Skip to main content
JAMA Network logoLink to JAMA Network
. 2023 Dec 4;6(12):e2346012. doi: 10.1001/jamanetworkopen.2023.46012

Pediatric Patients Hospitalized With Eating Disorders in Ontario, Canada, Over Time

Sarah Smith 1,2,3, Alice Charach 1,3,4,5, Teresa To 1,2,5, Alene Toulany 1,2,5,6,7, Kinwah Fung 2, Natasha Saunders 1,2,5,6,7,
PMCID: PMC10696484  PMID: 38048130

Key Points

Question

How did the characteristics of pediatric patients hospitalized with eating disorder diagnoses in Ontario, Canada, change from 2002 to 2019?

Findings

In this cross-sectional study including 11 654 pediatric eating disorder hospitalizations, rates of pediatric eating disorder hospitalizations increased 139% from 2002 to 2019. The largest relative changes in rates were for males, individuals aged 12 to 14 years, and individuals with eating disorders other than anorexia or bulimia nervosa.

Meaning

These findings underscore the necessity of tailored treatment approaches and programs to address the increasing care needs within these different subpopulations of pediatric patients with eating disorders.


This cross-sectional study examines temporal trends in the rates of pediatric eating disorder hospitalizations by clinical and demographic characteristics in Ontario, Canada, over a 17-year period.

Abstract

Importance

Understanding the evolving characteristics of pediatric patients hospitalized for eating disorders is important to ensure that services and treatments align with patient needs.

Objective

To examine temporal trends in the rates of hospitalizations for pediatric eating disorders by clinical and demographic characteristics in Ontario, Canada, over a 17-year period.

Design, Setting, and Participants

This population-based, repeated, cross-sectional study used linked health administrative and demographic databases in Ontario, Canada, to identify individuals aged 5 to 17 years hospitalized with eating disorder diagnoses from April 1, 2002, to March 31, 2020. Data analyses were performed from May 2021 to June 2023.

Exposure

Fiscal year (April 1-March 31) of eating disorder hospitalization.

Main Outcomes and Measures

Outcomes of interest were absolute and relative changes in pediatric eating disorder hospitalization rates overall and stratified by patient sex, age groups, and eating disorder diagnostic groups.

Results

Over the study period, there were 11 654 pediatric eating disorder hospitalizations, of which 5268 (45.2%) were for anorexia nervosa and 1374 (11.8%) were for bulimia nervosa. There were a total of 10 648 hospitalizations (91.4%) among female patients, and the median (IQR) age was 15.0 (14-0-16.0) years. Hospitalization rates increased 139% from 2002 to 2019, from 2.0 per 10 000 population to 4.8 per 10 000 population. The largest relative changes were observed among male patients (416%; from 0.2 per 10 000 population to 1.1 per 10 000 population), individuals aged 12 to 14 years (196%; from 2.2 per 10 000 population to 6.6 per 10 000 population), and individuals with eating disorders other than anorexia or bulimia nervosa (255%; from 0.6 per 10 000 population to 2.1 per 10 000 population). Male patients, younger adolescents, and individuals with other eating disorders also represented larger proportions of hospitalizations by fiscal 2019.

Conclusions and Relevance

In this cross-sectional study of eating disorder hospitalizations, pediatric hospitalizations increased over time, particularly among populations traditionally considered atypical. Existing eating disorder programs must adapt to accommodate changing patient presentations and increased volumes to ensure effective care delivery.

Introduction

Eating disorders are serious psychiatric illnesses characterized by patterns of restrictive or excessive eating, often accompanied by harmful behaviors, such as self-induced vomiting or excessive exercise. Typically originating in childhood or adolescence,1 these disorders are estimated to affect between 6% and 13% of adolescents.2,3 Eating disorders are associated with high rates of medical complications,4 psychiatric and medical comorbidity,5 functional impairment,2 family distress,6 and some of the highest mortality rates of all psychiatric illnesses.7 Canadian practice guidelines recommend hospitalization to stabilize pediatric patients whose condition is too severe to be managed safely in alternative treatment settings.8

Prior research has demonstrated a concerning upward trend in rates of pediatric hospitalizations with eating disorder diagnoses in Ontario, Canada.9 Similar observations have been made in Europe and the United States.10,11,12 However, little is known about the health service use of pediatric patients with eating disorders who have traditionally been considered atypical, including males, children younger than 12 years, and patients with eating disorders other than anorexia or bulimia nervosa, such as avoidant restrictive food intake disorder and other specified feeding and eating disorders.13,14,15,16,17,18,19,20,21,22,23 International research using health administrative databases has shown increases in eating disorder treatment for pediatric patients with some of these characteristics over time.11,12,24 To our knowledge, the health service use of these patient groups has not been formally evaluated in Canada but is important for service planning, health care practitioner education, and clinical research, given the scarcity of evidence on how to best treat these young patients.

The primary objective of this study was to examine temporal trends in rates of hospitalizations for children and adolescents with eating disorder diagnoses by sex, age group, and eating disorder diagnoses. The proportions of hospitalizations associated with these characteristics in 2002 and 2019 are also compared. We hypothesized that relative increases in rates of eating disorder hospitalizations would be largest for males, young children (age <12 years), and eating disorder diagnoses other than anorexia nervosa or bulimia nervosa.

Methods

This cross-sectional study used data authorized under section 45 of Ontario’s Personal Health Information Protection Act and is exempt from review by a research ethics board.25 Provincial legislation allows ICES to collect and analyze health care data without individual patient consent for health system evaluation. This study followed the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) reporting guideline and the Reporting of Studies Conducted Using Observational Routinely-Collected Health Data (RECORD) Statement.

Study Design, Setting, and Population

This was a population-based, repeated cross-sectional study using linked health administrative databases housed at ICES, an independent not-for-profit research institute in Ontario, Canada. Ontario is Canada’s largest province, representing approximately 40% of Canada’s population. All children and adolescents eligible for provincial health insurance between April 1, 2002 (fiscal year [FY] 2002), and March 31, 2020 (FY 2019), were included. In Canada, an FY is from April 1 to March 31 of the following year. Data were linked using unique encoded identifiers and analyzed at ICES.

Data Sources

We identified provincial residents’ age, sex, and postal code using the provincial health insurance registry (Ontario Registered Persons Database). We extracted hospitalizations with eating disorder diagnoses and other diagnoses contributing to the hospital stay using the Canadian Institute for Health Information’s Discharge Abstract Database (CIHI-DAD) and the Ontario Mental Health Reporting System (OMHRS). Canadian Census data from 2001, 2006, 2011, and 2016 (using the Statistics Canada postal code conversion files at ICES) were used to determine whether individuals resided in rural communities.26

Outcome Measure and Exposure

The primary outcome was the annual rate of hospitalization of individuals aged 5 to 17 years with eating disorder diagnoses per 10 000 population in Ontario from FY 2002 to FY 2019. Overall rates and specific rates by sex (male and female), age group (<12, 12-14, and 15-17 years), and eating disorder diagnoses (anorexia nervosa, bulimia nervosa, or other eating disorder) were calculated. Other eating disorders included eating disorders not otherwise specified, pica, rumination, and feeding disorders of childhood. Hospitalizations with eating disorder diagnoses were defined using diagnostic codes from the International Statistical Classification of Diseases and Related Health Problems, Tenth Revision (ICD-10) with Canadian modifications, the Diagnostic and Statistical Manual of Mental Disorders (Fourth Edition) (DSM-IV)27 and the Diagnostic and Statistical Manual of Mental Disorders (Fifth Edition) (DSM-5)28 in CIHI-DAD (codes F500, F501, F502, F503, F504, F505, F508, F509, F982, and F983) or OMHRS (codes 307.1, 307.50, 307.51, 307.52, 307.53, 307.59, and provisional diagnoses 10 and 12). The feasibility of identifying eating disorder hospitalizations using ICD-10 and DSM-IV and DSM-5 codes in CIHI-DAD and OMHRS databases has been established in prior Canadian research.29 Specific codes used are available in eTable 1 in Supplement 1. For eating disorder diagnostic groupings, hospitalizations were sorted into mutually exclusive groups. The DSM-IV and DSM-5 detail mutually exclusive diagnostic criteria for many diagnoses, such that individuals cannot have multiple eating disorder diagnoses concurrently. Specifically, a DSM-IV or DSM-5 diagnosis of anorexia nervosa supersedes a diagnosis of bulimia nervosa and a DSM-IV or DSM-5 diagnosis of anorexia or bulimia nervosa supersedes the other eating disorder diagnoses included in this study. Hospitalizations of individuals younger than 5 years, older than 17 years, and not residing in Ontario were excluded. Annual population counts of individuals aged 5 to 17 years eligible for provincial insurance from Ontario’s health system registry were used as the population denominators.30

Covariates

For each hospitalization, we measured the number of co-occurring psychiatric disorders identified during that hospitalization and defined using ICD-10, DSM-IV, and DSM-5 diagnostic codes (eTable 2 in Supplement 1) to support understanding of potential changes in complexity (ie, greater number of co-occurring psychiatric disorders) of patients over time. We identified individual-level patient rural and urban residence, in which we defined urban as residing in a census metropolitan area (CMA) or census agglomeration (CA) with at least 10 000 residents.26 We measured socioeconomic status using Statistics Canada’s national neighborhood income quintiles, ranging from lowest (first) to highest (fifth).31 Urban-rural residence and socioeconomic status were included to provide context about sociodemographic factors that may have contributed to findings. We then measured length of stay, defined as the number of days between admission and discharge (inclusive), to provide context for health system planning.

Statistical Analysis

The demographic and clinical characteristics of hospitalized children and adolescents are presented using descriptive statistics with hospitalization as the unit of analysis; therefore, the same individual patient may have contributed to multiple hospitalizations. Annual and relative percentage changes in rates of pediatric eating disorder hospitalizations were calculated per 10 000 specified population overall and by patient sex, age, and diagnostic group. The proportion of hospitalizations with these characteristics in 2002 and 2019 were compared using standardized differences32 with results greater than 0.1 (10%) considered meaningful.

Analyses were conducted using SAS software version 9.4 (SAS Institute). Data were analyzed from May 2021 to June 2023.

Results

Baseline Characteristics

Of 11 654 pediatric hospitalizations for eating disorders included during the study period (eFigure 1 in Supplement 1), most (10 648 hospitalizations [91.4%]) were for female patients. There were 7550 hospitalizations (64.8%) for adolescents aged 15 to 17 years and 628 hospitalizations(5.4%) for children younger than 12 years; the median (IQR) age was 15.0 (14.0-16.0) years. Most hospitalizations were for anorexia nervosa (5268 hospitalizations [45.2%]) followed by other eating disorders (5012 hospitalizations [43.0%]) and bulimia nervosa (1374 hospitalizations [11.8%]). Most hospitalizations were for children living in urban areas (10 469 hospitalizations [89.8%]) and in the highest neighborhood income quintile (3478 hospitalizations [29.8%]) (Table 1). There were no missing data for patient sex, age at discharge, or eating disorder diagnostic codes. Less than 1% of hospitalizations had missing data on rurality or neighborhood income quintile (Table 1).

Table 1. Demographic and Clinical Characteristics of Children and Adolescents Hospitalized for Pediatric Eating Disorders From 2002 to 2019 in Ontario, Canada.

Characteristic Hospitalizations, No. (%) (N = 11 654)
Age, y
Median (IQR) 15.0 (14.0-16.0)
<12 628 (5.4)
12-14 3476 (29.8)
15-17 7550 (64.8)
Sex
Male 1006 (8.6)
Female 10 648 (91.4)
Eating disorder diagnostic category
Anorexia nervosa 5268 (45.2)
Bulimia nervosa 1374 (11.8)
Other eating disordera 5012 (43.0)
Co-occurring psychiatric diagnoses contributing to hospital stay, median (IQR), No. 1.0 (0.0-3.0)
Rurality
Rural 1155 (9.9)
Urban 10 469 (89.8)
Missing 30 (0.3)
Neighborhood income quintile
1 (Low) 1676 (14.4)
2 1971 (16.9)
3 2082 (17.9)
4 2393 (20.5)
5 (High) 3478 (29.8)
Missing 54 (0.5)
Length of stay, median (IQR), d 12 (5-29)
a

Other eating disorder includes eating disorder not otherwise specified, other eating disorder, unspecified eating disorders, pica, rumination, psychological vomiting, psychological overeating, feeding disorders of childhood, and provisional eating disorders.

Trends in Overall Hospitalizations Rates

Over 17 years, the annual rate of eating disorder hospitalizations increased 139% (2.8 hospitalizations per 10 000 population), from 2.0 hospitalizations per 10 000 population (424 total hospitalizations) in 2002 to 4.8 hospitalizations per 10 000 population (963 total hospitalizations) in 2019. Large absolute and relative increases were observed, particularly from 2010 to 2013, with the peak in 2013 at 5.1 hospitalizations per 10 000 population (Table 2, Table 3, Table 4, and the Figure). During this period, there was no discernable change in length of stay, although the number of co-occurring psychiatric diagnoses per hospitalization increased (standardized difference, 0.53).

Table 2. Comparison of Demographic and Clinical Characteristics of Children and Adolescents Hospitalized for Pediatric Eating Disorders in 2002 and 2019 in Ontario, Canada.

Characteristic 2002 Hospitalizations (n = 424) 2019 Hospitalizations (n = 963) Standardized differencea
No. (%) No. per 10 000 population No. (%) No. per 10 000 population
Age, y
<12 26 (6.1) 0.2 59 (6.1) 0.6 0.00
12-14 110 (25.9) 2.2 307 (31.9) 6.6 0.13
15-17 288 (67.9) 5.9 597 (62.0) 12.6 0.12
Sex
Male 23 (5.4) 0.2 114 (11.8) 1.1 0.23
Female 401 (94.6) 3.9 849 (88.2) 8.7 0.23
Eating disorder diagnostic category
Anorexia nervosa 216 (50.9) 1.0 429 (44.5) 2.2 0.09
Bulimia nervosa 83 (19.6) 0.4 83 (8.6) 0.4 0.32
Other eating disorderb 125 (29.4) 0.6 451 (46.8) 2.1 0.36
Co-occurring psychiatric diagnoses contributing to hospital stay, mean (SD), No. 0.8 (1.1) NC 1.6 (1.6) NC 0.53
Rurality
Rural 49 (11.6) NC 94 (9.8) NC 0.06
Urban 375 (88.4) NC 867 (90.0) NC 0.05
Neighborhood income quintile
1 (Low) 54 (12.7) NC 153 (15.9) NC 0.09
2 79 (18.6) NC 144 (15.0) NC 0.10
3 63 (14.9) NC 206 (21.4) NC 0.17
4 90 (21.2) NC 212 (22.0) NC 0.02
5 (High) 138 (32.5) NC 240 (24.9) NC 0.17
Length of stay, median (IQR), d 11 (4-36) NC 11 (5-20) NC 0.06

Abbreviation: NC, not calculated.

a

Standardized differences compare covariates independent of sample size. Values larger than 0.1 represent imbalance.

b

Other eating disorder includes eating disorder not otherwise specified, other eating disorder, unspecified eating disorders, pica, rumination, psychological vomiting, psychological overeating, feeding disorders of childhood, and provisional eating disorders.

Table 3. Annual Rates of Pediatric Hospitalization With Eating Disorder Diagnoses per 10 000 Population and Percent Change in Rates by Patient Characteristics From 2002 to 2019.

Characteristics Hospitalizations (N = 11654)
2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019
Overall
Hospitalizations, No. 424 455 392 405 406 414 431 405 440 608 808 1018 934 872 866 862 951 963
Rate, No. per 10 000 population 2.0 2.2 1.9 1.9 1.9 2.0 2.1 2.0 2.2 3.0 4.1 5.1 4.8 4.5 4.4 4.4 4.8 4.8
Annual change, % NA 7.5 −13.9 3.8 0.5 3.1 5.0 −5.7 9.6 39.2 34.1 26.9 −7.6 −6.3 −0.9 −1.1 9.6 0.6
Relative change, % 0a 7.5 −7.5 −4.0 −3.5 −0.5 4.5 −1.5 7.7 50.3 101.5 155.7 136.3 121.4 119.4 116.9 137.8 139.3
Male patients
Hospitalizations, No. 23 35 23 34 40 42 41 44 43 47 56 55 61 67 77 89 116 114
Rate, No. per 10 000 population 0.2 0.3 0.2 0.3 0.4 0.4 0.4 0.4 0.4 0.5 0.5 0.5 0.6 0.7 0.8 0.9 1.1 1.1
Annual change, % NA 52.1 −34.1 48.1 18.4 5.8 −1.6 7.9 −1.8 9.9 16.0 0.9 13.8 10.3 20.6 9.3 28.4 −2.5
Relative change, % 0a 52.1 0.2 48.4 75.7 85.8 82.9 97.4 93.8 113.0 147.0 149.2 183.6 212.7 277.1 312.3 429.5 416.4
Female patients
Hospitalizations, No. 401 420 369 371 366 372 390 361 397 561 752 963 873 805 789 773 835 849
Rate, No. per 10 000 population 3.9 4.1 3.6 3.6 3.6 3.7 3.9 3.6 4.0 5.7 7.8 10.0 9.1 8.4 8.2 8.0 8.6 8.7
Annual change, % NA 4.6 −12.1 0.8 −0.7 2.4 5.9 −6.6 10.9 42.4 35.6 28.8 −8.8 −7.5 −2.8 −2.0 7.4 0.9
Relative change, % 0a 4.6 −8.1 −7.3 −8.0 −5.8 −0.3 −6.9 3.3 47.0 99.3 156.7 134.0 116.4 110.5 106.2 121.4 123.3
<12 y
Hospitalizations, No. 26 15 17 16 18 24 31 27 33 38 41 27 44 49 51 50 62 59
Rate, No. per 10 000 population 0.2 0.1 0.2 0.2 0.2 0.2 0.3 0.2 0.3 0.4 0.4 0.3 0.4 0.5 0.5 0.5 0.6 0.6
Annual change, % NA −41.6 15.2 −4.4 14.8 35.5 31.0 −12.4 22.7 15.2 7.9 −34.6 62.0 10.7 3.3 −2.78 23.1 −5.5
Relative change, % 0a −41.6 −32.7 −35.7 −26.2 −0.0 30.9 14.8 40.8 62.2 74.9 14.4 85.3 105.1 111.9 106.0 153.7 139.9
Age 12-14 y
Hospitalizations, No. 110 133 124 136 118 126 125 95 129 164 233 293 253 249 280 288 313 307
Rate, No. per 10 000 population 2.2 2.6 2.4 3.4 2.3 2.5 2.5 1.91 2.7 3.5 5.0 6.4 5.6 5.6 6.3 6.4 6.9 6.6
Annual change, % NA 17.3 −8.1 39.7 −30.8 6.9 −0.6 −23.1 39.2 30.6 44.7 28.2 −12.5 −0.3 11.7 2.0 7.2 −3.2
Relative change, % 0a 17.3 7.9 50.6 4.1 11.3 10.7 −14.8 18.5 54.8 124.0 187.1 151.1 150.4 179.7 185.2 205.7 195.9
Age 15-17 y
Hospitalizations, No. 288 307 251 253 270 264 275 283 278 406 543 698 637 574 535 524 576 597
Rate, No. per 10 000 population 5.9 6.2 5.0 4.9 5.1 5.0 5.2 5.4 5.3 7.7 10.3 13.9 13.0 11.9 11.2 11.1 12.2 12.6
Annual change, % NA 6.4 −19.4 −2.1 4.0 −2.6 4.8 3.3 −2.4 46.0 34.1 34.6 −6.1 −8.6 −5.7 −1.52 10.5 2.7
Relative change, % 0a 6.4 −14.2 −16.0 −2.2 −14.9 −10.8 −7.9 −10.0 31.3 76.1 136.9 122.5 103.5 91.9 88.9 108.7 114.4
Anorexia nervosa
Hospitalizations, No. 216 240 203 247 213 219 197 173 169 228 273 422 378 387 426 406 442 429
Rate, No. per 10 000 population 1.0 1.1 1.0 1.2 1.0 1.0 0.9 0.8 0.8 1.1 1.4 2.1 1.9 1.9 2.1 2.0 2.1 2.2
Annual change, % NA 11.0 −15.3 21.5 −14.1 1.2 −9.6 −11.0 0.0 37.6 19.6 54.8 −9.5 −0.7 11.4 −5.6 6.5 6.6
Relative change, % 0a 11.0 −6.0 14.2 1.9 −0.7 −10.2 −20.1 20.1 10.0 31.5 103.5 84.1 82.8 103.7 92.3 104.7 118.3
Bulimia nervosa
Hospitalizations, No. 83 80 56 45 61 44 63 71 69 91 86 112 120 96 69 85 88 85
Rate, No. per 10 000 population 0.4 0.4 0.3 0.2 0.3 0.2 0.3 0.3 0.3 0.5 0.4 0.5 0.6 0.5 0.3 0.4 0.4 0.4
Annual change, % NA −5.0 −29.0 −22.2 38.1 −27.6 47.6 9.7 −5.9 37.5 −2.3 23.3 13.2 −21.7 −29.8 27.3 2.4 −4.7
Relative change, % 0a −5.0 −32.5 −47.5 −27.5 −47.5 −22.5 −15.0 −20.0 10.0 7.5 32.5 50.0 17.5 −17.5 5.0 7.5 2.5
Other eating disorderb
Hospitalizations, No. 125 135 133 113 132 151 171 161 206 290 450 490 439 392 376 374 423 450
Rate, No. per 10 000 population 0.6 0.6 0.6 0.5 0.6 0.7 0.8 0.8 1.0 1.4 2.3 2.5 2.2 2.0 1.9 1.9 2.1 2.1
Annual change, % NA 6.7 −1.6 −14.3 16.7 15.9 13.7 −4.8 29.1 40.2 57.3 9.8 −9.7 −10.3 −6.0 0.5 12.3 1.4
Relative change, % 0a 6.7 5.0 −10.0 5.0 21.7 38.3 31.7 70.0 138.3 275.0 311.7 271.7 233.3 213.3 211.7 250.0 255.0

Abbreviation: NA, not applicable.

a

For relative change, 2002 was used as the reference year.

b

Other eating disorder indicates eating disorder not otherwise specified, other eating disorder, unspecified eating disorders, pica, rumination, psychological vomiting, psychological overeating, feeding disorders of childhood, and provisional eating disorders.

Table 4. Demographic and Clinical Characteristics of Children and Adolescents Hospitalized for Pediatric Eating Disorders From 2002 to 2019.

Characteristics Hospitalizations, No. (%) (N = 11 654)
2002 (n = 424) 2003 (n = 455) 2004 (n = 392) 2005 (n = 405) 2006 (n = 406) 2007 (n = 414) 2008 (n = 431) 2009 (n = 405) 2010 (n = 440) 2011 (n = 608) 2012 (n = 808) 2013 (n = 1018) 2014 (n = 934) 2015 (n = 872) 2016 (n = 866) 2017 (n = 862) 2018 (n = 951) 2019 (n = 963)
Age, y
Median (IQR) 15.0 (14.0-17.0) 15.0 (14.0-17.0) 15.0 (14.0-16.0) 15.0 (14.0-16.0) 15.0 (14.0-16.0) 15.0 (14.0-16.0) 16.0 (14.0-16.0) 16.0 (14.0-17.0) 15.0 (14.0-16.0) 15.0 (14.0-16.0) 15.0 (14.0-16.0) 15.0 (14.0-16.0) 15.0 (14.0-16.0) 15.0 (14.0-16.0) 15.0 (14.0-16.0) 15.0 (14.0-16.0) 15.0 (14.0-16.0) 15.0 (14.0-16.0)
<12 26 (6.1) 15 (3.3) 17 (4.3) 16 (4.0) 18 (4.4) 24 (5.8) 31 (7.2) 27 (6.7) 33 (7.5) 38 (6.3) 41 (5.1) 27 (2.7) 44 (4.7) 49 (5.6) 51 (5.9) 50 (5.8) 62 (6.5) 59 (6.1)
12-14 110 (25.9) 133 (29.2) 124 (31.6) 136 (33.6) 118 (29.1) 126 (30.4) 125 (29.0) 95 (23.5) 129 (29.3) 164 (27.0) 233 (28.8) 293 (28.8) 253 (27.1) 249 (28.6) 280 (32.3) 288 (33.4) 313 (32.9) 307 (31.9)
15-17 288 (67.9) 307 (67.5) 251 (64.0) 253 (62.5) 270 (66.5) 264 (63.8) 275 (63.8) 283 (69.9) 278 (63.2) 406 (66.8) 534 (66.1) 698 (68.6) 637 (68.2) 574 (65.8) 535 (61.8) 524 (60.8) 576 (60.6) 597 (62.0)
Sex
Male 23 (5.4) 35 (7.7) 23 (5.9) 34 (8.4) 40 (9.9) 42 (10.1) 41 (9.5) 44 (10.9) 43 (9.8) 47 (7.7) 54 (6.7) 54 (5.4) 61 (6.5) 67 (7.7) 81 (9.4) 89 (10.3) 115 (12.2) 113 (11.8)
Female 402 (94.6) 420 (92.3) 369 (94.1) 371 (91.6) 366 (90.1) 372 (89.9) 390 (90.5) 361 (89.1) 397 (90.2) 561 (92.3) 754 (93.3) 964 (94.6) 873 (93.5) 805 (92.3) 785 (90.6) 773 (89.7) 836 (87.8) 850 (88.2)
Diagnostic category
Anorexia nervosa 216 (50.9) 240 (52.7) 203 (51.8) 247 (61.0) 213 (52.5) 219 (52.9) 197 (45.7) 173 (42.7) 169 (38.4) 228 (37.5) 273 (33.8) 422 (41.5) 378 (40.5) 387 (44.4) 426 (49.2) 406 (47.1) 442 (46.5) 429 (44.5)
Bulimia nervosa 83 (19.6) 80 (17.6) 56 (14.3) 45 (11.1) 61 (15.0) 44 (10.6) 63 (14.6) 71 (17.5) 65 (14.8) 90 (14.8) 85 (10.5) 106 (10.4) 117 (12.5) 93 (10.7) 64 (7.4) 82 (9.5) 86 (9.0) 83 (8.6)
Other eating disordera 125 (29.5) 135 (29.7) 133 (33.9) 113 (27.9) 132 (32.5) 151 (36.5) 171 (39.7) 161 (39.8) 206 (46.8) 290 (47.7) 450 (55.7) 490 (48.1) 439 (47.0) 392 (45.0) 376 (43.4) 374 (43.4) 423 (44.5) 451 (46.8)
Co-occurring psychiatric diagnoses contributing to hospital stay, median (IQR), No. 0 (0-1) 1 (0-2) 1 (0- 1) 0 (0-1) 1 (0-1) 1 (0-1) 1 (0-1) 1 (0-2) 1 (0-2) 1 (0-2) 1 (0-2) 1 (0-2) 1.0 (0-2) 1 (−2) 1 (0-2) 1.0 (0-2) 1 (0-2) 1 (0-2)
Ruralityb
Rural 49 (11.6) 64 (14.1) 43 (11.0) 46 (11.4) 43 (10.6) 38 (9.2) 41 (9.5) 32 (7.9) 62 (14.1) 61 (10.0) 79 (9.8) 101 (9.9) 86 (9.2) 93 (10.7) 85 (9.8) 63 (7.3) 91 (9.6) 94 (9.8)
Urban 375 (88.4) 391 (85.9) 349 (89.0) 359 (88.6) 363 (89.4) 376 (90.8) 390 (90.5) 373 (92.1) 377 (85.7) 543 (89.3) 728 (90.1) 916 (90.0) 840 (89.9) 775 (88.9) 776 (89.6) 797 (92.5) 857 (90.1) 867 (90.0)
Neighborhood income quintileb
1 (Lowest) 54 (12.7) 51 (11.2) 60 (15.3) 52 (12.8) 43 (10.6) 39 (9.4) 48 (11.1) 63 (15.6) 61 (13.9) 65 (10.7) 99 (12.3) 137 (13.5) 166 (17.8) 132 (15.1) 151 (17.4) 144 (16.7) 158 (16.6) 154 (15.9)
2 79 (18.6) 77 (16.9) 57 (14.5) 56 (13.8) 79 (19.5) 66 (15.9) 65 (15.1) 68 (16.8) 60 (13.6) 105 (17.3) 139 (17.2) 204 (20.0) 172 (18.4) 166 (19.0) 139 (16.1) 146 (16.9) 149 (15.7) 144 (15.0)
3 63 (14.9) 84 (18.5) 69 (17.6) 57 (14.1) 38 (9.4) 66 (15.9) 79 (18.3) 68 (16.8) 100 (22.7) 122 (20.1) 155 (19.2) 186 (18.3) 124 (13.3) 147 (16.9) 162 (18.7) 165 (19.1) 191 (20.1) 206 (21.4)
4 90 (21.2) 103 (22.6) 83 (21.2) 89 (22.0) 97 (23.9) 86 (20.8) 92 (21.3) 85 (21.0) 95 (21.6) 121 (19.9) 178 (22.0) 195 (19.2) 181 (10.4) 177 (20.3) 166 (19.2) 154 (17.9) 189 (19.9) 212 (22.0)
5 (Highest) 138 (32.5) 140 (30.8) 119 (30.4) 148 (36.5) 146 (36.0) 156 (37.7) 147 (34.1) 121 (29.9) 123 (28.0) 191 (31.4) 235 (29.1) 293 (28.8) 283 (30.3) 245 (28.1) 241 (27.8) 251 (29.1) 261 (27.4) 240 (24.9)
Length of stay, median (IQR), d 11 (4-36) 14 (5-34) 17 (5-41) 18 (7-42) 16 (6-41) 20 (6-48) 14 (4-42) 15 (5-45) 15 (5-42) 11 (4-34) 14 (5-30) 12 (5-27) 11 (5-2) 13 (5-26) 10 (4-21) 11 (5-22) 10 (4-21) 11 (5-20)
a

Other eating disorder indicates eating disorder not otherwise specified, other eating disorder, unspecified eating disorders, pica, rumination, psychological vomiting, psychological overeating, feeding disorders of childhood, and provisional eating disorders.

b

Missing data added to largest subgroup.

Figure. Annual Rates of Pediatric Eating Disorder Hospitalizations per 10 000 Population From April 1, 2002, to March 31, 2020, in Ontario, Canada .

Figure.

Trends in Hospitalizations by Sex

Annual rates of eating disorder hospitalizations increased for male and female patients over the study period. Among male patients, the annual rate of hospitalizations increased 416%, from 0.2 hospitalizations per 10 000 population in 2002 to 1.1 hospitalizations per 10 000 population in 2019. For female patients, the annual rate of hospitalizations increased 123%, from 3.9 hospitalizations per 10 000 population in 2002 to 8.7 hospitalizations per 10 000 population in 2019 (Figure), with the largest absolute and relative increases observed from 2010 to 2013 (Table 2, Table 3, Table 4, and the Figure). The relative proportion of hospitalizations of male patients increased over the study period, from 5.4% of patients in 2002 to 11.8% of patients in 2019 (standardized difference, 0.23) (Table 2).

Trends in Hospitalizations by Age Group

The annual hospitalization rates increased for all age groups over time, with the largest relative change among patients aged 12 to 14 years: a 196% increase was observed, from 2.2 hospitalizations per 10 000 population in 2002 to 6.6 hospitalizations per 10 000 population in 2019) (Figure, Table 3). Rates increased 140% for patients younger than 12 years (0.2 hospitalizations per 10 000 population in 2002 to 0.6 hospitalizations per 10 000 population in 2019) and 114% for patients aged 15 to 17 years (5.9 hospitalizations per 10 000 population in 2002 to 12.6 hospitalizations per 10 000 population in 2019). (Figure, Table 3, and Table 4). The proportion of hospitalizations of individuals aged 12 to 14 years increased significantly (standardized difference, 0.13) from 25.9% in 2002 to 31.9% in 2019, while the proportion of individuals aged 15 to 17 years old decreased (standardized difference, 0.12) from 67.9% in 2002 to 62.0% in 2019. No differences were observed among patients younger than 12 years (Table 2, Table 3, and Table 4).

Trends in Hospitalizations by Eating Disorder Diagnostic Group

The largest relative increase in hospitalization rates occurred for eating disorder diagnoses other than anorexia or bulimia nervosa, including eating disorder not otherwise specified, unspecified eating disorders, pica, rumination, and feeding disorders of early childhood. Rates for this diagnostic group increased 255%, from 0.6 hospitalizations per 10 000 population in 2002 to 2.1 hospitalizations per 10 000 population in 2019, while rates for anorexia nervosa increased 118% from (1.0 hospitalizations per 10 000 in 2002 to 2.2 hospitalizations per 10 000 population in 2019), again, with the largest observed increases from 2010 to 2013. Hospitalization rates for bulimia remained relatively stable throughout the study period (Figure and Table 2). The proportion of hospitalizations with other eating disorder diagnoses increase from 29.5% in 2002 to 46.7% in 2019 (standardized difference, 0.36) while the proportion of hospitalizations with bulimia nervosa diagnoses decreased from 19.6% in 2002 to 8.6% in 2019 (standardized difference, 0.32). Unspecified eating disorders (3508 hospitalizations [30.6%]) and other eating disorders (839 hospitalizations [7.2%]) were the largest specific diagnostic codes in the other eating disorder diagnostic group (eFigure 2 in Supplement 1).

Discussion

This cross-sectional study using large health administrative data sets found a 139% increase in pediatric eating disorder hospitalizations over a 17-year period in Ontario, Canada. The most substantial relative increases were observed among male patients (416%), younger adolescents (aged 12-14 years; 196%), and patients with eating disorders other than anorexia or bulimia nervosa (255%). Across all age groups, we observed significant absolute increases in eating disorder hospitalizations, with the largest increases for female patients and patients in midadolescence. These large increases and the observed changes in the proportion of hospitalizations of male patients, patients with bulimia nervosa, and patients with other eating disorders have implications for health system capacity and service provision.

Previous international research has reported increases in eating disorder service utilization among pediatric patients traditionally considered atypical. In the United States, the number of children younger than 12 years hospitalized with eating disorders increased from 1999 to 2006.12 Similarly, the number of individuals aged 10 to 14 years hospitalized with eating disorders increased in the United Kingdom from 2002 to 2011,11 and in Norway from 2010 to 2016.24 Studies have also shown increases in male patients seeking eating disorder care in Denmark from 1970 to 2008 and in the United Kingdom from 2002 to 2009.10,33 Moreover, diagnoses of eating disorders not otherwise specified increased in the United Kingdom from 2002 to 2009,11 while atypical anorexia nervosa, a subtype of eating disorders not otherwise specified, increased in Norway from 2010 to 2016.24 This cross-sectional study found that similar changes have been occurring in Canada over a more extended period.

Several factors may account for these findings, including an increase in the overall prevalence of eating disorders in the population, improved detection of illnesses by health care practitioners, or an increasing number of affected individuals seeking medical care due to reducing mental health stigma. Evaluating these possibilities effectively is challenging without provincial or national data on the prevalence of eating disorders outside of acute care settings over our study period.

An important consideration is the introduction of the DSM-5 into clinical practice in 2013, which coincided with the highest annual pediatric eating disorder hospitalization rate in our study (5.1 hospitalizations per 10 000 population aged 5-17 years). The DSM-5 underwent multiple revisions to address concerns that DSM-IV diagnostic criteria were not clinically applicable to many patients.27,28 These revisions included removing the amenorrhea and percentage body weight criteria from anorexia nervosa, broadening diagnostic criteria for anorexia nervosa to include behavioral as well as cognitive symptoms, reducing the required frequencies of binging or purging for bulimia nervosa and binge eating disorder, and expanding the diagnosis feeding and eating disorders of childhood into avoidant or restrictive food intake disorder, which includes individuals of all ages with restricted eating attributable to concerns other than body image. The use of these more inclusive revised criteria could have resulted in higher rates of eating disorder diagnoses in clinical settings in our study, especially among male patients, younger adolescents, and patients with other eating disorder diagnoses. Specifically, these new criteria may have led to more accurate diagnoses of anorexia nervosa, bulimia nervosa, and other specified eating disorders. However, they may have also contributed to diagnostic confusion, since unspecified eating disorder diagnoses peaked in 2013.

Previous research has indicated an increasing trend in mental health service utilization among children and youth (ages 10-24 years) in Ontario for diagnoses other than eating disorders over time.34,35,36 Pediatric patients seeking care for co-occurring mental health diagnoses could have had their eating disorders detected, potentially contributing to the observed increase in the number of co-occurring psychiatric diagnoses over time. Additionally, the province of Ontario launched a comprehensive mental health and addictions strategy during our study period, encompassing diverse initiatives, such as enhanced mental health literacy and increased funding to mental health agencies.37 These efforts likely contributed to increasing utilization of mental health services for both eating disorders and co-occurring mental health conditions.

Implications

Understanding the changing characteristics of pediatric patients with eating disorders who are hospitalized is important for both clinical research and practice. Current evidence to inform the treatment of the patient subgroups historically considered atypical remains very limited. Future research should assess the applicability of specific eating disorder treatments to their care as well as patient and families’ experiences of care to ascertain whether existing services adequately meet their needs.

Our findings should be communicated to health care practitioners, as misperceptions about who is at risk for developing eating disorders contribute to delays in help seeking, misdiagnosis and appropriate referrals, particularly for male patients and younger patients.38,39 Such delays in appropriate eating disorder treatment may exacerbate serious medical concerns, including impaired growth, developmental delays, or reductions in bone density acquisition, that can be irreversible.4 Many health care practitioners also lack awareness of the dangers of eating disorders other than anorexia or bulimia nervosa.40 There is a pressing need for education to enhance health care practitioners’ knowledge on the prevalence, risks, and spectrum of pediatric eating disorder diagnoses across all ages and sexes. This education should include information on eating disorder psychiatric sequelae and co-occurring conditions, treatment goals, and evidence-based treatments.

Limitations

This study has several limitations. First, the inclusion criteria were limited to hospitalizations with specific ICD-10 and DSM-IV or DSM-5 eating disorder diagnostic codes. This may have not captured patients with eating disorders with medical or psychiatric complications who were not assigned an eating disorder diagnostic code, potentially resulting in an underestimation of rates of pediatric eating disorder hospitalizations. The feasibility of applying the eating disorder codes used in this study to administrative data has been established, but they have not been formally validated.29 The sex variable in administrative data in Ontario reflects sex assigned at birth and does not account for patient-identified gender. Finally, because our study only included Ontario residents, results may not be generalizable to other provinces in Canada where pediatric eating disorder treatment is organized and funded differently.

Conclusions

In this cross-sectional study of pediatric eating disorder hospitalizations, the utilization of inpatient pediatric eating disorder care in Ontario increased significantly from 2002 to 2019. This was accompanied by notable shifts in the demographic and clinical characteristics of hospitalized patients toward higher proportions of male patients, younger adolescents, and individuals with eating disorders aside from anorexia nervosa or bulimia nervosa. Pediatric patients who require hospitalization represent the most unwell or unstable children and adolescents with eating disorders at high risk for chronic morbidity and mortality. These patients require resource-intensive care to address their complex needs. The effectiveness of existing pediatric programs and treatments, particularly for patients with characteristics that have traditionally been considered atypical, is largely unknown and warrants further study. Health care practitioner education about the increasing diversity and psychiatric complexity of pediatric patients with eating disorders is needed to improve identification of these serious illnesses and support early access to appropriate care.

Supplement 1.

eTable 1. Diagnostic Codes Used to Capture Pediatric Eating Disorder Hospitalizations

eTable 2. Classification of Co-Occurring Psychiatric Diagnostic Codes

eFigure 1. Flowchart of Inclusion and Exclusion Criteria

eFigure 2. Annual Frequencies of “Other” Eating Disorder Hospitalizations From 2002 to 2019

Supplement 2.

Data Sharing Statement

References

  • 1.Strober M, Freeman R, Morrell W. The long-term course of severe anorexia nervosa in adolescents: survival analysis of recovery, relapse, and outcome predictors over 10-15 years in a prospective study. Int J Eat Disord. 1997;22(4):339-360. doi: [DOI] [PubMed] [Google Scholar]
  • 2.Swanson SA, Crow SJ, Le Grange D, Swendsen J, Merikangas KR. Prevalence and correlates of eating disorders in adolescents: results from the national comorbidity survey replication adolescent supplement. Arch Gen Psychiatry. 2011;68(7):714-723. doi: 10.1001/archgenpsychiatry.2011.22 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Mitchison D, Mond J, Bussey K, et al. DSM-5 full syndrome, other specified, and unspecified eating disorders in Australian adolescents: prevalence and clinical significance. Psychol Med. 2020;50(6):981-990. doi: 10.1017/S0033291719000898 [DOI] [PubMed] [Google Scholar]
  • 4.Katzman DK. Medical complications in adolescents with anorexia nervosa: a review of the literature. Int J Eat Disord. 2005;37(suppl):S52-S59. doi: 10.1002/eat.20118 [DOI] [PubMed] [Google Scholar]
  • 5.Toulany A, Wong M, Katzman DK, et al. Cost analysis of inpatient treatment of anorexia nervosa in adolescents: hospital and caregiver perspectives. CMAJ Open. 2015;3(2):E192-E197. doi: 10.9778/cmajo.20140086 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Beale B, McMaster R, Hillege S. Eating disorders: a qualitative analysis of the parents’ journey. Contemp Nurse. 2004;18(1-2):124-132. doi: 10.5172/conu.18.1-2.124 [DOI] [PubMed] [Google Scholar]
  • 7.Arcelus J, Mitchell AJ, Wales J, Nielsen S. Mortality rates in patients with anorexia nervosa and other eating disorders: a meta-analysis of 36 studies. Arch Gen Psychiatry. 2011;68(7):724-731. doi: 10.1001/archgenpsychiatry.2011.74 [DOI] [PubMed] [Google Scholar]
  • 8.Couturier J, Isserlin L, Norris M, et al. Canadian practice guidelines for the treatment of children and adolescents with eating disorders. J Eat Disord. 2020;8:4. doi: 10.1186/s40337-020-0277-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Toulany A, Kurdyak P, Guttmann A, et al. Acute care visits for eating disorders among children and adolescents after the onset of the COVID-19 pandemic. J Adolesc Health. 2022;70(1):42-47. doi: 10.1016/j.jadohealth.2021.09.025 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Gammelmark C, Jensen SO, Plessen KJ, Skadhede S, Larsen JT, Munk-Jørgensen P. Incidence of eating disorders in Danish psychiatric secondary healthcare 1970-2008. Aust N Z J Psychiatry. 2015;49(8):724-730. doi: 10.1177/0004867414567758 [DOI] [PubMed] [Google Scholar]
  • 11.Holland J, Hall N, Yeates DG, Goldacre M. Trends in hospital admission rates for anorexia nervosa in Oxford (1968-2011) and England (1990-2011): database studies. J R Soc Med. 2016;109(2):59-66. doi: 10.1177/0141076815617651 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Zhao Y, Encinosa W. Hospitalizations for eating disorders from 1999 to 2006: statistical brief #70. In: Healthcare Cost and Utilization Project (HCUP) Statistical Briefs. Agency for Healthcare Research and Quality; 2006. [PubMed] [Google Scholar]
  • 13.Datta N, Hagan K, Bohon C, et al. Predictors of family-based treatment for adolescent eating disorders: do family or diagnostic factors matter? Int J Eat Disord. 2023;56(2):384-393. doi: 10.1002/eat.23867 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Lock J, le Grange D, Forsberg S, Hewell K. Is family therapy useful for treating children with anorexia nervosa: results of a case series. J Am Acad Child Adolesc Psychiatry. 2006;45(11):1323-1328. doi: 10.1097/01.chi.0000233208.43427.4c [DOI] [PubMed] [Google Scholar]
  • 15.Hughes EK, Le Grange D, Court A, Sawyer SM. A case series of family-based treatment for adolescents with atypical anorexia nervosa. Int J Eat Disord. 2017;50(4):424-432. doi: 10.1002/eat.22662 [DOI] [PubMed] [Google Scholar]
  • 16.Bozabali ÖG, Baykara B, Baykara A. Olanzapine use in five different psychiatric disorders in children and adolescents. Klinik Psikofarmakoloji Bulteni. 2002;12:179-185. [Google Scholar]
  • 17.Spettigue W, Norris ML, Santos A, Obeid N. Treatment of children and adolescents with avoidant/restrictive food intake disorder: a case series examining the feasibility of family therapy and adjunctive treatments. J Eat Disord. 2018;6:20. doi: 10.1186/s40337-018-0205-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Lock J, Sadeh-Sharvit S, L’Insalata A. Feasibility of conducting a randomized clinical trial using family-based treatment for avoidant/restrictive food intake disorder. Int J Eat Disord. 2019;52(6):746-751. doi: 10.1002/eat.23077 [DOI] [PubMed] [Google Scholar]
  • 19.Brewerton TD, D’Agostino M. Adjunctive use of olanzapine in the treatment of avoidant restrictive food intake disorder in children and adolescents in an eating disorders program. J Child Adolesc Psychopharmacol. 2017;27(10):920-922. doi: 10.1089/cap.2017.0133 [DOI] [PubMed] [Google Scholar]
  • 20.Gray E, Chen T, Menzel J, Schwartz T, Kaye WH. Mirtazapine and weight gain in avoidant and restrictive food intake disorder. J Am Acad Child Adolesc Psychiatry. 2018;57(4):288-289. doi: 10.1016/j.jaac.2018.01.011 [DOI] [PubMed] [Google Scholar]
  • 21.Bohon C. Binge eating disorder in children and adolescents. Child Adolesc Psychiatr Clin N Am. 2019;28(4):549-555. doi: 10.1016/j.chc.2019.05.003 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Moline R, Hou S, Chevrier J, Thomassin K. A systematic review of the effectiveness of behavioural treatments for pica in youths. Clin Psychol Psychother. 2021;28(1):39-55. doi: 10.1002/cpp.2491 [DOI] [PubMed] [Google Scholar]
  • 23.Absah I, Rishi A, Talley NJ, Katzka D, Halland M. Rumination syndrome: pathophysiology, diagnosis, and treatment. Neurogastroenterol Motil. 2017;29(4). doi: 10.1111/nmo.12954 [DOI] [PubMed] [Google Scholar]
  • 24.Reas DL, Rø Ø. Time trends in healthcare-detected incidence of anorexia nervosa and bulimia nervosa in the Norwegian National Patient Register (2010-2016). Int J Eat Disord. 2018;51(10):1144-1152. doi: 10.1002/eat.22949 [DOI] [PubMed] [Google Scholar]
  • 25.ICES . Working with ICES data. Accessed June 2, 2022. https://www.ices.on.ca/use-ices-data/working-with-ices-data/
  • 26.Statistics Canada . CMA and CA: detailed definition. Accessed June 2, 2022. https://www150.statcan.gc.ca/n1/pub/92-195-x/2011001/geo/cma-rmr/def-eng.htm
  • 27.American Psychiatric Association . Diagnostic and Statistical Manual of Mental Disorders. 4th ed. American Psychiatric Association; 1994. [Google Scholar]
  • 28.American Psychiatric Association . Diagnostic and Statistical Manual of Mental Disorders. 5th ed. American Psychiatric Association; 2013. [Google Scholar]
  • 29.Kurdyak P, de Oliveira C, Iwajomo T, Bondy S, Trottier K, Colton P. Identifying individuals with eating disorders using health administrative data. Can J Psychiatry. 2020;65(2):107-114. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Intellihealth . Welcome to Intellihealth. Accessed June 2, 2022. https://intellihealth.moh.gov.on.ca/
  • 31.Statistic Canada . Distributions of household economic accounts, number of households, by income quintile and by socio-demographic characteristic. Accessed June 2, 2022. https://www150.statcan.gc.ca/t1/tbl1/en/tv.action?pid=3610010101
  • 32.Austin P. Using the standardized difference to compare the prevalence of a binary variable between two groups in observational research. Commun Stat Simul Comput. 2009;38(6):1228-1234. doi: 10.1080/03610910902859574 [DOI] [Google Scholar]
  • 33.Micali N, Hagberg KW, Petersen I, Treasure JL. The incidence of eating disorders in the UK in 2000-2009: findings from the General Practice Research Database. BMJ Open. 2013;3(5):e002646. doi: 10.1136/bmjopen-2013-002646 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.MHAP Research Team . Mental Health and Addictions System Performance in Ontario: 2021 Scorecard. ICES; 2021. [Google Scholar]
  • 35.Gandhi S, Chiu M, Lam K, Cairney JC, Guttmann A, Kurdyak P. Mental health service use among children and youth in Ontario: population-based trends over time. Can J Psychiatry. 2016;61(2):119-124. doi: 10.1177/0706743715621254 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Chiu M, Gatov E, Fung K, Kurdyak P, Guttmann A. Deconstructing the rise in mental health-related ED visits among children and youth in Ontario, Canada. Health Aff (Millwood). 2020;39(10):1728-1736. doi: 10.1377/hlthaff.2020.00232 [DOI] [PubMed] [Google Scholar]
  • 37.Mental health and addictions—expanding supports for Ontarians. News release. Government of Ontario. January 25, 2017. Accessed November 1, 2023. https://news.ontario.ca/en/backgrounder/43466/mental-health-and-addictions-expanding-supports-for-ontarians
  • 38.Bryant-Waugh RJ, Lask BD, Shafran RL, Fosson AR. Do doctors recognise eating disorders in children? Arch Dis Child. 1992;67(1):103-105. doi: 10.1136/adc.67.1.103 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Räisänen U, Hunt K. The role of gendered constructions of eating disorders in delayed help-seeking in men: a qualitative interview study. BMJ Open. 2014;4(4):e004342. doi: 10.1136/bmjopen-2013-004342 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Dimitropoulos G, Lock JD, Agras WS, et al. Therapist adherence to family-based treatment for adolescents with anorexia nervosa: a multi-site exploratory study. Eur Eat Disord Rev. 2020;28(1):55-65. doi: 10.1002/erv.2695 [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplement 1.

eTable 1. Diagnostic Codes Used to Capture Pediatric Eating Disorder Hospitalizations

eTable 2. Classification of Co-Occurring Psychiatric Diagnostic Codes

eFigure 1. Flowchart of Inclusion and Exclusion Criteria

eFigure 2. Annual Frequencies of “Other” Eating Disorder Hospitalizations From 2002 to 2019

Supplement 2.

Data Sharing Statement


Articles from JAMA Network Open are provided here courtesy of American Medical Association

RESOURCES