Social and lifestyle factors associated with the risk of developing multimorbidity in middle-aged and older adults

Background: Previous studies have identified several determinants of multimorbidity, but social factors remain unclear. Therefore, we aimed to explore the association between social and lifestyle factors and the risk of developing multimorbidity in middle-aged and older population from the United Ki...

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Detalles Bibliográficos
Autores: González Beltrán, Damián, Yévenes Briones, Humberto Alejandro, Vázquez Fernández, Aitana, Lana, Alberto, López García, Esther, Caballero Díaz, Francisco Félix
Tipo de recurso: artículo
Fecha de publicación:2026
País:España
Institución:Universidad Autónoma de Madrid
Repositorio:Biblos-e Archivo. Repositorio Institucional de la UAM
Idioma:inglés
OAI Identifier:oai:dnet:biblosearchi::c306db72a30fd955b4719b48658a8b70
Acceso en línea:https://hdl.handle.net/10486/756840
https://dx.doi.org/10.1016/j.archger.2026.106212
Access Level:acceso abierto
Palabra clave:Multimorbidity
Social factors
Lifestyle behaviours
Middle-aged
Older adults
Medicina
Descripción
Sumario:Background: Previous studies have identified several determinants of multimorbidity, but social factors remain unclear. Therefore, we aimed to explore the association between social and lifestyle factors and the risk of developing multimorbidity in middle-aged and older population from the United Kingdom. Methods: This prospective study uses data from the UK Biobank cohort, comprising 407,115 participants with multimorbidity free at baseline, recruited from 2006 to 2010 and followed up until May 31, 2022. Multimorbidity was defined as having two or more chronic diseases. Cox proportional hazards models were conducted to analyse the association between social and lifestyle factors and the risk of developing multimorbidity, adjusting for sociodemographic and anthropometric characteristics. Results: A total of 33,794 participants developed multimorbidity during a median follow-up of 13.2 years. The baseline mean age was 56.2 years (SD = 8.08), and 54.6 % of participants were women. In the fully adjusted models, loneliness (HR = 1.30; 95 % CI = 1.25–1.36), social isolation (HR = 1.15; 95 % CI = 1.11–1.19), previous (HR = 1.25; 95 % CI = 1.22–1.28) and current smokers (HR = 2.10; 95 % CI = 2.04–2.17), non-optimal sleep duration (HR = 1.23; 95 % CI = 1.20–1.26), high sedentary lifestyle (HR = 1.22; 95 % CI = 1.19–1.25), and high meat intake (HR = 1.09; 95 % CI = 1.06–1.11) were associated with an increased risk of incident multimorbidity. Conclusion: Loneliness, social isolation and lifestyle factors contribute to the risk of developing multimorbidity. This study emphasizes the importance of adopting a comprehensive approach that considers social and lifestyle factors as a primary predictor of multimorbidity