1.
Association Between Prediabetes and Erectile Dysfunction: A Meta-Analysis.
Jin, M, Yuan, S, Wang, B, Yi, L, Wang, C
Frontiers in endocrinology. 2021;12:733434
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Erectile dysfunction (ED) is a common sexual dysfunction in men, which is defined as the failure to achieve or maintain an erection for satisfactory sexual intercourse. Besides aging, diabetes mellitus has also been recognised as a major risk factor for ED. The aim of this study was to systematically evaluate the association between prediabetes and ED. This study is a meta-analysis of nine observational studies, including five matched case-control studies and four cross-sectional studies. Results show that compared to men with normoglycemia, those with prediabetes were associated with higher prevalence of ED. Further subgroup analysis showed that mean age of the male participants in each study may affect the results as the association between prediabetes and ED seemed to be stronger in studies with younger men (mean age <50 years) than that in studies with older men (mean age ≥50 years). Authors conclude that prediabetes is associated with higher prevalence of ED, which may be independent of age of the males and may be stronger in young men.
Abstract
BACKGROUND Diabetes has been associated with the increased risk of erectile dysfunction (ED). However, previous studies evaluating the association between prediabetes and ED showed inconsistent results. We performed a meta-analysis of observational studies to systematically evaluate the above association. METHODS Relevant observational studies were retrieved by search of PubMed, Embase, and Web of Science databases. A random-effect model which incorporated the potential intra-study heterogeneity was used for the meta-analysis. Subgroup analyses were performed to evaluate the influences of study characteristics on the outcome. RESULTS Nine studies (five matched case-control studies and four cross-sectional studies) were included. Age were adjusted or matched in all of the studies. Pooled results showed that compared to men with normoglycemia, men with prediabetes were associated with higher prevalence of ED (odds ratio = 1.62, 95% confidence interval: 1.28 to 2.07, P < 0.001; I2 = 78%). Subgroup analyses showed that the association was not significantly affected by definition of prediabetes, diagnostic tool for ED, or controlling of additional variables besides age (both P for subgroup difference > 0.05). However, the association between prediabetes and ED seemed to be stronger in case-control studies than that in cross-sectional studies, and in studies with younger men (mean age < 50 years) than in those with older men (mean age ≥ 50 years; both P for subgroup difference < 0.05). CONCLUSIONS Prediabetes is associated with higher prevalence of ED, which may be independent of age of the males and may be stronger in young men.
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Comparison of the Effectiveness of Lifestyle Modification with Other Treatments on the Incidence of Type 2 Diabetes in People at High Risk: A Network Meta-Analysis.
Yamaoka, K, Nemoto, A, Tango, T
Nutrients. 2019;11(6)
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The prevalence of diabetes has been increasing worldwide. The accompanying increase in the prevalence of diabetes-related complications and the occurrence of diabetes are likely to have a substantial impact on healthcare costs. The aim of the study was to compare the effectiveness of lifestyle modifications to other treatments for patients at high risk of type 2 diabetes. The study design is a systemic review of published literature and a network meta-analysis of data from each selected study. Forty-seven interventions were used for the analyses. The results of the meta-analysis highlight the efficacy of lifestyle modification in preventing the onset of type 2 diabetes in high-risk patients in comparison with standard treatment or placebo as well as other treatments. The proportion of patients with onset of type 2 diabetes in the intervention (lifestyle modification) group was approximately twice as low as compared to the control (standard intervention) group. Authors conclude that lifestyle modification is the superior treatment intervention among 12 treatments for the prevention of type 2 diabetes in high-risk individuals.
Abstract
BACKGROUND Many clinical trials have been conducted to verify the effects of interventions for prevention of type 2 diabetes (T2D) using different treatments and outcomes. The aim of this study was to compare the effectiveness of lifestyle modifications (LM) with other treatments in persons at high risk of T2D by a network meta-analysis (NMA). METHODS Searches were performed of PUBMED up to January 2018 to identify randomized controlled trials. The odds ratio (OR) with onset of T2D at 1 year in the intervention group (LM, dietary, exercise, or medication) versus a control group (standard treatments or placebo) were the effect sizes. Frequentist and Bayesian NMAs were conducted. RESULTS Forty-seven interventions and 12 treatments (20,113 participants) were used for the analyses. The OR in the LM was approximately 0.46 (95% CI: 0.33 to 0.61) times lower compared to the standard intervention by the Bayesian approach. The effects of LM compared to other treatments by indirect comparisons were not significant. CONCLUSIONS This meta-analysis further strengthened the evidence that LM reduces the onset of T2D compared to standard and placebo interventions and appears to be at least as effective as nine other treatments in preventing T2D.
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Postprandial Glucose Surges after Extremely Low Carbohydrate Diet in Healthy Adults.
Kanamori, K, Ihana-Sugiyama, N, Yamamoto-Honda, R, Nakamura, T, Sobe, C, Kamiya, S, Kishimoto, M, Kajio, H, Kawano, K, Noda, M
The Tohoku journal of experimental medicine. 2017;243(1):35-39
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Carbohydrate-restricted diets are prevalent not only in obese people but also in the general population to maintain appropriate body weight. The aim of the study was to investigate, through continuous glucose monitoring, whether carbohydrate restriction for one day in actual life could affect the subsequent blood glucose levels in healthy subjects. The study enrolled ten healthy volunteers (2 males and 8 females), who had normal haemoglobin A1c, with an age range between 20 years and 65 years. The participants wore a continuous glucose monitoring device and were given isoenergetic test meals for 4 consecutive days. Results show that after extreme restriction of carbohydrate, an influence on the blood glucose variability persisted for at least 24 hours in healthy subjects. The day after the low-carbohydrate/high-fat diet, the glucose fluctuation increased significantly when compared with the fluctuations on days after the ingestion of normal carbohydrate diet. Authors conclude that low carbohydrate/high-fat diets can induce increasing blood glucose fluctuations that last for at least all the following day and have adverse effects in daily life.
Abstract
Carbohydrate-restricted diets are prevalent not only in obese people but also in the general population to maintain appropriate body weight. Here, we report that extreme carbohydrate restriction for one day affects the subsequent blood glucose levels in healthy adults. Ten subjects (median age 30.5 years, BMI 21.1 kg/m2, and HbA1c 5.5%), wearing with a continuous glucose monitoring device, were given isoenergetic test meals for 4 consecutive days. On day 1, day 2 (D2), and day 4 (D4), they consumed normal-carbohydrate (63-66% carbohydrate) diet, while on day 3, they took low-carbohydrate/high-fat (5% carbohydrate) diet. The daily energy intake was 2,200 kcal for males and 1,700 kcal for females. On D2 and D4, we calculated the mean 24-hr blood glucose level (MEAN/24h) and its standard deviation (SD/24h), the area under the curve (AUC) for glucose over 140 mg/dL within 4 hours after each meal (AUC/4h/140), the mean amplitude of the glycemic excursions (MAGE), the incremental AUC of 24-hr blood glucose level above the mean plus one standard deviation (iAUC/MEAN+SD). Indexes for glucose fluctuation on D4 were significantly greater than those on D2 (SD/24h; p = 0.009, MAGE; p = 0.013, AUC/4h/140 after breakfast and dinner; p = 0.006 and 0.005, and iAUC/MEAN+SD; p = 0.007). The value of MEAN/24h and AUC/4h/140 after lunch on D4 were greater than those on D2, but those differences were not statistically significant. In conclusion, consumption of low-carbohydrate/high-fat diet appears to cause higher postprandial blood glucose on subsequent normal-carbohydrate diet particularly after breakfast and dinner in healthy adults.