Influence of Environmental Factors on Chronic Kidney Disease

Authors

  • Joseph Irewole Fatukasi Radiology Department, University of Medical Sciences, Ondo, Nigeria
  • Bukola Badeji-Ajisafe Afe Babalola University, Ado-Ekiti, Nigeria
  • Olanrewaju A. Agbaje Radiology Department, University of Medical Sciences, Ondo, Nigeria
  • Abimbola O. Ajibade University of Education, Science, technology, Ikere Ekiti, Nigeria
  • Idowu V. Ajibade University of Ibadan, Ibadan, Nigeria
  • Olalekan O. Ojo Federal Medical Centre, Owo, Ondo State, Nigeria
  • Oluwafemi Sarumi Federal University of Technology, Akure, Ondo State, Nigeria

DOI:

https://doi.org/10.14738/bjhmr.104.15181

Keywords:

Chronic Kidney Disease (CKD), Environmental factors, Risk factors

Abstract

Chronic kidney disease (CKD) is one of the health challenges ravaging the world presently with significant morbidity and mortality as well as enormous health cost.  Some factors are associated with increased risk of having CKD including age, gender and environmental factors such as certain occupations. This research aims to look at the age, sex and occupational distribution of patients with CKD at a tertiary hospital in Owo, Ondo State, Nigeria. The survey design gathered from the 86 dataset collected from patients with chronic renal disease attending the renal clinic. The results show that the highest age of respondents that have kidney disease is 35years. Also, trading is the most prominent occupation in patients with kidney disease. The major symptom of kidney disease is decreased urine output. The result also revealed that gender is statistically significant F(4,85) =5.816, P<0.05. Also, the result shows that age is significant to kidney disease. F(4,85) =8.225,P<0.05. Likewise, results revealed that occupation is not significant F(3,85) =1.068, P>0.05 for kidney diseases. Further results reveal a linear relationship between the three predictors (age, gender, and occupation). They significantly predicted the criterion variable F(3,85) =7.293 and accounted for 21.1%  observed variance in kidney disease. Age β=.561,t(86)=3.038P<0.05) and gender (β=.860, t(86)=4.468, P˃0.05).It has made a significant contribution to the model where gender was the most potent predictor. Based on the findings, it was concluded that age and gender have an effect on kidney disease.

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Published

2023-08-08

How to Cite

Fatukasi, J. I., Badeji-Ajisafe, B., Agbaje, O. A., Ajibade, A. O., Ajibade, I. V., Ojo, O. O., & Sarumi, O. (2023). Influence of Environmental Factors on Chronic Kidney Disease. British Journal of Healthcare and Medical Research, 10(4), 170–176. https://doi.org/10.14738/bjhmr.104.15181