Facultad de Ciencias de la Salud, Universidad Privada del Norte, Lima, Peru.
Faculty of Pharmacy and Nutrition, Department of Food Sciences and Physiology, University of Navarra, Pamplona, Spain.
BMC Public Health. 2023 Jun 1;23(1):1054. doi: 10.1186/s12889-023-15537-7.
The COVID-19 pandemic has affected the world in multiple ways and has been a challenge for the health systems of each country. From the beginning, risk factors for the severity and mortality of the disease were considered, as the spread of the virus was related to the living conditions of each population.
In this ecological study we have evaluated the role of geography, precisely the altitude above sea level in the incidence and mortality of COVID-19 in Peru. Incidence and mortality data were taken from the open-access database of the government of Peru until March 2021. COVID-19 cases and COVID-19 mortality were treated as cases/density population and 1000 x cases/inhabitants while altitude was treated as continuous and as a categorical variable divided in 7 categories. The relationship between COVID-19 cases or deaths for COVID-19 and altitude as continuous variable was determined using Spearman correlation test. Meanwhile when altitude was considered as a categorical variable, Poisson regression or negative binomial analyses were applied.
A significant inverse correlation was found between COVID-19 cases by population density and altitude (r=-0.37 p < 0.001). By altitude categories, the lowest risk for infection was observed between 3,000 and 3,500 m (IRR 0.08; 95% CI 0.05,0.12). Moreover, we found an inverse correlation between altitude and COVID-19 mortality (r=-0.39 p < 0.001). Also, the lowest risk for mortality was observed between 3,000 and 3,500 m (IRR 0.12; 95%CI 0.08; 0.18). Similar results were found when analyses were adjusted for inhabitants and stratified by sex.
This study reports an inverse relationship between COVID-19 incidence and mortality with respect to the altitude of residence, particularly, a u-shaped protection is shown, with a highest benefit between 3000 and 3500 m. The possibility of using hypoxia as an alternative treatment requires more complex studies that should allow knowing the physiological and environmental mechanisms of the protective role.
COVID-19 大流行以多种方式影响了世界,对每个国家的卫生系统构成了挑战。从一开始,就考虑了疾病严重程度和死亡率的危险因素,因为病毒的传播与每个人群的生活条件有关。
在这项生态研究中,我们评估了地理位置,即海拔高度在秘鲁 COVID-19 发病率和死亡率中的作用。发病率和死亡率数据取自秘鲁政府的开放获取数据库,截至 2021 年 3 月。将 COVID-19 病例和 COVID-19 死亡率视为病例/人口密度和每 1000 例/居民中的病例,并将海拔高度视为连续变量和 7 个分类变量。使用 Spearman 相关检验确定 COVID-19 病例或 COVID-19 死亡率与海拔高度作为连续变量之间的关系。同时,当海拔高度被视为分类变量时,应用泊松回归或负二项式分析。
发现人群密度与海拔高度之间 COVID-19 病例呈显著负相关(r=-0.37,p<0.001)。按海拔高度分类,海拔 3000-3500 米处感染风险最低(IRR 0.08;95%CI 0.05,0.12)。此外,我们发现海拔高度与 COVID-19 死亡率之间呈负相关(r=-0.39,p<0.001)。此外,海拔 3000-3500 米处死亡率最低(IRR 0.12;95%CI 0.08;0.18)。对居民进行调整并按性别分层后,也得到了类似的结果。
本研究报告了 COVID-19 发病率和死亡率与居住海拔之间的反比关系,特别是在 3000-3500 米之间呈现出 U 型保护作用。将低氧作为一种替代治疗方法的可能性需要更复杂的研究,这应该使人们了解保护作用的生理和环境机制。