Evidence map›Paper›PMID 42721296›Full record

ArticleHealth education research2026

A content analysis of the characteristics of the popular mental health podcasts.

R W Romy, Regina A A Alcántara, Malee Bedolla

Abstract read
In one paragraph

Article in Health education research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

R W RomyLoyola Marymount University, Foley Hall 327, Loyola Marymount University, Los Angeles, 90045, California.ORCID 0000-0002-7732-4455
Regina A A AlcántaraLoyola Marymount University, Foley Hall 327, Loyola Marymount University, Los Angeles, 90045, California.
Malee BedollaLoyola Marymount University, Foley Hall 327, Loyola Marymount University, Los Angeles, 90045, California.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mental health challenges continue to rise in the United States, yet access to treatment remains limited. Podcasts have become an important channel for disseminating mental health information and improving mental health. Despite the proliferation of mental health podcasts, little is known about the characteristics that make certain podcasts especially popular. To address this gap, the present study conducted a comprehensive content analysis of the top 100 mental health podcasts listed in the Apple Podcasts app and guided by the PodCred Framework. Three trained coders analyzed 100 mental health podcasts. Findings revealed consistent patterns among top-ranked podcasts. Most of them maintained a strong topical focus, consistent structure, and conversational delivery style, with episodes averaging 30-60 minutes. Podcasters frequently shared personal experiences, displayed emotional expressiveness, and demonstrated professional credibility through credentials and affiliations. Content typically combined recommendations, factual information, and personal discussion, supported by high production quality and predictable release schedules. Overall, the results extend the PodCred Framework to the mental health domain and highlight key features that appear to attract and sustain listeners. These insights offer practical guidance for podcast creators and contribute to emerging scholarship on digital mental health communication.

Indexed as

Mental HealthWebcasts as TopicDigital MediaHumansUnited Statesmental healthPodcastsPodCred Framework

Identifiers

PMID42721296
PMCPMC13561107

What Socratic holds

Textmetadata
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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 Socratic graph.