Department of Biobehavioral Nursing Science, College of Nursing, University of Illinois Chicago, Chicago, Illinois, USA.
Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, Illinois, USA.
Alzheimers Dement. 2024 Jan;20(1):472-482. doi: 10.1002/alz.13459. Epub 2023 Sep 7.
We aimed to identify profiles of modifiable, late-life lifestyle health behaviors related to subsequent maintenance of cognition and explore sociodemographics and health characteristics as effect modifiers.
Analyses used data from 715 older adults without baseline dementia from the Rush Memory and Aging Project and with lifestyle health behaviors (physical activity, cognitive activity, healthy diet, social activity) at baseline and ≥ 2 annual assessments of cognition. We used latent profile analysis to group participants based on behavior patterns and assessed change in cognition by group.
Three latent profiles were identified: high (n = 183), moderate (n = 441), and low (n = 91) engagement in health behaviors. Compared to high engagement, the moderate (mean difference [MD] = -0.02, 95% CI = [-0.03;-0.0002], p = 0.048) and low (MD = -0.06, 95% CI = [-0.08;-0.03], p < 0.0001) groups had faster annual rates of decline in global cognition, with no significant effects modifiers (vascular risk factors, apolipoprotein E [APOE] ε4, motor function).
Avoiding low levels of lifestyle health behaviors may help maintain cognition.
Latent profile analysis (LPA) captures lifestyle health behaviors associated with cognitive function. Such behavior include physical activity, cognitive activity, healthy diet, social activity. We used LPA to examine associations of behaviors and cognitive function over time. Older adults with low lifestyle health behaviors showed more rapid decline. To a lesser degree, so did those with moderate lifestyle health behaviors. Vascular conditions and risks, APOEε4, or motor function did not modify the effect.
我们旨在确定与认知后续维持相关的可改变的晚年生活方式健康行为特征，并探索社会人口统计学和健康特征作为效应修饰剂。
分析使用了来自 Rush 记忆和衰老项目的 715 名没有基线痴呆且在基线和至少 2 次年度认知评估时有生活方式健康行为（体育活动、认知活动、健康饮食、社会活动）的老年人的数据。我们使用潜在剖面分析根据行为模式对参与者进行分组，并评估按组的认知变化。
确定了三种潜在的特征：高度（n=183）、中度（n=441）和低度（n=91）参与健康行为。与高参与度相比，中度（平均差异 [MD] = -0.02，95%CI = [-0.03；-0.0002]，p=0.048）和低度（MD = -0.06，95%CI = [-0.08；-0.03]，p<0.0001）组的全球认知年度下降速度更快，没有显著的效应修饰因子（血管危险因素、载脂蛋白 E [APOE] ε4、运动功能）。
避免低水平的生活方式健康行为可能有助于保持认知。
潜在剖面分析（LPA）捕获与认知功能相关的生活方式健康行为。这些行为包括体育活动、认知活动、健康饮食、社会活动。我们使用 LPA 来检验行为和认知功能随时间的关联。生活方式健康行为水平较低的老年人认知下降速度更快。程度较轻的是那些生活方式健康行为中等的老年人。血管状况和风险、APOEε4 或运动功能并没有改变这种影响。
