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Meta-Analysis
. 2019 Feb 1;109(2):297-314.
doi: 10.1093/ajcn/nqy236.

The effect of nuts on markers of glycemic control: a systematic review and meta-analysis of randomized controlled trials

Affiliations
Meta-Analysis

The effect of nuts on markers of glycemic control: a systematic review and meta-analysis of randomized controlled trials

Alyssa M Tindall et al. Am J Clin Nutr. .

Abstract

Background: Observational evidence suggests higher nut consumption is associated with better glycemic control; however, it is unclear if this association is causal.

Objectives: We aimed to conduct a systematic review and meta-analysis of randomized controlled trials to examine the effect of tree nuts and peanuts on markers of glycemic control in adults.

Methods: A systematic review and meta-analysis of randomized controlled trials was conducted. A total of 1063 potentially eligible articles were screened in duplicate. From these articles, 40 were eligible for inclusion and data from these articles were extracted in duplicate. The weighted mean difference (WMD) between the nut intervention and control arms was determined for fasting glucose, fasting insulin, glycated hemoglobin (HbA1c), and homeostasis model assessment of insulin resistance (HOMA-IR) using the DerSimonian and Laird random-effects method. For outcomes where a limited number of studies were published, a qualitative synthesis was presented.

Results: A total of 40 randomized controlled trials including 2832 unique participants, with a median duration of 3 mo (range: 1-12 mo), were included. Overall consumption of tree nuts or peanuts had a favorable effect on HOMA-IR (WMD: -0.23; 95% CI: -0.40, -0.06; I2 = 51.7%) and fasting insulin (WMD: -0.40 μIU/mL; 95% CI: -0.73, -0.07 μIU/mL; I2 = 49.4%). There was no significant effect of nut consumption on fasting blood glucose (WMD: -0.52 mg/dL; 95% CI: -1.43, 0.38 mg/dL; I2 = 53.4%) or HbA1c (WMD: 0.02%; 95% CI: -0.01%, 0.04%; I2 = 51.0%).

Conclusions: Consumption of peanuts or tree nuts significantly decreased HOMA-IR and fasting insulin; there was no effect of nut consumption on HbA1c or fasting glucose. The results suggest that nut consumption may improve insulin sensitivity. In the future, well-designed clinical trials are required to elucidate the mechanisms that account for these observed effects.

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Figures

FIGURE 1
FIGURE 1
Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) flow diagram of included studies.
FIGURE 2
FIGURE 2
Random-effects meta-analysis of mean difference in fasting glucose with nut consumption compared to control treatment. DerSimonian and Laird random-effects method used for data analysis. Data expressed as WMD (95% CI). Weights are from random-effects analysis. ES, effect size; T2DM, type 2 diabetes; WMD, weighted mean difference.
FIGURE 3
FIGURE 3
Random effects meta-analysis of mean difference in HbA1c with nut consumption compared to control treatment. DerSimonian and Laird random-effects method used for data analysis. Data expressed as WMD (95% CI). Weights are from random-effects analysis. ES, effect size; HbA1c, glycated hemoglobin; T2DM, type 2 diabetes; WMD, weighted mean difference.
FIGURE 4
FIGURE 4
Random effects meta-analysis of mean difference in HOMA-IR with nut consumption compared to control treatment. DerSimonian and Laird random-effects method used for data analysis. Data expressed as WMD (95% CI). Weights are from random-effects analysis. ES, effect size; T2DM, type 2 diabetes; WMD, weighted mean difference.
FIGURE 5
FIGURE 5
Random effects meta-analysis of mean difference in fasting insulin with nut consumption compared to control treatment. DerSimonian and Laird random-effects method used for data analysis. Data expressed as WMD (95% CI). Weights are from random-effects analysis. ES, effect size; T2DM, type 2 diabetes; WMD, weighted mean difference.

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References

    1. GBD 2016 Causes of Death Collaborators. Global, regional, and national age-sex specific mortality for 264 causes of death, 1980–2016: a systematic analysis for the Global Burden of Disease Study 2016. Lancet. 2017;390(10100):1151–210. - PMC - PubMed
    1. World Health Organization. Global report on diabetes. Geneva, Switzerland: World Health Organization; 2016.
    1. National Center for Chronic Disease Prevention and Health Promotion. National Diabetes Statistics Report, 2017. Centers for Disease Control and Prevention; 2017. Available from: https://www.cdc.gov/diabetes/pdfs/data/statistics/national-diabetes-stat....
    1. Afshin A, Micha R, Khatibzadeh S, Mozaffarian D. Consumption of nuts and legumes and risk of incident ischemic heart disease, stroke, and diabetes: a systematic review and meta-analysis. Am J Clin Nutr. 2014;100(1):278–88. - PMC - PubMed
    1. Aune D, Keum N, Giovannucci E, Fadnes L, Boffetta P, Greenwood D, Tonstad S, Vatten L, Riboli E, Norat T. Nut consumption and risk of cardiovascular disease, total cancer, all-cause and cause-specific mortality: a systematic review and dose-response meta-analysis of prospective studies. BMC Medicine. 2016;14(1):207. - PMC - PubMed