Background

Eating disorders are chronic illnesses that develop during childhood and adolescence, and they are syndromes that necessitate physical, psychological, and social support. These disorders have a high comorbidity with psychiatric conditions such as depression, anxiety, attention deficit/hyperactivity disorder, obsessive compulsive disorder, and personality disorders [1]. Depression and anxiety are the most common comorbid symptoms of eating disorders [2,3,4,5]. Thus, evaluating psychopathology is important when determining the onset, duration, and prognosis of eating disorders. These disorders are poorly understood and often manifest as hyperactivity despite malnutrition, making it challenging to evaluate depression superficially. According to a systematic review, patients with anorexia nervosa (AN) have a higher rate of depression than the general population [6,7,8]. It is important to understand depression in patients with eating disorders because long-term depression has been linked to suicide [9, 10]. Previous studies have reported eating disorders and depression in adolescents; however, their existence in younger children (pre-pubertal to adolescent) has rarely been reported. Furthermore, although a systematic scoping review revealed that comorbid depression and eating disorder has a negative impact on weight gain [11], another reports suggested that low body weight due to malnutrition does not affect depression [12]. It is important to understand depression at the onset of childhood eating disorders and evaluate treatment options, but it remains unclear whether treatment improves depressive symptoms in children with eating disorders.

In Japan, the prevalence of eating disorders among junior and senior high school students is ~ 0.5%, which is comparable to that in Western societies [13]. Eating disorder subclassifications differ between children and adults, with AN and avoidance/restrictive food intake disorders (ARFID) accounting for > 50% and 22.5% ~ 25.8% of childhood eating disorders, respectively [14, 15]. In other words, many other eating disorders such as ARFID or unspecified feeding exist in children and differ from AN in terms of age of onset, body weight, eating attitude, and extent of anxiety. In a previous study, individuals with ARFID were younger, reported earlier age of onset, and had higher percent median body mass index (BMI) than those with AN [16]. A retrospective study that categorized different eating disorders including AN and ARFID, among younger individuals found that patients with ARFID had higher rates of comorbidities such as anxiety disorders, separation anxiety disorder, pervasive developmental disorders, attention deficit /hyperactivity disorder, and learning disabilities [12, 17]. However, no prospective studies have been conducted on the depressive course of childhood eating disorders.

This study aimed to evaluate body weight, eating attitudes, psychosocial factors, and depression in children with eating disorders at the initial phase and determine whether depressive symptoms improve prospectively with changes in weight and eating behavior after treatment.

Methods

A prospective cohort study of Japanese children and pre-adolescents with eating disorders

This is a prospective multicenter cohort study (J-PED study) that was established in 2014 to develop a new childhood eating disorder outcome scale. Eleven medical institutions from the north to the south of Japan participated in the study. All J-PED members were trained by a child psychiatrist on how to use the Mini-International Neuropsychiatric Interview [18] to assess comorbid psychiatric disorders.

Enrollment and participants

The registration period lasted two years, from April 2014 to March 2016. Patients with eating disorders under the age of 16 were enrolled, and consent was obtained after the study protocol was explained to the patient and their guardians in the research manual. Eating disorders were diagnosed using the Diagnostic and Statistical Manual of Medical Disorders, Fifth Edition (DSM-5) [19]. Eating disorders are not limited to AN but also include other eating disorders. The study included both untreated first-visit patients and patients referred from other hospitals. Patients who did not provide informed consent to participate in this study were excluded.

The Children's Depression Inventory (CDI) score was obtained from 91 patients with eating disorders at the initial phase. After a 12-month follow-up, 14 patients refused to return to the clinic. Nine patients had missing data. Three patients were referred to psychiatry for suicidal behavior, major depressive symptoms, and other behavioral issues. In addition, three patients had recovered before the 12-month follow-up. Ultimately, 62 patients were able to be evaluated for depression after 12 months (follow-up group; completer), while 29 patients dropped out of enrolment (dropout group) up to 12 months of treatment (Fig. 1). Since the number of dropouts reached up to 30% of the total number of patients at the initial phase, the difference in background characteristics was investigated (Table 1).

Fig. 1
figure 1

Patient flow diagram for this study

Table 1 Comparison of background characteristics at the initial visit between patients in12-month-follow-up and dropout groups

Study protocol

At the initial phase, age, sex, body mass index-standard deviation score (BMI-SDS), blood test, disease type, neurodevelopmental complications, children's eating attitude test (ChEAT26) score, outcome scale score, and CDI score were obtained. According to the pediatric eating disorder treatment protocol published by the Japanese Society of Psychosomatic Pediatrics [20], they were treated with combined family and individual therapy involving disease education, physical treatment, medical nutrition, medication, supportive psychotherapy, and behavioral therapy according to their needs. Patients were treated as either inpatients or outpatients. Total parenteral nutrition, enteral nutrition via a nasogastric tube, psychotherapy, behavioral therapy, and drug therapy were all recommended, with the attending physician at each institution deciding on the best combinations. Changes in BMI-SD, ChEAT26, outcome scale, and CDI were assessed after 12 months of treatment.

Assessment items

Underweight indicators

In the DSM-5 definition of eating disorders, the BMI is used to designate disease severity as follows: moderate (BMI: 16–16.99 kg/m2), severe (BMI: 15–15.99 kg/m2), and extreme (BMI < 15 kg/m2) [19]. However, BMI is not recommended as a measure of adolescent underweight because development-related variability can bias the results [21, 22]. Therefore, the BMI-SDS [21] standardized by age and sex was used in this study.

ChEAT26

ChEAT26 was standardized to the Japanese version [23], which is the pediatric version of the eating attitude test modified by Garner and Garfinkle [24]. The ChEAT26 consists of 26 items designed to screen for and assess symptoms and characteristics of eating disorders in children and pre-adolescents. It is appropriate for students in the fourth grade of elementary school to the third grade of junior high school (approximately 10 to 15 years old). The cutoff value was set at 18 points (the sensitivity was 69% and the specificity was 93%).

Childhood eating disorder outcome scale

Members of the J-PED study discussed the outcome scale items and, as a result of factor analysis, the core symptoms of eating disorders (eating attitudes (EA), fear of being fat (FF), body image distortion (BD)), and the biopsychosocial factors, which covered items in physical and psychological areas based on environmental factors specific to children (body weight change, menstruation (ME), perception of physical condition, school attendance (SA), disease recognition of school (RS), family functioning (FA), disease recognition by parent (RP), social adaption (SA), and relationships with friends (RF)). After that, an outcome scale was developed by excluding ME, RS, and RP, which had small loadings as a result of factor analysis [25]. The childhood eating disorder outcome scale has total scores ranging from 0 to 36, with 36 being the worst. There was a significant negative correlation between change in the outcome scale score and change in BMI-SDS (r =  − 0.562, p < 0.001).

CDI score

The CDI score was used to evaluate depression. It is the standard depression assessment tool in children and adolescents, developed by Kovacs [26]. The Japanese CDI score was standardized by Ozono et al. in 2019 [27]. The CDI's target age ranges from 6 to 17 years. It consists of 27 items that are based on the child's life, such as questions about school and friendships. Each item has three choices, each worth 0 to 2 points (the worst score is 54 points). The CDI consists of five factors (A: negative mood, B: interpersonal problems, C: ineffectiveness, D: anhedonia, and E: negative self-esteem). The total score cutoff for the detection of depression was set at 24 points [27].

Statistical analysis and ethical statement

The Statistical Package for the Social Sciences (SPSS) software, Version 26.0 (IBM SPSS Statistics for Windows, Armonk, NY, USA: IBM Corp.) was used for data analysis. Descriptive analyses were conducted to assess the distribution of the basic clinical and demographic variables among all participants. As the continuous variables in the groups were non-normally distributed, the Wilcoxon signed-rank test and Mann-Whitney U test were used to compare them. However, categorical variables were compared between groups using Fisher's exact test. Finally, the analysis of covariance (ANCOVA) was used to control for potential confounding variables. A paired t-test was used to analyze changes on a continuous scale, while a multiple regression analysis was used to analyze multiple explanatory variables that affect CDI improvement.

The study's design and procedures for obtaining informed consent were approved by the medical ethics committee of Kurume University School of Medicine (approval no. 13211) after applying to the medical review committees of the participating medical institutions.

Results

Comparison of 12-month-follow-up and dropout patients' characteristics at the initial visit (Table 1)

At the initial visit, the participants of 91 children and adolescents aged 7- 15 years. The average age of the 91 patients with eating disorders was 12.9 years (SD: 2.1). The male-to-female ratio was 8:83, with females accounting for 93.4% of the cohort. The average BMI was 13.5 (SD: 1.6), and the average BMI-SDS was − 3.5 (SD: 1.7). The free T3 levels, which reflect nutritional status, were low at 1.67 pg/mL (SD: 0.84). The prevalence of AN was 70.3% (64/91); the other 29.7% (27/91) were cases of ARFID, and the autism spectrum disorder comorbidity diagnosed based on DSM-5 criteria was 12.1% (11/91). The average ChEAT26 score was 20.7 points (SD: 15.5), and the outcome score was 15.7 points (SD: 4.5). The average CDI score was 17.5 points (SD: 8.5), with 24.2% of the cases exceeding the cutoff value (23/24) for Japanese children. Among the 91 patients with eating disorders who had CDI at the initial visit (all patients), 62 patients who had CDI after 12 months of treatment (the follow-up group), and 29 patients who dropped out during the observation period (the dropout group), there were no significant differences in age at the initial visit, male-to-female ratio, BMI, and BMI-SDS, free T3 levels, the prevalence of AN and autism spectrum disorder comorbidity, the ChEAT26 score, the outcome scale score, and the CDI score.

Changes in CDI score, BMI-SDS, ChEAT26 score, and outcome scale from the initial phase to the 12-month follow-up

In 62 patients, the average CDI score was 17.2 points (SD: 9.0) at the initial visit and 12.6 points (SD: 8.3) after 12 months of treatment. A paired t-test revealed that therapeutic intervention significantly reduced the CDI score (p < 0.001, confidence interval (CI): 2.401–7.373; Fig. 2a). In addition, the average BMI-SDS was − 3.5 (SD: 1.6) at the initial visit and − 1.5 (SD: 1.8) after 12 months of treatment, indicating that therapeutic intervention significantly increased BMI-SDS (p < 0.001, CI: − 2.41937– − 1.45321; Fig. 2b). Moreover, the average ChEAT26 score was 21.7 (SD: 15.9) at the initial visit and 8.7 (SD: 9.6) after 12 months of treatment, with the ChEAT26 score decreasing significantly with therapeutic intervention (p < 0.001, CI: 9.284–16.683; Fig. 2c). Furthermore, the average outcome scale scores at the initial visit and after 12 months of treatment were 15.6 (SD: 4.7) and 9.4 (SD: 5.7), respectively, indicating that therapeutic intervention significantly decreased the outcome scale (p < 0.001, CI: 4.472–7.915; Fig. 2d).

Fig. 2
figure 2

Changes in assessment items from the initial phase to the 12-month follow-up. a The CDI score was significantly decreased after 12 months of treatment (p < 0.001). b The BMI-SDS was significantly increased after 12 months of treatment (p < 0.001). CDI, Children’s Depression Inventory; BMI-SDS, body mass index-standard deviation score. c The ChEAT26 score was significantly decreased after 12 months of treatment (p < 0.001). d The outcome scale score was significantly increased after 12 months of treatment (p < 0.001). ChEAT26, children’s version of the Eating Attitude Test-26 items

Prognostic factors at the initial visit and their effects on CDI score and BMI-SDS improvement (Tables 2 and 3)

Table 2 Multiple regression analysis of the effect of prognostic factors on CDI improvement
Table 3 Multiple regression analysis of the effect of prognostic factors on BMI-SDS improvement

To identify the factors at the initial visit that influence the prediction of CDI score changes after 12 months of treatment, a multiple regression analysis was performed using each item of the explanatory variables, which were the BMI-SDS as the physical severity score, the ChEAT26 score as the child's eating attitude score, and the outcome scale as the score of eating disorder core symptoms and the biopsychosocial factors. There was a positive correlation with BMI-SDS and a negative correlation with ChEAT26 at the initial visit. On the other hand, to identify the factors at the initial visit that affect the prediction of changes in BMI-SDS, an index of physical improvement, after 12 months of treatment, a multiple regression analysis was performed using each score at the initial visit as an explanatory variable, and only BMI-SDS at the initial visit revealed a negative correlation.

Discussion

In this study, we revealed that children and pre-adolescents with eating disorders showed improvements in CDI scores with therapeutic intervention. Among 91 patients with eating disorders, 22 patients (24.2%) exceeded the depression cutoff value; however, the CDI score significantly decreased after 12 months of treatment (9.7%, n 6/62). In addition, therapeutic intervention promoted weight recovery along with improvement of depressive symptoms. Body weight and ChEAT26 score at the initial visit had an effect on the improvement of depressive symptoms. This suggests that early intervention, before the occurrence of psychophysical deterioration, may enhance outcomes in children and pre-adolescents with eating disorders. Specifically, addressing the factors contributing to nutritional status during the course of treatment may be crucial in improving depression outcomes.

Several studies have shown a link between patient body weight and depression in ED, with both positive and negative results. In a study involving 147 patients with AN, Marzola et al. reported that patients with higher depressive and anxious temperament scores had lower lifetime BMI [28]. Furthermore, in a study including 217 ED patients without comorbidity, 32 with comorbid anxiety, 86 with comorbid depression, and 36 with comorbid anxiety and depression, Hughes et al. reported that ED patients with comorbid depression showed complex and severe presentations in weight/shape concerns [29]. Tanaka et al. investigated the relationship between nutritional status and physical and/or mental status at the initial visit in 45 ED patients aged ≥ 18 years and 39 age-matched healthy controls. They found that depression assessed using the Beck’s Depression Inventory (BDI) correlated with harm avoidance and self-directedness assessed using the Temperament and Character Inventory-125 in both groups, but BMI showed no correlation with TCI-125 subscales in either group [30]. Based on these reports, although there is no direct relationship between BMI and BDI, our study on children and pre-adolescents with eating disorders revealed the importance of weight gain for improvement of depressive symptoms.

In a previous study, we demonstrated a significant negative correlation between the outcome scale and BMI-SDS, and changes in outcome scale scores from baseline to 12 months were significantly associated with improvement in BMI-SDS [25]. To the best of our knowledge, this is the first scale that can statistically analyze outcome measure in children with eating disorders. Three outcomes (EA, FF, and BD) based on DSM-5 AN criteria were included as disease-specific factors [19]. Moreover, psychosocial factors (e.g., FA, RF, and SA), which are often considered for the recovery of children with eating disorders, were included. However, statistical analysis revealed that the outcome score at the initial visit cannot predict both CDI and BMI-SDS improvement. As this study's scale did not include psychiatric disorders such as depression, these disorders may have been excluded from the statistical analysis. On the other hand, some patients used medications. Antidepressants were used in 8 out of 62 cases, and antipsychotics were used in 10 out of 62 cases. There was no significant difference in the change in CDI values 12 months after treatment between the groups that used each drug and those that did not (data not shown).

A systematic review that investigated whether neuropsychological impairments in patients with AN are influenced by BMI, anxiety disorders, or depression revealed that none of these factors were associated with altered central coherence (a tendency to focus on details rather than the overall picture when processing information) and set-shifting (cognitive flexibility, refers to the ability to shift thoughts or actions according to situational demands) in individuals with AN in most studies [31]. In other words, in addition to BMI or depression, there are other factors that contribute to AN pathology. According to a study investigating the relationship between body image perception and symptoms of depression and anxiety during outpatient psychotherapy in 242 women with AN aged 18–56 years, body image perceptions were significantly associated with symptoms of depression and anxiety at all treatment stages [32]. Thus, prevention of persistent body image disturbance in AN may have resulted in the recovery of depression and anxiety with treatment. Based on these studies, it is necessary to recover not only the physical state of AN but also the cognitive distortion to achieve mental and physical recovery. Our study's findings indicated that BMI-SDS and ChEAT26 score were factors affecting CDI recovery at the initial visit, indicating the need for comprehensive support for EA.

Several studies have argued regarding the importance of family function in the recovery process of children with AN [33,34,35,36,37,38]. In a meta-analysis of 19 randomized controlled trials from 8 different countries on the effects of nonpharmacological interventions on BMI, body dissatisfaction, depression, and anxiety among individuals with AN, behavioral family system therapy was found to improve BMI, while conjoint family therapy was more effective in ameliorating depression [39]. This review demonstrated the impact of multidisciplinary family therapy on physical and psychological recovery. Our study patients were treated at multiple facilities in Japan in accordance with the Japanese Society of Psychosomatic Pediatrics guidelines [20], which are based on expert consensus on the importance of a biopsychosocial approach. Our study treatment involved physical therapy provided by a pediatrician and supportive and/or behavioral therapy centered on family support provided by a multidisciplinary team. The J-PED study revealed that the outcome scale can assess the severity of eating disorders, and changes in this score through therapeutic interventions can reflect improvement in BMI-SDS [25]. In this review, therapeutic interventions led to an improvement of eating disorder pathology, resulting in a decrease in CDI scores.

This study had some limitations. First, one-third of the 91 patients at the initial visit had dropped out during the 12 months leading up to the analysis. The dropout analysis revealed that there were no significant differences in background characteristics of patients among the three groups (91 patients at the initial visit, 62 patients after 12 months of treatment, and 29 patients who dropped out) and that dropout patients had no distinguishing characteristics. Furthermore, while the 12-month follow-up period enabled the evaluation of medium-term outcomes, it may not sufficiently capture long-term recovery and sustainability of treatment effects. Future research should consider extending the follow-up duration to better assess the long-term stability of the therapeutic benefits. It is necessary to examine these dropout cases in the future. Second, despite the presence of psychiatric comorbidities (autism spectrum disorder, depression, and obsessive compulsive disorder) among the study patients were not included as weighting factors in the outcome score. The severity of comorbidities may vary between diseases or patients, and the presence of comorbidities was not included in our outcome scale. Finally, the use of antidepressants and antipsychotics was not subject to specific criteria and was left to the discretion of the attending physician. Because these conditions were not included in the outcome scale, I think this explains why the coefficients of determination (R2) were low. These comorbidities are believed to have a significant negative impact on the prognosis of eating disorders and may be evaluated as prognostic factors in future studies.

Conclusions

In our study, the therapeutic intervention improved CDI score and BMI-SDS after 12 months of treatment. Furthermore, patient body weight and eating attitudes were useful for predicting improvement of depressive symptoms.