Investigating the knowledge, attitude, and practice of the people towards prevention and early detection of chronic kidney disease, and their association with demographic variables

Abstract

Chronic kidney disease (CKD) is a worldwide public health problem related to adverse results of end-stage renal disease (ESRD), kidney failure, cardiovascular disease (CVD), and premature death. The study is aimed to investigate the knowledge, attitude, and practice toward the prevention and early detection of chronic kidney disease. Two ordinal variables and one nominal response variable with 20 predictor variables were independently fitted. Ordinal multicategories , such as proportional odds, continuation ratio, and partial proportional models for attitude and practice, whereas the baseline multicategory logit model for knowledge was fitted. The findings implied that some predictors have a significant effect on attitude, whereas other covariates have a significant effect on practice. Moreover, as there are two independent logit models for the nominal response, in the first logit model Monthly income and Diabetes2, whereas in the second logit model, Smo_R_CKD3 and Diabetes2 have a significant effect on knowledge. In conclusion, more educated ones have more knowledge and attitude toward the prevention and early detection of chronic kidney disease, also more likely to perform preventive and early detecting practices. People are inadequately informed on the prevention and early detection of CKD, especially those who are with low income, are at risk of developing CKD and its complications.

KEYWORDS:

• Chronic kidney disease
• End Stage Renal Disease
• Multinomial Logit Models
• proportional odds model
• partial proportional odds model

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This work was supported by the Adigrat University; Adigrat University; Adigrat University.

Notes on contributors

Mehari Gebre Teklezgi

Mehari Gebre Teklezgi, a Master of Science (MSc) in Biostatistics is a lecturer and researcher at the department of Statistics, College of Natural and Computational Science, Adigrat University, Tigray, Ethiopia.

Solomon Kalayu Mengesha

Solomon Kalayu Mengesha, a Master of Science (MSc) in Applied Statistics, is a lecturer and researcher at the department of statistics, College of Natural and Computational Science, Adigrat University, Tigray, Ethiopia.

Yared Tbebu Gebru

Yared Tbebu Gebru, a Master of Science (MSc) in Applied Statistics, is a lecturer and researcher at the department of statistics, College of Natural and Computational Science, Adigrat University, Tigray, Ethiopia.