Multimorbidity clusters and their contribution to well-being among the oldest old: Results based on a nationally representative sample in Germany.
Journal: Archives of gerontology and geriatrics
Volume: 130
Issue:
Year of Publication:
Affiliated Institutions:
Department of Health Economics and Health Services Research, University Medical Center Hamburg-Eppendorf, Hamburg Center for Health Economics, Hamburg, Germany. Electronic address: a.hajek@uke.de.
African Population and Health Research Center, Nairobi, Kenya; National Centre for Naturopathic Medicine, Faculty of Health, Southern Cross University, Lismore, NSW, Australia.
University Hospital Marburg, Philipps-University Marburg, Baldingerstraße, Marburg, Germany.
Department of Geriatric Medicine, Faculty of Medicine, Bezmialem Vakif University, Istanbul, Turkiye.
Geriatrics Section, Department of Internal Medicine, University of Palermo, Palermo, Italy.
Centre for Health, Performance and Wellbeing, Anglia Ruskin University, Cambridge, UK.
AP-HP, Université Paris Cité, Lariboisière-Fernand Widal Hospital, Department of Physical Medicine and Rehabilitation, Paris, France; Université Paris Cité, INSERM U, Epidemiology of Ageing and Neurodegenerative Diseases (EpiAgeing), Paris, France; Research and Development Unit, Parc Sanitari Sant Joan de Déu, CIBERSAM, ISCIII, Dr. Antoni Pujadas, Sant Boi de Llobregat, Barcelona, Spain.
Suzanne Dworak Peck School of Social Work, University of Southern California, Los Angeles, CA, United States.
Department of Health Education and Behavioral Sciences, Faculty of Public Health, Mahidol University, Bangkok, Thailand; Department of Public Health, Sefako Makgatho Health Sciences University, Pretoria, South Africa; Department of Healthcare Administration, College of Medical and Health Science, Asia University, Taichung, Taiwan.
Department of Health Education and Behavioral Sciences, Faculty of Public Health, Mahidol University, Bangkok, Thailand; Department of Psychology, University of the Free State, Bloemfontein, South Africa; Department of Psychology, College of Medical and Health Science, Asia University, Taichung, Taiwan.
Department of Health Economics and Health Services Research, University Medical Center Hamburg-Eppendorf, Hamburg Center for Health Economics, Hamburg, Germany.
Abstract summary
Our aim was to identify multimorbidity clusters and, in particular, to examine their contribution to well-being outcomes among the oldest old in Germany.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.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.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.
Authors & Co-authors:
Hajek André A
Gyasi Razak M RM
Kostev Karel K
Soysal Pinar P
Veronese Nicola N
Smith Lee L
Jacob Louis L
Oh Hans H
Pengpid Supa S
Peltzer Karl K
König Hans-Helmut HH
Study Outcome
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