International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences
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Investigating The Demographic Predictors of Chronic Kidney Disease In Population-Based Studies

Authors: Mohammed Saleh Abdulkareem Al Juma, Mohammed Abdullah Ali Al Nosyan, Faleh Shaman Ayad Alharbi, Bander Nasser alharbi, Mohammed Rashed Aldhahri, Rashed Faisal Rashed Alharbi

DOI: https://doi.org/https://doi.org/10.5281/zenodo.11950578

Short DOI: https://doi.org/gtztgm

Country: Saudi Arabia

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Abstract: Chronic kidney disease (CKD) is a widespread health issue that affects a significant portion of the global population. Understanding the demographic predictors of CKD is crucial for identifying high-risk populations and implementing targeted prevention and treatment strategies. This essay investigates the demographic predictors of CKD in population-based studies, focusing on factors such as age, gender, race/ethnicity, socioeconomic status, and comorbidities. The methodology involves a review of existing literature from reputable journals to analyze the relationship between demographic variables and CKD prevalence. The discussion highlights the importance of early detection and management of CKD in high-risk populations to reduce the burden of kidney disease on healthcare systems. In conclusion, addressing demographic predictors of CKD through targeted interventions is essential for improving health outcomes and reducing healthcare disparities.

Keywords: chronic kidney disease, demographic predictors, population-based studies, age, gender, race/ethnicity, socioeconomic status, comorbidities


Paper Id: 230690

Published On: 2019-09-26

Published In: Volume 7, Issue 5, September-October 2019

Cite This: Investigating The Demographic Predictors of Chronic Kidney Disease In Population-Based Studies - Mohammed Saleh Abdulkareem Al Juma, Mohammed Abdullah Ali Al Nosyan, Faleh Shaman Ayad Alharbi, Bander Nasser alharbi, Mohammed Rashed Aldhahri, Rashed Faisal Rashed Alharbi - IJIRMPS Volume 7, Issue 5, September-October 2019. DOI https://doi.org/10.5281/zenodo.11950578

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