Geographical differences in the financial impacts of different forms of tobacco licence fees on small retailers in Scotland.

OBJECTIVE: Retailer licencing fees are a promising avenue to regulate tobacco availability. However, they face strong opposition from retailers and the tobacco industry, who argue significant financial impacts. This study compares the impacts of different forms of tobacco licence schemes on retailers' profits in Scotland. METHODS: We calculated gross profits from tobacco sales in 179 convenience stores across Scotland using 1 099 697 electronic point-of-sale records from 16 weeks between 2019 and 2022. We estimated different fees using universal, volumetric and separate urban/rural schemes. We identified the point at which 50% of retailers would no longer make a gross profit on tobacco sales for each scheme and modelled the financial impact of 10 incremental fee levels. The financial impact was assessed based on changes in retailers' tobacco gross profits. Differences by neighbourhood deprivation and urban/rural status were examined. RESULTS: The gross profit from tobacco per convenience store averaged £15 859/year. Profits were 2.29 times higher in urban (vs rural) areas and 1.59 times higher in high-deprivation (vs low-deprivation) areas, attributable to higher sales volumes. Tobacco gross profit decreased proportionally with increasing fee levels. Universal and urban/rural fees had greater gross profit reductions in rural and/or less deprived areas, where profits were lower, compared with volumetric fees. CONCLUSION: The introduction of tobacco licence fees offers a potential opportunity for reducing the availability of tobacco retailers. The likely impact of a tobacco licence fee is sensitive to the type of licence scheme implemented, the level at which fees are set and the retailers' location in relation to neighbourhood deprivation and rurality.

Is tobacco a driver of footfall among small retailers? A geographical analysis of tobacco purchasing using electronic point of sale data.

OBJECTIVE: Opponents of policies designed to reduce tobacco retail availability argue that tobacco products are a vital driver of 'footfall' in small retailers. This study considers the changing contribution of tobacco to footfall and revenue among convenience stores across Britain, compares tobacco to other 'footfall driver' products and assesses whether tobacco's importance varies by neighbourhood deprivation and urban/rural status. METHODS: We conducted an analysis of electronic point of sale systems data from 1253 convenience stores in Britain in 4 weeks in 2016 and 2019. We calculated the number and value of purchased basket types (Tobacco Only, Non-Tobacco, Mixed) in each year and by neighbourhood characteristics. RESULTS: The mean numbers of baskets per store containing tobacco fell by 47% during 2016-2019, a greater decline than any other footfall driver product. The sales value of tobacco products rose sharply over this time period due to increasing unit price. However, the proportion of store turnover accounted for by tobacco transactions declined. There were marked falls in the turnover from non-tobacco products in Mixed tobacco baskets. The proportion of baskets containing tobacco and the value of turnover from these baskets was greater in more deprived and urban areas but these places also experienced larger reductions over time, narrowing differences between areas. CONCLUSION: Tobacco's importance as a driver of footfall and related turnover among convenience retailers has reduced significantly in Britain in recent years, particularly in deprived and urban areas, undermining industry claims that tobacco is essential to the viability of these businesses.

Using point-of-sale data to examine tobacco pricing across neighbourhoods in Scotland.

OBJECTIVES: To assess the geographical variation in tobacco price (cigarettes and roll-your-own (RYO) tobacco) in convenience stores across Scotland and how this relates to neighbourhood income deprivation, tobacco retail outlet density and urban/rural status. METHODS: Tobacco price data from 124 566 shopping baskets purchased in 274 convenience stores during 1 week in April 2018 were obtained through an electronic point-of-sale system. These data were combined with neighbourhood-level measures of income deprivation, tobacco retail outlet density and urban/rural status. We examined brand price for 12 of the most popular cigarette brands and 3 RYO brands and variations in purchases by price segment; multivariable regression analysis assessed associations between area variables and tobacco price. RESULTS: Most stores sold tobacco in all price segments. The lowest priced subvalue brands were the most popular in all neighbourhoods but were most dominant in shops in more deprived neighbourhoods. When total sales were assessed, overall purchase price varied significantly by neighbourhood income deprivation; packets of 20 cigarettes were 50 pence (5.6%) lower and RYO 34 pence (2.7%) lower among shops in the two highest income deprivation quintiles relative to the lowest. Analysis of individual brands showed that for 3 of the 12 cigarette brands considered, average prices were 12-17 pence lower in more deprived neighbourhoods with the most popular RYO brand 15 pence lower. There was limited evidence of a relationship with tobacco retail outlet density. CONCLUSION: Across Scottish convenience stores, the purchase price of cigarettes and RYO was lower in more income-deprived neighbourhoods. The lower prices primarily reflect greater sales of cheap brands in these areas, rather than retailers reducing the prices of individual brands.

The relationship between wealth and loneliness among older people across Europe: Is social participation protective?

OBJECTIVE: 1. Examine the relationship between household wealth, social participation and loneliness among older people across Europe. 2. Investigate whether relationships vary by type of social participation (charity/volunteer work, sports/social clubs, educational/training course, and political/community organisations) and gender. 3. Examine whether social participation moderates the association between wealth and loneliness. METHODS: Data (N=29,795) were taken from the fifth wave of the Survey of Health, Ageing and Retirement in Europe (SHARE), which was collected during 2013 from 14 European countries. Loneliness was measured using the short version of the Revised-University of California, Los Angeles (R-UCLA) Loneliness Scale. We used multilevel logistic models stratified by gender to examine the relationships between variables, with individuals nested within countries. RESULTS: The risk of loneliness was highest in the least wealthy groups and lowest in the wealthiest groups. Frequent social participation was associated with a lower risk of loneliness and moderated the association between household wealth and loneliness, particularly among men. Compared to the wealthiest men who often took part in formal social activities, the least wealthy men who did not participate had greater risk of loneliness (OR=1.91, 95% CI: 1.44 to 2.51). This increased risk was not observed among the least wealthy men who reported frequent participation in formal social activities (OR=1.12, 95% CI: 0.76 to 1.67). CONCLUSION: Participation in external social activities may help to reduce loneliness among older adults and potentially acts as a buffer against the adverse effects of socioeconomic disadvantage.

Are migration patterns and mortality related among European regions?

Geographical inequalities in mortality across Europe may be influenced by migration between regions. The relationship between age- and sex-standardised death rates, 2008-2010, and population change resulting from migration 2000-2010, was analysed in 250 'Nomenclature of Statistical Territorial Units' (NUTS) level 2 regions in 26 European countries. Across Europe death rates were significantly higher in regions experiencing population loss. This association continued after adjustment for 2005 household income among all regions and Western regions but not among Eastern areas. This analysis suggests migration could contribute to Europe's persistent inequalities in mortality, and highlights the problems of Eastern regions with the highest death rates, lowest incomes and declining populations.

Have regional inequalities in life expectancy widened within the European Union between 1991 and 2008?

BACKGROUND: Health inequalities have widened within and between many European countries over recent decades, but Europe-wide sub-national trends have been largely overlooked. For regions across the European Union (EU), we assess how geographical inequalities (i.e., between regions) and sociospatial inequalities (i.e., between regions grouped by an area-level measure of average household income) in male and female life expectancy have changed between 1991 and 2008. METHODS: Household income, life expectancy at birth and population count data were obtained for 129 regions (level 2 Nomenclature of Statistical Territorial Units, 'NUTS') in 13 European countries with 1991-2008 data (2008 population = 272 million). We assessed temporal changes in the range of life expectancies, for all regions and for Western and Eastern European regions separately. RESULTS: Between 1991 and 2008, the geographical range of life expectancies found among European regions remained relatively constant, with the exception of life expectancy among male Eastern Europeans, for whom the range widened by 2.8 years. Sociospatial inequalities in life expectancy (1999-2008 data only) remained constant for all regions combined and for Western Europe, but more than doubled in size for male Eastern Europeans. For female Eastern Europeans, life expectancy was unrelated to regional household income. CONCLUSIONS: Regional life-expectancy inequalities in the EU have not narrowed over 2 decades, despite efforts to reduce them. Household income differences across European regions may partly explain these inequalities. As inequalities transcend national borders, reduction efforts may require EU-wide coordination in addition to national efforts.

Particulate air pollution and health inequalities: a Europe-wide ecological analysis.

BACKGROUND: Environmental disparities may underlie the unequal distribution of health across socioeconomic groups. However, this assertion has not been tested across a range of countries: an important knowledge gap for a transboundary health issue such as air pollution. We consider whether populations of low-income European regions were a) exposed to disproportionately high levels of particulate air pollution (PM10) and/or b) disproportionately susceptible to pollution-related mortality effects. METHODS: Europe-wide gridded PM10 and population distribution data were used to calculate population-weighted average PM10 concentrations for 268 sub-national regions (NUTS level 2 regions) for the period 2004-2008. The data were mapped, and patterning by mean household income was assessed statistically. Ordinary least squares regression was used to model the association between PM10 and cause-specific mortality, after adjusting for regional-level household income and smoking rates. RESULTS: Air quality improved for most regions between 2004 and 2008, although large differences between Eastern and Western regions persisted. Across Europe, PM10 was correlated with low household income but this association primarily reflected East-West inequalities and was not found when Eastern or Western Europe regions were considered separately. Notably, some of the most polluted regions in Western Europe were also among the richest. PM10 was more strongly associated with plausibly-related mortality outcomes in Eastern than Western Europe, presumably because of higher ambient concentrations. Populations of lower-income regions appeared more susceptible to the effects of PM10, but only for circulatory disease mortality in Eastern Europe and male respiratory mortality in Western Europe. CONCLUSIONS: Income-related inequalities in exposure to ambient PM10 may contribute to Europe-wide mortality inequalities, and to those in Eastern but not Western European regions. We found some evidence that lower-income regions were more susceptible to the health effects of PM10.

Changing patterns of migration in Latin America: how can research develop intelligence for public health?

Migration patterns in Latin America have changed significantly in recent decades, particularly since the onset of global recession in 2007. These recent economic changes have highlighted and exacerbated the weakness of evidence from Latin America regarding migration-a crucial determinant of health. Migration patterns are constantly evolving in Latin America, but research on migration has not developed at the same speed. This article focuses on the need for better understanding of the living conditions and health of migrant populations in Latin America within the context of the recent global recession. The authors explain how new data on migrant well-being could be obtained through improved evidence from censuses and ongoing research surveys to 1) better inform policy-makers about the needs of migrant populations in Latin America and 2) help determine better ways of reaching undocumented immigrants. Longitudinal studies on immigrants in Latin America are essential for generating a better representation of migrant living conditions and health needs during the initial stages of immigration and over time. To help meet this need, the authors support the promotion of sustainable sources of data and evidence on the complex relationship between migration and health.

Testing the Latino paradox in Latin America: a population-based study of Intra-regional immigrants in Chile.

BACKGROUND: Several studies in high-income countries report better health status of immigrants compared to the local population ("healthy migrant" effect), regardless of their socioeconomic deprivation. This is known as the Latino paradox. AIM: To test the Latino paradox within Latin America by assessing the health of international immigrants to Chile, most of them from Latin American countries, and comparing them to the Chilean-born. MATERIAL AND METHODS: Secondary data analysis of the population-based CASEN survey-2006. Three health outcomes were included: disability, illness/accident, and cancer/chronic condition (dichotomous). Demographics (age, sex, marital status, urban/rural, ethnicity), socioeconomic-status (SES: educational level, employment status and household income per-capita), and material standards (overcrowding, sanitation, housing quality). Crude and adjusted weighted regression models were performed. RESULTS: One percent of Chile's population were immigrants, mainly from other Latin American countries. A "healthy migrant" effect appeared within the total immigrant population: this group had a significantly lower crude prevalence of almost all health indicators than the Chilean-born, which remained after adjusting for various demographic characteristics. However, this effect lost significance when adjusting by SES for most outcomes. The Latino paradox was not observed for international immigrants compared to the local population in Chile. Also, health of immigrants with the longest time of residency showed similar health rates to the Chilean-born. CONCLUSIONS: The Latino paradox was not observed in Chile. Protecting low SES immigrants in Chile could have large positive effects in their health at arrival and over time.

Understanding differences in access and use of healthcare between international immigrants to Chile and the Chilean-born: a repeated cross-sectional population-based study in Chile.

INTRODUCTION: International evidence indicates consistently lower rates of access and use of healthcare by international immigrants. Factors associated with this phenomenon vary significantly depending on the context. Some research into the health of immigrants has been conducted in Latin America, mostly from a qualitative perspective. This population-based study is the first quantitative study to explore healthcare provision entitlement and use of healthcare services by immigrants in Chile and compare them to the Chilean-born. METHODS: Data come from the nationally representative CASEN (Socioeconomic characterization of the population in Chile) surveys, conducted in 2006 and 2009. Self-reported immigrants were compared to the Chilean-born, by demographic characteristics (age, sex, urban/rural, household composition, ethnicity), socioeconomic status (SES: education, household income, contractual status), healthcare provision entitlement (public, private, other, none), and use of primary services. Weighted descriptive, stratified and adjusted regression models were used to analyse factors associated with access to and use of healthcare. RESULTS: There was an increase in self-reported immigrant status and in household income inequality among immigrants between 2006 and 2009. Over time there was a decrease in the rate of immigrants reporting no healthcare provision and an increase in reporting of private healthcare provision entitlement. Compared to the Chilean-born, immigrants reported higher rates of use of antenatal and gynaecological care, lower use of well-baby care, and no difference in the use of Pap smears or the number of attentions received in the last three months. Immigrants in the bottom income quintile were four times more likely to report no healthcare provision than their equivalent Chilean-born group (with different health needs, i.e. vertical inequity). Disabled immigrants were more likely to have no healthcare provision compared to the disabled Chilean-born (with similar health needs, i.e. horizontal inequity). Factors associated with immigrants' access to, and use of, healthcare were sex, urban/rural status, education and country of origin. CONCLUSION: There were significant associations between SES, and access to and use of healthcare among immigrants in Chile and a higher prevalence of no health care provision entitlement among poor and disabled immigrants compared to the Chilean-born. Changing associations between access and use of healthcare and SES among immigrants in Chile over time may reflect changes in their socio-demographic composition or in the survey methodology between 2006 and 2009.

What are the living conditions and health status of those who don't report their migration status? A population-based study in Chile.

BACKGROUND: Undocumented immigrants are likely to be missing from population databases, making it impossible to identify an accurate sampling frame in migration research. No population-based data has been collected in Chile regarding the living conditions and health status of undocumented immigrants. However, the CASEN survey (Caracterizacion Socio- Economica Nacional) asked about migration status in Chile for the first time in 2006 and provides an opportunity to set the base for future analysis of available migration data. We explored the living conditions and health of self-reported immigrants and respondents who preferred not to report their migration status in this survey. METHODS: Cross-sectional secondary analysis of CASEN survey in Chile in 2006. OUTCOMES: any disability, illness/accident, hospitalization/surgery, cancer/chronic condition (all binary variables); and the number of medical/emergency attentions received (count variables). Covariates: Demographics (age, sex, marital status, urban/rural, ethnicity), socioeconomic status (education level, employment status and household income), and material standard of living (overcrowding, sanitation, housing quality). Weighted regression models were estimated for each health outcome, crude and adjusted by sets of covariates, in STATA 10.0. RESULTS: About 1% of the total sample reported being immigrants and 0.7% preferred not to report their migration status (Migration Status - Missing Values; MS-MV). The MS-MV lived in more deprived conditions and reported a higher rate of health problems than immigrants. Some gender differences were observed by health status among immigrants and the MS-MV but they were not statistically significant. Regressions indicated that age, sex, SES and material factors consistently affected MS-MVs' chance of presenting poor health and these patterns were different to those found among immigrants. Great heterogeneity in both the MS-MV and the immigrants, as indicated by wide confidence intervals, prevented the identification of other significantly associated covariates. CONCLUSION: This is the first study to look at the living conditions and health of those that preferred not to respond their migration status in Chile. Respondents that do not report their migration status are vulnerable to poor health and may represent undocumented immigrants. Surveys that fail to identify these people are likely to misrepresent the experiences of immigrants and further quantitative and qualitative research is urgently required.

Immigrant health workers in Chile: is there a Latin American "brain drain"?

Most research on the phenomenon of "brain drain" (one-way flow of highly skilled/educated individuals) has focused on movement between the least developed and most highly developed countries. Therefore, the significance of patterns of migration to middle-income countries such as those in Latin America is less clear. The aim of this study was to outline key features of international health worker "brain drain" to Chile to promote discussion and further research on this phenomenon as it pertains to the Latin American region. The study compared immigrant health workers living in Chile to both Chilean-born health workers and other immigrants living in Chile using a qualitative nationwide dataset (the results of Chile's 2009 National Socioeconomic Characterization Survey). Demographic, socioeconomic, and health-related variables were included in the analyses, which were weighted by population to obtain nationally representative estimates. In 2009, immigrant health workers represented 2.2% of all health personnel and 2.6% of all resident immigrants in the country. While most immigrant health workers had a universitylevel education, about 25% had only a high school-level education or less. There was no statistically significant difference between the distribution of immigrant health workers' household income and that of Chilean-born health workers. A significantly higher proportion of the immigrant group reported no entitlement to health care provision. While the results of this study do not indicate a significant international health worker "brain drain" to Chile, they do suggest distinctive patterns of migration within the Latin American region. Future studies in Chile could confirm the validity of these results, using a larger sample of immigrant health workers.

Tobacco outlet density and tobacco knowledge, beliefs, purchasing behaviours and price among adolescents in Scotland.

Despite long-term falls in global adult smoking prevalence and over 50 years of tobacco control policies, adolescent smoking persists. Research suggests greater densities of tobacco retail outlets in residential neighbourhoods are associated with higher adolescent smoking rates. Policies to reduce retail outlets have therefore been identified by public health researchers as a potential 'new frontier' in tobacco control. Better understanding of the pathways linking density of tobacco retailers and smoking behaviour could support these policies. In this study we use path analysis to assess how outlet density in the home environment is related to adolescent tobacco knowledge, beliefs, retail purchases and price in Scotland. We assessed 22,049 13 and 15 year old respondents to the nationally representative cross-sectional 2010 Scottish School Adolescent Lifestyle and Substance Use Survey. Outlet density was based on Scottish Tobacco Retailers Register, 2012, data. A spatially-weighted Kernel Density Estimation measure of outlet density within 400 m of respondents' home postcode was grouped into tertiles. The analysis considered whether outlet density was associated with the number of cigarette brands adolescents could name, positive beliefs about smoking, whether smokers purchased cigarettes from shops themselves or through adult proxies and perceived cost of cigarettes. Models were stratified by adolescent smoking status. The path analyses indicated that outlet density was not associated with most outcomes, but small, significant direct effects on knowledge of cigarette brands among those who had never smoked were observed. With each increase in outlet density tertile the mean number of brands adolescents could name rose by 0.07 (mean = 1.60; SD = 1.18; range = 4). This suggests greater outlet densities may have affected adolescents' knowledge of cigarette brands but did not encourage positive attitudes to smoking, purchases from shops or lower cigarette prices. Exposure to tobacco outlets may influence adolescents' awareness of tobacco products, a potential pathway to smoking behaviour.

Is economic adversity always a killer? Disadvantaged areas with relatively low mortality rates.

OBJECTIVES: To identify areas of Britain whose residents have relatively low age specific mortality, despite experiencing long-term economic adversity. METHODS: Longitudinal, ecological study of all residents of Britain from 1971 to 2001. RESULTS: 54 of Britain's 641 parliamentary constituencies were identified as having been persistently economically disadvantaged in the period 1971-2001. Within this group, there was marked variation in age group specific mortality and in the age ranges with relatively high or low mortality. A systematic scoring process identified 18 constituencies as providing strong and consistent evidence of low mortality across a range of age groups, relative to the 54 constituencies as a whole. These 18 were labelled "resilient". Among age groups >24 years, mortality rates in the resilient areas were significantly lower than in the other economically disadvantaged areas. For example, at ages 45-59 years, the average all cause mortality rate in the resilient constituencies was 607 per 100 000 population (95% CI 574 to 641) and 728 (670 to 787) in the non-resilient constituencies (p = 0.013). CONCLUSIONS: Areas with similar adverse economic histories do not all have similarly high mortality rates. It is unlikely that a single factor explains these results. Selective migration cannot be discounted as an explanation, but particular sociocultural features of areas (including the political, economic, ethnic and religious characteristics of their population) may also be protective.

An exploratory spatial data analysis approach to understanding the relationship between deprivation and mortality in Scotland.

This paper considers the spatial characteristics of the relationship between deprivation and mortality rates in Scotland. Scotland not only has higher average mortality rates than England and Wales but the greatest spatial concentrations of the poorest health areas in Britain. Recent analysis has suggested that degree of deprivation alone cannot explain the majority of Scotland's 'excess' poor health relative to England and Wales, a finding referred to as the 'Scottish effect'. This analysis considers if the spatial patterning of deprivation could be significant to understanding of high mortality in Scotland. Exploratory spatial data analysis methods are implemented to study the spatial relationships between deprivation and standardised mortality ratios (SMRs) in post-code sectors in Scotland. Deprivation was measured using the 2001 Carstairs score, and the total number of deaths during a 3-year period around the 2001 census was used to calculate SMRs. A strong spatial relationship is observed between deprivation and mortality. Deprivation impacts mortality levels not only within the same areas but also in spatially proximate areas. It is concluded that, further research on the 'Scottish effect' can benefit from new methodological approaches which assess the variation in both the extent and spatial arrangement of deprivation and mortality in small areas.

Where Are Socioeconomically Deprived Immigrants Located in Chile? A Spatial Analysis of Census Data Using an Index of Multiple Deprivation from the Last Three Decades (1992-2012).

INTRODUCTION AND PURPOSE OF THE STUDY: Immigrants in Chile have diverse characteristics and include socioeconomically deprived populations. The location of socioeconomically deprived immigrants is important for the development of public policy intelligence at the local and national levels but their areas of residence have not been mapped in Chile. This study explored the spatial distribution of socioeconomic deprivation among immigrants in Chile, 1992-2012, and compared it to the total population. MATERIAL AND METHODS: Areas with socioeconomically deprived populations were identified with a deprivation index which we developed modelled upon the Index of Multiple Deprivation (IMD) for England. Our IMD was based upon the indicators of unemployment, low educational level (primary) and disability from Census data at county level for the three decades 1992, 2002 and 2012, for 332, 339 and 343 counties respectively. We developed two versions of the IMD one based on disadvantage among the total population and another focused upon the circumstances of immigrants only. We generated a spatial representation of the IMD using GIS, for the overall IMD score and for each dimension of the index, separately. We also compared the immigrants´ IMD to the total population´s IMD using Pearson´s correlation test. RESULTS: Results showed that socioeconomically deprived immigrants tended to be concentrated in counties in the northern and central area of Chile, in particular within the Metropolitan Region of Santiago. These were the same counties where there was the greatest concentration of socioeconomic deprivation for the total population during the same time periods. Since 1992 there have been significant change in the location of the socioeconomically deprived populations within the Metropolitan Region of Santiago with the highest IMD scores for both the total population and immigrants becoming increasingly concentrated in the central and eastern counties of the Region. CONCLUSION: This is the first study analysing the spatial distribution of socioeconomic deprivation among international immigrants and the total population in a Latin American country. Findings could inform policy makers about location of areas of higher need of social protection in Chile, for both immigrants and the total resident population in the country.

Increasing inequalities in risk of murder in Britain: trends in the demographic and spatial distribution of murder, 1981-2000.

This study analyses demographic and spatial factors that underlie the rise in murder rates seen in Britain between 1981 and 2000 and considers the possible contribution of a public health approach to the understanding of murder. Comparison of murder rates by age group and sex finds that increases occurred only among males aged 5-59 years, and were greatest among males aged 20-24 years. Analysis of the relationship with poverty at the area level, using the Breadline Britain index and deciles based on wards, demonstrates that increases in murder rates were concentrated in the poorest areas. Rates of murder have risen in the same population groups and areas that have experienced increases in suicide and may be associated with worsening social and spatial inequality.

Difficult Life Events, Selective Migration and Spatial Inequalities in Mental Health in the UK.

OBJECTIVE: Research has indicated that people moving towards neighbourhoods with disadvantaged socio-economic status have poor health, in particular mental health, but the reasons for this are unclear. This study aims to assess why people moving towards more socio-economically deprived areas have poor mental health. It focuses upon the role of difficult life events that may both trigger moves and damage mental health. This study investigates how mental health and socio-spatial patterns of mobility vary between people moving following difficult life events and for other reasons. METHODS: Longitudinal analysis of British Household Panel Survey data describing adults' moves between annual survey waves, pooled over ten years, 1996-2006 (N=122,892 observations). Respondents were defined as 'difficult life event movers' if they had experienced relationship breakdown, housing eviction/repossession, or job loss between waves. Respondents were categorised as moving to more or less deprived quintiles using their Census Area Statistic residential ward Carstairs score. Mental health was indicated by self-reported mental health problems. Binary logistic regression models of weighted data were adjusted for age, sex, education and social class. RESULTS: The migration rate over one year was 8.5%; 14.1% of movers had experienced a difficult life event during this time period. Adjusted regression model odds of mental health problems among difficult life event movers were 1.67 (95% CI 1.35-2.07) relative to other movers. Odds of difficult life events movers, compared to other movers, moving to a less deprived area, relative to an area with a similar level of deprivation, were 0.70 (95% CI 0.58-0.84). Odds of mental health problems among difficult life event movers relocating to more deprived areas were highly elevated at 2.40 (95% CI 1.63-3.53), relative to stayers. CONCLUSION: Difficult life events may influence health selective patterns of migration and socio-spatial trajectories, reducing moves to less deprived neighbourhoods among people with mental illness.

The general and mental health of movers to more- and less-disadvantaged socio-economic and physical environments within the UK.

Residential mobility may play an important role in influencing both individual health, by determining individual exposures to environments, and area health, by shaping area population composition. This study is the first analysis of migration within the UK to compare general and mental health among adults by age group and consider moves between neighbourhoods with different levels of both socio-economic and physical environment disadvantage. The analysis assesses 122,570 cases from the annual British Household Panel Survey, 1996-2006, based upon pooled data describing moves between consecutive waves of the survey. It assesses the rates and binary logistic regression model odds of self-reported general health and mental health problems of movers and stayers by age group. It also compares movers between Census Area Statistics wards in the UK with different levels of Carstairs and Multiple Environmental Deprivation Index (MEDIx) scores. At all ages, movers had similar or higher odds of poor general and mental health relative to non-movers. Risk of mental health problems were particularly elevated among movers and remained significant after adjustment for socio-demographic variables in most age groups. In adjusted analysis of all adults odds of poor general and mental health were most elevated among movers to more socio-economically deprived areas, with the highest odds for mental health (1.54 95% CI 1.27-1.86). In contrast, risk of poor mental health among total adults was greatest among movers to better physical environments (1.40 95% CI 1.16-1.70). This study therefore finds little evidence of 'healthy migrant effects' among recent movers within the UK and suggests movers have particularly elevated risk of mental health problems. It also indicates that selective migration may not contribute to poor health found in UK neighbourhoods with multiple physical environment deprivation. Further analysis should explore why people with mental health problems are more likely to move to socio-economically deprived neighbourhoods.

The characteristics of mobile families with young children in England and the impact of their moves on neighbourhood inequalities in maternal and child health.

This study compares the health and socio-demographic characteristics of residentially mobile families with young children in England to families that do not move and assesses the impact of their moves upon inequalities in health between neighbourhoods. The analysis uses data from the first two waves of the Millennium Cohort Study describing 9022 cohort members, born in 2000-2002, and their families. A third of the families moved between the waves of the survey when the children were aged nine months and three years. Mobile families moved disproportionately toward less deprived areas but had disadvantaged socio-economic characteristics and poor outcomes for infant's birth weight and accidents and mother's self-rated health, limiting longstanding illness and mental health. Health outcomes were worst among the minority moving to more deprived neighbourhoods. Families' moves moderately increased health inequalities between neighbourhoods with high and low deprivation.