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).
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.
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.
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.
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.
This study aimed to investigate whether different levels of fasting plasma glucose (FPG) and hemoglobin A1c (HbA1c) in prediabetes are associated with hyperfiltration.
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%.
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.
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.
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.
Highlights • A relationship between tobacco prices and smoking cessation has not been observed. • Low education women were the exception: quit ratio a fell with the price increase. • The smoke-free ...legislation altered the quit-ratio in the short term in all groups. • In subsequent years the quit-ratio declined except in high education men.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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