Evidence map›Paper›PMID 31585378›Full record

ArticleSocial science & medicine (1982)2019

Pathways linking combinations of early-life adversities to adult mortality: Tales that vary by gender.

Chioun Lee, Carol D Ryff

Abstract read
In one paragraph

Article in Social science & medicine (1982), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
–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

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

19 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  10. Targeting the Arginine Vasopressin VNeuropsychiatric disease and treatment · 2023
    Review
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  14. Observational
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  18. Cardiovascular Health at the Intersection of Race and Gender: Identifying Life-Course Processes to Reduce Health Disparities.The journals of gerontology. Series B, Psychological sciences and social sciences · 2021
    Article
  19. Early-Life Adversities and Recalcitrant Smoking in Midlife: An Examination of Gender and Life-Course Pathways.Annals of behavioral medicine : a publication of the Society of Behavioral Medicine · 2020
    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

2 authors.

Chioun LeeDepartment of Sociology, University of California-Riverside, USA. Electronic address: chiounl@ucr.edu.
Carol D RyffInstitute on Aging, University of Wisconsin, Madison, USA.

Funding

U19 MIDlife in the United States-Diversity Supplement-WellsU19AG051426 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI CAROL D. RYFF · 2016 to 2026
$74.8M
STATISTICS COREP01AG020166 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI RYFF, CAROL D. · 2002 to 2015
$50.6M
ZDV &3TC NEVIRAPINE COMBINATION THERAPY IN HIV 1 INFECTED INFANTS &M01RR000865 · NCRR · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI WASHINGTON, ARNOLD E. · 1985 to 2011
$43.4M
Statistical Data Enclave CoreP30AG017266 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI Michal Engelman · 1999 to 2026
$17.0M
WIHS INTENSIVE PHARMACOKINETIC STUDY (IPS)M01RR023942 · NCRR · GEORGETOWN UNIVERSITY · PI FEDEROFF, HOWARD J. · 2007 to 2009
$6.9M
Gender Differences in Early Life Adversity: Adult Obesity and Cardiovascular RiskR00AG052458 · NIA · UNIVERSITY OF CALIFORNIA RIVERSIDE · PI LEE, CHIOUN · 2018 to 2020
$713k
Gender Differences in Early Life Adversity: Adult Obesity and Cardiovascular RiskK99AG052458 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI LEE, CHIOUN · 2016 to 2017
$218k
NCRR NIH HHS M01 RR000865NCRR NIH HHS M01 RR023942NIA NIH HHS K99 AG052458NIA NIH HHS P01 AG020166NIA NIH HHS P30 AG017266NIA NIH HHS R00 AG052458NIA NIH HHS U19 AG051426
6 · The paper itself

Abstract

rationaleSocioeconomic disadvantage, family instability, and abuse are widely studied early-life adversities (ELAs) that may co-occur in the lives of many. The detrimental effects of these adversities may result in elevated risk of mortality in midlife and old age.

objectiveWe investigate how combinations of these three ELAs affect later-life mortality and the life-course mediators that explain the associations.

methodData come from the first two waves of the Midlife in the United States (MIDUS) study and mortality records over a 20-year period (1995/96-2015). We used latent class analysis (LCA) to identify patterns of ELAs across the three domains and incorporated four life-course mediators: material, psychological, social resources, healthy lifestyle and substance abuse.

resultsLCA yielded six distinct combinations of ELAs, with patterns of socioeconomic status (SES) and abuse being most salient. We found that childhood abuse exists across all levels of childhood SES. For both genders, individuals who experienced low SES combined with frequent abuse have the highest risk of death. For women but not men, frequent abuse increases the risk of mortality even if they grew up in middle or high SES families. For both genders, material resource is a significant contributor on the pathway from ELAs to mortality. Life-course mediators partially accounted for the observed associations between ELAs and mortality, but attenuation was stronger for men than women. This is partially attributed to the stronger direct effects of life-course resources on mortality for men than women.

conclusionsOur findings suggest that ELAs are an important determinant of mortality in midlife and old age. Traumatic experiences during the critical period of early life may compromise later-life heath more for women than men.

Indexed as

Sex FactorsAdverse Childhood ExperiencesFemaleHumansLatent Class AnalysisMaleMiddle AgedMortality, PrematureSocial ClassSurveys and QuestionnairesUnited StatesAdverse childhood experienceGenderLife-course resourcesMortality

Identifiers

PMID31585378
PMCPMC6894498

What OpenQuestion holds

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LicenceTDM
Read underepoch 390

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.