Cited by 584COVID-19 and Mental HealthHealth disparities and outcomesCOVID-19 epidemiological studies

The DOI matches its Crossref record; 69 of the 73 references it cites were found in a registry or an index; none of the 39 sources its claims cite is checked for support yet.

Loneliness before and during the COVID-19 pandemic: A systematic review with meta-analysis.

Open access

Published version of a preprint

Abstract

The COVID-19 pandemic and measures aimed at its mitigation, such as physical distancing, have been discussed as risk factors for loneliness, which increases the risk of premature mortality and mental and physical health conditions. To ascertain whether loneliness has increased since the start of the pandemic, this study aimed to narratively and statistically synthesize relevant high-quality primary studies. This systematic review with meta-analysis was registered at PROSPERO (ID CRD42021246771). Searched databases were PubMed, PsycINFO, Cochrane Library/Central Register of Controlled Trials/EMBASE/CINAHL, Web of Science, the World Health Organization (WHO) COVID-19 database, supplemented by Google Scholar and citation searching (cutoff date of the systematic search December 5, 2021). Summary data from prospective research including loneliness assessments before and during the pandemic were extracted. Of 6,850 retrieved records, 34 studies (23 longitudinal, 9 pseudolongitudinal, 2 reporting both designs) on 215,026 participants were included. Risk of bias (RoB) was estimated using the risk of bias in non-randomised studies-of interventions (ROBINS-I) tool. Standardized mean differences (SMD, Hedges' g) for continuous loneliness values and logOR for loneliness prevalence rates were calculated as pooled effect size estimators in random-effects meta-analyses. Pooling studies with longitudinal designs only (overall N = 45,734), loneliness scores (19 studies, SMD = 0.27 [95% confidence interval = 0.14-0.40], Z = 4.02, p < .001, I 2 = 98%) and prevalence rates (8 studies, logOR = 0.33 [0.04-0.62], Z = 2.25, p = .02, I 2 = 96%) increased relative to prepandemic times with small effect sizes. Results were robust with respect to studies' overall RoB, pseudolongitudinal designs, timing of prepandemic assessments, and clinical populations. The heterogeneity of effects indicates a need to further investigate risk and protective factors as the pandemic progresses to inform targeted interventions. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Overview

Integrity signals

Registry

Crossref · 10.1037/amp0001005

Cites

69 of 69 references verified0 citation errors · 0 not checkable

Statistics

4 tests recomputed · 0 with the reported and recomputed p on opposite sides of .05

Verification

Claims the paper makes

0 of 39 cited sources checked · 0 supported · 0 flagged

Show all 35 claims

  • It may state two separate claims as one. 23
  • Probably not a substantial claim. 18
36 of 36
  • The paper relies on this without support.

    The pandemic and mitigation measures led to fewer social contacts (greater social isolation).

    “Since its outbreak, many countries around the world have enacted shelter-in-place and physical distancing orders, travel bans, and switched to remote work and education resulting in fewer social contacts (i.e., greater social isolation), which may in turn have increased loneliness”
  • The paper relies on this without support.

    Different loneliness measures assess the same underlying construct and can be pooled using standardized mean differences.

    “For interval- or pseudo-interval-scaled outcomes (continuous loneliness scores), weighted standardized mean differences (Hedges’ g) were used as effect size estimators”
  • The paper relies on this without support.

    Loneliness is a risk factor for premature mortality and for mental and physical health problems.

    “However, as loneliness constitutes a risk for premature mortality and mental and physical health, it should be closely monitored, ideally in combination with potential risk and protective factors and health outcomes to derive appropriate interventions.”
3 of 3

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Statistics that don’t add up

Each reported p-value recomputed from its test statistic and degrees of freedom.

  • Inconsistent p-value: (Z = 0.205, p = .238

    Minor

    The paper reports p = .238 here; recomputing from the test statistic and its degrees of freedom gives p = .838 (two-tailed). The check cannot tell whether the statistic or the p-value is the misprint.

    Reported p = .238 · recomputed p = .838

1 of 1

Statistics recomputed

Every reported test result, recomputed from its test statistic and degrees of freedom. A result shows as not adding up only once an independent check has confirmed it.

  • Doesn’t add upz = 0.205reported p = .238 · recomputed p = .838

    “(Z = 0.205, p = .238”

  • Consistentz = 4.02reported p < .001 · recomputed p < .001

    “Z=4.02, p < .001”

  • Consistentz = 2.25reported p = .02 · recomputed p = .024

    “Z=2.25, p = .02”

  • Consistentz = 0.236reported p = .813 · recomputed p = .813

    “(Z = 0.236, p = .813”

4 of 4

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

Each contradiction between two passages listed here was confirmed by an independent check.

  • Risk-of-bias effect is interpreted in opposite directions

    Minor

    The results say lower risk of bias was associated with smaller effects, while the discussion says higher risk of bias was associated with smaller effects. The reported negative coefficient, with moderate risk coded 0 and serious risk coded 1, supports the discussion's direction.

1 of 1

Citations

Cites

Flagged first, then by citations

4 of the 73 references couldn’t be matched to a known paper.

Research works printed but not linked: 4

  1. Cochrane Handbook for Systematic Reviews of Interventions version 6.2. (2021). (Higgins JPT, Thomas J, Chandler J, Cumpston M, Li T, Page MJ, & Welch VA, Eds.). Cochrane. www.training.cochrane.org/handbook PMC10284251 31643080
  2. Gierveld JDJ, & Tilburg TV (2006). A 6-item scale for overall, emotional, and social loneliness: Confirmatory tests on survey data. Research on Aging, 28(5), 582– 598.
  3. National Academies of Science, Engineering, and Medicine,. (2020). Social Isolation and Loneliness in Older Adults: Opportunities for the Health Care System. National Academies Press. 32510896
  4. Perlman D, & Peplau LA (1981). Toward a social psychology of loneliness. In Gilmour R & Duck S (Eds.), Personal Relationships (Vol. 3, pp. 31– 56). Academic Press.

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Metadata

Authors
Ernst, M., Niederer, D., Werner, A. M., Czaja, S. J., Mikton, C., Ong, A. D., Rosen, T., Brähler, E., & Beutel, M. E.
Affiliations
  • Johannes Gutenberg University Mainz (DE)
  • Goethe University Frankfurt (DE)
  • Weill Cornell Medicine (US)
  • World Health Organization (CH)
  • Cornell University (US)
  • NewYork–Presbyterian Hospital (US)
Corresponding author
Ernst, Mareike
Venue
American Psychologist
Published
2022-07
Volume
77
Issue
5
Pages
660-677
ISSN
  • 0003-066X (ISSN-L)
  • 1935-990X
OpenAlex
W4229451984
Cited by
584
References
73
Citations by year
2026: 83 · 2025: 144 · 2024: 172 · 2023: 143 · 2022: 41
FWCI
114.17
Type
journal article
Language
en
Open access
Locations
  • American Psychologist (publishedVersion, other-oa)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
  • PsyArXiv (OSF Preprints) (submittedVersion)
Funders
  • Mainz Research Center for Mental Health
  • National Institute on Aging (K76 AG054866)
Topics
  • Social Sciences › Psychology › Clinical Psychology › COVID-19 and Mental Health
  • Social Sciences › Health › Health disparities and outcomes
  • Physical Sciences › Mathematics › Modeling and Simulation › COVID-19 epidemiological studies
Keywords
loneliness, COVID-19 pandemic, social distancing, prevalence of loneliness, pre-pandemic comparison, mental health, social isolation, risk factors for loneliness
MeSH terms
COVID-19, Humans, Loneliness, Prospective Studies, Pandemics

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

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