Short-term health effects of an urban regeneration programme in deprived neighbourhoods of Barcelona.

Urban regeneration programmes are interventions meant to enhance the wellbeing of residents in deprived areas, although empirical evidence reports mixed results. We evaluated the health impact of a participatory and neighbourhood-wide urban regeneration programme, Pla de Barris 2016-2020, in Barcelona. A pre-post with a comparison group study design. Using data from a cross-sectional survey performed in 2016 and 2021. The health outcomes analysed were mental health, alcohol and psychotropic drug use, perceived health status, physical activity and obesity. Depending on the investment, two intervention groups were defined: moderate- and high-intensity intervention groups. The analysis combined difference-in-difference estimation with an inverse weighting derived from a propensity score to reduce potential biases. The impact of the intervention in percentages and its confidence interval were estimated with a linear probability model with clustered adjusted errors. The intervention had a positive impact on health outcomes in women in the high-intensity intervention group: a reduction of 15.5% in the relative frequency of those experiencing poor mental health, and of 21.7% in the relative frequency of those with poor self-perceived health; and an increase of 13.7% in the relative frequency of those doing physical activity. No positive impact was observed for men, but an increase of 10.3% in the relative frequency of those using psychotropic drugs in the high-intensity intervention group. This study shows positive short-term effects of the urban regeneration programme Pla de Barris 2016-2020 on health outcomes in women in the high-intensity intervention group. These results can guide future interventions in other areas.

Reconsidering the Use of Population Health Surveys for Monitoring of Mental Health.

Monitoring of the mental health status of the population and assessment of its determinants are 2 of the most relevant pillars of public mental health, and data from population health surveys could be instrumental to support them. Although these surveys could be an important and suitable resource for these purposes, due to different limitations and challenges, they are often relegated to the background behind other data sources, such as electronic health records. These limitations and challenges include those related to measurement properties and cross-cultural validity of the tools used for the assessment of mental disorders, their degree of representativeness, and possible difficulties in the linkage with other data sources. Successfully addressing these limitations could significantly increase the potential of health surveys in the monitoring of mental disorders and ultimately maximize the impact of the relevant policies to reduce their burden at the population level. The widespread use of data from population health surveys, ideally linked to electronic health records data, would enhance the quality of the information available for research, public mental health decision-making, and ultimately addressing the growing burden of mental disorders.

Reliability and cross-country equivalence of the 8-item version of the Patient Health Questionnaire (PHQ-8) for the assessment of depression: results from 27 countries in Europe.

Background: The 8-item version of the Patient Health Questionnaire (PHQ-8) is one of the self-reported questionnaires most frequently used worldwide for the screening and severity assessment of depression. However, in some European countries its reliability is unknown, and it is unclear whether its psychometric properties vary between European countries. Therefore, the aim of this study was to assess the internal structure, reliability and cross-country equivalence of the PHQ-8 in Europe. Methods: All participants from the 27 countries included in the second wave of the European Health Interview Survey (EHIS-2) between 2014 and 2015 with complete information on the PHQ-8 were included (n = 258,888). The internal structure of the PHQ-8 was assessed using confirmatory factor analyses (CFA) for categorical items. Additionally, the reliability of the questionnaire was assessed based on the internal consistency, Item Response Theory information functions, and item-discrimination (using Graded Response Models), and the cross-country equivalence based on multi-group CFA. Findings: The PHQ-8 shows high internal consistency for all countries. The countries in which the PHQ-8 was more reliable were Romania, Bulgaria and Cyprus and less reliable were Iceland, Norway and Austria. The PHQ-8 item with highest discrimination was item 2 (feeling down, depressed, or hopeless) in 24 of the 27 countries. Measurement invariance between countries in Europe was observed from multigroup CFA at the configural, metric and scalar levels. Interpretation: The results from our study, likely the largest study to the date assessing the internal structure, reliability and cross-country comparability of a self-reported mental health assessment measure, shows that the PHQ-8 has an adequate reliability and cross-country equivalence across the 27 European countries included. These results highlight the suitability of the comparisons of the PHQ-8 scores in Europe. They could be helpful to improve the screening and severity assessment of depressive symptoms at the European level. Funding: This work was partially funded by CIBER Epidemiology and Public Health (CIBERESP) as part of the Intramural call of 2021 (ESP21PI05).

Trends and inequalities in (healthy) life expectancy by neighbourhood during the COVID-19 epidemic in Barcelona / Tendencias y desigualdades en la esperanza de vida (en buena salud) por barrios durante la epidemia de COVID-19 en Barcelona

Objective: To analyse the trend in life expectancy (LE), healthy life expectancy (HLE) and socio-economic inequalities by neighbourhood in Barcelona from the pre-pandemic period (2018-2019) to the pandemic period (2020-2021). Method: LE and HLE at birth were computed using the municipal register of inhabitants and quality of life (EuroQol) from the Barcelona Health Survey of 2016. Inequalities were assessed with the gap between quantiles of neighbourhood income. Results: In 2020, there was a reduction in LE among men (−1.98 years) and women (−2.44) and in HLE among men (−1.44). Socio-economic inequalities in LE and HLE between neighbourhoods widened since 2019 to 2021 (LE: from 3.92 to 4.86 years for men, and from 1.30 to 3.60 for women; HLE: from 6.88 to 7.70 years for men, and from 7.85 to 9.31 for women). Conclusions: The pandemic has substantially reduced LE and HLE, with larger effects among low-income neighbourhoods, especially among women. (AU)

Objetivo: Analizar la evolución de la esperanza de vida (EV), la esperanza de vida en buena salud (EVBS) y las desigualdades socioeconómicas por barrios en Barcelona desde el periodo prepandémico (2018-2019) hasta el periodo de pandemia (2020-2021). Método: Se calcularon la EV y la EVBS al nacimiento utilizando el registro municipal de habitantes y la calidad de vida (EuroQol) de la Encuesta de Salud de Barcelona de 2016. Las desigualdades se valoraron mediante la brecha entre los cuantiles de ingreso por barrios. Resultados: En 2020 hubo una reducción en la EV en los hombres (−1,98 años) y las mujeres (−2,44), y en la EVBS en los hombres (−1,44). Las desigualdades socioeconómicas en EV y EVBS por barrios se ampliaron de 2019 a 2021 (EV: de 3,92 hasta 4,86 años en hombres y de 1,30 hasta 3,60 años en mujeres; EVBS: de 6,88 hasta 7,70 años en hombres y de 7,85 hasta 9,31 años en mujeres). Conclusiones: La pandemia ha reducido sustancialmente la EV y la EVBS, con mayores efectos en los barrios de menor renta, en especial en las mujeres. (AU)

Trends and inequalities in (healthy) life expectancy by neighbourhood during the COVID-19 epidemic in Barcelona.

OBJECTIVE: To analyse the trend in life expectancy (LE), healthy life expectancy (HLE) and socio-economic inequalities by neighbourhood in Barcelona from the pre-pandemic period (2018-2019) to the pandemic period (2020-2021). METHOD: LE and HLE at birth were computed using the municipal register of inhabitants and quality of life (EuroQol) from the Barcelona Health Survey of 2016. Inequalities were assessed with the gap between quantiles of neighbourhood income. RESULTS: In 2020, there was a reduction in LE among men (-1.98 years) and women (-2.44) and in HLE among men (-1.44). Socio-economic inequalities in LE and HLE between neighbourhoods widened since 2019 to 2021 (LE: from 3.92 to 4.86 years for men, and from 1.30 to 3.60 for women; HLE: from 6.88 to 7.70 years for men, and from 7.85 to 9.31 for women). CONCLUSIONS: The pandemic has substantially reduced LE and HLE, with larger effects among low-income neighbourhoods, especially among women.

Inequalities in life expectancy by educational level and its decomposition in Barcelona, 2004-2018 / Desigualdades en la esperanza de vida por nivel educativo y su descomposición en Barcelona, 2004-2018

Objective: To analyse the gap in life expectancy by educational level in the city of Barcelona from 2004 to 2018 and to decompose this gap by age and causes of death. Method: We computed abridged life tables at the age of 25 years by sex from 2004 to 2018 using standard methods. Educational level was categorised in two groups (lower secondary or less vs. upper secondary or higher education). The life expectancy gap was further decomposed by age and by causes of death based in Arriaga's method in 5-year age blocks up to the age of ≥ 90 years and broad causes of death using ICD-10 codes. Results: The life expectancy gap at 25 years by educational level oscillated without trend at around 3.08 years for men and 1.93 years for women. Decomposition by age showed a favourable significant shift in the contribution to this gap from young to older ages for men, with few changes for women. Decomposition by causes of death showed that the diseases concentrating the largest share of the contribution were neoplasms and respiratory and circulatory disease. There was a significant downward trend in external causes for men and in infectious diseases for both men and women but a significant upward trend for respiratory disease for both sexes. Conclusions: The stability of the life expectancy gap by educational level during the period analysed resulted from a combination of divergent trends by age and causes of death among high and low educational levels. (AU)

Objetivo: Analizar la brecha en la esperanza de vida por nivel educativo en la ciudad de Barcelona desde 2004 hasta 2018, y descomponer esta brecha por edad y causas de muerte. Método: Se calcularon tablas de vida abreviadas a la edad de 25 años por sexo desde 2004 hasta 2018 utilizando métodos estándar. El nivel educativo se clasificó en dos grupos: secundaria inferior o menor frente a secundaria superior o educación superior. La brecha de la esperanza de vida se descompuso además por edad y por causas de muerte según el método de Arriaga en bloques de edad de 5 años hasta la edad de ≥90 años y causas amplias de muerte utilizando los códigos de la CIE-10. Resultados: La brecha de la esperanza de vida a los 25 años por nivel educativo osciló sin tendencia en torno a los 3,08 años para los hombres y 1,93 años para las mujeres. La descomposición por edad mostró un cambio favorable a esta brecha desde las edades jóvenes a las mayores en los hombres, con pocos cambios en las mujeres. La descomposición por causas de muerte mostró una mayor contribución de las neoplasias y las enfermedades respiratorias y circulatorias. Hubo una tendencia a la baja en las causas externas en los hombres, y en las enfermedades infecciosas tanto en los hombres como en las mujeres, pero al alza en las enfermedades respiratorias para ambos sexos. Conclusiones: La estabilidad de la brecha de la esperanza de vida por nivel educativo durante el periodo analizado fue el resultado de una combinación de tendencias divergentes por edad y causas de muerte entre los niveles educativos altos y bajos. (AU)

Neighbourhood income inequalities in mental health in Barcelona 2001-2016: a Bayesian smoothed estimate / Desigualdades de renta por barrios en salud mental en Barcelona 2001-2016: una estimación de alisado bayesiano

Objective: Obtaining reliable health estimates at the small area level (such as neighbourhoods) using survey data usually poses the problem of small sample sizes. To overcome this limitation, we explored smoothing techniques in order to estimate poor mental health prevalence at the neighbourhood level and analyse its profile by income in Barcelona city (Spain). Method: A Bayesian smoothing model with a logit-normal transformation was applied to four repeated cross-sectional waves of the Barcelona health survey for 2001, 2006, 2011 and 2016. Mental health status was identified from the 12-item General Health Questionnaire. Income inequalities were analysed with neighbourhood income in quantiles for each year and trends in the pooled analysis. Results: The prevalence of poor mental health ranged from 14.6% in 2001 to 18.9% in 2016. The yearly difference between neighbourhoods was 12.4% in 2001, 16.7% in 2006, 14.2% in 2011, and 20.0% in 2016. The odds ratio and 95% credible interval (95%CI) of experiencing poor mental health was 1.40 times higher (95%CI: 1.02-1.91) in less advantaged neighbourhoods than in more advantaged neighbourhoods in 2001, 1.61 times higher (95%CI: 1.01-2.59) in 2006 and 2.31 times higher (95%CI: 1.57-3.40) in 2016. Conclusions: This study shows that the Bayesian smoothed techniques allows detection of inequalities in health in neighbourhoods and monitoring of interventions against them. In Barcelona, mental health problems are more prevalent in low-income neighbourhoods and raised in 2016. (AU)

Objetivo: Obtener estimadores de salud en áreas pequeñas (como los barrios) utilizando datos de encuestas supone hacer frente al problema de insuficiente tamaño muestral. Para superar esta limitación exploramos técnicas de alisado con el fin de estimar la prevalencia de mala salud mental a nivel de barrio y analizar su patrón por renta en la ciudad de Barcelona (España). Método: Se aplicó un modelo de alisado bayesiano con transformación logística-normal a cuatro muestras transversales repetidas de la Encuesta de Salud de Barcelona para los años 2001, 2006, 2011 y 2016. La salud mental fue identificada con el Cuestionario General de Salud de 12-items. Las desigualdades de ingreso se analizaron por cuantiles de la renta por barrio para cada año y las tendencias en el análisis conjunto. Resultados: La prevalencia de mala salud mental oscila entre el 14,6% en 2001 y el 18,9% en 2016. La diferencia entre barrios fue del 12,4% en 2001, del 16,7% en 2006, del 14,2% en 2011 y del 20,0% en 2016. La odds ratio y el intervalo creíble al 95% (IC95%) de experimentar mala salud mental fue 1,4 veces superior (IC95%: 1,02-1,91) en los barrios menos aventajados respecto de los más aventajados en 2001, de 1,61 (IC95%: 1,01-2,59) en 2006 y de 2,31 (IC95%: 1,57-3,40) en 2016. Conclusiones: Este estudio muestra que las técnicas de alisado bayesiano permiten la detección de desigualdades en salud a nivel de barrios para su monitorización e intervención con el fin de reducirlas. En Barcelona, los problemas de salud mental son más prevalentes en los barrios de menor renta y se incrementaron en 2016. (AU)

Socioeconomic inequalities in self-assessed health and mental health in Barcelona, 2001-2016 / Desigualdades socioeconómicas en salud percibida y salud mental en Barcelona, 2001-2016

Objective: Previous research has found persistent socioeconomic inequalities in health outcomes at the national level, with different patterns after the economic crisis. However, inequalities in urban areas are also important. This study analyses socioeconomic inequalities in self-assessed health and mental health in the city of Barcelona. Method: Repeated cross-sectional design using quinquennial data from the Barcelona Health Surveys carried out in 2001, 2006, 2011 and 2016 for the population older than 22 years. Robust Poisson regressions models were used to compute socioeconomic gradients and relative (RII) and slope indexes of inequality (SII) by occupational social class, with stratification by sex. RII and SII were also obtained with further adjustment by employment situation. Results: A consistent socioeconomic gradient was found for all years except for 2011. Relative and absolute inequalities followed a V-shape, showing a drop during the economic crisis but widening thereafter to recover pre-crisis figures for self-assessed health and widening for mental health, in both relative and absolute terms in 2016. Adjustment for employment situation reduces inequalities but a large part of these inequalities remains, with variability across years. Conclusions: The lasting effects of the 2008 economic crisis and the austerity programmes imposed since then may have contributed to the persistence of socioeconomic inequalities in self-assessed health and the widening of those for mental health. (AU)

Objetivo: La investigación previa ha reportado desigualdades socioeconómicas persistentes en salud en el territorio nacional, con diferentes patrones después de la crisis económica. Sin embargo, las desigualdades en las áreas urbanas son también importantes. Este estudio analiza las desigualdades en salud autopercibida y salud mental en la ciudad de Barcelona. Método: Diseño de corte transversal con datos quinquenales de la Encuesta de Salud de Barcelona llevada a cabo en 2001, 2006, 2011 y 2016 para la población mayor de 22 años. Se utilizan modelos de regresión robusta de Poisson para calcular el gradiente social y los riesgos relativo (RII) y absoluto de desigualdad (SII) por clase social ocupacional, estratificando por sexo. El RII y el SII se obtienen también ajustando adicionalmente por situación laboral. Resultados: Se encuentra un gradiente social para todos los años excepto para 2011. Se observan desigualdades relativas y absolutas en forma de V para la salud autopercibida, con una reducción durante la crisis económica, pero recuperándose a partir de esta para volver a los valores anteriores a la crisis para salud autopercibida y ampliándose para la salud mental, tanto en términos relativos como absolutos, en 2016. Ajustar por la situación laboral reduce las desigualdades, pero una gran parte de estas desigualdades permanece, con variabilidad, en los años. Conclusiones: Los efectos duraderos de la crisis económica de 2008 y los programas de austeridad impuestos desde entonces pueden haber contribuido a la persistencia de las desigualdades socioeconómicas en salud autopercibida y a su ampliación en la salud mental. (AU)

Neighbourhood income inequalities in mental health in Barcelona 2001-2016: a Bayesian smoothed estimate.

OBJECTIVE: Obtaining reliable health estimates at the small area level (such as neighbourhoods) using survey data usually poses the problem of small sample sizes. To overcome this limitation, we explored smoothing techniques in order to estimate poor mental health prevalence at the neighbourhood level and analyse its profile by income in Barcelona city (Spain). METHOD: A Bayesian smoothing model with a logit-normal transformation was applied to four repeated cross-sectional waves of the Barcelona health survey for 2001, 2006, 2011 and 2016. Mental health status was identified from the 12-item General Health Questionnaire. Income inequalities were analysed with neighbourhood income in quantiles for each year and trends in the pooled analysis. RESULTS: The prevalence of poor mental health ranged from 14.6% in 2001 to 18.9% in 2016. The yearly difference between neighbourhoods was 12.4% in 2001, 16.7% in 2006, 14.2% in 2011, and 20.0% in 2016. The odds ratio and 95% credible interval (95%CI) of experiencing poor mental health was 1.40 times higher (95%CI: 1.02-1.91) in less advantaged neighbourhoods than in more advantaged neighbourhoods in 2001, 1.61 times higher (95%CI: 1.01-2.59) in 2006 and 2.31 times higher (95%CI: 1.57-3.40) in 2016. CONCLUSIONS: This study shows that the Bayesian smoothed techniques allows detection of inequalities in health in neighbourhoods and monitoring of interventions against them. In Barcelona, mental health problems are more prevalent in low-income neighbourhoods and raised in 2016.

Inequalities in life expectancy by educational level and its decomposition in Barcelona, 2004-2018.

OBJECTIVE: To analyse the gap in life expectancy by educational level in the city of Barcelona from 2004 to 2018 and to decompose this gap by age and causes of death. METHOD: We computed abridged life tables at the age of 25 years by sex from 2004 to 2018 using standard methods. Educational level was categorised in two groups (lower secondary or less vs. upper secondary or higher education). The life expectancy gap was further decomposed by age and by causes of death based in Arriaga's method in 5-year age blocks up to the age of ≥ 90 years and broad causes of death using ICD-10 codes. RESULTS: The life expectancy gap at 25 years by educational level oscillated without trend at around 3.08 years for men and 1.93 years for women. Decomposition by age showed a favourable significant shift in the contribution to this gap from young to older ages for men, with few changes for women. Decomposition by causes of death showed that the diseases concentrating the largest share of the contribution were neoplasms and respiratory and circulatory disease. There was a significant downward trend in external causes for men and in infectious diseases for both men and women but a significant upward trend for respiratory disease for both sexes. CONCLUSIONS: The stability of the life expectancy gap by educational level during the period analysed resulted from a combination of divergent trends by age and causes of death among high and low educational levels.

Socioeconomic inequalities in self-assessed health and mental health in Barcelona, 2001-2016.

OBJECTIVE: Previous research has found persistent socioeconomic inequalities in health outcomes at the national level, with different patterns after the economic crisis. However, inequalities in urban areas are also important. This study analyses socioeconomic inequalities in self-assessed health and mental health in the city of Barcelona. METHOD: Repeated cross-sectional design using quinquennial data from the Barcelona Health Surveys carried out in 2001, 2006, 2011 and 2016 for the population older than 22 years. Robust Poisson regressions models were used to compute socioeconomic gradients and relative (RII) and slope indexes of inequality (SII) by occupational social class, with stratification by sex. RII and SII were also obtained with further adjustment by employment situation. RESULTS: A consistent socioeconomic gradient was found for all years except for 2011. Relative and absolute inequalities followed a V-shape, showing a drop during the economic crisis but widening thereafter to recover pre-crisis figures for self-assessed health and widening for mental health, in both relative and absolute terms in 2016. Adjustment for employment situation reduces inequalities but a large part of these inequalities remains, with variability across years. CONCLUSIONS: The lasting effects of the 2008 economic crisis and the austerity programmes imposed since then may have contributed to the persistence of socioeconomic inequalities in self-assessed health and the widening of those for mental health.

Precarious Employment and Stress: The Biomedical Embodiment of Social Factors. PRESSED Project Study Protocol.

The PRESSED project aims to explain the links between a multidimensional measure of precarious employment and stress and health. Studies on social epidemiology have found a clear positive association between precarious employment and health, but the pathways and mechanisms to explain such a relationship are not well-understood. This project aims to fill this gap from an interdisciplinary perspective, integrating the social and biomedical standpoints to comprehensively address the complex web of consequences of precarious employment and its effects on workers' stress, health and well-being, including health inequalities. The project objectives are: (1) to analyze the association between multidimensional precarious employment and chronic stress among salaried workers in Barcelona, measured both subjectively and using biological indicators; (2) to improve our understanding of the pathways and mechanisms linking precarious employment with stress, health and well-being; and (3) to analyze health inequalities by gender, social class and place of origin for the first two objectives. The study follows a sequential mixed design. First, secondary data from the 2017 Survey on Workers and the Unemployed of Barcelona is analyzed (N = 1,264), yielding a social map of precarious employment in Barcelona that allows the contextualization of the scope and characteristics of this phenomenon. Drawing on these results, a second survey on a smaller sample (N = 255) on precarious employment, social precariousness and stress is envisaged. This study population is also asked to provide a hair sample to have their levels of cortisol and its related components, biomarkers of chronic stress, analyzed. Third, a sub-sample of the latter survey (n = 25) is selected to perform qualitative semi-structured interviews. This allows going into greater depth into how and why the experience of uncertainty, the precarization of living conditions, and the degradation of working conditions go hand-in-hand with precarious employment and have an impact on stress, as well as to explore the potential role of social support networks in mitigating these effects.