Mediterranean diet and diabetes risk in a cohort study of individuals with prediabetes: propensity score analyses.

AIMS: Randomized controlled trials have demonstrated the efficacy of several dietary patterns plus physical activity to reduce diabetes onset in people with prediabetes. However, there is no evidence on the effect from the Mediterranean diet on the progression from prediabetes to diabetes. We aimed to evaluate the effect from high adherence to Mediterranean diet on the risk of diabetes in individuals with prediabetes. METHODS: Prospective cohort study in Spanish Primary Care setting. A total of 1184 participants with prediabetes based on levels of fasting plasma glucose and/or glycated hemoglobin were followed up for a mean of 4.2 years. A total of 210 participants developed diabetes type 2 during the follow up. Hazard ratios of diabetes onset were estimated by Cox proportional regression models associated to high versus low/medium adherence to Mediterranean diet. Different propensity score methods were used to control for potential confounders. RESULTS: Incidence rate of diabetes in participants with high versus low/medium adherence to Mediterranean diet was 2.9 versus 4.8 per 100 persons-years. The hazard ratios adjusted for propensity score and by inverse probability weighting (IPW) had identical magnitude: 0.63 (95% confidence interval, 0.43-0.93). The hazard ratio in the adjusted model using propensity score matching 1:2 was 0.56 (95% confidence interval, 0.37-0.84). CONCLUSIONS: These propensity score analyses suggest that high adherence to Mediterranean diet reduces diabetes risk in people with prediabetes.

Sports facilities, socio-economic context and overweight among the childhood population in two southern European cities: a cross sectional study.

BACKGROUND: To evaluate relationship between socio-economic environment and overweight in Madrid and Barcelona, adjusting for possible confounding factors. METHODS: We obtained three indicators which reflected socio-economic context, namely, unemployment rate, percentage of population with tertiary education, and percentage with a second home. The design is a cross sectional study. The association with overweight was estimated using odds ratios by multilevel logistic regression. The statistical analysis, data synthesis, or model creation was performed from the 2017. In all, 707 children from 21 districts of Madrid and 474 children from 10 districts of Barcelona were analysed. RESULTS: In Madrid, standardised ORs for personal and family characteristics were 1.17, 1.53 and 1.57 by reference to unemployment rate and percentages of population with a university education and second home. After adjustment, only the OR obtained with unemployment rate decreased, specifically by 58%. In Barcelona, the following ORs were obtained: 1.80 with unemployment rate; 1.80 with population having a university education; and 1.86 with population having a second home. After being standardised, these ORs decreased by 14% in the case of unemployment rate, 10% in the case of population with a university education, and 9% in the case of population with a second home. CONCLUSIONS: Overweight displayed a risk gradient in Madrid and Barcelona alike. This risk of overweight is not accounted for by physical inactivity and could, in part, be due to the availability of sports facilities.

Socioeconomic position and health services use in Germany and Spain during the Great Recession.

OBJECTIVE: The relationship of socioeconomic position with the use of health services may have changed with the emergence of the economic crisis. This study shows that relationship before and during the economic crisis, in Germany and in Spain. METHODS: Data from the 2006 and 2011 Socio-Economic Panel carried out in Germany, and from the 2006 and 2011 National Health Surveys carried out in Spain were used. The health services investigated were physician consultations and hospitalization. The measures of socioeconomic position used were education and household income. The magnitude of the relationship between socioeconomic position and the use of each health services was estimated by calculating the percentage ratio by binary regression. RESULTS: In Germany, in both periods, after adjusting for age, sex, type of health insurance and need for care, subjects belonging to the lower educational categories had a lower frequency of physician consultations, while those belonging to the lower income categories had a higher frequency of hospitalization. In the model comparing the two lower socioeconomic categories to the two higher categories, the percentage ratio for physician consultation by education was 0.97 (95%CI 0.96-0.98) in 2006 and 0.96 (95%CI 0.95-0.97) in 2011, and the percentage ratio for hospitalization by income was 1.14 (95%CI 1.05-1.25) in 2006 and 1.12 (95%CI 1.03-1.21) in 2011. In Spain, no significant socioeconomic differences were observed in either period in the frequency of use of these health services in the fully adjusted model. CONCLUSION: The results suggest that the economic crisis did not alter accessibility to the health system in either country, given that the socioeconomic pattern in the use of these health services was similar before and during the crisis in both countries.

Consejo y prevención a pacientes mayores en hospitales y residencias geriátricas en España / Counseling and preventive action in elderly population in hospitals and residences in Spain

OBJETIVOS: Conocer el perfil sociosanitario de los pacientes mayores atendidos en consultas; conocer las acciones preventivas que se llevan a cabo, de forma rutinaria, en hospitales, residencias geriátricas y otros centros asistenciales en España. DISEÑO: Estudio descriptivo transversal, basado en un cuestionario a médicos que atienden a población mayor de 65 años en España (2013). Emplazamiento: Centros de diferentes comunidades autónomas en España. PARTICIPANTES: Un total de 420 médicos de hospitales, residencias y otros centros. Se obtuvieron datos de 840 consultas a pacientes geriátricos. MEDICIONES PRINCIPALES: Variables principales de RESULTADOS: dependencia, comorbilidad, motivo de consulta, actuación en consulta y recomendación de estilos de vida saludable. Factor asociado, tipo de institución en la que se atendió al paciente. Análisis de prevalencias y diferencias con Chi-cuadrado. RESULTADOS: El 66,7% presentaban dependencia, siendo mayor entre las mujeres: 68,9% vs 62,4% (p = 0,055). El 88,6% de mujeres atendidas con 85 o más años presentaban comorbilidad, mientras que en hombres de ese mismo grupo de edad eran un 79,8%. Solo un 6,6% de pacientes con comorbilidad recibieron recomendaciones saludables durante la consulta. El 79,6% de pacientes atendidos en hospitales recibieron recomendaciones de estilo de vida saludable, mientras que en las residencias geriátricas las recibieron el 59,62% de los pacientes (p < 0,001). CONCLUSIONES: Se detecta una escasa acción preventiva y de promoción de la salud hacia las personas mayores, con diferencias entre hospitales y residencias geriátricas. Parece necesario incentivar la actitud promotora de salud y las intervenciones preventivas en la práctica clínica gerontológica

OBJECTIVE: To establish the profile of elderly patients, and to assess current preventive actions in hospitals, geriatric residences, and different health-care centres in Spain. DESIGN: Cross-sectional descriptive study, based on a questionnaire to be answered by doctors who treat the elderly population in Spain (2013). SETTING: Health-care centres from different regions of Spain. PARTICIPANTS: A total of 420 practitioners from hospitals, residences and other community centres, with data from 840 geriatric clinics. MAIN MEASUREMENTS: Main outcome variables are: dependence, reason for assistance, comorbidity, professional consultation, and life style recommendations. Association factor, type of institution where patients have been attended. Analysis of prevalence and association using Chi-squared test. Outcomes: Two-thirds (66.7%) of the study population were shown to be dependent, with a higher percentage among women than men: 68.9% vs.62.4% (P = .055). It was also found that among the population aged 85 or more, 88.6% of the women and 85.2% of the men suffered comorbidity. In spite of these results, only 6.6% of the patients suffering comorbidity received additional advice concerning healthy-lifestyle. A large majority (79.6%) of the patients treated in hospitals received advice concerning healthy lifestyle, while 59.62% of those treated in nursing homes received it (P < .001). CONCLUSIONS: It was observed that there is a lack of preventive action related to health promotion among the elderly, with differences between hospitals and geriatric residences. This suggests that it is time to put forward new specialised programs addressed to health professionals, in order to reinforce health promotion attitudes and preventive interventions in gerontology clinical practice

[Counseling and preventive action in elderly population in hospitals and residences in Spain]. / Consejo y prevención a pacientes mayores en hospitales y residencias geriátricas en España.

OBJECTIVE: To establish the profile of elderly patients, and to assess current preventive actions in hospitals, geriatric residences, and different health-care centres in Spain. DESIGN: Cross-sectional descriptive study, based on a questionnaire to be answered by doctors who treat the elderly population in Spain (2013). SETTING: Health-care centres from different regions of Spain. PARTICIPANTS: A total of 420 practitioners from hospitals, residences and other community centres, with data from 840 geriatric clinics. MAIN MEASUREMENTS: Main outcome variables are: dependence, reason for assistance, comorbidity, professional consultation, and life style recommendations. Association factor, type of institution where patients have been attended. Analysis of prevalence and association using Chi-squared test. OUTCOMES: Two-thirds (66.7%) of the study population were shown to be dependent, with a higher percentage among women than men: 68.9% vs. 62.4% (P=.055). It was also found that among the population aged 85 or more, 88.6% of the women and 85.2% of the men suffered comorbidity. In spite of these results, only 6.6% of the patients suffering comorbidity received additional advice concerning healthy-lifestyle. A large majority (79.6%) of the patients treated in hospitals received advice concerning healthy lifestyle, while 59.62% of those treated in nursing homes received it (P<.001). CONCLUSIONS: It was observed that there is a lack of preventive action related to health promotion among the elderly, with differences between hospitals and geriatric residences. This suggests that it is time to put forward new specialised programs addressed to health professionals, in order to reinforce health promotion attitudes and preventive interventions in gerontology clinical practice.

Socio-economic environment, area facilities and obesity and physical inactivity among children.

BACKGROUND: To evaluate whether the relationship between socio-economic environment and obesity and physical inactivity in children can be explained by household socio-economic position and area facilities. METHODS: Two indicators of the socio-economic context of neighbourhood of residence based on wealth and deprivation were estimated in a sample of 727 children and adolescents residents in Madrid (Spain). Multilevel logit models were used to calculate the relationship between each indicator and obesity and physical inactivity. RESULTS: After adjusting for household socio-economic position, obesity prevalence was 3.79 times higher among subjects living in deprived areas than among those living in non-deprived areas (CI: 1.95-7.34), and 2.38 higher among subjects living in less wealthy areas than in those living in wealthier areas (CI: 0.85-6.65). Adjustment for the availability of retail shops in subjects' neighbourhood of residence failed to change the magnitude of the association. Neither neighbourhood socio-economic context nor availability of sports facilities was related to physical inactivity. CONCLUSION: In the city of Madrid, socio-economic context of neighbourhood of residence shows an inverse relationship with obesity but not with physical inactivity among children. The relationship observed with obesity is not explained by the availability of area facilities.

Socioeconomic position and childhood-adolescent weight status in rich countries: a systematic review, 1990-2013.

BACKGROUND: Childhood obesity is a major problem in rich countries due to its high prevalence and its harmful health consequences. An exploratory analysis conducted in the PubMed database highlighted that the number of papers published on the relationship between socioeconomic position (SEP) and childhood-adolescent weight status had risen substantially with respect to an earlier review which had covered the period 1990-2005. METHODS: To describe the findings on the relationship between SEP and childhood-adolescent weight status in papers published in rich countries from 1990 through 2013, studies were identified in the following databases: PubMed; Web of Knowledge (WOK); PsycINFO; Global Health; and Embase. We included observational studies from the 27 richest OECD countries, which covered study populations aged 0 to 21 years, and used parental education, income and/or occupation as family SEP indicators. A total of 158 papers met the inclusion criteria and reported 134 bivariable and 90 multivariable analyses. RESULTS: Examination of the results yielded by the bivariable analyses showed that 60.4% of studies found an inverse relationship, 18.7% of studies did not found relationship, and 20.9% of studies found a relationship that varied depending on another variable, such as age, sex or ethnic group; the corresponding percentages in the multivariable analyses were 51.1, 20.0 and 27.8%, respectively. Furthermore, 1.1% found a positive relationship. CONCLUSION: The relationship between SEP and childhood-adolescent weight status in rich countries is predominantly inverse and the positive relationship almost has disappeared. The SEP indicator that yields the highest proportion of inverse relationships is parents' education. The proportion of inverse relationships is higher when the weight status is reported by parents instead using objective measurements.

The Association of Geographic Coordinates with Mortality in People with Lower and Higher Education and with Mortality Inequalities in Spain.

OBJECTIVE: Geographic patterns in total mortality and in mortality by cause of death are widely known to exist in many countries. However, the geographic pattern of inequalities in mortality within these countries is unknown. This study shows mathematically and graphically the geographic pattern of mortality inequalities by education in Spain. METHODS: Data are from a nation-wide prospective study covering all persons living in Spain's 50 provinces in 2001. Individuals were classified in a cohort of subjects with low education and in another cohort of subjects with high education. Age- and sex-adjusted mortality rate from all causes and from leading causes of death in each cohort and mortality rate ratios in the low versus high education cohort were estimated by geographic coordinates and province. RESULTS: Latitude but not longitude was related to mortality. In subjects with low education, latitude had a U-shaped relation to mortality. In those with high education, mortality from all causes, and from cardiovascular, respiratory and digestive diseases decreased with increasing latitude, whereas cancer mortality increased. The mortality-rate ratio for all-cause death was 1.27 in the southern latitudes, 1.14 in the intermediate latitudes, and 1.20 in the northern latitudes. The mortality rate ratios for the leading causes of death were also higher in the lower and upper latitudes than in the intermediate latitudes. The geographic pattern of the mortality rate ratios is similar to that of the mortality rate in the low-education cohort: the highest magnitude is observed in the southern provinces, intermediate magnitudes in the provinces of the north and those of the Mediterranean east coast, and the lowest magnitude in the central provinces and those in the south of the Western Pyrenees. CONCLUSION: Mortality inequalities by education in Spain are higher in the south and north of the country and lower in the large region making up the central plateau. This geographic pattern is similar to that observed in mortality in the low-education cohort.

[Geographic Patterns of Mortality and Socioeconomic Inequalities in Mortality in Spain]. / Patrones geográficos de la mortalidad y de las desigualdades socioeconómicas en mortalidad en España.

BACKGROUND: Estimates of socioeconomic inequalities in mortality coming from individual data sources were only available from Madrid, the Basque Country and the city of Barcelona. The aim of this study was to show the geographical pattern of mortality in different socio-economic groups, as well as that of inequalities in mortality in the whole Spanish territory. METHODS: All people aged 25 and older in the 2001 census were followed for seven years and two months to determine their vital status (196 470 401 person-years at risk and 2,379,558 deaths). The socioeconomic variable was educational level. Age-adjusted mortality rate was estimated for women and men in every province and in each category of educational level. Inequalities in mortality in each province have been estimated by the ratio of mortality in subjects with primary or lower level of education compared to subjects with university education. RESULTS: In women, the lowest rate ratios -between 1.06 and 1.16- are observed in Palencia, Segovia, Guadalajara, Avila and Castellon and the highest -between 1.53 and 1,75- in Malaga, Las Palmas, Ceuta, Melilla and Toledo. In men, the lowest rate ratios -between 1.00 and 1.12- are observed in Guadalajara, Teruel, Cuenca, La Rioja and Ávila and the highest -between 1.47 and 1,73- in Las Palmas, Cantabria, Murcia, Melilla and Ceuta. CONCLUSIONS: The geographical pattern of mortality rates in Spain varies by educational level. Inequalities in mortality by education have the lowest magnitude in central peninsular provinces.

Inequalities in mortality at older ages decline with indicators of material wealth but persist with educational level.

OBJECTIVE: This study aimed to investigate the relationship between education and different indicators of material wealth with mortality, and to analyze whether this relationship varies with the leading causes of death. METHODS: All persons aged 65 and older residing in Spain in 2001 were followed up for 7 years to determine their vital status. The relationship between mortality and four indicators of socioeconomic position (education, number of rooms in home, surface area of home and number of vehicles) was estimated in three age groups: 65-74, 75-84 and 85 and older. Rate ratios and relative index of inequality (RII) were calculated for general mortality and for the leading causes of death by Poisson regression. RESULTS: In women, the mortality rate ratio for low vs. high educational level was 1.48 for persons aged 65-74, 1.43 for those aged 75-84 and 1.40 for those aged 85 and older. The respective rates for men were 1.30, 1.25 and 1.29. For the indicators of material wealth, the differences between morality rates in the lower vs. the higher socioeconomic categories decline with age. Mortality differences by the leading causes of death decline with age, except in the case of cancer in women and cardiovascular and digestive mortality in men according to educational level. CONCLUSIONS: Relative socioeconomic differences in mortality in the older Spanish population decrease with age using indicators of material wealth but not using educational level. The variation in the pattern of mortality by cause of death by level of education may be responsible for these findings.

The role of population change in the increased economic differences in mortality: a study of premature death from all causes and major groups of causes of death in Spain, 1980-2010.

BACKGROUND: An increase has been observed in differences in mortality between the richest and poorest areas of rich countries. This study assesses whether one of the proposed explanations, i.e., population change, might be responsible for this increase in Spain. METHODS: Observational study based on average income, population change and mortality at provincial level. The premature mortality rate (ages 0-74 years) was estimated for all causes and for cancer, cardiovascular disease and external causes across the period 1980-2010. In the years analysed, provinces were grouped into tertiles based on provincial income, with the mortality rate ratio (MMR) being estimated by taking the tertile of highest-income provinces as reference. Population change was then controlled for to ascertain whether it would modify the rate ratio. RESULTS: In all-cause mortality, the magnitude of the MRR for provinces in the poorest versus the richest tertile was 1.01 in 1980 and 1.12 in 2010; in cardiovascular mortality, the MMRs for these same years were 1.08 and 1.31 respectively; and in the case of cancer and external-cause mortality, MMR magnitude was similar in 1980 and 2010. The magnitude of the MMR remained unchanged in response to adjustment for population change, with the single exception of 1980, when it increased in all-cause and cardiovascular mortality. CONCLUSION: The increase in the difference in premature mortality between the richest and poorest areas in Spain is due to the increased difference in cardiovascular mortality. This increase is not accounted for by population change. In rich countries, more empirical evidence is thus needed to test other alternative explanations for the increase in economic differences in mortality.

Patrones geográficos de la mortalidad y de las desigualdades socioeconómicas en mortalidad en España / Geographic patterns of mortality and socioeconomic inequalities in mortality in Spain

Fundamentos: Las estimaciones sobre desigualdades socioeconómicas en mortalidad a partir de registros individuales de defunciones y población son escasas y proceden únicamente de la la ciudad de Barcelona, la Comunidad de Madrid y el País Vasco. El objetivo del presente estudio fue mostrar el patrón geográfico de mortalidad en diferentes grupos socioeconómicos, así como el de las desigualdades en mortalidad en el conjunto del territorio español. Métodos: Se realizó el seguimiento de todos los individuos mayores de 25 años del censo de población 2001 durante siete años y dos meses para conocer su estado vital (196.470.401 personas-año a riesgo y 2.379.558 defunciones). Se calculó la tasa de mortalidad ajustada por edad en hombres y mujeres por provincia y nivel de estudios. Las desigualdades en mortalidad provinciales se estimaron mediante la razón de tasas de mortalidad en los sujetos con nivel de estudios primarios o inferiores respecto a los sujetos con estudios universitarios. Resultados: En mujeres, las razones de tasas más bajas -entre 1,06 y 1,16- se observaron Palencia, Segovia, Guadalajara y Ávila. Las más altas -entre 1,53 y 1,75- en Málaga, Las Palmas, Ceuta, Toledo y Melilla. En hombres, las razones de tasas más bajas -entre 1,00 y 1,12- se observan en Guadalajara, Teruel, Cuenca, La Rioja y Ávila y las más altas -entre 1,47 y 1,73- en Las Palmas, Cantabria, Murcia, Melilla y Ceuta. Conclusiones: El patrón geográfico de las tasas de mortalidad en España varía según el nivel educativo. Las desigualdades en mortalidad muestran menor magnitud en las provincias del centro peninsular (AU)

Background: Estimates of socioeconomic inequalities in mortality coming from individual data sources were only available from Madrid, the Basque Country and the city of Barcelona. The aim of this study was to show the geographical pattern of mortality in different socio-economic groups, as well as that of inequalities in mortality in the whole Spanish territory. Methods: All people aged 25 and older in the 2001 census were followed for seven years and two months to determine their vital status (196 470 401 person-years at risk and 2,379,558 deaths). The socioeconomic variable was educational level. Age-adjusted mortality rate was estimated for women and men in every province and in each category of educational level. Inequalities in mortality in each province have been estimated by the ratio of mortality in subjects with primary or lower level of education compared to subjects with university education. Results: In women, the lowest rate ratios –between 1.06 and 1.16- are observed in Palencia, Segovia, Guadalajara, Avila and Castellon and the highest -between 1.53 and 1,75- in Malaga, Las Palmas, Ceuta, Melilla and Toledo. In men, the lowest rate ratios -between 1.00 and 1.12 - are observed in Guadalajara, Teruel, Cuenca, La Rioja and Ávila and the highest -between 1.47 and 1,73- in Las Palmas, Cantabria, Murcia, Melilla and Ceuta. Conclusions: The geographical pattern of mortality rates in Spain varies by educational level. Inequalities in mortality by education have the lowest magnitude in central peninsular provinces (AU)

Low mortality in the poorest areas of Spain: adults residing in provinces with lower per capita income have the lowest mortality.

The objective of this study is to ascertain whether income inequality and per capita income of area of residence show a relationship with mortality in Spain. Data are from a nation-wide prospective study with a 7-year mortality follow-up covering all persons living in Spain's 50 provinces in 2001. In total 28,944,854 subjects aged 25 years or over at baseline were studied. Rate ratio for total mortality and cause-specific mortality, according to provincial income inequality and per capita income in two age groups, 25-64 years (adult population) and 65 years and over (elderly population). Provincial income inequality was not related to total mortality or cause-specific mortality. Total mortality rate ratios among residents of the poorest versus the richest provinces were 0.89 (95% CI 0.95-0.93) in men and 0.91 (0.87-0.96) in women, among the adult population; and 1.02 (0.97-1.08) in men and 1.08 (1.02-1.16) in women, among the elderly population. With the exception of cardiovascular-disease mortality for which no association with per capita income was observed, adult residents of the poorest provinces registered the lowest mortality rate ratio for other causes of death. Elderly residents of the poorest provinces registered the highest mortality rate ratio for cardiovascular disease and the lowest mortality rate ratio for cancer and external causes. Aside from cardiovascular-disease mortality, the lowest mortality for most causes of death was registered by residents of the poorest provinces. Nevertheless, these findings need to be confirmed by similar studies using smaller areas as the unit of analysis.

Desigualdades en inactividad física según el nivel de estudios en España, en 1987 y 2007 / Inequalities in physical inactivity according educational level in Spain, 1987 and 2007

OBJETIVO: Comparar la magnitud de las desigualdades en la frecuencia de inactividad física en España en 1987 y 2007. DISEÑO: Estudio descriptivo, diseño transversal, nivel nacional. Participantes: Datos de la Encuesta Nacional de Salud de 1987 y 2007, población adulta de 25 a 64 años. Tamaño muestral 30.000 sujetos (1987) y 29.478 (2006/7). Mediciones principales: Variable principal de resultados, inactividad física en tiempo libre. Factor de exposición, nivel educativo. Análisis de prevalencias y asociación a través de odds ratio (OR). Ajuste por variables socioeconómicas: edad en decenios, estado civil, situación laboral, clase social del cabeza de familia e ingresos del hogar. RESULTADOS: Descenso de la prevalencia de inactividad física en tiempo libre en 2007 respecto a 1987, tanto en mujeres como hombres. Mayores descensos observados entre los sujetos con estudios universitarios. La magnitud de las desigualdades en salud ha aumentado con el tiempo. Así ocurrió por ejemplo con el grupo de varones de 45 a 64 años, con OR de 2,43 (1,91-3,09) en 1987, a OR de 2,77 (2,17-3,54) en 2007, ajustadas por todas las variables socioeconómicas), en el caso de sujetos con peor nivel de estudios. CONCLUSIONES: a prevalencia de inactividad física descendió entre 1987 y 2007, y los mayores descensos fueron en sujetos con estudios universitarios. La brecha de las diferencias en prevalencias y OR de inactividad física en tiempo libre, ha aumentado con el tiempo. Parece necesario contribuir, desde estrategias de Educación para la Salud y promoción de la equidad, a la reducción de las desigualdades en conductas de riesgo

OBJECTIVE: To compare the magnitude of inequalities in the frequency of physical inactivity in Spain in 1987 and 2007, and assess whether the magnitude of inequality varies depending on the wealth of the area of residence. DESIGN: Descriptive cross-sectional study, national scope. Participants: Data from the National Health Survey, 1987 and 2007, adult population between 25-64 years: 30,000 individuals (1987) and 29,478 (2006/7). Main measurements: Main outcomes variable, leisure-time physical inactivity; exposure factor, educational level. An analysis was made of the prevalence and association using odds ratio (OR). Adjustment for socioeconomic variables: age, marital status, employment status, social class of head of household, and household income. RESULTS: Physical inactivity prevalence decreased in the two decades. There were more than three times more inactive males among those with primary education or less, compared to those with university studies. The magnitude of inequalities has increased in time: in a 45-64 years old man with primary school education: OR 2.43 (1.91-3.09) in 1987, to OR 2.77 (2.17-3.54) in 2007, adjusted for all socioeconomic variables. CONCLUSIONS: The prevalence of physical inactivity decreased between 1987 and 2007, and the largest decreases were in individuals with university studies. The gap in the differences in prevalence and OR of leisure-time physical inactivity has increased over time. It's necessary to contribute, with health education strategies and equity promotion are needed to help reduce the inequalities in risk behaviors

Patrón socioeconómico en la alimentación no saludable en niños y adolescentes en España / Socioeconomic pattern in unhealthy diet in children and adolescents in Spain

OBJETIVO: Investigar la posible asociación de patrones alimentarios relacionados con la obesidad y la posición socioeconómica en la población infantil y adolescente española. DISEÑO: Estudio descriptivo transversal. Participantes: Los datos proceden de la Encuesta Nacional de Salud de 2007, realizada a una muestra representativa española de 0 a 15 años. En este estudio se han analizado 6.143 sujetos de 5 a 15 años. Mediciones principales: Se ha estimado la prevalencia de omisión de desayuno, la prevalencia de bajo consumo de fruta y verdura y la prevalencia de alto consumo de comida rápida, snacks y bebidas azucaradas. Los indicadores de posición socioeconómica han sido el nivel de estudios y la clase social de la persona que aportaba más ingresos económicos al hogar. En cada consumo de alimentos se han estimado las diferencias socioeconómicas mediante la razón de prevalencia, tomando como referencia la categoría socioeconómica más alta. RESULTADOS: Tanto en la infancia como en la adolescencia la magnitud de la razón de prevalencia muestra un gradiente socioeconómico inverso en todos los consumos de alimentos investigados: la menor y la mayor razón de prevalencia se observa en los sujetos de familias de posición socioeconómica más alta y más baja, respectivamente. CONCLUSIÓN: En la población infantil y adolescente española la alimentación no saludable relacionada con la obesidad muestra un patrón socioeconómico claro

OBJECTIVE: To investigate the possible association of dietary patterns associated with obesity and socioeconomic status in Spanish children and adolescents. DESIGN: Cross-sectional study. Participants: Data were drawn from the 2007 National Health Survey, conducted on a representative sample of Spanish 0-15 years. In this study we have analyzed 6143 subjects from 5 to15 years. Main measurements: It has been estimated prevalence of breakfast skipping, the prevalence of low consumption of fruit and vegetable and the prevalence of high fast food, snacks and sugary drinks consumption. Socioeconomic status indicators were educational level and social class of primary household earner. In each type of food consumption socioeconomic differences were estimated by prevalence ratio using the higher socioeconomic status as reference category. RESULTS: Both in childhood and adolescence, the magnitude of the prevalence ratio shows an inverse socioeconomic gradient in all foods consumption investigated: the lowest and highest prevalence ratios have been observed in subjects from families of higher socioeconomic status and lower, respectively. CONCLUSION: Unhealthy food related with obesity show a clear socioeconomic pattern in Spanish children and adolescents

[Inequalities in physical inactivity according educational level in Spain, 1987 and 2007]. / Desigualdades en inactividad física según el nivel de estudios en España, en 1987 y 2007.

OBJECTIVE: To compare the magnitude of inequalities in the frequency of physical inactivity in Spain in 1987 and 2007, and assess whether the magnitude of inequality varies depending on the wealth of the area of residence. DESIGN: Descriptive cross-sectional study, national scope. PARTICIPANTS: Data from the National Health Survey, 1987 and 2007, adult population between 25-64 years: 30,000 individuals (1987) and 29,478 (2006/7). MAIN MEASUREMENTS: Main outcomes variable, leisure-time physical inactivity; exposure factor, educational level. An analysis was made of the prevalence and association using odds ratio (OR). Adjustment for socioeconomic variables: age, marital status, employment status, social class of head of household, and household income. RESULTS: Physical inactivity prevalence decreased in the two decades. There were more than three times more inactive males among those with primary education or less, compared to those with university studies. The magnitude of inequalities has increased in time: in a 45-64 years old man with primary school education: OR 2.43 (1.91-3.09) in 1987, to OR 2.77 (2.17-3.54) in 2007, adjusted for all socioeconomic variables. CONCLUSIONS: The prevalence of physical inactivity decreased between 1987 and 2007, and the largest decreases were in individuals with university studies. The gap in the differences in prevalence and OR of leisure-time physical inactivity has increased over time. It's necessary to contribute, with health education strategies and equity promotion are needed to help reduce the inequalities in risk behaviors.

[Socioeconomic pattern in unhealthy diet in children and adolescents in Spain]. / Patrón socioeconómico en la alimentación no saludable en niños y adolescentes en España.

OBJECTIVE: To investigate the possible association of dietary patterns associated with obesity and socioeconomic status in Spanish children and adolescents. DESIGN: Cross-sectional study. PARTICIPANTS: Data were drawn from the 2007 National Health Survey, conducted on a representative sample of Spanish 0-15 years. In this study we have analyzed 6143 subjects from 5 to 15 years. MAIN MEASUREMENTS: It has been estimated prevalence of breakfast skipping, the prevalence of low consumption of fruit and vegetable and the prevalence of high fast food, snacks and sugary drinks consumption. Socioeconomic status indicators were educational level and social class of primary household earner. In each type of food consumption socioeconomic differences were estimated by prevalence ratio using the higher socioeconomic status as reference category. RESULTS: Both in childhood and adolescence, the magnitude of the prevalence ratio shows an inverse socioeconomic gradient in all foods consumption investigated: the lowest and highest prevalence ratios have been observed in subjects from families of higher socioeconomic status and lower, respectively. CONCLUSION: Unhealthy food related with obesity show a clear socioeconomic pattern in Spanish children and adolescents.

Decreasing income inequality and emergence of the association between income and premature mortality: Spain, 1970-2010.

This study evaluates the relationship between income and mortality in Spain over a long period of declining in income inequality. The ratio between income in the richest and poorest provinces was 2.74 in 1970 and 2.10 in 2010. Pearson correlation coefficients for the association between provincial income and the measures of mortality were estimated, as well as absolute and relative differences between the mortality rates of the poorest and richest provinces. The correlation coefficient between income and infant mortality decreased from -0.59 in 1970 to -0.17 in 2010, and lost significance from 1995 onwards. The coefficient for premature all-cause mortality increased from -0.04 in 1970 to -0.40 in 2010, and acquired significance beginning in 2005. The coefficient also increased in mortality from cardiovascular, respiratory and digestive diseases. No association was found between provincial income and cancer mortality or mortality from injuries. The findings on premature mortality do not support the theory that decreasing income inequality will lead to reduced inequalities in mortality.

Sports facilities in Madrid explain the relationship between neighbourhood economic context and physical inactivity in older people, but not in younger adults: a case study.

BACKGROUND: Neighbourhood characteristics may contribute to differences in physical inactivity. PURPOSE: To evaluate whether the availability of sports facilities helps explain the differences in physical inactivity according to the economic context of the neighbourhood. METHODS: 6607 participants representative of the population aged 16-74 years, resident in Madrid (Spain) in 2005, were analysed. Using ORs calculated by multilevel logistic regression, the association between per capita income of the neighbourhood of residence and physical inactivity was estimated, after adjusting for age, population density, individual socioeconomic characteristics and the availability of green spaces. The analysis was repeated after further adjustment for the availability of sports facilities to determine if this reduced the magnitude of the association. RESULTS: Residents in the neighbourhoods with the lowest per capita income had the highest OR for the prevalence of physical inactivity. In participants aged 16-49 years, after adjusting for the availability of sports facilities, the magnitude of the OR in the poorest neighbourhoods with respect to the richest neighbourhoods increased in men (from 2.22 to 2.35) and declined by 13% in women (from 2.13 to 1.98). In contrast, in the population aged 50-74 years, this adjustment reduced the magnitude of the OR by 21% in men (from 2.00 to 1.80) and by 53% in women (from 2.03 to 1.48). CONCLUSIONS: The poorest neighbourhoods show the highest prevalence of physical inactivity. The availability of sports facilities explains an important part of this excess prevalence in participants aged 50-74 years, but not in younger individuals.