| Literature DB >> 33525216 |
Giovanni Landoni1, Alberto Zangrillo2, Carolina Soledad Romero García3, Carolina Faustini4, Martina Di Piazza5, Francesca Conte6, Simone Gattarello7, Artem Kuzovlev8, Valery Likhvantsev9, Riccardo Puglisi10.
Abstract
Background and aim of the work The effect of tobacco smoking on COVID-19 disease is debated with common sense and experts suggesting a deleterious effect and manuscripts worldwide reporting a low prevalence of active tobacco smokers among intensive care unit patients. Methods We categorized countries worldwide into three groups with <25%; 25-45%; >45% of active male smokers with data expressed as median and interquartile range [IQR] and extracted data on SARS-CoV-2 infections and COVID-19 deaths per million inhabitants. We also applied multivariate regression techniques to adjust for several epidemiological factors. Results COVID-19 mortality was 13 (5-24) per million inhabitants in countries with male smokers >45% and 33 (4-133) in countries where male smokers were <25%. SARS-CoV-2 infection rates were 436 (217-954) and 1139 (302-4084) with data confirmed when dividing data for each continent and when controlling for confounding factors. Conclusions We found a counterintuitive low COVID-19 mortality and SARS-CoV-2 infection in countries with high prevalence of male smokers at the global level and within each continent, suggesting that active smoking habit is protective. Further research should urgently investigate which is the possible mechanism of action.Entities:
Mesh:
Year: 2020 PMID: 33525216 PMCID: PMC7927473 DOI: 10.23750/abm.v91i4.10721
Source DB: PubMed Journal: Acta Biomed ISSN: 0392-4203
list of all nations with available data on active male smokers, SARS-CoV-2 infection rate and COVID-19 deaths per million inhabitants (from World Health Organization(ref4), in decreasing order of male smokers’ rate):
| Indonesia | 76.2 |
| Jordan | 70.2 |
| Russia | 59 |
| Georgia | 57.7 |
| Cuba | 52.7 |
| Greece | 52.6 |
| Armenia | 52.3 |
| Albania | 51.2 |
| Kyrgyzstan | 50.4 |
| Egypt | 49.9 |
| South Korea | 49.8 |
| Ukraine | 49.4 |
| Latvia | 48.9 |
| Bahrain | 48.8 |
| Montenegro | 47.9 |
| China | 47.6 |
| Bosnia and Herzegovina | 47.2 |
| Vietnam | 47.1 |
| Azerbaijan | 46.5 |
| Belarus | 46.2 |
| Moldova | 45.7 |
| Lebanon | 45.4 |
| Morocco | 45.4 |
| Mauritania | 44 |
| Kazakhstan | 43.9 |
| Serbia | 43.6 |
| Malaysia | 43 |
| Philippines | 43 |
| Bulgaria | 42.4 |
| Pakistan | 41.9 |
| Thailand | 41.4 |
| Estonia | 41.2 |
| Israel | 41.2 |
| Mauritius | 40.1 |
| Chile | 40 |
| Slovakia | 39.7 |
| Turkey | 39.5 |
| Croatia | 39.4 |
| Lithuania | 38.1 |
| Andorra | 37.2 |
| Nepal | 37.1 |
| Kuwait | 37 |
| Romania | 36.9 |
| Mali | 36.8 |
| Austria | 35.5 |
| Japan | 33.7 |
| Honduras | 33.3 |
| Germany | 32.4 |
| Poland | 32.4 |
| Hungary | 32 |
| Myanmar | 31.6 |
| Portugal | 31.5 |
| Mozambique | 31.4 |
| South Africa | 31.4 |
| Spain | 31.3 |
| Zimbabwe | 31.2 |
| Bangladesh | 30.98 |
| Bolivia | 30.5 |
| Jamaica | 29.9 |
| France | 29.8 |
| Malta | 29.7 |
| Argentina | 29.5 |
| Brunei | 29.3 |
| Czech Republic | 29 |
| Sri Lanka | 28.4 |
| Italy | 28.3 |
| Paraguay | 28.3 |
| Singapore | 28 |
| Saudi Arabia | 27.9 |
| Qatar | 26.9 |
| Switzerland | 26.9 |
| Uruguay | 26.7 |
| Belgium | 26.5 |
| Zambia | 26.5 |
| Netherlands | 26.2 |
| Luxembourg | 25.8 |
| Malawi | 25.4 |
| Uzbekistan | 24.9 |
| Kenya | 24.6 |
| Senegal | 23.4 |
| Finland | 23.2 |
| Ireland | 22.4 |
| Norway | 22.4 |
| Slovenia | 22.3 |
| Haiti | 22.1 |
| Iran | 21.5 |
| Peru | 21.5 |
| Oman | 21 |
| Mexico | 20.8 |
| India | 20.4 |
| Sweden | 20.4 |
| United Kingdom | 19.9 |
| United States | 19.5 |
| Brazil | 19.3 |
| Dominican Republic | 18.8 |
| Niger | 18.6 |
| Costa Rica | 18.5 |
| Benin | 17.7 |
| Canada | 17.7 |
| Denmark | 17.6 |
| Nigeria | 17.4 |
| New Zealand | 17.2 |
| Iceland | 17 |
| Australia | 16.7 |
| Colombia | 16 |
| Ecuador | 14 |
| Barbados | 13.1 |
| Ghana | 13.1 |
| Panama | 10.6 |
| Ethiopia | 8.9 |
Figure 1.SARS-CoV-2 infections and COVID-19 deaths per million inhabitants worldwide
Figure 2.SARS-CoV-2 infections and COVID-19 deaths per million inhabitants in Europe (39 nations with available data), with different prevalence of active male smokers (<25%; 25-45%; >45%).
Figure 3.SARS-CoV-2 infections and COVID-19 deaths per million inhabitants in the Americas (20 nations with available data), with different prevalence of active male smokers (<25%; 25-45%; >45%).
Figure 4.SARS-CoV-2 infections and COVID-19 deaths per million inhabitants in Asia (32 nations with available data), with different prevalence of active male smokers (<25%; 25-45%; >45%).
Multivariate regressions on COVID-19 total cases and deaths.
| Dependent Variable: | ||||
| Prevalence of smoking males | -31.589* | 18.875 | -3.218*** | -2.709*** |
| (-1.704) | (0.855) | (-3.836) | (-3.368) | |
| Starting date of the epidemics | -53.210*** | -2.698 | -2.297*** | -1.809** |
| (-2.997) | (-0.186) | (-3.109) | (-2.493) | |
| Population | -2.569** | -0.438 | -0.033 | -0.013 |
| (-2.191) | (-0.801) | (-0.786) | (-0.319) | |
| Population density | 0.680*** | -0.371 | -0.010** | -0.020*** |
| (3.031) | (-0.767) | (-2.485) | (-3.312) | |
| Prevalence of over 65 citizens (2017 data) | -87.598 | -233.191** | 6.407*** | 5.044** |
| (-0.985) | (-2.008) | (3.016) | (2.311) | |
| Real per capita GDP (2017 data) | . | 0.129** | . | 0.001** |
| . | (2.419) | . | (2.212) | |
| Countries | 106 | 105 | 106 | 105 |
| R-squared | 0.094 | 0.436 | 0.281 | 0.299 |
Notes: OLS (Ordinary Least Squares) estimates for the total number of confirmedCOVID-19 cases (columns [1] and [2]) and deaths (columns [3] and [4]). Heteroskedasticity-robust t-values are reported below each coefficient. *** denotes significance of the coefficient at 1% confidence level, ** for 5% confidence, and * for 10% confidence.