Evidence mapPaperPMID 40147331Full record

ArticleSocial science & medicine (1982)2025

Do type, timing and duration of life course non-employment differentially predict dementia risk? An application of sequence analysis.

Lucia Pacca, S Amina Gaye, Willa D Brenowitz, Kaori Fujishiro, M Maria Glymour, Amal Harrati, Anusha M Vable

Abstract read
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. The social environment and cognitive aging over the life course: laying out critical concepts and research gaps.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Review
  2. Article
  3. Review
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

7 authors.

Lucia PaccaDepartment of Family and Community Medicine, University of California San Francisco, 2540 23rd St, San Francisco, CA, 94110, United States. Electronic address: lucia.pacca@ucsf.edu.
S Amina GayeDepartment of Family and Community Medicine, University of California San Francisco, 2540 23rd St, San Francisco, CA, 94110, United States. Electronic address: amina.gaye@ucsf.edu.
Willa D BrenowitzKaiser Permanente Center for Health Research, 3800 N Interstate Ave, Portland, OR, 97227, United States; Department of Epidemiology and Biostatistics, University of California, San Francisco, 550 16th St 2nd Floor, San Francisco, CA, 94158, United States. Electronic address: willa.d.brenowitz@kpchr.org.
Kaori FujishiroNational Institute for Occupational Safety and Health (NIOSH), MS R-151090 Tusculum Avenue, Cincinnati, OH, 45226, United States. Electronic address: fnd3@cdc.gov.
M Maria GlymourDepartment of Epidemiology, Boston University School of Public Health, 715 Albany St, Boston, MA, 02118, United States. Electronic address: mglymour@bu.edu.
Amal HarratiMathematica, 505 14th St, Oakland, CA, 94612, United States. Electronic address: aharrati@mathematica-mpr.com.
Anusha M VableDepartment of Family and Community Medicine, University of California San Francisco, 2540 23rd St, San Francisco, CA, 94110, United States; Philip R. Lee Institute for Health Policy Studies, University of California San Francisco, 490 Illinois St, San Francisco, CA, 94158, United States. Electronic address: anusha.vable@ucsf.edu.

Funding

Occupational transitions across the lifecourse and dementia risk: evaluating unemployment, occupational complexity using sequence analysisR01AG074351 · WASHINGTON UNIVERSITY · 2025 to 2025
$698k
Intramural CDC HHS CC999999NIA NIH HHS R01 AG074351
6 · The paper itself

Abstract

Periods out of employment may influence dementia, but characterizing lifecourse employment is difficult and prior research is sparse. This study used sequence and cluster analysis to characterize type, timing, and duration of lifecourse work gaps and estimate associations with dementia risk. Life History Mail Survey supplement to the U.S. Health Retirement Study participants (N = 5,945, 13.6 % of the Health and Retirement Study sample) reported lifecourse employment (full time or part time) and reasons and age of work gaps (unemployment, schooling, caregiving, or disability). Our exposure was gender-stratified employment trajectories from age 18-65, characterized using sequence analysis and cluster analysis. Our outcomes were algorithmically defined dementia probability scores and memory scores. We estimated the association between employment trajectories and dementia risk using generalized estimating equations and memory decline using linear mixed effect models, adjusted for age, gender, birthplace, and childhood socioeconomic status. We identified 11 employment trajectories for women (including predominant work, disability, unemployment, caregiving, retirement) and 10 for men (similar, but no caregiving). Compared to "predominant work", "disability" and "unemployment" trajectories were associated with higher dementia risk for men and women (e.g., disability among women: OR = 3.62; 95 % CI = 2.25, 5.81). Among women who cared for family, those who did not re-enter the labor force full-time had higher dementia risk (e.g. "family gap, go back part time": OR = 1.79; 95 % CI = 1.15, 2.79) compared to the predominant work cluster. Women who cared for family and returned to full-time work had similar cognitive outcomes to those in the predominant work cluster. Men who had long spells of part-time work also had elevated dementia risk (e.g. part time earlier: OR = 1.64; 95 % CI = 1.16, 2.57). Finally, women and men with long periods of unreported employment status had higher dementia risk than those in the predominant work trajectory. Results suggest the type, timing and duration of work gaps are differentially associated with dementia risk. Work gaps due to disability, unemployment or unreported employment status predicted higher dementia risk. Permanently leaving full-time work for caregiving predicted worse cognitive outcomes but temporary caregiving-related work interruptions did not.

Indexed as

DementiaEmploymentAdolescentAdultAgedCluster AnalysisFemaleHumansMaleMiddle AgedRisk FactorsTime FactorsUnemploymentUnited States

Identifiers

PMID40147331
PMCPMC12403970

What Socratic holds

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Registered trials

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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 Socratic graph.