Evidence map›Paper›PMID 29614178›Full record

ArticleJAMA2018

Association of a Negative Wealth Shock With All-Cause Mortality in Middle-aged and Older Adults in the United States.

Lindsay R Pool, Sarah A Burgard, Belinda L Needham, Michael R Elliott, Kenneth M Langa, Carlos F Mendes de Leon

Abstract read
In one paragraph

Article in JAMA, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 66 papers.

0numbers the graph read from it
0cells of the map it votes in
66citing papers in PubMed
29.9field-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.

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

66 citing papers in PubMed, 136 citations in OpenAlex.

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  7. Impact of oil and gas boom and busts on working-age mortality in the U.S.Environmental epidemiology (Philadelphia, Pa.) · 2025
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  10. Family wealth and adolescent physical health.Health psychology review · 2025
    Review
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6 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Lindsay R PoolDepartment of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois.
Sarah A BurgardDepartment of Sociology, University of Michigan, Ann Arbor.
Belinda L NeedhamDepartment of Epidemiology, University of Michigan, Ann Arbor.
Michael R ElliottInstitute for Social Research, University of Michigan, Ann Arbor.
Kenneth M LangaInstitute for Social Research, University of Michigan, Ann Arbor.
Carlos F Mendes de LeonDepartment of Epidemiology, University of Michigan, Ann Arbor.
University of Michigan–Ann Arbor · USNorthwestern University · US

Funding

HRS Yrs29-34: Y33 SSA CoFundingU01AG009740 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Jessica Faul, KENNETH M LANGA · 1990 to 2026
$555.8M
Scientific/Technical CoreP2CHD041028 · NICHD · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Sarah A. Burgard · 2017 to 2026
$6.5M
Interdisciplinary Research Training on Health and AgingT32AG027708 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Lindsay C Kobayashi, Briana Mezuk · 2008 to 2026
$2.7M
NIA NIH HHS T32 AG027708NIA NIH HHS U01 AG009740NICHD NIH HHS P2C HD041028
6 · The paper itself

Abstract

Importance: A sudden loss of wealth-a negative wealth shock-may lead to a significant mental health toll and also leave fewer monetary resources for health-related expenses. With limited years remaining to regain lost wealth in older age, the health consequences of these negative wealth shocks may be long-lasting. Objective: To determine whether a negative wealth shock was associated with all-cause mortality during 20 years of follow-up. Design, Setting, and Participants: The Health and Retirement Study, a nationally representative prospective cohort study of US adults aged 51 through 61 years at study entry. The study population included 8714 adults, first assessed for a negative wealth shock in 1994 and followed biennially through 2014 (the most recent year of available data). Exposures: Experiencing a negative wealth shock, defined as a loss of 75% or more of total net worth over a 2-year period, or asset poverty, defined as 0 or negative total net worth at study entry. Main Outcomes and Measures: Mortality data were collected from the National Death Index and postmortem interviews with family members. Marginal structural survival methods were used to account for the potential bias due to changes in health status that may both trigger negative wealth shocks and act as the mechanism through which negative wealth shocks lead to increased mortality. Results: There were 8714 participants in the study sample (mean [SD] age at study entry, 55 [3.2] years; 53% women), 2430 experienced a negative wealth shock during follow-up, 749 had asset poverty at baseline, and 5535 had continuously positive wealth without shock. A total of 2823 deaths occurred during 80 683 person-years of follow-up. There were 30.6 vs 64.9 deaths per 1000 person-years for those with continuously positive wealth vs negative wealth shock (adjusted hazard ratio [HR], 1.50; 95% CI, 1.36-1.67). There were 73.4 deaths per 1000 person-years for those with asset poverty at baseline (adjusted HR, 1.67; 95% CI, 1.44-1.94; compared with continuously positive wealth). Conclusions and Relevance: Among US adults aged 51 years and older, loss of wealth over 2 years was associated with an increased risk of all-cause mortality. Further research is needed to better understand the possible mechanisms for this association and determine whether there is potential value for targeted interventions.

Indexed as

IncomeMortalityAgedCause of DeathFemaleFollow-Up StudiesHealth StatusHumansMaleMiddle AgedMortality, PrematurePovertyProspective StudiesRisk FactorsSurvival AnalysisUnited States

Identifiers

PMID29614178
PMCPMC5933380
OpenAlexW2795570121

What OpenQuestion holds

Textmetadata
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.