Pérez de Lucas N, Gil Miguel A, Sánchez A, Rodríguez Artalejo F, Rey Calero J
Area sanitaria no 3 de Madrid, Universidad Autónoma de Madrid.
Aten Primaria. 1993 Jul-Aug;12(3):139-43.
The purpose of this study was to research the frequency and distribution of fertility in adolescence and, in looking at different environments within the Autonomous Community of Madrid (ACM), to evaluate the relationship of fertility rates to determined variables of a socio-economic, educational and demographic nature.
An observational crossover study was carried out.
Autonomous Community of Madrid.
In this study, the specific rate of fertility in adolescents (SRFA) was calculated and the correlation between the SRFA and variables of a socioeconomic, educational and demographic nature were analysed by means of the multiple linear regression method.
We found important differences in the distribution of fertility within the ACM. There was also a positive correlation (p < 0.05) between the SRFA and those variables which expressed the percentages of illiteracy, industrial workers and with the synthetic youth index. A negative correlation (p < 0.05) was found for the percentages of graduates, professionals and technicians, managers and directors and with the synthetic ageing index. We found no correlation with the unemployment index. On applying the multivariant model, the variable that weighed most on fertility was the level of education, which was in our case measured by the percentage of illiteracy.
We found an uneven spread of adolescents' fertility rates in the Autonomous Community of Madrid. The fertility rates were higher in those boroughs where there was more illiteracy.
本研究旨在调查青少年生育的频率和分布情况,并通过观察马德里自治区(ACM)内的不同环境,评估生育率与社会经济、教育和人口性质的特定变量之间的关系。
进行了一项观察性交叉研究。
马德里自治区。
在本研究中,计算了青少年的特定生育率(SRFA),并采用多元线性回归方法分析了SRFA与社会经济、教育和人口性质变量之间的相关性。
我们发现ACM内生育分布存在重要差异。SRFA与表示文盲率、产业工人百分比以及综合青年指数的变量之间也存在正相关(p < 0.05)。对于毕业生、专业人员和技术人员、经理和董事的百分比以及综合老龄化指数,发现存在负相关(p < 0.05)。我们发现与失业指数无相关性。应用多变量模型时,对生育率影响最大的变量是教育水平,在我们的研究中以文盲率百分比来衡量。
我们发现马德里自治区青少年生育率分布不均。在文盲率较高的行政区,生育率更高。