美国农村和非农村社区居住的年龄≥65 岁的中风幸存者在健康特征和健康行为方面的差异。

Ryan R Bailey, Natalie Miner
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引用次数: 0

摘要

目的: 研究美国农村和非农村中风幸存者在健康特征和健康行为方面的差异:研究美国农村和非农村中风幸存者在健康特征和健康行为方面的差异:从 2017 年和 2019 年行为危险因素监测系统(BRFSS)中提取数据,比较社区居住的中风幸存者的健康特征(即糖尿病、残疾、健康状况差、高胆固醇、高血压、无医疗保险、体重状况)和健康行为(即水果消费、蔬菜消费、缺乏运动、高酒精消费、吸烟)的流行率,并按农村状况(即农村与非农村)进行分层。采用逻辑回归法计算健康特征和健康行为的几率比(ORs),以研究农村状况与各相关变量的关系(参照组=非农村):共有 14,599 名受访者的数据可供分析(农村:n=5,039;非农村:n=9,560)。大多数受访者为女性(61.4%)、非西班牙裔白人(83.2%)、已婚(56.1%)、至少受过一些大学教育(55.2%)、家庭年收入≥25,000 美元(56.9%)。与非农村受访者相比,农村受访者中残疾、健康状况差、每周有氧运动和吸烟的比例较高。逻辑回归显示,这些变量在农村受访者中的几率增加(几率范围:1.1-1.2);然而,在控制了社会人口学和健康特征后,几率有所降低:我们没有发现美国农村和非农村社区中风幸存者在所调查的健康特征和健康行为方面存在差异的证据。需要进行更多的研究来证实这些发现,并找出农村和非农村社区居住的中风幸存者之间可能存在差异的其他社会人口学和健康因素。
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Differences in health characteristics and health behaviors between rural and non-rural community-dwelling stroke survivors aged ≥65 years in the USA.

Objectives: To examine differences in health characteristics and health behaviors between rural and non-rural stroke survivors in the USA.

Methods: Data were extracted from the 2017 and 2019 Behavioral Risk Factor Surveillance System (BRFSS) to compare prevalences of health characteristics (i.e., diabetes, disability, poor health, high cholesterol, hypertension, no health care coverage, weight status) and health behaviors (i.e., fruit consumption, vegetable consumption, physical inactivity, high alcohol consumption, smoking) among community-dwelling stroke survivors, stratified by rural status (i.e., rural vs. non-rural). Logistic regression was used to calculate odds ratios (ORs) for health characteristics and health behaviors to examine the association of rural status with each variable of interest (reference group=non-rural).

Results: Data from 14,599 respondents (rural: n = 5,039; non-rural: n = 9,560) were available for analysis. The majority of respondents were female (61.4%), non-Hispanic white (83.2%), previously married (56.1%), had at least some college education (55.2%), and had an annual household income ≥USD $25,000 (56.9%). Prevalences of disability, poor health, weekly aerobic exercise, and smoking were higher among rural respondents compared to non-rural respondents. Logistic regression showed increased odds (odds ratio range: 1.1-1.2) for these variables among rural respondents; however, odds ratios were attenuated after controlling for sociodemographic and health characteristics.

Conclusions: We did not find evidence of differences in the investigated health characteristics and health behaviors between rural and non-rural community-dwelling stroke survivors in the USA. Additional research is needed to confirm these findings and to identify alternative sociodemographic and health factors that may differ between rural and non-rural community-dwelling stroke survivors.

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