Research Journal of Pharmacy and Technology
SCOPUS
  • Year: 2021
  • Volume: 14
  • Issue: 9

Prevalence of Diabetes Mellitus among Adult Slum Dwellers: A Cross Sectional Study

  • Author:
  • Akshata Guhe1, Shiril R Nagarkar2, Varsha D Pawar3, Muzahid Sheikh4, Anjalee Chivane5
  • Total Page Count: 4
  • Page Number: 4845 to 4848

1Asst. Professor, Datta Meghe College of Physiotherapy, Wanadongri, Nagpur

2Professor and HOD, Datta Meghe College of Physiotherapy, Wanadongri, Nagpur, shiril.nagarkar@gmail.com

3Associate Professor and HOD, Datta Meghe College of Physiotherapy, Wanadongri, Nagpur, varshapawar586@gmail.com

4Asst. Professor, Datta Meghe College of Physiotherapy, Wanadongri, Nagpur, msmuzahid@gmail.com

5Professor Dept. of Medicine, Jawaharlal Nehru Medical College, Datta Meghe Institute of Medical Sciences, Sawangi, Wardha, anjuk.9c@gmail.com

*Corresponding Author E-mail: guhea@yahoo.com

Online Published on 22 February, 2022.

Abstract

Prevalence of diabetes mellitus and impaired fasting glucose are reported to be highly variable among rural and urban population in India.

To estimate the prevalence of diabetes mellitus among adult slum people.

A cross sectional analytical study was carried in the field practice of tertiary health care center on adult slum dwellers on sample of 2919 by door to door survey provided they fulfill the inclusion criteria. 18 years and above both the gender was included in the study. Surveyed population is divided into three groups on the basis of Random Capillary Blood Glucose Level. (Group I -79-160mg/dl, Group II- 161-200mg/dl, Group III- >200mg/dl).

The prevalence of Diabetes mellitus is 9.28%. Out of 271, the maximum numbers of confirmed diabetic cases were falling in the age group of 51–60 years. The minimum number observed in the 3rd decades. A total 149 (28.27%) were male and 122 (27.3%) were female are diabetics. and non-diabetics.

Individual with confirmed diagnosis is at the risk of musculoskeletal symptoms.

Keywords

Diabetes mellitus, Musculoskeletal pain, Random blood capillary level, Body mass index