Butt Rafia, Sherwani Rehan Ahmad Khan, Aslam Muhammad, Albassam Mohammed
College of Statistical Sciences, University of the Punjab Lahore, Pakistan.
Department of Statistics, Faculty of Science, King Abdulaziz University, Jeddah 21551, Saudi Arabia.
AIMS Public Health. 2023 Jun 19;10(3):538-552. doi: 10.3934/publichealth.2023038. eCollection 2023.
It is well-known that smoking tobacco harms the respiratory system and can lead to various health problems. Regarding COVID-19, a respiratory illness caused by the novel coronavirus SARS-CoV-2, smoking may have implications for both the risk of infection and the severity of the disease. Several studies have explored the association between smoking and COVID-19. However, findings have been somewhat inconsistent and vary from region to region for sample size. This article aims to study the prevalence of COVID-19 among those affected with their ongoing smoking history by computing pooled estimates of the published research. Fixed effect meta-analysis by following the guidelines of PRISMA has been carried out on 34 studies. The patients with confirmed RT-PCR and CT-scan were included, a total of 13,368; The studies' quality assessment was performed according to the Appraisal Checklist recommended by the Joanna Briggs Institute. The effect sizes of the published research are presented in the form of pooled estimates with their respective confidence intervals. Forest plots are used to represent the effect size graphically. Current smokers' effect sizes are 0.12 (CI = 0.11-0.12); for non-smokers, it is estimated to be 0.88 (CI = 0.88-0.89). The heterogeneity statistic describes 0% of the total variation, meaning no heterogeneity among studies exists. A higher prevalence of COVID-19 among non-smokers is observed than the smokers.
众所周知,吸烟会损害呼吸系统,并可能导致各种健康问题。对于由新型冠状病毒SARS-CoV-2引起的呼吸道疾病COVID-19,吸烟可能对感染风险和疾病严重程度都有影响。多项研究探讨了吸烟与COVID-19之间的关联。然而,研究结果在一定程度上并不一致,且因地区和样本量而异。本文旨在通过计算已发表研究的合并估计值,研究有吸烟史的人群中COVID-19的患病率。按照PRISMA指南对34项研究进行了固定效应荟萃分析。纳入了经RT-PCR和CT扫描确诊的患者,共13368例;根据乔安娜·布里格斯研究所推荐的评估清单对研究质量进行了评估。已发表研究的效应大小以合并估计值及其各自的置信区间的形式呈现。森林图用于以图形方式表示效应大小。当前吸烟者的效应大小为0.12(CI = 0.11 - 0.12);对于非吸烟者,估计为0.88(CI = 0.88 - 0.89)。异质性统计量描述了总变异的0%,这意味着研究之间不存在异质性。观察到非吸烟者中COVID-19的患病率高于吸烟者。