Evidence map›Paper›PMID 30277525›Full record

ArticleInternational journal of epidemiology2019

Early life disadvantage and adult adiposity: tests of sensitive periods during childhood and behavioural mediation in adulthood.

Stephen E Gilman, Yen-Tsung Huang, Marcia P Jimenez, Golareh Agha, Su H Chu, Charles B Eaton, Risë B Goldstein, Karl T Kelsey, Stephen L Buka, Eric B Loucks

Open access · bronzeAbstract read
In one paragraph

Article in International journal of epidemiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.1field-weighted citation impact, top 13% 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 14 citations in OpenAlex.

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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

10 authors at 5 institutions in 2 countries.

Stephen E GilmanSocial and Behavioral Sciences Branch, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD, USA.
Yen-Tsung HuangInstitute of Statistical Science, Academia Sinica, Taipei, Taiwan.
Marcia P JimenezDepartment of Epidemiology.
Golareh AghaDepartment of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, USA.
Su H ChuChanning Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
Charles B EatonDepartment of Epidemiology.
Risë B GoldsteinSocial and Behavioral Sciences Branch, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD, USA.
Karl T KelseyDepartment of Epidemiology.
Stephen L BukaDepartment of Epidemiology.
Eric B LoucksDepartment of Epidemiology.
Brown University · USBrigham and Women's Hospital · USColumbia University · USEunice Kennedy Shriver National Institute of Child Health and Human Development · USJohns Hopkins University · US

Funding

Social determinants of child development and mental healthZIAHD008976 · NICHD · EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH & HUMAN DEVELOPMENT · PI GILMAN, STEPHEN · 2018 to 2025
$14.3M
Science/Technical CoreP2CHD041020 · NICHD · BROWN UNIVERSITY · PI ZHENCHAO QIAN · 2016 to 2026
$7.6M
The New England Family Study: Fifty Year Post-Perinatal Follow-Up for Life CourseRC2AG036666 · NIA · BROWN UNIVERSITY · PI BUKA, STEPHEN L, EATON, CHARLES B · 2009 to 2010
$1.7M
Identifying Targets for Reducing Obesity Caused by Early Life DisadvantageR01AG048825 · NIA · BROWN UNIVERSITY · PI GILMAN, STEPHEN E, LOUCKS, ERIC · 2014 to 2015
$576k
NIA NIH HHS R01 AG048825NIA NIH HHS RC2 AG036666NICHD NIH HHS P2C HD041020
6 · The paper itself

Abstract

backgroundEarly exposure to socioeconomic disadvantage is associated with obesity. Here we investigated how early, and conducted mediation analyses to identify behavioural factors in adulthood that could explain why.

methodsAmong 931 participants in the New England Family Study, we investigated the associations of family socioeconomic disadvantage measured before birth and at age 7 years with the following measures of adiposity in mid-adulthood (mean age = 44.4 years): body mass index (BMI), waist circumference and, among 400 participants, body composition from dual-energy X-ray absorption scans.

resultsIn linear regressions adjusting for age, sex, race and childhood BMI Z-score, participants in the highest tertile of socioeconomic disadvantage at birth had 2.6 additional BMI units in adulthood [95% confidence interval (CI) = 1.26, 3.96], 5.62 cm waist circumference (95% CI = 2.69, 8.55), 0.73 kg of android fat mass (95% CI = 0.25, 1.21), and 7.65 higher Fat Mass Index (95% CI = 2.22, 13.09). Conditional on disadvantage at birth, socioeconomic disadvantage at age 7 years was not associated with adult adiposity. In mediation analyses, 10-20% of these associations were explained by educational attainment and 5-10% were explained by depressive symptoms.

conclusionsInfancy may be a sensitive period for exposure to socioeconomic disadvantage, as exposure in the earliest years of life confers a larger risk for overall and central adiposity in mid-adulthood than exposure during childhood. Intervention on these two adult risk factors for adiposity would, if all model assumptions were satisfied, only remediate up to one-fifth of the excess adult adiposity among individuals born into socioeconomically disadvantaged households.

Indexed as

AdiposityBody Mass IndexSocial ClassAbsorptiometry, PhotonAdultChildDepressionFemaleHumansInfant, NewbornLinear ModelsMaleNew EnglandObesityRisk FactorsWaist Circumferenceadipositybody mass indexdepressive symptomseducationfat massmediationsensitive periodSocioeconomic disadvantage

Identifiers

PMID30277525
PMCPMC6380308
OpenAlexW2895642679

What OpenQuestion holds

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Registered trials

None linked

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.