Area based measures of social and economic circumstances: cause specific mortality patterns depend on the choice of index

Individual-based socioeconomic vulnerability and deprivation indices: a scoping review

Several individual-based social deprivation and vulnerability indices have been developed to measure the negative impact of low socioeconomic status on health outcomes. However, their variables and measurable characteristics have not been unequivocally assessed. A comprehensive database literature scoping review was performed to identify all individual-based social deprivation and vulnerability indices. Area-based indices and those developed for pediatric populations were excluded. Data were extracted from all eligible studies and their methodology was assessed with quality criteria. A total of 14 indices were identified, of which 64% (9/14) measured social deprivation and 36% (5/14) measured socioeconomic vulnerability. Sum of weights was the most common scoring system, present in 43% (6/14) of all indices, with no exclusive domains to either vulnerability or deprivation indices. A total of 83 different variables were identified; a very frequent variable (29%; 5/14) related to an individual's social relationships was "seen any family or friends or neighbors." Only five deprivation indices reported a specific internal consistency measure, while no indices reported data on reproducibility. This is the first scoping review of individual-based deprivation and vulnerability indices, which may be used interchangeably when measuring the impact of SES on health outcomes.

Associations between social fragmentation, socioeconomic deprivation and suicide risk across 1887 municipalities in Japan, 2009-2017: a spatial analysis using the Bayesian hierarchical model

OBJECTIVE

Previous studies have indicated that spatial variation in suicide mortality is associated with area-specific socioeconomic characteristics, such as socioeconomic deprivation and social fragmentation. However, most of these studies have been conducted in the West and findings from Asian countries are limited. This study aims to investigate associations between socioeconomic characteristics and suicide mortality rates across 1887 municipalities in Japan between 2009 and 2017. We also assessed these associations by gender and age group.

METHODS

Suicide data were obtained from the suicide statistics of the Ministry of Health, Labour and Welfare in Japan and included information on the number of suicides by gender, age and municipality location. Social fragmentation, socioeconomic deprivation and urbanicity were used as socioeconomic characteristics in this study and were created from survey data obtained from the 2010 census. Bayesian hierarchical models were used to examine associations between socioeconomic characteristics and suicide risk.

RESULTS

Suicide rates were significantly higher in municipalities with higher levels of deprivation, with a rate ratio of 1.13 (95% credible interval: 1.10 to 1.17) in the highest quartile compared with the lowest. Higher levels of urbanicity had significantly lower suicide rates, with a rate ratio of 0.79 (95% credible interval: 0.77 to 0.82) in the highest quartile compared with the lowest. However, associations between exposures and suicide varied considerably by gender and age. Among both men and women aged 0-39 years, fragmentation was significantly associated with suicide, with rate ratios of 1.07 and 1.15 for men and women, respectively, in the highest quartile compared with the lowest.

CONCLUSION

Suicide prevention in Japan should particularly focus on areas with high levels of deprivation or low levels of urbanicity. Furthermore, young Japanese people residing in the most fragmented municipalities were also at high risk of suicide, and appropriate measures need to be taken.

Genome-wide meta-analysis of brain volume identifies genomic loci and genes shared with intelligence

The phenotypic correlation between human intelligence and brain volume (BV) is considerable (r ≈ 0.40), and has been shown to be due to shared genetic factors. To further examine specific genetic factors driving this correlation, we present genomic analyses of the genetic overlap between intelligence and BV using genome-wide association study (GWAS) results. First, we conduct a large BV GWAS meta-analysis (N = 47,316 individuals), followed by functional annotation and gene-mapping. We identify 18 genomic loci (14 not previously associated), implicating 343 genes (270 not previously associated) and 18 biological pathways for BV. Second, we use an existing GWAS for intelligence (N = 269,867 individuals), and estimate the genetic correlation (rg) between BV and intelligence to be 0.24. We show that the rg is partly attributable to physical overlap of GWAS hits in 5 genomic loci. We identify 92 shared genes between BV and intelligence, which are mainly involved in signaling pathways regulating cell growth. Out of these 92, we prioritize 32 that are most likely to have functional impact. These results provide information on the genetics of BV and provide biological insight into BV's shared genetic etiology with intelligence.

Residential Socioeconomic Environments and Areca Nut Use in Taiwan: A Comparison with Alcohol and Tobacco Use in Multilevel Analysis

While the association between residential socioeconomic environments and the use of globally common substances such as alcohol and tobacco has been well documented in Western countries, it remains little known about regionally important substances, such as areca nut in Asia. Objective: This study was aimed to develop residential environmental indicators in the context of Taiwan and examine their associations with areca nut use, in comparison to alcohol and tobacco use. Methods: Data were drawn from 13,392 adults across 168 townships in the 2014 National Survey on Substance Use in Taiwan. Residential socioeconomic environment variables were derived from the census and analyzed using factor analysis. Multilevel logistic regression models were used to examine the association of individual- and residential-level factors with the use of areca nut (use/nonuse), alcohol (harmful use, low-risk use, or nonuse), and tobacco (nicotine dependence, regular active use, or nonuse). Results: A three-factor structure of socioeconomic environments derived from 16 residential-level variables consisted of Rural Disadvantage, Affluence, and Family Fragmentation. Multilevel analyses showed that areca nut use was associated with both individual-level (male sex, age group 35-44 years, being divorced/widowed/separated, low educational attainment, and the occupational group of labors) and residential-level (Rural Disadvantaged and Family Fragmented) variables; such a profile was most similar to that of nicotine dependence. Conclusions: A three-factor structure could be derived for the residential-level socioeconomic environments in the Taiwanese context. Rural Disadvantaged and Family Fragmented were associated with areca nut use, which have implications for interventions targeted at the community level.

Altered Cortical Brain Structure and Increased Risk for Disease Seen Decades After Perinatal Exposure to Maternal Smoking: A Study of 9000 Adults in the UK Biobank

Secondhand smoke exposure is a major public health risk that is especially harmful to the developing brain, but it is unclear if early exposure affects brain structure during middle age and older adulthood. Here we analyzed brain MRI data from the UK Biobank in a population-based sample of individuals (ages 44-80) who were exposed (n = 2510) or unexposed (n = 6079) to smoking around birth. We used robust statistical models, including quantile regressions, to test the effect of perinatal smoke exposure (PSE) on cortical surface area (SA), thickness, and subcortical volumes. We hypothesized that PSE would be associated with cortical disruption in primary sensory areas compared to unexposed (PSE-) adults. After adjusting for multiple comparisons, SA was significantly lower in the pericalcarine (PCAL), inferior parietal (IPL), and regions of the temporal and frontal cortex of PSE+ adults; these abnormalities were associated with increased risk for several diseases, including circulatory and endocrine conditions. Sensitivity analyses conducted in a hold-out group of healthy participants (exposed, n = 109, unexposed, n = 315) replicated the effect of PSE on SA in the PCAL and IPL. Collectively our results show a negative, long term effect of PSE on sensory cortices that may increase risk for disease later in life.

Ethnic density and other neighbourhood associations for mortality in severe mental illness: a retrospective cohort study with multi-level analysis from an urbanised and ethnically diverse location in the UK

BACKGROUND

Neighbourhood social context might play a role in modifying mortality outcomes in severe mental illness, but has received little attention to date. Therefore, we aimed to assess in an ethnically diverse and urban location the association of neighbourhood-level characteristics and individual-level factors for all-cause, natural-cause, and unnatural-cause mortality in those with severe mental illness.

METHODS

We did a retrospective cohort study using a case-registry from a large secondary mental health-care Trust in an ethnically diverse and urban location in south London, UK. Linked data for deaths and areas of residence were identified from the case-registry. We included all individuals aged 15 years or more at the time of diagnosis for a severe mental illness from Jan 1, 2007, to Dec 31, 2014. We used individual-level information in our analyses, such as gender, marital status, and the presence of current or previous substance use disorders. We assessed neighbourhood or area-level indicators at the Lower Super Output Area level. Association of neighbourhood-level characteristics, which included the interaction between ethnicity and own ethnic density, deprivation, urbanicity, and social fragmentation, alongside individual-level factors for all-cause, natural-cause, and unnatural-cause mortality in those with severe mental illness was assessed.

FINDINGS

A total of 18 201 individuals were included in this cohort for analyses, with a median follow-up of 6·36 years. There were 1767 (9·7%) deaths from all causes, 1417 (7·8%) from natural causes, and 192 (1·1%) from unnatural causes. In the least ethnically dense areas, the adjusted rate ratio (aRR) for all-cause mortality in ethnic minority groups with severe mental illness compared with white British people with severe mental illness were similar (aRR 0·96, 95% CI 0·71-1·29); however in the highest ethnic density areas, ethnic minority groups with severe mental illness had a lower risk of death (aRR 0·52, 95% CI 0·38-0·71; p<0·0001), with similar trends for natural-cause mortality (p=0·071 for statistical interaction). In the cohort with severe mental illness, residency in deprived, urban, and socially fragmented neighbourhoods was not associated with higher mortality rates. Compared with the general population, age-standardised and gender-standardised mortality ratios were elevated in the cohort with severe mental illness across all neighbourhood-level characteristics assessed.

INTERPRETATION

For ethnic minority groups with severe mental illness, residency in areas of higher own-group ethnic density is associated with lower mortality compared to white British groups with severe mental illness.

FUNDING

Health Foundation, National Institute for Health Research, EU Seventh Framework, and National Institute of Mental Health.

Associating Locality-Level Characteristics With Surviving the Holocaust: A Multilevel Approach to the Odds of Being Deported and to Risk of Death Among Jews Living in Dutch Municipalities

Characteristics of the localities in which Jews lived have received little attention in research on Holocaust-related deaths. We examined associations between locality-level and individual-level characteristics with the odds of being deported by applying multilevel mixed-effects logistic regression models to data for about 118,000 Jews in 102 Dutch municipalities listed in 1941-1942 and linked to postwar victims and returnees lists. We examined associations between individual-level characteristics and risk of death of deported Jews in multilevel mixed-effects Weibull regression models. Locality-level characteristics, per standard deviation increase, associated with higher deportation chance were more collaborating policemen (OR = 1.07, 95% CI: 1.02, 1.12), strongest segregation mentality (OR = 2.01, 95% CI: 1.15, 3.50), and less employment in agriculture (OR = 0.95, 95% CI: 0.88, 1.01). Higher percentage of Catholics (OR = 0.81, 95% CI: 0.70, 0.94) and stronger electoral support for the National Socialist Movement (OR = 0.90, 95% CI: 0.85, 0.97) unexpectedly reduced deportation chance. Individual-level characteristics associated with lower deportation chance were female sex, ages 0-5 or 15-30 years, and being immigrants, intermarried, or converts to Christianity. Deported males aged 15-30 years had reduced risk of death between July 1942 and July 1943 but increased risk thereafter, consistent with young adult men being selected for work after deportation but this selection not offering long-term protection. Holocaust survival chances were influenced by both locality-level and individual-level characteristics.

Spatial distribution and temporal trends in social fragmentation in England, 2001-2011: a national study

OBJECTIVE

Social fragmentation is commonly examined in epidemiological studies of mental illness as high levels of social fragmentation are often found in areas with high prevalence of mental illness. In this study, we examine spatial and temporal patterns of social fragmentation and its underlying indicators in England over time.

SETTING

Data for social fragmentation and its underlying indicators were analysed over the decennial Censuses (2001-2011) at a small area geographical level (mean of 1500 people). Degrees of social fragmentation and temporal changes were spatially visualised for the whole of England and its 10 administrative regions. Spatial clustering was quantified using Moran's I; changes in correlations over time were quantified using Spearman's ranking correlation.

RESULTS

Between 2001 and 2011, we observed a strong persistence for social fragmentation nationally (Spearman's r=0.93). At the regional level, modest changes were observed over time, but marked increases were observed for two of the four social fragmentation underlying indicators, namely single people and those in private renting. Results supported our hypothesis of increasing spatial clustering over time. Moderate regional variability was observed in social fragmentation, its underlying indicators and their clustering over time.

CONCLUSION

Patterns of social fragmentation and its underlying indicators persisted in England which seem to be driven by the large increases in single people and those in private renting. Policies to improve social cohesion may have an impact on the lives of persons who experience mental illness. The spatial aspect of social fragmentation can inform the targeting of health and social care interventions, particularly in areas with strong social fragmentation clustering.

The development of an index of rural deprivation: A case study of Norfolk, England

Geographical deprivation indices such as the English Index of Multiple Deprivation (IMD) have been widely used in healthcare research and planning since the mid-1980s. However, such indices normally provide a measure of disadvantage for the whole population and can be inflexible to adaptation for specific geographies or purposes. This can be an issue, as the measurement of deprivation is subjective and situationally relative, and the type of deprivation experienced within rural areas may differ from that experienced by urban residents. The objective of this study was to develop a Rural Deprivation Index (RDI) using the English county of Norfolk as a case study, but with a view to adopting a flexible approach that could be used elsewhere. It is argued that the model developed in this research gives clarity to the process of populating an index and weighting it for a specific purpose such as rural deprivation. This is achieved by 'bundling' highly correlated indicators that are applicable to both urban and rural deprivation into one domain, and creating a separate domain for indicators relevant to the setting of interest, in this case rural areas. A further domain is proposed to account for population differences in rural areas. Finally, a method was developed to measure variability in deprivation within small areas. The RDI results in more rural areas in Norfolk falling in the most deprived quintile, particularly those classified as 'Rural town and fringe in sparse settings'; these areas also have high levels of heterogeneity of deprivation when using the variability measure created. This model proposed has the potential to provide a starting point for those who wish to create a summary deprivation measure taking into account rurality, or other local geographic factors, and as part of a range of approaches that can be used to allocate, or apply for, resources.

Genome-wide association study of habitual physical activity in over 377,000 UK Biobank participants identifies multiple variants including CADM2 and APOE

BACKGROUND/OBJECTIVES

Physical activity (PA) protects against a wide range of diseases. Habitual PA appears to be heritable, motivating the search for specific genetic variants that may inform efforts to promote PA and target the best type of PA for each individual.

SUBJECTS/METHODS

We used data from the UK Biobank to perform the largest genome-wide association study of PA to date, using three measures based on self-report (nmax = 377,234) and two measures based on wrist-worn accelerometry data (nmax = 91,084). We examined genetic correlations of PA with other traits and diseases, as well as tissue-specific gene expression patterns. With data from the Atherosclerosis Risk in Communities (ARIC; n = 8,556) study, we performed a meta-analysis of our top hits for moderate-to-vigorous PA (MVPA).

RESULTS

We identified ten loci across all PA measures that were significant in both a basic and a fully adjusted model (p < 5 × 10-9). Upon meta-analysis of the nine top hits for MVPA with results from ARIC, eight were genome-wide significant. Interestingly, among these, the rs429358 variant in the APOE gene was the most strongly associated with MVPA, whereby the allele associated with higher Alzheimer's risk was associated with greater MVPA. However, we were not able to rule out possible selection bias underlying this result. Variants in CADM2, a gene previously implicated in obesity, risk-taking behavior and other traits, were found to be associated with habitual PA. We also identified three loci consistently associated (p < 5 × 10-5) with PA across both self-report and accelerometry, including CADM2. We found genetic correlations of PA with educational attainment, chronotype, psychiatric traits, and obesity-related traits. Tissue enrichment analyses implicate the brain and pituitary gland as locations where PA-associated loci may exert their actions.

CONCLUSIONS

These results provide new insight into the genetic basis of habitual PA, and the genetic links connecting PA with other traits and diseases.

Molecular Genetic Contributions to Social Deprivation and Household Income in UK Biobank

Individuals with lower socio-economic status (SES) are at increased risk of physical and mental illnesses and tend to die at an earlier age [1, 2, 3]. Explanations for the association between SES and health typically focus on factors that are environmental in origin [4]. However, common SNPs have been found collectively to explain around 18% of the phenotypic variance of an area-based social deprivation measure of SES [5]. Molecular genetic studies have also shown that common physical and psychiatric diseases are partly heritable [6]. It is possible that phenotypic associations between SES and health arise partly due to a shared genetic etiology. We conducted a genome-wide association study (GWAS) on social deprivation and on household income using 112,151 participants of UK Biobank. We find that common SNPs explain 21% of the variation in social deprivation and 11% of household income. Two independent loci attained genome-wide significance for household income, with the most significant SNP in each of these loci being rs187848990 on chromosome 2 and rs8100891 on chromosome 19. Genes in the regions of these SNPs have been associated with intellectual disabilities, schizophrenia, and synaptic plasticity. Extensive genetic correlations were found between both measures of SES and illnesses, anthropometric variables, psychiatric disorders, and cognitive ability. These findings suggest that some SNPs associated with SES are involved in the brain and central nervous system. The genetic associations with SES obviously do not reflect direct causal effects and are probably mediated via other partly heritable variables, including cognitive ability, personality, and health.

•

Common SNPs explain 21% of social deprivation and 11% of household income

•

Two loci attained genome-wide significance for household income

•

Genes in these loci have been linked to synaptic plasticity

•

Genetic correlations were found between both measures of SES and many other traits

The area level association between suicide, deprivation, social fragmentation and population density in the Republic of Ireland: a national study

PURPOSE

Numerous studies have examined the ecological relationship between suicide and area level determinants such as deprivation and social fragmentation. In Ireland, there is considerable geographic variation in the rates of suicide. However, there is a dearth of Irish studies investigating the geographic variability of suicide.

METHODS

The Irish Central Statistics Office (CSO) provided data relating to all deaths by suicide and deaths of undetermined intent that occurred from 2009 to 2011. Negative binomial regression was used to examine the relationship between area level suicide rates and measures of deprivation, social fragmentation and population density that were taken from the 2011 National Census.

RESULTS

Overall deprivation had the strongest independent effect on small-area rates of suicide, with the most deprived areas showing the greatest risk of suicide (risk ratio = 2.1; 95 % CI 1.70-2.52). Low population density (rurality) was associated with an increased risk suicide in males across both age groups and among females in the older 40-64-year age group. Conversely, a weak association between high population density (urbanicity) and increased suicide risk was found among females in the 15-39-year age group. Associations with social fragmentation only became apparent in the sub group analysis. Social fragmentation was associated with an elevated risk of suicide in the older 40-64 age group, with this effect being most pronounced among females.

CONCLUSION

The findings of this study demonstrate marked geographical inequalities in the distribution of suicide in Ireland and highlight the importance of targeting suicide prevention resources in the most deprived areas.

Socioeconomic disparities in childhood cancer survival in Switzerland

In this study, we investigated whether childhood cancer survival in Switzerland is influenced by socioeconomic status (SES), and if disparities vary by type of cancer and definition of SES (parental education, living condition, area-based SES). Using Cox proportional hazards models, we analyzed 5-year cumulative mortality in all patients registered in the Swiss Childhood Cancer Registry diagnosed 1991-2006 below 16 years. Information on SES was extracted from the Swiss census by probabilistic record linkage. The study included 1602 children (33% with leukemia, 20% with lymphoma, 22% with central nervous system (CNS) tumors); with an overall 5-year survival of 77% (95%CI 75-79%). Higher SES, particularly parents' education, was associated with a lower 5-year cumulative mortality. Results varied by type of cancer with no association for leukemia and particularly strong effects for CNS tumor patients, where mortality hazard ratios for the different SES indicators, comparing the highest with the lowest group, ranged from 0.48 (95%CI: 0.28-0.81) to 0.71 (95%CI: 0.44-1.15). We conclude that even in Switzerland with a high quality health care system and mandatory health insurance, socioeconomic differences in childhood cancer survival persist. Factors causing these survival differences have to be further explored, to facilitate universal access to optimal treatment and finally eliminate social inequalities in childhood cancer survival.

Socioeconomic position in childhood and cancer in adulthood: a rapid-review

Background

The relationship of childhood socioeconomic position (SEP) to adult cancer has been inconsistent in the literature and there has been no review summarising the current evidence focused solely on cancer outcomes.

Methods and results

We performed a rapid review of the literature, which identified 22 publications from 13 studies, primarily in the UK and northern European countries that specifically analysed individual measures of SEP in childhood and cancer outcomes in adulthood. Most of these studies adjusted for adult SEP as a critical mediator of the relationship of interest.

Conclusions

Results confirm that childhood socioeconomic circumstances have a strong influence on stomach cancer and are likely to contribute, along with adult circumstances, to lung cancer through cumulative exposure to smoking. There was also some evidence of increased risk of colorectal, liver, cervical and pancreatic cancers with lower childhood SEP in large studies, but small numbers of cancer deaths made these estimates imprecise. Gaps in knowledge and potential policy implications are presented.

A new reliable index to measure individual deprivation: the EPICES score

BACKGROUND

Deprivation is associated with inequalities in health care and higher morbidity and mortality. To assess the reliability of a new individual deprivation score, the EPICES score and to analyse the association between the Townsend index, the Carstairs index and the EPICES score and causes of death in one French administrative region.

METHODS

Eligible patients were 16 years old or more who had come for consultation in Health Examination Centres of the French administrative region of Nord-Pas-de-Calais. An ecological study was performed between 2002 and 2007 in the 392 districts of this administrative region. The EPICES score was compared with the Townsend and the Carstairs indices. These three measurements of deprivation were compared with social characteristics, indicators of morbidity, health-care use and mortality and specific causes of death. The Pearson correlation coefficients were calculated to assess the reliability of the EPICES score. The association between deprivation and mortality was assessed by comparison of the standardized mortality ratio (SMR) between the most and least deprived districts.

RESULTS

The EPICES score was strongly correlated with the Townsend and Carstairs indices and with the health indicators measured. SMR increased with deprivation and the higher the deprivation the higher the SMR for all-cause mortality, premature and avoidable deaths and for most specific causes of death.

CONCLUSION

The individual deprivation EPICES score is reliable. Deprivation was related to excess death rate, which clearly indicates that deprivation is a determinant factor that should be considered systematically by health policy makers and health-care providers.

Neighbourhood social fragmentation and the mental health of children in poverty

Using data from 7,776 Millennium Cohort Study children in England, we examined the role of neighbourhood social fragmentation in trajectories of emotional/behavioural problems at ages three, five and seven, and in moderating the association of children's emotional/behavioural problems with neighbourhood poverty, family poverty and adverse family events. Allowing for key background characteristics, social fragmentation generally added little to explain child outcomes, but there were fewer conduct problems among children in poor neighbourhoods with less fragmentation. Surprisingly, in less fragmented neighbourhoods poor families tended to feel less safe and more distressed, which was associated with children's conduct problems.

Individualized and institutionalized residential place-based discrimination and self-rated health: a cross-sectional study of the working-age general population in Osaka city, Japan

BACKGROUND

Several studies have reported that individualized residential place-based discrimination (PBD) affects residents' health. However, studies exploring the association between institutionalized PBD and health are scarce, especially in Asian countries including Japan.

METHODS

A cross-sectional study was conducted with random two-stage sampling of 6191 adults aged 25-64 years in 100 census tracts across Osaka city in 2011. Of 3244 respondents (response rate 52.4%), 2963 were analyzed using multilevel logistic regression to examine the association of both individualized and institutionalized PBD with self-rated health (SRH) after adjustment for individual-level factors such as socioeconomic status (SES). An area-level PBD indicator was created by aggregating individual-level PBD responses in each tract, representing a proxy for institutionalized PBD, i.e., the concept that living in a stigmatized neighborhood affects neighborhood health. 100 tracts were divided into quartiles in order. The health impact of area-level PBD was compared with that of area-level SES indicators (quartile) such as deprivation.

RESULTS

After adjustment for individual-level PBD, the highest and third area-level PBD quartiles showed odds ratio (OR) 1.57 (95% credible interval: 1.13-2.18) and 1.38 (0.99-1.92), respectively, for poor SRH compared with the lowest area-level PBD quartile. In a further SES-adjusted model, ORs of area-level PBD (highest and third quartile) were attenuated to 1.32 and 1.31, respectively, but remained marginally significant, although those of the highest area-level not-home-owner (census-based indicator) and deprivation index quartiles were attenuated to 1.26 and 1.21, respectively, and not significant. Individual-level PBD showed significant OR 1.89 (1.33-2.81) for poor SRH in an age, sex, PBD and SES-adjusted model.

CONCLUSION

Institutionalized PBD may be a more important environmental determinant of SRH than other area-level SES indicators such as deprivation. Although it may have a smaller health impact than individualized PBD, attention should be paid to invisible and unconscious aspects of institutionalized PBD to improve residents' health.

The relationship between social fragmentation and sleep among adolescents living in Boston, Massachusetts

BACKGROUND

Sufficient sleep is needed for the healthy development of youth. However, only a small minority of adolescents obtain adequate amounts of sleep. Although individual-level correlates of sleep have been identified, studies investigating the influence of the environment on sleep are warranted.

METHODS

By using cross-sectional data collected from 1878 urban adolescents living in 38 neighborhoods participating in the 2008 Boston Youth Survey (BYS), we determined the association between neighborhood social fragmentation and sleep. Social fragmentation of each participant's residential neighborhood was composed using 2010 US Census data. Multilevel regression models were used to determine the association between social fragmentation and meeting the recommended hours of sleep (>8.5 h) and sleep duration while controlling for individual-level sex, race, age and nativity.

RESULTS

Moderate (OR = 0.51, 95% CI = 0.27, 0.97) and high (OR = 0.33, 95% CI = 0.18, 0.61) social fragmentation within the residential neighborhood was associated with a decreased likelihood of obtaining adequate sleep. Those in moderate (β = -23.9, 95% CI = -43.1, -4.8) and high (β = -22.1, 95% CI = -43.3, -0.9) socially fragmented neighborhoods obtained fewer minutes of sleep per night.

CONCLUSIONS

Social fragmentation may be an important determinant of sleep among youth living in urban settings.

A Swiss neighbourhood index of socioeconomic position: development and association with mortality

BACKGROUND

Area-based measures of socioeconomic position (SEP) suitable for epidemiological research are lacking in Switzerland. The authors developed the Swiss neighbourhood index of SEP (Swiss-SEP).

METHODS

Neighbourhoods of 50 households with overlapping boundaries were defined using Census 2000 and road network data. Median rent per square metre, proportion households headed by a person with primary education or less, proportion headed by a person in manual or unskilled occupation and the mean number of persons per room were analysed in principle component analysis. The authors compared the index with independent income data and examined associations with mortality from 2001 to 2008.

RESULTS

1.27 million overlapping neighbourhoods were defined. Education, occupation and housing variables had loadings of 0.578, 0.570 and 0.362, respectively, and median rent had a loading of -0.459. Mean yearly equivalised income of households increased from SFr42 000 to SFr72 000 between deciles of neighbourhoods with lowest and highest SEP. Comparing deciles of neighbourhoods with lowest to highest SEP, the age- and sex-adjusted HR was 1.38 (95% CI 1.36 to 1.41) for all-cause mortality, 1.83 (95% CI 1.71 to 1.95) for lung cancer, 1.48 (95% CI 1.44 to 1.51) for cardiovascular diseases, 2.42 (95% CI 1.94 to 3.01) for traffic accidents, 0.93 (95% CI 0.85 to 1.02) for breast cancer and 0.86 (95% CI 0.78 to 0.95) for suicide.

CONCLUSIONS

Developed using a novel approach to define neighbourhoods, the Swiss-SEP index was strongly associated with household income and some causes of death. It will be useful for clinical- and population-based studies, where individual-level socioeconomic data are often missing, and to investigate the effects on health of the socioeconomic characteristics of a place.

Social economic inequalities and mental health II. Methodological aspects and literature review

Summary

Objective - This study provides a framework for mental health inequalities beginners. It describes the methods used to measure socio economic inequalities and the inter-relations with different aspects of mental health: residence, mental health services organisation and main diagnostic categories. Method - Literature electronic-search on Medline, Psyclit, Econlit, Social Science Index and SocioSearch usingand relating the key-words inequalities, deprivation, poverty, socio-economic status, social class, occupational class, mental health for the period 1965-2002 (June). The articles selected were integrated with manual search (publications of the same authors, cross-references, working documents and reports of international andregional organisations). Results - Inequality is not an absolute concept and, mainly, it has been changing during the last years. For example, the integration and re-definition of variables that capture, in simple indices, a complex reality; the accent on social more than on economic aspects; the geo-validity and time-reference of the inequality's indices. Moreover, the inequalities could be the result of individual preferences, in this case, the social selectionand social causation issues will raise the suitability for a public intervention. Conclusions - Up to now, research has been mainly concentrated in describing and measuring health inequalities. For designing effective interventions, policy makers need to ground decisions on health-socioeconomic inequalities explanatory models.

Declaration of Interest

this work was partly funded by the Department of the Public Health Sciences “G. Sanarelli” of the University of Rome “La Sapienza” and the Department of Medicine and Public Health of the University of Verona.

Material versus social deprivation and health: a case study of an urban area

Socioeconomic factors are one of the main determinants of health inequalities. However, which component of socioeconomic status affects health most and how that relationship should be measured remains an open question. The aim of this study was to compare material and social deprivation indexes in order to determine which better explains health inequalities within an urban area. Following a review of the literature on small area deprivation indexes, a case study of the Italian city Genoa is presented. The city of Genoa is split into 71 small areas [urbanistic units (UU)], each of which has about 9,500 inhabitants. For each small area, socioeconomic indicators were extracted from the 2001 Census, whereas health indicators were computed from the death registry for 2001-2003. Factorial analyses was used to choose the deprivation variables, which were utilised to create two distinct deprivation indexes referring to material and social deprivation, respectively. Both deprivation indexes are positively correlated with health status proxied by standardised mortality ratios (SMRs) under 65. The material index, however, correlates more highly with SMRs than the social index, and thus the material index is the more suitable measure to explain variations in premature mortality within an urban area. Moreover, the two indexes must be kept distinct.

Neighbourhood characteristics and trajectories of health functioning: a multilevel prospective analysis

BACKGROUND

Prospective data from over 10 years of follow-up were used to examine neighbourhood deprivation, social fragmentation and trajectories of health.

METHODS

From the third phase (1991-93) of the Whitehall II study of British civil servants, SF-36 health functioning was measured on up to five occasions for 7834 participants living in 2046 census wards. Multilevel linear regression models assessed the Townsend deprivation index and social fragmentation index as predictors of initial health and health trajectories.

RESULTS

Independent of individual socioeconomic factors, deprivation was inversely associated with initial SF-36 physical component summary (PCS) score. Social fragmentation was not associated with PCS scores. Deprivation and social fragmentation were inversely associated with initial mental component summary (MCS) score. Neighbourhood characteristics were not associated with trajectories of PCS score or MCS score for the whole set. However, restricted analysis on longer term residents revealed that residents in deprived or socially fragmented neighbourhoods had lowest initial and smallest improvements in MCS score.

CONCLUSIONS

This longitudinal study provides evidence that residence in a deprived or fragmented neighbourhood is associated with poorer mental health and that longer exposure to such neighbourhood environments has incremental effects. Associations between physical health functioning and neighbourhood characteristics were less clear. Mindful of the importance of individual socioeconomic factors, the findings warrant more detailed examination of materially and socially deprived neighbourhoods and their consequences for health.

The area-level association between hospital-treated deliberate self-harm, deprivation and social fragmentation in Ireland

BACKGROUND

The extensive literature on the area-level association between socioeconomic characteristics and suicide indicates that the more deprived and socially fragmented an area, the higher its suicide rate. Relatively few studies have examined the association between the incidence of non-fatal suicidal behaviour and area characteristics.

AIM

This study investigated the area-level association between hospital-treated deliberate self-harm, deprivation and social fragmentation in Ireland.

METHODS

During 2002-2004, the Irish National Registry of Deliberate Self Harm collected data on self-harm presentations to 38 of Ireland's 40 hospital accident and emergency (A&E) departments, using a standardised methodology that included geocoding patient addresses to small-area level. Annual deliberate self-harm incidence rates and levels of deprivation and social fragmentation were examined nationally and by geographic area. Negative binomial regression was used to investigate the small-area association between deliberate self-harm, deprivation and social fragmentation.

RESULTS

During 2002-2004, an estimated 32 777 deliberate self-harm presentations to A&E departments were made by 25 797 individuals. The total, male and female annual incidence rates were 204, 172 and 237 per 100 000, respectively. There were striking geographic differences in deliberate self-harm presentation rates which were largely explained by the distribution of deprivation, fragmentation, age and gender, and interactions between these factors. Deprivation, rather than fragmentation, had the stronger independent effect on small-area rates of self-harm.

CONCLUSIONS

The highest rates of hospital-treated deliberate self-harm in Ireland are in deprived urban areas. Priority should be given to these areas when implementing community-based interventions aimed at reducing suicidal behaviour.

The Index of Relative Socio-economic Disadvantage: general population views on indicators used to determine area-based disadvantage

OBJECTIVE

To ascertain general population perceptions of the importance of indicators comprising the Index of Relative Socio-economic Disadvantage (IRSD).

METHODS

Data for this study came from a face-to-face Health Omnibus survey of 3,001 residents in metropolitan and country South Australia, conducted in 2003.

RESULTS

Overall, respondents viewed the IRSD indicators as important. Of the 14 indicators, seven were seen as important by more than two-thirds of respondents (ranging from 90% perceiving the number of families with children and a low income important to 68% perceiving the number of one-parent families with dependent children as important). Younger respondents and those of lower educational attainment were more likely to perceive the indicators as unimportant, compared with older people. For example, 14% of people aged 15-24 vs. 5% of people aged 55-64 (p < or = 0.001) viewed the indicator 'number of one-parent families and dependent children' as unimportant.

CONCLUSIONS

While the general population generally recognises the IRSD indicators as important measures of area-based disadvantage, there were systematic age differences in the degree to which individual indicators were deemed important. There was a general lack of support for several indicators (such as proportion of people separated/divorced, houses with no cars).

IMPLICATIONS

This research raises the question of which factors are important in representing area-based disadvantage for young people and equally the use of this index when examining variations in the health of young Australians.

Community-level socio-economic status and cognitive and functional impairment in the older population

BACKGROUND

This study aimed to determine if people living in communities with higher socio-economic deprivation are at an increased risk of cognitive and functional impairment even after controlling for the effects of individual socio-economic status.

METHODS

We analysed cross-sectional data from the Medical Research Council Cognitive Function and Ageing Study which consists of a community-based sample of Cambridgeshire, Gwynedd, Newcastle, Nottingham and Oxford. The study included 13 004 men and women aged 65 years and over who were randomly selected from Family Health Services Authority computerized records after being stratified to ensure equal numbers of those aged 75 years and over and those under 75 years. The outcome measures were cognitive impairment (Mini-Mental State Exam 0-21) and functional impairment (Instrumental Activities of Daily Living and/or Activities of Daily Living disability).

RESULTS

Individuals living in more deprived areas, as measured by the Townsend deprivation score, were found to have a higher prevalence of cognitive impairment [odds ratio (OR) (most deprived versus least deprived quintile) = 2.3; 95% confidence interval (CI)1.8-3.0; P < 0.001] and functional impairment [OR (most deprived versus least) = 1.6; 95% CI 1.4-1.9; P < 0.001] after controlling for age, sex, centre effects, education and social class.

CONCLUSIONS

There is a significantly higher prevalence of cognitive impairment and functional impairment in elderly individuals living in socio-economically deprived areas regardless of their own socio-economic status. This evidence is of relevance for informing public health policy and those allocating resources for the long-term care of the elderly.

Cytotoxic drug use in treatment of dogs and cats with cancer by UK veterinary practices (2003 to 2004)

OBJECTIVES

To describe the range and frequency of cytotoxic drugs prescribed within UK veterinary practices to treat dogs and cats with cancer, determine the effect of practice demographic variables on this practice and determine the frequency with which intravenous catheters were used during administration of parenteral cytotoxic drugs.

METHODS

A postal survey of 1838 veterinary practices providing care for dogs and cats within the UK.

RESULTS

Prescription of cytotoxic drugs to treat dogs and cats with cancer during the preceding 12 months was reported by 70.8 per cent practices. The most widely prescribed agents were cyclophosphamide (65.4 per cent) and vincristine (63.5 per cent). Twenty-three per cent of responding practices had prescribed an antitumour antibiotic and 8.3 per cent had prescribed a platinum agent. The median frequency of prescription was between once a month and once every three months. Increasing frequency and range of cytotoxic drug prescription were associated with practice employment of higher numbers of veterinary surgeons and increased levels of pet insurance among practice clients. Almost a quarter of practices administering vesicant parenteral cytotoxic drugs failed to always use intravenous catheters to do so.

CLINICAL SIGNIFICANCE

Prescription of cytotoxic drugs, and therefore the potential for occupational exposure of staff, was widespread among UK veterinary practices providing care for dogs and cats.

Exceptions to the rule: Healthy deprived areas and unhealthy wealthy areas

In general, inhabitants of low socio-economic areas are unhealthier than inhabitants of high socio-economic areas, but some areas are an exception to this rule. These exceptions imply that other factors besides the socio-economic level of an area contribute to the health of the inhabitants of an area, e.g. environmental factors. In our study we concentrate on areas within the Netherlands that are healthier or unhealthier than could be expected based on their socio-economic level. This study first identifies these areas and secondly determines which area characteristics distinguish these areas from those areas where the level of health is in agreement with their socio-economic level. We used nation-wide data on neighbourhood differences in population composition (gender, age, marital status and ethnicity), urbanisation and two health indicators: mortality and hospitalisation rates. In the Netherlands, many areas are healthier or unhealthier than could be expected based on their income level alone. Areas with higher mortality rates than expected are mainly urban areas with high percentages of elderly people and persons living alone. Similar but opposite associations are observed for areas with lower mortality rates than expected, which are further characterised by a low percentage of non-western immigrants. Areas with lower hospitalisation rates than expected are mainly rural areas with few non-western immigrants. From these results, we conclude that urbanisation and residential segregation based on age, ethnicity and marital status might be important contributors to geographical health inequalities.

Trends and disparities in socioeconomic and behavioural characteristics, life expectancy, and cause-specific mortality of native-born and foreign-born populations in the United States, 1979-2003

BACKGROUND

Immigrants are a growing segment of the US population. In 2003, there were 33.5 million immigrants, accounting for 12% of the total US population. Despite a rapid increase in their numbers, little information exists as to how immigrants' health and mortality profile has changed over time. In this study, we analysed trends in social and behavioural characteristics, life expectancy, and mortality patterns of immigrants and the US-born from 1979 to 2003.

METHODS

We used national mortality and census data (1979-2003) and 1993 and 2003 National Health Interview Surveys to examine nativity differentials over time in health and social characteristics. Life tables, age-adjusted death rates, and logistic regression were used to examine nativity differentials.

RESULTS

During 1979-81, immigrants had 2.3 years longer life expectancy than the US-born (76.2 vs 73.9 years). The difference increased to 3.4 years in 1999-2001 (80.0 vs 76.6 years). Nativity differentials in mortality increased over time for major cancers, cardiovascular diseases, diabetes, respiratory diseases, unintentional injuries, and suicide, with immigrants experiencing generally lower mortality than the US-born in each period. Specifically, in 1999-2001, immigrants had at least 30% lower mortality from lung and oesophageal cancer, COPD, suicide, and HIV/AIDS, but at least 50% higher mortality from stomach and liver cancer than the US-born. Nativity differentials in mortality, health, and behavioural characteristics varied substantially by ethnicity.

CONCLUSIONS

Growing ethnic heterogeneity of the immigrant population, and its migration selectivity and continuing advantages in behavioural characteristics may partly explain the overall widening health gaps between immigrants and the US-born.

Neighborhood socioeconomic context, individual income and myocardial infarction

BACKGROUND

The incidence of myocardial infarction (MI) varies among socioeconomic groups, and geographic differences in incidence rates are observed within most urban regions. Whether spatial social differentiation gives rise to social contexts detrimental to health is still an open question. In this study, we evaluate 2 aspects of the neighborhood context as contributory factors in MI: level of economic resources and degree of socioeconomic homogeneity. We adopt a multilevel approach to analyze potential mechanisms, which involve individual social characteristics.

METHODS

We analyzed data from the SHEEP study, a population-based case-control study of first events of acute MI in Stockholm County in 1992-1994. Data on socioeconomic characteristics in neighborhoods came from total population registers of income and social circumstances.

RESULTS

The level of neighborhood socioeconomic resources had a contextual effect on the relative risk of MI after adjustment for individual social characteristics. The incidence rate ratio (IRR) in low-income, compared with high-income, neighborhoods was 1.88 for women and 1.52 for men. Although the degree of socioeconomic homogeneity in neighborhoods has less impact on MI, the IRR for men in homogenous low-income areas compared with men living in heterogeneous high-income areas was 2.65. For men, the combined exposure to low-personal disposable income and low-income level in the neighborhood seemed to have an additive effect but for women, a synergistic (supra-additive) effect was found.

CONCLUSION

The socioeconomic context of neighborhoods has an effect on cardiovascular outcomes.

Living circumstances of suicide mortality in a South African city: an ecological study of differences across race groups and sexes

In this study the importance of living area circumstances for suicide mortality was explored. Suicide mortality was assessed across race and sex groups in a South African city and the influence of area-based compositional and sociophysical characteristics on suicide risk was considered. Suicide mortality rates are highest among Whites, in particular White males. Main--and independent--dimensions of the living circumstances of residential areas (i.e., socioeconomic circumstances, economic need, and matrimony) influence age-adjusted suicide rates for both sexes but minimally so for race groups. Less favorable clusters of circumstances have a protective effect.

The ecological association between suicide rates and indices of deprivation in English local authorities

INTRODUCTION

There are several published studies that have been focused on the ecological association between suicide rates in different areas with indices of deprivation or fragmentation. Most of these studies, however, have used census-based indices of deprivation or fragmentation. In the present study the newly developed Indices of Deprivation have been used, taking into account the results of the spatial autocorrelation tests.

METHODS

Data on all deaths for which suicide or an open verdict was returned during 1996-1998 in England were subjects of this study. These data were provided by the National Confidential Inquiry into Suicide and Homicide by People with Mental Illness. The indices of deprivation and the population counts were provided by the Department of the Environment, Transport and the Region (DETR) and Office for National Statistics (ONS), respectively.

RESULTS

The results show that, in England as a whole, the rates of suicide in young and middle-aged males were strongly associated with the indices of deprivation. However, the rates of suicide in females and in older age groups were less influenced by the indices of deprivation. In the present study all the indices of deprivation tended to show a similar pattern in which a better socio-economic status of local authorities was associated with a lower rate of suicide.

CONCLUSION

These findings suggest that at the local authority level, the "hot spots" index of deprivation may represent the same level of magnitude in predicting the rates of suicide as the number of unemployed or income-deprived people. However, more studies using multilevel modelling are needed to shed more light on the ecological associations between suicide rates and socio-economic and social cohesion status.

Neighbourhood inequalities in physical inactivity: the role of neighbourhood attractiveness, proximity to local facilities and safety in the Netherlands

We investigated the association between the neighbourhood socioeconomic environment and physical inactivity, and explored the contribution of neighbourhood characteristics to this association. Data were analysed of 20-69 years old participants of the Dutch GLOBE study who lived in 78 neighbourhoods of Eindhoven (n = 8.767). The neighbourhood socioeconomic environment was assessed from aggregated self-reported information of participants' education and occupation level, and employment status. Aspects of physical inactivity investigated were based on the time spent on (a) walking and cycling to shops or work, (b) walking, cycling and gardening in leisure time, and (c) participation in sports activities. Characteristics of neighbourhoods included the proximity to food shops, general physical design of neighbourhoods, quality of green facilities, noise pollution from traffic and required police attention as evaluated by municipal services (professionals) responsible for these characteristics. Compared to those living in the most advantaged neighbourhoods, residents living in the quartile of socio-economically most disadvantaged neighbourhoods were more likely to walk or cycle to shops or work, but less likely to walk, cycle or garden in leisure time and less likely to participate in sports activities (adjusted for age, sex and individual educational level). Neighbourhood inequalities in walking or cycling to shops or work were not mediated by specific neighbourhood characteristics included in our analyses. The increased probability of almost never walking, cycling and gardening in leisure time in the most disadvantaged neighbourhoods was partly mediated by a poorer general physical design in these neighbourhoods. Similarly, the increased probability of almost never participating in sports activities in the most disadvantaged neighbourhoods was partly mediated by larger amounts of required police attention. The direction of neighbourhood inequalities differs for aspects of physical inactivity. Neighbourhood characteristics are related to physical inactivity and contribute to neighbourhood socioeconomic inequalities in physical inactivity.

Unemployment and suicide. Evidence for a causal association?

OBJECTIVES

To determine the independent associations of labour force status and socioeconomic position with death by suicide.

DESIGN

Cohort study assembled by anonymous and probabilistic record linkage of census and mortality records.

PARTICIPANTS

2.04 million respondents to the New Zealand 1991 census aged 18-64 years.

MAIN OUTCOME MEASURE

Suicide in the three years after census night.

RESULTS

The age adjusted odds ratios (95% confidence intervals) of death by suicide among 25 to 64 year olds who were unemployed compared with employed were 2.46 (1.10 to 5.49) for women and 2.63 (1.87 to 3.70) for men. Similarly increased odds ratios were observed for the non-active labour force compared with the employed. Strong age only adjusted associations of suicide death with the socioeconomic factors of education (men only), car access, and household income were observed. Compared with those who were married on census night, the non-married had odds ratios of suicide of 1.81 (1.22 to 2.69) for women and 2.08 (1.66 to 2.61) for men. In a multivariable model the association of socioeconomic factors with suicide reduced to the null. However, marital status and labour force status remained strong predictors of suicide death. Unemployment was also strongly associated with suicide death among 18-24 year old men. Sensitivity analyses suggested that confounding by mental illness might explain about half, but not all, of the association between unemployment and suicide.

CONCLUSIONS

Being unemployed was associated with a twofold to threefold increased relative risk of death by suicide, compared with being employed. About half of this association might be attributable to confounding by mental illness.

Contextual risk factors for the common mental disorders in Britain: a multilevel investigation of the effects of place

STUDY OBJECTIVE

To test hypotheses about associations between area level exposures and the prevalence of the most common mental disorders (CMD) in Britain. A statistically significant urban-rural gradient was predicted, but not a socioeconomic gradient, in the prevalence of CMD after adjusting for characteristics of individual respondents. The study tested the hypothesis that the effects of area level exposures would be greatest among those not in paid employment.

DESIGN

Cross sectional survey, analysed using multilevel logistic and linear regression. CMD were assessed using the General Health Questionnaire (GHQ). Electoral wards were characterised using the Carstairs index, the Office of National Statistics (ONS) Classification of Wards, and population density.

SETTING

England, Wales, and Scotland.

PARTICIPANTS

Nearly 9000 adults aged 16-74 living in 4904 private households, nested in 642 electoral wards.

MAIN RESULTS

Little evidence was found of statistically significant variance in the prevalence of CMD between wards, which ranged from 18.8% to 29.5% (variance 0.035, SE 0.026) (p=0.11). Associations between CMD and characteristics of wards, such as the Carstairs index, only reached statistical significance among those who were economically inactive (adjusted odds ratio for top v bottom Carstairs score quintile 1.58, 95% CI 1.08 to 2.31) (p<0.05).

CONCLUSIONS

There may be multiple pathways linking socioeconomic inequalities and ill health. The effects of place of residence on mental health are greatest among those who are economically inactive and hence more likely to spend the time at home.

Increasing inequalities in all-cause and cardiovascular mortality among US adults aged 25-64 years by area socioeconomic status, 1969-1998

BACKGROUND

This study examined the extent to which areal socio-economic gradients in all-cause and cardiovascular disease (CVD) mortality among US men and women aged 25-64 years increased between 1969 and 1998.

METHODS

Using factor analysis 17 census tract variables were used to develop an areal index of socio-economic status that was used to stratify all US counties into five socio-economic categories. By linking the index to county-level mortality data from 1969 to 1998, we calculated annual age-adjusted mortality rates for each area socio-economic group. Poisson regression models were fitted to estimate areal socio-economic gradients in mortality over time.

RESULTS

Areal socio-economic gradients in all-cause and cardiovascular mortality have increased substantially over the past three decades. Compared to men in the highest area socio-economic group, rates of all-cause and CVD mortality among men in the lowest area socio-economic group were 42% and 30% greater in 1969-1970 and 73% and 79% greater in 1997-1998, respectively. The gradients in mortality among women were steeper for CVD than for all causes. Compared to women in the highest area socio-economic group, rates of all-cause and CVD mortality among women in the lowest area socio-economic group were 29% and 49% greater in 1969-1970 and 53% and 94% greater in 1997-1998, respectively.

CONCLUSIONS

Although US all-cause and cardiovascular mortality declined for all area socio-economic groups during 1969-1998, the gradient increased because of significantly larger mortality declines in the higher socio-economic groups. Increasing areal inequalities in mortality shown here may be related to increasing temporal differences in the material and social living conditions between areas.