Trends in U.S. women's binge drinking in middle adulthood by socioeconomic status, 2006-2018.

BACKGROUND: Binge drinking causes injury and illness. Prevalence of binge drinking doubled in 2006-2018 for women in middle adulthood (ages 30 s and 40 s); these are the first cohorts for whom attaining higher education and income (both associated with increased alcohol use) are highly prevalent. It is unknown whether recent trends in binge drinking among US women aged 30-49 differ by socio-economic status (SES). METHODS: We examined trends in binge drinking using nationally-representative National Health Interview Surveys (2006-2018) for women age 30-49 (N = 63,426), by education (college) and family income (<100 %, 100-199 %, 200-399 %, and >400 % of poverty line), controlling for age and race. RESULTS: The odds of binge drinking increased among all women approximately 7 % annually from 2006 to 2018. The magnitude of the change increased with education; the predicted probability of binge drinking among women at lowest levels of education increased from 10 % to 13 % from 2006 to 2018 (adjusted OR [AOR] 1.02, 95 % CI 0.99, 1.04), and those with the highest education from 13%-32% (AOR 1.10, 95 % CI 1.08-1.12). Women at the lowest income increased binge drinking from 12 % to 16 % (AOR 1.03, 95 % CI 1.01-1.05) and highest income from 17 % to 36 % (AOR 1.09, 95 % CI 1.07-1.10). Interactions between education (F8554, p < 0.001) and income (F8573, p < 0.001) with time confirmed slope differences. CONCLUSIONS: Nationally, women at all levels of SES increased binge drinking, but increases were most pronounced among high SES women.

Associations Between Alcohol Policies and Adolescent Alcohol Use: A Pooled Analysis of GSHS and ESPAD Data.

AIMS: Alcohol-attributable harm remains high worldwide, and alcohol use among adolescents is particularly concerning. The purpose of this study is to determine the effect of national alcohol control policies on adolescent alcohol use in low-, middle- and high-income countries and improve on previous cross-national attempts to estimate the impact of alcohol policy on this population. METHODS: Data on adolescent (n = 277,110) alcohol consumption from 84 countries were pooled from the Global School-based Health Survey and the European School Survey Project on Alcohol and Other Drugs. Alcohol use measures included lifetime alcohol use, current (past 30 days) alcohol use and current (past 30 days) binge drinking. Information on national alcohol control policies was obtained from the World Health Organization's Global Information System on Alcohol and Health and scored for effectiveness. Main effects were estimated using two-level, random intercept hierarchical linear models, and the models were adjusted for sex and age of the participants, and pattern of drinking score, gross domestic product based on purchasing power parity and study at the country level. RESULTS: Availability (OR [95% CI] = 0.991 [0.983, 0.999]), marketing (OR [95% CI] = 0.994 [0.988, 1.000]) and pricing (OR [95% CI] = 0.955 [0.918, 0.993]) policies were inversely associated with lifetime drinking status. Pricing policies were also inversely associated with current binge drinking status among current drinkers (OR [95% CI] = 0.939 [0.894, 0.986]). There were no associations between the included alcohol policies and current drinking status. CONCLUSIONS: Strong availability, marketing and pricing policies can significantly and practically impact adolescent alcohol consumption.

Social Inequalities in Harmful Drinking and Alcohol-Related Problems Among Swedish Adolescents.

AIMS: The study aims to examine how socio-economic status (SES) among youth is related to binge-drinking and alcohol-related problems using three SES indicators: (i) SES of origin (parental education level), (ii) SES of the school environment (average parental education level at student's school) and (iii) SES of destination (academic orientation). METHODS: Cross-sectional data on upper secondary students (n= 4448) in Sweden. Multilevel logistic and negative binomial regression were used to estimate the relationship between each SES indicator and binge-drinking and alcohol-related problems, respectively. RESULTS: Only SES of destination was significantly associated with binge-drinking, with higher odds for students in vocational programmes (OR= 1.42, 95% CI= 1.13-1.80). For the second outcome, SES of destination (rr=1.25; 95%CI=1.08-1.45) and SES of the school environment (rr=1.19, 95% CI=1.02-1.39) indicated more alcohol-related problems in vocational programmes and in schools with lower-educated parents. After adjustment for drinking patterns, the relationship remained for SES of the school environment, but became non-significant for SES of destination. CONCLUSION: Our results suggest that the SES gradient among youth is stronger for alcohol-related problems than for harmful drinking. By only focusing on SES differences in harmful alcohol use, researchers may underestimate the social inequalities in adverse alcohol-related outcomes among young people. Our findings also support the notion that the environment young people find themselves in matters for social inequalities in alcohol-related harm.

Gentrification and binge drinking in California neighborhoods: It matters how long you've lived there.

BACKGROUND: Neighborhood context plays a role in binge drinking, a behavior with major health and economic costs. Gentrification, the influx of capital and residents of higher socioeconomic status into historically-disinvested neighborhoods, is a growing trend with the potential to place urban communities under social and financial pressure. Hypothesizing that these pressures and other community changes resulting from gentrification could be tied to excessive alcohol consumption, we examined the relationship between gentrification and binge drinking in California neighborhoods. METHODS: California census tracts were categorized as non-gentrifiable, stable (gentrifiable), or gentrifying from 2006 to 2015. Outcomes and covariates were obtained from the California Health Interview Survey using combined 2013-2015 data (n = 60,196). Survey-weighted logistic regression tested for associations between gentrification and any binge drinking in the prior 12 months. Additional models tested interactions between gentrification and other variables of interest, including housing tenure, federal poverty level, race/ethnicity, sex, and duration of neighborhood residence. RESULTS: A third of respondents reported past-year binge drinking. Controlling for demographic covariates, gentrification was not associated with binge drinking in the population overall (AOR = 1.13, 95% CI = 0.95-1.34), but was associated with binge drinking among those living in the neighborhood <5 years (AOR = 1.49, 95% CI 1.15-1.93). No association was seen among those living in their neighborhood ≥5 years. CONCLUSIONS: For those newer to their neighborhood, gentrification is associated with binge drinking. Further understanding the relationship between gentrification and high-risk alcohol use is important for policy and public health interventions mitigating the impact of this process.

Does a Crossover Age Effect Exist for African American and Hispanic Binge Drinkers? Findings from the 2010 to 2013 National Study on Drug Use and Health.

BACKGROUND: Among general population studies, lower rates of binge drinking tend to be found among African Americans and Hispanics compared to Whites. However, among older adult populations, minority groups have been shown to be at higher risk for binge drinking, suggesting the presence of a crossover effect from low to high risk as a function of age. To date, limited research has examined the crossover effect among African American and Hispanic populations compared to non-Hispanic Whites across large developmental time frames or explored variation in risk based on income or gender. This study aimed to fill these gaps in the literature. METHODS: Data were compiled from the 2010 to 2013 National Survey on Drug Use and Health surveys, which provide annual, nationally representative data on substance use behaviors among individuals aged 12 and older. Hispanic, non-Hispanic African American, and non-Hispanic White respondents were included (N = 205,198) in the analyses. RESULTS: A crossover effect was found for African American males and females among the lowest income level (i.e., incomes less than $20,000). Specifically, after controlling for education and marital status, compared to Whites, risk for binge drinking was lower for African American males at ages 18 to 24 and for females at ages 18 to 34, but higher for both African American males and females at ages 50 to 64. No crossover effect was found for Hispanic respondents. CONCLUSIONS: Although African Americans are generally at lower risk for binge drinking, risk appears to increase disproportionately with age among those who are impoverished. Explanatory factors, such as social determinants of health prevalent within low-income African American communities (e.g., lower education, violence exposure, housing insecurity) and potential areas for intervention programming are discussed.

2010 National and State Costs of Excessive Alcohol Consumption.

INTRODUCTION: Excessive alcohol use cost the U.S. $223.5 billion in 2006. Given economic shifts in the U.S. since 2006, more-current estimates are needed to help inform the planning of prevention strategies. METHODS: From March 2012 to March 2014, the 26 cost components used to assess the cost of excessive drinking in 2006 were projected to 2010 based on incidence (e.g., change in number of alcohol-attributable deaths) and price (e.g., inflation rate in cost of medical care). The total cost, cost to government, and costs for binge drinking, underage drinking, and drinking while pregnant were estimated for the U.S. for 2010 and allocated to states. RESULTS: Excessive drinking cost the U.S. $249.0 billion in 2010, or about $2.05 per drink. Government paid for $100.7 billion (40.4%) of these costs. Binge drinking accounted for $191.1 billion (76.7%) of costs; underage drinking $24.3 billion (9.7%) of costs; and drinking while pregnant $5.5 billion (2.2%) of costs. The median cost per state was $3.5 billion. Binge drinking was responsible for >70% of these costs in all states, and >40% of the binge drinking-related costs were paid by government. CONCLUSIONS: Excessive drinking cost the nation almost $250 billion in 2010. Two of every $5 of the total cost was paid by government, and three quarters of the costs were due to binge drinking. Several evidence-based strategies can help reduce excessive drinking and related costs, including increasing alcohol excise taxes, limiting alcohol outlet density, and commercial host liability.

The effects of merit-based financial aid on drinking in college.

We study the effect of state-level merit aid programs (such as Georgia's HOPE scholarship) on alcohol consumption among college students. Such programs have the potential to affect drinking through a combination of channels--such as raising students' disposable income and increasing the incentive to maintain a high GPA--that could theoretically raise or lower alcohol use. We find that the presence of a merit-aid program in one's state generally leads to an overall increase in (heavy) drinking. This effect is concentrated among men, students with lower parental education, older students, and students with high college GPA's. Our findings are robust to several alternative empirical specifications including event-study analyses by year of program adoption. Furthermore, no difference in high-school drinking is observed for students attending college in states with merit-aid programs.

A mobile phone intervention to reduce binge drinking among disadvantaged men: study protocol for a randomised controlled cost-effectiveness trial.

BACKGROUND: Socially disadvantaged men are at a substantially higher risk of developing alcohol-related problems. The frequency of heavy drinking in a single session is high among disadvantaged men. Brief alcohol interventions were developed for, and are usually delivered in, healthcare settings. The group who binge drink most frequently, young to middle-aged disadvantaged men, have less contact with health services and there is a need for an alternative method of intervention delivery. Text messaging has been used successfully to modify other adverse health behaviours. This study will test whether text messages can reduce the frequency of binge drinking by disadvantaged men. METHODS/DESIGN: Disadvantaged men aged 25 to 44 years who drank >8 units of alcohol at least twice in the preceding month will be recruited from the community. Two recruitment strategies will be used: contacting men listed in primary care registers, and a community outreach method (time-space sampling). The intended sample of 798 men will be randomised to intervention or control, stratifying by recruitment method. The intervention group will receive a series of text messages designed to reduce the frequency of binge drinking through the formation of specific action plans. The control group will receive behaviourally neutral text messages intended to promote retention in the study. The primary outcome measure is the proportion of men consuming >8 units on at least three occasions in the previous 30 days. Secondary outcomes include total alcohol consumption and the frequency of consuming more than 16 units of alcohol in one session in the previous month. Process measures, developed during a previous feasibility study, will monitor engagement with the key behaviour change components of the intervention. The study will incorporate an economic evaluation comparing the costs of recruitment and intervention delivery with the benefits of reduced alcohol-related harm. DISCUSSION: This study will assess the effectiveness of a brief intervention, delivered by text messages, aimed at reducing the frequency of binge drinking in disadvantaged men. The process measures will identify components of the intervention which contribute to effectiveness. The study will also determine whether any benefit of the intervention is justified by the costs of intervening. TRIAL REGISTRATION: ISRCTN07695192. Date assigned: 14 August 2013.

Prevalence and correlates of binge drinking among young adults using alcohol: a cross-sectional survey.

BACKGROUND: Although binge drinking prevalence and correlates among young people have been extensively studied in the USA and Northern Europe, less is known for Southern Europe countries with relatively healthier drinking cultures. OBJECTIVE: We aimed at analyzing prevalence and correlates of binge drinking in a representative sample of young adults in Italy. METHODS: We conducted a cross-sectional survey among alcohol-consuming young adults. We carried out univariate and multivariate analyses to assess associations between recent binge drinking and candidate variables. RESULTS: We selected 654 subjects, with 590 (mean age: 20.65 ± 1.90) meeting inclusion criteria. Prevalence for recent binge drinking was 38.0%, significantly higher for females than males. Multivariate analysis showed that high alcohol expectancies, large amount of money available during the weekend, interest for parties and discos, female gender, cannabis use, influence by peers, and electronic cigarettes smoking all were significantly associated with recent binge drinking, whereas living with parents appeared a significant protective factor. CONCLUSIONS: More than a third of young adults using alcohol are binge drinkers, and, in contrast with findings from Anglo-Saxon countries, females show higher risk as compared with males. These data suggest the increasing importance of primary and secondary prevention programmes for binge drinking.

Elevated alcohol demand is associated with driving after drinking among college student binge drinkers.

BACKGROUND: Alcohol-impaired driving among college students represents a significant public health concern, yet little is known about specific theoretical and individual difference risk factors for driving after drinking among heavy drinking college students. This study evaluated the hypothesis that heavy drinkers with elevated alcohol demand would be more likely to report drinking and driving. METHOD: Participants were 207 college students who reported at least 1 heavy drinking episode (4/5 or more drinks in 1 occasion for a woman/man) in the past month. Participants completed an alcohol purchase task that assessed hypothetical alcohol consumption across 17 drink prices and an item from the Young Adult Alcohol Consequences Questionnaire that assessed driving after drinking. RESULTS: In binary logistic regression models that controlled for drinking level, gender, ethnicity, age, and sensation seeking, participants who reported higher demand were more likely to report driving after drinking. CONCLUSIONS: These results provide support for behavioral economics models of substance abuse that view elevated/inelastic demand as a key etiological feature of substance misuse.

The role of off-licence outlets in binge drinking: a survey of drinking practices last Saturday night among young adults in Australia.

INTRODUCTION AND AIMS: To examine where young adults purchase their alcohol on Saturday nights and how this relates to binge drinking. DESIGN AND METHODS: This study used an online survey of a non-probability-based quota sample of 2013 Australians aged 18-30 years who had consumed alcohol in the past year. Participants who purchased alcohol from off-licence outlets the Saturday night before answering the survey were compared with participants who purchased only from on-licence outlets with regard to how much they drank (binge drinking was defined as five or more drinks), how much they spent on alcohol, where they drank, their risk of an alcohol use disorder and other demographic factors. RESULTS: Of participants who drank the previous Saturday night (n=1106), 46% bought alcohol only from off-licence outlets (e.g. bottle shops), 19% bought from both off-licence and on-licence outlets (e.g. clubs, bars), and 23% bought only from on-licence outlets. Participants who bought alcohol from off-licence outlets were equally likely to binge-drink as participants who bought only from on-licence outlets (B=-0.02, P=0.912), but they drank more cheaply and usually drank at home. Participants who bought alcohol from both off-licence and on-licence outlets were more likely to binge-drink (B=1.39, P<0.001), drank both at home and in public places, were at higher risk of an alcohol use disorder and were more likely to have used stimulants the previous Saturday night. DISCUSSION AND CONCLUSIONS: Off-licence outlets were a major source of alcohol in this sample of young Australian adults, many of whom binge-drank in private homes.

Gender differences in alcohol demand: a systematic review of the role of prices and taxes.

Gender differences in drinking patterns are potentially important for public policies, especially policies that rely extensively on higher alcohol taxes and prices. This paper presents a systematic review of alcohol prices and gender differences in drinking and heavy drinking by adults and young adults. Starting with a database of 578 studies of alcohol demand and other outcomes, 15 studies are reviewed of adult drinking including discussion of samples, measurement issues, econometric models, special variables, and key empirical results. A similar discussion is presented for eight studies of drinking by young adults, ages 18-26 years. Four conclusions are obtained from the review. First, adult men have less elastic demands compared with women. Second, there is little or no price response by heavy-drinking adults, regardless of gender. Third, although the sample is small, price might be important for drinking participation by young adults. Fourth, the results strongly suggest that heavy drinking by young adults, regardless of gender, is not easily dissuaded by higher prices. Policy implications, primary study limitations, and suggestions for future research are discussed.

State costs of excessive alcohol consumption, 2006.

BACKGROUND: Excessive alcohol consumption is responsible for an average of 80,000 deaths in the U.S. each year and cost $223.5 billion ($1.90/drink) in 2006. Comparable state estimates of this cost are needed to help inform prevention strategies. PURPOSE: The goal of the study was to estimate the economic cost of excessive drinking by state for 2006. METHODS: From December 2011 to November 2012, an expert panel developed methods to allocate component costs from the 2006 national estimate to states for (1) total; (2) government; (3) binge drinking; and (4) underage drinking costs. Differences in average state wages were used to adjust productivity losses. RESULTS: In 2006, the median state cost of excessive drinking was $2.9 billion (range: $31.9 billion [California] to $419.6 million [North Dakota]); the median cost per drink, $1.91 (range: $2.74 [Utah] to $0.88 [New Hampshire]); and the median per capita cost, $703 (range: $1662 [District of Columbia] to $578 [Utah]). A median of 42% of state costs were paid by government (range: 45.0% [Utah] to 37.0% [Mississippi]). Binge drinking was responsible for a median of 76.6% of state costs (range: 83.1% [Louisiana] to 71.6% [Massachusetts]); underage drinking, a median of 11.2% of state costs (range: 20.0% [Wyoming] to 5.5% [District of Columbia]). CONCLUSIONS: Excessive drinking cost states a median of $2.9 billion in 2006. Most of the costs were due to binge drinking and about $2 of every $5 were paid by government. The Guide to Community Preventive Services has recommended several evidence-based strategies-including increasing alcohol excise taxes, limiting alcohol outlet density, and commercial host liability-that can help reduce excessive alcohol use and the associated economic costs.

Increased cortical activity in binge drinkers during working memory task: a preliminary assessment through a functional magnetic resonance imaging study.

BACKGROUND: Cerebral dysfunction is a common feature of both chronic alcohol abusers and binge drinkers. Here, we aimed to study whether, at equated behavioral performance levels, binge drinkers exhibited increased neural activity while performing simple cognitive tasks. METHODS: Thirty-two participants (16 binge drinkers and 16 matched controls) were scanned using functional magnetic resonance imaging (fMRI) while performing an n-back working memory task. In the control zero-back (N0) condition, subjects were required to press a button with the right hand when the number "2" was displayed. In the two-back (N2) condition, subjects had to press a button when the displayed number was identical to the number shown two trials before. RESULTS: fMRI analyses revealed higher bilateral activity in the pre-supplementary motor area in binge drinkers than matched controls, even though behavioral performances were similar. Moreover, binge drinkers showed specific positive correlations between the number of alcohol doses consumed per occasion and higher activity in the dorsomedial prefrontal cortex, as well as between the number of drinking occasions per week and higher activity in cerebellum, thalamus and insula while performing the N2 memory task. CONCLUSIONS: Binge alcohol consumption leads to possible compensatory cerebral changes in binge drinkers that facilitate normal behavioral performance. These changes in cerebral responses may be considered as vulnerability factors for developing adult substance use disorders.

Tax policy, adult binge drinking, and youth alcohol consumption in the United States.

BACKGROUND: Prior research attributed youth alcohol consumption to the attitudes and drinking patterns among adults. Yet at a population level, few have examined the relationship between state-level adult binge drinking prevalence and youth drinking behaviors, or whether tax policy plays a role in this relationship. METHODS: We analyzed 6 biennial surveys (1999 to 2009) of individual-level youth alcohol use and related behaviors from state-based Youth Risk Behavior Surveys and corresponding years of state-level adult binge drinking prevalence from the Behavioral Risk Factor Surveillance System. We employed logistic regression with generalized estimating equations method to assess the extent to which state adult binge drinking predicted individual-level youth drinking outcomes and examined the role of alcohol taxes in that relationship. RESULTS: Population-aggregate analyses based on 194 state-year strata showed a positive correlation between state adult binge drinking and youth binge drinking (Pearson r = 0.40, p < 0.01). For individual-level youth drinking outcomes, a 5 percentage point increase in binge drinking prevalence among adults was associated with a 12% relative increase in the odds of alcohol use (adjusted OR = 1.12, 95% CI: 1.08, 1.16). Taxes were strongly inversely related with adult and youth drinking measures, and the effect of tax on youth drinking was attenuated after controlling for adult binge drinking. CONCLUSIONS: Both tax and adult binge drinking are strong predictors of youth drinking. Tax may affect youth drinking through its effect on adult alcohol consumption. Implementing effective alcohol policies to reduce excessive drinking in the general population is an important strategy to reduce youth drinking.

Binge drinking among Brazilian students: a gradient of association with socioeconomic status in five geo-economic regions.

BACKGROUND: Socioeconomic status (SES) may be directly associated with binge drinking (BD) and country inequality. The aims of this study were to describe the characteristics of BD among high school students in Brazil and the association of BD with students' socioeconomic status in the five different Brazilian macro-regions. METHODS: A national cross sectional survey was carried out using a multistage probabilistic sample of 17,297 high school students aged 14-18 years drawn from 789 public and private schools in each of the 27 Brazilian state capitals. Self-report data about BD behaviors and SES were analyzed via weighted logistic regressions and a funnel plot. RESULTS: Almost 32% of the students engaged in BD in the past-year. Being in the highest SES stratum doubled the risk of BD among students in all five Brazilian macro-regions. There was a gradient in the association between past-year BD and socioeconomic status: as SES increased; the chance of having recently engaged in BD also increased. In Brazilian capitals as a whole, being a boy versus being a girl (adjusted odds ratio - aOR=1.40 [95%CI 1.26; 1.58]), being older (aOR=1.47 [95%CI 1.40; 1.55]) and attending private versus public schools (aOR=1.39 [95%CI 1.18; 1.62]) were associated with greater risk for BD. CONCLUSIONS: Contrary to what is observed in developed countries, students living in Brazilian capitals may be at an increased risk of BD when they belong to the highest socioeconomic status. There might be similar associations between high SES and BD among adolescents growing up in other emerging economies.

The relationships among socioeconomic status, fruit and vegetable intake, and alcohol consumption.

PURPOSE: We examined the relationships among fruit and vegetable intake, alcohol consumption, and socioeconomic status (SES). We hypothesized that fruit and vegetable consumption would be inversely associated with alcohol consumption and the relationship would differ by SES. DESIGN: A cross-sectional analysis. SETTING: Large, urban Midwestern county. SUBJECTS: A unique, racially/ethnically diverse sample of 9959 adults (response rate: 66.3%). MEASURES: Fruit and vegetable intake was measured using two items that assessed servings per day. Alcohol consumption was measured in terms of volume of alcohol consumed and binge drinking. Individual measures of SES included education and household income. ANALYSIS: Weighted multivariate linear and Poisson regression were used to estimate effects. RESULTS: The relationship between fruit and vegetable intake and alcohol consumption varied by SES. Those with lower household incomes who consumed five or more servings of fruits and vegetables per day were less likely to engage in binge drinking relative to those consuming zero to one servings of fruits and vegetables per day (risk ratio  =  .66; 95% confidence interval: .46, .95). No association was observed for higher-household-income individuals. CONCLUSION: We observed an inverse relationship between fruit and vegetable consumption and alcohol intake in those with lower household incomes but not in those with higher household incomes. Results suggest that the relationship between diet and alcohol consumption may be more relevant in populations with more restricted economic choices. Results are, however, based on cross-sectional data.

Sloshed and sentenced: A prevalence study of alcohol use disorders among offenders in the North East of England.

The annual cost of alcohol-related harm in the UK is estimated to be between £17.7 and £25.1 billion with healthcare costs alone reaching £2.7 billion and the costs of alcohol-fuelled crime and disorder accounting for £7.3 billion each year. The aim of the study was to examine the prevalence of alcohol use disorders (AUD) in prison and probation settings in the North East of England, and to compare the ability of the Alcohol Use Disorders Identification Test (AUDIT) and Offender Assessment System (OASys) at identifying alcohol-related need in probation clients. A quantitative prevalence study was carried out using anonymous questionnaires with participants from four prisons and three probation offices in the North East who voluntarily completed the AUDIT questionnaire during a 1-month period in 2006. Response outcomes on AUDIT were compared with OASys scores which identify alcohol-related need in probation. At the time of the study OASys scores were not available for offenders in prison. Seven hundred and fifteen questionnaires were completed. Sixty-three per cent of men and 57% of women were identified as having an AUD with over a third of all individuals scoring within the possibly dependant range (20+ on AUDIT). Around 40% of probation cases who were classified as either hazardous, harmful or possibly dependant drinkers on AUDIT were not identified by OASys. The results indicate that the prevalence of AUD in offenders is much higher than in the general population. In addition, current methods of identifying offenders with alcohol-related need in probation are flawed and as many such people go undetected. Alcohol assessment procedures need to be improved in criminal justice setting order to correctly identify people with AUD.

Prevention of alcohol and drug abuse: what works?

There is no single "best" prevention program, and no one program or approach will stop all drug use. There are many effective research-based programs; the best approach for any particular population requires selecting the best intervention for the target population on the basis of a knowledge of the risk and protective factors in that population. Unfortunately, the most highly marketed school or family programs are generally not those programs with the best outcomes. The best approach to prevention is to begin early to reduce emerging behavioral and emotional problems in youth. Longer-lasting effects should accrue from changing school, community, and family environmental conditions that promote and maintain drug problems in youth. More and more prevention specialists are considering moving from a focus on the individual to changes in total systems or the environmental contexts that promote or hinder drug use. On the basis of economic considerations, the "whole family" systems-change approach of family skills training classes is becoming popular even in the managed care environment. The greatest challenge facing the drug abuse prevention field is to get information out to practitioners and communities about the best prevention programs, approaches, and principles of effectiveness. Researchers and funding agencies must learn how to effectively market the most successful programs to bridge the gap between research and practice. We must become as effective at marketing drug prevention programs as drug dealers are at promoting and selling drugs. Communities need health care professionals who are knowledgeable about substance abuse prevention and who can advocate the implementation and ongoing improvement of prevention programs with known effectiveness.