Watching TV and Food Intake: The Role of Content
Publication Date
July 01, 2014
Journal
PLOS ONE
Authors
Colin D. Chapman, Victor C. Nilsson, Hanna Å. Thune, Jonathan Cedernaes, et al
Volume
9
Issue
7
Pages
e100602
DOI
https://dx.plos.org/10.1371/journal.pone.0100602
Publisher URL
http://journals.plos.org/plosone/article?id=10.1371%2Fjournal.pone.0100602
PubMed
http://www.ncbi.nlm.nih.gov/pubmed/24983245
PubMed Central
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4077693
Europe PMC
http://europepmc.org/abstract/MED/24983245
Web of Science
000339635000033
Scopus
84903723381
Mendeley
http://www.mendeley.com/research/watching-tv-food-intake-role-content
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Mendeley | Further Information

{"title"=>"Watching TV and food intake: The role of content", "type"=>"journal", "authors"=>[{"first_name"=>"Colin D.", "last_name"=>"Chapman", "scopus_author_id"=>"55221286400"}, {"first_name"=>"Victor C.", "last_name"=>"Nilsson", "scopus_author_id"=>"39161849800"}, {"first_name"=>"Hanna Å", "last_name"=>"Thune", "scopus_author_id"=>"56245626400"}, {"first_name"=>"Jonathan", "last_name"=>"Cedernaes", "scopus_author_id"=>"24166596700"}, {"first_name"=>"Madeleine", "last_name"=>"Le Grevès", "scopus_author_id"=>"6507389282"}, {"first_name"=>"Pleunie S.", "last_name"=>"Hogenkamp", "scopus_author_id"=>"25031323200"}, {"first_name"=>"Christian", "last_name"=>"Benedict", "scopus_author_id"=>"55292780800"}, {"first_name"=>"Helgi B.", "last_name"=>"Schiöth", "scopus_author_id"=>"35496579800"}], "year"=>2014, "source"=>"PLoS ONE", "identifiers"=>{"issn"=>"19326203", "scopus"=>"2-s2.0-84903723381", "sgr"=>"84903723381", "pui"=>"373444600", "isbn"=>"1932-6203", "pmid"=>"24983245", "doi"=>"10.1371/journal.pone.0100602"}, "id"=>"8ef66aaf-dbf9-3739-9c90-e6ccffeb8c47", "abstract"=>"Obesity is a serious and growing health concern worldwide. Watching television (TV) represents a condition during which many habitually eat, irrespective of hunger level. However, as of yet, little is known about how the content of television programs being watched differentially impacts concurrent eating behavior. In this study, eighteen normal-weight female students participated in three counter-balanced experimental conditions, including a 'Boring' TV condition (art lecture), an 'Engaging' TV condition (Swedish TV comedy series), and a no TV control condition during which participants read (a text on insects living in Sweden). Throughout each condition participants had access to both high-calorie (M&Ms) and low-calorie (grapes) snacks. We found that, relative to the Engaging TV condition, Boring TV encouraged excessive eating (+52% g, P = 0.009). Additionally, the Engaging TV condition actually resulted in significantly less concurrent intake relative to the control 'Text' condition (-35% g, P = 0.05). This intake was driven almost entirely by the healthy snack, grapes; however, this interaction did not reach significance (P = 0.07). Finally, there was a significant correlation between how bored participants were across all conditions, and their concurrent food intake (beta = 0.317, P = 0.02). Intake as measured by kcals was similarly patterned but did not reach significance. These results suggest that, for women, different TV programs elicit different levels of concurrent food intake, and that the degree to which a program is engaging (or alternately, boring) is related to that intake. Additionally, they suggest that emotional content (e.g. boring vs. engaging) may be more associated than modality (e.g. TV vs. text) with concurrent intake.", "link"=>"http://www.mendeley.com/research/watching-tv-food-intake-role-content", "reader_count"=>42, "reader_count_by_academic_status"=>{"Professor > Associate Professor"=>2, "Librarian"=>1, "Researcher"=>2, "Student > Doctoral Student"=>3, "Student > Ph. D. Student"=>11, "Student > Postgraduate"=>3, "Student > Master"=>9, "Other"=>1, "Student > Bachelor"=>5, "Lecturer"=>2, "Lecturer > Senior Lecturer"=>1, "Professor"=>2}, "reader_count_by_user_role"=>{"Professor > Associate Professor"=>2, "Librarian"=>1, "Researcher"=>2, "Student > Doctoral Student"=>3, "Student > Ph. D. Student"=>11, "Student > Postgraduate"=>3, "Student > Master"=>9, "Other"=>1, "Student > Bachelor"=>5, "Lecturer"=>2, "Lecturer > Senior Lecturer"=>1, "Professor"=>2}, "reader_count_by_subject_area"=>{"Unspecified"=>3, "Nursing and Health Professions"=>4, "Agricultural and Biological Sciences"=>7, "Medicine and Dentistry"=>12, "Design"=>1, "Arts and Humanities"=>1, "Sports and Recreations"=>2, "Business, Management and Accounting"=>1, "Psychology"=>3, "Chemistry"=>1, "Social Sciences"=>6, "Computer Science"=>1}, "reader_count_by_subdiscipline"=>{"Design"=>{"Design"=>1}, "Medicine and Dentistry"=>{"Medicine and Dentistry"=>12}, "Chemistry"=>{"Chemistry"=>1}, "Social Sciences"=>{"Social Sciences"=>6}, "Sports and Recreations"=>{"Sports and Recreations"=>2}, "Psychology"=>{"Psychology"=>3}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>7}, "Computer Science"=>{"Computer Science"=>1}, "Nursing and Health Professions"=>{"Nursing and Health Professions"=>4}, "Business, Management and Accounting"=>{"Business, Management and Accounting"=>1}, "Unspecified"=>{"Unspecified"=>3}, "Arts and Humanities"=>{"Arts and Humanities"=>1}}, "reader_count_by_country"=>{"United States"=>1, "Australia"=>1}, "group_count"=>4}

Scopus | Further Information

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/1575862"], "description"=>"<p>Figure detailing the total consumption (in grams) of both low calorie (grapes) and high calorie (chocolate) snacks during both Boring and Engaging (comedy) TV viewing and in the control Text condition. There was significantly more overall consumption in the Boring TV condition relative to both the Text and Engaging TV conditions. Additionally, there was significantly less gross consumption in the Engaging TV condition relative to the Text control. There was also a borderline significant interaction effect such that these changes in consumption were driven primarily by low-calorie snacks (grapes). *≤0.05, **<0.01.</p>", "links"=>[], "tags"=>["neuroscience", "cognitive science", "Cognitive psychology", "neuropsychology", "nutrition", "physiology", "Physiological parameters", "Body weight", "obesity", "psychology", "behavior", "intake"], "article_id"=>1089858, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Colin D. Chapman", "Victor C. Nilsson", "Hanna Å. Thune", "Jonathan Cedernaes", "Madeleine Le Grevès", "Pleunie S. Hogenkamp", "Christian Benedict", "Helgi B. Schiöth"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0100602.g001", "stats"=>{"downloads"=>1, "page_views"=>6, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Food_intake_by_condition_/1089858", "title"=>"Food intake by condition.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-07-01 02:49:45"}

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