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选定的社会因素与全因死亡率之间的关系。

Relationship between selected social factors and all-cause mortality.

作者信息

Hu Guizhou, Duncan Ashlee W

机构信息

Guizhou Hu, BioSignia, Inc, 1822 East NC Hwy 54, Suite 350, Durham, NC 27713, USA.

出版信息

J Insur Med. 2012;43(3):154-61.

PMID:23451616
Abstract

OBJECTIVE

Evaluate the associations between several simple-to-measure social factors and all-cause mortality to determine whether selected social factors contribute useful mortality information.

METHOD

Using the Third National Health and Nutritional Examination Survey (NHANES III) and the current NHANES III Linked Mortality File datasets, associations were evaluated among 18,460 survey participants at least 20 years of age, with 5408 deaths occurring during the 280,183 person-year follow-up. Selected social factors, including education level, current employment status, and frequency of interpersonal contact with friends/relatives, were analyzed using a Cox proportional hazard model, and the impact of the selected social factors on mortality was expressed as a hazard ratio. Associations were modeled adjusting for age and gender only and also in a multivariate regression analysis; furthermore, associations were evaluated when stratified by duration of follow up.

RESULTS

In a multivariate Cox model, independent hazard ratios for higher education, being employed, being married, frequent phone conversations with friends, frequent visits with friends or relatives, frequent church attendance, and participation in a social group ranged between 0.56 and 0.99. All corresponding 95% confidence intervals exclude 1. Many of the associations between social factors and mortality were stronger at shorter follow-up durations.

CONCLUSION

Several easy-to-measure social factors were shown to be significantly and independently associated with all-cause mortality.

摘要

目的

评估几种易于测量的社会因素与全因死亡率之间的关联,以确定所选社会因素是否能提供有用的死亡率信息。

方法

使用第三次全国健康和营养检查调查(NHANES III)以及当前的NHANES III关联死亡率文件数据集,对18460名至少20岁的调查参与者进行关联评估,在280183人年的随访期间有5408人死亡。使用Cox比例风险模型分析所选社会因素,包括教育水平、当前就业状况以及与朋友/亲戚的人际接触频率,并将所选社会因素对死亡率的影响表示为风险比。仅对年龄和性别进行调整以及在多变量回归分析中对关联进行建模;此外,在按随访持续时间分层时评估关联。

结果

在多变量Cox模型中,高等教育、就业、已婚、与朋友频繁电话交谈、频繁拜访朋友或亲戚、频繁参加教堂活动以及参与社会群体的独立风险比在0.56至0.99之间。所有相应的95%置信区间均不包括1。社会因素与死亡率之间的许多关联在较短随访期时更强。

结论

几种易于测量的社会因素被证明与全因死亡率显著且独立相关。

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