Babazadeh Towhid, Nadrian Haidar, Banayejeddi Morteza, Rezapour Baratali
Department of Health Education and Promotion, Tabriz University of Medical Sciences, Tabriz, Iran.
Department of Disease Control and Prevention, Chalderan Health Care Center, Urmia University of Medical Sciences, Urmia, Iran.
J Cancer Educ. 2017 Sep;32(3):604-612. doi: 10.1007/s13187-016-1004-7.
Skin cancer is one of the most prevalent cancers, worldwide, which happens more among those with more sunlight exposure like farmers. The aim of this study was to explore the determinants of skin cancer preventive behaviors (SCPBs) among rural farmers using Protection Motivation Theory (PMT). In this cross-sectional study, multistage random sampling was employed to enroll 238 farmers referring to rural health houses (HH) in Chaldoran County, Iran. A valid and reliable instrument based on PMT variables was used. Significant correlations were found between all PMT variables with SCPBs (p < 0.05). Hierarchical multiple linear regressions were performed with Protection Motivation and SCPBs as outcome variables. Predictors for these two outcome variables were classified in two different blocks according to their natures. Demographic characteristics (p > 0.05) and PMT constructs (p < 0.001) explained 3 and 63.6 % of the observed variance in Protection Motivation, respectively. Also, no significant effect was found on SCPBs by demographic variables, in the first block (∆R = 0.025); however, in the second block, Perceived Susceptibility (p = 0.000), Rewards (p = 0.022), Self-efficacy (p = 0.000), and Response Cost (p = 0.001) were significant predictors of SCPBs (∆R = 0.432). Health care providers may consider PMT as a framework for developing educational interventions aiming at improving SCPBs among rural farmers.
皮肤癌是全球最常见的癌症之一,在农民等阳光照射较多的人群中更为高发。本研究旨在运用保护动机理论(PMT)探究农村农民皮肤癌预防行为(SCPBs)的决定因素。在这项横断面研究中,采用多阶段随机抽样方法,纳入了伊朗查尔多兰县农村卫生站(HH)的238名农民。使用了一种基于PMT变量的有效且可靠的工具。发现所有PMT变量与SCPBs之间均存在显著相关性(p < 0.05)。以保护动机和SCPBs作为结果变量进行了分层多元线性回归。根据其性质,将这两个结果变量的预测因素分为两个不同的模块。人口统计学特征(p > 0.05)和PMT结构(p < 0.001)分别解释了保护动机中观察到的方差的3%和63.6%。此外,在第一个模块中,人口统计学变量对SCPBs没有显著影响(∆R = 0.025);然而,在第二个模块中,感知易感性(p = 0.000)、奖励(p = 0.022)、自我效能感(p = 0.000)和反应成本(p = 0.001)是SCPBs的显著预测因素(∆R = 0.432)。医疗保健提供者可将PMT视为制定旨在改善农村农民SCPBs的教育干预措施的框架。