Evidence map›Paper›PMID 34717284›Full record

ArticleSocial science & medicine (1982)2021

COVID-19 vulnerability and perceived norm violations predict loss of social trust: A pre-post study.

Sergio Lo Iacono, Wojtek Przepiorka, Vincent Buskens, Rense Corten, Arnout van de Rijt

Abstract read
In one paragraph

Article in Social science & medicine (1982), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
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  9. The political cost of sanctions: Evidence from COVID-19.Health policy (Amsterdam, Netherlands) · 2022
    Article
  10. COVID-19 infection induces higher trust in strangers.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  11. Article
  12. Article
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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

5 authors.

Sergio Lo IaconoUtrecht University, Department of Sociology/ICS, Padualaan 14, 3584 CH, Utrecht, Netherlands. Electronic address: s.loiacono@uu.nl.
Wojtek PrzepiorkaUtrecht University, Department of Sociology/ICS, Padualaan 14, 3584 CH, Utrecht, Netherlands.
Vincent BuskensUtrecht University, Department of Sociology/ICS, Padualaan 14, 3584 CH, Utrecht, Netherlands.
Rense CortenUtrecht University, Department of Sociology/ICS, Padualaan 14, 3584 CH, Utrecht, Netherlands.
Arnout van de RijtUtrecht University, Department of Sociology/ICS, Padualaan 14, 3584 CH, Utrecht, Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While pandemic containment measures benefit public health, they may jeopardize the social structure of society. We hypothesize that lockdowns and prolonged social distancing measures hinder social support and invite norm violations, eroding social trust. We conducted a pre-registered pre-post study on a representative sample of the Dutch population (n = 2377; participation rate = 88.8%), measuring social trust reported by the same individuals before and after the first wave of the COVID-19 pandemic. Results show that social trust in the Netherlands suddenly dropped from its historically stable level, reaching one of its lowest points on record. The decline was stronger among residents belonging to official high-risk categories, especially if they perceived themselves as likely to become infected. Individuals who more strongly agreed with self-isolation norms or did not perceive a widespread compliance or agreement with such norms also reported a greater loss of trust.

Indexed as

COVID-19Communicable Disease ControlHumansPandemicsSARS-CoV-2Social StructureTrustCOVID-19Normative expectationsSocial normsSocial trustVulnerability

Identifiers

PMID34717284
PMCPMC8553419

What OpenQuestion holds

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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.