Evidence map›Paper›PMID 37623204›Full record

ArticleInternational journal of environmental research and public health2023

Fell on Black Days: Analyzing the Song Lyrics of Chris Cornell for Insight into Depression and Suicide.

Kevin P Conway, Patrick McGrain, Michelle Theodory

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2023. 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
0.7field-weighted citation impact, top 28% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

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 at 3 institutions in 1 country.

Kevin P ConwayGenetic Epidemiology Research Branch, National Institute of Mental Health, Bethesda, MD 20892, USA.ORCID 0000-0002-7638-339X
Patrick McGrainDepartment of Criminal Justice, Gwynedd Mercy University, Gwynedd Valley, PA 19437, USA.
Michelle TheodoryDepartment of Biomedical Informatics, Harvard University, Boston, MA 02115, USA.
Gwynedd Mercy University · USHarvard University · USNational Institute of Mental Health · US

Funding

Population-Based Epidemiologic ResearchZIAMH002953 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI MERIKANGAS, KATHLEEN R · 2016 to 2025
$7.0M
Intramural NIH HHS ZIA MH002953
6 · The paper itself

Abstract

Chris Cornell was a guitarist, singer, songwriter, and pioneer of grunge music. Cornell struggled with mental illness and addiction and incorporated these themes into his song lyrics. At age 52, Cornell died by suicide in his hotel bathroom following a live performance. This mixed-methods study examines Cornell's song lyrics for references to negative words and themes related to depression and suicide. Two coders independently reviewed lyrical transcripts to identify the primary theme, secondary theme(s), and valence (positive or negative). Sentiment analysis, a natural language processing technique, was used to examine word frequency and valence. Songs (N = 215) were predominantly (79%) negative and contained more negative (N = 3244, 56.1%) than positive (N = 2537, 43.9%) words. Thematic analysis by stage of career shows a narrowing focus on depression, failed relationships, and morbid thoughts. Themes of depressed mood, death, and suicide were common and increased by stage of career. By applying qualitative and quantitative techniques to song lyrics, this study revealed that Cornell's songs reflect a narrative of negativity consistent with someone experiencing depression and thoughts of death and suicide. Like personal notes and poems, song lyrics may reflect symptoms of depression and suicidal thoughts warranting clinical attention.

Indexed as

Behavior, AddictiveMental DisordersSuicideDepressionHumansMiddle AgedSuicidal Ideationaddictiondepressive disordernatural language processingqualitative analysissuicide

Identifiers

PMID37623204
PMCPMC10454542
OpenAlexW4386027191

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.