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            <name>Title</name>
            <description>A name given to the resource</description>
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                <text>Coronavirus</text>
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            <description>An account of the resource</description>
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                <text>Dominio científico: Coronavirus</text>
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    <name>Text</name>
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          <name>Title</name>
          <description>A name given to the resource</description>
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              <text>Comparing Interviewer-Administered and Web-Based Food Frequency Questionnaires to Predict Energy Requirements in Adults</text>
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          <name>Creator</name>
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              <text>Didier Brassard, Simone Lemieux, Amélie Charest, Annie Lapointe, Patrick Couture, Marie-Ève Labonté, Benoît Lamarche</text>
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          <name>Description</name>
          <description>An account of the resource</description>
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              <text>Traditional food frequency questionnaires (FFQs) are influenced by systematic error, but web-based FFQ (WEB-FFQs) may mitigate this source of error. The objective of this study was to compare the accuracy of interview-based and web-based FFQs to assess energy requirements (mERs). The mER was measured in a series of controlled feeding trials in which participants daily received all foods and caloric drinks to maintain stable body weight over 4 to 6 weeks. FFQs assessing dietary intakes and hence mean energy intake were either interviewer-administered by a registered dietitian (IA-FFQ, n = 127; control method) or self-administered using a web-based platform (WEB-FFQ, n = 200; test method), on a single occasion. Comparison between self-reported energy intake and mER revealed significant under-reporting with the IA-FFQ (&amp;minus;9.5%; 95% CI, &amp;minus;12.7 to &amp;minus;6.1) and with the WEB-FFQ (&amp;minus;11.0%; 95% CI, &amp;minus;15.4 to &amp;minus;6.4), but to a similar extent between FFQs (p = 0.62). However, a greater proportion of individuals were considered as accurate reporters of energy intake using the IA-FFQ compared with the WEB-FFQ (67.7% vs. 48.0%, respectively), while the prevalence of over-reporting was lower with the IA-FFQ than with the WEB-FFQ (6.3% vs. 17.5%, respectively). These results suggest less accurate prediction of true energy intake by a self-administered WEB-FFQ than with an IA-FFQ.</text>
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          <name>Date</name>
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              <text>2018</text>
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          <name>Subject</name>
          <description>The topic of the resource</description>
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              <text>food frequency questionnaire, dietary assessment, Web, underreporting, over-reporting, Energy intake</text>
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          <name>Identifier</name>
          <description>An unambiguous reference to the resource within a given context</description>
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            <elementText elementTextId="6679">
              <text>DOI: 10.3390/nu10091292</text>
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        <element elementId="48">
          <name>Source</name>
          <description>A related resource from which the described resource is derived</description>
          <elementTextContainer>
            <elementText elementTextId="6680">
              <text>Nutrients</text>
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          </elementTextContainer>
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          <name>Publisher</name>
          <description>An entity responsible for making the resource available</description>
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              <text>MDPI AG</text>
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          <name>Coverage</name>
          <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
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              <text>Nutrition. Foods and food supply</text>
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          <name>Language</name>
          <description>A language of the resource</description>
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              <text>EN</text>
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