Heterogeneity in the association between prediabetes categories and reduction on glomerular filtration rate in a 5-year follow-up.

Prediabetes and not just diabetes can cause kidney damage. This study assess the association of prediabetes with development of impaired renal function (IRF). We used data from PREDAPS prospective study a cohort of 1072 subjects with prediabetes and another cohort of 772 subjects without prediabetes were follow-up from 2012 to 2017. Prediabetes was defined according to American Association of Diabetes criteria. IRF was defined as having a glomerular filtration rate < 60 mL/min/1.73 m2. Incidence rates of IRF in both cohorts and in different categories of prediabetes, based on impaired glycosylated hemoglobin (HbA1c) and/or fasting plasma glucose (FPG), were calculated. Hazard ratios (HR) for the association of the prediabetes with IRF, adjusting for potential confounders, were estimated by Cox regression models. Incidence rates of IRF per 100 person-years were 1.72 (95% confidence interval [CI]: 1.34-2.21) and 1.79 (95%CI: 1.45-2.20) for those without and with prediabetes, respectively .The HR of IRF in subjects with prediabetes with respect to subjects without prediabetes was 0.76 (95% CI: 0. 54-1.07). Corresponding HRs for type of prediabetes was 0.68 (95%CI: 0.40-1.15) for those with both altered parameters, 0.68 (95%CI: 00.40-1.15) for those with only impaired HbA1c and 1.12 (95%CI: 0.68-1.85) for those with only impaired FPG. The present study reflects an overall trend towards a slightly decreased risk of IRF onset associated to prediabetes except for individuals with only isolated impaired FPG. Further studies are warranted to fully assess the renal progression of each group.

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.

High levels of fasting glucose and glycosylated hemoglobin values are associated with hyperfiltration in a Spanish prediabetes cohort. The PREDAPS Study.

AIM: This study aimed to investigate whether different levels of fasting plasma glucose (FPG) and hemoglobin A1c (HbA1c) in prediabetes are associated with hyperfiltration. METHODS: A prospective cohort of 2,022 individuals aged 30-74 years took part in the PREDAPS Study. One cohort of 1,184 participants with prediabetes and another cohort of 838 participants with normal FPG and normal HbA1c were followed for 5 years. Hyperfiltration was defined as an estimated glomerular filtration rate (eGFR) above the age- and gender-specific 95th percentile for healthy control participants, while hypofiltration was defined as an eGFR below the 5th percentile. The prevalence of hyperfiltration was compared for different levels of prediabetes: level 1 of prediabetes: FPG <100 mg/dL plus HbA1c 5.7-6.0% or FPG 100-109 mg/dL plus HbA1c < 5.7%; level 2 of prediabetes: FPG <100 mg/dL plus HbA1c 6.1-6.4% or FPG 100-109 mg/dL plus HbA1c 5.7-6.0% or FPG 110-125 mg/dL plus HbA1c <5.7% and level 3 of prediabetes: FPG 100-109 mg/dL plus HbA1c 6.1-6.4% or FPG 110-125 mg/dL plus HbA1c 5.7-6.4%. RESULTS: The participants with hyperfiltration were significantly younger, had a higher percentage of active smokers, and lower levels of hemoglobin and less use of ACEIs or ARBs. Only level 3 prediabetes based on FPG 100-109 mg/dL plus HbA1c 6.1-6.4% or FPG 110-125 mg/dL plus HbA1c 5.7-6.4% had a significantly higher odds ratio (OR) of hyperfiltration (OR 1.69 (1.05-2.74); P < 0.001) compared with no prediabetes (FPG < 100 mg/dL and HbA1c < 5.7%) after adjustment for different factors. The odds ratios for different levels of HbA1c alone in prediabetes increased progressively, but not significantly. CONCLUSIONS: Level 3 of prediabetes based on FPG 100-109 mg/dL plus HbA1c 6.1-6.4% or FPG 110-125 mg/dL plus HbA1c 5.7-6.4% had a significantly higher OR of hyperfiltration compared with participants without prediabetes.

Lifestyle factors do not explain the difference on diabetes progression according to type of prediabetes: Results from a Spanish prospective cohort of prediabetic patients.

AIMS: We studied the role of lifestyle factors associated to type 2 diabetes (T2DM) onset according to type of prediabetes. METHODS: We used data from the observational prospective cohort study in Primary Health Care on the Evolution of Patients with Prediabetes in Spain (PREDAPS). Participants were classified by American Diabetes Association criteria using either fasting plasma glucose levels (100-125 mg/dL) (group 1), HbA1c (5.7%-6.4%) (group 2) or both impaired parameters (group 3). Relationship between lifestyles and diabetes onset according to prediabetes at third year of follow up were estimated by Hazard Ratios (HRs) using three sequential models. RESULTS: Incidence rate of diabetes was 2.27 cases per 1000 person-years (95% CI: 1.4-3.6) for group 1, 1.18 (95% CI: 0.65-2.13) for group 2 and 6.68 (95% CI: 5.71-8.23) for group 3. The most important risk factors were: abdominal obesity (HR: 2.29 (95% CI: 1.49-3.52)) and hypertension (HR: 2.16 (95% CI: 1.41-3.30)). Using as reference group 2, group 3 had a HR of 5.82 (3.13-10.82) and 1.83 (95% CI: 0.85-3.93) for group 1, estimates remained constant when adjusting by lifestyle and metabolic factors. CONCLUSIONS: Lifestyle and metabolic do not seem to explain the differences on T2DM onset by type of prediabetes.

Impacto de la retirada de los lavabos en una unidad de cuidados intensivos sobre los aislamientos por bacilos gramnegativos no fermentadores en pacientes con ventilación mecánica invasiva / Impact of removing sinks from an intensive care unit on isolations by gram-negative non-fermenting bacilli in patients with invasive mechanical ventilation

Introducción y objetivo: La contaminación de los lavabos, incluso por su infrautilización, se asocia a la transmisión de bacilos gramnegativos no fermentadores (BGNNF) en unidades que atienden a pacientes con alto riesgo de infección. Tras vigilancia previa con muestras ambientales y de pacientes, se explora ahora el impacto de la retirada de los lavabos de los boxes de una UCI sobre aislamientos incidentes relacionados con la atención sanitaria en muestras de broncoaspirado de pacientes con ventilación mecánica invasiva (VMI). Material y métodos: Estudio cuasiexperimental antes-después, con anualidades preintervención y postintervención correspondientes a los períodos abril 2014-2016 y abril 2016-2017, respectivamente. Se estudiaron las densidades de incidencia por 1.000 días de VMI comparándose por el método exacto basado en la distribución binomial y estimándose la razón de densidades de incidencia. Resultados: Las densidades de incidencia por 1.000 días de VMI de aislamientos por BGNNF en las muestras de broncoaspirado de los períodos pre y postintervención fueron 11,28 y 1,91, respectivamente, lo que supone una densidad de incidencia postintervención 5,90 veces menor que la previa (IC95%: 1,49-51,05; p=0,003). Conclusiones: A pesar de las limitaciones del diseño, la retirada de los lavabos apunta a una reducción de los aislamientos

Introduction and objective: Contamination of sinks, even due to their underuse, is associated with the transmission of non-fermenting gram-negative bacilli (NFGNB) to patients in Augmented Care Units. After previous monitoring with environmental and patient samples, we now explore the impact of removing sinks from ICU cubicles on incidental isolations related to health care in bronchoaspirate samples of patients with invasive mechanical ventilation (IMV). Material and methods: Quasi-experimental study, before-and-after, pre-intervention annuities April 2014-2016 and post-intervention April 2016-2017. Incidence densities per 1,000 days of IMV were studied, comparing by the exact method based on the binomial distribution and estimating the incidence density ratio. Results: The incidence densities per 1,000 days of IMV of isolations by NFGNB in bronchoaspirate samples of the pre and post-intervention periods were 11.28 and 1.9, respectively. This implies a post-intervention incidence density 5.90 times lower than before (95% CI: 1.49-51.05, P=.003). Conclusions: Despite of the limitations of the design, the removal of sinks showed a reduction of the isolations

Impact of removing sinks from an intensive care unit on isolations by gram-negative non-fermenting bacilli in patients with invasive mechanical ventilation. / Impacto de la retirada de los lavabos en una unidad de cuidados intensivos sobre los aislamientos por bacilos gramnegativos no fermentadores en pacientes con ventilación mecánica invasiva.

INTRODUCTION AND OBJECTIVE: Contamination of sinks, even due to their underuse, is associated with the transmission of non-fermenting gram-negative bacilli (NFGNB) to patients in Augmented Care Units. After previous monitoring with environmental and patient samples, we now explore the impact of removing sinks from ICU cubicles on incidental isolations related to health care in bronchoaspirate samples of patients with invasive mechanical ventilation (IMV). MATERIAL AND METHODS: Quasi-experimental study, before-and-after, pre-intervention annuities April 2014-2016 and post-intervention April 2016-2017. Incidence densities per 1,000 days of IMV were studied, comparing by the exact method based on the binomial distribution and estimating the incidence density ratio. RESULTS: The incidence densities per 1,000 days of IMV of isolations by NFGNB in bronchoaspirate samples of the pre and post-intervention periods were 11.28 and 1.9, respectively. This implies a post-intervention incidence density 5.90 times lower than before (95% CI: 1.49-51.05, P=.003). CONCLUSIONS: Despite of the limitations of the design, the removal of sinks showed a reduction of the isolations.

Adiposity and Diabetes Risk in Adults with Prediabetes: Heterogeneity of Findings Depending on Age and Anthropometric Measure.

OBJECTIVE: The study aimed to evaluate the effect of age on diabetes incidence by general and central adiposity after 3-year follow-up in adults with prediabetes. METHODS: Data were taken from a cohort of 1,184 subjects with prediabetes included in The Cohort Study in Primary Health Care on the Evolution of Patients with Prediabetes (PREDAPS). General adiposity was defined using body mass index (BMI), and central adiposity was defined with waist circumference and waist to height ratio. Data were analyzed by age groups 30 to 59 and 60 to 74 years. The association between adiposity and diabetes incidence was assessed using hazard ratios (HR). RESULTS: Adjusting for sociodemographic characteristics, lifestyles, and metabolic parameters, diabetes HR for central adiposity based on the waist circumference clinical cutoff were 2.14 (1.12-4.09) and 1.48 (0.80-2.74) for people aged 30 to 59 and 60 to 74 years, respectively. In the model additionally adjusted for BMI, diabetes HR were 2.65 (1.24-5.65) and 1.33 (0.68-2.59), respectively. The use of a 1-SD increase rather than cutoff points did not alter this pattern. Similar findings were observed with central adiposity based on waist to height ratio. CONCLUSIONS: The association of central adiposity with type 2 diabetes incidence was lower for people in the older age group than for those in the younger age group.

Fatty liver index is a predictor of incident diabetes in patients with prediabetes: The PREDAPS study.

OBJECTIVES: We evaluated the ability of the Fatty Liver Index (FLI), a surrogate marker of hepatic steatosis, to predict the development of type 2 diabetes (T2D) at 3 years follow-up in a Spanish cohort with prediabetes from a prospective observational study in primary care (PREDAPS). METHODS: FLI was calculated at baseline for 1,142 adult subjects with prediabetes attending primary care centers, and classified into three categories: FLI <30 (no steatosis), FLI 30-60 (intermediate) and FLI ≥60 (hepatic steatosis). We estimated the incidence rate of T2D in each FLI category at 3 years of follow-up. The association between FLI and incident T2D was calculated using Cox regression models adjusted for age, sex, educational level, family history of diabetes, lifestyles, hypertension, lipid profile and transaminases. RESULTS: The proportion of subjects with prediabetes and hepatic steatosis (FLI ≥60) at baseline was 55.7%. The incidence rate of T2D at 3 years follow-up was 1.3, 2.9 and 6.0 per 100 person-years for FLI<30, FLI 30->60 and FLI ≥60, respectively. The most significant variables increasing the risk of developing T2D were metabolic syndrome (hazard ratio [HR] = 3.02; 95% confidence interval [CI] = 2.14-4.26) and FLI ≥60 (HR = 4.52; 95%CI = 2.10-9.72). Moreover, FLI ≥60 was independently associated with T2D incidence: the HR was 4.97 (95% CI: 2.28-10.80) in the base regression model adjusted by sex, age and educational level, and 3.21 (95%CI: 1.45-7.09) in the fully adjusted model. CONCLUSIONS: FLI may be considered an easy and valuable early indicator of high risk of incident T2D in patients with prediabetes attended in primary care, which could allow the adoption of effective measures needed to prevent and reduce the progression of the disease.

Asociación de obesidad general y abdominal con hipertensión, dislipemia y presencia de prediabetes en el estudio PREDAPS / Association of general and abdominal obesity with hypertension, dyslipidemia and prediabetes in the PREDAPS study

Introducción y objetivos: Algunas medidas antropométricas muestran mayor capacidad que otras para discriminar la presencia de factores de riesgo cardiovascular. Este trabajo estima la magnitud de la asociación de diversos indicadores antropométricos de obesidad con hipertensión, dislipemia y prediabetes (glucemia basal o glucohemoglobina alteradas). Métodos: Análisis transversal de la información recogida en 2.022 sujetos del estudio PREDAPS (etapa basal). Se definió obesidad general como índice de masa corporal ≥ 30 kg/m2 y obesidad abdominal con 2 criterios: a) perímetro de cintura (PC) ≥ 102 cm en varones/PC ≥ 88 cm en mujeres, y b) índice cintura/estatura (ICE) ≥ 0,55. La magnitud de la asociación se estimó mediante regresión logística. Resultados: La hipertensión arterial mostró la asociación más alta con la obesidad general en mujeres (OR = 3,01; IC95%, 2,24-4,04) y con la obesidad abdominal según el criterio del ICE en varones (OR = 3,65; IC95%, 2,66-5,01). La hipertrigliceridemia y los valores bajos de colesterol unido a lipoproteínas de alta densidad mostraron la asociación más alta con obesidad abdominal según el criterio del ICE en mujeres (OR = 2,49; IC95%, 1,68-3,67 y OR = 2,70; IC95%, 1,89-3,86) y la obesidad general en varones (OR = 2,06; IC95%, 1,56-2,73 y OR = 1,68; IC95%, 1,21-2,33). La prediabetes mostró la asociación más alta con obesidad abdominal según el criterio del ICE en mujeres (OR = 2,48; IC95%, 1,85-3,33) y con obesidad abdominal según el criterio del PC en varones (OR = 2,33; IC95%, 1,75-3,08). Conclusiones: Los indicadores de obesidad abdominal mostraron la mayor asociación con la presencia de prediabetes. La relación de los indicadores antropométricos con hipertensión y con dislipemia mostró resultados heterogéneos (AU)

Introduction and objectives: Some anthropometric measurements show a greater capacity than others to identify the presence of cardiovascular risk factors. This study estimated the magnitude of the association of different anthropometric indicators of obesity with hypertension, dyslipidemia, and prediabetes (altered fasting plasma glucose and/or glycosylated hemoglobin). Methods: Cross-sectional analysis of information collected from 2022 participants in the PREDAPS study (baseline phase). General obesity was defined as body mass index ≥ 30 kg/m2 and abdominal obesity was defined with 2 criteria: a) waist circumference (WC) ≥ 102 cm in men/WC ≥ 88 cm in women, and b) waist-height ratio (WHtR) ≥ 0.55. The magnitude of the association was estimated by logistic regression. Results: Hypertension showed the strongest association with general obesity in women (OR, 3.01; 95%CI, 2.24-4.04) and with abdominal obesity based on the WHtR criterion in men (OR, 3.65; 95%CI, 2.66-5.01). Hypertriglyceridemia and low levels of high-density lipoprotein cholesterol showed the strongest association with abdominal obesity based on the WHtR criterion in women (OR, 2.49; 95%CI, 1.68-3.67 and OR, 2.70; 95%CI, 1.89-3.86) and with general obesity in men (OR, 2.06; 95%CI, 1.56-2.73 and OR, 1.68; 95%CI, 1.21-2.33). Prediabetes showed the strongest association with abdominal obesity based on the WHtR criterion in women (OR, 2.48; 95%CI, 1.85-3.33) and with abdominal obesity based on the WC criterion in men (OR, 2.33; 95%CI, 1.75-3.08). Conclusions: Abdominal obesity indicators showed the strongest association with the presence of prediabetes. The association of anthropometric indicators with hypertension and dyslipidemia showed heterogeneous results (AU)

Association of General and Abdominal Obesity With Hypertension, Dyslipidemia and Prediabetes in the PREDAPS Study.

INTRODUCTION AND OBJECTIVES: Some anthropometric measurements show a greater capacity than others to identify the presence of cardiovascular risk factors. This study estimated the magnitude of the association of different anthropometric indicators of obesity with hypertension, dyslipidemia, and prediabetes (altered fasting plasma glucose and/or glycosylated hemoglobin). METHODS: Cross-sectional analysis of information collected from 2022 participants in the PREDAPS study (baseline phase). General obesity was defined as body mass index ≥ 30kg/m2 and abdominal obesity was defined with 2 criteria: a) waist circumference (WC) ≥ 102cm in men/WC ≥ 88cm in women, and b) waist-height ratio (WHtR) ≥ 0.55. The magnitude of the association was estimated by logistic regression. RESULTS: Hypertension showed the strongest association with general obesity in women (OR, 3.01; 95%CI, 2.24-4.04) and with abdominal obesity based on the WHtR criterion in men (OR, 3.65; 95%CI, 2.66-5.01). Hypertriglyceridemia and low levels of high-density lipoprotein cholesterol showed the strongest association with abdominal obesity based on the WHtR criterion in women (OR, 2.49; 95%CI, 1.68-3.67 and OR, 2.70; 95%CI, 1.89-3.86) and with general obesity in men (OR, 2.06; 95%CI, 1.56-2.73 and OR, 1.68; 95%CI, 1.21-2.33). Prediabetes showed the strongest association with abdominal obesity based on the WHtR criterion in women (OR, 2.48; 95%CI, 1.85-3.33) and with abdominal obesity based on the WC criterion in men (OR, 2.33; 95%CI, 1.75-3.08). CONCLUSIONS: Abdominal obesity indicators showed the strongest association with the presence of prediabetes. The association of anthropometric indicators with hypertension and dyslipidemia showed heterogeneous results.

Cardiometabolic Risk Profiles in Patients With Impaired Fasting Glucose and/or Hemoglobin A1c 5.7% to 6.4%: Evidence for a Gradient According to Diagnostic Criteria: The PREDAPS Study.

It has been suggested that the early detection of individuals with prediabetes can help prevent cardiovascular diseases. The purpose of the current study was to examine the cardiometabolic risk profile in patients with prediabetes according to fasting plasma glucose (FPG) and/or hemoglobin A1c (HbA1c) criteria.Cross-sectional analysis from the 2022 patients in the Cohort study in Primary Health Care on the Evolution of Patients with Prediabetes (PREDAPS Study) was developed. Four glycemic status groups were defined based on American Diabetes Association criteria. Information about cardiovascular risk factors-body mass index, waist circumference, blood pressure, cholesterol, triglycerides, uric acid, gamma-glutamyltransferase, glomerular filtration-and metabolic syndrome components were analyzed. Mean values of clinical and biochemical characteristics and frequencies of metabolic syndrome were estimated adjusting by age, sex, educational level, and family history of diabetes.A linear trend (P < 0.001) was observed in most of the cardiovascular risk factors and in all components of metabolic syndrome. Normoglycemic individuals had the best values, individuals with both criteria of prediabetes had the worst, and individuals with only one-HbA1c or FPG-criterion had an intermediate position. Metabolic syndrome was present in 15.0% (95% confidence interval: 12.6-17.4), 59.5% (54.0-64.9), 62.0% (56.0-68.0), and 76.2% (72.8-79.6) of individuals classified in normoglycemia, isolated HbA1c, isolated FPG, and both criteria groups, respectively.In conclusion, individuals with prediabetes, especially those with both criteria, have worse cardiometabolic risk profile than normoglycemic individuals. These results suggest the need to use both criteria in the clinical practice to identify those individuals with the highest cardiovascular risk, in order to offer them special attention with intensive lifestyle intervention programs.

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.

Impact of tobacco prices and smoke-free policy on smoking cessation, by gender and educational group: Spain, 1993-2012.

BACKGROUND: To evaluate the effect of tobacco prices and the implementation of smoke-free legislation on smoking cessation in Spain, by educational level, across the period 1993-2012. METHODS: National Health Surveys data for the above two decades were used to calculate smoking cessation in people aged 25-64 years. The relationship between tobacco prices and smoking quit-ratio was estimated using multiple linear regression adjusted for time and the presence of smoke-free legislation. The immediate as well as the longer-term impact of the 2006 smoke-free law on quit-ratio was estimated using segmented linear regression analysis. The analyses were performed separately in men and women with high and low education, respectively. RESULTS: No relationship was observed between tobacco prices and smoking quit-ratio, except in women having a low educational level, among whom a rise in price was associated with a decrease in quit-ratio. The smoke-free law altered the smoking quit-ratio in the short term and altered also pre-existing trends. Smoking quit-ratio increased immediately after the ban - though this increase was significant only among women with a low educational level - and then decreased in subsequent years except among men with a high educational level. CONCLUSION: A clear relationship between tobacco prices and smoking quit-ratio was not observed in a recent period. After the implementation of smoke-free legislation the trend in the quit ratio in most of the socio-economic groups was different from the trend observed before implementation, so existing inequalities in smoking quit-ratio were not widened or narrowed.

[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.

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.

Modifiable risk factors associated with prediabetes in men and women: a cross-sectional analysis of the cohort study in primary health care on the evolution of patients with prediabetes (PREDAPS-Study).

BACKGROUND: Prediabetes is a high-risk state for diabetes development, but little is known about the factors associated with this state. The aim of the study was to identify modifiable risk factors associated with the presence of prediabetes in men and women. METHODS: Cohort Study in Primary Health Care on the Evolution of Patients with Prediabetes (PREDAPS-Study) is a prospective study on a cohort of 1184 subjects with prediabetes and another cohort of 838 subjects without glucose metabolism disorders. It is being conducted by 125 general practitioners in Spain. Data for this analysis were collected during the baseline stage in 2012. The modifiable risk factors included were: smoking habit, alcohol consumption, low physical activity, inadequate diet, hypertension, dyslipidemia, and obesity. To assess independent association between each factor and prediabetes, odds ratios (ORs) were estimated using logistic regression models. RESULTS: Abdominal obesity, low plasma levels of high-density lipoprotein cholesterol (HDL-cholesterol), and hypertension were independently associated with the presence of prediabetes in both men and women. After adjusting for all factors, the respective ORs (95% Confidence Intervals) were 1.98 (1.41-2.79), 1.88 (1.23-2.88) and 1.86 (1.39-2.51) for men, and 1.89 (1.36-2.62), 1.58 (1.12-2.23) and 1.44 (1.07-1.92) for women. Also, general obesity was a risk factor in both sexes but did not reach statistical significance among men, after adjusting for all factors. Risky alcohol consumption was a risk factor for prediabetes in men, OR 1.49 (1.00-2.24). CONCLUSIONS: Obesity, low HDL-cholesterol levels, and hypertension were modifiable risk factors independently related to the presence of prediabetes in both sexes. The magnitudes of the associations were stronger for men than women. Abdominal obesity in both men and women displayed the strongest association with prediabetes. The findings suggest that there are some differences between men and women, which should be taken into account when implementing specific recommendations to prevent or delay the onset of diabetes in adult population.

Quality of life by proxy and mortality in institutionalized older adults with dementia.

AIM: This study aimed at analyzing the effect of quality of life (QoL) on mortality in older adults with dementia living in long-term care facilities. METHODS: A prospective observational cohort study was carried out on 412 residents aged older than 60 years, diagnosed with dementia according to the Diagnostic and Statistical Manual of Mental Disorders, fourth edition. Besides assessment of QoL (EQ-5D index by proxy) and perceived health status (EQ-VAS), baseline measurements included severity of dementia (Clinical Dementia Rating Scale [CDR]), comorbidity (number of self-reported chronic conditions), disability evaluation (Barthel Index), cognitive state (Mini Examen Cognoscitivo, a validated and modified Spanish version of the Mini-Mental State Examination) and depression (Cornell Depression Scale for Dementia). Sociodemographic and clinical variables were analyzed as potential effect modifiers and confounders in the relationship between QoL and mortality using a multivariate logistic regression analysis. RESULTS: After an 18-month follow up, 138 residents had died. Adjusting for CDR and Barthel Index, the odds of mortality were multiplied by 0.25 (95% CI 0.09-0.70) and 0.79 (95% CI 0.26-2.42) for every unit of change in the EQ-5D index in the residents with Cornell score <6 and ≥ 6, respectively. CONCLUSION: The present study suggests that the effect of QoL on mortality in institutionalized adults with dementia should take into account the presence or absence of depression. In addition, residents with a greater disability and more advanced dementia should be a target for interventions in rehabilitation care.

Educational differences in mortality and the relative importance of different causes of death: a 7-year follow-up study of Spanish adults.

BACKGROUND: The evidence on mortality patterns by education in Spain comes from regional areas. This study aimed to estimate these patterns in the whole Spanish population. METHODS: All citizens aged 25 years and over and residing in Spain in 2001 were followed during 7 years to determine their vital status, resulting in a total of 196,470,401 person-years and 2,379,558 deaths. We estimated the age-adjusted total and cause-specific mortality by educational level-primary, lower secondary, upper secondary and university education-and then calculated the relative and absolute measures of inequality in mortality and contribution of the leading causes of death to absolute inequalities. RESULTS: Except for some cancer sites, the mortality rate for the leading causes of death shows an inverse gradient with educational level. The leading causes of death with the highest relative index of inequality ratios were HIV disease (9.81 in women and 11.61 in men), diabetes in women (4.02) and suicide in men (3.52). The leading causes of death that contribute most to the absolute inequality in mortality are cardiovascular diseases (48.8%), respiratory diseases (9.3%) and diabetes mellitus (8.8%) in women, and cardiovascular diseases (20.8%), respiratory diseases (19.8%) and cancer (19.6%) in men. CONCLUSIONS: Although the causes of death with the strongest gradient in mortality rate are HIV disease in both sexes, diabetes mellitus in women and suicide in men, most of the absolute education-related inequalities in total mortality are due to cardiovascular diseases, respiratory diseases and diabetes mellitus in women and to cardiovascular diseases, respiratory diseases and cancer in men.