Distribution of glycated haemoglobin and its determinants in Indian young adults Raghuram Nagarathna a, * ,1 , Navneet Kaur b,c,1 , Akshay Anand c, * ,2 , Kanupriya Sharma c , Rima Dada d , Palukuru Sridhar a , Purnendu Sharma a , Amit Kumar Singh a , Suchitra Patil a , Hongasandra R. Nagendra a a Swami Vivekananda Yoga Anusandhana Samsthana, Bengaluru, India b Department of Physical Education, Panjab University Chandigarh, India c Neuroscience Research Lab, Department of Neurology, Postgraduate Institute of Medical Education and Research, Chandigarh, India d Department of Anatomy, Laboratory of Molecular Reproduction & Genetics, All India Institute of Medical Sciences, New Delhi, India ARTICLE INFO Article history: Received 21 October 2019 Received in revised form 23 November 2019 Accepted 12 December 2019 Available online 14 December 2019 Keywords: Indian Diabetes Risk Score Diabetes Prediabetes Glycated haemoglobin Risk factors ABSTRACT Aim: The aim of the present study is to understand the distribution of A1c in four different age groups in young adults and its relation to other co-variants. Methods: The countrywide data was collected in 2017 in Individuals with high risk analysed by Indian Diabetes Risk Score (IDRS) and self-declared diabetics were identified after screening a sample of 240,968 individuals from rural (4 villages of about 500 adults each) and urban (4 census enumeration blocks of about 500 adults each) population spanning 65 districts of 29 states/UTs of Indian subcontinent. Blood tests and other detailed assess- ments were carried out on this selected group. This study presents the analysis of the A1c values of 2862 young adults (<35 years). Results: In the age group of 31–34 years, the proportion of Diabetes (22.36%) and Prediabetes (9.86%) was higher in comparison with younger age groups. Also, Diabetes (7.3%) and Pre- diabetes (22%) were highest among those who had parental history of DM in both parents as compared to those with Diabetes history in one parent [Diabetes (7.1%) or Prediabetes (19.0%)] and no Diabetes Parental History (Diabetes (7.3%) and Prediabetes (18.3%) cases. BMI was found to play a significant positive correlation with Diabetes and Prediabetes (p < 0.001) with range of A1c. Conclusion: Age, BMI and parental history were found to be correlated with A1c levels in IDRS screened high-risk population. With increasing age, the proportion of Diabetics and Prediabetics also increased with positive correlation of age with A1c levels. Ó 2019 Published by Elsevier B.V. https://doi.org/10.1016/j.diabres.2019.107982 0168-8227/Ó 2019 Published by Elsevier B.V. * Corresponding authors. E-mail addresses: rnagaratna@gmail.com (R. Nagarathna), akshay1anand@rediffmail.com (A. Anand). 1 Equal first. 2 Co-corresponding author. diabetes research and clinical practice 159 (2020) 107982 Contents available at ScienceDirect Diabetes Research and Clinical Practice journal homepage: www.elsevier.com/locate/diabres