Dispersion analysis of risk factors for chronic kidney disease
Автор: Babayev Fariz
Журнал: Бюллетень науки и практики @bulletennauki
Рубрика: Медицинские науки
Статья в выпуске: 9 т.6, 2020 года.
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Risk factors for chronic kidney disease include diabetes mellitus, hypertension, autoimmune diseases, urinary tract infections, urolithiasis, urinary tract obstruction, toxic effects of drugs, cardiovascular diseases, etc. In order to study the effect of several risk factors on the development of chronic kidney disease and the role of each factor in comparison with the proportion of their effect on the final result, a dispersion analysis was carried out. It was revealed that the development of chronic kidney disease in men is influenced by diabetes mellitus (H/h=+0.69), diabetic nephropathy (H/h=+0.71), obesity (H/h=+0.36), arterial hypertension (H/h=+0.70), coronary heart disease (H/h=+0.62), renal stone disease (H/h =+0.37), urolithiasis (H/h=+0.41), chronic pyelonephritis (H/h=+0.39), chronic glomerulonephritis (H/h=+0.81), polycystic kidney disease (H/h=+0.68), autoimmune diseases (H/h=+0.67). In women, diabetes mellitus (H/h=+0.70), diabetic nephropathy (H/h=+0.73), obesity (H/h=+0.45), arterial hypertension (H/h=+0.71), ischemic heart disease (H/h=+0.52), urinary tract infections (H/h=+0.63), renal stone disease (H/h=+0.35), urolithiasis (H/h=+0.36), chronic pyelonephritis (H/h=+0.47), chronic glomerulonephritis (H/h=+0.79), polycystic kidney disease (H/h=+0.59), iron deficiency anemia (H/h=+0.37), autoimmune diseases (H/h=+0.66). Variance analysis revealed direct strong and average correlation relationships of risk factors according to the validity of their negative influence in men, with the exception of urinary tract infection and iron deficiency anemia, where weak correlation relationships were revealed. In women, direct strong and average correlations of all risk factors in the validity of their negative effects were identified. Increasing the wariness of doctors at the primary level in identifying risk factors and its timely correction will reduce the incidence of chronic kidney disease.
Dispersion analysis, diseases, morbidity, early diagnosis, mortality, risk factors, chronic kidney disease
Короткий адрес: https://sciup.org/14117875
IDR: 14117875 | DOI: 10.33619/2414-2948/58/16