Evidence map›Paper›PMID 33096330›Full record

ArticleJournal of affective disorders2021

Living alone, loneliness and lack of emotional support as predictors of suicide and self-harm: A nine-year follow up of the UK Biobank cohort.

Richard J Shaw, Breda Cullen, Nicholas Graham, Donald M Lyall, Daniel Mackay, Chukwudi Okolie, Robert Pearsall, Joey Ward, Ann John, Daniel J Smith

Open access · hybridAbstract read
In one paragraph

Article in Journal of affective disorders, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 72 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
72citing papers in PubMed, 7 pooled it
8.0field-weighted citation impact, top 2% 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

72 citing papers in PubMed, 7 syntheses or guidelines pooled it, 140 citations in OpenAlex.

  1. Pooled it
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  6. Loneliness and the onset of new mental health problems in the general population.Social psychiatry and psychiatric epidemiology · 2022
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  8. Trial
  9. Article
  10. Observational
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  12. Loneliness, affectivity and psychological distress in people living alone during the COVID-19 pandemic: a cluster analysis.Psicologia, reflexao e critica : revista semestral do Departamento de Psicologia da UFRGS · 2026
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  17. Individual- and population-level associations of mental disorders with intentional self-harm.European psychiatry : the journal of the Association of European Psychiatrists · 2026
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12 more citing papers are in PubMed but not listed here.

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

10 authors at 2 institutions in 1 country.

Richard J ShawInstitute of Health and Wellbeing, University of Glasgow, United Kingdom. Electronic address: Richard.Shaw@glasgow.ac.uk.
Breda CullenInstitute of Health and Wellbeing, University of Glasgow, United Kingdom.
Nicholas GrahamInstitute of Health and Wellbeing, University of Glasgow, United Kingdom.
Donald M LyallInstitute of Health and Wellbeing, University of Glasgow, United Kingdom.
Daniel MackayInstitute of Health and Wellbeing, University of Glasgow, United Kingdom.
Chukwudi OkolieInstitute of Life Sciences, Medical School, Swansea University, Swansea, United Kingdom.
Robert PearsallInstitute of Health and Wellbeing, University of Glasgow, United Kingdom; Department of Psychiatry, Monklands Hospital, Airdrie, United Kingdom.
Joey WardInstitute of Health and Wellbeing, University of Glasgow, United Kingdom.
Ann JohnInstitute of Life Sciences, Medical School, Swansea University, Swansea, United Kingdom.
Daniel J SmithInstitute of Health and Wellbeing, University of Glasgow, United Kingdom.
University of Glasgow · GBSwansea University · GB

Funding

Medical Research Council MC_PC_17211Medical Research Council MC_PC_17217Wellcome Trust
6 · The paper itself

Abstract

backgroundThe association between loneliness and suicide is poorly understood. We investigated how living alone, loneliness and emotional support were related to suicide and self-harm in a longitudinal design.

methodsBetween 2006 and 2010 UK Biobank recruited and assessed in detail over 0.5 million people in middle age. Data were linked to prospective hospital admission and mortality records. Adjusted Cox regression models were used to investigate relationships between living arrangements, loneliness and emotional support, and both suicide and self-harm as outcomes.

resultsFor men, both living alone (Hazard Ratio (HR) 2.16, 95%CI 1.51-3.09) and living with non-partners (HR 1.80, 95%CI 1.08-3.00) were associated with death by suicide, independently of loneliness, which had a modest relationship with suicide (HR 1.43, 95%CI 0.1.01-2.03). For women, there was no evidence that living arrangements, loneliness or emotional support were associated with death by suicide. Associations between living alone and self-harm were explained by health for women, and by health, loneliness and emotional support for men. In fully adjusted models, loneliness was associated with hospital admissions for self-harm in both women (HR 1.89, 95%CI 1.57-2.28) and men (HR 1.74, 95%CI 1.40-2.16). LIMITATIONS: Loneliness and emotional support were operationalized using single item measures.

conclusionsFor men - but not for women - living alone or living with a non-partner increased the risk of suicide, a finding not explained by subjective loneliness. Overall, loneliness may be more important as a risk factor for self-harm than for suicide. Loneliness also appears to lessen the protective associations of cohabitation.

Indexed as

Self-Injurious BehaviorSuicideBiological Specimen BanksFemaleFollow-Up StudiesHumansLonelinessMaleMiddle AgedProspective StudiesRisk FactorsUnited KingdomEmotional supportLiving arrangementsLonelinessSelf-harmSuicide

Identifiers

PMID33096330
PMCPMC7758739
OpenAlexW3093261288

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.