Evidence map›Paper›PMID 40419001›Full record

ArticleReproductive toxicology (Elmsford, N.Y.)2025

Associations of area-level and individual-level sociodemographic factors with adolescent phenotypes linked to subsequent cancer risk.

Piera M Cirillo, Corinna Keeler, Dana March Palmer, Nickilou Y Krigbaum, Barbara A Cohn

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In one paragraph

Article in Reproductive toxicology (Elmsford, N.Y.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
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

5 authors.

Piera M CirilloChildhood Health and Development Studies Program, Public Health Institute, USA. Electronic address: pcirillo@chdstudies.org.
Corinna KeelerDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, USA.
Dana March PalmerDepartment of Epidemiology, Mailman School of Public Health, Columbia University, USA.
Nickilou Y KrigbaumChildhood Health and Development Studies Program, Public Health Institute, USA.
Barbara A CohnChildhood Health and Development Studies Program, Public Health Institute, USA.

Funding

NICHD NIH HHS HHSN275201100020C
6 · The paper itself

Abstract

backgroundIndices of Concentration at the Extremes (ICEs) serve as joint proxies for social and environmental hazards for health disparities. We tested the hypothesis that ICEs at birth predict timing of menarche and adolescent overweight and investigated whether ICE associations are mediated by individual-level variables.

methodsIn this prospective study, a subset of offspring from the Child Health and Development Studies, born 1959-1967 in Oakland, CA were assessed for early age at menarche (<12 vs. >=12) and overweight body mass index, (BMI, >25 kg/m

resultsAddress at birth was geocoded for 1749 (86.6 %); 42 % had overweight BMI; 15.6 % had early menarche. ICEs at birth predicted timing of menarche and adolescent overweight and were correlated with perinatal DDTs. Most ICE associations with adolescent outcomes were partly mediated by individual level socioeconomic variables, except for the income ICE association with early menarche [adjusted odds ratio: 1.6, 95 %CI:(1.0-2.6)].

conclusionsICEs are accessible metrics of area-level spatial and social segregation that were associated with adolescent overweight, early menarche and DDT exposure. ICEs are useful indicators of high-risk neighborhoods that can be targeted for individual and community-level prevention beginning at birth.

Indexed as

Environmental PollutantsNeoplasmsOverweightAdolescentBody Mass IndexCaliforniaDDTFemaleHumansMenarchePhenotypePregnancyProspective StudiesRisk FactorsSociodemographic FactorsSocioeconomic FactorsDDTEnvironmental PollutantsAdolescenceDevelopmental origins of diseaseIndex of Concentration at the Extremes (ICE)Life-courseMenarcheNeighborhood determinants of breast cancer riskObesityOrganochlorinesOverweightSocial determinants of health

Identifiers

PMID40419001
PMCPMC12952908

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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.