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使用基于人群的持续监测系统评估饮酒与其他风险因素之间的关系。

The Relationship between Alcohol Consumption and other Risk Factors Assessed Using An Ongoing Population-based Surveillance System.

作者信息

Taylor Anne W, Shi Zumin, Dal Grande Eleonora, Stockley Creina

机构信息

Population Research & Outcome Studies, Discipline of Medicine, The University of Adelaide, South Australia, Australia.

Population Research & Outcome Studies, The Univeristy of Adealide, South Australia, Australia.

出版信息

AIMS Public Health. 2016 Dec 1;3(4):985-1002. doi: 10.3934/publichealth.2016.4.985. eCollection 2016.

DOI:10.3934/publichealth.2016.4.985
PMID:29546207
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5690417/
Abstract

The aim of this study was to determine the relationship of alcohol consumption (reported in four different ways) with other specific disease-related risk factors (that is, smoking, high body mass index, low physical activity and insufficient fruit and vegetables). Data were collected from 2003 to 2015 in South Australia using an on-going monthly chronic disease and risk factor telephone survey of randomly selected persons (18+ years). The proportion of alcohol drinkers and, for those who drank alcohol, the proportion drinking more than one day per week, the proportion drinking on six or more days per week, and the mean alcohol drinks per day were assessed. Logistic regression and linear regression modelling were used on age and sex adjusted data. In total, over 71,000 respondents aged 18 years and older were interviewed (48.8% male). Overall prevalence of alcohol consumption was 81.3%. Trends in the direction promoted by current policies and preventative authorities were apparent with appropriate changes for all four measures for overall and for those underweight, undertaking sufficient activity, consuming <2 serves of fruit per day, consuming <5 serves of vegetables per day and with 3+ total risk factors. This research has provided evidence on the trends in alcohol consumption in relation to a range of other specific modifiable disease-related risk factors. The trends analysis has shown different patterns for each risk factor, and highlights the interplay between the respective modifiable or preventive risk factors.

摘要

本研究的目的是确定饮酒量(以四种不同方式报告)与其他特定疾病相关风险因素(即吸烟、高体重指数、低体力活动以及水果和蔬菜摄入量不足)之间的关系。2003年至2015年期间,在南澳大利亚州通过对随机抽取的18岁及以上人群进行的月度慢性病和风险因素电话调查持续收集数据。评估了饮酒者的比例,对于饮酒者,评估了每周饮酒超过一天的比例、每周饮酒六天或更多天的比例以及每天的平均饮酒量。对年龄和性别调整后的数据进行了逻辑回归和线性回归建模。总共采访了71000多名18岁及以上的受访者(男性占48.8%)。饮酒的总体患病率为81.3%。在总体人群以及体重过轻、进行足够活动、每天水果摄入量<2份、每天蔬菜摄入量<5份以及总风险因素为3个及以上的人群中,所有四项指标都有适当变化,呈现出当前政策和预防机构所倡导方向的趋势。这项研究提供了与一系列其他特定可改变的疾病相关风险因素有关的饮酒趋势证据。趋势分析显示了每个风险因素的不同模式,并突出了各自可改变或预防性风险因素之间的相互作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c9a5/5690417/b04053fc0c2d/publichealth-03-04-985-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c9a5/5690417/c8d60c66b852/publichealth-03-04-985-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c9a5/5690417/0ee855a41c36/publichealth-03-04-985-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c9a5/5690417/5983892547c5/publichealth-03-04-985-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c9a5/5690417/b04053fc0c2d/publichealth-03-04-985-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c9a5/5690417/c8d60c66b852/publichealth-03-04-985-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c9a5/5690417/0ee855a41c36/publichealth-03-04-985-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c9a5/5690417/5983892547c5/publichealth-03-04-985-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c9a5/5690417/b04053fc0c2d/publichealth-03-04-985-g004.jpg

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本文引用的文献

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