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Validity and Reliability of General Nutrition Knowledge Questionnaire for Adults in Uganda

Identifieur interne : 002801 ( Pmc/Corpus ); précédent : 002800; suivant : 002802

Validity and Reliability of General Nutrition Knowledge Questionnaire for Adults in Uganda

Auteurs : Richard Bukenya ; Abhiya Ahmed ; Jeanette M. Andrade ; Diana S. Grigsby-Toussaint ; John Muyonga ; Juan E. Andrade

Source :

RBID : PMC:5331603

Abstract

This study sought to develop and validate a general nutrition knowledge questionnaire (GNKQ) for Ugandan adults. The initial draft consisted of 133 items on five constructs associated with nutrition knowledge; expert recommendations (16 items), food groups (70 items), selecting food (10 items), nutrition and disease relationship (23 items), and food fortification in Uganda (14 items). The questionnaire validity was evaluated in three studies. For the content validity (study 1), a panel of five content matter nutrition experts reviewed the GNKQ draft before and after face validity. For the face validity (study 2), head teachers and health workers (n = 27) completed the questionnaire before attending one of three focus groups to review the clarity of the items. For the construct and test-rest reliability (study 3), head teachers (n = 40) from private and public primary schools and nutrition (n = 52) and engineering (n = 49) students from Makerere University took the questionnaire twice (two weeks apart). Experts agreed (content validity index, CVI > 0.9; reliability, Gwet’s AC1 > 0.85) that all constructs were relevant to evaluate nutrition knowledge. After the focus groups, 29 items were identified as unclear, requiring major (n = 5) and minor (n = 24) reviews. The final questionnaire had acceptable internal consistency (Cronbach α > 0.95), test-retest reliability (r = 0.89), and differentiated (p < 0.001) nutrition knowledge scores between nutrition (67 ± 5) and engineering (39 ± 11) students. Only the construct on nutrition recommendations was unreliable (Cronbach α = 0.51, test-retest r = 0.55), which requires further optimization. The final questionnaire included topics on food groups (41 items), selecting food (2 items), nutrition and disease relationship (14 items), and food fortification in Uganda (22 items) and had good content, construct, and test-retest reliability to evaluate nutrition knowledge among Ugandan adults.


Url:
DOI: 10.3390/nu9020172
PubMed: 28230779
PubMed Central: 5331603

Links to Exploration step

PMC:5331603

Le document en format XML

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<p>This study sought to develop and validate a general nutrition knowledge questionnaire (GNKQ) for Ugandan adults. The initial draft consisted of 133 items on five constructs associated with nutrition knowledge; expert recommendations (16 items), food groups (70 items), selecting food (10 items), nutrition and disease relationship (23 items), and food fortification in Uganda (14 items). The questionnaire validity was evaluated in three studies. For the content validity (study 1), a panel of five content matter nutrition experts reviewed the GNKQ draft before and after face validity. For the face validity (study 2), head teachers and health workers (
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= 40) from private and public primary schools and nutrition (
<italic>n</italic>
= 52) and engineering (
<italic>n</italic>
= 49) students from Makerere University took the questionnaire twice (two weeks apart). Experts agreed (content validity index, CVI > 0.9; reliability, Gwet’s AC1 > 0.85) that all constructs were relevant to evaluate nutrition knowledge. After the focus groups, 29 items were identified as unclear, requiring major (
<italic>n</italic>
= 5) and minor (
<italic>n</italic>
= 24) reviews. The final questionnaire had acceptable internal consistency (Cronbach α > 0.95), test-retest reliability (
<italic>r</italic>
= 0.89), and differentiated (
<italic>p</italic>
< 0.001) nutrition knowledge scores between nutrition (67 ± 5) and engineering (39 ± 11) students. Only the construct on nutrition recommendations was unreliable (Cronbach α = 0.51, test-retest
<italic>r</italic>
= 0.55), which requires further optimization. The final questionnaire included topics on food groups (41 items), selecting food (2 items), nutrition and disease relationship (14 items), and food fortification in Uganda (22 items) and had good content, construct, and test-retest reliability to evaluate nutrition knowledge among Ugandan adults.</p>
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</TEI>
<pmc article-type="research-article">
<pmc-dir>properties open_access</pmc-dir>
<front>
<journal-meta>
<journal-id journal-id-type="nlm-ta">Nutrients</journal-id>
<journal-id journal-id-type="iso-abbrev">Nutrients</journal-id>
<journal-id journal-id-type="publisher-id">nutrients</journal-id>
<journal-title-group>
<journal-title>Nutrients</journal-title>
</journal-title-group>
<issn pub-type="epub">2072-6643</issn>
<publisher>
<publisher-name>MDPI</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="pmid">28230779</article-id>
<article-id pub-id-type="pmc">5331603</article-id>
<article-id pub-id-type="doi">10.3390/nu9020172</article-id>
<article-id pub-id-type="publisher-id">nutrients-09-00172</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Article</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Validity and Reliability of General Nutrition Knowledge Questionnaire for Adults in Uganda</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Bukenya</surname>
<given-names>Richard</given-names>
</name>
<xref ref-type="aff" rid="af1-nutrients-09-00172">1</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Ahmed</surname>
<given-names>Abhiya</given-names>
</name>
<xref ref-type="aff" rid="af2-nutrients-09-00172">2</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Andrade</surname>
<given-names>Jeanette M.</given-names>
</name>
<xref ref-type="aff" rid="af3-nutrients-09-00172">3</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Grigsby-Toussaint</surname>
<given-names>Diana S.</given-names>
</name>
<xref ref-type="aff" rid="af1-nutrients-09-00172">1</xref>
<xref ref-type="aff" rid="af4-nutrients-09-00172">4</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Muyonga</surname>
<given-names>John</given-names>
</name>
<xref ref-type="aff" rid="af5-nutrients-09-00172">5</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Andrade</surname>
<given-names>Juan E.</given-names>
</name>
<xref ref-type="aff" rid="af1-nutrients-09-00172">1</xref>
<xref ref-type="aff" rid="af2-nutrients-09-00172">2</xref>
<xref rid="c1-nutrients-09-00172" ref-type="corresp">*</xref>
</contrib>
</contrib-group>
<aff id="af1-nutrients-09-00172">
<label>1</label>
Division of Nutritional Sciences, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA;
<email>bukenya2@illinois.edu</email>
(R.B.);
<email>dgrigs1@illinois.edu</email>
(D.S.G.-T.)</aff>
<aff id="af2-nutrients-09-00172">
<label>2</label>
Department of Food Science and Human Nutrition, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA;
<email>ahmed36@illinois.edu</email>
</aff>
<aff id="af3-nutrients-09-00172">
<label>3</label>
School of Family and Consumer Sciences, Eastern Illinois University, Charleston, IL 61920, USA;
<email>jmevans@eiu.edu</email>
</aff>
<aff id="af4-nutrients-09-00172">
<label>4</label>
Department of Kinesiology and Community Health, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA</aff>
<aff id="af5-nutrients-09-00172">
<label>5</label>
Department of Food Technology and Human Nutrition, Makerere University, P.O. Box 7062, Kampala, Uganda;
<email>hmuyonga@yahoo.com</email>
</aff>
<author-notes>
<corresp id="c1-nutrients-09-00172">
<label>*</label>
Correspondence:
<email>jandrade@illinois.edu</email>
; Tel.: +1-217-333-9653</corresp>
</author-notes>
<pub-date pub-type="epub">
<day>21</day>
<month>2</month>
<year>2017</year>
</pub-date>
<pub-date pub-type="collection">
<month>2</month>
<year>2017</year>
</pub-date>
<volume>9</volume>
<issue>2</issue>
<elocation-id>172</elocation-id>
<history>
<date date-type="received">
<day>10</day>
<month>12</month>
<year>2016</year>
</date>
<date date-type="accepted">
<day>15</day>
<month>2</month>
<year>2017</year>
</date>
</history>
<permissions>
<copyright-statement>© 2017 by the authors.</copyright-statement>
<copyright-year>2017</copyright-year>
<license license-type="open-access">
<license-p>Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (
<ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by/4.0/">http://creativecommons.org/licenses/by/4.0/</ext-link>
).</license-p>
</license>
</permissions>
<abstract>
<p>This study sought to develop and validate a general nutrition knowledge questionnaire (GNKQ) for Ugandan adults. The initial draft consisted of 133 items on five constructs associated with nutrition knowledge; expert recommendations (16 items), food groups (70 items), selecting food (10 items), nutrition and disease relationship (23 items), and food fortification in Uganda (14 items). The questionnaire validity was evaluated in three studies. For the content validity (study 1), a panel of five content matter nutrition experts reviewed the GNKQ draft before and after face validity. For the face validity (study 2), head teachers and health workers (
<italic>n</italic>
= 27) completed the questionnaire before attending one of three focus groups to review the clarity of the items. For the construct and test-rest reliability (study 3), head teachers (
<italic>n</italic>
= 40) from private and public primary schools and nutrition (
<italic>n</italic>
= 52) and engineering (
<italic>n</italic>
= 49) students from Makerere University took the questionnaire twice (two weeks apart). Experts agreed (content validity index, CVI > 0.9; reliability, Gwet’s AC1 > 0.85) that all constructs were relevant to evaluate nutrition knowledge. After the focus groups, 29 items were identified as unclear, requiring major (
<italic>n</italic>
= 5) and minor (
<italic>n</italic>
= 24) reviews. The final questionnaire had acceptable internal consistency (Cronbach α > 0.95), test-retest reliability (
<italic>r</italic>
= 0.89), and differentiated (
<italic>p</italic>
< 0.001) nutrition knowledge scores between nutrition (67 ± 5) and engineering (39 ± 11) students. Only the construct on nutrition recommendations was unreliable (Cronbach α = 0.51, test-retest
<italic>r</italic>
= 0.55), which requires further optimization. The final questionnaire included topics on food groups (41 items), selecting food (2 items), nutrition and disease relationship (14 items), and food fortification in Uganda (22 items) and had good content, construct, and test-retest reliability to evaluate nutrition knowledge among Ugandan adults.</p>
</abstract>
<kwd-group>
<kwd>nutrition knowledge questionnaire</kwd>
<kwd>validation</kwd>
<kwd>Uganda</kwd>
<kwd>adults</kwd>
</kwd-group>
</article-meta>
</front>
<body>
<sec id="sec1-nutrients-09-00172">
<title>1. Introduction</title>
<p>Malnutrition among school-aged children in Uganda remains high [
<xref rid="B1-nutrients-09-00172" ref-type="bibr">1</xref>
,
<xref rid="B2-nutrients-09-00172" ref-type="bibr">2</xref>
] as 22%–38% are considered stunted, 38% are anaemic, and 80% are iron-deficient, undermining national education efforts. This is partly due to poor feeding practices at homes and at schools [
<xref rid="B3-nutrients-09-00172" ref-type="bibr">3</xref>
]. Approximately 40% of the schools do not provide meals; 92% of rural children go to school without breakfast and 70% do not eat lunch at school. Additionally, few schools provide fruits, vegetables, animal source, and fortified food that can reduce micronutrient deficiencies [
<xref rid="B3-nutrients-09-00172" ref-type="bibr">3</xref>
]. Poor nutrition status manifests from the complex interaction of biological, intra- and interpersonal, and environmental factors that determine food choices and consumption among children [
<xref rid="B4-nutrients-09-00172" ref-type="bibr">4</xref>
]. At schools, head teachers’ actions are among the many interpersonal factors that can influence the school environment for children and, potentially, for their parents and other teachers. Head teachers are centrally positioned to promote nutrition in schools and their communities, often supporting nutrition interventions led by government and development partners [
<xref rid="B5-nutrients-09-00172" ref-type="bibr">5</xref>
,
<xref rid="B6-nutrients-09-00172" ref-type="bibr">6</xref>
]. Nonetheless, the ability of teachers and heads to influence healthy behaviours at schools might be limited by their knowledge of and attitudes towards nutrition [
<xref rid="B7-nutrients-09-00172" ref-type="bibr">7</xref>
].</p>
<p>The determinants of diet-related behaviours include biologically determined behavioural predispositions, experience with foods (physiological and social conditioning), intra- and interpersonal factors, and environmental factors [
<xref rid="B4-nutrients-09-00172" ref-type="bibr">4</xref>
]. Knowledge is a key determinant of behaviour, categorized within inter- and intrapersonal factors [
<xref rid="B4-nutrients-09-00172" ref-type="bibr">4</xref>
] and included within several theoretical frameworks such as the Social Ecological Model and the Social Cognitive Theory [
<xref rid="B8-nutrients-09-00172" ref-type="bibr">8</xref>
,
<xref rid="B9-nutrients-09-00172" ref-type="bibr">9</xref>
,
<xref rid="B10-nutrients-09-00172" ref-type="bibr">10</xref>
,
<xref rid="B11-nutrients-09-00172" ref-type="bibr">11</xref>
]. Increased nutrition knowledge has been associated with improved dietary habits and lower rates of obesity [
<xref rid="B12-nutrients-09-00172" ref-type="bibr">12</xref>
,
<xref rid="B13-nutrients-09-00172" ref-type="bibr">13</xref>
,
<xref rid="B14-nutrients-09-00172" ref-type="bibr">14</xref>
]. Furthermore, prior evidence indicates that gender differences in nutrition knowledge may explain differences in unhealthy behaviours, such overeating and smoking habits [
<xref rid="B15-nutrients-09-00172" ref-type="bibr">15</xref>
,
<xref rid="B16-nutrients-09-00172" ref-type="bibr">16</xref>
]. These studies suggest that monitoring and evaluating nutrition knowledge using valid instruments is an important component of health and nutrition education.</p>
<p>In Uganda, most studies have focused on evaluating knowledge, attitudes, and practices associated with nutrition in vulnerable populations, e.g., people with HIV-AIDS, infants, and young children [
<xref rid="B17-nutrients-09-00172" ref-type="bibr">17</xref>
,
<xref rid="B18-nutrients-09-00172" ref-type="bibr">18</xref>
]. These studies, however, have inadequately evaluated nutrition knowledge. The issue stems from two major factors; disagreement on a definition of nutrition knowledge and the use of instruments that are not validated [
<xref rid="B17-nutrients-09-00172" ref-type="bibr">17</xref>
,
<xref rid="B18-nutrients-09-00172" ref-type="bibr">18</xref>
]. Nutrition knowledge is defined as the understanding of basic facts about food and nutrition [
<xref rid="B19-nutrients-09-00172" ref-type="bibr">19</xref>
,
<xref rid="B20-nutrients-09-00172" ref-type="bibr">20</xref>
,
<xref rid="B21-nutrients-09-00172" ref-type="bibr">21</xref>
,
<xref rid="B22-nutrients-09-00172" ref-type="bibr">22</xref>
]. At a very basic level, nutrition knowledge should be defined by at least two of the following concepts during evaluation; food groups, balanced diets, current dietary guidelines, sources of nutrients, storage and preparation of food, use of food labels, and the relationship between nutrition and disease [
<xref rid="B19-nutrients-09-00172" ref-type="bibr">19</xref>
,
<xref rid="B20-nutrients-09-00172" ref-type="bibr">20</xref>
,
<xref rid="B21-nutrients-09-00172" ref-type="bibr">21</xref>
,
<xref rid="B22-nutrients-09-00172" ref-type="bibr">22</xref>
,
<xref rid="B23-nutrients-09-00172" ref-type="bibr">23</xref>
,
<xref rid="B24-nutrients-09-00172" ref-type="bibr">24</xref>
]. Most studies evaluating indicators of nutrition, including knowledge, in Uganda often adapt questionnaires from elsewhere, which do not undergo the complete validation process [
<xref rid="B17-nutrients-09-00172" ref-type="bibr">17</xref>
,
<xref rid="B18-nutrients-09-00172" ref-type="bibr">18</xref>
]. The lack of validated instruments negatively affects the quality of the resulting data and its extrapolation to a wider population, as well as limiting the ability to compare results from different studies [
<xref rid="B25-nutrients-09-00172" ref-type="bibr">25</xref>
]. Additionally, not validating survey tools reduces the ability of any given study to detect associations with other modulating factors, specifically feeding behaviors [
<xref rid="B25-nutrients-09-00172" ref-type="bibr">25</xref>
]. As a result, the use of low-quality data could negatively impact policies and programs and the effective use of resources. In Uganda, this was identified as a major gap to scaling up public nutrition action [
<xref rid="B26-nutrients-09-00172" ref-type="bibr">26</xref>
].</p>
<p>In order to support future nutrition education interventions in Uganda, this study sought to validate a general nutrition knowledge questionnaire (GNKQ) for adults using a systematic approach, involving college students and head teachers.</p>
</sec>
<sec id="sec2-nutrients-09-00172">
<title>2. Materials and Methods</title>
<sec id="sec2dot1-nutrients-09-00172">
<title>2.1. Review of Existing Nutrition Knowledge Questionnaires</title>
<p>A literature search in PubMed, Web of Science, and EBSCO using the keywords ‘nutrition’ AND ‘knowledge’ AND ‘validation’ between 1 January 1999 and 31 November 2014 revealed 154, 127, and 97 studies that evaluated nutrition knowledge, respectively. Studies were excluded if they did not focus on adults, were disease-focused questionnaires, were literature reviews, or did not provide validation of any type. Based on the review of titles and abstracts, validated questionnaires of nine studies were included (
<xref ref-type="table" rid="nutrients-09-00172-t001">Table 1</xref>
) [
<xref rid="B19-nutrients-09-00172" ref-type="bibr">19</xref>
,
<xref rid="B20-nutrients-09-00172" ref-type="bibr">20</xref>
,
<xref rid="B21-nutrients-09-00172" ref-type="bibr">21</xref>
,
<xref rid="B22-nutrients-09-00172" ref-type="bibr">22</xref>
,
<xref rid="B23-nutrients-09-00172" ref-type="bibr">23</xref>
,
<xref rid="B27-nutrients-09-00172" ref-type="bibr">27</xref>
,
<xref rid="B28-nutrients-09-00172" ref-type="bibr">28</xref>
,
<xref rid="B29-nutrients-09-00172" ref-type="bibr">29</xref>
,
<xref rid="B30-nutrients-09-00172" ref-type="bibr">30</xref>
,
<xref rid="B31-nutrients-09-00172" ref-type="bibr">31</xref>
,
<xref rid="B32-nutrients-09-00172" ref-type="bibr">32</xref>
]. These studies were mainly from Europe, North America, Australia, and Africa. The questionnaire from Parmenter and Wardle (1999) [
<xref rid="B19-nutrients-09-00172" ref-type="bibr">19</xref>
] was selected because of its: (a) widespread application to build similar questionnaires in several regions including Sub-Saharan Africa [
<xref rid="B20-nutrients-09-00172" ref-type="bibr">20</xref>
,
<xref rid="B31-nutrients-09-00172" ref-type="bibr">31</xref>
]; (b) reported validity and reliability; (c) inclusion of more than two domains of nutrition knowledge; and (d) target population.</p>
<p>Validation of the GNKQ followed steps described in a previous study [
<xref rid="B24-nutrients-09-00172" ref-type="bibr">24</xref>
] and procedures from other studies [
<xref rid="B20-nutrients-09-00172" ref-type="bibr">20</xref>
,
<xref rid="B21-nutrients-09-00172" ref-type="bibr">21</xref>
]. The selected questionnaire [
<xref rid="B19-nutrients-09-00172" ref-type="bibr">19</xref>
] had four constructs (110 items) evaluating nutrition knowledge: (i) expert recommendations (11); (ii) food groups (69); (iii) selecting food (10); and (iv) relationship between nutrition and disease (20). Food composition tables for Uganda [
<xref rid="B34-nutrients-09-00172" ref-type="bibr">34</xref>
] and Tanzania [
<xref rid="B35-nutrients-09-00172" ref-type="bibr">35</xref>
] were used to modify the GNKQ draft. Items on food fortification were adapted from a study in Uganda [
<xref rid="B36-nutrients-09-00172" ref-type="bibr">36</xref>
]. Currently, the Ugandan government and developing partners are promoting fortification [
<xref rid="B3-nutrients-09-00172" ref-type="bibr">3</xref>
,
<xref rid="B26-nutrients-09-00172" ref-type="bibr">26</xref>
]. Items on sources of nutrition information and demographic characteristics were included from another study [
<xref rid="B19-nutrients-09-00172" ref-type="bibr">19</xref>
,
<xref rid="B20-nutrients-09-00172" ref-type="bibr">20</xref>
].</p>
</sec>
<sec id="sec2dot2-nutrients-09-00172">
<title>2.2. Ethical Approval</title>
<p>The Institutional Review Board at the University of Illinois and the Uganda National Council for Science and Technology approved all research protocols. The Ministry of Health, District Education Offices, and Department Heads at Makerere University provided permissions to conduct studies. All subjects provided consent before participation.</p>
</sec>
<sec id="sec2dot3-nutrients-09-00172">
<title>2.3. Study 1: Assessment of Content Validity</title>
<sec id="sec2dot3dot1-nutrients-09-00172">
<title>2.3.1. Subjects</title>
<p>An expert panel reviewed the content of the initial GNKQ draft. Contact information for the experts was obtained from the Nutrition Unit at the Ministry of Health, Kampala Uganda. Fifteen experts received the consent form along with the questionnaire electronically via Qualtrics Survey Software (2015; Qualtrics, Provo, UT, USA) [
<xref rid="B37-nutrients-09-00172" ref-type="bibr">37</xref>
]. Experts had over five years of work experience and knowledge of nutrition policies and programs in Uganda. Only five experts in the fields of health education (1), nutrition (2), agriculture (1), and education (1) completed the GNKQ. This number of experts was considered sufficient to review the instrument based on results from previous survey design studies, which used three to five experts to evaluate content validity [
<xref rid="B38-nutrients-09-00172" ref-type="bibr">38</xref>
,
<xref rid="B39-nutrients-09-00172" ref-type="bibr">39</xref>
].</p>
</sec>
<sec id="sec2dot3dot2-nutrients-09-00172" sec-type="methods">
<title>2.3.2. Procedures and Analyses</title>
<p>Experts reviewed and rated each item on its relevance, clarity, simplicity, and ambiguity to evaluate nutrition knowledge using a four-point Likert scale (1–4), representing low to high agreement. For content validity, the items under review included the question statement and its answer options. Expert reviews took at least two weeks to a month and were conducted twice, before and after face validation (Study 2). Scores on relevance were used to generate a content validity index, while clarity, simplicity, and ambiguity were used to pinpoint disagreement in the questionnaire’s structure. Also, experts recommended items to add/delete based on language, food, and nutrition policies in Uganda (
<xref ref-type="table" rid="nutrients-09-00172-t002">Table 2</xref>
). Scores evaluating the relevance of ‘items’ were dichotomized as explained in another study [
<xref rid="B40-nutrients-09-00172" ref-type="bibr">40</xref>
]. Levels ‘1’ and ‘2’ were assigned ‘0’, while ‘3’ and ‘4’ were assigned ‘1’. The content validity index (CVI) was the number of experts answering ‘3’ or ‘4’ (in agreement) divided by the total number of experts. The CVI was determined using Microsoft Excel 2010 (Microsoft, Redmond, WA, USA). The acceptable CVIs for items and constructs were 0.79 and 0.89, respectively [
<xref rid="B40-nutrients-09-00172" ref-type="bibr">40</xref>
]. Inter-rater reliability was determined using Gwet’s AC1. The command of ‘three raters or more’ in AgreeStat2013.3 (Advanced Analytics, LLC, Gaithersburg, MD, USA) [
<xref rid="B41-nutrients-09-00172" ref-type="bibr">41</xref>
] was used to estimate Gwet AC1. Benchmarks for Gwet’s AC1 were used, in which values <0.4 were poor, 0.4 to 0.75 were intermediate to good, and >0.75 were excellent [
<xref rid="B42-nutrients-09-00172" ref-type="bibr">42</xref>
].</p>
</sec>
</sec>
<sec id="sec2dot4-nutrients-09-00172">
<title>2.4. Study 2: Assessment of Face Validity</title>
<sec id="sec2dot4dot1-nutrients-09-00172" sec-type="methods">
<title>2.4.1 Subjects</title>
<p>Fifteen head teachers and twelve health workers from Kampala district filled out the modified GNKQ before attending one of three focus groups. Broad guidelines for conducting focus group discussions were used to determine the number and size of the groups [
<xref rid="B43-nutrients-09-00172" ref-type="bibr">43</xref>
]. The first two focus groups were comprised of seven (two female and five male) and five (two female and three male) head teachers. The third focus group was conducted with seven health workers (two female and five male), which included four nurses, two clinical officers, and a medical officer.</p>
</sec>
<sec id="sec2dot4dot2-nutrients-09-00172" sec-type="methods">
<title>2.4.2. Procedures and Analysis</title>
<p>Subjects reviewed and rated each item (statement and answer options) of the modified GNKQ based on clarity (Yes ‘1’ or No ‘2’) to the target group before attending a focus group. They provided reasons for unclear items. The CVI for items and constructs was calculated based on the number of participants in agreement (i.e., clarity = ‘yes’) divided by the total number of respondents [
<xref rid="B44-nutrients-09-00172" ref-type="bibr">44</xref>
]. The focus groups were conducted using the available recommendations [
<xref rid="B45-nutrients-09-00172" ref-type="bibr">45</xref>
]. Unclear items were reviewed during the focus groups. Each suggested modification was discussed until all participants agreed on clarity and there were no alternative opinions (saturation). Discussions during all focus groups were digitally recorded. Each focus group lasted two hours.</p>
</sec>
</sec>
<sec id="sec2dot5-nutrients-09-00172">
<title>2.5. Study 3: Construct Validity and Test-Retest Reliability</title>
<sec id="sec2dot5dot1-nutrients-09-00172">
<title>2.5.1. Subjects</title>
<p>Forty head teachers were recruited from private (52%) and government (48%) sponsored primary schools and from schools with (
<italic>n</italic>
= 23) and without (
<italic>n</italic>
= 17) a feeding program. The head teachers were adults (18–74 years) of both sexes (43% female). Additionally, second and third year undergraduate students from the nutrition (
<italic>n</italic>
= 52) and engineering (
<italic>n</italic>
= 49) departments at Makerere University participated in this study. The students were adults (18–34 years) of both sexes (48% female). Students from other years and departments were excluded.</p>
</sec>
<sec id="sec2dot5dot2-nutrients-09-00172" sec-type="methods">
<title>2.5.2. Procedures</title>
<p>The purpose of the pilot survey was to ascertain internal consistency, test-retest reliability, and construct validity of the items in the modified GNKQ after the second expert review. Students completed the questionnaire online via Qualtrics (2015). Head teachers completed the GNKQ at their schools. All subjects completed the same questionnaire after two weeks. The GNKQ consisted of the same five constructs and 139 items (
<xref ref-type="table" rid="nutrients-09-00172-t002">Table 2</xref>
), which represented the maximum score (i.e., 139 points). The answers were scored using a procedure previously reported [
<xref rid="B20-nutrients-09-00172" ref-type="bibr">20</xref>
], in which right answers were assigned one point and wrong ones no points. Other sections (i.e., sources of nutrition information and demographics) were not scored. All data were exported to the Statistical Package for Social Sciences (SPSS v23.0, IBM Corporation, Armonk, NY, USA) for analysis. The indices detailed below were calculated as described elsewhere [
<xref rid="B19-nutrients-09-00172" ref-type="bibr">19</xref>
].</p>
</sec>
<sec id="sec2dot5dot3-nutrients-09-00172">
<title>2.5.3. Analyses</title>
<p>Data from all subjects were used to ascertain item difficulty, item discrimination, internal consistency, and test-retest reliability but not for construct validity. Item difficulty was evaluated using benchmarks provided earlier [
<xref rid="B20-nutrients-09-00172" ref-type="bibr">20</xref>
]. Items are useful if they are answered correctly by 10%–90% of the respondents. Items that did not meet this criterion were removed from the analysis. Item discrimination is the ability for each item to discriminate between people with different levels of knowledge [
<xref rid="B19-nutrients-09-00172" ref-type="bibr">19</xref>
,
<xref rid="B46-nutrients-09-00172" ref-type="bibr">46</xref>
]. The item to total correlation coefficient, which is a correlation between an item score and the total score of the GNKQ, was obtained to evaluate item discrimination. Items with a coefficient <0.2 were removed from analysis. Internal consistency refers to the extent to which all items in the scale measure the same attribute. Cronbach alpha (α) was obtained from dichotomised (correct = 1, wrong = 0) values using SPSS23. Nutrition knowledge constructs and the whole GNKQ with α > 0.7 were considered with adequate internal consistency. Construct validity is the extent to which a test measures the attribute or variable it is intended to measure [
<xref rid="B19-nutrients-09-00172" ref-type="bibr">19</xref>
,
<xref rid="B47-nutrients-09-00172" ref-type="bibr">47</xref>
]. To ascertain construct validity, two populations with assumed different knowledge are commonly used [
<xref rid="B24-nutrients-09-00172" ref-type="bibr">24</xref>
]. Thus, differences in the GNKQ’s scores between nutrition vs. engineering students were used to assess construct validity. Differences in nutrition knowledge were evaluated using the Mann-Whitney
<italic>U</italic>
Test. Test-retest reliability demonstrates that the results produced are consistent over time. Head teachers’ and students’ scores over the two-week period were used in this estimation. Since the data were not normally distributed, the Spearman Rank correlation coefficient (r) was used. The acceptable test-retest reliability was
<italic>r</italic>
≥ 0.7.</p>
</sec>
</sec>
</sec>
<sec id="sec3-nutrients-09-00172">
<title>3. Results</title>
<p>The GNKQ for Uganda is available in
<xref ref-type="app" rid="app1-nutrients-09-00172">supplementary materials</xref>
.</p>
<sec id="sec3dot1-nutrients-09-00172">
<title>3.1. Study 1: Content Validation</title>
<p>The overall CVI on the relevance of items to evaluate nutrition knowledge after the first and second round was 0.89 and 0.97, respectively (
<xref ref-type="table" rid="nutrients-09-00172-t003">Table 3</xref>
). After the first round of expert review, only items on the constructs of ‘nutrition and disease relationship’ had an acceptable content validity index (CVI > 0.9). The expert agreement reliability on the relevance of the contents improved (Gwet’s AC1 from 0.71 to 0.96) after face validity on the second expert review.</p>
</sec>
<sec id="sec3dot2-nutrients-09-00172">
<title>3.2. Study 2: Face Validation</title>
<p>A total of 29 items from all the constructs were considered unclear (CVI < 1) by the head teachers and health workers. Only five of the 29 items had major changes as reviewed during the focus groups. The participants agreed that other items were clearly understood even though they were unsure of the definite answers. The items that were modified in the focus groups are found in the
<xref ref-type="app" rid="app1-nutrients-09-00172">supplementary materials</xref>
.</p>
</sec>
<sec id="sec3dot3-nutrients-09-00172">
<title>3.3. Study 3: Internal Consistency, Test-Retest Reliability and Construct Validity</title>
<p>Characteristics of the participants are presented in
<xref ref-type="table" rid="nutrients-09-00172-t004">Table 4</xref>
. The results of internal consistency and test-retest reliability are presented in
<xref ref-type="table" rid="nutrients-09-00172-t005">Table 5</xref>
. For all participants, the internal consistency after the first and second round of surveys and before deleting any items were; knowledge of ‘food groups’ (α = 0.81 and 0.81), ‘relationships between nutrition and diseases’ (α = 0.77 and 0.84), ‘food fortification’ (α = 0.94 and 0.93), ‘expert recommendations’ (α = 0.46 and 0.56), and ‘selecting food’ (α = 0.40 and 0.38), respectively.</p>
<p>After the deletion of items using the criteria of item difficulty and discrimination, ‘selecting food’ for the first and second round was α = 0.92 and α = 0.84. However, the entire ‘expert recommendations’ construct was eliminated during analysis because of unacceptable internal consistency (α = 0.59). The test-retest reliability for items in the constructs on ‘expert recommendations’ and ‘selecting food’ were unacceptable (
<italic>r</italic>
< 0.7) before deleting the items with unacceptable item difficulty, discrimination, and internal consistency. Apart from ‘expert recommendations,’ other constructs had acceptable (
<italic>r</italic>
> 0.7) test-retest reliability after deleting items. Differences in scores for the whole survey and each construct after the second round of data collection showed that nutrition students had higher scores (
<italic>U</italic>
= 29,
<italic>p</italic>
< 0.001) than their counterparts in engineering (
<xref ref-type="table" rid="nutrients-09-00172-t006">Table 6</xref>
). Head teachers total scores were 43.9 ± 9.7.</p>
</sec>
</sec>
<sec id="sec4-nutrients-09-00172">
<title>4. Discussion</title>
<p>Currently, there is no valid tool to collect general nutrition knowledge in Uganda or the great majority of countries in Sub-Saharan Africa. The initial GNKQ (133 items) was reviewed to include commonly consumed food items in Uganda [
<xref rid="B34-nutrients-09-00172" ref-type="bibr">34</xref>
,
<xref rid="B35-nutrients-09-00172" ref-type="bibr">35</xref>
], the concept of ‘food fortification,’ and current nutrition-related guidelines and policies in Uganda (
<xref ref-type="table" rid="nutrients-09-00172-t002">Table 2</xref>
) [
<xref rid="B26-nutrients-09-00172" ref-type="bibr">26</xref>
,
<xref rid="B48-nutrients-09-00172" ref-type="bibr">48</xref>
,
<xref rid="B49-nutrients-09-00172" ref-type="bibr">49</xref>
]. Five experts in nutrition-related disciplines reviewed the first GNKQ drafts resulting in high consensus on the relevance of constructs (CVI and Gwet’s AC1 > 0.96). Previous studies have used at least three experts to review similar questionnaires aimed at evaluating the nutrition knowledge of adults [
<xref rid="B19-nutrients-09-00172" ref-type="bibr">19</xref>
,
<xref rid="B20-nutrients-09-00172" ref-type="bibr">20</xref>
,
<xref rid="B27-nutrients-09-00172" ref-type="bibr">27</xref>
,
<xref rid="B28-nutrients-09-00172" ref-type="bibr">28</xref>
,
<xref rid="B29-nutrients-09-00172" ref-type="bibr">29</xref>
,
<xref rid="B30-nutrients-09-00172" ref-type="bibr">30</xref>
,
<xref rid="B31-nutrients-09-00172" ref-type="bibr">31</xref>
]. None of these studies, however, reported the level of agreement among experts on the relevance of the contents of the different constructs of the GNKQs. The content validity index (CVI) is a one proportion agreement method that has been used in the past to quantitatively estimate content validity [
<xref rid="B40-nutrients-09-00172" ref-type="bibr">40</xref>
,
<xref rid="B44-nutrients-09-00172" ref-type="bibr">44</xref>
]. Experts in survey evaluation suggest reporting at least two measures of agreement [
<xref rid="B40-nutrients-09-00172" ref-type="bibr">40</xref>
,
<xref rid="B50-nutrients-09-00172" ref-type="bibr">50</xref>
,
<xref rid="B51-nutrients-09-00172" ref-type="bibr">51</xref>
,
<xref rid="B52-nutrients-09-00172" ref-type="bibr">52</xref>
]. Relying on only CVI is not adequate because it might inflate agreement among experts since there is no adjustment for chance agreement [
<xref rid="B50-nutrients-09-00172" ref-type="bibr">50</xref>
]. Gwet’s AC1 was used as a second measure of agreement because of the small sample size of experts and stability concerns of the Kappa statistic. Gwet’s AC1 is a more stable measure of interrater agreement reliability than the commonly used kappa statistic [
<xref rid="B42-nutrients-09-00172" ref-type="bibr">42</xref>
]. The recommended minimum item-CVI is 0.8, while the scale-CVI is 0.9, when using a panel of five or more experts. In the case that less than five experts review the questionnaire, there should be a perfect agreement, i.e., a CVI of 1.0 [
<xref rid="B40-nutrients-09-00172" ref-type="bibr">40</xref>
,
<xref rid="B44-nutrients-09-00172" ref-type="bibr">44</xref>
]. A Gwet’s AC1 above 0.4 represents intermediate to excellent agreement reliability [
<xref rid="B42-nutrients-09-00172" ref-type="bibr">42</xref>
]. Therefore, the GNKQ for Uganda had adequate content validity.</p>
<p>The results from overall internal consistency, test-retest reliability, and construct validity of the questionnaire before and after the deletion of items based on item difficulty and discrimination were adequate and comparable to other studies [
<xref rid="B19-nutrients-09-00172" ref-type="bibr">19</xref>
,
<xref rid="B27-nutrients-09-00172" ref-type="bibr">27</xref>
,
<xref rid="B28-nutrients-09-00172" ref-type="bibr">28</xref>
,
<xref rid="B32-nutrients-09-00172" ref-type="bibr">32</xref>
,
<xref rid="B46-nutrients-09-00172" ref-type="bibr">46</xref>
]. Results from the validation of a similar questionnaire for adults (
<italic>n</italic>
= 125 college students) in Turkey [
<xref rid="B27-nutrients-09-00172" ref-type="bibr">27</xref>
] yielded poor internal consistency for knowledge on ‘dietary recommendations’ (α = 0.47) and ‘choosing foods’ (α = 0.43). These results are comparable to those in this study after the first round of validation with students. Similar to previous studies [
<xref rid="B19-nutrients-09-00172" ref-type="bibr">19</xref>
,
<xref rid="B27-nutrients-09-00172" ref-type="bibr">27</xref>
,
<xref rid="B28-nutrients-09-00172" ref-type="bibr">28</xref>
,
<xref rid="B32-nutrients-09-00172" ref-type="bibr">32</xref>
,
<xref rid="B46-nutrients-09-00172" ref-type="bibr">46</xref>
], the internal consistency (α > 0.7) and test-retest reliability (
<italic>r</italic>
> 0.7) were adequate for three domains of nutrition knowledge i.e., sources of nutrients, food selection, and diet and disease relationship. The poor results on ‘expert recommendations’ may be due to discordant interpretations of nutrition messages partly attributed to limited nutrition education promotion and a lack of unified dietary guidelines in Uganda [
<xref rid="B24-nutrients-09-00172" ref-type="bibr">24</xref>
]. Low internal consistency has also been attributed to the heterogeneity of populations with a varied education background [
<xref rid="B22-nutrients-09-00172" ref-type="bibr">22</xref>
,
<xref rid="B34-nutrients-09-00172" ref-type="bibr">34</xref>
]. The current study included teachers and students with different education backgrounds. Administering the GNKQ to a larger homogenous sample (e.g., head teachers only) could improve these findings on internal consistency. All versions of the GNKQ validated in different countries showed good construct validity [
<xref rid="B19-nutrients-09-00172" ref-type="bibr">19</xref>
,
<xref rid="B27-nutrients-09-00172" ref-type="bibr">27</xref>
,
<xref rid="B28-nutrients-09-00172" ref-type="bibr">28</xref>
,
<xref rid="B32-nutrients-09-00172" ref-type="bibr">32</xref>
,
<xref rid="B46-nutrients-09-00172" ref-type="bibr">46</xref>
]. Similar to these studies, nutrition students scored higher than engineering students on the overall score and in each topic, demonstrating that the GNKQ has adequate construct validity.</p>
<p>Even though results obtained in this study support the validity of the questionnaire to evaluate the nutrition knowledge of adults, there are some limitations. In this study, the focus was on developing a nutrition knowledge questionnaire for adults with the ultimate goal to evaluate nutrition knowledge among head teachers, as they are often recruited in the implementation of government nutrition policies. The educational attainment of head teachers is higher than most of the low-income population in Uganda, which requires further adaptation of the GNKQ for populations with limited education. In addition, the GNKQ mainly evaluates declarative rather than procedural knowledge. The questionnaire, however, could be used as a first step in the evaluation of attitudes and behaviors toward nutrition. Although very common in the literature, the use of students to evaluate construct validity may not be appropriate to establish this attribute in a more diverse adult population.</p>
<p>The development of instruments to collect valid and reliable data is critical for both scientists and practitioners, particularly in Sub-Saharan Africa. The items in the revised GNKQ draft had good validity and reliability in a sample obtained from Kampala district. Kampala is represented by diverse population groups including urban, peri-urban, rural, agricultural, cultural groups, the affluent, and the poor. This diversity potentiates the ability of the GNKQ to obtain valid results when used in other regions. Potentially, the questionnaire can be used to collect information on nutrition knowledge and its change after interventions among various population groups, especially opinion leaders or influential agents such as teachers, agriculture extension agents, and health workers. Moreover, the adaptability of the questionnaire can be evaluated in other countries in Sub-Saharan Africa. </p>
</sec>
<sec id="sec5-nutrients-09-00172">
<title>5. Conclusions</title>
<p>The results demonstrate that the final draft of the GNKQ has items that can be used to collect valid and reliable nutrition knowledge data from adults in Uganda. The items had acceptable construct, content and face validity, internal consistency, and test-retest reliability. The topic on ‘expert opinions’ requires further validation. Future studies will continue the validation of this questionnaire in a larger population as well as address its predictive validity on nutrition and health behavior changes among adults.</p>
</sec>
</body>
<back>
<ack>
<title>Acknowledgments</title>
<p>This material is based upon work supported in part by the United States Agency for International Development, the Feed the Future initiative (The CGIAR Fund, BFS-G-11-00002, and the Food Security and Crisis Mitigation II grant, EEM-G-00-04-00013), the Graduate College‘s Focal Point—U-COUNT project, and the Margin of Excellence funds from the DNS, University of Illinois. The authors thank the Department of Food Technology and Human Nutrition, Makerere University; the Nutrition Unit, Ministry of Health, Kampala; and the Kampala Capital City Authority for their contributions. Special thanks to expert panelists, students, head teachers, and health workers who participated in this study.</p>
</ack>
<app-group>
<app id="app1-nutrients-09-00172">
<title>Supplementary Materials</title>
<p>The following are available online at
<uri xlink:type="simple" xlink:href="http://www.mdpi.com/2072-6643/9/2/172/s1">http://www.mdpi.com/2072-6643/9/2/172/s1</uri>
.</p>
<supplementary-material content-type="local-data" id="nutrients-09-00172-s001">
<media xlink:href="nutrients-09-00172-s001.pdf">
<caption>
<p>Click here for additional data file.</p>
</caption>
</media>
</supplementary-material>
</app>
</app-group>
<notes>
<title>Author Contributions</title>
<p>R.B. and J.E.A. conceived and designed the experiments; R.B. performed the experiments; R.B., J.M.A. and A.A. mined and analyzed the data; J.E.A. contributed materials and analysis tools; R.B., D.S.G.-T., J.M.A., J.M. and J.E.A. wrote the paper.</p>
</notes>
<notes notes-type="COI-statement">
<title>Conflicts of Interest</title>
<p>The authors declare no conflict of interest.</p>
</notes>
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<p>Studies selected in the final review to draft the initial general nutrition knowledge questionnaire (GNKQ) for adults in Uganda.</p>
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<table frame="hsides" rules="groups">
<thead>
<tr>
<th rowspan="2" align="center" valign="middle" style="border-top:solid thin;border-bottom:solid thin" colspan="1">Region/Country</th>
<th rowspan="2" align="center" valign="middle" style="border-top:solid thin;border-bottom:solid thin" colspan="1">Ref.</th>
<th rowspan="2" align="center" valign="middle" style="border-top:solid thin;border-bottom:solid thin" colspan="1">Year</th>
<th rowspan="2" align="center" valign="middle" style="border-top:solid thin;border-bottom:solid thin" colspan="1">Target Group</th>
<th rowspan="2" align="center" valign="middle" style="border-top:solid thin;border-bottom:solid thin" colspan="1">No. of Topics on Nutrition</th>
<th colspan="5" align="center" valign="middle" style="border-top:solid thin;border-bottom:solid thin" rowspan="1">Were Validation Steps Reported during the Psychometric Tool Development? (Yes/No)</th>
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<tr>
<th align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">Content Validity</th>
<th align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">Face Validity</th>
<th align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">Internal Consistency</th>
<th align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">Construct Validity</th>
<th align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">Test-Retest Reliability</th>
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<td rowspan="3" align="center" valign="middle" style="border-bottom:solid thin" colspan="1">Uganda</td>
<td align="center" valign="middle" rowspan="1" colspan="1">[
<xref rid="B17-nutrients-09-00172" ref-type="bibr">17</xref>
]</td>
<td align="center" valign="middle" rowspan="1" colspan="1">2010</td>
<td align="center" valign="middle" rowspan="1" colspan="1">Adults</td>
<td align="center" valign="middle" rowspan="1" colspan="1">4</td>
<td align="center" valign="middle" rowspan="1" colspan="1">No</td>
<td align="center" valign="middle" rowspan="1" colspan="1">No</td>
<td align="center" valign="middle" rowspan="1" colspan="1">No</td>
<td align="center" valign="middle" rowspan="1" colspan="1">No</td>
<td align="center" valign="middle" rowspan="1" colspan="1">No</td>
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<tr>
<td align="center" valign="middle" rowspan="1" colspan="1">[
<xref rid="B18-nutrients-09-00172" ref-type="bibr">18</xref>
]</td>
<td align="center" valign="middle" rowspan="1" colspan="1">2005</td>
<td align="center" valign="middle" rowspan="1" colspan="1">Adults</td>
<td align="center" valign="middle" rowspan="1" colspan="1">1</td>
<td align="center" valign="middle" rowspan="1" colspan="1">No</td>
<td align="center" valign="middle" rowspan="1" colspan="1">No</td>
<td align="center" valign="middle" rowspan="1" colspan="1">No</td>
<td align="center" valign="middle" rowspan="1" colspan="1">No</td>
<td align="center" valign="middle" rowspan="1" colspan="1">No</td>
</tr>
<tr>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">[
<xref rid="B33-nutrients-09-00172" ref-type="bibr">33</xref>
]</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">2015</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">Adults</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">1</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">No</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">No</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">No</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">No</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">No</td>
</tr>
<tr>
<td rowspan="2" align="center" valign="middle" style="border-bottom:solid thin" colspan="1">Sub-Saharan Africa</td>
<td align="center" valign="middle" rowspan="1" colspan="1">[
<xref rid="B20-nutrients-09-00172" ref-type="bibr">20</xref>
]</td>
<td align="center" valign="middle" rowspan="1" colspan="1">2005</td>
<td align="center" valign="middle" rowspan="1" colspan="1">Youth</td>
<td align="center" valign="middle" rowspan="1" colspan="1">5</td>
<td align="center" valign="middle" rowspan="1" colspan="1">Yes</td>
<td align="center" valign="middle" rowspan="1" colspan="1">Yes</td>
<td align="center" valign="middle" rowspan="1" colspan="1">Yes</td>
<td align="center" valign="middle" rowspan="1" colspan="1">Yes</td>
<td align="center" valign="middle" rowspan="1" colspan="1">No</td>
</tr>
<tr>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">[
<xref rid="B31-nutrients-09-00172" ref-type="bibr">31</xref>
]</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">2008</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">Adults</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">1</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">Yes</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">Yes</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">Yes</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">Yes</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">No</td>
</tr>
<tr>
<td rowspan="3" align="center" valign="middle" style="border-bottom:solid thin" colspan="1">Americas</td>
<td align="center" valign="middle" rowspan="1" colspan="1">[
<xref rid="B23-nutrients-09-00172" ref-type="bibr">23</xref>
]</td>
<td align="center" valign="middle" rowspan="1" colspan="1">1997</td>
<td align="center" valign="middle" rowspan="1" colspan="1">Adults</td>
<td align="center" valign="middle" rowspan="1" colspan="1">2</td>
<td align="center" valign="middle" rowspan="1" colspan="1">Yes</td>
<td align="center" valign="middle" rowspan="1" colspan="1">No</td>
<td align="center" valign="middle" rowspan="1" colspan="1">Yes</td>
<td align="center" valign="middle" rowspan="1" colspan="1">Yes</td>
<td align="center" valign="middle" rowspan="1" colspan="1">No</td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="1" colspan="1">[
<xref rid="B29-nutrients-09-00172" ref-type="bibr">29</xref>
]</td>
<td align="center" valign="middle" rowspan="1" colspan="1">2003</td>
<td align="center" valign="middle" rowspan="1" colspan="1">Adults</td>
<td align="center" valign="middle" rowspan="1" colspan="1">2</td>
<td align="center" valign="middle" rowspan="1" colspan="1">Yes</td>
<td align="center" valign="middle" rowspan="1" colspan="1">Yes</td>
<td align="center" valign="middle" rowspan="1" colspan="1">Yes</td>
<td align="center" valign="middle" rowspan="1" colspan="1">Yes</td>
<td align="center" valign="middle" rowspan="1" colspan="1">Yes</td>
</tr>
<tr>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">[
<xref rid="B32-nutrients-09-00172" ref-type="bibr">32</xref>
]</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">2009</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">Adults</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">6</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">Yes</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">Yes</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">Yes</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">No</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">No</td>
</tr>
<tr>
<td rowspan="3" align="center" valign="middle" style="border-bottom:solid thin" colspan="1">Europe</td>
<td align="center" valign="middle" rowspan="1" colspan="1">[
<xref rid="B19-nutrients-09-00172" ref-type="bibr">19</xref>
]</td>
<td align="center" valign="middle" rowspan="1" colspan="1">1999</td>
<td align="center" valign="middle" rowspan="1" colspan="1">Adults</td>
<td align="center" valign="middle" rowspan="1" colspan="1">4</td>
<td align="center" valign="middle" rowspan="1" colspan="1">Yes</td>
<td align="center" valign="middle" rowspan="1" colspan="1">No</td>
<td align="center" valign="middle" rowspan="1" colspan="1">Yes</td>
<td align="center" valign="middle" rowspan="1" colspan="1">Yes</td>
<td align="center" valign="middle" rowspan="1" colspan="1">Yes</td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="1" colspan="1">[
<xref rid="B27-nutrients-09-00172" ref-type="bibr">27</xref>
]</td>
<td align="center" valign="middle" rowspan="1" colspan="1">2012</td>
<td align="center" valign="middle" rowspan="1" colspan="1">Adults</td>
<td align="center" valign="middle" rowspan="1" colspan="1">4</td>
<td align="center" valign="middle" rowspan="1" colspan="1">Yes</td>
<td align="center" valign="middle" rowspan="1" colspan="1">Yes</td>
<td align="center" valign="middle" rowspan="1" colspan="1">Yes</td>
<td align="center" valign="middle" rowspan="1" colspan="1">Yes</td>
<td align="center" valign="middle" rowspan="1" colspan="1">Yes</td>
</tr>
<tr>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">[
<xref rid="B30-nutrients-09-00172" ref-type="bibr">30</xref>
]</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">2013</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">Adults</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">2</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">Yes</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">Yes</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">Yes</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">Yes</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">Yes</td>
</tr>
<tr>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">Australia</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">[
<xref rid="B28-nutrients-09-00172" ref-type="bibr">28</xref>
]</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">2008</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">Adults</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">4</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">Yes</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">Yes</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">Yes</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">Yes</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">Yes</td>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap id="nutrients-09-00172-t002" position="float">
<object-id pub-id-type="pii">nutrients-09-00172-t002_Table 2</object-id>
<label>Table 2</label>
<caption>
<p>Units of analysis for content validity and reliability analyses.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th rowspan="3" align="center" valign="middle" style="border-top:solid thin;border-bottom:solid thin" colspan="1">Topic on General Nutrition</th>
<th colspan="2" align="center" valign="middle" style="border-top:solid thin;border-bottom:solid thin" rowspan="1">Study 1</th>
<th colspan="2" align="center" valign="middle" style="border-top:solid thin;border-bottom:solid thin" rowspan="1">Study 3</th>
</tr>
<tr>
<th align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">First Draft</th>
<th align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">After Content and Face Validity</th>
<th align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">After Content and Face Validity</th>
<th align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">After difficulty, Discrimination, & Internal Consistency Analysis</th>
</tr>
<tr>
<th colspan="2" align="center" valign="middle" style="border-bottom:solid thin" rowspan="1">Items (Statements/Answer Options)</th>
<th colspan="2" align="center" valign="middle" style="border-bottom:solid thin" rowspan="1">Items (Answer Options)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="center" valign="middle" rowspan="1" colspan="1">Expert Recommendations</td>
<td align="center" valign="middle" rowspan="1" colspan="1">4/16</td>
<td align="center" valign="middle" rowspan="1" colspan="1">4/16</td>
<td align="center" valign="middle" rowspan="1" colspan="1">16</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0</td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="1" colspan="1">Food groups</td>
<td align="center" valign="middle" rowspan="1" colspan="1">21/70</td>
<td align="center" valign="middle" rowspan="1" colspan="1">17/66</td>
<td align="center" valign="middle" rowspan="1" colspan="1">66</td>
<td align="center" valign="middle" rowspan="1" colspan="1">41</td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="1" colspan="1">Selecting foods</td>
<td align="center" valign="middle" rowspan="1" colspan="1">10/10</td>
<td align="center" valign="middle" rowspan="1" colspan="1">10/10</td>
<td align="center" valign="middle" rowspan="1" colspan="1">10</td>
<td align="center" valign="middle" rowspan="1" colspan="1">2</td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="1" colspan="1">Relationship of nutrition and disease</td>
<td align="center" valign="middle" rowspan="1" colspan="1">10/23</td>
<td align="center" valign="middle" rowspan="1" colspan="1">11/24</td>
<td align="center" valign="middle" rowspan="1" colspan="1">24</td>
<td align="center" valign="middle" rowspan="1" colspan="1">14</td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="1" colspan="1">Food fortification</td>
<td align="center" valign="middle" rowspan="1" colspan="1">3/14</td>
<td align="center" valign="middle" rowspan="1" colspan="1">5/23</td>
<td align="center" valign="middle" rowspan="1" colspan="1">23</td>
<td align="center" valign="middle" rowspan="1" colspan="1">22</td>
</tr>
<tr>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">Total</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">48/133</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">47/139</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">139</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">79</td>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap id="nutrients-09-00172-t003" position="float">
<object-id pub-id-type="pii">nutrients-09-00172-t003_Table 3</object-id>
<label>Table 3</label>
<caption>
<p>Content validity index (CVI) and reliability of expert agreements before and after face validation.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th rowspan="2" align="center" valign="middle" style="border-top:solid thin;border-bottom:solid thin" colspan="1">Topics (No. of Items after 1st/2nd Review)</th>
<th colspan="3" align="center" valign="middle" style="border-top:solid thin;border-bottom:solid thin" rowspan="1">First Round</th>
<th colspan="3" align="center" valign="middle" style="border-top:solid thin;border-bottom:solid thin" rowspan="1">Second Round</th>
</tr>
<tr>
<th align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">CVI</th>
<th align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">Gwet’s AC1</th>
<th align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">
<italic>p</italic>
-Value</th>
<th align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">CVI</th>
<th align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">Gwet’s AC1</th>
<th align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">
<italic>p</italic>
-Value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="center" valign="middle" rowspan="1" colspan="1">Expert Recommendations (4/4)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.85</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.60</td>
<td align="center" valign="middle" rowspan="1" colspan="1"><0.05</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.90</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.89</td>
<td align="center" valign="middle" rowspan="1" colspan="1"><0.05</td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="1" colspan="1">Food groups (21/17)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.88</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.81</td>
<td align="center" valign="middle" rowspan="1" colspan="1"><0.05</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.93</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.92</td>
<td align="center" valign="middle" rowspan="1" colspan="1"><0.05</td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="1" colspan="1">Food choices (10, 10)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.84</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.62</td>
<td align="center" valign="middle" rowspan="1" colspan="1"><0.05</td>
<td align="center" valign="middle" rowspan="1" colspan="1">1.00</td>
<td align="center" valign="middle" rowspan="1" colspan="1">1.00</td>
<td align="center" valign="middle" rowspan="1" colspan="1"><0.05</td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="1" colspan="1">Relationship of nutrition and disease (10/11)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.96</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.91</td>
<td align="center" valign="middle" rowspan="1" colspan="1"><0.05</td>
<td align="center" valign="middle" rowspan="1" colspan="1">1.00</td>
<td align="center" valign="middle" rowspan="1" colspan="1">1.00</td>
<td align="center" valign="middle" rowspan="1" colspan="1"><0.05</td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="1" colspan="1">Food fortification (3/5)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.73</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.23</td>
<td align="center" valign="middle" rowspan="1" colspan="1">>0.05</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.92</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.91</td>
<td align="center" valign="middle" rowspan="1" colspan="1"><0.05</td>
</tr>
<tr>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">
<italic>Whole Questionnaire (48/47)</italic>
</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">0.89</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">0.71</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1"><0.05</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">0.97</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">0.96</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1"><0.05</td>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap id="nutrients-09-00172-t004" position="float">
<object-id pub-id-type="pii">nutrients-09-00172-t004_Table 4</object-id>
<label>Table 4</label>
<caption>
<p>Characteristics of the participants in the test-retest study.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th rowspan="2" align="center" valign="middle" style="border-top:solid thin;border-bottom:solid thin" colspan="1">Characteristic</th>
<th colspan="2" align="center" valign="middle" style="border-top:solid thin;border-bottom:solid thin" rowspan="1">Nutrition Students (
<italic>n</italic>
= 40)</th>
<th colspan="2" align="center" valign="middle" style="border-top:solid thin;border-bottom:solid thin" rowspan="1">Engineering Students (
<italic>n</italic>
= 37)</th>
<th colspan="2" align="center" valign="middle" style="border-top:solid thin;border-bottom:solid thin" rowspan="1">Head Teachers (
<italic>n</italic>
= 40)</th>
</tr>
<tr>
<th align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">
<italic>n</italic>
</th>
<th align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">%</th>
<th align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">
<italic>n</italic>
</th>
<th align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">%</th>
<th align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">
<italic>n</italic>
</th>
<th align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">%</th>
</tr>
</thead>
<tbody>
<tr>
<td colspan="7" align="left" valign="middle" style="border-bottom:solid thin" rowspan="1">
<italic>Gender</italic>
</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="1" colspan="1"> Male</td>
<td align="center" valign="middle" rowspan="1" colspan="1">14</td>
<td align="center" valign="middle" rowspan="1" colspan="1">35</td>
<td align="center" valign="middle" rowspan="1" colspan="1">26</td>
<td align="center" valign="middle" rowspan="1" colspan="1">70.3</td>
<td align="center" valign="middle" rowspan="1" colspan="1">23</td>
<td align="center" valign="middle" rowspan="1" colspan="1">57</td>
</tr>
<tr>
<td align="left" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1"> Female</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">26</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">65</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">11</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">29.7</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">17</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">43</td>
</tr>
<tr align="left">
<td colspan="7" valign="middle" style="border-bottom:solid thin" rowspan="1">
<italic>Age</italic>
</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="1" colspan="1"> 18–24</td>
<td align="center" valign="middle" rowspan="1" colspan="1">35</td>
<td align="center" valign="middle" rowspan="1" colspan="1">87</td>
<td align="center" valign="middle" rowspan="1" colspan="1">33</td>
<td align="center" valign="middle" rowspan="1" colspan="1">89</td>
<td align="center" valign="middle" rowspan="1" colspan="1"></td>
<td align="center" valign="middle" rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="1" colspan="1"> 25–34</td>
<td align="center" valign="middle" rowspan="1" colspan="1">5</td>
<td align="center" valign="middle" rowspan="1" colspan="1">13</td>
<td align="center" valign="middle" rowspan="1" colspan="1">4</td>
<td align="center" valign="middle" rowspan="1" colspan="1">11</td>
<td align="center" valign="middle" rowspan="1" colspan="1">8</td>
<td align="center" valign="middle" rowspan="1" colspan="1">20</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="1" colspan="1"> 35–44</td>
<td align="center" valign="middle" rowspan="1" colspan="1"></td>
<td align="center" valign="middle" rowspan="1" colspan="1"></td>
<td align="center" valign="middle" rowspan="1" colspan="1"></td>
<td align="center" valign="middle" rowspan="1" colspan="1"></td>
<td align="center" valign="middle" rowspan="1" colspan="1">10</td>
<td align="center" valign="middle" rowspan="1" colspan="1">25</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="1" colspan="1"> 45–54</td>
<td align="center" valign="middle" rowspan="1" colspan="1"></td>
<td align="center" valign="middle" rowspan="1" colspan="1"></td>
<td align="center" valign="middle" rowspan="1" colspan="1"></td>
<td align="center" valign="middle" rowspan="1" colspan="1"></td>
<td align="center" valign="middle" rowspan="1" colspan="1">15</td>
<td align="center" valign="middle" rowspan="1" colspan="1">38</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="1" colspan="1"> 55–64</td>
<td align="center" valign="middle" rowspan="1" colspan="1"></td>
<td align="center" valign="middle" rowspan="1" colspan="1"></td>
<td align="center" valign="middle" rowspan="1" colspan="1"></td>
<td align="center" valign="middle" rowspan="1" colspan="1"></td>
<td align="center" valign="middle" rowspan="1" colspan="1">6</td>
<td align="center" valign="middle" rowspan="1" colspan="1">15</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="1" colspan="1"> 65–74</td>
<td align="center" valign="middle" rowspan="1" colspan="1"></td>
<td align="center" valign="middle" rowspan="1" colspan="1"></td>
<td align="center" valign="middle" rowspan="1" colspan="1"></td>
<td align="center" valign="middle" rowspan="1" colspan="1"></td>
<td align="center" valign="middle" rowspan="1" colspan="1">1</td>
<td align="center" valign="middle" rowspan="1" colspan="1">2</td>
</tr>
<tr>
<td align="left" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1"> ≥75</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1"></td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1"></td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1"></td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1"></td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1"></td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1"></td>
</tr>
<tr align="left">
<td colspan="7" valign="middle" style="border-bottom:solid thin" rowspan="1">
<italic>Education</italic>
</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="1" colspan="1"> Ordinary Secondary school</td>
<td align="center" valign="middle" rowspan="1" colspan="1"></td>
<td align="center" valign="middle" rowspan="1" colspan="1"></td>
<td align="center" valign="middle" rowspan="1" colspan="1"></td>
<td align="center" valign="middle" rowspan="1" colspan="1"></td>
<td align="center" valign="middle" rowspan="1" colspan="1">2</td>
<td align="center" valign="middle" rowspan="1" colspan="1">5</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="1" colspan="1"> High School (A’ level)</td>
<td align="center" valign="middle" rowspan="1" colspan="1"></td>
<td align="center" valign="middle" rowspan="1" colspan="1"></td>
<td align="center" valign="middle" rowspan="1" colspan="1"></td>
<td align="center" valign="middle" rowspan="1" colspan="1"></td>
<td align="center" valign="middle" rowspan="1" colspan="1">1</td>
<td align="center" valign="middle" rowspan="1" colspan="1">2</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="1" colspan="1"> Technical college</td>
<td align="center" valign="middle" rowspan="1" colspan="1"></td>
<td align="center" valign="middle" rowspan="1" colspan="1"></td>
<td align="center" valign="middle" rowspan="1" colspan="1"></td>
<td align="center" valign="middle" rowspan="1" colspan="1"></td>
<td align="center" valign="middle" rowspan="1" colspan="1">1</td>
<td align="center" valign="middle" rowspan="1" colspan="1">2</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="1" colspan="1"> Diploma</td>
<td align="center" valign="middle" rowspan="1" colspan="1"></td>
<td align="center" valign="middle" rowspan="1" colspan="1"></td>
<td align="center" valign="middle" rowspan="1" colspan="1"></td>
<td align="center" valign="middle" rowspan="1" colspan="1"></td>
<td align="center" valign="middle" rowspan="1" colspan="1">17</td>
<td align="center" valign="middle" rowspan="1" colspan="1">43</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="1" colspan="1"> Degree</td>
<td align="center" valign="middle" rowspan="1" colspan="1"></td>
<td align="center" valign="middle" rowspan="1" colspan="1"></td>
<td align="center" valign="middle" rowspan="1" colspan="1"></td>
<td align="center" valign="middle" rowspan="1" colspan="1"></td>
<td align="center" valign="middle" rowspan="1" colspan="1">14</td>
<td align="center" valign="middle" rowspan="1" colspan="1">35</td>
</tr>
<tr>
<td align="left" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1"> Post graduate degree</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1"></td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1"></td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1"></td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1"></td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">7</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">13</td>
</tr>
<tr align="left">
<td colspan="7" valign="middle" style="border-bottom:solid thin" rowspan="1">
<italic>Number of children</italic>
</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="1" colspan="1"> None</td>
<td align="center" valign="middle" rowspan="1" colspan="1">37</td>
<td align="center" valign="middle" rowspan="1" colspan="1">92</td>
<td align="center" valign="middle" rowspan="1" colspan="1">36</td>
<td align="center" valign="middle" rowspan="1" colspan="1">97</td>
<td align="center" valign="middle" rowspan="1" colspan="1">2</td>
<td align="center" valign="middle" rowspan="1" colspan="1">5</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="1" colspan="1"> 1</td>
<td align="center" valign="middle" rowspan="1" colspan="1">2</td>
<td align="center" valign="middle" rowspan="1" colspan="1">5</td>
<td align="center" valign="middle" rowspan="1" colspan="1">1</td>
<td align="center" valign="middle" rowspan="1" colspan="1">3</td>
<td align="center" valign="middle" rowspan="1" colspan="1">2</td>
<td align="center" valign="middle" rowspan="1" colspan="1">5</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="1" colspan="1"> 2</td>
<td align="center" valign="middle" rowspan="1" colspan="1">1</td>
<td align="center" valign="middle" rowspan="1" colspan="1">3</td>
<td align="center" valign="middle" rowspan="1" colspan="1"></td>
<td align="center" valign="middle" rowspan="1" colspan="1"></td>
<td align="center" valign="middle" rowspan="1" colspan="1">8</td>
<td align="center" valign="middle" rowspan="1" colspan="1">20</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="1" colspan="1"> 3</td>
<td align="center" valign="middle" rowspan="1" colspan="1"></td>
<td align="center" valign="middle" rowspan="1" colspan="1"></td>
<td align="center" valign="middle" rowspan="1" colspan="1"></td>
<td align="center" valign="middle" rowspan="1" colspan="1"></td>
<td align="center" valign="middle" rowspan="1" colspan="1">5</td>
<td align="center" valign="middle" rowspan="1" colspan="1">13</td>
</tr>
<tr>
<td align="left" valign="middle" rowspan="1" colspan="1"> 4</td>
<td align="center" valign="middle" rowspan="1" colspan="1"></td>
<td align="center" valign="middle" rowspan="1" colspan="1"></td>
<td align="center" valign="middle" rowspan="1" colspan="1"></td>
<td align="center" valign="middle" rowspan="1" colspan="1"></td>
<td align="center" valign="middle" rowspan="1" colspan="1">9</td>
<td align="center" valign="middle" rowspan="1" colspan="1">22</td>
</tr>
<tr>
<td align="left" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1"> ≥5</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1"></td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1"></td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1"></td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1"></td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">14</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">35</td>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap id="nutrients-09-00172-t005" position="float">
<object-id pub-id-type="pii">nutrients-09-00172-t005_Table 5</object-id>
<label>Table 5</label>
<caption>
<p>Internal consistency and test-retest reliability of the items in the GNKQ before and after the deletion of items based on item difficulty and discrimination.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th rowspan="3" align="center" valign="middle" style="border-top:solid thin;border-bottom:solid thin" colspan="1">Topic on General Nutrition</th>
<th colspan="4" align="center" valign="middle" style="border-top:solid thin;border-bottom:solid thin" rowspan="1">Internal Reliability (α)</th>
<th colspan="2" align="center" valign="middle" style="border-top:solid thin;border-bottom:solid thin" rowspan="1">Test-Retest Reliability</th>
</tr>
<tr>
<th colspan="2" align="center" valign="middle" style="border-bottom:solid thin" rowspan="1">Before</th>
<th colspan="2" align="center" valign="middle" style="border-bottom:solid thin" rowspan="1">After</th>
<th rowspan="2" align="center" valign="middle" style="border-bottom:solid thin" colspan="1">Before</th>
<th rowspan="2" align="center" valign="middle" style="border-bottom:solid thin" colspan="1">After</th>
</tr>
<tr>
<th align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">
<italic>Round 1</italic>
</th>
<th align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">
<italic>Round 2</italic>
</th>
<th align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">
<italic>Round 1</italic>
</th>
<th align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">
<italic>Round 2</italic>
</th>
</tr>
</thead>
<tbody>
<tr>
<td align="center" valign="middle" rowspan="1" colspan="1">Expert recommendations</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.46</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.56</td>
<td align="center" valign="middle" rowspan="1" colspan="1"></td>
<td align="center" valign="middle" rowspan="1" colspan="1"></td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.55</td>
<td align="center" valign="middle" rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="1" colspan="1">Food groups</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.81</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.81</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.87</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.85</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.80</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.80</td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="1" colspan="1">Selecting foods</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.40</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.38</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.92</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.85</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.57</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.77</td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="1" colspan="1">Relationship of nutrition and disease</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.77</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.84</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.89</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.91</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.78</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.84</td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="1" colspan="1">Food fortification</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.94</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.93</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.94</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.94</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.79</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.80</td>
</tr>
<tr>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">Total</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">0.93</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">0.94</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">0.95</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">0.95</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">0.88</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">0.89</td>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap id="nutrients-09-00172-t006" position="float">
<object-id pub-id-type="pii">nutrients-09-00172-t006_Table 6</object-id>
<label>Table 6</label>
<caption>
<p>Nutrition knowledge scores of nutrition and engineering students.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th rowspan="2" align="center" valign="middle" style="border-top:solid thin;border-bottom:solid thin" colspan="1">Topic (Max Score)</th>
<th colspan="3" align="center" valign="middle" style="border-top:solid thin;border-bottom:solid thin" rowspan="1">Nutrition (
<italic>n</italic>
= 40)</th>
<th colspan="3" align="center" valign="middle" style="border-top:solid thin;border-bottom:solid thin" rowspan="1">Engineering (
<italic>n</italic>
= 37)</th>
<th rowspan="2" align="center" valign="middle" style="border-top:solid thin;border-bottom:solid thin" colspan="1">Mean Diff.</th>
<th rowspan="2" align="center" valign="middle" style="border-top:solid thin;border-bottom:solid thin" colspan="1">Mann-Whitney U</th>
<th rowspan="2" align="center" valign="middle" style="border-top:solid thin;border-bottom:solid thin" colspan="1">
<italic>p</italic>
-Value</th>
</tr>
<tr>
<th align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">Min</th>
<th align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">Max</th>
<th align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">Mean (SD)</th>
<th align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">Min</th>
<th align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">Max</th>
<th align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">Mean (SD)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="center" valign="middle" rowspan="1" colspan="1">Food groups (41)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">28.0</td>
<td align="center" valign="middle" rowspan="1" colspan="1">41.0</td>
<td align="center" valign="middle" rowspan="1" colspan="1">36.4 (3.0)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">16.0</td>
<td align="center" valign="middle" rowspan="1" colspan="1">38.0</td>
<td align="center" valign="middle" rowspan="1" colspan="1">27.6 (5.6)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">8.8</td>
<td align="center" valign="middle" rowspan="1" colspan="1">127.0</td>
<td align="center" valign="middle" rowspan="1" colspan="1"><0.001</td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="1" colspan="1">Selecting foods (2)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.0</td>
<td align="center" valign="middle" rowspan="1" colspan="1">2.0</td>
<td align="center" valign="middle" rowspan="1" colspan="1">1.1 (1.0)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.0</td>
<td align="center" valign="middle" rowspan="1" colspan="1">2.0</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.6 (0.9)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.5</td>
<td align="center" valign="middle" rowspan="1" colspan="1">560</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.036</td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="1" colspan="1">Relationship of nutrition and disease (14)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">10.0</td>
<td align="center" valign="middle" rowspan="1" colspan="1">14.0</td>
<td align="center" valign="middle" rowspan="1" colspan="1">13.0 (1.1)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.0</td>
<td align="center" valign="middle" rowspan="1" colspan="1">11.0</td>
<td align="center" valign="middle" rowspan="1" colspan="1">5.4 (2.6)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">7.6</td>
<td align="center" valign="middle" rowspan="1" colspan="1">42.5</td>
<td align="center" valign="middle" rowspan="1" colspan="1"><0.001</td>
</tr>
<tr>
<td align="center" valign="middle" rowspan="1" colspan="1">Food fortification (22)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">8.0</td>
<td align="center" valign="middle" rowspan="1" colspan="1">22.0</td>
<td align="center" valign="middle" rowspan="1" colspan="1">16.5 (3.7)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">0.0</td>
<td align="center" valign="middle" rowspan="1" colspan="1">19.0</td>
<td align="center" valign="middle" rowspan="1" colspan="1">4.9 (6.1)</td>
<td align="center" valign="middle" rowspan="1" colspan="1">11.6</td>
<td align="center" valign="middle" rowspan="1" colspan="1">80.0</td>
<td align="center" valign="middle" rowspan="1" colspan="1"><0.001</td>
</tr>
<tr>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">Total (79)</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">56.0</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">76.0</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">67.0 (4.9)</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">20.0</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">67.0</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">38.7 (11)</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">28.3</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1">29.0</td>
<td align="center" valign="middle" style="border-bottom:solid thin" rowspan="1" colspan="1"><0.001</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Min: minimum value; Max: maximum value; SD: standard deviation,
<italic>n</italic>
: sample size, Mean Diff.: mean difference.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</floats-group>
</pmc>
</record>

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