TY - JOUR
T1 - Approach–avoidance tendencies towards food: Measurement on a touchscreen and the role of attention and food craving
AU - Meule, A.
AU - Lender, A.
AU - Richard, A.
AU - Dinic, R.
AU - Blechert, J.
N1 - Cited By :24
Export Date: 14 December 2023
CODEN: APPTD
Correspondence Address: Meule, A.; University of Salzburg, Hellbrunner Straße 34, Austria; email: [email protected]
Funding details: Horizon 2020 Framework Programme, H2020, 639445
Funding details: European Research Council, ERC
Funding details: Horizon 2020, ERC-StG-2014 639445
Funding text 1: This work was supported by the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation program (ERC-StG-2014 639445 NewEat). The authors would like to thank Anna Ahamer, Max Bauer, Sarah Haslinger, Fabian Hirsch, Sandra Kreutzberg, Lina Lahmer, and Christian Seel for collecting the data.
Funding text 2: This work was supported by the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation program ( ERC-StG-2014 639445 NewEat). The authors would like to thank Anna Ahamer, Max Bauer, Sarah Haslinger, Fabian Hirsch, Sandra Kreutzberg, Lina Lahmer, and Christian Seel for collecting the data.
References: Aulbach, M.B., Knittle, K., Haukkala, A., Implicit process interventions in eating behaviour: A meta-analysis examining mediators and moderators (2019) Health Psychology Review, , (in press); Blechert, J., Meule, A., Busch, N.A., Ohla, K., Food-pics: An image database for experimental research on eating and appetite (2014) Frontiers in Psychology, 5 (617), pp. 1-10; Brockmeyer, T., Hahn, C., Reetz, C., Schmidt, U., Friederich, H.-C., Approach bias and cue reactivity towards food in people with high versus low levels of food craving (2015) Appetite, 95, pp. 197-202; Carretié, L., Exogenous (automatic) attention to emotional stimuli: A review (2014) Cognitive, Affective, & Behavioral Neuroscience, 14, pp. 1228-1258; Hayes, A.F., Introduction to mediation, moderation, and conditional process analysis (2018), 2nd ed. The Guilford Press New York, NY; Kakoschke, N., Kemps, E., Tiggemann, M., Combined effects of cognitive bias for food cues and poor inhibitory control on unhealthy food intake (2015) Appetite, 87, pp. 358-364; Kersbergen, I., Woud, M.L., Field, M., The validity of different measures of automatic alcohol action tendencies (2015) Psychology of Addictive Behaviors, 29, pp. 225-230; Lender, A., Meule, A., Rinck, M., Brockmeyer, T., Blechert, J., Measurement of food-related approach–avoidance biases: Larger biases when food stimuli are task relevant (2018) Appetite, 125, pp. 42-47; Maas, J., Keijsers, G.P.J., Rinck, M., Sharbanee, J.M., Vroling, M.S., Becker, E.S., Implicit action tendencies and evaluations in unwanted snacking behavior (2017) International Journal of Cognitive Therapy, 10, pp. 79-91; Maas, J., Keijsers, G.P.J., Rinck, M., Tanis, J., Becker, E.S., Does a dieting goal affect automatic cognitive processes and their trainability? (2015) Cognitive Therapy and Research, 39, pp. 378-389; Maas, J., Woud, M.L., Keijsers, G.P.J., Rinck, M., Becker, E.S., Wiers, R.W., The attraction of sugar: An association between body mass index and impaired avoidance of sweet snacks (2017) Journal of Experimental Psychopathology, 8, pp. 40-54; Machulska, A., Zlomuzica, A., Adolph, D., Rinck, M., Margraf, J., “A cigarette a day keeps the goodies away”: Smokers show automatic approach tendencies for smoking—but not for food-related stimuli (2015) PLoS ONE, 10 (2); Mathôt, S., Bayes like a Baws: Interpreting bayesian repeated measures in JASP (2017), https://www.cogsci.nl/blog/interpreting-bayesian-repeated-measures-in-jasp, Retrieved from; Meule, A., Hormes, J.M., Chocolate versions of the Food Cravings Questionnaires. Associations with chocolate exposure-induced salivary flow and ad libitum chocolate consumption (2015) Appetite, 91, pp. 256-265; Parsons, S., splithalf: robust estimates of split half reliability (Version 4). figshare (2018); Parsons, S., Kruijt, A.-W., Fox, E., Psychological Science needs a standard practice of reporting the reliability of cognitive behavioural measurements (2018) PsyArXiv; Paslakis, G., Kühn, S., Grunert, S., Erim, Y., Explicit and implicit approach vs. avoidance tendencies towards high vs. low calorie food cues in patients with obesity and active binge eating disorder (2017) Nutrients, 9 (10), pp. 1-16; Paslakis, G., Kühn, S., Schaubschläger, A., Schieber, K., Röder, K., Rauh, E., Explicit and implicit approach vs. avoidance tendencies towards high vs. low calorie food cues in patients with anorexia nervosa and healthy controls (2016) Appetite, 107, pp. 171-179; Phaf, R.H., Mohr, S.E., Rotteveel, M., Wicherts, J.M., Approach, avoidance, and affect: A meta-analysis of approach-avoidance tendencies in manual reaction time tasks (2014) Frontiers in Psychology, 5 (378), pp. 1-16; Rinck, M., Becker, E.S., Approach and avoidance in fear of spiders (2007) Journal of Behavior Therapy and Experimental Psychiatry, 38, pp. 105-120; Solarz, A.K., Latency of instrumental responses as a function of compatibility with the meaning of eliciting verbal signs (1960) Journal of Experimental Psychology, 59, pp. 239-245; Wiers, R.W., Rinck, M., Kordts, R., Houben, K., Strack, F., Retraining automatic action-tendencies to approach alcohol in hazardous drinkers (2010) Addiction, 105, pp. 279-287; World Health Organization, Obesity: Preventing and managing the global epidemic (2000), World Health Organization GenevaUR - https://www.scopus.com/inward/record.uri?eid=2-s2.0-85062466931&doi=10.1016%2fj.appet.2019.03.002&partnerID=40&md5=551bb37411edcd2387527614530da56c
PY - 2019/6/1
Y1 - 2019/6/1
N2 - Automatic approach tendencies are often assessed with joystick-based approach–avoidance tasks (AATs). In line with similar studies, we have previously shown that individuals show an approach bias towards palatable food only when picture valence (i.e., the content of the picture) is relevant for task performance. In the current study, we adapted this joystick-based AAT for implementation on a touchscreen, which required participants to perform more naturalistic approach–avoidance movements. One-hundred and seven participants (73% female) were instructed to pull or push pictures of chocolate-containing food and non-edible objects either based on picture content (content group, n = 36), frame color (frame group, n = 35), or a symbol superimposed in the center of each picture (symbol group, n = 36). No approach bias towards food was detected in either group. However, trait chocolate craving and a general preference for chocolate related to higher approach bias scores only in the content group, but not in the frame or symbol group. In addition, only participants in the content group reported increases of current chocolate craving throughout the task. While this touchscreen-based AAT did not replicate results from its joystick-based equivalent, results are in line with suggestions that explicit task instructions may be preferred over implicit task instructions (i.e., when participants have to respond to valence-irrelevant features). Future studies may examine if and how touchscreen-based AATs can be implemented for modifying approach tendencies towards unhealthy food and, ultimately, reducing consumption of these foods.
AB - Automatic approach tendencies are often assessed with joystick-based approach–avoidance tasks (AATs). In line with similar studies, we have previously shown that individuals show an approach bias towards palatable food only when picture valence (i.e., the content of the picture) is relevant for task performance. In the current study, we adapted this joystick-based AAT for implementation on a touchscreen, which required participants to perform more naturalistic approach–avoidance movements. One-hundred and seven participants (73% female) were instructed to pull or push pictures of chocolate-containing food and non-edible objects either based on picture content (content group, n = 36), frame color (frame group, n = 35), or a symbol superimposed in the center of each picture (symbol group, n = 36). No approach bias towards food was detected in either group. However, trait chocolate craving and a general preference for chocolate related to higher approach bias scores only in the content group, but not in the frame or symbol group. In addition, only participants in the content group reported increases of current chocolate craving throughout the task. While this touchscreen-based AAT did not replicate results from its joystick-based equivalent, results are in line with suggestions that explicit task instructions may be preferred over implicit task instructions (i.e., when participants have to respond to valence-irrelevant features). Future studies may examine if and how touchscreen-based AATs can be implemented for modifying approach tendencies towards unhealthy food and, ultimately, reducing consumption of these foods.
KW - Approach
KW - Avoidance
KW - Chocolate
KW - Craving
KW - Eating behavior
KW - Food
KW - adult
KW - article
KW - attention
KW - avoidance behavior
KW - chocolate
KW - controlled study
KW - feeding behavior
KW - female
KW - food craving
KW - human
KW - human experiment
KW - major clinical study
KW - male
KW - adolescent
KW - craving
KW - food preference
KW - hunger
KW - middle aged
KW - psychology
KW - reaction time
KW - statistical bias
KW - task performance
KW - young adult
KW - Adolescent
KW - Adult
KW - Attention
KW - Bias
KW - Female
KW - Food Preferences
KW - Humans
KW - Hunger
KW - Male
KW - Middle Aged
KW - Reaction Time
KW - Task Performance and Analysis
KW - Young Adult
UR - https://www.mendeley.com/catalogue/8c1da793-548b-39aa-8e41-b25c4769638f/
U2 - 10.1016/j.appet.2019.03.002
DO - 10.1016/j.appet.2019.03.002
M3 - Article
SN - 0195-6663
VL - 137
SP - 145
EP - 151
JO - Appetite
JF - Appetite
ER -