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Macronutrients quality indices and risk of metabolic syndrome and its components in Iranian adults.

AbstractBACKGROUND/AIM:
Evidence from recent studies suggested that the quality of dietary macronutrients can play a possible role in predicting the risk of metabolic disorders. In the current study, we aimed to assess the association of carbohydrate quality index (CQI) and protein score with the risk of metabolic syndrome (MetS) in Iranian adults.
METHODS:
This prospective study was conducted within the framework of the Tehran Lipid and Glucose Study on 1738 individuals aged between 40 and 70 years old, who were followed up for a mean of 6.1 years. A food frequency questionnaire was used to determine CQI and protein scores. The multivariable adjusted Cox regression model was used to calculate the hazard ratio (HR) of MetS across quartiles of protein score and CQI, and its components.
RESULTS:
The mean ± standard deviation (SD) age and body mass index of the study population (42.5% men) were 49.3 ± 7.5 years and 27.0 ± 4.0 kg/m2, respectively. Mean ± SD scores of CQI and protein for all participants were 12.6 ± 2.4 and 10.3 ± 3.5, respectively. During the study follow-up, 834(48.0%) new cases of MetS were ascertained. In the multivariable-adjusted model, the risk of MetS was decreased across quartiles of CQI (HR = 0.83;95%CI:0.69-1.00, Ptrend=0.025) and protein score (HR = 0.75; 95% CI:0.60-0.94, Ptrend=0.041). Also, Of CQI components, the whole grain/total grains ratio showed a significant inverse association with the risk of MetS (HR = 0.75;95%CI:0.60-0.94, Ptrend=0.012).
CONCLUSION:
Our findings revealed that a dietary pattern with higher CQI and protein score may be related to a reduced risk of MetS in adults.
AuthorsHossein Farhadnejad, Ebrahim Mokhtari, Farshad Teymoori, Mitra Kazemi Jahromi, Niloufar Saber, Hamid Ahmadirad, Mostafa Norouzzadeh, Parvin Mirmiran, Fereidoun Azizi
JournalBMC cardiovascular disorders (BMC Cardiovasc Disord) Vol. 24 Issue 1 Pg. 126 (Feb 26 2024) ISSN: 1471-2261 [Electronic] England
PMID38408923 (Publication Type: Journal Article)
Copyright© 2024. The Author(s).
Topics
  • Adult
  • Male
  • Humans
  • Middle Aged
  • Aged
  • Female
  • Metabolic Syndrome (diagnosis, epidemiology)
  • Risk Factors
  • Iran (epidemiology)
  • Prospective Studies
  • Energy Intake
  • Nutrients

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