Dataset Information

Migrants' Fertility in Italy: A Comparison Between Origin and Destination.

ABSTRACT: Previous research has analyzed the effect of migration on fertility, and a number of hypotheses have been developed: namely adaptation, socialization, selection, disruption and interrelation of events. Comparison among stayers in the origin countries, migrants and non-migrants in the destination country is essential to gain better understanding of the effects of migration on fertility. However, this joint comparison has been rarely conducted. We sought to fill this gap and analyze migrants' fertility in Italy. By merging different data sources for the first time, we were able to compare our target group of migrant women, respectively, born in Albania, Morocco and Ukraine with both Italian non-migrants and stayers in the country of origin. Considering the first three orders of births, multi-process hazard models were estimated in order to provide a more exhaustive and diversified scenario and to test the existing hypotheses. The results show that there is no single model of fertility for migrants in Italy. In addition, some hypotheses provide a better explanation of the fertility behavior than others do. Among women from Morocco, the socialization hypothesis tends to prevail, whereas Albanians' fertility is mostly explained in terms of adaptation. Disruption emerged as the main mechanism able to explain the fertility of migrants from Ukraine, and a clear interrelation between fertility and migration is apparent for women from Albania and Morocco, but only for the first birth.

SUBMITTER: Impicciatore R

PROVIDER: S-EPMC7492302 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Migrants' Fertility in Italy: A Comparison Between Origin and Destination.

Impicciatore Roberto R Gabrielli Giuseppe G Paterno Anna A

European journal of population = Revue europeenne de demographie 20200113 4

Previous research has analyzed the effect of migration on fertility, and a number of hypotheses have been developed: namely adaptation, socialization, selection, disruption and interrelation of events. Comparison among stayers in the origin countries, migrants and non-migrants in the destination country is essential to gain better understanding of the effects of migration on fertility. However, this joint comparison has been rarely conducted. We sought to fill this gap and analyze migrants' fert ...[more]

PMID: 32999641

Similar Datasets

Project description:The spatial dynamics of epidemics are fundamentally affected by patterns of human mobility. Mobile phone call detail records (CDRs) are a rich source of mobility data, and allow semi-mechanistic models of movement to be parameterised even for resource-poor settings. While the gravity model typically reproduces human movement reasonably well at the administrative level spatial scale, past studies suggest that parameter estimates vary with the level of spatial discretisation at which models are fitted. Given that privacy concerns usually preclude public release of very fine-scale movement data, such variation would be problematic for individual-based simulations of epidemic spread parametrised at a fine spatial scale. We therefore present new methods to fit fine-scale mathematical mobility models (here we implement variants of the gravity and radiation models) to spatially aggregated movement data and investigate how model parameter estimates vary with spatial resolution. We use gridded population data at 1km resolution to derive population counts at different spatial scales (down to ∼ 5km grids) and implement mobility models at each scale. Parameters are estimated from administrative-level flow data between overnight locations in Kenya and Namibia derived from CDRs: where the model spatial resolution exceeds that of the mobility data, we compare the flow data between a particular origin and destination with the sum of all model flows between cells that lie within those particular origin and destination administrative units. Clear evidence of over-dispersion supports the use of negative binomial instead of Poisson likelihood for count data with high values. Radiation models use fewer parameters than the gravity model and better predict trips between overnight locations for both considered countries. Results show that estimates for some parameters change between countries and with spatial resolution and highlight how imperfect flow data and spatial population distribution can influence model fit.

Project description:BackgroundThe Emergency Department (ED) can be considered an indicator of accessibility and quality and can be influenced in period of economic downturns. In the last fifteen years, the number of migrants in Italy has doubled (from 2.4 million in 2005 to 5.2 in 2019, 4.1 and 8.7% of the total population, respectively). However, evidence about migrants' healthcare use is poor, and no studies focused on the ED utilisation rate during the Great Recession are available. This study aims to analyse trends in all-cause and cause-specific ED utilisation among migrants and Italians residing in Rome, Italy, before and after 2008.MethodsLongitudinal study based on data from the Municipal Register of Rome linked to the Emergency Department Register from 2005 to 2015. We analysed 2,184,467 individuals, aged 25-64 in each year. We applied a Hurdle model to estimate the propensity to use the ED and to model how often individuals accessed the ED.ResultsMigrants were less likely to be ED users than Italians, except for Africans (RR = 1.46, 95%CI 1.40-1.52) and Latin Americans (RR = 1.04, 95%CI 1.00-1.08) who had higher all-cause utilisation rates than non-migrants. Compared to the pre-2008 period, in the post-2008 we found an increase in the likelihood of being an ED user (OR = 1.34, 95%CI 1.34-1.35), and a decrease in ED utilisation rates (RR = 0.96, 95%CI 0.96-0.97) for the whole population, with differences among migrant subgroups, regardless of cause.ConclusionsThis study shows differences in the ED utilisation between migrants and Italians, and within the migrant population, during the Great Recession. The findings may reflect differentials in the health status, and barriers to access primary and secondary care among migrants. In this regard, health policies and cuts in health spending measures may have played a key role, and interventions to tackle health and access disparities should include policy measures addressing the underlying factors, adopting a Health in All Policies perspective. Further researches focusing on specific groups of migrants, and on the causes and diagnoses related to the ED utilisation, may help to explain the differences observed.

Dataset Information

Migrants' Fertility in Italy: A Comparison Between Origin and Destination.

Publications

Migrants' Fertility in Italy: A Comparison Between Origin and Destination.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets