Literature DB >> 21402452

Estimating older hazardous and binge drinking prevalence using AUDIT-C and AUDIT-3 thresholds specific to older adults.

Andy Towers1, Christine Stephens, Patrick Dulin, Marylynne Kostick, Jack Noone, Fiona Alpass.   

Abstract

BACKGROUND: This study aimed to provide hazardous and binge drinking prevalence, odds and risk attributable to specific demographic correlates in community dwelling older adults using both the standard and new older-specific AUDIT-C thresholds.
METHODS: Hazardous drinking was assessed using the AUDIT-C in a cross-sectional postal survey of 6662 New Zealanders aged 55-70 years old (m=60.94, SD=4.70) randomly selected from the New Zealand Electoral Roll. Prevalence data is presented for whole sample and stratified by key demographic correlates using standard and older-specific threshold scores on the AUDIT-C. Hazardous drinking prevalence using the standard AUDIT-C threshold was 56.01%, as compared to 42.28% and 50.20% under two older-specific thresholds.
RESULTS: Being younger, male, and wealthy were consistent drinking predictors across thresholds but the older-specific thresholds substantially altered the prevalence and risk for females, Asians, and poorer people. Past-month binge prevalence of 18.18% was considerably lower than the past-year prevalence of 33.51%, but change from past-month to past-year binge threshold had no significant effect on the demographic composition of binge drinkers. The standard AUDIT-C threshold over-estimates hazardous drinking prevalence in older adults by up to 33%, but even the most conservative rates in this study are cause for concern regarding the level of drinking by older people in New Zealand.
CONCLUSION: Older hazardous drinkers are predominantly younger, wealthier, white, partnered males, whichever threshold is used, but binge drinkers are more likely to be rural, Māori, and lack tertiary education. Further efforts are needed to determine factors underpinning hazardous drinking, especially in older Māori.
Copyright © 2011 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Mesh:

Substances:

Year:  2011        PMID: 21402452     DOI: 10.1016/j.drugalcdep.2011.02.008

Source DB:  PubMed          Journal:  Drug Alcohol Depend        ISSN: 0376-8716            Impact factor:   4.492


  8 in total

1.  Problem alcohol use among problem drug users: development and content of clinical guidelines for general practice.

Authors:  J Klimas; W Cullen; C-A Field
Journal:  Ir J Med Sci       Date:  2013-07-03       Impact factor: 1.568

2.  The role of gender in the associations among posttraumatic stress disorder symptom, severity, difficulties regulating emotions, and alcohol misuse.

Authors:  Svetlana Goncharenko; Nicole H Weiss; Ateka A Contractor; Katherine L Dixon-Gordon; Shannon R Forkus
Journal:  Addict Behav       Date:  2019-08-10       Impact factor: 3.913

3.  Malnutrition Risk: Four Year Outcomes from the Health, Work and Retirement Study 2014 to 2018.

Authors:  Carol Wham; Jade Curnow; Andy Towers
Journal:  Nutrients       Date:  2022-05-26       Impact factor: 6.706

4.  Hazardous Drinking Prevalence and Correlates in Older New Zealanders: A Comparison of the AUDIT-C and the CARET.

Authors:  Andy Towers; Ágnes Szabó; David A L Newcombe; Janie Sheridan; Allison A Moore; Martin Hyde; Annie Britton; Priscilla Martinez; Nadia Minicuci; Paul Kowal; Thomas Clausen; Christine L Savage
Journal:  J Aging Health       Date:  2018-08-27

5.  Problem drinking and associated factors in older adults in South Africa.

Authors:  K Peltzer; N Phaswana-Mafuya
Journal:  Afr J Psychiatry (Johannesbg)       Date:  2013-03

6.  The changing alcohol drinking patterns among older adults show that women are closing the gender gap in more frequent drinking: the Tromsø study, 1994-2016.

Authors:  Line Tegner Stelander; Anne Høye; Jørgen G Bramness; Geir Selbæk; Linn-Heidi Lunde; Rolf Wynn; Ole Kristian Grønli
Journal:  Subst Abuse Treat Prev Policy       Date:  2021-05-26

7.  Typical patterns of modifiable health risk factors (MHRFs) in elderly women in Germany: results from the cross-sectional German Health Update (GEDA) study, 2009 and 2010.

Authors:  Franziska Jentsch; Jennifer Allen; Judith Fuchs; Elena von der Lippe
Journal:  BMC Womens Health       Date:  2017-04-04       Impact factor: 2.809

8.  Sex differences in at-risk drinking and associated factors-a cross-sectional study of 8,616 community-dwelling adults 60 years and older: the Tromsø study, 2015-16.

Authors:  Line Tegner Stelander; Anne Høye; Jørgen G Bramness; Rolf Wynn; Ole Kristian Grønli
Journal:  BMC Geriatr       Date:  2022-03-01       Impact factor: 3.921

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.