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Arshadipour, A. ; Thorand, B. ; Linkohr, B. ; Rospleszcz, S. ; Ladwig, K.-H. ; Heier, M. ; Peters, A.

Impact of prenatal and childhood adversity effects around World War II on multimorbidity: Results from the KORA-Age study.

BMC Geriatr. 22:115 (2022)
Publ. Version/Full Text Research data DOI PMC
Open Access Gold
Creative Commons Lizenzvertrag
BACKGROUND: While risk factors for age-related diseases may increase multimorbidity (MM), early life deprivation may also accelerate the development of chronic diseases and MM. METHODS: This study explores the prevalence and pattern of MM in 65-71 year-old individuals born before, during, and after World War II in Southern Germany based on two large cross-sectional KORA (Cooperative Health Research in the Region of Augsburg) -Age studies in 2008/9 and 2016. MM was defined as having at least two chronic diseases, and birth periods were classified into five phases: pre-war, early war, late war, famine, and after the famine period. Logistic regression models were used to analyze the effect of the birth phases on MM with adjustment for sociodemographic and lifestyle risk factors. Furthermore, we used agglomerative hierarchical clustering to investigate the co-occurrence of diseases. RESULTS: Participants born during the late war phase had the highest prevalence of MM (62.2%) and single chronic diseases compared to participants born during the other phases. Being born in the late war phase was significantly associated with a higher odds of MM (OR = 1.83, 95% CI: 1.15-2.91) after adjustment for sociodemographic and lifestyle factors. In women, the prevalence of joint, gastrointestinal, eye diseases, and anxiety was higher, while heart disease, stroke, and diabetes were more common in men. Moreover, three main chronic disease clusters responsible for the observed associations were identified as: joint and psychosomatic, cardiometabolic and, other internal organ diseases. CONCLUSIONS: Our findings imply that adverse early-life exposure may increase the risk of MM in adults aged 65-71 years. Moreover, identified disease clusters are not coincidental and require more investigation.
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Publication type Article: Journal article
Document type Scientific Article
Corresponding Author
Keywords Agglomerative Hierarchical Clustering ; Chronic Disease ; Geriatrics ; Logistic Regression ; Machine Learning ; Multimorbidity; Association; Disability; Index
e-ISSN 1471-2318
Journal BMC Geriatrics
Quellenangaben Volume: 22, Issue: 1, Pages: , Article Number: 115 Supplement: ,
Publisher BioMed Central
Publishing Place Campus, 4 Crinan St, London N1 9xw, England
Non-patent literature Publications
Reviewing status Peer reviewed
Institute(s) Institute of Epidemiology II (EPI2)
Grants German Federal Ministry of Education and Research
Helmholtz Zentrum Munchen German Research Center for Environmental Health by the German Federal Ministry of Education and Research (BMBF) State Bavaria
Projekt DEAL