173
Views
2
CrossRef citations to date
0
Altmetric
Articles

Alcohol consumption, dependence and foraging

ORCID Icon, ORCID Icon & ORCID Icon
Pages 624-629 | Received 22 Jul 2016, Accepted 08 Feb 2017, Published online: 28 Mar 2017
 

ABSTRACT

Background: Smartphone technology enables treatment providers to deliver targeted outpatient support “on site” in “real time,” but this will require a better understanding of peer networks and substance users’ acquisition of drugs. Objectives: This study sought to understand contextual factors associated with risky levels of alcohol consumption. Methods: A total of 280 participants answered an online survey, completed the AUDIT and indicated their numbers of regular drinking partners, and the number of times and places alcohol was normally consumed. Results: Hazardous drinkers had a greater number of drinking partners and drank alcohol at a greater number of times and locations. Alcohol dependence was associated with alcohol use in more times and places, but was not linked to the numbers of drinking partners. Models drawn from foraging literature were used to describe the data. Conclusions/Importance: Patterns of alcohol foraging could be described by power laws, and such power laws could be used to compare foraging for a range of substances. A consideration of foraging behavior may inform location-aware services targeting risky substance use.

Disclosure of potential conflicts of interest

The authors report no conflicts of interest.

Funding

Dr. Ogeil is the recipient of a Peter Doherty Early Career Fellowship from the National Health and Medical Research Council (Australia).

Additional information

Funding

Dr. Ogeil is the recipient of a Peter Doherty Early Career Fellowship from the National Health and Medical Research Council (Australia).

Log in via your institution

Log in to Taylor & Francis Online

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 683.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.