College of Health Professions, Medical University of South Carolina, Charleston, SC, USA.
Arch Phys Med Rehabil. 2011 Mar;92(3):339-45. doi: 10.1016/j.apmr.2010.09.032.
To evaluate the association of household income and formal education with risk of mortality after spinal cord injury (SCI).
Cohort study.
Twenty hospitals designated as Model SCI Systems of care in the United States.
Adults (N=8027) with traumatic SCI, seen in one of the Model SCI Systems, who had at least 1 follow-up assessment between 1995 and 2006. All participants were at least 1 year postinjury at the time of assessment. There were 57,957 person-years and 1036 deaths. The follow-up period started with the first assessment between 1995 and 2006 and went until either the date of death or March 2009.
Not applicable.
Mortality status was determined by routine follow-up supplemented by using the Social Security Death Index. A logistic regression model was developed to estimate the chance of dying in any given year.
Educational status and income were significantly predictive of mortality after adjusting for age, sex, race, and severity of injury. Compared with those with household income of $75,000 or greater, the odds of mortality was greater for those who had income between $25,000 and $75,000 (1.61) and still higher for those with less than $25,000 a year (2.41). Life expectancy differed more as a function of household income than the economic subscale of the Craig Handicap Assessment and Reporting Technique.
There was a clear gradation in survival based on familial income (high, middle, low), not just an effect of the lowest income.
评估家庭收入和正规教育与脊髓损伤(SCI)后死亡率的关系。
队列研究。
美国 20 家指定为模范 SCI 护理系统的医院。
1995 年至 2006 年间在一家模范 SCI 护理系统中就诊的、患有创伤性 SCI 的成年人(N=8027),这些患者至少有 1 次在 1995 年至 2006 年期间进行了随访评估。所有患者在评估时均至少有 1 年的损伤后时间。共随访 57957 人年,有 1036 人死亡。随访期从 1995 年至 2006 年的首次评估开始,持续到死亡日期或 2009 年 3 月。
无。
通过常规随访和使用社会保障死亡索引确定死亡率状态。建立了一个逻辑回归模型来估计任何给定年份死亡的几率。
在调整年龄、性别、种族和损伤严重程度后,教育程度和收入状况显著预测死亡率。与家庭收入在 75000 美元或以上的患者相比,家庭收入在 25000 至 75000 美元之间的患者的死亡率几率更高(1.61),家庭收入低于 25000 美元的患者的死亡率几率更高(2.41)。预期寿命的差异更多地取决于家庭收入,而不是 Craig 残疾评估和报告技术的经济子量表。
基于家庭收入(高、中、低)存在明显的生存率梯度,而不仅仅是最低收入的影响。