Evidence map›Paper›PMID 40073523›Full record

ArticleSocial science & medicine (1982)2025

Changes in marital and health status as risk factors for a subsequent negative wealth shock: A population-based longitudinal study in the United States, 1995-2020.

Tsai-Chin Cho, Xuexin Yu, Sara D Adar, HwaJung Choi, Kenneth M Langa, Lindsay C Kobayashi

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Social science & medicine (1982), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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

3 citing papers in PubMed.

  1. Article
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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

6 authors.

Tsai-Chin ChoDepartment of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA; Center for Social Epidemiology and Population Health, University of Michigan School of Public Health, Ann Arbor, MI, USA. Electronic address: tccho@umich.edu.
Xuexin YuDepartment of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA; Center for Social Epidemiology and Population Health, University of Michigan School of Public Health, Ann Arbor, MI, USA. Electronic address: xuexiny@umich.edu.
Sara D AdarDepartment of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA. Electronic address: sadar@umich.edu.
HwaJung ChoiDepartment of Internal Medicine, University of Michigan, School of Medicine, Ann Arbor, MI, USA; Department of Health Management and Policy, University of Michigan School of Public Health, Ann Arbor, MI, USA; Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI, USA; Institute for Social Research, University of Michigan, Ann Arbor, MI, USA. Electronic address: hwajungc@umich.edu.
Kenneth M LangaDepartment of Internal Medicine, University of Michigan, School of Medicine, Ann Arbor, MI, USA; Department of Health Management and Policy, University of Michigan School of Public Health, Ann Arbor, MI, USA; Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI, USA; Institute for Social Research, University of Michigan, Ann Arbor, MI, USA. Electronic address: klanga@med.umich.edu.
Lindsay C KobayashiDepartment of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA; Center for Social Epidemiology and Population Health, University of Michigan School of Public Health, Ann Arbor, MI, USA; Institute for Social Research, University of Michigan, Ann Arbor, MI, USA. Electronic address: lkob@umich.edu.

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
Research Education CoreP30AG024824 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Lona Mody, RAYMOND L YUNG · 2004 to 2026
$29.2M
Socioeconomic, Cardiovascular, and Psychosocial Sources of Cross-National Variation in Cognitive Health Among Older AdultsR01AG070953 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Alden L. Gross, Lindsay C Kobayashi · 2021 to 2026
$4.6M
Cumulative socioeconomic exposures, cash transfer interventions, and later-life cognitive decline and dementia risk in a low-income region of South AfricaR01AG069128 · NIA · TRUSTEES OF INDIANA UNIVERSITY · PI Lindsay C Kobayashi, Molly Sears Rosenberg · 2020 to 2026
$4.1M
NIA NIH HHS P30 AG024824NIA NIH HHS R01 AG069128NIA NIH HHS R01 AG070953NIA NIH HHS U01 AG009740
6 · The paper itself

Abstract

objectivesA negative wealth shock, defined as a loss of ≥75% in equivalized household total wealth over a short period, may cause adverse health outcomes for older adults. The individual-level risk factors for experiencing a negative wealth shock in later adulthood are unclear.

methodsData were from 25,072 adults aged ≥55 in the longitudinal, population-based US Health and Retirement Study from 1995 to 2020 (n = 123,651 observations across all study respondents). We performed multivariable-adjusted Poisson mixed effects models to examine the association of each of the four risk factors, 1) separation from or loss of a spouse/partner; 2) transition from better to worse self-reported general health; 3) transition from low to high depressive symptoms; and 4) transition from normal cognition to cognitive impairment without dementia (CIND) or dementia, with the subsequent experience of a negative wealth shock in mid-to-later life.

resultsAll four risk factors increased the likelihood of newly experiencing a negative wealth shock: separation from or loss of a spouse/partner (incidence rate ratio (IRR) = 1.59; 95% CI: 1.41, 1.78), transition from excellent/good to fair/poor self-reported general health (IRR = 1.14; 95% CI: 1.06, 1.23), transition from low to high depressive symptoms (IRR = 1.10; 95% CI: 1.02, 1.19), and transition from normal to CIND or dementia (IRR = 1.14; 95% CI: 1.06, 1.22). DISCUSSION: This long-timespan, population-based study suggests that adverse changes in marital or health status in mid-to-later life may signal risks for a future negative wealth shock. Public policy interventions to support aging adults at risk of a negative wealth shock may be warranted.

Indexed as

Health StatusMarital StatusAgedAged, 80 and overDepressionFemaleHumansLongitudinal StudiesMaleMiddle AgedRisk FactorsUnited States

Identifiers

PMID40073523
PMCPMC11939001

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