混淆
认知
体质指数
认知功能衰退
老年学
人口学
逻辑回归
心理学
睡眠剥夺对认知功能的影响
联想(心理学)
医学
痴呆
精神科
疾病
内科学
社会学
心理治疗师
作者
Breanna M Crane,Emma Nichols,Michelle C. Carlson,Jennifer A. Deal,Alden L. Gross
出处
期刊:The Journals of Gerontology
[Oxford University Press]
日期:2023-01-13
卷期号:78 (6): 988-996
被引量:1
标识
DOI:10.1093/gerona/glad015
摘要
Abstract Background Higher mid-life body mass index (BMI) is associated with lower late-life cognition. Associations between later-life BMI and cognition are less consistent; evidence suggests reverse causation may play a role. We aimed to characterize associations between BMI and cognition across a wide age range during mid- to late life (55–85 years) and examine whether associations vary by gender. Methods We used data from the Health and Retirement Study (HRS) (N = 39,153) to examine the association between BMI and 3 cognitive outcomes: cognitive level, cognitive decline, and cognitive impairment. We used a series of linear regression, mixed effects regression, and logistic regression models, adjusting for potential confounders. Results Higher BMI before age 65 (midlife) was associated with lower cognitive performance, faster rates of cognitive decline, and higher odds of cognitive impairment in late life. Averaging across analyses assessing associations between BMI measured before age 60 and late-life cognition, a 5-unit higher level of BMI was associated with a 0.26 point lower cognitive score. Beyond age 65, associations flipped, and higher BMI was associated with better late-life cognitive outcomes. Associations in both directions were stronger in women. Excluding those with BMI loss attenuated findings among women in older ages, supporting the reverse causation hypothesis. Conclusions In this sample, age 65 represented a critical turning point between mid- and late life for the association between BMI and cognition, which has important implications for recruitment strategies for studies focused on risk factors for late-life cognitive outcomes. Evidence of gender differences raises the need to further investigate plausible mechanisms.
科研通智能强力驱动
Strongly Powered by AbleSci AI