MJ Bond 1 *, AJ McDowell 1 and JY Wilkinson 2

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1 (2001) 25, 900±906 ß 2001 Nature Publishing Group All rights reserved 0307±0565/01 $ PAPER The measurement of dietary restraint, disinhibition and hunger: an examination of the factor structure of the Three Factor Eating Questionnaire (TFEQ) MJ Bond 1 *, AJ McDowell 1 and JY Wilkinson 2 1 Behavioural Sciences and Biostatistics, Department of Psychiatry, School of Medicine, Flinders University, Adelaide, South Australia, Australia; and 2 Applied Sciences, School of Nursing, Flinders University, Adelaide, South Australia, Australia OBJECTIVE: To conduct separate factor analyses of the Three Factor Eating Questionnaire (TFEQ-R, TFEQ-D and TFEQ-H) scales and provide initial evidence of the construct validity of the obtained solutions. DESIGN: A cross-sectional survey with a 12 month retest of a subsample of subjects. SUBJECTS: A total of 553 undergraduate university women with a mean age of 25.0 y. The retest sample comprised 64 subjects with a mean age at retest of 25.7 y. MEASUREMENTS: In addition to the TFEQ, age, body mass index (BMI), satisfaction with current weight, nutrition knowledge and current exercise level were recorded. RESULTS: Three restraint (strategic dieting behaviour, attitude to self-regulation, avoidance of fattening foods), three disinhibition (habitual susceptibility, emotional susceptibility, situational susceptibility) and two hunger constructs (internal locus for hunger, external locus for hunger) were identi ed. Initial evidence of the validity of these constructs was provided. CONCLUSION: The explanation of disordered eating behaviour is likely to be re ned more by speci c constructs, such as those presented, rather than by the more general constructs measured by the original TFEQ-R, TFEQ-D and TFEQ-H scales. Further examination of the factor structures presented is therefore encouraged. (2001) 25, 900 ± 906 Keywords: TFEQ; restraint; disinhibition; hunger; factor analysis; construct validity Introduction Eating behaviour is generally accepted to be the outcome of internalised multidimensional constructs that include behavioural, cognitive and affective components. 1 Restraint theory provides one attempt to synthesise these components. Unusual eating patterns are proposed to develop as a result of the stress associated with chronic self-control, 2 with food intake determined by a balance between the desire to eat and the aspiration to diet. 3 That is, cognitive processes override physiological hunger and satiety cues. While *Correspondence: MJ Bond, Behavioural Sciences and Biostatistics, Department of Psychiatry, School of Medicine, Flinders University, GPO Box 2100, Adelaide, SA 5001, Australia. malcolm.bond@ inders.edu.au Received 5 July 2000; revised 11 September 2000; accepted 5 January 2001 restrained eaters may diet successfully for a time, certain disinhibiting events (eg consumption of forbidden foods, alcohol, negative emotional states) tend to interfere with self-control and result in overeating. 4 Comparisons of alternative operational de nitions of restraint theory 5±7 reveal considerable differences in interpretations of restraint, leading to an inevitable divergence in the philosophy and stated purpose of instruments derived to measure restrained eating. 1,8,9 Therefore it is not surprising that the original Restraint Scale (RS), 5 and the restraint scales included in the Dutch Eating Behaviour Questionnaire (DEBQ-R) 6 and the Three Factor Eating Questionnaire (TFEQ-R) 7 have all received critical evaluations. 10 For example, the validity of the RS has been questioned due to con icting results being reported for the weight uctuation 7,11 ± 15 and concern for dieting subscales. The irrelevance of some items for different target groups (ie general vs clinical samples) has also been raised as a major criticism. 16,17 With

2 regard to the DEBQ-R, debate has arisen regarding whether it is unidimensional, 18 or whether it in fact measures two aspects of restrained eating: intention to diet and actual dieting behaviour. 19 By far the most attention, however, has been given to the TFEQ-R. In particular, there remains doubt about the number and nature of the dimensions embedded in the TFEQ-R. While early analyses determined the TFEQ-R to be unidimensional, 20,21 later studies suggested the need for both a exible control subscale that measures an adaptive strategy not resulting in an eating disorder, and a rigid control subscale that measures a maladaptive dieting strategy likely to be associated with recurrent restraint and disinhibition episodes. 22 ± 24 An alternative two-factor model (cognitive restraint and behavioural restraint) was offered by Allison et al, 19 although this was later rejected on statistical grounds as it was determined that cognitive and behavioural restraint were more probably two poles of a single dimension. 10 Most recently, Ricciardelli and Williams 25 have presented a three-factor model of restraint consisting of emotional= cognitive concern for dieting, behavioural dieting control and calorie knowledge. These three factors all correlated positively with current and past dieting behaviour, although only emotional=cognitive concern was associated with disinhibition. Further, behavioural dieting control was negatively related to body mass index (BMI). It was also noted that emotional=cognitive concern and behavioural dieting control were conceptually similar to constructs identi ed in the restrained drinking literature, suggesting an underlying communality in restrained behaviour. However, only weak positive associations were found between emotional= cognitive concern for dieting and cognitive emotional preoccupation with drinking and cognitive behavioural control of drinking, respectively. The TFEQ-R factor structure reported by Ricciardelli and Williams was derived from a sample obtained from a general population of undergraduate university students. In their evaluation of the various alternate factorial models that have been proposed, Ricciardelli and Williams question whether samples of differing composition should give rise to identical factor structures. 25 That is, body image as a hypothetical construct cannot be assumed to be uniform across different subgroups. 26 For example, there can be no a priori expectation that measures developed for a clinical application will be automatically appropriate to a non-clinical, epidemiological application. 27 In acknowledgment of these comments, the rst objective of the current study was to factor analyse the TFEQ-R. As the available sample was similar to that of Ricciardelli and Williams in terms of culture, age, gender and education, the speci c aim was to determine whether their three-factor model could be replicated. Preliminary data regarding the construct validity of the factor solution obtained in the current study is also presented. It was hypothesised that TFEQ-R dimensions would be differentially associated with cognitive (nutrition knowledge), affective (satisfaction with current weight) and behavioural (current exercise level) variables. Contextual variables (age and BMI) were also examined. Given the considerable interest in the constructs embedded in the TFEQ-R, it is surprising that little attention has been given to the other TFEQ scales. This is despite the observation that the construct validity, and the predictive validity in particular, of all TFEQ scales (restraint, disinhibition and hunger) has yet to be unequivocally demonstrated. 28 There is certainly no evidence on which to base the conclusion that disinhibition (TFEQ-D) and hunger (TFEQ-H) are unidimensional, and yet potential multiple constructs may assist in explicating the manifestation of disinhibition and=or hunger. The second objective of the current study was therefore to examine the factorial structure of the TFEQ-D and TFEQ-H scales. Further, in the event that either of these scales should suggest multiple dimensions, the construct validity of these dimensions will be examined using the variables introduced to test the construct validity of the TFEQ-R factor solution. Methods Subjects and procedure Data for 553 undergraduate university women studying either nursing or physical education at Flinders University (Adelaide, Australia) were obtained from a standing database, to which new students are added each academic year. Data were collected as part of a laboratory practical on anthropometric measurement. The data to be reported were collected over 2 y and, although participation was voluntary, the overall refusal rate was low ( < 5%). The mean age of subjects was 25.0 y (s.d. ˆ 7.1 y). The modal age, however, was 19 y. A subset of nursing students from the rst year of data collection (n ˆ 64) were retested in the second year, at which time their mean age was 25.7 y (s.d. ˆ 7.0 y, mode ˆ 20 y). Measures Three Factor Eating Questionnaire (TFEQ). The TFEQ, 7 also known as the Eating Inventory, 29 incorporates measures of restraint (21 items), disinhibition (16 items), and hunger (14 items). Responses are scored 0 or 1 and summed. Higher scores denote higher levels of restrained eating, disinhibited eating and predisposition to hunger, respectively. Nutrition knowledge. A series of questions designed by Burns, Richman and Caterson 30 were used to test subjects' understanding of basic nutrition concepts. Responses are scored as correct or incorrect, summed and reported as the percentage of correct responses. Other data. Subjects recorded their age, height, current weight, whether they were satis ed with their current weight (`yes'=`no'), and their current exercise level ( ve-point scale: 1 ˆ `none' to 5 ˆ `frequent vigorous exercise'). 901

3 902 Statistical analysis Data analysis was conducted using SPSS for Windows (Release 6.0). 31 Items from the restraint, disinhibition and hunger scales were analysed separately as follows. First, a principle component analysis (PC) was conducted in order to replicate Ricciardelli and Williams. 25 Unfortunately, factor solutions obtained using this procedure either did not converge or did not produce interpretable factors. Therefore, principal axis factoring was conducted to screen for redundant items. Initial communality estimates (squared multiple correlations) were inspected and items with a communality less than 0.10 were omitted under the assumption that they would not load on any factors that might be derived. 32 The remaining items were then analysed using PC followed by varimax rotation. The number of factors to retain for rotation was determined using parallel analysis criteria. 33 This strategy takes account of both the sample size and the number of items being analysed. Again, while this strategy diverges from that used by Ricciardelli and Williams, 25 use of the eigenvalues greater than one rule 34 with the current sample produced more factors than could be realistically interpreted. Finally, items attaining a loading of 0.45 or better on any retained factor were examined to determine their suitability for scale construction (ie, internal reliability) using alpha (a). 35 Results Summaries of the obtained factors and the subscales derived from them, are shown in Table 1. Item numbers in the following descriptions correspond to the original version of the TFEQ. 7 Restraint PAF identi ed item 4 as redundant (communality < 0.10). The PC analysis of the remaining 20 items had a Kaiser ± Meyer ± Olkin measure of sampling adequacy of 0.86, which is very good ( > 0.80). 36 Three factors were retained, accounting for 39.0% of the total variance. The subscales derived Table 1 Scale Summary of scales derived from analyses of TFEQ items Eigenvalue Percentage variance Items > 0.45 Alpha Restraint R 1 : strategic dieting behaviour R 2 : attitude to self-regulation R 3 : avoidance of fattening foods Disinhibition D 1 : habitual susceptibility D 2 : emotional susceptibility D 3 : situational susceptibility Hunger H 1 : internal locus for hunger H 2 : external locus for hunger from these factors were de ned as follows. In all cases higher scores indicate higher levels of restraint. Strategic dieting behaviour comprised items 6, 23, 28 and 48, which are concerned with speci c behaviours that might be used to control weight (eg `deliberately take small helpings', `consciously holding back at meals'). Attitude to self-regulation (of eating) comprised items 10, 21, 30, 32 and 37, which assess subjects' overarching perspective on eating and weight control (eg `life is too short to worry about dieting', `I eat anything I want, anytime I want'). Avoidance of fattening foods consisted of items 33, 42, 43 and 44, which are predominantly behavioural (eg, `How frequently do you avoid stocking up on tempting foods?', `How likely are you to shop for low calorie foods?'). Disinhibition Items 1, 25 and 31 were omitted due to low communalities. The remaining items had a sampling adequacy of Three factors, accounting for 48.5% of the variance, were retained. For all subscales, higher scores indicate higher levels of disinhibition. The rst disinhibition subscale was termed habitual susceptibility (to disinhibition). Including items 11, 36, 45, 49 and 51, it appears to be the core component of disinhibition. The items describe circumstances that may predispose to recurrent disinhibition (eg `I start dieting in the morning, but because of any number of things that happen during the day, by evening I have given up and eat what I want, promising myself to start dieting again tomorrow'). Emotional susceptibility (to disinhibition) consisted only of items 9, 20 and 27. They describe circumstances in which disinhibition is associated with negative affective states (ie `I feel anxious', `I feel blue', `I feel lonely'). Situational susceptibility (to disinhibition) comprised items 2, 7, 13, 15 and 16. These items refer to disinhibition that is initiated by speci c environmental cues (eg `at social occasions', `with someone else who is overeating'). Hunger Item 17 had a communality less than A sampling adequacy of 0.84 was noted for the remaining 13 items, which split into two factors accounting for 37.9% of the variance. For both subscales, higher scores indicate higher levels of hunger. Internal locus for hunger included items 3, 5, 12, 24, 34 and 39. They describe hunger that is interpreted and regulated internally (eg `I am usually so hungry that I eat more than three times a day', `I often feel so hungry that I just have to eat something'). External locus for hunger contained items 8, 19, 22, 26, 41 and 47 that describe hunger triggered by external cues (eg `being with someone who is eating often makes me hungry enough to eat also', `when I see a real delicacy, I often get so hungry that I have to eat it right away').

4 Correlations among TFEQ scales Correlations among the original TFEQ scales and the subscales derived in the current study are presented in Table 2. Moderate positive correlations were noted among the restraint, disinhibition and hunger subscales, respectively. Relatively high correlations were noted between the subscales and their respective parent scale. Only habitual susceptibility (to disinhibition) demonstrated a consistent association with restraint scores. Internal, but not external, locus for hunger was negatively correlated with all restraint scores. All hunger scores were positively correlated with all disinhibition scores. Relationships between the TFEQ and other variables Over half of the sample (n ˆ 313, 56.6%) reported being dissatis ed with their weight. A comparison of this group with women satis ed with their weight produced a consistent pattern of results: those not satis ed reported higher TFEQ scores. Only one subscale (internal locus for hunger) failed to achieve signi cance (t (536) ˆ 1.76, P ˆ 0.079, twotailed). All further analyses (see Table 3) were therefore conducted independently for subjects satis ed with their weight and those not satis ed to explore the possibility that different relationships might be evident for the two subsamples. Age. The relationship between age and satisfaction with current weight approached signi cance (t (551) ˆ 1.91, P ˆ two-tailed). Women dissatis ed with their weight were marginally more likely to be older (M ˆ 25.5, s.d. ˆ 7.3) than those who were satis ed (M ˆ 24.4, s.d. ˆ 6.7). Positive correlations were found between age and TFEQ-R, strategic dieting behaviour and attitude to self-regulation for the women in the satis ed subsample. These results were not re ected in the dissatis ed subsample. Hunger scores were almost universally associated with age regardless of satisfaction with current weight. The total TFEQ-D score was negatively correlated with age for the satis ed subsample. Of most interest was the negative correlation between emotional susceptibility (to disinhibition) and age for the satis ed subsample that was coupled with a positive correlation for the dissatis ed subsample. Body mass index. The mean body mass index (BMI) score for the total sample was 23.1 (s.d. ˆ 3.9), which is within the normal range (20 ± 25). 37 Those satis ed with their current weight had a mean score of 21.0 (s.d. ˆ 2.4; 5.5% overweight or obese), compared with 24.6 (s.d. ˆ 4.1; 40.6% overweight or obese) for those dissatis ed with their current weight (t (545) ˆ 12.00, P <.001). Signi cant positive correlations were noted for the dissatis ed subsample between BMI and 903 Table 2 Intercorrelations among TFEQ scales Scale TFEQ-R R 1 R 2 R 3 TFEQ-D D 1 D 2 D 3 TFEQ-H H 1 TFEQ-R: restraint R 1 : strategic dieting behaviour 0.69*** R 2 : attitude to self-regulation 0.77*** 0.37*** R 3 : avoidance of fattening foods 0.73*** 0.32*** 0.46*** TFEQ-D: disinhibition 0.14*** Ð 0.13** 0.11* D 1 : habitual susceptibility 0.22*** Ð 0.20*** 0.15*** 0.80*** D 2 : emotional susceptibility Ð Ð Ð Ð 0.69*** 0.40*** D 3 : situational susceptibility Ð * Ð Ð 0.81*** 0.50*** 0.37*** TFEQ-H: hunger ** ** ** Ð 0.55*** 0.37*** 0.38*** 0.57*** H 1 : internal locus for hunger *** ** *** * 0.41*** 0.25*** 0.29*** 0.41*** 0.87*** H 2 : external locus for hunger Ð * Ð Ð 0.57*** 0.41*** 0.36*** 0.59*** 0.84*** 0.53*** *P < 0.05; ** P < 0.01; *** P < 0.001; Ð not signi cant. Table 3 Relationships between TFEQ scales and satisfaction with current weight, age, BMI, current exercise level and nutrition knowledge Variable=sample TFEQ-R R 1 R 2 R 3 TFEQ-D D 1 D 2 D 3 TFEQ-H H 1 H 2 Satis ed with current weight? 6.55*** 2.38* 7.93*** 3.83*** 9.44*** 10.20*** 6.23*** 4.44*** 3.26*** Ð 4.06*** Age=satis ed 0.24*** 0.21*** 0.19** Ð ** Ð * Ð *** *** *** Age=dissatis ed Ð Ð Ð Ð Ð Ð 0.15** Ð * Ð ** BMI=satis ed 0.18** 0.19** 0.15* Ð Ð Ð Ð Ð Ð Ð Ð BMI=dissatis ed Ð ** Ð Ð 0.31*** 0.26*** 0.20*** 0.20*** Ð Ð Ð Exercise level=satis ed Ð Ð Ð 0.13* Ð Ð Ð Ð Ð Ð Ð Exercise level=dissatis ed 0.27*** 0.20*** 0.19*** 0.11* * Ð * Ð Ð Ð Ð Nutrition knowledge=satis ed 0.27*** 0.13* Ð 0.29*** Ð Ð Ð Ð * * * Nutrition knowledge=dissatis ed Ð Ð Ð Ð Ð Ð Ð Ð Ð Ð Ð *P < 0.05; ** P < 0.01; *** P < 0.001; Ð not signi cant.

5 904 all disinhibition scores. TFEQ-R, strategic dieting behaviour and attitude to self-regulation were positively correlated with BMI for the satis ed subsample. However, BMI and strategic dieting behaviour were negatively correlated for the dissatis ed subsample. Current exercise level. The relationship between current exercise level and satisfaction with current weight approached signi cance (t (549) ˆ 1.84, P ˆ 0.067), with those dissatis ed with their weight (M ˆ 2.7, s.d. ˆ 1.0) marginally less likely to exercise than those who were satis ed (M ˆ 2.9, s.d. ˆ 1.0). A single signi cant correlation was identi ed for the satis ed subsample: those exercising more reported higher scores for avoidance of fattening foods. In contrast, all restraint scores were positively correlated with exercise level for the dissatis ed subsample. The dissatis ed group also recorded negative correlations for disinhibition and emotional susceptibility (to disinhibition). Nutrition knowledge. The mean nutrition knowledge score for the women satis ed with their weight was 59.7% (s.d. ˆ 8.3%); those dissatis ed with their weight scored 60.2% (s.d. ˆ 8.4%). These means were not signi cantly different (t (529) ˆ 0.68). Despite this, signi cant correlations between nutrition knowledge and TFEQ scores were only noted for the satis ed subsample. There were positive associations with TFEQ-R, strategic dieting behaviour and avoidance of fattening foods, and negative associations with all hunger scores. Analysis of test ± retest data Table 4 presents the results of the analyses conducted for the 64 subjects who completed the TFEQ for a second time after an interval of 12 months. Note that both correlations and repeated measures t-tests were conducted as it is possible to achieve a high correlation in the presence of signi cantly different means. Therefore, reliability is indicated by a high and signi cant correlation coupled with a non-signi cant mean difference. 38 Table 4 Results of test-retest reliability analysis Scale r t TFEQ-R: restraint R 1 : strategic dieting behaviour R 2 : attitude to self-regulation ** R 3 : avoidance of fattening foods TFEQ-D: disinhibition D 1 : habitual susceptibility * D 2 : emotional susceptibility D 3 : situational susceptibility TFEQ-H: hunger H 1 : Internal locus for hunger H 2 : external locus for hunger * All correlations signi cant at P < 0.001; ** P < 0.01; * P < All correlations were high enough ( 0.70) 38 for the measured behaviours to be considered stable traits with the exception of avoidance of fattening foods. However, three signi cant mean differences were noted. Attitude to selfregulation was signi cantly lower at retest, while habitual susceptibility (to disinhibition) and external locus for hunger were signi cantly higher. These results may suggest that at least some aspects of eating behaviour are not stable traits. For example, behaviours may change with uctuations in BMI. To test this hypothesis, changes in BMI from test to retest were correlated with test ± retest change scores for all TFEQ scales. A signi cant result was noted only for external locus for hunger (r ˆ 0.29, P < 0.05), indicating that decreases in BMI were associated with decreases in external locus for hunger. Discussion The rst objective was to attempt to replicate the TFEQ-R factors recently reported by Ricciardelli and Williams. 25 While the samples used in the two studies shared many similarities, the statistical techniques chosen for the current study were slightly different. We were forced to omit items that were determined statistically not to be central to the restraint construct for our subjects. We also had to use a relatively conservative strategy for the retention of nonrandom factors 33 which no doubt reduced the overall percentage of variance accounted for in our analysis (only 39%). Further, relatively few items achieved a factor loading appropriate for their consideration in the derived subscales. Nevertheless, a three-factor solution was obtained that was recognisably similar to that of Ricciardelli and Williams. 25 The greatest equivalence was between strategic dieting behaviour and the behavioural dieting control factor of Ricciardelli and Williams. These factors, measuring a general behavioural construct, are virtually identical. The addition of the term `strategic', however, was chosen to re ect the purposeful choices that restrained eaters make about food intake. The items comprising avoidance of fattening foods are a subset of calorie knowledge. However, this subset measures a behavioural construct that targets a speci c method of weight control, rather than being indicative of the more cognitive construct assessed by the complete set of calorie knowledge items included in the Ricciardelli and Williams factor. Finally, there was little similarity between attitude to self-regulation (of eating) and emotional=cognitive concern for dieting in terms of shared items. However, in both studies the construct measured by these factors represents the core cognitive component of the restraint scale. The naming of our factor acknowledges the importance of self-regulation, de ned as conscious, internally directed behaviour for the promotion of health and homeostasis. 39 There was also some similarity between the proposed three-factor model and previously suggested two-factor models. For example, it is clear that there are both cognitive and behavioural issues inherent in restraint, as suggested by

6 Allison et al. 19 Our analysis revealed both a general and a speci c behavioural dimension, along with a key cognitive dimension. Further, there is some overlap between our factors and the exible and rigid control concepts proposed by Westenhoefer. 22 Strategic dieting behaviour shares items with the exible control subscale, while attitude to self-regulation and avoidance of fattening foods share elements with the rigid control subscale. The pattern of correlations obtained between our restraint factors and TFEQ-D also support this observation. Our second objective was to examine factor solutions for the TFEQ-D and TFEQ-H scales. The disinhibition items split logically into three factors, each of which described a set of situations under which people may be susceptible to disinhibited eating. Indeed, we chose to label these factors using the term susceptibility after the comment of Westenhoefer et al 23 that the TFEQ-D itself would be better named `susceptibility to eating problems'. The core component of disinhibition appears to be habitual susceptibility, implying as it does a cyclical behaviour pattern involving restraint and disinhibition. The TFEQ-H was found to include both internal and external cues for hunger, which we chose to label after Rotter's locus of control theory that emphasises the importance of perceived cues for reinforcement. 40 A useful distinction between internal and external reinforcement in studies of weight control has also been described by other authors. 41 One test of whether the constructs proposed by our analyses usefully expand the understanding of restraint, disinhibition and hunger is the degree to which they provide discriminating results, both among themselves and with other measures. Correlations between TFEQ scores demonstrated little discriminability among disinhibition and hunger scores, although only internal locus for hunger was consistently associated with restraint. Further, there were few signi cant associations between disinhibition and restraint, implying that only certain aspects of disinhibition suggest disordered eating. Relationships between TFEQ scores and the measures included to determine construct validity demonstrated little differentiation until the sample was divided according to satisfaction with current weight, after which considerable variability emerged. In general, among subjects who were satis ed with their weight, age and nutrition knowledge were signi cantly associated with our proposed TFEQ constructs. In contrast, among the dissatis ed sample, BMI and exercise level were more likely to demonstrate signi cant associations with the proposed constructs. It must be acknowledged that the results we have presented, and the above interpretations, are based purely on correlational evidence and as such no comment regarding causation can be made. In addition, there were relatively few signi cant relationships noted, and none of any great size (ie > 0.30). One explanation for these observations is the small range of values possible for the subscales we have proposed. Due to the low number of items loading on each factor, maximum subscale values ranged from only 3 for emotional susceptibility (to disinhibition) to 6 for both hunger subscales. Such truncated ranges are known to produce lower bound estimates of linear relationships. 42 An alternative explanation is that the relationships between the TFEQ subscales and age, BMI, exercise level and nutrition knowledge are nonlinear. This is a suggestion not made by previous investigations in this eld yet evidence from locus of control 39 and self-regulation research, 40 eg, would certainly lend support to such a proposition. Relatively larger coef cients were obtained when TFEQ subscales were correlated among themselves (eg the full sample coef cients presented in Table 2 and the test ± retest coef cients in Table 4). Indeed, as previously noted, the test ± retest correlations were all impressively large, being suggestive of considerable stability over the 12-month interval. These results (in conjunction with the repeated measures t-tests) generally support the notion that the TFEQ subscales are stable traits rather than state-speci c appraisals. However, it is acknowledged that further evidence is required before such a conclusion can be made. In conclusion, the factor structures presented for the TFEQ-R, TFEQ-D and TFEQ-H offer some promise of a more complex picture of eating behaviour than that provided by the original scales. In fact, the modest number of items loading on each factor, and the modest amount of variance accounted for in each factor analysis (particularly for restraint and hunger items), are suggestive of more, not fewer, factors. These observations further reinforce the need to clearly distinguish constructs relevant to nonclinical populations from those relevant to clinical samples. While our data are suggestive rather than conclusive, the further examination of factor structures such as ours is encouraged by the comment that general factors are no longer useful in forwarding knowledge in the area of body image and eating disorders. 43 Rather, it has been argued that domain-speci c factors, measuring constructs at a more precise level, are now more likely to assist in explaining these very complex issues. 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