Agència de Salut Pública de Barcelona, Barcelona, Spain.
Universitat Pompeu Fabra, Plaça Lesseps, 1. 08023, Barcelona, Spain.
Matern Child Health J. 2020 Mar;24(3):267-274. doi: 10.1007/s10995-020-02875-w.
Reproductive health inequalities tend to be more marked in large cities because they include neighbourhoods with unequal social and community networks, resources and opportunities. The aim was to describe social inequalities in fertility patterns among women who gave birth between 2007 and 2016 in the city of Barcelona (Spain) by jointly evaluating the effect of individual and socioeconomic neighbourhood characteristics.
We conducted a multilevel study of women's individual characteristics (age, educational attainment, and country of origin) and neighbourhood characteristics (disposable household income, percentage of unemployment and percentage of foreigners).
Multilevel modelling revealed significant variability in fertility across neighbourhoods after adjustment for individual explanatory variables. The fertility rate (FR) was higher in better educated women (adjusted relative risk: aRR 2.76), those aged 30-39 years (aRR 2.13), and in those born in Spain in relation to their respective reference groups. The FR was lowest in women with upper to post-secondary, non-tertiary education (aRR 0.86) who were born in high income countries (aRR 0.57). Women living in neighbourhoods with a low income (aRR 1.46) and with a higher unemployment (aRR 1.33) were more likely to have children. In contrast, women living in neighbourhoods with a lower percentage of foreigners had the lowest FR (aRR 0.81).
The neighbourhood's characteristics played an important role in fertility patterns, independently of women's individual characteristics. At the contextual level, the highest FR was found in the poorest settings, highlighting inequalities. At the individual level, the FR was highest among women with higher education and in their thirties.
生殖健康不平等在大城市更为明显,因为这些城市包含社会和社区网络、资源和机会不平等的社区。目的是描述 2007 年至 2016 年期间在巴塞罗那市(西班牙)生育的妇女的生育模式中的社会不平等,方法是联合评估个体和社会经济社区特征的影响。
我们对妇女的个体特征(年龄、教育程度和原籍国)和社区特征(家庭可支配收入、失业率和外国人比例)进行了多层次研究。
调整个体解释变量后,多层次模型显示社区间生育存在显著差异。受过更好教育的妇女(调整后的相对风险:aRR2.76)、30-39 岁的妇女(aRR2.13)以及与各自参考组相比出生在西班牙的妇女生育率更高。接受过高等教育或中学后非高等教育(aRR0.86)且出生在高收入国家(aRR0.57)的妇女生育率最低。居住在收入较低(aRR1.46)和失业率较高(aRR1.33)社区的妇女更有可能生育。相比之下,居住在外国人口比例较低社区的妇女生育率最低(aRR0.81)。
社区特征在生育模式中起着重要作用,独立于妇女的个体特征。在背景层面,最贫穷的环境生育率最高,突显了不平等现象。在个体层面,教育程度最高的三十多岁妇女生育率最高。