Evidence map›Paper›PMID 39559874›Full record

ArticleThe journal of prevention of Alzheimer's disease2024

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.

S Huang, Z Zhao, S Wang, Y Xu, Z Wang, J Wang, H Wang, X Yu, X Lv

Abstract read
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Article in The journal of prevention of Alzheimer's disease, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

S HuangXiaozhen 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: lvxiaozhen@bjmu.edu.cn.
Z Zhao
S Wang
Y Xu
Z Wang
J Wang
H Wang
X Yu
X Lv

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAbnormal cognitive aging is closely related to dementia.

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

designA longitudinal cohort study.

settingParticipants were recruited from the Chinese Longitudinal Health Longevity Survey.

participantsA 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.

resultsFour 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.

conclusionA 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.

Indexed as

Body Mass IndexCognitive AgingExerciseAgedAged, 80 and overCardiovascular DiseasesChinaCognitive DysfunctionCohort StudiesDietFemaleFollow-Up StudiesHumansHypertensionLongitudinal StudiesMalecardiovascular healthCognitive agingg-formulagroup-based trajectory model

Identifiers

PMID39559874
PMCPMC11573857

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.