Multimorbidity Profiles in German Centenarians: A Latent Class Analysis of Health Insurance Data.


Journal

Journal of aging and health
ISSN: 1552-6887
Titre abrégé: J Aging Health
Pays: United States
ID NLM: 8912686

Informations de publication

Date de publication:
04 2019
Historique:
pubmed: 20 12 2017
medline: 16 4 2020
entrez: 20 12 2017
Statut: ppublish

Résumé

Multimorbidity in centenarians is common; although investigations of the prevalence of morbidity in centenarians are accumulating, research on profiles of co-occurrence of morbidities is still sparse. Our aim was to explore profiles of comorbidities in centenarians. Health insurance data from 1,121 centenarians comprising inpatient and outpatient diagnoses from the past 5 years (2009-2013) were analyzed using latent class analysis with adjustments for sex, age, hospitalization, and long-term care. Four distinct comorbidity profiles emerged from the data: 36% of centenarians were categorized as "age-associated"; 18% had a variety of comorbidities but were not diabetic were labeled "multimorbid without diabetes"; 9% were labeled "multimorbid with diabetes"; and 36% "low morbidity." Patterns of comorbidities describe the complexity of geriatric multimorbidity more appropriately than an approach focused on a single disease. The profiles described by this specific research may inform clinicians and health care planners for the oldest old.

Identifiants

pubmed: 29254430
doi: 10.1177/0898264317737894
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Pagination

580-594

Auteurs

Paul Gellert (P)

1 Charité-Universitätsmedizin Berlin, Germany.

Petra von Berenberg (P)

1 Charité-Universitätsmedizin Berlin, Germany.

Thomas Zahn (T)

2 AOK Nordost, Berlin, Germany.

Julia Neuwirth (J)

2 AOK Nordost, Berlin, Germany.

Adelheid Kuhlmey (A)

1 Charité-Universitätsmedizin Berlin, Germany.

Dagmar Dräger (D)

1 Charité-Universitätsmedizin Berlin, Germany.

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Classifications MeSH