| Literature DB >> 29151476 |
Takahiro Tabuchi1,2, Hiroyasu Iso2, Eric Brunner3.
Abstract
Previous systematic reviews of population-level tobacco control interventions and their effects on smoking inequality by socioeconomic factors concluded that tobacco taxation reduce smoking inequality by income (although this is not consistent for other socioeconomic factors, such as education). Inconsistent results have been reported for socioeconomic differences, especially for other tobacco control measures, such as smoke-free policies and anti-tobacco media campaigns. To understand smoking inequality itself and to develop strategies to reduce smoking inequality, knowledge of the underlying principles or mechanisms of the inequality over a long time-course may be important. For example, the inverse equity hypothesis recognizes that inequality may evolve in stages. New population-based interventions are initially primarily accessed by the affluent and well-educated, so there is an initial increase in socioeconomic inequality (early stage). These inequalities narrow when the deprived population can access the intervention after the affluent have gained maximum benefit (late stage). Following this hypothesis, all tobacco control measures may have the potential to reduce smoking inequality, if they continue for a long term, covering and reaching all socioeconomic subgroups. Re-evaluation of the impact of the interventions on smoking inequality using a long time-course perspective may lead to a favorable next step in equity effectiveness. Tackling socioeconomic inequality in smoking may be a key public health target for the reduction of inequality in health.Entities:
Keywords: equity effectiveness loop; inverse equity hypothesis; socioeconomic inequality in smoking; tobacco control
Mesh:
Year: 2017 PMID: 29151476 PMCID: PMC5865007 DOI: 10.2188/jea.JE20160206
Source DB: PubMed Journal: J Epidemiol ISSN: 0917-5040 Impact factor: 3.211
Figure 1. Socioeconomic inequality in smoking in Japan. (a) Education and current smoker prevalence (%). (b) Education and secondhand smoke exposure (%) Note. (a) Percentages of current smoking prevalence (every day or sometimes) among men and women aged 25–64 years (age-adjusted using the direct standardization method) from data from the 2010 Comprehensive Survey of Living Conditions of People on Health and Welfare (CSLC) and the 2010 Japanese Census in Japan.[13] (b) Percentages of frequent secondhand smoke exposure at home or workplace among men and women aged 25–64 years from linkage data from the 2010 CSLC and the 2010 National Health and Nutritional Survey (NHNS) in Japan.[14] Because NHNS has much a smaller sample size than CSLC, the ranges of bars (95% confidence intervals) was wider in NHNS.
Figure 2. A time course of health inequality based on theories Note: To indicate inequality simply, we illustrated the socioeconomically advantaged and disadvantaged populations.
Figure 3. Equity effectiveness loop* for socioeconomic inequality in smoking *We slightly modified the loop by ref. [30].