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Adolescent Smoking (adolescent + smoking)

Distribution by Scientific Domains

Medical Sciences	82%

Selected Abstracts

IMPROVING UNDERSTANDING OF SIBLING EFFECTS ON ADOLESCENT SMOKING: RESPONSE TO THE COMMENTARIES

ADDICTION, Issue 4 2005
RICHARD RENDE
No abstract is available for this article. [source]

MOTIVATIONS FOR PRODUCT CONSUMPTION: APPLICATION OF A PROBABILISTIC MODEL TO ADOLESCENT SMOKING

JOURNAL OF SENSORY STUDIES, Issue 2 2004
DANIEL M. ENNIS
ABSTRACT This paper describes a method that can be used to investigate consumers' reported reasons for using a particular product. This method is applied to ratings of degree of agreement with statements about reasons for product use. The method is illustrated using data on self-reported reasons for smoking among adolescents. The approach used is based on a probabilistic model of similarity (Ennis et al. 1988) and provides a display of the density of respondents' individual motivations concurrent with their perceptions of the statements. Factor analysis and its derived factor scores provide complementary information which is used to understand the interdependence of smoking motivations with the age of respondents and their degree of smoking. The probabilistic similarity model has many applications in studying consumer motivations such as those involved in the consumption of particular food and personal care products. [source]

Factors Associated with Physician Interventions to Address Adolescent Smoking

HEALTH SERVICES RESEARCH, Issue 3 2004
Tammy H. Sims
Objective. To determine the percent of adolescent Medicaid patients with medical record documentation about tobacco use status and cessation assistance; and factors associated with providers documenting and intervening with adolescent smokers. Data Source. Secondary analysis of data collected in 1999 from medical records of Wisconsin Medicaid health maintenance organization (HMO) recipients 11 to 21 years old. Study Design. Random reviews and data collection were related to visits from January 1997 to January 1999. Data collected included patient demographics, provider type, number of visits, and whether smoking status and cessation interventions were documented. Data Extraction Methods. Medical charts were reviewed and a database was created using a data abstraction tool developed and approved by a committee to address tobacco use in Medicaid managed care participants. Principal Findings. Among adolescents seen by a physician from 1997 to 1999, tobacco use status was documented in 55 percent of patient charts. Most often tobacco use status was documented on history and physical or prenatal forms. Of identified adolescent smokers, 50 percent were advised to quit, 42 percent assisted, and 16 percent followed for smoking cessation. Pregnant patients were more likely to have tobacco use documented than nonpregnant patients (OR=10.8, 95 percent CI=4.9 to 24). The odds of documentation increased 21 percent for every one-year increase in patient age. Conclusions. Providers miss opportunities to intervene with adolescents who may be using tobacco. Medical record prompts, similar to the tobacco use question on prenatal forms and the tobacco use vital sign stamp, are essential for reminding providers to consistently document and address tobacco use among adolescents. [source]

Presumed Influence on Peer Norms: How Mass Media Indirectly Affect Adolescent Smoking

JOURNAL OF COMMUNICATION, Issue 1 2006
Albert C. Gunther
In the context of adolescent smoking adoption, this study examined the presumed influence hypothesis, a theoretical model suggesting that smoking-related media content may have a significant indirect influence on adolescent smoking via its effect on perceived peer norms. That is, adolescents may assume that smoking-related messages in the mass media will influence the attitudes and behaviors of their peers and these perceptions in turn can influence adolescents' own smoking behaviors. Analyzing data from a sample of 818 middle school students, we found that both pro- and antismoking messages indirectly influenced smoking susceptibility through their perceived effect on peers. However, this indirect effect was significantly stronger for prosmoking messages than for antismoking messages, an outcome that most likely increases adolescents' susceptibility to cigarettes. [source]

Adolescent smoking and depression: evidence for self-medication and peer smoking mediation

ADDICTION, Issue 10 2009
Janet Audrain-McGovern
ABSTRACT Aims The nature of the relationship between adolescent smoking and depression is unclear and the mechanisms that account for the comorbidity have received little investigation. The present study sought to clarify the temporal precedence for smoking and depression and to determine whether these variables are linked indirectly through peer smoking. Participants The sample was composed of 1093 adolescents participating in a longitudinal study of the behavioral predictors of smoking adoption. Design and measurements In this prospective cohort study, smoking, depression, peer smoking and other covariates were measured annually from mid-adolescence (9th grade; age 14) to late adolescence (12th grade, age 18). Findings Parallel processes latent growth curve models supported a bidirectional relationship between adolescent smoking and depression, where higher depression symptoms in mid-adolescence (age 14) predicted adolescent smoking progression from mid- to late adolescence (ages 14,18). A significant indirect effect indicated that higher depression symptoms across time predicted an increase in the number of smoking peers, which in turn predicted smoking progression from mid-adolescence to late adolescence. In addition, smoking progression predicted a deceleration of depression symptoms from mid- to late adolescence. A significant indirect effect indicated that greater smoking at baseline predicted a deceleration in the number of smoking peers across time, which predicted a deceleration in depression symptoms from mid-adolescence to late adolescence. Conclusions The current study provides the first evidence of bidirectional self-medication processes in the relationship between adolescent smoking and depression and highlights peer smoking as one explanation for the comorbidity. [source]

Cognitive test scores in male adolescent cigarette smokers compared to non-smokers: a population-based study

ADDICTION, Issue 2 2010
Mark Weiser
ABSTRACT Background Although previous studies indicate that people with lower intelligence quotient (IQ) scores are more likely to become cigarette smokers, IQ scores of siblings discordant for smoking and of adolescents who began smoking between ages 18,21 years have not been studied systematically. Methods Each year a random sample of Israeli military recruits complete a smoking questionnaire. Cognitive functioning is assessed by the military using standardized tests equivalent to IQ. Results Of 20 221 18-year-old males, 28.5% reported smoking at least one cigarette a day (smokers). An unadjusted comparison found that smokers scored 0.41 effect sizes (ES, P < 0.001) lower than non-smokers; adjusted analyses remained significant (adjusted ES = 0.27, P < 0.001). Adolescents smoking one to five, six to 10, 11,20 and 21+ cigarettes/day had cognitive test scores 0.14, 0.22, 0.33 and 0.5 adjusted ES poorer than those of non-smokers (P < 0.001). Adolescents who did not smoke by age 18, and then began to smoke between ages 18,21 had lower cognitive test scores compared to never-smokers (adjusted ES = 0.14, P < 0.001). An analysis of brothers discordant for smoking found that smoking brothers had lower cognitive scores than non-smoking brothers (adjusted ES = 0.27; P = 0.014). Conclusion Controlled analyses from this large population-based cohort of male adolescents indicate that IQ scores are lower in male adolescents who smoke compared to non-smokers and in brothers who smoke compared to their non-smoking brothers. The IQs of adolescents who began smoking between ages 18,21 are lower than those of non-smokers. Adolescents with poorer IQ scores might be targeted for programmes designed to prevent smoking. [source]

Smoking-based selection and influence in gender-segregated friendship networks: a social network analysis of adolescent smoking

ADDICTION, Issue 7 2010
Liesbeth Mercken
ABSTRACT Aims The main goal of this study was to examine differences between adolescent male and female friendship networks regarding smoking-based selection and influence processes using newly developed social network analysis methods that allow the current state of continuously changing friendship networks to act as a dynamic constraint for changes in smoking behaviour, while allowing current smoking behaviour to be simultaneously a dynamic constraint for changes in friendship networks. Design Longitudinal design with four measurements. Setting Nine junior high schools in Finland. Participants A total of 1163 adolescents (mean age = 13.6 years) who participated in the control group of the ESFA (European Smoking prevention Framework Approach) study, including 605 males and 558 females. Measurements Smoking behaviour of adolescents, parents, siblings and friendship ties. Findings Smoking-based selection of friends was found in male as well as female networks. However, support for influence among friends was found only in female networks. Furthermore, females and males were both influenced by parental smoking behaviour. Conclusions In Finnish adolescents, both male and female smokers tend to select other smokers as friends but it appears that only females are influenced to smoke by their peer group. This suggests that prevention campaigns targeting resisting peer pressure may be more effective in adolescent girls than boys. [source]

Hypothalamic,pituitary,adrenal axis and smoking and drinking onset among adolescents: the longitudinal cohort TRacking Adolescents' Individual Lives Survey (TRAILS)

ADDICTION, Issue 11 2009
Anja C. Huizink
ABSTRACT Aims We examined within a prospective longitudinal study whether cortisol levels were associated with smoking or drinking behaviours, taking parental substance use into account. Design The influence of parental substance use on cortisol levels of their adolescent offspring at age 10,12 years was examined. Next, cortisol levels of adolescents who initiated smoking or drinking at the first data collection (age 10,12) were compared to non-users. Finally, we examined whether cortisol levels could predict new onset and frequency of smoking and drinking 2 years later. Setting and participants First and second assessment data of the TRacking Adolescents' Individual Lives Survey (TRAILS) were used, including 1768 Dutch adolescents aged 10,12 years, who were followed-up across a period of 2 years. Measurements Cortisol was measured in saliva samples at awakening, 30 minutes later, and at 8 p.m. at age 10,12. Self-reported substance use at age 10,12 and 13,14, and parental self-reported substance use were used. Findings Only maternal substance use was related to slightly lower adolescent cortisol levels at 8 p.m. Both maternal and paternal substance use were associated with adolescent smoking and drinking at age 13,14, although fathers' use only predicted the amount used and not the chance of ever use. Finally, higher cortisol levels were related moderately to current smoking and future frequency of smoking, but not to alcohol use. Conclusions In a general population, parental heavy substance use does not seem to affect cortisol levels consistently in their offspring. We found some evidence for higher, instead of lower, hypothalamic,pituitary,adrenal axis activity as a predictor of smoking in early adolescence. [source]

Adolescent smoking and depression: evidence for self-medication and peer smoking mediation

Comparing the effects of entertainment media and tobacco marketing on youth smoking in Germany

ADDICTION, Issue 5 2009
James D. Sargent
ABSTRACT Aims To examine differential effects of smoking in films and tobacco advertising on adolescent smoking. We hypothesize that movie smoking will have greater effects on smoking initiation, whereas tobacco advertising receptivity will primarily affect experimentation. Design Longitudinal observational study of adolescents. Setting School-based surveys conducted in Schleswig-Holstein, Germany. Participants A total of 4384 adolescents age 11,15 years at baseline and re-surveyed 1 year later; ever smoking prevalence was 38% at time 1. Measurements The main outcome variable combined two items assessing life-time and current smoking (alpha = 0.87). Baseline never smokers were analyzed separately from those who had tried smoking (ever smokers). Exposure to smoking in 398 internationally distributed US movies was modeled as a continuous variable, with 0 corresponding to the 5th percentile and 1 to the 95th percentile of exposure. Tobacco marketing receptivity consisted of naming a brand for a favorite tobacco advertisement. Ordinal logistic regressions controlled for socio-demographics, other social influences, personality characteristics of the adolescent and parenting style. Findings Whereas 34% of ever smokers were receptive to tobacco marketing at time 1, only 6% of never smokers were. Among time 1 never smokers, exposure to movie smoking was a significantly stronger predictor of higher time 2 smoking level [adjusted proportional odds ratio = 2.76, 95% confidence interval (1.84, 4.15)] than was tobacco marketing receptivity (1.53 [1.07, 2.20]). Among time 1 ever smokers, both tobacco marketing receptivity and exposure to movie smoking predicted higher levels of time 2 smoking [2.17 (1.78, 2.63) and 1.62 (1.18, 2.23), respectively], and the two estimates were not significantly different. Conclusions In this longitudinal study, exposure to movie smoking was a stronger predictor of smoking initiation than tobacco marketing receptivity, which was more common among ever smokers. The results suggest that entertainment media smoking should be emphasized in programs aimed at preventing onset, and both exposures should be emphasized in programs aimed at experimental smokers. [source]

Disruptiveness, peer experiences and adolescent smoking: a long-term longitudinal approach

ADDICTION, Issue 4 2009
Roy Otten
ABSTRACT Aims This study examined links of peer experiences (i.e. social status and affiliation with disruptive peers) throughout childhood with respect to adolescent smoking trajectories, after controlling for childhood disruptiveness. Specifically, we tested four models regarding links of peer experiences and deviant behaviours. Design Prospective community sample. Participants A total of 312 children, aged 6.17 years at baseline. Measurements Growth parameters of own disruptive behaviour, disruptive behaviour of friends and social status measured at ages 7,12 years as predictors of smoking assessed at ages 13,15 years, while controlling for own disruptive behaviour at age 6 years. Findings We found three groups with distinct profiles of smoking. One group displayed hardly any or no smoking at all; a second group showed a trajectory of increased smoking; and a third group that showed high smoking rates initially and increased in smoking intensity over time. Results support the assumption of the selection model that the link between disruptive peers and smoking is spurious and due to shared variances with own early disruptiveness. Moreover, support was found for the popularity,socialization model supporting the assumption that age-related increases in social status are associated with smoking. Conclusions The findings emphasize that early disruptiveness is predictive of later smoking. In addition, it was shown that smoking becomes less deviant over time, in line with group norms. Future prevention programmes should emphasize the need to change these norms. [source]

Modeling mood variation associated with smoking: an application of a heterogeneous mixed-effects model for analysis of ecological momentary assessment (EMA) data

ADDICTION, Issue 2 2009
Donald Hedeker
ABSTRACT Aims Mixed models are used increasingly for analysis of ecological momentary assessment (EMA) data. The variance parameters of the random effects, which indicate the degree of heterogeneity in the population of subjects, are considered usually to be homogeneous across subjects. Modeling these variances can shed light on interesting hypotheses in substance abuse research. Design We describe how these variances can be modeled in terms of covariates to examine the covariate effects on between-subjects variation, focusing on positive and negative mood and the degree to which these moods change as a function of smoking. Setting The data are drawn from an EMA study of adolescent smoking. Participants Participants were 234 adolescents, either in 9th or 10th grades, who provided EMA mood reports from both random prompts and following smoking events. Measurements We focused on two mood outcomes: measures of the subject's negative and positive affect and several covariates: gender, grade, negative mood regulation and smoking level. Findings and conclusions Following smoking, adolescents experienced higher positive affect and lower negative affect than they did at random, non-smoking times. Our analyses also indicated an increased consistency of subjective mood responses as smoking experience increased and a diminishing of mood change. [source]

Disentangling social selection and social influence effects on adolescent smoking: the importance of reciprocity in friendships

ADDICTION, Issue 9 2007
Liesbeth Mercken
ABSTRACT Aims The goal of this study was to examine social selection and social influence within reciprocal and non-reciprocal friendships, and the role of parents and siblings, as factors explaining similarity of smoking behaviour among adolescent friends. A new social selection,social influence model is proposed. Design Longitudinal design with two measurements. Setting Data were gathered among Dutch high school students in the control group of the European Smoking prevention Framework Approach (ESFA) study. Participants The sample consisted of 1886 adolescents with a mean age of 12.7 years. Measurements The main outcome measures were the smoking behaviours of the respondents, best friends, parents and siblings. We tested the social selection,social influence model with structural equation modelling techniques. Findings Social selection and social influence both played an important role in explaining similarity of smoking behaviour among friends. Within non-reciprocal friendships, only social selection explained similarity of smoking behaviour, whereas within reciprocal friendships, social influence and possibly also social selection explained similarity of smoking behaviour. Sibling smoking behaviour was a more important predictor of adolescent smoking behaviour than parental smoking behaviour. Conclusions Social selection and social influence both promote similarity of smoking behaviour, and the impact of each process differs with the degree of reciprocity of friendships. These insights may contribute to further refinement of smoking prevention strategies. [source]

Parental rules and communication: their association with adolescent smoking

ADDICTION, Issue 6 2005
Zeena Harakeh
ABSTRACT Aims To examine the association between parental rules and communication (also referred to as antismoking socialization) and adolescents' smoking. Design and participants A cross-sectional study including 428 Dutch two-parent families with at least two adolescent children (aged 13,17 years). Measurements Parents' and adolescents' reports on an agreement regarding smoking by adolescents, smoking house rules, parental confidence in preventing their child from smoking, frequency and quality of communication about smoking, and parent's reactions to smoking experimentation. Findings Compared with fathers and adolescents, mothers reported being more involved in antismoking socialization. There were robust differences in antismoking socialization efforts between smoking and non-smoking parents. Perceived parental influence and frequency and quality of communication about smoking were associated with adolescents' smoking. The association between antismoking socialization practices and adolescents' smoking was not moderated by birth order, parents' smoking or gender of the adolescent. Conclusions Encouraging parents, whether or not they themselves smoke, to discuss smoking-related issues with their children in a constructive and respectful manner is worth exploring as an intervention strategy to prevent young people taking up smoking. [source]

Presumed Influence on Peer Norms: How Mass Media Indirectly Affect Adolescent Smoking

Salient Environmental and Perceptual Correlates of Current and Established Smoking for 2 Representative Cohorts of Indiana Adolescents

JOURNAL OF SCHOOL HEALTH, Issue 3 2009
Dong-Chul Seo PhD
ABSTRACT PURPOSE:, A secondary analysis of 2000 and 2004 Indiana Youth Tobacco Survey (IYTS) data was conducted to investigate salient environmental and perceptual correlates of adolescents' current and established smoking while controlling for demographic variables such as gender, grade, and race/ethnicity and to compare the pattern of significant correlates between the years. METHODS:, The IYTS was an anonymous school-based survey regarding tobacco use; familiarity with pro- and anti-tobacco media messages; exposure to environmental tobacco smoke (ETS); minors' access to tobacco products; and general knowledge, attitudes, and beliefs about tobacco. In 2000, a representative sample of 1416 public high school students in grades 9-12 and 1516 public middle school students in grades 6-8 (71.44% and 72.53% response rates, respectively) were surveyed. In 2004, 3433 public high school students and 1990 public middle school students (63.04% and 65.44 % response rates, respectively) were surveyed. RESULTS:, Significant predictors of adolescents' current and established smoking habits included exposure to ETS either in homes or in cars, exposure to pro-tobacco messages, perceived benefit of smoking, and perceived peer acceptance of smoking. The influence of exposure to pro-tobacco messages greatly outweighed exposure to any anti-tobacco messages. CONCLUSIONS:, The findings of this study warrant that more efforts and resources be placed on preventing youth from being exposed to ETS, and to control pro-tobacco marketing and improve the tobacco counter-marketing messages. The perceived benefits of smoking found here indicate that smoking for relaxation and weight control may be major influencing factors on adolescent smoking. [source]