Increase in the risk of type 2 diabetes during lockdown for the COVID19 pandemic in India: A cohort analysis
- PMID: 32604013
- PMCID: PMC7303633
- DOI: 10.1016/j.dsx.2020.06.020
Increase in the risk of type 2 diabetes during lockdown for the COVID19 pandemic in India: A cohort analysis
Abstract
Lockdown due to the Coronavirus disease 2019 (COVID 19) pandemic may cause weight gain and enhance the risk of type 2 diabetes mellitus (T2DM). We aimed to determine this risk in apparently non-diabetic individuals.
Material methods: Baseline demographic and clinical data from 100 apparently non-diabetic household members (related or unrelated) of patients with type 2 diabetes mellitus were collected until 49 days of lockdown and analyzed using the XL-STAT statistical software. A two-pronged analytical strategy was employed. First, the metabolic risk profile related to age, sex, weight, family history, and exercise pattern was analyzed. This was followed by an assessment of the risk of developing type 2 diabetes using an established risk assessment engine.
Results: There was a trend towards weight gain seen in 40% of the cohort, with 16% of the population experiencing a 2.1-5 kg weight increment. When all the risk parameters were analyzed together using the ADA risk engine, there was an increase in the ADA diabetes risk score in 7% of the population, with 6.66% in the high-risk group. There was a further increase in weight among 3% of the population who were already obese at baseline.
Conclusion: We show an increased risk of T2MD consequent to weight gain during 49 days of lockdown in India.
Keywords: Lockdown; Risk factor; Type 2 diabetes; Weight.
Copyright © 2020 Diabetes India. Published by Elsevier Ltd. All rights reserved.
Conflict of interest statement
Declaration of competing interest None to declare.
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Comment in
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Letter to the Editor in response to the article: "Increase in the risk of type 2 diabetes during lockdown for the COVID19 pandemic in India: A cohort analysis" (Ghoshal et al.).Diabetes Metab Syndr. 2020 Sep-Oct;14(5):1305. doi: 10.1016/j.dsx.2020.06.057. Epub 2020 Jul 12. Diabetes Metab Syndr. 2020. PMID: 32755826 Free PMC article. No abstract available.
References
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- Ghosal S., Sinha B., Majumder M., Misra A. Estimation of effects of nationwide lockdown for containing coronavirus infection on worsening of glycosylated haemoglobin and increase in diabetes-related complications: a simulation model using multivariate regression analysis. Diabetes & Metabolic Syndrome: Clin Res Rev. 2020;14:319–323. - PMC - PubMed
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