| Literature DB >> 28068977 |
Alan R Clough1, Stephen A Margolis2, Adrian Miller3, Anthony Shakeshaft4, Christopher M Doran5, Robyn McDermott6, Robert Sanson-Fisher7, Valmae Ypinazar2, David Martin8, Jan A Robertson9, Michelle S Fitts9, Katrina Bird9, Bronwyn Honorato9, Simon Towle9, Caryn West10.
Abstract
BACKGROUND: In Australia, 'Alcohol Management Plans' (AMPs) provide the policy infrastructure for State and Commonwealth Governments to address problematic alcohol use among Aboriginal and Torres Strait Islanders. We report community residents' experiences of AMPs in 10 of Queensland's 15 remote Indigenous communities.Entities:
Keywords: Aboriginal and Torres Strait Islander; Alcohol; Australian; Evaluation; Indigenous; Legal intervention
Mesh:
Year: 2017 PMID: 28068977 PMCID: PMC5223386 DOI: 10.1186/s12889-016-3995-8
Source DB: PubMed Journal: BMC Public Health ISSN: 1471-2458 Impact factor: 3.295
Proportions of participants agreeing with seven ‘favourable’ propositions and seven ‘unfavourable’ propositions about possible impacts of Alcohol Management Plans (AMPs) put to 1211 residents of 10 Aboriginal and Torres Strait Islander (Indigenous) communities in a survey conducted in Queensland (Australia) in 2014–15
| Variable name | Propositions (to avoid conditioned responses propositions were arranged in the survey according to the order specified by the number enclosed in brackets) | Proportion of participants who ‘agree’ ( |
|
|---|---|---|---|
| ‘Favourable’ impacts | |||
| f1 | The AMP has helped make children safer in this community (6) | 56% (1007) | <0.001 |
| f2 | The AMP has made people more safe in this community (11) | 53% (1019) | 0.097 |
| f3 | The AMP has reduced violence against women in this community (4) | 49% (1017) | 0.363 |
| f4 | Since the AMP, violence has gone down in this community (5) | 53% (1072) | 0.024 |
| f5 | Since the AMP, school attendance has gone up in this community (7) | 66% (899) | <0.001 |
| f6 | The AMP has been good for this community and made it a better place to live (1) | 54% (1026) | 0.012 |
| f7 | People are more aware of harmful effects of alcohol/drinking now (since the AMP) (2) | 71% (1057) | <0.001 |
| ‘Unfavourable’ impacts | |||
| u4 | The AMP has caused more people to get fined, criminal records and convictions (3) | 90% (1064) | <0.001 |
| u1 | There is more (not so much) gunjah being smoked in this community since the AMP (12) † | 69% (944) | <0.001 |
| u3 | There is more “binge drinking” now than before the AMP (13) | 73% (1006) | <0.001 |
| u6 | The AMP has discriminated against some people (14) | 77% (1026) | <0.001 |
| u5 | Police can’t (can) enforce the AMP effectively and stop the alcohol coming in (9) † | 51% (1098) | 0.365 |
| u7 | The AMP has not (has) reduced the alcohol people can get in this community (8) † | 58% (1118) | <0.001 |
| u8 | The AMP has not (has) helped people change their drinking and they are (not) drinking less (10) † | 56% (1076) | <0.001 |
* One-sample test of proportions - stated proportion agreeing is different from a theoretical reference proportion of 50%, i.e. no majority agreeing/disagreeing
† These propositions were put to participants with reverse logic but then reverse coded for analysis to reduce possible bias where participants’ views may have been led towards agreeing with some of the more critical and contentious unfavourable impacts
Fig. 1Measurement models of impacts of Alcohol Management Plans (AMPs) using confirmatory factor analysis (CFA) with structural equation modelling (SEM) analysing the tetrachoric correlation matrix for binary data from a survey of 1211 residents of 10 Aboriginal and Torres Strait Islander (Indigenous) communities conducted in Queensland (Australia) in 2014–15. The number of participants responding to each proposition is enclosed in brackets and the proportion agreeing about each proposition is included. * indicates where the stated proportion agreeing is not different from a theoretical proportion of 50%, i.e. no majority agreeing/disagreeing
Multivariable binary logistic regression models comparing characteristics of participants who agreed with each proposition about ‘favourable’ or ‘unfavourable’ impacts due to Alcohol Management Plans (AMPs) against those who disagreed (reference category) in a sample of 1211 residents of 10 Aboriginal and Torres Strait Islander (Indigenous) communities in a survey conducted in Queensland (Australia) in 2014–15
| a) Participants who agreed with each proposition about ‘favourable’ impacts | ||||||||
| Children safer | Personal safety improved | Violence against women reduced | Violence reduced generally | School attendance improved | Community a better place to live | More awareness of alcohol harms | ||
| Variable name | f1 | f2 | f3 | f4 | f5 | f6 | f7 | |
| Gender | Male | 1.0 (0.9, 1.1) | 1.1 (0.8, 1.5) | 1.1 (0.8, 1.4) | 1.0 (0.8, 1.2) | 1.1 (0.9, 1.4) | 1.0 (0.8, 1.4) | 1.0 (0.7, 1.4) |
| Age group | 18–24 | 0.5 (0.3, 1.1) | 0.8 (0.4, 1.5) | 0.7 (0.4, 1.2) | 0.9 (0.5, 1.7) | 0.6 (0.3, 1.0)* | 0.7 (0.5, 1.2) | 1.1 (0.5, 2.4) |
| 25–44 | 0.6 (0.3, 1.3) | 0.5 (0.3, 1.1) | 0.7 (0.4, 1.4) | 0.9 (0.4, 1.7) | 0.6 (0.3, 1.0) | 0.5 (0.3, 0.9)* | 0.8 (0.4, 1.7) | |
| 45–64 | 0.6 (0.3, 1.2) | 0.5 (0.3, 1.0)* | 0.7 (0.4, 1.3) | 0.8 (0.4, 1.4) | 0.5 (0.3, 1.0) | 0.6 (0.4, 0.8)* | 0.9 (0.6, 1.5) | |
| 65 and over† | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | |
| Resident ≥ 6 years | 1.2 (0.8, 1.6) | 1.6 (1.1, 2.3)* | 1.5 (1.0, 2.3)* | 1.3 (0.9, 1.9) | 1.0 (0.7, 1.3) | 1.1 (0.8, 1.5) | 1.4 (1.0, 1.8)* | |
| Indigenous | 1.1 (0.6, 2.1) | 0.6 (0.4, 1.1) | 1.1 (0.5, 2.5) | 1.0 (0.5, 2.1) | 1.6 (1.1, 2.5)* | 0.7 (0.4, 1.2) | 1.3 (0.6, 3.0) | |
| Current drinker | 1.3 (1.2, 1.5)* | 1.0 (0.7, 1.5) | 1.1 (0.8, 1.3) | 1.0 (0.6, 1.6) | 1.2 (0.9, 1.6) | 0.9 (0.6, 1.3) | 1.0 (0.8, 1.2) | |
| b) Participants who agreed with each proposition about ‘unfavourable’ impacts | ||||||||
| Increased criminalisation | Cannabis increased | Binge drinking increased | Discrimination felt or experienced | Police can’t stop all alcohol | Alcohol availability not reduced | People not drinking less | ||
| Variable name | u4 | u1 | u3 | u6 | u5 | u7 | u8 | |
| Gender | Male | 1.0 (0.6, 1.6) | 0.8 (0.6, 0.9)* | 0.8 (0.6, 1.1) | 1.0 (0.7, 1.3) | 0.8 (0.6, 1.1) | 0.9 (0.7, 1.2) | 0.9 (0.6, 1.3) |
| Age group | 18–24 | 0.5 (0.2, 1.9) | 2.0 (1.2, 3.3)* | 1.0 (0.4, 2.4) | 1.8 (1.2, 2.9)* | 1.3 (0.5, 3.3) | 0.7 (0.4, 1.0) | 0.8 (0.5, 1.3) |
| 25–44 | 0.8 (0.3, 2.3) | 2.7 (1.6, 4.4)* | 1.1 (0.5, 2.2) | 1.9 (1.3, 2.7)* | 1.7 (1.0, 2.9)* | 0.6 (0.3, 1.1) | 1.0 (0.6, 1.6) | |
| 45–64 | 0.7 (0.2, 1.9) | 2.4 (1.3, 4.4)* | 0.9 (0.4, 2.0) | 1.8 (1.1, 2.8)* | 1.8 (1.0, 3.3) | 0.6 (0.3, 1.2) | 1.2 (0.7, 2.0) | |
| 65 and over† | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | |
| Resident ≥ 6 years | 2.5 (1.3, 5.0)* | 1.1 (0.8, 1.6) | 1.5 (1.1, 2.1)* | 1.2 (0.8, 1.6) | 1.0 (0.7, 1.5) | 0.8 (0.5, 1.1) | 0.7 (0.4, 1.1) | |
| Indigenous | 1.5 (0.8, 3.0) | 0.3 (0.1, 0.7)* | 0.7 (0.5, 1.0) | 1.2 (0.6, 2.5) | 0.4 (0.2, 0.6)* | 0.9 (0.5, 1.5) | 0.5 (0.4, 0.7)* | |
| Current drinker | 0.9 (0.5, 1.5) | 1.1 (0.8, 1.5) | 0.7 (0.4, 1.0)* | 0.9 (0.6, 1.3) | 1.1 (0.7, 1.7) | 1.0 (0.9, 1.2) | 0.9 (0.6, 1.3) | |
*p < 0.05
† reference category
Standardised loadings for the CFA model depicted in Fig. 1 for seven propositions about ‘favourable’ and ‘unfavourable’ impacts of Alcohol Management Plans (AMPs) put to 1211 residents of 10 Aboriginal and Torres Strait Islander (Indigenous) communities in a survey conducted in Queensland (Australia) in 2014–15
| Variable name | Propositions | Standardised loading |
|---|---|---|
| a) Propositions about ‘favourable’ impacts | ||
| Loadings for variables | ||
| f1 | The AMP has helped make children safer in this community | 0.95** |
| f2 | The AMP has made people more safe in this community | 0.85** |
| f3 | The AMP has reduced violence against women in this community | 0.83** |
| f4 | Since the AMP, violence has gone down in this community | 0.80** |
| f5 | Since the AMP, school attendance has gone up in this community | 0.79** |
| f6 | The AMP has been good for this community and made it a better place to live | 0.74** |
| f7 | People are more aware of harmful effects of alcohol/drinking now (since the AMP) | 0.48** |
| Variances | ||
| error.f1 | 0.09 | |
| error.f2 | 0.28 | |
| error.f3 | 0.32 | |
| error.f4 | 0.35 | |
| error.f5 | 0.38 | |
| error.f6 | 0.45 | |
| error.f7 | 0.77 | |
| Favourable | 1.00 (fixed) | |
| Covariances | ||
| error.f1 with error.f6 | −0.08** | |
| error.f1 with error.f7 | −0.11** | |
| error.f2 with error.f6 | 0.10** | |
| error.f3 with error.f4 | 0.10** | |
| b) Propositions about ‘unfavourable’ impacts | ||
| Loadings for variables | ||
| u4 | The AMP has caused more people to get fined, criminal records and convictions | 0.03 |
| u1 | There is more (not so much) gunjah being smoked in this community since the AMP | 0.25** |
| u3 | There is more “binge drinking” now than before the AMP | 0.27** |
| u6 | The AMP has discriminated against some people | 0.39** |
| u5 | Police can’t (can) enforce the AMP effectively and stop the alcohol coming in | 0.43** |
| u7 | The AMP has not (has) reduced the alcohol people can get in this community | 0.57** |
| u8 | The AMP has not (has) helped people change their drinking and they are (not) drinking less | 0.77** |
| Variances | ||
| error.u4 | 1.00 | |
| error.u1 | 0.90 | |
| error.u3 | 0.93 | |
| error.u6 | 0.85 | |
| error.u5 | 0.81 | |
| error.u7 | 0.67 | |
| error.u8 | 0.40 | |
| Unfavourable | 1.00 (fixed) | |
| Covariances | ||
| error.u4 with error.u3 | 0.29** | |
| error.u4 with error.u6 | 0.42** | |
| error.u4 with error.u7 | 0.12** | |
| error.u1 with error.u8 | −0.19** | |
| error.u3 with error.u5 | −0.14** | |