Alkanaani, Mahmood I. M. (2026) BIOCHEMICAL AND METABOLIC VARIATIONS AMONG UNIVERSITY EMPLOYEES: A MULTIVARIATE STATISTICAL STUDY. Journal of Medical Genetics and Clinical Biology, 3 (7). ISSN 3032-1085

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Abstract

Objective: The current study aimed to identify the impact of the type of work and age on biochemical parameters in some of the employees of Samarra University. Method:The study was conducted on a number of employees of Samarra University in the city of Samarra for the period from October 2023 to January 2024, and the study included the collection of 90 samples of university employees in its various colleges and scientific, administrative and technical departments and with its various employees. Also, all the information about the employees was collected through a questionnaire that included all the information related to the subject of the study and in light of it, the employees were divided into three groups according to the type of work and its location, as the first group (the Administrative Group) included 39 employees, and the second group (the teaching group) included 33 employees, while the third group (Technicon Group) included 18 employees. Biochemical parameters included estimating the activity of Amylase enzyme, Random blood sugar, blood urea, Uric acid, and creatinine. Results:In the present study, many biochemical and oxidative stress biomarkers among university staff members were examined utilizing advanced statistical methods. The results showed a wide range of variation in the metabolic parameters, especially the random blood sugar (RBS) which exhibited a highly significant change as compared to the normal reference values (p < 0.001). Serum creatinine showed significant correlation with blood urea (r = 0.445, p = 0.001) and RBS had positive correlation with amylase activity (r = 0.251, p = 0.048). Superoxide dismutase (SOD) had strong negative correlations with RBS and blood urea. Regression analysis showed that creatinine, urea, amylase, SOD and uric acid made substantial contribution to prediction of RBS levels. ROC curve research revealed that SOD and amylase had the highest diagnostic performance. Principal component and cluster analysis demonstrated specific biochemical signatures related to metabolic and oxidative stress, highlighting the possible impact of professional and lifestyle factors on biochemical health status among university employees. Novelty: The present investigation found significant variability in metabolic and oxidative stress markers in university staff members. Advanced statistical analyses demonstrated that SOD, amylase, creatinine, and urea could be significant predictors of metabolic imbalance, and multivariate analysis discovered unique molecular signatures of oxidative stress and metabolic imbalance.

Item Type:	Article
Uncontrolled Keywords:	Biochemical Parameters, Random Blood Sugar (RBS), Oxidative Stress Biomarkers, University Employee Health, Multivariate Statistical Analysis
Subjects:	H Social Sciences
Depositing User:	admin eprints
Date Deposited:	29 Jun 2026 11:24
Last Modified:	29 Jun 2026 11:24
URI:	http://eprints.umsida.ac.id/id/eprint/16688

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