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Genetic influences, lifestyle and psychosocial aspects in relation to metabolically healthy obesity and conversion to a metabolically unhealthy state
Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.ORCID iD: 0000-0002-8752-5250
Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Institute for Behavioral Genetics and Department of Psychology and Neuroscience, University of Colorado Boulder, USA.
School of Public Health (Shenzhen), Sun Yat‐Sen University, Shenzhen, China.
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2025 (English)In: Diabetes, obesity and metabolism, ISSN 1462-8902, E-ISSN 1463-1326, Vol. 27, no 1, p. 207-214Article in journal (Refereed) Published
Abstract [en]

Aims: About 10%–30% of individuals with obesity are metabolically healthy, but the specific characteristics of the metabolically healthy obesity (MHO) phenotype remain unclear. We aimed to examine how physical activity, education, depressive symptoms and genetic predisposition to obesity differ between individuals with MHO and those with metabolically unhealthy obesity (MUO), and whether these factors predict stability in MHO or conversion to a metabolically unhealthy state.

Materials and Methods: We retrieved data on 9809 individuals with obesity from the Health and Retirement Study collected between 2006 and 2016. We compared how physical activity, education, depressive symptoms and a polygenic score for higher body mass index (BMI) (PGSBMI) differed cross-sectionally between MHO and MUO using logistic regression. We then examined if the same factors predict conversion to a metabolically unhealthy state over 4 years in individuals with MHO.

Results: Individuals with MHO had higher physical activity (odds ratio [OR] = 0.81), higher education (OR = 0.83) and lower depressive symptoms (OR = 1.14) compared to those with MUO but did not differ in the PGSBMI. The associations were slightly attenuated in mutually adjusted models. None of the factors were associated with conversion from MHO to a metabolically unhealthy state. However, a higher PGSBMI indicated 24% lower risk of conversion to a metabolically unhealthy state (p = 0.07).

Conclusions: Physical activity, education and depressive symptoms differed between MHO and MUO, even when mutually adjusted for, but did not predict conversion from a metabolically healthy to unhealthy state. Although not statistically significant, the results indicated that those with genetically predicted high BMI are more likely to maintain MHO and not convert to a metabolically unhealthy state.

Place, publisher, year, edition, pages
John Wiley & Sons, 2025. Vol. 27, no 1, p. 207-214
Keywords [en]
body mass index, metabolically healthy obesity, obesity, population study
National Category
Geriatrics Public Health, Global Health and Social Medicine Nutrition and Dietetics Gerontology, specialising in Medical and Health Sciences Endocrinology and Diabetes
Research subject
Wellbeing in long-term health problems (WeLHP)
Identifiers
URN: urn:nbn:se:his:diva-24608DOI: 10.1111/dom.16004ISI: 001328566200001PubMedID: 39382007Scopus ID: 2-s2.0-85205840872OAI: oai:DiVA.org:his-24608DiVA, id: diva2:1904773
Funder
Karolinska InstituteForte, Swedish Research Council for Health, Working Life and Welfare, 2022-00672Loo 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, 2024-02197The Karolinska Institutet's Research Foundation, 2022-01718
Note

CC BY-NC 4.0

First published: 09 October 2024

Correspondence: Elsa Ojalehto Lindfors, Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, SE-1177 Stockholm, Sweden. Email: elsa.ojalehto@ki.se

Funding information: Strategic Research Program in Epidemiology (SFOepi) at Karolinska Institutet; The Swedish Research Council for Health, Working Life and Welfare, Grant/Award Number: 2022-00672; Loo and Hans Osterman's Foundation, Grant/Award Numbers: 2022-01222, 2023-01855, 2024-02197; Foundation for Geriatric Diseases at Karolinska Institutet, Grant/Award Numbers: 2022-01296, 2023-01854, 2024-02197; Karolinska Institutet's Research Foundation, Grant/Award Number: 2022-01718

Available from: 2024-10-10 Created: 2024-10-10 Last updated: 2025-09-29Bibliographically approved

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Dahl Aslan, Anna K.

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