Carolina Giráldez-García

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).

BackgroundPrediabetes 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.MethodsCohort 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.ResultsAbdominal 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).ConclusionsObesity, 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.

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.

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

AbstractIt 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.

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.

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

BackgroundAn 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.MethodsObservational 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.ResultsIn 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.ConclusionThe 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

Fundamentos: Las estimaciones sobre desigualdades socioeconomicas en mortalidad a partir de registros individuales de defunciones y poblacion son escasas y proceden unicamente de la la ciudad de Barcelona, la Comunidad de Madrid y el Pais Vasco. El objetivo del presente estudio fue mostrar el patron geografico de mortalidad en diferentes grupos socioeconomicos, asi como el de las desigualdades en mortalidad en el conjunto del territorio espanol. Metodos: Se realizo el seguimiento de todos los individuos mayores de 25 anos del censo de poblacion 2001 durante siete anos y dos meses para conocer su estado vital (196.470.401 personas-ano a riesgo y 2.379.558 defunciones). Se calculo 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 razon 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 mas bajas -entre 1,06 y 1,16- se observaron Palencia, Segovia, Guadalajara y Avila. Las mas altas -entre 1,53 y 1,75- en Malaga, Las Palmas, Ceuta, Toledo y Melilla. En hombres, las razones de tasas mas bajas -entre 1,00 y 1,12- se observan en Guadalajara, Teruel, Cuenca, La Rioja y Avila y las mas altas -entre 1,47 y 1,73- en Las Palmas, Cantabria, Murcia, Melilla y Ceuta. Conclusiones: El patron geografico de las tasas de mortalidad en Espana varia segun el nivel educativo. Las desigualdades en mortalidad muestran menor magnitud en las provincias del centro peninsular.

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.

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

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.

Desigualdades en mortalidad prematura según indicadores de bienestarmaterial en Navarra. Estudio poblacional de seguimiento 2001-2008

BACKGROUND To show the inequalities in premature mortality according to indicators of material welfare in Navarre. METHODS All citizens under 75 years of age living in Navarre in 2001 were monitored for seven years to determine their vital status. House size and number of household vehicles was used as the socioeconomic status indicator. The age-adjusted total mortality rate and mortality rate from cause-specific mortality were estimated by these indicators. RESULTS The rate ratio for all causes of death in the lower categories depending on house size is 1.14 (IC 95%: 1.05-1.24) and 1.25 (IC 95%: 1.18-1.32) in women and men respectively and 1.46 (IC 95%: 1.36-1.57) and 1.97 (IC 95%: 1.89-2.05) depending on the number of vehicles. AIDS is the leading cause of death having a greater difference in mortality rates among people with lower and higher material welfare. Other causes of death with a high difference in mortality rates are digestive diseases and diabetes mellitus in women and digestive diseases and respiratory diseases in men. CONCLUSIONS The mortality rate in the Navarre population shows an inverse gradient to material welfare,except for some cancer sites. This gradient is higher among men than among women.BACKGROUND To show the inequalities in premature mortality according to indicators of material welfare in Navarre. METHODS All citizens under 75 years of age living in Navarre in 2001 were monitored for seven years to determine their vital status. House size and number of household vehicles was used as the socioeconomic status indicator. The age-adjusted total mortality rate and mortality rate from cause-specific mortality were estimated by these indicators. RESULTS The rate ratio for all causes of death in the lower categories depending on house size is 1.14 (IC 95%: 1.05-1.24) and 1.25 (IC 95%: 1.18-1.32) in women and men respectively and 1.46 (IC 95%: 1.36-1.57) and 1.97 (IC 95%: 1.89-2.05) depending on the number of vehicles. AIDS is the leading cause of death having a greater difference in mortality rates among people with lower and higher material welfare. Other causes of death with a high difference in mortality rates are digestive diseases and diabetes mellitus in women and digestive diseases and respiratory diseases in men. CONCLUSIONS The mortality rate in the Navarre population shows an inverse gradient to material welfare,except for some cancer sites. This gradient is higher among men than among women.

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 Spains 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.