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Figure 1.
Sample Camera Cuts and Sound Fluctuations in Different Television (TV) Programs
Sample Camera Cuts and Sound Fluctuations in Different Television (TV) Programs

NBA indicates National Basketball Association.

Figure 2.
High Sensory Distraction Television Shows Encourage Greater Food Intake
High Sensory Distraction Television Shows Encourage Greater Food Intake

Bars indicate means; limit lines, 95% CI.

1.
Bowman  SA.  Television-viewing characteristics of adults: correlations to eating practices and overweight and health status. Prev Chronic Dis. 2006;3(2):A38.
PubMed
2.
Pearson  N, Biddle  SJ.  Sedentary behavior and dietary intake in children, adolescents, and adults: a systematic review. Am J Prev Med. 2011;41(2):178-188.
PubMedArticle
3.
Jackson  DM, Djafarian  K, Stewart  J, Speakman  JR.  Increased television viewing is associated with elevated body fatness but not with lower total energy expenditure in children. Am J Clin Nutr. 2009;89(4):1031-1036.
PubMedArticle
4.
Sugiyama  T, Healy  GN, Dunstan  DW, Salmon  J, Owen  N.  Is television viewing time a marker of a broader pattern of sedentary behavior? Ann Behav Med. 2008;35(2):245-250.
PubMedArticle
5.
Wansink  B, van Kleef  E.  Dinner rituals that correlate with child and adult BMI. Obesity (Silver Spring). 2014;22(5):E91-E95. doi:10.1002/oby.20629.
PubMedArticle
6.
Wansink  B.  Environmental factors that increase the food intake and consumption volume of unknowing consumers. Annu Rev Nutr. 2004;24:455-479.
PubMedArticle
Research Letter
November 2014

Watch What You EatAction-Related Television Content Increases Food Intake

Author Affiliations
  • 1Food and Brand Lab, Department of Applied Economics and Management, Cornell University, Ithaca, New York
  • 2Department of Neurological Surgery, Vanderbilt University, Nashville, Tennessee
JAMA Intern Med. 2014;174(11):1842-1843. doi:10.1001/jamainternmed.2014.4098

Television (TV) has generally been blamed for helping make Americans overweight1 owing to both its distracting influence and its encouragement of a sedentary lifestyle.24 Indeed, a recent correlational analysis5 of dinner patterns illustrated that the frequency of TV viewing during dinner was 1 of the 2 largest correlates of adult and child body mass index.

However, the focus to date has been on the medium and not the message. Granted, TV may lead distracted viewers to mindlessly eat past the point at which a person would usually stop. In this, it is not unlike other distracting activities that increase food intake, such as reading, listening to the radio, and interacting with dining companions.6 However, little is known about whether the content, valence, or pace of content influences how much a viewer eats while watching TV. For instance, how do objective technical characteristics, such as the frequency of visual camera cuts or the variation in sound, influence how much food is eaten?

Methods

Ninety-four undergraduate students (57 female; mean age, 19.9 years) completed this institutional review board–approved study in exchange for class credit. Participants provided written informed consent. They gathered in groups of up to 20 people and watched 20 minutes of TV programming. They were randomly assigned to 1 of 3 conditions. In 1 condition, viewers watched an excerpt from The Island, a Hollywood action movie (24.7 camera cuts/min; 24.5 sound source fluctuations/min). In a second condition, viewers watched an excerpt from Charlie Rose, an interview program (4.8 camera cuts/min; 3.2 sound source fluctuations/min) (Figure 1). In a third condition, viewers watched the same excerpt from The Island, but with no sound.

While watching the programming, participants were given generous amounts of 4 snacks (M&Ms, cookies, carrots, and grapes) and allowed to eat as much as they wished. Food was weighed before and after the programs to determine the amount eaten by each viewer.

Results

When pre-served an array of 4 different popular foods, more distracting television shows led viewers to eat significantly more food. Participants watching The Island, which includes highly stimulating and distracting programming featuring high camera cuts and high sound variation, ate 98% more grams of food (206.5 vs 104.3 g) and 65% more calories (354.1 vs 214.6) than did participants watching Charlie Rose. Even while watching the silent version of The Island, featuring increased camera cuts but no sound, participants ate 36% more grams of food (142.1 vs 104.3 g) and 46% more calories (314.5 vs 214.6) than participants watching Charlie Rose. The difference in amount consumed between groups watching different programs was significant (P <.001 level; F2,92 = 12.07). The effect of the program on calorie consumption was also significant (P = .01 level; F2,91 = 4.48). The effects were robust across sex, though directionally more pronounced for males (Figure 2).

Discussion

More distracting TV content appears to increase food consumption: action and sound variation are bad for one’s diet. The more distracting a TV show, the less attention people appear to pay to eating, and the more they eat. Other potential causes, such as increased anxiety, agitation, and stimulation level, should be examined as contributing causes in future research.

When counseling patients physicians should stress the dangers of overeating while watching TV. Physicians and others who deal with patients struggling with their weight may want to warn in particular against the potential effect that highly distracting content, such as action movies, may have on overeating. When watching highly distracting TV content, it may be best to avoid snacking. If people wish to watch TV while eating, they should use preportioned quantities to avoid overeating.

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Article Information

Corresponding Author: Aner Tal, PhD, Food and Brand Lab, Department of Applied Economics and Management, 14B Warren Hall, Cornell University, Ithaca, NY 14853 (at425@cornell.edu).

Author Contributions: Drs Tal and Wansink had full access to all the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis.

Study concept and design: All authors.

Acquisition, analysis, or interpretation of data: All authors.

Drafting of the manuscript: Tal.

Critical revision of the manuscript for important intellectual content: All authors.

Statistical analysis: Tal.

Administrative, technical, or material support: Zuckerman, Wansink.

Study supervision: Zuckerman, Wansink.

Published Online: September 1, 2014. doi:10.1001/jamainternmed.2014.4098.

Conflict of Interest Disclosures: None reported.

Funding/Support: This research was made possible by support from Cornell University.

Role of the Sponsor: The sponsor had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.

Additional Contributions: Sarah McIvennie, BS, and Rebecca Harrison, BS (Cornell University), helped with background research, Colin Payne, PhD (New Mexico State University), helped with data collection, and Rosemarie Hanson, BS (Cornell University), provided editorial assistance. There was no financial compensation for the contributions.

References
1.
Bowman  SA.  Television-viewing characteristics of adults: correlations to eating practices and overweight and health status. Prev Chronic Dis. 2006;3(2):A38.
PubMed
2.
Pearson  N, Biddle  SJ.  Sedentary behavior and dietary intake in children, adolescents, and adults: a systematic review. Am J Prev Med. 2011;41(2):178-188.
PubMedArticle
3.
Jackson  DM, Djafarian  K, Stewart  J, Speakman  JR.  Increased television viewing is associated with elevated body fatness but not with lower total energy expenditure in children. Am J Clin Nutr. 2009;89(4):1031-1036.
PubMedArticle
4.
Sugiyama  T, Healy  GN, Dunstan  DW, Salmon  J, Owen  N.  Is television viewing time a marker of a broader pattern of sedentary behavior? Ann Behav Med. 2008;35(2):245-250.
PubMedArticle
5.
Wansink  B, van Kleef  E.  Dinner rituals that correlate with child and adult BMI. Obesity (Silver Spring). 2014;22(5):E91-E95. doi:10.1002/oby.20629.
PubMedArticle
6.
Wansink  B.  Environmental factors that increase the food intake and consumption volume of unknowing consumers. Annu Rev Nutr. 2004;24:455-479.
PubMedArticle
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