View in EDS HTML Full Text PDF Full Text

Age, period and cohort effects on alcohol‐related risky behaviours in Australia from 2001 to 2016.

Saved in:
Bibliographic Details
Title: Age, period and cohort effects on alcohol‐related risky behaviours in Australia from 2001 to 2016.
Authors: Yuen, Wing See, Peacock, Amy, Man, Nicola, Callinan, Sarah, Slade, Tim, Farrell, Michael, Mattick, Richard, Livingston, Michael
Source: Addiction. Mar2023, Vol. 118 Issue 3, p438-448. 11p. 2 Charts, 5 Graphs.
Subjects: Risk-taking behavior, Confidence intervals, Age distribution, Cross-sectional method, Sex distribution, Alcohol drinking, Automobile driving, Descriptive statistics, Longitudinal method
Geographic Terms: Australia
Abstract: Aims: The aim of this study is to examine age, period and birth cohort trends in the prevalence of any alcohol‐related risky behaviour and to compare these trends between men and women. Design and setting: We used an age–period–cohort analysis of repeated cross‐sectional survey data from the Australian National Drug Strategy Household Survey from 2001 to 2016. Participants: Participants were 121 281 people aged 14–80 years who reported consuming alcohol in the past 12 months. Measurements: Any risky behaviour undertaken while under the influence of alcohol in the past 12 months (e.g. operating a motor vehicle) was measured: male or female. Findings Controlling for age and cohort, cubic spline models showed that any alcohol‐related risky behaviour declined with time among participants who consumed alcohol [2016 versus 2007 rate ratio (RR) = 0.80, 95% confidence interval (CI) = 0.76–0.84]. Risky behaviour peaked in the 1954 birth cohort (1954 versus 1971 RR = 1.42, 95% CI = 1.30–1.55) and then steadily declined with more recent birth cohorts (2002 versus 1971 RR = 0.32, 95% CI = 0.27–0.39). Risky behaviour peaked at age 21 years, followed by steady decline and stabilization at approximately age 70 years. Males were overall twice as likely as females to report alcohol‐related risky behaviour (RR = 2.10, 95% CI = 1.84–2.39), but this effect was smaller in cohorts born after 1980 [1980 prevalence rate ratios (PRR) = 2.09, 95% CI = 1.81–2.43; 2002 PRR = 1.31, 95% CI = 1.03–1.68]. Conclusions: Alcohol‐related risky behaviour in Australia has declined generally since 2001, with rates for recent cohorts having the sharpest decline. Risky behaviour remains most prevalent in young adults, and the male–female gap in risky behaviour is closing for more recent birth cohorts. These trends are consistent with alcohol consumption trends observed in Australia and world‐wide. [ABSTRACT FROM AUTHOR]
Copyright of Addiction is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: pbh
DbLabel: Psychology and Behavioral Sciences Collection
An: 161657728
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Age, period and cohort effects on alcohol‐related risky behaviours in Australia from 2001 to 2016.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Yuen%2C+Wing+See%22">Yuen, Wing See</searchLink><br /><searchLink fieldCode="AR" term="%22Peacock%2C+Amy%22">Peacock, Amy</searchLink><br /><searchLink fieldCode="AR" term="%22Man%2C+Nicola%22">Man, Nicola</searchLink><br /><searchLink fieldCode="AR" term="%22Callinan%2C+Sarah%22">Callinan, Sarah</searchLink><br /><searchLink fieldCode="AR" term="%22Slade%2C+Tim%22">Slade, Tim</searchLink><br /><searchLink fieldCode="AR" term="%22Farrell%2C+Michael%22">Farrell, Michael</searchLink><br /><searchLink fieldCode="AR" term="%22Mattick%2C+Richard%22">Mattick, Richard</searchLink><br /><searchLink fieldCode="AR" term="%22Livingston%2C+Michael%22">Livingston, Michael</searchLink>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Addiction%22">Addiction</searchLink>. Mar2023, Vol. 118 Issue 3, p438-448. 11p. 2 Charts, 5 Graphs.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Risk-taking+behavior%22">Risk-taking behavior</searchLink><br /><searchLink fieldCode="DE" term="%22Confidence+intervals%22">Confidence intervals</searchLink><br /><searchLink fieldCode="DE" term="%22Age+distribution%22">Age distribution</searchLink><br /><searchLink fieldCode="DE" term="%22Cross-sectional+method%22">Cross-sectional method</searchLink><br /><searchLink fieldCode="DE" term="%22Sex+distribution%22">Sex distribution</searchLink><br /><searchLink fieldCode="DE" term="%22Alcohol+drinking%22">Alcohol drinking</searchLink><br /><searchLink fieldCode="DE" term="%22Automobile+driving%22">Automobile driving</searchLink><br /><searchLink fieldCode="DE" term="%22Descriptive+statistics%22">Descriptive statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Longitudinal+method%22">Longitudinal method</searchLink>
– Name: SubjectGeographic
  Label: Geographic Terms
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Australia%22">Australia</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Aims: The aim of this study is to examine age, period and birth cohort trends in the prevalence of any alcohol‐related risky behaviour and to compare these trends between men and women. Design and setting: We used an age–period–cohort analysis of repeated cross‐sectional survey data from the Australian National Drug Strategy Household Survey from 2001 to 2016. Participants: Participants were 121 281 people aged 14–80 years who reported consuming alcohol in the past 12 months. Measurements: Any risky behaviour undertaken while under the influence of alcohol in the past 12 months (e.g. operating a motor vehicle) was measured: male or female. Findings Controlling for age and cohort, cubic spline models showed that any alcohol‐related risky behaviour declined with time among participants who consumed alcohol [2016 versus 2007 rate ratio (RR) = 0.80, 95% confidence interval (CI) = 0.76–0.84]. Risky behaviour peaked in the 1954 birth cohort (1954 versus 1971 RR = 1.42, 95% CI = 1.30–1.55) and then steadily declined with more recent birth cohorts (2002 versus 1971 RR = 0.32, 95% CI = 0.27–0.39). Risky behaviour peaked at age 21 years, followed by steady decline and stabilization at approximately age 70 years. Males were overall twice as likely as females to report alcohol‐related risky behaviour (RR = 2.10, 95% CI = 1.84–2.39), but this effect was smaller in cohorts born after 1980 [1980 prevalence rate ratios (PRR) = 2.09, 95% CI = 1.81–2.43; 2002 PRR = 1.31, 95% CI = 1.03–1.68]. Conclusions: Alcohol‐related risky behaviour in Australia has declined generally since 2001, with rates for recent cohorts having the sharpest decline. Risky behaviour remains most prevalent in young adults, and the male–female gap in risky behaviour is closing for more recent birth cohorts. These trends are consistent with alcohol consumption trends observed in Australia and world‐wide. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Addiction is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=pbh&AN=161657728
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1111/add.16061
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 11
        StartPage: 438
    Subjects:
      – SubjectFull: Risk-taking behavior
        Type: general
      – SubjectFull: Confidence intervals
        Type: general
      – SubjectFull: Age distribution
        Type: general
      – SubjectFull: Cross-sectional method
        Type: general
      – SubjectFull: Sex distribution
        Type: general
      – SubjectFull: Alcohol drinking
        Type: general
      – SubjectFull: Automobile driving
        Type: general
      – SubjectFull: Descriptive statistics
        Type: general
      – SubjectFull: Longitudinal method
        Type: general
      – SubjectFull: Australia
        Type: general
    Titles:
      – TitleFull: Age, period and cohort effects on alcohol‐related risky behaviours in Australia from 2001 to 2016.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Yuen, Wing See
      – PersonEntity:
          Name:
            NameFull: Peacock, Amy
      – PersonEntity:
          Name:
            NameFull: Man, Nicola
      – PersonEntity:
          Name:
            NameFull: Callinan, Sarah
      – PersonEntity:
          Name:
            NameFull: Slade, Tim
      – PersonEntity:
          Name:
            NameFull: Farrell, Michael
      – PersonEntity:
          Name:
            NameFull: Mattick, Richard
      – PersonEntity:
          Name:
            NameFull: Livingston, Michael
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 03
              Text: Mar2023
              Type: published
              Y: 2023
          Identifiers:
            – Type: issn-print
              Value: 09652140
          Numbering:
            – Type: volume
              Value: 118
            – Type: issue
              Value: 3
          Titles:
            – TitleFull: Addiction
              Type: main
ResultId 1