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Self-directed behaviors differentially explain associations between emotion dysregulation and eating disorder psychopathology in patients with or without objective binge-eating

Abstract

Background

Emotion dysregulation and negative self-directed behaviors are key characteristics of eating disorders (EDs), but their interaction in relation to ED psychopathology is insufficiently explored, and empirically robust and clinically relevant models are needed.

Methods

This study examined whether the association between emotion dysregulation and ED psychopathology was mediated by different negative self-directed behaviors in 999 ED patients divided into two sub-samples based on absence or presence of objective binge-eating episodes (OBE). Several simple and extended mediation models were examined using the Difficulties in Emotion Regulation Scale (DERS) as independent variable, the Structural Analysis of Social Behavior (SASB) as mediator, and the Eating Disorder Examination Questionnaire (EDE-Q) as dependent variable.

Results

An associational pathway was found where higher emotion dysregulation was associated with more negative self-directed behaviors, which in turn was associated with higher ED psychopathology. Self-directed behaviors of importance differed between patient groups. In participants without OBE, lower self-love and higher self-attack were influential, whereas in participants with OBE, lower self-affirmation and higher self-blame were influential.

Conclusions

Self-directed behaviors may help to explain the association between emotion dysregulation and ED psychopathology. Our findings have both theoretical and clinical implications that are pathology-specific. Addressing specific self-directed behaviors could be an important way of helping patients deal with their emotions in relation to ED psychopathology.

Plain English summary

Eating disorders are complex serious psychiatric conditions but the understanding of how they develop and are maintained is unclear, while treatment outcomes are mixed. This study examined difficulties understanding and managing emotions (emotion dysregulation) and the habitual way an individual internally treats and regulates him−/herself (self-directed behaviors), in relation to eating disorder psychopathology among 999 patients with eating disorders. We found that higher emotion dysregulation, such as difficulties focusing on and understanding emotions, was associated with negatively attuned self-directed behaviors, for instance with harsh self-criticism, which in turn was associated with greater body, shape and weight concerns. We found that in participants who did not have objective binge-eating episodes, higher emotion dysregulation seemed to be associated with less self-love and more self-attack in relation to eating disorder symptoms. In participants who did have objective binge-eating, higher emotion dysregulation was associated with less self-affirmation and more self-blame. Our results suggest that negative types of self-directed behaviors may maintain problematic patterns of emotional difficulties and eating disorder symptoms and that this needs to be addressed in treatment.

Introduction

Eating disorders (EDs) are complex psychiatric conditions associated with high rates of psychiatric and medical comorbidity, life-disruptions, and significant suffering [1], but the etiology of EDs is unclear [2] and treatment outcomes are mixed [3]. In order to improve our understanding and treatment of EDs we need to identify empirically robust and clinically relevant models of etiology and maintenance. Previous research suggests that EDs are characterized by emotion dysregulation and negative self-directed behaviors [4, 5]. Emotion dysregulation refers to difficulties understanding and managing emotions [6], while self-directed behaviors refers to dimensions of self-control vs. spontaneity and self-affiliation vs. self-attack [7]. Independently, these factors impact symptoms, but their interaction in relation to ED psychopathology remains insufficiently explored. Recently, Monell, Högdahl, ForsĂ©n Mantilla, and BirgegĂ„rd [8] suggested that the effect of emotion dysregulation on ED psychopathology in female students was mediated through more negative self-directed behaviors. Increased emotion dysregulation (e.g., losing control over one’s behavior when in distress) was associated with negative self-directed behavior (e.g., harsh self-criticism), which in turn was associated with greater ED psychopathology. The present study aims to replicate and extend these findings in a large clinical ED sample, hoping to identify potential intervention targets that closely reflect patients’ experience of emotion dysregulation.

Dimensions of emotion dysregulation and associations with ED pathology

Emotion dysregulation is associated with ED pathology [9, 10] and ED outcome [11]. Further, behavioral ED symptoms may represent dysfunctional emotion regulation strategies in response to negative affect [12]. However, ‘emotion dysregulation’ as a concept is imprecise as it has been given different meanings and has been measured using a variety of instruments. Converging on a common model, several recent ED studies have employed the multidimensional model of Gratz and Roemer and the Difficulties in Emotion Regulation Scale (DERS) [6]. This model was developed to capture the following four dimensions.

Reduced emotional awareness and clarity describes an inability (or unwillingness) to focus on emotional signals and an insufficient understanding of them, resembling alexithymia (i.e., difficulties identifying and describing emotions) [13]. Alexithymic traits are considered key characteristics of restrictive ED pathology [14]. However, research indicates its relevance across the entire ED diagnostic spectrum [15], and difficulties in emotional awareness and clarity may distinguish ED patients generally from controls [9]. Non-acceptance of emotional distress describes tendencies to respond with negative secondary emotions (e.g., self-directed anger, shame) towards one’s own distress. It has been argued that non-acceptance and avoidance of emotions is a key maintaining factor in anorexia nervosa (AN) [16]. Non-acceptance is associated with both overall ED psychopathology [9] and restraint [17]. Difficulties maintaining impulse control and goal-directed behaviors when upset refers to difficulties controlling, or fear of losing control, over one’s reactions and behavior when in distress. This resembles negative urgency (i.e., engaging in rash and impulsive behavior when distressed), particularly relevant for patients with binge-eating [5, 18]. Perceived lack of emotion regulation strategies when upset describes a sense of emotional helplessness and a tendency to surrender to negative emotions when upset. It has the strongest unique association with ED psychopathology in both mixed clinical EDs and controls [9, 19]; improvement in this dimension has been associated with better treatment outcome for binge-eating patients [20].

In summary, lower emotional awareness and clarity may differentiate patients from controls, difficulties maintaining impulse control and goal-directed behaviors when upset may characterize binge-eating pathology, and higher levels of perceived emotional helplessness are associated with higher ED psychopathology regardless of diagnostic status.

Self-directed behaviors and associations with ED pathology

Low self-esteem is characteristic of EDs [21], and patients’ sense of self-worth is often determined by body weight and shape [22]. However, while the sense of self is a complex phenomenon, most self-related concepts and measures capture unidimensional aspects of self-evaluation and self-directed feelings (i.e., approve-disapprove, like-dislike etc.). In interpersonal theory, the self is conceptualized in terms of the habitual way an individual internally relates to him−/herself [7], and thus it refers to self-directed behaviors. The Structural Analysis of Social Behavior (SASB) model and its accompanying measure [23] organizes self-directed behaviors in a circumplex (see Fig. 1). The horizontal Affiliation axis captures affective valence, while the vertical Autonomy axis captures self-regulation; combinations of these axes form different types of self-directed behaviors, grouped into the following eight clusters.

Fig. 1
figure 1

Structural Analysis of Social Behavior Intrex model Cluster version. From: Benjamin LS. Interpersonal Diagnosis and Treatment of Personality Disorders, 2nd ed. New York: The Guilford Press, 1996

Self-emancipation describes spontaneous/free self-regulation as opposed to strict self-control. Control and compulsivity are central themes in EDs, particularly AN [24]. ED symptoms have been described as strategies to manage perceived lack of self-control [25], while actual loss of control (over eating) is central in binge-eating pathology. In AN, self-emancipation and spontaneity seems decreased [26, 27], while self-control is higher relative to other EDs [26]. Higher self-control in AN is associated with worse 3-year outcome [28] and increased 12-month suicidal ideation [29]. Self-affirmation describes a friendly, accepting, and curious stance toward the self. Self-affirmation, often strikingly limited in EDs, has received increased attention in novel treatments [30]. Self-blame instead describes harsh and hostile self-regulation. Self-blame strongly resembles self-criticism and maladaptive perfectionism, both common ED traits [21]. Low self-affirmation and high self-blame are associated with higher ED psychopathology in clinical, high-risk and normal samples [4]. Self-love and self-attack are most similar to self-esteem. Lower self-love is associated with higher ED psychopathology [4]. Higher initial self-hate predicts worse outcome in various EDs [28, 31], while higher initial self-love predicts better outcomes in all EDs [31]. Self-protection describes active engagement in activities perceived as beneficial for the self and protection of self-interests, while self-neglect describes negative autonomy, such as ignoring one’s own needs. Although self-protection can be considered a positive behavior, it predicts negative outcome in AN [28], possibly because some patients may perceive their symptoms as the best way of taking care of their needs. More intuitively, higher self-neglect predicts worse outcome in AN [28, 31].

In summary, lower self-affirmation and higher self-blame have strong concurrent associations with higher ED psychopathology in various samples, while lower self-love and higher self-attack predict outcome in several EDs. The associations with self-protection and self-control is distinctive of AN.

Pathways whereby emotion dysregulation and self-directed behaviors may influence ED psychopathology

Several ED etiology and maintenance models include both emotion and self-related aspects [32]. These include for instance the transdiagnostic maintenance model of EDs [21], i.e., ‘mood intolerance’, ‘clinical perfectionism’, and ‘core low self-esteem’; the cognitive-interpersonal maintenance model of AN [33], i.e., alexithymia, avoidant emotion processing, and compulsivity; and the model underlying integrative cognitive-affective therapy for bulimia nervosa (BN) [34], i.e., emotion dysregulation, self-directed behaviors, and self-discrepancy. An additional model highlights shame, self-criticism, and lack of self-compassion [35].

Evidence for how various emotion dysregulation dimensions and specific self-directed behaviors may influence ED psychopathology is however lacking. Existing models use different terms, study isolated aspects of emotion regulation (e.g., alexithymia) and self-related cognition/behavior (e.g., self-esteem), and few examine a wide range of such constructs simultaneously. Due to different focus on risk versus maintenance factors, they are also difficult to compare and evaluate in terms of potential association chains; one factor being associated with another that in turn might be associated with symptom expression. Mediation models can help delineate such association pathways by which emotion dysregulation and self-directed behaviors could be associated with ED psychopathology. Since the DERS and SASB models encompass important concepts in several theoretical models, their combination may provide an opportunity to integrate existing models, disentangle association pathways, and increase model specificity.

To our knowledge, only our own previous study has concurrently used the DERS and the SASB in relation to ED pathology [8]. Here, we found that higher emotion dysregulation, mediated by negative self-directed behaviors, was associated with greater ED psychopathology in female students [8]. However, this study neither examined ED patients nor specified different emotion dysregulation dimensions or types of self-directed behaviors. Clinically, it may be useful to know if different emotion dysregulation dimensions are associated with ED psychopathology through distinctive types of self-directed behaviors in ED patients. For instance, perceptions such as “my emotions are shameful and I hate to have them” might be associated with “I’m useless and I need more discipline”. This, in turn, may fuel attitudes such as “I have to control my ugly body”. Empirically disentangling potential significant association chains between emotion dysregulation, self-directed behaviors, and ED psychopathology could help therapists approach clinical phenomena accurately while remaining close to patients’ subjective experiences.

Aims

Given the diagnostic diversity of eating EDs it is important to study mediational pathways in groups of patients with or without particular core symptoms. However, diagnostic migration is common within EDs [36], so specific ED diagnoses may have low clinical and predictive validity [37]. Therefore, diagnosis-specific models may be overly narrow and of limited clincal utility. Even so, there appears to be some differences in emotion and self-related processes between primarily restricting patients and those with loss of control binge-eating, possibly reflecting underlying differences in impulsivity [38]. Such differences may entail differential risk for specific core symptoms; impulse control difficulties and negative urgency seemingly more associated with binge-eating [39,40,41], whereas over-controlled regulation and compulsivity instead seem more associated with pathological restrictive eating without binge-eating [24, 42]. The current study will therefore group EDs into broader categories depending on presence or absence of loss of control binge-eating (defined as objective binge-eating episodes; OBE) in order to capture a wider and more ecologically valid clinical picture.

We tested whether the association between emotion dysregulation and ED psychopathology is mediated by negative self-directed behaviors in ED patients with or without OBE, expecting to replicate the main finding by Monell et al. [8] in both groups. We also extend our previous work by exploring whether particular emotion dysregulation dimensions are mediated by distinct self-directed behaviors. Here, we had no specific hypotheses regarding which self-directed behaviors would be mediators in which model, or if there would be differences between groups.

Method

Participants

The sample was drawn from a clinical database covering specialized ED units in Sweden (the Stepwise database) [43]. Stepwise inclusion criteria are self- or medical referral to a treatment unit, an ED according to the Diagnostic and Statistical Manual of Mental Disorders 4th version (DSM-IV) [22], and intent to treat from the unit. Stepwise includes patients with the full range of DSM-IV EDs of all ages entering treatment since 2005. Stepwise initial assessment, performed by trained ED professionals by the patients 3rd visit to the unit, includes semi-structured interviews, clinical ratings and self-ratings (both mandatory and optional, all in Swedish), and takes around 45 min. DSM-IV ED diagnoses are based on the Structured Eating Disorder Interview (SEDI) [44] with good validity. The present sample consisted of 999 female patients aged 16–72 years (M = 24.8, SD = 8.4) with AN restrictive subtype (AN-R; n = 172), AN binge/purge subtype (AN-BP; n = 64), BN (n = 350), binge eating disorder (BED; n = 40), and other specified feeding and EDs (OSFED; n = 373).

Data were extracted on October 30th 2016; extraction procedure, exclusions, and rationale for re-categorization from DSM-IV into DSM 5th version (DSM-5) diagnoses [45] are reported in detail elsewhere [9]. The Eating Disorder Examination Questionnaire (EDE-Q) and the SASB are mandatory in the Stepwise assessment while the DERS was included in Stepwise in 2014 as an optional instrument at the individual patient level (i.e., clinicians decided whether to include DERS or not). DERS was administered to 37% of patients during this study time frame. Patient characteristics (e.g., ED pathology, anxiety, depression, age, ED-duration) did not seem to influence if they were administered the DERS or not; instead, clinician/clinic variables seemed more influential (for more details, see Monell et al.) [9]. Additionally, SASB variables did not differ between patients with or without DERS-ratings (using independent t-tests; ps > .01).

The sample was then split into two groups depending on presence/absence of OBE. Patients with AN-R were categorized into non-OBE EDs; patients with BN and BED into OBE EDs. For patients with AN-BP and OSFED, symptoms can include OBE (in AN-BP, the binge/purge may in some cases refer to purging only), and self-rated presence of OBE in the last month (using self-rated ED-pathology, see measures) decided their group. The study was approved by the Stockholm regional ethics committee (2015/928–31/4).

Measures

The DERS [6] measures self-rated emotion dysregulation in 36 items scored 1–5, providing a Total score and six subscales: Non-Acceptance, Goals, Impulse, Awareness, Strategies, and Clarity. Items are summed to form subscales and the Total score is the sum of all scores; higher scores indicate more emotion dysregulation. The validity and psychometric properties of the subscales are debated [46], and item content might not always match intended theoretical concept [47]. Based on such criticism, rather than using the six subscales and in order to increase specificity, this study focused on item content in subscales corresponding to the original four dimensions in the extension analyses.

Subscales Awareness and Clarity were summed to form the first dimension (range 11–55). As shown using bifactor modelling, Awareness and Clarity capture high degrees of unique information beyond a general emotion dysregulation factor (48, using largely the same sample as this; 50) and have been combined in previous research [13, 48]. They also correlate strongly, primarily with each other in our sample (see Tables S1 and S2). Non-Acceptance alone formed the second dimension (range 6–30), and Goals and Impulse were summed to form the third (range 11–55). Goals and Impulse capture similar low degrees of unique information [46, 49] and correlate strongly with each other in our sample (Tables S1 and S2). Strategies, that captures the least unique information [46, 49], and thus corresponds to a general emotion dysregulation factor, formed the fourth dimension (range 8–40). The Total score (range 36–180) was used in replication analyses. Apart from the debate on the subscales, the DERS has shown good internal consistency and good test-retest reliability [6]. The Swedish DERS has adequate psychometric properties [46]. In this sample, internal consistency was excellent for Impulse/Goals (α = .927), and good for the other dimensions (αs = .869 to .895).

The SASB intrex version [50] Introject measures self-directed behaviors using 36 items scored 0–100 (10-point increments) providing eight clusters (subscales): 1. Self-emancipation; 2. Self-affirmation; 3. Self-love; 4. Self-protection; 5. Self-control; 6. Self-blame; 7. Self-attack; and 8. Self-neglect (see Fig. 1). Six clusters (2-4 and 6-8) form the Affiliation score ranging from −100 – 100; lower scores indicate more self-attack, -blame and -neglect and higher scores indicate more self-love, -acceptance and -protection. The Affiliation score was used in replication analyses while cluster scores were used in extension analyses. The American version of SASB intrex has shown good psychometric properties [50]. The Swedish SASB intrex has shown good internal consistency (Cronbach’s α = .87, Armelius, unpublished manuscript, 2001). In this sample, internal consistency was good for Clusters 3 and 7 (αs = .845 and .830), acceptable for Clusters 2, 4, 6 and 8 (αs = .717–.789), questionable for Cluster 5 (α = .644), and poor for Cluster 1 (α = .594) which was therefore dropped from further analyses.

The EDE-Q [51] version 4.0 measures self-rated ED pathology in the last 28 days, with 36 items scored 0–6 providing four subscales where higher scores indicate more severe pathology, and one mean Global Score, used as outcome in mediation analyses. The EDE-Q also measures ED related behaviors. We used item 18 (frequency of OBE) to categorize AN-BP and OSFED patients (no such episode = non-OBE EDs; one or more = OBE EDs). The original EDE-Q has shown good psychometric properties [52] as has The Swedish EDE-Q [53]. In this sample, internal consistency was excellent for EDE-Q Global Score (α = .927).

Statistical analysis

Prior to analyses (using SPSS version 24 for Mac), Mahalanobis’ distance was used to examine potential multivariate outliers in each ED group separately. No outliers were observed for the simple mediation model variables (model description below), whereas for the parallel mediation model variables, some outliers were observed (a maximum of 2, i.e., < 1%) in each group and excluded from the respective analysis. All variables were z-standardized by group, making path coefficients interpretable using effect size conventions for Pearson coefficients (small ≄ .1; medium ≄ .3; large ≄ .5). PROCESS macro version 2.16.3, Model 4 [54] was used for all mediation analyses. Statistical inference for indirect effects (mediation) was conducted by bias-corrected bootstrap confidence intervals (CI) based on 10,000 bootstrap samples. All mediation analyses were adjusted for age and BMI. To avoid Type-I error due to multiple testing, we set alpha for main analyses to p < .001 and used 99% bootstrap CI:s for indirect effects.

Simple mediation models

The effect of independent variable X (DERS Total) on dependent variable Y (EDE-Q Global), mediated by mediator M (SASB Affiliation) was examined in both ED groups separately (see Fig. 2 for depiction of mediation model components). The opposite direction (i.e., X = SASB; M = DERS) was also examined to investigate which model best fit the data, similar to Monell et al. [9]. Simple mediation analysis yields regression coefficients for each model path: first X on M (path a), M on Y adjusted for X (path b), X on Y (total effect; path c), X on Y adjusted for M (direct effect; path c®), and lastly X through M on Y which is the product of path a and b (indirect effect; path ab). The direct and indirect effects are of greatest importance in this type of analysis; the significance of path a and b independently are of minor importance while their signs (positive vs. negative association) tells the direction of the indirect effect.

Fig. 2
figure 2

Conceptual model of mediation analysis; indirect effect of X on Y through mediator M. Components a, b and cÂŽ are regression coefficients. Dashed lines indicate an extended parallel mediation model; specific indirect effects through more than one mediator

Extended parallel mediation models

Four parallel mediation models (X = 4 DERS dimensions, Y = EDE-Q Global, mediated by mediators M1–7 = SASB Clusters 2–8; Cluster 1 excluded due to poor reliability) were examined in both ED groups separately, regarding the total effect, direct effect (adjusted for all Ms), and seven specific indirect effects (all specific indirect effects adjusted for the others).

Results

After describing sample characteristics, simple mediation results will be presented (one hypothesized and one alternate in each group), followed by the extended mediation models (four in each group); results in participants without OBE are reported prior to results in participants with OBE.

Sample characteristics

Non-OBE EDs (n = 439) consisted of AN-R participants (n = 172), and AN-BP and OSFED participants lacking OBE (n = 35 and 232, respectively). OBE EDs (n = 560) consisted of BN (n = 350) and BED participants (n = 40), as well as AN-BP and OSFED participants with OBE (n = 29 and 141, respectively). Descriptive data on background variables and main measures and group comparisons are presented in Table 1. Since these comparisons were intended to describe and compare the subsamples, differences at p < .01 are reported. Participants without OBE were significantly younger, had shorter ED duration (small effects), and lower BMI than those with OBE (large effect). For the main measures, participants without OBE reported lower EDE-Q (medium effect), higher self-affirmation, lower self-neglect, higher overall Affiliation, less difficulties in goal-directed behavior and impulse control when upset, less emotional helplessness when upset, and lower overall emotion dysregulation (small effects) than participants with OBE.

Table 1 Descriptives for EDs without OBE (n = 439) and EDs with OBE (n = 560) on background variables and all main measures, and independent t-test comparisons. Cohen’s d (small ≄ .02, medium ≄ .05, large ≄ .08) computed for p < .01 differences

Simple mediation models

DERS Total had an indirect effect on EDE-Q Global through SASB Affiliation in both groups (Table 2), such that higher levels of emotion dysregulation were associated with more negative self-directed behaviors, which in turn was associated with higher ED psychopathology. DERS had no direct effect on EDE-Q when SASB Affiliation was accounted for (sometimes referred to as “full mediation”). Descriptively, associations were slightly stronger in non-OBE than in OBE EDs. There was no evidence of the alternate indirect effect in either ED group; SASB Affiliation had significant strong direct effects on EDE-Q Global in both samples, whereas indirect effects through DERS were negligible and CI:s included zero (see Table 2).

Table 2 Simple mediation models examining the hypothesized model and an alternative model in EDs without OBE (n = 439) and EDs with OBE (n = 560), using standardized variables and 99% CI:s using 10,000 bootstrap samples. All models adjusted for age and BMI

Extended parallel mediation models in EDs without OBE

All models were significant (ps < .001; R2s = .46) where DERS dimensions and the majority of SASB clusters were moderately to strongly and significantly associated (a-paths, see all paths for all models in Fig. 3), whereas there were only a few small significant associations between SASB clusters and ED psychopathology when controlling for DERS-dimensions (b-paths). In all models, each emotion dysregulation dimension first had significant moderate associations with ED psychopathology (c-paths; total effects), but when controlling for self-directed behaviors, these associations were non-significant (c®-paths; direct effects); they were instead mediated by different SASB clusters.

Fig. 3
figure 3

Parallel mediation models in EDs without objective binge-eating episodes positing emotion dysregulation dimensions as independent variables (a. Awareness/Clarity; b. Non-Acceptance; c. Goals/Impulse; d. Strategies), self-directed behaviors as mediators, and ED psychopathology as dependent variable. All effects are adjusted for age and BMI. Bold style and grey boxes indicate indirect effects different from zero. Path coefficients are based on standardized variables; examination of indirect effects is based 99% confidence intervals using 10,000 bootstrap samples. * = p < .05; ** = p < .01; *** = p < .001

Awareness/Clarity had an indirect effect on EDE-Q such that higher difficulties in emotional awareness and clarity through lower levels of self-love and higher self-attack was associated with higher ED psychopathology. No other indirect effects had CI’s entirely above zero. Non-acceptance had an indirect effect on EDE-Q where higher emotional non-acceptance through lower self-love, higher self-control, and higher self-attack was associated with higher ED psychopathology. No other indirect effects had CI’s entirely above zero. Goals/Impulse had an indirect effect on EDE-Q where higher difficulties maintaining impulse control and goal-directed behaviors when in distress through lower self-love and higher self-attack was associated with higher ED psychopathology. Strategies had an indirect effect on EDE-Q where higher emotional helplessness through higher self-attack was associated with higher ED psychopathology. No other indirect effects had CI’s entirely above zero.

Extended parallel mediation models in EDs with OBE

Again, all models were significant (ps < .001; R2s = .34) where DERS dimensions and the majority of SASB clusters had significant moderate to strong associations (a-paths, see all paths for all models in Fig. 4), with only a few small significant associations between SASB clusters and ED psychopathology when controlling for DERS-dimensions (b-paths). The DERS-dimensions had small to moderate significant associations with ED psychopathology (c-paths), which were reduced when controlling for self-directed behaviors (c®-paths; direct effects), i.e., these effects were mediated by SASB clusters, albeit different ones compared to non-OBE EDs.

Fig. 4
figure 4

Pabrallel mediation models in EDs with objective binge-eating episodes positing emotion dysregulation dimensions as independent variables (a: Awareness/Clarity; b. Non-Acceptance; c. Goals/Impulse; d. Strategies), self-directed behaviors as mediators, and ED psychopathology as dependent variable. All effects are adjusted for age and BMI. Bold style and grey boxes indicate indirect effects different from zero. Path coefficients are based on standardized variables, examination of indirect effects is based 99% confidence intervals using 10,000 bootstrap samples. * = p < .05; ** = p < .01; *** = p < .001

Awareness/Clarity had an indirect effect on EDE-Q such that higher difficulties in emotional awareness and clarity through lower self-affirmation and higher self-blame was associated with higher ED psychopathology. No other indirect effects had CI’s entirely above zero. Non-acceptance had an indirect effect on EDE-Q where higher emotional non-acceptance through lower self-affirmation, lower self-love, higher self-control, higher self-blame, and higher self-neglect was associated with higher ED psychopathology. No other indirect effects had CI’s entirely above zero. Goals/Impulse had specific indirect effects on EDE-Q where higher difficulties maintaining impulse control and goal-directed behaviors when in distress through lower self-affirmation and higher self-blame was associated with higher ED psychopathology. No other specific indirect effects had CI’s entirely above zero. Strategies had an indirect effect on EDE-Q where higher emotional helplessness through lower self-affirmation and higher self-blame was associated with higher ED psychopathology. No other indirect effects had CI’s entirely above zero.

Discussion

The present study examined associations between trait-level emotion dysregulation, self-directed behaviors, and ED psychopathology in patients who were grouped according to absence or presence of OBE. We found that emotion dysregulation was associated with ED psychopathology through pathology specific self-directed behaviors. The simple mediation results will be summarized and discussed first, followed by the extended mediation results. Thereafter, the theoretical and clinical implications of these results will be discussed.

As hypothesized, our previous mediation finding in a sample of female students [8] was replicated in ED patients. Emotion dysregulation was strongly associated with negative self-directed behavior in both ED groups, and independently, both concepts were moderately (emotion dysregulation) and strongly (self-directed behaviors) associated with ED psychopathology, in line with prior findings [32, 55]. However, emotion dysregulation only had an indirect effect on ED psychopathology through self-directed behaviors, while self-directed behaviors had a strong association with ED psychopathology independent of emotion dysregulation. Associations were generally slightly stronger in the present sample compared to the students [8], and slightly stronger in participants without OBE. Of note, these participants scored somewhat lower ED psychopathology, overall emotion dysregulation, and negative self-directed behaviors although scoring higher self-control, the latter in line with previous findings [26]. Regarding emotion dysregulation, binge-eating participants specifically scored slightly more emotional helplessness, and difficulties focusing and maintaining control when upset, the latter in line with previous research [18].

Among participants without OBE, the most prominent mediators concerned affiliation (i.e., decreased active self-love and increased self-attack). In participants with OBE, both affiliation and autonomy were involved (i.e., decreased self-affirmation and increased self-blame). Self-blame, -love, and -affirmation have previously shown strong associations with ED psychopathology [4], but their function as potential mechanisms between emotion dysregulation dimensions and ED psychopathology are novel findings.

Although mediators differed between groups based on symptomatology, they diverged surprisingly little between models within each group. Prior work on the DERS suggests that Awareness tends to diverge, for instance by showing weaker relations with other psychopathology and the other subscales except with Clarity [46, 49]. Even so, mediators in this model were similar to the other models within each group; different emotion dysregulation dimensions seem associated with ED psychopathology through similar self-directed behaviors within each ED pathology type. Only the Non-acceptance models included additional mediators: higher self-control among participants without OBE; lower self-love, higher self-control, and higher self-neglect among participants with OBE. However, these indirect effects were smaller than others, and although SASB self-control has showed clinically relevant associations in EDs [28, 29], our self-control results needs to be interpreted with caution due to questionable scale reliability.

Possibly, other ways of grouping patients, for instance by directly assessed impulsivity, compulsivity, or overall psychiatric symptom load; or by narrowing the groups even further (e.g., contrasting highly restrictive patients with multi-impulsive ones), might have generated higher specificity, as well as clarifying the clinical relevance of the differences we saw.

Theoretical and clinical implications

Our overall results suggest that emotion dysregulation only has an indirect effect on ED psychopathology through self-directed behaviors, whereas self-directed behaviors have a substantial direct effect on ED psychopathology. Therefore, self-directed behaviors should likely always be addressed in treatment, both independently and as an important process whereby patients may currently attempt to manage their emotions. Patterns of emotion (dys) regulation and self-directed behaviors develop in childhood within attachment relationships where the child’s emerging sense of self as capable or deficient, and worthy of encouragement and care, or of criticism and neglect, is formed in ongoing interactions. These interactions with significant others are introjected and become future self-directed behaviors [7], also forming the foundation of emotion regulation abilities [56, 57].

The specific indirect effects indicate differing processes and needs depending on ED presentation. Among participants without loss of control binge-eating, emotion dysregulation was associated with lower self-love and higher self-attack, which in turn was associated with greater ED psychopathology. Experiencing emotions as unacceptable was additionally associated with somewhat higher self-control in relation to pathology. Self-love reflects secure attachment and the experience that someone important provides safety, love, and understanding when needed. Such an experience may be particularly important when emotions are undifferentiated, uncomfortable, or feel out of control. Our results suggest that in such situations, patients who do not lose control over eating may tend to believe that they will not be met with loving care. For these patients, ED psychopathology might serve to cut them off from themselves and others, thereby suppressing the hope for love, but preserving a coherent albeit pathological sense of self. In interpersonal theory, self-hate is understood as introjected interactions characterized by attacking and recoiling, taking the form of aggressive efforts to either master, or gain distance from, perceived threats [7]. Speculatively, in these patients, emotions could represent such threats, evoking aggressive attack towards the body by engagement in ED pathology, thereby concretizing self-attack.

This perspective adds to existing models of primarily restrictive patients, such as the functional emotional avoidance model [16] and the cognitive-interpersonal maintenance model [33], both of which highlight the avoidant/alexithymic emotional processing style in restrictive patients. Our results indicate that therapists who treat restrictive EDs with cognitive-behavioral therapy (CBT) may need to help patients understand how problems regulating emotions could be translated into self-attack and lack of self-love. Interventions based on self-compassion [35] may benefit these patients if delivered with an explicit focus bridging the gap between feelings and symptoms. Psychodynamic and interpersonal therapists who may already be attending to attachment issues, may nevertheless need to place increased focus on patients’ sense of security when exploring emotional awareness and instances of self-attack, especially in the context of the therapeutic relationship.

Participants who had loss of control binge-eating displayed a more complex pattern. All emotion dysregulation dimensions were associated with lower self-affirmation, which in turn was associated with greater ED psychopathology. Since emotion dysregulation thereby may entail concomitant perceptions of not being met with openness and acceptance, distress tolerance and the possibility of disentangling emotional interpersonal situations may become reduced, thereby increasing the risk for patients to resort to symptoms as a form of distraction. All emotion dysregulation dimensions were also associated with higher self-blame; difficulties in emotional acceptance additionally implied higher self-neglect, higher self-control and lower self-love, in turn associated with greater ED psychopathology. While both self-blame and self-neglect are hostile, self-blame also encompasses aspects of control whereas self-neglect implies relinquishing control. In interpersonal theory, self-blame parallels interpersonal interactions characterized by blaming and appeasing; self-neglect parallels ignoring and walling off. Trying to appease a hostile and controlling other (internally or externally perceived) may necessitate hypervigilance until whatever is perceived as threatening has receded, either by aggressive actions or depressive withdrawal [7]. In the context of threatening emotions, these patients may anxiously oscillate between hostile self-control or by giving up. The former might spur increased efforts of perfectionistic restraint, whereas the latter might spur further loss-of-control symptoms (cf. the “what-the-hell effect” where minor violations of a perfectionistic dietary rule leads to overindulgence) [58]. However, as we only modelled global ED psychopathology, such differentiated outcomes are only speculations.

These findings contribute to dysregulation models of binge-eating pathology [5, 21, 34] by suggesting inclusion of self-blame and spontaneity (in both positive and negative ways) as key processes to highlight in treatment, in that they may represent subjectively valid links between emotions and symptoms. In CBT, learning to tolerate anxiety, disentangling distressing events, and increasing curiosity towards one’s mental states, while neither trying to increase negative control nor giving up, might be particularly important. Psychodynamic and interpersonal therapists could explore associations between emotions, negative self-control, and symptoms, while helping patients to understand how relationships inside and outside therapy impact on symptoms.

Our results also suggest that therapists need to be mindful of their own reactions, regardless of psychotherapeutic approach, in order not to maintain problematic regulation processes [7]. For instance, a patient who walls off and increases ED symptoms might trigger expressions of frustration or anger in the therapist, which in turn risks confirming the patient’s pathological self-related beliefs and emotion regulation strategies. If therapists instead show interest, acceptance, and validation, while openly acknowledging and discussing challenges to the therapeutic process, patients may find it easier to move from self-hostility toward self-affiliation.

Strengths and limitations

This study had several strengths. Our large, nationally representative clinical sample, including most DSM-5 EDs, strengthened the ecological validity of findings. Additionally, the study concurrently examined both emotional and self-related factors previously shown to be meaningful in EDs, and the analysis of these factors in two clinically relevant sub-samples allowed high specificity. There are, however, also several important limitations.

First, since we only had trait-level cross-sectional data, we cannot infer causality. Although statistical mediation, including contrasting with models stipulating the opposite direction of effect, might indicate the possibility of a causal association, other research designs are needed to support such claims. Second, we had no control over DERS administration, possibly biasing the sample. Although there were no differences in patient related variables (e.g., ED pathology, self-directed behaviors, depression, anxiety, age) depending on if patients were administered the DERS or not, there might be unknown factors that affect the generalizability of the results. Third, the results may only generalize to treatment-seeking females. Fourth, although the DERS variables used in this study are based on Gratz and Roemer’s original and clinically relevant conceptualization of emotion dysregulation [6], they are not psychometrically examined and validated in clinical samples. A lower-order correlated traits model including these four as the traits has showed bad fit in university students [59], but no study to our knowledge has examined this solution or alternative second-order or bifactor four-factor solutions in clinical samples (where models showing good fit in control samples often do not fit as well) [46, 49]. However, subscale intercorrelations (Tables S1 and S2), theoretical groundwork [6, 13, 60], and prior findings regarding unique contribution of individual subscales [46, 49, 61] indicate that the combination of Awareness/Clarity and Goals/Impulse is theoretically relevant and empirically reasonable. Fifth, the patient categorization in this study is not commonly accepted, and we only considered OBE but not purging when dividing participants. However, some prior findings point to relevant differences depending on presence/absence of binge-eating in EDs [39, 62], and stronger unique associations between binge-eating and negative urgency compared to those with purging has been reported in female students [40]. Additionally, there were some relevant differences, and results did differ, between samples which provides some validity to this categorization when considering the constructs under consideration here. Even so, future research needs to examine the potential impact of both binge-eating and purging further. Sixth, in the extended mediation analysis, the use of 99% CI when boot-strapping indirect effects undoubtedly widened the CI:s which, in combination with the inclusion of seven more or less correlated mediators in each model, likely contributed to the observed indirect effects being relatively few and rather weak [54]. Our rationale was due to the exploratory nature of this study and lack of previous findings, although our large samples likely counteracted some uncertainty in the results. Future replication could select the most prominent mediators to refine the mediation models. Lastly, the internal consistency was poor for SASB Cluster 1 and questionable for Cluster 5. We chose to exclude Cluster 1, while all results including Cluster 5 needs to be interpreted with great caution. Internal consistency was acceptable to excellent for all other variables.

Conclusions

We found ED pathology specific association pathways whereby emotion dysregulation was associated with more negative self-directed behaviors, which in turn were associated with greater ED psychopathology. This indicates that addressing patients’ self-directed behaviors could be an important way of helping patients deal with their emotions in relation to their ED psychopathology. In participants without loss of control over eating, lower self-love and higher self-attack were influential factors, whereas in participants with loss of control over eating, lower self-affirmation and higher self-blame were influential.

Availability of data and materials

Data belong to the Stepwise registry and are not available for sharing.

Abbreviations

AN:

Anorexia nervosa

AN-R:

Anorexia nervosa restricting subtype

AN-BP:

Anorexia nervosa binge/purge subtype

BED:

Binge eating disorder

BN:

Bulimia nervosa

CBT:

Cognitive behavioral therapy

CI:

Confidence interval

DERS:

Difficulties in Emotion Regulation Scale

DSM:

Diagnostic and Statistical Manual of mental disorders

ED:

Eating disorder

EDE-Q:

Eating Disorder Examination Questionnaire

OBE:

Objective binge-eating episode

OSFED:

Other specified feeding and eating disorders

SASB:

Structural Analysis of Social Behavior

SEDI:

Structured Eating Disorder

UFED:

Unspecified feeding and eating disorders

References

  1. Schaumberg K, Welch E, Breithaupt L, Hubel C, Baker JH, Munn-Chernoff MA, et al. The science behind the academy for eating disorders’ nine truths about eating disorders. Eur Eat Disord Rev. 2017;25(6):432–50.

    PubMed  PubMed Central  Google Scholar 

  2. Culbert KM, Racine SE, Klump KL. Research review: what we have learned about the causes of eating disorders – a synthesis of sociocultural, psychological, and biological research. J Child Psychol Psychiatry. 2015;56(11):1141–64.

    PubMed  Google Scholar 

  3. National Institute for Health and Care Excellence (NICE). Eating Disorders: recognition and treatment: NICE guideline [NG69]. London: NICE; 2017.

    Google Scholar 

  4. Forsén Mantilla E, BirgegÄrd A. The enemy within: the association between self-image and eating disorder symptoms in healthy, non help-seeking and clinical young women. J Eat Disord. 2015;3:30.

    Google Scholar 

  5. Pearson CM, Wonderlich SA, Smith GT. A risk and maintenance model for bulimia nervosa: from impulsive action to compulsive behavior. Psychol Rev. 2015;122(3):516–35.

    PubMed  PubMed Central  Google Scholar 

  6. Gratz KL, Roemer L. Multidimensional assessment of emotion regulation and dysregulation: development, factor structure, and initial validation of the difficulties in emotion regulation scale. J Psychopathol Behav. 2004;26(1):41–54.

    Google Scholar 

  7. Benjamin LS. Interpersonal reconstructive therapy for anger, anxiety, and depression: It’s about broken hearts, not broken brains. Washington, DC: American Psychological Association; 2018.

    Google Scholar 

  8. Monell E, Högdahl L, Forsén Mantilla E, BirgegÄrd A. Emotion dysregulation, self-image and eating disorder symptoms in University Women. J Eat Disord. 2015;3(44).

  9. Monell E, Clinton D, BirgegĂ„rd A. Emotion dysregulation and eating disorders-associations with diagnostic presentation and key symptoms. Int J Eat Disord. 2018;51(8):921–30.

    PubMed  Google Scholar 

  10. Svaldi J, Griepenstroh J, Tuschen-Caffier B, Ehring T. Emotion regulation deficits in eating disorders: a marker of eating pathology or general psychopathology? Psychiatry Res. 2012;197(1–2):103–11.

    PubMed  Google Scholar 

  11. Racine SE, Wildes JE. Dynamic longitudinal relations between emotion regulation difficulties and anorexia nervosa symptoms over the year following intensive treatment. J Consult Clin Psychol. 2015;83(4):785–95..

    PubMed  Google Scholar 

  12. Haedt-Matt AA, Keel PK. Revisiting the affect regulation model of binge eating: a meta-analysis of studies using ecological momentary assessment. Psychol Bull. 2011;137(4):660–81.

    PubMed  PubMed Central  Google Scholar 

  13. Preece D, Becerra R, Allan A, Robinson K, Dandy J. Establishing the theoretical components of alexithymia via factor analysis: introduction and validation of the attention-appraisal model of alexithymia. Personal Individ Differ. 2017;119:341–52.

    Google Scholar 

  14. SkĂ„rderud F. Eating one’s words, part II: the embodied mind and reflective function in anorexia nervosa–theory. Eur Eat Disord Rev. 2007;15(4):243–52.

    PubMed  Google Scholar 

  15. Nowakowski ME, McFarlane T, Cassin S. Alexithymia and eating disorders: a critical review of the literature. J Eat Disord. 2013;1:21.

    PubMed  PubMed Central  Google Scholar 

  16. Wildes JE, Marcus MD. Development of emotion acceptance behavior therapy for anorexia nervosa: a case series. Int J Eat Disord. 2011;44(5):421–7.

    PubMed  Google Scholar 

  17. Merwin RM, Zucker NL, Lacy JL, Elliott CA. Interoceptive awareness in eating disorders: distinguishing lack of clarity from non-acceptance of internal experience. Cognit Emot. 2010;24(5):892–902.

    Google Scholar 

  18. Mallorquí-Bague N, Vintro-Alcaraz C, Sanchez I, Riesco N, Aguera Z, Granero R, et al. Emotion regulation as a Transdiagnostic feature among eating disorders: cross-sectional and longitudinal approach. Eur Eat Disord Rev. 2018;26(1):53–61.

    PubMed  Google Scholar 

  19. Pisetsky EM, Haynos AF, Lavender JM, Crow SJ, Peterson CB. Associations between emotion regulation difficulties, eating disorder symptoms, non-suicidal self-injury, and suicide attempts in a heterogeneous eating disorder sample. Compr Psychiatry. 2017;73:143–50.

    PubMed  Google Scholar 

  20. MacDonald DE, Trottier K, Olmsted MP. Rapid improvements in emotion regulation predict intensive treatment outcome for patients with bulimia nervosa and purging disorder. Int J Eat Disord. 2017;50(10):1152–61.

    PubMed  Google Scholar 

  21. Fairburn CG, Cooper Z, Shafran R. Cognitive behaviour therapy for eating disorders: a “transdiagnostic” theory and treatment. Behav Res Ther. 2003;41(5):509–28.

    PubMed  Google Scholar 

  22. American Psychiatric Association. Diagnostic and statistical manual of mental disorders. Text Revision, 4th ed. Washington DC: American Psychiatric Association; 2000.

    Google Scholar 

  23. Benjamin LS. Structural analysis of social behavior. Psychol Rev. 1974;81(5):392–425.

    Google Scholar 

  24. Godier LR, Park RJ. Compulsivity in anorexia nervosa: a transdiagnostic concept. Front Psychol. 2014;5:778.

    PubMed  PubMed Central  Google Scholar 

  25. Bruch H. Anorexia nervosa: therapy and theory. Am J Psychiatry. 1982;139(12):1531–8.

    PubMed  Google Scholar 

  26. Björck C, Clinton D, Sohlberg S, HĂ€llstrom T, Norring C. Interpersonal profiles in eating disorders: ratings of SASB self-image. Psychol Psychother. 2003;76(Pt 4):337–49.

    PubMed  Google Scholar 

  27. Patel K, Tchanturia K, Harrison A. An exploration of social functioning in young people with eating disorders: a qualitative study. PLoS One. 2016;11(7):e0159910.

    PubMed  PubMed Central  Google Scholar 

  28. BirgegĂ„rd A, Björck C, Norring C, Sohlberg S, Clinton D. Anorexic self-control and bulimic self-hate: differential outcome prediction from initial self-image. Int J Eat Disord. 2009;42(6):522–30.

    PubMed  Google Scholar 

  29. Andersen M, BirgegĂ„rd A. Diagnosis-specific self-image predicts longitudinal suicidal ideation in adult eating disorders. Int J Eat Disord. 2017;50(8):970–8.

    PubMed  Google Scholar 

  30. Haynos AF, Forman EM, Butryn ML, Lillis J. Mindfulness and acceptance for treating eating disorders and weight concerns: evidence-based interventions. Oakland: New Harbinger Publications; 2016.

    Google Scholar 

  31. Forsén Mantilla E, Norring C, BirgegÄrd A. Self-image and 12-month outcome in females with eating disorders: extending previous findings. J Eat Disord. 2019;7(15).

  32. Pennesi JL, Wade TD. A systematic review of the existing models of disordered eating: do they inform the development of effective interventions? Clin Psychol Rev. 2016;43:175–92.

    PubMed  Google Scholar 

  33. Treasure J, Schmidt U. The cognitive-interpersonal maintenance model of anorexia nervosa revisited: a summary of the evidence for cognitive, socio-emotional and interpersonal predisposing and perpetuating factors. J Eat Disord. 2013;1(13):13.

    PubMed  PubMed Central  Google Scholar 

  34. Wonderlich SA, Peterson CB, Smith TL, Klein HM, Mitchell JE, Crow SJ. Integrative cognitive-affective therapy for bulimia nervosa: a treatment manual. New York: Guilford Publications; 2015.

    Google Scholar 

  35. Gale C, Gilbert P, Read N, Goss K. An evaluation of the impact of introducing compassion focused therapy to a standard treatment programme for people with eating disorders. Clin Psychol Psychother. 2014;21(1):1–12.

    PubMed  Google Scholar 

  36. Schaumberg K, Jangmo A, Thornton LM, BirgegĂ„rd A, Almqvist C, Norring C, et al. Patterns of diagnostic transition in eating disorders: a longitudinal population study in Sweden. Psychol Med. 2019;49(5):819–27.

  37. Peat C, Mitchell JE, Hoek HW, Wonderlich SA. Validity and utility of subtyping anorexia nervosa. Int J Eat Disord. 2009;42(7):590–4.

    PubMed  PubMed Central  Google Scholar 

  38. Claes L, Vandereyeken W, Vertommen H. Impulsive and compulsive traits in eating disordered patients compared with controls. Personal Individ Differ. 2002;32(4):707–14.

    Google Scholar 

  39. Fernandez-Aranda F, Pinheiro AP, Thornton LM, Berrettini WH, Crow S, Fichter MM, et al. Impulse control disorders in women with eating disorders. Psychiatry Res. 2008;157(1–3):147–57.

    PubMed  Google Scholar 

  40. Peterson CM, Fischer S. A prospective study of the influence of the UPPS model of impulsivity on the co-occurrence of bulimic symptoms and non-suicidal self-injury. Eat Behav. 2012;13(4):335–41.

    PubMed  Google Scholar 

  41. Safer DL, Telch CH, Chen EY, Linehan MM. Dialectical behavior therapy for binge eating and bulimia. New York: Guilford Publications; 2009.

    Google Scholar 

  42. Hempel R, Vanderbleek E, Lynch TR. Radically open DBT: targeting emotional loneliness in anorexia nervosa. Eat Disord. 2018;26(1):92–104.

    PubMed  Google Scholar 

  43. BirgegĂ„rd A, Björck C, Clinton D. Quality assurance of specialised treatment of eating disorders using large-scale internet-based collection systems: methods, results and lessons learned from designing the stepwise database. Eur Eat Disord Rev. 2010;18(4):251–9.

    PubMed  Google Scholar 

  44. de Man Lapidoth J, BirgegÄrd A. Validation of the structured eating disorder interview (SEDI) against the eating disorder examination (EDE). Stockholm: Karolinska Institutet; 2010.

    Google Scholar 

  45. American Psychiatric Association. Diagnostic and statistical manual of mental disorders. 5th ed. Washington DC: American Psychiatric Association; 2013.

    Google Scholar 

  46. Nordgren L, Monell E, BirgegĂ„rd A, Bjureberg J, Hesser H. Factor structure of the difficulties in emotion regulation scale in treatment seeking adults with eating disorders. J Psychopathol Behav. 2020;42(1):111–26.

  47. Medrano LA, Trogolo M. Construct Validity of the Difficulties in Emotion Regulation Scale: Further Evidence Using Confirmatory Factor Analytic Approach. Abnormal Behav Psychol. 2016;2(2).

  48. Cho Y, Hong S. The new factor structure of the Korean version of the difficulties in emotion regulation scale (K-DERS) incorporating method factor. Meas Eval Couns Dev. 2017;46(3):192–201.

    Google Scholar 

  49. Osborne TL, Michonski J, Sayrs J, Welch SS, Anderson LK. Factor structure of the difficulties in emotion regulation scale (DERS) in adult outpatients receiving dialectical behavior therapy (DBT). J Psychopathol Behav. 2017;39(2):355–71.

    Google Scholar 

  50. Benjamin LS. SASB Intrex user’s manual. Utah: University of Utah; 2000.

    Google Scholar 

  51. Fairburn CG, Beglin SJ. Assessment of eating disorders: interview or self-report questionnaire? Int J Eat Disord. 1994;16(4):363–70.

    PubMed  Google Scholar 

  52. Luce KH, Crowther JH. The reliability of the eating disorder examination-self-report questionnaire version (EDE-Q). Int J Eat Disord. 1999;25(3):349–51.

    PubMed  Google Scholar 

  53. Welch E, BirgegĂ„rd A, Parling T, Ghaderi A. Eating disorder examination questionnaire and clinical impairment assessment questionnaire: general population and clinical norms for young adult women in Sweden. Behav Res Ther. 2011;49(2):85–91.

    PubMed  Google Scholar 

  54. Hayes AF. Introduction to mediation, moderation, and conditional process analysis: a regression-based approach. Second ed. New York: The Guolford Press; 2018.

    Google Scholar 

  55. KĂ€stner D, Lowe B, Gumz A. The role of self-esteem in the treatment of patients with anorexia nervosa – a systematic review and meta-analysis. Int J Eat Disord. 2019;52(2):101–16.

  56. Bowlby J. A secure base: parent-child attachment and healthy human development. New York: Basic Books; 1988.

    Google Scholar 

  57. Mikulincer M, Shaver PR. Attachment orientations and emotion regulation. Curr Opin Psychol. 2019;25:6–10.

    PubMed  Google Scholar 

  58. Herman CP, Polivy J. A boundary model for the regulation of eating. Psychiatr Ann. 1983;13(12):918–27.

    Google Scholar 

  59. Lee DJ, Witte TK, Bardeen JR, Davis MT, Weathers FW. A factor analytic evaluation of the difficulties in emotion regulation scale. J Clin Psychol. 2016;72(9):933–46.

    PubMed  Google Scholar 

  60. Hayes SC, Wilson KG, Gifford EV, Follette VM, Strosahl K. Experiential avoidance and behavioral disorders: a functional dimensional approach to diagnosis and treatment. J Consult Clin Psychol. 1996;64(6):1152–68.

    PubMed  Google Scholar 

  61. Benfer N, Bardeen JR, Fergus TA, Rogers TA. Factor structure and incremental validity of the original and modified versions of the difficulties in emotion regulation scale. J Pers Assess. 2018;101(6):598–608.

    PubMed  Google Scholar 

  62. Gleaves DH, Brown JD, Warren CS. The continuity/discontinuity models of eating disorders: a review of the literature and implications for assessment, treatment, and prevention. Behav Modif. 2004;28(6):739–62.

    PubMed  Google Scholar 

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Acknowledgements

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Funding

Financial support was provided by the Stockholm County Council.

Open access funding provided by Karolinska Institute.

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All authors contributed to aims and design. EM completed the analyses and was the major contributor in writing the manuscript. All authors read and approved the final manuscript.

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Correspondence to Elin Monell.

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The study was approved by the Stockholm regional ethics committee (2015/928–31/4). The study used registry data which is why patients did not give informed consent for this specific study, but this study only included patients that had given overall consent of their data being used in research.

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Supplementary information

Additional file 1: Table S1.

Intercorrelations between DERS scales, SASB Affiliation Score, EDE-Q Global score, age, ED duration and BMI in participants without objective binge-eating episodes. N = 439.

Additional file 2: Table S2

. Intercorrelations between DERS scales, SASB Affiliation Score, EDE-Q Global score, age, ED duration and BMI in participants with objective binge-eating episodes. N = 560.

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Monell, E., Clinton, D. & BirgegÄrd, A. Self-directed behaviors differentially explain associations between emotion dysregulation and eating disorder psychopathology in patients with or without objective binge-eating. J Eat Disord 8, 17 (2020). https://doi.org/10.1186/s40337-020-00294-4

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