“…A 150 g increase in UPF consumption a day was associated with a 4% higher risk of incident MetS (RR = 1.04, 95% CI 1.02–1.06) Pan F. (2023, China) 55 | China Nutrition and Health Survey (CNHS) (6 y) | n = 5,147 >18 y (50.0%) | 24-hour dietary recall of 3 consecutive days at each survey Cumulative mean UPF intake NOVA classification (g/day) | Gender, age, BMI, educational level, place of residence, regions, income level, smoking status, drinking status, metabolic equivalents, urbanicity, energy intake, and dietary factors (protein, total fat, carbohydrate, and sodium intake) | Higher UPF consumption (4 th quartile of >36.1 g/day vs. 1 st quartile of <6.5 g/day(was associated with 17% increased risk for MetS (HR 1.17, 95% CI 1.01–1.35; p for trend = 0.047) |
Magalhães EIDS. (2022, Brazil) 56 | The Ribeirão Preto birth cohort (14 y) | n = 896 23-25 y (55.7%) | Semi-quantitative 83-item FFQ (non-validated) NOVA classification (% of total kCal) NOVA classification (% of total food weight) | Gender, age, skin color, educational level, marital status, household income, alcohol consumption, smoking status, physical activity, and energy intake | UPF consumption had no association with MetS (% of kCal RR 1.00, 95% CI 0.99-1.01; % of weight RR 1.00, 95% CI 0.99-1.01) |
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Cross-sectional studies |
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Bezerra Barbosa L. (2023, Brazil) 59 | Quilombos community-based survey | n = 895 19-59 y (100%) | 24-hour dietary recall NOVA classification (% of total kCal) NOVA score (ranging from 0 to 23) | Model 3. Excess weight and neck circumference, plus variables from model 1 that showed p < 0.05 in the analysis for the aforementioned model - age and household income | Higher UPF consumption (4 th quartile of 40.5% vs. 1 st quartile of 0.0%) was not associated with a higher prevalence of MetS (PR 1.09, 95% CI 0.89-1.32). |
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