Cardiovascular mortality focusing on socio-economic influence:: the low-risk population of Halland compared to the population of Sweden as a whole

Cardiovascular mortality focusing on socio-economic influence:: the low-risk population of Halland compared to the population of Sweden as a whole
复制标题

DOI:
10.1038/sj.ph.1900877
复制
发表时间:
2002-09-01
期刊:
影响因子:
5.2
通讯作者:
Odén, A
Odén, A
中科院分区:
医学3区
文献类型:
--
作者:
Baigi, A;Fridlund, B;Odén, A

文献摘要

被引文献

相似文献

本研究的目的是调查瑞典心血管疾病 (CVD) 死亡率与社会经济地位 (SES) 之间的关系,并估计死亡率较低的省份与瑞典其他地区之间的差异在多大程度上取决于社会经济因素。 采用历史前瞻性方法对瑞典哈兰省以及整个瑞典进行了一项基于人口的回顾性研究,涵盖了 10 年来的情况。根据 SES 的分布,共有 1654 744 名男性和 1592 467 名女性被纳入其中,其中 45 394 名男性和 43 403 名女性来自哈兰省。使用泊松回归的多变量分析。计算了 95% 置信区间的相对风险。在整个瑞典,社会经济地位较低的男性和女性死于心血管疾病的风险显着较高。与白领相比,男性蓝领工人的风险高出 23%,女性蓝领工人的风险高出 44%。仅考虑年龄因素时,哈兰省的死亡率比全国低 14%。如果将社会经济变量也包括在内,这一数字为8%。结果表明,社会差异对心血管疾病死亡率具有重大意义。当地理条件不受社会经济影响时,社会经济地位的影响似乎比地理条件的影响更重要。
The aim of the study was to investigate the relationship between mortality from cardiovascular diseases (CVD) and socioeconomic status (SES) in Sweden and to estimate to what extent the difference between a province with low mortality and the rest of Sweden was dependent on socio-economic factors.A population-based retrospective study with a historical prospective approach was performed covering a 10-y period in the province of Halland, Sweden, as well as Sweden as a whole. Altogether 1654 744 men and 1592 467 women were included, of whom 45 394 men and 43 403 women were from Halland, distributed according to SES. Multivariate analysis with Poisson regression was used. Relative risks with 95% confidence intervals were calculated. Both men and women with a low SES showed a significantly higher risk of death from CVD in Sweden as a whole. The risk was 23% higher for male blue-collar workers and 44% higher for female blue-collar workers when compared to their white-collar counterparts. The level of mortality in Halland was 14% lower compared to the country as a whole when only age was taken into account. When the socio-economic variable was also included, this figure was 8%. The results show the substantial significance of social differences with respect to CVD mortality. The effect of SES seems to be more important than that of geographical conditions when the latter are isolated from socio-economic influence.