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14个欧洲国家的人均酒精消费量与全因死亡率

Per capita alcohol consumption and all-cause mortality in 14 European countries.

作者信息

Norström T

机构信息

Swedish Institute for Social Research, Stockholm University, S-106 91 Stockholm, Sweden.

出版信息

Addiction. 2001 Feb;96 Suppl 1:S113-28. doi: 10.1080/09652140020021215.

Abstract

AIMS

(1) To estimate the relationship between per capita alcohol consumption and male all-cause mortality in 14 European countries. (2) To compare the estimates with predictions from the U-shaped curve at the aggregate level.

DATA AND METHOD

The outcome measures comprised annual data, after 1950, on male mortality (all-cause mortality and mortality from diseases) for the following age groups: 15+, 15-29, 30-49, 50-69 and 70+ years. Female mortality was included as a control variable. Alcohol sales were used as proxy for per capita consumption. The data were analysed using the Box-Jenkins technique. The estimated alcohol effects were pooled within low-, medium- and high-consumption countries.

RESULTS

For all-cause mortality (15+), the effect estimates were significantly positive in eight of the 14 countries. The effect on mortality of a 1-litre increase in consumption tended to be stronger in low-consumption countries (3% per litre) than in medium- and high-consumption countries (1%). This pattern deviates from that predicted from the U-shaped curve. No significant impact of alcohol was found in the youngest age group when mortality from diseases was used as the outcome.

CONCLUSIONS

Increases in overall consumption seem to be associated with increases in total mortality. Differences in drinking patterns are discussed as a possible explanation for the variation between country groups in alcohol effect.

摘要

目的

(1)评估14个欧洲国家人均酒精消费量与男性全因死亡率之间的关系。(2)在总体水平上,将评估结果与U型曲线的预测结果进行比较。

数据与方法

结果指标包括1950年后以下年龄组男性死亡率(全因死亡率和疾病死亡率)的年度数据:15岁及以上、15 - 29岁、30 - 49岁、50 - 69岁和70岁及以上。女性死亡率作为控制变量纳入。酒精销售额用作人均消费量的替代指标。使用Box-Jenkins技术对数据进行分析。在低、中、高消费国家对估计的酒精影响进行汇总。

结果

对于全因死亡率(15岁及以上),在14个国家中有8个国家的影响估计值显著为正。消费量每增加1升,低消费国家对死亡率的影响(每升3%)往往比中、高消费国家(每升1%)更强。这种模式与U型曲线的预测结果不同。当以疾病死亡率作为结果时,在最年轻的年龄组中未发现酒精有显著影响。

结论

总体消费量的增加似乎与总死亡率的增加有关。饮酒模式的差异被讨论为不同国家组酒精影响存在差异的一个可能解释。

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