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      The association between personal income and smoking among adolescents: a study in six European cities

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          Abstract

          Aims

          This study investigates the link between personal income and smoking among adolescents, and aims to answer the following questions: (i) to what extent is personal income related to smoking, independent of family socio‐economic status (SES) and (ii) does the association between personal income and smoking apply to different subpopulations?

          Design

          Cross‐sectional study.

          Setting

          Six cities from European countries (Amersfoort, the Netherlands; Coimbra, Portugal; Hannover, Germany; Latina, Italy; Namur, Belgium; Tampere, Finland) in 2013.

          Participants

          A school‐based sample of 10 794 adolescents aged 14–17 years.

          Measurements

          We modelled smoking experimentation, weekly smoking, daily smoking and (among daily smokers) smoking intensity as function of personal income, adjusting for age, sex, family SES, parental smoking and country. We tested interactions between personal income and covariates. Stratification analyses were performed for the variables for which interactions were significant.

          Findings

          Adolescents in the highest income quintile were more likely to be smoking experimenters [odds ratio (OR) = 1.87; P < 0.01], weekly smokers (OR = 3.51; P < 0.01) and daily smokers (OR = 4.55; P < 0.01) than those in the lowest quintile. They also consumed more cigarettes per month (β = 0.79; P < 0.01). Adjusting for family SES did not modify the significance of relationships, and increased the magnitude of the association for daily smoking. None of the interactions between covariates and personal income was significant for smoking measures. For the intensity of smoking, the interaction was significant for SES. The stratified analysis showed a non‐significant association between smoking intensity and personal income among the oldest adolescents and those with the lowest SES background, while significant among younger and higher SES backgrounds.

          Conclusion

          In the Netherlands, Portugal, Germany, Italy, Belgium and Finland, adolescents' personal income is related positively to smoking behaviours independent of family socio‐economic status (SES). However, among low socio‐economic status adolescent daily smokers, the association between the intensity of smoking and personal income is weaker.

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          Most cited references37

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          Socioeconomic Disparities in Health Behaviors.

          The inverse relationships between socioeconomic status (SES) and unhealthy behaviors such as tobacco use, physical inactivity, and poor nutrition have been well demonstrated empirically but encompass diverse underlying causal mechanisms. These mechanisms have special theoretical importance because disparities in health behaviors, unlike disparities in many other components of health, involve something more than the ability to use income to purchase good health. Based on a review of broad literatures in sociology, economics, and public health, we classify explanations of higher smoking, lower exercise, poorer diet, and excess weight among low-SES persons into nine broad groups that specify related but conceptually distinct mechanisms. The lack of clear support for any one explanation suggests that the literature on SES disparities in health and health behaviors can do more to design studies that better test for the importance of the varied mechanisms.
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            Adolescents' perceptions of social status: development and evaluation of a new indicator.

            Eliminating health disparities, including those that are a result of socioeconomic status (SES), is one of the overarching goals of Healthy People 2010. This article reports on the development of a new, adolescent-specific measure of subjective social status (SSS) and on initial exploratory analyses of the relationship of SSS to adolescents' physical and psychological health. A cross-sectional study of 10 843 adolescents and a subsample of 166 paired adolescent/mother dyads who participated in the Growing Up Today Study was conducted. The newly developed MacArthur Scale of Subjective Social Status (10-point scale) was used to measure SSS. Paternal education was the measure of SES. Indicators of psychological and physical health included depressive symptoms and obesity, respectively. Linear regression analyses determined the association of SSS to depressive symptoms, and logistic regression determined the association of SSS to overweight and obesity, controlling for sociodemographic factors and SES. Mean society ladder ranking, a subjective measure of SES, was 7.2 +/- 1.3. Mean community ladder ranking, a measure of perceived placement in the school community, was 7.6 +/- 1.7. Reliability of the instrument was excellent: the intraclass correlation coefficient was 0.73 for the society ladder and 0.79 for the community ladder. Adolescents had higher society ladder rankings than their mothers (micro(teen) = 7.2 +/- 1.3 vs micro(mom) = 6.8 +/- 1.2; P =.002). Older adolescents' perceptions of familial placement in society were more closely correlated with maternal subjective perceptions of placement than those of younger adolescents (Spearman's rho(teens <15 years) = 0.31 vs Spearman's rho(teens 15 years) = 0.45; P <.001 for both). SSS explained 9.9% of the variance in depressive symptoms and was independently associated with obesity (odds ratio(society) = 0.89, 95% confidence interval = 0.83, 0.95; odds ratio(community) = 0.91, 95% confidence interval = 0.87, 0.97). For both depressive symptoms and obesity, community ladder rankings were more strongly associated with health than were society ladder rankings in models that controlled for both domains of SSS. This new instrument can reliably measure SSS among adolescents. Social stratification as reflected by SSS is associated with adolescents' health. The findings suggest that as adolescents mature, SSS may undergo a developmental shift. Determining how these changes in SSS relate to health and how SSS functions prospectively with regard to health outcomes requires additional research.
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              Impact of Tobacco Control Interventions on Smoking Initiation, Cessation, and Prevalence: A Systematic Review

              Background. Policymakers need estimates of the impact of tobacco control (TC) policies to set priorities and targets for reducing tobacco use. We systematically reviewed the independent effects of TC policies on smoking behavior. Methods. We searched MEDLINE (through January 2012) and EMBASE and other databases through February 2009, looking for studies published after 1989 in any language that assessed the effects of each TC intervention on smoking prevalence, initiation, cessation, or price participation elasticity. Paired reviewers extracted data from studies that isolated the impact of a single TC intervention. Findings. We included 84 studies. The strength of evidence quantifying the independent effect on smoking prevalence was high for increasing tobacco prices and moderate for smoking bans in public places and antitobacco mass media campaigns. Limited direct evidence was available to quantify the effects of health warning labels and bans on advertising and sponsorship. Studies were too heterogeneous to pool effect estimates. Interpretations. We found evidence of an independent effect for several TC policies on smoking prevalence. However, we could not derive precise estimates of the effects across different settings because of variability in the characteristics of the intervention, level of policy enforcement, and underlying tobacco control environment.
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                Author and article information

                Contributors
                jperelman@ensp.unl.pt
                Journal
                Addiction
                Addiction
                10.1111/(ISSN)1360-0443
                ADD
                Addiction (Abingdon, England)
                John Wiley and Sons Inc. (Hoboken )
                0965-2140
                1360-0443
                08 September 2017
                December 2017
                : 112
                : 12 ( doiID: 10.1111/add.v112.12 )
                : 2248-2256
                Affiliations
                [ 1 ] Escola Nacional de Saúde Pública Universidade NOVA de Lisboa, and Centro de Investigação em Saúde Pública Portugal
                [ 2 ] Institute for Medical Sociology, Health Services Research, and Rehabilitation Science (IMVR), Faculty of Human Sciences and Faculty of Medicine University of Cologne Cologne Germany
                [ 3 ] Institute of Medical Sociology, Martin Luther University Halle‐Wittenberg Germany
                [ 4 ] Department of Human Sciences, Society and Health University of Cassino and Southern Lazio Italy
                [ 5 ] Department of Public Health, Academic Medical Center University of Amsterdam the Netherlands
                [ 6 ] Department of Adolescent Psychiatry Tampere University Hospital Finland
                [ 7 ] Institute of Health and Society, Université catholique de Louvain Belgium
                Author notes
                [*] [* ] Correspondence to: Julian Perelman, Escola Nacional de Saúde Pública, Avenida Padre Cruz, 1600‐560 Lisbon, Portugal. E‐mail: jperelman@ 123456ensp.unl.pt
                Author information
                http://orcid.org/0000-0001-6634-9000
                Article
                ADD13930 ADD-16-1091.R2
                10.1111/add.13930
                5698771
                28667824
                41e883f4-07fc-41fe-9563-ad3d9912b2c8
                © 2017 The Authors. Addiction published by John Wiley & Sons Ltd on behalf of Society for the Study of Addiction.

                This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.

                History
                : 07 November 2016
                : 06 February 2017
                : 23 June 2017
                Page count
                Figures: 1, Tables: 5, Pages: 9, Words: 4029
                Funding
                Funded by: Seventh Framework Programme
                Award ID: 278273
                Funded by: Horizon 2020
                Award ID: 635056
                Funded by: Horizon 2020
                Award ID: 635056
                Funded by: European Commission, Directorate General for Research and Innovation
                Award ID: 278273
                Categories
                Research Report
                Research Reports
                Custom metadata
                2.0
                add13930
                December 2017
                Converter:WILEY_ML3GV2_TO_NLMPMC version:5.2.6 mode:remove_FC converted:22.11.2017

                Clinical Psychology & Psychiatry
                adolescents,bans,incentives,personal income,smoking,socio‐economic status

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