Keilah A. Worth

The Matching of Motivations to Affordances in the Volunteer Environment An Index for Assessing the Impact of Multiple Matches on Volunteer Outcomes

The functional approach to volunteerism holds that outcomes from volunteering (e.g., satisfaction and intentions to remain a volunteer) are a function of the match between a volunteers motivations and affordances to meet those motivations found in the environment (i.e., the volunteer activities, position, or organization). In this article, the authors introduce an index for calculating a volunteers total number of matches across six motivational categories identified by past research. They demonstrate that this index predicts outcomes better than motives or affordances alone and as well as any univariate match index (i.e., in a particular motivational category). Following logic about strong and weak situational contexts, the authors demonstrate that the magnitude of the total matches effect may be greater when organizational contexts are less structured and smaller when contexts are more structured. They discuss theoretical and practical benefits of this total match index.

Population-Based Assessment of Exposure to Risk Behaviors in Motion Pictures

The aim of most population-based studies of media is to relate a specific exposure to an outcome of interest. A research program has been developed that evaluates exposure to different components of movies in an attempt of assess the association of such exposure with the adoption of substance use during adolescence. To assess exposure to movie substance use, one must measure both viewing time and content. In developing the exposure measure, the study team was interested in circumventing a common problem in exposure measurement, where measures often conflate exposure to media with attention to media. Our aim in this paper is to present a validated measure of exposure to entertainment media, the Beach method, which combines recognition of a movie title with content analysis of the movie for substance use, to generate population based measures of exposure to substance use in this form of entertainment.

Movie exposure to smoking cues and adolescent smoking onset: a test for mediation through peer affiliations.

OBJECTIVE To determine whether the effect of movie exposure to smoking on adolescent smoking onset is mediated through increased affiliation with peers who smoke. DESIGN A longitudinal study was conducted with a sample of 5th- 8th graders; persons who were nonsmokers at the baseline assessment (N = 2,614) were followed up 18 months later. Movie exposure to smoking cues was assessed at baseline with a rigorous coding procedure. MAIN OUTCOME MEASURE A school-based survey and follow-up telephone interview determined whether the participant smoked cigarettes. RESULTS Longitudinal structural modeling analysis indicated movie-smoking exposure was related to smoking onset both through an indirect effect involving increased affiliation with peer smokers and through a direct effect. The analysis controlled for demographics, parenting style, rebelliousness and sensation seeking, school performance, parental smoking, and sibling smoking; several of these variables also had mediated or direct effects to smoking onset. CONCLUSION The effect of movie exposure on adolescent smoking onset is attributable in part to a social mechanism. Implications of media effects for prevention are discussed.

Alcohol-Branded Merchandise and Its Association With Drinking Attitudes and Outcomes in US Adolescents

OBJECTIVE To describe ownership of alcohol-branded merchandise (ABM) and its association with attitudinal susceptibility, initiation of alcohol use, and binge drinking. DESIGN Three-wave longitudinal study. SETTING Confidential telephone survey. PARTICIPANTS Representative US sample of 6522 adolescents aged 10 to 14 years at baseline survey (4309 of whom were never-drinkers at 8 months); subjects were resurveyed at 16 and/or 24 months. Main Exposures Ownership of ABM (first assessed at the 8-month survey) and attitudinal susceptibility to alcohol use. OUTCOME MEASURES Initiation of alcohol use that parents did not know about and binge drinking (> or =5 drinks in a row). RESULTS Prevalence of ABM ownership ranged from 11% of adolescents (at 8 months) to 20% (at 24 months), which extrapolates to 2.1 to 3.1 million US adolescents, respectively. Clothing and headwear comprised 88% of ABM. Beer brands accounted for 75% of items; 45% of items bore the Budweiser label. Merchandise was obtained primarily from friends and/or family (71%) but was also purchased by the adolescents themselves (24%) at stores. Among never-drinkers, ABM ownership and susceptibility were reciprocally related, each significantly predicting the other during an 8-month period. In turn, we found that ABM ownership and susceptibility predicted both initiation of alcohol use and binge drinking, while controlling for a broad range of covariates. CONCLUSIONS Alcohol-branded merchandise is widely distributed among US adolescents, who obtain the items one-quarter of the time through direct purchase at retail outlets. Among never-drinkers, ABM ownership is independently associated with susceptibility to as well as with initiation of drinking and binge drinking.

Comparing media and family predictors of alcohol use: a cohort study of US adolescents

Objective To compare media/marketing exposures and family factors in predicting adolescent alcohol use. Design Cohort study. Setting Confidential telephone survey of adolescents in their homes. Participants Representative sample of 6522 US adolescents, aged 10–14 years at baseline and surveyed four times over 2 years. Primary outcome measure Time to alcohol onset and progression to binge drinking were assessed with two survival models. Predictors were movie alcohol exposure (MAE), ownership of alcohol-branded merchandise and characteristics of the family (parental alcohol use, home availability of alcohol and parenting). Covariates included sociodemographics, peer drinking and personality factors. Results Over the study period, the prevalence of adolescent ever use and binge drinking increased from 11% to 25% and from 4% to 13%, respectively. At baseline, the median estimated MAE from a population of 532 movies was 4.5 h and 11% owned alcohol-branded merchandise at time 2. Parental alcohol use (greater than or equal to weekly) was reported by 23% and 29% of adolescents could obtain alcohol from home. Peer drinking, MAE, alcohol-branded merchandise, age and rebelliousness were associated with both alcohol onset and progression to binge drinking. The adjusted hazard ratios for alcohol onset and binge drinking transition for high versus low MAE exposure were 2.13 (95% CI 1.76 to 2.57) and 1.63 (1.20 to 2.21), respectively, and MAE accounted for 28% and 20% of these transitions, respectively. Characteristics of the family were associated with alcohol onset but not with progression. Conclusion The results suggest that family focused interventions would have a larger impact on alcohol onset while limiting media and marketing exposure could help prevent both onset and progression.

Movie Character Smoking and Adolescent Smoking: Who Matters More, Good Guys or Bad Guys?

OBJECTIVE: To assess the association between smoking onset and exposure to movie smoking according to character type. METHODS: A longitudinal, random-digit-dial telephone survey of 6522 US adolescents was performed with movie exposure assessed at 4 time points over 24 months. Adolescents were asked whether they had seen a random subsample of recently released movies, for which we identified smoking by major characters and type of portrayal (divided into negative, positive, and mixed/neutral categories). Multivariate hazard regression analysis was used to assess the independent effects of these exposures on the odds of trying smoking. RESULTS: By the 24-month follow-up survey, 15.9% of baseline never-smokers had tried smoking. Within the sample of movies, 3848 major characters were identified, of whom 69% were male. Smokers represented 22.8% of 518 negative characters, 13.7% of 2486 positive characters, and 21.1% of 844 mixed/neutral characters. Analysis of the crude relationship showed that episodes of negative character smoking exposure had the strongest influence on smoking initiation. However, because most characters were portrayed as positive, exposure to this category was greatest. When the full population effect of each exposure was modeled, each type of character smoking independently affected smoking onset. There was an interaction between negative character smoking and sensation-seeking with stronger response for adolescents lower in sensation-seeking. CONCLUSIONS: Character smoking predicts adolescent smoking initiation regardless of character type, which demonstrates the importance of limiting exposure to all movie smoking. Negative character portrayals of smoking have stronger impact on low risk-taking adolescents, undercutting the argument that greater exposure is a marker for adolescent risk-taking behavior.

Exposure of US Adolescents to Extremely Violent Movies

OBJECTIVE. Despite concerns about exposure to violent media, there are few data on youth exposure to violent movies. In this study we examined such exposure among young US adolescents. METHODS. We used a random-digit-dial survey of 6522 US adolescents aged 10 to 14 years fielded in 2003. Using previously validated methods, we determined the percentage and number of US adolescents who had seen each of 534 recently released movies. We report results for the 40 that were rated R for violence by the Motion Picture Association of America, UK 18 by the British Board of Film Classification and coded for extreme violence by trained content coders. RESULTS. The 40 violent movies were seen by a median of 12.5% of an estimated 22 million US adolescents aged 10 to 14 years. The most popular violent movie, Scary Movie, was seen by >10 million (48.1%) children, 1 million of whom were 10 years of age. Watching extremely violent movies was associated with being male, older, nonwhite, having less-educated parents, and doing poorly in school. Black male adolescents were at particularly high risk for seeing these movies; for example Blade, Training Day, and Scary Movie were seen, respectively, by 37.4%, 27.3%, and 48.1% of the sample overall versus 82.0%, 81.0%, and 80.8% of black male adolescents. Violent movie exposure was also associated with measures of media parenting, with high-exposure adolescents being significantly more likely to have a television in their bedroom and to report that their parents allowed them to watch R-rated movies. CONCLUSIONS. This study documents widespread exposure of young US adolescents to movies with extreme graphic violence from movies rated R for violence and raises important questions about the effectiveness of the current movie-rating system.

Prevalence of smoking among major movie characters: 1996–2004

Background: Reports of a relationship between watching smoking in movies and smoking among adolescents have prompted greater scrutiny of smoking in movies by the public health community. Objective: To assess the smoking prevalence among adult and adolescent movie characters, examine trends in smoking in movies over time, and compare the data with actual smoking prevalence among US adults and adolescents. Design and methods: Smoking status of all major human adolescent and adult movie characters in the top 100 box office hits from 1996 to 2004 (900 movies) was assessed, and smoking prevalence was examined by Motion Picture Association of America (MPAA) rating and year of release. Results: The movies contained 5944 major characters, of whom 4911 were adults and 466 were adolescents. Among adult movie characters, the overall smoking prevalence was 20.6%; smoking was more common in men than in women (22.6% v 16.1%, respectively, p<0.001), and was related to MPAA rating category (26.9% for movies rated R (restricted, people aged <17 years require accompanying adult), 17.9% for PG-13 (parents strongly cautioned that some material might be inappropriate for children) and 10.4% for G/PG (general audiences, all ages; parental guidance suggested for children), p<0.001). In 1996, the smoking prevalence for major adult movie characters (25.7%) was similar to that in the actual US population (24.7%). Smoking prevalence among adult movie characters declined to 18.4% in 2004 (p for trend <0.001), slightly below that for the US population for that year (20.9%). Examination of trends by MPAA rating showed that the downward trend in smoking among adult movie characters was statistically significant in movies rated G/PG and R, but not in those rated PG-13. A downward trend over time was also found for smoking among adolescent movie characters. There was no smoking among adult characters in 43.3% of the movies; however, in 39% of the movies, smoking prevalence among adult characters was higher than that in the US adult population in the year of release. Conclusions: Smoking prevalence among major adolescent and adult movie characters is declining, with the downward trend among adult characters weakest for PG-13-rated movies. Although many movies depict no adult smoking, more than one third depict smoking as more prevalent than that among US adults at the time of release.

An examination of the association between seeing smoking in films and tobacco use in young adults in the west of Scotland: cross-sectional study

The objective is to examine the association between the amount of smoking seen in films and current smoking in young adults living in the west of Scotland in the UK. Cross-sectional analyses (using multivariable logistic regression) of data collected at age 19 (2002–04) from a longitudinal cohort originally surveyed at age 11 (1994–95) were conducted. The main outcome measure is smoking at age 19. No association was found between the number of occurrences of smoking estimated to have been seen in films (film smoking exposure) and current (or ever) smoking in young adults. This lack of association was unaffected by adjustment for predictors of smoking, including education, risk-taking orientation and smoking among peers. There was no association between film smoking exposure and smoking behaviour for any covariate-defined subgroup. Associations have been found between film smoking exposure and smoking initiation in younger adolescents in the United States. In this study, conducted in Scotland, no similar association was seen, suggesting that there may be age or cultural limitations on the effects of film smoking exposure on smoking. The lack of association could be due to methodological issues or greater sophistication of older adolescents and young adults in interpreting media images or the greater ubiquity of real-life smoking instances in Scotland. If the latter, film smoking exposure could become a more important risk factor for smoking uptake and maintenants in older adolescents following the recent ban on smoking in public places in Scotland.