Factors influencing dietary inequalities among adolescents in Madrid and Bilbao: a qualitative research project.

OBJECTIVE: To describe the design and methodology of a qualitative study to explore the main factors influencing dietary inequalities in adolescents in Madrid and Bilbao, Spain. METHOD: The study area included six neighborhoods (three in each city) of different socioeconomic status (SES): low, medium, and high. We sampled 12 secondary schools (six in each city: two per socioeconomic level). Our methodology comprised: 1) developing an ad hoc index to classify all neighborhoods according to their SES; 2) selecting the study area and sample; 3) conducting semi-structured interviews (n=36) and focus groups (n=24). Grounded theory and phenomenological analysis will be employed in data analysis. Initially, we found factors influencing in adolescents' diet such as gender, family environment, and SES. CONCLUSIONS: Systematizing the selection of neighborhoods and secondary schools, along with using appropriate methods, could serve as a foundation for future studies on health inequalities among adolescents.

Correlates of eating behaviors in adolescence: a systematic review of qualitative studies.

CONTEXT: Nutrition plays a critical role in adolescence. Adolescents are vulnerable to the impact of different factors that distance them from healthy habits, increasing their risk of chronic diseases in adulthood. Qualitative methodologies allow for a better understanding of these factors. OBJECTIVE: This systematic review aims to consolidate qualitative research evidence from the past 10 years to analyze the facilitators and barriers influencing adolescents' eating behaviors. DATA SOURCES: Databases searched for relevant studies were Scopus, Medline/PubMed, PsycINFO, and Web of Science. DATA EXTRACTION: A total of 4176 records were identified. The authors used the GRADE-CERQual (Confidence in Evidence from Reviews of Qualitative Research) quality-assessment tool. RESULTS: Fifty articles with qualitative or mixed methodologies were finally included. The most applied techniques were focus groups and semi-structured interviews. The factors influencing adolescents' diets were classified into 4 dimensions: individual, social, community, and macrosystem factors. The most influential were the following-(1) at the individual level: gender (facilitator or barrier), taste and appearance of food (barrier), and lack of time (barrier); (2) at the social level: parents' and caregivers' influence (facilitator or barrier), peer group influence (barrier), and socioeconomic position (barrier); (3) at the community level: school food environment (facilitator or barrier), neighborhood food environment (barrier), household food environment (facilitator or barrier), food insecurity (barrier), and availability and affordability of ultra-processed foods (barrier); and (4) at the macrosystem level: digital tools (facilitator or barrier). CONCLUSIONS: This systematic review identified several facilitators and barriers influencing eating behaviors among adolescents. Qualitative research provides a rich source of knowledge to inform interventions aimed at improving adolescents' diets. Qualitative research is very useful for collecting researches that help to implement intervention programs that improve adolescent nutrition.

Who benefits from green spaces? Surrounding greenness and incidence of cardiovascular disease in a population-based electronic medical records cohort in Madrid.

The objective was to study the association between surrounding greenness and the incidence of cardiovascular diseases (CVD) with a four years follow-up in almost half a million high CVD-risk women and men, as well as its differential effect by area-level deprivation in Madrid. We analyzed 2015-2018 primary healthcare electronic medical records for 437,513 high CVD risk individuals representing more than 95% of the population of that age range residing in Madrid. The outcome variable was any cardiovascular event. We measured surrounding residence greenness at 200 m, 300 m, 500 m, and 1000 m through the Normalized Difference Vegetation Index (NDVI). We assessed socioeconomic deprivation through a census-based deprivation index. We estimated the 4-year relative risk of CVD by an increase in 0.1 units of NDVI and then stratified the models by quintiles of deprivation (Q5 the most deprived). We found that for every increase in 0.1 units of NDVI at 1000 m there was a 16% decrease in CVD risk (RR = 0.84 95% CI 0.75-0.94). CVD risk for the remaining distance exposures (at 200 m, 300 m, and 500 m) were none statistically significant. In general, the protective effect of green spaces was present in medium-deprivation areas and males, but the associations were inconsistent across deprivation levels. This study highlights the relevance of evaluating the interaction between physical and social urban components to further understand possible population prevention approaches for cardiovascular diseases. Future studies should focus on the mechanisms of context-specific interactions between social inequalities and green spaces' effects on health.

Trends and determinants of social inequities in cardiovascular risk factors in Spain: a mixed-methods study.

This sequential mixed-methods study aims to: 1) assess spatial and temporal trends in cardiovascular risk factors by socioeconomic position from 2001 to 2020 in Spain; 2) explore public health professionals' perspectives regarding interventions that might have impacted these inequities; and 3) analyze determinants on social inequities in cardiovascular risk factors. First, we will measure the change in absolute and relative social inequities in eight cardiovascular risk factors through time trend analysis using repeated cross-sectional data from both National and European Health Surveys for Spain from 2001 to 2020. Second, we will interview key informants -both at the regional and national level-, to contextualize data obtained in phase 1 and capture the content and variation of policies across regions. Third, we will use econometric methods to analyze how these identified interventions have impacted these social inequities within and across regions.

Time-Varying Food Retail and Incident Disease in the Cardiovascular Health Study.

INTRODUCTION: Natural experiments can strengthen evidence linking neighborhood food retail presence to dietary intake patterns and cardiometabolic health outcomes, yet sample size and follow-up duration are typically not extensive. To complement natural experiment evidence, longitudinal data were used to estimate the impacts of neighborhood food retail presence on incident disease. METHODS: The Cardiovascular Health Study recruited adults aged 65+ years in 1989-1993. Analyses conducted in 2021-2022 included those in good baseline health, with addresses updated annually through the year of death (restricted to 91% who died during >2 decades of cohort follow-up). Baseline and annually updated presence of 2 combined food retail categories (supermarkets/produce markets and convenience/snack focused) was characterized using establishment-level data for 1-km and 5-km Euclidean buffers. Cox proportional hazards models estimated associations with time to each incident outcome (cardiovascular disease, diabetes), adjusting for individual and area-based confounders. RESULTS: Among 2,939 participants, 36% with baseline supermarket/produce market presence within 1 km had excess incident cardiovascular disease (hazard ratio=1.12; 95% CI=1.01, 1.24); the association was attenuated and no longer statistically significant after adjustment for sociodemographic characteristics. Adjusted associations were robustly null for time-varying supermarket/produce market or convenience/fast food retail presence across analyses with outcomes of cardiovascular disease or diabetes incidence. CONCLUSIONS: Food environment changes continue to be studied to provide an evidence base for policy decisions, and null findings in this longitudinal analysis add literature that casts doubt on the sufficiency of strategies targeting food retail presence alone of an elderly cohort for curtailing incident events of clinical importance.

Diet Quality Changes by Educational Level among Adults in Spain from 2017 to 2021.

Despite increasing attention on addressing socioeconomic disparities in diet quality, longitudinal studies are scarce. Furthermore, the effects of the COVID-19 pandemic on diet-related outcomes are yet to be fully understood. We examined changes in diet quality by educational level among adults in Madrid, Spain. We used data from recruitment (in 2017) and from 2021. At baseline, our sample included 1358 adults aged 40-75 years who were free of cardiovascular disease and completed a validated diet quality screener. Of them, 931 answered the survey in the follow-up visit in 2021. We used participants' diet quality index scores (range: 18-54; higher scores indicate better diet quality) as the dependent variable. As our independent variable, we assessed participants' educational levels (low, medium, and high). We fitted a multinomial regression using the categories of educational level as the main predictor, adjusting for age, sex, country of origin, and household composition. During the study period, 78.0% of participants sustained their diet quality, 11.6% improved it, and 10.4% moved away from a healthier dietary pattern. In descriptive analyses, we observed an increase in diet quality among less-educated females. Unadjusted multinomial models showed that a lower educational level predicted both increases and decreases in diet quality over the period. Even though the median diet quality scores did not change significantly, we observed heterogeneous changes over the four years. Variability within diet, with some improving and some worsening, seems to have increased among participants with lower educational levels. Future studies should look at the determinants of change in these population subgroups.

Trends and determinants of social inequities in cardiovascular risk factors in Spain: a mixed-methods study / Tendencias y determinantes de las inequidades sociales en el riesgo cardiovascular en España: estudio de métodos mixtos

This sequential mixed-methods study aims to: 1) assess spatial and temporal trends in cardiovascular risk factors by socioeconomic position from 2001 to 2020 in Spain; 2) explore public health professionals’ perspectives regarding interventions that might have impacted these inequities; and 3) analyze determinants on social inequities in cardiovascular risk factors. First, we will measure the change in absolute and relative social inequities in eight cardiovascular risk factors through time trend analysis using repeated cross-sectional data from both National and European Health Surveys for Spain from 2001 to 2020. Second, we will interview key informants —both at the regional and national level—, to contextualize data obtained in phase 1 and capture the content and variation of policies across regions. Third, we will use econometric methods to analyze how these identified interventions have impacted these social inequities within and across regions. (AU)

Este estudio tiene por objetivos: 1) evaluar las tendencias espacio-temporales de los factores de riesgo cardiovascular en España, por posición socioeconómica, entre 2001 y 2020; 2) explorar las perspectivas de profesionales salubristas con respecto a las intervenciones que pueden influir en estas inequidades; 3) analizar los determinantes de las inequidades sociales en los factores de riesgo cardiovascular. Primero se medirá el cambio en las desigualdades, en términos absolutos y relativos, según ocho factores de riesgo mediante un análisis de tendencias temporales y datos de las encuestas nacionales y europeas de salud para España entre 2001 y 2020. Después se entrevistará a informantes clave, en los ámbitos de comunidad autónoma y nacional, para contextualizar los datos obtenidos en la primera fase y explorar la variabilidad entre comunidades autónomas. Por último, se analizará mediante métodos econométricos cómo influyen dichas intervenciones en las desigualdades sociales entre comunidades autónomas. (AU)

Socio-Spatial Segregation of Unhealthy Food Environments across Public Schools in Santiago, Chile.

Santiago, Chile is a very segregated city, with higher childhood obesity rates observed in vulnerable areas. We compared the counts and proximity of unhealthy food outlets (UFOs) around a 400 m buffer of 443 public schools (municipal and subsidized) located in socioeconomically diverse neighborhoods in 14 municipalities of Santiago. This was a cross-sectional study in which the socioeconomic status (SES) of the population living inside the buffer was classified as middle-high, middle, and low. We used the Kruskal-Wallis test for comparisons of density and proximity between type of school, SES, and population density. We used a negative binomial model (unadjusted and adjusted by population density) to determine the expected change in counts of UFOs by SES, which was compared to the reference (middle-high). Low SES neighborhoods had significantly more counts of UFOs, and these were located much closer to schools. Low and middle SES neighborhoods had an 88% and 48% higher relative risk of having UFOs compared to middle-high SES areas; (IRR = 1.88; 95% CI 1.59-2.23) and (IRR = 1.48; 95% CI 1.20-1.82), respectively. A socio-spatial segregation of UFOs associated with childhood obesity across public schools was observed in Santiago.

Factors influencing dietary inequalities among adolescents in Madrid and Bilbao: a qualitative research project / Factores que influyen en las desigualdades alimentarias en Madrid y Bilbao: un proyecto de estudio cualitativo

Objective: To describe the design and methodology of a qualitative study to explore the main factorsinfluencing dietary inequalities in adolescents in Madrid and Bilbao, Spain.Method: The study area included six neighborhoods (three in each city) of different socioeconomic status(SES): low, medium, and high. We sampled 12 secondary schools (six in each city: two per socioeconomiclevel). Our methodology comprised: 1) developing an ad hoc index to classify all neighborhoods accordingto their SES; 2) selecting the study area and sample; 3) conducting semi-structured interviews (n = 36)and focus groups (n = 24). Grounded theory and phenomenological analysis will be employed in dataanalysis. Initially, we found factors influencing in adolescents’ diet such as gender, family environment,and SES.Conclusions: Systematizing the selection of neighborhoods and secondary schools, along with usingappropriate methods, could serve as a foundation for future studies on health inequalities among adolescents.(AU)

Objetivo: Describir el dise ˜no y la metodología de un estudio cualitativo que explora los factores principalesque influyen en la desigualdad alimentaria en los adolescentes en Madrid y Bilbao, Espa ˜na.Método: Se seleccionaron seis barrios (tres en cada ciudad) de diferente estatus socioeconómico (ESE):bajo, medio y alto. Obtuvimos una muestra de 12 institutos (seis en cada ciudad y dos por nivel socioe-conómico). La metodología consistió en: 1) desarrollo de un índice ad hoc para clasificar los barrios segúnsu ESE; 2) selección de las áreas de estudio y de institutos; 3) realización de entrevistas semiestructuradas(n = 36) y grupos de discusión (n = 24). En el análisis se utilizarán la teoría fundamentada y el análisisfenomenológico. Inicialmente, encontramos factores que influyen en la alimentación de los adolescentes,como el género, el entorno familiar y el ESE.Conclusiones: La sistematización en la selección de barrios e institutos, y la utilización de metodologíaadecuada, pueden servir como base para futuros estudios sobre las desigualdades de salud en adolescentes.(AU)

Food availability and affordability in a Mediterranean urban context: associations by store type and area-level socio-economic status.

OBJECTIVE: Although food environments have been highlighted as potentially effective targets to improve population diets, evidence on Mediterranean food environments is lacking. We examined differences in food availability and affordability in Madrid (Spain) by store type and area-level socio-economic status (SES). DESIGN: Cross-sectional study. Trained researchers conducted food store audits using the validated Nutrition Environment Measures Survey in Stores for Mediterranean contexts (NEMS-S-MED) tool to measure the availability and price of twelve food groups (specific foods = 35). We computed NEMS-S-MED scores and summarised price data with a Relative Price Index (RPI, comparing prices across stores) and an Affordability Index (normalising prices by area-level income). We compared the availability and affordability of 'healthier-less healthy' food pairs, scores between food store types (supermarkets, specialised, convenience stores and others) and area-level SES using ANOVA and multi-level regression models. SETTING: City of Madrid. 2016 and 2019 to cover a representative sample. PARTICIPANTS: Food stores within a socio-economically diverse sample of sixty-three census tracts (n 151). RESULTS: Supermarkets had higher food availability (37·5/49 NEMS-S-MED points), compared to convenience stores (13·5/49) and specialised stores (8/49). Supermarkets offered lower prices (RPI: 0·83) than specialised stores (RPI: 0·97) and convenience stores (RPI: 2·06). Both 'healthy' and 'less healthy' items were more available in supermarkets. We found no differences in food availability or price by area-level SES, but affordability was higher in higher-income areas. CONCLUSIONS: Supermarkets offered higher food availability and affordability for healthy and less healthy food items. Promoting healthy food availability through supermarkets and specialised stores and/or limiting access to convenience stores are promising policy options to achieve a healthier food environment.

Influence of home/school environments on children's obesity, diet, and physical activity: the SUECO study protocol / Impacto del entorno residencial/escolar en la obesidad, la dieta y la actividad física en población infantil: protocolo del estudio SUECO

Objective: The SUECO study examines the relationship between urban obesogenic environments and health outcomes among school-age children in the city of Madrid, Spain. We will study how features of the urban environment (related to the food- and the physical activity environment) associate with children's anthropometrics, eating habits, and physical activity levels. Method: We describe the study protocol of this multilevel study in a representative sample of school-age children in the city of Madrid (2017; n=5,961 children ages 3-12). Main outcome variables include anthropometrics (body mass index, waist circumference, and body fat), healthy and unhealthy consumption measures, and physical activity measures. The primary explanatory variables are grouped into food environment (e.g., unhealthy food retailers' density) and physical activity environment (e.g., walkability, physical activity opportunities) variable categories. Multilevel models will be used to calculate the associations between each indicator and obesity and physical inactivity. (AU)

Objetivo: El estudio SUECO evaluará la relación entre el entorno urbano obesogénico y los resultados en salud en la población infantil escolarizada en Madrid. El estudio explorará cómo influyen las características del entorno urbano (relacionadas con la alimentación y con la actividad física) en las variables antropométricas, los hábitos alimentarios y la actividad física. Método: Se presenta el protocolo de este estudio multinivel, realizado con una muestra representativa de población infantil escolarizada en la ciudad de Madrid (2017; n=5961 escolares de 3 a 12 años). Las principales variables de resultado incluyen antropometría (índice de masa corporal, circunferencia de cintura y porcentaje de grasa corporal), hábitos alimentarios (saludables y no saludables) y actividad física. Las principales variables independientes son contextuales (del entorno alimentario y del entorno de actividad física). Se utilizarán modelos de regresión multinivel para evaluar las asociaciones entre cada indicador contextual, la obesidad y la inactividad física. (AU)

Retail Food Environment around Schools in Barcelona by Neighborhood Socioeconomic Status: Implications for Local Food Policy.

Childhood obesity is a relevant public health problem. The school food environment has been identified as an important factor for promoting healthy eating behaviors. This study assessed the availability of and proximity to unhealthy food stores around schools (n = 22) in the city of Barcelona and its association with neighborhood socioeconomic status (NSES). We conducted this cross-sectional study between 2019 and 2020. First, we identified all food retailers (n = 153) within a 400-m buffer around each school and identified those selling unhealthy food products. Then, we used Poison regression models to measure the association between NSES and the healthy food availability index (HFAI), adjusting for population density and distance. A total of 95% of the food establishments studied were classified as unhealthy (n = 146). In all, 90% of schools that had, at least, two unhealthy retailers in their proximity. There were significant differences in the mean distance to unhealthy establishments according to neighborhood SES and population density (p < 0.05). We found a positive association between schools located in higher SES neighborhoods and a higher availability and affordability of healthy food products (IIR = 1.67, 95% CI = 1.45−1.91 p = 0.000). We found strong social inequalities in the supply of healthy foods in Barcelona. Local food policy interventions addressing retail food environment around schools should consider socioeconomic inequalities.

Influence of home/school environments on children's obesity, diet, and physical activity: the SUECO study protocol.

OBJECTIVE: The SUECO study examines the relationship between urban obesogenic environments and health outcomes among school-age children in the city of Madrid, Spain. We will study how features of the urban environment (related to the food- and the physical activity environment) associate with children's anthropometrics, eating habits, and physical activity levels. METHOD: We describe the study protocol of this multilevel study in a representative sample of school-age children in the city of Madrid (2017; n=5,961 children ages 3-12). Main outcome variables include anthropometrics (body mass index, waist circumference, and body fat), healthy and unhealthy consumption measures, and physical activity measures. The primary explanatory variables are grouped into food environment (e.g., unhealthy food retailers' density) and physical activity environment (e.g., walkability, physical activity opportunities) variable categories. Multilevel models will be used to calculate the associations between each indicator and obesity and physical inactivity.

Residents' Insights on Their Local Food Environment and Dietary Behaviors: A Cross-City Comparison Using Photovoice in Spain.

Perceptions of local food environments and the ability of citizens to engage in participatory research may vary, even if participants share similar cultural and socioeconomic contexts. In this study, we aimed to describe participants' narratives about their local food environment in two cities in Spain. We used the participatory methodology of Photovoice to engage participants in Madrid (n = 24) and Bilbao (n = 17) who took and discussed photographs about their local food environment (Madrid; n = 163 and Bilbao; n = 70). Common themes emerged across both cities (food insecurity, poverty, use of public spaces for eating and social gathering, cultural diversity and overconsumption of unhealthy foods); however, in Bilbao citizens perceived that there was sufficient availability of healthy foods despite that living in impoverished communities. Photovoice was a useful tool to engage participating citizens to improve their local food environments in both cities. This new approach allowed for a photovoice cross-city comparison that could be useful to fully understand the complexity and diversity of residents' perceptions regardless of their place of residence.

Active use and perceptions of parks as urban assets for physical activity: A mixed-methods study.

Parks are potential key urban assets for improved population health; however, their use is not equal among all social groups. Individual and contextual factors could influence residents' perceptions of parks and how they interact with and, eventually, benefit from them. The use of complementary methodologies provides a deeper understanding of the relationship between park use, physical activity (PA), and residents' perceptions. Thus, we designed a mixed-methods study to analyze differences in park use and PA, and the perceptions of parks as urban assets for PA. We selected six parks from three neighborhoods in Madrid (Spain) with different neighborhood socioeconomic status (NSES) for systematic social observation. We registered park users by age, PA level (low, medium, and high), gender, and NSES using the System for Observing Play and Recreation in Communities (SOPARC) audit tool adapted for iOS software (iSOPARC). We also conducted 37 semi-structured interviews and 29 focus groups to analyze residents' perceptions of parks as urban assets for PA in the same neighborhoods. We adopted a convergent-parallel design to analyze both quantitative and qualitative data, and to describe the convergence and divergence areas between them. Parks within the high-NSES were more visited, showing a higher proportion of people performing high PA (11.9%) as compared to residents of the middle (9.3%) and low-NSES (3.2%). Female visitors showed lower PA levels compared to men, especially for parks within high-NSES. The following issues were reported as influence urban park use and perceptions: park maintenance and area perception, works constraints, insecurity and crime, differential perceptions by age, and the availability of organized activities in the parks. Residents from high-NSES reported fewer barriers to park use compared to residents from the other areas, who reported limitations such as less leisure time due to job constrains or perceived insecurity in parks. Senior participants reported that having parks with organized activities and a design oriented towards different age-groups are valuable. Our study shows consistency between the fewer and less intense use of parks registered in the middle and low-NSES neighborhoods, and the more barriers for PA reported in this areas during the qualitative analysis. Mixed-methods provided an insight of the potential causes leading to the differences in park use and PA within cities, which is essential in terms of environmental justice and health equity. Thus, a mixed-methods comprehensive approach to public health problems can help designing public policies addressing relevant factors related to urban health inequities.

Social inequities in cardiovascular risk factors in women and men by autonomous regions in Spain / Desigualdades sociales en factores de riesgo cardiovascular en hombres y mujeres por comunidad autónoma en España

Objective: To describe social inequities in cardiovascular risk factors in women and men by autonomous regions in Spain. Method: We used data from 20,406 individuals aged 18 or older from the 2017 Spanish National Health Survey. We measured socioeconomic position using occupational social class and used data on selfreported cardiovascular risk factors: high cholesterol, diabetes, hypertension, obesity, and smoking. We estimated the relative risk of inequality using Poisson regression models. Analyses were stratified by men and women and by region (autonomous communities). Results: Overall, the relative risk of inequality was 1.02, 1.13, 1.06, 1.17 and 1.09 for high cholesterol, diabetes, hypertension, obesity, and current smoking, respectively. Ocuupational social class inequities in diabetes, hypertension, and obesity was stronger for women. Results showed a large regional heterogeneity in these inequities; some regions (e.g. Asturias and Balearic Islands) presented wider social inequities in cardiovascular risk factors than others (e.g. Galicia, Navarra or Murcia). Conclusion: In Spain, we found marked social inequities in the prevalence of cardiovascular risk factors, with wide regional and women/men heterogeneity in these inequities. Education, social, economic and health policies at the regional level could reduce health inequities in cardiovascular risk factors and, thus, prevent cardiovascular disease. (AU)

Objetivo: Describir las desigualdades sociales en factores de riesgo cardiovascular en hombres y mujeres por comunidad autónoma en España. Método: Los sujetos de estudio fueron 20.406 personas de 18 años o más que participaron en la Encuesta Nacional de Salud de 2017. Como medida de posición socioeconómica se utilizó la clase social ocupacional. Se tomaron medidas autorreportadas de factores de riesgo cardiovascular: hipercolesterolemia, diabetes, hipertensión, obesidad y tabaquismo. Se estimó el índice relativo de desigualdad usando modelos de regresión de Poisson. Los análisis fueron estratificados por sexo y por comunidad autónoma. Resultados: El índice relativo de desigualdad fue de 1,02, 1,13, 1,06, 1,17 y 1,09 para hipercolesterolemia, diabetes, hipertensión, obesidad y tabaquismo, respectivamente. Las desigualdades por clase social ocupacional en diabetes, hipertensión y obesidad fueron más altas en las mujeres. Se observó una alta heterogeneidad en las desigualdades; algunas comunidades autónomas (p. ej., Asturias e Islas Baleares) presentan más desigualdades en factores de riesgo cardiovascular que otras (p. ej., Galicia, Navarra y Murcia). Conclusiones: En España encontramos marcadas desigualdades sociales en la prevalencia de factores de riesgo cardiovascular, con gran heterogeneidad por mujeres, hombres y comunidad autónoma. Las políticas educativas, sociales, económicas y de salud en las comunidades autónomas podrían reducir las desigualdades sociales en factores de riesgo cardiovascular y, por tanto, prevenir enfermedades cardiovasculares. (AU)

Urban environment and dietary behaviours as perceived by residents living in socioeconomically diverse neighbourhoods: A qualitative study in a Mediterranean context.

Scholars have determined that low socioeconomic status (SES) is associated with unhealthy dietary behaviours and that local food environments shape food inequality. Less is known about how residents' perceptions of their food environment affect their dietary behaviours. We conducted 37 semistructured interviews and 29 focus groups in three socioeconomically distinct neighbourhoods in Madrid. We identified the following main categories related to social and physical food environments: (a) perceptions of healthy and unhealthy dietary behaviours, (b) children's relationships with food, (c) precariousness and (d) residential food retailer types. Older adults were perceived as healthier consumers, whereas younger people were identified as fast-food consumers. In the low- and middle-SES neighbourhoods, residents saw home-cooked legume-based stews as healthy food. In the high-SES neighbourhood, television cooking programs were highlighted as a positive influence. In the low- and middle-SES neighbourhoods, grandparents played an essential role in the transmission of healthy eating habits to their grandchildren. In the high-SES neighbourhood, children's diets at home were determined by school menus. In the low- and middle-SES neighbourhoods, participants talked about a black market where food could be purchased. Food retailers with low-quality foods were also highlighted. In all neighbourhoods, residents missed traditional food stores, and in the low- and middle-SES neighbourhoods, immigrant-run food stores were not well accepted. Our study presents the concepts shaping how neighbourhood SES differences affect dietary behaviours according to residents of a large Mediterranean city.

Social inequities in cardiovascular risk factors in women and men by autonomous regions in Spain.

OBJECTIVE: To describe social inequities in cardiovascular risk factors in women and men by autonomous regions in Spain. METHOD: We used data from 20,406 individuals aged 18 or older from the 2017 Spanish National Health Survey. We measured socioeconomic position using occupational social class and used data on self-reported cardiovascular risk factors: high cholesterol, diabetes, hypertension, obesity, and smoking. We estimated the relative risk of inequality using Poisson regression models. Analyses were stratified by men and women and by region (autonomous communities). RESULTS: Overall, the relative risk of inequality was 1.02, 1.13, 1.06, 1.17 and 1.09 for high cholesterol, diabetes, hypertension, obesity, and current smoking, respectively. Ocuupational social class inequities in diabetes, hypertension, and obesity was stronger for women. Results showed a large regional heterogeneity in these inequities; some regions (e.g. Asturias and Balearic Islands) presented wider social inequities in cardiovascular risk factors than others (e.g. Galicia, Navarra or Murcia). CONCLUSION: In Spain, we found marked social inequities in the prevalence of cardiovascular risk factors, with wide regional and women/men heterogeneity in these inequities. Education, social, economic and health policies at the regional level could reduce health inequities in cardiovascular risk factors and, thus, prevent cardiovascular disease.