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Factors explaining the geographical differences in Disability Free Life Expectancy in Spain

机译:解释西班牙无残障人均寿命的地理差异的因素

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摘要

OBJECTIVE—To study the geographical variations in Disability Free Life Expectancy (DFLE) at birth (DFLEb) and at 65 years (DFLE65) in Spain and to identify the main factors that explain these variations.
DESIGN—Ecological study with the 50 provinces of Spain as the units of analysis. Sullivan's method is used to calculate DFLE for each province based on information from the death registry and the survey on disabilities, impairments and handicaps. Information on the independent variables—socioeconomic level, factors related with the health system and risk factors—was taken from various sources.
MAIN OUTCOME MEASURE—Simple correlation coefficients were obtained between each dependent variable (DFLEb and DLFE65) and the independent variables. Two multiple linear regression models were fit to obtain the best set of factors that explain the geographical distribution of DFLEb and DLFE65.
RESULTS—Both DFLEb and DLFE65 vary widely among provinces. The multiple linear regression analysis shows that the illiteracy rate, the percentage of the unemployed and the percentage of smokers in the population were the main factors associated with the geographical variation of DFLE. The models explained approximately 40% of the variance for DFLEb and 30% for DLFE65.
CONCLUSIONS—The results obtained show the influence of education, the unemployment rate and smoking on the geographical differences of DFLE. The DFLE indicators are shown to be valid for use in health policy.


>Keywords: Disability Free Life Expectancy; geographical differences
机译:目的-研究西班牙出生时(DFLEb)和65岁(DFLE65)时的残障人士平均预期寿命(DFLE)的地域差异,并找出解释这些差异的主要因素。
设计-利用分析单位为西班牙的50个省。 Sullivan的方法用于根据死亡登记处的信息以及残疾,残障和残障情况调查计算每个省的DFLE。有关自变量的信息(社会经济水平,与卫生系统有关的因素和危险因素)来自各种来源。
主要结果衡量标准-在每个因变量(DFLEb和DLFE65)与独立变量之间获得了简单的相关系数变量。拟合了两个多元线性回归模型,以获得解释DFLEb和DLFE65地理分布的最佳因素。
结果-DFLEb和DLFE65的省份差异很大。多元线性回归分析表明,人口中的文盲率,失业率和吸烟率是影响DFLE地理分布的主要因素。该模型解释了DFLEb约40%的差异,DLFE65约30%。
结论—所得结果表明教育程度,失业率和吸烟对DFLE地理差异的影响。 DFLE指标显示可以在健康政策中使用。


>关键字:无残障期望寿命;地域差异

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