Multimorbidity patterns in the German general population aged 40 years and over.
• Data were taken from a large nationally representative sample. • Five multimorbidity patterns were identified. • A relatively large group belonged to high morbidity class. • Gender differences were only apparent in the arthrosis/inflammatory/mental illnesses class. • Knowledge about multimorbidity...
| Publicado en: | Archives of Gerontology & Geriatrics Vol. 114 |
|---|---|
| Autores principales: | , , , |
| Formato: | research Journal Article |
| Publicado: |
Elsevier B.V.
Nov2023
|
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=171850144&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 171850144 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01674943 3HX jtl: Archives of Gerontology & Geriatrics issn: 01674943 maglogo: N pubinfo: dt: Nov2023 vid: 114 pid: 1004 pub: Elsevier B.V. artinfo: ui: 171850144 171850144 171850144 10.1016/j.archger.2023.105067 171850144 ppct: 1 formats: tig: atl: Multimorbidity patterns in the German general population aged 40 years and over. aug: au: Amirzada, Massuma Buczak-Stec, Elżbieta König, Hans-Helmut Hajek, André affil: Department of Health Economics and Health Services Research, University Medical Center Hamburg-Eppendorf, Hamburg Center for Health Economics, Martinistr. 52, 20246, Hamburg, Germany sug: subj: Comorbidity Classification Population Germany Population Health Age Factors Germany Human Male Female Adult Middle Age Aged Aged, 80 and Over Sex Factors Health Knowledge Health Care Costs Aging Surveys Structural Equation Modeling Chronic Disease Osteoarthritis Inflammation Mental Disorders Hypertension Metabolic Diseases Cardiovascular Diseases Relative Risk Confidence Intervals Sociodemographic Factors Health Behavior Life Style Adult: 19-44 years Middle Aged: 45-64 years Aged: 65+ years Aged, 80 & over Male Female ab: • Data were taken from a large nationally representative sample. • Five multimorbidity patterns were identified. • A relatively large group belonged to high morbidity class. • Gender differences were only apparent in the arthrosis/inflammatory/mental illnesses class. • Knowledge about multimorbidity patterns can assist in reducing healthcare costs. The aim of this study was to identify and describe multimorbidity patterns among middle-aged and older community-dwelling individuals in Germany. Moreover, we aimed to determine potential gender differences in multimorbidity patterns. We analysed data from the most recent (sixth) wave (2017) of the large nationally representative German Ageing Survey (DEAS). Altogether n = 6,554 individuals participated, mean age was 62.0 (ranging from 43 to 92 years). Latent Class Analysis was performed to identify multimorbidity patterns, based on 13 chronic conditions and diseases. Multimorbidity was defined as the presence of at least two chronic conditions. Altogether, 53.3% of individuals were multimorbid. We identified and clinically described five multimorbidity patterns: the relatively healthy class (45.1%), the high morbidity class (10.8%), the arthrosis/inflammatory/mental illnesses class (20.6%), the hypertension-metabolic illness class (21.7%), and the cardiovascular/cancer class (1.7%). Our analysis revealed that women compared to men have higher relative risk (IRR = 1.61, 95% CI 1.25–2.06) of being in the arthrosis/inflammatory/mental illnesses class, compared to the relatively healthy class. Furthermore, we found that, depending on which multimorbidity pattern individuals belong to, they differ greatly in terms of socio-demographic factors, health behaviour, and lifestyle factors. We showed that the many chronic diseases cluster in a non-random way. Five clinically meaningful multimorbidity patterns were identified. Gender differences were apparent only in one class, namely in the arthrosis/inflammatory/mental illnesses class. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
|---|