Zhong Rui, Chen Lingxia, Zhang Qiong, Li Binbin, Qiu Yanfang, Wang Wei, Tan Dongyi, Zou Yanhui
Hunan Cancer Hospital/The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China.
The First People's Hospital of Yueyang, Yueyang, China.
Front Physiol. 2021 Jan 18;11:623498. doi: 10.3389/fphys.2020.623498. eCollection 2020.
The global outbreak of the coronavirus disease 2019 (COVID-19) pandemic occurred in late 2019 and early 2020. The factors that influence disease severity should be of clinical concern. Existing findings on the effects of smoking on COVID-19 are also controversial and need to be confirmed by further research. In addition, the effects of alcohol consumption and betel quid (BQ) chewing on COVID-19 are unclear. The aim of this study was to examine the demographic characteristics of COVID-19 patients and the effects of smoking, drinking, BQ chewing, and underlying diseases on the severity of COVID-19. A retrospective study was conducted on 91 patients with confirmed cases of COVID-19 hospitalized in Yueyang, Hunan Province, China from 21 January to 8 March, 2020. Patient demographic data, and information on smoking, drinking and BQ chewing, and underlying diseases were extracted from the patient electronic medical records (EMR) and telephone interviews. The chi-square test was used to conduct a univariate analysis of the factors influencing the severity of COVID-19, and ordinal logistic regression analysis was used to identify the factors related to the severity of COVID-19. The results showed that the rates of smoking, drinking and BQ chewing were 15.4, 26.4, and 7.1%, respectively, there was no significant relationship between these lifestyle factors and the severity of COVID-19 ( > 0.05). However, underlying diseases such as diabetes [odds ratio (OR) = 7.740, 95% confidence interval (CI):1.000-60.740, = 0.050], source of infection (OR = 0.180, 95% CI: 0.030-0.980, = 0.049), and employment status (retired/unemployed vs. employed: OR = 29.430, 95% CI, 1.050 - 822.330, = 0.047) were significant independent predictors of severe COVID-19 infection. These individuals should be informed of methods to increase personal protection, and doctors should prevent these individuals from developing serious diseases. It is important to pay attention to the source of infection and timely medical treatment. This study showed that the clinical classification of COVID-19 was associated with patients with diabetes, source of infection, and retired/unemployed. Therefore in the clinical practice of COVID-19 should be more concern these factors. Although no statistical significance was found in smoking, drinking alcohol, BQ chewing, and severity of COVID-19 patients, more studies have confirmed that are harmful and risk factors for underlying diseases in the population. Health authorities should formulate policies to publicize the harmful effects of smoking, drinking, and betel nut chewing and promote a healthy lifestyle.
2019年冠状病毒病(COVID-19)大流行于2019年末和2020年初在全球爆发。影响疾病严重程度的因素应引起临床关注。目前关于吸烟对COVID-19影响的研究结果也存在争议,需要进一步研究证实。此外,饮酒和嚼槟榔对COVID-19的影响尚不清楚。本研究旨在探讨COVID-19患者的人口统计学特征以及吸烟、饮酒、嚼槟榔和基础疾病对COVID-19严重程度的影响。对2020年1月21日至3月8日在中国湖南省岳阳市住院的91例确诊COVID-19患者进行了回顾性研究。从患者电子病历(EMR)和电话访谈中提取患者人口统计学数据、吸烟、饮酒和嚼槟榔以及基础疾病的信息。采用卡方检验对影响COVID-19严重程度的因素进行单因素分析,采用有序逻辑回归分析确定与COVID-19严重程度相关的因素。结果显示,吸烟、饮酒和嚼槟榔的比例分别为15.4%、26.4%和7.1%,这些生活方式因素与COVID-19的严重程度之间无显著关系(>0.05)。然而,糖尿病等基础疾病[比值比(OR)=7.740,95%置信区间(CI):1.000 - 60.740,P = 0.050]、感染源(OR = 0.180,95%CI:0.030 - 0.980,P = 0.049)和就业状况(退休/失业与在职:OR = 29.430,95%CI,1.050 - 822.330,P = 0.047)是COVID-19严重感染的显著独立预测因素。应告知这些人增强个人防护的方法,医生应预防这些人发展为严重疾病。重视感染源和及时就医很重要。本研究表明,COVID-19的临床分类与糖尿病患者、感染源以及退休/失业者有关。因此,在COVID-19的临床实践中应更多关注这些因素。虽然在吸烟、饮酒、嚼槟榔与COVID-19患者严重程度之间未发现统计学意义,但更多研究已证实它们对人群中的基础疾病是有害因素和风险因素。卫生当局应制定政策宣传吸烟、饮酒和嚼槟榔的有害影响,促进健康的生活方式。