A Systematic Review and Meta-Analysis: Child and Adolescent Healthcare Utilization for Eating Disorders During the COVID-19 Pandemic
Bibliographic record
Abstract
OBJECTIVE: To conduct a meta-analysis documenting healthcare service utilization rates for pediatric (age <19 years) eating disorders during compared to before the COVID-19 pandemic. METHOD: PsycINFO, MEDLINE, Embase, and Web of Science Core Collection were searched for studies published up to May 19, 2023. Studies with pediatric visits to primary care, inpatient, outpatient, and emergency department for eating disorders before and during the pandemic were included. This preregistered review (PROSPERO CRD42023413392) was reported using PRISMA guidelines. Data were analyzed with random-effects meta-analyses. RESULTS: A total of 52 studies reporting >148,000 child and adolescent eating disorder-related visits to >300 health settings across 15 countries were included (mean age, 12.7 years; SD = 4.1 years; 87% girls). There was strong evidence of an increase in healthcare use for eating disorders during the pandemic (rate ratio [RR] = 1.54, 95% CI = 1.38-1.71). Moderator analysis revealed larger rate increases among girls (RR = 1.48, 95% CI = 1.28-1.71) compared to boys (RR = 1.24, 95% CI = 1.06-1.45) and for adolescents (age ≥12 to 19 years) (RR = 1.53, 95% CI = 1.29-1.81) compared to children (RR = 0.87, 95% CI = 0.53-1.43). Moderator analysis demonstrated strong evidence of increased use of emergency department (RR = 1.70, 95% CI = 1.48-1.97), inpatient (RR = 1.56, 95% CI = 1.33-1.84), and outpatient (RR = 1.62, 95% CI = 1.35-1.95) services, as well as strong evidence of increased rates of anorexia nervosa (RR = 1.48, 95% CI = 1.24-1.75). CONCLUSION: Healthcare use for pediatric eating disorders increased substantially during the COVID-19 pandemic, particularly among girls and adolescents. It is important to continue to monitor whether changes in healthcare use associated with acute pediatric mental distress are sustained beyond the COVID-19 pandemic. PLAIN LANGUAGE SUMMARY: In this study, the authors analyzed data from 52 studies from 15 countries and found a significant increase in healthcare utilization for eating disorders during the COVID-19 pandemic. The study findings suggest a larger rate increase among adolescents as compared to children, in girls versus boys, and for anorexia nervosa in particular. Results also indicate increased use of emergency department, inpatient and outpatient services for eating disorders during the pandemic. STUDY PREREGISTRATION INFORMATION: Risk factors for eating disorders for youth during the COVID-19 pandemic; https://www.crd.york.ac.uk/; CRD42023413392. DIVERSITY & INCLUSION STATEMENT: One or more of the authors of this paper self-identifies as a member of one or more historically underrepresented racial and/or ethnic groups in science. One or more of the authors of this paper self-identifies as living with a disability. We actively worked to promote sex and gender balance in our author group. We actively worked to promote inclusion of historically underrepresented racial and/or ethnic groups in science in our author group. While citing references scientifically relevant for this work, we also actively worked to promote sex and gender balance in our reference list. While citing references scientifically relevant for this work, we also actively worked to promote inclusion of historically underrepresented racial and/or ethnic groups in science in our reference list. The author list of this paper includes contributors from the location and/or community where the research was conducted who participated in the data collection, design, analysis, and/or interpretation of the work. One or more of the authors of this paper self-identifies as a member of one or more historically underrepresented sexual and/or gender groups in science.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.028 | 0.065 |
| Meta-epidemiology (narrow) | 0.004 | 0.002 |
| Meta-epidemiology (broad) | 0.026 | 0.063 |
| Bibliometrics | 0.009 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".