Association between maternity leave policies and postpartum depression: a systematic review.

PURPOSE: Working mothers are at greater risk for postpartum depression. Maternity leave characteristics, including length, wage replacement and employment protection, could have relevant implications for mothers' mental health. We propose to explore whether there is an association between maternity leave characteristics and postpartum depression. METHODS: We conducted a systematic review searching for randomized controlled trials, quasi-experimental, cohort or cross-sectional studies on five databases using search terms including maternity and parental leave and depression, as well as references in relevant articles. We identified 500 articles and included 23 of those. We used the EPHPP Quality Assessment Tool for Quantitative Studies to assess the quality of the studies. RESULTS: Paid and longer maternity leaves tend to be associated with a reduction of postpartum depression symptoms in high-income countries. No studies explored the association between employment protection and postpartum depression. The quality of studies ranged from strong to weak, mostly influenced by study design. CONCLUSION: More restrictive maternity leave policies tend to be associated with higher rates of postpartum depression, although more research needs to be conducted in the Global South.

Excess Mortality during the COVID-19 Pandemic in Cities of Chile: Magnitude, Inequalities, and Urban Determinants.

We estimated excess mortality in Chilean cities during the COVID-19 pandemic and its association with city-level factors. We used mortality, and social and built environment data from the SALURBAL study for 21 Chilean cities, composed of 81 municipalities or "comunas", grouped in 4 macroregions. We estimated excess mortality by comparing deaths from January 2020 up to June 2021 vs 2016-2019, using a generalized additive model. We estimated a total of 21,699 (95%CI 21,693 to 21,704) excess deaths across the 21 cities. Overall relative excess mortality was highest in the Metropolitan (Santiago) and the North regions (28.9% and 22.2%, respectively), followed by the South and Center regions (17.6% and 14.1%). At the city-level, the highest relative excess mortality was found in the Northern cities of Calama and Iquique (around 40%). Cities with higher residential overcrowding had higher excess mortality. In Santiago, capital of Chile, municipalities with higher educational attainment had lower relative excess mortality. These results provide insight into the heterogeneous impact of COVID-19 in Chile, which has served as a magnifier of preexisting urban health inequalities, exhibiting different impacts between and within cities. Delving into these findings could help prioritize strategies addressed to prevent deaths in more vulnerable communities.

[Excess mortality in 2020 in the working-age population of nine Latin American countriesExcesso de mortalidade na população em idade ativa em nove países da América Latina no ano de 2020]. / Exceso de mortalidad en población en edad de trabajar en nueve países de Latinoamérica, año 2020.

Objective: Estimate the impact of the COVID-19 pandemic in 2020, through excess all-cause mortality and potential years of productive life lost (YPLL) in the working-age population, in selected Latin American and Caribbean countries. Methods: Study based on data on deaths from all causes from age 15 to 69 years, mainly from national institutes of statistics. Estimates of expected deaths were based on reported deaths from 2015 to 2019. Excess mortality was estimated using the P indicator, standardized mortality ratio (SMR), and potential YPLL up to age 70 years. Results: Excess deaths in Brazil, Bolivia, Chile, Colombia, Costa Rica, Cuba, the Dominican Republic, Mexico, and Peru totaled 426 978 (279 591 men and 147 438 women), representing a potential loss of 5 710 048 (3 738 775 in men and 1 971 273 in women) years of productive life. Observed mortality was significantly higher than expected in all countries except the Dominican Republic. Conclusions: COVID-19 in the working-age population will have a profound impact on socio-economic conditions. Timely counting of excess deaths is useful and can be used as an early warning system to monitor the magnitude of COVID-19 outbreaks. Monitoring of excess mortality in working-age people by the Ibero-American Observatory on Safety and Health at Work enables more accurate assessment of the social and economic burden of COVID-19.

Objetivo: Estimar o impacto da pandemia de COVID-19 durante o ano de 2020, por meio do excesso de mortalidade por todas as causas e dos anos produtivos de vida perdidos (APrVP) na população em idade ativa, em uma seleção de países da América Latina e do Caribe. Métodos: Estudo baseado em dados de óbitos por todas as causas entre 15 e 69 anos, principalmente dos Institutos Nacionais de Estatística. Os óbitos esperados foram estimados a partir daqueles registrados entre 2015 e 2019. O excesso de mortalidade foi estimado por meio do indicador P, da razão de mortalidade padronizada (RMP) e dos APrVP até os 70 anos. Resultados: O excesso de óbitos no Brasil, na Bolívia, no Chile, na Colômbia, na Costa Rica, em Cuba, no México, no Peru e na República Dominicana totalizou 426 978 (279 591 em homens e 147 438 em mulheres), o que representou uma perda de 5 710 048 (3 738 775 em homens e 1 971 273 em mulheres) APrVP. A mortalidade observada foi significativamente maior do que o esperado em todos os países, exceto na República Dominicana. Conclusões: O impacto da COVID-19 na população em idade ativa terá um impacto profundo na situação socioeconómica. O cálculo oportuno do excesso de mortes é útil e pode ser usado como um sistema de alerta precoce para monitorar a magnitude dos surtos de COVID-19. O monitoramento do excesso de mortalidade em pessoas em idade ativa, realizado pelo Observatório Ibero-Americano de Segurança e Saúde no Trabalho, permite avaliar com mais precisão a carga social e econômica da COVID-19.

Building a Data Platform for Cross-Country Urban Health Studies: the SALURBAL Study.

Studies examining urban health and the environment must ensure comparability of measures across cities and countries. We describe a data platform and process that integrates health outcomes together with physical and social environment data to examine multilevel aspects of health across cities in 11 Latin American countries. We used two complementary sources to identify cities with ≥ 100,000 inhabitants as of 2010 in Argentina, Brazil, Chile, Colombia, Costa Rica, El Salvador, Guatemala, Mexico, Nicaragua, Panama, and Peru. We defined cities in three ways: administratively, quantitatively from satellite imagery, and based on country-defined metropolitan areas. In addition to "cities," we identified sub-city units and smaller neighborhoods within them using census hierarchies. Selected physical environment (e.g., urban form, air pollution and transport) and social environment (e.g., income, education, safety) data were compiled for cities, sub-city units, and neighborhoods whenever possible using a range of sources. Harmonized mortality and health survey data were linked to city and sub-city units. Finer georeferencing is underway. We identified 371 cities and 1436 sub-city units in the 11 countries. The median city population was 234,553 inhabitants (IQR 141,942; 500,398). The systematic organization of cities, the initial task of this platform, was accomplished and further ongoing developments include the harmonization of mortality and survey measures using available sources for between country comparisons. A range of physical and social environment indicators can be created using available data. The flexible multilevel data structure accommodates heterogeneity in the data available and allows for varied multilevel research questions related to the associations of physical and social environment variables with variability in health outcomes within and across cities. The creation of such data platforms holds great promise to support researching with greater granularity the field of urban health in Latin America as well as serving as a resource for the evaluation of policies oriented to improve the health and environmental sustainability of cities.

Informal employees in the European Union: working conditions, employment precariousness and health.

BACKGROUND: The aim of this study is to estimate the prevalence of informal workers and their working conditions and employment precariousness in the EU-27; and to explore the association of different contract arrangements with health outcomes and how they are influenced by working and employment conditions. METHODS: A sample of 27 245 working-age employees from the fifth European Working Condition Survey of 2010 was analysed. Logistic regression models were fitted to estimate the contribution of different contract arrangement (permanent, temporary and informal) and working and employment precariousness variables on health outcomes (psychosocial well-being and self-rated health). RESULTS: Prevalence of informal employees in the EU-27 is 4.1% among men and 5.1% among women. Although informal employees have the poorest working conditions and employment precariousness, they did not seem to reflect poorer health. Precariousness employment variables have a greater impact than working conditions variables in reducing the association between health outcomes and type of contract arrangement, especially in the case of informal employees. CONCLUSIONS: Informal employment in the EU-27 is characterized by worse working conditions and employment precariousness than the conditions for formal employees. There is no evidence at all that being in informal employment implies better health outcomes compared to permanent employees.

Work and health in Latin America: results from the working conditions surveys of Colombia, Argentina, Chile, Central America and Uruguay.

OBJECTIVE: To describe working and employment conditions, and health status between non-agricultural employees with a written contract from Colombia, Argentina, Chile, Central America and Uruguay. METHODS: We compared data from the first working condition surveys (WCS) of Colombia, Argentina, Chile, Central America and Uruguay. For comparative purposes, we selected a subsample of 15 241 non-agricultural employees aged 18-64 years and working with a written contract. We calculated prevalences and 95% CIs for the selected variables on working and employment conditions, and health status, separated by sex. RESULTS: Across all countries, at least 40% of women and 58% of men worked >40 hours a week. The most prevalent exposures were repetitive movements, followed by noise and manual handling, especially among men. Psychosocial exposures were very common among both sexes. Workers in Chile (33.4% of women and 16.6% of men) and Central America (24.3% of women and 19.1% of men) were more likely to report poor self-perceived health and were least likely to do so in Colombia (5.5% of women and 4.2% of men). The percentage of workers reporting occupational injuries was <10% across all countries. CONCLUSIONS: This study provides, for the first time, a broad picture of work and health in different Latin American countries, based on the national WCSs available. This allows for a better understanding of occupational health and could serve as a baseline for future research and surveillance of work and health in the Region. However, greater efforts are needed to improve WCSs comparability.

Study protocol for the Maule Cohort (MAUCO) of chronic diseases, Chile 2014-2024.

BACKGROUND: Maule Cohort (MAUCO), a Chilean cohort study, seeks to analyze the natural history of chronic diseases in the agricultural county of Molina (40,000 inhabitants) in the Maule Region, Chile. Molina´s population is of particular interest because in the last few decades it changed from being undernourished to suffering excess caloric intake, and it currently has the highest national rates of cardiovascular diseases, stomach cancer and gallbladder cancer. Between 2009 and 2011 Molina´s poverty rate dropped from 24.1 % to 13.5 % (national average 20.4 %); in this period the county went from insufficient to almost complete basic sanitation. Despite these advances, chemical pollutants in the food and air are increasing. Thus, in Molina risk factors typical of both under-developed and developed countries coexist, generating a unique profile associated with inflammation, oxidative stress and chronic diseases. METHODS/DESIGN: MAUCO is the core project of the recently established Advanced Center for Chronic Diseases (ACCDiS), Universidad de Chile & Pontificia Universidad Católica de Chile. In this study, we are enrolling and following 10,000 adults aged 38 to 74 years over 10 years. All eligible Molina residents will be enrolled. Participants were identified through a household census. Consenting individuals answer an epidemiological survey exploring risk factors (psycho-social, pesticides, diet, alcohol, and physical activity), medical history and physical and cognitive conditions; provide fasting blood, urine, and saliva samples; receive an electrocardiogram, abdominal ultrasound and bio-impedance test; and take a hand-grip strength test. These subjects will be re-interviewed after 2, 5 and 7 years. Active surveillance of health events is in place throughout the regional healthcare system. The MAUCO Bio-Bank will store 30 to 50 aliquots per subject using an NIH/NCI biorepository system for secure and anonymous linkage of samples with data. DISCUSSION: MAUCO´s results will help design public health interventions tailored to agricultural populations in Latin America.

The Influence of Social and Developmental Factors on the Timing of Autism Spectrum Disorder Diagnosis of Preschool-Aged Children: Evidence from a Specialized Chilean Center.

We investigated the influence of developmental and social factors on the age of autism diagnosis (AoD) in a cohort of toddlers living in Chile. A cross-sectional study was conducted among 509 preschool children diagnosed with autism spectrum disorder [M = 40.2 months (SD = 8.6), girls: 32%] in the neurodevelopmental unit of a university clinic in Santiago, Chile (2015-2023). Structural changes in the annual trend of AoD were tested. Generalized linear models (gamma distribution) with and without interaction terms were used for the multivariate analysis, adjusting for gender, residential area, year of diagnosis, developmental variables (language regression, delayed walking, and use of expressive verbal language), and primary caregiver age and education level (CEL). 95% confidence intervals of the unstandardized regression coefficients (B) were calculated using 1000 bootstrap resampling to estimate associations. AoD increased between 2021-2022 and decreased in 2023. Female gender (B = 2.72 [1.21-4.23]), no history of language regression (B = 3.97 [1.66-6.28]), and the presence of expressive verbal language at diagnosis (B = 1.57 [0.05-3.08]) were associated with higher AoD. Children whose caregivers had tertiary education were diagnosed earlier than those with ≤ 12 years of formal education. Although the influence of CEL increased with caregiver age, differences between CEL groups were significant only for caregivers aged ≥ 30 years. Improved education and early screening for clinical features of autism among healthcare professionals and the community, with a focus on young children without highly apparent developmental concerns and those from vulnerable social groups, are warranted.

Social inequalities in self-perceived health in Chile, does the urban environment matter?: a cross-sectional study.

BACKGROUND: The health of a population is determined by urban factors such as the physical, social and safety environment, which can be modified by urban regeneration policies. The aim of this study was to analyze the associations of elements of the social, physical and safety environment of the neighborhood in the urban context with self-perceived health (SPH), according to axes of inequality, such as gender and educational level in Chile in 2016. METHODS: Cross-sectional study using a nationally representative population-based survey of Chile. We used data from the 2016 National Survey of Quality of Life and Health. Poor SPH in the urban population older than 25 years was analyzed in relation to social, physical and safety environment variables. Poisson multilevel regression models were estimated to obtain prevalence ratios (PR) and their respective 95% confidence intervals (95%CI). All analyses were stratified by sex and educational level. RESULTS: SPH was worse in women than in men, especially in those with a lower education level. Poor SPH was associated with lack of support networks (PR = 1.4; 95%CI = 1.1-1.7), non-participation in social organizations (PR = 1.3; 95%CI = 1.1-1.6) and perceived problems with the quality of public space (PR = 1.3; 95%CI = 1.2-1.5) in women with a medium-high educational level and with a feeling of not belonging to the neighborhood (PR = 1.5; 95%CI = 1.2-1.8) and the perception of pollution problems (PR = 1.2; 95%CI = 1.0-1.4) in women with a low educational level. A feeling of unsafety was associated with both educational levels (PR = 1.3; 95%CI = 1.0-1.5). Poor SPH was associated with the feeling of not belonging (PR = 1.7; 95%CI = 1.2-2.5), and unsafety (PR = 2.1; 95%CI = 1.8-2.4) in men with a medium-high educational level, while there were fewer associations in men with a lower education level. CONCLUSIONS: Urban interventions are recommended to improve the health of the resident population and should take into account axes of inequality.

Assessing cohesion and diversity in the collaboration network of the SALURBAL project.

The SALURBAL (Urban Health in Latin America) Project is an interdisciplinary multinational network aimed at generating and disseminating actionable evidence on the drivers of health in cities of Latin America. We conducted a temporal multilayer network analysis where we measured cohesion over time using network structural properties and assessed diversity within and between different project activities according to participant attributes. Between 2017 and 2020 the SALURBAL network comprised 395 participants across 26 countries, 23 disciplines, and 181 institutions. While the cohesion of the SALURBAL network fluctuated over time, overall, an increase was observed from the first to the last time point of our analysis (clustering coefficient increased [0.83-0.91] and shortest path decreased [1.70-1.68]). SALURBAL also exhibited balanced overall diversity within project activities (0.5-0.6) by designing activities for different purposes such as capacity building, team-building, research, and dissemination. The network's growth was facilitated by the creation of new diverse collaborations across a range of activities over time, while maintaining the diversity of existing collaborations (0.69-0.75 between activity diversity depending on the attribute). The SALURBAL experience can serve as an example for multinational research projects aiming to build cohesive networks while leveraging heterogeneity in countries, disciplines, career stage, and across sectors.

Experiences of insecurity among non-standard workers across different welfare states: A qualitative cross-country study.

In recent decades, economic crises and political reforms focused on employment flexibilization have increased the use of non-standard employment (NSE). National political and economic contexts determine how employers interact with labour and how the state interacts with labour markets and manages social welfare policies. These factors influence the prevalence of NSE and the level of employment insecurity it creates, but the extent to which a country's policy context mitigates the health influences of NSE is unclear. This study describes how workers experience insecurities created by NSE, and how this influences their health and well-being, in countries with different welfare states: Belgium, Canada, Chile, Spain, Sweden, and the United States. Interviews with 250 workers in NSE were analysed using a multiple-case study approach. Workers in all countries experienced multiple insecurities (e.g., income and employment insecurity) and relational tension with employers/clients, with negative health and well-being influences, in ways that were shaped by social inequalities (e.g., related to family support or immigration status). Welfare state differences were reflected in the level of workers' exclusion from social protections, the time scale of their insecurity (threatening daily survival or longer-term life planning), and their ability to derive a sense of control from NSE. Workers in Belgium, Sweden, and Spain, countries with more generous welfare states, navigated these insecurities with greater success and with less influence on health and well-being. Findings contribute to our understanding of the health and well-being influences of NSE across different welfare regimes and suggest the need in all six countries for stronger state responses to NSE. Increased investment in universal and more equal rights and benefits in NSE could reduce the widening gap between standard and NSE.

[Precarious employment Measurement in Central America: psychometric properties based on the II Central American Survey of Working Conditions and Health]. / Medida de la precariedad laboral en Centroamérica: propiedades psicométricas en base a la II Encuesta Centroamericana de Condiciones de Trabajo y Salud.

OBJECTIVE: Identify the psychometric properties of a measure of Employment Precariousness (EP) in six Central American Spanish-speaking countries (Costa Rica, El Salvador, Guatemala, Honduras, Nicaragua, and Panama) through the items of the EPRES scale (Employment Precariousness Scale) included in the II Central American Survey of Working Conditions and Health (II ECCTS) of 2018. METHODS: The sample was 3,782 salaried persons, aged 18 and older, formal and informal, who participated in the II ECCTS. An EP measure of 10 items was constructed, grouped in the dimensions of temporality, salary, labor rights, and exercise of these rights. RESULTS: The sample was composed mostly of men, with a permanent contract, with a working age of between 2 to 5 years, a salary between $301 and $500s, who have labor rights and who exercise them. The factorial structure could not be verified. However, nine of the ten articles showed a high factorial load with their dimensions. A high acceptability of the EP measure was observed, and the Cronbach's Alpha coefficients of the dimensions were between 0.59 and 0.72, except for temporality (0.30). The reliability of the total scale was 0.68 and the EP patterns in women, youth, temporary and lower income countries were as expected. CONCLUSIONS: The EP measure constructed from the items available from the EPRES scale in the II ECCTS questionnaire shows acceptable psychometric properties to approximate the epidemiological quantification of job insecurity in Central America.

OBJETIVO: Establecer las propiedades psicométricas de una medida de Precariedad Laboral (PL) en seis países centroamericanos de habla española (Costa Rica, El Salvador, Guatemala, Honduras, Nicaragua y Panamá) mediante un conjunto de ítems incluidos en la II Encuesta Centroamericana de Condiciones de Trabajo y Salud (II ECCTS) de 2018 que se correspondían con ítems de la Escala de Precariedad Laboral (EPRES). Método: A partir de una muestra de 3.782 personas asalariadas de 18 años o más, formales e informales, en la II ECCTS, se construyó una medida de PL de 10 ítems representando cuatro dimensiones: temporalidad, salario, derechos y ejercicio de derechos. RESULTADOS: La muestra estuvo compuesta en su mayoría por hombres, con contrato permanente, con antigüedad laboral de entre 2 a 5 años, un salario entre 301 a 500 dólares, que reportaban tener derechos laborales y ejercerlos. La estructura factorial no pudo ser comprobada. Sin embargo, nueve de los diez ítems arrojaron alta carga factorial en sus dimensiones correspondientes. Se observó una alta aceptabilidad de medida de PL y los coeficientes de Alpha de Cronbach de las cuatro dimensiones fueron >0,59 excepto para temporalidad (0,30). La confiabilidad de la escala fue de 0,68 y los patrones de PL en mujeres, jóvenes, temporales y países con menores ingresos fueron los esperados.   Conclusiones: La medida de PL construida a partir de ítems disponibles de la escala EPRES en el cuestionario de la II ECCTS evidencia propiedades psicométricas aceptables para aproximarnos a la cuantificación epidemiológica de la precariedad laboral en Centroamérica.

Association between informal employment and depressive symptoms in 11 cities in Latin America.

Background: Mental health is an important contributor to the global burden of disease, and depression is the most prevalent mental disorder in Latin America and the Caribbean (LAC). Informal jobs, often characterized by precarious working conditions, low wages, and limited employment benefits, are also highly prevalent in LAC and may be associated with poorer mental health. Our study tests the association between informal employment and major depressive symptoms in LAC cities. Methods: We used individual-level data collected by the Development Bank of Latin America via their "Encuesta CAF" (ECAF) 2016, a cross-sectional household survey of 11 LAC cities (N = 5430). Depressive symptoms were measured using the 10-item Center for Epidemiologic Studies Short Depression Scale with possible total score ranging from 0 to 30. Scores were dichotomized, with a score > ‾ 16 indicating the presence of major depressive symptoms. Informal employment was defined based on self-reported lack of contribution to the social security system. We used generalized estimating equation (GEE) log-binomial models to estimate the association between informal employment and depressive symptoms overall and by gender. Models were adjusted for age, education, and household characteristics. Results: Overall, individuals employed in informal jobs had a 27% higher prevalence of major depressive symptoms (Prevalence Ratio [PR]: 1.27; 95% Confidence Interval [CI]: 1.00, 1.62) compared to those in formal jobs. The prevalence of depressive symptoms among individuals with informal jobs was higher compared to those with formal jobs in both women (PR: 1.36, 95% CI: 1.06, 1.74) and men (PR: 1.22; 95% CI: 0.90, 1.65). Conclusions: Informal employment in LAC was associated with a higher prevalence of major depressive symptoms. It is important to develop policies aiming at reducing informal jobs and increasing universal social protection for informal workers.

The Relation Between Precarious Employment Arrangements and Social Precarity: Findings from the PREMIS Study in Stockholm, Sweden.

Precarious employment (PE) is a well-known social determinant of health and health inequalities. However, as most previous studies have focused on physical and mental well-being, less is known about the social-related outcomes (ie, social precarity) associated with precarious arrangements. This cross-sectional study aims to investigate whether PE is associated with social precarity in a working population of 401 nonstandard employed workers in Stockholm, Sweden (2016-2017). PE was assessed with the Swedish version of the Employment Precarious Scale (EPRES-Se) and analyzed in relation to social precarity related to working life (eg, task quality and job security) and living conditions (eg, restraint in social activities and financial constraints). We found positive adjusted associations between quartiles of EPRES-Se and social precarity related to working life (eg, being locked in an occupation [aPRq4:1.33 [1.10-1.61]]) and living conditions (eg, inability to participate in social activities because of work [aPRq4:1.27 [1.10-1.46]]). Our findings suggest that individuals in PE experience social precarity, stressing that PE may have negative effects on well-being. Further studies using multidimensional constructs of PE and larger samples should analyze these findings according to social and policy contexts in order to be able to inform policymakers.

Non-Standard Employment and Unemployment during the COVID-19 Crisis: Economic and Health Findings from a Six-Country Survey Study.

The COVID-19 crisis is a global event that has created and amplified social inequalities, including an already existing and steadily increasing problem of employment and income insecurity and erosion of workplace rights, affecting workers globally. The aim of this exploratory study was to review employment-related determinants of health and health protection during the pandemic, or more specifically, to examine several links between non-standard employment, unemployment, economic, health, and safety outcomes during the COVID-19 pandemic in Sweden, Belgium, Spain, Canada, the United States, and Chile, based on an online survey conducted from November 2020 to June 2021. The study focused on both non-standard workers and unemployed workers and examined worker outcomes in the context of current type and duration of employment arrangements, as well as employment transitions triggered by the COVID-19 crisis. The results suggest that COVID-19-related changes in non-standard worker employment arrangements, or unemployment, are related to changes in work hours, income, and benefits, as well as the self-reported prevalence of suffering from severe to extreme anxiety or depression. The results also suggest a link between worker type, duration of employment arrangements, or unemployment, and the ability to cover regular expenses during the pandemic. Additionally, the findings indicate that the type and duration of employment arrangements are related to the provision of personal protective equipment or other COVID-19 protection measures. This study provides additional evidence that workers in non-standard employment and the unemployed have experienced numerous and complex adverse effects of the pandemic and require additional protection through tailored pandemic responses and recovery strategies.

Employment precariousness in Spain: prevalence, social distribution, and population-attributable risk percent of poor mental health.

As a consequence of labor market flexibilization, nonstandard employment has expanded and standard employment has declined. In many cases, these transformations are best described as an evolution toward precarious employment, which is considered a major determinant of health and health inequalities. Using the Employment Precariousness Scale (EPRES), this study aims to determine the prevalence of precarious employment in the waged and salaried workforce in Spain, to describe its distribution across social groups defined by occupational class, gender, age, and immigrant status, and to estimate the proportion of cases of poor mental health potentially attributable to employment precariousness. Data are from the Psychosocial Work Environment Survey conducted in 2004-5 on a representative sample of the Spanish workforce. Findings indicate a high prevalence of employment precariousness, affecting nearly 6.5 million workers, with almost 900,000 of them exposed to high precariousness. These estimates are higher than the proportion of fixed-term employment reported in regular statistical sources but may today be an underestimation, given the current economic crisis. Additionally, a significant proportion of cases of poor mental health are potentially attributable to employment precariousness. Both the proportion of cases of poor mental health attributable to and the prevalence of employment precariousness were highly unequally distributed across the study sample, indicating that this may be a significant contributor to social inequalities in mental health.

Correction: The importance of using a multi-dimensional scale to capture the various impacts of precarious employment on health: Results from a national survey of Chilean workers.

[This corrects the article DOI: 10.1371/journal.pone.0238401.].

Effects of an urban regeneration program on related social determinants of health in Chile: A pre-post intervention study.

Urban regeneration programs, such as "Programa Quiero mi Barrio" (PQMB) that is carried out in neighborhoods with greater deprivation across Chile, can improve health and quality of life in socio-economically deprived neighborhoods. The aim of this study was to analyze the effects of this program on the physical, social, and safety environments of neighborhoods intervened between 2011 and 2018, according to gender and socioeconomic position. Four indices and six sub-indices were constructed to measure physical, social, and safety environments of the neighborhoods. We conducted a pre- and post-intervention analysis with 2095 people using linear models adjusted for repeated measurements. After the intervention, participants had an improved perception of physical, social, and safety environments, as well as the use of spaces, particularly among women and people with higher levels of education. Therefore, the PQMB program is a form of public policy that can improve the quality of life and health of people living in underprivileged areas.

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.

Life expectancy and mortality in 363 cities of Latin America.

The concept of a so-called urban advantage in health ignores the possibility of heterogeneity in health outcomes across cities. Using a harmonized dataset from the SALURBAL project, we describe variability and predictors of life expectancy and proportionate mortality in 363 cities across nine Latin American countries. Life expectancy differed substantially across cities within the same country. Cause-specific mortality also varied across cities, with some causes of death (unintentional and violent injuries and deaths) showing large variation within countries, whereas other causes of death (communicable, maternal, neonatal and nutritional, cancer, cardiovascular disease and other noncommunicable diseases) varied substantially between countries. In multivariable mixed models, higher levels of education, water access and sanitation and less overcrowding were associated with longer life expectancy, a relatively lower proportion of communicable, maternal, neonatal and nutritional deaths and a higher proportion of deaths from cancer, cardiovascular disease and other noncommunicable diseases. These results highlight considerable heterogeneity in life expectancy and causes of death across cities of Latin America, revealing modifiable factors that could be amenable to urban policies aimed toward improving urban health in Latin America and more generally in other urban environments.