Accurate statistical methods to cover the aspects of the increase in the incidence of kidney failure: A survey study in Ha'il -Saudi Arabia.

Abstract

Chronic kidney disease (CKD) has become more common in recent decades, putting significant strain on healthcare systems worldwide. CKD is a global health issue that can lead to severe complications such as kidney failure and death. The purpose of this study was to investigate the actual causes of the alarming increase of kidney failure cases in Saudi Arabia using the supersaturated design analysis and edge design analysis. A cross-sectional questionnaire was distributed to the general population in the KSA, and data were collected using Google Forms. A total of 401 responses were received. To determine the actual causes of kidney failure, edge and supersaturated designs analysis methods were used, which resulted in statistical significance. All variables were studied from factor h1 to factor h18 related to the causes of kidney failure. The supersaturated analysis method revealed that the reasons for the increase in kidney failure cases are as follows: h9(Bad diet), h8(Recurrent urinary tract infection), h1 (Not drinking fluids), h6 (Lack of exercise), h14 (drinking from places not designated for valleys and reefs), h18 (Rheumatic diseases), h10 (Smoking and alcohol consumption), h13 (Direct damage to the kidneys), h2 (take medications), h17 (excessive intake of soft drinks), h12 (Infection), h5 (heart disease), h3 (diabetes), h4 (pressure disease), h15 (Dyes used in X-rays), and h11 (The presence of kidney stones) are all valid. The design analysis method by edges revealed that the following factors contributed to an increase in kidney failure cases: h8 (Recurrent urinary tract infection), h6 (Lack of exercise), h7 (Obesity), and h11. The findings showed that there were causes of kidney failure that led to the statistical significance, which is h8 (Recurrent urinary tract infection) and h11 (The presence of kidney stones).