The Relationship Between Body Mass Index (BMI) and the Risk of Type 2 Diabetes Mellitus Among Adults: A Case Study from Gasr Al-Akhyar – Libya
DOI:
https://doi.org/10.61952/jlabw.v1i3.197Keywords:
Obesity, Diabetes Mellitus, BMIAbstract
Obesity is considered one of the most serious and widespread diseases of the modern era. Body Mass Index (BMI) is one of the principal indicators used to assess overweight and obesity. Data were collected from 100 randomly selected cases at the Primary Health Care Center in Gasr Al-Akhyar, Libya. Using standardized measurements, the relationship was analyzed through Pearson’s correlation coefficient via SAS software. The results revealed a statistically significant correlation between obesity and diabetes, particularly within the age group of 50–59 years, confirming the importance of weight control in preventing diabetes and its associated complications. This study aims to examine the relationship between elevated Body Mass Index and Type 2 Diabetes Mellitus among a sample of patients attending the Primary Health Care Center in Gasr Al-Akhyar.
References
Bhurosy, T., & Jeewon, R. (2013). Pitfalls of using body mass index (BMI) in assessment of obesity risk. Current Research in Nutrition and Food Science, 1(1), 71–76. https://doi.org/10.12944/CRNFSJ.1.1.07
Bowring, A. L., Peeters, A., Freak-Poli, R., Lim, M. S. C., Gouillou, M., & Hellard, M. (2012). Measuring the accuracy of self-reported height and weight in a community-based sample of young people. BMC Medical Research Methodology, 12(1), 1–8. https://doi.org/10.1186/1471-2288-12-175
Centers for Disease Control and Prevention. (2018). About adult BMI | Healthy weight. https://www.cdc.gov/healthyweight/assessing/bmi/adult_bmi/index.html
Centers for Disease Control and Prevention. (2017). Body mass index: Considerations for practitioners. https://www.cdc.gov/obesity/downloads/bmiforpactitioners.pdf
Chang, A. M., & Halter, J. B. (2003). Aging and insulin secretion. American Journal of Physiology-Endocrinology and Metabolism, 284(1), E7–E12. https://doi.org/10.1152/ajpendo.00366.2002
Chivvis, C., & Martini, J. (2014). Libya after Qaddafi: Lessons and implications for the future. RAND Corporation. https://www.rand.org/pubs/research_reports/RR577.html
Colditz, G. A., Willett, W. C., Rotnitzky, A., & Manson, J. E. (1995). Weight gain as a risk factor for clinical diabetes mellitus in women. Annals of Internal Medicine, 123(2), 97–106. https://doi.org/10.7326/ACPJC-1995-123-2-05
DeFronzo, R. A. (2009). Banting Lecture: From the triumvirate to the ominous octet: A new paradigm for the treatment of type 2 diabetes mellitus. Diabetes, 58(4), 773–795. https://doi.org/10.2337/db09-9028
Colditz, G. A. (1995). Weight gain as a risk factor for clinical diabetes mellitus in women. Annals of Internal Medicine, 122(7), 481–486. https://doi.org/10.7326/0003-4819-122-7-199504010-00009
Bays, H. E., Chapman, R. H., & Grandy, S. (2007). The relationship of body mass index to diabetes mellitus, hypertension, and dyslipidemia: Comparison of data from two national surveys. International Journal of Clinical Practice, 61(5), 737–747. https://doi.org/10.1111/j.1742-1241.2007.01336.x
Halls, M. D. (2016). Body mass index chart for women: Female intuition and prerogative. https://halls.md/bmi-chart-women
Harvard School of Public Health. (2019). Measuring obesity. https://www.hsph.harvard.edu/obesity-prevention-source/obesity-definition/how-to-measure-body-fatness
Kalyani, R. R., Corriere, M., & Ferrucci, L. (2014). Age-related and disease-related muscle loss: The effect of diabetes, obesity, and other diseases. The Lancet Diabetes & Endocrinology, 2(10), 819–829. https://doi.org/10.1016/S2213-8587(14)70034-8
Lemamsha, H., Randhawa, G., & Papadopoulos, C. (2018). Prevalence of overweight and obesity among Libyan men and women. BioMed Research International, 2018, 8531360. https://doi.org/10.1155/2018/8531360
Must, A., & Anderson, S. E. (2006). Body mass index in children and adolescents: Considerations for population-based applications. International Journal of Obesity, 30(4), 590–594. https://doi.org/10.1038/sj.ijo.0803300
Anokye, N. K., Pokhrel, S., & Fox-Rushby, J. (2013). Measuring the effect of opportunity cost of time on participation in sports and exercise. Open Journal of Preventive Medicine, 3(5), 358–365. https://doi.org/10.4236/ojpm.2013.35048
Public Health England. (2018). Measurement of obesity. http://www.noo.org.uk/NOO_about_obesity/measurement
Rothman, K. J. (2008). BMI-related errors in the measurement of obesity. International Journal of Obesity, 32(Suppl 3), S56–S59. https://doi.org/10.1038/ijo.2008.87
Samson, S. L., & Garber, A. J. (2014). Metabolic syndrome. Endocrinology and Metabolism Clinics, 43(1), 1–23. https://doi.org/10.1016/j.ecl.2013.09.009
Beam, W. C., & Adams, G. M. (2024). Exercise physiology laboratory manual (International student ed.). McGraw Hill. ISBN 978-1-265-21336-7
World Health Organization. (2004). Obesity: Preventing and managing the global epidemic. World Health Organization.
World Health Organization. (2006). Body mass index (BMI) classification. http://apps.who.int/bmi/index.jsp?introPage=intro_3.html
 
							
