Development of the PROMIS health expectancies of smoking item banks.
Development of the PROMIS health expectancies of smoking item banks.
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DOI：
10.1093/ntr/ntu053
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发表时间：
2014-09-01
期刊：
影响因子：
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通讯作者：
Cai, Li
中科院分区：
文献类型：
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作者：
Edelen, Maria Orlando;Tucker, Joan S;Cai, Li
导言：吸烟者的健康相关结果预期与吸烟研究中的许多重要概念有关，但目前还没有专门针对这一领域的测量方法。方法：利用每日吸烟者(N=4,201)和非每日吸烟者(N=1,183)的样本数据，进行一系列项目因素分析、项目反应理论分析和差异项目功能分析(按性别、年龄和种族/民族)，得出每日吸烟者和非每日吸烟者的一维健康预期项目集。结果：共有24个条目被纳入健康预期题库，其中13个条目是日常吸烟者和非每日吸烟者的常见条目，6个条目是日常吸烟者特有的条目，5个条目是非每日吸烟者特有的条目。对于日常吸烟者和非日常吸烟者，健康预期题库是一维的、可靠的(可靠性分别为0.95和0.96)，并且在性别、年龄和种族/民族群体中表现相似。日常吸烟者和非日常吸烟者的SF由6个项目组成(信度=0.87)。来自模拟猫的结果表明，平均从题库中自适应地选择5-6个条目，可以很好地评估健康期望。结论：吸烟的健康期望可以基于这些题库，通过SFS、CATS或通过为特定研究目的选择的定制项目来评估。
INTRODUCTION: Smokers' health-related outcome expectancies are associated with a number of important constructs in smoking research, yet there are no measures currently available that focus exclusively on this domain. This paper describes the development and evaluation of item banks for assessing the health expectancies of smoking.METHODS: Using data from a sample of daily (N = 4,201) and nondaily (N = 1,183) smokers, we conducted a series of item factor analyses, item response theory analyses, and differential item functioning analyses (according to gender, age, and race/ethnicity) to arrive at a unidimensional set of health expectancies items for daily and nondaily smokers. We also evaluated the performance of short forms (SFs) and computer adaptive tests (CATs) to efficiently assess health expectancies.RESULTS: A total of 24 items were included in the Health Expectancies item banks; 13 items are common across daily and nondaily smokers, 6 are unique to daily, and 5 are unique to nondaily. For both daily and nondaily smokers, the Health Expectancies item banks are unidimensional, reliable (reliability = 0.95 and 0.96, respectively), and perform similarly across gender, age, and race/ethnicity groups. A SF common to daily and nondaily smokers consists of 6 items (reliability = 0.87). Results from simulated CATs showed that health expectancies can be assessed with good precision with an average of 5-6 items adaptively selected from the item banks.CONCLUSIONS: Health expectancies of smoking can be assessed on the basis of these item banks via SFs, CATs, or through a tailored set of items selected for a specific research purpose.