Literature DB >> 25356313

On the differentiation between trait and state food craving: Half-year retest-reliability of the Food Cravings Questionnaire-Trait-reduced (FCQ-T-r) and the Food Cravings Questionnaire-State (FCQ-S).

Adrian Meule1, Carina Beck Teran2, Jasmin Berker2, Tilman Gründel2, Martina Mayerhofer2, Petra Platte2.   

Abstract

BACKGROUND: Food craving refers to an intense desire to consume a specific food. The Food Cravings Questionnaires (FCQs) assess food cravings on a trait and a state level.
METHOD: The current study examined half-year retest-reliability of the Food Cravings Questionnaire-Trait-reduced (FCQ-T-r) and the Food Cravings Questionnaire-State (FCQ-S) and reports associations with current food deprivation in female students.
RESULTS: The FCQ-T-r had higher retest-reliability (r tt = .74) than the FCQ-S (r tt = .39). Although trait food craving was correlated with state food craving, it was unaffected by current food deprivation.
CONCLUSIONS: Although state and trait food craving are interdependent, the FCQs are able to differentiate between the two. As scores of the FCQ-T-r represent a stable trait, but are also sensitive to changes in eating behavior, they may be useful for the investigation of the course of eating disorders and obesity.

Entities:  

Keywords:  Food Cravings Questionnaires; Food craving; Retest-reliability; University students

Year:  2014        PMID: 25356313      PMCID: PMC4212121          DOI: 10.1186/s40337-014-0025-z

Source DB:  PubMed          Journal:  J Eat Disord        ISSN: 2050-2974


Food craving refers to an intense desire or urge to consume a specific food, of which the most often craved one is chocolate in western societies [1]. Food cravings are common and, thus, experienced by most people from time to time [1]. However, more frequent and more intense food cravings are associated with eating disorders such as bulimia nervosa or binge eating disorder and obesity [2,3]. The Food Cravings Questionnaires (FCQs) assess habitual experiences of food craving and current food craving [4]. The Food Cravings Questionnaire-Trait (FCQ-T; sample items: “If I give in to a food craving, all control is lost.”, “If I am craving something, thoughts of eating it consume me.”) contains 39 items with response categories ranging from never/not applicable to always while the Food Cravings Questionnaire-State (FCQ-S; sample items: “I have an intense desire to eat [one or more specific foods].”, “I know I’m going to keep on thinking about [one or more specific foods] until I actually have it.”) contains 15 items with response categories ranging from strongly disagree to strongly agree. Most recently, a reduced version of the FCQ-T (FCQ-T-r, 15 items) has been introduced [5]. Scores of the FCQ-T/FCQ-T-r and the FCQ-S are weakly, positively correlated with each other [5]. Moreover, scores of the FCQ-T/FCQ-T-r predict food-cue elicited craving as indicated by increases in FCQ-S scores [5-7]. Nevertheless, previous findings indicate that the FCQs indeed differentially assess trait and state food craving. For example, scores of the FCQ-S are affected by momentary physiological and psychological states and environmental circumstances such as length of food deprivation, current affect, food intake, and food-cue exposure [4,8-12]. Scores of the FCQ-T are largely unaffected by such factors (ibid.). Moreover, three-week retest-reliability for the FCQ-T is high (rtt > .80) while it is, expectedly, lower for the FCQ-S (rtt < .60) [4,9,11]. Yet, the FCQ-T is also sensitive to changes in eating behavior as scores were decreased after bariatric surgery and behavioral weight-loss treatment in obese individuals [13,14] or after a biofeedback-based intervention in high trait food cravers [15]. To examine if habitual experiences of food craving actually represent a stable trait, half-year retest-reliability of the FCQ-T-r and the FCQ-S was evaluated in a student sample. Relationships between the two measures and associations with current food deprivation were also explored as a further indication for the differentiation between state and trait food craving.

Method

This study adhered to the guidelines outlined in the Declaration of Helsinki as revised in 2008. Female university freshmen (N = 133; age M = 20.08 years, SD = 2.68; body mass index M = 22.01 kg/m2, SD = 2.66) completed paper-and-pencil versions of the FCQ-T-r and FCQ-S among other measures in the laboratory at the beginning of the first semester (first measurement, M1). One hundred and twenty-one participants completed those measures again at the beginning of the second semester (second measurement, M2). Mean time between measurements was M = 170.65 days (SD = 9.00, Range: 143–183). Mean food deprivation (time since the last meal) was MM1 = 2.40 (SD = 2.28, Range: 0–15) and MM2 = 3.11 (SD = 3.78, Range: 0.25-21.50) hours. Mean FCQ-T-r scores were MM1 = 38.77 (SD = 10.12, Range: 20–62) and MM2 = 36.70 (SD = 11.02, Range: 19–79). Mean FCQ-S scores were MM1 = 34.64 (SD = 9.82, Range: 15–59) and MM2 = 31.98 (SD = 11.48, Range: 15–55). Internal consistency of the FCQ-T-r was αM1 = .90 and αM2 = .93. Internal consistency of the FCQ-S was αM1 = .89 and αM2 = .94. Pearson correlations were computed between scores at the first and second measurement for the FCQ-T-r, the FCQ-S, and food deprivation. Furthermore, correlations between FCQ-T-r scores, FCQ-S scores, and food deprivation were calculated for each measurement separately. Finally, we explored if controlling for BMI (using partial correlations) influenced any of these correlations.

Results

Retest-reliability of the FCQ-T-r was rtt = .74 (p < .001; Figure 1) and was rtt = .39 (p < .001) for the FCQ-S. Scores of the FCQ-T-r and FCQ-S were weakly correlated with each other (rM1 = .18, p = .04; rM2 = .33, p < .001). Food deprivation of the two measurement was weakly correlated (r = .16, p = .08). Scores of the FCQ-T-r were unrelated to current food deprivation (rM1 = −.05, ns; rM2 = −.01, ns). Scores of the FCQ-S were weakly correlated with current food deprivation (rM1 = .28, p = .001; rM2 = .32, p < .001). Controlling for BMI did not change any of these correlations.
Figure 1

Scatterplot showing the correlation between scores on the (FCQ-T-r) between the two measurements (   = .74).

Scatterplot showing the correlation between scores on the (FCQ-T-r) between the two measurements (   = .74).

Discussion

The current results suggest that the FCQ-T-r has high retest-reliability and, thus, does indeed assess experiences of food craving as a stable trait. Although the correlation was somewhat lower than three-week retest-reliability reported for the FCQ-T [4,9,11], we would argue that this nonetheless represents a high retest-reliability, considering the long time span of almost half a year. FCQ-S scores on the two measurements were also positively correlated with each other, but this correlation was substantially lower than that of the FCQ-T-r. Current food deprivation was positively correlated with FCQ-S, but not FCQ-T-r scores, suggesting that FCQ-T-r scores are largely unaffected by such state-dependent variables. Interpretation of findings is limited by the fact that all participants were female university students, who were predominantly normal-weight. Thus, future studies need to examine if similar results can be obtained in other samples, for example in men or in clinical samples. Moreover, we did not instruct participants to keep a similar food deprivation period for both measurements or assess current affect, which has been shown to be related to FCQ-S scores [11]. Thus, it may be that the FCQ-S indeed has high retest-reliability if such conditions are kept constant. Nevertheless, the current results support that trait and state food cravings are interdependent, but that the FCQs indeed differentially assess both constructs. The FCQ-T-r could be a useful tool for the investigation of the course of eating disorders and obesity as it measures a stable trait on the one hand, but is sensitive to treatment changes on the other hand. Thus, it could be used to monitor treatment changes or may even be able to predict treatment success or, at the end of treatment, to predict relapse in patients with eating disorders and obesity.
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