Who is most susceptible to movie smoking effects? Exploring the impacts of race and socio-economic status.
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| Title: | Who is most susceptible to movie smoking effects? Exploring the impacts of race and socio-economic status. |
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| Authors: | Soneji, Samir (AUTHOR), Lewis, Valerie A. (AUTHOR), Tanski, Susanne (AUTHOR), Sargent, James D. (AUTHOR) |
| Source: | Addiction. Dec2012, Vol. 107 Issue 12, p2201-2209. 9p. 2 Charts, 2 Graphs. |
| Subjects: | Smoking & psychology, Black people, Confidence intervals, Hispanic Americans, Interviewing, Motion pictures, Race, Research funding, Smoking, Teenagers' conduct of life, White people, Logistic regression analysis, Socioeconomic factors, Cross-sectional method, Data analysis software, Descriptive statistics, Adolescence |
| Geographic Terms: | United States |
| Abstract: | Aims This study assesses how race/ethnicity and socio-economic status modify the relationship between exposure to movie smoking and having tried smoking in adolescents. Design Data come from a cross-sectional telephone survey and were analyzed using logistic regression models. A respondent reporting ever having tried smoking was regressed on exposure to movie smoking, race, socio-economic status, the interactions of these variables and family and background characteristics. Setting National sample of US adolescents. Participants A total of 3653 respondents aged 13-18 years. Measurements Outcome was if subjects reported ever having tried smoking. Movie smoking exposure was assessed through respondents' reporting having watched a set of movie titles, which were coded for smoking instances. Findings The proportion having tried smoking was lower for blacks (32%) compared to Hispanics (41%) and whites (38%). The relationship between movie smoking and having tried smoking varied by race/ethnicity. Among whites and Hispanics exposure to movie smoking positively predicted smoking behavior, but movie smoking had no impact on blacks. Socio-economic status further modified the relation among whites; high socio-economic status white adolescents were more susceptible to movie smoking than low socio-economic status white adolescents. Conclusions Exposure to movie smoking is not experienced uniformly as a risk factor for having ever tried smoking among US adolescents. Whites and Hispanics are more likely to try smoking as a function of increased exposure to movie smoking. In addition, higher socio-economic status increases susceptibility to movie smoking among whites. Youth with fewer risk factors may be more influenced by media messages on smoking. [ABSTRACT FROM AUTHOR] |
| Copyright of Addiction is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Psychology and Behavioral Sciences Collection |
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| Header | DbId: pbh DbLabel: Psychology and Behavioral Sciences Collection An: 83485215 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Who is most susceptible to movie smoking effects? Exploring the impacts of race and socio-economic status. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Soneji%2C+Samir%22">Soneji, Samir</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Lewis%2C+Valerie+A%2E%22">Lewis, Valerie A.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Tanski%2C+Susanne%22">Tanski, Susanne</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Sargent%2C+James+D%2E%22">Sargent, James D.</searchLink> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Addiction%22">Addiction</searchLink>. Dec2012, Vol. 107 Issue 12, p2201-2209. 9p. 2 Charts, 2 Graphs. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Smoking+%26+psychology%22">Smoking & psychology</searchLink><br /><searchLink fieldCode="DE" term="%22Black+people%22">Black people</searchLink><br /><searchLink fieldCode="DE" term="%22Confidence+intervals%22">Confidence intervals</searchLink><br /><searchLink fieldCode="DE" term="%22Hispanic+Americans%22">Hispanic Americans</searchLink><br /><searchLink fieldCode="DE" term="%22Interviewing%22">Interviewing</searchLink><br /><searchLink fieldCode="DE" term="%22Motion+pictures%22">Motion pictures</searchLink><br /><searchLink fieldCode="DE" term="%22Race%22">Race</searchLink><br /><searchLink fieldCode="DE" term="%22Research+funding%22">Research funding</searchLink><br /><searchLink fieldCode="DE" term="%22Smoking%22">Smoking</searchLink><br /><searchLink fieldCode="DE" term="%22Teenagers'+conduct+of+life%22">Teenagers' conduct of life</searchLink><br /><searchLink fieldCode="DE" term="%22White+people%22">White people</searchLink><br /><searchLink fieldCode="DE" term="%22Logistic+regression+analysis%22">Logistic regression analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Socioeconomic+factors%22">Socioeconomic factors</searchLink><br /><searchLink fieldCode="DE" term="%22Cross-sectional+method%22">Cross-sectional method</searchLink><br /><searchLink fieldCode="DE" term="%22Data+analysis+software%22">Data analysis software</searchLink><br /><searchLink fieldCode="DE" term="%22Descriptive+statistics%22">Descriptive statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Adolescence%22">Adolescence</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22United+States%22">United States</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Aims This study assesses how race/ethnicity and socio-economic status modify the relationship between exposure to movie smoking and having tried smoking in adolescents. Design Data come from a cross-sectional telephone survey and were analyzed using logistic regression models. A respondent reporting ever having tried smoking was regressed on exposure to movie smoking, race, socio-economic status, the interactions of these variables and family and background characteristics. Setting National sample of US adolescents. Participants A total of 3653 respondents aged 13-18 years. Measurements Outcome was if subjects reported ever having tried smoking. Movie smoking exposure was assessed through respondents' reporting having watched a set of movie titles, which were coded for smoking instances. Findings The proportion having tried smoking was lower for blacks (32%) compared to Hispanics (41%) and whites (38%). The relationship between movie smoking and having tried smoking varied by race/ethnicity. Among whites and Hispanics exposure to movie smoking positively predicted smoking behavior, but movie smoking had no impact on blacks. Socio-economic status further modified the relation among whites; high socio-economic status white adolescents were more susceptible to movie smoking than low socio-economic status white adolescents. Conclusions Exposure to movie smoking is not experienced uniformly as a risk factor for having ever tried smoking among US adolescents. Whites and Hispanics are more likely to try smoking as a function of increased exposure to movie smoking. In addition, higher socio-economic status increases susceptibility to movie smoking among whites. Youth with fewer risk factors may be more influenced by media messages on smoking. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Addiction is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=pbh&AN=83485215 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1111/j.1360-0443.2012.03990.x Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 9 StartPage: 2201 Subjects: – SubjectFull: Smoking & psychology Type: general – SubjectFull: Black people Type: general – SubjectFull: Confidence intervals Type: general – SubjectFull: Hispanic Americans Type: general – SubjectFull: Interviewing Type: general – SubjectFull: Motion pictures Type: general – SubjectFull: Race Type: general – SubjectFull: Research funding Type: general – SubjectFull: Smoking Type: general – SubjectFull: Teenagers' conduct of life Type: general – SubjectFull: White people Type: general – SubjectFull: Logistic regression analysis Type: general – SubjectFull: Socioeconomic factors Type: general – SubjectFull: Cross-sectional method Type: general – SubjectFull: Data analysis software Type: general – SubjectFull: Descriptive statistics Type: general – SubjectFull: Adolescence Type: general – SubjectFull: United States Type: general Titles: – TitleFull: Who is most susceptible to movie smoking effects? Exploring the impacts of race and socio-economic status. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Soneji, Samir – PersonEntity: Name: NameFull: Lewis, Valerie A. – PersonEntity: Name: NameFull: Tanski, Susanne – PersonEntity: Name: NameFull: Sargent, James D. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 12 Text: Dec2012 Type: published Y: 2012 Identifiers: – Type: issn-print Value: 09652140 Numbering: – Type: volume Value: 107 – Type: issue Value: 12 Titles: – TitleFull: Addiction Type: main |
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