Evidence map›Paper›PMID 39228920›Full record

ArticleFrontiers in psychiatry2024

Co-occurring autism, ADHD, and gender dysphoria in children, adolescents, and young adults with eating disorders: an examination of pre- vs. post-COVID pandemic outbreak trends with real-time electronic health record data.

Tashalee R Brown, Madeline O Jansen, A Ning Zhou, Dominic Moog, Hui Xie, Katherine V Liebesny, Kevin Y Xu, Binx Y Lin, Wisteria Y Deng

Abstract read
In one paragraph

Article in Frontiers in psychiatry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Observational
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Tashalee R Brown *Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at University of California-Los Angeles (UCLA), Los Angeles, CA, United States.
Madeline O Jansen *Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at University of California-Los Angeles (UCLA), Los Angeles, CA, United States.
A Ning ZhouSan Francisco Department of Public Health, San Francisco, CA, United States.
Dominic MoogWashington University School of Medicine, St. Louis, MO, United States.
Hui XieZilber School of Public Health, University of Wisconsin-Milwaukee, Milwaukee, WI, United States.
Katherine V LiebesnyDepartment of Psychiatry and Behavioral Medicine, Carilion Clinic - Virginia Tech Carilion School of Medicine, Roanoke, VA, United States.
Kevin Y XuSchool of Medicine, Washington University in St. Louis, St. Louis, MO, United States.
Binx Y Lin *Department of Psychiatry and Behavioral Sciences, University of California, San Francisco, CA, United States.
Wisteria Y Deng *Department of Psychology, Yale University, New Haven, CT, United States.

Funding

TRAINING THE SCIENCE OF CHILD MENTAL HEALTH TREATMENTT32MH073517 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI SUMA JACOB, John C. Piacentini · 2006 to 2026
$5.2M
Washington University Career Development Program in Drug Abuse and AddictionK12DA041449 · NIDA · WASHINGTON UNIVERSITY · PI Laura J. Bierut, Patricia A Cavazos-Rehg · 2017 to 2026
$4.2M
NIDA NIH HHS K12 DA041449NIMH NIH HHS T32 MH073517
6 · The paper itself

Abstract

Background: Incidence rates of autism, attention-deficit/hyperactivity disorder (ADHD), and gender dysphoria (GD) are rising not only in the general population, but particularly among children, adolescents, and young adults with eating disorders (EDs). While ED rates have risen during the COVID pandemic, trends in co-occurring autism, ADHD, and GD have yet to be investigated in detail or at scale by way of large electronic medical record data. Objectives: To investigate trends in rates of co-occurring autism, ADHD, and GD among children, adolescents, and young adults with EDs in years prior to and during the COVID-19 pandemic. Methods: We utilized a de-identified multinational electronic health records database (TriNetX) with 48,558 individuals aged 5-26 diagnosed with eating disorders (EDs) at least twice between 2017 and 2022. The primary predictor variable differentiated between the years of each person's index (first) ED diagnosis (2017-2019 vs. 2020-2022). The primary outcome variable was the rate of new co-occurring psychiatric diagnoses of autism, ADHD, and GD in the year following each patient's first ED diagnosis. We applied propensity score-matched multivariable logistic regressions to compare primary outcomes between 2017-2019 and 2020-2022. Results: Our analysis included 17,445 individuals diagnosed with EDs in 2017-2019 (8% autism, 13.5% ADHD, 1.9% GD) and 31,113 diagnosed with EDs in 2020-2022 (8% autism, 14.6% ADHD, 3.2% GD). After 1:1 propensity score matching, 17,202 individuals from the 2017-2019 cohort were matched to peers mirroring the 2020-2022 cohort. Those diagnosed in 2020-2022 showed a 19% (aOR[95%CI]=1.19[1.07-1.33]), 25% (aOR=1.25[1.04-1.49]), and 36% (aOR=1.36[1.07-1.74]) increase in odds for autism, ADHD, and GD diagnoses, respectively, within the 365 days after the index EDs diagnosis, compared to the 2017-2019 cohort. Discussion: Rates of autism, ADHD, and GD are significantly higher in individuals with ED in the post-pandemic 2020-2022 cohort in comparison to the pre-pandemic 2017-2019 cohort, even after controlling for baseline levels of co-occurring psychiatric diagnoses. Such findings reveal a critical gap in our current understanding of the totality of ways in which COVID-19 may have impacted the onset and clinical course of EDs, autism, ADHD, and GD among children, adolescents, and young adults.

Indexed as

ADHDadolescent and young adultautismchildreneating disordergender dysphoriareal-world data

Identifiers

PMID39228920
PMCPMC11370642

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.