Evidence map›Paper›PMID 37992854›Full record

ArticleJournal of the American Academy of Child and Adolescent Psychiatry2024

Exploring Demographic and Clinical Characteristics of Racially and Ethnically Diverse Youth With Eating Disorders Using California Medicaid Claims Data.

Erin C Accurso, Kate Duggento Cordell, Joseph Guydish, Lonnie R Snowden

Open access · hybridAbstract read
In one paragraph

Article in Journal of the American Academy of Child and Adolescent Psychiatry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
3.1field-weighted citation impact, top 8% of its field
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

6 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
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  5. Characterizing Medical Complications in Publicly Insured Youth With Eating Disorders.The Journal of adolescent health : official publication of the Society for Adolescent Medicine · 2024
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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

4 authors at 3 institutions in 1 country.

Erin C AccursoUniversity of California, San Francisco, San Francisco. Electronic address: erin.accurso@ucsf.edu.
Kate Duggento CordellOpeeka, Folsom, California; Center for Innovation in Population Health, University of Kentucky, Lexington, Kentucky; Social Policy Institute, San Diego State University, San Diego, California.
Joseph GuydishPhilip R. Lee Institute for Health Policy Studies, University of California, San Francisco, San Francisco.
Lonnie R SnowdenSchool of Public Health, University of California, Berkeley.
University of Kentucky · USUniversity of California, Berkeley · USUniversity of California, San Francisco · US

Funding

Adapting and Implementing Family-Based Treatment for Youth with Anorexia Nervosa in Publicly-Funded SettingsK23MH120347 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ACCURSO, ERIN CECILIA · 2019 to 2023
$846k
NIMH NIH HHS K23 MH120347
6 · The paper itself

Abstract

objectiveTo explore the scope of diagnosed eating disorders among Medicaid-insured youth in California, and to describe the demographic characteristics of this population in a repeated annual cross-sectional study design.

methodCalifornia Medicaid claims data were extracted for youth aged 7 to 18 years between January 2014 and December 2016. Participants included all youth who received an eating disorder diagnosis at any point in the study period (N = 8,075). Additional analyses compared youth with eating disorders who were continuously enrolled across all 3 years (n = 4,500) to random subsamples of continuously enrolled youth diagnosed with a mood or anxiety disorder (n = 4,128), a disruptive behavior disorder (n = 4,599), or a psychotic disorder (n = 4,290).

resultsAbout one-half of youth with eating disorders were Latinx (58.5%, n = 2,634) and indicated Spanish as their preferred language (48.9%, n = 2,199). About one-half (51%, n = 2,301) of eating disorder diagnoses were unspecified. Latinx ethnicity and Spanish language were significantly more frequent among youth with eating disorders than among those with other disorders (F

conclusionThe first examination of publicly insured youth with eating disorders revealed a highly diverse group of individuals among whom Latinx youth were particularly prevalent. However, past-year national prevalence estimates suggest that most eating disorder cases were undiagnosed. PLAIN LANGUAGE SUMMARY: Eating disorders affect approximately 10% of the US population and lead to serious mental health and medical problems. This study used California Medicaid claims data from 2014 to 2016 to characterize the population of youth aged 7 to 18 years with diagnosed with an eating disorder (N = 8,075). The authors found the prevalence of eating disorders among youth aged 13 to 18 years was about 0.20% across all 3 years of the study, which is far below the expected prevalence and suggests that most eating disorders in youth go undiagnosed. About half of eating disorder diagnoses provided to youth with Medicaid insurance are unspecified, which may hinder receipt of appropriate treatment. Of youth with an eating disorder, about half were Latinx and reported Spanish as their preferred language. The authors also found differences in the prevalences of eating disorder diagnoses when analyzing youth by age, sex, and ethnicity. These results suggest that more standardized screening and assessment is needed to improve eating disorders detection and diagnosis, particularly for minoritized youth.

Indexed as

Feeding and Eating DisordersMedicaidAdolescentAnxiety DisordersAttention Deficit and Disruptive Behavior DisordersCaliforniaChildCross-Sectional StudiesEthnicityFemaleHispanic or LatinoHumansMaleMood DisordersPsychotic DisordersUnited Statesdemographyeating disordershealth disparitiesMedicaidrace

Identifiers

PMID37992854
PMCPMC11627459
OpenAlexW4388812844

What OpenQuestion holds

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Registered trials

None linked

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.