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基于年龄的有害酒精使用筛查中饮酒量和饮酒频率的差异。

Age-based differences in quantity and frequency of consumption when screening for harmful alcohol use.

机构信息

Centre for Alcohol Policy Research, La Trobe University, Bundoora, Australia.

National Drug Research Institute, Curtin University Melbourne, Australia.

出版信息

Addiction. 2022 Sep;117(9):2431-2437. doi: 10.1111/add.15904. Epub 2022 May 2.

DOI:10.1111/add.15904
PMID:35466478
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9544839/
Abstract

BACKGROUND AND AIMS

Survey questions on usual quantity and frequency of alcohol consumption are regularly used in screening tools to identify drinkers requiring intervention. The aim of this study was to measure age-based differences in quantity and frequency of alcohol consumption on the Alcohol Use Disorders Identification Test (AUDIT) and how this relates to the prediction of harmful or dependent drinking.

DESIGN

Cross-sectional survey.

SETTING

Australia.

PARTICIPANTS

Data were taken from 17 399 respondents who reported any alcohol consumption in the last year and were aged 18 and over from the 2016 National Drug Strategy Household Survey, a broadly representative cross-sectional survey on substance use.

MEASUREMENT

Respondents were asked about their frequency of consumption, usual quantity per occasion and the other items of the AUDIT.

FINDINGS

In older drinkers, quantity per occasion [β = 0.53, 95% confidence interval (CI) = 0.43, 0.64 in 43-47-year-olds as an example] was a stronger predictor of dependence than frequency per occasion (β = 0.24, 95% CI = 0.17, 0.31). In younger drinkers the reverse was true, with frequency a stronger predictor (β = 0.54, 95% CI = 0.39, 0.69 in 23-27-year-olds) than quantity (β = 0.26, 95% CI = 0.18, 0.34 in 23-27-year-olds). Frequency of consumption was not a significant predictor of dependence in respondents aged 73 years and over (β = -0.03, 95% CI = -0.08, 0.02). Similar patterns were found when predicting harmful drinking. Despite this, as frequency of consumption increased steadily with age, the question on frequency was responsible for at least 65% of AUDIT scores in drinkers aged 53 years and over.

CONCLUSIONS

In younger drinkers, frequent drinking is more strongly linked to dependence and harmful drinking subscale scores on the Alcohol Use Disorders Identification Test (AUDIT) than quantity per occasion, yet quantity per occasion has a stronger influence on the overall AUDIT score in this group. In older drinkers, frequency of consumption is not always a significant predictor of the AUDIT dependence subscale and is a weak predictor of the harmful drinking subscale.

摘要

背景与目的

在识别需要干预的饮酒者的筛查工具中,经常使用关于习惯性饮酒量和频率的调查问题。本研究的目的是测量基于年龄的酒精使用障碍识别测试(AUDIT)中饮酒量和频率的差异,以及这与有害或依赖饮酒的预测有何关系。

设计

横断面调查。

地点

澳大利亚。

参与者

数据来自 2016 年全国毒品策略家庭调查的 17399 名报告过去一年有任何饮酒行为且年龄在 18 岁及以上的应答者,该调查是一项关于物质使用的广泛代表性横断面调查。

测量

要求应答者报告他们的饮酒频率、每次的习惯性饮酒量以及 AUDIT 的其他项目。

结果

在年龄较大的饮酒者中,每次的饮酒量[β=0.53,例如 43-47 岁者的 95%置信区间(CI)为 0.43-0.64]比每次的饮酒频率(β=0.24,95%CI 为 0.17-0.31)更能预测依赖。在年轻的饮酒者中则相反,频率是一个更强的预测因素(β=0.54,例如 23-27 岁者的 95%CI 为 0.39-0.69),而不是量(β=0.26,95%CI 为 0.18-0.34)。在 73 岁及以上的应答者中,饮酒频率不是依赖的显著预测因素(β=-0.03,95%CI=-0.08,0.02)。当预测有害饮酒时,也出现了类似的模式。尽管如此,随着年龄的增长,饮酒频率稳步增加,在 53 岁及以上的饮酒者中,关于饮酒频率的问题至少占 AUDIT 评分的 65%。

结论

在年轻的饮酒者中,频繁饮酒与依赖和酒精使用障碍识别测试(AUDIT)的有害饮酒子量表评分比每次的饮酒量更紧密相关,但每次的饮酒量对该组的总体 AUDIT 评分影响更大。在年龄较大的饮酒者中,饮酒频率并不总是 AUDIT 依赖子量表的显著预测因素,对有害饮酒子量表的预测作用也较弱。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f0f4/9544839/0a6fe2fcfc79/ADD-117-2431-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f0f4/9544839/36a0547742e5/ADD-117-2431-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f0f4/9544839/f7191aefec39/ADD-117-2431-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f0f4/9544839/2c95a02a3fe8/ADD-117-2431-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f0f4/9544839/0a6fe2fcfc79/ADD-117-2431-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f0f4/9544839/36a0547742e5/ADD-117-2431-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f0f4/9544839/f7191aefec39/ADD-117-2431-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f0f4/9544839/2c95a02a3fe8/ADD-117-2431-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f0f4/9544839/0a6fe2fcfc79/ADD-117-2431-g001.jpg

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