Evidence map›Paper›PMID 40091812›Full record

ArticleInternational journal of qualitative studies on health and well-being2025

"

Erica Marie Kunz-Skrede, Marianne Molin, Miroslava Tokovska

Abstract read
In one paragraph

Article in International journal of qualitative studies on health and well-being, 2025. 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.

Erica Marie Kunz-SkredeDepartment of Health Sciences, School of Health Sciences, Kristiania University of Applied Sciences, Oslo, Norway.ORCID 0009-0005-9457-0550
Marianne MolinDepartment of Health Sciences, School of Health Sciences, Kristiania University of Applied Sciences, Oslo, Norway.ORCID 0000-0002-9425-2414
Miroslava TokovskaDepartment of Health Sciences, School of Health Sciences, Kristiania University of Applied Sciences, Oslo, Norway.ORCID 0000-0002-8279-3168

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposeLoneliness, social isolation, and lack of social belonging are factors that may negatively impact the mental health and well-being of PhD candidates. This study aims to advance understanding of the function of social activities in their role as interventions that foster social belonging and well-being among PhD candidates.

methodsAfter collecting observational data from the well-being interventions, 10 PhD candidates were interviewed to explore how they perceived their participation in social activities on campus and how it affected their sense of social belonging.

resultsOur results show that participating in social activities was beneficial for PhD candidates on both a personal and professional level, potentially leading to an increased sense of community and well-being, along with increased social interaction, networking, and collaboration. PhD candidates' well-being was found to be linked to social capital in the forms of social belonging and social support.

conclusionOrganizing social activities tailored to PhD candidates' needs may help increase their sense of well-being by generating social capital, which could benefit PhD candida nationally and worldwide.

Indexed as

Education, GraduateLonelinessMental HealthSocial InteractionSocial IsolationSocial SupportAdultFemaleHumansMaleNorwayQualitative ResearchSocial CapitalUniversitiesPhD candidatessocial belongingsocial capitalsocial supportwell-being

Identifiers

PMID40091812
PMCPMC11915731

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.