Role of individual and contextual effects in injury mortality: new evidence from small area analysis

Neighborhood social context and suicide mortality: A multilevel register-based 5-year follow-up study of 2.7 million individuals

Previous studies have linked neighborhood social characteristics to suicide mortality. However, the effects of the operational definition of neighborhoods and the general importance of neighborhood context on suicide mortality have received little attention, with most studies using various administrative areas as neighborhood delineations. In this study, neighborhoods were delineated by micro-areas generated with an automated redistricting algorithm and divided by physical barriers, such as large roads. The geographic data were linked to register data on the Danish adult population in the age range of 20-59 years in December 2013 (N = 2,672,799 individuals nested into 7943 neighborhoods). This cohort was followed for five years to evaluate the association between suicide mortality and neighborhood socioeconomic deprivation, social fragmentation, and population density. We used the median hazard ratio (MHR) to quantify the general contextual effect (GCE) of neighborhoods on suicide mortality and hazard ratios to quantify the specific contextual effects (SCEs) using multilevel survival models stratified by age group. The results showed a larger GCE and larger SCEs of neighborhoods on suicide mortality for individuals aged 20-39 years compared with those aged 40-59 years. After controlling for individual characteristics, higher suicide mortality was observed for individuals living in the least densely populated neighborhoods and the most socially fragmented neighborhoods for both age groups. We found cross-level interactions between neighborhood population density and gender and ethnicity for those aged 40-59 years, as well as between neighborhood social fragmentation and ethnicity for those aged 20-39 years. The results indicate that beyond individual characteristics, the neighborhood social context may affect the risk of suicide, especially for people aged 20-39 years.

[Socioeconomic inequalities in health among the elderly population in Spain]

OBJECTIVE

To examine socioeconomic inequalities in health in the older population in Spain.

METHOD

A systematic search and review of the literature published between 2000 and 2017 in English and Spanish was conducted in Social Science Citation Index, Sociology Database, Scopus, PubMed and Embase. Primary and secondary studies analysing these inequalities in Spain were included. Two researchers were responsible for the selection of the studies and the extraction of the information (first author, year of publication, region, design, population/sample, socioeconomic and health indicators used, and main results).

RESULTS

A total of 89 articles were included, corresponding to 87 studies. Of the studies, 81.6% were cross-sectional, 88.5% included only non-institutionalised population and 35.6% were carried out at a national level. The studies analysed social inequalities in the following health indicators: functional status (n=29), morbidity (n=19), self-perceived health (n=18), mental and emotional health (n=10), cognitive status (n=7), quality of life (n=9), mortality (n=15) and life expectancy (n=2). Socioeconomic inequalities were detected in all of them, although the magnitude varied depending on the socioeconomic and health indicator used. The educational level and the ecological indexes were the indicators that detected more inequalities in health. The impact of inequalities by sex was different in functional status, morbidity, self-perceived health, mental and emotional health and mortality.

CONCLUSION

There are socioeconomic inequalities in health among the elderly population and their magnitude varies by sex in some of the health indicators. The increase in educational level and the maintenance of sufficient pensions can be key policies that contribute to the reduction of inequalities in this population group.

Changes in drug and alcohol-related mortality by educational status during the 2008-2011 economic crisis: Results from a Spanish longitudinal study

INTRODUCTION

The objective was to assess changes in drug- and alcohol-related mortality by educational attainment during the last financial crisis in Spain.

METHODS

Data came from the 2001 Census Longitudinal Study. We included 22.2 million residents in Spain aged ≥35 at census date followed-up until December 2011. Outcomes were drug-related mortality (DRM) and deaths directly attributable to alcohol (DDA). Mortality risks before and during the crisis were assessed using age-standardized rates and educational inequalities by estimating age-adjusted Rate Ratios (RR) and Relative Indexes of inequality (RII) between educational groups.

RESULTS

During the first four year of the crisis, DRM and DDA in men and women increased in all educational subgroups except for DRM in men with tertiary studies (-15%). The increase in mortality was larger in those with higher educational status, with women with tertiary studies experiencing the largest increases in DRM (+100%) and DDA (+114%). Mortality risks for both outcomes followed an educational gradient before and during the crisis in men and women, with those with primary studies being at higher risk. Absolute and relative measures of inequality decreased during the crisis, except for DRM in men.

CONCLUSIONS

DRM and DDA follow an inverse educational gradient, with those with primary studies being at higher risk. During the last financial crisis, DRM decreased only in men with tertiary studies, with DRM and DDA increasing in all other groups. The increase was larger in those with higher educational status, reducing inequalities in all groups except of DRM in men.

Safe mobility, socioeconomic inequalities, and aging: A 12-year multilevel interrupted time-series analysis of road traffic death rates in a Latin American country

As the resources for road safety in developing countries are scarce and unevenly distributed, vulnerable road users -such as the elderly- may be particularly at risk of road traffic deaths. To date, the impact of road safety measures over the rate of road traffic deaths in older adults (60 years or older), considering the within-country socioeconomic inequalities, has not been explored in developing nations. This study takes the Chilean case as an example -with its 2005 traffic law reform as one of the road safety measures investigated-, in which open data available from official national sources for all its 13 regions over the 2002-2013 period were used for a multilevel interrupted time-series analysis. A statistically significant secular reduction of the rates of road traffic deaths in the elderly population was found (incidence rate ratio [IRR] 0.95, 95% confidence interval [CI] 0.91 to 0.99), but no evidence for a significant intercept or slope change after the traffic law reform was observed. Regions with the highest number of traffic offenses prosecuted in local police courts had lower rates of road traffic deaths in older adults (IRR 0.95, 95% CI 0.90 to 1.00), and those regions in the third (IRR 1.61, 95% CI 1.16 to 2.25) and the fifth (IRR 1.66, 95% CI 1.08 to 2.54) quintiles of socioeconomic deprivation had higher rates of road traffic deaths in the elderly. Such findings strongly support the conceptualization of the road safety of seniors in developing countries as a social equity issue, with implications for the design of traffic regulations and road environments.

​Is suicide mortality associated with neighbourhood social fragmentation and deprivation? A Dutch register-based case-control study using individualised neighbourhoods

Background

Neighbourhood social fragmentation and socioeconomic deprivation seem to be associated with suicide mortality. However, results are inconclusive, which might be because dynamics in the social context are not well-represented by administratively bounded neighbourhoods at baseline. We used individualised neighbourhoods to examine associations between suicide mortality, social fragmentation, and deprivation for the total population as well as by sex and age group.

Methods

Using a nested case-control design, all suicides aged 18–64 years between 2007 and 2016 were selected from longitudinal Dutch register data and matched with 10 random controls. Indices for social fragmentation and deprivation were calculated annually for 300, 600 and 1000 metre circular buffers around each subject’s residential address.

Results

Suicide mortality was significantly higher in neighbourhoods with high deprivation and social fragmentation. Accounting for individual characteristics largely attenuated these associations. Suicide mortality remained significantly higher for women living in highly fragmented neighbourhoods in the fully adjusted model. Age-stratified analyses indicate associations with neighbourhood fragmentation among women in older age groups (40–64 years) only. Among men, suicide risk was lower in fragmented neighbourhoods for those aged 18–39 years and for short-term residents. In deprived neighbourhoods, suicide risk was lower for men aged 40–64 years and long-term residents. Associations between neighbourhood characteristics and suicide mortality were comparable across buffer sizes.

Conclusion

Our findings suggest that next to individual characteristics, the social and economic context within which people live may both enhance and buffer the risk of suicide.

Area-based socioeconomic disparities in mortality due to unintentional injury and youth suicide in British Columbia, 2009-2013

INTRODUCTION

The association between health outcomes and socioeconomic status (SES) has been widely documented, and mortality due to unintentional injuries continues to rank among the leading causes of death among British Columbians. This paper quantified the SES-related disparities in the mortality burden of three British Columbia's provincial injury prevention priority areas: falls among seniors, transport injury, and youth suicide.

METHODS

Mortality data (2009 to 2013) from Vital Statistics and dissemination area or local health area level socioeconomic data from CensusPlus 2011 were linked to examine age-standardized mortality rates (ASMRs) and disparities in ASMRs of unintentional injuries and subtypes including falls among seniors (aged 65+) and transport-related injuries as well as the intentional injury type of youth suicide (aged 15 to 24). Disparities by sex and geography were examined, and relative and absolute disparities were calculated between the least and most privileged areas based on income, education, employment, material deprivation, and social deprivation quintiles.

RESULTS

Our study highlighted significant sex differences in the mortality burden of falls among seniors, transport injury, and youth suicide with males experiencing significantly higher mortality rates. Notable geographic variations in overall unintentional injury ASMR were also observed across the province. In general, people living in areas with lower income and higher levels of material deprivation had increasingly higher mortality rates compared to their counterparts living in more privileged areas.

CONCLUSION

The significant differences in unintentional and intentional injury-related mortality outcomes between the sexes and by SES present opportunities for targeted prevention strategies that address the disparities.

[Social inequalities in health among the elderly population: review of indicators used in Spain]

OBJECTIVE

To identify the indicators of social position used to evaluate inequalities in health among the population aged 65 and over in Spain.

METHOD

A systematic search of the literature published in English and Spanish since 2000 in health and social databases was carried out. Primary and secondary studies analyzing these inequalities in Spain were included. The indicators used were identified, as well as the advantages and limitations pointed out by the authors. The main findings were synthesized in a review of the literature.

RESULTS

We included 87 studies, described in 89 articles. The socioeconomic indicators employed were both individual and ecological. Among the former, educational level was the most analyzed socioeconomic variable (n=73). Other individual variables used were occupation (n=17), objective economic level (n=16), subjective economic level (n=4), housing and household material wealth (n=6), relationship with work activity (n=5), and mixed measures (n=5). Among the ecological indicators, simple (n=3) and complex indices (n=7) were identified. The latter had been constructed based on several indicators, such as educational level and unemployment. Inequalities in multiple health indicators were analyzed, self-perceived health being the only indicator assessed according to all the socioeconomic indicators described.

CONCLUSIONS

A wide variety of indicators is identified for the evaluation of social inequalities in health among the elderly population. There have not been sufficiently assessed from a gender perspective; this is a line of interest for future research.

Educational inequalities in falls mortality among older adults: population-based multiple cause of death data from Sweden

Background

Falls are the leading cause of fatal injuries among elderly adults. While socioeconomic status including education is a well-documented predictor of many individual health outcomes including mortality, little is known about socioeconomic inequalities in falls mortality among adults. This study aimed to assess educational inequalities in falls mortality among older adults in Sweden using multiple cause of death data.

Methods

All residents aged 50‒75 years in the Skåne region, Sweden, during 1998‒2013 (n=566 478) were followed until death, relocation outside Skåne or end of 2014. We identified any mention of falls on death certificates (n=1047). We defined three levels of education. We used an additive hazards model and Cox regression with age as time scale adjusted for marital status and country of birth to calculate slope and relative indices of inequality (SII/RII). We also computed the population attributable fraction of lower educational attainment. Analyses were performed separately for men and women.

Results

Both SII and RII revealed statistically significant educational inequalities in falls mortality among men in favour of high educated (SII (95% CI): 15.5 (9.8 to 21.3) per 100 000 person-years; RII: 2.19 (1.60 to 3.00)) but not among women. Among men, 34% (95% CI 19 to 46) of falls deaths were attributable to lower education.

Conclusions

There was an inverse association between education and deaths from falls among men but not women. The results suggest that individual’s education should be considered in falls reduction interventions.

Twenty years of socioeconomic inequalities in premature mortality in Barcelona: The influence of population and neighbourhood changes

The objective of this study was to analyse trends in socioeconomic inequalities in premature mortality in Barcelona from 1992 to 2011, accounting for population changes. We conducted a repeated cross-sectional study of the Barcelona population (25-64 years) using generalized linear mixed models for trend analysis, and found that socioeconomic inequalities in premature mortality persisted between neighbourhoods, but tended to diminish. However, the reduction in inequality was related to an increase in the number of foreign-born individuals mainly in socioeconomic disadvantaged neighbourhoods, in which the decrease in premature mortality was more marked. To study trends in geographical inequalities in mortality, it is essential to understand demographic changes occurred in different places related to local levels of deprivation.

A social gradient in fatal opioids and cocaine related overdoses?

Background

To determine the existence of a social gradient in fatal overdose cases related to non-prescribed opioids and cocaine use, recorded in Luxembourg between 1994 and 2011.

Methods

Overdose cases were individually matched with four controls in a nested case-control study design, according to sex, year of birth, drug administration route and duration of drug use. The study sample, composed of 272 cases and 1,056 controls, was stratified according to a Social Inequality Accumulation Score (SIAS), based on educational attainment, employment, income, financial situation of subjects and the professional status of their father or legal guardian. Least squares linear regression analysis on overdose mortality rates and ridit scores were applied to determine the Relative Index of Inequality (RII) of the study sample.

Results

A negative linear relationship between the overdose mortality rate and the relative socioeconomic position was observed. We found a difference in mortality of 29.22 overdose deaths per 100 drug users in the lowest socioeconomic group compared to the most advantaged group. In terms of the Relative Inequality Index, the overdose mortality rate of opioid and cocaine users with lowest socioeconomic profiles was 9.88 times as high as that of their peers from the highest socioeconomic group (95% CI 6.49–13.26).

Conclusions

Our findings suggest the existence of a marked social gradient in opioids and cocaine related overdose fatalities. Harm reduction services should integrate socially supportive offers, not only because of their general aim of social (re)integration but crucially in order to meet their most important objective, that is to reduce drug-related mortality.

Leaving school without qualifications and mental health problems to age 30

PURPOSE

To examine the associations between leaving school without qualifications and subsequent mental health to age 30, using data gathered over the course of a 30-year longitudinal study.

METHODS

Data were gathered over the course of a 30-year study (Christchurch Health and Development Study) of a birth cohort of 1265 children, born in Christchurch in 1977. This cohort has been studied on 22 occasions from birth to age 30. As part of this study, information was gathered on: (a) school leaving qualifications, (b) mental health problems from 18 to 30; and (c) prospectively assessed childhood and adolescent factors including: child and family background; family violence and child abuse; and adolescent mental health problems.

RESULTS

Leaving school without qualifications was associated with increased risks of subsequent: major depression (OR = 1.37 at 95 % CI 1.05-1.78, p = 0.019); anxiety disorder (OR = 1.99 at 95 % CI 1.55-2.57, p < 0.001); suicidal ideation/attempt (OR = 1.60 at 95 % CI 1.15-2.36, p = 0.005); alcohol abuse/dependence (OR = 1.54 at 95 % CI 1.20-1.98, p < 0.001); and illicit substance abuse/dependence (OR = 2.97 at 95 % CI 2.16-4.07, p < 0.001). Adjustment for the covariate factors above (family social background; family violence; child abuse and adolescent mental health problems) reduced these associations substantially and to the point of statistical non-significance.

CONCLUSIONS

The findings of this study suggest that there was no direct causal association between leaving school without qualifications and subsequent mental health problems. Associations were explained by the linkages between leaving school without qualifications and: child and family social background; and mental health around the point of school leaving.

Injury mortality and accessibility to emergency care in Japan: an observational epidemiological study

BACKGROUND

Unintentional injury is a major cause of death across the globe. The accessibility to emergency medical services may affect the rate of preventable trauma deaths. The purpose of this study was to analyze the accessibility to emergency medical hospitals in municipalities in Japan and to clarify whether accessibility was associated with the mortality rate attributed to unintentional injuries.

METHODS

An observational epidemiological study was conducted in all 1,742 municipalities in Japan. Measurements assessed were population size, accessibility to emergency hospitals, and mortality rates attributed to unintentional injuries. Accessibility of each municipality to their nearest emergency hospital was calculated with a computer simulation using a geographic information system. After calculating demographic statistics and the Gini coefficient of accessibility, multivariate analyses were used to examine the correlation between accessibility time and mortality. Municipalities were divided into six groups according to accessibility time, and we then performed a correlation analysis between accessibility time and mortality using analysis of covariance.

RESULTS

The median time of accessibility to emergency hospitals was 34.5 minutes. The Gini coefficient of accessibility time was 0.410. A total of 385 municipalities (23.4%) had an accessibility time of over 60 minutes. Accessibility was significantly related to mortality (beta coefficient =0.006; P<0.001). The mortality rate in municipalities with an accessibility time of <15 minutes was lower than that in all other groups. The mortality rate in municipalities with an accessibility time of 15-30 minutes was lower than that in municipalities with an accessibility time of >30 minutes, and the mortality rate in municipalities with an accessibility time of 30-45 minutes was lower than that in municipalities with an accessibility time of 60-90 minutes (P<0.001).

CONCLUSION

The geographical disparities for emergency care accessibility were related to the rate of death by unintentional injury. Improving accessibility to emergency hospitals could help decrease the mortality rate of preventable trauma. Meanwhile, our findings suggest the need for substantially shorter accessibility times to emergency care facilities in many municipalities in Japan.

Does a geographical context of deprivation affect differences in injury mortality? A multilevel analysis in South Korean adults residing in metropolitan cities

BACKGROUND

This study aimed to examine whether the socioeconomic context of urban areas affects differences in adult mortality from injuries in the districts of all seven South Korean metropolitan cities, after adjusting for individual demographic and socioeconomic indicators.

METHODS

Two different sets of data were used in this study: (1) the National Death Registration data from 2003 to 2008; and (2) the National Census in 2005. Variables for individual characteristics were gender, age, residential area and educational level. A geographic deprivation index was calculated based on the Carstairs Index. Multilevel Poisson regression models were used to analyse the relationship between area deprivation levels and injury mortality.

RESULTS

Greater mortality risks of traffic accidents, falls, suicide and all injuries were found in the elderly, the less educated and men, compared with their counterparts. The most deprived districts were at greater risks of death due to traffic accidents (risk ratio (RR)=1.34; 95% CI 1.05 to 1.73), falls (RR=1.63; 95% CI 1.20 to 2.20), suicide (RR=1.09; 95% CI 1.01 to 1.17) and all injuries (RR=1.14; 95% CI 1.07 to 1.22) compared with the least deprived districts, even after individual level socioeconomic variables were controlled for. However, area level deprivation did not show cross level interactions with the individual level education in estimating fatal injury risks.

CONCLUSIONS

Both contextual and compositional effects of socioeconomic status on injury mortality among urban areas in South Korea should be considered in allocating resources for injury prevention.

Disentangling the impacts of geography and Aboriginality on serious road transport injuries in New South Wales

Aboriginal people in Australia have higher rates of transport injury than non-Aboriginal people, but a greater proportion of Aboriginal people live in rural or remote areas where risk of these injuries is higher. This paper investigated the contributing effect of geography on the relationship between Aboriginality and road transport injury rates in the state of New South Wales. Linked hospital admission and mortality records for individuals for the years 2001-2007 were grouped into distinct injury events. Multilevel Poisson regression was used to examine disparities in injury rates between Aboriginal and non-Aboriginal people clustered within geographic areas of residence. Overall, Aboriginal people had higher rates of road transport injuries (IRR: 1.18, 95% CIs: 1.09-1.28). However, there was no significant difference when geographic clustering was taken into account (IRR: 1.00, 95% CIs: 0.96-1.04). This effect was further influenced by mode of transport for the injury, with Aboriginal people having higher rates of pedestrian (IRR: 1.96, 95% CIs: 1.75-2.19) and lower rates of motorcycle (IRR: 0.64, 95% CIs: 0.59-0.70) injuries in all almost all local areas, while there was no systematic pattern across geographic areas for small vehicle injuries (IRR: 1.01, 95% CIs: 0.94-1.08). Geography plays an important role in the population disparity of road transport injuries between Aboriginal and non-Aboriginal people, and has a differential impact for different types of road transport injury. Exploring how individual and geographic factors influence patterns of disparity allows for clearer targeting of future intervention strategies.

Individual and area socioeconomic inequalities in cause-specific unintentional injury mortality: 11-year follow-up study of 2.7 million Canadians

This study investigated the association between individual and area socioeconomic status (SES) and leading causes of unintentional injury mortality in Canadian adults. Using the 1991-2001 Canadian Census Mortality Follow-up Study cohort (N=2,735,152), Cox proportional hazard regression was used to calculate hazard ratios and 95% confidence intervals for all-cause unintentional injury, motor vehicle collision (MVC), fall, poisoning, suffocation, fire/burn, and drowning deaths. Results indicated that associations with SES differed by cause of injury, and were generally more pronounced for males. Low education was associated with an elevated risk of mortality from all-cause unintentional injury and MVC (males only) and poisoning and drowning (both sexes). Low income was strongly associated with most causes of injury mortality, particularly fire/burn and poisoning. Having no occupation or low occupational status was associated with higher risks of all-cause injury, fall, poisoning and suffocation (both sexes) and MVC deaths among men. Associations with area deprivation were weak, and only areas with high deprivation had elevated risk of all-cause injury, MVC (males only), poisoning and drowning (both sexes). This study reveals the importance of examining SES differentials by cause of death from a multilevel perspective. Future research is needed to clarify the mechanisms underlying these differences to implement equity-oriented approaches for reducing differential exposures, vulnerability or consequences of injury mortality.

Do neighborhoods affect individual mortality? A systematic review and meta-analysis of multilevel studies

There has been increasing interest in investigating whether inhabitants in socially or physically deprived neighborhoods have higher mortality when individual socioeconomic status is adjusted for. Results so far appear ambiguous and the objective of this study was to conduct a systematic literature review of previous studies and to quantify the association between area-level socioeconomic status (ALSES) and all-cause mortality in a meta-analysis. Current guidelines for systematic reviews and meta-analyses were followed. Articles were retrieved from Medline, Embase, Social Sciences Citation Index and PsycInfo and individually evaluated by two researchers. Only peer-reviewed multilevel studies from high-income countries, which analyzed the influence of at least one area-level indicator and which controlled for individual SES, were included. The ALSES estimates in each study were first combined into a single estimate using weighted linear regression. In the meta-analysis we calculated combined estimates with random effects to account for heterogeneity between studies. Out of the 40 studies found eligible for the systematic review 18 studies were included in the meta-analysis. The systematic review suggests that there is an association between social cohesion and mortality but found no evidence for a clear association for area-level income inequality or for social capital. Studies including more than one area level suggest that characteristics on different area levels contribute to individual mortality. In the meta-analysis we found significantly higher mortality among inhabitants living in areas with low ALSES. Associations were stronger for men and younger age groups and in studies analyzing geographical units with fewer inhabitants.

Socio-economic inequalities in mortality due to injuries in small areas of ten cities in Spain (MEDEA Project)

OBJECTIVES

To analyse socio-economic inequalities in mortality due to injuries among census tracts of ten Spanish cities by sex and age in the period 1996-2003.

METHODS

This is a cross-sectional ecological study where the units of analysis are census tracts. The study population consisted of people residing in the cities during the period 1996-2003. For each census tract we obtained an index of socio-economic deprivation, and estimated standardized mortality ratios using hierarchical Bayesian models which take into account the spatial structure of the data.

RESULTS

In the majority of the cities, the geographical pattern of total mortality from injuries is similar to that of the socio-economic deprivation index. There is an association between mortality due to injuries and the deprivation index in the majority of the cities which is more important among men and among those younger than 45 years. In these groups, traffic injuries and overdoses are the causes most often associated with deprivation in the cities. The percentage of excess mortality from injuries related to socio-economic deprivation is higher than 20% in the majority of the cities, the cause with the highest percentage being drug overdose.

CONCLUSIONS

In most cities, there are socio-economic inequalities in mortality due to overdose and traffic injuries. In contrast, few cities have found association between suicide mortality and deprivation. Finally, no association was found between deprivation and deaths due to falls. Inequalities are higher in men and those under 45 years of age. These results highlight the importance of intra-urban inequalities in mortality due to injuries.

Influence of social and material individual and area deprivation on suicide mortality among 2.7 million Canadians: a prospective study

BACKGROUND

Few studies have investigated how area-level deprivation influences the relationship between individual disadvantage and suicide mortality. The aim of this study was to examine individual measures of material and social disadvantage in relation to suicide mortality in Canada and to determine whether these relationships were modified by area deprivation.

METHODS

Using the 1991-2001 Canadian Census Mortality Follow-up Study cohort (N = 2,685,400), measures of individual social (civil status, family structure, living alone) and material (education, income, employment) disadvantage were entered into Cox proportional hazard models to calculate hazard ratios (HR) and 95% confidence intervals (CI) for male and female suicide mortality. Two indices of area deprivation were computed - one capturing social, and the other material, dimensions - and models were run separately for high versus low deprivation.

RESULTS

After accounting for individual and area characteristics, individual social and material disadvantage were associated with higher suicide mortality, especially for individuals not employed, not married, with low education and low income. Associations between social and material area deprivation and suicide mortality largely disappeared upon adjustment for individual-level disadvantage. In stratified analyses, suicide risk was greater for low income females in socially deprived areas and males living alone in materially deprived areas, and there was no evidence of other modifying effects of area deprivation.

CONCLUSIONS

Individual disadvantage was associated with suicide mortality, particularly for males. With some exceptions, there was little evidence that area deprivation modified the influence of individual disadvantage on suicide risk. Prevention strategies should primarily focus on individuals who are unemployed or out of the labour force, and have low education or income. Individuals with low income or who are living alone in deprived areas should also be targeted.

Social inequalities in road traffic deaths at age 16-20 years among all 611,654 Norwegians born between 1967 and 1976: a multilevel analysis

Background

Road traffic injury is a major cause of death among youths.

Aims

To estimate mortality differences in family socioeconomic position (SEP) and municipal disadvantage level.

Methods

Data on all Norwegians born in 1967–76, gathered from national registries, were linked by a unique national identification number. The 611 654 participants were followed-up for 5 years from age 16 years. Parental education level, father's income level, and proportion of high-income earners in the municipality served as SEP indicators. Associations between SEP and road traffic deaths were analysed by multilevel Poisson regression.

Results

Road traffic deaths (n=676, rate 22.2 per 100 000 person-years) constituted a major cause of death, of which 91.9% were motor vehicle occupants. SEP distributions differed according to gender and type of motor vehicle crash (collision, non-collision). There was an inverse relationship between municipal proportions of high-income earners and mortality (population attributable fraction (PAF) 0.43, 95% CI 0.30 to 0.53) in all categories of gender-specific crash types. Family SEP gradients were not found except for male non-collision deaths, where increasing mortality was found in association with decreasing parental education level (PAF 0.94, 95% CI 0.59 to 0.99) and increasing paternal income (PAF 0.25, 95% CI 0.06 to 0.40).

Conclusion

The different SEP patterns for road traffic deaths across gender and motor vehicle crash type illustrate that heterogeneity of social inequalities in health can be found even within narrow age bands and for similar causes of death.

e-Infrastructures supporting research into depression, self-harm and suicide

The Economic and Social Research Council (ESRC)-funded Data Management through e-Social Sciences (DAMES) project is investigating, as one of its four research themes, how research into depression, self-harm and suicide may be enhanced through the adoption of e-Science infrastructures and techniques. In this paper, we explore the challenges in supporting such research infrastructures and describe the distributed and heterogeneous datasets that need to be provisioned to support such research. We describe and demonstrate the application of an advanced user and security-driven infrastructure that has been developed specifically to meet these challenges in an on-going study into depression, self-harm and suicide.

Individual and Areal Risk Factors for Road Traffic Injury Deaths: Nationwide Study in South Korea

This study determines the individual and areal risk factors for road traffic injury deaths in South Korea. The risk factors that influence road traffic injury deaths are defined by multilevel Poisson regression analysis. It is seen that not only demographic factors but also individual educational level, which represents socioeconomic status, influences road traffic injury deaths. The material deprivation index, which represents areal socioeconomic status, and W statistics, as a measure of the quality of the emergency medical system in an area, also influence road traffic injury deaths. Based on this study, the most vulnerable group for road traffic injury deaths is elderly men with a low level of education who live in the most deprived areas.Therefore, preventive policies focusing on both these areas and this population demographic should be established.

Toward the next generation of research into small area effects on health: a synthesis of multilevel investigations published since July 1998

To map out area effects on health research, this study had the following aims: (1) to inventory multilevel investigations of area effects on self rated health, cardiovascular diseases and risk factors, and mortality among adults; (2) to describe and critically discuss methodological approaches employed and results observed; and (3) to formulate selected recommendations for advancing the study of area effects on health. Overall, 86 studies were inventoried. Although several innovative methodological approaches and analytical designs were found, small areas are most often operationalised using administrative and statistical spatial units. Most studies used indicators of area socioeconomic status derived from censuses, and few provided information on the validity and reliability of measures of exposures. A consistent finding was that a significant portion of the variation in health is associated with area context independently of individual characteristics. Area effects on health, although significant in most studies, often depend on the health outcome studied, the measure of area exposure used, and the spatial scale at which associations are examined.

Road crash involvement and professional status: a prospective study using the French Gazel cohort

OBJECTIVES

To assess professional status (PS) differences in the risk of road crash involvement (RCI) (irrespective of crash severity), and to examine the underlying mechanism by evaluating the role of exposure to road risk (ERR).

METHOD

A total of 15,271 subjects selected from the French GAZEL cohort were studied. A proportional hazard model for recurrent events was used to calculate the relative risks (RR) of RCI associated with PS. The associations between RCI and PS were investigated by adjusting for ERR (kilometers travelled and risk behaviors on the road).

RESULTS

In all, 1890 RCI were reported. Managers have greater crude RCI risk than unskilled workers (male, RR=1.30; female, RR=1.44). This difference was no longer statistically significant when adjusting for factors describing the drivers' behaviors. Female managers' risks were also insignificant when adjusted for vehicle kilometers travelled (VKT). Managers seemed at lower risk of injury when involved in a crash.

CONCLUSION

Socially advantaged subjects have the greatest RCI risk. Qualitative and quantitative ERR factors explain these disparities. These results highlight the importance to focus on ERR when studying the effect of an individual characteristic on RCI. They also highlight the importance to analyse separately the "RCI" and the "susceptibility to injury".

Do places affect the probability of death in Australia? A multilevel study of area-level disadvantage, individual-level socioeconomic position and all-cause mortality, 1998-2000

BACKGROUND

In Australia, studies finding an association between area-level socioeconomic disadvantage and mortality are often based on aggregate-ecological designs which confound area-level and individual-level sources of socioeconomic variation. Area-level socioeconomic differences in mortality therefore may be an artefact of varying population compositions and not the characteristics of areas as such.

OBJECTIVE

To examine the associations between area-level disadvantage and all-cause mortality before and after adjustment for within-area variation in individual-level socioeconomic position (SEP) using unlinked census and mortality-register data in a multilevel context. Setting, participants and

DESIGN

The study covers the total Australian continent for the period 1998-2000 and is based on decedents aged 25-64 years (n = 43,257). The socioeconomic characteristics of statistical local areas (SLA, n = 1317) were measured using an index of relative socioeconomic disadvantage, and individual-level SEP was measured by occupation.

RESULTS

Living in a disadvantaged SLA was associated with higher all-cause mortality after adjustment for within-SLA variation in occupation. Death rates were highest for blue-collar workers and lowest among white-collar employees. Cross-level interactions showed no convincing evidence that SLA disadvantage modified the extent of inequality in mortality between the occupation groups.

CONCLUSIONS

Multilevel analysis can be used to examine area variation in mortality using unlinked census and mortality data, therefore making it less necessary to use aggregate-ecological designs. In Australia, area-level and individual-level socioeconomic factors make an independent contribution to the probability of premature mortality. Policies and interventions to improve population health and reduce mortality inequalities should focus on places as well as people.

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.

Hip Fractures Among the Elderly: Personal and Contextual Social Factors That Matter

BACKGROUND

There is evidence of independent neighborhood effects on the risk of hip fracture among the elderly. This study builds on earlier investigations and measures the crude and adjusted effects of individual personal- and area-based social attributes on hip fracture.

METHODS

The study is cross-sectional and register-based, and covers all people aged 65 or older living in the Stockholm metropolitan area during 1993 to 1995. It combines individual data from hospital inpatient registers, population data from census records, and area-based (parish) data from the Stockholm County's registers. Marital status (married or not), country of birth (three categories), and two area-based compositional indexes (social status and economic deprivation, each split into three levels) were considered. Both age adjusted odds ratios and odds adjusted for all other variables were compiled.

RESULTS

The age adjusted effects of individual marital status, country of birth, and area-based social status are considerable and not much affected by the other exposures, to the detriment of married men and women, Swedish-born men and women, and those men and women living in parishes characterized by average and high social status. By contrast, after adjustment, the odds of men and women living in average and high socioeconomic deprivation lose significance.

CONCLUSIONS

The attributes of both people and places may contribute to a better understanding of the occurrence of hip fractures among the elderly. The effects of individual marital status, country of birth, and social status of the living area are noticeably robust.

Factors associated with seatbelt, helmet, and child safety seat use in a spanish high-risk injury area

BACKGROUND

Focus of motor vehicle crashes death prevention is actually placed on preinjury period. The purpose of this study was to estimate predictors of using seatbelts, helmet and children safety seats.

METHODS

Data from a cross-sectional survey was analyzed. The behaviors were explored as dichotomous variables. Multivariate logistic regression models are proposed to predict them.

RESULTS

The educational level and community size measured by number of inhabitants were directly associated with all the behaviors studied. Females were more likely than males to use seatbelts and less likely to ride a motorcycle. Seatbelt and helmet use increased with age. Those exposed to both traffic in the city and on the road were more likely to use seatbelt and helmet than those only exposed in the city. Other variables included in any of the models were: being married or living with a partner, health-related variables as smoking habit, wealth-related variables as home ownership, and an ecological measure of wealth that is the average family income of the community.

CONCLUSIONS

Protective device use is associated with sociodemographic, health, and wealth-related variables, and type of exposure to traffic. There are also ecological variables associated with the behaviors studied. These findings should be helpful for planning safer habits promotion programs. Further research, from the discourse analysis of people with different risk profile, should be performed to improve the understanding of the use of protective devices.

Education level inequalities and transportation injury mortality in the middle aged and elderly in European settings

OBJECTIVE

To study the differential distribution of transportation injury mortality by educational level in nine European settings, among people older than 30 years, during the 1990s.

METHODS

Deaths of men and women older than 30 years from transportation injuries were studied. Rate differences and rate ratios (RR) between high and low educational level rates were obtained.

RESULTS

Among men, those of low educational level had higher death rates in all settings, a pattern that was maintained in the different settings; no inequalities were found among women. Among men, in all the settings, the RR was higher in the 30-49 age group (RR 1.46, 95% CI 1.32 to 1.61) than in the age groups 50-69 and > or = 70 years, a pattern that was maintained in the different settings. For women for all the settings together, no differences were found among educational levels in the three age groups. In the different settings, only three had a high RR in the youngest age group, Finland (RR 1.33, 95% CI 1.01 to 1.74), Belgium (RR 1.38; 95% CI 1.13 to 1.67), and Austria (RR 1.49, 95% CI 0.75 to 2.96).

CONCLUSION

This study provides new evidence on the importance of socioeconomic inequalities in transportation injury mortality across Europe. This applies to men, but not to women. Greater attention should be placed on opportunities to select intervention strategies tailored to tackle socioeconomic inequalities in transportation injuries.

Income inequality and risk of suicide in New York City neighborhoods: a multilevel case-control study

Evidence on the relationship between income inequality and suicide is inconsistent. Data from the New York City Office of the Chief Medical Examiner for all fatal injuries was collected to conduct a multilevel case-control study. In multilevel models, suicide decedents (n=374) were more likely than accident controls (n=453) to reside in neighborhoods with greater income inequality even after controlling for individual characteristics; this relation was modified by age with an effect overall and among decedents aged 15-34 but not among decedents 35-64. These data suggest that income inequality may contribute to the risk of suicide in younger adults.

Individual, household and neighborhood socioeconomic status and mortality: a study of absolute and relative deprivation

Our objectives were twofold (1) to examine the effects of neighborhood socioeconomic status (SES) on mortality by gender and age and (2) to assess the impact of individual's household SES relative to one's neighborhood on mortality. Data were taken from the Israel Longitudinal Mortality Study, which linked a 20% sample of the 1983 census to mortality records through 1992. Multilevel modeling was performed on 131,156 men and women aged 45-89 years living in approximately 880 neighborhoods. Overall, 27,334 deaths were reported during the 9.5 year study period. Independent of individual characteristics, mortality risks increased 1-2% (p < 0.05) per unit increase in area deprivation. Results did not vary by age or gender. Household deprivation relative to that of one's neighborhood and adjusted for absolute SES affected mortality in men only. Specifically, men living in relative disadvantage to their neighbors had lower risks of mortality than those living in concordance with their area (OR 0.86, 95% CI 0.80-0.92).

Does poverty lead to non-fatal unintentional injuries in rural Vietnam?

The aim of this study was to identify associations between poverty at the household level and unintentional injury morbidity. A cohort consisting of 24,874 person-time episodes, representing 24,776 people living in 5,801 households (classified into rich, middle income and poor by local authorities in 1999) was followed during 2000, in order to identify and assess non-fatal unintentional injuries. Incidence rate ratios were calculated using a Poisson regression model. The results showed that poverty was a risk factor for unintentional injuries generally. When looking at different types of injury, poverty was a risk for home, work and "other" injuries, protective for school injuries, while the risk of traffic injuries was not affected. The results also showed that communes in mountainous areas were at higher risk for home, work and other injuries. Overall, poverty was associated with unintentional injury morbidity. However, the relationship varied by sex, age and type of injury. Specifically, poverty increased the risk for children and elderly people being injured at home, and for adults (15-59 years) being affected by work injuries.

Individual and contextual effects in injury morbidity in Barcelona (Spain)

OBJECTIVE

To determine the relationship between socioeconomic level (measured through individual educational level and material deprivation in the areas of residence) and injury morbidity in different age groups and in males as well as in females.

DESIGN

Cross-sectional survey.

SETTING

Barcelona (Spain).

METHODS

The study population included all cases over the age of 19 who, as a result of an injury (motor vehicles injuries, falls, hits and cuts), were admitted to the emergency departments of the six main hospitals of the city during the years 1990-1991. Age- and sex-specific morbidity rates were calculated for each educational level and each cause of injury. The contextual variable included was the proportion of unemployment in each neighbourhood. Multilevel Poisson regression models were fitted.

RESULTS

Morbidity rates were higher in males, in young people and for lower educational levels. Results from the multilevel models show that, at contextual level, neighbourhoods with more unemployment present a higher risk of injuries. At individual level, after adjusting for contextual variables, the risk of sustaining injuries was higher among young men and women for all injury causes except falls among women where the risk was higher in the elderly; among both men and women, the risk of sustaining injury was higher in the population with lower educational level (RR = 1.79, 95% CI = 1.73-1.86 in men; RR = 2.12, 95% CI = 2.04-2.21 in women). This trend was also observed separately for traffic injuries, falls, hits and cuts.

CONCLUSION

Our results provide information about individual and contextual social inequalities in injury morbidity, the highest risks of injury occur in individuals of lower educational level and who reside in the more private neighbourhoods. These results underscore the need to implement injury prevention strategies not only at the individual level, but also to tailor them to the socioeconomic position of the population.