Extending Expectancy Theory to Food Intake: Effect of a Simulated Fast-Food Restaurant on Highly and Minimally Processed Food Expectancies

Abstract

Unhealthy diets are widespread and linked to a number of detrimental clinical outcomes. The current preregistered experiment extended expectancy theory into the study of food intake; specifically, we tested whether a fast-food restaurant affects food expectancies, or the emotions one expects to feel while eating highly processed foods (e.g., pizza) and minimally processed foods (e.g., carrots). Participants (N = 200, mean age = 18.79 years) entered a simulated fast-food restaurant or a neutral space, completed questionnaires, and engaged in a bogus taste test. The simulated fast-food restaurant increased positive highly processed food expectancies (d = 0.29). Palatable eating coping motives scores did not moderate the effect; however, this clinically relevant pattern of eating behavior was associated with greater positive highly processed food expectancies. In addition, there was an indirect effect of the fast-food restaurant on ad libitum food intake through positive highly processed food expectancies. Reducing positive highly processed food expectancies may improve diet, which may broadly affect health.

Keywords

eating behavior emotions expectancies fast-food restaurant highly processed food open data preregistered

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References

Adam

T. C.

Epel

E. S.

(2007). Stress, eating and the reward system. Physiology & Behavior, 91, 449–458. https://doi.org/10.1016/j.physbeh.2007.04.011

Agrawal

Dick

D. M.

Bucholz

K. K.

Madden

P. A.

Cooper

M. L.

Sher

K. J.

Heath

A. C.

(2008). Drinking expectancies and motives: A genetic study of young adult women. Addiction, 103(2), 194–204.

Annus

A. M.

Smith

G. T.

Masters

(2008). Manipulation of thinness and restricting expectancies: Further evidence for a causal role of thinness and restricting expectancies in the etiology of eating disorders. Psychology of Addictive Behaviors, 22(2), 278–287. https://doi.org/10.1037/0893-164X.22.2.278

Bandura

(1977). Social learning theory. Prentice-Hall.

Baraldi

L. G.

Martinez Steele

Canella

D. S.

Monteiro

C. A.

(2018). Consumption of ultra-processed foods and associated sociodemographic factors in the USA between 2007 and 2012: Evidence from a nationally representative cross-sectional study. BMJ Open, 8(3), Article 020574. https://doi.org/10.1136/bmjopen-2017-020574

Boggiano

M. M.

Wenger

L. E.

Turan

Tatum

M. M.

Morgan

P. R.

Sylvester

M. D.

(2015). Eating tasty food to cope. Longitudinal association with BMI. Appetite, 87, 365–370. https://doi.org/10.1016/j.appet.2015.01.008

Boggiano

M. M.

Wenger

L. E.

Turan

Tatum

M. M.

Sylvester

M. D.

Morgan

P. R.

Morse

K. E.

Burgess

E. E.

(2015). Real-time sampling of reasons for hedonic food consumption: Further validation of the Palatable Eating Motives Scale. Frontiers in Psychology, 6, Article 744. https://doi.org/10.3389/fpsyg.2015.00744

Bongers

Jansen

(2016). Emotional eating is not what you think it is and emotional eating scales do not measure what you think they measure. Frontiers in Psychology, 7, Article 1932. https://doi.org/10.3389/fpsyg.2016.01932

Buckner

J. D.

Schmidt

N. B.

(2008). Marijuana effect expectancies: Relations to social anxiety and marijuana use problems. Addictive Behaviors, 33(11), 1477–1483. https://doi.org/10.1016/j.addbeh.2008.06.017

10.

Burgess

E. E.

Turan

Lokken

K. L.

Morse

Boggiano

M. M.

(2014). Profiling motives behind hedonic eating: Preliminary validation of the Palatable Eating Motives Scale. Appetite, 72, 66–72. https://doi.org/10.1016/j.appet.2013.09.016

11.

Chen

Zhang

Yang

Qiu

Wang

Zhao

Fang

Nie

(2020). Consumption of ultra-processed foods and health outcomes: A systematic review of epidemiological studies. Nutrition Journal, 19(1), Article 86. https://doi.org/10.1186/s12937-020-00604-1

12.

Cohen

L. M.

McCarthy

D. M.

Brown

S. A.

Myers

M. G.

(2002). Negative affect combines with smoking outcome expectancies to predict smoking behavior over time. Psychology of Addictive Behaviors, 16(2), 91–97. https://doi.org/10.1037/0893-164X.16.2.91

13.

Culbert

K. M.

Racine

S. E.

Klump

K. L.

(2015). Research review: What we have learned about the causes of eating disorders–A synthesis of sociocultural, psychological, and biological research. Journal of Child Psychology and Psychiatry, 56(11), 1141–1164.

14.

Cummings

J. R.

Joyner

M. A.

Gearhardt

A. N.

(2020). Development and preliminary validation of the Anticipated Effects of Food Scale. Psychology of Addictive Behaviors, 34(2), 403–413. https://doi.org/101037/adb0000544

15.

Deluchi

Costa

F. S.

Friedman

Goncalves

Bizarro

(2017). Attentional bias to unhealthy food in individuals with severe obesity and binge eating. Appetite, 108(1), 471–476. https://doi.org/10.1016/j.appet.2016.11.012

16.

Epel

Jimenez

Brownell

Stroud

Stoney

Niaura

(2004). Are stress eaters at risk for the metabolic syndrome? Annals of the New York Academy of Science, 1032, 208–210. https://doi.org/10.1196/annals.1314.022

17.

Faul

Erdfelder

Lang

A.-G.

Buchner

(2007). G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behavior Research Methods, 39(2), 175–191.

18.

Gearhardt

A. N.

Corbin

W. R.

Brownell

K. D.

(2009). Preliminary validation of the Yale Food Addiction Scale. Appetite, 52(2), 430–436. https://doi.org/10.1016/j.appet.2008.12.003

19.

Goldman

M. S.

Del Boca

F. K.

Darkes

(1999). Alcohol expectancy theory: The application of cognitive neuroscience. In Leonard

K. E.

Blane

H. T.

(Eds.), Psychological theories of drinking and alcoholism (pp. 203–246). The Guilford Press.

20.

Guh

D. P.

Zhang

Bansback

Amarsi

Birmingham

C. L.

Anis

A. H.

(2009). The incidence of co-morbidities related to obesity and overweight: A systematic review and meta-analysis. BMC Public Health, 9(1), Article 88. https://doi.org/10.1186/1471-2458-9-88

21.

Hales

C. M.

Fryar

C. D.

Carroll

M. D.

Freedman

D. S.

Aoki

Ogden

C. L.

(2018). Differences in obesity prevalence by demographic characteristics and urbanization level among adults in the United States, 2013-2016. JAMA, 319(23), 2419–2429. https://doi.org/10.1001/jama.2018.7270

22.

Hall

K. D.

Ayuketah

Brychta

Cai

Cassimatis

Chen

K. Y.

Chung

S. T.

Costa

Courville

Darcey

Fletcher

L. A.

Forde

C. G.

Gharib

A. M.

Guo

Howard

Joseph

P. V.

McGehee

Ouwerkerk

Raisinger

. . . Zhou

(2019). Ultra-processed diets cause excess calorie intake and weight gain: An inpatient randomized controlled trial of ad libitum food intake. Cell Metabolism, 30(1), 67–77.e3. https://doi.org/10.1016/j.cmet.2019.05.008

23.

Hayes

A. F.

(2013). Introduction to mediation, moderation, and conditional process analysis: A regression-based approach. The Guilford Press.

24.

Henderson

V. R.

Kelly

(2005). Food advertising in the age of obesity: Content analysis of food advertising on general market and African American television. Journal of Nutrition Education and Behavior, 37(4), 191–196.

25.

Hill

J. O.

Wyatt

H. R.

Reed

G. W.

Peters

J. C.

(2003). Obesity and the environment: Where do we go from here? Science, 299(5608), 853–855.

26.

Howarth

N. C.

Huang

T. T.

Roberts

S. B.

Lin

B. H.

McCrory

M. A.

(2007). Eating patterns and dietary composition in relation to BMI in younger and older adults. International Journal of Obesity, 31(4), 675–684. https://doi.org/10.1038/sj.ijo.0803456

27.

James

Arcaya

M. C.

Parker

D. M.

Tucker-Seeley

R. D.

Subramanian

S. V.

(2014). Do minority and poor neighborhoods have higher access to fast-food restaurants in the United States? Health Place, 29, 10–17. https://doi.org/10.1016/j.healthplace.2014.04.011

28.

James

(2007). The principles of psychology (Vol. 1). Cosimo, Inc. (Original work published 1890)

29.

Joyner

M. A.

Kim

Gearhardt

A. N.

(2017). Investigating and incentive-sensitization model of eating behavior: Impact of a simulated fast-food laboratory. Clinical Psychological Science, 5(6), 1014–1026. https://doi.org/10.1177/2167702617718828

30.

Kennedy

E. T.

Ohls

S. C.

Fleming

(1995). The Healthy Eating Index: Design and applications. Journal of the American Dietetic Association, 95, 1103–1108.

31.

Kirkpatrick

S. I.

Reedy

Kahle

L. L.

Harris

J. L.

Ohri-Vachaspati

Krebs-Smith

S. M.

(2014). Fast-food menu offerings vary in dietary quality, but are consistently poor. Public Health Nutrition, 17(4), 924–931. https://doi.org/10.1017/S1368980012005563

32.

Kuntsche

Wiers

R. W.

Janssen

Gmel

(2010). Same wording, distinct concepts? Testing differences between expectancies and motives in a mediation model of alcohol outcomes. Experimental and Clinical Psychopharmacology, 18(5), 436–444. https://doi.org/10.1037/a0019724

33.

Langer

S. L.

Soltero

E. G.

Beresford

S. A.

McGregor

B. A.

Albano

D. L.

Patrick

D. L.

Bowen

D. J.

(2018). Socioeconomic status differences in food consumption following a laboratory-induced stressor. Health Psychology Open, 5(2). https://doi.org/10.1177/2055102918804664

34.

Mann

L. M.

Chassin

Sher

K. J.

(1987). Alcohol expectancies and the risk for alcoholism. Journal of Consulting and Clinical Psychology, 55(3), 411–417. https://doi.org/10.1037/0022-006X.55.3.411

35.

Martinez Steele

Baraldi

L. G.

Louzada

M. L.

Moubarac

J. C.

Mozaffarian

Monteiro

C. A.

(2016). Ultra-processed foods and added sugars in the US diet: Evidence from a nationally representative cross-sectional study. BMJ Open, 6(3), Article e009892. https://doi.org/10.1136/bmjopen-2015-009892

36.

McMahon

Jones

B. T.

O’Donnell

(1994). Comparing positive and negative alcohol expectancies in male and female social drinkers. Addiction Research, 1(4), 349–365. https://doi.org/10.3109/16066359409005202

37.

Monk

R. L.

Heim

(2013). Environmental context effects on alcohol-related outcome expectancies, efficacy, and norms: A field study. Psychology of Addictive Behaviors, 27(3), 814–818. https://doi.org/10.1037/a0033948

38.

Monteiro

C. A.

Cannon

Moubarac

J. C.

Levy

R. B.

Louzada

M. L. C.

Jaime

P. C.

(2018). The UN decade of nutrition, the NOVA food classification and the trouble with ultra-processing. Public Health Nutrition, 21(1), 5–17. https://doi.org/10.1017/S1368980017000234

39.

Morean

M. E.

Corbin

W. R.

Treat

T. A.

(2012). The Anticipated Effects of Alcohol Scale: Development and psychometric evaluation of a novel assessment tool for measuring alcohol expectancies. Psychological Assessment, 24(4), 1008–1023. https://doi.org/10.1037/a0028982

40.

Nguyen

B. T.

Powell

L. M.

(2014). The impact of restaurant consumption among US adults: Effects on energy and nutrient intakes. Public Health Nutrition, 17(11), 2445–2452. https://doi.org/10.1017/S1368980014001153

41.

Nijs

I. M.

Franken

I. H. A.

(2012). Attentional processing of food cues in overweight and obese individuals. Current Obesity Reports, 1(2), 106–113.

42.

Ogden

C. L.

Carroll

M. D.

Kit

B. K.

Flegal

K. M.

(2012). Prevalence of obesity and trends in body mass index among US children and adolescents, 1999-2010. JAMA, 307(5), 483–490. https://doi.org/10.1001/jama.2012.40

43.

Erinosho

Dunton

G. F. M. P.

Berrigan

(2014). Cross-sectional examination of physical and social contexts of episodes of eating and drinking in a national sample of US adults. Public Health Nutrition, 17(12), 2721–2729. https://doi.org/10.1017/S1368980013003315

44.

Ouwens

M. A.

van Strien

van Leeuwe

J. F.

(2009). Possible pathways between depression, emotional and external eating. A structural equation model. Appetite, 53, 245–248. https://doi.org/10.1016/j.appet.2009.06.001

45.

Page

R. M.

Brewster

(2009). Depiction of food as having drug-like properties in televised food advertisements directed at children: Portrayals as pleasure enhancing and addictive. Journal of Pediatric Health Care, 23(3), 150–157.

46.

Pearson

C. M.

Riley

E. N.

Davis

H. A.

Smith

G. T.

(2014). Research Review: Two pathways toward impulsive action: An integrative risk model for bulimic behavior in youth. Journal of Child Psychology and Psychiatry, 55(8), 852–864.

47.

Powell

L. M.

Chaloupka

F. J.

Bao

(2007). The availability of fast-food and full-service restaurants in the United States: Associations with neighborhood characteristics. American Journal of Preventive Medicine, 33(Suppl. 4), S240–S245. https://doi.org/10.1016/j.amepre.2007.07.005

48.

Reich

R. R.

Below

M. C.

Goldman

M. S.

(2010). Explicit and implicit measures of expectancy and related alcohol cognitions: A meta-analytic comparison. Psychology of Addictive Behaviors, 24(1), 13–25. https://doi.org/10.1037/a0016556

49.

Robinson

Haynes

Hardman

C. A.

Kemps

Higgs

Jones

(2017). The bogus taste test: Validity as a measure of laboratory food intake. Appetite, 116, 223–231. https://doi.org/10.1016/j.appet.2017.05.002

50.

Schnabel

Kesse-Guyot

Alles

Touvier

Srour

Hercberg

Buscail

Julia

(2019). Association between ultraprocessed food consumption and risk of mortality among middle-aged adults in France. JAMA Internal Medicine, 179(4), 490–498. https://doi.org/10.1001/jamainternmed.2018.7289

51.

Schulte

E. M.

Gearhardt

A. N.

(2018). Associations of food addiction in a sample recruited to be nationally representative of the United States. European Eating Disorders Review, 26(2), 112–119. https://doi.org/10.1002/erv.2575

52.

Scott-Sheldon

L. A.

Terry

D. L.

Carey

K. B.

Garey

Carey

M. P.

(2012). Efficacy of expectancy challenge interventions to reduce college student drinking: A meta-analytic review. Psychology of Addictive Behaviors, 26(3), 393–405. https://doi.org/10.1037/a0027565

53.

Shimokata

Tobin

J. D.

Muller

D. C.

Elahi

Coon

P. J.

Andres

(1989). Studies in the distribution of body fat: I. Effects of age, sex, and obesity. Journal of Gerontology, 44(2), M66–M73.

54.

Smit

Voogt

Hiemstra

Kleinjan

Otten

Kuntsche

(2018). Development of alcohol expectancies and early alcohol use in children and adolescents: A systematic review. Clinical Psychology Review, 60, 136–146.

55.

Smith

G. T.

Goldman

M. S.

(1994). Alcohol expectancy theory and the identification of high-risk adolescents. Journal of Research on Adolescence, 4(2), 229–247.

56.

Tolman

E. C.

(1949). Purposive behavior in animals and men. University of California Press.

57.

Tsenkova

Boylan

J. M.

Ryff

(2013). Stress eating and health. Findings from MIDUS, a national study of US adults. Appetite, 69, 151–155. https://doi.org/10.1016/j.appet.2013.05.020

58.

Van Dyke

Greer

Odom

Schieb

Vaughan

Kramer

Casper

(2018). Heart disease death rates among blacks and whites aged > 35 years—United States, 1968-2015. Morbidity and Mortality Weekly Report, 67(5), 1–11.

59.

van Strien

Cebolla

Etchemendy

Gutierrez-Maldonado

Ferrer-Garcia

Botella

Baños

(2013). Emotional eating and food intake after sadness and joy. Appetite, 66, 20–25.

60.

van Strien

Herman

C. P.

Anschutz

D. J.

Engels

R. C.

de Weerth

(2012). Moderation of distress-induced eating by emotional eating scores. Appetite, 58, 277–284. https://doi.org/10.1016/j.appet.2011.10.005

61.

Wall

A.-M.

Hinson

R. E.

McKee

S. A.

Goldstein

(2001). Examining alcohol outcome expectancies in laboratory and naturalistic bar settings: A within-subject experimental analysis. Psychology of Addictive Behaviors, 15(3), 219–226. https://doi.org/10.1037/0893-164x.15.3.219

62.

Wall

A.-M.

McKee

S. A.

Hinson

R. E.

(2000). Assessing variation in alcohol outcome expectancies across environmental context: An examination of the situational-specificity hypothesis. Psychology of Addictive Behaviors, 14(4), 367–375. https://doi.org/10.1037/0893-164x.14.4.367

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