Assessment of risk of type 2 diabetes using simplified Indian Diabetes Risk Score - Community-based cross-sectional study

Brahmbhatt, Krutarth R; Chakraborty, Tamal; Gopal, Chandana; Shwethashree, M; Madappady, Sajjan; Ta, Sowndarya; Anbalagan, Bharani Kumar

doi:10.5455/ijmsph.2016.16052016517

Cited by 13 publications

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“…In a similar study conducted by Brahmbhatt et al in urban area of south India reported 34% of the population were found in high risk category which is also lower than this study. 5 In another study done by Nandeshwar et al in Bhopal city, 68.8% of the population were in high risk category which is more than this study. 7 This risk difference may be due to variance in life-styles of the population and also an indicator to know that if risk factors are not reversed then one is likely to get diabetes.…”

Section: Discussioncontrasting

confidence: 49%

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Prediction of risk of type 2 diabetes mellitus using Indian diabetes risk score: a cross sectional study in urban field practice area of a medical college, Bagalkot

Mannapur

Sidenur

Dorle

2018

Int J Community Med Public Health

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Background: Diabetes is considered as a global emergency where a person dies from diabetes every 6 seconds and diabetes is seen on 1 in 11 adults. Identification of individuals who are at risk is very much necessary to prevent diabetes in India. IDRS could also help to detect people at risk of having prediabetes. The objective of the study were to estimate the prevalence of diabetes mellitus in the age group of >20 years in urban field practice area of S.N. Medical college, Bagalkot and to identify high risk subjects using Indian diabetes risk score (IDRS).Methods: A cross sectional study was done in urban field practice area of S.N. Medical College among adults >20 years of age with sample size of 207. Systematic random sampling was used to select the subjects. Data was collected using standardised questionnaire which included socio-demographic profile, standard glucometer was used to measure random blood glucose for all participants. IDRS was used to ascertain the risk of developing diabetes. Data was analysed using Pearson’s Chi square test and Fischer exact.Results: The overall prevalence of diabetes was 14.1%. Among 206 subjects, 4.8% were in low risk category. 39.6% and 55.1% were in moderate and high risk category respectively. Total of 11 subjects were newly diagnosed in our study. Among them 10 subjects were in the high risk category and 1 was in the low risk category. Sensitivity of IDRS was 90%, specificity 50%, positive predictive value 43.8% and negative predictive value 96.74%..Conclusions: This study estimates the usefulness of simplified Indian diabetes risk score for identifying high risk diabetic subjects in the community. It can be used routinely in community-based screening to find out high risk people for diabetes so that proper intervention can be done to reduce the burden of the disease.

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Section: Discussioncontrasting

confidence: 49%

“…According to a cross sectional study by Brahmbatt et al the prevalence of at risk subjects for diabetes was 34% in urban area of Mangalore. 5 Sample size was calculated as:…”

Section: Sample Sizementioning

confidence: 99%

Prediction of risk of type 2 diabetes mellitus using Indian diabetes risk score: a cross sectional study in urban field practice area of a medical college, Bagalkot

Mannapur

Sidenur

Dorle

2018

Int J Community Med Public Health

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“…7 In a study done by Krutharth et al in urban Mangalore, Karnataka, the differences between gender and IDRS components like waist circumference and physical activity was found to be statistically significant. 9 However, in our study we observed that there was statistically significant difference between gender and family history of diabetes component of IDRS (p=0.001) but not with other components like age, waist circumference and physical activity. In a study conducted by Gupta et al in urban Pondicherry, it was found that 6.4% of individuals who were underweight had high IDRS score whereas this proportion was 44.5% among obese individuals.…”

Section: Discussioncontrasting

confidence: 46%

Association of socio-demographic variables and risk of type 2 diabetes using Indian diabetes risk score: a cross-sectional study in urban Mysuru

Ahmed

Amrutha

2018

Int J Community Med Public Health

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INTRODUCTIONEpidemiological transitions in India in the 21st century have led to non-communicable diseases becoming a major public health problem of growing magnitude. One of the important diseases in this respect is diabetes, which is considered a "disease of urbanization".1-3 About 422 million people worldwide have diabetes. India has 69.2 million people living with diabetes out of a population of 1.3 billion (8.7%) as per the 2015 data. Of these, it remained undiagnosed in more than 36 million people. In 2015, over 0.9 million deaths in India were attributed to ABSTRACT Background: About 422 million people worldwide have diabetes. India has 69.2 million people living with diabetes out of a population of 1.3 billion (8.7%) as per the 2015 data. Of these, it remained undiagnosed in more than 36 million people. Early identification of at-risk individuals and appropriate lifestyle intervention would help in preventing or postponing the onset of diabetes mellitus. Present study aimed to study the association of IDRS components with socio demographic and anthropometric variables among adults in urban area of Mysore. Methods: A community-based cross sectional study was conducted in the urban areas of the field practice area of Mysore Medical College and Research Institute. The study was conducted between March and July 2015. Using the estimation set up technique for proportion, the sample size was calculated to be 872 rounded off to 900, with level of significance of 5% and precision of 10%. Risk level for diabetes was assessed using Indian Diabetic Risk Score (IDRS) and sociodemographic and anthropometric factors were assessed through a semi structured pretested questionnaire. Results: Of 900 participants, 197 (21.9%) had a high risk score (IDRS ≥60), the majority of participants (383; 42.5%) were in the moderate-risk category (IDRS 30-50). There was statistically significant difference between type of family and different risk categories under age component of IDRS (p<0.0005). Statistical significance was observed for marital status and SES among different age groups. Association was found significant between family history of diabetes component of IDRS and gender. There was also statistically significant difference between SES and different risk categories under family history of diabetes component of IDRS (p<0.0005). Conclusions: IDRS should be used routinely in community-based screening to find out high risk category of population for diabetes.

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“…Result of this study is similar to the present study. [9] Gokhale et al studied 184 patients attending diabetic OPD of Dr. D. Y. Patil Medical College, Pimpri, Pune. The mean WC of this study is 94.76 cm which is more than our study.…”

Section: Discussionmentioning

confidence: 99%

“…These variables predict diabetes mellitus with optimum sensitivity and specificity and have high positive and negative predictive value. [9,10] The waist circumference (WC), body mass index (BMI), and waist-hip ratio (WHR) are three parameters to evaluate body fat and fat repartition in adults. Some authors showed that BMI and WHR were predictor of Type 2 diabetes outcome.…”

Section: Introductionmentioning

confidence: 99%

A study of waist circumference, hip-waist ratio as markers of Type 2 diabetes mellitus in male population of North Karnataka

Gitte¹,

Taklikar²

2017

Natl J Physiol Pharm Pharmacol

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Background: Type 2 diabetes mellitus belongs to a group of diseases labeled as "lifestyle diseases" and is on the rise in Asians, especially Indians. It is estimated that by 2030, the number of people with diabetes will increase to more than 366 million. Aims and Objectives: This study was conducted to assess risk for Type 2 diabetes mellitus among study participants using waist circumference (WC) and waist-hip ratio (WHR). This study will also find out impact of WC and WHR as risk factor in recently diagnosed Type 2 diabetes mellitus patients. Materials and Methods: The clinical study includes subject population from and nearby areas of Raichur, Karnataka. A total of 150 patients who were diagnosed for first as Type 2 diabetes were included in this study. A total of 150 normal patients from the same area were chosen for comparison of data. Results: The mean WC for diabetics is 102.44 cm and for non-diabetics 96.60 cm. The mean hip circumference for diabetics is 107.15 cm and for non-diabetics 102.15 cm. The mean WHR for diabetics is 0.9527 and for non-diabetics 0.9368. We conclude that 36% population of North Karnataka region in of developing Type 2 diabetes mellitus using WC and WHR as indicator. Conclusion: WC provides unique indicator of body fat distribution, which can identify patients at the risk of diabetes mellitus. WHR more than 0.9 found in 98 (65.33%) freshly diagnosed diabetics and 69 (46%) non-diabetics.

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Assessment of risk of type 2 diabetes using simplified Indian Diabetes Risk Score - Community-based cross-sectional study

Cited by 13 publications

References 0 publications

Prediction of risk of type 2 diabetes mellitus using Indian diabetes risk score: a cross sectional study in urban field practice area of a medical college, Bagalkot

Prediction of risk of type 2 diabetes mellitus using Indian diabetes risk score: a cross sectional study in urban field practice area of a medical college, Bagalkot

Association of socio-demographic variables and risk of type 2 diabetes using Indian diabetes risk score: a cross-sectional study in urban Mysuru

A study of waist circumference, hip-waist ratio as markers of Type 2 diabetes mellitus in male population of North Karnataka

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