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What differs former, light and heavy smokers? Evidence from a post-conflict setting
BACKGROUND: Evidence suggests that people who live in regions affected by the armed conflict are more likely to smoke. OBJECTIVE: The purpose of this study was to assess factors associated with smoking status in a sample of students in the northern Kosovo province. MATERIALS AND METHODS: A total of...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Makerere Medical School
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8356624/ https://www.ncbi.nlm.nih.gov/pubmed/34394288 http://dx.doi.org/10.4314/ahs.v21i1.16 |
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author | Gazibara, Tatjana Milic, Marija Parlic, Milan Stevanovic, Jasmina Mitic, Nebojsa Maric, Gorica Tepavcevic, Darija Kisic Pekmezovic, Tatjana |
author_facet | Gazibara, Tatjana Milic, Marija Parlic, Milan Stevanovic, Jasmina Mitic, Nebojsa Maric, Gorica Tepavcevic, Darija Kisic Pekmezovic, Tatjana |
author_sort | Gazibara, Tatjana |
collection | PubMed |
description | BACKGROUND: Evidence suggests that people who live in regions affected by the armed conflict are more likely to smoke. OBJECTIVE: The purpose of this study was to assess factors associated with smoking status in a sample of students in the northern Kosovo province. MATERIALS AND METHODS: A total of 514 students enrolled in University in Kosovska Mitrovica, Kosovo, were recruited between April to June 2015 at Student Public Health Center during mandatory health checks. Participants filled in socio-demographic and behavioral questionnaire and Beck Depression Inventory (BDI). Based on responses about smoking, students were categorized in non-smokers, former smokers, light smokers (1–13 cigarettes/day) and heavy smokers (> 13 cigarettes/day). RESULTS: Of 514 students, 116 (22.6%) classified themselves as smokers. Higher education level of fathers (Odds ratio [OR]=2.89, 95% confidence interval [CI] 1.30–6.44, p=0.009), not living with smokers (OR=0.42, 95%CI 0.15–0.97, p=0.017) and longer exposure to second hand smoke (OR=1.07, 95%CI 1.01–1.13, p=0.036) was associated with former smoking. Studying medical and natural sciences (OR=2.07, 95%CI 1.05–4.18, p=0.040), consuming alcohol (OR=2.98, 95%CI 1.19–10.03, p=0.020), living with smokers (OR=2.88, 95%CI 1.49–5.56, p=0.002), longer exposure to second hand smoke (OR=1.06, 95%CI 1.01–1.11, p=0.019) and having a more intense depressive symptoms (OR=1.08, 95%CI 1.03–1.13, p=0.002) was associated with light smoking. Being male (OR=0.22, 95%CI 0.07–0.41, p=0.001), older (OR=1.47, 95%CI 1.21–1.78, p=0.001), living with smokers (OR=3.78, 95%CI 1.69–8.07, p=0.001), longer daily exposure to second-hand smoke (OR=1.10, 95%CI 1.04–1.16, p=0.001), and having more severe depressive symptoms (OR=1.12, 95%CI 1.07–1.18, p=0.001) were associated with heavy smoking. CONCLUSION: Smoking prevention and cessation programs should include the entire community, because exposure to environmental second hand smoke may facilitate initiation and more intense smoking. Screening of student smokers for depression should be prioritized in the process of rebuilding the framework for primary and secondary prevention in the post-conflict period. |
format | Online Article Text |
id | pubmed-8356624 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Makerere Medical School |
record_format | MEDLINE/PubMed |
spelling | pubmed-83566242021-08-12 What differs former, light and heavy smokers? Evidence from a post-conflict setting Gazibara, Tatjana Milic, Marija Parlic, Milan Stevanovic, Jasmina Mitic, Nebojsa Maric, Gorica Tepavcevic, Darija Kisic Pekmezovic, Tatjana Afr Health Sci Articles BACKGROUND: Evidence suggests that people who live in regions affected by the armed conflict are more likely to smoke. OBJECTIVE: The purpose of this study was to assess factors associated with smoking status in a sample of students in the northern Kosovo province. MATERIALS AND METHODS: A total of 514 students enrolled in University in Kosovska Mitrovica, Kosovo, were recruited between April to June 2015 at Student Public Health Center during mandatory health checks. Participants filled in socio-demographic and behavioral questionnaire and Beck Depression Inventory (BDI). Based on responses about smoking, students were categorized in non-smokers, former smokers, light smokers (1–13 cigarettes/day) and heavy smokers (> 13 cigarettes/day). RESULTS: Of 514 students, 116 (22.6%) classified themselves as smokers. Higher education level of fathers (Odds ratio [OR]=2.89, 95% confidence interval [CI] 1.30–6.44, p=0.009), not living with smokers (OR=0.42, 95%CI 0.15–0.97, p=0.017) and longer exposure to second hand smoke (OR=1.07, 95%CI 1.01–1.13, p=0.036) was associated with former smoking. Studying medical and natural sciences (OR=2.07, 95%CI 1.05–4.18, p=0.040), consuming alcohol (OR=2.98, 95%CI 1.19–10.03, p=0.020), living with smokers (OR=2.88, 95%CI 1.49–5.56, p=0.002), longer exposure to second hand smoke (OR=1.06, 95%CI 1.01–1.11, p=0.019) and having a more intense depressive symptoms (OR=1.08, 95%CI 1.03–1.13, p=0.002) was associated with light smoking. Being male (OR=0.22, 95%CI 0.07–0.41, p=0.001), older (OR=1.47, 95%CI 1.21–1.78, p=0.001), living with smokers (OR=3.78, 95%CI 1.69–8.07, p=0.001), longer daily exposure to second-hand smoke (OR=1.10, 95%CI 1.04–1.16, p=0.001), and having more severe depressive symptoms (OR=1.12, 95%CI 1.07–1.18, p=0.001) were associated with heavy smoking. CONCLUSION: Smoking prevention and cessation programs should include the entire community, because exposure to environmental second hand smoke may facilitate initiation and more intense smoking. Screening of student smokers for depression should be prioritized in the process of rebuilding the framework for primary and secondary prevention in the post-conflict period. Makerere Medical School 2021-03 /pmc/articles/PMC8356624/ /pubmed/34394288 http://dx.doi.org/10.4314/ahs.v21i1.16 Text en © 2021 Gazibara T et al. https://creativecommons.org/licenses/by/4.0/Licensee African Health Sciences. This is an Open Access article distributed under the terms of the Creative commons Attribution License (https://creativecommons.org/licenses/BY/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Articles Gazibara, Tatjana Milic, Marija Parlic, Milan Stevanovic, Jasmina Mitic, Nebojsa Maric, Gorica Tepavcevic, Darija Kisic Pekmezovic, Tatjana What differs former, light and heavy smokers? Evidence from a post-conflict setting |
title | What differs former, light and heavy smokers? Evidence from a post-conflict setting |
title_full | What differs former, light and heavy smokers? Evidence from a post-conflict setting |
title_fullStr | What differs former, light and heavy smokers? Evidence from a post-conflict setting |
title_full_unstemmed | What differs former, light and heavy smokers? Evidence from a post-conflict setting |
title_short | What differs former, light and heavy smokers? Evidence from a post-conflict setting |
title_sort | what differs former, light and heavy smokers? evidence from a post-conflict setting |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8356624/ https://www.ncbi.nlm.nih.gov/pubmed/34394288 http://dx.doi.org/10.4314/ahs.v21i1.16 |
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