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印度新冠疫情封锁期间2型糖尿病风险增加:一项队列分析。

Increase in the risk of type 2 diabetes during lockdown for the COVID19 pandemic in India: A cohort analysis.

作者信息

Ghosal Samit, Arora Bhavya, Dutta Koel, Ghosh Amerta, Sinha Binayak, Misra Anoop

机构信息

Nightingale Hospital, Kolkata, India.

Fortis CDOC Hospital for Diabetes and Allied Specialties, Chirag Enclave, New Delhi, India.

出版信息

Diabetes Metab Syndr. 2020 Sep-Oct;14(5):949-952. doi: 10.1016/j.dsx.2020.06.020. Epub 2020 Jun 19.

Abstract

UNLABELLED

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.

摘要

未标注

2019年冠状病毒病(COVID-19)大流行导致的封锁可能会导致体重增加,并增加2型糖尿病(T2DM)的风险。我们旨在确定明显非糖尿病个体中的这种风险。

材料与方法

收集了100名2型糖尿病患者的明显非糖尿病家庭成员(亲属或非亲属)的基线人口统计学和临床数据,直至封锁49天,并使用XL-STAT统计软件进行分析。采用了双管齐下的分析策略。首先,分析了与年龄、性别、体重、家族史和运动模式相关的代谢风险概况。随后,使用既定的风险评估引擎评估患2型糖尿病的风险。

结果

40%的队列中有体重增加的趋势,16%的人群体重增加了2.1-5千克。当使用ADA风险引擎一起分析所有风险参数时,7%的人群ADA糖尿病风险评分增加,高危组为6.66%。基线时已肥胖的3%人群体重进一步增加。

结论

我们表明,在印度封锁的49天内,体重增加会导致T2MD风险增加。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d547/7303633/a686c945c5a3/gr1_lrg.jpg

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