scholarly journals Development and Psychometric Evaluation of a Protection Motivation Theory–Based Scale Assessing the Adherence of Iranian Women Breast Cancer Prevention Behaviors

2019 ◽  
Vol 11 (4) ◽  
pp. 08-18
Author(s):  
Mahsa Khodayarian
2018 ◽  
Vol 67 (5) ◽  
pp. 231-240 ◽  
Author(s):  
Babak Moeini ◽  
Elahe Ezati ◽  
Majid Barati ◽  
Forouzan Rezapur-Shahkolai ◽  
Naser Mohammad Gholi Mezerji ◽  
...  

Farmers are among the most common work groups at risk of skin cancer. The protection motivation theory has been widely accepted as a framework for predicting health related behaviors. This study was conducted to determine the role of factors preventing skin cancer among farmers in Eslamabad-e Gharb district, Iran, using the protection motivation theory. In this descriptive study, 280 farmers living in this district were studied from May to June 2017. Using cluster random sampling methods, health houses where farmers received health care were selected. Each farmer within the selected health house was then enrolled into the study using simple random sampling. Data were collected by interview using an author-developed questionnaire. The questionnaire ascertained demographic information and constructs of the protection motivation theory. Almost half of the farmers had a history of sunburn (56.4%). With regard to prevention, a small proportion reported using sunscreen (8.6%), hats (3.2%), gloves 3.9%, sunglasses 4.6%, and protective clothing 15.4%. The results of regression analyses showed that with one unit of increase in the scores of self-efficacy to adopt prevention behavior and perceived protection motivation resulted in an increase in the mean score of the “protective” behavior by 0.26 and 0.20, respectively. Working conditions among farmers place them at great risk and skin cancer prevention is essential. Intervention and prevention programs should fully identify the determinants of skin cancer prevention in farmers; in addition, the identified effective factors must be taken into account when designing and implementing appropriate interventions.


Author(s):  
Miao Zhang ◽  
Wenshuang Wei ◽  
Qinmei Li ◽  
Xinguang Chen ◽  
Min Zhang ◽  
...  

Despite the significance of early detection of breast cancer through screening, the screening uptake in China remains relatively low. Protection motivation theory (PMT) suggested by Rogers is one of the theories concerning threat appeal. This study aimed to apply the protection motivation theory (PMT) in predicting breast cancer screening intention. In this cross-sectional study, a sample of Chinese urban women was recruited using the convenient sampling method from five communities in Wuhan. Data were collected using a self-report questionnaire that included demographic variables, knowledge about breast cancer, six PMT subconstructs, and screening intention. We used the structural equation modeling (SEM) to identify the predictor factors associated with screening intention. Of the total sample (n = 412), 86.65% had intention to participate in screening. Our data fit the hypothesized SEM model well (Goodness of fit index (GFI) = 0.91, adjusted GFI (AGFI) = 0.89, comparative fit index (CFI) = 0.91, root mean square error of approximation (RMSEA) = 0.05, standardized root mean residual (SRMR) = 0.06, and Chi-square/df = 2.01). Three PMT subconstructs (perceived severity, response cost, and self-efficacy) were significantly associated with screening intention. Knowledge, social status, and medical history had significantly indirect associations with screening intention through the mediating effect of PMT subconstructs. Considering the utility of PMT, intervention programs might be more effective based on the subconstructs of PMT, especially to improve self-efficacy, perceived severity, and knowledge, reduce response cost, as well as targeting specific demographic groups.


BMC Cancer ◽  
2007 ◽  
Vol 7 (1) ◽  
Author(s):  
Teresa S Lee ◽  
Sharon L Kilbreath ◽  
Gerard Sullivan ◽  
Kathryn M Refshauge ◽  
Jane M Beith

2018 ◽  
Vol 41 (4) ◽  
pp. E18-E30
Author(s):  
Ching-Fen Tsai ◽  
Pei-Shan Tsai ◽  
Chien-Liang Liu ◽  
Yen-Kuang Lin ◽  
You-Li Ling ◽  
...  

2020 ◽  
Vol 13 (5) ◽  
Author(s):  
Fazlollah Ghofranipour ◽  
Fatemeh Pourhaji ◽  
Mohammad Hossein Delshad ◽  
Fahime Pourhaji

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