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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Trend in alcohol use in Australia over 13 years: has there been a trend reversal?
|
|---|---|
| Published in |
BMC Public Health, October 2016
|
| DOI | 10.1186/s12889-016-3732-3 |
| Pubmed ID | |
| Authors |
Gary C.K. Chan, Janni K. Leung, Catherine Quinn, Jason P. Connor, Leanne Hides, Matthew J. Gullo, Rosa Alati, Megan Weier, Adrian B. Kelly, Wayne D. Hall |
| Abstract |
Skog's collectivity theory of alcohol consumption predicted that changes in alcohol consumption would synchronize across all types of drinkers in a population. The aim of this paper is examine this theory in the Australian context. We examined whether there was a collective change in alcohol use in Australia from 2001 to 2013, estimated alcohol consumption in non-high risk and high risk drinkers, and examined the trends in alcohol treatment episodes. Data from the 2001-2013 National Drug Strategy Household Surveys (N = 127,916) was used to estimate the prevalence and alcohol consumption of abstainers, high risk drinkers and frequent heavy episodic drinkers. Closed treatment episodes recorded in the Alcohol and Other Drug Treatment Services National Minimum Dataset (N = 608,367) from 2001 to 2013 were used to examine the trends of closed alcohol treatment episodes. The prevalence of non-drinkers (abstainers) decreased to the lowest level in 2004 (15.3 %) and rebounded steadily thereafter (20.4 % in 2013; p < .001). Correspondingly, the per capita consumption of high risk drinkers (2 standard drinks or more on average per day) increased from 20.7 L in 2001 to peak in 2010 (21.5 L; p = .020). Non-high risk drinkers' consumption peaked in 2004 (2.9 L) and decreased to 2.8 L in 2013 (p < .05). There were decreases in alcohol treatment episodes across nearly all birth cohorts in recent years. These findings are partially consistent with and support Skog's collectivity theory. There has been a turnaround in alcohol consumption after a decade-long uptrend, as evident in the collective decreases in alcohol consumption among nearly all types of drinkers. There was also a turnaround in rate of treatment seeking, which peaked at 2007 and then decreased steadily. The timing of this turnaround differs with level of drinking, with non-high risk drinkers reaching its peak consumption in 2004 and high risk drinkers reaching its peak consumption in 2010. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 67% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 48 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 10 | 21% |
| Researcher | 8 | 17% |
| Other | 5 | 10% |
| Professor > Associate Professor | 3 | 6% |
| Professor | 2 | 4% |
| Other | 8 | 17% |
| Unknown | 12 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 10 | 21% |
| Psychology | 8 | 17% |
| Business, Management and Accounting | 3 | 6% |
| Computer Science | 2 | 4% |
| Social Sciences | 2 | 4% |
| Other | 4 | 8% |
| Unknown | 19 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 13 October 2016.
All research outputs
#14,080,108
of 23,342,664 outputs
Outputs from BMC Public Health
#10,162
of 15,215 outputs
Outputs of similar age
#175,712
of 321,564 outputs
Outputs of similar age from BMC Public Health
#155
of 237 outputs
Altmetric has tracked 23,342,664 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 15,215 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.0. This one is in the 32nd percentile – i.e., 32% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 321,564 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 237 others from the same source and published within six weeks on either side of this one. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.