Evidence map›Paper›PMID 36334920›Full record

ArticleSocial science research2022

Socioeconomic stratification and trajectories of social trust during COVID-19.

Cary Wu, Alex Bierman, Scott Schieman

Open access · greenAbstract read
In one paragraph

Article in Social science research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
3.4field-weighted citation impact, top 7% of its field
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

6 citing papers in PubMed, 21 citations in OpenAlex.

  1. Review
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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

3 authors at 3 institutions in 1 country.

Cary WuYork University, Canada. Electronic address: carywu@yorku.ca.
Alex BiermanUniversity of Calgary, Canada. Electronic address: aebierma@ucalgary.ca.
Scott SchiemanUniversity of Toronto, Canada. Electronic address: scott.schieman@utoronto.ca.
University of Calgary · CAUniversity of Toronto · CAYork University · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Extant theory suggests that crises such as the COVID-19 pandemic may change people's trust in others. A crisis-to-solidarity model suggests that people become more trusting, while a crisis-to-negative experience theory suggests that people lose trust, and a stability perspective predicts that social trust will largely remain unchanged. We argue that, when a crisis occurs, trust is likely to fall into distinct trajectories of change that will conform to these different perspectives, and placement into contrasting trajectories of change will be predicated on socioeconomic position. To test our argument, we use data from multiple waves of Canadian national surveys conducted from September 2019 to February 2021 and examine how two major forms of social trust-generalized trust and neighborhood trust-changed during the COVID-19 pandemic. A longitudinal latent class analysis (LLCA) shows increasing, decreasing, and stable trajectories of trust, which conform to each of the proposed patterns. We further show that individuals' baseline socioeconomic position is a strong indicator of the placement in these trajectories. Both forms of trust increased among individuals with higher socioeconomic positions while decreased among individuals with lower socioeconomic positions. This research contributes to the literature on the social context of trust by reconciling contrasting views of the consequences of crises for trust, and also in showing that the segmentation of changes in trust are proscribed by structures of social stratification.

Indexed as

COVID-19CanadaHumansPandemicsSocioeconomic FactorsTrustCanadaCOVID-19Generalized trustLLCANeighborhood trust

Identifiers

PMID36334920
PMCPMC9186426
OpenAlexW4281776108

What OpenQuestion holds

Textmetadata
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.