Relation of smoking behaviour with severity of COVID-19 infections in a sample of Iraqi patients

Authors

DOI:

https://doi.org/10.3329/bsmmuj.v18i1.77865

Keywords

COVID-19, smoking, cigarette , hookah

Correspondence

Khalida Ibrahim Noel
Email: dr.khalidanoel@uomustansiriyah.edu.iq

Publication history

Received: 20 Nov 2024
Accepted: 10 Jan 2025
Published inline: 5 Feb 2025

Responsible editor

Reviewer

Funding

None

Ethical approval

From the MREB of Mustansiriyah University, (decision no: 782, date: 17 Dec 2020).

Trial registration number

Not applicable 

Copyright

© The Author(s) 2025; all rights reserved
Published by Bangabandhu Sheikh
Mujib Medical University

Key messages
This cross-sectional study done in 658 adult Iraqi patients (aged 20 to 39) did not find an association between smoking habit, its types and frequencies with the severity of COVID-19 symptoms.
The World Health Organization (WHO) reported that smokers have a higher risk of developing severe disease with COVID-19 compared to non-smokers[1]. However, a few reports refuted this relationship [2] despite established knowledge that smoking raises the risk of bacterial and viral illness infections, especially respiratory infections [3]. We have examined the differences in COVID-19 symptom severity between smokers and non-smokers, its frequency and type with COVID-19 symptom severity in a sample of Iraqi COVID-19 recovered individuals.

We have recruited 658 (411 women and 247 men) COVID-19 Iraqi patients (aged 20-39) who recovered from a recent attack (before two weeks) of COVID-19 at Al-Yarmok Teaching Hospital and Al-Shifa Medical Centre between January and August 2021. Their participation was voluntary, and informed consent was obtained. The data collection questionnaire included age, sex, severity of symptoms (severe: symptoms that required hospitalisation and oxygenation therapy; moderate: those bedridden; and mild: flue-like symptoms), and smoking, its frequency (daily, non-daily) and types (cigarette, hookah, both). We excluded those with asthma, chronic respiratory, and other chronic systemic diseases.

The key results of the chi-square analysis are presented in Table 1. The smoking proportions, frequencies, and types are similar across the COVID-19 severity categories (P>0.1 for all). Nicotine has been demonstrated to impede the growth of SARS-CoV-2, possibly by reducing the lungs' cytokine storm and lessening the severity of COVID-19 infection [4]. However, smoking is arguably the biggest risk factor that can be avoided [5]. Giving up smoking can reduce SARS-CoV-2 infection risk in addition to illnesses associated with tobacco use [6]. Nicotine increases the amount of viral entry, and SARS infection downregulates the expression of angiotensin-converting enzyme-2 as a regulatory mechanism after infection [7]. Well-designed clinical trials are necessary to examine the effect of nicotine on this.

According to the German news website N-TV, a medical team at Pitié Salpêtrière Hospital in the French capital, Paris, conducted a study that suggested nicotine may have protective properties against the COVID-19 virus, meaning that smokers may be less likely to get the virus than non-smokers [2].  This finding has surprised the scientific community because the harms of smoking are beyond debate nowadays [8]. There are reports of higher mortality among smokers compared to non-smokers. Well-designed studies do not refute the smoking habits' putative effect on COVID-19.1 Our results agree with a few previous studies that smoking’s association with COVID-19 severity is not cognisable. While tobacco smoking may provide some protection against respiratory infections, it is a potentially dangerous chemical that may negatively affect the respiratory epithelium and health in general. In conclusion, we did not find any protective or putative relationship between smoking and COVID-19 severity in this Iraqi sample of post-COVID-19 patients.

Categories

Number (%)

Sex

 

   Male

36 (60.0)

   Female

24 (40.0)

Age in yearsa

8.8 (4.2)

   Education

 

   Pre-school

20 (33.3)

   Elementary school

24 (40.0)

   Junior high school

16 (26.7)

Cancer diagnoses

 

   Acute lymphoblastic leukemia

33 (55)

   Retinoblastoma

5 (8.3)

   Acute myeloid leukemia

4 (6.7)

   Non-Hodgkins lymphoma

4 (6.7)

   Osteosarcoma

3 (5)

   Hepatoblastoma

2 (3.3)

   Lymphoma

2 (3.3)

   Neuroblastoma

2 (3.3)

   Medulloblastoma

1 (1.7)

   Neurofibroma

1 (1.7)

   Ovarian tumour

1 (1.7)

   Pancreatic cancer

1 (1.7)

   Rhabdomyosarcoma

1 (1.7)

aMean (standard deviation)

Categories

Number (%)

Sex

 

   Male

36 (60.0)

   Female

24 (40.0)

Age in yearsa

8.8 (4.2)

Education

 

   Pre-school

20 (33.3)

   Elementary school

24 (40.0)

   Junior high school

16 (26.7)

Cancer diagnoses

 

Acute lymphoblastic leukemia

33 (55)

Retinoblastoma

5 (8.3)

Acute myeloid leukemia

4 (6.7)

Non-Hodgkins lymphoma

4 (6.7)

Osteosarcoma

3 (5)

Hepatoblastoma

2 (3.3)

Lymphoma

2 (3.3)

Neuroblastoma

2 (3.3)

Medulloblastoma

1 (1.7)

Neurofibroma

1 (1.7)

Ovarian tumour

1 (1.7)

Pancreatic cancer

1 (1.7)

Rhabdomyosarcoma

1 (1.7)

aMean (standard deviation)

Table 1 Smoking behaviour of patients with severity of COVID 19 patients, results are number (percent)a

Characteristic

Mild

(n=187)

Moderate

(n=358)

Severe

(n=113)

Age   

20s

65 (34.8)             

105 (29.3)               

44 (38.9)

30s

122 (65.2)           

53 (70.7)               

269 (61.1)

Sex

Men

85 (45.5)              

199 (55.6)                 

63 (55.8)

Women

102 (54.5)            

159 (44.4)               

50 (44.2)

Smoking   

No

139 (74.3)

282 (78.8)

94 (83.2)

Yes

48 (25.7)

76 (21.2)

19 (16.8)

Frequency of smoking   

Daily

40 (21.4)

56 (15.6)

12 (10.6)

Non-daily

8 (4.3)

20 (5.6)

7 (6.2)

Method of smoking     

Cigarette

18 (9.6)

35 (9.8)

10 (8.8)

Hookah

20 (10.7)

23 (6.4)

3 (2.7)

Both

10 (5.3)

18 (5.0)

6 (5.3)

aNone of  these variables were significantly different between pain categories

Acknowledgements
We acknowledge the COVID-19 Centers in Al-Karkh and Al-Rusafa for their assistance in this work.
Author contributions
Conception or design of the work; or the acquisition, analysis, or interpretation of data for the work: KIN, NHK, MES, RHG. Drafting the work or reviewing it critically for important intellectual content: KIN, NHK, MES, RHG. Final approval of the version to be published: KIN, NHK, MES, RHG. Accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved: KIN.
Conflict of interest
We do not have any conflict of interest.
Data availability statement
We confirm that the data supporting the findings of the study will be shared upon reasonable request. 
Supplementary file
None
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