吸烟与新冠肺炎患病率:2020年1月至2020年5月的研究证据。

IF 3.1 Q2 HEALTH CARE SCIENCES & SERVICES
AIMS Public Health Pub Date : 2023-06-19 eCollection Date: 2023-01-01 DOI:10.3934/publichealth.2023038
Rafia Butt, Rehan Ahmad Khan Sherwani, Muhammad Aslam, Mohammed Albassam
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引用次数: 0

摘要

众所周知,吸烟会危害呼吸系统,并会导致各种健康问题。关于新冠肺炎,一种由新型冠状病毒SARS-CoV-2引起的呼吸道疾病,吸烟可能会影响感染风险和疾病的严重程度。几项研究探讨了吸烟与新冠肺炎之间的关系。然而,研究结果有些不一致,而且样本量因地区而异。本文旨在通过计算已发表研究的汇总估计,研究新冠肺炎在有吸烟史的人群中的患病率。遵循PRISMA指南对34项研究进行了固定效应荟萃分析。纳入经RT-PCR和CT扫描确诊的患者,共13368例;研究的质量评估是根据乔安娜·布里格斯研究所推荐的评估清单进行的。已发表研究的影响大小以合并估计的形式及其各自的置信区间表示。森林图用于以图形方式表示效果大小。目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I2描述了总变异的0%,这意味着研究之间不存在异质性。观察到新冠肺炎在非吸烟者中的患病率高于吸烟者。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Smoking and prevalence of COVID-19: Evidence from studies from January 2020 - May 2020.

Smoking and prevalence of COVID-19: Evidence from studies from January 2020 - May 2020.

Smoking and prevalence of COVID-19: Evidence from studies from January 2020 - May 2020.

Smoking and prevalence of COVID-19: Evidence from studies from January 2020 - May 2020.

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 I2 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.

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来源期刊
AIMS Public Health
AIMS Public Health HEALTH CARE SCIENCES & SERVICES-
CiteScore
4.80
自引率
0.00%
发文量
31
审稿时长
4 weeks
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