Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK.
Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, UK.
Diabetes Obes Metab. 2021 Dec;23(12):2697-2706. doi: 10.1111/dom.14523. Epub 2021 Aug 25.
To assess the association of country-level obesity prevalence with COVID-19 case and mortality rates, to evaluate the impact of obesity prevalence on worldwide variation.
Data on COVID-19 prevalence and mortality, country-specific governmental actions, socioeconomic, demographic, and healthcare capacity factors were extracted from publicly available sources. Multivariable negative binomial regression was used to assess the independent association of obesity with COVID-19 case and mortality rates.
Across 168 countries for which data were available, higher obesity prevalence was associated with increased COVID-19 mortality and prevalence rates. For every 1% increase in obesity prevalence, the mortality rate was increased by 8.3% (incidence rate ratio [IRR] 1.083, 95% confidence interval [CI] 1.048-1.119; P < 0.001) and the case rate was higher by 6.6% (IRR 1.066, 95% CI 1.035-1.099; P < 0.001). Additionally, higher median population age, greater female ratio, higher Human Development Index (HDI), lower population density, and lower hospital bed availability were all significantly associated with higher COVID-19 mortality rate. In addition, stricter governmental actions, higher HDI and lower mean annual temperature were significantly associated with higher COVID-19 case rate.
These findings demonstrate that obesity prevalence is a significant and potentially modifiable risk factor of increased COVID-19 national caseload and mortality. Future research to study whether weight loss improves COVID-19 outcomes is urgently required.
评估国家层面肥胖流行率与 COVID-19 病例和死亡率的相关性,评估肥胖流行率对全球变异的影响。
从公开来源提取 COVID-19 流行率和死亡率、国家特定政府行动、社会经济、人口统计学和医疗保健能力因素的数据。采用多变量负二项回归评估肥胖与 COVID-19 病例和死亡率的独立相关性。
在提供数据的 168 个国家中,较高的肥胖流行率与 COVID-19 死亡率和流行率的增加相关。肥胖流行率每增加 1%,死亡率增加 8.3%(发病率比 [IRR] 1.083,95%置信区间 [CI] 1.048-1.119;P < 0.001),病例率增加 6.6%(IRR 1.066,95% CI 1.035-1.099;P < 0.001)。此外,较高的人口平均年龄、较高的女性比例、较高的人类发展指数(HDI)、较低的人口密度和较低的医院床位供应都与较高的 COVID-19 死亡率显著相关。此外,更严格的政府行动、较高的 HDI 和较低的年平均温度与较高的 COVID-19 病例率显著相关。
这些发现表明肥胖流行率是 COVID-19 全国病例数和死亡率增加的一个重要且潜在可改变的危险因素。迫切需要进行未来的研究,以探讨减肥是否改善 COVID-19 结局。