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Decisional Balance: Alcohol Decisional Balance Intervention for Heavy Drinking Undergraduates.

ABSTRACT: This study evaluated a decisional balance intervention among heavy drinking undergraduates and compared a nonweighted decisional balance proportion (DBP; Collins, Carey, & Otto, 2009) to a participant-weighted DBP with weights based on relative importance of items. We expected: (1) the intervention to decrease drinking compared to control; (2) the weighted intervention to be more effective compared to the nonweighted or control in reducing drinking; and (3) intervention efficacy to be moderated by initial DBP.Participants (N = 162, Mean age = 24.37, SD = 6.81, 27% male) were randomly assigned to an alcohol intervention wherein they were either asked to assign weights of importance to pros and cons (weighted intervention), or not (nonweighted intervention), or to control. Participants completed web-based questionnaires at baseline and again during a one month follow-up assessment.Consistent with expectations, the nonweighted intervention was associated with reduced follow-up weekly drinking, and the weighted intervention was associated with reductions in drinking frequency. Results further indicated that initial decisional balance did not moderate intervention efficacy.Findings suggest that the decisional balance procedure can reduce drinking but there was not compelling evidence for the addition of weights. This study lays the groundwork for enhancing future interventions by increasing empirical knowledge of the role motivation plays in heavy alcohol use.

SUBMITTER: Foster DW

PROVIDER: S-EPMC4666722 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature

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Decisional Balance: Alcohol Decisional Balance Intervention for Heavy Drinking Undergraduates.

Foster Dawn W DW Neighbors Clayton C Pai Ankita A

Substance use & misuse 20151110 13

<h4>Background</h4>This study evaluated a decisional balance intervention among heavy drinking undergraduates and compared a nonweighted decisional balance proportion (DBP; Collins, Carey, & Otto, 2009) to a participant-weighted DBP with weights based on relative importance of items. We expected: (1) the intervention to decrease drinking compared to control; (2) the weighted intervention to be more effective compared to the nonweighted or control in reducing drinking; and (3) intervention effica ...[more]

PMID: 26555004

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Project description:Rates of heavy alcohol use in soup kitchen attendees range from 30% to 38%, but these data are based entirely on self-reported drinking. Little is known about the intensity or frequency of drinking in this population. We assessed alcohol use transdermally every 30 min over a 3-week period among heavy drinkers who attended local soup kitchens. In addition to transdermal alcohol monitoring, participants were randomly assigned to daily breath alcohol monitoring with or without reinforcement for alcohol-negative breath samples (BrAC). Analyses assessed feasibility of transdermal monitoring and examined alcohol use based on BrAC, transdermal, and self-report data, as well as effect sizes for these metrics based on group assignment. Nineteen participants completed the 21-day monitoring period in full; three persons removed the anklet 3-16 days early due to hospitalization, impending hospitalization, or incarceration. Participants reported minimal impacts of the monitors, and severity ratings of side effects were mild. When using BrAC, transdermal, and self-report data, the percentage of non-drinking days was 93%, 58%, and 57%, and the longest duration of consecutive non-drinking days averaged 10.3, 7.2, and 5.7 days, respectively. About half of drinking days involved heavy drinking (5 + drinks). Self-report and transdermal drinking days correlated significantly, p < .001, but neither index was associated with BrAC. Group comparisons indicate small-to-moderate sized effects of reinforcement compared to no reinforcement for increasing the proportion of alcohol-negative breath samples and durations of consecutive non-drinking samples during the study when BrAC was the metric. Transdermal data and self-report data indicated a more complex pattern. Reinforcement participants drank more often but at lower quantities than monitoring (control) participants per both transdermal and self-report data. These data suggest that transdermal monitors are well tolerated and document substantial heavy drinking in this population. Soup kitchens users are in need of alcohol interventions, and soup kitchens may represent a novel opportunistic setting for intervention delivery for an important and growing health disparities population.

Project description:High average daily consumption of alcohol has been associated with elevated mortality risk, but more moderate consumption, relative to abstinence, has been associated with reduced mortality risk. However, average daily consumption can be complicated to assess, limiting its usefulness in both research and clinical practice. There are also concerns that average consumption fails to capture the risk associated with certain drinking patterns, such as heavy episodic drinking. This study assessed mortality associated with drinking pattern, operationalized as the frequency of both heavy and nonheavy drinking occasions.Data from the 1997 to 2001 administrations of the National Health Interview Survey (NHIS; n = 111,511) were paired with the current release of the NHIS Linked Mortality Files, which provided mortality follow-up data through the end of 2006. We estimated the impact of drinking pattern on all-cause mortality, operationalized as the frequency of heavy (5+ drinks) and nonheavy (<5 drinks) drinking occasions. Other covariates in the model included survey wave, sex, age, race/ethnicity, ratio of family income to poverty threshold, educational attainment, body mass index, and smoking status.Over a third of past-year drinkers reported heavy drinking. Mortality risk increased steadily as heavy drinking frequency increased; daily heavy drinkers exhibited an almost 2-fold risk of death compared with abstainers (p < 0.001). Regular nonheavy drinking was associated with decreased mortality, similar to the "J-shaped curve" highlighted in past research on alcohol mortality; this potential protective effect peaked around 2 nonheavy occasions per week.Any heavy drinking likely elevates mortality risk, and substantial health benefits could be realized by reducing heavy drinking occasions or limiting overall drinking. Heavy and nonheavy drinking frequencies are valid targets for clinical screening and could be helpful in assessing risk and promoting less harmful drinking behavior.

Project description:AimsTo examine the association between alcohol prices and age of initiation of alcohol use and the association between age of alcohol use initiation and heavy episodic drinking (HED) among adolescents in Chile.DesignWe estimated discrete-time hazard models using retrospective data and generalized ordered probit models with repeated cross-sectional data.SettingChile.ParticipantsA total of 248 336 urban youth who attended secondary school between 2003 and 2015 and self-reported ever having tried alcohol.MeasurementsWe created drinking histories from self-reported responses of age, age of alcohol use initiation and year/month of survey. From two self-reported responses, we created a four-category ordinal variable of heavy episodic drinking: none, one to two, three to nine and more than 10 HED episodes in the past 30 days. We constructed a monthly measure of real alcohol prices using the all-items and alcohol component of the Consumer Price Index compiled by Chile's statistical agency, the Instituto Nacional de Estadísticas.FindingsFirst, we found negative, statistically significant and policy-meaningful associations between alcohol prices and the age of alcohol use initiation. The estimated price elasticity of delay was -0.99 [95% confidence interval (CI) = -1.30, -0.69]. A 10% increase in real alcohol prices was associated with delayed alcohol use initiation of approximately 6.6 months. Secondly, we found that youth who had started drinking alcohol at a later age had statistically significant and substantially lower probabilities of having reported HED during the previous month. For example, youth who started drinking at 16 were 4.9 (95% CI = 4.2-5.6) percentage points more likely to have reported no HED in the previous month relative to youth who started drinking alcohol when aged 12 years or younger.ConclusionsIncreasing the price of alcohol products may delay alcohol initiation among young people in Chile. Chilean youth who start drinking alcohol later may engage in less harmful drinking practices.

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Decisional Balance: Alcohol Decisional Balance Intervention for Heavy Drinking Undergraduates.

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Decisional Balance: Alcohol Decisional Balance Intervention for Heavy Drinking Undergraduates.

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