Climatic and community sociodemographic factors associated with remote Indigenous Australian smoking rates: an ecological study of health audit data Article Swipe
Suzanne J. Carroll
,
Michael J. Dale
,
Ross Bailie
,
Mark Daniel
·
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.1136/bmjopen-2019-032173
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.1136/bmjopen-2019-032173
Australian Indigenous smoking rates are highest in remote communities but likely vary between communities; few studies have assessed community features in relation to Indigenous smoking rates. Design and objective This ecological study evaluated the associations between smoking rates, and community sociodemographic and climatic characteristics for a large sample of remote Indigenous communities. Setting and sample Records (n=2689) from an audit of community health centres in the Northern Territory and Queensland were used to estimate smoking rates dichotomised at the median for 70 predominantly Indigenous remote communities. Community characteristics were similarly dichotomised. Methods Cross-tabulations were used to calculate the odds of a community classified as high for a sociodemographic or climatic factor also being high for smoking rate. Additional cross-tabulations, stratified by sociodemographic, region (coastal or central) and geographic connectivity levels, were performed to assess potential confounding. Results Community smoking rates ranged from 25% to 96% (median 60.2%). Moderately strong relationships were observed between community smoking rate and population size (OR 6.25,(95% CI 2.18 to 17.95)), education level (OR 3.67 (1.35–10.01)), income (2.86 (11.07–7.67)) and heat (2.86 (1.07–7.67)). Conclusions Smoking rates in Australian remote Indigenous communities are universally high. Smoking rates are associated with greater community-level socioeconomic status and size, most likely reflecting greater means of accessing tobacco with mass of smokers sufficient to sustain a normative influence. Severe heat was also associated with high smoking rates suggesting such a stressor might support smoking as a coping mechanism. Community sociodemographic and climatic factors bear consideration as context-level correlates of community smoking rates.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1136/bmjopen-2019-032173
- https://bmjopen.bmj.com/content/bmjopen/9/7/e032173.full.pdf
- OA Status
- gold
- Cited By
- 7
- References
- 34
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2961272436
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2961272436Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1136/bmjopen-2019-032173Digital Object Identifier
- Title
-
Climatic and community sociodemographic factors associated with remote Indigenous Australian smoking rates: an ecological study of health audit dataWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2019Year of publication
- Publication date
-
2019-07-01Full publication date if available
- Authors
-
Suzanne J. Carroll, Michael J. Dale, Ross Bailie, Mark DanielList of authors in order
- Landing page
-
https://doi.org/10.1136/bmjopen-2019-032173Publisher landing page
- PDF URL
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https://bmjopen.bmj.com/content/bmjopen/9/7/e032173.full.pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
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https://bmjopen.bmj.com/content/bmjopen/9/7/e032173.full.pdfDirect OA link when available
- Concepts
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Medicine, Indigenous, Socioeconomic status, Demography, Environmental health, Community health, Confounding, Odds, Population, Epidemiology, Public health, Logistic regression, Ecology, Pathology, Internal medicine, Sociology, Nursing, BiologyTop concepts (fields/topics) attached by OpenAlex
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7Total citation count in OpenAlex
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2025: 1, 2024: 1, 2023: 1, 2022: 1, 2021: 2Per-year citation counts (last 5 years)
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34Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.rates. | 25, 250 |
| abstract_inverted_index.region | 122 |
| abstract_inverted_index.remote | 7, 49, 84, 182 |
| abstract_inverted_index.sample | 47, 54 |
| abstract_inverted_index.status | 196 |
| abstract_inverted_index.strong | 148 |
| abstract_inverted_index.(median | 145 |
| abstract_inverted_index.60.2%). | 146 |
| abstract_inverted_index.Methods | 91 |
| abstract_inverted_index.Records | 55 |
| abstract_inverted_index.Results | 136 |
| abstract_inverted_index.Setting | 52 |
| abstract_inverted_index.Smoking | 178, 188 |
| abstract_inverted_index.between | 12, 35, 152 |
| abstract_inverted_index.centres | 63 |
| abstract_inverted_index.factors | 241 |
| abstract_inverted_index.greater | 193, 202 |
| abstract_inverted_index.highest | 5 |
| abstract_inverted_index.levels, | 129 |
| abstract_inverted_index.smokers | 210 |
| abstract_inverted_index.smoking | 2, 24, 36, 74, 115, 138, 154, 224, 232, 249 |
| abstract_inverted_index.studies | 15 |
| abstract_inverted_index.support | 231 |
| abstract_inverted_index.sustain | 213 |
| abstract_inverted_index.tobacco | 206 |
| abstract_inverted_index.(coastal | 123 |
| abstract_inverted_index.(n=2689) | 56 |
| abstract_inverted_index.17.95)), | 164 |
| abstract_inverted_index.Northern | 66 |
| abstract_inverted_index.assessed | 17 |
| abstract_inverted_index.central) | 125 |
| abstract_inverted_index.climatic | 42, 109, 240 |
| abstract_inverted_index.estimate | 73 |
| abstract_inverted_index.features | 19 |
| abstract_inverted_index.observed | 151 |
| abstract_inverted_index.relation | 21 |
| abstract_inverted_index.stressor | 229 |
| abstract_inverted_index.6.25,(95% | 160 |
| abstract_inverted_index.Community | 86, 137, 237 |
| abstract_inverted_index.Territory | 67 |
| abstract_inverted_index.accessing | 205 |
| abstract_inverted_index.calculate | 96 |
| abstract_inverted_index.community | 18, 39, 61, 101, 153, 248 |
| abstract_inverted_index.education | 165 |
| abstract_inverted_index.evaluated | 32 |
| abstract_inverted_index.normative | 215 |
| abstract_inverted_index.objective | 28 |
| abstract_inverted_index.performed | 131 |
| abstract_inverted_index.potential | 134 |
| abstract_inverted_index.similarly | 89 |
| abstract_inverted_index.Additional | 117 |
| abstract_inverted_index.Australian | 0, 181 |
| abstract_inverted_index.Indigenous | 1, 23, 50, 83, 183 |
| abstract_inverted_index.Moderately | 147 |
| abstract_inverted_index.Queensland | 69 |
| abstract_inverted_index.associated | 191, 221 |
| abstract_inverted_index.classified | 102 |
| abstract_inverted_index.correlates | 246 |
| abstract_inverted_index.ecological | 30 |
| abstract_inverted_index.geographic | 127 |
| abstract_inverted_index.influence. | 216 |
| abstract_inverted_index.mechanism. | 236 |
| abstract_inverted_index.population | 157 |
| abstract_inverted_index.reflecting | 201 |
| abstract_inverted_index.stratified | 119 |
| abstract_inverted_index.sufficient | 211 |
| abstract_inverted_index.suggesting | 226 |
| abstract_inverted_index.Conclusions | 177 |
| abstract_inverted_index.communities | 8, 184 |
| abstract_inverted_index.universally | 186 |
| abstract_inverted_index.associations | 34 |
| abstract_inverted_index.communities. | 51, 85 |
| abstract_inverted_index.communities; | 13 |
| abstract_inverted_index.confounding. | 135 |
| abstract_inverted_index.connectivity | 128 |
| abstract_inverted_index.dichotomised | 76 |
| abstract_inverted_index.consideration | 243 |
| abstract_inverted_index.context-level | 245 |
| abstract_inverted_index.dichotomised. | 90 |
| abstract_inverted_index.predominantly | 82 |
| abstract_inverted_index.relationships | 149 |
| abstract_inverted_index.socioeconomic | 195 |
| abstract_inverted_index.(1.07–7.67)). | 176 |
| abstract_inverted_index.(11.07–7.67)) | 172 |
| abstract_inverted_index.characteristics | 43, 87 |
| abstract_inverted_index.community-level | 194 |
| abstract_inverted_index.(1.35–10.01)), | 169 |
| abstract_inverted_index.sociodemographic | 40, 107, 238 |
| abstract_inverted_index.Cross-tabulations | 92 |
| abstract_inverted_index.sociodemographic, | 121 |
| abstract_inverted_index.cross-tabulations, | 118 |
| cited_by_percentile_year.max | 95 |
| cited_by_percentile_year.min | 89 |
| countries_distinct_count | 4 |
| institutions_distinct_count | 4 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/3 |
| sustainable_development_goals[0].score | 0.6800000071525574 |
| sustainable_development_goals[0].display_name | Good health and well-being |
| citation_normalized_percentile.value | 0.67340321 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |