Path Analysis for Investigating the Main Factors Behind Chronic Kidney Disease

توێژەران

  • Azhy Akram Aziz Department of media, College of business and administration, Erbil polytechnic University, Erbil, Kurdistan Region, Iraq
  • Aras Jalal Mhamad Department of Statistic & Informatics, College of Administration & Economics, Sulaimani University, Sulaimani, Kurdistan Region, Iraq
  • Renas Abubaker Ahmed Department of Statistic & Informatics, College of Administration & Economics, Sulaimani University, Sulaimani, Kurdistan Region, Iraq

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https://doi.org/10.25212/lfu.qzj.7.1.41

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Path Analysis, direct effects, indirect effects, kidney failure problem

پوختە

Kidney failure is a global public health problem, with increasing incidence and prevalence, high costs, and poor outcomes, there is even a substantially higher prevalence of the earlier stages of chronic kidney disease (CKD), with adverse outcomes, including loss of kidney function. Strategies to improve outcomes will require a global effort directed at the earlier stages of CKD. The study's goal is to look at the relationship between factors that causes kidney failure based on creatinine and urea. Data were collected from Delvin pathological laboratory The path analysis method results reveal is underlying mechanism through which statistical tools, as relationship between factors; phosphorus, phosphates, albumin, calcium, glucose, and patient’s age, creatinine and urea, which are caused kidney failure issue. The results show arrangement about factors effectiveness and the effects of phosphorus, phosphates, albumin, calcium, glucose, and patient’s age are statistically significant as mentioned at section five of the study. This gives the conclusion that kidney failure problem must be more concern.

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سەرچاوەکان

A.M. Kwon, C. Shin, (2016), “structural equation modeling for the effect of physical exercise on excessive daytime sleepiness”, journal of public health, The Royal Society for Public Health. Published by Elsevier Ltd.

GBD (2015) DALYs and HALE Collaborators. Global, regional, and national disability-adjusted life-years (DALYs) for 315 diseases and injuries and healthy life expectancy (HALE), 1990-2015: a systematic Analysis for the Global Burden of Disease Study 2015. Lancet 2016; 388:1603-58. [ Links ]

Hoyle, R. H. (Ed.), (2012), “Handbook of structural equation modeling”, New York: Guilford Press.

Jha V. (2013) Current status of end-stage renal disease care in India and Pakistan. Kidney Int Suppl. 2013;3(2):157–60. http://dx.doi.org/10.1038/kisup.2013.3

K.A. Bollen and J.S. Long (Ed.), (2016), “Testing Structural Equation Models”, (pp. 163–180), Beverly Hills, CA: Sage.

Kishore SP, Vedanthan R, Fuster V. (2011) Promoting global cardiovascular health ensuring access to essential cardiovascular medicines in low- and middle-income countries. J Am Coll Cardiol. 2011 May 17;57(20):1980

Robert M. Brenner, Barry M. Harrison's (2018), principles of internal Medicine, 16thedition, by Kasper, Brunwald, Fauci,Hauser, Iongo, Jameson,1639 – 1644,(2004).

Moosa MR, Maree JD, Chirehwa MT, Benatar SR (2016). Use of the ‘Accountability for reasonableness’ approach to improve fairness in accessing dialysis in a middle-incomecountry. PLoSOne.2016104;11(10): e 0164201. http://dx.doi.org/10.1371/journal.pone.0164201 pmid: 27701466

Olowu WA, Niang A, Osafo C, Ashuntantang G, Arogundade FA, Porter J, et al. (2016) Outcomes of acute kidney injury in children and adults in sub-Saharan Africa: a systematic review. Lancet Glob Health. 2016 Apr;4(4): e242–50. http://dx.doi.org/10.1016/S2214-109X(15)00322-8 pmid: 27013312

Raykov, T., & Marcoulides, G. A., (2006), “A first course in structural equation modeling”, 2nd ed., Mahwah, NJ: Erlbaum.

Hـseyin E., Ali B., Selim A, Ahmet Y., Turkish Journal of Cancer, 37, 4,( 2007).

Eshima Nobuoki, Tabata Minoru, Zhi Geng, (2001), “Path Analysis with Logistic Regression Models”: Effect Analysis of Fully Recursive Causal of System of Categorical Variables, J. Japan Statist. Soc., Vol. 31, No. 1.

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بڵاو کرایەوە

2022-03-30

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