Risk assessment of Diabetes using the Indian Diabetes Risk Score in an urban resettlement colony of East Delhi

Acharya, Anal; Debbarma, Shibajee; Rasania, Sanjeev Kumar; Tiwari, Nidhi; Bachani, Damodar; Khandekar, Jyoti

doi:10.47203/ijch.2020.v32i02.010

Cited by 7 publications

(9 citation statements)

References 10 publications

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“…The overall mean age was 43.38±11.26 years with range 30-75 years in their study. 20 The mean age is 40.13±15 years was found in our study. Sarkar et al in their study found mean age of 33.1±8.15 years and majority 64% belonging to less than 35 years which was similar to our study.…”

Section: Discussionsupporting

confidence: 52%

Indian diabetic risk score as a screening tool for assessment of diabetes in urban and rural areas in Andhra Pradesh

Sri

Rao

Naidu

et al. 2022

Int J Community Med Public Health

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Background: Diabetes mellitus is a major public health problem in Andhra Pradesh and Indian diabetes risk score (IDRS) is a cost-effective tool for screening of undiagnosed diabetic individuals in the community. The objectives of this study were to assess the sensitivity and specificity of IDRS method as a screening tool in community as well as to determine the importance of stress scale in relation with diabetes. Methods: This cross-sectional study was conducted from April 2022 to May 2022 among 18 years and above residing in select areas of Prakasam and Visakhapatnam districts. House to house survey was done for collecting data on IDRS with pretested questionnaire. Cohen's perceived stress scale was used to assess the level of stress. Results: Out of 200 study subjects, 53.5% were males, mean age was 40.13±15 years and 23% were illiterate. The overall prevalence of diabetes was 21.0%, as per IRDS, 20.5% were in low-risk category. 44.5% and 31.5% were in moderate and high-risk category respectively. No physical exercise- 45 (71.7%), consumption of non-vegetarian food- 43 (65%), low consumption of fruits- 47 (74.6%) among high-risk category. Sensitivity of IDRS was 50.6%, specificity 71.6%, positive predictive value 33.8% and negative predictive value 86.3%. Mean perceived stress score was found to be 19.5±4.03.Conclusions: This study estimated the usefulness of Indian diabetes risk score for identifying high risk diabetic subjects in Indian urban population so that proper intervention can be done to reduce the burden of disease. Stress may be included in the IDRS.

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Section: Discussionsupporting

confidence: 52%

Indian diabetic risk score as a screening tool for assessment of diabetes in urban and rural areas in Andhra Pradesh

Sri

Rao

Naidu

et al. 2022

Int J Community Med Public Health

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“…[ 17 ] A study conducted in an Urban Resettlement Colony of Delhi reported a lower proportion (5.3%) of low risk and 94.6% of the individuals with moderate and high risk. [ 18 ] Although both results were similar, our study had more participants with moderate risk followed by high risk. However, study conducted in the urban slums of Pune by Dudeja P, et al , reported a higher proportion (77.4%) of high risk individuals.…”

Section: Discussionmentioning

confidence: 51%

Risk of developing Diabetes Mellitus among urban poor South Indian population using Indian Diabetes Risk Score

Oruganti

Kavi

Walvekar

2019

J Family Med Prim Care

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Background:Diabetes mellitus is increasing its share of burden to the health-related problems in developing countries such as India. Urban slum residents constitute the “vulnerable population” who lack the basic health amenities. Lack of effective screening for primary prevention has been one of the reasons for the rising burden.Materials and Methods:The cross-sectional study was conducted among 400 adults aged between 30 and 60 years residing in a settled slum of Rukmini Nagar area of Belagavi city, Karnataka. Data were collected after taking written informed consent from each participant using a pretested questionnaire that included demographic information and details of the risk factors. Risk of developing diabetes was assessed by using Indian Diabetes Risk Score. Results are expressed as proportions, and analysis was done using Chi-square test and multiple logistic regression analysis.Results:The mean age of participants was 44.3 ± 8.7 years. The proportion of low, moderate, and high risk of developing diabetes mellitus was 7%, 63%, and 30%, respectively. The prevalence of newly diagnosed cases was 10.25%. Moreover, 57.1% of them with positive family history were in the high risk category; 76.9% of the sedentary workers were at higher risk; overweight and obese individuals had higher proportion of the high and moderate risk (P < 0.0001). Correlation coefficient (R) was 0.782, and coefficient of determination (R2) was 0.61.Conclusions:Our study demonstrated that advancing age, low physical activity, family history, overweight, and obesity were the prominent factors that predicted the risk of diabetes in the near future. Hence, focused interventions for urban slum dwellers are imperative and draw special attention.

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“…A study from Chennai had 37% and 45% of its participants at high risk and moderate risk, respectively [18]. Another similar study from North India revealed 43.3% of its respondents at moderate risk, while 51.4% at high risk; a Karnataka-based study found 57.2% of its participants to be at moderate risk and 33.8% at high risk [1, 19]. A similar study in rural Karnataka showed 14.84% to be at high risk and 73.19% to be at moderate risk; a study from rural Tamil Nadu showed 74.7% of its study subjects to be at moderate risk and 12.1% to be at high risk [10, 20].…”

Section: Discussionmentioning

confidence: 99%

“…The number of diabetics around the world is expected to increase from 366 million cases in 2011 to 552 million cases by 2030 as per the International Diabetes Federation (IDF) if no suitable urgent action is taken [1].…”

Section: Introductionmentioning

confidence: 99%

Vulnerability toward the development of diabetes mellitus type 2 among adults from a rural community of West Bengal, India

Gupta

Chakraborty

2021

JHR

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PurposeIndia has over half a million diabetics, with many others at risk. The Indian Diabetes Risk Score (IDRS) is a simple and validated tool used for mass screening of diabetes mellitus type 2 at the community level. This study assessed the vulnerability of developing diabetes in adults of a rural community of West Bengal using the IDRS and finds out the relationship of the risk of developing diabetes with socioclinical variables.Design/methodology/approachMulti-stage sampling was employed to select one eligible nondiabetic adult from selected families residing in the rural field practice area of a medical college in West Bengal. They were interviewed with a predesigned and pretested data collection schedule and examined.FindingsAmong 197 participants, 83.8% were female, 51.8% were illiterate and 57.4% came from Class IV of Prasad's socioeconomic scale. Of participants, 22.8% had existing known morbidities, and 23.9% had some form of substance addiction. In total, 46.8% of the participants on whom the IDRS could be applied (n = 175) were at high risk of developing diabetes (Score = 60). Gender and existing comorbidities significantly predicted a high risk of diabetes.Originality/valueA large proportion of the Indian population yet to be diagnosed with diabetes are at a high risk of having the disease. Early detection of the disease can help curtail its complications and reduce its clinical, social and economic burden. Mass screening tools like the IDRS thus become a very important tool in India's attempts to fight diabetes.

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Risk assessment of Diabetes using the Indian Diabetes Risk Score in an urban resettlement colony of East Delhi

Cited by 7 publications

References 10 publications

Indian diabetic risk score as a screening tool for assessment of diabetes in urban and rural areas in Andhra Pradesh

Indian diabetic risk score as a screening tool for assessment of diabetes in urban and rural areas in Andhra Pradesh

Risk of developing Diabetes Mellitus among urban poor South Indian population using Indian Diabetes Risk Score

Vulnerability toward the development of diabetes mellitus type 2 among adults from a rural community of West Bengal, India

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