Evidence map›Paper›PMID 32003434›Full record

ArticleThe journals of gerontology. Series B, Psychological sciences and social sciences2020

Cohort Trends in Working Life Expectancies at Age 50 in the United States: A Register-Based Study Using Social Security Administration Data.

Christian Dudel, Mikko Myrskylä

Abstract read
In one paragraph

Article in The journals of gerontology. Series B, Psychological sciences and social sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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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

6 citing papers in PubMed.

  1. Article
  2. Healthy working life expectancy across birth cohorts in the United States.The journals of gerontology. Series B, Psychological sciences and social sciences · 2025
    Article
  3. Article
  4. Article
  5. Article
  6. 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

2 authors.

Christian DudelMax Planck Institute for Demographic Research, Rostock, Germany.
Mikko MyrskyläMax Planck Institute for Demographic Research, Rostock, Germany.

Funding

Contribution of Behavioral Factors and Chronic Diseases to International Differences in Healthy Life ExpectancyR03AG060404 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MEHTA, NEIL · 2018 to 2019
$156k
NIA NIH HHS R03 AG060404
6 · The paper itself

Abstract

objectivesLittle is known about the length of working life, even though it is a key indicator for policy-makers. In this paper, we study how the length of working life at age 50 has developed in the United States from a cohort perspective.

methodsWe use a large longitudinal sample of U.S. Social Security register data that covers close to 1.7 million individuals of the cohorts born from 1920 to 1965. For all of these cohorts, we study the employment trajectories and working life expectancy (WLE) at age 50 by gender and nativity (native-born/foreign-born). For the cohorts with employment trajectories that are only incompletely observed, we borrow information from older cohorts to predict their WLE.

resultsThe length of working life has been increasing for the native-born males and females, and the younger cohorts worked longer than the older cohorts. However, WLE might soon peak, and then stall. The gap in WLE between the native-born and the foreign-born has increased over time, although latter group might be able to catch up in the coming years. DISCUSSION: Our findings show that studying employment from a cohort perspective reveals crucial information about patterns of working life. The future development of the length of working life should be a major concern for policy-makers.

Indexed as

Life ExpectancyAgedAge FactorsEmploymentFemaleHumansLongitudinal StudiesMaleMiddle AgedRegistriesTime FactorsUnited StatesUnited States Social Security AdministrationCohort studyContinuous working history sampleForeign-born populationWorking life expectancy

Identifiers

PMID32003434
PMCPMC7424272

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LicenceCC BY
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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 OpenQuestion graph.