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Longitudinal body weight dynamics in relation to cognitive decline over two decades: A prospective cohort study

Objective The aim of this study was to investigate the associations of body weight change (BWC) and body weight variability (BWV) with changes in cognitive function. Methods In 10,340 Health and Retirement Study participants (mean age: 68.0 years), body weight was reported biennially from 1993/1994...

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Published in:Obesity (Silver Spring, Md.) Md.), 2023-03, Vol.31 (3), p.852-860
Main Authors: Zhou, Tianjing, Chen, Hui, Huang, Yuhui, Wang, Binghan, Zheng, Yan, Wang, Liang, Rong, Shuang, Ma, Yuan, Yuan, Changzheng
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container_end_page 860
container_issue 3
container_start_page 852
container_title Obesity (Silver Spring, Md.)
container_volume 31
creator Zhou, Tianjing
Chen, Hui
Huang, Yuhui
Wang, Binghan
Zheng, Yan
Wang, Liang
Rong, Shuang
Ma, Yuan
Yuan, Changzheng
description Objective The aim of this study was to investigate the associations of body weight change (BWC) and body weight variability (BWV) with changes in cognitive function. Methods In 10,340 Health and Retirement Study participants (mean age: 68.0 years), body weight was reported biennially from 1993/1994 to 2016, and cognitive function was measured biennially from 1998 to 2016. We calculated BWC and BWV as the slope and root‐mean‐square error by regressing body weight on time for each individual. BWC was categorized by quintiles (Q): stable weight (Q2 to Q4), weight loss (Q1), and weight gain (Q5). BWV was categorized by tertiles. We used linear mixed regression models to assess associations with cognitive change. Results Compared with stable weight (median: 0 kg/y), weight loss (median: −1.3 kg/y) predicted faster cognitive decline as demonstrated by mean difference of −0.023 (95% CI: −0.027 to −0.019) in cognitive change z score per year, whereas weight gain (median: 1 kg/y) was related to slower cognitive decline (β = 0.006; 95% CI: 0.003 to 0.009). Larger BWV was also associated with faster cognitive decline (β comparing the top with bottom tertile = −0.003; 95% CI: −0.006 to −0.0002). Similar associations were observed for episodic and working memory. Conclusions Weight loss and large BWV over a long time independently predicted faster cognitive decline in middle‐aged and older adults, underscoring the importance of long‐term dynamic body weight monitoring.
doi_str_mv 10.1002/oby.23671
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Methods In 10,340 Health and Retirement Study participants (mean age: 68.0 years), body weight was reported biennially from 1993/1994 to 2016, and cognitive function was measured biennially from 1998 to 2016. We calculated BWC and BWV as the slope and root‐mean‐square error by regressing body weight on time for each individual. BWC was categorized by quintiles (Q): stable weight (Q2 to Q4), weight loss (Q1), and weight gain (Q5). BWV was categorized by tertiles. We used linear mixed regression models to assess associations with cognitive change. Results Compared with stable weight (median: 0 kg/y), weight loss (median: −1.3 kg/y) predicted faster cognitive decline as demonstrated by mean difference of −0.023 (95% CI: −0.027 to −0.019) in cognitive change z score per year, whereas weight gain (median: 1 kg/y) was related to slower cognitive decline (β = 0.006; 95% CI: 0.003 to 0.009). Larger BWV was also associated with faster cognitive decline (β comparing the top with bottom tertile = −0.003; 95% CI: −0.006 to −0.0002). Similar associations were observed for episodic and working memory. Conclusions Weight loss and large BWV over a long time independently predicted faster cognitive decline in middle‐aged and older adults, underscoring the importance of long‐term dynamic body weight monitoring.</description><identifier>ISSN: 1930-7381</identifier><identifier>EISSN: 1930-739X</identifier><identifier>DOI: 10.1002/oby.23671</identifier><identifier>PMID: 36782381</identifier><language>eng</language><publisher>United States: Blackwell Publishing Ltd</publisher><subject>Age ; Aged ; Body mass index ; Body Weight ; Cognitive ability ; Cognitive Dysfunction ; Cohort analysis ; Dementia ; Education ; Family income ; Humans ; Longitudinal Studies ; Memory ; Middle Aged ; Older people ; Overweight ; Prospective Studies ; Weight control ; Weight Gain ; Weight Loss</subject><ispartof>Obesity (Silver Spring, Md.), 2023-03, Vol.31 (3), p.852-860</ispartof><rights>2023 The Obesity Society.</rights><rights>Copyright Blackwell Publishing Ltd. 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Methods In 10,340 Health and Retirement Study participants (mean age: 68.0 years), body weight was reported biennially from 1993/1994 to 2016, and cognitive function was measured biennially from 1998 to 2016. We calculated BWC and BWV as the slope and root‐mean‐square error by regressing body weight on time for each individual. BWC was categorized by quintiles (Q): stable weight (Q2 to Q4), weight loss (Q1), and weight gain (Q5). BWV was categorized by tertiles. We used linear mixed regression models to assess associations with cognitive change. Results Compared with stable weight (median: 0 kg/y), weight loss (median: −1.3 kg/y) predicted faster cognitive decline as demonstrated by mean difference of −0.023 (95% CI: −0.027 to −0.019) in cognitive change z score per year, whereas weight gain (median: 1 kg/y) was related to slower cognitive decline (β = 0.006; 95% CI: 0.003 to 0.009). Larger BWV was also associated with faster cognitive decline (β comparing the top with bottom tertile = −0.003; 95% CI: −0.006 to −0.0002). Similar associations were observed for episodic and working memory. 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source Wiley-Blackwell Read & Publish Collection
subjects Age
Aged
Body mass index
Body Weight
Cognitive ability
Cognitive Dysfunction
Cohort analysis
Dementia
Education
Family income
Humans
Longitudinal Studies
Memory
Middle Aged
Older people
Overweight
Prospective Studies
Weight control
Weight Gain
Weight Loss
title Longitudinal body weight dynamics in relation to cognitive decline over two decades: A prospective cohort study
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