Evidence map›Paper›PMID 35735380›Full record

ArticleBehavioral sciences (Basel, Switzerland)2022

Trust in Institutions, Not in Political Leaders, Determines Compliance in COVID-19 Prevention Measures within Societies across the Globe.

Ryan P Badman, Ace X Wang, Martin Skrodzki, Heng-Chin Cho, David Aguilar-Lleyda, Naoko Shiono, Seng Bum Michael Yoo, Yen-Sheng Chiang, Rei Akaishi

Abstract read
In one paragraph

Article in Behavioral sciences (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Trust in institutions affects vaccination campaign outcomes.Transactions of the Royal Society of Tropical Medicine and Hygiene · 2024
    Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. 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

9 authors.

Ryan P BadmanCenter for Brain Science, RIKEN, Wako 351-0198, Japan.ORCID 0000-0001-8819-1144
Ace X WangEconomics Department, State University of New York at Binghamton, Binghamton, NY 13902, USA.
Martin SkrodzkiRIKEN Interdisciplinary Theoretical and Mathematical Sciences Program, RIKEN, Wako 351-0198, Japan.ORCID 0000-0002-8126-0511
Heng-Chin ChoInstitute of Sociology, Academia Sinica, Taipei 11529, Taiwan.ORCID 0000-0001-9596-0968
David Aguilar-LleydaCenter for Brain Science, RIKEN, Wako 351-0198, Japan.
Naoko ShionoCenter for Brain Science, RIKEN, Wako 351-0198, Japan.
Seng Bum Michael YooCenter for Neuroscience Imaging Research, Institute for Basic Science (IBS), Suwon 16419, Korea.
Yen-Sheng ChiangInstitute of Sociology, Academia Sinica, Taipei 11529, Taiwan.
Rei AkaishiCenter for Brain Science, RIKEN, Wako 351-0198, Japan.ORCID 0000-0002-6369-4893

Funding

Deutsche Forschungsgemeinschaft 455095046Institute for Basic Science IBS-R001-D1Ministry of Science and Technology 107-2410-H-001-003-SS2Toyota Motor Corporation (Japan) LP3009219
6 · The paper itself

Abstract

A core assumption often heard in public health discourse is that increasing trust in national political leaders is essential for securing public health compliance during crises such as the COVID-19 pandemic (2019-ongoing). However, studies of national government trust are typically too coarse-grained to differentiate between trust in institutions versus more interpersonal trust in political leaders. Here, we present multiscale trust measurements for twelve countries and territories across the West, Oceania and East Asia. These trust results were used to identify which specific domains of government and social trust were most crucial for securing public health compliance (frequency of mask wearing and social distancing) and understanding the reasons for following health measures (belief in effectiveness of public health measures). Through the use of linear regression and structural equation modeling, our cross-cultural survey-based analysis (

Indexed as

COVID-19institutional trustpolitical trustpublic health compliancesocial trusttransparency

Identifiers

PMID35735380
PMCPMC9219766

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.