Estimating trends in working life expectancy based on health insurance data from Germany - Challenges and advantages.
Educational inequality
Germany
Health insurance data
Time trend
Working life expectancy
Journal
SSM - population health
ISSN: 2352-8273
Titre abrégé: SSM Popul Health
Pays: England
ID NLM: 101678841
Informations de publication
Date de publication:
Sep 2022
Sep 2022
Historique:
received:
17
06
2022
revised:
17
08
2022
accepted:
19
08
2022
entrez:
12
9
2022
pubmed:
13
9
2022
medline:
13
9
2022
Statut:
epublish
Résumé
Against the backdrop of population aging and growing strain on pension systems, monitoring the development of Working Life Expectancy (WLE) is vital to assess whether the policies taken are effective. This is the first study investigating time trends and educational inequalities in WLE based on German health insurance data. The analyses are based on the data of the AOK Lower Saxony (N = 3,347,912) covering three time periods (2006-08, 2011-13, and 2016-18). WLE is defined as years spent in the labor force (i.e. in employment and unemployment) and was calculated for each age between 18 and 69 years for the three periods to depict changes over time using multistate life table analysis. Educational inequalities in 2011-13 are reported for two educational levels (8-11 years and 12-13 years of schooling). WLE increased in both sexes with increases being stronger among women. This holds irrespective of whether WLE at age 18 (35.8-38.3 years in men, 27.5-34.0 years in women) or the older working-age (e.g. at age 50 10.2-11.7 years in men, 7.8-10.5 years in men) is considered. Among women at all ages and men from their mid-20s onwards, WLE was higher among higher-educated individuals. Inequalities were most pronounced among women (e.g. Δ3.1 years in women, Δ1.3 years in men at age 50). The study supports previous research indicating that measures to extend working life are effective, but that noticeable inequalities in WLE exist. Health insurance data represent a valuable source for such research that has so far remained untapped. The data provide a suitable basis to investigate trends and inequalities in WLE. Future research should build on the strengths of the data by broadening the research towards a more comprehensive analysis of the development of WLE from a health perspective.
Identifiants
pubmed: 36091300
doi: 10.1016/j.ssmph.2022.101215
pii: S2352-8273(22)00194-X
pmc: PMC9450162
doi:
Types de publication
Journal Article
Langues
eng
Pagination
101215Informations de copyright
© 2022 The Authors.
Déclaration de conflit d'intérêts
None.
Références
Scand Actuar J. 1977;(1):1-20
pubmed: 12310789
Lancet Public Health. 2020 Jul;5(7):e395-e403
pubmed: 32619541
J Gerontol B Psychol Sci Soc Sci. 2018 Jan 11;73(2):302-313
pubmed: 26560805
Eur J Ageing. 2020 Dec 3;19(1):75-93
pubmed: 35241999
J Aging Health. 2016 Oct;28(7):1194-213
pubmed: 27590798
Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz. 2013 Mar;56(3):447-54
pubmed: 23334292
SSM Popul Health. 2020 May 11;11:100596
pubmed: 32462074
Scand J Work Environ Health. 2020 Jan 1;46(1):77-84
pubmed: 31419303
Int J Public Health. 2015 Dec;60(8):953-60
pubmed: 26446083
Scand J Work Environ Health. 2019 Jan 1;45(1):73-81
pubmed: 30176168
Scand J Work Environ Health. 2021 Jan 1;47(1):5-14
pubmed: 32869106
HSMHA Health Rep. 1971 Apr;86(4):347-54
pubmed: 5554262
Demography. 2017 Dec;54(6):2101-2123
pubmed: 29019034
Z Gerontol Geriatr. 2019 Feb;52(Suppl 1):52-61
pubmed: 30413944
Econ J (London). 2016 Oct;126:F184-F231
pubmed: 28736454
Gesundheitswesen. 2021 Nov;83(S 02):S77-S86
pubmed: 34695865