Evidence map›Paper›PMID 37946186›Full record

SynthesisBMC public health2023

What works in interventions targeting loneliness: a systematic review of intervention characteristics.

N Morrish, S Choudhury, A Medina-Lara

Abstract readSystematic Review
In one paragraph

Synthesis in BMC public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 8 pooled it
–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

33 citing papers in PubMed, 8 syntheses or guidelines pooled it.

  1. Systematic Review of Loneliness and Social Isolation Interventions in Obesity and Obesity-Related Complications.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2026
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  6. [Internet-based self-help for loneliness-a systematic review].Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz · 2024
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  15. Loneliness in schizophrenia: Just loneliness.Annals of the New York Academy of Sciences · 2025
    Review
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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

3 authors.

N MorrishPublic Health Economics Group, Department of Public Health and Sport Sciences, Faculty of Health and Life Sciences, University of Exeter, South Cloisters, St Luke's Campus, Magdalen Road, Exeter, EX1 2LU, UK. n.g.morrish@exeter.ac.uk.ORCID 0000-0002-7206-4957
S ChoudhuryPublic Health Economics Group, Department of Public Health and Sport Sciences, Faculty of Health and Life Sciences, University of Exeter, South Cloisters, St Luke's Campus, Magdalen Road, Exeter, EX1 2LU, UK.
A Medina-LaraPublic Health Economics Group, Department of Public Health and Sport Sciences, Faculty of Health and Life Sciences, University of Exeter, South Cloisters, St Luke's Campus, Magdalen Road, Exeter, EX1 2LU, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLoneliness has been linked to negative health and economic outcomes across the life course. Health effects span both physical and mental health outcomes, including negative health behaviours, lower well-being, and increased mortality. Loneliness is however preventable with effective intervention. This systematic review aims to identify what has worked in interventions for loneliness to guide the development of future interventions.

methodsEight electronic databases (Medline, Embase, PsycINFO, Social Policy and Practice, Social Sciences Citation Index, Epistemonikos, CINAHL, Cochrane Library) were systematically searched from inception to February 2022 using terms for intervention and loneliness to identify relevant interventions in the general population. No restrictions on age, socio-economic status, or geographic location were imposed. Studies were to measure loneliness as the primary outcome through a validated scale or single-item question. Case studies were excluded. Additional studies were identified through citation chasing. Extracted data included study and intervention characteristics, and intervention effectiveness for cross-study comparison. Critical appraisal was conducted using the Joanna Briggs Institute and Critical Appraisal Skills Programme tools before the studies were summarised in a narrative synthesis.

resultsSearches identified 4,734 hits, from which 22 studies were included in this review. Of these studies, 14 were effective in reducing loneliness. Additionally, five studies presented unclear findings, and three concluded no decrease in loneliness. Interventions varied between group vs. individual format, online vs. in person delivery, and regarding both intervention duration and individual session length. Furthermore, this review highlighted five key areas when considering designing an intervention for loneliness: use of between session interaction, inclusion of clear learning mechanisms, role of active participation, number of opportunities for group or facilitator interaction, and variation in teaching and learning styles.

conclusionsGroup sessions seem preferred to individual formats, and interaction through active participation and group or facilitator contact appear beneficial, however studies also recognised the importance of a person-tailored approach to delivery. Studies suggest there is no 'quick fix' to loneliness, but that learnt practices, behaviours, and community connection should be built into one's lifestyle to achieve sustained intervention effectiveness. Future interventions should consider longer follow-up periods, male and populations with lower educational levels.

Indexed as

LonelinessHumansEffective interventionIntervention developmentLonelinessSystematic review

Identifiers

PMID37946186
PMCPMC10636966

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.