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1.
Diabet Med ; 36(7): 878-887, 2019 07.
Artigo em Inglês | MEDLINE | ID: mdl-30402961

RESUMO

AIM: Optimal treatment of cardiovascular disease is essential to decrease mortality among people with diabetes, but information is limited on how actual treatment relates to guidelines. We analysed changes in therapeutic approaches to anti-hypertensive and lipid-lowering medications in people with Type 2 diabetes from 2006 and 2015. METHODS: Summary data from clinical services in seven countries outside North America and Western Europe were collected for 39 684 people. Each site summarized individual-level data from outpatient medical records for 2006 and 2015. Data included: demographic information, blood pressure (BP), total cholesterol levels and percentage of people taking statins, anti-hypertensive medication (angiotensin-converting enzyme inhibitors, calcium channel blockers, angiotensin II receptor blockers, thiazide diuretics) and antiplatelet drugs. RESULTS: From 2006 to 2015, mean cholesterol levels decreased in six of eight sites (range: -0.5 to -0.2), whereas the proportion with BP levels > 140/90 mmHg increased in seven of eight sites. Decreases in cholesterol paralleled increases in statin use (range: 3.1 to 47.0 percentage points). Overall, utilization of anti-hypertensive medication did not change. However, there was an increase in the use of angiotensin II receptor blockers and a decrease in angiotensin-converting enzyme inhibitors. The percentage of individuals receiving calcium channel blockers and aspirin remained unchanged. CONCLUSIONS: Our findings indicate that control of cholesterol levels improved and coincided with increased use of statins. The percentage of people with BP > 140/90 mmHg was higher in 2015 than in 2006. Hypertension treatment shifted from using angiotensin-converting enzyme inhibitors to angiotensin II receptor blockers. Despite the potentially greater tolerability of angiotensin II receptor blockers, there was no associated improvement in BP levels.


Assuntos
Anti-Hipertensivos/uso terapêutico , Diabetes Mellitus Tipo 2/tratamento farmacológico , Angiopatias Diabéticas/tratamento farmacológico , Dislipidemias/tratamento farmacológico , Inibidores de Hidroximetilglutaril-CoA Redutases/uso terapêutico , Hipertensão/tratamento farmacológico , Idoso , Diabetes Mellitus Tipo 2/epidemiologia , Diabetes Mellitus Tipo 2/fisiopatologia , Angiopatias Diabéticas/epidemiologia , Angiopatias Diabéticas/fisiopatologia , Dislipidemias/epidemiologia , Dislipidemias/fisiopatologia , Europa (Continente)/epidemiologia , Feminino , Inquéritos Epidemiológicos , Humanos , Masculino , Pessoa de Meia-Idade , América do Norte/epidemiologia
2.
QJM ; 109(7): 443-446, 2016 Jul.
Artigo em Inglês | MEDLINE | ID: mdl-26527773

RESUMO

With the obesity epidemic, and the effects of aging populations, human phenotypes have changed over two generations, possibly more dramatically than in other species previously. As obesity is an important and growing hazard for population health, we recommend a systematic evaluation of the optimal measure(s) for population-level excess body fat. Ideal measure(s) for monitoring body composition and obesity should be simple, as accurate and sensitive as possible, and provide good categorization of related health risks. Combinations of anthropometric markers or predictive equations may facilitate better use of anthropometric data than single measures to estimate body composition for populations. Here, we provide new evidence that increasing proportions of aging populations are at high health-risk according to waist circumference, but not body mass index (BMI), so continued use of BMI as the principal population-level measure substantially underestimates the health-burden from excess adiposity.


Assuntos
Adiposidade/fisiologia , Envelhecimento/fisiologia , Índice de Massa Corporal , Doenças Cardiovasculares/diagnóstico , Síndrome Metabólica/diagnóstico , Relação Cintura-Quadril/métodos , Doenças Cardiovasculares/fisiopatologia , Doenças Cardiovasculares/prevenção & controle , Comorbidade , Nível de Saúde , Humanos , Síndrome Metabólica/fisiopatologia , Síndrome Metabólica/prevenção & controle , Valor Preditivo dos Testes , Padrões de Referência , Fatores de Risco
3.
Int J STD AIDS ; 26(2): 133-8, 2015 Feb.
Artigo em Inglês | MEDLINE | ID: mdl-24700199

RESUMO

Obesity is a risk factor for osteoarthritis. Antiretroviral therapy (ART)-treated HIV-infected patients are frequently affected by overweight and obesity, and may be at increased risk of osteoarthritis. BMI however is a measure which does not discriminate adipose from non-adipose body mass, or fat distribution, which may have different effects. This study aimed to examine relationships between body composition and knee cartilage volume, as assessed by magnetic resonance imaging in HIV infection. 35 ART-treated HIV-infected men aged 51.7 years (mean) 7.9 (SD) and 18 healthy men aged 49.5 years (mean) 6.4 (SD) participated. Cartilage volume was measured on magnetic resonance imaging of the dominant knee using validated methods. Body composition was measured using dual x-ray absorptiometry. HIV-infected participants had less total body and gynoid fat (kg) (p = 0.04 and p = 0.007, respectively) and more percent android fat mass and percent trunk fat mass (p = 0.001 and p < 0.001, respectively) than controls. In HIV-infected participants there was an inverse association between total body fat mass and average tibial cartilage volume (R = -8.01, 95% CI -15.66, -0.36). Also, in HIV-infected participants there was an inverse association between android fat mass and average cartilage volume (R = -90.91, 95% CI -158.66, -23.16). This preliminary study found that both total body and android fat mass were inversely related to average knee cartilage volume in ambulant, ART-treated HIV-infected adults. These findings are features of early knee osteoarthritis and this may be of future significance in HIV.


Assuntos
Composição Corporal , Cartilagem Articular/patologia , Articulação do Joelho/patologia , Obesidade/complicações , Osteoartrite do Joelho/patologia , Absorciometria de Fóton , Tecido Adiposo , Índice de Massa Corporal , Estudos de Casos e Controles , Humanos , Articulação do Joelho/anatomia & histologia , Imageamento por Ressonância Magnética , Masculino , Pessoa de Meia-Idade , Obesidade/fisiopatologia , Fatores de Risco
4.
Diabet Med ; 30(4): 421-7, 2013 Apr.
Artigo em Inglês | MEDLINE | ID: mdl-23088496

RESUMO

AIMS: A very limited number of prospective studies have reported conflicting data on the relation between heart rate and diabetes risk. Our aim therefore was to determine in a large, national, population-based cohort if heart rate predicts the development of diabetes. METHODS: The Australian Diabetes Obesity and Lifestyle study followed up 6537 people over 5 years. Baseline measurements included questionnaires, anthropometrics and blood and urine collection. Heart rate was recorded in beats per min (Dinamap). An oral glucose tolerance test was performed at baseline and follow-up, and diabetes was defined using World Health Organization criteria. RESULTS: A total of 5817 participants were eligible for analysis, 221 of whom developed diabetes. Compared with participants with a heart rate < 60 b min(-1), those with a heart rate ≥ 80 b min(-1) were more likely to develop diabetes (odds ratio 1.89, 95% CI 1.07-3.35) over 5 years, independent of traditional risk factors. This relationship was highly significant, particularly in non-obese men (odds ratio 5.61, 95% CI 1.75-17.98), but not in their obese counterparts or in women. CONCLUSIONS: Resting heart rate is associated with an increased risk of diabetes over a 5-year period, particularly among non-obese men. This suggests that sympathetic overactivity may be a contributing factor to the development of diabetes, and that resting heart rate may be useful in predicting risk of Type 2 diabetes in non-obese men.


Assuntos
Diabetes Mellitus Tipo 2/etiologia , Frequência Cardíaca/fisiologia , Adulto , Idoso , Diabetes Mellitus Tipo 2/epidemiologia , Diabetes Mellitus Tipo 2/fisiopatologia , Métodos Epidemiológicos , Feminino , Teste de Tolerância a Glucose , Humanos , Masculino , Pessoa de Meia-Idade , Obesidade/epidemiologia , Obesidade/fisiopatologia , Fatores Sexuais , Vitória/epidemiologia
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