Andreu Nolasco

Construcción de un índice de privación a partir de datos censales en grandes ciudades españolas (Proyecto MEDEA)

Objectives: a) To describe the methodology used to construct a deprivation index by census tract in cities, to identify the tracts with the least favorable socioeconomic conditions, and b) to analyze the association between this index and overall mortality. Methods: Several socioeconomic indicators (Census 2001) were defined by the census tracts of the following cities: Barcelona, Bilbao, Madrid, Seville and Valencia. The correlations with the standardized mortality ratio (1996-2003), and the dimensionality of the socioeconomic indicators were studied. Finally, the selected indicators were aggregated in an index, in which the results of the factor loadings from extraction of a factor by principal components were used as weighting values. Results: The indicators with the strongest correlations with overall mortality were those related to work, education, housing conditions and single parent homes. In the analysis of dimensionality, a first dimension appeared that contained indicators related to work (unemployment, manual and eventual workers) and education (insufficient education overall and in young people). In all the cities studied, the index created with these 5 indicators explained more than 75% of their variability. The correlations between this index and mortality generally showed higher values than those obtained with each indicator separately. Conclusions: The deprivation index proposed could be a useful instrument for health planning as it detects small areas of large cities with unfavorable socioeconomic characteristics and is associated with mortality. This index could contribute to the study of social inequalities in health in Spain.

Constructing a deprivation index based on census data in large Spanish cities(the MEDEA project)

OBJECTIVES a) To describe the methodology used to construct a deprivation index by census tract in cities, to identify the tracts with the least favorable socioeconomic conditions, and b) to analyze the association between this index and overall mortality. METHODS Several socioeconomic indicators (Census 2001) were defined by the census tracts of the following cities: Barcelona, Bilbao, Madrid, Seville and Valencia. The correlations with the standardized mortality ratio (1996-2003), and the dimensionality of the socioeconomic indicators were studied. Finally, the selected indicators were aggregated in an index, in which the results of the factor loadings from extraction of a factor by principal components were used as weighting values. RESULTS The indicators with the strongest correlations with overall mortality were those related to work, education, housing conditions and single parent homes. In the analysis of dimensionality, a first dimension appeared that contained indicators related to work (unemployment, manual and eventual workers) and education (insufficient education overall and in young people). In all the cities studied, the index created with these 5 indicators explained more than 75% of their variability. The correlations between this index and mortality generally showed higher values than those obtained with each indicator separately. CONCLUSIONS The deprivation index proposed could be a useful instrument for health planning as it detects small areas of large cities with unfavorable socioeconomic characteristics and is associated with mortality. This index could contribute to the study of social inequalities in health in Spain.

Preventable avoidable mortality: Evolution of socioeconomic inequalities in urban areas in Spain, 1996–2003

This study describes the inequalities in preventable avoidable mortality in relation to socioeconomic levels and analyses their evolution during the period 1996-2003 in the cities of Alicante, Castellon and Valencia. Four causes of preventable avoidable mortality were analysed according to sex: malignant tumour of the trachea, bronchus and lung, cirrhosis and other chronic diseases of the liver, motor vehicle accidents and AIDS, which had caused the death of non-institutionalised residents in the three cities during the period 1996-2003. The different census tracts were grouped into three socioeconomic levels. In general, socioeconomic inequalities in preventable avoidable mortality remain constant in time, except the ones caused by AIDS in Valencia, where they increase for men. Some census tracts in the three cities where the study was carried out were found to have significantly higher preventable mortality rates, and therefore require intervention.

Self-rated health and mortality: a follow-up study of a Spanish population

OBJECTIVES Self-rated health (SRH) is known to be a valid indicator for the prediction of health outcomes. The aims of this study were to describe and analyse the associations between SRH and health status, socio-economic and demographic characteristics; and between SRH and mortality in a Spanish population. STUDY DESIGN Longitudinal study. METHODS A sample of 5275 adults (age ≥21 years) residing in the Valencian Community (Spanish Mediterranean region) was surveyed in 2005 and followed for four years. SRH was categorized into good and poor health. The response variable was mortality (dead/alive), obtained from the local mortality register. Logistic regression models were adjusted in order to analyse the associations between SRH and health status, socio-economic and demographic characteristics; odds ratios were calculated to measure the associations. Poisson regression models were adjusted in order to analyse the associations between mortality and explanatory variables; the relative risk of death was calculated to measure the associations. RESULTS Poor SRH was reported by 25.9% of respondents, and the mortality rate after four years of follow-up was 3.6%. An association was found between SRH and the presence of chronic disease and disability in men and women. A perception of poor health vs good health led to a mortality risk of 3.0 in men and 2.7 in women. SRH was predictive of mortality, even after adjusting for all other variables. In men and women, the presence of disability provided additional predictive ability. CONCLUSIONS SRH was predictive of mortality in both men and women, and acted as a mediator between socio-economic, demographic and health conditions and mortality.

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

BackgroundIntra-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.MethodsIt 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.ResultsIn 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.ConclusionThis 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.

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.

Inequalities in health in intensive care patients

In order to study the possible association between socioeconomic status (SES) and critical care mortality, we examined a cohort of 847 patients over 14 years of age, as they were consecutively admitted to three general intensive care units (ICUs). The patients with low SES (social classes IV and V according to the British Registrar Generals classification) were older (62.0 v 58.5 years old, p less than 0.0001) and showed a higher ICU mortality (odds ratio (OR) = 1.61, p = 0.0204) and severity of illness on admission (mean Simplified Acute Physiology Score [SAPS] 9.9 vs 8.7, p = 0.0002) than patients with high SES (social classes I-III). The initial severity of illness differential was detected both in patients admitted from the emergency area and in patients admitted from the general hospitalization ward, suggesting the existence of some kind of preselection procedure related to the SES of the patient. The stepwise logistic regression analysis identified as independent predictive variables of ICU mortality therapeutic effort (measured with the Therapeutic Intervention Scoring System [TISS]), SAPS score, age and hospital, but not SES. The TISS/SAPS ratio according to origin of patients (emergency/general wards) was comparable in the high and low SES. We conclude that there is an inverse relationship between SES and ICU mortality. The mortality excess in the low SES patients is largely accounted for by the covariates of the low SES (especially their high age and severity of illness on admission). There is no evidence of a different relative therapeutic effort according to the SES.

Cholelithiasic Disease and Associated Factors in a Spanish Population

In order to analyze the factors associated with cholelithiasic disease, 1268 participants of a population sample were studied. On univariate analysis, 11 of the 23 variables included showed a statistically significant association (P < 0.05). Five of these variables, including obesity, triglyceride level, intake of hypolipidemic drugs, and a diet rich in cholesterol and saturated fats in women, and physical exercise in men, remained significantly associated after controlling for age. On multivariate analysis among women, a positive association was found with age (P < 0.001), obesity, and the use of hypolipidemic agents (P < 0.05) and a negative one with a diet rich in cholesterol and saturated fats (P < 0.05). Among men, the same analysis revealed there was a positive association with age (P < 0.001) and triglycerides (P < 0.05) and a negative one with physical exercise (P < 0.05). In conclusion, obesity and the use of hypolipidemic agents in women and triglycerides in men, were positively associated with cholelithiasic disease, independent of age, while negative associations included the intake of cholesterol and saturated fats in women and physical exercise in men.

Work ability, psychosocial hazards and work experience in prison environments

BACKGROUND Work ability is predicted by age- and work-related psychosocial hazards; however, its association with work experience has not been studied. Work ability has not been studied in prison environments as well. AIMS To describe work ability and its associates among prison workers. METHODS A cross-sectional study was carried out in two prisons in Spain, one large and one medium prison, randomly selected from 17 in total. Prison workers were randomly administered a voluntary anonymous questionnaire to measure work ability [Work Ability Index (WAI)], work-related psychosocial hazards (Spanish version of COPSOQ), sociodemographic, lifestyle and work-related variables. RESULTS Four hundred and forty-one workers (54%) participated. Results confirmed that older and more experienced workers (analysis of variance analysis) and workers in large prisons (t-student) presented significantly lower WAI scores. Quantitative and emotional demands, family work conflict, low work control, low autonomy, low social support from colleagues and stress had negative significant associations with WAI. Age, which highly correlated with work experience (Spearmans r = 0.85), had significant association with WAI (beta = -0.62). In the stepwise linear regression, the association between age and WAI lost statistical significance after controlling for work experience, which maintained significant correlation with WAI (beta = -0.37). CONCLUSIONS The apparent association between age and WAI was confounded by work experience. Interventions to improve work ability among prison workers may benefit from results of this study to focus their efforts on the risk groups in such a psychologically demanding work environment rarely examined in previous research.

Predictors of death following ICU discharge

In order to study possible predictors of early after-discharge mortality (EADM), 700 consecutive patients discharged alive from three intensive care units (ICUs) were followed up 2 months after their admission. The observed mortality was 7.3%. Univariate analysis indicated a strong statistically significant association of the following variables with mortality: initial simplified acute physiological score (SAPS)>10, therapeutic intervention score in the first 24 h of admission >20, age >-65, length of stay in the ICU >10 days, and low educational level. The multiple logistic regression analysis included as predictive independent variables the SAPS, organs or systems failure, age, and length of stay. The model built up-on these four variables was able to identify a group of patients at high risk (21–46%) of EADM. We conclude that some simple variables can be used as useful markers of patients groups at high risk of EADM.