Evidence map›Paper›PMID 42557586›Full record

ArticleBMC global and public health2026

Measuring loneliness at a national scale: The measuring loneliness in England (INTERACT) study's approach and initial findings.

Austen El-Osta, Aos Alaa, Mahmoud Al-Ammouri, Sami Altalib, Agustin Tristán-López, Azeem Majeed

Abstract read
In one paragraph

Article in BMC global and public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

6 authors.

Austen El-OstaDepartment of Primary Care and Public Health, School of Public Health, Imperial College London, London, W12 0BZ, UK. a.el-osta@imperial.ac.uk.ORCID http://orcid.org/0000-0002-8772-4938
Aos AlaaDepartment of Primary Care and Public Health, School of Public Health, Imperial College London, London, W12 0BZ, UK.ORCID http://orcid.org/0000-0001-6130-5092
Mahmoud Al-AmmouriDepartment of Primary Care and Public Health, School of Public Health, Imperial College London, London, W12 0BZ, UK.ORCID http://orcid.org/0009-0007-6184-6818
Sami AltalibDepartment of Primary Care and Public Health, School of Public Health, Imperial College London, London, W12 0BZ, UK.ORCID http://orcid.org/0000-0001-7404-8486
Agustin Tristán-LópezDepartment of Primary Care and Public Health, School of Public Health, Imperial College London, London, W12 0BZ, UK.ORCID http://orcid.org/0000-0003-4214-5390
Azeem MajeedDepartment of Primary Care and Public Health, School of Public Health, Imperial College London, London, W12 0BZ, UK.ORCID http://orcid.org/0000-0002-2357-9858

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLoneliness is increasingly recognised as a major public health challenge with significant implications for mental, physical and social wellbeing. While there were previous large scale studies including loneliness measures, few datasets capture loneliness across the full adult life course, integrate neighbourhood-level social capital and provide geospatial mapping at national scale. The Measuring Loneliness in England (INTERACT) Study was designed to address these gaps by characterising the distribution, intensity and sociodemographic patterning of loneliness within a large volunteer-based sample across diverse population groups in England. The aim of this paper is to describe the development, implementation and early findings of the INTERACT study.

methodsA total of 135,725 adults completed the online survey between March and July 2023. The instrument included validated measures of loneliness: the University of California Los Angeles (UCLA) 3 item loneliness scale and Office for National Statistics Direct Measure (DMOL), social capital indicators and demographic variables. Descriptive statistics were stratified by key subgroups. A geospatial analysis at Lower Super Output Area level was used to visualise clustering of loneliness across England.

results135,725 participants across the full adult life course (16+) were included. The cohort was predominantly female (61.6%), White (82.6%) and aged over 65 (32.4%). The sample over-represented highly educated individuals and under-represented minority ethnic groups. On DMLO, 16.5% of participants reported feeling lonely "often or always," while the UCLA-3 indicated that 21% to 22.5% frequently felt a lack of companionship, left out, or isolated (median score=6, Interquartile Range (IQR) = 3-7). Social capital perceptions were mixed (median=4, IQR) = 2-6). The COVID-19 pandemic exacerbated feelings of loneliness for 44.0% of respondents and isolation for 48.2%. As a volunteer-based, non-probability sample, findings are descriptive of respondents and are not intended to estimate population prevalence.

conclusionsThe INTERACT Study provides a comprehensive national dataset on loneliness and social disconnection in England. The scale, methodological rigour and spatial granularity of the INTERACT study offer indicative insights that may inform the design of targeted, place-based interventions, pending confirmatory analyses in representative samples to mitigate loneliness and promote social connection across communities.

Indexed as

Community healthCOVID-19LonelinessMental healthPublic healthSocial capitalSocial connectionSocial isolation

Identifiers

PMID42557586
PMCPMC13445768

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Registered trials

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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.