Dataset Information

The Environmental Influences on Child Health Outcomes (ECHO)-Wide Cohort.

ABSTRACT: The Environmental Influences on Child Health Outcomes (ECHO)-Wide Cohort Study (EWC), a collaborative research design comprising 69 cohorts in 31 consortia, was funded by the National Institutes of Health (NIH) in 2016 to improve children's health in the United States. The EWC harmonizes extant data and collects new data using a standardized protocol, the ECHO-Wide Cohort Data Collection Protocol (EWCP). EWCP visits occur at least once per life stage, but the frequency and timing of the visits vary across cohorts. As of March 4, 2022, the EWC cohorts contributed data from 60,553 children and consented 29,622 children for new EWCP data and biospecimen collection. The median (interquartile range) age of EWCP-enrolled children was 7.5 years (3.7-11.1). Surveys, interviews, standardized examinations, laboratory analyses, and medical record abstraction are used to obtain information in 5 main outcome areas: pre-, peri-, and postnatal outcomes; neurodevelopment; obesity; airways; and positive health. Exposures include factors at the level of place (e.g., air pollution, neighborhood socioeconomic status), family (e.g., parental mental health), and individuals (e.g., diet, genomics).

SUBMITTER: Knapp EA

PROVIDER: S-EPMC10403303 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature

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The Environmental Influences on Child Health Outcomes (ECHO)-Wide Cohort.

Knapp Emily A EA Kress Amii M AM Parker Corette B CB Page Grier P GP McArthur Kristen K Gachigi Kennedy K KK Alshawabkeh Akram N AN Aschner Judy L JL Bastain Theresa M TM Breton Carrie V CV Bendixsen Casper G CG Brennan Patricia A PA Bush Nicole R NR Buss Claudia C Camargo Carlos A CA Catellier Diane D Cordero José F JF Croen Lisa L Dabelea Dana D Deoni Sean S D'Sa Viren V Duarte Cristiane S CS Dunlop Anne L AL Elliott Amy J AJ Farzan Shohreh F SF Ferrara Assiamira A Ganiban Jody M JM Gern James E JE Giardino Angelo P AP Towe-Goodman Nissa R NR Gold Diane R DR Habre Rima R Hamra Ghassan B GB Hartert Tina T Herbstman Julie B JB Hertz-Picciotto Irva I Hipwell Alison E AE Karagas Margaret R MR Karr Catherine J CJ Keenan Kate K Kerver Jean M JM Koinis-Mitchell Daphne D Lau Bryan B Lester Barry M BM Leve Leslie D LD Leventhal Bennett B LeWinn Kaja Z KZ Lewis Johnnye J Litonjua Augusto A AA Lyall Kristen K Madan Juliette C JC McEvoy Cindy T CT McGrath Monica M Meeker John D JD Miller Rachel L RL Morello-Frosch Rachel R Neiderhiser Jenae M JM O'Connor Thomas G TG Oken Emily E O'Shea Michael M Paneth Nigel N Porucznik Christina A CA Sathyanarayana Sheela S Schantz Susan L SL Spindel Eliot R ER Stanford Joseph B JB Stroustrup Annemarie A Teitelbaum Susan L SL Trasande Leonardo L Volk Heather H Wadhwa Pathik D PD Weiss Scott T ST Woodruff Tracey J TJ Wright Rosalind J RJ Zhao Qi Q Jacobson Lisa P LP Influences On Child Health Outcomes On Behalf Of Program Collaborators For Environmental OBOPCFE

American journal of epidemiology 20230801 8

The Environmental Influences on Child Health Outcomes (ECHO)-Wide Cohort Study (EWC), a collaborative research design comprising 69 cohorts in 31 consortia, was funded by the National Institutes of Health (NIH) in 2016 to improve children's health in the United States. The EWC harmonizes extant data and collects new data using a standardized protocol, the ECHO-Wide Cohort Data Collection Protocol (EWCP). EWCP visits occur at least once per life stage, but the frequency and timing of the visits v ...[more]

PMID: 36963379

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Project description:BackgroundLimited access to healthy foods, resulting from residence in neighborhoods with low-food access or from household food insecurity, is a public health concern. Contributions of these measures during pregnancy to birth outcomes remain understudied.ObjectivesWe examined associations between neighborhood food access and individual food insecurity during pregnancy with birth outcomes.MethodsWe used data from 53 cohorts participating in the nationwide Environmental Influences on Child Health Outcomes-Wide Cohort Study. Participant inclusion required a geocoded residential address or response to a food insecurity question during pregnancy and information on birth outcomes. Exposures include low-income-low-food-access (LILA, where the nearest supermarket is >0.5 miles for urban or >10 miles for rural areas) or low-income-low-vehicle-access (LILV, where few households have a vehicle and >0.5 miles from the nearest supermarket) neighborhoods and individual food insecurity. Mixed-effects models estimated associations with birth outcomes, adjusting for socioeconomic and pregnancy characteristics.ResultsAmong 22,206 pregnant participants (mean age 30.4 y) with neighborhood food access data, 24.1% resided in LILA neighborhoods and 13.6% in LILV neighborhoods. Of 1630 pregnant participants with individual-level food insecurity data (mean age 29.7 y), 8.0% experienced food insecurity. Residence in LILA (compared with non-LILA) neighborhoods was associated with lower birth weight [β -44.3 g; 95% confidence interval (CI): -62.9, -25.6], lower birth weight-for-gestational-age z-score (-0.09 SD units; -0.12, -0.05), higher odds of small-for-gestational-age [odds ratio (OR) 1.15; 95% CI: 1.00, 1.33], and lower odds of large-for-gestational-age (0.85; 95% CI: 0.77, 0.94). Similar findings were observed for residence in LILV neighborhoods. No associations of individual food insecurity with birth outcomes were observed.ConclusionsResidence in LILA or LILV neighborhoods during pregnancy is associated with adverse birth outcomes. These findings highlight the need for future studies examining whether investing in neighborhood resources to improve food access during pregnancy would promote equitable birth outcomes.

Project description:BackgroundFew resources exist for prospective, longitudinal analysis of the relationships between early life environment and later obesity in large diverse samples of children in the United States (US). In 2016, the National Institutes of Health launched the Environmental influences on Child Health Outcomes (ECHO) program to investigate influences of environmental exposures on child health and development. We describe demographics and overweight and obesity prevalence in ECHO, and ECHO's potential as a resource for understanding how early life environmental factors affect obesity risk.MethodsIn this cross-sectional study of 70 extant US and Puerto Rico cohorts, 2003-2017, we examined age, race/ethnicity, and sex in children with body mass index (BMI) data, including 28,507 full-term post-birth to <2 years and 38,332 aged 2-18 years. Main outcomes included high BMI for age <2 years, and at 2-18 years overweight (BMI 85th to <95th percentile), obesity (BMI ≥ 95th percentile), and severe obesity (BMI ≥ 120% of 95th percentile).ResultsThe study population had diverse race/ethnicity and maternal demographics. Each outcome was more common with increasing age and varied with race/ethnicity. High BMI prevalence (95% CI) was 4.7% (3.5, 6.0) <1 year, and 10.6% (7.4, 13.7) for 1 to <2 years; overweight prevalence increased from 13.9% (12.4, 15.9) at 2-3 years to 19.9% (11.7, 28.2) at 12 to <18 years. ECHO has the statistical power to detect relative risks for 'high' BMI ranging from 1.2 to 2.2 for a wide range of exposure prevalences (1-50%) within each age group.ConclusionsECHO is a powerful resource for understanding influences of chemical, biological, social, natural, and built environments on onset and trajectories of obesity in US children. The large sample size of ECHO cohorts adopting a standardized protocol for new data collection of varied exposures along with longitudinal assessments will allow refined analyses to identify drivers of childhood obesity.

Project description:BackgroundPrior research has demonstrated bidirectional associations between gestational diabetes mellitus (GDM) and perinatal maternal depression. However, the association between GDM, prenatal depression, and postpartum depression (PPD) has not been examined in a prospective cohort longitudinally.MethodsParticipants in the current analysis included 5,822 women from the National Institutes of Health's Environmental influences on Child Health Outcomes (ECHO) Research Program: N = 4,606 with Neither GDM nor Prenatal Maternal Depression (Reference Category); N = 416 with GDM only; N = 689 with Prenatal Maternal Depression only; and N = 111 with Comorbid GDM and Prenatal Maternal Depression. The PROMIS-D scale was used to measure prenatal and postnatal maternal depressive symptoms. Primary analyses consisted of linear regression models to estimate the independent and joint effects of GDM and prenatal maternal depression on maternal postpartum depressive symptoms.ResultsA higher proportion of women with GDM were classified as having prenatal depression (N = 111; 21%) compared to the proportion of women without GDM who were classified as having prenatal depression (N = 689; 13%), however this finding was not significant after adjustment for covariates. Women with Comorbid GDM and Prenatal Maternal Depression had significantly increased postpartum depressive symptoms measured by PROMIS-D T-scores compared to women with Neither GDM nor Prenatal Maternal Depression (mean difference 7.02, 95% CI 5.00, 9.05). Comorbid GDM and Prenatal Maternal Depression was associated with an increased likelihood of PPD (OR 7.38, 95% CI 4.05, 12.94). However, women with GDM only did not have increased postpartum PROMIS-D T-scores or increased rates of PPD.ConclusionsOur findings underscore the importance of universal depression screening during pregnancy and in the first postpartum year. Due to the joint association of GDM and prenatal maternal depression on risk of PPD, future studies should examine potential mechanisms underlying this relation.

Dataset Information

The Environmental Influences on Child Health Outcomes (ECHO)-Wide Cohort.

Publications

The Environmental Influences on Child Health Outcomes (ECHO)-Wide Cohort.

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