IMPACT OF SOCIO-DEMOGRAPHIC, LIFESTYLE AND NUTRITIONAL FACTORS ON HYPERGLYCAEMIA AMONG MALE UNIVERSITY EMPLOYEES
DOI:
https://doi.org/10.69656/pjp.v21i3.1844Keywords:
Body Mass Index, Diet, Hyperglycaemia, Life Style, Obesity, Sleep QualityAbstract
Background: Hyperglycaemia poses significant health risks. This study investigates hyperglycaemia among male university employees due to their high-risk lifestyle factors and higher prevalence of diabetes in Pakistani males. Methods: The study was conducted among male university employees (teaching and support staff, n=243) at a university in Peshawar, Pakistan. Socioeconomic and lifestyle data were collected using validated questionnaires. Nutritional assessments included physical measurements and diet quality evaluation. Weight, height, and waist circumference (WC), were taken with standardized tools. Body composition parameters, including body mass index (BMI), total body fat (TBF), and visceral body fat (VBF), were assessed using validated techniques. Diet quality was evaluated through subjective measures. Fasting blood glucose (FBG) levels were determined with a glucometer. Results: Significant associations were observed between hyperglycaemia and anthropometric indicators, as well as body composition. Hyperglycaemic individuals had higher BMI (30.5 vs 24.9 Kg/m²), TBF (29.4% vs 22.2%), VBF (13.6% vs 8.3%), and WC (100.0 Cm vs 90.7 Cm), indicating central obesity. Hyperglycaemic participants also exhibited lower physical activity levels and poorer sleep quality. Linear regression analysis revealed significant predictors of FBG levels, with TBF (?=1.63, p<0.05) and BMI (?=1.80, p<0.05) positively associated, while higher consumption of the five food groups was negatively associated (?=-4.00, p<0.05). Conclusion: The findings underscore the importance of body composition, particularly BMI and TBF, in predicting hyperglycaemia. Promoting balanced diets and minimizing ultra-processed food consumption are essential strategies to mitigate hyperglycaemia risk among university employees.
Pak J Physiology 2025;21(3):37–40, DOI: https://doi.org/10.69656/pjp.v21i3.1844
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References
Basiri R, Seidu B, Cheskin LJ. Key nutrients for optimal blood glucose control and mental health in individuals with diabetes: A review of the evidence. Nutrients 2023;15(18):3929.
Varalakshmi D, Rekha K. The impact of exercise on glycemic control, cardiorespiratory, BMI and quality of life in postmenopausal diabetic women: a comprehensive review. Rom J Diabetes Nutr Metab Dis 2024;31(1):82–92.
Hantzidiamantis PJ, Awosika AO, Lappin SL. (Eds). Physiology, glucose. StatPearls [Internet]: StatPearls Publishing; 2024.
Sharif S, Manzoor F, Khan F, Naz S. Prevalence of diabetic retinopathy in diabetic subjects visiting diabetic centers of Lahore, Pakistan: Prevalence of diabetic retinopathy in diabetic subjects. Pak J Health Sci 2024;5(2):65–9.
Mathu Reka S, Vijayanchali SS, Lakshmanan S, Priya MV, Kesavaraj G, Samuel M. A brief narrative review on prevalence of diabetes in Tamil Nadu. Texila Int J Public Health 2024;24(5):012.
Papakonstantinou E, Oikonomou C, Nychas G, Dimitriadis GD. Effects of diet, lifestyle, chrononutrition and alternative dietary interventions on postprandial glycemia and insulin resistance. Nutrients 2022;14(4):823.
Kavouras SA, Panagiotakos DB, Pitsavos C, Chrysohoou C, Anastasiou CA, Lentzas Y, et al. Physical activity, obesity status, and glycemic control: the ATTICA study. Med Sci Sports Exerc 2007;39(4):606–11.
Alhyas L, McKay A, Balasanthiran A, Majeed A. Prevalences of overweight, obesity, hyperglycaemia, hypertension and dyslipidaemia in the Gulf: systematic review. JRSM Short Rep 2011;2(7):55.
Mohajan D, Mohajan HK. Obesity and its related diseases: a new escalating alarming in global health. J Innov Med Res 2023;2(3):12–23.
Çakmur H, (Ed). Body Mass Index: Overweight, Normal Weight, Underweight. BoD–Books on Demand; 2023.
Bener A, Yousafzai MT, Darwish S, Al-Hamaq AO, Nasralla EA, Abdul-Ghani M. Obesity index that better predict metabolic syndrome: body mass index, waist circumference, waist hip ratio, or waist height ratio. J Obes 2013;2013(1):269038.
Miklishanskaya SV, Orlovsky A, Chigineva VV, Karlova NA, Muksinova MD, Mazur NA. Assessment of visceral adipose tissue in patients with coronary artery disease using bioelectrical impedance analysis. Russ J Cardiol 2022;27(1):4629.
Yeo YT. The relationship between sugary-sweetened beverages (SSB) intake, anthropometric indices and fasting blood glucose (FBG) level among male and female students from Universiti Tunku Abdul Rahman (UTAR) Kampar: (BS (H) Project Report) UTAR; 2023.
Tur JA, Romaguera D, Pons A. The Diet Quality Index-International (DQI-I): is it a useful tool to evaluate the quality of the Mediterranean diet? Br J Nutr 2005;93(3):369–76.
Bergier M, Bergier B. Level of physical activity among persons from Independent Cultural Centers according to the IPAQ classification. Cent Eur J Sport Sci Med 2021;36(4):37–44.
Carpenter JS, Andrykowski MA. Psychometric evaluation of the Pittsburgh sleep quality index. J Psychosom Res 1998;45(1):5–13.
Ogaji DS. Book of Abstracts of Papers Presented at the 18th Annual Scientific Conference of the National Postgraduate Medical College of Nigeria, Port Harcourt 2024 (15–21 September 2024). Niger Postgrad Med J 2024;31(4):353–409.
Cárdenas L, Vallbona C, Baker S, Yusim S. Adult onset diabetes mellitus: glycemic control and family function. Am J Med Sci 1987;293(1):28–33.
Bergman RN, Van Citters GW, Mittelman SD, Dea MK, Hamilton-Wessler M, Kim SP, et al. Central role of the adipocyte in the metabolic syndrome. J Investig Med 2001;49(1):119–26.
Ho LJ, Sheu WH, Lo SH, Yeh YP, Hwu CM, Huang CN, et al. Unhealthy lifestyle associated with increased risk of macro-and micro-vascular comorbidities in patients with long-duration type 2 diabetes: results from the Taiwan Diabetes Registry. Diabetol Metab Syndr 2023;15(1):38.
Taghavi F, Rahban M, Moosavi-Movahedi AA. Lifestyle in the regulation of diabetic disorders. In: Rationality and Scientific Lifestyle for Health. Cham: Springer International Publishing; 2021.p. 129–53.
Alsudairy NM, Kariri AN, Alghamdi OK, Aljohani LMM, Alahmadi SFM, Abu Shabib FKF, et al. Quality of sleep and its effect on glycemic control. J Adv Zool 2024;45(1):250–6.
Reutrakul S, Punjabi NM, Van Cauter E. Impact of sleep and circadian disturbances on glucose metabolism and type 2 diabetes. In: Cowie CC, Casagrande SS, Menke A, Cissell MA, Eberhardt MS, Meigs JB, et al. (Eds). In: Diabetes in America. 3rd ed. Bethesda (MD): National Institute of Diabetes and Digestive and Kidney Diseases (US); 2018. Chapter 25.
Abdelhamed MH, Salah S, ALqudsi KK, Jan MM, Alahdal DK, Alfaifi SA, et al. Indices of insulin resistance and adiposity can detect obesity-related morbidity in pediatrics. Saudi Med J 2022;43(2):161–8.
Kidwai SS, Bashir F, Nageen A, Munir S, Ara J. Visceral adiposity: a major predictor in diabetes and hypertension. J Obes Weight Loss 2017;2(1):100007.
Mirabelli M, Chiefari E, Arcidiacono B, Corigliano DM, Brunetti FS, Maggisano V, et al. Mediterranean diet nutrients to turn the tide against insulin resistance and related diseases. Nutrients 2020;12(4):1066.
Schwingshackl L, Schwedhelm C, Galbete C, Hoffmann G. Adherence to Mediterranean diet and risk of cancer: an updated systematic review and meta-analysis. Nutrients 2017;9(10):1063.
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Copyright (c) 2025 Anosha Khan Shafee, Zia ud Din, Muhammad Ibrar, Adeena Aman, Mahnoor Nadeem, Muneeba Shah, Malaika Khan Shafee, Sana Shahid
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