The heterogeneity of reversion to normoglycemia according to prediabetes type is not explained by lifestyle factors.

Healthy lifestyle interventions and drug therapies are proven to have a positive preventative influence on normal glucose regulation in prediabetes. However, little is known on the specific role that these factors play on reversion to normal glycemia according to type of prediabetes. We used data from the Observational prospective cohort study, The Cohort study in Primary Health Care on the Evolution of Patients with Prediabetes from 2012 to 2015. A total of 1184 individuals aged 30-74 years old were included and classified based on the ADA in three mutually exclusive groups using either fasting plasma glucose (FPG) levels (from 100 to 125 mg/dl, FPG group), HbA1c (5.7-6.4%, HbA1c group) or both impaired parameters. Information on lifestyle factors and biochemical parameters were collected at baseline. Reversion to normal glucose regulation was calculated at third year of follow-up. Relationship of lifestyle factor and type of prediabetes with reversion were estimated using odds ratios (ORs) with 95% confidence intervals (95% CIs) adjusting by different groups of confounders. Proportion of reversion rates were 31% for FPG group, 31% for HbA1c group and 7.9% for both altered parameters group, respectively. Optimal life style factors such as BMI < 25 kg/m2[OR (95% CI): 1.90 (1.20-3.01)], high adherence to Mediterranean diet 1.78 (1.21-2.63) and absence of abdominal obesity 1.70 (1.19-2.43) were the strongest predictors for reversion to normal glucose. However, those did not modify the ORs of reversion to normal glucose. Taking as reference those with both impaired parameters, subjects with FPG impairment (FPG group) had an OR of 4.87 (3.10-7.65) and 3.72 (2.39-5.78) for HbA1c group. These estimates remained almost the same after further adjustment for biochemical parameters and lifestyle factors (4.55(2.84-7.28) and 3.09 (1.92-4.97), respectively). Optimal lifestyle factors showed to be a positive predictor for reversion to normal glucose regulation however, the differences of reversion risk according type of prediabetes are not explained by lifestyle factors.

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.

Macroeconomic fluctuations, changes in lifestyles and mortality from diabetes: a quasiexperimental study.

BACKGROUND: To evaluate trends in diabetes-related health behaviours and mortality from diabetes and other chronic diseases in the Spanish population before, during and after the 2008 economic crisis. METHODS: Annual population measurements were obtained from national surveys and administrative registries for 2004-2016. Using segmented regression analysis, we calculated the annual percentage change (APC) in 2004-2007, 2008-2010, 2011-2013 and 2014-2016 in risk behaviours (smoking, alcohol consumption, obesity and meals away from home), in healthy behaviours (fruit and vegetable intake and physical activity) and in mortality rates from diabetes, cardiovascular disease and cancer. RESULTS: In general, during the economic crisis (2008-2013), the Spanish population reduced risk behaviours and improved healthy behaviours as compared with the trend observed before and afterwards. Diabetes mortality decreased more during the crisis than before or afterwards. The APC in each time interval was -3.3, -3.7, -4.4 and -2.6 in all-age mortality and -2.9, -5.2, -6.7 and -1.3 in premature mortality (less than 75 years). Only in older people (≥75 years) diabetes mortality showed similar decline before and during the crisis. Mortality from cardiovascular disease also declined more during the crisis, except for all-age mortality and older people in the second part of the crisis, whereas the downward trend in cancer mortality was smaller during the crisis years. CONCLUSIONS: During the 6 years of the economic crisis in Spain, the favourable changes in health behaviours were accompanied by an important reduction in diabetes mortality in the population.

Use of health services according to income before and after elimination of copayment in Germany and restriction of universal health coverage in Spain.

BACKGROUND: In Germany copayment for medical consultation was eliminated in 2013, and in Spain universal health coverage was partly restricted in 2012. This study shows the relationship between income and the use of health services before and after these measures in each country. METHODS: Data were taken from the 2009 and 2014 Socio-Economic Panel conducted in Germany, and from the 2009 and 2014 European Health Surveys in Spain. The health services investigated were physician consultations and hospital admissions, and the measure of socioeconomic position used was household income. The magnitude of the relationship between socioeconomic position and the use of each health service in people from 16 to 74 years old was estimated by calculating the percentage ratio using binary regression. RESULTS: In Germany, after adjusting for age, sex, and need for care, in the model comparing the two lower income categories to the two higher categories, the percentage ratio for physician consultation was 0.97 (95% CI 0.96-0.99) in 2009 and 0.98 (95% CI 0.97-0.99) in 2014, and the percentage ratio for hospitalization was 1.01 (95% CI 0.93-1.10) in 2009 and 1.16 (95% CI 1.08-1.25) in 2014. In Spain, after adjusting for age, sex, and self-rated health, the percentage ratio for physician consultation was 0.99 (95% CI 0.94-1.05) in 2009 and 1.08 (95% CI 1.03-1.14) in 2014, and the percentage ratio for hospitalization was 1.04 (95% CI 0.92-1.18) in 2009 and 0.99 (95% CI 0.87-1.14) in 2014. CONCLUSION: The results suggest that elimination of the copayment in Germany did not change the frequency of physician consultations, whereas after the restriction of universal health coverage in Spain, subjects with lower incomes had a higher frequency of physician consultations.

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.

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.

Influencia de la mortalidad en las personas con bajo nivel educativo en la variación de las desigualdades de mortalidad en las comunidades autónomas / Variation in mortality inequalities in the Autonomous Communities of Spain: the influence of mortality in people with less education

Fundamento. Dada la importancia de las tasas de mortalidad en cada grupo socioeconómico, como explicación de la variación en las desigualdades de mortalidad entre las poblaciones, el objetivo del presente estudio es evaluar si la variación regional en las desigualdades de mortalidad en España está relacionado con las tasas de mortalidad en diferentes grupos socioeconómicos. Métodos. El estudio incluyó a todas las personas de 30-74 años que vivían en España en 2001 y a las que se realizó un seguimiento para conocer su estado vital más de 7 años. En cada una de las 17 comunidades autónomas se han estimado las tasas de mortalidad en personas con bajo y con alto nivel educativo, así como dos medidas de desigualdad de la mortalidad de acuerdo a la educación: diferencia de tasas de mortalidad y razón de tasas de mortalidad. Se calculó el valor de la mediana de las desigualdades de mortalidad en las comunidades autónomas con las tasas de mortalidad más altas y bajas y en aquellas con las tasas de mortalidad intermedias. Y se estimó el coeficiente de correlación de Pearson para evaluar la relación entre las tasas de mortalidad y las medidas de desigualdad en mortalidad. Resultados. Los coeficientes de correlación de la tasa de mortalidad en personas con bajo nivel educativo con la diferencia de tasa de mortalidad y con la razón de tasas de mortalidad fueron 0,87 y 0,78 en mujeres y 0,81 y 0,73 en los hombres, respectivamente. Los coeficientes de correlación de la tasa de mortalidad en personas con alto nivel educativo con la diferencia de tasa de mortalidad y con la razón de tasas de mortalidad fueron -0,07 y -0,24 en mujeres y 0,10 y -0,06 en los hombres, respectivamente. Conclusión. Las comunidades autónomas con las tasas de mortalidad más bajas y más altas en las personas con bajo nivel educativo generalmente tienen las menores y las mayores desigualdades en mortalidad. La variación en la magnitud de las desigualdades en mortalidad de un lugar a otro puede ser explicada por la variación en la tasa de la mortalidad en las personas con bajo nivel educativo.No se observó relación entre la tasa de mortalidad en personas con alto nivel educativo y las desigualdades de la mortalidad. (AU)

Background. Given the importance of mortality rates in each socioeconomic group, as explanation for the variation in mortality inequalities across populations, the objective of the present study is to evaluate whether regional variation in mortality inequalities in Spain is related to the mortality rates in different socioeconomic groups. Methods. The study included all persons aged 30-74 years living in Spain in 2001 and followed up for mortality over 7 years. In each of the 17 autonomous communities of Spain mortality rates were estimated for those with low and high education, as well as two measures of mortality inequality according to education: mortality rate difference and mortality rate ratio. Median value of mortality inequalities was calculated for the regions with the highest and lowest mortality rates and for those with intermediate mortality rates. And the Pearson correlation coefficient was used to estimate the relation between mortality rates and the measures of mortality inequality. Results. The correlation coefficients between mortality rate in low education and mortality rate difference and mortality rate ratio were 0.87 and 0.78 in women and 0.81 and 0.73 in men, respectively. The correlation coefficients between mortality rate in high education and mortality rate difference and mortality rate ratio were -0.07 and -0.24 in women and 0.10 and -0.06 in men, respectively. Conclusion. Regions with the lowest and highest mortality rates in low education people generally had the lowest and highest inequalities in mortality. The variation in the magnitude of inequalities in mortality from one place to another can be explained by the variation in mortality in low education people. No relation was observed between mortality rate in high education and mortality inequality (AU)

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.

[Variation in mortality inequalities in the autonomous communities of Spain: a matter of mortality in people with less education].

BACKGROUND: Given the importance of mortality rates in each socioeconomic group, as explanation for the variation in mortality inequalities across populations, the objective of the present study is to evaluate whether regional variation in mortality inequalities in Spain is related to the mortality rates in different socioeconomic groups. METHODS: The study included all persons aged 30-74 years living in Spain in 2001 and followed up for mortality over 7 years. In each of the 17 autonomous communities of Spain mortality rates were estimated for those with low and high education, as well as two measures of mortality inequality according to education: mortality rate difference and mortality rate ratio. Median value of mortality inequalities was calculated for the regions with the highest and lowest mortality rates and for those with intermediate mortality rates. And the Pearson correlation coefficient was used to estimate the relation between mortality rates and the measures of mortality inequality. RESULTS: The correlation coefficients between mortality rate in low education and mortality rate difference and mortality rate ratio were 0.87 and 0.78 in women and 0.81 and 0.73 in men, respectively. The correlation coefficients between mortality rate in high education and mortality rate difference and mortality rate ratio were -0.07 and -0.24 in women and 0.10 and -0.06 in men, respectively. CONCLUSION: Regions with the lowest and highest mortality rates in low education people generally had the lowest and highest inequalities in mortality. The variation in the magnitude of inequalities in mortality from one place to another can be explained by the variation in mortality in low education people. No relation was observed between mortality rate in high education and mortality inequality.

Risk behaviors and sports facilities do not explain socioeconomic differences in childhood obesity: a cross-sectional study.

BACKGROUND: To assess whether the relationship between neighborhood socioeconomic context of residence and childhood obesity is explained by family socioeconomic position, risk behaviors and availability of sports facilities. METHODS: Based on the income and educational level of residents in the neighborhoods of the city of Madrid, two indicators of socioeconomic context were calculated using the information about income and education and grouped into quartiles. In a sample of 727 children aged 6-15 years, the relationship of these indicators with overweight and obesity was studied using multilevel logit models. RESULTS: With respect to children and adolescents living in neighborhoods having higher per capita incomes or higher population percentages with university education those living in neighborhoods having lower per capita incomes or lower population percentages with university education had age- and sex-adjusted odds ratios (ORs) of overweight that were 1.84 (95% CI, 1.03-3.29) and 1.68 (0.95-2.94) times higher, respectively. After adjustment for family socioeconomic position, unhealthy diet and physical inactivity, these ORs fell to 1.80 (0.99-3.29) and 1.56 (0.87-2.79), respectively. In the case of obesity, the age- and sex-adjusted ORs in these quartiles of both indicators of socioeconomic context were 3.35 (1.06-10.60) and 3.29 (1.03-10.52), respectively, rising to 3.77 (1.12-12.70) and 3.42 (1.00-11.68) after adjustment for the remaining variables. The highest OR was observed in the third quartile, except in the case of the relationship between per capita income and obesity. No relationship between the number of sport facilities per 1,000 population and physical inactivity was observed. CONCLUSION: The socioeconomic context is associated with obesity but not with overweight children in Madrid. The relationship is not explained by family socioeconomic position, risk behaviors and availability of sports facilities.

Plantago ovata consumption and colorectal mortality in Spain, 1995-2000.

BACKGROUND: Consumption of Plantago ovata may protect against colorectal cancer. To test this hypothesis, an ecological study was performed to determine mortality rates and distribution of colorectal cancer, and the consumption and distribution of P ovata, in different provinces in Spain. The putative association between P ovata consumption and mortality from colorectal cancer was then evaluated. METHODS: We conducted a comparative ecological study of Spanish provinces, with colorectal cancer mortality as the dependent variable and per capita consumption of P ovata by province and year as the independent variable. Associations were analyzed by calculating Spearman's correlation coefficients and a Poisson multiple regression model. RESULTS: Consumption of P ovata tended to be inversely correlated with mortality from colorectal cancer. In the Poisson regression analysis this tendency remained and reached statistical significance for the top quintile of P ovata consumption in the adjusted analysis (P = 0.042). CONCLUSIONS: Our results show an inverse trend between the consumption of P ovata and colorectal cancer mortality. We recommend additional observational studies of individuals, in order to better control confounding factors.

[Burnout syndrome among nursing staff at a hospital in Madrid]. / Síndrome de Burnout en el personal de enfermería de un hospital de Madrid.

BACKGROUND: The term "burnout" is related to a situation arising increasingly more often among the professionals performing their duties by way of a long-term, direct, people-to-people relationship, which includes all healthcare professionals. This study is aimed at determining the prevalence of the Burnout syndrome and of the three components involved therein (emotional exhaustion, impersonalization and lack of personal fulfillment) among the nursing staff at the "Hospital Clínico Universitario San Carlos" in Madrid and the relationship thereof to certain socio-demographic, job-related and institutional factors. METHODS: A cross-sectional study was conducted among the professionals assigned to the nursing staff at the above-mentioned hospital. The variables involved were gathered by means of a questionnaire prepared by those conducting this study. The Burnout syndrome was measured by means of the Maslach Burnout Inventory, in the validated Spanish version thereof. RESULTS: The nursing staff is more impersonalized (p=0.004) and less fulfilled (p=0.036) than the nursing assistant/technician group. When the results of the four scales by units were analyzed, burnout was found to be greater among the nursing staff assigned to oncology and emergency care units (p=0.001), the impersonalization in the emergency rooms (p=0.007), and Burnout is once again greater in the oncology and emergency units (p=0.000). Those professionals who answered that there was little recognition of their nursing care scored worst regarding Burnout and the three aspects thereof (p =0.000). The lower the degree of on-the-job satisfaction, the higher the scores on the four scales (p=0.000). CONCLUSIONS: The conclusion which may be drawn from this study is that the profile of a person affected by Burnout is that of a professional with on-the-job experience who nevertheless considers very little recognition to be given to their caregiving and a high degree of dissatisfaction with the way in which their workplaces are managed.

Risk factors for low birth weight: a review.

Low birth weight (LBW) is one of the main predictors of infant mortality. The global incidence of LBW is around 17%, although estimates vary from 19% in the developing countries (countries where it is an important public health problem) to 5-7% in the developed countries. The incidence in Spain in the decade 1980-1989 was about 5.7%. LBW is generally associated with situations in which uterine malnutrition is produced due to alterations in placental circulation. There are many known risk factors, the most important of which are socio-economic factors, medical risks before or during gestation and maternal lifestyles. However, although interventions exist to prevent many of these factors before and during pregnancy, the incidence of LBW has not decreased.