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Epidemiology of tobacco use and nicotine dependence in truck drivers

OBJECTIVE: To investigate the epidemiology of tobacco use and nicotine dependence in a sample of truck drivers in Brazil. METHODS: Between 2015 and 2016, a cross-sectional study was conducted on 624 truck drivers who operate on the BR-050 highway in Brazil. Participants were interviewed about sociod...

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Autores principales: Fernandes, Inaina Lara, Guimarães, Rafael Alves, Lucchese, Roselma, Vera, Ivânia, de Brito, Rodolfo Pereira, Ramos, Camila Borges, Marinho, Tamíris Augusto, Nunes, Patrícia Silva, Diniz-Pinto, Henrique Senna, Amorim, Thiago Aquino
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Faculdade de Saúde Pública da Universidade de São Paulo 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9749732/
https://www.ncbi.nlm.nih.gov/pubmed/36629700
http://dx.doi.org/10.11606/s1518-8787.2022056003698
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author Fernandes, Inaina Lara
Guimarães, Rafael Alves
Lucchese, Roselma
Vera, Ivânia
de Brito, Rodolfo Pereira
Ramos, Camila Borges
Marinho, Tamíris Augusto
Nunes, Patrícia Silva
Diniz-Pinto, Henrique Senna
Amorim, Thiago Aquino
author_facet Fernandes, Inaina Lara
Guimarães, Rafael Alves
Lucchese, Roselma
Vera, Ivânia
de Brito, Rodolfo Pereira
Ramos, Camila Borges
Marinho, Tamíris Augusto
Nunes, Patrícia Silva
Diniz-Pinto, Henrique Senna
Amorim, Thiago Aquino
author_sort Fernandes, Inaina Lara
collection PubMed
description OBJECTIVE: To investigate the epidemiology of tobacco use and nicotine dependence in a sample of truck drivers in Brazil. METHODS: Between 2015 and 2016, a cross-sectional study was conducted on 624 truck drivers who operate on the BR-050 highway in Brazil. Participants were interviewed about sociodemographic data, occupational characteristics, mental health, behavioral data, and tobacco use. Then, the Fagerstrom test for nicotine dependence (FTND) was used to verify nicotine dependence in smoking truck drivers. Logistic regression and linear regression were also used to verify factors associated with tobacco use in the previous 30 days and nicotine dependence scores, respectively. RESULTS: The prevalence of tobacco use among truck drivers was 21.1% (n = 132;95%CI: 18.1–24.5). Of the total number of smokers who responded to the FTND (n = 118; 89.4%), most had high/very high nicotinic dependence (68.6%; 95%CI: 59.8–76.3). Tobacco use was associated with absence of religion (adjusted odds ratio [AOR]: 2.60; 95%CI: 1.35–5.01), employment relationship of the contract (AOR = 1.98; 95%CI: 1.26–3.13); > 12 hours daily working time (AOR = 1.80; 95%CI: 1.09–2.98) and alcohol use in the previous 30 days (AOR = 2.92; 95%CI: 1.86–4.57). Irregular physical activity was associated with higher scores of nicotine dependence (β = 1.87; 95%CI: 0.55–3.19). CONCLUSION: The results showed a high prevalence of tobacco use and high/very high nicotine dependence among the truck drivers.
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spelling pubmed-97497322022-12-16 Epidemiology of tobacco use and nicotine dependence in truck drivers Fernandes, Inaina Lara Guimarães, Rafael Alves Lucchese, Roselma Vera, Ivânia de Brito, Rodolfo Pereira Ramos, Camila Borges Marinho, Tamíris Augusto Nunes, Patrícia Silva Diniz-Pinto, Henrique Senna Amorim, Thiago Aquino Rev Saude Publica Original Article OBJECTIVE: To investigate the epidemiology of tobacco use and nicotine dependence in a sample of truck drivers in Brazil. METHODS: Between 2015 and 2016, a cross-sectional study was conducted on 624 truck drivers who operate on the BR-050 highway in Brazil. Participants were interviewed about sociodemographic data, occupational characteristics, mental health, behavioral data, and tobacco use. Then, the Fagerstrom test for nicotine dependence (FTND) was used to verify nicotine dependence in smoking truck drivers. Logistic regression and linear regression were also used to verify factors associated with tobacco use in the previous 30 days and nicotine dependence scores, respectively. RESULTS: The prevalence of tobacco use among truck drivers was 21.1% (n = 132;95%CI: 18.1–24.5). Of the total number of smokers who responded to the FTND (n = 118; 89.4%), most had high/very high nicotinic dependence (68.6%; 95%CI: 59.8–76.3). Tobacco use was associated with absence of religion (adjusted odds ratio [AOR]: 2.60; 95%CI: 1.35–5.01), employment relationship of the contract (AOR = 1.98; 95%CI: 1.26–3.13); > 12 hours daily working time (AOR = 1.80; 95%CI: 1.09–2.98) and alcohol use in the previous 30 days (AOR = 2.92; 95%CI: 1.86–4.57). Irregular physical activity was associated with higher scores of nicotine dependence (β = 1.87; 95%CI: 0.55–3.19). CONCLUSION: The results showed a high prevalence of tobacco use and high/very high nicotine dependence among the truck drivers. Faculdade de Saúde Pública da Universidade de São Paulo 2022-11-18 /pmc/articles/PMC9749732/ /pubmed/36629700 http://dx.doi.org/10.11606/s1518-8787.2022056003698 Text en https://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Fernandes, Inaina Lara
Guimarães, Rafael Alves
Lucchese, Roselma
Vera, Ivânia
de Brito, Rodolfo Pereira
Ramos, Camila Borges
Marinho, Tamíris Augusto
Nunes, Patrícia Silva
Diniz-Pinto, Henrique Senna
Amorim, Thiago Aquino
Epidemiology of tobacco use and nicotine dependence in truck drivers
title Epidemiology of tobacco use and nicotine dependence in truck drivers
title_full Epidemiology of tobacco use and nicotine dependence in truck drivers
title_fullStr Epidemiology of tobacco use and nicotine dependence in truck drivers
title_full_unstemmed Epidemiology of tobacco use and nicotine dependence in truck drivers
title_short Epidemiology of tobacco use and nicotine dependence in truck drivers
title_sort epidemiology of tobacco use and nicotine dependence in truck drivers
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9749732/
https://www.ncbi.nlm.nih.gov/pubmed/36629700
http://dx.doi.org/10.11606/s1518-8787.2022056003698
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