Kushwaha Savitesh, Khanna Poonam, Rajagopal Vineeth, Kiran Tanvi
Department of Community Medicine and School of Public Health, Post Graduate Institute of Medical Education and Research, Chandigarh, 160012, India.
Clin Epidemiol Glob Health. 2021 Jul-Sep;11:100788. doi: 10.1016/j.cegh.2021.100788. Epub 2021 May 28.
The associated risk factors, co-morbid conditions and biological differences varying with gender and age might be the cause of higher COVID-19 infection and deaths among males and older persons. The objective of this study was to predict and specify the biological attributes of variation in age and gender-based on COVID-19 status (deceased/recovered).
In this retrospective study, the data was extracted from a recognised web-based portal. A total of 112,860 patients' record was filtered out and an additional 9131 records were separately analysed to examine age and gender relationship with patient's COVID-19 status (recovered/deceased). Chi-square, -test, binary logistic regression, and longitudinal regression analysis were conducted.
The male COVID-19 cases (65.39%) were more than females (34.61%) and mean age of infected and recovered patients was 39.47 ± 17.59 years and 36.85 ± 18.51 years respectively. The odds for infection was significantly higher among females for lower age categories, which declines with age. The age-adjusted odds for recovery were significantly higher among females (O.R. = 1.779) and odds for recovery was highest in 5-17 years age category (O.R. = 88.286) independent of gender.
The chances of being COVID-19 infected was higher for females of lower age categories (<35 years) which decreases with age. The odds for recovery among females was significantly higher than males. The chances of recovery declines with increasing age and the variation could be attributed to the biological differences between age categories and gender.
相关风险因素、合并症以及随性别和年龄变化的生物学差异可能是男性和老年人中新冠病毒感染率和死亡率较高的原因。本研究的目的是基于新冠病毒感染状况（死亡/康复）预测并明确年龄和性别差异的生物学特征。
在这项回顾性研究中，数据从一个公认的基于网络的平台提取。总共筛选出112860例患者记录，并另外单独分析了9131条记录，以研究年龄和性别与患者新冠病毒感染状况（康复/死亡）之间的关系。进行了卡方检验、t检验、二元逻辑回归和纵向回归分析。
男性新冠病毒感染病例（65.39%）多于女性（34.61%），感染并康复患者的平均年龄分别为39.47±17.59岁和36.85±18.51岁。在较低年龄组中，女性感染的几率显著更高，且随年龄增长而下降。女性经年龄调整后的康复几率显著更高（比值比=1.779），且在5-17岁年龄组中康复几率最高（比值比=88.286），与性别无关。
年龄较低（<35岁）的女性感染新冠病毒的几率较高，且随年龄增长而降低。女性康复的几率显著高于男性。康复几率随年龄增长而下降，这种差异可能归因于不同年龄组和性别的生物学差异。
