Evidence map›Paper›PMID 42027952›Full record

ArticleJournal of mood and anxiety disorders2026

Network analyses of discrete emotions and social connectedness indicators in anxiety and depressive disorders.

Ryan C Shriver, Madeleine Rassaby, Amanda C Collins, Charles T Taylor

Abstract read
In one paragraph

Article in Journal of mood and anxiety disorders, 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

4 authors.

Ryan C ShriverDepartment of Psychiatry, University of California San Diego, 9500 Gilman Drive, La Jolla, CA 92093, United States.
Madeleine RassabyDepartment of Psychiatry, University of California San Diego, 9500 Gilman Drive, La Jolla, CA 92093, United States.
Amanda C CollinsDepartment of Psychiatry, Massachusetts General Hospital, Boston, MA 02114, United States.
Charles T TaylorDepartment of Psychiatry, University of California San Diego, 9500 Gilman Drive, La Jolla, CA 92093, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Low positive affect (PA) and high negative affect (NA) are common features of depressive and anxiety disorders that have been linked to social disconnection. Prior research, however, has examined PA, NA, and social connectedness as global dimensions rather than as systems of interacting discrete emotions and connectedness indicators. This study used network analysis to: (a) examine interrelationships among discrete emotions to identify potentially influential emotions within and across positive and negative emotion communities, and (b) determine which emotions are most strongly linked to indicators of perceived social connection or disconnection. Data were derived from 359 adults with clinically elevated anxiety or depression who completed measures of discrete emotions and social connectedness. We estimated three networks: Model 1 examined associations among positive and negative emotions; Model 2 examined associations among discrete emotions and indicators of social connection; and Model 3 examined associations among discrete emotions and indicators of social disconnection. Model 1 revealed that

Indexed as

AnxietyDepressionNegative affectNetwork analysisPositive affectSocial connectedness

Identifiers

PMID42027952
PMCPMC13101674

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.