scholarly journals Red Meat Intake and Glycemic and Insulinemic Risk Factors for Type 2 Diabetes: A Systematic Review and Meta-Analysis

2021 ◽  
Vol 5 (Supplement_2) ◽  
pp. 522-522
Author(s):  
Lisa Sanders ◽  
Meredith Wilcox ◽  
Kevin Maki
Keyword(s):  
Risk Factors ◽  
Systematic Review ◽  
Glucose Tolerance ◽  
Fasting Glucose ◽  
Meta Analysis ◽  
Postprandial Glucose ◽  
Red Meat ◽  
Meat Intake ◽  
Red Meat Intake

Abstract Objectives Results from observational studies have suggested an association of red meat intake with increased risk of type 2 diabetes (T2D).  However, results from randomized controlled trials (RCTs) have not shown clear evidence to support a mechanistic link between red meat intake and T2D risk factors.  The objective of this systematic review and meta-analysis was to evaluate the impact of red meat intake on markers of glucose tolerance, including fasting glucose and insulin, postprandial glucose and insulin, insulin sensitivity and glycated hemoglobin (HbA1c). Methods A systematic review and meta-analysis was conducted on RCTs evaluating the effect of red meat intake, compared to lower or no red meat intake, on markers of glucose tolerance in adults.  A search of PubMed yielded 17 relevant RCTs.  Pooled estimates were expressed as standardized mean differences (SMD) between the red meat intervention and the control intervention with less or no red meat. Results Compared to diets with little or no red meat intake, there was no significant impact of red meat intake on insulin sensitivity (SMD: −0.12; 95% CI: −0.43, 0.19), insulin resistance (SMD: 0.23; 95% CI: −0.22, 0.68), fasting glucose (SMD: 0.12; 95% CI: −0.06, 0.30), fasting insulin (SMD: 0.16; 95% CI: −0.10, 0.42) or HbA1c (SMD: 0.00; 95% CI: −0.42, 0.43).  Red meat intake modestly, but significantly, reduced postprandial glucose (SMD: −0.46; 95% CI: −0.77, −0.16; P < 0.003) compared to diets with little or no red meat intake in a small number of studies (n = 3).  However, there was no effect on postprandial insulin (SMD: −0.74; 95% CI: −1.64, 0.16). Conclusions The results of this meta-analysis suggest red meat intake does not impact several glycemic and insulinemic risk factors for T2D.  Thus, it is unclear whether there is a causal relationship with red meat intake and T2D risk or if other confounding lifestyle factors may be driving the observed association.  Further investigations are needed, particularly on other markers of glucose tolerance, such as pancreatic beta-cell function, to better understand whether a causal relationship exists between red meat intake and risk of T2D.  PROSPERO Registration:   CRD42020176059 Funding Sources This research was funded by Beef Checkoff.

scholarly journals Prevalence and Risk Factors of Depression in Chinese Patients With Type 2 Diabetes Mellitus: a Protocol of Systematic Review and Meta-analysis

2020 ◽  
Author(s):  
Xiaobo LIU ◽  
Chao Dong ◽  
Hong Jiang ◽  
Dongling Zhong ◽  
Yuxi Li ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Systematic Review ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Early Detection ◽  
Meta Analysis ◽  
Prevalence Of Depression ◽  
Associated Risk Factors

Abstract Background: The prevalence of type 2 diabetes mellitus (T2DM) is growing in China. Both physical and psychological complications occur along with the development of T2DM. The patients with depression account for a significant proportion of T2DM. Depressive symptoms interfere with blood glucose management, leading to poorer treatment outcome and even relate to the occurrence of other serious complications of T2DM population. Among these T2DM patients with depression, early detection and treatment is essential and effective. Knowledge of the current prevalence of depression in T2DM patients as well as associated risk factors may be meaningful for healthcare planning. Therefore, we plan to conduct a systematic review and meta-analysis to evaluate the Chinese prevalence of depression in T2DM and explore associated risk factors.Methods: We will search literatures recorded in MEDLINE/PubMed, EMBASE, the Cochrane Library, Chinese Biomedical Literature Database (CBM), China National Knowledge Infrastructure (CNKI), Chinese Science and Technology Periodical Database (VIP), and Wanfang database (Wanfang Data). The grey literatures and reference list will be manually searched. We will include population-based, cross-sectional surveys that investigated the Chinese prevalence of depression in T2DM or/and researched the possible risk factors. Two reviewers will screen studies, extract data and evaluate quality independently. We will assess inter-rater agreement between reviewers for study inclusion, data extraction, and study quality assessment using Kappa statistics. The primary outcome will be the pooled Chinese prevalence of depression in T2DM patients. The secondary outcome will contain the potential risk factors for depression in patients with T2DM. R software (version 3.6.1) and STATA software (version 12) will be used for data analysis.Discussion: This systematic review will provide comprehensive evidence of the Chinese prevalence and risk factors of depression in patients with T2DM. we expect to provide evidence basis for healthcare practitioners and policy makers to pay attention to the mental health of T2DM. Our data will highlight the need and importance of early detection and intervention for depression in patients with T2DM. Systematic review registration: PROSPERO CRD42020182979.

Prevalence and risk factors of fatigue in type 1 and type 2 diabetes: A systematic review and meta‐analysis

2021 ◽  
Author(s):  
Debby Syahru Romadlon ◽  
Faizul Hasan ◽  
Bayu Satria Wiratama ◽  
Hsiao‐Yean Chiu
Keyword(s):  
Risk Factors ◽  
Systematic Review ◽  
Type 2 Diabetes ◽  
Meta Analysis

scholarly journals Pharmacological and lifestyle interventions to prevent or delay type 2 diabetes in people with impaired glucose tolerance: systematic review and meta-analysis

BMJ ◽  
2007 ◽  
Vol 334 (7588) ◽  
pp. 299 ◽  
Author(s):  
Clare L Gillies ◽  
Keith R Abrams ◽  
Paul C Lambert ◽  
Nicola J Cooper ◽  
Alex J Sutton ◽  
...  
Keyword(s):  
Systematic Review ◽  
Type 2 Diabetes ◽  
Glucose Tolerance ◽  
Impaired Glucose Tolerance ◽  
Meta Analysis ◽  
Lifestyle Interventions

scholarly journals Red Meat Intake and Risk of Rheumatoid Arthritis: A Categorical and Dose-Response Meta-Analysis

2021 ◽  
Author(s):  
WeiWei Chen ◽  
Ke Liu ◽  
Qing Su ◽  
Xinxian Sang ◽  
Yihan Hu ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Dose Response ◽  
Observational Studies ◽  
Meta Analysis ◽  
Red Meat ◽  
High Dose ◽  
Case Control Studies ◽  
Meat Intake ◽  
Red Meat Intake ◽  
The Impact

Abstract Objective: Findings from previous observational studies on the association between red meat intake and risk of rheumatoid arthritis (RA) are inconsistent. Therefore, we aimed to evaluate the impact of red meat intake on the incidence of RA by meta-analysis.Methods: PubMed and Web of Science were searched for eligible observational studies regarding the association between red meat intake and the risk of RA until June 30, 2021. Risk estimates with corresponding 95% confidence interval (95% CI) were pooled. Subgroup analysis and meta-regression analysis were performed to explore the potential sources of heterogeneity. Sensitivity analysis and publication bias test were also carried out.Results: A total of eleven studies were selected, involving 4 cohort studies with 5 203 identified cases from 349 776 individuals and 7 case-control studies with 3 762 cases and 6 856 controls. The pooled risk estimate of RA risk was 0.94 (95% CI: 0.77 to 1.15) for ever versus non/occasional red meat intake, while high dose of red meat intake increased the risk of RA (OR: 1.26, 95% CI: 1.07 to 1.50) in the categorical meta-analysis. Dose-response meta-analysis suggested a non-linear dose-response relationship between red meat intake and RA (P=0.028). Red meat intake was found to be a risk factor of RA when the dose ranged from 96 to 166 g/day.Conclusion: High dose of red meat intake could increase the risk of RA. Mechanistic studies are warranted to clarify the aetiologic pathways through which high dose of red meat intake may promote RA.

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