The Repercussion of SARS-CoV-2 on the Blood Glucose Level of Diabetes Patients’ Prior and During the Lockdown in Bangladesh

Author:

Abrar Shams MohammadORCID

Abstract

AbstractPurposeDiabetes Mellitus (DM) patients were exposed to subacute risk as a result of the unanticipated lockdown. Furthermore, most DM patients were unable to engage in physical activity during that period. This impediment to proper healthcare management had increased Blood Glucose Levels (BGL). Therefore, initiatives must be adopted to prevent the same result in the second lockdown in 2021 for the well-being of patients.MethodThis statistical analysis aimed to assess the rise in BGL of diabetic patients before and during the lockdown. A survey was conducted among the DM patients in the Bangladeshi cohort, who came from various socioeconomic backgrounds and included both men and women. The statistical modeling, performed with the help of stat-ease software, was conducted by applying the Analysis of Variance (ANOVA) method to Response Surface Methodology (RSM).ResultOut of the 3 models applied (quadratic, main effect and sequential sum of squares for 2 factor interaction (2FI)) in 2 different response vectors the 2FI model was the best suited (p value - 0.0441 and 0.0015). The results yielded by the 2FI model were used to evaluate RSM.ConclusionThe analysis had shown a significant rise in the BGL among the DM patients during the lockdown, and the patients with the higher BMI tend to have a more significant increment in the BGL. Male patients experienced a greater rise in BGL. Furthermore, elderly patients with high Random Blood Glucose (RBG) levels before lockdown were more likely to have high RBG levels during the lockdown.

Publisher

Cold Spring Harbor Laboratory

Reference30 articles.

1. Marisol Sepulveda, J. S., Irene Dankwa-Mullan and Marc Rivoand Kyu Rhee. (2020) Transforming Diabetes Care Through Artificial Intelligence: The Future Is Here, Retrieved from https://www2.deloitte.com/global/en/insights/

2. Alberti KG, Z. P. , Alberti KG. , and Zimmet PZ . Definition, diagnosis and classification of diabetes mellitus and its complications. Part 1: diagnosis and classification of diabetes mellitus provisional report of a WHO consultation. Diabet Med,1998:539–553.(2018)

3. Rebecca B. Lipton . (2020) Incidence of Diabetes in Children and Youth—Tracking a Moving Target. 2007297. Retrieved.

4. Global and regional diabetes prevalence estimates for 2019 and projections for 2030 and 2045: Results from the International Diabetes Federation Diabetes Atlas, 9th edition

5. High prevalence of type 2 diabetes among the urban middle class in Bangladesh

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3