Effects comparison between low glycemic index diets and high glycemic index diets on HbA1c and fructosamine for patients with diabetes: A systematic review and meta-analysis

2015 ◽  
Vol 9 (5) ◽  
pp. 362-369 ◽  
Author(s):  
Qiong Wang ◽  
Wei Xia ◽  
Zhigang Zhao ◽  
Huifeng Zhang
Keyword(s):  
Systematic Review ◽  
Glycemic Index ◽  
Meta Analysis ◽  
Patients With Diabetes ◽  
High Glycemic Index ◽  
Low Glycemic Index

scholarly journals Low-Glycemic Index Diets as an Intervention in Metabolic Diseases: A Systematic Review and Meta-Analysis

Nutrients ◽  
2022 ◽  
Vol 14 (2) ◽  
pp. 307
Author(s):  
Chunxiao Ni ◽  
Qingqing Jia ◽  
Gangqiang Ding ◽  
Xifeng Wu ◽  
Min Yang
Keyword(s):  
Systematic Review ◽  
Blood Glucose ◽  
Body Mass ◽  
Glycemic Index ◽  
Metabolic Diseases ◽  
Meta Analysis ◽  
Glycosylated Hemoglobin ◽  
The Body ◽  
Cochrane Library ◽  
Low Glycemic Index

We aimed to investigate the effects of a low-glycemic index (GI) diet on the body mass and blood glucose of patients with four common metabolic diseases by conducting a systematic review and meta-analysis of studies comparing a low-GI diet (LGID) and other types of diet. Search terms relating to population, intervention, comparator, outcomes, and study design were used to search three databases: PubMed, Embase, and the Cochrane Library. We identified 24 studies involving 2002 participants. Random-effects models were used for 16 studies in the meta-analysis and stratified analyses were performed according to the duration of the intervention. The systematic review showed that LGIDs slightly reduced body mass and body mass index (BMI) (p < 0.05). BMI improved more substantially after interventions of >24 weeks and there was no inter-study heterogeneity (I2 = 0%, p = 0.48; mean difference (MD) = −2.02, 95% confidence interval (CI): −3.05, −0.98). Overall, an LGID had superior effects to a control diet on fasting blood glucose (FBG) and glycosylated hemoglobin. When the intervention exceeded 30 days, an LGID reduced FBG more substantially (MD = −0.34, 95% CI: −0.55, −0.12). Thus, for patients with metabolic diseases, an LGID is more effective at controlling body mass and blood glucose than a high-GI or other diet.

scholarly journals Comparative Effect of Low-Glycemic Index versus High-Glycemic Index Breakfasts on Cognitive Function: A Systematic Review and Meta-Analysis

Nutrients ◽  
2019 ◽  
Vol 11 (8) ◽  
pp. 1706
Author(s):  
Celia Álvarez-Bueno ◽  
Vicente Martínez-Vizcaíno ◽  
Estela Jiménez López ◽  
María Eugenia Visier-Alfonso ◽  
Andrés Redondo-Tébar ◽  
...  
Keyword(s):  
Systematic Review ◽  
Cognitive Function ◽  
Children And Adolescents ◽  
Glycemic Index ◽  
Meta Analysis ◽  
Cochrane Central Register ◽  
Immediate Memory ◽  
Memory And Attention ◽  
Cochrane Database ◽  
High Glycemic Index

This systematic review and meta-analysis aims to compare the effect of High-Glycemic Index (GI) versus Low-GI breakfasts on cognitive functions, including memory and attention, of children and adolescents. We systematically searched the MEDLINE (via PubMed), EMBASE, Cochrane Central Register of Controlled Trials, Cochrane Database of Systematic Reviews, and Web of Science databases, from their inception until June 2019. Articles comparing the effect of Low-GI versus High-GI breakfasts on the cognitive function (i.e., immediate memory, delayed memory, and attention) of children and adolescents were included. The DerSimonian and Laird method was used to compute the pooled effect sizes (ESs) and their respective 95% confidence intervals (CIs). The pooled ESs were 0.13 (95% CI: −0.11, 0.37) for immediate memory and 0.07 (95% CI: −0.15, 0.28) for delayed memory. For attention, the pooled ES was −0.01 (95% CI: −0.27, 0.26). In summary, GI breakfasts do not affect cognitive domains in children and adolescents.

Effect of Low-Glycemic Index/Load Diets on Body Weight: A Systematic Review and Meta-Analysis of Randomized Controlled TrialsImage 8

2016 ◽  
Vol 40 (5) ◽  
pp. S14 ◽  
Author(s):  
Catherine R. Braunstein ◽  
Sonia Blanco Mejia ◽  
Elena Stoiko ◽  
Jarvis C. Noronha ◽  
Vivian Choo ◽  
...  
Keyword(s):  
Systematic Review ◽  
Body Weight ◽  
Glycemic Index ◽  
Meta Analysis ◽  
Randomized Controlled ◽  
Low Glycemic Index

scholarly journals Low Glycemic Index Diets on Long‐term Blood Pressure Control: A Systematic Review and Meta‐analysis

2013 ◽  
Vol 27 (S1) ◽  
Author(s):  
Arash Mirrahimi ◽  
Erika Reiser ◽  
Laura Chiavaroli ◽  
John L Sievenepiper ◽  
Russell J Souza ◽  
...  
Keyword(s):  
Systematic Review ◽  
Blood Pressure ◽  
Blood Pressure Control ◽  
Glycemic Index ◽  
Meta Analysis ◽  
Pressure Control ◽  
Low Glycemic Index

Effects of wearable technology on patients with diabetes: A systematic review and meta-analysis (Preprint)

2020 ◽  
Author(s):  
Dongjun Wu ◽  
Nicholas Buys ◽  
Guandong Xu ◽  
Jing Sun
Keyword(s):  
Systematic Review ◽  
Blood Pressure ◽  
Relapse Prevention ◽  
Diabetes Management ◽  
Meta Analysis ◽  
Intervention Group ◽  
Wearable Technologies ◽  
Patients With Diabetes ◽  
Hba1c Levels

UNSTRUCTURED Aims: This systematic review and meta-analysis aimed to evaluate the effects of wearable technologies on HbA1c, blood pressure, body mass index (BMI), and fastening blood glucose (FBG) in patients with diabetes. Methods: We searched PubMed, Scopus, Embase, the Cochrane database, and the Chinese CNKI database from last 15 years until August 2021. The quality of the 16 included studies was assessed using the PEDro scale, and random effect models were used to estimate outcomes, with I2 used for heterogeneity testing. Results: A significant reduction in HbA1c (-0.475% [95% CI -0.692 to -0.257, P<0.001]) was found following telemonitoring. However, the results of the meta-analysis did not show significant changes in blood pressure, BMI, and glucose, in the intervention group (P>0.05), although the effect size for systolic blood pressure (0.389) and diastolic blood pressure may indicate a significant effect. Subgroup analysis revealed statistically significant effects of wearable technologies on HbA1c when supported by dietetic interventions (P<0.001), medication monitoring (P<0.001), and relapse prevention (P<0.001). Online messages and telephone interventions significantly affected HbA1c levels (P<0.001). Trials with additional online face-to-face interventions showed greater reductions in HbA1c levels. Remote interventions including dietetic advice (P<0.001), medication (P<0.001), and relapse prevention (P<0.001) during telemonitoring showed a significant effect on HbA1c, particularly in patients attending ten or more intervention sessions (P<0.001). Conclusion: Wearable technologies can improve diabetes management by simplifying self-monitoring, allowing patients to upload their live measurement results frequently and thereby improving the quality of telemedicine. Wearable technologies also facilitate remote medication management, dietetic interventions, and relapse prevention.

scholarly journals Glycemic Index of Gluten-Free Bread and Their Main Ingredients: A Systematic Review and Meta-Analysis

Foods ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 506
Author(s):  
Bernardo Romão ◽  
Ana Luísa Falcomer ◽  
Gabriela Palos ◽  
Sandra Cavalcante ◽  
Raquel Braz Assunção Botelho ◽  
...  
Keyword(s):  
Systematic Review ◽  
Glycemic Index ◽  
Resistant Starch ◽  
Web Of Science ◽  
Meta Analysis ◽  
Gluten Free ◽  
Inclusion Criteria ◽  
Glycemic Profile

This study aimed to perform a systematic review and meta-analysis of the glycemic index (GI) of gluten-free bread (GFB) and its main ingredients. The systematic review followed PRISMA guidelines, using seven electronic databases (PubMed, EMBASE, Scopus, Science Direct, Web of Science, gray literature research with Google Scholar, and patents with Google Patent tool), from inception to November 2020. Eighteen studies met the inclusion criteria evaluating 132 GFB samples. Five articles tested GI in vivo, eleven in vitro; and two studies tested both methods. The analysis showed that 60.7% (95% CI: 40.2–78.1%) of the samples presented high glycemic indexes, evidencing a high glycemic profile for GFB. Only 18.2% (95% CI: 11.7–27.2%) of the bread samples presented in the studies were classified as a low GI. Meta-analysis presented moderate/low heterogenicity between studies (I2 = 61% and <1% for both high and low GIs) and reinforced the proportion of high GIs. Lower GIs were found in formulations based on Colocasia esculenta flour or enriched with fiber, yogurt and curd cheese, sourdough, psyllium, hydrocolloids, enzymes, fructans, and resistant starch, highlighting the efficacy of these ingredients to lower GFBs’ GI. GFB tends to present high GI, impacting the development of chronic diseases when consumed.

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