Trajectories of health-related quality of life across age cohorts: : a longitudinal analysis of the German population over 16 years

dc.contributor.authorKasinger, Christoph
dc.contributor.authorKriechel, Lisa
dc.contributor.authorHahm, Stefanie
dc.contributor.authorReinwarth, Anna C.
dc.contributor.authorStrauss, Bernhard
dc.contributor.authorBeutel, Manfred E.
dc.contributor.authorBrähler, Elmar
dc.contributor.authorAltweck, Laura
dc.date.accessioned2026-07-16T14:13:31Z
dc.date.issued2025
dc.description.abstractBackground Understanding the trajectories of health-related quality of life (HRQoL) across different age cohorts and sociodemographic factors is crucial for promoting healthy aging. This study aims to examine the course of physical and mental HRQoL over a 16-year period in a nationwide sample of the German population. Methods Data from the German Socio-Economic Panel spanning from 2002 to 2018 (N = 4111; female = 52.0%; age range = 18–81 years; agemean in 2002 = 45.65 years) was analyzed using latent growth curve modeling. Measures of mental and physical HRQoL were assessed using the SF-12 questionnaire. Sociodemographic variables including age, gender, region, income, education were examined as predictors of HRQoL trajectories. Findings The analysis revealed distinct trajectories for mental and physical HRQoL. Mental HRQoL showed a non-linear trend, peaking between the ages of 62–72, while physical HRQoL exhibited a linear decline with increasing age. Women consistently reported lower starting values for both mental and physical HRQoL across age cohorts. East Germans reported lower starting values for both dimensions of HRQoL compared to West Germans, although the gap in mental HRQoL narrowed over time. Higher income and education were associated with better HRQoL outcomes, particularly for physical HRQoL. Interpretation This study highlights the importance of considering age, gender, region, income, and education in understanding the trajectories of HRQoL. Target interventions for individuals with certain risk factors can contribute to enhance overall well-being in the population.en
dc.identifier.doihttps://doi.org/10.25358/openscience-15239
dc.identifier.urihttps://openscience.ub.uni-mainz.de/handle/20.500.12030/15260
dc.language.isoeng
dc.rightsCC-BY-4.0
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subject.ddc610 Medizinde
dc.subject.ddc610 Medical sciencesen
dc.titleTrajectories of health-related quality of life across age cohorts: : a longitudinal analysis of the German population over 16 yearsen
dc.typeZeitschriftenaufsatz
jgu.apc.netprice2387,63
jgu.apc.price2554,76
jgu.apc.taxrate7
jgu.apc.transformationcontractElsevier
jgu.dfg.year2025
jgu.identifier.uuid1dc834b2-d9b4-4747-8634-591ec9df0822
jgu.journal.titleSocial science & medicine
jgu.journal.volume306
jgu.nationalcurrency.eur2387,63
jgu.organisation.departmentFB 04 Medizin
jgu.organisation.nameJohannes Gutenberg-Universität Mainz
jgu.organisation.number2700
jgu.organisation.placeMainz
jgu.organisation.rorhttps://ror.org/023b0x485
jgu.pages.alternative117718
jgu.publisher.doi10.1016/j.socscimed.2025.117718
jgu.publisher.eissn1873-5347
jgu.publisher.nameElsevier
jgu.publisher.placeAmsterdam
jgu.publisher.year2025
jgu.rights.accessrightsopenAccess
jgu.subject.ddccode610
jgu.subject.dfgLebenswissenschaften
jgu.type.contenttypeScientific article
jgu.type.dinitypeArticleen_GB
jgu.type.resourceText
jgu.type.versionPublished version

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