Women's migration to cities.

This study investigates the consequences of female rural-urban migration with respect to their education, career, and relationship and family formation in the Netherlands. The study is based on four birth cohorts of Dutch women born in 1970-1973 in rural areas, comparing those who had migrated to urban areas before the age of 25 with those who had remained behind. Outcomes were measured at age 42. The data were derived from administrative registers available at Statistics Netherlands. The results show that female migration to cities served to increase women's resources: they were more often university educated and had better paid jobs, in line with the idea of cities as socioeconomic escalators. The city also functioned as a relationship market with a relative abundance of men with resources. Both lower and university educated city women were more likely to be in a relationship with a highly educated man compared to their rural peers. However, lower educated women had an increased probability of being single at age 42 when they lived in cities at age 25. This was not the case for university educated women. In conclusion, for lower educated women urban migration may entail risks as well as benefits, especially with respect to family formation. University educated women on the other hand benefited both in terms of their own socioeconomic outcomes and in terms of their partners' resources.

Mechanisms explaining the birthplace effect for male elite football players.

Earlier research shows that wide regional variations exist in the success of athletes' talent development but is divided with respect to the role of urbanity: both low and high urbanity have been identified as settings that contribute to the presence of talent hotspots. In this article, we intend to provide more insight into the role of urbanity in talent development in Dutch football. We used public data on the regional background of male elite players (N = 825) and combined this with public data on municipal characteristics from Statistics Netherlands and other sources: urbanity, football participation, instructional resources and population composition effects (migration background and income of inhabitants). Linear regression analysis showed that football participation, the proportion of non-western migrants and median income predict "talent yield", i.e., the proportion of young people that reach an elite level in a municipality. Urbanity does not have an independent influence when the proportion of non-western migrants in the municipality is taken into account. The presence of instructional resources does not have an independent influence. The results suggest that characteristics of the built environment, such as indoor and outdoor play opportunities, may be less influential in talent development than previously assumed.

Mothers' Mobility after Separation: Do Grandmothers Matter?

Starting from a life course perspective, this study aims to gain more insight into mobility patterns of recently separated mothers, focusing especially on moves to the location of their own mother: the maternal grandmother. Separated mothers, having linked lives with their own mothers, may benefit from their practical and emotional support. Additionally, the grandparents' home can be a (temporary) place to stay shortly after divorce. Data come from the System of social statistical datasets (Statistics Netherlands). This unique dataset combines longitudinal data from a vast number of administrative registers. It covers the complete Dutch population, making it exceptionally well suited for life course and mobility research. We studied mothers with minor children between 1/1/2008 and 31/12/2010. Our study included 579,500 mothers, of whom about 8,800 (1.5%) experienced a separation in 2008. Separated mothers moved to the grandmother's municipality more often than non-separated mothers, which might be partially motivated by the need for childcare. They also coresided with the grandmother more than non-separated movers, mostly because of a vulnerable socio-economic position. Although often temporary, coresidence appears to have a prolonged impact on the mothers' location choice; mothers frequently stayed in the grandmother's municipality after moving out. Finally, our results indicated that some mothers seemed to use the parental home as a stepping stone to cohabit with a new partner. © 2016 The Authors. Population, Space and Place published by John Wiley & Sons Ltd.

Association Between Population Density and Genetic Risk for Schizophrenia.

Importance: Urban life has been proposed as an environmental risk factor accounting for the increased prevalence of schizophrenia in urban areas. An alternative hypothesis is that individuals with increased genetic risk tend to live in urban/dense areas. Objective: To assess whether adults with higher genetic risk for schizophrenia have an increased probability to live in more populated areas than those with lower risk. Design, Setting, and Participants: Four large, cross-sectional samples of genotyped individuals of European ancestry older than 18 years with known addresses in Australia, the United Kingdom, and the Netherlands were included in the analysis. Data were based on the postcode of residence at the time of last contact with the participants. Community-based samples who took part in studies conducted by the Queensland Institute for Medical Research Berghofer Medical Research Institute (QIMR), UK Biobank (UKB), Netherlands Twin Register (NTR), or QSkin Sun and Health Study (QSKIN) were included. Genome-wide association analysis and mendelian randomization (MR) were included. The study was conducted between 2016 and 2018. Exposures: Polygenic risk scores for schizophrenia derived from genetic data (genetic risk is independently measured from the occurrence of the disease). Socioeconomic status of the area was included as a moderator in some of the models. Main Outcomes and Measures: Population density of the place of residence of the participants determined from census data. Remoteness and socioeconomic status of the area were also tested. Results: The QIMR participants (15 544; 10 197 [65.6%] women; mean [SD] age, 54.4 [13.2] years) living in more densely populated areas (people per square kilometer) had a higher genetic loading for schizophrenia (r2 = 0.12%; P = 5.69 × 10-5), a result that was replicated across all 3 other cohorts (UKB: 345 246; 187 469 [54.3%] women; age, 65.7 [8.0] years; NTR: 11 212; 6727 [60.0%] women; age, 48.6 [17.5] years; and QSKIN: 15 726; 8602 [54.7%] women; age, 57.0 [7.9] years). This genetic association could account for 1.7% (95% CI, 0.8%-3.2%) of the schizophrenia risk. Estimates from MR analyses performed in the UKB sample were significant (b = 0.049; P = 3.7 × 10-7 using GSMR), suggesting that the genetic liability to schizophrenia may have a causal association with the tendency to live in urbanized locations. Conclusions and Relevance: The results of this study appear to support the hypothesis that individuals with increased genetic risk tend to live in urban/dense areas and suggest the need to refine the social stress model for schizophrenia by including genetics as well as possible gene-environment interactions.