4 The Impact of the COVID-19 Pandemic on Number and Severity of New Diagnoses of Restrictive Eating Disorders During Prolonged Lockdown in Ontario, Canada
Bibliographic record
Abstract
Abstract Background The coronavirus disease 2019 (COVID-19) pandemic has had a disproportionate impact on the well-being of adolescents and young adults. Worldwide, eating disorder (ED) experts have observed worsening symptoms in youth with pre-existing EDs and an escalation in the number of new cases compared to prior years. Disruption of routine, work and school closures, as well as social isolation are potential contributing factors. The Canadian province of Ontario (specifically the most highly populated cities) experienced one of the most prolonged lock downs worldwide with approximately 20 weeks of face-to-face school closure and/or restriction to virtual learning. Objectives We sought to better understand the impact of COVID-19 on new pediatric ED presentations, patient characteristics and hospital admissions in a tertiary care Children’s Hospital. Design/Methods We completed a retrospective chart review of patients presenting for new ED assessments at a single centre pediatric ED program within a tertiary care children’s hospital between January 1st, 2015 and June 1st 2021. Patients aged 9-18 years old with a new diagnosis of Anorexia Nervosa (AN) restrictive type or binge/purge type or Other Specified Feeding and Eating Disorder (OSFED) - Atypical Anorexia Nervosa (AAN) were included. Demographic and clinical variables for pre and post pandemic were analyzed using Chi-Square and T-Tests. Interrupted time series regression was used to examine pre-pandemic and post-pandemic monthly summary data over time. Results Overall, 425 youth were newly diagnosed with AN or AAN (N=329 pre-pandemic, N=96 pandemic) during the study period (Jan 1 2015 – December 31 2020). Average age was 14.7 years (SD 1.8, range 8.1 – 17.9). Most youth were diagnosed with DSM-5 AN-restrictive type (65.6%). The number of new diagnoses of AN and AAN during the pandemic more than doubled when compared to pre-pandemic years. In the 5-year period preceding the pandemic, mean number of newly diagnosed cases was 5.1/month (ßcoeff=0.043, p=0.33), increasing to 10.6/month (p=<0.001) during the pandemic and demonstrating an upward trend coinciding with onset of lockdown measures (ßcoeff=5.95, p<0.001). At the time of initial assessment, more youth presented with medical instability and increased illness severity. Hospitalization increased from an average of 2.2/month to 6.3/month (ßcoeff -0.008 vs. 3.23, p<0.0001). Average heart rate also decreased from 58.6 bpm (SD 16.6) pre-pandemic to 53.3 bpm (SD 16.3), p<0.008. Conclusion With this study, we found a significant increase in both new diagnoses and admissions for medical instability for AN and AAN among youth at our institution during the COVID-19 pandemic. Our study contributes to the growing body of global evidence tracking the unanticipated surge of eating disorder diagnoses and severity in already under-resourced health systems. It is unclear how long the effects of the pandemic may last. Further research is required to better understand the illness trajectory and treatment outcomes of pandemic-triggered EDs in adolescents.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".