PREVALENCE AND PREDICTORS OF DIABETES AMONG ADULTS IN RURAL DHARWAD, INDIA: A CROSS-SECTIONAL STUDY
DOI:
https://doi.org/10.22159/ajpcr.2018.v11i5.23582Keywords:
Diabetes, Prevalence, Risk factors, Pre-Diabetes, Sociodemographic, AnthropometricAbstract
 Objective: Diabetes is a long life chronic non-communicable disease and emerging fast as one of the most serious health problems in developed and developing countries, also influences the risk of developing macrovascular complication including heart disease and stroke which are the leading causes of global death. This study aims to find the potential risk factors associated to diabetes among different community (Government, Private employees, and Businessmen) of adults 20 years and above.
Methods: A cross-sectional study followed and conducted door-to-door survey using World Health Organization STEP Surveillance (WHO STEPS) questionnaire to collect the information of sociodemographic, anthropometric and behavioral characteristics. Multiple logistic regression is used to determine the risk factors of diabetes among study population. Data was pre-processed and used Chi-square test and t-test to find the comparison between the attributes.
Results: Overall prevalence of diabetes is found to be 49.1% in which prevalence more in females with 51.7% than in males with 46.8%, the education, health examination, and waist circumference were found to be the potential risk factors. The total study subjects include 1083 in which male is 611 and female is 472.
Conclusion: The current study reflects the importance of Diabetes disease among the study population in rural Dharwad and this study can be utilized to control and prevent diabetes. It's an early call for the females of the study population to take care and practice healthy food in day today life and the outcome of the study says that the education should be given prime importance in everyone's life.
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References
International Diabetes Federation. IDF Diabetic Atlas. 7th ed. Available from: http://www.idf.org/idf-diabetes-atlas, seventh-edition. [Last accessed on 2016 Aug 30].
Hwang CK, Han PV, Zabetian A, Ali MK, Narayan KM. Rural diabetes prevalence quintuples over twenty-five years in low-and middle-income countries: A systematic review and meta-analysis. Diabetes Res Clin Pract 2012;96:271-85.
Dasappa H, Fathima FN, Prabhakar R, Sarin S. Prevalence of diabetes and pre-diabetes and assessments of their risk factors in urban slums of Bangalore. J Fam Med Primary Care 2015;4:399-404.
Okwechime IO, Roberson S, Odoi A. Prevalence and predictors of pre-diabetes and diabetes among adults 18 years or older in Florida: A Multinomial logistic modelling approach. PLoS One 2015;10:e0145781.
Akter S, Rahman MM, Abe SK, Sultana P. Prevalence of diabetes and prediabetes and their risk factors among Bangladeshi adults: A nationwide survey. Bull World Health Organ 2014;92:204-13, 213A.
Tripathy JP, Thakur JS, Jeet G, Chawla S, Jain S, Pal A, et al. Prevalence and risk factors of diabetes in a large community-based study in North India: Results from a steps survey in Punjab, India. Biomed Central 2017;9:8.
Akhtar SN, Dhillon P. Prevalence of diagnosed diabetes and associated risk factors: Evidence from the large-scale surveys in India. J Soc Health Diabetes 2017;5:28-36.
Available from: http://www.census2011.co.in/data/village/602272-kelgeri-karnataka.html.
Available from: http://www.who.int/chp/steps/STEPS_Instrument_v2.1.pdf.
Qamar M, Rashid R, Ahmad S, Shaikh FA, Ismail NE. Awareness of diabetes mellitus among general public in Shah Alam, Malaysia: A cross-sectional study. Asian J Pharm Clin Res 2017;10:192-6. Available from: https://www.innovareacademics.in/journals/index.php/ajpcr/article/view/17747.
Arafat M, Salam A, Arafat O. The association of Type 2 diabetes with obesity and other factors: In multinational community. Int J Pharm Pharm Sci 2014;6:257-60. Available from: http://www.innovareacademics.in/journals/index.php/ijpps/article/view/2179/1230.
Shah A, Afzal M. Prevalence of diabetes and hypertension and association with various risk factors among different Muslim populations of Manipur, India. J Diabetes Metabol Disord 2013;12:52.
Valliyot B, Sreedharan J, Muttappallymyalil J, Valliyot SB. Risk factors of Type 2 diabetes mellitus in the rural population of North Kerala, India: A case control study. Diabetol Croatica 2013;42:1-41
Zia A, Bhatti A, Wang FJ, John P, Kiani AK, Zafar J, et al. Prevalence of Type 2 diabetes-associated complications in Pakistan. Int J Diabetes Dev Ctries 2015;36:179-88.
Rao CR. A study on the prevalence of Type 2 diabetes in coastal Karnataka. Int J Diabetes Dev Ctries 2010;30:80-5.
Narayanamurthy MR, Baghel RK, Siddalingappa H. Prevalence and factors influencing Type 2 diabetes mellitus in rural Mysore. Int J Diabetes Dev Ctries 2014;35:75-8.
Ramachandran A, Snehalatha C, Kapur A, Vijay V, Mohan V, Das AK, et al. High prevalence of diabetes and impaired glucose tolerance in india: National urban diabetes survey. Diabetologia 2001;44:1094-101.
Ebrahimi H, Emamian MH, Shariati M, Hashemi H, Fotouh A. Diabetes mellitus and its risk factors among a middle-aged population of Iran, a population-based study. Int J Diabetes Dev Ctries 2015;36:189-96.
Saeed KM, Asghar RJ, Ansar MN. Prevalence and risk factors associated with diabetes mellitus among Kabul citizens-Afghanistan 2012. Int J Diabetes Dev Ctries 2015. DOI: 10.1007/s13410-014-0270 3.
Patil RS, Gothankar JS. Assessment of risk of Type 2 diabetes using the Indian diabetes risk score in an urban slum of Pune, Maharashtra, India: A cross-sectional study. WHO South East Asia J Public Health 2016;5:53-61.
Meng XH, Huang YX, Rao DP, Zhang Q, Liu Q. Comparison of three data mining models for predicting diabetes or prediabetes by risk factors. Kaohsiung J Med Sci 2013;29:93-9.
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