Social influence, intention to smoke, and adolescent smoking behaviour longitudinal relations

Vitória, Paulo; Salgueiro, Maria; Silva, Sílvia Agostinho da; Vries, Hein de

doi:10.1111/j.2044-8287.2010.02014.x

Cited by 43 publications

(51 citation statements)

References 51 publications

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“…Also, certain personal factors we found to predict (low refusal self-efficacy) or protect against (health concerns) WP initiation have also been similarly associated with cigarette smoking initiation (Bidstrup et al, 2009; Hiemstra et al, 2011; O’Loughlin et al, 2009; Piko et al, 2005; Scal et al, 2003; Ma et al, 2008; Chang et al, 2006; Tyas and Pederson, 1998). Finally, in line with our findings, studies measuring smoking intention found this domain to be a strong predictor of cigarette initiation (Vitória et al, 2011; Skara et al, 2001; Stanton et al, 2005). …”

Section: Discussionsupporting

confidence: 91%

“…Although research on risk factors for WP initiation among adolescents is nonexistent, the temporal precedence of many predictors identified here fit with earlier longitudinal studies on adolescent cigarette smoking initiation (O’Loughlin et al, 2009; Miller et al, 2006; Morgenstern et al, 2013; Bidstrup et al, 2009; Hiemstra et al, 2011; Scal et al, 2003; Ma et al, 2008; Vitória et al, 2011; Skara et al, 2001; Stanton et al, 2005; Chang et al, 2006; Fujimoto et al, 2012; Wood et al, 2013; Tyas and Pederson, 1998). Research has frequently shown that predisposing factors such as use of other tobacco products is predictive of cigarette initiation (O’Loughlin et al, 2009; Mzayek et al, 2012).…”

Section: Discussionsupporting

confidence: 77%

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Determinants of waterpipe smoking initiation among school children in Irbid, Jordan: A 4-year longitudinal analysis

McKelvey¹,

Attonito²,

Madhivanan³

et al. 2014

Drug and Alcohol Dependence

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Objective Guided by the Attitude-Social influence-self Efficacy (ASE) theory, this study identified predictors of waterpipe (WP) smoking initiation in a WP naïve cohort of Jordanian schoolchildren. Methods A school-based cohort of all 7th grade students (N=1,781) in 19 of 60 schools in Irbid, Jordan, was followed from 2008 to 2011. Generalized linear mixed modeling was used to examine predictors of WP initiation among WP-naïve students (N=1,243). Results During the 3-year study, WP initiation was documented in 39% of boys and 28% of girls. Prior cigarette smoking (boys: Odds Ratio 7.41; 95% Confidence Interval 4.05–12.92 and girls: 8.48; 4.34–16.56) and low WP refusal self-efficacy (boys: 26.67; 13.80–51.53 and girls: 11.49; 6.42–20.55) were strongly predictive of initiating WP. Boys were also more likely to initiate WP smoking if they had siblings (2.30; 1.14- 4.64) or teachers (2.07; 1.12–3.84) who smoked and girls if they had friends (2.96; 1.59–5.54) who smoked. Conclusion There is a sizeable incidence of WP initiation among students of both sexes. These findings will help in designing culturally responsive prevention interventions against WP smoking. Gender-specific factors, refusal skills, and cigarette smoking need to be important components of such initiatives.

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Section: Discussionsupporting

confidence: 91%

Section: Discussionsupporting

confidence: 77%

Determinants of waterpipe smoking initiation among school children in Irbid, Jordan: A 4-year longitudinal analysis

McKelvey¹,

Attonito²,

Madhivanan³

et al. 2014

Drug and Alcohol Dependence

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“…It is likely that all of these processes are at work. Some previous studies have reported that descriptive norms (perceived behavior of others) rather than injunctive norms (perceived approval of others) are related to adolescents’ smoking (Vitória et al 2011; Mercken et al 2011). In contrast, we found that both were significantly related to adolescents’ smoking in multivariate models, although the association between adolescents’ own smoking and perceived smoking by friends may be somewhat stronger.…”

Section: Discussionmentioning

confidence: 99%

“…These associations have been reported both cross-sectionally (Villanti et al 2011) and longitudinally (Duan, Chou, Andreeva, & Pentz 2009; Bricker et al 2006). Studies further indicate that descriptive norms may be related more closely to adolescents’ smoking intentions and behavior than are injunctive norms (Vitória, Salgueiro, Silva, & de Vries 2011; Mercken, Candel, van Osch, & de Vries 2011). Given the role of normative beliefs in adolescents’ smoking and their potential significance as targets for prevention, it is important to improve our understanding of how they may interact with the broader normative environment.…”

Section: Introductionmentioning

confidence: 99%

Community-Level Adult Daily Smoking Prevalence Moderates the Association Between Adolescents’ Cigarette Smoking and Perceived Smoking by Friends

Thrul

Lipperman‐Kreda

Grube

et al. 2013

J Youth Adolescence

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Few studies have investigated the complex interactions among the individual- and community-level social risk factors that underlie adolescents’ smoking behaviors. This study investigated whether community-level adult daily smoking prevalence is associated with adolescents’ smoking and whether it moderates the associations between perceived friends’ smoking approval and smoking behavior and adolescents’ own smoking. Self-reported data from 1,190 youths (50.3% female; 13–18 years old) in 50 midsized Californian cities were obtained through telephone interviews. Community characteristics were obtained from 2010 GeoLytics data. Community adult daily smoking prevalence was ascertained from telephone interviews with 8,918 adults conducted in the same 50 cities. Multilevel analyses, controlling for individual and city characteristics, were used to predict adolescents’ past 12-month smoking from perceived friends’ smoking approval and smoking behavior and from community adult daily smoking prevalence. Results showed that perceived friends’ smoking approval and behavior were associated positively with adolescents’ smoking, as was the community-level prevalence of adult daily smoking. Furthermore, the association between perceived friends’ smoking behavior and adolescents’ own smoking was moderated by the prevalence of adult daily smokers in the community. Specifically, the association was stronger in cities with higher prevalence of adult smokers. These results suggest that adult community norms that are more supportive of smoking may enhance the influence of friends’ smoking behavior. Therefore, interventions designed to prevent or reduce youths’ smoking should also focus on reducing smoking by adults.

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“…10 Another important risk of this parental behaviour is the proven influence on the likelihood of children becoming smokers in the future. 11,12 Despite these consequences, the WHO estimates that worldwide about half of the children (700 million) are exposed to SHS, mainly in their own homes. 9,13 Two Portuguese studies revealed that 38% and 41% of the children were daily or occasionally exposed to SHS caused by their parents' smoke.…”

mentioning

confidence: 99%

Children's exposure to second hand smoke at home: A cross-sectional study in Portugal

Vitória

Machado

Araújo

et al. 2015

Revista Portuguesa de Pneumologia (English Edition)

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Second-hand tobacco smoke (SHS) is a major indoor pollutant that causes serious health problems for all exposed, especially children. Children are often exposed to SHS at home, due to parental or other households' or guests' smoking. This study describes Portuguese children's exposure to SHS at home (total and by Portuguese main regions). In 2010/2011, a questionnaire was applied to a sample of Portuguese children in the 4th grade (N=3187, mean age 9.05±0.7 years, 51.1% male). Descriptive analysis, chi-square tests and crude odds ratios were performed. Of the participants, 62.9% of those with smoking parents and 19.2% of those with non-smoking parents were exposed to SHS at their home. Parental smoking varied significantly among regions and was significantly associated with children's exposure to SHS at home. Children's exposure to SHS at home was high, especially if their parents smoke. Children living in Lisbon Region presented the highest SHS exposure rate. The association of SHS exposure with geographic regions suggests the influence of social and contextual factors on smoking behaviour and on tobacco control effectiveness. Our findings highlight the need to effectively prevent children's SHS exposure at their home and to develop tailored tobacco control measures by region.

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Social influence, intention to smoke, and adolescent smoking behaviour longitudinal relations

Cited by 43 publications

References 51 publications

Determinants of waterpipe smoking initiation among school children in Irbid, Jordan: A 4-year longitudinal analysis

Determinants of waterpipe smoking initiation among school children in Irbid, Jordan: A 4-year longitudinal analysis

Community-Level Adult Daily Smoking Prevalence Moderates the Association Between Adolescents’ Cigarette Smoking and Perceived Smoking by Friends

Children's exposure to second hand smoke at home: A cross-sectional study in Portugal

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