Multimorbidity clusters and their contribution to well-being among the oldest old: Results based on a nationally representative sample in Germany.

AIM: Our aim was to identify multimorbidity clusters and, in particular, to examine their contribution to well-being outcomes among the oldest old in Germany. METHODS: Data were taken from the large nationally representative D80+ study including community-dwelling and institutionalized individuals a...

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Detalhes bibliográficos
Autores: Hajek A, Gyasi RM, Kostev K, Soysal P, Veronese N, Smith L, Jacob L, Oh H, Pengpid S, Peltzer K, König HH
Tipo de documento: artigo
Estado:Versão publicada
Data de publicação:2025
País:España
Recursos:Fundació Sant Joan de Déu
Repositório:r-FSJD. Repositorio Institucional de Producción Científica de la Fundació Sant Joan de Déu
OAI Identifier:oai:fsjd.fundanetsuite.com:p27318
Acesso em linha:https://fsjd.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=27318
Access Level:Acceso aberto
Palavra-chave:Depression
High morbidity
Latent class analysis
Life satisfaction
Loneliness
Mental health
Mental illness
Multimorbidity clusters
Multimorbidity patterns
Multiple chronic conditions
Oldest old
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spelling Multimorbidity clusters and their contribution to well-being among the oldest old: Results based on a nationally representative sample in Germany.Hajek AGyasi RMKostev KSoysal PVeronese NSmith LJacob LOh HPengpid SPeltzer KKönig HHDepressionHigh morbidityLatent class analysisLife satisfactionLonelinessMental healthMental illnessMultimorbidity clustersMultimorbidity patternsMultiple chronic conditionsOldest oldAIM: Our aim was to identify multimorbidity clusters and, in particular, to examine their contribution to well-being outcomes among the oldest old in Germany. METHODS: Data were taken from the large nationally representative D80+ study including community-dwelling and institutionalized individuals aged 80 years and over residing in Germany (n = 8,773). The mean age was 85.6 years (SD: 4.1). Based on 21 chronic conditions, latent class analysis was carried out to explore multimorbidity (=2 chronic conditions) clusters. Widely used tools were applied to quantify well-being outcomes. RESULTS: Approximately nine out of ten people aged 80 and over living in Germany were multimorbid. Four multimorbidity clusters were identified: relatively healthy class (30.2 %), musculoskeletal class (44.8 %), mental illness class (8.6 %), and high morbidity class (16.4 %). Being part of the mental disorders cluster was consistently linked to reduced well-being (in terms of low life satisfaction, high loneliness and lower odds of meaning in life), followed by membership in the high morbidity cluster. CONCLUSIONS: Four multimorbidity clusters were detected among the oldest old in Germany. Particularly belonging to the mental disorders cluster is consistently associated with low well-being, followed by belonging to the high morbidity cluster. This stresses the need for efforts to target such vulnerable groups, pending future longitudinal research.ELSEVIER IRELAND LTD2025info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttps://fsjd.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=27318ARCHIVES OF GERONTOLOGY AND GERIATRICSISSN: 01674943ISSNe: 18726976reponame:r-FSJD. Repositorio Institucional de Producción Científica de la Fundació Sant Joan de Déuinstname:Fundació Sant Joan de DéuInglésinfo:eu-repo/semantics/openAccessoai:fsjd.fundanetsuite.com:p273182026-05-27T12:37:41Z
dc.title.none.fl_str_mv Multimorbidity clusters and their contribution to well-being among the oldest old: Results based on a nationally representative sample in Germany.
title Multimorbidity clusters and their contribution to well-being among the oldest old: Results based on a nationally representative sample in Germany.
spellingShingle Multimorbidity clusters and their contribution to well-being among the oldest old: Results based on a nationally representative sample in Germany.
Hajek A
Depression
High morbidity
Latent class analysis
Life satisfaction
Loneliness
Mental health
Mental illness
Multimorbidity clusters
Multimorbidity patterns
Multiple chronic conditions
Oldest old
title_short Multimorbidity clusters and their contribution to well-being among the oldest old: Results based on a nationally representative sample in Germany.
title_full Multimorbidity clusters and their contribution to well-being among the oldest old: Results based on a nationally representative sample in Germany.
title_fullStr Multimorbidity clusters and their contribution to well-being among the oldest old: Results based on a nationally representative sample in Germany.
title_full_unstemmed Multimorbidity clusters and their contribution to well-being among the oldest old: Results based on a nationally representative sample in Germany.
title_sort Multimorbidity clusters and their contribution to well-being among the oldest old: Results based on a nationally representative sample in Germany.
dc.creator.none.fl_str_mv Hajek A
Gyasi RM
Kostev K
Soysal P
Veronese N
Smith L
Jacob L
Oh H
Pengpid S
Peltzer K
König HH
author Hajek A
author_facet Hajek A
Gyasi RM
Kostev K
Soysal P
Veronese N
Smith L
Jacob L
Oh H
Pengpid S
Peltzer K
König HH
author_role author
author2 Gyasi RM
Kostev K
Soysal P
Veronese N
Smith L
Jacob L
Oh H
Pengpid S
Peltzer K
König HH
author2_role author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Depression
High morbidity
Latent class analysis
Life satisfaction
Loneliness
Mental health
Mental illness
Multimorbidity clusters
Multimorbidity patterns
Multiple chronic conditions
Oldest old
topic Depression
High morbidity
Latent class analysis
Life satisfaction
Loneliness
Mental health
Mental illness
Multimorbidity clusters
Multimorbidity patterns
Multiple chronic conditions
Oldest old
description AIM: Our aim was to identify multimorbidity clusters and, in particular, to examine their contribution to well-being outcomes among the oldest old in Germany. METHODS: Data were taken from the large nationally representative D80+ study including community-dwelling and institutionalized individuals aged 80 years and over residing in Germany (n = 8,773). The mean age was 85.6 years (SD: 4.1). Based on 21 chronic conditions, latent class analysis was carried out to explore multimorbidity (=2 chronic conditions) clusters. Widely used tools were applied to quantify well-being outcomes. RESULTS: Approximately nine out of ten people aged 80 and over living in Germany were multimorbid. Four multimorbidity clusters were identified: relatively healthy class (30.2 %), musculoskeletal class (44.8 %), mental illness class (8.6 %), and high morbidity class (16.4 %). Being part of the mental disorders cluster was consistently linked to reduced well-being (in terms of low life satisfaction, high loneliness and lower odds of meaning in life), followed by membership in the high morbidity cluster. CONCLUSIONS: Four multimorbidity clusters were detected among the oldest old in Germany. Particularly belonging to the mental disorders cluster is consistently associated with low well-being, followed by belonging to the high morbidity cluster. This stresses the need for efforts to target such vulnerable groups, pending future longitudinal research.
publishDate 2025
dc.date.none.fl_str_mv 2025
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://fsjd.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=27318
url https://fsjd.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=27318
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv ELSEVIER IRELAND LTD
publisher.none.fl_str_mv ELSEVIER IRELAND LTD
dc.source.none.fl_str_mv ARCHIVES OF GERONTOLOGY AND GERIATRICS
ISSN: 01674943
ISSNe: 18726976
reponame:r-FSJD. Repositorio Institucional de Producción Científica de la Fundació Sant Joan de Déu
instname:Fundació Sant Joan de Déu
instname_str Fundació Sant Joan de Déu
reponame_str r-FSJD. Repositorio Institucional de Producción Científica de la Fundació Sant Joan de Déu
collection r-FSJD. Repositorio Institucional de Producción Científica de la Fundació Sant Joan de Déu
repository.name.fl_str_mv
repository.mail.fl_str_mv
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