Stability in BMI over time is associated with a better cognitive trajectory in older adults

Michal Schnaider Beeri; Amir Tirosh; Hung Mo Lin; Sapir Golan; Ethel Boccara; Mary Sano; Carolyn W. Zhu

doi:10.1002/alz.12525

Stability in BMI over time is associated with a better cognitive trajectory in older adults

Michal Schnaider Beeri, Amir Tirosh, Hung Mo Lin, Sapir Golan, Ethel Boccara, Mary Sano, Carolyn W. Zhu

Research output: Contribution to journal › Article › peer-review

22 Scopus citations

Abstract

Objective: Evidence on simultaneous changes in body mass index (BMI) and cognitive decline, which better reflect the natural course of both health phenomena, is limited. Methods: We capitalized on longitudinal data from 15,977 initially non-demented elderly from the Alzheimer's Disease Centers followed for 5 years on average. Changes in BMI were defined as (1) last minus first BMI, (2) mean of all follow-up BMIs minus first BMI, and (3) standard deviation of BMI change from baseline and all follow-up visits (representing variability). Results: Participants with significant changes in BMI (increase or decrease of ≥5%), or who had greater variability in BMI, had faster cognitive decline. This pattern was consistent irrespective of normal (BMI < 25; N = 5747), overweight (25 ≤ BMI < 30; N = 6302), or obese (BMI ≥ 30; N = 3928) BMI at baseline. Conclusions: Stability in BMI predicts better cognitive trajectories suggesting clinical value in tracking BMI change, which is simple to measure, and may point to individuals whose cognition is declining.

Original language	English
Pages (from-to)	2131-2139
Number of pages	9
Journal	Alzheimer's and Dementia
Volume	18
Issue number	11
DOIs	https://doi.org/10.1002/alz.12525
State	Published - Nov 2022
Externally published	Yes

Bibliographical note

Publisher Copyright:
© 2022 The Authors. Alzheimer's & Dementia published by Wiley Periodicals LLC on behalf of Alzheimer's Association.

Funding

National Institute on Aging (NIA) P50 AG005138 AG016976 P30 AG066514 for Mary Sano, and R01 AG034087, R01 AG053446, R01 AG051545, R01 AG061093, and AG043878 for Michal Schnaider Beeri. Mary Sano and Carolyn W. Zhu also are supported by the Department of Veterans Affairs, Veterans Health Administration. The views expressed in this article are those of the authors and do not necessarily represent the views of the Department of Veterans Affairs. National Institute on Aging (NIA) P50 AG005138 AG016976 P30 AG066514 for Mary Sano, and R01 AG034087, R01 AG053446, R01 AG051545, R01 AG061093, and AG043878 for Michal Schnaider Beeri. Mary Sano and Carolyn W. Zhu also are supported by the Department of Veterans Affairs, Veterans Health Administration. The views expressed in this article are those of the authors and do not necessarily represent the views of the Department of Veterans Affairs.

Funders	Funder number
National Institute on Aging	AG043878, P30AG066514, R01 AG061093, R01 AG034087, R01 AG051545, R01 AG053446, P50 AG005138 AG016976 P30 AG066514
U.S. Department of Veterans Affairs
Health Services Research and Development

Keywords

Cognitive decline
body mass index
older adults
stability

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1002/alz.12525

Cite this

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title = "Stability in BMI over time is associated with a better cognitive trajectory in older adults",

abstract = "Objective: Evidence on simultaneous changes in body mass index (BMI) and cognitive decline, which better reflect the natural course of both health phenomena, is limited. Methods: We capitalized on longitudinal data from 15,977 initially non-demented elderly from the Alzheimer's Disease Centers followed for 5 years on average. Changes in BMI were defined as (1) last minus first BMI, (2) mean of all follow-up BMIs minus first BMI, and (3) standard deviation of BMI change from baseline and all follow-up visits (representing variability). Results: Participants with significant changes in BMI (increase or decrease of ≥5%), or who had greater variability in BMI, had faster cognitive decline. This pattern was consistent irrespective of normal (BMI < 25; N = 5747), overweight (25 ≤ BMI < 30; N = 6302), or obese (BMI ≥ 30; N = 3928) BMI at baseline. Conclusions: Stability in BMI predicts better cognitive trajectories suggesting clinical value in tracking BMI change, which is simple to measure, and may point to individuals whose cognition is declining.",

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note = "Publisher Copyright: {\textcopyright} 2022 The Authors. Alzheimer's & Dementia published by Wiley Periodicals LLC on behalf of Alzheimer's Association.",

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doi = "10.1002/alz.12525",

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AU - Boccara, Ethel

AU - Sano, Mary

AU - Zhu, Carolyn W.

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N2 - Objective: Evidence on simultaneous changes in body mass index (BMI) and cognitive decline, which better reflect the natural course of both health phenomena, is limited. Methods: We capitalized on longitudinal data from 15,977 initially non-demented elderly from the Alzheimer's Disease Centers followed for 5 years on average. Changes in BMI were defined as (1) last minus first BMI, (2) mean of all follow-up BMIs minus first BMI, and (3) standard deviation of BMI change from baseline and all follow-up visits (representing variability). Results: Participants with significant changes in BMI (increase or decrease of ≥5%), or who had greater variability in BMI, had faster cognitive decline. This pattern was consistent irrespective of normal (BMI < 25; N = 5747), overweight (25 ≤ BMI < 30; N = 6302), or obese (BMI ≥ 30; N = 3928) BMI at baseline. Conclusions: Stability in BMI predicts better cognitive trajectories suggesting clinical value in tracking BMI change, which is simple to measure, and may point to individuals whose cognition is declining.

AB - Objective: Evidence on simultaneous changes in body mass index (BMI) and cognitive decline, which better reflect the natural course of both health phenomena, is limited. Methods: We capitalized on longitudinal data from 15,977 initially non-demented elderly from the Alzheimer's Disease Centers followed for 5 years on average. Changes in BMI were defined as (1) last minus first BMI, (2) mean of all follow-up BMIs minus first BMI, and (3) standard deviation of BMI change from baseline and all follow-up visits (representing variability). Results: Participants with significant changes in BMI (increase or decrease of ≥5%), or who had greater variability in BMI, had faster cognitive decline. This pattern was consistent irrespective of normal (BMI < 25; N = 5747), overweight (25 ≤ BMI < 30; N = 6302), or obese (BMI ≥ 30; N = 3928) BMI at baseline. Conclusions: Stability in BMI predicts better cognitive trajectories suggesting clinical value in tracking BMI change, which is simple to measure, and may point to individuals whose cognition is declining.

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Stability in BMI over time is associated with a better cognitive trajectory in older adults

Abstract

Bibliographical note

Funding

Keywords

UN SDGs

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