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Age-dependent effects of body mass index across the adult life span on the risk of dementia: A cohort study with a genetic approach
Institute of Gerontology and Aging Research Network – Jönköping (ARN-J), School of Health and Welfare, Jönköping University, Sweden ; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.ORCID iD: 0000-0003-3605-7829
National Institute for Health Development, Tallinn, Estonia ; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.ORCID iD: 0000-0003-2735-7643
Department of Psychology, University of Southern California, Los Angeles, CA, United States ; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.ORCID iD: 0000-0002-1071-9970
Department of Psychology, University of California, Riverside, United States.ORCID iD: 0000-0001-6502-7173
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2020 (English)In: BMC Medicine, E-ISSN 1741-7015, Vol. 18, no 1, article id 131Article in journal (Refereed) Published
Abstract [en]

Background: While a high body mass index (BMI) in midlife is associated with higher risk of dementia, high BMI in late-life may be associated with lower risk. This study combined genetic designs with longitudinal data to achieve a better understanding of this paradox. Methods: We used longitudinal data from 22,156 individuals in the Swedish Twin Registry (STR) and 25,698 from the Health and Retirement Study (HRS). The STR sample had information about BMI from early adulthood through late-life, and the HRS sample from age 50 through late-life. Survival analysis was applied to investigate age-specific associations between BMI and dementia risk. To examine if the associations are influenced by genetic susceptibility to higher BMI, an interaction between BMI and a polygenic score for BMI (PGSBMI) was included in the models and results stratified into those with genetic predisposition to low, medium, and higher BMI. In the STR, co-twin control models were applied to adjust for familial factors beyond those captured by the PGSBMI. Results: At age 35-49, 5 units higher BMI was associated with 15% (95% CI 7-24%) higher risk of dementia in the STR. There was a significant interaction (p = 0.04) between BMI and the PGSBMI, and the association present only among those with genetic predisposition to low BMI (HR 1.38, 95% CI 1.08-1.78). Co-twin control analyses indicated genetic influences. After age 80, 5 units higher BMI was associated with 10-11% lower risk of dementia in both samples. There was a significant interaction between late-life BMI and the PGSBMI in the STR (p = 0.01), but not the HRS, with the inverse association present only among those with a high PGSBMI (HR 0.70, 95% CI 0.52-0.94). No genetic influences were evident from co-twin control models of late-life BMI. Conclusions: Not only does the association between BMI and dementia differ depending on age at BMI measurement, but also the effect of genetic influences. In STR, the associations were only present among those with a BMI in opposite direction of their genetic predisposition, indicating that the association between BMI and dementia across the life course might be driven by environmental factors and hence likely modifiable. © 2020 The Author(s).

Place, publisher, year, edition, pages
BioMed Central, 2020. Vol. 18, no 1, article id 131
Keywords [en]
Body mass index, Dementia, Life span, Longitudinal, Obesity paradox, Polygenic score, Twin design, adult, adulthood, age, aged, Article, body mass, cohort analysis, female, genetic predisposition, genetic susceptibility, human, lifespan, major clinical study, male, register, risk assessment, sensitivity analysis, survival analysis, very elderly
National Category
Gerontology, specialising in Medical and Health Sciences
Identifiers
URN: urn:nbn:se:his:diva-19508DOI: 10.1186/s12916-020-01600-2ISI: 000540830200001PubMedID: 32513281Scopus ID: 2-s2.0-85086296909OAI: oai:DiVA.org:his-19508DiVA, id: diva2:1533041
Funder
Forte, Swedish Research Council for Health, Working Life and Welfare
Note

CC BY 4.0

CC0 1.0

The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Available from: 2020-07-16 Created: 2021-03-03 Last updated: 2022-05-10Bibliographically approved

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Karlsson, Ida K.Dahl Aslan, Anna K.

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Karlsson, Ida K.Lehto, KelliGatz, MargaretReynolds, Chandra A.Dahl Aslan, Anna K.
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