You Mean the World to Me: The Role of Residential Mobility in Centrality of Romantic Relationships

Integrating the suffocation model of marriage with research on residential mobility, the current studies examined for the first time whether long-term romantic relationships are more central for residentially mobile (vs. stable) individuals (total N across three studies = 5,366; age range = 18–95). In Study 1, individuals who moved away from their place of birth (vs. not) were more likely to first confide in their spouse over other network members on important matters. In Study 2, history of frequent residential moves was associated with greater importance ascribed to romantic partners in the attachment hierarchy. In Study 3, the slope of perceived partner responsiveness predicting eudaimonic well-being got steeper as residential mobility increased. By showing the role of residential mobility in romantic relationships, our findings highlight the importance of studying socioecological factors to gain a deeper understanding of how relationship processes unfold.

Neighborhood and Child Development at Age Five: A UK–US Comparison

Early childhood is a critical period in the life course, setting the foundation for future life. Early life contexts—neighborhoods and families—influence developmental outcomes, especially when children are exposed to economic and social disadvantage. Residential mobility, frequent among families with pre-school children, may reduce or increase exposure to adverse surroundings. We examine children’s cognitive and behavioral outcomes at age five, in relation to neighborhood composition, family circumstances and residential moves, using two longitudinal micro datasets: an urban subsample of the UK Millennium Cohort Study (N up to 7967), and the Fragile Families and Child Wellbeing Study in the US (N up to 1820). Each is linked to an index of neighborhood advantage, created to make UK/US comparisons, based on census and administrative information. A series of estimates indicate a strong association, in both countries, between cognitive scores and neighborhood advantage, attenuated but not eliminated by family circumstances. Children’s behavior problems, on the other hand, show less association with neighborhood advantage. There are minor and mixed differences by residential mobility particularly when neighborhood disadvantage changes. Notwithstanding the primacy of the family in predicting preschool development, the findings support the notion of neighborhood as potentially advantageous at least in relation to cognitive outcomes.

Housing Instability and Depression among US Mothers Following a Nonmarital Birth

Mothers who had a nonmarital birth experience multiple risk factors for depression, including housing instability. Yet, important questions remain about the extent of long-term housing instability and its association with future depression among at-risk mothers. Using the Fragile Families and Child Wellbeing Study data, we examine cumulative housing instability over a 15-year period following nonmarital birth and its association with maternal depression. Based on a sample of 2279 mothers who had a nonmarital birth in 20 major US cities between 1998–2000, we examined their 15-year residential moves and housing arrangements. Then, we tested the associations between the cumulative residential moves and major depressive episodes (MDE) in Year 15 using logistic regression analysis. One in every four mothers had six or more residential moves in 15 years following a nonmarital birth. For each additional move, mothers reported up to 27.9% higher odds of having a past-year MDE in Year 15, translating into the prevalence increases from 6.0% (zero move) to 20.6% (10 moves). Our findings suggest that greater attention should be paid to housing needs among mothers following a nonmarital birth, including temporary housing assistance and more fundamental programs to reduce housing instability as preventive mental health services.

1444Housing disadvantage in childhood and health: A systematic review

Background Housing has been recognised as one of the important determinants of health outcomes. However, little is known of the contribution of these pathways to children’s health and wellbeing and their pattern of health throughout life. This review aims to provide a synthesis of longitudinal studies linking experiences of disadvantaged housing in childhood to health outcomes. Methods A literature search was performed on four databases including Medline, EMBASE, PsycINFO, and Web of Science from 2000 to 2020. Peer-reviewed longitudinal studies assessing the association between housing disadvantage in childhood and subsequent physical and mental health were included. The methodological quality of selected studies was appraised using the ROBINS-I tool. A narrative synthesis was developed due to study heterogeneity. Results Forty-five cohort studies were included, and no randomised controlled trial met the inclusion criteria. The majority of the studies was evaluated to have a moderate risk of bias. Across the studies, while many relationships remained mixed, consistent evidence of detrimental impact was identified between: poor housing conditions and mortality; inadequate heating and respiratory illness; frequent residential moves and psychiatric mortality and morbidity. Little evidence is found between overcrowding in childhood and health outcomes. Conclusions Evidence from longitudinal studies indicates that poor housing experience in childhood may impact health later in life. Key messages The findings stressed housing as a key social determinant of child health, and interventions designed to mitigate housing disadvantage may have significant health gains across the life span

Do Socioeconomic Factors Influence Who Is Most Likely to Relocate after Environmental Disasters? A Case Study in Indonesia

Environmental mobility (residential moves influenced by environmental factors) is increasingly recognized as an important issue, both today and under future conditions of climate change. Those who experience climate- and weather-related disasters rarely respond as a homogenous group of migrants, yet relatively limited studies have specifically examined individual-level heterogeneities across those exposed. In this paper, we used self-reported data to investigate differences in sociodemographics (age, marital status, sex, and education) between those who relocated after environmental disruptions in Indonesia and those who did not relocate. Individuals with 12 years of education at the time of an environmental exposure were 3.93 (95% confidence interval [CI]: 1.38, 11.20) times more likely to move for environmental reasons than those with <12 years of education. Assuming education as a proxy for socioeconomic status, these findings suggest that those in the mid-range socioeconomic brackets may be most likely to migrate after environmental disruptions, while the poorest are less likely to move. This may reflect that the costs of relocation are prohibitively high for those with lower socioeconomic status. Collectively, these results add to an inconsistent body of literature on environmental mobility and indicate that further site- and context-specific research on climate- and weather-related relocation is needed.

Using life histories to explore the complexities of internal and international migration

Residential migration is one of the most problematic demographic variables. In Britain there are no sources that routinely record all moves, and the motives behind relocation are rarely recorded. In this paper I argue that the use of life histories can add important depth and clarity to the study of residential moves. The paper focuses on two themes: the ways in which internal and international migration may be linked together over the life course, and the complex mix of reasons why a move may take place. Used sensitively, life histories and life writing can enhance the study of migration history.

Internal migration and mobile communication patterns among pairs with strong ties

Using large-scale call detail records of anonymised mobile phone service subscribers with demographic and location information, we investigate how a long-distance residential move within the country affects the mobile communication patterns between an ego who moved and a frequently called alter who did not move. By using clustering methods in analysing the call frequency time series, we find that such ego-alter pairs are grouped into two clusters, those with the call frequency increasing and those with the call frequency decreasing after the move of the ego. This indicates that such residential moves are correlated with a change in the communication pattern soon after moving. We find that the pre-move calling behaviour is a relevant predictor for the post-move calling behaviour. While demographic and location information can help in predicting whether the call frequency will rise or decay, they are not relevant in predicting the actual call frequency volume. We also note that at four months after the move, most of these close pairs maintain contact, even if the call frequency is decreased.

Exploring the dynamics of neighborhood ethnic segregation with agent-based modelling: an empirical application to Bradford

How individuals’ residential moves in space—derived from their varied preferences and constraints—translate into the overall segregation patterns that we observe, remains a key challenge in neighborhood ethnic segregation research. In this paper we use agent-based modeling to explore this concern, focusing on the interactive role of ethnic and socio-economic homophily preferences and housing constraints as determinants of residential choice. Specifically, we extend the notorious Schelling’s model to a random utility discrete choice approach to simulate the relocation decision of people (micro level) and how they translate into spatial segregation outcomes (macro level). We model different weights for preferences of ethnic and socioeconomic similarity in neighborhood composition over random relocations, in addition to housing constraints. We formalize how different combinations of these variables could replicate real segregation scenarios in Bradford, a substantially segregated local authority in the UK. We initialize our model with geo-referenced data from the 2011 Census and use Dissimilarity and the Average Local Simpson Indices as measures of segregation. As in the original Schelling model, the simulation shows that even mild preferences to reside close to co-ethnics can lead to high segregation levels. Nevertheless, ethnic over-segregation decreases, and results come close to real data, when preferences for socioeconomic similarity are slightly above preferences for ethnic similarity, and even more so when housing constraints are considered in relocation moves of agents. We discuss the theoretical and policy contributions of our work.

Residential mobility for a national cohort of New Zealand-born children by area socioeconomic deprivation level and ethnic group

ObjectivesThe aims of this study are to describe area deprivation levels and changes that occur during residential moves involving New Zealand children from birth to their fourth birthday, and to assess whether these changes vary by ethnicity.DesignLongitudinal administrative data.SettingChildren born in New Zealand from 2004 to 2018.ParticipantsAll (565 689) children born in New Zealand with at least one recorded residential move.Outcome measuresA longitudinal data set was created containing lifetime address histories for our cohort. This was linked to the New Zealand Deprivation Index, a measure of small area deprivation. Counts of moves from each deprivation level to each other deprivation level were used to construct transition matrices.ResultsChildren most commonly moved to an area with the same level of deprivation. This was especially pronounced in the most and least deprived areas. The number of moves observed also increased with deprivation. Māori and Pasifika children were less likely to move to, or remain in low-deprivation areas, and more likely to move to high-deprivation areas. They also had disproportionately high numbers of moves.ConclusionWhile there was evidence of mobility between deprivation levels, the most common outcome of a move was no change in area deprivation. The most deprived areas had the highest number of moves. Māori and Pasifika children were over-represented in high-deprivation areas and under-represented in low-deprivation areas. They also moved more frequently than the overall population of 0 to 3 year olds.