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1.
J Diabetes Investig ; 10(3): 771-779, 2019 May.
Artigo em Inglês | MEDLINE | ID: mdl-30387292

RESUMO

AIMS/INTRODUCTION: Relationships between cardiometabolic risk and glycemia have rarely been studied in people under clinical evaluation and treatment for cardiometabolic risk and with prediabetes. We investigated relationships between glycemia and cardiometabolic risk factors in clinic participants with prediabetes. MATERIALS AND METHODS: This was a cross-sectional analysis of data collected at a center in Thailand. Clinic attendees were at high risk of diabetes or cardiovascular disease, with hemoglobin A1c (HbA1c) 39-<48 mmol/mol or fasting plasma glucose (FPG) 5.6-<7.0 mmol/L. The relationships between glycemia and cardiometabolic risk factors were explored. RESULTS: Of 357 participants, two or more insulin resistance-related metabolic disturbances were present in 84%; 61% took a statin and 75% an antihypertensive agent. Independently of age, sex, adiposity, medication use, possible non-alcoholic fatty liver disease and sex-glycemia interaction, neither FPG nor HbA1c were associated with variation in any other cardiometabolic risk factors. High-density lipoprotein cholesterol decreased with HbA1c in women (female-HbA1c interaction, P = 0.03) but, unexpectedly, increased with FPG in men (male-FPG interaction, P = 0.02). CONCLUSIONS: Overall, in Thai people treated for high cardiometabolic risk and with prediabetes defined by FPG and/or HbA1c, neither FPG nor HbA1c were associated with other cardiometabolic risk factors. However, according to sex, high-density lipoprotein cholesterol showed the expected relationship with glycemia in women, but the reverse in men.


Assuntos
Biomarcadores/sangue , Doenças Cardiovasculares/sangue , HDL-Colesterol/sangue , Hiperglicemia/sangue , Hipoglicemia/sangue , Síndrome Metabólica/sangue , Estado Pré-Diabético/sangue , Glicemia/análise , Doenças Cardiovasculares/epidemiologia , Estudos Transversais , Feminino , Seguimentos , Hemoglobinas Glicadas/análise , Humanos , Hiperglicemia/epidemiologia , Hipoglicemia/epidemiologia , Incidência , Masculino , Síndrome Metabólica/epidemiologia , Pessoa de Meia-Idade , Estado Pré-Diabético/fisiopatologia , Estado Pré-Diabético/prevenção & controle , Prognóstico , Fatores de Risco , Fatores Sexuais , Tailândia/epidemiologia
2.
Int J Epidemiol ; 41(2): 484-94, 2012 Apr.
Artigo em Inglês | MEDLINE | ID: mdl-22266094

RESUMO

BACKGROUND: Higher waist circumference and lower hip circumference are both associated with increased cardiovascular disease (CVD) risk, despite being directly correlated. The real effects of visceral obesity may therefore be underestimated when hip circumference is not fully taken into account. We hypothesized that adding waist and hip circumference to traditional risk factors would significantly improve CVD risk prediction. METHODS: In a population-based survey among South Asian and African Mauritians (n = 7978), 1241 deaths occurred during 15 years of follow-up. In a model that included variables used in previous CVD risk calculations (a Framingham-type model), the association between waist circumference and mortality was examined before and after adjustment for hip circumference. The percentage with an increase in estimated 10-year cumulative mortality of >25% and a decrease of >20% after waist and hip circumference were added to the model was calculated. RESULTS: Waist circumference was strongly related to mortality only after adjustment for hip circumference and vice versa. Adding waist and hip circumference to a Framingham-type model increased estimated 10-year cumulative CVD mortality by >25% for 23.7% of those who died and 15.7% of those censored. Cumulative mortality decreased by >20% for 4.5% of those who died and 14.8% of those censored. CONCLUSIONS: The effect of central obesity on mortality risk is seriously underestimated without adjustment for hip circumference. Adding waist and hip circumference to a Framingham-type model for CVD mortality substantially increased predictive power. Both may be important inclusions in CVD risk prediction models.


Assuntos
Gordura Abdominal , Obesidade/mortalidade , Circunferência da Cintura , Relação Cintura-Quadril , Adulto , África/etnologia , Ásia/etnologia , Causas de Morte , Modificador do Efeito Epidemiológico , Feminino , Humanos , Modelos Logísticos , Masculino , Pessoa de Meia-Idade , Vigilância da População , Modelos de Riscos Proporcionais , Medição de Risco , Fatores de Risco , Vitória/epidemiologia
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