Mexican Ancestral Foods ( Theobroma cacao, Opuntia ficus indica, Persea americana and Phaseolus vulgaris) Supplementation on Anthropometric, Lipid and Glycemic Control Variables in Obese Patients: A Systematic Review and Meta-Analysis
Diet containing Mexican ancestral foods such as cocoa, nopal, avocado, and common bean have been individually reported to have beneficial effects on obesity and comorbidities. Methods: A systematic review and meta-analysis on the effect of Mexican ancestral foods on the anthropometric, lipid, and gl...
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Veröffentlicht in: | Foods 2023-03, Vol.12 (6), p.1177 |
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Sprache: | eng |
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Zusammenfassung: | Diet containing Mexican ancestral foods such as cocoa, nopal, avocado, and common bean have been individually reported to have beneficial effects on obesity and comorbidities. Methods: A systematic review and meta-analysis on the effect of Mexican ancestral foods on the anthropometric, lipid, and glycemic control variables in obese patients was performed following PRISMA guidelines. Data were analyzed using a random-effects model. Results: We selected 4664 articles from an initial search, of which only fifteen studies satisfied the inclusion criteria. Data for 1670 participants were analyzed: 843 in the intervention group and 827 in the control group. A significant reduction in body mass index (mean difference: -0.80 (-1.31 to -0.30)) (95% confidence interval),
= 0.002, heterogeneity I
= 92% was showed after the ingestion of cocoa, nopal, avocado, or common bean. The mean difference for body weight was -0.57 (-1.93 to 0.79), waist of circumference: -0.16 (-2.54 to -2.21), total cholesterol: -5.04 (-11.5 to 1.08), triglycerides: -10.11 (-27.87 to 7.64), fasting glucose: -0.81 (-5.81 to 4.19), and insulin: -0.15 (-0.80 to 0.50). Mexican ancestral food supplementation seems to improve anthropometric, lipid, and glycemic control variables in obesity; however, more randomized controlled trials are needed to have further decisive evidence about dosage and method of supplementation and to increase the sample size. |
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ISSN: | 2304-8158 2304-8158 |
DOI: | 10.3390/foods12061177 |