Critical steps in building the evidence base regarding media campaign effects on disadvantaged populations: A response to Fagan

Niederdeppe, Jeff; Kuang, Xiaodong; Crock, Brittney N.; Skelton, Ashley

doi:10.1016/j.socscimed.2008.06.038

Cited by 4 publications

(3 citation statements)

References 8 publications

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“…[1][2][3][4][5][6][7][8] However, because the majority of these studies have been conducted using general population samples, they provide limited evidence regarding the utility of mass media for increasing smoking cessation among socioeconomically disadvantaged populations, or among smokers from typically underrepresented racial or ethnic groups. [9][10][11] Smoking and smoking-attributable disease reflect a socioeconomic status (SES) gradient such that those with the least resources smoke at higher rates, quit at lower rates, and experience higher rates of morbidity and mortality from tobacco use. 3,[12][13][14][15][16][17][18][19] One study of U.S. adults showed that, from 1971 to 2002, smoking prevalence has declined approximately 18% among adults with high income and education, as opposed to only 6% among those with low income and education.…”

Section: Introductionmentioning

confidence: 99%

“…27 Several studies have examined the role of media campaigns on SES-related disparities, with mixed results. [9][10][11]28 Some campaigns have been shown to reduce SES disparities in smoking, 29,30 whereas others have generated equivalent effects, 31 and still others have exacerbated disparities. 32,33 Similarly mixed patterns have been observed in studies comparing campaign effects by race/ethnicity, with some finding comparable success in promoting quit rates across racial/ethnic groups (black vs. white) 34 and others finding greater effects on smoking prevalence for particular racial or ethnic groups (e.g., greater effects on whites vs. Hispanics).…”

Section: Introductionmentioning

confidence: 99%

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A National Mass Media Smoking Cessation Campaign: Effects by Race/Ethnicity and Education

et al. 2011

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A National Mass Media Smoking Cessation Campaign: Effects by Race/Ethnicity and Education

et al. 2011

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“…It has been noted that an important consideration in the development of public health policy in Australia is whether tobacco control strategies are as effective in reaching high risk groups (e.g., low SES) as they are in reducing smoking among normal or low risk groups (e.g., high SES) [16][17][18][19]. During a period of strong tobacco control activity from 1997 till 2005 in Australia [8], and from 1997 till 2011 in Victoria [7], smoking declined across all population subgroups but it was fastest in high risk groups (eg., low SES groups) among teenagers aged 12-15 years and adults respectively.…”

Section: Impact Of Key Population-based Smoking Reduction Strategies mentioning

confidence: 99%

Gains in life expectancy in the Australian population due to reductions in smoking: comparisons between interventions targeting the population versus interventions in a specific high risk group

Mannan

2020

BMC Public Health

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Background Four decades of population-based tobacco control strategies have contributed to substantial reduction in smoking prevalence in Australia. However, smoking prevalence is still double in socially disadvantaged groups compared to those that are not. But not all tobacco control strategies successfully used in the general population is effective in specific high-risk population groups. Hence, an effective way to reduce smoking in high risk population groups may include targeting them specifically to identify and support smokers to quit. In this backdrop, we examined whether tobacco control interventions at the population-level are more effective in increasing life expectancy among Australians compared to interventions targeting a high risk group or a combination of the two when smoking prevalence is reduced to 10 and 0% respectively. Methods Using the risk percentiles approach, analyses were performed separately for men and women using data from various sources such as the 2014–15 National Health Survey linked to death registry, simulated data for high risk groups, and the Australian population and deaths data from the census. Indigenous status was simulated by preferentially assigning those who are indigenous to lower SES quintiles. The age-sex distribution of mental disorder status was simulated using its distribution from 2016 National Drug Strategy Household Survey with 25.9% of mentally ill being assigned to current smoking category and the rest to non-smoking category. The age-sex distribution of prisoners was simulated based on 2014 ABS Prisoners Australia survey with 74% of prisoners being assigned to current smoker category and the rest to non-smoker category. Homelessness status was simulated according to age, sex and indigenous status for 2011 census with all homeless being allocated to the lowest SES category. The age-sex distribution of total cholesterol level was simulated based on 2011–13 Australian Health Survey. Results The results showed that the combined approach for reducing smoking is most effective for improving life expectancy of Australians particularly for the socially disadvantaged and mentally ill groups both of which have high fraction of smokers in the population. For those who were mentally ill the gain in ALE due to reduction of smoking to 10% was 0.53 years for males and 0.36 years for females which were around 51 and 42% respectively of the maximal gains in ALE that could be achieved through complete cessation. Conclusions Targeting high-risk population groups having substantial fraction of smokers in the population can strongly complement the existing population-based smoking reduction strategies. As population and high risk approaches are both important, the national prevention policies should make judicious use of both to maximize health gain.

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Nicotine Dependence and Cardiovascular Diseases: Biobehavioral and Psychosocial Correlates

Al’Absi¹,

Nakajima²,

Green³

et al. 2022

Handbook of Cardiovascular Behavioral Medicine

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Critical steps in building the evidence base regarding media campaign effects on disadvantaged populations: A response to Fagan

Cited by 4 publications

References 8 publications

A National Mass Media Smoking Cessation Campaign: Effects by Race/Ethnicity and Education

A National Mass Media Smoking Cessation Campaign: Effects by Race/Ethnicity and Education

Gains in life expectancy in the Australian population due to reductions in smoking: comparisons between interventions targeting the population versus interventions in a specific high risk group

Nicotine Dependence and Cardiovascular Diseases: Biobehavioral and Psychosocial Correlates

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