Journal article Embargoed Access
Reichenberger, Julia;
Smyth, Joshua M.;
Kuppens, Peter;
Blechert, Jens
<?xml version='1.0' encoding='UTF-8'?> <record xmlns="http://www.loc.gov/MARC21/slim"> <leader>00000nam##2200000uu#4500</leader> <datafield tag="942" ind1=" " ind2=" "> <subfield code="a">2021-05-13</subfield> </datafield> <datafield tag="653" ind1=" " ind2=" "> <subfield code="a">diet</subfield> </datafield> <datafield tag="653" ind1=" " ind2=" "> <subfield code="a">food intake</subfield> </datafield> <datafield tag="653" ind1=" " ind2=" "> <subfield code="a">dietary restraint</subfield> </datafield> <datafield tag="653" ind1=" " ind2=" "> <subfield code="a">eating styles</subfield> </datafield> <datafield tag="653" ind1=" " ind2=" "> <subfield code="a">food craving</subfield> </datafield> <datafield tag="653" ind1=" " ind2=" "> <subfield code="a">intention-behavior gap</subfield> </datafield> <controlfield tag="005">20190513073826.0</controlfield> <controlfield tag="001">2784000</controlfield> <datafield tag="700" ind1=" " ind2=" "> <subfield code="u">Departments of Biobehavioral Health and Medicine, The Pennsylvania State University</subfield> <subfield code="0">(orcid)0000-0002-0904-5390</subfield> <subfield code="a">Smyth, Joshua M.</subfield> </datafield> <datafield tag="700" ind1=" " ind2=" "> <subfield code="u">KU Leuven, Belgium</subfield> <subfield code="0">(orcid)0000-0002-2363-2356</subfield> <subfield code="a">Kuppens, Peter</subfield> </datafield> <datafield tag="700" ind1=" " ind2=" "> <subfield code="u">Paris-Lodron University of Salzburg, Department of Psychology, Centre for Cognitive Neuroscience</subfield> <subfield code="0">(orcid)0000-0002-3820-109X</subfield> <subfield code="a">Blechert, Jens</subfield> </datafield> <datafield tag="542" ind1=" " ind2=" "> <subfield code="l">embargoed</subfield> </datafield> <datafield tag="260" ind1=" " ind2=" "> <subfield code="c">2019-05-13</subfield> </datafield> <datafield tag="909" ind1="C" ind2="O"> <subfield code="o">oai:zenodo.org:2784000</subfield> </datafield> <datafield tag="909" ind1="C" ind2="4"> <subfield code="c">10-18</subfield> <subfield code="v">140</subfield> <subfield code="p">Appetite</subfield> </datafield> <datafield tag="100" ind1=" " ind2=" "> <subfield code="u">Paris-Lodron University of Salzburg, Department of Psychology, Centre for Cognitive Neuroscience</subfield> <subfield code="0">(orcid)0000-0003-4982-410X</subfield> <subfield code="a">Reichenberger, Julia</subfield> </datafield> <datafield tag="245" ind1=" " ind2=" "> <subfield code="a">"I will fast … tomorrow": Intentions to restrict eating and actual restriction in daily life and their person-level predictors</subfield> </datafield> <datafield tag="536" ind1=" " ind2=" "> <subfield code="c">639445</subfield> <subfield code="a">Transdiagnostic views on eating disorders and obesity and new approaches for treatment</subfield> </datafield> <datafield tag="540" ind1=" " ind2=" "> <subfield code="u">https://creativecommons.org/licenses/by/4.0/legalcode</subfield> <subfield code="a">Creative Commons Attribution 4.0 International</subfield> </datafield> <datafield tag="650" ind1="1" ind2="7"> <subfield code="a">cc-by</subfield> <subfield code="2">opendefinition.org</subfield> </datafield> <datafield tag="520" ind1=" " ind2=" "> <subfield code="a"><p>Objective. Dietary restraint is a common, yet controversial practice to tackle overweight. Yet,<br> despite good intentions to reduce food intake, most restraint-based diets fail to produce long term<br> weight loss. A better understanding of the naturalistic course of daily dieting intentions and their<br> effectiveness in guiding subsequent eating behavior are therefore needed.<br> Method. In two studies, participants (n=49 and n=59) reported both their state intention to restrict<br> eating on the next day, as well as their actual restriction on that day via smartphone-based<br> evening reports of 12 and 10 days, respectively. Intention-behavior gap scores were calculated as<br> differences between intention at t1 (e.g. evening intention Monday for restriction Tuesday) and<br> restriction at t2 (evening report of actual restraint on Tuesday). Restriction-related trait<br> questionnaires served as predictors of general intention or restriction level, whereas several traitlevel<br> disinhibiting eating style questionnaires served as predictors for intention-behavior gaps<br> (difference scores).<br> Results. Daily intentions to restrict were rated higher than the daily actual restrictive behavior.<br> Participants with higher scores on restriction-related questionnaires (restrained eating, dieting,<br> reversed intuitive eating) showed higher levels of daily state intention and restriction. Larger state<br> intention-behavior gaps, by contrast, were seen in participants scoring high on trait-level<br> disinhibiting eating styles (emotional eating, stress eating and food craving).<br> Discussion. The results point to potential risk factors of diet failure in everyday life: emotional,<br> stress eating, and food craving are disinhibiting traits that seem to increase intention-behavior<br> gaps. These findings can inform individualized weight-loss interventions: individuals with<br> disinhibiting traits might need additional guidance to avoid potentially frustrating diet failures.</p></subfield> </datafield> <datafield tag="024" ind1=" " ind2=" "> <subfield code="a">10.1016/j.appet.2019.04.019</subfield> <subfield code="2">doi</subfield> </datafield> <datafield tag="980" ind1=" " ind2=" "> <subfield code="a">publication</subfield> <subfield code="b">article</subfield> </datafield> </record>
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