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异常认知老化的心血管健康指标的假设性干预:参数 g 公式在具有 12 年随访的 CLHLS 队列研究中的应用。

Hypothetical Interventions on Cardiovascular Health Metrics for Abnormal Cognitive Aging: An Application of the Parametric g-formula in the CLHLS Cohort Study with 12 Years Follow-Up.

机构信息

Xiaozhen Lv, Beijing Dementia Key Lab, Peking University Institute of Mental Health (Sixth Hospital), National Clinical Research Center for Mental Disorders, NHC Key Laboratory of Mental Health (Peking University), 51 Huayuan North Road, Haidian District, Beijing 100191, China, Email:

出版信息

J Prev Alzheimers Dis. 2024;11(6):1615-1625. doi: 10.14283/jpad.2024.143.

Abstract

BACKGROUND

Abnormal cognitive aging is closely related to dementia.

OBJECTIVES

This study aimed to estimate the effect of cardiovascular health (CVH) metrics on abnormal cognitive aging.

DESIGN

A longitudinal cohort study.

SETTING

Participants were recruited from the Chinese Longitudinal Health Longevity Survey.

PARTICIPANTS

A total of 3298 participants aged ≥65 years with normal cognitive performance at baseline were included.

MEASUREMENTS

Cognitive performance was measured by the Chinese version of the Mini-Mental State Examination (MMSE). CVH was assessed with six metrics, including hypertension, diabetes, exercise, body mass index (BMI), diet, and smoking. Group-based trajectory model was used to identify the trajectory groups of cognitive aging over 12 years (2002-2014 and 2005-2018). The parametric g-formula was applied to estimate the effect of each single six CVH metrics and their combinations on the 12-year cognitive aging trajectory.

RESULTS

Four trajectory groups of cognitive aging were identified: Stable-high (77.4%), Unstable (4.9%), Slow decline (11.1%), and Rapid decline (6.6%). Unstable, Slow decline, and Rapid decline trajectory groups were considered as abnormal cognitive aging (22.6%). Single interventions on hypertension, exercise, BMI, and diet could reduce the risk of abnormal cognitive aging. Moreover, the risk ratios of joint intervention on exercise, BMI, and diet for Unstable, Slow decline, and Rapid decline trajectory groups were 0.38 (95% CI: 0.30-0.48), 0.45 (95% CI: 0.37-0.54), and 0.3 (95% CI: 0.23-0.41), respectively.

CONCLUSION

A considerable proportion of the participants experienced abnormal cognitive aging during their aging process. Interventions on these CVH metrics (i.e., exercise, BMI, and diet), which are fairly practical and feasible for older adults, may be effective strategies for preventing abnormal cognitive aging.

摘要

背景

认知衰老异常与痴呆密切相关。

目的

本研究旨在评估心血管健康(CVH)指标对认知衰老异常的影响。

设计

纵向队列研究。

地点

参与者来自中国健康长寿纵向调查。

参与者

共纳入 3298 名基线认知正常的≥65 岁老年人。

测量

认知表现通过中文版简易精神状态检查(MMSE)进行评估。CVH 通过六项指标评估,包括高血压、糖尿病、运动、体重指数(BMI)、饮食和吸烟。使用基于群组的轨迹模型来确定 12 年内认知衰老的轨迹组(2002-2014 年和 2005-2018 年)。应用参数 g 公式估计每一项单独的 CVH 指标及其组合对 12 年认知衰老轨迹的影响。

结果

确定了 4 种认知衰老轨迹组:稳定高(77.4%)、不稳定(4.9%)、缓慢下降(11.1%)和快速下降(6.6%)。不稳定、缓慢下降和快速下降轨迹组被认为是认知衰老异常(22.6%)。单一干预高血压、运动、BMI 和饮食可降低认知衰老异常的风险。此外,运动、BMI 和饮食联合干预对不稳定、缓慢下降和快速下降轨迹组的风险比分别为 0.38(95%CI:0.30-0.48)、0.45(95%CI:0.37-0.54)和 0.3(95%CI:0.23-0.41)。

结论

相当一部分参与者在衰老过程中经历了认知衰老异常。针对这些 CVH 指标(即运动、BMI 和饮食)的干预措施,对老年人来说较为实际可行,可能是预防认知衰老异常的有效策略。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/025c/11573857/8e8625f34979/42414_2024_143_Fig1_HTML.jpg

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