Relative Risks of Exposure to Different Smoking Models on the Development of Nicotine Dependence during Adolescence: A Five-Wave Longitudinal Study

Leeuw, Rebecca N. H. de; Engels, Rutger C. M. E.; Vermulst, Ad A.; Scholte, Ron H. J.

doi:10.1016/j.jadohealth.2008.12.013

Cited by 16 publications

(17 citation statements)

References 34 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the present study, the prevalence of never-smokers endorsing ND symptoms (7.8%) was similar to past reports. Consistent with findings in adolescent smokers (e.g., AudrainMcGovern et al, 2007;De Leeuw et al, 2009;Hu et al, 2011), socio-demographic indictors, social exposure to smoking, psychosocial indicators, and substance use predicted ND symptoms in never-smokers.…”

Section: Discussionsupporting

confidence: 85%

“…Social exposure to smoking is a risk factor for ND symptoms in adolescents (e.g., Bélanger et al, 2008;Brook et al, 2009;De Leeuw et al, 2009). Current findings corroborated this association as smoking by friends (g = .19) predicted ND symptoms.…”

Section: Discussionsupporting

confidence: 72%

“…Parental smoking (Brook et al, 2009;Kleinjan et al, 2012) and parental ND (Hu et al, 2011) during adolescence were found to predict ND in adolescent and adult smokers. Further, sibling smoking and peer smoking predicted ND in adolescent smokers (Audrain-McGovern et al, 2007;De Leeuw et al, 2009;Hu et al, 2011;Wileyto et al, 2009). …”

Section: Predictors Of Nd Symptoms During Adolescence In Smoking Popumentioning

confidence: 89%

See 2 more Smart Citations

Predictors of nicotine dependence symptoms among never-smoking adolescents: A longitudinal analysis from the Nicotine Dependence in Teens Study

Racicot

McGrath

Karp

et al. 2013

Drug and Alcohol Dependence

View full text Add to dashboard Cite

Background-Recent cross-sectional studies suggest some adolescents who have never smoked cigarettes experience nicotine dependence (ND) symptoms and that exposure to second-hand smoke, social exposure to smoking, and alcohol use are plausible correlates. The aim of this study was to replicate and extend these findings by investigating possible predictors of ND symptoms longitudinally.Method-Participants included 847 secondary school students who had never smoked cigarettes enrolled in the Nicotine Dependence in Teens Study. Adolescents completed self-report questionnaires measuring smoking status, ND symptoms, and risk factors for ND in smokers (i.e., socio-demographic indicators, social exposure to smoking, psychosocial indicators, and substance use) in 20 survey cycles from 7 to 11th grade. Generalized estimating equations, which account for repeated measures within individuals, were used to test the predictors of ND symptoms. Results-Consistent ContributorsSimon Racicot developed the research question, conducted the literature review, undertook the statistical analyses, interpreted the results, and wrote and revised the manuscript. Jennifer J. McGrath supervised the literature review, the statistical analyses, and revised the manuscript. Igor Karp designed the analytical plan and revised the manuscript. Jennifer O'Loughlin designed the study, contributed to the protocol development, and revised the manuscript. All authors read and approved the final manuscript for submission. Conflict of interestThere is no conflict of interest. Conclusions-Replicating previous cross-sectional findings, peer smoking and alcohol use predicted ND symptoms among never-smoking adolescents. Extending these findings, previous predictors only observed among ever-smokers, including socio-demographic and psychosocial indicators, also predicted ND symptoms. This longitudinal investigation demonstrated the temporal relation of the predictors preceding ND symptoms. Future research should consider longer prospective studies with younger children to capture early onset of ND symptoms and with longer follow-up to detect eventual smoking uptake.

show abstract

Section: Discussionsupporting

confidence: 85%

Section: Discussionsupporting

confidence: 72%

Section: Predictors Of Nd Symptoms During Adolescence In Smoking Popumentioning

confidence: 89%

See 1 more Smart Citation

Predictors of nicotine dependence symptoms among never-smoking adolescents: A longitudinal analysis from the Nicotine Dependence in Teens Study

Racicot

McGrath

Karp

et al. 2013

Drug and Alcohol Dependence

View full text Add to dashboard Cite

show abstract

“…The adolescents were asked to report the stage of cigarette smoking on a 9-point scale, ranging from 1 (I have never smoked, not even one puff) to (9) I smoke at least once a day (Harakeh et al 2006;De Leeuw et al 2009). …”

Section: Smoking Cigarettesmentioning

confidence: 99%

Prospective Relationships Between Sleep Problems and Substance Use, Internalizing and Externalizing Problems

Pieters

Burk

Vorst

et al. 2014

J Youth Adolescence

105

View full text Add to dashboard Cite

While research has shown that sleep problems and substance use are reciprocally associated in adults, much less is known about this association in early adolescence. The main aim of the current longitudinal study was to explore bidirectional relationships between sleep problems, substance use, internalizing and externalizing problems in young adolescents. A prospective design was used incorporating two waves (approximately 1 year interval). A total of 555 young adolescents (290 females, M age = 13.96) participated in this study. All participants completed self-report measures in classrooms during regular school hours (questionnaires about sleep quality and sleep hygiene were used to measure sleep problems). The results indicated that sleep problems predicted changes in substance use, internalizing and externalizing problems over time, but problem behaviours did not predict changes in sleep problems, adjusted for gender, age and puberty. One exception was that alcohol use negatively predicted changes in sleep problems. This study suggests that sleep problems are important precursors of substance use, internalizing and externalizing problems in adolescence.

show abstract

“…Thus, one of the outstanding explanatory variables, because of its influence on drug consumption in adolescence, is the use of drugs by the peer group (Ciairano, Bosma, Miceli and Settani, 2008;Dick et al, 2007). In other words, friends' smoking behaviour (particularly the best friend) is one of the most influential factors in nicotine consumption behaviour of a teenager (De Leeuw, Engels, Vermulst and Scholte, 2009;De Vries, Engels, Kremers, Wet-zels and Mudde, 2003;Fisher, Winickoff, Camargo, Colditz and Frazier, 2007;Hall & Valente, 2007;Hoffman, Monge, Chou and Valente, 2007;Molyneux et al, 2004;Okoli, Richardson and Johnson, 2008;Otten, Engels and Prinstein, 2009;Piko, 2006). Nevertheless, the results of Szabo, White and Hayman (2006) suggest that prohibitions in the home in relation to tobacco reduce the likelihood of a teenager trying nicotine despite their friends' consumption behaviour.…”

Section: Introductionmentioning

confidence: 99%

Técnicas de clasificación de data mining: una aplicación al consumo de tabaco en adolescentes

et al. 2014

View full text Add to dashboard Cite

Título: Técnicas de clasificación de data mining: una aplicación al consumo de tabaco en adolescentes. Resumen: El presente trabajo tiene el propósito de analizar el poder predictivo de diversas variables psicosociales y de personalidad sobre el consumo o no consumo de nicotina en la población adolescente mediante el uso de diversas técnicas de clasificación procedentes de la metodología Data Mining. Más concretamente, se analizan las RNA -Perceptrón Multicapa (MLP), Funciones de Base Radial (RBF) y Redes Probabilísticas (PNN)--, los árboles de decisión, el modelo de regresión logística y el análisis discriminante. Para ello, se ha trabajado con una muestra de 2666 adolescentes, de los cuales 1378 no consumen nicotina mientras que 1288 son consumidores de nicotina. Los modelos analizados han sido capaces de discriminar correctamente entre ambos tipos de sujeto en un rango comprendido entre el 77.39% y el 78.20%, alcanzando una sensibilidad del 91.29% y una especificidad del 74.32%. Con este estudio, se pone a disposición del especialista en conductas adictivas, un conjunto de técnicas estadísticas avanzadas capaces de manejar simultáneamente una gran cantidad de variables y sujetos, así como aprender de forma automática patrones y relaciones complejas, siendo muy adecuadas para la predicción y prevención del comportamiento adictivo. Palabras clave: Redes neuronales artificiales; nicotina; data mining; tabaco; modelo de regresión logística; análisis discriminante.Abstract: This study is aimed at analysing the predictive power of different psychosocial and personality variables on the consumption or nonconsumption of nicotine in a teenage population using different classification techniques from the field of Data Mining. More specifically, we analyse ANNs -Multilayer Perceptron (MLP), Radial Basis Functions (RBF) and Probabilistic Neural Networks (PNNs) -decision trees, the logistic regression model and discriminant analysis. To this end, we worked with a sample of 2666 teenagers, 1378 of whom do not consume nicotine while 1288 are nicotine consumers. The models analysed were able to discriminate correctly between both types of subjects within a range of 77.39% to 78.20%, achieving 91.29% sensitivity and 74.32% specificity. With this study, we place at the disposal of specialists in addictive behaviours a set of advanced statistical techniques that are capable of simultaneously processing a large quantity of variables and subjects, as well as learning complex patterns and relationships automatically, in such a way that they are very appropriate for predicting and preventing addictive behaviour.

show abstract

Relative Risks of Exposure to Different Smoking Models on the Development of Nicotine Dependence during Adolescence: A Five-Wave Longitudinal Study

Cited by 16 publications

References 34 publications

Predictors of nicotine dependence symptoms among never-smoking adolescents: A longitudinal analysis from the Nicotine Dependence in Teens Study

Predictors of nicotine dependence symptoms among never-smoking adolescents: A longitudinal analysis from the Nicotine Dependence in Teens Study

Prospective Relationships Between Sleep Problems and Substance Use, Internalizing and Externalizing Problems

Técnicas de clasificación de data mining: una aplicación al consumo de tabaco en adolescentes

Contact Info

Product

Resources

About