Multimorbidity clusters and their contribution to well-being among the oldest old: Results based on a nationally representative sample in Germany.
Por:
Hajek A, Gyasi RM, Kostev K, Soysal P, Veronese N, Smith L, Jacob L., Hans Oh, Pengpid S, Peltzer K and König HH
Publicada:
1 mar 2025
Ahead of Print:
15 dic 2024
Resumen:
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.
Filiaciones:
Hajek A:
Department of Health Economics and Health Services Research, University Medical Center Hamburg-Eppendorf, Hamburg Center for Health Economics, Hamburg, Germany
Gyasi RM:
African Population and Health Research Center, Nairobi, Kenya
National Centre for Naturopathic Medicine, Faculty of Health, Southern Cross University, Lismore, NSW, Australia
Kostev K:
University Hospital Marburg, Philipps-University Marburg, Baldingerstraße, 35043 Marburg, Germany
Soysal P:
Department of Geriatric Medicine, Faculty of Medicine, Bezmialem Vakif University, Istanbul, Turkiye
Veronese N:
Geriatrics Section, Department of Internal Medicine, University of Palermo, Palermo, Italy
Smith L:
Centre for Health, Performance and Wellbeing, Anglia Ruskin University, Cambridge, UK
Jacob L.:
AP-HP, Université Paris Cité, Lariboisière-Fernand Widal Hospital, Department of Physical Medicine and Rehabilitation, Paris, France
Université Paris Cité, INSERM U1153, Epidemiology of Ageing and Neurodegenerative Diseases (EpiAgeing), Paris, France
Research and Development Unit, Parc Sanitari Sant Joan de Déu, CIBERSAM, ISCIII, Dr. Antoni Pujadas, 42 Sant Boi de Llobregat, Barcelona, Spain
Hans Oh:
Suzanne Dworak Peck School of Social Work, University of Southern California, Los Angeles, CA, United States
Pengpid S:
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
Peltzer K:
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
König HH:
Department of Health Economics and Health Services Research, University Medical Center Hamburg-Eppendorf, Hamburg Center for Health Economics, Hamburg, Germany
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