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Animal-Based Dietary Protein Intake Is Not A Risk Factor For Metabolic Syndrome Among Young Or Middle-Aged Females
Bailee Sawyer1, Kara A Stone2, Christopher J Kotarsky3
1Department of Medical Laboratory Sciences, Public Health and Nutrition Science, Tarleton State University, Stephenville, TX, USA.
Nutrition and Metabolic Insights
|June 30, 2022
Summary
Higher intake of plant-based protein is linked to a lower risk of metabolic syndrome (MetS) in women. Animal-based protein showed no significant association with MetS risk. Further research is needed to confirm these findings.
Area of Science:
- Nutrition Science
- Public Health
Background:
- Metabolic syndrome (MetS) significantly increases morbidity and mortality risks.
- Key MetS indicators include blood pressure, waist circumference, fasting triglycerides, blood glucose, and HDL cholesterol.
- The Simple Method for Quantifying Metabolic Syndrome (siMS) score and risk score are used to estimate MetS risk.
Purpose of the Study:
- To investigate the relationship between animal-based protein (ABP) and plant-based protein (PLP) intake and MetS risk.
- To examine the association of physical activity (PA) levels and dietary protein sources with MetS in young and middle-aged females.
Main Methods:
- A cross-sectional study involving 81 females (18-60 years).
- Data collected included PA metrics (sedentary, light, MVPA, steps), dietary intake (energy, protein sources, ABP:PLP ratio), and MetS indicators.
- Statistical analyses included independent t-tests and stepwise linear regressions.
Main Results:
- Plant-based protein (PLP) intake was inversely associated with siMS score and siMS risk score.
- Light physical activity was positively associated with siMS risk score.
- Animal-based protein (ABP) intake did not show a significant impact on siMS score or risk score.
Conclusions:
- Plant-based protein intake is associated with a reduced risk of MetS, as estimated by siMS scores.
- No significant association was found between animal-based protein intake and MetS risk.
- Longitudinal studies are recommended to establish causality.
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