德克萨斯州西部农村老年人认知正常与认知障碍相关风险因素的比较研究。

IF 2.8 Q2 NEUROSCIENCES Journal of Alzheimer's disease reports Pub Date : 2024-08-22 eCollection Date: 2024-01-01 DOI:10.3233/ADR-240092
Hafiz Khan, Fardous Farhana, Fahad Mostafa, Aamrin Rafiq, Effat Walia Nizia, Refaya Razzaq, Rumana Atique, Megan Dauenhauer, Zawah Zabin, Komaraiah Palle, P Hemachandra Reddy
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引用次数: 0

摘要

背景:阿尔茨海默病(AD)与一种或多种慢性疾病有关,可能导致认知能力下降和痴呆。认知障碍正在不断增加,公共卫生官员必须应对阿尔茨海默病的风险因素,以改善西得克萨斯州农村社区的健康状况:本研究旨在探讨居住在西得克萨斯州农村地区科克伦县、帕默县和贝利县的老年人中与认知障碍相关的社会人口学因素和慢性疾病风险因素:采用皮尔逊卡方、比例检验、单变量二元逻辑回归和多变量逻辑回归等统计方法分析数据。使用 SPSS 软件检测认知障碍与风险因素之间的显著关系:通过交叉表分析和比较县级受访者的比例检验,得出了社会人口学和慢性疾病的汇总统计。利用单变量二元逻辑回归法发现,60-69 岁年龄组、焦虑、抑郁、糖尿病、高血压和心血管疾病与认知障碍有显著相关性。使用多变量逻辑回归法发现,贝利县(60-69 岁年龄组)出现认知障碍的可能性(p = 0.002)高于帕莫县(p = 0.067)和科克伦县(p = 0.064)。帕默县女性(p = 0.033)罹患注意力缺失症的风险比男性低 78.3%:确定认知障碍的重要风险因素对于解决地域差异问题非常重要,整合这些因素可指导相关政策干预,降低得克萨斯州西部农村社区的认知障碍发病率。
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Comparative Study of Risk Factors Associated with Normal Cognition and Cognitive Impairment in Rural West Elderly Texans.

Background: Alzheimer's disease (AD) is related to one or more chronic illnesses, which may develop cognitive decline and dementia. Cognitive impairment is increasing, and public health officials must address risk factors for AD to improve the health of rural West Texas communities.

Objective: The purpose of this study was to explore the sociodemographic and chronic disease risk factors related to cognitive impairment among elderly adults living in Cochran, Parmer, and Bailey counties in rural West Texas.

Methods: Statistical methods such as Pearson's chi-squared, proportion tests, univariate binary logistic regression, and a multivariable logistic regression were utilized to analyze data. SPSS software was used to detect the significant relationship between cognitive impairment and risk factors.

Results: Summary statistics were obtained for sociodemographic and chronic diseases by using cross-tabulation analysis and comparing the county respondents with proportion tests. A univariate binary logistic regression method was utilized and found that age group 60-69, anxiety, depression, diabetes, hypertension, and cardiovascular disease were significantly associated with cognitive impairment. Using a multivariable logistic regression approach, it was found that Bailey County (age group 60-69) had a higher likelihood (p = 0.002) of cognitive impairment than Parmer (p = 0.067) and Cochran counties (p = 0.064). The risk of females (p = 0.033) in Parmer County was 78.3% lower compared to males in developing AD.

Conclusions: Identifying significant risk factors for cognitive impairment are important in addressing issues of geographic variations and integrating such factors may guide relevant policy interventions to reduce cognitive impairment incidence in rural communities within West Texas.

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