RESUMO
BACKGROUND: To evaluate the effects of booster and no booster versions of web-based alcohol Personalised Normative Feedback (PNF) and whether descriptive norms mediated and/or participant motivation moderated the effectiveness of the intervention in real world conditions (i.e. no financial incentives). METHODS: Pragmatic randomised controlled trial with 1-, 3-, and 6-month assessments. Brazilian college students reporting alcohol use in the last 12 months (N=931) were recruited from May/2020 to December/2022 and allocated to 1) No booster/single PNF(S-PNF); 2) Booster/multiple PNF(M-PNF); or 3) Assessment-only control. We applied Helmert coding [1: Any intervention (S-PNF or M-PNF) vs. Control; and 2: S-PNF vs. M-PNF]. PRIMARY OUTCOMES: typical number of drinks/week and maximum number of drinks/week; secondary outcomes: drinking frequency and number of consequences. Three-months assessment was the primary interval. Descriptive norms were tested as mediator. Interest, importance, and readiness to change were examined as moderators. RESULTS: Compared to control, any intervention did not influence primary outcomes at 3-months or 6-months, but did at 1-month, when reduced typical drinking (IRR:0.77, 95%CI:0.66;0.90) and maximum number of drinks (IRR:0.69, 95%CI:0.58;0.82). There was an intervention effect on the consequences at 3-months. No differences were observed between S-PNF and M-PNF. No mediation effects were found at 3-months. At 6-months, there was an indirect effect on typical drinking through norms at 3-months (b=-0.82, 95%CI:-2.03;-0.12) and effects on maximum drinks through norms at 1-month (b=-0.54, 95%CI:-1.65;-0.02). No support for moderation was found. CONCLUSIONS: Intervention reduced alcohol drinking at 1 month only and was not effective thereafter. Mechanisms of effect remain unclear.
Assuntos
Consumo de Álcool na Faculdade , Estudantes , Humanos , Masculino , Feminino , Adulto Jovem , Estudantes/psicologia , Consumo de Álcool na Faculdade/psicologia , Universidades , Adolescente , Intervenção Baseada em Internet , Internet , Retroalimentação Psicológica , Motivação , Consumo de Bebidas Alcoólicas/psicologia , Brasil , Adulto , Normas SociaisRESUMO
AIMS: To evaluate the effects of the two main components of a personalized normative feedback (PNF) [normative feedback only (NFO); and consequences feedback only (CFO)] compared with the full intervention (PNF) in reducing alcohol use and consequences. DESIGN: Three-arm pragmatic randomized controlled trial with dismantling design and 1-, 3- and 6-month follow-ups. SETTING: Web-based among Brazilian college students. PARTICIPANTS: College students (aged 18-30 years) who reported alcohol use in the last 3 months (n = 5476). INTERVENTIONS: (1) Full PNF (a) drinking profile; (b) normative comparisons; (c) practical costs; (d) alcohol consequences; (e) strategies to decrease risks; (2) NFO components (a), (b) and (e); or (3) CFO components (c), (d) and (e). MEASUREMENTS: The primary outcome was change in Alcohol Use Disorders Identification Test (AUDIT) score; secondary outcomes were the number of alcohol consequences, drinking frequency and typical/maximum number of drinks. We used mixed models with multiple imputation and a pattern-mixture model to account for attrition. Subgroup analyses considered participant motivation to know more about their drinking (less motivated versus motivated). FINDINGS: Dismantled components reduced rather than increased AUDIT score compared to full PNF, with significant effects for NFO at 1 month [b = -0.23, 95% confidence interval (CI) = -0.46; -0.002] and for CFO at 3 months (b = -0.33, 95% CI = -0.62; -0.03). Compared with PNF, NFO reduced the number of alcohol consequences at 1 month (b = -0.16, 95% CI = -0.25; -0.06) and drinking frequency at 3 months (b = -0.42, 95% CI = -0.79; -0.05), but increased the number of typical drinks at 6 months (b = 0.38, 95% CI = 0.04; 0.72). CFO reduced drinking frequency at 3 months (b = -0.37, 95% CI = -0.73; -0.01). Attrition models confirmed all results, except for the NFO effect on typical drinks and drinking frequency. Subgroup analyses indicated superiority of dismantled components among the students less motivated in knowing more about their drinking. CONCLUSIONS: There was no evidence that either the normative or the consequences components of a web-based personalized normative feedback intervention to reduce alcohol use and its consequences contributed to intervention effects. There was some evidence of adverse effects of personalized normative feedback, and these results were driven by 20% of participants who were less motivated in knowing more about their drinking.