Impact of socio-economic environment on incidence of primary liver cancer in France between 2006 and 2016

BACKGROUND AND AIMS

To measure the impact of socio-economic environment on the incidence of hepatocellular carcinoma (HCC) and intrahepatic cholangiocarcinoma (iCCA).

METHOD

The study used data from the French Network of Cancer Registries (FRANCIM) between 2006 and 2016. Classification of patients into HCC and iCCA was performed according to the topographical and morphological codes of the 3rd edition of the International Classification of Diseases for Oncology. Patient addresses were geolocalized and assigned to an IRIS, the smallest French geographic unit. Socio-economic environment was assessed by the European Deprivation Index (EDI). Sex- and age-standardized incidence rates with 95% confidence intervals (CI) were estimated per 100 000 inhabitants, by national quintiles, for each IRIS, sex and age group. Quintile 1 (Q1) characterized the most affluent areas. A Poisson regression was performed to model the impact of deprivation.

RESULTS

We included 22 249 cases (79.64% HCC, 16.97% iCCA). Incidence rates were 11.46 and 2.39 per 100 000 person-years for HCC and iCCA, respectively. There was an over-incidence of HCC in quintiles 2, 3, 4 and 5 compared to quintile 1: Q1 10.28 [9.9-10.66] per 100 000 person-years, Q2 11.43 [10.48-12.47] (p < .0001), Q3 11.81 [10.82-12.89] (p < .0001), Q4 12.26 [11.25-13.37] (p < .001) and Q5 11.53 [10.57-12.57] (p < .0001). By contrast, there was no difference for iCCa. Deprivation was significantly associated with HCC in men (p = .0018) and women (p = .0009), but not with iCCA (p = .7407).

CONCLUSION

The incidence of HCC is related to socio-economic environment, unlike iCCA. HCC and iCCA should be studied separately in epidemiological studies.

Do socioeconomic factors impact atopic dermatitis outcome? A single-center study

BACKGROUND

Race and socioeconomic status are thought to influence the severity of atopic dermatitis (AD), but findings differ between countries and measures used. The role of social determinants of health versus biologic factors in causing these differences is poorly understood.

OBJECTIVE

We hypothesized that spatially-derived factors correlate with AD severity and patient-reported outcome (PRO) in a pediatric cohort from Chicago, USA.

METHODS

Children with AD and caregivers were enrolled from February 2018 to April 2019 in this single-site cross-sectional study. Severity was self- and physician-assessed using validated measures. Patient addresses were geocoded and linked to census tract IDs. Deprivation index (DI) was calculated using variables of the 2018 American Community Survey.

RESULTS

Among 216 children aged 5-17 years old, 111 (51.4%) lived in urban, 104 (48.1%) suburban, and one (0.5%) in rural areas. Race was self-classified as White in 31.0%, Black 24.5%, other or mixed 25.0%, and Asian 19.4%; 24.5% were Hispanic. Median DI was 0.32 (range 0.03-0.72), with higher scores indicating more deprivation. DI correlated with insurance type, family income, ethnicity, race, and parental education, and weakly with selected PRO T-scores. However, no correlations between any AD severity score and DI, race, ethnicity, income, education, or insurance type were found.

CONCLUSION

The impact of socioeconomic factors on AD severity in our study population was less pronounced than expected. This could be because of regional differences, including access to high-quality care. The role of access as a deciding factor in the impact of socioeconomic status on AD outcome deserves further investigation.

A Retrospective Observational Study Using Administrative Databases to Assess the Risk of Spontaneous Abortions Related to Environmental and Socioeconomic Conditions

Miscarriage is one of the most frequent adverse events that occurs during pregnancy. This retrospective study aimed to verify if the environmental and socioeconomic conditions related to geographical areas where women live, and the socio-demographic and clinical factors play a role in the risk of spontaneous abortion (SA). The analyses were conducted by hospital discharge records (HDRs) from public and private hospitals in Apulia from 1 January 2021 to 31 December 2021. Women with an age over 40 years old had a major risk of SA compared with women under 18 years (OR 2.30, IC95%1.16-4.54). A reduction in the risk of SA was found for women with an endocrinological or metabolic disease (OR 0.28, 95% CI 0.19-0.41), while genetic disease greatly increases the risk (OR 9.63, IC95% 1.98-46.86). The greatest risk of spontaneous abortion was found in the province of Taranto compared to the province of Foggia (OR 2.01, 95% CI 1.52-2.64). The provinces with a higher risk of SA in the multiple comparisons were Taranto, Brindisi, and BAT. Municipalities with socioeconomic disadvantages classified as very low, low, and medium had a higher risk of SA compared to the municipalities with a high disadvantage. In conclusion, our study indicates the possible association between SA rate and environmental conditions. Additionally, the socioeconomic, clinical, and demographic factors were related to the risk of SAs.

Socio-Economic Factors Associated with Ethnic Disparities in SARS-CoV-2 Infection and Hospitalization

BACKGROUND

There is evidence that non-Italians presented higher incidence of infection and worse health outcomes if compared to native populations in the COVID-19 pandemic. The aim of the study was to compare Italian- and non-Italian-born health outcomes, accounting for socio-economic levels.

METHODS

We analyzed data relative to 906,463 people in Umbria (Italy) from 21 February 2020 to 31 May 2021. We considered the National Deprivation Index, the Urban-Rural Municipalities Index and the Human Development Index (HDI) of the country of birth. We used a multilevel logistic regression model to explore the influence of these factors on SARS-CoV-2 infection and hospitalization rates. Diagnosis in the 48 h preceding admission was an indicator of late diagnosis among hospitalized cases.

RESULTS

Overall, 54,448 persons tested positive (6%), and 9.7% of them were hospitalized. The risk of hospital admission was higher among non-Italians and was inversely related to the HDI of the country of birth. A diagnosis within 48 h before hospitalization was more frequent among non-Italians and correlated to the HDI level.

CONCLUSIONS

COVID-19 had unequal health outcomes among the population in Umbria. Reduced access to primary care services in the non-Italian group could explain our findings. Policies on immigrants' access to primary healthcare need to be improved.

Impact of Socioeconomic Deprivation on the Local Spread of COVID-19 Cases Mediated by the Effect of Seasons and Restrictive Public Health Measures: A Retrospective Observational Study in Apulia Region, Italy

The aim of this study was to investigate the spatiotemporal association between socioeconomic deprivation and the incidence of COVID-19 and how this association changes through the seasons due to the existence of restrictive public health measures. A retrospective observational study was conducted among COVID-19 cases that occurred in the Apulia region from 29 February 2020 to 31 December 2021, dividing the period into four phases with different levels of restrictions. A generalized estimating equation (GEE) model was applied to test the independent effect of deprivation on the incidence of COVID-19, taking into account age, sex, and regional incidence as possible confounding effects and covariates, such as season and levels of restrictions, as possible modifying effects. The highest incidence was in areas with a very high deprivation index (DI) in winter. During total lockdown, no rate ratio between areas with different levels of DI was significant, while during soft lockdown, areas with very high DI were more at risk than all other areas. The effects of social inequalities on the incidence of COVID-19 changed in association with the seasons and restrictions on public health. Disadvantaged areas showed a higher incidence of COVID-19 in the cold seasons and in the phases of soft lockdown.

Characteristics of Composite Deprivation Indices Used in Public Health: A Scoping Review Protocol

Introduction: A deprivation index has become a more popular tool to rank levels of deprivation within different geographic areas. It is extensively used for monitoring health inequalities, evaluating health care services, developing and modifying health policies and programs, and allocating health resources equitably. Our objectives are (1) to explore the relevant literature to describe features of composite deprivation measures; (2) create a list and classification of original deprivation indices. We will develop the classification of indices to systematize knowledge and improve the functional utility of the information. Methods: Any original deprivation index mentioned in peer-reviewed or grey literature documents will be eligible for inclusion if it assesses deprivation at a population level and used in relation to health. The study area will be limited to the geographic areas of North America, Europe, Australia, and New Zealand. Tables and a narrative summary will be used to describe features of deprivation indices. Diagrammatic form will be used to create the classification of deprivation indices. Discussion: Practically, the results of this study could facilitate finding a common language among researchers and specialists who create and use deprivation indices, thus helping the development and implementation of appropriate deprivation indices for different countries.

Socioeconomic status and clinical stage of patients presenting for treatment of chronic venous disease

OBJECTIVES

The association between socioeconomic status (SES) and chronic venous insufficiency has not been rigorously studied. This study aimed to determine the influence of SES on the clinical stage of patients presenting for chronic venous disease therapy.

METHODS

We performed a retrospective study of a prospectively collected data from the Vascular Quality Initiative Varicose Vein Registry at our tertiary referral center. Medical records of patients who underwent therapy for chronic venous disease between January 2015 and June 2019 were queried. SES was quantified using the neighborhood deprivation index (NDI), which summarizes 8 domains of socioeconomic deprivation and is based on census tract data derived from the patients' addresses at the time of the treatment. High NDI scores correspond with lower SES. The association between SES and severity of vein disease at presentation was assessed with bivariate analysis of variance and linear regression analysis.

RESULTS

A total of 449 patients with complete SES and clinical-etiology-anatomy-pathophysiology (CEAP) class data were included in the study. The mean age was 58 years, 67% were female, and 60% were White. CEAP classes were distributed as follows C2, 22%; C3, 50%; C4, 15%; C5, 5%; and C6, 8%. Patients with lower SES (higher NDI score) tended to have a higher CEAP class at presentation (P < 0.05). SES was not associated with history of deep venous thrombosis, use of compression therapy, or venous clinical severity score.

CONCLUSIONS

At our institution, patients with more advanced venous disease tended to belong to a lower SES group. This may reflect that patients with a lower SES have a longer time to presentation due to delay in seeking medical help for venous disease.

Associations between Neighborhood Deprivation Index, Parent Perceptions and Preschooler Lifestyle Behaviors

Parental perceptions and use of neighborhood facilities are important factors that are related to children’s dietary intake and physical activity. The aim of this study was to examine the association between neighborhood deprivation index, parents’ perceptions of their neighborhood environment, and healthy/unhealthy markers of child dietary intake, physical activity, and TV screen time. This cross-sectional study was conducted in Dublin, Ireland. The lifestyle behaviors among children and parental perceptions of their neighborhood environment were reported by the parents of 276 children aged 3–5 years by using parent-completed questionnaires. Deprivation index was assessed using the geographic information system (GIS). Data were analyzed using binary logistic regression, adjusting for socio-demographic confounders. In adjusted models, high deprivation index was associated with parental perception of the neighborhood as unsafe for walking and cycling due to crime (OR 1.59, 95% CI 1.04–2.43, p = 0.031) and children’s low engagement in structured physical activity (OR 0.35, 95% CI 0.17–0.72, p = 0.004). Parental perceptions of an unsafe neighborhood due to heavy traffic were negatively correlated with children’s active play (OR 0.73, 95% CI 0.55–0.95, p = 0.022). Children whose parents reported high satisfaction with the number of local sit-in and takeaway restaurants were 41% more likely to consume confectionary/sugar sweetened beverages (SSBs) weekly. In this age group, parents play an important role in children’s lifestyle behaviors; therefore, a better understanding of parents’ perceptions and their use of neighborhood facilities could contribute to creating a healthy environment for this age group.

Deprivation Index and Lifestyle: Baseline Cross-Sectional Analysis of the PREDIMED-Plus Catalonia Study

This baseline cross-sectional analysis from data acquired in a sub-sample of the PREDIMED-Plus study participants aimed to evaluate the relation between the Composite Socioeconomic Index (CSI) and lifestyle (diet and physical activity). This study involved 1512 participants (759 (52.2%) women) between 55 and 80 years with overweight/obesity and metabolic syndrome assigned to 137 primary healthcare centers in Catalonia, Spain. CSI and lifestyle (diet and physical activity) were assessed. Multiple linear regression or multinomial regression were applied to the data. Cluster analysis was performed to identify dietary patterns. The multiple linear regression model showed that a high deprivation index was related to a higher consumption of refined cereals (11.98 g/d, p-value = 0.001) and potatoes (6.68 g/d, p-value = 0.001), and to a lower consumption of fruits (−17.52 g/d, p-value = 0.036), and coffee and tea (−8.03 g/d, p-value = 0.013). Two a posteriori dietary patterns were identified by cluster analysis and labeled as “healthy” and “unhealthy”. In addition, the multinomial regression model showed that a high deprivation index was related to an unhealthy dietary pattern and low physical activity (OR 1.42 [95% CI 1.06–1.89]; p-value < 0.05). In conclusion, a high deprivation index was related to an unhealthy lifestyle (diet and physical activity) in PREDIMED-Plus study participants.

Dietary Patterns, Their Nutrients, and Associations with Socio-Demographic and Lifestyle Factors in Older New Zealand Adults

Dietary patterns analyse combinations of foods eaten. This cross-sectional study identified dietary patterns and their nutrients. Associations between dietary patterns and socio-demographic and lifestyle factors were examined in older New Zealand adults. Dietary data (109-item food frequency questionnaire) from the Researching Eating, Activity and Cognitive Health (REACH) study (n = 367, 36% male, mean age = 70 years) were collapsed into 57 food groups. Using principal component analysis, three dietary patterns explained 18% of the variation in diet. Dietary pattern associations with sex, age, employment, living situation, education, deprivation score, physical activity, alcohol, and smoking, along with energy-adjusted nutrient intakes, were investigated using regression analysis. Higher 'Mediterranean' dietary pattern scores were associated with being female, higher physical activity, and higher education (p < 0.001, R2 = 0.07). Higher 'Western' pattern scores were associated with being male, higher alcohol intake, living with others, and secondary education (p < 0.001, R2 = 0.16). Higher 'prudent' pattern scores were associated with higher physical activity and lower alcohol intake (p < 0.001, R2 = 0.15). There were positive associations between beta-carotene equivalents, vitamin E, and folate and 'Mediterranean' dietary pattern scores (p < 0.0001, R2 ≥ 0.26); energy intake and 'Western' scores (p < 0.0001, R2 = 0.43); and fibre and carbohydrate and 'prudent' scores (p < 0.0001, R2 ≥ 0.25). Socio-demographic and lifestyle factors were associated with dietary patterns. Understanding relationships between these characteristics and dietary patterns can assist in health promotion.

Dementia-related neuropsychiatric symptoms: inequalities in pharmacological treatment and institutionalization

BACKGROUND

Dementia-related neuropsychiatric symptoms (NPS) are the main determinant of family stress and institutionalization of patients. This study aimed to identify inequalities by gender and socioeconomic status in the management of NPS in patients diagnosed with dementia.

METHODS

An observational study was carried out to study all the cases of dementia in the corporate database of the Basque Health Service (29,864 patients). The prescription of antipsychotics and antidepressants and admission to a nursing home were used to establish the presence of NPS. The socioeconomic status of individuals was classified by a deprivation index. Logistic regressions were used to identify drivers for drug prescriptions and institutionalization.

RESULTS

NPS are poorly recorded in the clinical databases (12%). Neuropsychiatric symptoms were severe enough in two thirds of patients with dementia to be treated with psychoactive medication. Institutionalization showed an increase from those who did not receive medication to those who had been prescribed antidepressants (OR: 1.546), antipsychotics (OR: 2.075) or both (OR: 2.741). The resulting inequalities were the increased prescription of antidepressant drugs in women and more nursing-home admissions for women who were the least socioeconomically deprived and men who were the most deprived.

CONCLUSIONS

In large clinical databases, psychoactive drugs prescriptions can be useful to underscore the considerable burden of dementia-related NPS. Specific tools are needed to monitor social and health care programs targeted to dementia-related NPS from a population perspective. Programs aimed at reducing the family burden of care of dementia patients at home become the key elements in reducing inequalities in these patients' care. Socioeconomic status is the most important driver of inequality, and gender inequality may simply be hidden within the social environment. Integrated programs boosting the continuity of care are an objective for which compliance could be measured according to the NPS coding in the electronic health record.

California Healthy Places Index: Frames Matter

INTRODUCTION

We describe the California Healthy Places Index (HPI) and its performance relative to other indexes for measuring community well-being at the census-tract level. The HPI arose from a need identified by health departments and community organizations for an index rooted in the social determinants of health for place-based policy making and program targeting. The index was geographically granular, validated against life expectancy at birth, and linked to policy actions.

MATERIALS AND METHODS

Guided by literature, public health experts, and a positive asset frame, we developed a composite index of community well-being for California from publicly available census-tract data on place-based factors linked to health. The 25 HPI indicators spanned 8 domains; weights were derived from their empirical association with tract-level life expectancy using weighted quantile sums methods.

RESULTS

The HPI's domains were aligned with the social determinants of health and policy action areas of economic resources, education, housing, transportation, clean environment, neighborhood conditions, social resources, and health care access. The overall HPI score was the sum of weighted domain scores, of which economy and education were highly influential (50% of total weights). The HPI was strongly associated with life expectancy at birth (r = 0.58). Compared with the HPI, a pollution-oriented index did not capture one-third of the most disadvantaged quartile of census tracts (representing 3 million Californians). Overlap of the HPI's most disadvantaged quartile of census tracts was greater for indexes of economic deprivation. We visualized the HPI percentile ranking as a web-based mapping tool that presented the HPI at multiple geographies and that linked indicators to an action-oriented policy guide.

PRACTICE IMPLICATIONS

The framing of indexes and specifications such as domain weighting have substantial consequences for prioritizing disadvantaged populations. The HPI provides a model for tools and new methods that help prioritize investments and identify multisectoral opportunities for policy action.

Patterns of hospital admission in 54 501 patients with epistaxis over a 20-year period in Scotland, UK

BACKGROUND

Epistaxis affects most people over their lifetime. It is the commonest ear, nose and throat emergency. Hospital admission and socio-economic deprivation have been associated with mental health disorders, respiratory illness and with emergency hospital admissions. Low socio-economic status has never previously been associated with epistaxis, a common reason for admission to ear, nose and throat departments throughout the UK.

METHODS

Demographics from Information Services Division Scotland were analysed over a period of 20 years. This focused on gender, number of admissions, number of bed days, socio-economic deprivation (Scottish Index of Multiple Deprivation) and mortality within 1 year.

RESULTS

Data from 54 501 patients were assessed. Admission numbers and length of stay have significantly decreased (P < 0.0001). Males are more frequently affected (P = 0.001). Admission numbers were higher for patients in more deprived areas (P < 0.001). Mean duration of stay has decreased by 1 bed day. Surgical intervention of epistaxis has increased significantly (P < 0.001). There is an associated 1-year mortality rate of 9.8% following epistaxis.

CONCLUSION

There has been a significant decrease in hospital admissions and length of hospital stay in patients admitted with epistaxis over the past 20 years. There is a significant association with deprivation and epistaxis admission.

Slovenian Version of The European Deprivation Index at Municipal Level

Introduction

Ecological deprivation indices belong to essential instruments for monitoring and understanding health inequalities. Our aim was to develop the SI-EDI, a newly derived European Deprivation Index for Slovenia. We intend to provide researchers and policy-makers in our country with a relevant tool for measuring and reducing the socioeconomic inequalities in health, and even at a broader level.

Methods

Data from the European survey on Income and Living Conditions and Slovenian national census for the year 2011 were used in the SI-EDI construction. The concept of relative deprivation was used where deprivation refers to unmet need(s), which is caused by lack of all kinds of resources, not only material. The SI-EDI was constructed for 210 Slovenian municipalities. Its geographical distribution was compared to the distribution of two existing deprivation scores previously applied in health inequality research in Slovenia.

Results

There were 36% of adults recognized as deprived in Slovenia in 2011. SI-EDI was calculated using 10 census variables that were associated with individual deprivation. A clear east-to-west gradient was detected with the most deprived municipalities in the eastern part of the country. The two existing deprivation scores correlate significantly with the SI-EDI.

Conclusions

A new deprivation index, the SI-EDI, is grounded on the internationally established scientific concept, can be replicated over time and, crucially, provides an account of the socioeconomic and cultural particularities of the Slovenian population. The SI-EDI could be used by the stakeholders and the governmental and nongovernmental sectors in Slovenia, with the goal of better understanding health inequalities in Slovenia.

Socioeconomic deprivation worsens the outcomes of Italian women with hormone receptor-positive breast cancer and decreases the possibility of receiving standard care

BACKGROUND

Socioeconomic factors influence access to cancer care and survival. This study investigated the role of socioeconomic status on the risk of breast cancer recurrence and on the delivery of appropriate cancer care (sentinel lymph node biopsy and breast-conserving surgery plus radiotherapy), by patients' age and hormone receptor status.

METHODS

3,462 breast cancer cases diagnosed in 2003-2005 were selected from 7 Italian cancer registries and assigned to a socioeconomic tertile on the basis of the deprivation index of their census tract. Multivariable models were applied to assess the delivery of sentinel lymph node biopsy and of breast-conserving surgery plus radiotherapy within socioeconomic tertiles.

RESULTS

In the 1,893 women younger than 65 years, the 5-year risk of recurrence was higher in the most deprived group than in the least deprived, but this difference was not significant (16.4% vs. 12.9%, log-rank p=0.08); no difference was seen in women ≥65 years. Among the 2,024 women with hormone receptor-positive cancer, the 5-year risk was significantly higher in the most deprived group than in the least deprived one (13.0% vs. 8.9%, p=0.04); no difference was seen in cases of hormone receptor-negative cancer. The most deprived women were less likely than the least deprived women to receive sentinel lymph node biopsy (adjusted odds ratio (ORa), 0.69; 95% CI, 0.56-0.86) and to undergo breast-conserving surgery plus radiotherapy (ORa=0.66; 95% CI, 0.51-0.86). Conclusions: Socioeconomic inequalities affect the risk of recurrence, among patients with hormone receptor-positive cancer, and the opportunity to receive standard care.

A multilevel excess hazard model to estimate net survival on hierarchical data allowing for non-linear and non-proportional effects of covariates

The excess hazard regression model is an approach developed for the analysis of cancer registry data to estimate net survival, that is, the survival of cancer patients that would be observed if cancer was the only cause of death. Cancer registry data typically possess a hierarchical structure: individuals from the same geographical unit share common characteristics such as proximity to a large hospital that may influence access to and quality of health care, so that their survival times might be correlated. As a consequence, correct statistical inference regarding the estimation of net survival and the effect of covariates should take this hierarchical structure into account. It becomes particularly important as many studies in cancer epidemiology aim at studying the effect on the excess mortality hazard of variables, such as deprivation indexes, often available only at the ecological level rather than at the individual level. We developed here an approach to fit a flexible excess hazard model including a random effect to describe the unobserved heterogeneity existing between different clusters of individuals, and with the possibility to estimate non-linear and time-dependent effects of covariates. We demonstrated the overall good performance of the proposed approach in a simulation study that assessed the impact on parameter estimates of the number of clusters, their size and their level of unbalance. We then used this multilevel model to describe the effect of a deprivation index defined at the geographical level on the excess mortality hazard of patients diagnosed with cancer of the oral cavity. Copyright © 2016 John Wiley & Sons, Ltd.

Mechanisms and mediation in survival analysis: towards an integrated analytical framework

BACKGROUND

A wide-ranging debate has taken place in recent years on mediation analysis and causal modelling, raising profound theoretical, philosophical and methodological questions. The authors build on the results of these discussions to work towards an integrated approach to the analysis of research questions that situate survival outcomes in relation to complex causal pathways with multiple mediators. The background to this contribution is the increasingly urgent need for policy-relevant research on the nature of inequalities in health and healthcare.

METHODS

The authors begin by summarising debates on causal inference, mediated effects and statistical models, showing that these three strands of research have powerful synergies. They review a range of approaches which seek to extend existing survival models to obtain valid estimates of mediation effects. They then argue for an alternative strategy, which involves integrating survival outcomes within Structural Equation Models via the discrete-time survival model. This approach can provide an integrated framework for studying mediation effects in relation to survival outcomes, an issue of great relevance in applied health research. The authors provide an example of how these techniques can be used to explore whether the social class position of patients has a significant indirect effect on the hazard of death from colon cancer.

RESULTS

The results suggest that the indirect effects of social class on survival are substantial and negative (-0.23 overall). In addition to the substantial direct effect of this variable (-0.60), its indirect effects account for more than one quarter of the total effect. The two main pathways for this indirect effect, via emergency admission (-0.12), on the one hand, and hospital caseload, on the other, (-0.10) are of similar size.

CONCLUSIONS

The discrete-time survival model provides an attractive way of integrating time-to-event data within the field of Structural Equation Modelling. The authors demonstrate the efficacy of this approach in identifying complex causal pathways that mediate the effects of a socio-economic baseline covariate on the hazard of death from colon cancer. The results show that this approach has the potential to shed light on a class of research questions which is of particular relevance in health research.

Women's relative immunity to the socio-economic health gradient: artifact or real?

Background

Individual and area socio-economic status (SES) are significant predictors of morbidity and mortality in developed and developing countries. However, the span in health from poorest to richest, that is, the socio-economic gradient, appears steeper for men than women.

Objective

Our aim is to understand women's apparent immunity to the health harms of the SES gradient.

Design

Findings from a non-systematic search of Medline for population-based, SES gradient studies reporting results for both men and women and with health outcomes of morbidity, mortality or self-rated health (SRH) were reflectively analyzed.

Results

The 36 papers reviewed generally showed women to be relatively immune to the SES gradient for all but cardiovascular health outcomes. However, addressing the interconnected nature of socio-economic circumstances, exploring whether some measures of SES had ambiguous meanings for either women or men, including modifiers of SES such as household circumstances, social capital or area gender equity, or using indicators of area SES that were contextual rather than aggregates of individual, compositional measures increased the SES gradient for women. Outcome measures that combined mental and physical health, accounted for gender differences in SRH and adjusted for sex-specific differences in causes of mortality also explained some of the observed amelioration of the SES gradient among women.

Conclusions

Socio-economic circumstances have a real and sustained impact on individual health. The SES gradient appears stronger for men than for women for all health outcomes other than heart disease. However, some of the observed variability between men and women may be an artifact of biased methodology. Considering webs of causation rather than individual markers of SES along with other sources of gender bias can explain much of women's blunted socio-economic gradient and deepen understanding of the pathways from SES to morbidity and mortality overall.

Premature mortality due to social and material deprivation in Nova Scotia, Canada

INTRODUCTION

Inequalities in health attributable to inequalities in society have long been recognized. Typically, those most privileged experience better health, regardless of universal access to health care. Associations between social and material deprivation and mortality from all causes of death--a measure of population health, have been described for some regions of Canada. This study further examines the link between deprivation and health, focusing on major causes of mortality for both rural and urban populations. In addition, it quantifies the burden of premature mortality attributable to social and material deprivation in a Canadian setting where health care is accessible to all.

METHODS

The study included 35,266 premature deaths (1995-2005), grouped into five causes and aggregated over census dissemination areas. Two indices of deprivation (social and material) were derived from six socioeconomic census variables. Premature mortality was modeled as a function of these deprivation indices using Poisson regression.

RESULTS

Premature mortality increased significantly with increasing levels of social and material deprivation. The impact of material deprivation on premature mortality was similar in urban and rural populations, whereas the impact of social deprivation was generally greater in rural populations. There were a doubling in premature mortality for those experiencing a combination of the most extreme levels of material and social deprivation.

CONCLUSIONS

Socioeconomic deprivation is an important determinant of health equity and affects every segment of the population. Deprivation accounted for 40% of premature deaths. The 4.3% of the study population living in extreme levels of socioeconomic deprivation experienced a twofold increased risk of dying prematurely. Nationally, this inequitable risk could translate into a significant public health burden.

Incidence variation of prostate and cervical cancer according to socioeconomic level in the Girona Health Region

BACKGROUND

The main aim of this study, using a spatial-temporal model, is to analyse the link between a deprivation index and the incidence of prostate and cervical cancer in the Girona Health Region (GHR).

METHODS

This is a population-based study which includes all the inhabitants in the GHR in the period 1993-2006. In order to assess prostate/cervical cancer risk, Besag, York and Mollie (BYM)'s spatial-temporal version of the model was used and four random effects were introduced: (non-spatial) unstructured variability, spatial dependency, temporal dependency and spatial-temporal interaction. As an explanatory variable, a deprivation index was introduced at the census tract level. Furthermore, the percentage of the population between 45-64 years of age and over-65 was also considered as explanatory variables.

RESULTS

In the case of prostate cancer, all the variables which were introduced into the model showed a significant correlation with the relative risk, except for the second quintile of the deprivation index. Furthermore, as the index increased the correlation became negative and lower. Thus, the correlation between the relative risk and the two age bands proved to be lower, the higher the age was. In the case of cervical cancer, only the correlation between the over-65 age band and the relative risk was found to be statistically significant and positive.

CONCLUSIONS

In the case of prostate cancer, the results obtained in the GHR are in line with similar analyses. However, in the case of cervical cancer, no significant relationship between incidences in this location or economic status was found.

All-cause and cause-specific mortality among US youth: socioeconomic and rural-urban disparities and international patterns

We analyzed international patterns and socioeconomic and rural-urban disparities in all-cause mortality and mortality from homicide, suicide, unintentional injuries, and HIV/AIDS among US youth aged 15-24 years. A county-level socioeconomic deprivation index and rural-urban continuum measure were linked to the 1999-2007 US mortality data. Mortality rates were calculated for each socioeconomic and rural-urban group. Poisson regression was used to derive adjusted relative risks of youth mortality by deprivation level and rural-urban residence. The USA has the highest youth homicide rate and 6th highest overall youth mortality rate in the industrialized world. Substantial socioeconomic and rural-urban gradients in youth mortality were observed within the USA. Compared to their most affluent counterparts, youth in the most deprived group had 1.9 times higher all-cause mortality, 8.0 times higher homicide mortality, 1.5 times higher unintentional-injury mortality, and 8.8 times higher HIV/AIDS mortality. Youth in rural areas had significantly higher mortality rates than their urban counterparts regardless of deprivation levels, with suicide and unintentional-injury mortality risks being 1.8 and 2.3 times larger in rural than in urban areas. However, youth in the most urbanized areas had at least 5.6 times higher risks of homicide and HIV/AIDS mortality than their rural counterparts. Disparities in mortality differed by race and sex. Socioeconomic deprivation and rural-urban continuum were independently related to disparities in youth mortality among all sex and racial/ethnic groups, although the impact of deprivation was considerably greater. The USA ranks poorly in all-cause mortality, youth homicide, and unintentional-injury mortality rates when compared with other industrialized countries.

An area-based material and social deprivation index for public health in Québec and Canada

OBJECTIVES

To overcome the absence of socio-economic information in administrative databases and to monitor social inequalities in health, a material and social deprivation index was developed for Québec and Canada.

METHODS

The index is based on the smallest area unit used in Canadian censuses, with 400 to 700 persons on average. It includes six socio-economic indicators grouped along two dimensions - material and social - produced from principal component analyses. The index exists for 1991, 1996, 2001 and 2006 and in different versions, from local areas to the whole of Canada. Numerous products related to the index are available online free of charge.

RESULTS

The index has been used extensively in the field of health and social services, mainly in the province of Québec but also elsewhere in Canada. It has had four main uses, all related to public health: describing geographic variations of deprivation, illustrating inequalities in population health status and in service use according to deprivation, supporting the development of health reports and policies, and guiding regional resource allocation. These applications are facilitated by a close partnership between the producers and users of the index.

CONCLUSION

The deprivation index is a marker of social inequalities in health. It allows for monitoring of inequalities over time and space, and constitutes a useful tool for public health planning, intervention and service delivery.