Relationship between dietary carbohydrate quality index and metabolic syndrome among type 2 diabetes mellitus subjects: a case-control study from Ghana
BMC Public Health, ISSN: 1471-2458, Vol: 21, Issue: 1, Page: 526
2021
- 14Citations
- 76Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Metrics Details
- Citations14
- Citation Indexes14
- 14
- Captures76
- Readers76
- 76
Article Description
Background: Dietary carbohydrate quality may play an important role in disease development. We evaluated the association between carbohydrate quality index (CQI) and the odds of metabolic syndrome (MetS) in type 2 diabetes mellitus (T2DM) subjects in Ghana. Methods: In this case-control study, we analyzed data using 124 T2DM subjects. We obtained dietary information using 2-day 24-h dietary recalls. We calculated CQI from dietary fiber, glycemic index, whole grains/total grains ratio, and solid carbohydrates/total carbohydrates ratio. Serum lipid profiles were measured after an overnight fast of 8–12 h. Results: Upon adjustments for the effects of covariates, the CQI showed a positive association with high-density lipoprotein cholesterol concentration (beta coefficient (β) = 0.24; standard error (SE) = 0.20; P for trend = 0.01), and an inverse relationship with waist circumference (β = − 17.29; SE = 4.00; P for trend < 0.001), systolic blood pressure (β = − 15.74; SE = 4.69; P for trend < 0.001), diastolic blood pressure (β = − 7.23; SE = 2.97; P for trend = 0.02), and triglyceride concentrations (β = − 0.43; SE = 0.11; P for trend < 0.001). Overall, the CQI had an inverse relationship with the odds of MetS (Odds ratio 0.05; 95% Confidence interval: 0.01–0.23; p-trend < 0.001). Also, a positive correlation was found between the CQI and fiber, but the CQI showed a negative relationship with dietary glycemic index. Conclusions: The present results suggest an inverse association between the CQI of a diet and the odds of MetS. The CQI approach of dietary recommendation may be a useful strategy for dietary carbohydrate selection for the prevention of MetS.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85102712548&origin=inward; http://dx.doi.org/10.1186/s12889-021-10593-3; http://www.ncbi.nlm.nih.gov/pubmed/33731080; https://bmcpublichealth.biomedcentral.com/articles/10.1186/s12889-021-10593-3; https://dx.doi.org/10.1186/s12889-021-10593-3
Springer Science and Business Media LLC
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