Department of Family Health, Faculty of Public Health, Mahidol University, Bangkok, 10400, Thailand.
Bamrasnaradura Infectious Disease Institute, Ministry of Public Health, Nonthaburi, 11000, Thailand.
Diabetes Metab Syndr. 2021 Jan-Feb;15(1):121-127. doi: 10.1016/j.dsx.2020.12.017. Epub 2020 Dec 10.
Diabetes mellitus is a global health problem causing premature death and economic burden. The study aimed to investigate an application of the protection motivation theory (PMT) model to explain the intention of healthy eating behaviors and physical activity among healthy Thais.
This study was a part of a large case control focused only on the control group without noncommunicable diseases. Nine hundred ninety-seven subjects were drawn from eleven provinces of Thailand. A self-administered questionnaire was constructed based on the PMT model to gather information on predictive factors on eating behaviors and physical activity. Path analysis was used to determine whether the empirical data fit the PMT structure as well as to assess the strength of association among PMT constructed factors predicting behavioral intention.
The findings demonstrated that empirical data of eating behaviors (CMIN χ2 p-value = 0.462; CMIN/df = 0.901; NFI = 0.997; CFI = 1; RMSEA <0.001) and physical activity (CMIN χ2 p-value = 0.053; CMIN/df = 2.187; NFI = 0.987; CFI = 0.993; RMSEA = 0.035) fit the PMT. The strongest predictive factor of behavioral intention on eating behaviors was response efficacy (β = 0.146), while self-efficacy was found to be the strongest factor for physical activity (β = 0.11). Knowledge had the only indirect effect on behavior intention through perceived susceptibility and perceived severity.
In conclusion, information on susceptibility and severity should be incorporated in intervention strategies to enhance response efficacy and self-efficacy to prevent diabetes.
糖尿病是一个全球性的健康问题,会导致过早死亡和经济负担。本研究旨在调查保护动机理论(PMT)模型在解释健康泰国人健康饮食行为和体育活动意向方面的应用。
这是一项大型病例对照研究的一部分,仅关注对照组,不包括非传染性疾病。从泰国的 11 个省抽取了 997 名受试者。根据 PMT 模型构建了一份自我管理问卷,以收集有关饮食行为和体育活动的预测因素信息。路径分析用于确定实证数据是否符合 PMT 结构,以及评估构建因素预测行为意向的关联强度。
研究结果表明,饮食行为(CMIN χ2 p 值=0.462;CMIN/df=0.901;NFI=0.997;CFI=1;RMSEA <0.001)和体育活动(CMIN χ2 p 值=0.053;CMIN/df=2.187;NFI=0.987;CFI=0.993;RMSEA=0.035)的实证数据符合 PMT。对饮食行为意向的最强预测因素是反应效能(β=0.146),而自我效能被认为是体育活动的最强因素(β=0.11)。知识仅通过感知易感性和感知严重性对行为意向产生间接影响。
总之,应将易感性和严重性信息纳入干预策略,以增强预防糖尿病的反应效能和自我效能。