Effects of different diets on glycemic control among patients with type 2 diabetes: A literature review.

Background: Globally, type 2 diabetes mellitus (T2DM) is one of the most common diseases, and the incidence is gradually increasing. Diet management could improve the elevated HbA1c levels. Aim: This review aims to examine the effects of different types of diets on glycemic control in patients with T2DM. Methods: PubMed and Google scholar databases were searched. Reports published from the years 1991 to 2021 that focused on the effect of different diets on diabetes control were selected. Results: All the studies reported that the type of diet can affect insulin secretion and glycemic control in patients with diabetes. The recommended macronutrient distribution for patients with diabetes is 30% of fat, 45-60% of carbohydrates, and 15-35% of protein. Consuming more or less of these macronutrients may lead to changes in glucose metabolism and may affect insulin secretion. In fact, following alow-fat diet improves glycemic control and decreases HbA1c levels. Studies reported that a low-carbohydrate diet had the greatest effect on improving glycemic control and insulin parameters. A low-calorie diet reduced fasting plasma glucose, while a very low-calorie diet resulted in a long-term decrease in HbA1c level. A healthy diet free of processed foods and sugar, and rich in nutrients such as fiber, vitamins, and minerals contributed to maintaining controlled blood sugar and lipid plasma levels. Although studies show a low-salt diet improves blood pressure, which is common inT2DM, other findings show that restricting salt intake is associated with increased sugar consumption. Conclusion: Healthy diet with adequate intake of energy and low-fat and low-sugar foods can enhance the glycemic control and reduce T2DM complications.

Increased Incidence of Precocious Puberty in Girls During COVID-19 Pandemic: Early Indicator of the Upcoming Childhood Metabolic Syndrome Pandemic?

To evaluate retrospectively the incidence of central precocious puberty (CPP) during the COVID 19 lockdown and comparing the data with the corresponding data from the previous 2 years. The study included 23 girls with CPP and 14 patients with early puberty. Nineteen patients were newly diagnosed with CPP compared to 4 patients diagnosed with CPP during the previous 2 years. The number of new patients diagnosed with CPP was significantly higher than the mean during the previous 2 years (P < .001). There were more overweight patients with CPP during and after the lockdown (P < .05). These patients had also increased uterus length (P < .05) and more advanced bone age (P < .05). The increase in the incidence of central precocious puberty during and after the lockdown due to COVID 19 can be considered a serious consequence of the increased fat mass and an early indicator of the worsening of childhood obesity.

Association of Glycemic Control With Different Diets Followed by Patients With Type 2 Diabetes: Findings From Qatar Biobank Data.

Background: Diabetes mellitus type 2 (T2DM) is one of the most common diseases worldwide. Unhealthy dietary habits may lead to T2DM, which is also influenced by the extent of education and knowledge of appropriate diets for this disease. Aim: This study aims to highlight the possible association between following different types of diet (low-fat diet, low-calorie diet, low-salt diet, and more than one diet) and glycemic control among Qatari and long-term resident patients with T2DM. Methods: This study is secondary data analysis. Qatar Biobank (QBB) data on 2448 T2DM patients aged 18-60 years were obtained. The first group included participants with HbA1C <7%, while the second included those with HbA1c ≥ 7%. Results: The results of the association of glycemic control with different diets followed by patients with type 2 diabetes were adjusted in four models. In the 4th model (adjusted for gender, age, sociodemographic, anthropometric, dietary habits, comorbidities, and medications), results showed that poor patients with poor glycemic control have higher odds [OR 1.90; CI (1-3.63)] of following a low-salt diet. The same observation was found in the low-fat diet [OR 1.73; CI (1.06-3.07)]. However, patients following more than one diet showed lower odds of having poor glycemic control for about 32% [OR.69; CI (0.48-0.98)]. Conclusion: Diet and lifestyle are vital factors that can affect HbA1C levels. The findings of this secondary analysis showed that better glycemic control of the patients was observed in patients following more than diet from the studied diets.

Sleeping Duration, Napping and Snoring in Association with Diabetes Control among Patients with Diabetes in Qatar.

BACKGROUND: Poor glycemic control is associated with chronic life-threatening complications. Several studies have revealed that sleep status is associated with glycemic control. AIM: to examine the association between sleep duration, quality and glycemic control among adults with diabetes. METHODS: Data on 2500 participants aged 18-60 years were collected from the Qatar Biobank (QBB). Sleep duration and quality were assessed by a self-completed health and lifestyle questionnaire, and glycemic control was assessed using HbA1c. Logistic regression was used to assess the association between sleep duration, napping, snoring and poor glycemic control. RESULTS: After adjusting for age and gender, sleep duration was not associated with poor glycemic control. Lack of association persisted after controlling for smoking, physical activity, education, BMI, fruit and vegetable intake, insulin and medication use. However, sleeping for long hours at night (≥8 h) had a trend in increasing the risk of poor glycemic control (OR = 1.28; 95% CI: 0.94-1.74). Napping was positively associated with poor glycemic control. After adjusting for age and gender, patients who reported "sometimes, frequently, or always" napping had more than 30% increased risk of poor control as compared to patients who reported "never/rarely" napping. Snoring was not associated with poor glycemic control among the study sample when adjusted for age and gender (p = 0.61). Other factors were found to be associated with a better glycemic control such as female, high educational and high physical activity level. CONCLUSIONS: our results suggest that napping may be an independent risk factor for a poor glycemic control in diabetes; further investigations are required.