Evidence map›Paper›PMID 42056935›Full record

ArticleBMC public health2026

Reducing loneliness and promoting mental well-being among migrants and asylum seekers through social mentoring in Spain: insights from a qualitative study.

Eila Prats-Brugat, Xavier Alarcón, Òscar Prieto-Flores

Abstract read
In one paragraph

Article in BMC public health, 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.

Eila Prats-BrugatUniversity of Girona, Girona, Spain. eila.prats@udg.edu.
Xavier AlarcónUniversity of Girona, Girona, Spain.
Òscar Prieto-FloresUniversity of Girona, Girona, Spain.

Funding

Fundación Bancaria Caixa d'Estalvis i Pensions de Barcelona CX22-00024
6 · The paper itself

Abstract

The settlement and social inclusion of refugees and migrants have become critical public health challenges in Europe over the past decade. Limited support networks and cumulative stressors significantly increase experiences of loneliness and social isolation -key risk factors for poor mental health. This study explores the role of social mentoring as a protective mechanism that fosters trust, expands supportive networks, and mitigates perceived loneliness among recently arrived migrants and asylum seekers in Spain. Participants engaged in one of three mentoring programs with common objectives. A qualitative, two-round study was conducted, involving 15 focus group discussions with both mentors and mentees. Findings reveal that while structural barriers intensify social isolation and negatively impact well-being, mentoring relationships consistently offer companionship, emotional validation, practical guidance, and connections to local communities. These interpersonal ties enhance perceived social support and cultivate a sense of belonging, helping to buffer the psychological impact of discrimination, displacement, and uncertainty. The study concludes that mentoring holds considerable promise as a preventive, community-based intervention to support migrant mental health. Nonetheless, it emphasizes that mentoring alone cannot address the broader structural inequalities affecting refugee and migrant populations. Implications for policy and practice are discussed.

Indexed as

LonelinessMental HealthMentoringRefugeesTransients and MigrantsAdultFemaleFocus GroupsHumansMaleMiddle AgedPsychological Well-BeingQualitative ResearchSocial SupportSpainAsylum seekersLonelinessMental healthMigrant peopleSocial mentoring

Identifiers

PMID42056935
PMCPMC13274238

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.