Ecological Momentary Assessment of Urban Adolescents’ Technology Use and Cravings for Unhealthy Snacks and Drinks: Differences by Ethnicity and Gender
Identifieur interne : 004321 ( Ncbi/Merge ); précédent : 004320; suivant : 004322Ecological Momentary Assessment of Urban Adolescents’ Technology Use and Cravings for Unhealthy Snacks and Drinks: Differences by Ethnicity and Gender
Auteurs : Nicholas Borgogna [États-Unis] ; Ginger Lockhart [États-Unis] ; Jerry L. Grenard [États-Unis] ; Tyson Barrett [États-Unis] ; Saul Shiffman [États-Unis] ; Kim D. Reynolds [États-Unis]Source :
- Journal of the Academy of Nutrition and Dietetics [ 2212-2672 ] ; 2014.
Abstract
Adolescents’ technology use is generally associated with food cravings, but it is not clear whether specific types of technology elicit particular types of cravings, and whether personal characteristics play a role in these associations. We examined whether momentary associations between four technology types (television, video games, computer messaging, and phone messaging) and cravings for unhealthy snack foods and sweetened drinks were moderated by youths’ gender, ethnicity, BMI, and age.
Urban adolescents (
Non-Hispanic adolescents showed stronger associations between television exposure and cravings for sweet snacks, salty snacks, and sweetened drinks. Being Hispanic was associated with stronger associations between phone messaging and cravings for sweet snacks, salty snacks, and sweetened drinks. Males showed stronger associations between video game use and salty snack cravings.
As the public health field continues to monitor the effects of technology use on adolescents’ eating and overall health, it will be important to determine the extent to which these groups are differentially affected by different forms of technology.
Url:
DOI: 10.1016/j.jand.2014.10.015
PubMed: 25482855
PubMed Central: 4410055
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Grenard</name><affiliation wicri:level="2"><nlm:aff id="A2">School of Community and Global Health, Claremont Graduate University, 675 West Foothill Blvd. Suite 310, Claremont, CA 91711-3475, USA</nlm:aff><country xml:lang="fr">États-Unis</country><wicri:regionArea>School of Community and Global Health, Claremont Graduate University, 675 West Foothill Blvd. Suite 310, Claremont, CA 91711-3475</wicri:regionArea><placeName><region type="state">Californie</region></placeName></affiliation></author><author><name sortKey="Barrett, Tyson" sort="Barrett, Tyson" uniqKey="Barrett T" first="Tyson" last="Barrett">Tyson Barrett</name><affiliation wicri:level="2"><nlm:aff id="A1">Department of Psychology, Utah State University, 2810 Old Main Hill, Logan, UT 84322-2810, USA</nlm:aff><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Psychology, Utah State University, 2810 Old Main Hill, Logan, UT 84322-2810</wicri:regionArea><placeName><region type="state">Utah</region></placeName></affiliation></author><author><name sortKey="Shiffman, Saul" sort="Shiffman, Saul" uniqKey="Shiffman S" first="Saul" last="Shiffman">Saul Shiffman</name><affiliation wicri:level="4"><nlm:aff id="A3">Department of Psychology, University of Pittsburgh, 130 N. Bellefield Avenue, Suite 510, Pittsburgh, PA 15260, USA</nlm:aff><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Psychology, University of Pittsburgh, 130 N. Bellefield Avenue, Suite 510, Pittsburgh, PA 15260</wicri:regionArea><placeName><region type="state">Pennsylvanie</region><settlement type="city">Pittsburgh</settlement></placeName><orgName type="university">Université de Pittsburgh</orgName></affiliation></author><author><name sortKey="Reynolds, Kim D" sort="Reynolds, Kim D" uniqKey="Reynolds K" first="Kim D." last="Reynolds">Kim D. Reynolds</name><affiliation wicri:level="2"><nlm:aff id="A2">School of Community and Global Health, Claremont Graduate University, 675 West Foothill Blvd. Suite 310, Claremont, CA 91711-3475, USA</nlm:aff><country xml:lang="fr">États-Unis</country><wicri:regionArea>School of Community and Global Health, Claremont Graduate University, 675 West Foothill Blvd. Suite 310, Claremont, CA 91711-3475</wicri:regionArea><placeName><region type="state">Californie</region></placeName></affiliation></author></analytic><series><title level="j">Journal of the Academy of Nutrition and Dietetics</title><idno type="ISSN">2212-2672</idno><imprint><date when="2014">2014</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><sec id="S1"><title>Background and Purpose</title><p id="P2">Adolescents’ technology use is generally associated with food cravings, but it is not clear whether specific types of technology elicit particular types of cravings, and whether personal characteristics play a role in these associations. We examined whether momentary associations between four technology types (television, video games, computer messaging, and phone messaging) and cravings for unhealthy snack foods and sweetened drinks were moderated by youths’ gender, ethnicity, BMI, and age.</p></sec><sec id="S2"><title>Methods</title><p id="P3">Urban adolescents (<italic>N</italic>=158) aged 14–17 provided momentary information about their technology use and food cravings over the course of one week and completed survey reports of their personal characteristics. We used multilevel modeling to determine momentary associations and interactions.</p></sec><sec id="S3"><title>Results</title><p id="P4">Non-Hispanic adolescents showed stronger associations between television exposure and cravings for sweet snacks, salty snacks, and sweetened drinks. Being Hispanic was associated with stronger associations between phone messaging and cravings for sweet snacks, salty snacks, and sweetened drinks. Males showed stronger associations between video game use and salty snack cravings.</p></sec><sec id="S4"><title>Conclusions</title><p id="P5">As the public health field continues to monitor the effects of technology use on adolescents’ eating and overall health, it will be important to determine the extent to which these groups are differentially affected by different forms of technology.</p></sec></div></front></TEI><pmc article-type="research-article"><pmc-comment>The publisher of this article does not allow downloading of the full text in XML form.</pmc-comment>
<pmc-dir>properties manuscript</pmc-dir>
<front><journal-meta><journal-id journal-id-type="nlm-journal-id">101573920</journal-id><journal-id journal-id-type="pubmed-jr-id">39705</journal-id><journal-id journal-id-type="nlm-ta">J Acad Nutr Diet</journal-id><journal-id journal-id-type="iso-abbrev">J Acad Nutr Diet</journal-id><journal-title-group><journal-title>Journal of the Academy of Nutrition and Dietetics</journal-title></journal-title-group><issn pub-type="ppub">2212-2672</issn></journal-meta><article-meta><article-id pub-id-type="pmid">25482855</article-id><article-id pub-id-type="pmc">4410055</article-id><article-id pub-id-type="doi">10.1016/j.jand.2014.10.015</article-id><article-id pub-id-type="manuscript">NIHMS634171</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title-group><article-title>Ecological Momentary Assessment of Urban Adolescents’ Technology Use and Cravings for Unhealthy Snacks and Drinks: Differences by Ethnicity and Gender</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Borgogna</surname><given-names>Nicholas</given-names></name><xref ref-type="aff" rid="A1">a</xref></contrib><contrib contrib-type="author"><name><surname>Lockhart</surname><given-names>Ginger</given-names></name><degrees>Ph.D.</degrees><xref ref-type="aff" rid="A1">a</xref></contrib><contrib contrib-type="author"><name><surname>Grenard</surname><given-names>Jerry L.</given-names></name><degrees>Ph.D.</degrees><xref ref-type="aff" rid="A2">b</xref></contrib><contrib contrib-type="author"><name><surname>Barrett</surname><given-names>Tyson</given-names></name><xref ref-type="aff" rid="A1">a</xref></contrib><contrib contrib-type="author"><name><surname>Shiffman</surname><given-names>Saul</given-names></name><degrees>Ph.D.</degrees><xref ref-type="aff" rid="A3">c</xref></contrib><contrib contrib-type="author"><name><surname>Reynolds</surname><given-names>Kim D.</given-names></name><degrees>Ph.D.</degrees><xref ref-type="aff" rid="A2">b</xref></contrib></contrib-group><aff id="A1"><label>a</label>Department of Psychology, Utah State University, 2810 Old Main Hill, Logan, UT 84322-2810, USA</aff><aff id="A2"><label>b</label>School of Community and Global Health, Claremont Graduate University, 675 West Foothill Blvd. Suite 310, Claremont, CA 91711-3475, USA</aff><aff id="A3"><label>c</label>Department of Psychology, University of Pittsburgh, 130 N. Bellefield Avenue, Suite 510, Pittsburgh, PA 15260, USA</aff><author-notes><corresp id="cor1">Corresponding author: Ginger Lockhart, Ph.D. <email>ginger.lockhart@usu.edu</email> Phone: 435-932-0174 Fax: 435-797-1448</corresp><fn id="FN1" fn-type="equal"><p id="P1">Nicholas Borgogna and Ginger Lockhart contributed equally to the manuscript and share first authorship.</p></fn></author-notes><pub-date pub-type="nihms-submitted"><day>10</day><month>10</month><year>2014</year></pub-date><pub-date pub-type="epub"><day>4</day><month>12</month><year>2014</year></pub-date><pub-date pub-type="ppub"><month>5</month><year>2015</year></pub-date><pub-date pub-type="pmc-release"><day>01</day><month>5</month><year>2016</year></pub-date><volume>115</volume><issue>5</issue><fpage>759</fpage><lpage>766</lpage><pmc-comment>elocation-id from pubmed: 10.1016/j.jand.2014.10.015</pmc-comment>
<permissions><copyright-statement>© 2014 by the Academy of Nutrition and Dietetics. All rights reserved.</copyright-statement><copyright-year>2014</copyright-year></permissions><abstract><sec id="S1"><title>Background and Purpose</title><p id="P2">Adolescents’ technology use is generally associated with food cravings, but it is not clear whether specific types of technology elicit particular types of cravings, and whether personal characteristics play a role in these associations. We examined whether momentary associations between four technology types (television, video games, computer messaging, and phone messaging) and cravings for unhealthy snack foods and sweetened drinks were moderated by youths’ gender, ethnicity, BMI, and age.</p></sec><sec id="S2"><title>Methods</title><p id="P3">Urban adolescents (<italic>N</italic>=158) aged 14–17 provided momentary information about their technology use and food cravings over the course of one week and completed survey reports of their personal characteristics. We used multilevel modeling to determine momentary associations and interactions.</p></sec><sec id="S3"><title>Results</title><p id="P4">Non-Hispanic adolescents showed stronger associations between television exposure and cravings for sweet snacks, salty snacks, and sweetened drinks. Being Hispanic was associated with stronger associations between phone messaging and cravings for sweet snacks, salty snacks, and sweetened drinks. Males showed stronger associations between video game use and salty snack cravings.</p></sec><sec id="S4"><title>Conclusions</title><p id="P5">As the public health field continues to monitor the effects of technology use on adolescents’ eating and overall health, it will be important to determine the extent to which these groups are differentially affected by different forms of technology.</p></sec></abstract><kwd-group><kwd>Adolescent</kwd><kwd>Sedentary Behaviors</kwd><kwd>Snack Cravings</kwd><kwd>Ecological Momentary Assessment</kwd><kwd>Technology</kwd></kwd-group></article-meta></front></pmc><affiliations><list><country><li>États-Unis</li></country><region><li>Californie</li><li>Pennsylvanie</li><li>Utah</li></region><settlement><li>Pittsburgh</li></settlement><orgName><li>Université de Pittsburgh</li></orgName></list><tree><country name="États-Unis"><region name="Utah"><name sortKey="Borgogna, Nicholas" sort="Borgogna, Nicholas" uniqKey="Borgogna N" first="Nicholas" last="Borgogna">Nicholas Borgogna</name></region><name sortKey="Barrett, Tyson" sort="Barrett, Tyson" uniqKey="Barrett T" first="Tyson" last="Barrett">Tyson Barrett</name><name sortKey="Grenard, Jerry L" sort="Grenard, Jerry L" uniqKey="Grenard J" first="Jerry L." last="Grenard">Jerry L. Grenard</name><name sortKey="Lockhart, Ginger" sort="Lockhart, Ginger" uniqKey="Lockhart G" first="Ginger" last="Lockhart">Ginger Lockhart</name><name sortKey="Reynolds, Kim D" sort="Reynolds, Kim D" uniqKey="Reynolds K" first="Kim D." last="Reynolds">Kim D. Reynolds</name><name sortKey="Shiffman, Saul" sort="Shiffman, Saul" uniqKey="Shiffman S" first="Saul" last="Shiffman">Saul Shiffman</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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