Substance use treatment outcomes for youth: Integrating personal and environmental predictors

Anderson, Kristen G.; Ramo, Danielle E.; Schulte, Marya T.; Cummins, Kevin; Brown, Sandra A.

doi:10.1016/j.drugalcdep.2006.09.014

Cited by 50 publications

(40 citation statements)

References 50 publications

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“…Therefore, certain personal characteristics, such as inadequate coping strategies, an inappropriate value system, or lack of self-esteem [3,4,17,38,57], might help to identify those who are at increased risk for initiation of drinking [58]. However, in our study, both girls who were discontent with their lives and boys who were content with their problemsolving skills were more prone to alcohol consumption.…”

Section: Discussioncontrasting

confidence: 52%

Alcohol consumption among adolescents in Kraljevo, Serbia

2011

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AbstractThe aim of this study was to investigate the prevalence and predictors of alcohol consumption among adolescents in one town in Central Serbia. A questionnaire was used to obtain data from 191 Serbian students aged 18 years regarding personal experience with alcohol consumption and cigarette smoking, along with sociodemographics data. Alcohol consumption was reported by 97.4% subjects, with 34.9% having the first experience with alcohol at the age of 14 years or less. Binge drinking (the intake of five or more drinks at one sitting) was reported by 37.8% subjects. Significantly higher consumption of beer (p<0.0001) and spirits (p=0.03) was observed in boys. The most common reason for both initiation and continuation of drinking, regardless of gender, were celebrations (p≥0.12). Smokers were more likely than nonsmokers to consume all alcoholic beverages more frequently (p≤0.04) and in larger quantities (p≤0.004). More frequent or more extensive alcohol consumption, or both, was associated in boys with frequent going out and socializing (p≤0.01), close peer relationship (p=0.04), alcohol abuse within the immediate environment (p≤0.04), better financial status of family (p=0.04), and parental criticism (p≤0.02); in girls, it was associated with parental disapproval (p≤0.02), alcohol abuse within the immediate environment (p≤0.04), and general discontentedness (p=0.049). Regardless of gender, positive alcohol outcome expectancies increased alcohol consumption (p≤0.048), and negative expectancies decreased intake (p≤0.047).

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Section: Discussioncontrasting

confidence: 52%

Alcohol consumption among adolescents in Kraljevo, Serbia

2011

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“…Treatment (index episode) characteristics included age at admission (Anderson et al, 2007; Brecht et al, 2006), type of treatment (1=residential vs. 0=out-patient; Prendergast et al, 2002), legal or criminal justice system pressure for admission (1=yes, 0=no; Perron and Bright, 2008), and number of months in the index episode (Brecht et al, 2000; Hser et al, 2007). A post-treatment measure indicated subject participation in self-help or other SUD treatment following discharge from the index episode and prior to relapse (1=yes, 0=no; Gossop et al, 2007; Grella et al, 2010; Kissin et al, 2003; Witbrodt et al, 2012).…”

Section: Methodsmentioning

confidence: 99%

Time to relapse following treatment for methamphetamine use: A long-term perspective on patterns and predictors

Brecht

Herbeck

2014

Drug and Alcohol Dependence

227

151

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Introduction This paper describes methamphetamine (MA) use patterns, specifically duration of continuing abstinence (“time to relapse”) for periods averaging 5 years post-discharge from treatment for MA use, and the relationship with selected user and treatment characteristics. Methods A sample of 350 treatment admissions from a large county substance use disorder (SUD) treatment system was randomly selected (within gender, race/ethnicity, treatment modality strata). Retrospective self-report data are from natural history interviews (NHI) conducted approximately 3 years after treatment and a follow-up 2-3 years later. Relapse is defined as any use of MA with time as the number of months of continuous MA abstinence after treatment discharge until relapse. This outcome was constructed from a monthly MA use timeline using NHI data. A Cox model was used to examine time to relapse and predictors. Results Sixty-one percent of the sample relapsed to MA use within 1 year after treatment discharge and 25% during years 2-5. Significant protective factors predicting longer time to relapse included having experienced serious MA-related psychiatric/behavioral problems (hazard ratio [HR]=0.75, p=0.027), longer duration of the index treatment episode (HR=0.93, p=0.001), and participating in self-help or other treatment during the post-treatment abstinence period(HR=0.29, p<0.001); risk factors for shorter time to relapse included having a parent with alcohol and/or drug use problems (HR =1.35, p=0.020) and involvement in MA sales (HR=1.48, p=0.002). Conclusions Results contribute a long-term perspective on patterns of MA use following treatment and support a need for early post-treatment and long-term continuing care and relapse- prevention services.

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“…Multiple imputation was used to compensate for patterns of missing data within the predictor variables (Schafer & Graham, 2002). Similar to the strategy outlined in Anderson, Ramo, Schulte, Cummins, and Brown (2007, 2008), each missing value was replaced by a set of m >1 plausible values to generate m complete data sets; each estimatewas combined to provide parameter estimates and standard errors in the regressions (Sinharay, Stern, & Russell, 2001). Thirty-five data sets were generated for multiple imputation using chained equations (van Buuren, Boshuizen, & Knook, 1999) using variables associated with drinking outcomes in this sample (e.g., demographics, personality, cognitive, social variables) but not the drinking outcome variables themselves.…”

Section: Methodsmentioning

confidence: 99%

Middle School Drinking: Who, Where, and When

Anderson

Brown

2010

Journal of Child & Adolescent Substance Abuse

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The goal of this research was to describe the most common drinking situations for young adolescents (N=1171; 46.6% girls), as well as determine predictors of their drinking in the seventh and eighth grades. Middle school students most frequently drank at parties with three to four teens, in their home or at a friend’s home, and reported alcohol-related problems including conflicts with friends or parents, memory loss, nausea, and doing things they would not normally do. Differences emerged in predicting higher levels of drinking on the basis of sex, race, grade, positive alcohol expectancies, impulsivity, and peer drinking. These findings suggest both specific and general factors are implicated in drinking for middle school students. Contextual factors, including drinking alone, in public places, and at or near school, are characteristic of the most problematic alcohol involvement in middle school and may have utility in prevention and early intervention.

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Substance use treatment outcomes for youth: Integrating personal and environmental predictors

Cited by 50 publications

References 50 publications

Alcohol consumption among adolescents in Kraljevo, Serbia

Alcohol consumption among adolescents in Kraljevo, Serbia

Time to relapse following treatment for methamphetamine use: A long-term perspective on patterns and predictors

Middle School Drinking: Who, Where, and When

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