Abstract
Purpose of Review
The Yale Food Addiction Scale (YFAS) is a self-report questionnaire for the assessment of addiction-like consumption of high-calorie, processed foods. The original scale was developed in 2009 and—for its tenth anniversary—we now review studies using its revised version—the YFAS 2.0.
Recent Findings
The 11 symptoms of food addiction as measured with the YFAS 2.0 demonstrated high internal reliability and a unidimensional structure in several studies, supporting construct validity. Similar to the original YFAS, highest prevalence rates of YFAS 2.0 diagnoses were found in individuals with bulimia nervosa, followed by binge eating disorder, anorexia nervosa, subthreshold eating disorders, obesity, and unselected samples. Scores on the YFAS 2.0 were associated with other disordered eating behaviors and several co-morbid mental disorders.
Summary
The YFAS 2.0 is an internal reliable measure that shows factorial validity, yet more studies are needed that demonstrate retest-reliability and predictive validity. Prevalence rates and correlates of YFAS 2.0 diagnoses are largely similar to those observed with the original YFAS.
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Introduction
Throughout the twentieth century until now, researchers have discussed whether certain foods may have an addiction potential and, thus, whether the eating behavior of some people may be addictive [1]. In 2009, the Yale Food Addiction Scale (YFAS) was developed as a self-report measure for the assessment of such an addiction-like eating behavior [2]. Specifically, the questionnaire is based on the diagnostic criteria for substance dependence in the fourth version of the Diagnostic and Statistical Manual of Mental Disorders (DSM-IV) and, accordingly, evaluates the presence of seven “food addiction” symptoms. A dichotomous score can also be calculated for classifying individuals as “food addicted.” The YFAS would turn out to be a popular, widely used instrument and, in fact, the standard measure for capturing addiction-like eating tendencies. Because of this, we provided a comprehensive review about the rationale and scoring of the scale, its different versions and translations, and its psychometric properties and correlates as well as about prevalence of food addiction symptoms and diagnoses, for its fifth anniversary in 2014 [3•].
In 2013, DSM-5 was released, which introduced significant changes to the diagnostic criteria for substance dependence. Specifically, the four symptoms of substance abuse and seven symptoms of substance dependence were merged. Additionally, one symptom—legal troubles because of substance use—was removed from the diagnostic criteria and another symptom—craving—was added as a new diagnostic criterion. Thus, DSM-5 now lists 11 symptoms of—which is now called—substance use disorder [4]. To acknowledge these changes, a revised version of the YFAS—the YFAS 2.0—was published in 2016 [5•]. Similar to our previous work about the YFAS [3•], the current article describes the rationale and scoring of the YFAS 2.0, including a detailed description of the changes made compared with the YFAS. Furthermore, we will review studies that have been conducted with the scale and summarize findings about its psychometric properties, prevalence rates of food addiction, and correlates of YFAS 2.0 scores.
Yale Food Addiction Scale 2.0
Development and Scoring
The YFAS consisted of 25 items with different response categories for capturing seven food addiction symptoms. Two items assessed a clinically significant impairment or distress due to one’s eating behavior. Three items were primer items that were not included in the scoring procedure. For the YFAS 2.0, new items were added, unscored items were removed, and item wordings were reformulated. The YFAS 2.0 consists of 35 items for capturing 11 food addiction symptoms (Table 1). In contrast to the YFAS, each item now has the same response format, ranging from 0 = never to 7 = every day. Further, changes in item wordings include lowering reading difficulty, consistent use of past tense, and rewording to improve clarity.
Similar to the original YFAS, items are preceded by an instruction, which references the consumption of foods high in fat and/or refined carbohydrates, as these foods are most relevant to food cravings and eating binges. To score the scale, all item scores are transformed to a dichotomous format (0 and 1). The cut-off values (i.e., which scores are coded with 0 and which scores are coded with 1) differ across items (Table 1). Each of the 11 symptoms is assessed by two or three items. Two items assess a clinically significant impairment or distress due to one’s eating behavior. The dichotomized responses are summed up for each symptom and for the clinically significant distress/impairment questions. If there is a score of at least 1 within a symptom, then this symptom is met. The number of symptoms can then be added up to a symptom score, which can range between zero and 11 symptoms.
In line with the diagnostic criteria for substance use disorder in DSM-5, there are three different severity levels when calculating the diagnostic score of the scale. When the criterion of a clinically significant impairment or distress is met, two or three symptoms indicate “mild food addiction,” four or five symptoms indicate “moderate food addiction,” and six or more symptoms indicate “severe food addiction.” An SPSS syntax for scoring the scale can be found in Appendix 1.
Psychometric Properties
Factor Structure
As item scores of the YFAS 2.0 are not simply added up to a total score, factor structure has been tested at the symptom rather than the item level. That is, factor analyses were applied on the 11 symptom scores (i.e., symptom met vs. symptom not met) instead of the 35 item scores. The distress/impairment criterion was not included here as it reflects the clinical significance of the full syndrome rather than indicators of individual criteria. Across different samples, the 11 symptoms showed a one-factorial structure, indicating that all symptoms represent food addiction as a single construct [5•, 6,7,8,9,10]. Factor structure has been found to be invariant across different racial groups (Black vs. White US participants), yet measurement invariance was only partially supported in men versus women [11].
Reliability
Internal reliability was good (α = .80–90) or excellent (α > .90) in numerous studies [5•, 6,7,8,9,10, 12,13,14,15,16,17,18]. As researchers often do not indicate how internal reliability was determined exactly in their studies, we again would like to highlight here that it is not advisable to calculate Cronbach’s alpha of raw scores of all items as these are not simply summed up to a total score. Instead, we suggest calculating Kuder-Richardson’s alpha for the dichotomous scores of the 11 food addiction symptoms. Retest-reliability across 3 weeks was high for the Arabic version [15].
Translated and Modified Versions
The YFAS 2.0 has been translated into German [6], French [9], Italian [7], Turkish [19], Spanish [20•], Korean [21], Arabic [15], and Japanese [22]. A modified YFAS 2.0 (mYFAS 2.0) has been developed, which is a short form of the YFAS 2.0 [23]. The mYFAS 2.0 consists of 13 items (one item for each symptom and two items for clinically significant impairment or distress). The specific items of the YFAS 2.0 that form the mYFAS 2.0 are depicted in Table 1. An SPSS syntax for scoring the scale can be found in Appendix 2. Similar to the long version, the mYFAS 2.0 showed a one-factor structure, high internal reliability, and full measurement invariance across racial groups [23,24,25]. However, the scale was only partially invariant for men and women, suggesting that two of the 11 symptoms may be less associated with food addiction for women compared with men [24]. The mYFAS has also been used in Brazilian Portuguese [26, 27] and Italian [28]. Finally, a 16-item version of the YFAS 2.0 for children and adolescents has recently been developed, for which items are scored dimensionally (i.e., are summed up to a total score) [29]. The English versions of the YFAS 2.0, mYFAS 2.0, and YFAS 2.0 for children can be downloaded along with scoring instructions here: https://fastlab.psych.lsa.umich.edu/yale-food-addiction-scale.
Prevalence of YFAS 2.0 Diagnoses
Prevalence rates of food addiction diagnoses from different studies that used the YFAS 2.0 are displayed in Table 2. Figure 1 displays a more schematic depiction of prevalence rates as a function of specific samples studied. In broad samples—some very selective and some more representative for the general population—prevalence rates of YFAS 2.0 diagnoses roughly ranged between 3 and 20%. Using the mYFAS 2.0, food addiction prevalence was 4% in a large sample in Brazil [27], 6% in a sample in Italy [28], and ranged between 13 and 15% in US samples [23, 25].
In samples with obesity, prevalence rates of YFAS 2.0 diagnoses ranged between approximately 20 and 50%. In samples with individuals with eating disorders, prevalence rates were higher than 60%, with the highest numbers found in individuals with bulimia nervosa. In fact, about 95% of individuals with bulimia nervosa received a YFAS 2.0 diagnosis across different studies [20•, 30, 31]. In individuals with anorexia nervosa, those with binge/purge anorexia subtype have higher prevalence rates than those with restrictive anorexia. Yet, still more than half of individuals with restrictive anorexia receive a food addiction diagnosis [31].
Interestingly, it appears that severe food addiction diagnoses are more prevalent than moderate or mild food addiction diagnoses [5•, 6,7,8, 10, 14,15,16, 32, 33]. That is, most people that meet the distress/impairment criterion also endorse at least six of the 11 symptoms (or vice versa). Although many individuals may meet several (up to five) symptoms, it is rather uncommon that these also report significant distress or impairment.
Correlates of the YFAS 2.0
Sex
Similar to findings with the YFAS, women tend to have a higher likelihood of meeting the YFAS 2.0 diagnosis than men in unselected or nationally representative samples [5•, 7, 9, 11, 33]. It has also been found that men and women had similar YFAS 2.0 symptom counts and that the sex difference was driven by women endorsing the distress/impairment criterion more often [11]. Moreover, the correlation between YFAS 2.0 scores and body mass index was descriptively higher in men (r = .54) than in women (r = .36) in an unselected sample (yet the difference in the size of these correlations was not statistically tested) [13]. Among samples with obesity, however, those with and without a YFAS 2.0 diagnosis did not differ regarding sex distribution in the majority of studies [6, 8, 34•]. In a study with bariatric surgery candidates, however, a significantly higher percentage of women than men received a YFAS 2.0 diagnosis, but this effect was small [16]. Thus, it might be that sex differences in food addiction diagnoses in non-obese samples can be explained by the fact that individuals with bulimia and anorexia nervosa are mostly women who are under- or normal-weight and these conditions highly overlap with YFAS 2.0 diagnoses.
Body Weight
Body mass index usually shows small, positive associations with YFAS 2.0 scores in unselected samples [5•, 6, 7, 9, 15, 33]. Furthermore, samples with obesity have a higher prevalence of food addiction than non-obese samples (Table 2). However, it has been previously observed that the relationship between food addiction and body mass index appears to be non-linear [40]. Specifically, food addiction positively relates to body mass index, but this slope levels off in higher body weight ranges: within samples with obesity, for example, those with and without a YFAS 2.0 diagnosis usually do not differ in body mass index [6, 8, 12, 16, 39]. As of this writing, there has been only one study that examined the prospective relationship between YFAS 2.0 scores and body weight change. In morbidly obese patients seeking bariatric surgery, those with a food addiction diagnosis lost less weight during a dietary and lifestyle intervention prior to surgery than those without a food addiction diagnosis [34•].
Eating Behaviors
Scores on the YFAS 2.0 are strongly associated with disinhibited eating behavior, experiences of food cravings, binge eating symptoms, and frequency of binge eating episodes [5•, 6, 7, 9, 14, 32, 33]. Relationships with other eating disorder symptoms (e.g., eating, weight, and shape concern) and eating styles (e.g., emotional eating, grazing) are typically of moderate magnitude [6,7,8,9, 17]. Restrained eating has been linked inconsistently to YFAS 2.0 scores with studies finding either no or only small associations [5•, 6,7,8,9, 14]. Regarding nutritional profiles, one study showed that those with food addiction reported higher intakes of confectionary, fast food, snack foods, hot chips, potato crisps, and soft drinks and lower intakes of core foods like fruits and vegetables and were less likely to eat breakfast every day than those without food addiction [13]. Yet, it has also been found that those with a YFAS 2.0 diagnosis report decreased enjoyment of eating highly processed foods [39].
Co-morbid Mental Disorders
Food addiction diagnoses as assessed with the YFAS 2.0 are associated with a range of mental disorders such as depression, anxiety disorders, posttraumatic stress disorder, and attention deficit hyperactivity disorder [7, 8, 12, 14, 16, 32]. Some studies also reported relations to higher stress, hopelessness, suicidality, non-suicidal self-injury, difficulties in emotion regulation, and lower sleep quality [7, 8, 10, 13, 31]. In obese patients seeking bariatric surgery, no associations were detected between YFAS 2.0 scores and substance-related addictions such as alcohol use disorder or tobacco use disorder [8, 16], but one study suggested that food addiction relates to a higher prevalence of other addictive behaviors such as compulsive buying and Internet use [16].
Executive Functioning and Personality
Obese individuals with a YFAS 2.0 diagnosis (either with or without binge eating disorder) did not differ in executive functioning from obese individuals without a YFAS 2.0 diagnosis (either with or without binge eating disorder) [41]. Another study found weak, inconsistent support for deficits in executive functioning with higher YFAS 2.0 scores in a small sample [35]. Higher YFAS 2.0 scores relate to higher self-reported impulsivity, particularly to attentional impulsivity (e.g., having problems concentrating), motor impulsivity (e.g., acting without thinking), and negative urgency (i.e., acting rashly in response to negative emotions) [6, 35, 42]. A study which differentiated between impulsivity and sensation seeking—two positively related constructs—found that although those with food addiction reported higher impulsivity, they showed lower sensation seeking than those without food addiction [13]. A study using the Spanish version of the YFAS 2.0 found no association with novelty seeking, but a positive association with harm avoidance and a negative association with self-directedness [20•].
Summary and Outlook
YFAS Vs. YFAS 2.0
Although the changes from the YFAS to YFAS 2.0 have been quite substantial, it appears that psychometric properties, food addiction prevalence rates, and correlates of the YFAS 2.0 (and mYFAS 2.0) are largely similar to findings with the YFAS. These include, for example, their good-to-excellent internal reliability, unidimensional structure, very high food addiction prevalence rates in samples with eating disorders, and a positive—but non-linear—relationship with body weight [3•]. Few exceptions include, for example, the child version of the YFAS 2.0. Here, the newly added symptoms received very low endorsement rates, which necessitated refinement of the scale through item selection and a different scoring procedure [29]. Thus, future revisions of the YFAS 2.0 for children may be required so that the scale can be used in children and adolescents as an equivalent to the YFAS 2.0 in adults.
After the changes of substance dependence criteria from DSM-IV to DSM-5, one concern regarding the YFAS 2.0 was that food addiction prevalence may now be substantially higher than with the YFAS as meeting only two symptoms (and the distress/impairment criterion) suffices to receive a food addiction diagnosis [43]. Yet, it appears that this concern was unjustified. As described above, most individuals who endorse only two symptoms on the YFAS 2.0 rarely meet the distress/impairment criterion and those who meet the distress/impairment criterion usually endorse several symptoms. In other words, although many people may experience food cravings and feel that they lost control of their consumption, they do not suffer from it. This suggests that the YFAS 2.0 may have high specificity to detect individuals with an addiction-like eating behavior.
Future Directions
While the YFAS 2.0 shows good psychometric properties, only one study has reported retest-reliability (over a relatively short time period of 3 weeks) [15]. Thus, additional studies using longer follow-up periods are necessary to evaluate the long-term stability of YFAS 2.0 scores appropriately. Similarly, more longitudinal studies are necessary that examine the prospective relationship between YFAS 2.0 scores and outcomes such as weight change. To date, only one study has examined such associations and points towards poorer weight loss in individuals with food addiction during a weight-loss intervention [34•].
An ongoing debate is the distinctiveness of food addiction as measured with the YFAS and YFAS 2.0 with established eating disorder diagnoses [44, 45]. While discriminant validity of the YFAS 2.0 is supported regarding constructs such as dietary restraint, it highly overlaps with conditions such as bulimia nervosa and binge eating disorder. Therefore, future research needs to determine not only the cross-sectional relation between these conditions but also examine other characteristics such as their predictive power regarding eating and weight outcomes, for example after psychotherapy or weight management programs.
Yet, the high degree of overlap is somewhat expected given the overlapping mechanisms implicated in both binge-related eating disorders and addictive disorders (e.g., impulsivity, emotion dysregulation, craving), but there are also mechanistic explanations that are unique to an addiction perspective [46]. Specifically, the addiction perspective proposes that the types of foods commonly consumed during binge eating episodes (e.g., foods high in refined carbohydrates and fat) may be capable of causing reward-related adaptations that drive forward compulsive patterns of behavior [46]. Although there is strong animal evidence in support of this concept [47, 48], additional studies are needed to investigate this hypothesis in humans. Such studies may reveal a clearer picture about the distinctiveness of food addiction and binge-related eating disorders. Further, the relatively high rates of YFAS 2.0 food addiction in patients with restrictive-type anorexia nervosa are unexpected and may require qualitative work to investigate whether the scale may be interpreted differently in this population.
Conclusions
In conclusion, the development of the YFAS 2.0 has provided an updated assessment tool to support continued investigation into the food addiction hypothesis based on the current diagnostic understanding of addiction. The YFAS and YFAS 2.0 exhibit similar psychometric properties and estimate similar prevalence rates of food addiction. Importantly, the YFAS 2.0 is associated with clinically relevant correlates, including obesity, disordered eating, depression, and some measures of executive functioning difficulties. Future longitudinal research, particularly regarding the ability of the YFAS 2.0 to predict treatment outcomes, is needed. As the scientific understanding of the best ways to conceptualize and assess addictive disorders evolves, future iterations of the YFAS will likely be needed to reflect these advances.
References
Papers of particular interest, published recently, have been highlighted as: • Of importance
Meule A. A history of “food addiction”. In: Cottone P, Sabino V, Moore C, Koob G, editors. Food addiction and compulsive eating behavior. Philadelphia, PA: Elsevier; 2019.
Gearhardt AN, Corbin WR, Brownell KD. Preliminary validation of the Yale Food Addiction Scale. Appetite. 2009;52:430–6. https://doi.org/10.1016/j.appet.2008.12.003.
• Meule A, Gearhardt AN. Five years of the Yale Food Addiction Scale: taking stock and moving forward. Curr Addict Rep. 2014;1:193–205. https://doi.org/10.1007/s40429-014-0021-z. This article provides a comprehensive review of studies using the original YFAS.
American Psychiatric Association. Diagnostic and statistical manual of mental disorders. 5th ed. Washington, DC: American Psychiatric Association; 2013.
• Gearhardt AN, Corbin WR, Brownell KD. Development of the Yale Food Addiction Scale Version 2.0. Psychol Addict Behav. 2016;30:113–21. https://doi.org/10.1037/adb0000136 This article reports the development of the Yale Food Addiction Scale 2.0.
Meule A, Müller A, Gearhardt AN, Blechert J. German version of the Yale Food Addiction Scale 2.0: prevalence and correlates of ‘food addiction’ in students and obese individuals. Appetite. 2017;115:54–61. https://doi.org/10.1016/j.appet.2016.10.003.
Aloi M, Rania M, Muñoz RCR, Murcia SJ, Fernández-Aranda F, De Fazio P, et al. Validation of the Italian version of the Yale Food Addiction Scale 2.0 (I-YFAS 2.0) in a sample of undergraduate students. Eat Weight Disord. 2017;22:527–33. https://doi.org/10.1007/s40519-017-0421-x.
Benzerouk F, Gierski F, Ducluzeau P-H, Bourbao-Tournois C, Gaubil-Kaladjian I, Bertin É, et al. Food addiction, in obese patients seeking bariatric surgery, is associated with higher prevalence of current mood and anxiety disorders and past mood disorders. Psychiatry Res. 2018;267:473–9. https://doi.org/10.1016/j.psychres.2018.05.087.
Brunault P, Courtois R, Gearhardt AN, Gaillard P, Journiac K, Cathelain S, et al. Validation of the French version of the DSM-5 Yale Food Addiction Scale in a nonclinical sample. Can J Psychiatr. 2017;62:199–210. https://doi.org/10.1177/0706743716673320.
Linardon J, Messer M. Assessment of food addiction using the Yale Food Addiction Scale 2.0 in individuals with binge-eating disorder symptomatology: factor structure, psychometric properties, and clinical significance. Psychiatry Res. in press. https://doi.org/10.1016/j.psychres.2019.03.003.
Carr MM, Catak PD, Pejsa-Reitz MC, Saules KK, Gearhardt AN. Measurement invariance of the Yale Food Addiction Scale 2.0 across gender and racial groups. Psychol Assess. 2017;29:1044–52. https://doi.org/10.1037/pas0000403.
Brunault P, Frammery J, Montaudon P, De Luca A, Hankard R, Ducluzeau PH, et al. Adulthood and childhood ADHD in patients consulting for obesity is associated with food addiction and binge eating, but not sleep apnea syndrome. Appetite. 2019;136:25–32. https://doi.org/10.1016/j.appet.2019.01.013.
Burrows T, Hides L, Brown R, Dayas CV, Kay-Lambkin F. Differences in dietary preferences, personality and mental health in Australian adults with and without food addiction. Nutrients. 2017;9(285):1–13. https://doi.org/10.3390/nu9030285.
Carter JC, Van Wijk M, Rowsell M. Symptoms of ‘food addiction’ in binge eating disorder using the Yale Food Addiction Scale version 2.0. Appetite. 2019;133:362–9. https://doi.org/10.1016/j.appet.2018.11.032.
Fawzi M, Fawzi M. Validation of an Arabic version of the Yale Food Addiction Scale 2.0. East Mediterr Health J. 2018;24:745–52. https://doi.org/10.26719/2018.24.8.745.
Müller A, Leukefeld C, Hase C, Gruner-Labitzke K, Mall JW, Köhler H, et al. Food addiction and other addictive behaviours in bariatric surgery candidates. Eur Eat Disord Rev. 2018;26:585–96. https://doi.org/10.1002/erv.2629.
Reas DL, Lindvall Dahlgren C, Wonderlich J, Syversen G, Lundin Kvalem I. Confirmatory factor analysis and psychometric properties of the Norwegian version of the repetitive eating questionnaire: further evidence for two distinct subtypes of grazing behaviour. Eur Eat Disord Rev. 2019;27:205–11. https://doi.org/10.1002/erv.2631.
Schulte EM, Smeal JK, Lewis J, Gearhardt AN. Development of the highly processed food withdrawal scale. Appetite. 2018;131:148–54. https://doi.org/10.1016/j.appet.2018.09.013.
Senguzel E, Oztora S, Dagdeviren HN. Internal reliability analysis of the Turkish version of the Yale Food Addiction Scale. Eurasian J Fam Med. 2018;7:14–8.
• Granero R, Jiménez-Murcia S, Gearhardt AN, Aguera Z, Aymamí N, Gómez-Peña M, et al. Validation of the Spanish version of the Yale Food Addiction Scale 2.0 (YFAS 2.0) and clinical correlates in a sample of eating disorder, gambling disorder and healthy control participants. Front Psychiatry. 2018;9(208):1–11. https://doi.org/10.3389/fpsyt.2018.00208 This article reports prevalence rates of food addiction as measured with the YFAS 2.0 in different groups of patients with eating disorders.
Shin S-M, Yun J, Cho Y, Ko E, Park M-J. Validation study of the Korean version of the YFAS 2.0. Korean J Woman Psychol. 2018;23:25–49.
Khine MT, Ota A, Gearhardt AN, Fujisawa A, Morita M, Minagawa A, et al. Validation of the Japanese version of the Yale Food Addiction Scale 2.0 (J-YFAS 2.0). Nutrients. 2019;11(687):1–13. https://doi.org/10.3390/nu11030687.
Schulte EM, Gearhardt AN. Development of the modified Yale Food Addiction Scale version 2.0. Eur Eat Disord Rev. 2017;25:302–8. https://doi.org/10.1002/erv.2515.
Carr MM, Schulte EM, Saules KK, Gearhardt AN. Measurement invariance of the modified Yale Food Addiction Scale 2.0 across gender and racial groups. Assessment. in press. https://doi.org/10.1177/1073191118786576.
Schulte EM, Gearhardt AN. Associations of food addiction in a sample recruited to be nationally representative of the United States. Eur Eat Disord Rev. 2018;26:112–9. https://doi.org/10.1002/erv.2575.
Nunes-Neto PR, Köhler CA, Schuch FB, Quevedo J, Solmi M, Murru A, et al. Psychometric properties of the modified Yale Food Addiction Scale 2.0 in a large Brazilian sample. Rev Bras Psiquiatr. 2018;40:444–8. https://doi.org/10.1590/1516-4446-2017-2432.
Nunes-Neto PR, Köhler CA, Schuch FB, Solmi M, Quevedo J, Maes M, et al. Food addiction: prevalence, psychopathological correlates and associations with quality of life in a large sample. J Psychiatr Res. 2018;96:145–52. https://doi.org/10.1016/j.jpsychires.2017.10.003.
Imperatori C, Fabbricatore M, Lester D, Manzoni GM, Castelnuovo G, Raimondi G, et al. Psychometric properties of the modified Yale Food Addiction Scale version 2.0 in an Italian non-clinical sample. Eat Weight Disord. 2019;24:37–45. https://doi.org/10.1007/s40519-018-0607-x.
Schiestl ET, Gearhardt AN. Preliminary validation of the Yale Food Addiction Scale for children 2.0: a dimensional approach to scoring. Eur Eat Disord Rev. 2018;26:605–17. https://doi.org/10.1002/erv.2648.
de Vries S-K, Meule A. Food addiction and bulimia nervosa: new data based on the Yale Food Addiction Scale 2.0. Eur Eat Disord Rev. 2016;24:518–22. https://doi.org/10.1002/erv.2470.
Carlson L, Steward T, Agüera Z, Mestre-Bach G, Magaña P, Granero R, et al. Associations of food addiction and nonsuicidal self-injury among women with an eating disorder: a common strategy for regulating emotions? Eur Eat Disord Rev. 2018;26:629–37. https://doi.org/10.1002/erv.2646.
Aguirre T, Bowman R, Kreman R, Holloway J, LaTowsky J, Stricker M, et al. Pre-intervention characteristics in weight loss participants scoring positive and negative for food addiction. Clin Nutr Metab. 2018;1(1):1–3. https://doi.org/10.15761/CNM.1000103.
Burrows T, Skinner J, McKenna R, Rollo M. Food addiction, binge eating disorder, and obesity: is there a relationship? Behav Sci. 2017;7(54):1–10. https://doi.org/10.3390/bs7030054.
• Guerrero Pérez F, Sánchez-González J, Sánchez I, Jiménez-Murcia S, Granero R, Simó-Servat A, et al. Food addiction and preoperative weight loss achievement in patients seeking bariatric surgery. Eur Eat Disord Rev. 2018;26:645–56. https://doi.org/10.1002/erv.2649 This article reports the first prospective study showing that food addiction as measured with the YFAS 2.0 predicts poorer weight loss.
Steward T, Mestre-Bach G, Vintró-Alcaraz C, Lozano-Madrid M, Agüera Z, Fernández-Formoso JA, et al. Food addiction and impaired executive functions in women with obesity. Eur Eat Disord Rev. 2018;26:574–84. https://doi.org/10.1002/erv.2636.
Saab S, Sikavi C, Jimenez M, Viramontes M, Allen R, Challita Y, et al. Clinical food addiction is not associated with development of metabolic complications in liver transplant recipients. J Clin Transl Hepatol. 2017;5:335–42. https://doi.org/10.14218/JCTH.2017.00023.
Hauck C, Weiß A, Schulte EM, Meule A, Ellrott T. Prevalence of ‘food addiction’ as measured with the Yale Food Addiction Scale 2.0 in a representative German sample and its association with sex, age and weight categories. Obes Facts. 2017;10:12–24. https://doi.org/10.1159/000456013.
Hauck C, Weiß A, Ellrott T. Relationship between “food addiction”, restrained eating behavior, mental health status and score of binge eating in a morbidly obese German sample. Adipositas. 2016;10:215–20. https://doi.org/10.1055/s-0037-1617719.
Schulte EM, Sonneville KR, Gearhardt AN. Subjective experiences of highly processed food consumption in individuals with food addiction. Psychol Addict Behav. 2019;33:144–53. https://doi.org/10.1037/adb0000441.
Meule A. Food addiction and body-mass-index: a non-linear relationship. Med Hypotheses. 2012;79:508–11. https://doi.org/10.1016/j.mehy.2012.07.005.
Blume M, Schmidt R, Hilbert A. Executive functioning in obesity, food addiction, and binge-eating disorder. Nutrients. 2018;11(54):1–14. https://doi.org/10.3390/nu11010054.
Meule A, de Zwaan M, Müller A. Attentional and motor impulsivity interactively predict ‘food addiction’ in obese individuals. Compr Psychiatry. 2017;72:83–7. https://doi.org/10.1016/j.comppsych.2016.10.001.
Meule A, Gearhardt AN. Food addiction in the light of DSM-5. Nutrients. 2014;6(9):3653–71. https://doi.org/10.3390/nu6093653.
Meule A. A critical examination of the practical implications derived from the food addiction concept. Curr Obes Rep. 2019;8:11–7. https://doi.org/10.1007/s13679-019-0326-2.
Vainik U, Meule A. Jangle fallacy epidemic in obesity research: a comment on Ruddock et al. (2017). Int J Obes. 2018;42:585–6. https://doi.org/10.1038/ijo.2017.264.
Schulte EM, Grilo CM, Gearhardt AN. Shared and unique mechanisms underlying binge eating disorder and addictive disorders. Clin Psychol Rev. 2016;44:125–39. https://doi.org/10.1016/j.cpr.2016.02.001.
Ahmed SH, Guillem K, Vandaele Y. Sugar addiction: pushing the drug-sugar analogy to the limit. Curr Opin Clin Nutr Metab Care. 2013;16:434–9. https://doi.org/10.1097/MCO.0b013e328361c8b8.
Oginsky MF, Goforth PB, Nobile CW, Lopez-Santiago LF, Ferrario CR. Eating ‘junk-food’ produces rapid and long-lasting increases in NAc CP-AMPA receptors: implications for enhanced cue-induced motivation and food addiction. Neuropsychopharmacology. 2016;41:2977–86. https://doi.org/10.1038/npp.2016.111.
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Appendices
Appendix 1. SPSS syntax for the YFAS 2.0
*Dichotomize all 35 items
Recode YFAS01 (0 = 0) (1 = 0) (2 = 0) (3 = 0) (4 = 0) (5 = 0) (6 = 1) (7 = 1).
Recode YFAS02 (0 = 0) (1 = 0) (2 = 0) (3 = 0) (4 = 0) (5 = 0) (6 = 1) (7 = 1).
Recode YFAS03 (0 = 0) (1 = 0) (2 = 0) (3 = 0) (4 = 1) (5 = 1) (6 = 1) (7 = 1).
Recode YFAS04 (0 = 0) (1 = 0) (2 = 0) (3 = 0) (4 = 0) (5 = 0) (6 = 1) (7 = 1).
Recode YFAS05 (0 = 0) (1 = 0) (2 = 0) (3 = 0) (4 = 0) (5 = 1) (6 = 1) (7 = 1).
Recode YFAS06 (0 = 0) (1 = 0) (2 = 0) (3 = 0) (4 = 0) (5 = 0) (6 = 1) (7 = 1).
Recode YFAS07 (0 = 0) (1 = 0) (2 = 0) (3 = 0) (4 = 0) (5 = 0) (6 = 1) (7 = 1).
Recode YFAS08 (0 = 0) (1 = 0) (2 = 0) (3 = 1) (4 = 1) (5 = 1) (6 = 1) (7 = 1).
Recode YFAS09 (0 = 0) (1 = 0) (2 = 1) (3 = 1) (4 = 1) (5 = 1) (6 = 1) (7 = 1).
Recode YFAS10 (0 = 0) (1 = 0) (2 = 1) (3 = 1) (4 = 1) (5 = 1) (6 = 1) (7 = 1).
Recode YFAS11 (0 = 0) (1 = 0) (2 = 0) (3 = 0) (4 = 1) (5 = 1) (6 = 1) (7 = 1).
Recode YFAS12 (0 = 0) (1 = 0) (2 = 0) (3 = 0) (4 = 0) (5 = 1) (6 = 1) (7 = 1).
Recode YFAS13 (0 = 0) (1 = 0) (2 = 0) (3 = 0) (4 = 1) (5 = 1) (6 = 1) (7 = 1).
Recode YFAS14 (0 = 0) (1 = 0) (2 = 0) (3 = 0) (4 = 1) (5 = 1) (6 = 1) (7 = 1).
Recode YFAS15 (0 = 0) (1 = 0) (2 = 0) (3 = 0) (4 = 0) (5 = 0) (6 = 1) (7 = 1).
Recode YFAS16 (0 = 0) (1 = 0) (2 = 0) (3 = 0) (4 = 0) (5 = 1) (6 = 1) (7 = 1).
Recode YFAS17 (0 = 0) (1 = 0) (2 = 0) (3 = 0) (4 = 0) (5 = 1) (6 = 1) (7 = 1).
Recode YFAS18 (0 = 0) (1 = 0) (2 = 0) (3 = 1) (4 = 1) (5 = 1) (6 = 1) (7 = 1).
Recode YFAS19 (0 = 0) (1 = 0) (2 = 1) (3 = 1) (4 = 1) (5 = 1) (6 = 1) (7 = 1).
Recode YFAS20 (0 = 0) (1 = 0) (2 = 0) (3 = 1) (4 = 1) (5 = 1) (6 = 1) (7 = 1).
Recode YFAS21 (0 = 0) (1 = 0) (2 = 0) (3 = 1) (4 = 1) (5 = 1) (6 = 1) (7 = 1).
Recode YFAS22 (0 = 0) (1 = 0) (2 = 0) (3 = 0) (4 = 1) (5 = 1) (6 = 1) (7 = 1).
Recode YFAS23 (0 = 0) (1 = 0) (2 = 0) (3 = 0) (4 = 0) (5 = 1) (6 = 1) (7 = 1).
Recode YFAS24 (0 = 0) (1 = 0) (2 = 0) (3 = 0) (4 = 0) (5 = 1) (6 = 1) (7 = 1).
Recode YFAS25 (0 = 0) (1 = 0) (2 = 0) (3 = 0) (4 = 0) (5 = 0) (6 = 1) (7 = 1).
Recode YFAS26 (0 = 0) (1 = 0) (2 = 0) (3 = 0) (4 = 0) (5 = 1) (6 = 1) (7 = 1).
Recode YFAS27 (0 = 0) (1 = 0) (2 = 1) (3 = 1) (4 = 1) (5 = 1) (6 = 1) (7 = 1).
Recode YFAS28 (0 = 0) (1 = 0) (2 = 0) (3 = 0) (4 = 1) (5 = 1) (6 = 1) (7 = 1).
Recode YFAS29 (0 = 0) (1 = 0) (2 = 0) (3 = 0) (4 = 1) (5 = 1) (6 = 1) (7 = 1).
Recode YFAS30 (0 = 0) (1 = 0) (2 = 0) (3 = 0) (4 = 0) (5 = 1) (6 = 1) (7 = 1).
Recode YFAS31 (0 = 0) (1 = 0) (2 = 0) (3 = 0) (4 = 0) (5 = 1) (6 = 1) (7 = 1).
Recode YFAS32 (0 = 0) (1 = 0) (2 = 0) (3 = 0) (4 = 0) (5 = 1) (6 = 1) (7 = 1).
Recode YFAS33 (0 = 0) (1 = 0) (2 = 1) (3 = 1) (4 = 1) (5 = 1) (6 = 1) (7 = 1).
Recode YFAS34 (0 = 0) (1 = 0) (2 = 0) (3 = 1) (4 = 1) (5 = 1) (6 = 1) (7 = 1).
Recode YFAS35 (0 = 0) (1 = 0) (2 = 1) (3 = 1) (4 = 1) (5 = 1) (6 = 1) (7 = 1).
Execute.
*Compute sum scores for each symptom and dichotomize.
Compute YFASamount = YFAS01 + YFAS02 + YFAS03.
If (YFASamount> = 1) YFASamount = 1.
Execute.
Compute YFASattempts = YFAS04 + YFAS25 + YFAS31 + YFAS32.
If (YFASattempts> = 1) YFASattempts = 1.
Execute.
Compute YFAStime = YFAS05 + YFAS06 + YFAS07.
If (YFAStime> = 1) YFAStime = 1.
Execute.
Compute YFASactivities = YFAS08 + YFAS10 + YFAS18 + YFAS20.
If (YFASactivities> = 1) YFASactivities = 1.
Execute.
Compute YFASconsequences = YFAS22 + YFAS23.
If (YFASconsequences> = 1) YFASconsequences = 1.
Execute.
Compute YFAStolerance = YFAS24 + YFAS26.
If (YFAStolerance> = 1) YFAStolerance = 1.
Execute.
Compute YFASwithdrawal = YFAS11 + YFAS12 + YFAS13 + YFAS14 + YFAS15.
If (YFASwithdrawal> = 1) YFASwithdrawal = 1.
Execute.
Compute YFASproblems = YFAS09 + YFAS21 + YFAS35.
If (YFASproblems> = 1) YFASproblems = 1.
Execute.
Compute YFASobligations = YFAS19 + YFAS27.
If (YFASobligations> = 1) YFASobligations = 1.
Execute.
Compute YFASsituations = YFAS28 + YFAS33 + YFAS34.
If (YFASsituations> = 1) YFASsituations = 1.
Execute.
Compute YFAScraving = YFAS29 + YFAS30.
If (YFAScraving> = 1) YFAScraving = 1.
Execute.
Compute YFASimpairment = YFAS16 + YFAS17.
If (YFASimpairment> = 1) YFASimpairment = 1.
Execute.
*Compute symptom count
Compute YFASsymptoms = YFASamount + YFASattempts + YFAStime + YFASactivities +
YFASconsequences + YFAStolerance + YFASwithdrawal + YFASproblems + YFASobligations +
YFASsituations + YFAScraving.
Execute.
*Compute diagnostic score separated by severity level
Compute YFASdiagnosis = 0.
If (YFASsymptoms> = 2 & YFASimpairment> = 1) YFASdiagnosis = 1.
If (YFASsymptoms> = 4 & YFASimpairment> = 1) YFASdiagnosis = 2.
If (YFASsymptoms> = 6 & YFASimpairment> = 1) YFASdiagnosis = 3.
Execute.
Value labels YFASdiagnosis 0 “no food addiction” 1 “mild food addiction” 2 “moderate food addiction” 3 “severe food addiction.”
Execute.
*Compute diagnostic score without differentiating between severity levels
Compute YFASdiagnosis_dichotomous = 0.
If (YFASsymptoms> = 2 & YFASimpairment> = 1) YFASdiagnosis = 1.
Execute.
Value labels YFASdiagnosis_dichotomous 0 “no food addiction” 1 “food addiction.”
Execute.
*Make your variables look nicer
Alter type
YFAS01 YFAS02 YFAS03 YFAS04 YFAS05 YFAS06 YFAS07 YFAS08 YFAS09 YFAS10 YFAS11 YFAS12 YFAS13 YFAS14 YFAS15 YFAS16 YFAS17 YFAS18 YFAS19 YFAS20 YFAS21 YFAS22 YFAS23 YFAS24 YFAS25 YFAS26 YFAS27 YFAS28 YFAS29 YFAS30 YFAS31 YFAS32 YFAS33 YFAS34 YFAS35 YFASamount YFASattempts YFAStime YFASactivities YFASconsequences YFAStolerance YFASwithdrawal YFASproblems YFASobligations YFASsituations YFAScraving YFASimpairment YFASsymptoms YFASdiagnosis YFASdiagnosis_dichotomous (F8.0).
Execute.
Appendix 2. SPSS syntax for the mYFAS 2.0
*Dichotomize all 13 items
Recode mYFAS01 (0 = 0) (1 = 0) (2 = 0) (3 = 0) (4 = 1) (5 = 1) (6 = 1) (7 = 1).
Recode mYFAS02 (0 = 0) (1 = 0) (2 = 0) (3 = 0) (4 = 0) (5 = 1) (6 = 1) (7 = 1).
Recode mYFAS03 (0 = 0) (1 = 0) (2 = 1) (3 = 1) (4 = 1) (5 = 1) (6 = 1) (7 = 1).
Recode mYFAS04 (0 = 0) (1 = 0) (2 = 0) (3 = 0) (4 = 1) (5 = 1) (6 = 1) (7 = 1).
Recode mYFAS05 (0 = 0) (1 = 0) (2 = 0) (3 = 0) (4 = 0) (5 = 1) (6 = 1) (7 = 1).
Recode mYFAS06 (0 = 0) (1 = 0) (2 = 0) (3 = 0) (4 = 0) (5 = 1) (6 = 1) (7 = 1).
Recode mYFAS07 (0 = 0) (1 = 0) (2 = 1) (3 = 1) (4 = 1) (5 = 1) (6 = 1) (7 = 1).
Recode mYFAS08 (0 = 0) (1 = 0) (2 = 0) (3 = 0) (4 = 1) (5 = 1) (6 = 1) (7 = 1).
Recode mYFAS09 (0 = 0) (1 = 0) (2 = 0) (3 = 0) (4 = 0) (5 = 1) (6 = 1) (7 = 1).
Recode mYFAS10 (0 = 0) (1 = 0) (2 = 0) (3 = 0) (4 = 1) (5 = 1) (6 = 1) (7 = 1).
Recode mYFAS11 (0 = 0) (1 = 0) (2 = 0) (3 = 0) (4 = 0) (5 = 1) (6 = 1) (7 = 1).
Recode mYFAS12 (0 = 0) (1 = 0) (2 = 1) (3 = 1) (4 = 1) (5 = 1) (6 = 1) (7 = 1).
Recode mYFAS13 (0 = 0) (1 = 0) (2 = 1) (3 = 1) (4 = 1) (5 = 1) (6 = 1) (7 = 1).
Execute.
*Compute sum scores for all symptoms and the distress/impairment criterion
Compute mYFASimpairment = mYFAS05 + mYFAS06.
Execute.
Compute mYFASsymptoms = mYFAS01 + mYFAS02 + mYFAS03 + mYFAS04 + mYFAS07 + mYFAS08 + mYFAS09 + mYFAS10 + mYFAS11 + mYFAS12 + mYFAS13.
Execute.
*Compute diagnostic score separated by severity level
Compute mYFASdiagnosis = 0.
If (mYFASsymptoms> = 2 & mYFASimpairment> = 1) mYFASdiagnosis = 1.
If (mYFASsymptoms> = 4 & mYFASimpairment> = 1) mYFASdiagnosis = 2.
If (mYFASsymptoms> = 6 & mYFASimpairment> = 1) mYFASdiagnosis = 3.
Execute.
Value labels mYFASdiagnosis 0 “no food addiction” 1 “mild food addiction” 2 “moderate food addiction” 3 “severe food addiction.”
Execute.
*Compute diagnostic score without differentiating between severity levels.
Compute mYFASdiagnosis_dichotomous = 0.
If (mYFASsymptoms> = 2 & mYFASimpairment> = 1) mYFASdiagnosis = 1.
Execute.
Value labels mYFASdiagnosis_dichotomous 0 “no food addiction” 1 “food addiction.”
Execute.
*Make your variables look nicer
Alter type
mYFAS01 mYFAS02 mYFAS03 mYFAS04 mYFAS05 mYFAS06 mYFAS07 mYFAS08 mYFAS09 mYFAS10 mYFAS11 mYFAS12 mYFAS13 mYFASimpairment mYFASsymptoms mYFASdiagnosis mYFASdiagnosis_dichotomous (F8.0).
Execute.
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Meule, A., Gearhardt, A.N. Ten Years of the Yale Food Addiction Scale: a Review of Version 2.0. Curr Addict Rep 6, 218–228 (2019). https://doi.org/10.1007/s40429-019-00261-3
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DOI: https://doi.org/10.1007/s40429-019-00261-3