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Tobacco smoking as a social justice issue: Advances in research

2012· editorial· en· W2057864528 on OpenAlexaboutno aff
Billie Bonevski, Amanda Baker

Bibliographic record

VenueDrug and Alcohol Review · 2012
Typeeditorial
Languageen
FieldMedicine
TopicSmoking Behavior and Cessation
Canadian institutionsnot available
Fundersnot available
KeywordsDisadvantagedTobacco controlSocioeconomic statusPublic healthEnvironmental healthMedicineCriminologyPolitical sciencePsychologyPopulationNursingLaw

Abstract

fetched live from OpenAlex

Smoking has been found to be the strongest mediator of social inequality in all-cause mortality when a range of health behaviours are considered 1. A social gradient in smoking exists whereby smoking prevalence rates rise as one moves down the socioeconomic scale in developed countries including Australia, the USA and the UK, regardless of how social status is defined 2. Clearly, understanding why the social gradient exists and developing effective strategies for reducing smoking among socially disadvantaged groups is a major public health priority. This special issue begins with an article by Paul et al. 3 describing the opinions of the Australian and New Zealand tobacco control community on how tobacco control resources should be used. The results provide a backdrop of support, measured by consensus expert opinion, for increased resourcing of mass media campaigns and tobacco control research budgets towards addressing tobacco use in disadvantaged groups. In this issue, Passey and colleagues 4 and Stewart and colleagues 5 examine factors associated with health and smoking among Aboriginal and Torres Strait Islander clients of two types of health services: antenatal services 4 and Aboriginal Community Controlled Health Services 5. The surveys found high smoking rates (46% and 51% respectively) compared with the national adult smoking rates in Australia of 15% 6 and identify ways that smoking could be addressed within the health services. Other high-smoking-prevalence groups outlined in the special issue include prisoners 7, young people in custody 8 and people in residential drug and alcohol rehabilitation 9. Each paper highlights the promise of system-level changes to de-normalise smoking and reduce smoking rates in settings that are frequented by smokers 10. The complexity of the relative contributions of area-level and individual factors in understanding the social gradient in smoking and quitting is shown in research by Turrell and colleagues 11, and also that by Partos and colleagues 12. First, Turrell et al. 11 report the results of a multilevel longitudinal study of 6915 Brisbane residents surveyed in 2007 and 2009. The study found that smokers from socioeconomically disadvantaged areas are significantly less likely to quit smoking than those in more affluent areas, after adjusting for individual socioeconomic factors including household income, education and occupation. The study provides valuable insights into the potential beneficial effects that social, neighbourhood and community improvements could have on health. In contrast, Partos et al. 12, who analysed data from 3503 participants from the Australian arm of the International Tobacco Control Four-Country Survey, found no associations between area-level disadvantage and smoking cessation after controlling for a range of individual-level factors. These authors recommend further research into the individual factors such as links between smoking cessation and psychological distress. No doubt, smoking cessation needs to be addressed at both the area level and at an individual level. Only limited data are available on the impact of whole-of-population approaches such as mass media, pricing and smoke-free policies on the smoking behaviours of socially disadvantaged groups. Four papers in this special issue explore these approaches. In a comprehensive systematic and methodological review of the effectiveness of mass media campaigns on smoking cessation among selected socially disadvantaged groups, Guillaumier et al. 13 failed to find robust evidence. In an international study of smokers in Australia, the USA, the UK and Canada, Siahpush et al. 14 found that higher expenditure on cigarettes leads to smoking-induced deprivation, which can increase financial stress. The authors conclude that this ‘implies that the policy of increasing the price of tobacco might promote financial burden among smokers’ and suggest that prospective studies need to be conducted to better understand the effect of tobacco price policies on financial burden, particularly among lower socioeconomic groups. In a qualitative study, Hehir et al. 15 found promising results among patients in a forensic mental health hospital with a newly implemented smoke-free policy—although a majority of participants smoked when they entered the hospital, most indicated that the smoke-free environment had a positive effect on their health and that it encouraged their continued cessation at discharge. Taking population approaches one step further, Dalton 16 explores the end game scenario proposing a total ban of retail tobacco sales with an invited response from Lawn 17 who encourages caution. While it is important to implement and monitor the effect of whole-of-population tobacco control strategies with socially disadvantaged groups, there is also a need for more evidence regarding targeted approaches 18. A number of pilot studies of novel smoking cessation programs are reported in the special issue targeting prisoners 7, homeless people 19 and clients of social and community service organisations 20, 21. Each of them shows the feasibility and acceptability of targeted approaches and calls for further rigorous trials. Providing a unique perspective, Baker et al. 22 describe the possibilities for harm reduction strategies for smokers with mental health or substance abuse problems. The need for innovative approaches to reduce the high rate of smoking among socially disadvantaged groups is clear. Murray and McNeill 23 provide a UK perspective, outlining some of the lessons learnt so far from the newly established National Health Service Stop Smoking Services and other Department of Health pilot projects. While engagement with health professionals is a key component of UK efforts, in the landmark Tackling Tobacco Program in Australia is extending smoking cessation efforts to non-health settings such as community and social service organisations, which provide welfare support to highly disadvantaged individuals and families 24. This program recognises the need to build the capacity of social support organisations to address tobacco use with their disadvantaged clients. Action taken to reduce the health inequities associated with high rates of smoking among socially disadvantaged groups will result in health, economic and social benefits for the whole of society 25. One of the key policy recommendations made by the World Health Organization Commission on the Social Determinants of Health is ‘Focusing public health interventions such as smoking cessation programs and alcohol reduction on reducing the social gradient’ (p. 32) 26. This special issue provides cause for optimism by showcasing advances made in meeting that recommendation.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.148
Threshold uncertainty score0.904

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.102
GPT teacher head0.483
Teacher spread0.381 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations4
Published2012
Admission routes1
Has abstractyes

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