scholarly journals Determinants of Breast Cancer screening: Application of Protection Motivation Theory

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

2017 ◽  
Vol 11 ◽  
pp. 117822341769452 ◽  
Author(s):  
Monita Karmakar ◽  
Sharrel L Pinto ◽  
Timothy R Jordan ◽  
Iman Mohamed ◽  
Monica Holiday-Goodman

The purpose of this observational study was to determine if the Protection Motivation Theory could predict and explain adherence to aromatase inhibitor (AI) therapy among breast cancer survivors. Purposive sampling was used to identify 288 survivors who had been prescribed AI therapy. A valid and reliable survey was mailed to survivors. A total of 145 survivors completed the survey. The Morisky scale was used to measure adherence to AI. The survivors reported a mean score of 6.84 (±0.66) on the scale. Nearly 4 in 10 survivors (38%) were non-adherent. Adherence differed by age, marital status, insurance status, income, and presence of co-morbid conditions. Self-efficacy (r=0.485), protection motivation (r=0.310), and Response Efficacy (r=0.206) were positively and significantly correlated with adherence. Response Cost (r=-0.235) was negatively correlated with adherence. The coping appraisal constructs were statistically significant predictors medication adherence (β=0.437) with self-efficacy being the strongest significant predictor of adherence (β = 0.429).


2017 ◽  
Vol 27 (2) ◽  
pp. 442-449 ◽  
Author(s):  
Yang Bai ◽  
Qing Liu ◽  
Xinguang Chen ◽  
Yanduo Gao ◽  
Huiyun Gong ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document