| 000 | 02901naa a2200301 a 4500 | ||
|---|---|---|---|
| 003 | AR-LpUFIB | ||
| 005 | 20250311171152.0 | ||
| 008 | 230201s2018 xx o 000 0 eng d | ||
| 024 | 8 |
_aDIF-M7781 _b7998 _zDIF007110 |
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| 040 |
_aAR-LpUFIB _bspa _cAR-LpUFIB |
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| 100 | 1 | _aGarcía, Silvia M. | |
| 245 | 1 | 0 |
_aSelf-administered structured food record for measuring individual energy and nutrient intake in large cohorts : _bdesign and validation |
| 300 | _a1 archivo (390,8 kB) | ||
| 500 | _aFormato de archivo PDF. -- Este documento es producción intelectual de la Facultad de Informática - UNLP (Colección BIPA/Biblioteca) | ||
| 520 | _aIntroduction: 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. | ||
| 534 | _aEndocrinología, Diabetes y Nutrición (English ed.), 65(9), pp. 524-532. | ||
| 650 | 4 |
_aSALUD _91798 |
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| 650 | 4 | _aDISEÑO DE SOFTWARE | |
| 700 | 1 | _aGonzález, Claudio Marcelo | |
| 700 | 1 | _aRucci, Enzo | |
| 700 | 1 | _aAmbrosino, Cintia | |
| 700 | 1 | _aVidal, Julia | |
| 700 | 1 | _aFantuzzi, Gabriel | |
| 700 | 1 | _aPrestes, Mariana | |
| 700 | 1 | _aKronsbein, Peter | |
| 856 | 4 | 0 | _uhttps://doi.org/10.1016/j.endien.2018.10.002 |
| 942 | _cCP | ||
| 999 |
_c56885 _d56885 |
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