| Study: O'Brien et al (2008) ‘Alcohol industry sponsorship and hazardous drinking among sportspeople’ | Sample: n = 1279 sportspeople agreed to participate, 96% provided complete and usable data (n = 1233). | Receipt of alcohol industry sponsorship at the individual, team or club level was recorded, alongside receipt of free and/or discounted alcohol, and whether participants felt obliged to consume a sponsor's product or attend a sponsor's pub/club. Alcohol consumption was measured via an AUDIT test, included in the questionnaire. | Individuals in receipt of industry sponsorship at individual, team and club level had AUDIT scores on average 2.4 points higher (95% CI 0.70 to 4.09) than those who received no sponsorship. Those in receipt of free and/or discounted alcohol has AUDIT scores on average 1.56 points higher (95% CI 0.62 to 2.51) than those not in receipt. Feeling obliged to attend a sponsor's bar/club was associated with AUDIT scores 1.91 points higher (95% CI 0.85 to 2.98) than those who did not. |
| Design: cross-sectional survey | Sex: 48% female |
| Location: Auckland, Canterbury and Otago, New Zealand | Age: mean age 30.6 years, SD 13.4 years |
| Analysis: multiple regression analysis of covariance (ANCOVA) conducted to assess association of various sponsorship variables with AUDIT scores, adjusting for age, gender, and age of intoxication debut | Data collection: questionnaires completed by in-season sportspeople at training grounds, for a variety of sports (field, racquet and other team sports plus swimming) |
| Study: Davies, F (2009) ‘An investigation into the effects of sporting involvement and alcohol sponsorship on underage drinking’ | Sample: n = 322 students from five Welsh schools eligible. Final sample was 294 students completing questionnaires. | Awareness of alcohol sponsorship, sporting involvement, attitudes towards alcohol and intentions drink the following weekend were measured. | Awareness of alcohol sponsorship (Aw) predicted likelihood of boys drinking (β = 0.17) and of both boys and girls getting drunk the following weekend (β = 0.17, β = 0.13 respectively) P = 0.05. Interactive effects of Aw combined with attitudes towards drinking increased the predicted likelihood of boys (β = 0.26) and girls (β = 0.27) drinking the following weekend P = 0.05. For girls, the interaction of Aw in combination with Subjective norms for coaches predicted likelihood of drinking the following weekend (β = 0.22, P = 0.05) |
| Design: cross-sectional survey | Sex: 55% (n = 161) Male, 45% (n = 133) Female. |
| Location: Wales, UK | Age: Year 10 (age 14/15 years) |
| Analysis: multiple regression analyses | Data collection: Self-administered questionnaire |
| Study: O'Brien et al (2011) ‘Alcohol industry and non-alcohol industry sponsorship of sportspeople and drinking’ | Sample: n = 652 sportspeople from two large multi-campus universities. Response rate: 80% | Receipt of alcohol and/or non-alcohol industry sponsorship of any kind at individual, team and club level (e.g. monies, uniforms, equipment and other products). An AUDIT test was included to measure alcohol consumption. | Rates of hazardous drinking (AUDIT score >8) were greater in those receiving than those not receiving alcohol sponsorship (68.6% vs 58.6%, P≤ 0.005). After multiple regression, sportspeople in receipt of alcohol industry sponsorship had higher AUDIT scores than those not in receipt of alcohol industry sponsorship (Adj β = 1.67, 95% CI 0.56 to 2.78). Being in receipt of non-alcohol industry sponsorship, and being in receipt of both alcohol industry and non-alcohol industry sponsorship, were not significant predictors of AUDIT scores. |
| Design: cross-sectional survey | Sex: 51% female |
| Location: New South Wales, Australia | Age: 18–45 (mean = 20.74, SD = 3.28 years) |
| Analysis: multiple regression analysis controlling for known predictors of hazardous drinking (age, gender, location, age of intoxication debut, team vs individual sport and level or sporting participation) | Data collection: participants completed questionnaires after being approached at community and campus sportsgrounds and non-sporting venues |
| Study: De Bruijn et al (2012) ‘AMPHORA Report on European alcohol marketing exposure on alcohol expectancies and youth drinking’ | Sample: n = 6651 students participating in both waves 1&2 (9709 participated in wave 1). Country breakdown: Germany = 1398, Italy = 1771, Netherlands = 1525, Poland = 2001 | Association between exposure to alcohol branded sports sponsorship (measured by frequency of viewing alcohol-sponsored football championships) at time 1 with alcohol use (in past 30 days, based on ESPAD questions) and alcohol expectancies (recorded using shortened version of AEQ-A) at time 2 was investigated | Exposure to alcohol branded sports sponsorship increased the odds of drinking in last 30 days (β = 0.7, t = 3.23, P ≤ 0.01) at time 2. |
| Design: cross-sectional cross-country, longitudinal survey | Sex: 51.1% female, 48.5% male |
| Location: Germany, Italy, Netherlands, Poland | Age: mean age 13.95 years (SD 0.72) |
| Analysis: Hierarchical regressional analysis controlling for gender, age, smoking, education and sport participation. | Data collection: self-administered online anonymous questionnaires completed at two time periods (1 = Nov 2010–Feb 2011, 2 = Mar–Apr 2012). |
| Study: Kelly et al (2014) ‘The impact of alcohol sponsorship in sport upon university sportspeople’ | Sample: n = 501 university sportspeople from Australian universities. 33% reported receipt of alcohol sponsorship (n = 167). | Receipt of alcohol industry sponsorship of any kind at the individual or team level. Volume and frequency of alcohol consumption recorded, including acute (total drinks in past 7 days), chronic (average frequency and no. drinks consumed on average drinking day over last 12 months), binge (>5/4 drinks consumed by men/women in 2 h, past 12 months), and disordered consumption (CAGE questionnaire). | Small but not significant effect of receipt of alcohol sponsorship found on consumption amongst sportspeople. After multivariate regression, receipt of sponsorship associated with increase in acute consumption (β = 0.018, CI = −0.188 to 0.170), a decrease in chronic consumption (β = −0.006, CI = −0.178 to 0.192), a decrease in binge drinking (β = 0.025, CI = −0.186 to 0.186) and an increase in disordered consumption (β = 0.046, CI = −0.045 to 0.324). Comparing sportspeople in receipt of direct to user sponsorship with unsponsored sportspeople resulted in significant but small effects for chronic drinking (F = 7.71, P = 0.06, partial η2 = 0.02) and disordered consumption (F = 5.92, P = 0.015, partial η2 = 0.01) |
| Design: cross-sectional survey | Sex: sponsored sportspeople = Female 51%. Unsponsored sportspeople = Female 55% |
| Location: Australia, all territories except Northern | Age: sponsored sportspeople mean age = 21.8 years, SD = 3.6. Unsponsored sportspeople mean age = 22.3 years, SD = 5.2 |
| Analysis: multiple regression analysis conducted to assess association of 5 indicators for consumption with sponsorship status, controlling for known predictors (age, gender, location age of intoxication debut). Direct to user sponsorship effect subjected to multivariate MANCOVA analysis, using Wilks Criterion. | Data collection: Self-administered online questionnaire |
| Study: Kingsland et al. (2013) ‘Alcohol consumption and sport: A cross-sectional study of alcohol management practices associated with at-risk alcohol consumption at community football clubs’ | Sample: Football club management representatives n = 72 (response rate 32%), club members n = 1428 (response rate 85%). Analysed members who reported drinking n = 1335 | Club management practices, including receipt of alcohol sponsorship and sponsorship in form of free/discounted alcohol were compared with alcohol consumption levels of club members whilst at their club in last three months (frequency of consumption measured using modified GFI). Consumption of >5 drinks at least once a month was classed as harmful drinking. | Members of clubs with sponsors who make, distribute or sell alcohol were no significantly more likely to report risky drinking than members of clubs without alcohol sponsors (28 vs 24%, P = 0.382). Members of clubs in receipt of alcohol from sponsors were not significantly more likely to report risky drinking than members of clubs not in receipt of alcohol (34 vs 26.3%, P = 0.248) |
| Design: cross-sectional survey | Sex: 83% male, 17% female |
| Location: New South Wales, Australia | Age: mean age 34 years, (SD 12) |
| Analysis: univariate association between club alcohol management practices and at risk consumption by club members | Data collection: computer assisted telephone surveys |
| Study: O'Brien et al (2014) ‘Alcohol industry sponsorship and hazardous drinking in UK university students who play sport’ | Sample: Sportspeople, n = 2048 (response rate 83% n = 2450 approached) from several universities across the UK | Receipt of alcohol industry sponsorship at the individual, team or club level was recorded. Alcohol consumption was measured using AUDIT-C test, with scores >8 recorded as hazardous drinking. | After adjusting for covariates, sportspeople in receipt of alcohol sponsorship reported significantly higher alcohol consumption than non-sponsored sportspeople (χ2(1643) = 431.17, P ≤ 0.0001). These results were seen amongst those in receipt of sponsorship at the team level (βb = 0.41, 95% CI = 0.07,0.75, P = 0.05), at club level (βb = 0.73 95%, CI = 0.012,1.34, P = 0.05), at both team and club level (βb = 0.79, 95%, CI = 0.28,1.29, P = 0.01) and with a combination of individual sponsorship and team or club level (βb = 1.27, 95% CI = 0.42,2.11, P = 0.001). For hazardous drinking the overall association with alcohol sponsorship was significant (χ2(4) = 11.93, P = 0.018). Hazardous drinking was associated with sponsorship at the team level (Adj OR = 1.25, 95% CI = 0.82,1.91), at the club level (Adj OR = 1.78, 95% CI = 0.87,3.63), at team and club level (Adj OR = 2.04, 95% CI = 1.04,3.99, P ≤ 0.05) and with combination of personal and team or club level (Adj OR = 4.12, 95% CI = 1.29,13.15, P ≤ 0.05) |
| Design: cross-sectional survey | Sex: 44% female |
| Location: UK | Age: mean age 19.97 years |
| Analysis: multiple regression analysis adjusting for age, gender, location and disposable income used to examine associations between alcohol sponsorship variables and alcohol consumption. | Data collection: participants completed questionnaires after being approached at university sports venues |