Evidence map›Paper›PMID 35409891›Full record

ArticleInternational journal of environmental research and public health2022

Exploring Health Trends Prior to State Pension Age for The Netherlands up to 2040.

Maaike van der Noordt, Johan J Polder, Marjanne H D Plasmans, Henk B M Hilderink, Dorly J H Deeg, Theo G van Tilburg, Suzan van der Pas, Fons van der Lucht

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Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Maaike van der NoordtDepartment of Health Knowledge Integration, Center for Health and Society, National Institute for Public Health and the Environment (RIVM), 3720 BA Bilthoven, The Netherlands.ORCID 0000-0001-9044-6628
Johan J PolderDepartment of Health Knowledge Integration, Center for Health and Society, National Institute for Public Health and the Environment (RIVM), 3720 BA Bilthoven, The Netherlands.
Marjanne H D PlasmansDepartment of Health Knowledge Integration, Center for Health and Society, National Institute for Public Health and the Environment (RIVM), 3720 BA Bilthoven, The Netherlands.
Henk B M HilderinkDepartment of Health Knowledge Integration, Center for Health and Society, National Institute for Public Health and the Environment (RIVM), 3720 BA Bilthoven, The Netherlands.
Dorly J H DeegDepartment of Epidemiology and Biostatistics, Amsterdam Public Health Research Institute, Amsterdam UMC, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, The Netherlands.ORCID 0000-0003-1131-6855
Theo G van TilburgDepartment of Sociology, Faculty of Social Sciences, Vrije Universiteit, 1081 HV Amsterdam, The Netherlands.ORCID 0000-0002-1005-6732
Suzan van der PasDepartment of Epidemiology and Biostatistics, Amsterdam Public Health Research Institute, Amsterdam UMC, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, The Netherlands.ORCID 0000-0002-6694-4325
Fons van der LuchtDepartment of Health Knowledge Integration, Center for Health and Society, National Institute for Public Health and the Environment (RIVM), 3720 BA Bilthoven, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn many Western countries, the state pension age is being raised to stimulate the extension of working lives. It is not yet well understood whether the health of older adults supports this increase. In this study, future health of Dutch adults aged 60 to 68 (i.e., the expected state pension age) is explored up to 2040.

methodsData are from the Dutch Health Interview Survey 1990-2017 (N ≈ 10,000 yearly) and the Dutch Public Health Monitor 2016 (N = 205,151). Health is operationalized using combined scores of self-reported health and limitations in mobility, hearing or seeing. Categories are: good, moderate and poor health. Based on historical health trends, two scenarios are explored: a stable health trend (neither improving nor declining) and an improving health trend.

resultsIn 2040, the health distribution among men aged 60-68 is estimated to be 63-71% in good, 17-28% in moderate and 9-12% in poor health. Among women, this is estimated to be 64-69%, 17-24% and 12-14%, respectively.

conclusionsThis study's explorations suggest that a substantial share of people will be in moderate or poor health and, thus, may have difficulty continuing working. Policy aiming at sustainable employability will, therefore, remain important, even in the case of the most favorable scenario.

Indexed as

PensionsAgedFemaleForecastingHealth SurveysHumansMaleNetherlandsSelf Reportextension of working livesforecasting healthfunctional limitationsself-rated health

Identifiers

PMID35409891
PMCPMC8998719

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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.