%0 Journal Article
%T Multimorbidity Profiles in German Centenarians: A Latent Class Analysis of Health Insurance Data
%A Adelheid Kuhlmey
%A Dagmar Dr£¿ger
%A Julia Neuwirth
%A Paul Gellert
%A Petra von Berenberg
%A Thomas Zahn
%J Journal of Aging and Health
%@ 1552-6887
%D 2019
%R 10.1177/0898264317737894
%X Objectives: 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. Method: 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. Results: 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.¡± Conclusion: 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
%K longevity
%K multimorbidity
%K health services
%K health insurance data
%U https://journals.sagepub.com/doi/full/10.1177/0898264317737894