Multimorbidity Profiles in German Centenarians: A Latent Class Analysis of Health Insurance Data.
Aged, 80 and over
Arthritis
/ epidemiology
Cerebrovascular Disorders
/ epidemiology
Dementia
/ epidemiology
Diabetes Complications
/ epidemiology
Diabetes Mellitus
/ epidemiology
Female
Germany
/ epidemiology
Heart Failure
/ epidemiology
Hospitalization
/ statistics & numerical data
Humans
Kidney Diseases
/ epidemiology
Latent Class Analysis
Long-Term Care
/ statistics & numerical data
Lung Diseases
/ epidemiology
Male
Multimorbidity
Myocardial Infarction
/ epidemiology
Peripheral Vascular Diseases
/ epidemiology
Rheumatic Diseases
/ epidemiology
Sex Distribution
health insurance data
health services
longevity
multimorbidity
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
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