Abstract:
BACKGROUND:Relatively little is known about factors that may lead to the development of a substance use disorder (SUD), across a range of drug classes. This study aimed to identify factors that predict the likelihood of transition from use to SUD and the speed with which this may occur at the population level, with a focus on the impact of pre-existing mental disorders. METHODS:Data were collected as part of the 2007 Australian National Survey of Mental Health and Wellbeing, a nationally representative survey of 8841 Australian adults. A series of discrete time survival analyses were undertaken on data pertaining to the age of onset of use and symptoms of use disorder, for alcohol, cannabis, sedatives, stimulants, and opioids, as well as the impact of pre-existing mood and anxiety disorders on the likelihood of developing a SUD. RESULTS:Lifetime cumulative probability estimates indicated that 50.4% of stimulant, 46.6% of opioid, 39% of sedative, 37.5% of alcohol, and 34.1% of cannabis users would develop a SUD on those substances, within an estimated 14, 12, 8, 30, and 23 years after onset respectively. Pre-existing mental disorders were significantly associated with increased risk of developing a SUD for alcohol, cannabis and stimulant use disorder. CONCLUSION:The relative speed associated with the transition from use to SUD emphasizes the narrow window of time available to intervene, underscoring the urgency of early identification of mental health conditions and the timely provision of appropriate evidence-based interventions, which could potentially prevent the development of secondary SUDs.
journal_name
Drug Alcohol Dependjournal_title
Drug and alcohol dependenceauthors
Marel C,Sunderland M,Mills KL,Slade T,Teesson M,Chapman Cdoi
10.1016/j.drugalcdep.2018.10.010subject
Has Abstractpub_date
2019-01-01 00:00:00pages
136-142eissn
0376-8716issn
1879-0046pii
S0376-8716(18)30531-3journal_volume
194pub_type
杂志文章abstract:INTRODUCTION:In Florida, since 1998, identical survey items have been used to measure youth smoking status for the CDC sponsored state school-based survey and the tobacco control program evaluation telephone survey. The two surveys should parallel one another to track tobacco use. Tobacco items collected in the two sur...
journal_title:Drug and alcohol dependence
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journal_title:Drug and alcohol dependence
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journal_title:Drug and alcohol dependence
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journal_title:Drug and alcohol dependence
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journal_title:Drug and alcohol dependence
pub_type: 杂志文章,多中心研究
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journal_title:Drug and alcohol dependence
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更新日期:2014-03-01 00:00:00
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journal_title:Drug and alcohol dependence
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journal_title:Drug and alcohol dependence
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journal_title:Drug and alcohol dependence
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journal_title:Drug and alcohol dependence
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journal_title:Drug and alcohol dependence
pub_type: 杂志文章,多中心研究
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更新日期:2017-09-01 00:00:00
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journal_title:Drug and alcohol dependence
pub_type: 杂志文章,随机对照试验
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更新日期:2014-07-01 00:00:00
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journal_title:Drug and alcohol dependence
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更新日期:2009-10-01 00:00:00
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journal_title:Drug and alcohol dependence
pub_type: 杂志文章
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更新日期:1978-05-01 00:00:00
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journal_title:Drug and alcohol dependence
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journal_title:Drug and alcohol dependence
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更新日期:2007-01-05 00:00:00
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journal_title:Drug and alcohol dependence
pub_type: 杂志文章,评审
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更新日期:2013-11-01 00:00:00
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journal_title:Drug and alcohol dependence
pub_type: 杂志文章,评审
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更新日期:2013-08-01 00:00:00