Evidence map›Paper›PMID 41422511›Full record

ArticleSociology of health & illness2026

Transitions in and out of Loneliness During the COVID-19 Pandemic: A Latent Class Analysis of Older Adults in England.

Mengxing Joshi, Daniela Weber, Anne Goujon

Abstract read
In one paragraph

Article in Sociology of health & illness, 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

3 authors.

Mengxing JoshiSchool of Geography and Sustainable Development, University of St Andrews, St Andrews, UK.ORCID 0000-0003-3818-9999
Daniela WeberInternational Institute for Applied Systems Analysis, Vienna, Austria.
Anne GoujonInternational Institute for Applied Systems Analysis, Vienna, Austria.

Funding

Economic and Social Research Council ES/P000681/1Natural Environment Research CouncilÖsterreichischen Akademie der Wissenschaften
6 · The paper itself

Abstract

Disease control measures during the COVID-19 pandemic may have intensified loneliness among older adults, though experiences varied based on individual vulnerabilities and resources. This study examines loneliness trajectories among older adults using the English Longitudinal Study of Ageing, spanning four waves: two pre-pandemic (Wave 8: 2016-2017; Wave 9: 2018-2019) and two COVID-19 substudies (June-July and November-December 2020). The sample included 4492 respondents (17,968 observations). Latent class growth analysis identified four loneliness trajectories: 'not lonely' (73.5%), 'pandemic loneliness' (12.7%), 'transitioned out of loneliness' (6.9%) and 'enduring loneliness' (6.8%). Multinomial regression analysis explored predictors of trajectory membership. Younger age (50-74), being female, depression, COVID-related worries and disrupted daily routines increased the likelihood of belonging to 'pandemic loneliness' rather than 'not lonely'. Optimism and strong partner support increased the likelihood of remaining 'not lonely' or transitioning out of loneliness. The pandemic's unintended effects, including routine disruptions and financial concerns, heightened loneliness risks, whereas psychosocial resources provided critical resilience. To prepare for future public health crises, policies should strengthen mental health support, promote social and economic stability and enhance social connection and resilience. Addressing psychosocial factors is essential to reducing loneliness and protecting older adults' well-being during and beyond periods of crisis.

Indexed as

COVID-19LonelinessAgedAged, 80 and overDepressionEnglandFemaleHumansLatent Class AnalysisLongitudinal StudiesMaleMiddle AgedPandemicsSARS-CoV-2English Longitudinal Study of Ageinginequalitypandemic lonelinesspopulation ageingsocial health

Identifiers

PMID41422511
PMCPMC12718619

What OpenQuestion holds

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LicenceCC BY
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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.