Interplay of body mass index and metabolic syndrome: association with physiological age from midlife to late-lifeShow others and affiliations
2024 (English)In: GeroScience, ISSN 2509-2715, Vol. 46, no 2, p. 2605-2617Article in journal (Refereed) Published
Abstract [en]
Obesity and metabolic syndrome (MetS) share common pathophysiological characteristics with aging. To better understand their interplay, we examined how body mass index (BMI) and MetS jointly associate with physiological age, and if the associations changed from midlife to late-life. We used longitudinal data from 1,825 Swedish twins. Physiological age was measured as frailty index (FI) and functional aging index (FAI) and modeled independently in linear mixed-effects models adjusted for chronological age, sex, education, and smoking. We assessed curvilinear associations of BMI and chronological age with physiological age, and interactions between BMI, MetS, and chronological age. We found a significant three-way interaction between BMI, MetS, and chronological age on FI (p-interaction = 0·006), not FAI. Consequently, we stratified FI analyses by age: < 65, 65–85, and ≥ 85 years, and modeled FAI across ages. Except for FI at ages ≥ 85, BMI had U-shaped associations with FI and FAI, where BMI around 26-28 kg/m2 was associated with the lowest physiological age. MetS was associated with higher FI and FAI, except for FI at ages < 65, and modified the BMI-FI association at ages 65–85 (p-interaction = 0·02), whereby the association between higher BMI levels and FI was stronger in individuals with MetS. Age modified the MetS-FI association in ages ≥ 85, such that it was stronger at higher ages (p-interaction = 0·01). Low BMI, high BMI, and metabolic syndrome were associated with higher physiological age, contributing to overall health status among older individuals and potentially accelerating aging.
Place, publisher, year, edition, pages
Springer Nature, 2024. Vol. 46, no 2, p. 2605-2617
Keywords [en]
Biological age, Frailty index, Metabolic health, Metabolic syndrome, Obesity
National Category
Geriatrics Gerontology, specialising in Medical and Health Sciences
Research subject
Wellbeing in long-term health problems (WeLHP)
Identifiers
URN: urn:nbn:se:his:diva-23494DOI: 10.1007/s11357-023-01032-9ISI: 001126625000002PubMedID: 38102440Scopus ID: 2-s2.0-85179665831OAI: oai:DiVA.org:his-23494DiVA, id: diva2:1822844
Funder
Forte, Swedish Research Council for Health, Working Life and Welfare, 2022-00672The Karolinska Institutet's Research Foundation, 2022-01718Karolinska Institute, 2022-01296NIH (National Institutes of Health), R01 AG060470NIH (National Institutes of Health), AG059329Swedish Research Council, 2016–03081NIH (National Institutes of Health), AG04563NIH (National Institutes of Health), AG10175Swedish Research Council, 825-2007-7460Swedish Research Council, 825-2009-6141NIH (National Institutes of Health), R01AG08861Axel and Margaret Ax:son Johnson FoundationVårdal Foundation
Note
CC BY 4.0 DEED
© 2023, The Author(s)
Published: 16 December 2023
Correspondence Address: P. Ler; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Nobels väg 12A, Solna, 171 65, Sweden; email: peggy.ler@ki.se
Open access funding provided by Karolinska Institute. This work was supported by 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); Loo and Hans Osterman’s Foundation (2022-01222, 2023-01855); the Foundation for Geriatric Diseases at Karolinska Institutet (2022-01296); the National Institutes of Health (NIH; R01 AG060470, AG059329), and the Swedish Research Council (Vetenskaprådet; 2016–03081). SATSA was supported by the NIH (grants AG04563 and AG10175), the MacArthur Foundation Research Network on Successful Aging, the Swedish Research Council for Working Life and Social Research (97:0147:1B, 2009-0795), and the Swedish Research Council (825-2007-7460 and 825-2009-6141). OCTO-Twin was supported by the NIH (R01AG08861). GENDER was supported by the MacArthur Foundation Research Network on Successful Aging, The Axel and Margaret Ax:son Johnson’s Foundation, The Swedish Council for Social Research, and the Swedish Foundation for Health Care Sciences and Allergy Research. The funders had no role in the study design, data collection, data analysis, interpretation, or writing of the manuscript.
2023-12-282023-12-282025-09-29Bibliographically approved