Ibn Sina Journal of Medical Science, Health & Pharmacy

Abstract

Background: Diabetes mellitus is a chronic metabolic disorder with increasing prevalence worldwide. Understanding demographic characteristics and laboratory findings is crucial for effective management and prevention of complications. Objective: This study aimed to investigate the demographic profiles, clinical characteristics, and laboratory parameters of diabetic patients to identify patterns that could inform better disease management strategies. Methods: A cross-sectional survey was conducted involving 1,000 diabetic patients. Demographic data, including age, gender, marital status, and education level, were collected. Clinical history and laboratory tests such as fasting blood glucose, HbA1c, lipid profile, and kidney function tests were analyzed. Statistical analyses included descriptive statistics, independent t-tests, Mann-Whitney tests, Pearson correlation, and one-way ANOVA to examine differences across groups. Results: The study included 55% female and 45% male patients, with a mean age of 25 years and an average disease duration of 25 years. Most participants were married and had an education level of elementary or junior high school. Retired patients represented 15% of the sample, and urban employee medical insurance covered 15% of participants. Significant correlations were observed between HbA1c levels and disease duration (p < 0.05), highlighting the impact of long-term disease on glycemic control. Laboratory assessments revealed trends consistent with known diabetes-related metabolic disturbances. Conclusion: The findings underscore the importance of demographic and clinical profiling in diabetes care. Early identification of high-risk groups and targeted interventions based on laboratory and demographic data may improve patient outcomes and reduce complications.
Keywords: Diabetes mellitus, demographic characteristics, laboratory parameters, glycemic control, disease management.

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Article history_en

Received : Jan 06, 2024

Revised : Jan 08, 2024

Accepted : Jan 24, 2024

Authors Affiliations_en

Nihad Khasawneh

Ethics declarations_en

Acknowledgment	None
Author Contribution	All authors contributed equally to the main contributor to this paper. All authors read and approved the final paper.
Conflicts of Interest	“The authors declare no conflict of interest.”
Funding	“This research received no external funding”