Li Chao, DiPiro Nicole D, Krause James S
College of Health Professions, Medical University of South Carolina, Charleston, SC, USA.
Spinal Cord. 2018 Mar;56(3):265-273. doi: 10.1038/s41393-017-0027-1. Epub 2017 Nov 30.
Cross-sectional study.
To develop a latent structural model of health behaviors among people with spinal cord injury (SCI) that accounts for measurement of underlying factors and their association with demographic and injury-related variables.
The data were collected at a large specialty hospital and analyzed at a medical university in the Southeastern United States.
A total of 1871 participants with traumatic SCI of at least 1-year duration were included. Exploratory factor analysis (EFA) was used to identify the latent health behavior structures. Several key exogenous variables were also linked with the latent health behavior factors.
Five latent health behavior factors were identified by the EFA with excellent model fit (root mean square error of approximation = 0.043). These latent factors included (1) medication non-compliance, (2) prescription medication and substance use, (3) smoking, (4) alcohol consumption, and (5) healthy lifestyle activities and participation. Sex, race/ethnicity, age, years since injury, and injury severity were all significantly associated with at least one latent health behavior factor. For instance, men scored higher in smoking and alcohol consumption, whereas women scored higher in prescription medication and substance use. Non-whites scored higher on the medication non-compliance dimension and lower on the healthy lifestyle activities and participation dimension.
Utilization of latent health behavior factors provides more stable and comprehensive composite scores than does a single observed health behavior indicator. There are important differences in behaviors based on individual characteristics.
横断面研究。
建立脊髓损伤(SCI)患者健康行为的潜在结构模型,该模型要考虑潜在因素的测量及其与人口统计学和损伤相关变量的关联。
数据收集于一家大型专科医院,并在美国东南部的一所医科大学进行分析。
共纳入1871名创伤性SCI持续时间至少1年的参与者。采用探索性因素分析(EFA)来识别潜在的健康行为结构。还将几个关键的外生变量与潜在的健康行为因素联系起来。
EFA识别出五个潜在的健康行为因素,模型拟合度极佳(近似均方根误差 = 0.043)。这些潜在因素包括:(1)药物治疗不依从;(2)处方药和物质使用;(3)吸烟;(4)饮酒;(5)健康生活方式活动与参与。性别、种族/民族、年龄、受伤年限和损伤严重程度均与至少一个潜在健康行为因素显著相关。例如,男性在吸烟和饮酒方面得分较高,而女性在处方药和物质使用方面得分较高。非白人在药物治疗不依从维度上得分较高,在健康生活方式活动与参与维度上得分较低。
与单一观察到的健康行为指标相比,利用潜在健康行为因素可提供更稳定、更全面的综合评分。基于个体特征的行为存在重要差异。