Sexual health and socioeconomic-related factors in Spain

Purpose: The aim of the present study was to describe sexual health in Spain according to three important indicators of the World Health Organization definition and explore the influence of socioeconomic factors. Methods: We performed a population-based cross-sectional study of sexually active people aged 16-44 years residing in Spain in 2009 (2365 women and 2532 men). Three main aspects of sexual health were explored: sexual satisfaction, safe sex, and sexual abuse. The independent variables explored were age, age at first intercourse, reason for first intercourse, type of partner, level of education, country of origin, religiousness, parity, and social class. Bivariate and multivariate logistic regression models were fitted. Results: Both men and women were quite satisfied with their sexual life, their first sexual intercourse, and their sexual relationships during the previous year. Most participants had practiced safe sex both at first intercourse and during the previous year. Levels of sexual abuse were similar to those in other developed countries. People of disadvantaged socioeconomic position have less satisfying, more unsafe, and more abusive sexual relationships. Women experienced more sexual abuse and had less satisfaction at their first intercourse. Conclusions: The state of sexual health in Spain is relatively good. However, we observed inequalities according to gender and socioeconomic position.

Gender and health inequalities: intersections with other relevant axes of oppression

The risk of disease, disability, and mortality as well as access to health services are unfairly distributed among the population, with certain groups bearing an unequally larger burden of ill health and poorer access to care due to gender, sexual identity/orientation, ethnic background, or class. According to the WHO Commission on Social Determinants of Health (CSDH), these health inequalities emanate from socioeconomic and political factors (governance, cultural values, macroeconomic policies), which generate a set of socioeconomic positions in society according to which populations are stratified based on gender, ethnicity, education, income, or other factors. These societal inequalities influence people’s material and psychosocial circumstances as well as behavioral and biological factors, which in turn impact on health inequalities. Tackling gender, race/ethnic, and socioeconomic inequalities in society is thus recognized as the most powerful action to cope with unequal health risks distribution, and social innovations focusing on these ‘root causes’ are needed in order to prevent and stop endemic social inequalities and social exclusion in health within low-income as well as high-income countries. Increasing existing knowledge and making visible the health status of the most vulnerable and invisible groups are critical in order to contribute to this imperative challenge.

The Impact of Education and Socioeconomic and Occupational Conditions on Self-Perceived and Mental Health Inequalities Among Immigrants and Native Workers in Spain

There is limited evidence on the influence of social determinants on the self-perceived and mental health of immigrants settled at least 8 years in Spain. The aim of this study was to examine differences between workers related to migrant-status, self-perceived and mental health, and to assess their relationship to occupational conditions, educational level and occupational social class, stratified by sex. Using data from the Spanish National Health Survey of 2011/12, we computed prevalence, odds ratios and explicative fractions. Mental (OR 2.02; CI 1.39–2.93) and self-perceived health (OR 2.64; CI 1.77–3.93) were poorer for immigrant women compared to natives. Occupational social class variable contributes 25 % to self-perceived health OR in immigrant women. Settled immigrant women workers are a vulnerable group in Spain.

Gender inequalities in occupational health related to the unequal distribution of working and employment conditions: a systematic review

Introduction: Gender inequalities exist in work life, but little is known about their presence in relation to factors examined in occupation health settings. The aim of this study was to identify and summarize the working and employment conditions described as determinants of gender inequalities in occupational health in studies related to occupational health published between 1999 and 2010. Methods: A systematic literature review was undertaken of studies available in MEDLINE, EMBASE, Sociological Abstracts, LILACS, EconLit and CINAHL between 1999 and 2010. Epidemiologic studies were selected by applying a set of inclusion criteria to the title, abstract, and complete text. The quality of the studies was also assessed. Selected studies were qualitatively analysed, resulting in a compilation of all differences between women and men in the prevalence of exposure to working and employment conditions and work-related health problems as outcomes. Results: Most of the 30 studies included were conducted in Europe (n=19) and had a cross-sectional design (n=24). The most common topic analysed was related to the exposure to work-related psychosocial hazards (n=8). Employed women had more job insecurity, lower control, worse contractual working conditions and poorer self-perceived physical and mental health than men did. Conversely, employed men had a higher degree of physically demanding work, lower support, higher levels of effort-reward imbalance, higher job status, were more exposed to noise and worked longer hours than women did. Conclusions: This systematic review has identified a set of working and employment conditions as determinants of gender inequalities in occupational health from the occupational health literature. These results may be useful to policy makers seeking to reduce gender inequalities in occupational health, and to researchers wishing to analyse these determinants in greater depth.

Mapping the awareness of inequalities in health programs in Spanish communities: moving forward together

The aim of this study is to map the awareness of gender, socioeconomic, immigrant and ethnic health inequalities in health at schools, maternal health and traffic injury health prevention programs. The study was conducted in the 19 health descentralized areas in Spain, 17 autonomous community (ACs) and the 2 autonomous cities (ACities). The data were collected from May 2008 to January 2009. The unit of analysis was the collection of policy documents setting out the programs mentioned above and the related support material in each AC. A reading guide was used to analyze the awareness of inequalities. With regard to health at schools, 2 of 10 programs show a high awareness of inequalities and include many specific proposals to be implemented at the local level. Regarding maternal health, 13 ACs have prepared support material with high awareness of inequalities to be implemented. A traffic injury program has been created in two ACs. We map the whole situation in Spain regarding the health programs that we have used as examples and their awareness of inequalities. We can conclude that there are differences between the regions studied in Spain and in general, the awareness of inequalities is low.

Trends in Socioeconomic Inequalities in Ischemic Heart Disease Mortality in Small Areas of Nine Spanish Cities from 1996 to 2007 Using Smoothed ANOVA

The aim of this study was to analyze the evolution of socioeconomic inequalities in mortality due to ischemic heart diseases (IHD) in the census tracts of nine Spanish cities between the periods 1996–2001 and 2002–2007. Among women, there are socioeconomic inequalities in IHD mortality in the first period which tended to remain stable or even increase in the second period in most of the cities. Among men, in general, no socioeconomic inequalities have been detected for this cause in either of the periods. These results highlight the importance of intra-urban inequalities in mortality due to IHD and their evolution over time.

Trends in socioeconomic inequalities in amenable mortality in urban areas of Spanish cities, 1996-2007

Background: While research continues into indicators such as preventable and amenable mortality in order to evaluate quality, access, and equity in the healthcare, it is also necessary to continue identifying the areas of greatest risk owing to these causes of death in urban areas of large cities, where a large part of the population is concentrated, in order to carry out specific actions and reduce inequalities in mortality. This study describes inequalities in amenable mortality in relation to socioeconomic status in small urban areas, and analyses their evolution over the course of the periods 1996–99, 2000–2003 and 2004–2007 in three major cities in the Spanish Mediterranean coast (Alicante, Castellón, and Valencia). Methods: All deaths attributed to amenable causes were analysed among non-institutionalised residents in the three cities studied over the course of the study periods. Census tracts for the cities were grouped into 3 socioeconomic status levels, from higher to lower levels of deprivation, using 5 indicators obtained from the 2001 Spanish Population Census. For each city, the relative risks of death were estimated between socioeconomic status levels using Poisson’s Regression models, adjusted for age and study period, and distinguishing between genders. Results: Amenable mortality contributes significantly to general mortality (around 10%, higher among men), having decreased over time in the three cities studied for men and women. In the three cities studied, with a high degree of consistency, it has been seen that the risks of mortality are greater in areas of higher deprivation, and that these excesses have not significantly modified over time. Conclusions: Although amenable mortality decreases over the time period studied, the socioeconomic inequalities observed are maintained in the three cities. Areas have been identified that display excesses in amenable mortality, potentially attributable to differences in the healthcare system, associated with areas of greater deprivation. Action must be taken in these areas of greater inequality in order to reduce the health inequalities detected. The causes behind socioeconomic inequalities in amenable mortality must be studied in depth.

Welfare state regimes and gender inequalities in the exposure to work-related psychosocial hazards

Background: Gender inequalities in the exposure to work-related psychosocial hazards are well established. However, little is known about how welfare state regimes influence these inequalities. Objectives: To examine the relationship between welfare state regimes and gender inequalities in the exposure to work-related psychosocial hazards in Europe, considering occupational social class. Methods: We used a sample of 27, 465 workers from 28 European countries. Dependent variables were high strain, iso-strain, and effort-reward imbalance, and the independent was gender. We calculated the prevalence and prevalence ratio separately for each welfare state regime and occupational social class, using multivariate logistic regression models. Results: More female than male managers/professionals were exposed to: high strain, iso-strain, and effort–reward imbalance in Scandinavian [adjusted prevalence ratio (aPR) = 2·26; 95% confidence interval (95% CI): 1·87–2·75; 2·12: 1·72–2·61; 1·41: 1·15–1·74; respectively] and Continental regimes (1·43: 1·23–1·54; 1·51: 1·23–1·84; 1·40: 1·17–1·67); and to high strain and iso-strain in Anglo-Saxon (1·92: 1·40–2·63; 1·85: 1·30–2·64; respectively), Southern (1·43: 1·14–1·79; 1·60: 1·18–2·18), and Eastern regimes (1·56: 1·35–1·81; 1·53: 1·28–1·83). Conclusion: Gender inequalities in the exposure to work-related psychosocial hazards were not lower in those welfare state regimes with higher levels of universal social protection policies.

Trends in socioeconomic inequalities in preventable mortality in urban areas of 33 Spanish cities, 1996–2007 (MEDEA project)

Background: Preventable mortality is a good indicator of possible problems to be investigated in the primary prevention chain, making it also a useful tool with which to evaluate health policies particularly public health policies. This study describes inequalities in preventable avoidable mortality in relation to socioeconomic status in small urban areas of thirty three Spanish cities, and analyses their evolution over the course of the periods 1996–2001 and 2002–2007. Methods: We analysed census tracts and all deaths occurring in the population residing in these cities from 1996 to 2007 were taken into account. The causes included in the study were lung cancer, cirrhosis, AIDS/HIV, motor vehicle traffic accidents injuries, suicide and homicide. The census tracts were classified into three groups, according their socioeconomic level. To analyse inequalities in mortality risks between the highest and lowest socioeconomic levels and over different periods, for each city and separating by sex, Poisson regression were used. Results: Preventable avoidable mortality made a significant contribution to general mortality (around 7.5%, higher among men), having decreased over time in men (12.7 in 1996–2001 and 10.9 in 2002–2007), though not so clearly among women (3.3% in 1996–2001 and 2.9% in 2002–2007). It has been observed in men that the risks of death are higher in areas of greater deprivation, and that these excesses have not modified over time. The result in women is different and differences in mortality risks by socioeconomic level could not be established in many cities. Conclusions: Preventable mortality decreased between the 1996–2001 and 2002–2007 periods, more markedly in men than in women. There were socioeconomic inequalities in mortality in most cities analysed, associating a higher risk of death with higher levels of deprivation. Inequalities have remained over the two periods analysed. This study makes it possible to identify those areas where excess preventable mortality was associated with more deprived zones. It is in these deprived zones where actions to reduce and monitor health inequalities should be put into place. Primary healthcare may play an important role in this process.

Health inequality between immigrants and natives in Spain: the loss of the healthy immigrant effect in times of economic crisis

Background: The immigrant population living in Spain grew exponentially in the early 2000s but has been particularly affected by the economic crisis. This study aims to analyse health inequalities between immigrants born in middle- or low-income countries and natives in Spain, in 2006 and 2012, taking into account gender, year of arrival and socioeconomic exposures. Methods: Study of trends using two cross-sections, the 2006 and 2012 editions of the Spanish National Health Survey, including residents in Spain aged 15–64 years (20 810 natives and 2950 immigrants in 2006, 14 291 natives and 2448 immigrants in 2012). Fair/poor self-rated health, poor mental health (GHQ-12 > 2), chronic activity limitation and use of psychotropic drugs were compared between natives and immigrants who arrived in Spain before 2006, adjusting robust Poisson regression models for age and socioeconomic variables to obtain prevalence ratios (PR) and 95% confidence interval (CI). Results: Inequalities in poor self-rated health between immigrants and natives tend to increase among women (age-adjusted PR2006 = 1.39; 95% CI: 1.24–1.56, PR2012 = 1.56; 95% CI: 1.33–1.82). Among men, there is a new onset of inequalities in poor mental health (PR2006 = 1.10; 95% CI: 0.86–1.40, PR2012 = 1.34; 95% CI: 1.06–1.69) and an equalization of the previously lower use of psychotropic drugs (PR2006 = 0.22; 95% CI: 0.11–0.43, PR2012 = 1.20; 95% CI: 0.73–2.01). Conclusions: Between 2006 and 2012, immigrants who arrived in Spain before 2006 appeared to worsen their health status when compared with natives. The loss of the healthy immigrant effect in the context of a worse impact of the economic crisis on immigrants appears as potential explanation. Employment, social protection and re-universalization of healthcare would prevent further deterioration of immigrants’ health status.

Gender sensitivity in national health plans in Latin America and the European Union

Objectives: To evaluate the situation regarding gender sensitivity in national health plans in Latin America and the European Union for the decade 2000–2010. Methods: A systematic search and content analysis of national health plans were carried out within 37 countries. Gender sensitivity, defined as the extent to which a health plan considers gender as a central category and develops measures to reduce any gender-related inequalities, was analysed through an ad hoc checklist. Results: The description of health problems by sex was more frequent than intervention proposals aimed at reducing gender health disparities. The greatest number of specific intervention proposals targeted at overcoming gender-based health inequalities were associated with sexual and/or reproductive health, gender based violence, the working environment and human resources training. Compared to the European Union member states, Latin American health plans were found to be generally more gender sensitive. Conclusions: National health plans are still generally lacking in gender sensitivity. Disparities exist in health policy formulation in favour of men, whilst women's health continues to be identified mainly with reproductive health. If gender sensitivity is not taken into account, efforts to improve the quality of clinical care will be insufficient as gender inequalities will persist.

Desigualdades de género en salud laboral en España

Objetivos: Analizar las desigualdades de género en las condiciones de empleo, trabajo, conciliación de la vida laboral y familiar, y en los problemas de salud relacionados con el trabajo en una muestra de la población ocupada en España en el año 2007 teniendo en cuenta la clase social y el sector de actividad. Métodos: Las desigualdades de género se analizaron mediante 25 indicadores en los 11.054 trabajadores entrevistados en la VI Encuesta Nacional de Condiciones de Trabajo. Se calcularon las odds ratio (OR) y sus intervalos de confianza del 95% (IC95%) mediante modelos de regresión logística multivariados, estratificando por clase social ocupacional y sector de actividad. Resultados: Más mujeres que hombres trabajaban sin contrato (OR = 1,83; IC95%: 1,51-2,21), con alto esfuerzo o baja recompensa (1,14:1,05-1,25) y sufriendo acoso sexual (2,85:1,75-4,62), discriminación (1,60:1,26-2,03) y más dolores osteomusculares (1,38:1,19-1,59). Más hombres que mujeres trabajaban a turnos (0,86:0,79-0,94), con altos niveles de ruido (0,34:0,30-0,40), altas exigencias físicas (0,58:0,54-0,63) y sufriendo más lesiones por accidentes de trabajo (0,67:0,59-0,76). Las trabajadoras no manuales mostraron trabajar con un contrato temporal (1,34:1,09-1,63), expuestas a más riesgos psicosociales y sufriendo mayor discriminación (2,47:1,49-4,09) y enfermedades profesionales (1,91:1,28-2,83). En el sector de la industria las desigualdades de género fueron más marcadas. Conclusiones: En España existen importantes desigualdades de género en las condiciones de empleo, trabajo y en los problemas de salud relacionados con el trabajo, que se ven influenciadas por la clase social y el sector de actividad, y que sería necesario tener en consideración en las políticas públicas de salud laboral.

Cancer mortality inequalities in urban areas: a Bayesian small area analysis in Spanish cities

Background: Intra-urban inequalities in mortality have been infrequently analysed in European contexts. The aim of the present study was to analyse patterns of cancer mortality and their relationship with socioeconomic deprivation in small areas in 11 Spanish cities. Methods: It is a cross-sectional ecological design using mortality data (years 1996-2003). Units of analysis were the census tracts. A deprivation index was calculated for each census tract. In order to control the variability in estimating the risk of dying we used Bayesian models. We present the RR of the census tract with the highest deprivation vs. the census tract with the lowest deprivation. Results: In the case of men, socioeconomic inequalities are observed in total cancer mortality in all cities, except in Castellon, Cordoba and Vigo, while Barcelona (RR = 1.53 95%CI 1.42-1.67), Madrid (RR = 1.57 95%CI 1.49-1.65) and Seville (RR = 1.53 95%CI 1.36-1.74) present the greatest inequalities. In general Barcelona and Madrid, present inequalities for most types of cancer. Among women for total cancer mortality, inequalities have only been found in Barcelona and Zaragoza. The excess number of cancer deaths due to socioeconomic deprivation was 16,413 for men and 1,142 for women. Conclusion: This study has analysed inequalities in cancer mortality in small areas of cities in Spain, not only relating this mortality with socioeconomic deprivation, but also calculating the excess mortality which may be attributed to such deprivation. This knowledge is particularly useful to determine which geographical areas in each city need intersectorial policies in order to promote a healthy environment.

Looking twice at the gender equity index for public health impact

Background: It has been shown that gender equity has a positive impact on the everyday activities of people (decision making, income allocation, application and observance of norms/rules) which affect their health. Gender equity is also a crucial determinant of health inequalities at national level; thus, monitoring is important for surveillance of women’s and men’s health as well as for future health policy initiatives. The Gender Equity Index (GEI) was designed to show inequity solely towards women. Given that the value under scrutiny is equity, in this paper a modified version of the GEI is proposed, the MGEI, which highlights the inequities affecting both sexes. Methods: Rather than calculating gender gaps by means of a quotient of proportions, gaps in the MGEI are expressed in absolute terms (differences in proportions). The Spearman’s rank coefficient, calculated from country rankings obtained according to both indexes, was used to evaluate the level of concordance between both classifications. To compare the degree of sensitivity and obtain the inequity by the two methods, the variation coefficient of the GEI and MGEI values was calculated. Results: Country rankings according to GEI and MGEI values showed a high correlation (rank coef. = 0.95). The MGEI presented greater dispersion (43.8%) than the GEI (19.27%). Inequity towards men was identified in the education gap (rank coef. = 0.36) when using the MGEI. According to this method, many countries shared the same absolute value for education but with opposite signs, for example Azerbaijan (−0.022) and Belgium (0.022), reflecting inequity towards women and men, respectively. This also occurred in the empowerment gap with the technical and professional job component (Brunei:-0.120 vs. Australia, Canada Iceland and the U.S.A.: 0.120). Conclusion: The MGEI identifies and highlights the different areas of inequities between gender groups. It thus overcomes the shortcomings of the GEI related to the aim for which this latter was created, namely measuring gender equity, and is therefore of great use to policy makers who wish to understand and monitor the results of specific equity policies and to determine the length of time for which these policies should be maintained in order to correct long-standing structural discrimination against women.

Self-rated health and hospital services use in the Spanish National Health System: a longitudinal study

Background: Self-rated health is a subjective measure that has been related to indicators such as mortality, morbidity, functional capacity, and the use of health services. In Spain, there are few longitudinal studies associating self-rated health with hospital services use. The purpose of this study is to analyze the association between self-rated health and socioeconomic, demographic, and health variables, and the use of hospital services among the general population in the Region of Valencia, Spain. Methods: Longitudinal study of 5,275 adults who were included in the 2005 Region of Valencia Health Survey and linked to the Minimum Hospital Data Set between 2006 and 2009. Logistic regression models were used to calculate the odds ratios between use of hospital services and self-rated health, sex, age, educational level, employment status, income, country of birth, chronic conditions, disability and previous use of hospital services. Results: By the end of a 4-year follow-up period, 1,184 participants (22.4 %) had used hospital services. Use of hospital services was associated with poor self-rated health among both men and women. In men, it was also associated with unemployment, low income, and the presence of a chronic disease. In women, it was associated with low educational level, the presence of a disability, previous hospital services use, and the presence of chronic disease. Interactions were detected between self-rated health and chronic disease in men and between self-rated health and educational level in women. Conclusions: Self-rated health acts as a predictor of hospital services use. Various health and socioeconomic variables provide additional predictive capacity. Interactions were detected between self-rated health and other variables that may reflect different complex predictive models, by gender.