Effectiveness of a community intervention to reduce social isolation among older people in low-income neighbourhoods

Background: Social and demographic trends show a global increase of proportion of older people at risk of social isolation. This study aimed to evaluate the effectiveness of an intervention conducted in low-income neighbourhoods to reduce social isolation and its negative effects on health in older persons. Methods: A quasi-experimental study with a comparison group was performed. The 'School of Health for Older People' is a weekly community intervention that promotes resources among individuals and communities to enhance their ability to identify problems and activate solutions, encouraging community participation. Data were collected at the beginning and at the end of the intervention. Social support, psychological morbidity and health-related quality of life were measured through questionnaires information on visits to the primary care centre was obtained from the electronic medical records of primary care centres. Multivariate regression models were conducted to assess changes after the intervention. Results: A total of 135 participants were included in the study. The intervention helped to improve participants' mental health (aPR = 0.46; 95% CI: 0.23-0.90) comparing with the comparison group. Also, the intervention helped to maintain quality of life and social support, which were worsened or maintained respectively in the case of comparison group. Conclusions: Our results provide evidence on how a community intervention can improve quality of life, mental health and social support in older people. The evidence can help to fill the knowledge gap in this area and might be especially useful for the design of social and public health policies and programmes for older people in disadvantaged neighbourhoods in urban areas. Trial registration: NCT0314204

Stable socioeconomic inequalities in ischaemic heart disease mortality during the economic crisis : A time trend analysis in 2 Spanish settings

Prior studies have identified a decrease in ischaemic heart disease mortality during the recent economic recession. The Spanish population was severely affected by the Great Recession, however, there is little evidence on its effects on socioeconomic inequalities in ischaemic heart disease mortality. This study examines trends in socioeconomic inequalities in mortality due to ischaemic heart disease (IHD). We used linked census records with mortality registers available from the Basque Country and Barcelona city for population above 25 years, between 2001 and 04, the accelerated economic growth period of 2005-08, and 2009-12, with the last period coinciding with the Great Recession. Applying Poisson models, we calculated relative and absolute indexes of inequalities by education level for each period, age group, gender, and site. We found moderate age-adjusted inequalities in IHD with a gradient of increasing rates through less educational level, but no significant evidence of increasing trends in socioeconomic inequalities in IHD mortality, rather an inverted U-shape time trend in some groups below 75 years in relative inequalities. Absolute inequalities decrease in the last period except for women from 50 to 64 years. This study shows that the economic crisis has not increased socioeconomic inequalities in IHD mortality in two geographical settings in Spain

The association of energy poverty with health, health care utilisation and medication use in southern Europe

Energy poverty (EP) is defined as the inability of a household to secure a socially and materially required level of energy services in the home. The main objective of this study was to analyse the association between EP and distinct indicators of health status, health services utilisation and medication use in southern Europe, using the city of Barcelona as a case study. We conducted a cross-sectional study using the data of the Barcelona Health Survey for 2016 (n = 3519, 53.3% women). We calculated EP percentages according to age, country of birth and social class. We analysed the association between EP and 26 health-related indicators through prevalence ratios (PR), and quantified the impact of EP on health at the population level by calculating the percentage of population attributable risk (PAR%). In Barcelona, 13.3% of women and 11.3% of men experienced EP. The most frequently affected groups were people born in low- and middle-income countries, those from more disadvantaged social classes, and women aged 65 years and older. We found a strong association between EP and worse health status, as well as higher use of health services and medication. For example, compared with women without EP, those with EP reported poor mental health 1.9 (95% CI: 1.6-2.4) times more frequently. Compared with men without EP, those with EP reported poor mental health 2.1 (95% CI: 1.6-2.8) times more frequently. The combination of high EP prevalence and the strong association between EP and negative health outcomes resulted in high PAR%, indicating the striking impact of EP on health and health services at the population level. EP is an important public health problem in southern European urban contexts that should be included in policy priorities in order to address its structural causes and minimise its unfair and avoidable health effects

Geographical inequalities in energy poverty in a Mediterranean city : Using small-area Bayesian spatial models

Altres ajuts: Ministerio de Economía y Competitividad; European Union, European Regional Development Fund (FEDER); CIBER Epidemiología Salud Pública (CIBERESP), sub-program "Energy Poverty and Health"; Fondo Social Europeo.Energy poverty (EP) is becoming an increasingly important problem in the urban contexts of southern Europe. In Barcelona, EP indicators are higher than those of the European Union and are strongly associated with poor health status and high use of health services and medication, becoming a major public health problem. EP is unevenly distributed in the population of Barcelona, according to axes of social stratification. However, its geographic distribution at the small-area level remains unknown because it cannot be directly estimated with the available information sources and commonly used methods. Therefore, the aim of this study was to analyze geographical inequalities in EP in Barcelona by estimating reliable small-area EP indicators and a composite indicator (index). We used a novel method that allowed us to obtain 6 EP indicators for the 73 Barcelona neighborhoods and an EP index from a principal component analysis of these indicators. We found major geographical inequalities in the distribution of EP in Barcelona. Many neighborhoods had significantly higher EP than the city average, and these areas made up 3 well-defined spatial clusters. Therefore, the estimated small-area indicators and index allowed identification of the most affected neighborhoods. These results indicate the need to prioritize these areas for local interventions to alleviate EP, and could also be used for policy making

Multi-level policy responses to tackle socioeconomic inequalities in the incidence of COVID-19 in a European urban area

Background: Spain has been hit hard by COVID-19 since March 2020, especially in its metropolitan areas. We share experiences from Barcelona in measuring socioeconomic inequalities in the incidence of COVID-19 in the different waves, and in implementing coordinated and equity-oriented public health policy responses. Methods: We collected daily data on confirmed COVID-19 cases, geocoded the address of residence to assign each case to one of the 73 neighborhoods and 1068 census tracts, and calculated the cumulative incidence of COVID-19 by neighborhood and five income groups (quintiles of census tracts) by sex across four waves of the pandemic. We adjusted hierarchical Bayesian spatial models to obtain the relative risk (RR) of cumulative incidences in each quintile compared with the richest areas. A variety of public health policies implemented to tackle the pandemic and especially these inequalities in COVID-19 incidence and vaccination are selected and described. Results: Area-level income inequalities in the incidence of COVID-19 were present at different degree in all four waves. In the second wave (10/1/2020 to 12/6/2020), RR for the poorest income quintile census tracts compared with the richest was 1.43 (95% credible interval-CI-: 1.22-1.67) for men and 1.58 (95% CI: 1.35-1.83) for women. Later, inequalities in vaccination coverage also arose. Equity-oriented policy responses included: "health hotels" or home delivery of basic products for individuals with COVID-19 and without adequate conditions for isolation; new emergency facilities for homeless people, including those with active drug use; mass screening in high incidence areas; contingency plans for nursing homes and schools; adapting community health programs for their early reactivation; digital self-appointment support points and community vaccination days. Conclusion: COVID-19 hit Barcelona neighborhoods unequally, with variations between waves. The rapid availability of geolocalized data and by socioeconomic level helped public authorities to implement targeted policies and collaborative interventions for the most vulnerable populations. Further studies would be needed to evaluate their impact

Spatial Variability of Heat-Related Mortality in Barcelona from 1992-2015: A Case Crossover Study Design.

Numerous studies have demonstrated the relationship between summer temperatures and increased heat-related deaths. Epidemiological analyses of the health effects of climate exposures usually rely on observations from the nearest weather station to assess exposure-response associations for geographically diverse populations. Urban climate models provide high-resolution spatial data that may potentially improve exposure estimates, but to date, they have not been extensively applied in epidemiological research. We investigated temperature-mortality relationships in the city of Barcelona, and whether estimates vary among districts. We considered georeferenced individual (natural) mortality data during the summer months (June-September) for the period 1992-2015. We extracted daily summer mean temperatures from a 100-m resolution simulation of the urban climate model (UrbClim). Summer hot days (above percentile 70) and reference (below percentile 30) temperatures were compared by using a conditional logistic regression model in a case crossover study design applied to all districts of Barcelona. Relative Risks (RR), and 95% Confidence Intervals (CI), of all-cause (natural) mortality and summer temperature were calculated for several population subgroups (age, sex and education level by districts). Hot days were associated with an increased risk of death (RR = 1.13; 95% CI = 1.10-1.16) and were significant in all population subgroups compared to the non-hot days. The risk ratio was higher among women (RR = 1.16; 95% CI= 1.12-1.21) and the elderly (RR = 1.18; 95% CI = 1.13-1.22). Individuals with primary education had similar risk (RR = 1.13; 95% CI = 1.08-1.18) than those without education (RR = 1.10; 95% CI= 1.05-1.15). Moreover, 6 out of 10 districts showed statistically significant associations, varying the risk ratio between 1.12 (95% CI = 1.03-1.21) in Sants-Montjuïc and 1.25 (95% CI = 1.14-1.38) in Sant Andreu. Findings identified vulnerable districts and suggested new insights to public health policy makers on how to develop district-specific strategies to reduce risks

Climate Change and Health in Urban Areas with a Mediterranean Climate : A Conceptual Framework with a Social and Climate Justice Approach

The consequences of climate change are becoming increasingly evident and highlight the important interdependence between the well-being of people and ecosystems. Although climate change is a global phenomenon, its causes and consequences vary dramatically across territories and population groups. Among settings particularly susceptible to health impacts from climate change are cities with a Mediterranean climate. Here, impacts will put additional pressure on already-stressed ecosystems and vulnerable economies and societies, increasing health inequalities. Therefore, this article presents and discusses a conceptual framework for understanding the complex relationship between climate change and health in the context of cities with Mediterranean climate from a social and climate justice approach. The different elements that integrate the conceptual framework are: (1) the determinants of climate change; (2) its environmental and social consequences; (3) its direct and indirect impacts on health; and (4) the role of mitigation and adaptation policies. The model places special emphasis on the associated social and health inequalities through (1) the recognition of the role of systems of privilege and oppression; (2) the distinction between structural and intermediate determinants of climate change at the root of health inequalities; (3) the role of individual and collective vulnerability in mediating the effects of climate change on health; and (4) the need to act from a climate justice perspective to reverse health inequities

socioeconomic inequalities in suicide mortality in european urban areas before and during the economic recession

Abstract Background Few studies have assessed the impact of the financial crisis on inequalities in suicide mortality in European urban areas. The objective of the study was to analyse the trend in area socioeconomic inequalities in suicide mortality in nine European urban areas before and after the beginning of the financial crisis. Methods This ecological study of trends was based on three periods, two before the economic crisis (2000–2003, 2004–2008) and one during the crisis (2009–2014). The units of analysis were the small areas of nine European cities or metropolitan areas, with a median population ranging from 271 (Turin) to 193 630 (Berlin). For each small area and sex, we analysed smoothed standardized mortality ratios of suicide mortality and their relationship with a socioeconomic deprivation index using a hierarchical Bayesian model. Results Among men, the relative risk (RR) comparing suicide mortality of the 95th percentile value of socioeconomic deprivation (severe deprivation) to its 5th percentile value (low deprivation) were higher than 1 in Stockholm and Lisbon in the three periods. In Barcelona, the RR was 2.06 (95% credible interval: 1.24–3.21) in the first period, decreasing in the other periods. No significant changes were observed across the periods. Among women, a positive significant association was identified only in Stockholm (RR around 2 in the three periods). There were no significant changes across the periods except in London with a RR of 0.49 (95% CI: 0.35–0.68) in the third period. Conclusions Area socioeconomic inequalities in suicide mortality did not change significantly after the onset of the crisis in the areas studied