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Self-administered structured food record for measuring individual energy and nutrient intake in large cohorts: Design
Silvia M García1, Claudio González2, Enzo Rucci3
1CENEXA, Centro de Endocrinología Experimental y Aplicada (UNLP-CONICET La Plata), Facultad de Ciencias Médicas UNLP, La Plata, Argentina; Licenciatura en Nutrición, EURHES, Facultad de Ciencias Médicas UNLP, La Plata, Argentina.
Introduction:
Several instruments developed to assess dietary intake of groups or populations have strengths and weaknesses that affect their specific application. No self-administered, closed-ended dietary survey was previously used in Argentina to assess current food and nutrient intake on a daily basis.
Objective:
To design and validate a self-administered, structured food record (NutriQuid, NQ) representative of the adult Argentine population's food consumption pattern to measure individual energy and nutrient intake.
Materials And Methods:
Records were loaded onto a database using software that checks a regional nutrition information system (SARA program), automatically quantifying energy and nutrient intake. NQ validation included two phases: (1) NQ construct validity comparing records kept simultaneously by healthy volunteers (45-75 years) and a nutritionist who provided meals (reference), and (2) verification of whether NQ reflected target population consumption (calories and nutrients), week consumption differences, respondent acceptability, and ease of data entry/analysis. Data analysis included descriptive statistics, repeated measures ANOVA, intraclass correlation coefficient, nonparametric regression, and cross-classification into quintiles.
Results:
The first validation (study group vs. reference) showed an underestimation (10%) of carbohydrate, fat, and energy intake. Second validation: 109 volunteers (91% response) completed the NQ for seven consecutive days. Record completion took about 9min/day, and data entry 3-6min. Mean calorie intake was 2240±119kcal/day (42% carbohydrates, 17% protein, and 41% fat). Intake significantly increased in the weekend.
Conclusion:
NQ is a simple and efficient tool to assess dietary intake in large samples.
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