Abstract
Purpose
The aim of the current study was to investigate differences in treatment outcomes for residential eating disorder (ED) treatment patients diagnosed with comorbid substance use disorders (SUDs), particularly differences in ED pathology and affect dysregulation.
Method
Secondary data analysis was conducted on data from a previous study of 140 patients at a residential ED facility. SUD was diagnosed by a staff psychiatrist upon admission, and SUD diagnosis was extracted from electronic health records for the current study. Self-report measures of eating pathology and affect dysregulation from pre-treatment and post-treatment assessments were analyzed.
Results
20.1% of the sample (n = 29) were diagnosed with a substance use disorder at the start of treatment. Contrary to hypotheses, those with comorbid SUD did not significantly differ in eating pathology severity, depression symptoms, emotion dysregulation, or psychological acceptance at baseline. Also contrary to hypotheses, individuals with comorbid SUD and ED evidenced slightly larger improvements in certain areas of eating pathology and affect dysregulation throughout treatment than those with ED diagnosis only.
Conclusions
These findings suggest that residential ED treatment is an appropriate treatment choice for individuals with comorbid SUD. The observed improvements in affect dysregulation combined with a period of forced abstinence from maladaptive affect regulation behaviors may explain these positive results, though more research is needed to test the mechanisms of action of residential treatment for this population.
Level of evidence
IV, multiple time series analysis.
Avoid common mistakes on your manuscript.
Introduction
Eating disorders (EDs) and substance use disorders (SUDs) have been found to be highly comorbid in both clinical and sub-clinical populations [1,2,3], and researchers have begun investigating theoretical models of shared risk factors. Existing etiological models commonly hypothesize that affect dysregulation (i.e., deficits in awareness, acceptance, and regulation of negative emotional states; [4]) is a shared risk factor for both EDs and SUDs [5]. Affect dysregulation has been found to be associated with both disordered eating behaviors and problematic substance use [6, 7], and some studies have found that individuals with comorbid ED and SUD have difficulty accepting negative emotions [8, 9]. In addition, one study found that those with comorbid ED and SUD diagnoses are over five times more likely to have a concurrent depression diagnosis [10], a disorder characterized by difficulties identifying and utilizing effective affect regulation strategies [11]. When viewed collectively, these findings may lend support to etiological models wherein disordered eating and problematic substance use function as maladaptive avoidant coping behaviors for regulating negative affect.
Clinically, comorbidity of these disorders is associated with increased severity of both ED and SUD symptoms [10, 12, 13]. A positive correlation has been noted between ED severity and number of adverse consequences related to substance use [10, 14], and comorbidity of these disorders has been linked to increased risk of overdose [15] and mortality [16, 17]. Since the evidence shows that this is a vulnerable at-risk population with worse clinical presentation and more severe consequences, it has been frequently hypothesized that comorbid SUD and ED would be associated with poor response to conventional treatments. However, there remain relatively few studies on treatment outcomes for this population.
The majority of the existing studies on treatment outcomes for comorbid SUD and ED have focused on how SUD treatment impacts comorbid ED symptoms. The general consensus from these studies is that comorbid ED symptoms are associated with SUD treatment dropout [18,19,20] and decreased SUD improvements [21], yet one study did find that outpatient alcohol abuse treatment was effective in improving comorbid ED symptoms [22]. The literature on ED treatment outcomes for individuals with comorbid SUD is even more limited. One study of outpatient ED treatment found that comorbidity predicted dropout [23], while another study found that outpatient ED treatment may have a positive effect on reducing drinking frequency for those with high alcohol consumption [24]. Only one study has examined outcomes from a residential ED treatment [25]. This study found that even though comorbid SUD was associated with higher eating pathology severity at baseline and end of treatment, those with comorbid SUD actually had significantly faster rates of symptom improvement over the first 4 weeks compared to those with ED diagnosis only [25]. These results markedly differ from the other studies reviewed, suggesting that residential ED treatment may not only be effective for individuals with a comorbid ED and SUD, but potentially even more effective than for individuals with an ED alone.
In addition to the studies described above that tested outcomes from either an SUD or ED-focused treatment, two studies have examined outcomes from treatment approaches that were tailored to directly target both substance use and disordered eating. Both these studies found positive outcomes, with participants improving in ED attitudes and behaviors, SUD severity, and affect regulation [26, 27]. However, it is difficult to know if resources should be dedicated to further development of concurrent treatment approaches, without a better understanding of clinical outcomes from existing focused treatment modalities.
In sum, clinical outcomes appear to vary depending on the disorder targeted (SUD treatment versus ED treatment versus combined treatment), the treatment type (residential versus outpatient treatment), and the population (clinical diagnosis versus subthreshold disordered eating, alcohol abuse, or substance dependence). The treatments reviewed also cover a wide range of therapeutic approaches (e.g., 12-step based, pharmacological, cognitive behavioral therapy for eating disorders). Of note, most of the studies to date have focused on whether comorbidity affects treatment dropout; few studies report if comorbid populations differ in terms of ED or SUD outcomes. To the best of our knowledge, no study to date has examined changes in other treatment targets such as affect regulation, despite the hypothesis that affect regulation may be a shared risk factor for EDs and SUDs.
The primary aim of the current study was to examine differences in ED pathology and affect dysregulation treatment outcomes at a residential ED treatment center between patients with comorbid SUD and those with ED diagnosis only. We hypothesized that individuals with comorbid SUD would present with more severe eating pathology and affect dysregulation at the start of treatment. We further predicted that individuals with comorbid SUD would evidence less improvements in eating pathology and affect dysregulation throughout treatment.
Methods
Study setting and population
We conducted secondary analyses on parent study data previously collected by Juarascio and colleagues from a residential ED facility [28]. The parent study was approved by the Institutional Review Board at Drexel University and by the Core Research Committee at the Renfrew Center. All participants signed written consent to participate in the study. Treatment for all patients included individual therapy, group therapy, family therapy, and nutritional counseling. The treatment provided covered a wide range of therapeutic types (e.g., feminist relational therapy, family systems therapy, dialectical behavior therapy, cognitive behavior therapy for eating disorders). As part of the original study, half of the patients received twice weekly acceptance and commitment therapy (ACT) groups and the rest received treatment as usual.
A total of 159 women with a diagnosis of anorexia, bulimia, or eating disorder not otherwise specified were admitted to the residential ED facility during the period of data collection, of which 140 consented to take part in the study. Comorbid psychiatric diagnoses were assessed by psychiatrics upon admission to the residential program. To examine differences in treatment outcomes for those with comorbid problematic substance use, we examined electronic health records for comorbid diagnoses and created an SUD group that included any comorbid diagnosis of alcohol or substance abuse or dependence. The age range of the sample was 18-55 with an average age of 26.74 (SD = 9.19). The sample was primarily Caucasian (89.3%, n = 125), with small proportions of other racial groups (African American = 3.6%, Asian = 2.1%, Hispanic = 2.9%, Other = 1.4%). The average length of ED was 10.75 years (SD = 9.08) with an average age of onset at 16.43 years old (SD = 5.5). Participants had an average length of stay at the current residential facility for 28.5 days (SD = 14.01). The sample was relatively evenly divided between AN spectrum diagnoses (i.e., AN restrictive subtype, AN binge–purge subtype, subthreshold AN; 47.1%, n = 66) and BN spectrum diagnoses (i.e., BN purging subtype, BN non-purging subtype, subthreshold BN, and BED; 52.9%, n = 74).
Measures
Eating Disorder Examination Questionnaire (EDE-Q) assessed overall eating pathology as well as four core features of EDs: Restraint, Weight Concern, Shape Concern, and Eating Concern [29]. Internal consistency and test–retest reliability are both excellent [30], and the EDEQ is highly correlated with the EDE interview. Cronbach’s alpha for the current study was .91 for the Global subscale.
Goldberg Depression Scale (GDS) measured depression symptoms [31]. This measure has demonstrated acceptable internal and external validity and adequate internal consistency [32]. Cronbach’s alpha for the current study was .92.
Drexel Defusion Scale (DDS) is a self-report assessing an individual’s ability to defuse or distance themselves from negative thoughts, feelings, and physiological reactions [33]. DDS has acceptable reliability [33]. Cronbach’s alpha for the current study was .83.
Philadelphia Mindfulness Scale (PHLMS) assesses mindfulness, specifically present-moment awareness and nonjudgemental acceptance [34]. Exploratory and confirmatory factor analyses support the two-factor structure. Good internal consistency and reliability were demonstrated in both clinical and non-clinical samples [34]. The current study used the Acceptance subscale as a measure of psychological acceptance. Cronbach’s alpha for the current study was 0.82.
Acceptance and Action Questionnaire-II (AAQ-II) is a measure of psychological flexibility and assessed experiential avoidance [35]. It has demonstrated adequate reliability and validity [35]. Cronbach’s alpha for the current study was .92.
Dimensions of Emotion Regulation Scale (DERS) assessed overall emotion regulation abilities and six dimensions of emotion regulation: nonacceptance of emotional responses, difficulties engaging in goal-directed behavior, impulse control difficulties, lack of emotional awareness, limited access to emotion regulation strategies, and lack of emotional clarity [4]. It has demonstrated excellent internal consistency and good construct validity [36]. Cronbach’s alpha for the current study ranged from 0.91 to 0.95 for the subscales.
Data analysis plan
Independent samples t tests were run to examine differences between groups at baseline, with comorbid SUD as the independent variable, and eating pathology and affect regulation variables (depression symptoms, emotion regulation, and psychological acceptance) as the dependent variables. Mixed-factorial ANOVAs were conducted to compare the main effects of SUD comorbidity and change in eating pathology and affect regulation throughout treatment. Since the original study noted trend level differences in eating disorder outcomes between conditions, we also ran the same analyses with treatment condition as an additional factor to assess for any potential impact of treatment condition.
Results
Over a fifth (20.1%, n = 29) of the participants were diagnosed with either comorbid alcohol (n = 22) or substance (i.e., amphetamines, cannabis, benzodiazepenes, cocaine, or polysubstance; n = 7) abuse or dependence upon the start of treatment and were classified in the problematic substance use group (SUD) for the current study. Overall, the sample had high eating severity at baseline (M = 4.312, SD = 1.29). Contrary to our original hypothesis, those with comorbid SUD did not significantly differ in eating pathology severity than the ED-only group. Additionally, those with comorbid SUD did not significantly differ on affect regulation factors of depression symptoms, emotion dysregulation, and psychological acceptance. At a trend level, those with comorbid SUD scored higher on the DERS Impulsivity subscale (M = 19.440, SD = 4.457) compared to those with ED-only (M = 17.255, SD = 5.343) t(123) = − 1.886, p = 0.062. Table 1 presents results from an independent samples t test comparing group differences at baseline.
In terms of change in symptoms over the course of treatment, all participants significantly improved in eating pathology and affect regulation. However, contrary to our original hypothesis, the SUD group improved slightly more than the ED-only group on overall eating pathology and other subscales of eating pathology and affect regulation. The comorbid SUD group exhibited significantly greater improvements in weight concern (p = 0.038) and depression symptoms (p = 0.038). At trend level significance, those with comorbid SUD reported larger decreases in overall eating pathology (p = 0.087), eating concern (.064), and lack of emotional clarity (p = 0.091), and greater improvements in psychological acceptance (p = 0.086). When we re-ran the mixed-factorial ANOVA including condition as a factor, there were no significant interaction effects, indicating that these results were not impacted by treatment condition. Table 2 presents group means from the mixed-factorial ANOVA examining difference between groups for symptom change throughout treatment.
Discussion
The aim of the current study was to examine treatment outcome in the areas of eating pathology and affect regulation for ED patients diagnosed with comorbid SUD. At baseline, we found no significant differences in eating pathology or any of the affect dysregulation variables (albeit a trend level difference in impulsivity) between the two groups. This contradicted our original hypotheses as, based on the previous literature, we had expected that those with comorbid diagnoses would exhibit more severe eating pathology and dysregulated affect.
Also contrary to our hypotheses, we found that those with comorbid SUD improved more than individuals with only an ED in some domains of eating pathology and affect dysregulation. These findings, while opposite to outcomes typically observed in studies of outpatient ED treatment [24], are consistent with the results from the one other study of residential ED treatment [25]. Collectively, our findings suggest that individuals with comorbid ED and SUD respond increasingly well to treatments that target shared underlying pathology, such as affect dysregulation, and enforce abstinence from maladaptive coping behaviors (i.e., disordered eating and problematic substance use) through residential treatment supervision.
Given the evidence that both SUD and EDs can be maintained by affect dysregulation, one might expect that a treatment approach focused on improving affect dysregulation would be uniquely beneficial for this population. In the current study, approximately half of the patients did receive an additional group that included a focus on affect dysregulation (ACT) as part of the clinical trial that comprised the parent study. However, our current study did not find differences in outcomes due to treatment condition for ED patients with comorbid SUD. Of note, our study was underpowered for test of a three-way interaction, so the lack of significance could simply reflect low power. Additionally, the parent study tested a relatively low dose of ACT (twice weekly ACT groups plus treatment as usual at the residential facility compared to treatment as usual alone), which may have also reduced the ability to observe an effect of targeting affect dysregulation directly. However, another interpretation of these results may be that it is the forced abstinence inherent in a residential treatment program itself that is the key mechanism underlying the notable improvements observed in the SUD group. Future research is needed to test the mechanisms of action of residential treatment for this population and to evaluate the utility of emotion-focused treatments.
In addition to the limitations described above, there are other important limitations to note for the current study. Because our study was a secondary data analysis, we were limited in the use of a small comorbid sample as well as the lack of measures pertaining to substance use severity and illness course. Although the length of stay at the residential treatment facility is consistent with other residential eating disorder treatment programs [25], future research should utilize longitudinal study designs to examine changes in treatment outcomes over the course of a longer residential program. Future research should also examine a larger comorbid ED and SUD sample, and a sample with a higher severity of substance abuse, to see if there are significant differences in eating pathology and affect regulation severity than an ED-only group. Perhaps further investigation may confirm the current study’s findings and suggest that ED patients with comorbid SUD are not necessarily a more pathological sample, just one that requires specialized treatment to target underlying pathology.
Overall, the current study adds to the field of the literature on treatment outcomes for comorbid ED and SUD populations and lends support for the role of residential ED treatment for individuals with comorbid ED and SUD. The study also contributes novel findings by examining treatment outcome differences in affect dysregulation and finding large improvements in these constructs in individuals with comorbid ED and SUD. As individuals with comorbid eating disorder and substance use disorder are at a high risk for dropout [18,19,20, 23], it is especially important to investigate treatment approaches that produce successful outcomes for both diagnoses. Future research is needed to further clarify the mechanisms of action contributing to improvements in eating pathology and affect dysregulation and whether therapies that target affect regulation are beneficial for this population.
References
Fouladi F, Mitchell JE, Crosby RD, Engel SG, Crow S, Hill L, Steffen KJ (2015) Prevalence of alcohol and other substance use in patients with eating disorders. Eur Eat Disord Rev 23(6):531–536. https://doi.org/10.1002/erv.2410
Keski-Rahkonen A, Mustelin L (2016) Epidemiology of eating disorders in Europe: prevalence, incidence, comorbidity, course, consequences, and risk factors. Curr Opin Psychiatry 29(6):340–345. https://doi.org/10.1097/YCO.0000000000000278
Mann AP, Accurso EC, Stiles-Shields C, Capra L, Labuschagne Z, Karnik NS, Le Grange D (2014) Factors associated with substance use in adolescents with eating disorders. J Adolesc Health 55(2):182–187. https://doi.org/10.1016/j.jadohealth.2014.01.015
Gratz KL, Roemer L (2004) Multidimensional assessment of emotion regulation and dysregulation: development, factor structure, and initial validation of the difficulties in emotion regulation scale. J Psychopathol Behav Assess 26(1):41–54. https://doi.org/10.1023/B:JOBA.0000007455.08539.94
Harrop EN, Marlatt GA (2010) The comorbidity of substance use disorders and eating disorders in women: prevalence, etiology, and treatment. Addict Behav 35(5):392–398. https://doi.org/10.1016/j.addbeh.2009.12.016
Levin ME, MacLane C, Daflos S, Seeley JR, Hayes SC, Biglan A, Pistorello J (2014) Examining psychological inflexibility as a transdiagnostic process across psychological disorders. J Contextual Behav Sci 3(3):155–163. https://doi.org/10.1016/j.jcbs.2014.06.003
Schulte EM, Grilo CM, Gearhardt AN (2016) Shared and unique mechanisms underlying binge eating disorder and addictive disorders. Clin Psychol Rev 44:125–139. https://doi.org/10.1016/j.cpr.2016.02.001
Buckholdt KE, Parra GR, Anestis MD, Lavender JM, Jobe-Shields LE, Tull MT, Gratz KL (2015) Emotion regulation difficulties and maladaptive behaviors: examination of deliberate self-harm, disordered eating, and substance misuse in two samples. Cognit Ther Res 39(2):140–152. https://doi.org/10.1007/s10608-014-9655-3
Elmquist J, Shorey RC, Anderson S, Stuart GL (2018) Experiential avoidance and bulimic symptoms among men in residential treatment for substance use disorders: a preliminary examination. J Psychoactive Drugs 50(1):81–87. https://doi.org/10.1080/02791072.2017.1368746
Courbasson CM, Smith PD, Cleland PA (2005) Substance use disorders, anorexia, bulimia, and concurrent disorders. Can J Public Health 96(2):102–106
Joormann J, Stanton CH (2016) Examining emotion regulation in depression: a review and future directions. Behav Res Ther 86:35–49. https://doi.org/10.1016/j.brat.2016.07.007
Gibbs EL, Kass AE, Eichen DM, Fitzsimmons-Craft EE, Trockel M, Wilfley DE, Taylor CB (2016) Attention-deficit/hyperactivity disorder-specific stimulant misuse, mood, anxiety, and stress in college-age women at high risk for or with eating disorders. J Am Coll Health 64(4):300–308. https://doi.org/10.1080/07448481.2016.1138477
Killeen T, Brewerton TD, Campbell A, Cohen LR, Hien DA (2015) Exploring the relationship between eating disorder symptoms and substance use severity in women with comorbid PTSD and substance use disorders. Amer J Drug Alcohol Abuse 41(6):547–552
Arias JE, Hawke JM, Arias AJ, Kaminer Y (2009) Eating disorder symptoms and alcohol use among adolescents in substance abuse treatment. Subst Abuse 3:SART-S3354. https://doi.org/10.4137/SART.S3354
Yule AM, Carrellas NW, Fitzgerald M, McKowen JW, Nargiso JE, Bergman BG, Wilens TE (2018) Risk factors for overdose in treatment-seeking youth with substance use disorders. J Clin Psychiatry. https://doi.org/10.4088/JCP.17m11678
Franko DL, Keshaviah A, Eddy KT, Krishna M, Davis MC, Keel PK, Herzog DB (2013) A longitudinal investigation of mortality in anorexia nervosa and bulimia nervosa. Am J Psychiatry 170(8):917–925. https://doi.org/10.1176/appi.ajp.2013.12070868
Suzuki K, Takeda A, Yoshino A (2011) Mortality 6 years after inpatient treatment of female Japanese patients with eating disorders associated with alcoholism. Psychiatry Clin Neurosci 65(4):326–332. https://doi.org/10.1111/j.1440-1819.2011.02217.x
Bonfa F, Cabrini S, Avanzi M, Bettinardi O, Spotti R, Uber E (2008) Treatment dropout in drug-addicted women: are eating disorders implicated? Eat Weight Disord 13(2):81–86. https://doi.org/10.1007/BF03327607
Elmquist J, Shorey RC, Anderson SE, Temple JR, Stuart GL (2016) The relationship between eating disorder symptoms and treatment rejection among young adult men in residential substance use treatment. Subst Abuse 10:SART-S33396. https://doi.org/10.4137/SART.S33396
Elmquist J, Shorey RC, Anderson S, Stuart GL (2015) Eating disorder symptoms and length of stay in residential treatment for substance use: a brief report. J Dual Diagn 11(3–4):233–237. https://doi.org/10.1080/15504263.2015.1104480
Cohen LR, Greenfield SF, Gordon S, Killeen T, Jiang H, Zhang Y, Hien D (2010) Survey of eating disorder symptoms among women in treatment for substance abuse. Am J Addict 19(3):245–251. https://doi.org/10.1111/j.1521-0391.2010.00038.x
O’Malley SS, Sinha R, Grilo CM, Capone C, Farren CK, McKee SA, Wu R (2007) Naltrexone and cognitive behavioral coping skills therapy for the treatment of alcohol drinking and eating disorder features in alcohol-dependent women: a randomized controlled trial. Alcohol Clin Exp Res 31(4):625–634. https://doi.org/10.1111/j.1530-0277.2007.00347.x
Fernandez-Aranda F, Alvarez-Moya EM, Martínez-Viana C, Sanchez I, Granero R, Penelo E, Penas-Lledo E (2009) Predictors of early change in bulimia nervosa after a brief psychoeducational therapy. Appetite 52(3):805–808. https://doi.org/10.1016/j.appet.2009.03.013
Karačić M, Wales JA, Arcelus J, Palmer RL, Cooper Z, Fairburn CG (2011) Changes in alcohol intake in response to transdiagnostic cognitive behaviour therapy for eating disorders. Behav Res Ther 49:573–577. https://doi.org/10.1016/j.brat.2011.05.011
Weigel TJ, Wang SB, Thomas JJ, Eddy KT, Pierce C, Zanarini MC, Busch A (2019) Residential eating disorder outcomes associated with screening positive for substance use disorder and borderline personality disorder. Int J Eat Disord 52(3):1–5. https://doi.org/10.1002/eat.23028
Courbasson C, Nishikawa Y, Dixon L (2012) Outcome of dialectical behaviour therapy for concurrent eating and substance use disorders. Clin Psychol Psychother 19(5):434–449. https://doi.org/10.1002/cpp.748
Courbasson CM, Nishikawa Y, Shapira LB (2010) Mindfulness-action based cognitive behavioral therapy for concurrent binge eating disorder and substance use disorders. Eat Disord 19(1):17–33. https://doi.org/10.1080/10640266.2011.533603
Juarascio A, Shaw J, Forman E, Timko CA, Herbert J, Butryn M, Lowe M (2013) Acceptance and commitment therapy as a novel treatment for eating disorders: an initial test of efficacy and mediation. Behav Modif 37(4):459–489. https://doi.org/10.1177/0145445513478633
Fairburn CG, Beglin SJ (1994) Assessment of eating disorders: interview or self-report questionnaire? Int J Eat Disord 16(4):363–370
Luce KH, Crowther JH (1999) The reliability of the eating disorder examination-Self-report questionnaire version (EDE-Q). Int J Eat Disord 25(3):349–351. https://doi.org/10.1002/(SICI)1098-108X(199904)25:3%3c349:AID-EAT15%3e3.0.CO;2-M
Goldberg D, Bridges K, Duncan-Jones P, Grayson D (1988) Detecting anxiety and depression in general medical settings. BMI 297(6653):897–899. https://doi.org/10.1136/bmj.297.6653.897
Holm J, Holm L, Bech P (2001) Monitoring improvement using a patient-rated depression scale during treatment with anti-depressants in general practice A validation study on the Goldberg Depression Scale. Scand J Prim Health Care 19(4):263–266. https://doi.org/10.1080/02813430152706819
Forman EM, Herbert JD, Juarascio AS, Yeomans PD, Zebell JA, Goetter EM, Moitra E (2012) The Drexel defusion scale: a new measure of experiential distancing. J Contextual Behav Sci 1(1–2):55–65. https://doi.org/10.1016/j.jcbs.2012.09.001
Cardaciotto L, Herbert JD, Forman EM, Moitra E, Farrow V (2008) The assessment of present-moment awareness and acceptance: the Philadelphia Mindfulness Scale. Assessment 15(2):204–223. https://doi.org/10.1177/1073191107311467
Bond FW, Hayes SC, Baer RA, Carpenter KM, Guenole N, Orcutt HK, Zettle RD (2011) Preliminary psychometric properties of the Acceptance and Action Questionnaire-II: a revised measure of psychological inflexibility and experiential avoidance. Behav Ther 42(4):676–688. https://doi.org/10.1016/j.beth.2011.03.007
Fowler JC, Charak R, Elhai JD, Allen JG, Frueh BC, Oldham JM (2014) Construct validity and factor structure of the difficulties in emotion regulation scale among adults with severe mental illness. J Psychiatr Res 58:175–180. https://doi.org/10.1016/j.jpsychires.2014.07.029
Acknowledgements
The authors have no acknowledgements.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of interest
The authors declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
Ethical approval
The current study was a secondary data analysis of data from a previous study [25]. The previous study was approved by the Institutional Review Board at Drexel University and by the Core Research Committee at the Renfrew Center.
Informed consent
Informed consent was obtained from all individuals included in the study.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
The article is part of the Topical Collection on Food and Addiction.
Rights and permissions
About this article
Cite this article
Michael, M.L., Juarascio, A. Differences in eating disorder symptoms and affect regulation for residential eating disorder patients with problematic substance use. Eat Weight Disord 25, 1805–1811 (2020). https://doi.org/10.1007/s40519-019-00789-3
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s40519-019-00789-3