Evidence map›Paper›PMID 36547983›Full record

ArticleJAMA network open2022

Associations of Neighborhood Opportunity and Social Vulnerability With Trajectories of Childhood Body Mass Index and Obesity Among US Children.

Izzuddin M Aris, Wei Perng, Dana Dabelea, Amy M Padula, Akram Alshawabkeh, Carmen M Vélez-Vega, Judy L Aschner, Carlos A Camargo, Tamara J Sussman, Anne L Dunlop and 21 more

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in JAMA network open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03061890 (Developmental Impact of Neonatal Intensive Care Unit), which is not on this map. Cited by 81 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
81citing papers in PubMed, 1 pooled it
19.8field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT03061890 completednot on this map

Developmental Impact of Neonatal Intensive Care Unit (NICU) Exposures: Environmental Influences on Child Health Outcomes (ECHO)

Typeobservational_patient_registrySponsorAlbert Einstein College of MedicineRan2017 to 2023Enrolled600ConditionsPrematurity
3 · Its place in the literature

Who cites it

81 citing papers in PubMed, 1 synthesis or guideline pooled it, 104 citations in OpenAlex.

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21 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

31 authors at 20 institutions in 2 countries.

Izzuddin M ArisDivision of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts.
Wei PerngDepartment of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora.
Dana DabeleaDepartment of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora.
Amy M PadulaDepartment of Obstetrics, Gynecology and Reproductive Sciences, University of California, San Francisco, San Francisco.
Akram AlshawabkehDepartment of Civil and Environmental Engineering, Northeastern University, Boston, Massachusetts.
Carmen M Vélez-VegaUPR Medical Sciences Campus, University of Puerto Rico Graduate School of Public Health, San Juan.
Judy L AschnerDepartment of Pediatrics, Hackensack Meridian School of Medicine, Nutley, New Jersey.
Carlos A CamargoDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Tamara J SussmanDepartment of Psychiatry, Columbia University and New York State Psychiatric Institute, New York, New York.
Anne L DunlopDepartment of Gynecology and Obstetrics, Emory University School of Medicine, Atlanta, Georgia.
Amy J ElliottAvera Research Institute, Sioux Falls, South Dakota.
Assiamira FerraraDivision of Research, Kaiser Permanente Northern California, Oakland.
Yeyi ZhuDivision of Research, Kaiser Permanente Northern California, Oakland.
Christine L M JosephDepartment of Public Health Sciences, Henry Ford Health System, Detroit, Michigan.
Anne Marie SinghDivision of Allergy, Immunology and Rheumatology, University of Wisconsin-Madison, Madison.
Tina HartertDepartment of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee.
Ferdinand CachoDepartment of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee.
Margaret R KaragasDepartment of Epidemiology, Dartmouth Geisel School of Medicine, Hanover, New Hampshire.
Tiffany North-ReidDepartment of Epidemiology, Dartmouth Geisel School of Medicine, Hanover, New Hampshire.
Barry M LesterDepartment of Pediatrics, Warren Alpert Medical School of Brown University, Providence, Rhode Island.
Nichole R KellyDepartment of Counseling Psychology and Human Services, Prevention Science Institute, University of Oregon, Eugene.
Jody M GanibanDepartment of Psychological and Brain Sciences, George Washington University, Washington, District of Columbia.
Su H ChuChanning Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
Thomas G O'ConnorDepartment of Psychiatry, University of Rochester, Rochester, New York.
Rebecca C FryDepartment of Environmental Sciences and Engineering, Gillings School of Global Public Health, University of North Carolina, Chapel Hill.
Gwendolyn NormanInstitute for Environmental Health Sciences, Wayne State University School of Medicine, Detroit, Michigan.
Leonardo TrasandeDepartment of Pediatrics, New York University Grossman School of Medicine, New York.
Bibiana RestrepoDepartment of Pediatrics, University of California Davis School of Medicine, Sacramento.
Peter JamesDivision of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts.
Emily OkenDivision of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts.
Program Collaborators for Environmental Influences on Child Health Outcomes
Harvard University · USBrigham and Women's Hospital · USColorado School of Public Health · USDartmouth College · USKaiser Permanente · USVanderbilt University Medical Center · USAlbert Einstein College of Medicine · USBrown University · USEmory University · USGeorge Washington University · USHenry Ford Health System · USNew York Psychoanalytic Society and Institute · USNew York University · USNortheastern University · USUniversity of California, Davis · USUniversity of California, San Francisco · USUniversity of North Carolina at Chapel Hill · USUniversity of Oregon · USUniversity of Puerto Rico, Medical Sciences Campus · PRUniversity of Rochester · US

Funding

Wisconsin Infant Study Cohort (WISC) ECHO Pediatric Follow-UpUH3OD023282 · OD · UNIVERSITY OF WISCONSIN-MADISON · PI James E. Gern · 2018 to 2026
$64.8M
The NYU Children’s Health & Environment Study: an ECHO CohortUH3OD023305 · OD · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Akhgar Ghassabian, Leonardo Trasande · 2018 to 2026
$59.5M
Mount Sinai ECHO site for Perinatal Environment and Development StudiesUH3OD023337 · OD · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI KECIA Nicole CARROLL, Robert O Wright · 2018 to 2026
$54.1M
Conduits: Mount Sinai Health System Translational Science HubUL1TR004419 · NCATS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Rosalind J Wright · 2022 to 2026
$46.4M
A prospective study of critical environmental exposures in formative early life that impact lifelong health in rural US children: the New Hampshire Birth Cohort StudyUH3OD023275 · OD · DARTMOUTH COLLEGE · PI MARGARET Rita KARAGAS, Juliette Madan · 2018 to 2026
$44.3M
Prenatal and Early Childhood Pathways To Health:  An Integrated Model of Chemical and Social Exposures, Biological Mechanisms, and Sex-Specific Effects on Neurodevelopment and Respiratory OutcomesUH3OD023271 · OD · UNIVERSITY OF WASHINGTON · PI BUSH, NICOLE RENEE, KARR, CATHERINE J · 2018 to 2022
$37.3M
UNC-CH CENTER FOR ENVIRONMENTAL HEALTH &SUSCEPTIBILITYP30ES010126 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Melissa A. Troester · 2001 to 2026
$36.3M
Viral and Host Determinants of Infant and Childhood Allergy and AsthmaU19AI095227 · NIAID · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Tina V Hartert · 2011 to 2026
$34.9M
PILOT STUDY--SUBSTRATE METABOLISM IN EXTREMELY LOW BIRTH WEIGHT INFANTSP30DK048520 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI Wendy M Kohrt · 1995 to 2026
$32.6M
Environmental Influences on Childhood Outcomes in the Northern Plains Safe Passage Study CohortsUH3OD023279 · OD · AVERA MCKENNAN · PI Amy J Elliott, Christine W Hockett · 2018 to 2026
$31.7M
ROLE OF DIETARY CONSTITUENTS ON GENE EXPRESSION IN INTESTINAL EPITHELIUMP30DK040561 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI Elizabeth Austen Lawson, Takara Leah Stanley · 1994 to 2026
$31.6M
UNIV OF NORTH CAROLINA CLINICAL NUTRITION RESEARCH UNITP30DK056350 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SUSAN M. SMITH · 1999 to 2026
$31.6M
NCATS NIH HHS UL1 TR004419NHLBI NIH HHS K01 HL153941NHLBI NIH HHS R01 HL150119NIAID NIH HHS U19 AI095227NICHD NIH HHS R01 HD034568NIDDK NIH HHS P30 DK040561NIDDK NIH HHS P30 DK048520NIDDK NIH HHS P30 DK056350NIEHS NIH HHS P30 ES010126NIEHS NIH HHS P30 ES030284NIH HHS UG3 OD023249NIH HHS UG3 OD023253NIH HHS UG3 OD023282NIH HHS UG3 OD023320NIH HHS UG3 OD035509NIH HHS UG3 OD035516NIH HHS UG3 OD035517NIH HHS UG3 OD035546NIH HHS UH3 OD023248NIH HHS UH3 OD023249NIH HHS UH3 OD023253NIH HHS UH3 OD023268NIH HHS UH3 OD023271NIH HHS UH3 OD023275NIH HHS UH3 OD023279NIH HHS UH3 OD023282NIH HHS UH3 OD023286NIH HHS UH3 OD023287NIH HHS UH3 OD023288NIH HHS UH3 OD023289NIH HHS UH3 OD023305NIH HHS UH3 OD023320NIH HHS UH3 OD023337NIH HHS UH3 OD023347NIH HHS UH3 OD023348NIH HHS UH3 OD023349NIH HHS UH3 OD023365NIH HHS UH3 OD023389NIH HHS UH3 OD035509NIH HHS UH3 OD035513NIH HHS UH3 OD035532
6 · The paper itself

Abstract

Importance: Physical and social neighborhood attributes may have implications for children's growth and development patterns. The extent to which these attributes are associated with body mass index (BMI) trajectories and obesity risk from childhood to adolescence remains understudied. Objective: To examine associations of neighborhood-level measures of opportunity and social vulnerability with trajectories of BMI and obesity risk from birth to adolescence. Design, Setting, and Participants: This cohort study used data from 54 cohorts (20 677 children) participating in the Environmental Influences on Child Health Outcomes (ECHO) program from January 1, 1995, to January 1, 2022. Participant inclusion required at least 1 geocoded residential address and anthropometric measure (taken at the same time or after the address date) from birth through adolescence. Data were analyzed from February 1 to June 30, 2022. Exposures: Census tract-level Child Opportunity Index (COI) and Social Vulnerability Index (SVI) linked to geocoded residential addresses at birth and in infancy (age range, 0.5-1.5 years), early childhood (age range, 2.0-4.8 years), and mid-childhood (age range, 5.0-9.8 years). Main Outcomes and Measures: BMI (calculated as weight in kilograms divided by length [if aged <2 years] or height in meters squared) and obesity (age- and sex-specific BMI ≥95th percentile). Based on nationwide distributions of the COI and SVI, Census tract rankings were grouped into 5 categories: very low (<20th percentile), low (20th percentile to <40th percentile), moderate (40th percentile to <60th percentile), high (60th percentile to <80th percentile), or very high (≥80th percentile) opportunity (COI) or vulnerability (SVI). Results: Among 20 677 children, 10 747 (52.0%) were male; 12 463 of 20 105 (62.0%) were White, and 16 036 of 20 333 (78.9%) were non-Hispanic. (Some data for race and ethnicity were missing.) Overall, 29.9% of children in the ECHO program resided in areas with the most advantageous characteristics. For example, at birth, 26.7% of children lived in areas with very high COI, and 25.3% lived in areas with very low SVI; in mid-childhood, 30.6% lived in areas with very high COI and 28.4% lived in areas with very low SVI. Linear mixed-effects models revealed that at every life stage, children who resided in areas with higher COI (vs very low COI) had lower mean BMI trajectories and lower risk of obesity from childhood to adolescence, independent of family sociodemographic and prenatal characteristics. For example, among children with obesity at age 10 years, the risk ratio was 0.21 (95% CI, 0.12-0.34) for very high COI at birth, 0.31 (95% CI, 0.20-0.51) for high COI at birth, 0.46 (95% CI, 0.28-0.74) for moderate COI at birth, and 0.53 (95% CI, 0.32-0.86) for low COI at birth. Similar patterns of findings were observed for children who resided in areas with lower SVI (vs very high SVI). For example, among children with obesity at age 10 years, the risk ratio was 0.17 (95% CI, 0.10-0.30) for very low SVI at birth, 0.20 (95% CI, 0.11-0.35) for low SVI at birth, 0.42 (95% CI, 0.24-0.75) for moderate SVI at birth, and 0.43 (95% CI, 0.24-0.76) for high SVI at birth. For both indices, effect estimates for mean BMI difference and obesity risk were larger at an older age of outcome measurement. In addition, exposure to COI or SVI at birth was associated with the most substantial difference in subsequent mean BMI and risk of obesity compared with exposure at later life stages. Conclusions and Relevance: In this cohort study, residing in higher-opportunity and lower-vulnerability neighborhoods in early life, especially at birth, was associated with a lower mean BMI trajectory and a lower risk of obesity from childhood to adolescence. Future research should clarify whether initiatives or policies that alter specific components of neighborhood environment would be beneficial in preventing excess weight in children.

Indexed as

ObesitySocial VulnerabilityAdolescentBody Mass IndexChildChild, PreschoolCohort StudiesFemaleHumansInfantInfant, NewbornMaleParturitionPregnancy

Identifiers

PMID36547983
PMCPMC9857328
OpenAlexW4312194091

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.