Changing patterns and prevalence of daily tobacco smoking among Australian workers: 2007–2016
Abstract Objective: To map patterns and prevalence of daily smoking among employed Australians over time. Methods: Data from four waves of the triennial National Drug Strategy Household Survey (2007, 2010, 2013 and 2016) were used to assess daily smoking. Frequency analyses and significance testing...
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| Format: | Article |
| Language: | English |
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Elsevier
2021-06-01
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| Series: | Australian and New Zealand Journal of Public Health |
| Subjects: | |
| Online Access: | https://doi.org/10.1111/1753-6405.13126 |
| _version_ | 1797765569381924864 |
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| author | Ann Roche Alice McEntee Susan Kim Janine Chapman |
| author_facet | Ann Roche Alice McEntee Susan Kim Janine Chapman |
| author_sort | Ann Roche |
| collection | DOAJ |
| description | Abstract Objective: To map patterns and prevalence of daily smoking among employed Australians over time. Methods: Data from four waves of the triennial National Drug Strategy Household Survey (2007, 2010, 2013 and 2016) were used to assess daily smoking. Frequency analyses and significance testing examined smoking prevalence by sex, age, state, remoteness, Indigeneity, socioeconomic status (SES) and psychological distress. Logistic regression models estimated adjusted effects of demographics on smoking prevalence. Results: Workers’ daily smoking prevalence reduced by 32% between 2007 and 2016. The adjusted model showed the lowest smoking reductions among men and non‐metropolitan workers. Other interaction effects showed the highest daily smoking rates for: male workers aged 14–39 years; low SES non‐metropolitan workers; and low SES workers aged 40–59 years. Conclusions: Specific workplace policies, prevention and intervention strategies are warranted for male workers, especially those aged 14–39; non‐metropolitan workers, especially low SES rural workers; and low SES workers especially 40–59‐year‐olds. Implications for public health: In spite of significant smoking reductions among workers over time, reductions were unevenly distributed. Tailored, innovative workplace prevention and intervention strategies that apply principles of proportionate universalism and address individual, workplace settings and cultural factors are warranted to reduce smoking disparities among male, rural and low SES workers. |
| first_indexed | 2024-03-12T20:12:59Z |
| format | Article |
| id | doaj.art-bab3039e5d1742bbb4d33a51bd622e56 |
| institution | Directory Open Access Journal |
| issn | 1326-0200 1753-6405 |
| language | English |
| last_indexed | 2024-03-12T20:12:59Z |
| publishDate | 2021-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Australian and New Zealand Journal of Public Health |
| spelling | doaj.art-bab3039e5d1742bbb4d33a51bd622e562023-08-02T01:35:14ZengElsevierAustralian and New Zealand Journal of Public Health1326-02001753-64052021-06-0145329029810.1111/1753-6405.13126Changing patterns and prevalence of daily tobacco smoking among Australian workers: 2007–2016Ann Roche0Alice McEntee1Susan Kim2Janine Chapman3National Centre for Education and Training on Addiction Flinders University South AustraliaNational Centre for Education and Training on Addiction Flinders University South AustraliaNational Centre for Education and Training on Addiction Flinders University South AustraliaNational Centre for Education and Training on Addiction Flinders University South AustraliaAbstract Objective: To map patterns and prevalence of daily smoking among employed Australians over time. Methods: Data from four waves of the triennial National Drug Strategy Household Survey (2007, 2010, 2013 and 2016) were used to assess daily smoking. Frequency analyses and significance testing examined smoking prevalence by sex, age, state, remoteness, Indigeneity, socioeconomic status (SES) and psychological distress. Logistic regression models estimated adjusted effects of demographics on smoking prevalence. Results: Workers’ daily smoking prevalence reduced by 32% between 2007 and 2016. The adjusted model showed the lowest smoking reductions among men and non‐metropolitan workers. Other interaction effects showed the highest daily smoking rates for: male workers aged 14–39 years; low SES non‐metropolitan workers; and low SES workers aged 40–59 years. Conclusions: Specific workplace policies, prevention and intervention strategies are warranted for male workers, especially those aged 14–39; non‐metropolitan workers, especially low SES rural workers; and low SES workers especially 40–59‐year‐olds. Implications for public health: In spite of significant smoking reductions among workers over time, reductions were unevenly distributed. Tailored, innovative workplace prevention and intervention strategies that apply principles of proportionate universalism and address individual, workplace settings and cultural factors are warranted to reduce smoking disparities among male, rural and low SES workers.https://doi.org/10.1111/1753-6405.13126daily tobacco smokingworkersdemographicstrends over time |
| spellingShingle | Ann Roche Alice McEntee Susan Kim Janine Chapman Changing patterns and prevalence of daily tobacco smoking among Australian workers: 2007–2016 Australian and New Zealand Journal of Public Health daily tobacco smoking workers demographics trends over time |
| title | Changing patterns and prevalence of daily tobacco smoking among Australian workers: 2007–2016 |
| title_full | Changing patterns and prevalence of daily tobacco smoking among Australian workers: 2007–2016 |
| title_fullStr | Changing patterns and prevalence of daily tobacco smoking among Australian workers: 2007–2016 |
| title_full_unstemmed | Changing patterns and prevalence of daily tobacco smoking among Australian workers: 2007–2016 |
| title_short | Changing patterns and prevalence of daily tobacco smoking among Australian workers: 2007–2016 |
| title_sort | changing patterns and prevalence of daily tobacco smoking among australian workers 2007 2016 |
| topic | daily tobacco smoking workers demographics trends over time |
| url | https://doi.org/10.1111/1753-6405.13126 |
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