Department of Preventive & Digital Health Research

Madras Diabetes Research Foundation- Physical Activity Questionnaire (MPAQ).

The MPAQ is a standardized questionnaire used to assess physical activity patterns among adolescents, adults, and women with gestational diabetes mellitus (GDM). It captures physical activity across school, work, transport, household, and leisure-time domains, including type, frequency, duration, and intensity of activities. The tool supports community-based, clinical, and digital health research to evaluate lifestyle behaviors, monitor interventions, and study physical activity in relation to metabolic and maternal health outcomes. The MPAQ has been disseminated through structured training programs conducted by our team. To date, 14 students have been trained, including 9 in adolescent MPAQ, 4 in adult MPAQ, and 1 in GDM MPAQ, and have successfully applied the tool in their academic and research work. Read More

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ADOlescence Stress Scale

The ADOSS is a standardized, reliable, and valid instrument to assess overall stress levels in adolescents (ages approximately 10–17 years), capturing stress related to personal, academic, family, and social domains. It is used for research and clinical screening to quantify stress exposure and severity among adolescent populations. The tool has been disseminated through structured training programs conducted by our team, and to date, 22 national and international students have been trained and have utilized ADOSS for their academic and research studies. Read More

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Epidemiology

Indian Diabetes Risk Score (IDRS)

MDRF-IDRS is a simple tool to aid in the detection of undiagnosed diabetes in the community. It is based on four simple questions, namely age, waist circumference, family history of diabetes and physical activity. As it can serve as a self -assessment tool, it proves to be the most inexpensive, easiest, and secure way for the public as well as researchers to understand their metabolic health. The MDRF-IDRS was thus shown to have additional multiple applications, which include predicting incident diabetes, metabolic syndrome, coronary artery disease, non-alcoholic fatty liver disease, sleep disorders, diabetic complications, such as peripheral vascular disease and neuropathy and also help distinguish type 2 from non-type 2 diabetes. MDRF-IDRS has thus been found to be suitable for cost-effective screening for diabetes and its complications in Asian Indians. Performance of MDRF-IDRS is evaluated across the nation and is found to be suitable for cost effective screening for diabetes in Asian Indians. Read More

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Clinical Trials

Situational Anxiety Scale (SAS)

The aim of this study was to develop and validate the situational anxiety scale (SAS) during COVID-19 among adults with type 2 diabetes attending a tertiary diabetes center in Southern India.

Reference Link :
https://journals.lww.com/jodb/fulltext/2023/14010/development_and_validation_of_a_situational.8.aspx
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Decentralized Insight Survey

Decentralized Clinical Trials (DCT) is an emerged transformative approach in clinical research which incorporates both remote monitoring of the study and home-based activity. DCT enhances recruitment and retention compared to traditional method by disease like T2D remains unexplored in India. Understanding patient’s perception plays a vital role in implementing DCT model. To evaluate the awareness about decentralized clinical trials (DCT) in participants with type 2 diabetes. Read More

Reference Link :
https://doi.org/10.1007/s13410-025-01561-3

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Modified PHQ-12 questionnaire

In India there are very few population-based data on prevalence of depression. The aim of the study was to determine the prevalence of depression in an urban south Indian population.

Reference Link :
https://pubmed.ncbi.nlm.nih.gov/19784380/

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Department of Childhood and Youth Onset Diabetes

Type 1 diabetes Probability calculator

To effectively distinguish between type 1 (T1D) and type 2 diabetes (T2D) in adolescents and young adult populations aged 10–30 years. The integration of clinical characteristics and GAD antibody status into the classification model yields high accuracy in distinguishing T1D from T2D in Asian Indians.
This model can serve as a valuable tool to aid physicians in effectively classifying diabetes subtypes and planning treatments in South Asians

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