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脑卒中高危人群体力活动现状及影响因素研究 被引量:12

Status and influencing factors of physical activity among populations at high risk for stroke
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摘要 目的了解脑卒中高危人群体力活动水平及影响因素,为临床制订针对性干预措施提供参考。方法采用一般资料问卷、锻炼自我效能量表、患者健康问卷抑郁量表和国际体力活动问卷对上海市4个社区脑卒中高危人群272人进行调查。结果脑卒中高危人群中,1周总体力活动量为1872(569,2859)MET-min/周;体力活动强度中等以上占比69.5%;体力活动类型以家务及休闲为主,分别占比34.3%和41.6%。年龄、性别、家庭月收入及锻炼自我效能是脑卒中高危人群体力活动的主要影响因素(P<0.05,P<0.01)。结论脑卒中高危人群体力活动水平较低,尤其是40~59岁、男性、家庭月收入高、锻炼自我效能低者,应给予针对性护理指导,提高此类人群的体力活动水平。 Objective To understand the current status and influencing factors of physical activity among populations at high risk for stroke,and to provide basis for targeted intervention measures.Methods A total of 272 people at high risk for stroke from 4 communities in Shanghai were enrolled.The general information questionnaire,the Exercise Self-Efficacy Scale,the 9-item depression module of the Patient Health Questionnaire(PHQ-9),and International Physical Activity Questionnaire-Long Form were used to surveyed the participants.Results The median(IQR)of total weekly metabolic equivalent was 1872(569,2859)MET-min/w,and 69.5%were having moderate and above level physical activity.The main type of physical activity was housework(34.3%)and leisure exercise(41.6%).Multiple linear regression analysis results showed that age,gender,monthly household income and exercise self-efficacy were main influencing factors of physical activity in population at high risk for stroke(P<0.05,P<0.01).Conclusion The level of physical activity in population at high risk for stroke is low,especially for those aged 40-59,being male,having high household income and low exercise self-efficacy.Targeted intervention should be given to improve the level of physical activity in high-risk population.
作者 谢传桃 顾艳荭 唐红梅 胡晶喆 汪亚男 Xie Chuantao;Gu Yanhong;Tang Hongmei;Hu Jingzhe;Wang Yanan(School of Nursing,Fudan University,Shanghai 200032,China)
出处 《护理学杂志》 CSCD 北大核心 2021年第7期59-62,71,共5页 Journal of Nursing Science
基金 上海市闵行区科研项目社会科学课题(G20112) 复旦大学附属上海市第五人民医院院级重点专科建设项目(2020WYZDZK10)。
关键词 脑卒中 高危人群 体力活动 自我效能 危险因素 护理干预 stroke high-risk population physical activity exercise self-efficacy influencing factors nursing intervention
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