潜在类模型
逻辑回归
优势比
星团(航天器)
心理干预
医学
年轻人
健康行为
可能性
护理干预分类
老年学
心理学
护理部
环境卫生
统计
内科学
病理
计算机科学
程序设计语言
数学
作者
Chaoqun DONG,Hua CHEN,Yeqin YANG,Yi LI,Yumei SUN,Hongyu SUN
标识
DOI:10.1097/jnr.0000000000000521
摘要
Little is known about how health behaviors cluster to form meaningful patterns that influence health outcomes in young adult nursing students.The purpose of this study was to identify the unique health behavior patterns among young adult nursing students in China and examine the associations between health behaviors and chronic diseases.Using an electronic app, the achievements of an exercise target, sedentary behavior, smoking and drinking, and dietary patterns were assessed in 1,480 nursing student participants aged 18-24 years from two medical universities in Eastern China.A four-class model was developed using latent class analysis that included the "failure to achieve exercise target, alcohol-drinking, and insufficient fruit and vegetable group" (Group 1, n = 187, 12.6%), the "alcohol-drinking and sedentary behavior group" (Group 2, n = 290, 19.6%), the "sedentary behavior only group" (Group 3, n = 721, 48.7%), and the "failure to achieve exercise target only group" (Group 4, n = 282, 19.1%). Logistic regressions indicated that nursing students in Group 2 (odds ratio [OR] = 0.42), Group 3 (OR = 0.51), and Group 4 (OR = 0.30) were less likely to have chronic diseases than those in Group 1 after adjusting for sociodemographic variables.The health behaviors were clustered in different patterns among young adult nursing students. Tailoring interventions to specific groups is suggested to improve health outcomes.
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