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1.
BMC Geriatr ; 22(1): 872, 2022 11 17.
Artigo em Inglês | MEDLINE | ID: mdl-36384458

RESUMO

BACKGROUND: Aging of the world population is one of the most significant demographic changes of our time. Populations older than 60 years are heterogeneous, and age is an independent cardiovascular risk factor aggravated by frailty, obesity, and diabetes, and influenced by several factors, including sex and socioeconomic status. The objective of this study was to calculate cardiovascular risk in workers of both sexes over 60 years of age and to assess whether there are difference s by sex, social class, smoking, and type of job. METHODS: A cross-sectional study was carried out in 15,057 elderly Spanish workers from different autonomous communities in Spain and with different labor occupations. Anthropometric, sociodemographic, clinical, and laboratory values were determined. People were classified according to age from 60 to 64 years inclusive and from 65 to 69 years, smokers and non-smokers, and both blue-collar and white-collar workers. Subsequently, a multivariate analysis was carried out. RESULTS: Men, blue-collar workers, smokers, and aging were factors that influenced cardiovascular risk: with an OR of 3.27 (95% CI: 2.64-4.05) in people 65 years of age or older versus the younger group, and an OR of 3.15 (95% CI: 2.69-3.69) in smokers versus non-smokers. A stronger independent association was found between smoking, age, and cardiovascular risk. The risk of developing non-alcoholic fatty liver and liver fibrosis was much higher in men than in women, with an OR of 4.06 (95% CI: 3.66-4.50) for the former and an OR of 2.10 (95% CI: 1.95-2.26) for the BARD index. CONCLUSIONS: The highest risk groups were observed in male subjects with a history of smoking and blue-collar workers and, as such, should be considered for cardiovascular risk screening programs.


Assuntos
Doenças Cardiovasculares , Uso de Tabaco , Humanos , Masculino , Feminino , Idoso , Pessoa de Meia-Idade , Estudos Transversais , Fumar/efeitos adversos , Fumar/epidemiologia , Ocupações , Doenças Cardiovasculares/diagnóstico , Doenças Cardiovasculares/epidemiologia
2.
Sci Rep ; 12(1): 15486, 2022 09 15.
Artigo em Inglês | MEDLINE | ID: mdl-36109524

RESUMO

There is no definition for the metabolic syndrome; visceral obesity, elevated lipids and glucose, and hypertension coexist. The aim of the study is to determine which anthropometric indicators best determine it. Cross-sectional study in 418,343 Spanish workers. Metabolic syndrome was determined using the NCEP-ATPIII, IDF and JIS criteria. The anthropometric variables studied were: body mass index, waist circumference, waist-to-height ratio, CUNBAE, Deuremberg formula, body fat index, body surface index, normalized weight adjusted index, body roundness index, body shape index, visceral adiposity index (VAI), dysfunctional adiposity index, conicity index, metabolic score for visceral fat (METS-VF), waist triglyceride index. In men, the anthropometric indices with the largest areas under the ROC curve are VAI with ATPIII criteria and JIS. If we use the IDF criteria: waist circumference and METS-VF, with the same result. In women, the largest areas under the curve were observed with the Deuremberg formula in both ATPIII and JIS while with the IDF criteria it is METS-VF. The most useful anthropometric indices for identifying metabolic syndrome are CUN-BAE and Deuremberg, followed by the VAI. A single definition of metabolic syndrome should be agreed to determine the best anthropometric index with predictive capacity for its diagnosis.


Assuntos
Síndrome Metabólica , Obesidade Abdominal , Adiposidade , Adulto , Estudos Transversais , Feminino , Glucose , Humanos , Lipídeos , Masculino , Síndrome Metabólica/diagnóstico , Obesidade Abdominal/diagnóstico , Fatores de Risco , Triglicerídeos , Razão Cintura-Estatura
3.
An. sist. sanit. Navar ; 45(1): e0977, enero-abril 2022. tab, graf
Artigo em Espanhol | IBECS | ID: ibc-202907

RESUMO

Fundamento. La obesidad predispone a sufrir diabetes tipo 2 con tanta frecuencia que su combinación se denomina diabesidad. El objetivo de este estudio fue determinar la prevalencia de diabesidad en la población trabajadora y analizar las variables con las que se asocia. Material y métodos. Estudio transversal realizado entre enero de 2019 y junio de 2020 en 418.343 trabajadores de 18 a 67 años, de diferentes profesiones y áreas geográficas españolas. Se determinó la prevalencia de diabesidad con seis fórmulas diferentes para obesidad: IMC (índice de masa corporal), CUN BAE (Clínica Universidad de Navarra Body Adiposity Estimator), ECORE-BF (Equation Córdoba for Estimation of Body Fat), Fórmula Palafolls, IMG (índice de masa grasa) de Deuremberg y RFM (Relative Fat Mass). Se analizó la asociación entre diabesidad y edad, sexo, clase social y tabaco. Resultados. La prevalencia global de diabesidad osciló entre 2,6 % por el IMC y 5,8% por la fórmula Palafolls. La variable más relacionada con la diabesidad fue la edad mayor de 50 años (OR = 5,9; IC95%: 5,7-6,2 para IMC, y OR = 8,1; IC95%: 7,9-8,4 para IMG de Deuremberg). El sexo masculino y la clase social III se relacionaron con la diabesidad estimada con todas las escalas, ser fumador solo con la fórmula Palafolls. Conclusiones. La prevalencia de diabesidad varía en función de la fórmula empleada, con una prevalencia menor entre las mujeres y un aumento con la edad independientemente de la fórmula utilizada. Su prevalencia es mayor en las clases sociales más bajas.(AU)


Background. Obesity predisposes to type 2 diabetes so often that the combination is called diabesity. The aim of this study was to determine the prevalence of diabesity in the working population and to analyze the variables associated with it. Method. Cross-sectional study between January 2019 and June 2020 by 418,343 workers from 18 to 67 year-old, from different professions and Spanish geographic areas. The prevalence of diabesity was determined with six different formulae for obesity: BMI (body mass index), CUN BAE (Clínica Universidad de Navarra-Body Adiposity Estimator), ECORE-BF (Equation Córdoba for Estimation of Body Fat), Formula Palafolls, FMI (fat mass index) of Deuremberg and RFM (relative fat mass). The association between diabetes and age, sex, social class and tobacco was analyzed. Results. The global prevalence of diabetes ranged from 2.6% for BMI to 5.8% for the Palafolls formula. The variable most related to diabesity was age over 50 years (OR=5.9; 95%CI: 5.7-6.2 for BMI, and OR = 8.1; 95%CI: 7.9-8.4 for FMI of Deuremberg). Male sex and social class III related with diabesity estimated by all formulas, while being a smoker was only related with the Palafolls formula. Conclusion. Diabesity prevalence varies depending on the formula used, with much lower prevalence among women and increased with age independent of the formula used. Its prevalence is higher in the lower social classes.(AU)


Assuntos
Humanos , Adulto Jovem , Adulto , Pessoa de Meia-Idade , Idoso , Ciências da Saúde , Obesidade , Diabetes Mellitus , Doenças Cardiovasculares , Adulto Jovem , Adulto , Idoso
4.
An Sist Sanit Navar ; 45(1)2022 Apr 27.
Artigo em Espanhol | MEDLINE | ID: mdl-34750594

RESUMO

BACKGROUND: Obesity predisposes to type 2 diabetes so often that the combination is called diabesity. The aim of this study was to determine the prevalence of diabesity in the working population and to analyze the variables associated with it. METHOD: Cross-sectional study between January 2019 and June 2020 by 418,343 workers from 18 to 67 year-old, from different professions and Spanish geographic areas. The prevalence of diabesity was determined with six different for-mulae for obesity: BMI (body mass index), CUN BAE (Clínica Universidad de Navarra Body Adiposity Estimator), ECORE-BF (Equation Córdoba for Estimation of Body Fat), Formula Palafolls, FMI (fat mass index) of Deuremberg and RFM (relative fat mass). The association between diabetes and age, sex, social class and tobacco was analyzed. RESULTS: The global prevalence of diabetes ranged from 2.6% for BMI to 5.8% for the Palafolls formula. The variable most related to diabesity was age over 50 years (OR?=?5.9; 95%CI: 5.7-6.2 for BMI, and OR?=?8.1; 95%CI: 7.9-8.4 for FMI of Deuremberg). Male sex and social class III related with diabesity estimated by all formulas, while being a smoker was only related with the Palafolls formula. CONCLUSION: Diabesity prevalence varies depending on the formula used, with much lower prevalence among women and increased with age independent of the formula used. Its prevalence is higher in the lower social classes.


Assuntos
Diabetes Mellitus Tipo 2 , Adolescente , Adulto , Idoso , Estudos Transversais , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Obesidade/epidemiologia , Prevalência , Uso de Tabaco/epidemiologia , Adulto Jovem
5.
Prensa méd. argent ; 107(6): 299-306, 20210000. tab, fig
Artigo em Inglês | LILACS, BINACIS | ID: biblio-1359089

RESUMO

Introducción. El consumo de alcohol daña la mayoría de los órganos y sistemas de nuestro organismo, con un efecto nocivo sobre la diabetes tipo 2. En nuestro país, el consumo de alcohol es tolerado y socialmente bien considerado, lo que provoca que una parte importante de la población tenga una ingesta excesiva de alcohol. Por tanto, quisimos evaluar el efecto de la ingesta excesiva de alcohol en la población trabajadora y su efecto sobre el riesgo de desarrollar diabetes tipo 2. Métodos. Estudio descriptivo y transversal en 55.147 trabajadores españoles en el que se evaluó el efecto del consumo excesivo de alcohol sobre el riesgo de desarrollar diabetes tipo 2. El riesgo de diabetes se evaluó con las escalas Findrisk y QDScore. El consumo de alcohol se evalúa con la unidad de bebida estándar, equivalente a 10 g de alcohol. Se considera consumo excesivo cuando se superan semanalmente 35 unidades de bebida estándar en hombres y 20 en mujeres. Resultados. El consumo excesivo de alcohol en comparación con no beber, beber poco o moderadamente aumenta el riesgo de diabetes tipo 2 en ambas escalas de riesgo. La razón de probabilidades es 12,22 (IC 95 11,51-12,99) para la escala Findrisk y 13,36 (IC 95% 12,04-14,69) para el riesgo relativo con QDScore. Conclusión. El consumo excesivo de alcohol aumenta el riesgo de diabetes tipo 2 con las escalas Findrisk y QDScore en la población laboral española


Introduction. Alcohol consumption damages most of the organs and systems of our organism, with a harmful effect on type 2 diabetes. In our country, alcohol consumption is tolerated and socially well regarded, which causes an important part of the population to have an excessive alcohol intake. Therefore, we want to evaluate the effect of excessive alcohol intake in the working population and its effect on the risk of developing type 2 diabetes. Methods. Descriptive and cross-sectional study in 55,147 Spanish workers in which the effect of excessive alcohol consumption on the risk of developing type 2 diabetes was assessed. Diabetes risk was assessed with the Findrisk and QDScore scales. Alcohol consumption is assessed with the standard drinking unit, equivalent to 10g of alcohol. Excessive consumption is considered when 35 standard drinking unit in men and 20 in women are exceeded weekly. Results. Heavy drinking compared to no, low or moderate drinking increases the risk of type 2 diabetes on both risk scales. The Odds ratio is 12.22 (CI 95 11.51-12.99) for the Findrisk scale and 13.36 (CI 95% 12.04-14.69) for the relative risk with QDScore. Conclusion. Excessive alcohol consumption increases the risk of type 2 diabetes with the Findrisk and QDScore scales in the Spanish working population


Assuntos
Humanos , Consumo de Bebidas Alcoólicas/efeitos adversos , Medição de Risco , Diabetes Mellitus/diagnóstico , Diabetes Mellitus Tipo 2/diagnóstico , Consumo Excessivo de Bebidas Alcoólicas/complicações , Categorias de Trabalhadores
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