Differences in the health transition patterns of migrants and non-migrants aged 50 and older in southern and western Europe (2004-2015).

BACKGROUND: Most previous research on migrant health in Europe has taken a cross-sectional perspective, without a specific focus on the older population. Having knowledge about inequalities in health transitions over the life course between migrants and non-migrants, including at older ages, is crucial for the tailoring of policies to the demands of an ageing and culturally diverse society. We analyse differences in health transitions between migrants and non-migrants, specifically focusing on the older population in Europe. METHODS: We used longitudinal data on migrants and non-migrants aged 50 and older in 10 southern and western European countries from the Survey of Health, Ageing and Retirement in Europe (2004-2015). We applied multinomial logistic regression models of experiencing health deterioration among individuals in good health at baseline, and of experiencing health improvement among individuals in poor health at baseline, separately by sex, in which migrant status (non-migrant, western migrant, non-western migrant) was the main explanatory variable. We considered three dimensions of health, namely self-rated health, depression and diabetes. RESULTS: At older ages, migrants in Europe were at higher risk than non-migrants of experiencing a deterioration in health relative to remaining in a given state of self-rated health. Western migrants had a higher risk than non-migrants of becoming depressed, while non-western migrants had a higher risk of acquiring diabetes. Among females only, migrants also tended to be at lower risk than non-migrants of experiencing an improvement in both overall and mental health. Differences in the health transition patterns of older migrants and non-migrants remained robust to the inclusion of several covariates, including education, job status and health-related behaviours. CONCLUSIONS: Our findings indicate that, in addition to having a health disadvantage at baseline, older migrants in Europe were more likely than older non-migrants to have experienced a deterioration in health over the study period. These results raise concerns about whether migrants in Europe are as likely as non-migrants to age in good health. We recommend that policies aiming to promote healthy ageing specifically address the health needs of the migrant population, thereby distinguishing migrants from different backgrounds.

Neighborhood income and major depressive disorder in a large Dutch population: results from the LifeLines Cohort study.

BACKGROUND: Previous studies are inconclusive on whether poor socioeconomic conditions in the neighborhood are associated with major depressive disorder. Furthermore, conceptual models that relate neighborhood conditions to depressive disorder have not been evaluated using empirical data. In this study, we investigated whether neighborhood income is associated with major depressive episodes. We evaluated three conceptual models. Conceptual model 1: The association between neighborhood income and major depressive episodes is explained by diseases, lifestyle factors, stress and social participation. Conceptual model 2: A low individual income relative to the mean income in the neighborhood is associated with major depressive episodes. Conceptual model 3: A high income of the neighborhood buffers the effect of a low individual income on major depressive disorder. METHODS: We used adult baseline data from the LifeLines Cohort Study (N = 71,058) linked with data on the participants' neighborhoods from Statistics Netherlands. The current presence of a major depressive episode was assessed using the MINI neuropsychiatric interview. The association between neighborhood income and major depressive episodes was assessed using a mixed effect logistic regression model adjusted for age, sex, marital status, education and individual (equalized) income. This regression model was sequentially adjusted for lifestyle factors, chronic diseases, stress, and social participation to evaluate conceptual model 1. To evaluate conceptual models 2 and 3, an interaction term for neighborhood income*individual income was included. RESULTS: Multivariate regression analysis showed that a low neighborhood income is associated with major depressive episodes (OR (95 % CI): 0.82 (0.73;0.93)). Adjustment for diseases, lifestyle factors, stress, and social participation attenuated this association (ORs (95 % CI): 0.90 (0.79;1.01)). Low individual income was also associated with major depressive episodes (OR (95 % CI): 0.72 (0.68;0.76)). The interaction of individual income*neighborhood income on major depressive episodes was not significant (p = 0.173). CONCLUSIONS: Living in a low-income neighborhood is associated with major depressive episodes. Our results suggest that this association is partly explained by chronic diseases, lifestyle factors, stress and poor social participation, and thereby partly confirm conceptual model 1. Our results do not support conceptual model 2 and 3.

Differences in mortality between groups of older migrants and older non-migrants in Belgium, 2001-09.

BACKGROUND: European societies are rapidly ageing and becoming multicultural. We studied differences in overall and cause-specific mortality between migrants and non-migrants in Belgium specifically focusing on the older population. METHODS: We performed a mortality follow-up until 2009 of the population aged 50 and over living in Flanders and the Brussels-Capital Region by linking the 2001 census data with the population and mortality registers. Overall mortality differences were analysed via directly age-standardized mortality rates. Cause-specific mortality differences between non-migrants and various western and non-western migrant groups were analysed using Poisson regression models, controlling for age (model 1) and additionally controlling for socio-economic status and urban typology (model 2). RESULTS: At older ages, most migrants had an overall mortality advantage relative to non-migrants, regardless of a lower socio-economic status. Specific migrant groups (e.g. Turkish migrants, French and eastern European male migrants and German female migrants) had an overall mortality disadvantage, which was, at least partially, attributable to a lower socio-economic status. Despite the general overall mortality advantage, migrants experienced higher mortality from infectious diseases, diabetes-related causes, respiratory diseases (western migrants), cardiovascular diseases (non-western female migrants) and lung cancer (western female migrants). CONCLUSION: Mortality differences between older migrants and non-migrants depend on cause of death, age, sex, migrant origin and socio-economic status. These differences can be related to lifestyle, social networks and health care use. Policies aimed at reducing mortality inequalities between older migrants and non-migrants should address the specific health needs of the various migrant groups, as well as socio-economic disparities.

Can selective migration explain why health is worse in regions with population decline?: A study on migration and self-rated health in the Netherlands.

BACKGROUND: Health disparities between population declining and non-declining areas have received little attention, even though population decline is an established phenomenon in Europe. Selective migration, in which healthier people move out of deprived areas, can possibly explain worse health in declining regions. We assessed whether selective migration can explain the observed worse average health in declining regions as compared with non-declining regions in the Netherlands. METHODS: Combining data from the Dutch Housing and Living Survey held in 2002 and 2006 with Dutch registry data, we studied the relation between health status and migration in a 5-year period at the individual level by applying logistic regression. In our sample of 130,600 participants, we compared health status, demographic and socioeconomic factors of movers and stayers from declining and non-declining regions. RESULTS: People in the Netherlands who migrated are healthier than those staying behind [odds ratio (OR): 1.80]. This effect is larger for persons moving out of declining regions (OR: 1.76) than those moving into declining regions (OR: 1.47). When controlled for demographic and socioeconomic characteristics, these effects are not significant. Moreover, only a small part of the population migrates out of (0.29%) or into (0.25%) declining regions in the course of 5 years. CONCLUSION: Despite the relation between health and migration, the effect of selective migration on health differences between declining and non-declining regions in the Netherlands is small. Both health and migration are complexly linked with socioeconomic and demographic factors.

Regional Mortality Disparities in Germany: Long-Term Dynamics and Possible Determinants.

While regional mortality inequalities in Germany tend to be relatively stable in the short run, over the course of the past century marked changes have occurred in the country's regional mortality patterns. These changes include not only the re-emergence of stark differences between eastern and western Germany after 1970, which have almost disappeared again in the decades after the reunification of Germany in 1990; but also substantial changes in the disparities between northern and southern Germany. At the beginning of the twentieth century, the northern regions in Germany had the highest life expectancy levels, while the southern regions had the lowest. Today, this mortality pattern is reversed. In this paper, we study these long-term trends in spatial mortality disparities in Germany since 1910, and link them with theoretical considerations and existing research on the possible determinants of these patterns. Our findings support the view that the factors which contributed to shape spatial mortality variation have changed substantially over time, and suggest that the link between regional socioeconomic conditions and recorded mortality levels strengthened over the last 100 years.

Health and Its Relationship with Residential Relocations of Older People to Institutions versus to Independent Dwellings.

Research into older people's relocations to independent dwellings has largely remained separate from research into moves to institutions. Yet, both types of moves could be a response to health problems and to a certain extent they could be substitutes for each other. Using Litwak and Longino's model of moves of older people, this study assesses the extent to which three commonly used health measures (limitations in activities of daily living [ADL], self-rated health, and the prevalence of [limiting] chronic conditions) predict older people's moves to subsidized care institutions and elsewhere, in one multinomial logistic regression model. The data were derived from the POLS survey for the Netherlands (N = 8306) enriched with administrative data on subsequent moves. In line with Litwak and Longino's model, the findings indicate that older people's moves to institutions were more likely among those with more severe health problems, whereas moves elsewhere were more likely among those with moderate health problems. Among the three investigated health measures, limitations in ADL had the strongest predictive value, and was the only one for which the difference in effect between relocations to care institutions and relocations elsewhere was statistically significant.

Differences in healthy life expectancy between older migrants and non-migrants in three European countries over time.

OBJECTIVES: We analysed differences in healthy life expectancy at age 50 (HLE50) between migrants and non-migrants in Belgium , the Netherlands, and England and Wales, and their trends over time between 2001 and 2011 in the latter two countries. METHODS: Population, mortality and health data were derived from registers, census or surveys. HLE50 and the share of remaining healthy life years were calculated for non-migrants, western and non-western migrants by sex. We applied decomposition techniques to answer whether differences in HLE50 between origin groups and changes in HLE50 over time were attributable to either differences in mortality or health. RESULTS: In all three countries, older (non-western) migrants could expect to live less years in good health than older non-migrants. Differences in HLE50 between migrants and non-migrants diminished over time in the Netherlands, but they increased in England and Wales. General health, rather than mortality, mainly explained (trends in) inequalities in healthy life expectancy between migrants and non-migrants. CONCLUSIONS: Interventions aimed at reducing the health and mortality inequalities between older migrants and non-migrants should focus on prevention, and target especially non-western migrants.

Do social relations buffer the effect of neighborhood deprivation on health-related quality of life? Results from the LifeLines Cohort Study.

We investigated whether social relations buffer the effect of neighborhood deprivation on mental and physical health-related quality of life. Baseline data from the LifeLines Cohort Study (N=68,111) and a neighborhood deprivation index were used to perform mixed effect linear regression analyses. Results showed that fewer personal contacts (b, 95%CI: -0.88(-1.08;-0.67)) and lower social need fulfillment (-4.52(-4.67;-4.36)) are associated with lower mental health-related quality of life. Higher neighborhood deprivation was also associated with lower mental health related quality of life (-0.18(-0.24;-0.11)), but only for those with few personal contacts or low social need fulfillment. Our results suggest that social relations buffer the effect of neighborhood deprivation on mental health-related quality of life.

Individual- and area-level effects on mortality risk in Germany, both East and West, among male Germans aged 65+.

OBJECTIVES: This study investigates whether mortality inequalities based on individual- and area-level deprivation exist at older ages in Germany, and whether there are differences between eastern and western Germany. METHODS: Data on population and death counts according to the individual-level socioeconomic status of male German pensioners aged 65+ years in Germany in 2002-2004 were obtained from the German Federal Pension Fund. Area-level characteristics for the 439 German districts were incorporated. Multilevel Poisson models were fitted. RESULTS: Individual-level socioeconomic mortality inequalities exist among elderly men in Germany. After controlling for differential population composition in the districts, we found that district-level factors contribute to the explanation of mortality inequalities in (western) Germany. The analysis further indicated that mortality and mortality inequalities tend to be higher in more economically deprived districts, and that minor mortality differences attributable to regional conditions exist in eastern Germany. CONCLUSIONS: The results showed that regional conditions have moderate effects on health inequalities at older ages in (western) Germany, when the differential population composition in the districts is controlled for.

Widening socioeconomic differences in mortality among men aged 65 years and older in Germany.

BACKGROUND: Although socioeconomic mortality differences in Germany are well documented, trends in group-specific mortality and differences between the eastern and the western parts of the country remain unexplored. METHODS: Population and death counts by level of lifetime earnings (1995-1996 to 2007-2008) and broad occupational groups (1995-1996 to 2003-2004) for men aged 65 years and older were obtained from the German Federal Pension Fund. Directly standardised mortality rates and life expectancy at age 65 were used as mortality measures. RESULTS: Mortality declined in all socioeconomic groups in eastern and western Germany and these declines tended to be larger in higher status groups. Relative socioeconomic differences in age-standardised mortality rates and in life expectancy at age 65 widened over time. Absolute differences widened over the majority of time periods. The widening was more pronounced in eastern Germany. CONCLUSIONS: Widening socioeconomic mortality differences in Germany, especially in eastern Germany, show that population groups did not benefit equally from the improvements in survival. The results suggest that special efforts have to be taken in order to reduce mortality among people with lower socioeconomic status, especially in eastern Germany. Health equity should be considered a priority when planning policies, practices, and changes in the healthcare system and related sectors.