Migración en Venezuela, marco normativo e indicadores 2000- 2022 / Migration in Venezuela, regulatory framework and indicators 2000 - 2022

El objetivo fue describir el estado actual del marco normativo de migración, y la tendencia de indicadores de población y migración en Venezuela en el periodo 2000-2022.Métodos: Estudio descriptivo del marco normativo de migración y la tendencia de indicadores de población y migración en Venezuela. Indicadores: población total, tasa de dependencia demográfica (total, niñez, adulto mayor) y tasa de migración. Fuentes de datos: plataforma informativa salud y migración(marco normativo), Anuario estadístico de América Latina y el Caribe año 2000 al 2022 (indicadores de población).Resultados: El marco normativo de la migración en Venezuela está contenido en escasas leyes y Convenios Internacionales y regionales. La variación porcentual en la población venezolana fue descendente durante casi todo el periodo, donde se presentan incluso valores negativos para 2018-2021. La tasa anual decrecimiento poblacional, demostró un descenso constante y marcado desde el año 2000 hasta el año 2018, con altos valores negativos, luego asciende mostrando valores positivos a partir del año 2022, con un valor equivalente al año 2000. Conclusiones: El marco legal migratorio en Venezuela, es deficitario y no acorde a las necesidades de los migrantes. Los cambios ocurridos en la población venezolana de 2000 a 2022 fue debido a varios factores, siendo de gran impacto el fenómeno migratorio. La tasa de migración en Venezuela muestra tendencia negativa lo que indica que el país pierde población.

Objective Describe the current state of the regulatory framework for migration and the trend of populationand migration indicators in Venezuela for the period2000-2022. Methods: Descriptive study of the regulatory framework for migration and the trend of population andmigration indicators in Venezuela. Sample of national and international documents (regulatory framework). Indicators: total population, demographic dependency rate (total,childhood, elderly) and migration rate. Data sources: health andmigration information platform (regulatory framework) LatinAmerica and the Caribbean Statistical Yearbook 2000 to 2022(population indicators) Results: The regulatory framework formigration in Venezuela is contained in few international andregional laws and agreements. The percentage variation in the Venezuelan population was downward during almost the entireperiod, where even negative values are presented for 2018-2021.The annual rate of population growth showed a constant andmarked decrease from the year 2000 to the year 2018 with highnegative values, then it ascends showing positive values from theyear 2022 with a value equivalent to the year 2000. Conclusions:The migratory legal framework in Venezuela is deficient anddoes not meet the needs of migrants. The changes that haveoccurred in the Venezuelan population from 2000 to 2022 wasdue to several factors, the migratory phenomenon being of greatimpact. the migration rate in Venezuela shows a negative trend,which indicates that the country is losing population.

Influence of the size of the cities of birth and residence in the sports career: an analysis through the bolsa-atleta program / Influência do tamanho das cidades de nascimento e residência na carreira desportiva: uma análise por meio do programa bolsa-atleta

ABSTRACT This study aimed to verify whether the size of municipalities in which Brazilian high-performance athletes are born or live influences the federal government subsidy, in addition to pointing out whether factors such as human development index, demographic density and municipal investment in sports also exert influence. The sample consisted of 2,033 Brazilian municipalities that had athletes, born or resident, receiving the Brazilian incentive Bolsa-Atleta program. The size of municipalities influences the amount and level of grant obtained, demonstrating that the smaller the population size, the lower the chance of obtaining a higher grant level. In addition, factors such as human development index, demographic density and investment in sport influence the acquisition of grants by athletes, mainly by resident athletes, which shows an internal sports migration in the country as a result.

RESUMO O presente estudo teve por objetivo verificar se o tamanho dos municípios em que os atletas brasileiros de rendimento nascem ou residem gera influência na obtenção de subsídio pelo governo federal, além de apontar se fatores como índices de desenvolvimento humano, densidade demográfica e investimento municipal no esporte também exercem influência. A amostra consistiu em 2033 municípios brasileiros que apresentaram atletas nascidos ou residentes contemplados pelo programa de incentivo brasileiro Bolsa-Atleta. Por meio da análise, pode-se verificar que o tamanho dos municípios influência na quantidade e no nível de bolsa obtido, demonstrando que quanto menor o tamanho da população, menor a chance de se obter um nível mais alto de bolsa. Além disto, pode-se notar que fatores como índices de desenvolvimento humano, densidade demográfica e investimento no esporte exercem influência na aquisição de bolsas pelos atletas, principalmente, por parte de atletas residentes, o que evidencia uma migração esportiva interna no país.

Relationships between urbanization and CO2 emissions in China: An empirical analysis of population migration.

China's announcement of its goal of carbon neutrality has increased the practical significance of research on carbon dioxide (CO2) emissions that result from urbanization. With a comprehensive consideration of population migration in China, this study examines the impact of urbanization on CO2 emissions based on provincial panel data from 2000 to 2012. Two indicators (resident population and household registration population) are used to measure urbanization rate. The results reveal that the impact of urbanization on CO2 emissions in China is closely correlated with the structure of urban resident population and interregional population migration. The estimation results are still robust by using generalized method of moments (GMM) estimator and two-stage least squares (2SLS) estimator. The proportion of temporary residents is introduced as a proxy variable for population migration. The panel threshold model regression results show that the proportion of temporary residents has a marginal effect on the relationship between urbanization and CO2 emissions. In regions with a higher proportion of temporary residents, the positive effects of resident population urbanization on CO2 emissions tend to be weaker. These findings are consistent with the theories of ecological modernization and urban environmental transition. This paper makes suggestions on China's urbanization development model and countermeasures are proposed to minimize the CO2 emissions caused by urbanization.

Prevalence of winter migration to warmer destinations among Ontarians ("snowbirds") and patterns of their use of health care services: a population-based analysis.

BACKGROUND: Older Canadians frequently migrate to warmer destinations for the winter season (snowbirds). Our aim was to examine the prevalence of migration to warmer destinations among Ontarians, and to compare the characteristics and use of health care services of snowbirds to those of older Ontarians who did not migrate for the winter. METHODS: We conducted a population-based analysis using health administrative databases from Ontario. We compiled 10 seasonal cohorts (2009/10 to 2018/19) of adults aged 65 or more who filled a travel supply of medications under the Ontario Drug Benefits program (snowbirds) between September and January (snowbird season). We calculated the seasonal prevalence of snowbirds per 100 Ontarians aged 65 or more. We matched each snowbird in the 2018/19 season to 2 nonsnowbirds on age and sex, and compared their characteristics and patterns of use of government-funded health care services. RESULTS: Over the 10-year period, 53 431 to 70 863 Ontarians aged 65 or more were identified as snowbirds (seasonal prevalence 2.6%-3.3%). Compared to nonsnowbirds, snowbirds were more likely to be recent migrants, live in higher-income neighbourhoods, have fewer comorbidities and make more visits to primary care physicians. From January to March 2019, snowbirds accessed government-funded health care services for a median of 0 days (interquartile range [IQR] 0-1 d), compared to 4 days (IQR 2-8 d) among nonsnowbirds. INTERPRETATION: About 3% of older Ontarians migrate to warmer destinations for the winter each season. Since few access health care services in Ontario from January to March, researchers are encouraged to consider the snowbird population and the impact of their absence on evaluations that assume continuous observation.

A Model of Care Optimized for Marginalized Remote Population Unravels Migration Pattern in India.

BACKGROUND AND AIMS: Access to basic health needs remains a challenge for most of world's population. In this study, we developed a care model for preventive and disease-specific health care for an extremely remote and marginalized population in Arunachal Pradesh, the northeasternmost state of India. APPROACH AND RESULTS: We performed patient screenings, performed interviews, and obtained blood samples in remote villages of Arunachal Pradesh through a tablet-based data collection application, which was later synced to a cloud database for storage. Positive cases of hepatitis B virus (HBV) were confirmed and genotyped in our central laboratory. The blood tests performed included liver function tests, HBV serologies, and HBV genotyping. HBV vaccination was provided as appropriate. A total of 11,818 participants were interviewed, 11,572 samples collected, and 5,176 participants vaccinated from the 5 westernmost districts in Arunachal Pradesh. The overall hepatitis B surface antigen (HBsAg) prevalence was found to be 3.6% (n = 419). In total, 34.6% were hepatitis B e antigen positive (n = 145) and 25.5% had HBV DNA levels greater than 20,000 IU/mL (n = 107). Genotypic analysis showed that many patients were infected with HBV C/D recombinants. Certain tribes showed high seroprevalence, with rates of 9.8% and 6.3% in the Miji and Nishi tribes, respectively. The prevalence of HBsAg in individuals who reported medical injections was 3.5%, lower than the overall prevalence of HBV. CONCLUSIONS: Our unique, simplistic model of care was able to link a highly resource-limited population to screening, preventive vaccination, follow-up therapeutic care, and molecular epidemiology to define the migratory nature of the population and disease using an electronic platform. This model of care can be applied to other similar settings globally.

Drivers of land-use changes in societies with decreasing populations: A comparison of the factors affecting farmland abandonment in a food production area in Japan.

The extraordinary population growth of the 20th century will subside in the 21st century, followed by depopulation, constituting the first population decline phase in human history in Japan and other developed countries. The drivers of land-use change during the population decline phase are expected to differ from those of the population growth phase; however, research on land-use drivers during the decline phase is limited. Identifying these drivers is necessary to develop effective management plans for biodiversity and ecosystem services in the decline phase. First, we calculated the probability of farmland abandonment in Hokkaido, a Japanese food production area, from 1973-2009 and divided the period into the population growth phase (1978-1997) and the decline phase (1997-2009). We examined various geographical and social factors that were assumed to alter the land use during these two phases. Geographical and social conditions are key factors in determining the probability of farmland abandonment, but their influences varied between the two phases. The farmlands located on geographically uncultivable sites, such as marginal, underproductive, narrow, and steep land, were abandoned during these phases; however, social conditions, such as the distance from densely inhabited districts (DIDs) and the population, exerted opposite effects during these two phases. Farmland abandonment occurred near DIDs (i.e., urban areas) during the population growth phase, whereas farmland abandonment occurred far from DIDs and sparsely populated farmlands during the decline phase. Farmland abandonment was strongly affected by government policy during the population growth phase, but the policy weakened during the decline phase, which triggered farmland abandonment throughout Hokkaido. The geographical and social drivers found in the present study may provide new insights for other developed countries experiencing depopulation problems.

Contested domains of biological similarities and sociocultural diversity.

Scientists and social scientists often read the same text differently. They also construct categories having the same nomenclature independently. Many of us also work in isolated domains, rarely reading texts researched and documented by others. We conduct our research within the defined format of our disciplines. We engage with others only when contestations emerge and challenge some of the rooted paradigms of each other's disciplines. This paper reflects the reactions of a social scientist to texts on population genetics and attempts to arrive at the genetic theory of the origin of ethnological history of human populations in India. Inadvertently, most of these intensely researched and passionately documented DNA evidence present a serious challenge to the discourse of cultural pluralism and social diversity that the humanist perspective of science and social science takes pride in documenting. This paper is based on secondary resource materials and the methodology adopted is that of narrative research.

Reconstructing commuters network using machine learning and urban indicators.

Human mobility has a significant impact on several layers of society, from infrastructural planning and economics to the spread of diseases and crime. Representing the system as a complex network, in which nodes are assigned to regions (e.g., a city) and links indicate the flow of people between two of them, physics-inspired models have been proposed to quantify the number of people migrating from one city to the other. Despite the advances made by these models, our ability to predict the number of commuters and reconstruct mobility networks remains limited. Here, we propose an alternative approach using machine learning and 22 urban indicators to predict the flow of people and reconstruct the intercity commuters network. Our results reveal that predictions based on machine learning algorithms and urban indicators can reconstruct the commuters network with 90.4% of accuracy and describe 77.6% of the variance observed in the flow of people between cities. We also identify essential features to recover the network structure and the urban indicators mostly related to commuting patterns. As previously reported, distance plays a significant role in commuting, but other indicators, such as Gross Domestic Product (GDP) and unemployment rate, are also driven-forces for people to commute. We believe that our results shed new lights on the modeling of migration and reinforce the role of urban indicators on commuting patterns. Also, because link-prediction and network reconstruction are still open challenges in network science, our results have implications in other areas, like economics, social sciences, and biology, where node attributes can give us information about the existence of links connecting entities in the network.

Sex-dependent effect of post-migration adaptation on height and relative lower leg length in Polish youth.

BACKGROUND: Growth in tibia length is considered to be particularly sensitive to environmental stress. AIM: To estimate the effect of parental migration status on the relative length of the tibia in their school-age children. SUBJECTS AND METHODS: Data included a nationwide random sample of 17,155 schoolchildren, 7-18 years of age, examined between 1966 and 1969 in Poland who provided information on anthropometric measurements and demographic and social characteristics. Parental migration status was based on paternal migration history. After standardisation by LMS method, z-scores of relative tibia length and z-scores of height were used for analysis. Three-way ANOVA was used to evaluate the influence of migration on tibia length-to-height ratio. RESULTS: Sons of migrants have a significantly higher tibia length-to-height ratio compared to sons of non-migrants. Children of non-migrants were taller than children of migrants among boys in medium SES and among girls in high and low SES. Relative tibia length indicated significant effects of migration among boys in all age categories and in late adolescent girls: sons of migrants had a higher ratio and daughters of migrants had a lower tibia length-to-height ratio. CONCLUSION: It is possible that migration experiences of the parents may have influenced the growth of their offspring. The results emphasise the potential importance of research addressing the impact of different types of migration on growth of children.

Residential mobility of pregnant women and implications for assessment of spatially-varying environmental exposures.

Health studies on spatially-varying exposures (e.g., air pollution) during pregnancy often estimate exposure using residence at birth, disregarding residential mobility. We investigated moving patterns in pregnant women (n = 10,116) in linked cohorts focused on Connecticut and Massachusetts, U.S., 1988-2008. Moving patterns were assessed by race/ethnicity, age, marital status, education, working status, population density, parity, income, and season of birth. In this population, 11.6% of women moved during pregnancy. Movers were more likely to be younger, unmarried, and living in urban areas with no previous children. Among movers, multiple moves were more likely for racial/ethnic minority, younger, less educated, unmarried, and lower income women. Most moves occurred later in pregnancy, with 87.4% of first moves in the second or third trimester, although not all cohort subjects enrolled in the first few weeks of pregnancy. Distance between first and second residence had a median value of 5.2 km (interquartile range 11.3 km, average 57.8 km, range 0.0-4277 km). Women moving larger distances were more likely to be white, older, married, and work during pregnancy. Findings indicate that residential mobility may impact studies of spatially-varying exposure during pregnancy and health and that subpopulations vary in probability of moving, and timing and distance of moves.

Can changes in population mixing and socio-economic deprivation in Cumbria, England explain changes in cancer incidence around Sellafield?

Previously excesses in incident cases of leukaemia and non-Hodgkin lymphoma have been observed amongst young people born or resident in Seascale, Cumbria. These excesses have not been seen more recently. It is postulated that the former apparent increased risk was related to 'unusual population mixing', which is not present in recent years. This study investigated changes in measures of population mixing from 1951-2001. Comparisons were made between three specified areas. Area-based measures were calculated (migration, commuting, deprivation, population density). All areas have become more affluent, although Seascale was consistently the most affluent. Seascale has become less densely populated, with less migration into the ward and less diversity with respect to migrants' origin. There have been marked changes in patterns of population mixing throughout Cumbria. Lesser population mixing has been observed in Seascale in recent decades. Changes in pattern and nature of population mixing may explain the lack of recent excesses.

Job Changing and the Decline in Long-Distance Migration in the United States.

Interstate migration in the United States has decreased steadily since the 1980s, but little is known about the causes of this decline. We show that declining migration is related to a concurrent secular decline in job changing. Neither trend is primarily due to observable demographic or socioeconomic factors. Rather, we argue that the decline in job changing has caused the decline in migration. After establishing a role for the labor market in declining migration, we turn to the question of why job changing has become less frequent over the past several decades. We find little support for several explanations, including the rise of dual-career households, the decline in middle-skill jobs, occupational licensing, and the need for employees to retain health insurance. Thus, the reasons for these dual trends remain opaque and should be explored further.

Sediment record of polycyclic aromatic hydrocarbons in the Liaohe River Delta wetland, Northeast China: Implications for regional population migration and economic development.

The polycyclic aromatic hydrocarbons (PAHs) of a 210Pb-dated sediment core extracted from the Liaohe River Delta wetland were measured to reconstruct the sediment record of PAHs and its response to human activity for the past 300 years in Northeast China. The concentrations of the 16 U.S. Environmental Protection Agency priority PAHs (∑16PAHs) ranged from 46 to 1167 ng g-1 in this sediment core. The concentrations of the 16 PAHs (especially 4- and 5+6-ring PAHs) after the 1980s (surface sediments 0-6 cm) were one or two orders of magnitudes higher than those of the down-core samples. The exponential growth of 4-ring and 5+6-ring PAH concentrations after the 1980s responded well to the increased energy consumption and number of civil vehicles resulting from the rapid economic development in China. Prior to 1950, relatively low levels of the 16 PAHs and a high proportion of 2+3-ring PAHs was indicative of biomass burning as the main source of the PAHs. A significant increase in the 2 + 3 ring PAH concentration from the 1860s-1920s was observed and could be attributed to a constant influx of population migration into Northeast China. It was suggested that the link between historical trend of PAHs and population or energy use involves two different economic stages. Typically, in an agricultural economy, the greater the population size, the greater the emission of PAHs from biomass burning, while in an industrial economy, the increase in sedimentary PAH concentrations is closely related to increasing energy consumption of fossil fuels.

Random migration processes between two stochastic epidemic centers.

We consider the epidemic dynamics in stochastic interacting population centers coupled by random migration. Both the epidemic and the migration processes are modeled by Markov chains. We derive explicit formulae for the probability distribution of the migration process, and explore the dependence of outbreak patterns on initial parameters, population sizes and coupling parameters, using analytical and numerical methods. We show the importance of considering the movement of resident and visitor individuals separately. The mean field approximation for a general migration process is derived and an approximate method that allows the computation of statistical moments for networks with highly populated centers is proposed and tested numerically.

Migration to the Downtown Eastside neighbourhood of Vancouver and changes in service use in a cohort of mentally ill homeless adults: a 10-year retrospective study.

OBJECTIVES: Little research has investigated the role of migration as a potential contributor to the spatial concentration of homeless people with complex health and social needs. In addition, little is known concerning the relationship between possible migration and changes in levels of service use over time. We hypothesised that homeless, mentally ill individuals living in a concentrated urban setting had migrated from elsewhere over a 10-year period, in association with significant increases in the use of public services. SETTING: Recruitment was concentrated in the Downtown Eastside neighbourhood of Vancouver, Canada. PARTICIPANTS: Participants (n=433) met criteria for chronic homelessness and serious mental illness, and provided consent to access administrative data. METHODS: Linked administrative data were used to retrospectively examine geographic relocation as well as rates of health, justice, and social welfare service utilisation in each of the 10 years prior to recruitment. Generalised estimating equations were used to estimate the effect of migration on service use. RESULTS: Over a 10-year period there was significant movement into Vancouver's Downtown Eastside neighbourhood (from 17% to 52% of the cohort). During the same period, there were significant annual increases in community medical services (adjusted rate ratio (ARR) per year=1.08; 95% CI 1.06 to 1.10), hospital admissions (ARR=1.08; 95% CI 1.04 to 1.11), criminal convictions (ARR=1.08; 95% CI 1.03 to 1.13), and financial assistance payments (ARR=1.04; 95% CI 1.03 to 1.06). Migration was significantly associated with financial assistance, but not with other types of services. CONCLUSIONS: Significant increases in service use over a 10-year period coincided with significant migration into an urban area where relevant services were concentrated. These results highlight opportunities for early intervention in spatially diverse neighbourhoods to interrupt trajectories marked by worsening health and extremely high service involvement. Further research is urgently needed to investigate the causal relationships between physical migration, health and social welfare, and escalating use of public services. TRIAL REGISTRATION NUMBERS: ISRCTN57595077 and ISRCTN66721740; Post-results.

Exposure misclassification due to residential mobility during pregnancy.

OBJECTIVES: Pregnant women are a highly mobile group, yet studies suggest exposure error due to migration in pregnancy is minimal. We aimed to investigate the impact of maternal residential mobility on exposure to environmental variables (urban fabric, roads and air pollution (PM10 and NO2)) and socio-economic factors (deprivation) that varied spatially and temporally. METHODS: We used data on residential histories for deliveries at ≥ 24 weeks gestation recorded by the Northern Congenital Abnormality Survey, 2000-2008 (n=5399) to compare: (a) exposure at conception assigned to maternal postcode at delivery versus maternal postcode at conception, and (b) exposure at conception assigned to maternal postcode at delivery versus mean exposure based on residences throughout pregnancy. RESULTS: In this population, 24.4% of women moved during pregnancy. Depending on the exposure variable assessed, 1-12% of women overall were assigned an exposure at delivery >1 SD different to that at conception, and 2-25% assigned an exposure at delivery >1 SD different to the mean exposure throughout pregnancy. CONCLUSIONS: To meaningfully explore the subtle associations between environmental exposures and health, consideration must be given to error introduced by residential mobility.

Rural-to-Urban Migration and Changes in Health Among Young Adults in Thailand.

We investigate the impacts of rural-to-urban migration on the health of young adult migrants. A key methodological challenge involves the potentially confounding effects of selection on the relationship between migration and health. Our study addresses this challenge in two ways. To control for potential effects of prior health status on post-migration health outcomes, we employ a longitudinal approach. To control for static unobserved characteristics that can affect migration propensity as well as health outcomes, we use fixed-effects analyses. Data were collected in 2005 and 2007 for a cohort of young adults in rural Kanchanaburi province, western Thailand. The migrant sample includes individuals who subsequently moved to urban destinations where they were reinterviewed in 2007. Return migrants were interviewed in rural Kanchanaburi in both years but moved to an urban area and returned in the meantime. A rural comparison group comprises respondents who remained in the origin villages. An urban comparison sample includes longer-term residents of the urban destination communities. Physical and mental health measures are based on the SF-36 health survey. Findings support the "healthy migrant hypothesis." Migrants are physically healthier than their nonmigrant counterparts both before and after moving to the city. We did not find an effect of migration on physical health. Rural-to-urban migrants who stayed at destination experienced a significant improvement in mental health status. Fixed-effects analyses indicate that rural-to-urban migration positively affects mental health. Return migrants do not fare as well as migrants who stayed at destination on both physical and mental health status--evidence of selective return migration.

Geographic migration of black and white families over four generations.

This article analyzes patterns of geographic migration of black and white American families over four consecutive generations. The analysis is based on a unique set of questions in the Panel Study of Income Dynamics (PSID) asking respondents about the counties and states in which their parents and grandparents were raised. Using this information along with the extensive geographic information available in the PSID survey, the article tracks the geographic locations of four generations of family members and considers the ways in which families and places are linked together over the course of a family's history. The patterns documented in the article are consistent with much of the demographic literature on the Great Migration of black Americans out of the South, but they reveal new insights into patterns of black migration after the Great Migration. In the most recent generation, black Americans have remained in place to a degree that is unique relative to the previous generation and relative to whites of the same generation. This new geographic immobility is the most pronounced change in black Americans' migration patterns after the Great Migration, and it is a pattern that has implications for the demography of black migration as well as the literature on racial inequality.

Exploring evidence for a prospective relationship between common mental disorder and meeting residential mobility preferences.

This study investigates evidence of a selective influence of mental health in meeting residential mobility preferences. Data from two waves of Understanding Society (the UK Household Longitudinal Study) were used to identify four preference-mobility groups ('desired stayers', 'entrapped', 'desired movers', 'displaced'). Associations between mental health (symptoms of common mental disorder, CMD) and preference-mobility groups were measured both before and after residential moves. Those identified with CMD at baseline were at greater risk of being both in the 'entrapped' and the 'desired mover' groups, relative to the 'desired stayer' group in the following year. The association between preference-mobility group and subsequent poorer mental health was found among both groups that failed to meet their mobility preferences ('entrapped' and 'displaced'). This study finds evidence for a selective influence of mental health - such that those with poorer mental health are less likely to achieve a desired residential move, and highlights the importance of considering a bidirectional relationship between residential mobility and mental health.

Regeneration, relocation and health behaviours in deprived communities.

In the UK, recent regeneration programmes have aimed to improve the health of those who remain in their neighbourhood (Remainers) and those who are relocated (Outmovers); thus, as part of the 10-year GoWell study (2006-2015) of the effects of demolition, rebuilding and housing improvements on residents and communities, we examined associations of health behaviours with residential conditions and location status in deprived neighbourhoods of Glasgow. Better internal dwelling conditions were associated with several better health behaviours; in relation to neighbourhood conditions, the results were more mixed. Outmovers often exhibited worse health behaviours than Remainers, perhaps because environmental and social conditions were little altered by relocation, and because personal support mechanisms were missing. Health behaviours were relatively good among Remainers, indicating that in situ changes might stimulate life-changing improvements, but relocation less so.