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    Do changes in social and economic factors lead to changes in drinking behavior in young adults? Findings from three waves of a population based panel study

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    Author
    van der Deen, FS; Carter, KN; McKenzie, SK; Blakely, T
    Date
    2014-09-08
    Source Title
    BMC Public Health
    Publisher
    BIOMED CENTRAL LTD
    University of Melbourne Author/s
    Blakely, Antony
    Affiliation
    Melbourne School of Population and Global Health
    Metadata
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    Document Type
    Journal Article
    Citations
    van der Deen, F. S., Carter, K. N., McKenzie, S. K. & Blakely, T. (2014). Do changes in social and economic factors lead to changes in drinking behavior in young adults? Findings from three waves of a population based panel study. BMC PUBLIC HEALTH, 14 (1), https://doi.org/10.1186/1471-2458-14-928.
    Access Status
    Open Access
    URI
    http://hdl.handle.net/11343/257862
    DOI
    10.1186/1471-2458-14-928
    Abstract
    BACKGROUND: Social and economic measures in early childhood or adolescence appear to be associated with drinking behavior in young adulthood. Yet, there has been little investigation to what extent drinking behavior of young adults changes within young adulthood when they experience changes in social and economic measures in this significant period of their life. METHODS: The impact of changes in living arrangement, education/employment, income, and deprivation on changes in average weekly alcohol units of consumption and frequency of hazardous drinking sessions per month in young adults was investigated. In total, 1,260 respondents of the New Zealand longitudinal Survey of Family, Income and Employment (SoFIE) aged 18-24 years at baseline were included. RESULTS: Young adults who moved from a family household into a single household experienced an increase of 2.32 (95% CI 1.02 to 3.63) standard drinks per week, whereas those young adults who became parents experienced a reduction in both average weekly units of alcohol (β = -3.84, 95% CI -5.44 to -2.23) and in the frequency of hazardous drinking sessions per month (β = -1.17, 95% CI -1.76 to -0.57). A one unit increase in individual deprivation in young adulthood was associated with a 0.48 (95% CI 0.10 to 0.86) unit increase in average alcohol consumption and a modest increase in the frequency of hazardous drinking sessions (β = 0.25, 95% CI 0.11 to 0.39). CONCLUSIONS: This analysis suggests that changes in living arrangement and individual deprivation are associated with changes in young adult's drinking behaviors. Alcohol harm-minimization interventions therefore need to take into account the social and economic context of young people's lives to be effective.

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