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本文引用的文献

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Global burden of 87 risk factors in 204 countries and territories, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019.204 个国家和地区 1990-2019 年 87 种风险因素的全球负担:2019 年全球疾病负担研究的系统分析。
Lancet. 2020 Oct 17;396(10258):1223-1249. doi: 10.1016/S0140-6736(20)30752-2.
2
Birth cohort trends in the global epidemiology of alcohol use and alcohol-related harms in men and women: systematic review and metaregression.全球男性和女性饮酒及酒精相关危害流行病学中的出生队列趋势:系统评价与元回归分析
BMJ Open. 2016 Oct 24;6(10):e011827. doi: 10.1136/bmjopen-2016-011827.
3
Gender differences in the impact of population-level alcohol policy interventions: evidence synthesis of systematic reviews.人群层面酒精政策干预措施影响中的性别差异:系统评价的证据综合
Addiction. 2016 Oct;111(10):1735-47. doi: 10.1111/add.13452. Epub 2016 Jul 8.
4
Estimated Effects of Different Alcohol Taxation and Price Policies on Health Inequalities: A Mathematical Modelling Study.不同酒精税和价格政策对健康不平等的估计影响:一项数学建模研究
PLoS Med. 2016 Feb 23;13(2):e1001963. doi: 10.1371/journal.pmed.1001963. eCollection 2016 Feb.
5
Developing policy analytics for public health strategy and decisions-the Sheffield alcohol policy model framework.为公共卫生战略与决策制定政策分析——谢菲尔德酒精政策模型框架
Ann Oper Res. 2016;236(1):149-176. doi: 10.1007/s10479-013-1451-z. Epub 2013 Oct 8.
6
Potential benefits of minimum unit pricing for alcohol versus a ban on below cost selling in England 2014: modelling study.2014年英格兰酒精饮料最低限价与禁止低于成本销售的潜在效益比较:建模研究
BMJ. 2014 Sep 30;349:g5452. doi: 10.1136/bmj.g5452.
7
The Sheffield Alcohol Policy Model - A Mathematical Description.谢菲尔德酒精政策模型——一种数学描述。
Health Econ. 2015 Oct;24(10):1368-1388. doi: 10.1002/hec.3105. Epub 2014 Sep 30.
8
Alcohol tax pass-through across the product and price range: do retailers treat cheap alcohol differently?酒精税在不同产品和价格区间的转嫁:零售商对低价酒精的处理方式是否不同?
Addiction. 2014 Dec;109(12):1994-2002. doi: 10.1111/add.12590. Epub 2014 Jun 24.
9
Alcohol use disorder in women: Risks and consequences of an adolescent onset and persistent course.女性酒精使用障碍:青少年起病及持续病程的风险与后果
Psychol Addict Behav. 2014 Jun;28(2):322-35. doi: 10.1037/a0035488.
10
Effects of minimum unit pricing for alcohol on different income and socioeconomic groups: a modelling study.酒精最低单位定价对不同收入和社会经济群体的影响:建模研究。
Lancet. 2014 May 10;383(9929):1655-1664. doi: 10.1016/S0140-6736(13)62417-4. Epub 2014 Feb 10.

酒精政策与性别:一项建模研究,旨在估计酒精定价政策对性别特定的影响。

Alcohol policy and gender: a modelling study estimating gender-specific effects of alcohol pricing policies.

机构信息

MRC/CSO Social and Public Health Sciences Unit, University of Glasgow, Glasgow, UK.

Sheffield Alcohol Research Group, School of Health and Related Research (ScHARR), University of Sheffield, UK.

出版信息

Addiction. 2021 Sep;116(9):2372-2384. doi: 10.1111/add.15464. Epub 2021 Mar 9.

DOI:10.1111/add.15464
PMID:33651444
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7611454/
Abstract

AIMS

To describe gender differences in alcohol consumption, purchasing preferences and alcohol-attributable harm. To model the effects of alcohol pricing policies on male and female consumption and hospitalizations.

DESIGN

Epidemiological simulation using the Sheffield Alcohol Policy Model version 4.

SETTING AND PARTICIPANTS

Adults aged 18+ years, England.

INTERVENTIONS

Three alcohol pricing policies: 10% duty increase and minimum unit prices (MUP) of £0.50 and £0.70 per UK unit.

MEASURES

Gender-specific baseline and key outcomes data: annual beverage-specific units of alcohol consumed and beverage-specific alcohol expenditure (household surveys). Alcohol-attributable hospital admissions (administrative data). Key model parameters: literature-based own- and cross-price elasticities for 10 beverage-by-location categories (e.g. off-trade beer). Sensitivity analysis with new gender-specific elasticities. Literature-based risk functions linking consumption and harm, gender-disaggregated where evidence was available. Population subgroups: 120 subgroups defined by gender (primary focus), age, deprivation quintile and baseline weekly consumption.

FINDINGS

Women consumed 59.7% of their alcohol as off-trade wine while men consumed 49.7% as beer. Women drinkers consumed fewer units annually than men (494 versus 895) and a smaller proportion of women were high-risk drinkers (4.8 versus 7.2%). Moderate drinking women had lower hospital admission rates than men (44 versus 547 per 100 000), but rates were similar for high-risk drinking women and men (14 294 versus 13 167 per 100 000). All three policies led to larger estimated reductions in consumption and admission rates among men than women. For example, a £0.50 MUP led to a 5.3% reduction in consumption and a 4.1% reduction in admissions for men but a 0.7% reduction in consumption and a 1.6% reduction in hospitalizations for women.

CONCLUSION

Alcohol consumption, purchasing preferences and harm show strong gender patterns among adult drinkers in England. Alcohol pricing policies are estimated to be more effective at reducing consumption and harm for men than women.

摘要

目的

描述饮酒、购买偏好和与酒精相关的危害方面的性别差异。构建酒精定价政策对男性和女性饮酒量和住院人数影响的模型。

设计

使用谢菲尔德酒精政策模型第 4 版进行流行病学模拟。

设置和参与者

年龄在 18 岁及以上的英格兰成年人。

干预措施

三种酒精定价政策:提高 10%的关税和每英国单位 0.50 英镑和 0.70 英镑的最低单位价格(MUP)。

措施

按性别划分的基线和关键结果数据:每年饮用的特定饮料的酒精单位数和特定饮料的酒精支出(家庭调查)。与酒精相关的住院人数(行政数据)。关键模型参数:10 种饮料-地点类别(例如,场外啤酒)的基于文献的自有价格和交叉价格弹性。使用新的按性别划分的弹性进行敏感性分析。根据可用证据将与消费和危害相关的风险函数进行性别细分。人口亚组:按性别(主要重点)、年龄、贫困五分位数和基线每周消费划分的 120 个亚组。

结果

女性消费的酒精中有 59.7%来自场外葡萄酒,而男性消费的酒精中有 49.7%来自啤酒。女性饮酒者每年的饮酒量少于男性(494 比 895),而且女性中高风险饮酒者的比例较小(4.8 比 7.2%)。中度饮酒的女性的住院率低于男性(每 10 万人中有 44 比 547 人),但高风险饮酒的女性和男性的住院率相似(每 10 万人中有 14294 比 13167 人)。所有三种政策都导致男性的饮酒量和入院率的估计降幅大于女性。例如,MUP 提高 0.50 英镑导致男性的饮酒量减少 5.3%,入院人数减少 4.1%,而女性的饮酒量减少 0.7%,住院人数减少 1.6%。

结论

在英格兰的成年饮酒者中,饮酒、购买偏好和危害表现出强烈的性别模式。酒精定价政策对男性的饮酒量和危害的影响估计比对女性更有效。