Epidemiology of Type-II Diabetes and its Risk Factors in Punjab, Pakistan: A Retrospective Study

  • Rana Mateen Department of Life Sciences, School of Science, University of Management and Technology, Lahore, Pakistan
  • Asma Tariq Institute of Biochemistry and Biotechnology, University of the Punjab, Lahore, Pakistan
  • Mureed Hussain Department of Life Sciences, School of Science, University of Management and Technology, Lahore, Pakistan
  • Muhammad Irfan Fareed Department of Life Sciences, School of Science, University of Management and Technology, Lahore, Pakistan
  • Waseem Sajjad Department of Life Sciences, School of Science, University of Management and Technology, Lahore, Pakistan
  • Imran Tipu Department of Life Sciences, School of Science, University of Management and Technology, Lahore, Pakistan
  • Rukhsana Parveen Centre for Applied Molecular Biology, University of the Punjab, Lahore, Pakistan
Keywords: BMI, diet, diabetes, lifestyle, risk factor

Abstract

Abstract Views: 0

Type-II diabetes is the most common type of diabetes, which has affected more than 465 million people globally and has become the ninth leading cause of mortality. The current study aims to determine risk factors associated with type-II diabetes such as BMI, cholesterol levels, physical activity, and smoking along with co-morbidities associated with this disease. The data was collected from the province of Punjab, Pakistan. For this purpose, a survey was performed for investigating the prevalence of type II diabetes and associated risk factors combined with it. A sample size of 265 patients was collected and interviewed through a questionnaire who were observed having type-II diabetes. A questionnaire was designed to record these patients’ responses. The questionnaire contained sub-categorizes, such as participants characteristics, lifestyle, and comorbidities associated with the disease. The findings indicated that the mean BMI was 25.62 in the studied cohort. However, 78% of the patients had a family history of diabetes. Moreover, 76% of the participants were reported to be non-smokers and 75.67% of the participants reported atypical features associated with this disease. It was also observed that 13 % of the patients with low BMI (less than 18.5) had gastrointestinal diseases and 14.72% of the patients with a BMI greater than 18.5 but less than 25 had hypertension, and 8.30 % of the patients with more than 30 BMI also had hypertension. High BMI was found to be a major risk factor associated with type-II diabetes in this study population. The patients observed with high BMI were also more prone towards comorbidities associated with this disease. However, data suggested that most of the patients had familial type-II diabetes.

Downloads

Download data is not yet available.

References

Lozano R, Naghavi M, Foreman K, et al. Global and regional mortality from 235 causes of death for 20 age groups in 1990 and 2010: a systematic analysis for the global burden of disease study 2010. Lancet. 2012;380(9859):2095–2128. https://doi.org/10.1016/S0140-6736(12) 61728-0

Takasu N, Yogi H, Takara M, et al. Influence of motorization and supermarket-proliferation on the prevalence of type 2 diabetes in the inhabitants of a small town on Okinawa, Japan. Inter Med. 2007;46(23):1899–1904. https://doi.org/10.2169/internalmedicine. 46.0387

Khang Y-H. Burden of noncommunicable diseases and national strategies to control them in Korea. J Preven Med Public Health. 2013;46(4):155–164. https://doi.org/10.3961/jpmph.2013.46.4.155

Ikeda N, Inoue M, Iso H, et al. Adult mortality attributable to preventable risk factors for non-communicable diseases and injuries in Japan: a comparative risk assessment. Plos Med. 2012;9(1):e1001160. https://doi.org/10.1371/journal.pmed.1001160

Kim HC, Oh SM. Noncommunicable diseases: current status of major modifiable risk factors in Korea. J Prev Med Public Health. 2013;46(4):165–172. https://doi.org/10.3961/jpmph.2013.46.4.165

Mitrakas A, Zaitch D. Law, cybercrime and digital forensics: trailing digital suspects. In: Nemati H, ed., Information Security and Ethics: Concepts, Methodologies, Tools, and Applications. IGI Global; 2018:1681–1700. https://doi.org/10.4018/978-1-59904-937-3.ch115

Prospective Studies Collaboration. Body-mass index and cause-specific mortality in 900 000 adults: collaborative analyses of 57 prospective studies. Lancet. 2009:373(9669);1083–1096. https://doi.org/10.1016 /S0140-6736(09)60318-4

Chen Y, Copeland WK, Vedanthan R. Association between body mass index and cardiovascular disease mortality in east Asians and south Asians: pooled analysis of prospective data from the Asia Cohort Consortium. BMJ. 2013;347:ef5446. https://doi.org/10.1136/bmj.f5446

Hu FB, Manson JE, Stampfer MJ, et al. Diet, lifestyle, and the risk of type 2 diabetes mellitus in women. New Eng J Med. 2001;345(11):790–797. https://doi.org/10.1056/NEJMoa010492

Hu FB, Sigal RJ, Rich-Edwards JW, et al. Walking compared with vigorous physical activity and risk of type 2 diabetes in women: a prospective study. JAMA. 1999;282(15):1433–1439. https://doi.org/10. 1001/jama.282.15.1433

International Diabetes Federation. IDF diabetes atlas. IDF Diabetes Atlas Web site. https://www.diabetesatlas.org/upload/resources/ material/20200302_133351_IDFATLAS9e-final-web.pdf. Accessed November 26, 2022

Punjab population 2020. Worldometer Web site. https://www.worldometers.info/world-population/pakistan-population/#:~:text=Pakistan%202020%20population%20is%20estimated,of%20the%20total%20world%20population. Accessed November 26, 2020.

Charan J, Biswas T. How to calculate sample size for different study designs in medical research? Ind J Phsychol Med. 2013;35(2):121–126. https://doi.org/10.4103/0253-7176.116232

Center for Disease Control and Prevention. https://www.cdc.gov/healthyweight/assessing/bmi/childrens_bmi/childrens_bmi_formula.html. Accessed November 8, 2020.

Hu FB. Globalization of diabetes: the role of diet, lifestyle, and genes. Diabetes Care. 2011;34(6):1249–1257. https://doi.org/10.2337/dc11-0442

Fuster V, Kelly BB, Vedanthan R. Promoting global cardiovascular health: moving forward. Circulation. 2011;123(15):1671–1678. https://doi.org/10.1161/CIRCULATIONAHA.110.009522

Islam SM, Purnat TD, Phuong NT, Mwingira U, Schacht K, Fröschl G. Non‐Communicable Diseases (NCDs) in developing countries: a symposium report. Global Health. 2014;10:e81. https://doi.org/10.1186/s12992-014-0081-9

Ramires V, Becker L, Sadovsky A, Zago A, Bielemann R, Guerra P. Evolution of epidemiological research on physical activity and sedentary behavior in Brazil: update of a systematic review. Revis Brasil de Ativid Física Saúde. 2014;19(5):529–529. https://doi.org/10. 12820/rbafs.v.19n5p529

Brasil. Ministério da Saúde. 2020 https://www.saude. gov.br/images /pdf/2020/April/16/Boletim-epidemiologico-SVS-16.pdf. Accessed November 8, 2020.

Hayes L, White M, Unwin N, et al. Patterns of physical activity and relationship with risk markers for cardiovascular disease and diabetes in Indian, Pakistani, Bangladeshi and European adults in a UK population. J Public Health. 2002;24(3):170–178. https://doi.org/10.1093/ pubmed/24.3.170

Resnick HE, Redline S, Shahar E. Diabetes and sleep disturbances: findings from the Sleep Heart Health Study. Diabetes Care. 2003;26(3):702–709. https://doi.org/10.2337/diacare.26.3.702

Oosterman JE, Wopereis S, Kalsbeek A. The circadian clock, shift work, and tissue-specific insulin resistance. Endocrinology. 2020:161(12):ebqaa180. https://doi.org/10.1210/endocr/bqaa180

Nyamu PN, Otieno CF, Amayo EO, McLigeyo SO. Risk factors and prevalence of diabetic foot ulcers at Kenyatta National Hospital, Nairobi. East Afr Med J. 2003;80(1):36–43. https://doi.org/10.4314/ eamj.v80i1.8664

Vadiveloo T, Jeffcoate W, Donnan PT, et al. Amputation-free survival in 17,353 people at high risk for foot ulceration in diabetes: a national observational study. Diabetologia. 2018;61(12):2590–2597. https://doi.org/10.1007/s00125-018-4723-y

Franse LV, Valk GD, Dekker JH, Heine RJ, Van Eijk JT. Numbness of the feet’is a poor indicator for polyneuropathy in Type 2 diabetic patients. Diabetic Med. 2000;17(2):105–110. https://doi.org/10. 1046/j.1464-5491.2000.00223.x

Landi F, Calvani R, Picca A. Body mass index is strongly associated with hypertension: results from the longevity check-up 7+ study. Nutrients. 2018;10(12):e1976. https://doi.org/10.3390/nu10121976

Yokomichi H, Nagai A, Hirata M, et al. Serum glucose, cholesterol and blood pressure levels in Japanese type 1 and 2 diabetic patients: BioBank Japan. J Epidemiol. 2017;27(Supplement_III):S92–S97. https://doi.org/10.1016/j.je.2016.12.013

Asia Pacific Cohort Studies Collaboration. The effects of diabetes on the risks of major cardiovascular diseases and death in the Asia-Pacific region. Diabetes Care. 2003;26(2):360–366. https://doi.org/10. 2337/diacare.26.2.360

Oki I, Nakamura Y, Okamura T, et al. Body mass index and risk of stroke mortality among a random sample of Japanese adults: 19-year follow-up of NIPPON DATA80. Cerebrovasc Dis. 2006;22(5-6):409–415. https://doi.org/10.1159/000094860

Willi C, Bodenmann P, Ghali WA, Faris PD, Cornuz J. Active smoking and the risk of type 2 diabetes: a systematic review and meta-analysis. JAMA. 2007;298(22):2654–2664. https://ddoi.org/10.1001/jama.298.22.2654

Published
2023-08-28
How to Cite
1.
Mateen R, Tariq A, Hussain M, Fareed MI, Sajjad W, Tipu I, Parveen R. Epidemiology of Type-II Diabetes and its Risk Factors in Punjab, Pakistan: A Retrospective Study . Sci Inquiry Rev. [Internet]. 2023Aug.28 [cited 2024Jun.26];7(3):68-1. Available from: https://journals.umt.edu.pk/index.php/SIR/article/view/3951
Section
Orignal Article