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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

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 d...

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Autores principales: Karlsson, Ida K., Lehto, Kelli, Gatz, Margaret, Reynolds, Chandra A., Dahl Aslan, Anna K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7282125/
https://www.ncbi.nlm.nih.gov/pubmed/32513281
http://dx.doi.org/10.1186/s12916-020-01600-2
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author Karlsson, Ida K.
Lehto, Kelli
Gatz, Margaret
Reynolds, Chandra A.
Dahl Aslan, Anna K.
author_facet Karlsson, Ida K.
Lehto, Kelli
Gatz, Margaret
Reynolds, Chandra A.
Dahl Aslan, Anna K.
author_sort Karlsson, Ida K.
collection PubMed
description 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 (PGS(BMI)) 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 PGS(BMI). 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 PGS(BMI), 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 PGS(BMI) in the STR (p = 0.01), but not the HRS, with the inverse association present only among those with a high PGS(BMI) (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.
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spelling pubmed-72821252020-06-10 Age-dependent effects of body mass index across the adult life span on the risk of dementia: a cohort study with a genetic approach Karlsson, Ida K. Lehto, Kelli Gatz, Margaret Reynolds, Chandra A. Dahl Aslan, Anna K. BMC Med Research Article 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 (PGS(BMI)) 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 PGS(BMI). 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 PGS(BMI), 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 PGS(BMI) in the STR (p = 0.01), but not the HRS, with the inverse association present only among those with a high PGS(BMI) (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. BioMed Central 2020-06-09 /pmc/articles/PMC7282125/ /pubmed/32513281 http://dx.doi.org/10.1186/s12916-020-01600-2 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. 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.
spellingShingle Research Article
Karlsson, Ida K.
Lehto, Kelli
Gatz, Margaret
Reynolds, Chandra A.
Dahl Aslan, Anna K.
Age-dependent effects of body mass index across the adult life span on the risk of dementia: a cohort study with a genetic approach
title Age-dependent effects of body mass index across the adult life span on the risk of dementia: a cohort study with a genetic approach
title_full Age-dependent effects of body mass index across the adult life span on the risk of dementia: a cohort study with a genetic approach
title_fullStr Age-dependent effects of body mass index across the adult life span on the risk of dementia: a cohort study with a genetic approach
title_full_unstemmed Age-dependent effects of body mass index across the adult life span on the risk of dementia: a cohort study with a genetic approach
title_short Age-dependent effects of body mass index across the adult life span on the risk of dementia: a cohort study with a genetic approach
title_sort age-dependent effects of body mass index across the adult life span on the risk of dementia: a cohort study with a genetic approach
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7282125/
https://www.ncbi.nlm.nih.gov/pubmed/32513281
http://dx.doi.org/10.1186/s12916-020-01600-2
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