Nutrient patterns and their relation to obesity and metabolic syndrome in Iranian overweight and obese adult women.

Purpose: Nutrient patterns have been associated with an increased risk for chronic disease. Evidence to confirm a direct relationship between nutrient patterns and obesity and metabolic syndrome (MetS) throughout population-based differences including cultural contexts add complexity is not well established yet. The aim of this study is to investigate the association between nutrient patterns and MetS among overweight and obese Iranian women.
Methods: Three hundred and sixty obese and overweight women (25 < BMI < 40) were included in this cross-sectional analysis. Dietary intake of 19 nutrients was evaluated by a semi-quantitative standard food frequency questionnaire (FFQ). MetS was determined by abdominal obesity > 88 (cm) in females, Triglycerides ≥ 150 (mg/dL), dyslipidemia (HDL < 50 mg/dL), systolic blood pressure > 130/85 (millimeters), and glucose > 100 (mg/dL). Body composition was assessed by a multi-frequency bioelectrical impedance analyzer, InBody 770 scanner. Principle components analysis was applied and four nutrient patterns were identified as following: Pattern 1 (thiamin, iron, carbohydrate, zinc, niacin, protein, magnesium, phosphorus, riboflavin), represented the carbo-vitamin group. Lipid group was showed in pattern 2 (PUFAs, MUFA, vitamin E, trans fatty acids, and Pattern 3 (beta-carotene, vitamin K, vitamin A, vitamin C) represented the anti-oxidant group, finally Pattern 4 was the indicator of the milk group (vitamin D, calcium).
Results: A significant positive association was observed between the anti-oxidant group and obesity (OR 1.40; 95% CI 1.09-1.8; P = 0.01). No relationship between other nutrient pattern and MetS was observed.
Conclusions: The nutrient patterns that are highly loading of beta-carotene, vitamin K, vitamin A, and vitamin C in nutrient patterns may be associated to higher risk of obesity in overweight and obese Iranian women.
Level of Evidence: Level V, cross-sectional descriptive study.
(© 2021. The Author(s), under exclusive licence to Springer Nature Switzerland AG.)