Combined Factors for Predicting Cognitive Impairment in Elderly Population Aged 75 Years and Older: From a Behavioral Perspective.
Combined Factors for Predicting Cognitive Impairment in Elderly Population Aged 75 Years and Older: From a Behavioral Perspective.
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预测75岁及以上老年人认知障碍的综合因素
DOI：
10.3389/fpsyg.2020.02217
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发表时间：
2020
影响因子：
3.8
通讯作者：
Hou X
中科院分区：
文献类型：
--
作者：
Yan Z;Zou X;Hou X
为了揭示可能有助于保持或损害认知状态的风险和保护因素的综合作用，这项前瞻性队列研究系统地调查了广西纵向队列（GLC）数据集中75岁及以上老年人的一组因素。GLC在两年内对630名高龄老人进行了两次跟踪调查，并将在未来四年内继续进行两次跟踪调查。在基线老年评估时，社会人口统计学信息（例如，通过在线访谈记录受试者的健康状况（包括教育、普通话、婚姻和收入）、身体状况（身体质量指数（BMI）、慢性疾病/药物）、生活方式因素（吸烟、饮酒和锻炼）和自评心理健康（自我护理、幸福感、焦虑）。随访2年，采用个人访谈法进行简易精神状态检查（MMSE）和记忆力测验。MMSE的表现被用来代表响应者的认知状态，基于20的截断点将响应者分为认知障碍组和正常组。观察到15个分层因素的年龄相关认知下降趋势，但效应量较小（R方：0.001-0.15）。在调整其他混杂变量后，通过多变量分析，暴露或不暴露因素（记忆，自我护理，运动，收入，教育和识字）的几率对认知障碍有显着不同的影响。通过逐步多元Logistic回归分析，将以下12个因素/指标整合为认知障碍的预测因素：性别，身体健康因素（BMI，慢性疾病），社会经济和生活方式因素（教育，识字，普通话，婚姻，收入和运动），心理健康因素（记忆，自我护理认知和焦虑）。并对相关的临床及护理应用进行了讨论。
To unravel the combined effect of risk and protective factors that may contribute to preserve or impair cognitive status, this prospective cohort study systematically investigated a cluster of factors in elders aged 75 years and older from Guangxi Longitudinal Cohort (GLC) dataset. GLC has tracked 630 oldest-elders for two times within 2 years and will continue to follow two times in the next 4 years. At baseline geriatric assessment, sociodemographic information (e.g., education, Mandarin, marriage, and income), physical status [body mass index (BMI), chronic disease/medicine], lifestyle factors (smoking, alcohol, and exercise), and self-rated mental health (self-care, well-being, anxiety) were recorded by online interview. With 2 years’ follow-up, Mini-Mental State Examination (MMSE) and memory test were performed through person-to-person interview. The performance of MMSE was applied to represent the responder’s cognitive status which classified into cognitive impairment and normal group based on a cutoff point of 20. An age-related cognitive declining trend of 15 stratified factors was observed, though with a small effect size (R-square: 0.001–0.15). The odds of exposure or non-exposure on factors (memory, self-care, exercise, income, education, and literacy) had a significantly different effect on cognitive impairment through multivariate analysis after adjusting other confounding variables. Through stepwise multiple logistic regression analysis, the following 12 factors/index would be integrated to predict cognitive impairment: gender, physical health factors (BMI, chronic disease), socioeconomic and lifestyle factors (education, literacy, Mandarin, marriage, income, and exercise), and psychological health factors (memory, self-care cognition, and anxiety). Related clinical and nursing applications were also discussed.
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影响因子：
7
作者：
Friedman DB;Becofsky K;Anderson LA;Bryant LL;Hunter RH;Ivey SL;Belza B;Logsdon RG;Brannon S;Vandenberg AE;Lin SY
通讯作者：
Lin SY
影响因子：
15.8
作者：
Clare L
通讯作者：
Clare L
DOI：
10.1016/s0140-6736(17)31363-6
发表时间：
2017-12-16
期刊：
Lancet (London, England)
影响因子：
--
作者：
Livingston, Gill;Sommerlad, Andrew;Mukadam, Naaheed
通讯作者：
Mukadam, Naaheed
DOI：
10.1002/bs.3830030103
发表时间：
1958-01-01
期刊：
BEHAVIORAL SCIENCE
影响因子：
--
作者：
CAMPBELL, DT
通讯作者：
CAMPBELL, DT
影响因子：
13.6
作者：
Mensink, GBM;Loose, N;Oomen, CM
通讯作者：
Oomen, CM