护理SCI晨读：久坐不动生活方式的相关因素：meta分析
久坐不动生活方式的相关因素：meta分析
摘要
目的
将文献中描述的与久坐生活方式相关的因素与NANDA International中列出的因素进行比较。
设计
对青少年、成年人和老年人久坐不动的生活方式相关因素进行系统评价和meta分析。
数据源
2016年5月对PubMed，Scopus，CINAHL以及拉丁美洲和加勒比地区的健康与科学文献数据库进行了检索。
审查方法
根据标准化形式提取描述性数据。与久坐不动的生活方式相关的每种因素的比值比直接从文献中提取或从其中描述的数据中计算得出。对关注一项以上所调查因素的研究进行了meta分析。
结果
纳入35篇文章。具有统计学意义的因素包括：缺乏社会支持，空间，时间，动力，运动技能以及对体育活动的兴趣，对活动的不耐受，退休，生活在低收入国家，懒惰，没有工作/学习，社会经济地位低下，对体育锻炼知识缺乏，女性，居住在城市地区，对健康的负面自我认知，使用公共交通工具，处于研究中年龄最大的年龄段以及身体残障。
结论
与久坐不动的生活方式相关的新因素以及已经纳入NANDA International分类的那些因素将为护士提供更好的临床指导。
影响
相关因素的知识有助于公共卫生政策。
英文摘要
Aims
To compare factors associated with the sedentary lifestyle described in the literature with the factors listed in NANDA International.
Design
Systematic review with meta‐analysis of factors associated with a sedentary lifestyle in adolescents, adults and older people.
Data sources
An electronic search of PubMed, Scopus, CINAHL and Latin America and the Caribbean Literature on Health and Science databases conducted in May 2016.
Review methods
Descriptive data were extracted according to a standardized form. The odds ratios for each etiological factor associated with a sedentary lifestyle were extracted directly from the articles or calculated from the data described therein. The meta‐analysis was conducted for factors that were investigated in more than one study.
Results
Thirty‐five articles were included. The statistically significant factors were: lack of social support, of physical space, of time, of motivation, of sports skills and of interest in physical activity, intolerance to activity, being retired, living in a low‐income country, laziness, not having a job/studying, low socioeconomic status and level of knowledge about physical activity, female gender, living in an urban area, negative self‐perception of health, using public transportation, being in the oldest age group in the study and perceived physical disability.
Conclusion
The new factors associated with a sedentary lifestyle and those already included in the NANDA International classification will lead to better clinical guidance for nurses.
Impact
Knowledge about these factors can contribute directly to public health policies.
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