Evidence map›Paper›PMID 34838604›Full record

ArticleJournal of affective disorders2022

Mood and anxiety profiles differentially associate with physical conditions in US adolescents.

Emma K Stapp, Diana Paksarian, Jian-Ping He, Jennifer Glaus, Kevin P Conway, Kathleen R Merikangas

Open access · greenAbstract read
In one paragraph

Article in Journal of affective disorders, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.7field-weighted citation impact, top 25% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

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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

6 authors at 1 institution in 2 countries.

Emma K StappGenetic Epidemiology Branch, Intramural Research Program, National Institute of Mental Health, Bethesda, MD, USA.
Diana PaksarianGenetic Epidemiology Branch, Intramural Research Program, National Institute of Mental Health, Bethesda, MD, USA.
Jian-Ping HeGenetic Epidemiology Branch, Intramural Research Program, National Institute of Mental Health, Bethesda, MD, USA.
Jennifer GlausGenetic Epidemiology Branch, Intramural Research Program, National Institute of Mental Health, Bethesda, MD, USA; Division of Child and Adolescent Psychiatry, Department of Psychiatry, Lausanne University Hospital, Lausanne, Switzerland.
Kevin P ConwayGenetic Epidemiology Branch, Intramural Research Program, National Institute of Mental Health, Bethesda, MD, USA.
Kathleen R MerikangasGenetic Epidemiology Branch, Intramural Research Program, National Institute of Mental Health, Bethesda, MD, USA. Electronic address: kathleen.merikangas@nih.gov.
National Institute of Mental Health · US

Funding

EPIDEMIOLOGY-- NATIONAL COMORBIDITY SURVEY REPLICATIONU01MH060220 · NIMH · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI KESSLER, RONALD C · 1999 to 2010
$18.7M
Population-Based Epidemiologic ResearchZIAMH002953 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI MERIKANGAS, KATHLEEN R · 2016 to 2025
$7.0M
National Comorbidity Survey - Adolescent (NCS-A)ZIAMH002808 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI MERIKANGAS, KATHLEEN R · 2009 to 2015
$3.2M
CROSS-NATIONAL STUDIES OF DRUG INVOLVEMENT: WMH2000R01DA016558 · NIDA · MICHIGAN STATE UNIVERSITY · PI ANTHONY, JAMES CHRISTOPHER · 2003 to 2008
$1.7M
Intramural NIH HHS ZIA MH002808Intramural NIH HHS ZIA MH002953NIDA NIH HHS R01 DA016558NIMH NIH HHS U01 MH060220
6 · The paper itself

Abstract

backgroundMood and anxiety are widely associated with physical conditions, but research and treatment are complicated by their overlap, clinical heterogeneity, and manifestation on a spectrum rather than as discrete disorders. In contrast to previous work relying on threshold-level disorders, we examined the association between empirically-derived profiles of mood and anxiety syndromes with physical conditions in a nationally-representative sample of US adolescents.

methodsParticipants were 2,911 adolescents (aged 13-18) from the National Comorbidity Survey-Adolescent Supplement who provided information on physical conditions and reported at least one lifetime mood-anxiety 'syndrome' based on direct interviews with the Composite International Diagnostic Interview Version 3.0. Mood-anxiety syndromes reflected 3-level ratings from subthreshold to severe distress/impairment, and subtyped mood episodes. Stepwise latent profile analysis identified mood-anxiety profiles and tested associations with physical conditions.

resultsThree mood-anxiety profiles were identified: "Mood-GAD" (25.6%)-non-atypical depression, mania, generalized anxiety; "Atypical-Panic" (11.3%)-atypical depression, panic; and "Reference" (63.1%)-lower mood and anxiety except specific phobia. Headaches were more prevalent in Mood-GAD and Atypical-Panic than Reference (47.9%, 50.1%, and 37.7%, respectively; p=0.011). Heart problems were more common in Mood-GAD than Atypical-Panic (7.4% v 2.2%, p=0.004) and Reference, with back/neck pain more prevalent in Mood-GAD than Reference (22.5% v 15.3%, p=0.016). LIMITATIONS: Broad categories of physical conditions without information on specific diagnoses; replication regarding specificity is recommended.

conclusionsHeart problems and pain-related conditions were differentially associated with specific mood-anxiety profiles. Subtyping depression and anxiety-inclusive of subthreshold syndromes-and their patterns of clustering may facilitate etiologic and intervention work in multimorbidity.

Indexed as

Anxiety DisordersPhobic DisordersAdolescentAnxietyComorbidityHumansPanicPrevalenceAnxiety disordersChronic painHeadacheHeart diseasesMood disorders

Identifiers

PMID34838604
PMCPMC10284074
OpenAlexW3216051135

What OpenQuestion 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 OpenQuestion graph.