Evidence map›Paper›PMID 42016598›Full record

ArticleInnovation in aging2026

Linking health-related behaviors to quality of life in older adults: a latent class analysis.

Richard Felsinger, Judit Simon, Gerald Haidinger, Michael Weber, Susanne Mayer

Abstract read
In one paragraph

Article in Innovation in aging, 2026. 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

5 authors.

Richard FelsingerDepartment of Social and Preventive Medicine, Center for Public Health, Medical University of Vienna, Vienna, Austria.ORCID https://orcid.org/0000-0002-7173-4218
Judit SimonDepartment of Health Economics, Center for Public Health, Medical University of Vienna, Vienna, Austria.
Gerald HaidingerDepartment of Social and Preventive Medicine, Center for Public Health, Medical University of Vienna, Vienna, Austria.
Michael WeberDepartment of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria.
Susanne MayerDepartment of Health Economics, Center for Public Health, Medical University of Vienna, Vienna, Austria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Objectives: Life expectancy and healthy life years diverge considerably in Austria, and variation in quality of life (QoL) among older people cannot be fully explained by sociodemographic and health-related characteristics. We aimed to identify groups of older adults with underlying behavioral and attitudinal patterns and their associations with QoL. Research Design and Methods: Latent class analysis was performed on cross-sectional data, including QoL (WHOQOL-BREF) from the 2019 Austrian Health Interview Survey (3,995 individuals aged 65+) to identify stable patterns of health behaviors associated with QoL. Variables included lifestyle factors and healthcare use. Class differences were assessed with logistic regression analyses. Results: Four distinct health behavioral classes emerged. Compared with the classes "healthy-consistent-positive" (18%; healthy lifestyle, consistent preventive behavior, positive health system attitudes) and "healthy-inconsistent-positive" (25%; healthy lifestyle, inconsistent preventive behavior, lowest vaccination probabilities, positive health system attitudes), both the class with an unhealthy lifestyle, inconsistent preventive behavior and negative health system attitudes ("unhealthy-inconsistent-negative"; 17%) and the class representing a moderately healthy lifestyle with low physical activities, lower prevention but positive health system attitudes ("moderately healthy-moderately consistent-positive"; 41%) were associated with worse QoL in all domains. Classes also differed in sociodemographic characteristics and activity limitations. Discussion and Implications: Most older Austrian adults were predicted to be in classes with suboptimal health behaviors associated with lower QoL. Interventions should reflect the specific characteristics of these disadvantaged groups. To reach the healthy-inconsistent-positive class, vaccination programs should target younger, healthy-living older adults.

Indexed as

Healthcare useLifestylePreventive behavior

Identifiers

PMID42016598
PMCPMC13092376

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.