A social contextual analysis of youth cigarette smoking development

Ennett, Susan T.; Foshee, Vangie A.; Bauman, Karl E.; Hussong, Andrea M.; Faris, Robert; Hipp, John R.; Cai, Li

doi:10.1093/ntr/ntq122

Cited by 75 publications

(75 citation statements)

References 60 publications

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“…Most social disorganization theories were developed to explain youth violent or property crimes, not substance use, and the role of the community may differ for these behaviors. Unlike predatory and economic crimes, drinking and drug use may be considered less harmful and more of a “rite of passage” for adolescents, which could result in less adult condemnation and regulation (Ennett et al, 2010; Foley et al, 2004). If this is the case, substance use will likely be unaffected by social norms and controls.…”

Section: Discussionmentioning

confidence: 99%

“…One review (Jackson et al, 2014) found only three studies that analyzed the impact of community attitudes regarding substance use on adolescent drinking, three studies assessing collective efficacy (i.e., social cohesion and efforts to informally control crime or deviance; see Sampson et al, 1997), and five studies examining social capital or neighborhood attachment. Most of these studies indicated null or contradictory effects of social processes on adolescent drug use (e.g., De Haan and Boljevac, 2010; Ennett et al, 2008, 2010; Musick et al, 2008). …”

Section: Introductionmentioning

confidence: 99%

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A multi-level analysis of the impact of neighborhood structural and social factors on adolescent substance use

Fagan

Wright

Pinchevsky

2015

Drug and Alcohol Dependence

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Background This paper examined the effects of neighborhood structural (i.e., economic disadvantage, immigrant concentration, residential stability) and social (e.g., collective efficacy, social network interactions, intolerance of drug use, legal cynicism) factors on the likelihood of any adolescent tobacco, alcohol, and marijuana use. Methods Analyses drew upon information from the Project on Human Development in Chicago Neighborhoods (PHDCN). Data were obtained from a survey of adult residents of 79 Chicago neighborhoods, two waves of interviews with 1,657 to 1,664 care-givers and youth aged 8 to 16 years, and information from the 1990 U.S. Census Bureau. Hierarchical Bernoulli regression models estimated the impact of neighborhood factors on substance use controlling for individual-level demographic characteristics and psycho-social risk factors. Results Few neighborhood factors had statistically significant direct effects on adolescent tobacco, alcohol or marijuana use, although youth living in neighborhoods with greater levels of immigrant concentration were less likely to report any drinking. Conclusion Additional theorizing and more empirical research are needed to better understand the ways in which contextual influences affect adolescent substance use and delinquency.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A multi-level analysis of the impact of neighborhood structural and social factors on adolescent substance use

Fagan

Wright

Pinchevsky

2015

Drug and Alcohol Dependence

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“…In fact, one study using the Brofenbrenner model found that neighbourhood rates of youth smoking affected adolescent smoking trajectories, over and above individual risk factors. 41 The association between some risk factors and smoking was present for trying smoking but not smoking intensity among experimental smokers, underlying the importance of modelling different smoking transitions separately. Trying smoking is strongly influenced by social risk factors (sibling smoking, friend smoking, movie smoking and team sports participation).…”

Section: Discussionmentioning

confidence: 99%

A comparison of individual versus community influences on youth smoking behaviours: a cross-sectional observational study

et al. 2012

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ObjectivesTo compare individual with community risk factors for adolescent smoking.DesignA cross-sectional observational study with multivariate analysis.SettingNational telephone survey.Participants3646 US adolescents aged 13–18 years in 2007 recruited through a random digit-dial survey.Outcome measuresEver tried smoking and, among experimental smokers, smoking intensity (based on smoking in past 30 days).ResultsOne-third of participants (35.6%, N=1297) had tried smoking. After controlling for individual risk factors, neither tobacco outlet density nor proximity were associated with tried smoking or smoking intensity. Associations with trying smoking included age (adjusted OR (AOR)=1.23, 95% CI 1.16 to 1.31), lower socioeconomic status (AOR=0.82, 95% CI 0.74 to 0.91), sibling smoking (AOR=2.13, 95% CI 1.75 to 2.59), friend smoking (AOR=2.60, 95% CI 2.19 to 3.10 for some and AOR=7.01, 95% CI 5.05 to 9.74 for most), movie smoking exposure (AOR=2.66, 95% CI 1.95 to 3.63), team sports participation (AOR=0.69, 95% CI 0.54 to 0.89) and sensation seeking (AOR=7.72, 95% CI 5.26 to 11.34). Among experimental smokers, age (AOR=1.32, 95% CI 1.21 to 1.44), minority status (AOR=0.48, 95% CI 0.30 to 0.79 for Black; AOR=0.46, 95% CI 0.31 to 0.69 for Hispanic; AOR=0.53, 95% CI 0.43 to 0.85 for mixed race/other), friend smoking (AOR=3.37, 95% CI 2.37 to 4.81 for some; AOR=20.27, 95% CI 13.22 to 31.08 for most), team sports participation (AOR=0.38, 95% CI 0.26 to 0.55) and sensation seeking (AOR=6.57, 95% CI 3.71 to 11.64) were associated with smoking intensity.ConclusionsThe study suggests that interventions and policies to prevent and reduce youth smoking should focus on individual risk factors for smoking, including supporting participation in team sports, minimising exposure to movie smoking, addressing the social influence of friend smoking and addressing experience seeking among high sensation-seekers.

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“…The study is guided by social-ecological theory (e.g., Corbett, 2001;Ennett et al, 2010;Green, Richard, amp and Potvin, 1996;Stokols, 1996) suggesting that multiple domains of influence such as household/family, peers, and workplace may provide a context for maintenance of smoking through pregnancy. For example, contexts characterized by the absence of antismoking rules and policies and a high number of individuals who smoke and continue to smoke around the pregnant woman are likely to support the maintenance of smoking during pregnancy.…”

mentioning

confidence: 99%

Sources and Frequency of Secondhand Smoke Exposure During Pregnancy

Eiden¹,

Molnar

Leonard

et al. 2011

Nicotine & Tobacco Research

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Introduction: This study examined sources of exposure to secondhand smoke (SHS) during pregnancy and misclassification of women as having no SHS exposure if partner smoking was used as the only measure of SHS exposure. We also examined changes in SHS exposure across the three trimesters of pregnancy. Methods:The sample consisted of 245 pregnant women who were in a serious relationship with a partner and 106 for examination of change over time. Women's smoking status was determined by a combination of self-reports and oral fluid assays. Women's reports of partner smoking, smoking by other social network members, and frequency of exposure to SHS were obtained. Results:The most common source of SHS exposure during pregnancy was the partner (n = 245). However, reliance on the partner smoking measure alone would have misclassified a substantial number of women as having no SHS exposure during pregnancy. The importance of exposure from the general social network was also evident in the finding that among nonsmoking women with nonsmoking partners, 50% reported some level of SHS exposure in the preceding week. Contrary to expectations, there were no changes in SHS exposure across the three trimesters of pregnancy (n = 106). Conclusions:Results highlight the need for treatment plans to target sources of exposure from other members of women's social networks in addition to partners. It may be unrealistic to expect women's cessation efforts to be successful in the face of consistent and continued SHS exposure through pregnancy. IntroductionResults from studies focusing on maternal exposure to secondhand smoke (SHS) during pregnancy suggest that there may be

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A social contextual analysis of youth cigarette smoking development

Cited by 75 publications

References 60 publications

A multi-level analysis of the impact of neighborhood structural and social factors on adolescent substance use

A multi-level analysis of the impact of neighborhood structural and social factors on adolescent substance use

A comparison of individual versus community influences on youth smoking behaviours: a cross-sectional observational study

Sources and Frequency of Secondhand Smoke Exposure During Pregnancy

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