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|a García, Silvia M.
|9 10242
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|a Self-administered structured food record for measuring individual energy and nutrient intake in large cohorts :
|b design and validation
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|a 1 archivo (390,8 kB)
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|a Formato de archivo PDF. -- Este documento es producción intelectual de la Facultad de Informática - UNLP (Colección BIPA/Biblioteca)
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|a 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 9 min/day, and data entry 3---6 min. Mean calorie intake was 2240 ± 119 kcal/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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|a Endocrinología, Diabetes y Nutrición (English ed.), 65(9), pp. 524-532.
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| 650 |
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|a SALUD
|9 1798
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| 650 |
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4 |
|a DISEÑO DE SOFTWARE
|9 42981
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| 700 |
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|a González, Claudio Marcelo
|9 49687
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| 700 |
1 |
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|a Rucci, Enzo
|9 45464
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| 700 |
1 |
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|a Ambrosino, Cintia
|9 49688
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| 700 |
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|a Vidal, Julia
|9 49689
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| 700 |
1 |
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|a Fantuzzi, Gabriel
|9 41876
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| 700 |
1 |
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|a Prestes, Mariana
|9 49040
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| 700 |
1 |
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|a Kronsbein, Peter
|9 49690
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| 856 |
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|u https://doi.org/10.1016/j.endien.2018.10.002
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|u http://catalogo.info.unlp.edu.ar/meran/getDocument.pl?id=1681
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