| Literature DB >> 23947601 |
Melanie Kingsland1, Luke Wolfenden, Bosco C Rowland, Karen E Gillham, Vanessa J Kennedy, Robyn L Ramsden, Richard W Colbran, Sarah Weir, John H Wiggers.
Abstract
BACKGROUND: Excessive alcohol consumption is responsible for considerable harm from chronic disease and injury. Within most developed countries, members of sporting clubs participate in at-risk alcohol consumption at levels above that of communities generally. There has been limited research investigating the predictors of at-risk alcohol consumption in sporting settings, particularly at the non-elite level. The purpose of this study was to examine the association between the alcohol management practices and characteristics of community football clubs and at-risk alcohol consumption by club members.Entities:
Mesh:
Year: 2013 PMID: 23947601 PMCID: PMC3751764 DOI: 10.1186/1471-2458-13-762
Source DB: PubMed Journal: BMC Public Health ISSN: 1471-2458 Impact factor: 3.295
Characteristics of participating club members (not including abstainers) (N=1335)
| | |
| Player | 55% (729) |
| Coach | 15% (197) |
| Club committee member | 14% (193) |
| Club supporter/fan | 11% (145) |
| Multiple roles | 5% (71) |
| | |
| Male | 83% (1111) |
| Female | 17% (224) |
| | |
| Employed | 87% (1159) |
| Unemployed/retired/other | 13% (176) |
| | |
| Mean (SD) | 34 years (12 years) |
Univariate association between club alcohol management practices and characteristics and at-risk alcohol consumption by club members
| | p=0.411 | |
| Yes | 300 (28.4%) | |
| No | 66 (23.8%) | |
| | p=0.572 | |
| Limited licence-single function | 6 (40.0%) | |
| Limited licence- multiple function | 242 (28.2%) | |
| Function licence | 12 (17.6%) | |
| | p=0.843 | |
| Yes | 140 (26.9%) | |
| No | 222 (27.9%) | |
| | p=0.382 | |
| Yes | 316 (28.0%) | |
| No | 50 (24.2%) | |
| | p=0.248 | |
| Yes | 67 (34.0%) | |
| No | 299 (26.3%) | |
| 231 (27.8%) | p=0.783 | |
| All staff trained | 130 (26.5%) | |
| Less than all staff trained | | |
| | p=0.027 | |
| Never | 183 (23.6%) | |
| Rarely/sometimes/usually/always | 183 (32.7%) | |
| | p=0.008 | |
| Yes | 341 (26.7%) | |
| No | 25 (42.4%) | |
| | p=0.758 | |
| Full strength most expensive | 258 (26.4%) | |
| Priced the same or low alcohol most expensive | 69 (28.2%) | |
| | p=0.947 | |
| Yes | 360 (27.4%) | |
| No | 6 (27.3%) | |
| | p<0.001 | |
| Yes | 298 (31.8%) | |
| No | 68 (17.1%) | |
| | p<0.001 | |
| Yes | 321 (31.7%) | |
| No | 45 (13.9%) | |
| | p<0.001 | |
| | | |
| Yes | 17 (43.6%) | |
| No | 345 (27.0%) | |
| | p=0.374 | |
| Yes | 17 (34.7%) | |
| No | 345 (27.2%) | |
| | p=0.003 | |
| Yes | 98 (40.0%) | |
| No | 264 (24.6%) | |
| | p=0.071 | |
| Yes | 37 (38.1%) | |
| No | 325 (26.6%) | |
| | p=0.016 | |
| Yes | 108 (37.5%) | |
| No | 254 (24.7%) | |
| | p=0.216 | |
| Yes | 51 (34.5%) | |
| No | 311 (26.6%) | |
| | p=0.001 | |
| Soccer/association football | 55 (17.9%) | |
| Rugby League | 103 (25.1%) | |
| Australian Rules | 58 (25.8%) | |
| Rugby Union | 150 (38.2%) | |
| | p=0.008 | |
| Less than 150 | 181 (34.0%) | |
| 150 or more | 185 (23.0%) | |
| | p=0.288 | |
| Major cities | 306 (27.3%) | |
| Inner regional | 27 (20.0%) | |
| Outer regional | 33 (40.7%) |
Multivariate association between club alcohol management practices and characteristics and at-risk alcohol consumption by club members
| | p=0.0074 | |
| No | Referent | |
| Yes | 2.23 (1.26–3.93) | |
| | p<0.0001 | |
| No | Referent | |
| Yes | 2.84 (1.84–4.38) | |
| | p=0.0084 | |
| No | referent | |
| Yes | 1.80 (1.16–2.80) | |
| | p=0.0004 | |
| Australian Rules | referent | |
| Soccer/association football | 1.25 (0.70–2.24) | |
| Rugby League | 1.95 (1.10–3.46) | |
| Rugby Union | 2.64 (1.60–4.37) | |
| | p=0.0393 | |
| 150 or more | referent | |
| Less than 150 | 1.45 (1.02–2.05) |
* Adjusted for clustering of members at the same club.