were <50% of FPL. Among children?<2 years, 7.6 and 5.3% had high and low weight-for-length, respectively. Among children 2-5 years, 15.0, 12.7 and 2.4% were overweight, obese, and severely obese, respectively; 5.3% were underweight. In the study period, 79.2% of children had??2 BMI measures. Among 4-5 year olds, 21.9% had?>1 BMI measure when they were <2 years. Discussion The ADVANCE Early Life cohort offers unique opportunities to investigate early life determinants of obesity in the understudied population of low income and minority children.

SUBMITTER: Boone-Heinonen J

PROVIDER: S-EPMC5560867 | biostudies-literature | 2017 Mar

REPOSITORIES: biostudies-literature

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Characterizing a "Big Data" Cohort of Over 200,000 Low-Income U.S. Infants and Children for Obesity Research: The ADVANCE Early Life Cohort.

Boone-Heinonen J J Tillotson C J CJ O'Malley J P JP Cottrell E K EK Gaudino J A JA Amofah A A Rivo M L ML Brickman A A Mayer K K McBurnie M A MA Gold R R DeVoe J E JE

Maternal and child health journal 20170301 3

Introduction Low-income populations have elevated exposure to early life risk factors for obesity, but are understudied in longitudinal research. Our objective was to assess the utility of a cohort derived from electronic health record data from safety net clinics for investigation of obesity emerging in early life. Methods We examined data from the PCORNet ADVANCE Clinical Data Research Network, a national network of Federally-Qualified Health Centers serving >1.7 million safety net patients ac ...[more]

PMID: 28093689

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Project description:BackgroundIndividual differences in appetitive traits present in the first few weeks of life. Research has shown that infants with a greater food reinforcement ratio (FRR) have higher obesity risk. To date, limited work has examined the relation between FRR and appetitive traits of infants, and how FRR relates to appetitive traits and obesity development.ObjectivesTo examine the relation between appetitive traits and food and nonfood reinforcement of infants aged 9-18 mo, and to examine whether food and nonfood reinforcement mediate the relation between appetitive traits and weight-for-length z-score (zWFL).MethodThis secondary data analysis was conducted by combining 4 different cohorts of infants (n = 143) who have complete data on the food/nonfood reinforcement task, Baby Eating Behavior Questionnaire, and anthropometrics and demographics assessments. Three different nonfood reinforcers were used: video (DVD; n = 27), playing with bubbles (Bubbles; n = 67), and music accompanied by instruments (Music; n = 49) for the nonfood portion of the task. For the food portion of the task, the infant's favorite food was used.ResultsGeneral appetite positively correlated with FRR and zWFL, but negatively correlated with nonfood reinforcement; satiety responsiveness negatively correlated with food reinforcement, FRR, and zWFL. Mediational analysis showed that effects of general appetite on zWFL were mediated by FRR (indirect effect = 0.100, 95% CI: 0.041, 0.187) and nonfood reinforcement (indirect effect = 0.076, 95% CI: 0.025, 0.156). We also observed the mediating effect of FRR on the relation of satiety responsiveness and zWFL (indirect effect = -0.097, 95% CI: -0.204, -0.026).ConclusionsOur work contributes to the mechanistic understanding of the ontogeny of obesity development early in life among individuals who are born with appetitive drive for overconsumption. During early infancy, the nonfood environment may protect against this drive and prevent obesity development.

Project description:ContextThe COVID-19 pandemic has affected almost every aspect of life including youth sports. Little data exists on COVID-19 incidences and risk mitigation strategies in youth club sports.ObjectiveTo determine the reported incidence of COVID-19 cases among youth club sport athletes and the information sources used to develop COVID-19 risk mitigation procedures.DesignCross-sectional study.SettingOnline surveys.PatientsSoccer and volleyball youth club directors.InterventionA survey was completed by directors of youth volleyball and soccer clubs across the country in October 2020. Surveys included self-reported date of re-initiation, number of players, player COVID-19 cases, sources of infection, COVID-19 mitigation strategies, and information sources for the development of COVID-19 mitigation strategies.Main outcome measuresTotal number of cases reported, number of players, and days since club re-initiation were used to calculate an incidence rate of cases per 100,000 player-days. To compare reported incidence rates between soccer and volleyball, a negative binomial model was developed to predict player cases with sport and state incidence as covariates and log(player-days) as an offset. Estimates were exponentiated to yield a reported incidence rate ratio (IRR) with Wald confidence intervals.ResultsA total of 205,136 athletes (soccer=165,580; volleyball=39,556) were represented by 437 clubs (soccer=159; volleyball=278). Club organizers reported 673 COVID-19 cases (soccer=322; volleyball=351), for a reported incidence rate of 2.8 cases per 100,000 player-days (soccer=1.7, volleyball=7.9). Volleyball had a significantly higher reported COVID-19 incidence rate compared to soccer (reported IRR = 3.06 [2.0-4.6], p<0.001). Out of 11 possible mitigation strategies, the median number of strategies used by all clubs was 7 with an interquartile range of 2.ConclusionsThe incidence of self-reported cases of COVID-19 was lower in soccer clubs than volleyball clubs. Most clubs report using many COVID-19 mitigation strategies to reduce the risk of COVID-19.

Dataset Information

Characterizing a "Big Data" Cohort of Over 200,000 Low-Income U.S. Infants and Children for Obesity Research: The ADVANCE Early Life Cohort.

Publications

Characterizing a "Big Data" Cohort of Over 200,000 Low-Income U.S. Infants and Children for Obesity Research: The ADVANCE Early Life Cohort.

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