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Dementia risk by metabolic health and obesity in two prospective cohorts
Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, China.
University of Skövde, School of Health Sciences. University of Skövde, Digital Health Research (DHEAR). (Wellbeing in Long-term Health Problems (WeLHP))ORCID iD: 0000-0002-6305-8993
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2026 (English)In: BMC Medicine, E-ISSN 1741-7015, Vol. 24, no 1, article id 366Article in journal (Refereed) Published
Abstract [en]

Background: Midlife obesity is a well-established risk factor for dementia, whereas late-life obesity has been associated with no increased risk, or even a reduced risk in some studies. However, the joint associations of obesity (body mass index ≥ 30 kg/m2) and metabolic health phenotypes (defined by the presence of hyperglycemia, hypertension and dyslipidemia) with dementia risk are less explored, particularly with regard to age- and sex-related differences. Therefore, we investigated how obesity and metabolic health phenotypes jointly associate with dementia risk and whether this risk differs between midlife (≤ 65 years) and late-life (> 65 years), and sex.

Methods: We analysed data from 11,482 participants, aged 51 to 100 years, from the US Health and Retirement Study (HRS), and 13,068 participants, aged 45 to 90 years, from the Swedish Twin Registry (STR). Cox regression models were used to estimate dementia risk in relation to metabolically healthy obesity (MHO), metabolically unhealthy obesity (MUO), and metabolically unhealthy no obesity (MUNO), relative to metabolically healthy no obesity (reference). Models were adjusted for age, sex, smoking status, and education level. Analyses were stratified by midlife and late-life and conducted in the entire sample and separately by sex.

Results: Metabolically unhealthy status in midlife and late-life indicated increased dementia risk regardless of obesity status, reaching statistical significance for midlife MUNO in females in HRS (Hazard ratio (HR): 1.62, 95% confidence intervals (CI): 1.05–2.49) and in late-life MUNO for the full sample in STR (HR: 1.13, CI: 1.02–1.25) and males in the STR (HR: 1.22, CI: 1.04–1.42). The associations between MUO and dementia risk were not statistically significant, but trends suggested midlife MUO was associated with higher dementia risk. The associations between mid and late-life MHO with dementia risk were also not statistically significant, although the associations showed trends towards lower dementia risk.

Conclusions: Being metabolically unhealthy, especially in midlife, may be associated with increased dementia risk, regardless of obesity status. Mid- and late-life MHO showed no increased risk and suggested potential inverse associations. These findings underscore the importance of evaluating dementia risk in the context of obesity, metabolic health, age and sex simultaneously.

Place, publisher, year, edition, pages
Springer Nature, 2026. Vol. 24, no 1, article id 366
Keywords [en]
Obesity, Dementia, Metabolic health, Obesity and metabolic health phenotype
National Category
Public Health, Global Health and Social Medicine Gerontology, specialising in Medical and Health Sciences
Research subject
Wellbeing in long-term health problems (WeLHP)
Identifiers
URN: urn:nbn:se:his:diva-26869DOI: 10.1186/s12916-026-05002-8ISI: 001800261900001PubMedID: 42321773Scopus ID: 2-s2.0-105043308264OAI: oai:DiVA.org:his-26869DiVA, id: diva2:2084527
Funder
Karolinska InstituteNIH (National Institutes of Health), R01 AG089666Forte, Swedish Research Council for Health, Working Life and Welfare, 2022−00672The Karolinska Institutet's Research Foundation, 2022−01718The Karolinska Institutet's Research Foundation, 2024–02898Loo och Hans Ostermans Stiftelse för medicinsk forskning, 2022−01222Loo och Hans Ostermans Stiftelse för medicinsk forskning, 2023−01855Loo och Hans Ostermans Stiftelse för medicinsk forskning, 2024–02197Foundation for Geriatric Diseases at Karolinska Institutet, 2022−01296Foundation for Geriatric Diseases at Karolinska Institutet, 2023−01854Foundation for Geriatric Diseases at Karolinska Institutet, 2024–02116Swedish Research Council, 2016–03081
Note

CC BY 4.0

Correspondence to Ida K. Karlsson.

Open access funding provided by Karolinska Institute. This research was funded by the National Institutes of Health/National Institute on Aging (R01 AG089666), the Swedish Research Council for Health, Working Life and Welfare (Forte; 2022−00672); the Strategic Research Program in Epidemiology (SFOepi) at Karolinska Institutet, Karolinska Institutet’s Research Foundation (2022−01718, 2024–02898); Loo and Hans Osterman Foundation (2022−01222, 2023−01855, 2024–02197); the Foundation for Geriatric Diseases at Karolinska Institutet (2022−01296, 2023−01854, 2024–02116); and the Swedish Research Council (Vetenskapsrådet; 2016–03081).

Available from: 2026-07-06 Created: 2026-07-06 Last updated: 2026-07-06Bibliographically approved

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3132333435363734 of 356
CiteExportLink to record
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