Tendency to Breast Cancer Screening Among Rural Women in Southern Iran: A Structural Equation Modeling (SEM) Analysis of Theory of Planned Behavior.

Abstract

Background: Early detection of breast cancer is a crucial factor in surviving the disease. This study aimed to investigate the mammography screening based on the theory of planned behavior (TPB) among rural women in Fasa and Shiraz cities, Iran.

Methods: This study is a cross-sectional study performed on 800 female clients referring to rural health centers in Fasa and Shiraz cities in southern Iran in early 2021. The authors decided to send and distribute the electronic questionnaire form through the WhatsApp application in collaboration with the health staff of rural health centers for the people covered by these centers. Data gathering tools were a questionnaire on demographic characteristics, a questionnaire based on constructs of TPB, and behavior of mammography screening. Using the structural equation model (SEM), the TPB constructs and demographic variables were entered into the model. Data analysis was executed employing SPSS software version 26 and Amos version 24 (IBM Co., Ann Arbor, MI, USA). Analyzing the data was carried out using the 1-way analysis of variance (ANOVA), logistic regression, and structural equation analysis. During data analysis, various model indicators such as the goodness of fit, including comparative fit index (CFI), goodness-of-fit index (GFI), root mean square error of approximation (RMSEA), and chi-square index/df were evaluated. The significance level in all tests was considered 0.05.

Results: The knowledge, attitude, and perceived behavioral control were the predictors of intention and behavior of mammography screening among the women. Among demographic variables, age, literacy, being menopausal, cancer in family, city, and ethnicity contribute more to the variance variation in TPB constructs. In this study, 7.2% of Persians, 8% of Qashqai Turks, and 4.5% of Arabs are contemplating going to mammography screening. In total, 6.8% (54 people) of all individuals intended to go mammography screening, and 5.4% (43 people) had a history of mammography screening. Goodness-of-fit indices (χ² = 18.45, df = 10, n = 800, χ²/df = 1.845, RMSEA = 0.032, GFI = 0.90, non-normed fit index (NNFI) = 0.91) of conceptual model of this study indicate the suitability of the model.

Conclusions: The results of the study indicated that the constructs of the TPB can predict mammography screening behaviors in rural women. It has also demonstrated that mammographic behavior can be improved in rural women using education based on the TPB model, emphasizing critical psychological factors of creating or changing behavior.