Department of Statistics, Mathematics and Computer Science, Govt SKN Agriculture College, SKN Agriculture University, Jobner, Jaipur, India.
Department of Medicine and Critical Care, Eternal Hospital, Eternal Heart Care Centre & Research Institute, Jaipur, India.
Diabetes Metab Syndr. 2021 Jan-Feb;15(1):343-350. doi: 10.1016/j.dsx.2021.01.005. Epub 2021 Jan 20.
BACKGROUND & AIMS: Greater COVID-19 related mortality has been reported among persons with various non-communicable diseases (NCDs). We performed an ecological study to determine the association of state-level cases and deaths with NCD risk factors and healthcare and social indices.
We obtained cumulative national and state-level data on COVID-19 cases and deaths from publicly available database www.covid19india.org from February to end November 2020. To identify association with major NCD risk factors, NCDs, healthcare related and social variables we obtained data from public sources. Association was determined using univariate and multivariate statistics.
More than 9.5 million COVID-19 cases and 135,000 deaths have been reported in India towards end of November 2020. There is significant positive correlation (Pearson r) of state-level COVID-19 cases and deaths per million, respectively, with NCD risk factors- obesity (0.64, 0.52), hypertension (0.28, 0.16), diabetes (0.66, 0.46), NCD epidemiological transition index (0.58, 0.54) and ischemic heart disease mortality (0.22, 0.33). Correlation is also observed with indices of healthcare access and quality (0.71, 0.61), urbanization (0.75, 0.73) and human (0.61, 0.56) and sociodemographic (0.70, 0.69) development. Multivariate adjusted analyses shows strong correlation of COVID-19 burden and deaths with NCD risk factors (r = 0.51, 0.43), NCDs (r = 0.32, 0.16) and healthcare (r = 0.52, 0.38).
COVID-19 disease burden and mortality in India is ecologically associated with greater state-level burden of NCDs and risk factors, especially obesity and diabetes.
有报道称,患有各种非传染性疾病(NCD)的人因 COVID-19 相关死亡的比例更高。我们进行了一项生态学研究,以确定州级病例和死亡与 NCD 风险因素、医疗保健和社会指标之间的关联。
我们从公开数据库 www.covid19india.org 获得了 2020 年 2 月至 11 月底 COVID-19 病例和死亡的全国和州级累积数据。为了确定与主要 NCD 风险因素、NCD、医疗保健相关和社会变量的关联,我们从公共来源获得了数据。使用单变量和多变量统计来确定关联。
截至 2020 年 11 月底,印度报告了超过 950 万例 COVID-19 病例和 13.5 万例死亡。州级 COVID-19 病例和每百万人死亡人数分别与 NCD 风险因素(肥胖症 0.64,0.52;高血压 0.28,0.16;糖尿病 0.66,0.46;NCD 流行病学转变指数 0.58,0.54)和缺血性心脏病死亡率 0.22,0.33)存在显著正相关(皮尔逊 r)。还观察到与医疗保健可及性和质量(0.71,0.61)、城市化(0.75,0.73)和人类(0.61,0.56)和社会人口(0.70,0.69)发展的指数相关。多变量调整分析表明,COVID-19 负担和死亡与 NCD 风险因素(r=0.51,0.43)、NCD(r=0.32,0.16)和医疗保健(r=0.52,0.38)之间存在强烈关联。
印度 COVID-19 疾病负担和死亡率与州级 NCD 负担和风险因素(尤其是肥胖症和糖尿病)存在生态学关联。