Literature DB >> 18945533

The relationship between alcohol consumption and self-reported health status using the EQ5D: evidence from rural Australia.

Dennis Petrie1, Chris Doran, Anthony Shakeshaft, Rob Sanson-Fisher.   

Abstract

Alcohol misuse represents one of the leading causes of preventable death, illness and injury in Australia. Extensive research exists estimating the effect of risky alcohol use on mortality, but little research quantifies the impact of risky alcohol consumption on morbidity. Such estimates are required to more precisely measure the benefit of interventions aimed at reducing risky alcohol use. Ordered probit and tobit models are used in this research to analyse the impact of risky drinking on self-reported health status using questionnaire data from an age and gender stratified sample drawn from 20 rural communities in New South Wales which are part of a large randomised controlled trial of community based alcohol interventions. It is found that risky alcohol use is associated with lower self-reported health; however, the average effect is small apart for those drinking at very-high risk. The effect of alcohol on morbidity, derived from the current analyses, is lower than that commonly used in current economics analyses. If this is accurate for geographical regions other than rural Australia, then from a policy viewpoint, these economic analyses may tend to overemphasise interventions which are morbidity reducing, such as taxation, and place undue focus on alcohol as a risk factor and consequently adversely impact resource allocation decisions.

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Year:  2008        PMID: 18945533     DOI: 10.1016/j.socscimed.2008.09.017

Source DB:  PubMed          Journal:  Soc Sci Med        ISSN: 0277-9536            Impact factor:   4.634


  11 in total

1.  Longitudinal association of preference-weighted health-related quality of life measures and substance use disorder outcomes.

Authors:  Jeffrey M Pyne; Shanti Tripathi; Michael French; Kathryn McCollister; Richard C Rapp; Brenda M Booth
Journal:  Addiction       Date:  2011-03       Impact factor: 6.526

2.  Bariatric surgery for the treatment of severely obese patients in South Korea--is it cost effective?

Authors:  Hyun Jin Song; Jin Won Kwon; Yong Jin Kim; Sung-Hee Oh; Yoonseok Heo; Sang-Moon Han
Journal:  Obes Surg       Date:  2013-12       Impact factor: 4.129

3.  Using the SF-6D to measure the impact of alcohol dependence on health-related quality of life.

Authors:  Jacinto Mosquera Nogueira; Eva Rodríguez-Míguez
Journal:  Eur J Health Econ       Date:  2014-09-06

4.  Measuring intangible cost-of-morbidity due to substance dependence: implications of using alternative preference-based instruments.

Authors:  Bruno Casal; Eva Rodríguez-Míguez; Berta Rivera
Journal:  Eur J Health Econ       Date:  2020-05-17

5.  SF-6D utility scores for alcohol use disorder status and alcohol consumption risk levels in the US population.

Authors:  Carolina Barbosa; Jeremy W Bray; William N Dowd; Alan Barnosky; Eve Wittenberg
Journal:  Addiction       Date:  2020-08-27       Impact factor: 6.526

6.  An empirical approach to selecting community-based alcohol interventions: combining research evidence, rural community views and professional opinion.

Authors:  Anthony Shakeshaft; Dennis Petrie; Christopher Doran; Courtney Breen; Robert Sanson-Fisher
Journal:  BMC Public Health       Date:  2012-01-10       Impact factor: 3.295

7.  The effectiveness of community action in reducing risky alcohol consumption and harm: a cluster randomised controlled trial.

Authors:  Anthony Shakeshaft; Christopher Doran; Dennis Petrie; Courtney Breen; Alys Havard; Ansari Abudeen; Elissa Harwood; Anton Clifford; Catherine D'Este; Stuart Gilmour; Rob Sanson-Fisher
Journal:  PLoS Med       Date:  2014-03-11       Impact factor: 11.069

8.  Quality of life among hazardous and harmful drinkers: EQ-5D over a 1-year follow-up period.

Authors:  Holly N Essex; Ian R White; Zarnie Khadjesari; Stuart Linke; Jim McCambridge; Elizabeth Murray; Steve Parrott; Christine Godfrey
Journal:  Qual Life Res       Date:  2013-09-13       Impact factor: 4.147

9.  Factors Influencing the Health Behaviour of Indigenous Australians: Perspectives from Support People.

Authors:  Pippa Waterworth; Melanie Pescud; Rebecca Braham; James Dimmock; Michael Rosenberg
Journal:  PLoS One       Date:  2015-11-24       Impact factor: 3.240

10.  A cross-sectional study of self-reported general health, lifestyle factors, and disease: the Hordaland Health Study.

Authors:  Randi Jepsen; Tadesse Washo Dogisso; Elin Dysvik; John Roger Andersen; Gerd Karin Natvig
Journal:  PeerJ       Date:  2014-10-02       Impact factor: 2.984

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