Fernandez Anne C, Amoyal Nicole R, Paiva Andrea L, Prochaska James O
Am J Health Promot. 2016 Jan-Feb;30(3):163-71. doi: 10.4278/ajhp.131108-QUAN-570. Epub 2015 Mar 25.
In the United States, 36% of human papillomavirus (HPV)-related cancers occur among men. HPV vaccination can substantially reduce the risk of HPV infection; however, the vast majority of men are unvaccinated. This study developed and validated transtheoretical model-based measures for HPV vaccination in young adult men.
Cross-sectional measurement development.
Online survey of young adult men.
Three hundred twenty-nine mostly college-attending men, ages 18 to 26.
Stage of change, decisional balance (pros/cons), and self-efficacy.
The sample was randomly split into halves for exploratory principal components analysis (PCA), followed by confirmatory factor analyses (CFA) to test measurement models. Multivariate analyses examined relationships between scales.
For decisional balance, PCA revealed two uncorrelated five-item factors (pros α = .78; cons α = .83). For the self-efficacy scale, PCA revealed a single-factor solution (α = .83). CFA confirmed that the two-factor uncorrelated model for decisional balance and a single-factor model for self-efficacy. Follow-up analyses of variance supported the theoretically predicted relationships between stage of change, pros, and self-efficacy.
This study resulted in reliable and valid measures of pros and self-efficacy for HPV vaccination that can be used in future clinical research.
在美国，36%的人乳头瘤病毒（HPV）相关癌症发生在男性中。HPV疫苗接种可大幅降低HPV感染风险；然而，绝大多数男性未接种疫苗。本研究开发并验证了基于跨理论模型的年轻成年男性HPV疫苗接种测量方法。
横断面测量方法开发。
对年轻成年男性进行在线调查。
329名主要为18至26岁的大学在读男性。
改变阶段、决策权衡（利弊）和自我效能感。
样本被随机分成两半，进行探索性主成分分析（PCA），随后进行验证性因子分析（CFA）以测试测量模型。多变量分析检验各量表之间的关系。
对于决策权衡，主成分分析揭示了两个不相关的五项因子（利α = 0.78；弊α = 0.83）。对于自我效能量表，主成分分析揭示了一个单因子解决方案（α = 0.83）。验证性因子分析证实了决策权衡的双因子不相关模型和自我效能感的单因子模型。后续方差分析支持了改变阶段、利和自我效能感之间理论上预测的关系。
本研究得出了用于HPV疫苗接种的利和自我效能感的可靠且有效的测量方法，可用于未来的临床研究。
