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Using principal component analysis to characterize dietary patterns in children from Uruguay
Author(s) -
Lee Yujin,
Hsiao Pao Ying,
Queirolo Elena,
Peregalli Fabiana,
Kordas Katarzyna
Publication year - 2013
Publication title -
the faseb journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.709
H-Index - 277
eISSN - 1530-6860
pISSN - 0892-6638
DOI - 10.1096/fasebj.27.1_supplement.1060.24
Subject(s) - varimax rotation , calorie , principal component analysis , refined grains , population , food science , food consumption , food group , consumption (sociology) , environmental health , medicine , zoology , mathematics , biology , whole grains , statistics , cronbach's alpha , descriptive statistics , agricultural economics , economics , endocrinology , social science , sociology
Few studies have investigated dietary patterns of people in Uruguay, especially children. The purpose of this study was to identify dietary patterns of 217 children aged 6–8 y in Montevideo, Uruguay (Mean±SD BMI=21.2± 4.5 kg/m 2 ). Diet data were collected via 2 non‐consecutive 24‐hour recalls completed by mothers. Principal component analysis with Varimax rotation was used to identify dietary patterns. Three patterns were identified (explaining 29.1% of variance): 1) ‘Less healthy’ characterized by high consumption of sweetened beverages, sweets, fats and oils, breads, and processed meats, 2) ‘Refined grains’ characterized by high consumption of pizza and dinner pies, pastries, pasta, milk and fruits, 3) ‘More healthy’ characterized by dark green, red and orange vegetables, beans and peas, eggs and white meats. For each component, each child was allocated a score derived from the component's coefficients for food groups and the reported amount of consumption. Spearman correlation coefficients were used to test correlations between total calorie consumption and component scores. Total calorie consumption was correlated with ‘Less healthy’ and ‘Refined grains’ patterns (r= 0.56, r=0.39, respectively). Further studies need to investigate possible associations between dietary patterns and biomarkers of nutritional status in this population. Grant Funding Source : NIEHS 4231251X1