Evidence map›Paper›PMID 41955613›Full record

ArticleJMIR infodemiology2026

Evaluating Public Sentiment on Attention-Deficit/Hyperactivity Disorder and Autism Spectrum Disorder Compared With Other Mental Health Disorders From Posts on X (Formerly Known as Twitter): Longitudinal Analysis.

Vitor Tiosso Batistetti, Facundo G Sanchez, Andrea Varaona, Francisco Lara-Abelenda, Mariana Pinto da Costa, Juan Pablo Chart-Pascual, Alberto Rodriguez-Quiroga, Javier Quintero, Miguel Angel Alvarez-Mon

Abstract read
In one paragraph

Article in JMIR infodemiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Vitor Tiosso Batistetti *Universidad Abierta Interamericana, Buenos Aires, Argentina.ORCID 0000-0001-8722-7360
Facundo G Sanchez *Department of Psychiatry, Lincoln Medical Center, New York, NY, United States.ORCID 0000-0003-4474-1241
Andrea VaraonaDepartment of Medicine and Medical Specialties, Faculty of Medicine and Health Sciences, University of Alcala, Alcalá de Henares, Spain.ORCID 0009-0000-6988-4244
Francisco Lara-AbelendaDepartment of Signal Theory and Communications, Rey Juan Carlos University, Fuenlabrada, Spain.ORCID 0000-0001-5565-8203
Mariana Pinto da CostaSouth London and Maudsley NHS Foundation Trust, London, United Kingdom.ORCID 0000-0002-5966-5723
Juan Pablo Chart-PascualDepartment of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom.ORCID 0000-0001-5820-0484
Alberto Rodriguez-QuirogaDepartment of Psychiatry and Mental Health, Hospital Universitario Infanta Leonor, Madrid, Spain.ORCID 0000-0002-2727-6088
Javier Quintero *Department of Psychiatry and Mental Health, Hospital Universitario Infanta Leonor, Madrid, Spain.ORCID 0000-0002-2491-8647
Miguel Angel Alvarez-Mon *Department of Psychiatry and Mental Health, Hospital Universitario Infanta Leonor, Madrid, Spain.ORCID 0000-0002-1987-0394

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNeurodevelopmental disorders, especially attention-deficit/hyperactivity disorder (ADHD) and autism spectrum disorder (ASD), have seen a marked rise in public attention, yet research on public opinion remains limited. Social media analysis offers real-time, unfiltered insights into public perceptions, enabling empirical examination of public attitudes and opinions.

objectiveThis study aimed to assess the evolution of public opinion on ADHD and ASD between 2009 and 2023 by analyzing posts from X (formerly known as Twitter; X Corp), comparing perceptions across English and Spanish languages and against other mental health conditions.

methodsPosts mentioning keywords related to ADHD and ASD and control conditions (eg, depression, anxiety, insomnia, bipolar disorder, schizophrenia, suicide, and substance use disorders) were collected from X between 2009 and 2023. The dataset included posts in both English and Spanish. Machine learning algorithms were then applied to classify post content into predefined categories, including volume of posts, engagement, personal experiences, trivialization, perceived causes, and perceived treatability. Parametric and nonparametric tests were used to assess for differences by language. Descriptive statistics were presented using tables and graphical representations.

resultsA total of 852,990 posts were analyzed, including 511,510 (59.97%) in English and 341,480 (40.03%) in Spanish. Overall, post volume on mental health conditions increased across the study period. In English, posts about ADHD (97,084/511,510, 18.98%) and ASD (74,619/511,510, 14.59%) were among the most frequent, while of the 341,480 Spanish posts, there were 49,475 (14.49%) ASD posts, significantly outnumbering ADHD posts (n=18,223, 5.34%; chi-square test P<.001). Engagement analysis indicated a notable increase in likes and reposts per post over time, particularly after 2019, with ADHD-related posts in English experiencing peak engagement during the COVID-19 pandemic. However, ASD posts had comparatively lower engagement across languages. Posts sharing personal experiences were more polarized in Spanish, with higher proportions of negative and positive experiences compared with English posts. Trivialization of mental illnesses was less common in Spanish posts than in English posts, particularly for ADHD (17,053/18,223, 93.59%; chi-square test P<.001) and ASD (41,933/49,475, 84.73%; chi-square test P<.001). User-perceived causes included multifactorial factors, biological or genetic factors, substance use, psychological susceptibility, acute psychosocial stressors, and COVID-19. Perceived treatability varied by language but consistently included high perceived incurability, limited improvement despite professional help, and low perceived self-manageability except for anxiety.

conclusionsAnalysis of social media discourse showed that ADHD attracted higher post volumes, particularly during the COVID-19 pandemic, often described with multifactorial causes including substance use and genetics. ASD consistently received lower engagement. Both language groups showed low trivialization, awareness of the chronicity of the illness, and limited support for the self-management of mental health conditions. These findings underscore social media's value for capturing direct public perceptions to guide future educational and intervention efforts.

Indexed as

Attention Deficit Disorder with HyperactivityAutism Spectrum DisorderMental DisordersPublic OpinionSocial MediaHumansLongitudinal Studiescross-cultural comparisonEnglish and Spanish analysismental healthneurodevelopmental disorderspublic opinionsocial mediatrivializationTwitter, X

Identifiers

PMID41955613
PMCPMC13107104

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.