Evidence map›Paper›PMID 30170592›Full record

SynthesisBMC public health2018

Domains and determinants of retirement timing: A systematic review of longitudinal studies.

Micky Scharn, Ranu Sewdas, Cécile R L Boot, Martijn Huisman, Maarten Lindeboom, Allard J van der Beek

Abstract readSystematic Review
In one paragraph

Synthesis in BMC public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 2 pooled it
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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

31 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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.

Micky ScharnDepartment of Public and Occupational Health, Amsterdam UMC, VU University Amsterdam, Amsterdam Public Health Research Institute, Van der Boechorststraat 7, NL-1081, BT, Amsterdam, The Netherlands.ORCID http://orcid.org/0000-0003-2596-5055
Ranu SewdasDepartment of Public and Occupational Health, Amsterdam UMC, VU University Amsterdam, Amsterdam Public Health Research Institute, Van der Boechorststraat 7, NL-1081, BT, Amsterdam, The Netherlands.
Cécile R L BootDepartment of Public and Occupational Health, Amsterdam UMC, VU University Amsterdam, Amsterdam Public Health Research Institute, Van der Boechorststraat 7, NL-1081, BT, Amsterdam, The Netherlands. crl.boot@vumc.nl.
Martijn HuismanDepartment of Epidemiology and Biostatistics, Amsterdam UMC, VU University Amsterdam, Amsterdam Public Health Research Institute, De Boelelaan 1089a, NL-1081, HV, Amsterdam, The Netherlands.
Maarten LindeboomDepartment of Economics and Development Economics, VU University Amsterdam, De Boelelaan 1105, 1081, HV, Amsterdam, The Netherlands.
Allard J van der BeekDepartment of Public and Occupational Health, Amsterdam UMC, VU University Amsterdam, Amsterdam Public Health Research Institute, Van der Boechorststraat 7, NL-1081, BT, Amsterdam, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo date, determinants of retirement timing have been studied separately within various disciplines, such as occupational health and economics. This narrative literature review explores the determinants of retirement timing in countries, and relevant domains among older workers from both an economic and occupational health perspective.

methodsA literature search was conducted using 11 databases. Longitudinal studies on determinants of retirement timing were included. Study inclusion criteria were as follows: full-text article written in English or Dutch, conducted in humans, main outcome was time until retirement (i.e. retirement date or retirement age), and longitudinal design. Next, the included articles were screened for hypotheses on retirement timing and these articles with hypotheses were subjected to a quality assessment. Determinants for retirement timing were classified into multiple domains by three researchers.

resultsThe literature search identified 20 articles. The determinants of retirement timing were classified into eight domains: demographic factors, health factors, social factors, social participation, work characteristics, financial factors, retirement preferences, and macro effects. In total, we identified 49 determinants, ranging from one (social, and retirement preferences) to 21 determinants (work characteristics) per domain.

conclusionsThe findings suggest that there is a wide range of determinants that influence retirement timing in modern industrialized countries and that these determinants differ between countries. We recommend that researchers include determinants from various domains when studying retirement timing, while taking into account a country's context.

Indexed as

Age FactorsDeveloped CountriesHumansLongitudinal StudiesRetirementTime FactorsCohort studiesEconomicsOccupational healthOlder workersPension

Identifiers

PMID30170592
PMCPMC6119306

What OpenQuestion 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 OpenQuestion graph.