RESUMO
AIMS: The main aim of the current study was to measure physical activity, sedentary behaviors and sleep levels across the different seasons in people with type 1 diabetes in Kuwait. METHODS: A prospective cross-sectional study was conducted from August 2021 to September 2022. Physical activity and sleep metrics were measured over a 7-day period with a wrist-worn accelerometer (GENEActiv). Overall physical activity was measured as a Euclidean Norm Minus One in milli gravitational units (mg). Accelerometer metrics were compared across the seasons and between the sex. RESULTS: A total of 784 people with type 1 diabetes participated. Mean daily physical activity was 25.2 mg (SD = 7.3). Seasonal differences were seen in overall physical activity (p = 0.05), inactivity (p = 0.04), light activity (p = 0.001), the intensity gradient (p = 0.001) and sleep efficiency (p = 0.02). Poorer metrics were generally seen in Spring and Summer. Overall physical activity, moderate and vigorous physical activity, and inactivity were significantly higher in males compared to females (p ≤ 0.02). Females had a longer sleeping duration (p = 0.02), and higher sleep efficiency (p = 0.04) and light physical activity (p = 0.01). Overall physical activity and the intensity gradient were negatively associated with HbA1c (both p = 0.01). CONCLUSIONS: Physical activity levels were generally low and sleep poor in people with type 1 diabetes in Kuwait and these varied by sex and season. The current data are useful to target and develop interventions to improve physical activity and glycemic control.
Assuntos
Diabetes Mellitus Tipo 1 , Exercício Físico , Estações do Ano , Comportamento Sedentário , Sono , Humanos , Diabetes Mellitus Tipo 1/epidemiologia , Masculino , Feminino , Estudos Transversais , Estudos Prospectivos , Adulto , Kuweit/epidemiologia , Sono/fisiologia , Seguimentos , Prognóstico , Pessoa de Meia-Idade , Acelerometria , Adulto Jovem , Biomarcadores/análiseRESUMO
BACKGROUND: Fructose is distinct among common sugars in its ability to raise serum uric acid, and some studies suggest fructose-induced uric acid production may have a role in the ability of this sugar to induce metabolic syndrome. A fructose tolerance test has been previously developed to evaluate the relative ability of fructose to raise uric acid in individuals. However, the effect of fructose to raise uric acid in people with diabetes has not been studied. METHODS: People with type 2 diabetes (n = 143) and without diabetes controls (n = 132) with similar body mass index (BMI) underwent an oral fructose tolerance test. As a comparison, participants also had their uric acid levels measured after an oral glucose tolerance test on a different day. RESULTS: Serum uric acid was lower in people with type 2 diabetes compared to controls with a similar BMI, especially those with poor glucose control (glycosylated hemoglobin [HbA1c] ≥ 8%). Fructose administration raised serum uric acid in both groups, with a lower absolute rise in people with diabetes. People with diabetes with a blunted rise in serum uric acid had higher baseline serum uric acid concentrations and a higher BMI. People without diabetes with a higher BMI also showed a blunted serum uric acid response. Oral glucose administration lowered serum uric acid in both participants, with a greater fall in those with diabetes. CONCLUSION: Both the presence of diabetes and obesity blunt the serum uric acid response to fructose ingestion. These data demonstrate altered fructose-dependent urate metabolism in type 2 diabetes.