Cancers preventive practice and the determinants in Amhara regional state, Northwest Ethiopia

Abstract

Background Cancer is the leading cause of morbidity and mortality globally. In Ethiopia, 5.8% of deaths are attributed to cancer. Therefore, this study aimed to examine the cancers preventive practice and associated factors in North West Ethiopia, 2019. Methods A community-based cross-sectional study was conducted among Bahir Dar city residents. A multistage sampling technique was used to select 845 study participants. Data were collected through a validated interviewer administered questionnaire. The questionnaire was adapted from the American cancer association cancer prevention toolkit. Descriptive statistics were computed and presented in charts and texts. The model fitness was checked using Hosmer and Lemeshow goodness of fit (P > 0.05). Bivariable and multivariable logistic regressions were used to identify factors associated with cancer preventive practice. A p-value < 0.2 at bivariate analysis was candidate variables for multivariable logistic regression analysis. Finally, p-value of < 0.05 was considered as a statistically significant predictor for cancer preventive practice at the 95% confidence interval. Result A total of 845 study participants took part in the study. Nearly 63% of the respondents were females. About 28% (95%CI: 24, 30) of the study participants had good preventive practice. Age ≥ 45 years (AOR = 0.31; 95%CI: 0.15, 0.62), female (AOR = 0.50, 95%CI: 0.35, 0.71) family member with cancer (AOR = 1.68, 95%CI: 1.07, 2.62) and had good knowledge (AOR = 1.66, 95%CI: 1.14, 2.42) were the identified determinants of cancer preventive practices. Conclusion This study revealed that the level of cancer preventive practices was low. Family member with cancer, knowledge about cancer, older age, and being female were significantly associated with cancer preventive practices. This finding underscores the importance of interventions to enhance cancer preventive practices.

Understanding Child Wasting in Ethiopia: Cross-sectional Analysis of 2019 Ethiopian Demographic and Health Survey Data Using Generalized Linear Latent and Mixed Models

“…We conducted a bivariate analysis to identify candidate variables for multivariate analysis and selected variables with a P value <.20 [ 40 , 41 ] for the multivariable model. In current statistical analyses, studies conduct preanalysis filters to select variables for final models at a P value <.25 [ 42 ] and commonly at P <.20 [ 43 ]. We declared the final association at a P value of <.05.…”