Evidence map›Paper›PMID 24760052›Full record

ArticlePloS one2014

Interpersonal trust across six Asia-Pacific countries: testing and extending the 'high trust society' and 'low trust society' theory.

Paul R Ward, Loreen Mamerow, Samantha B Meyer

Abstract read
In one paragraph

Article in PloS one, 2014. 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

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3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

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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.

Paul R WardDiscipline of Public Health, Flinders University, Adelaide, South Australia, Australia.
Loreen MamerowDiscipline of Public Health, Flinders University, Adelaide, South Australia, Australia.
Samantha B MeyerSchool of Public Health and Health Systems, University of Waterloo, Waterloo, Ontario, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTrust is regarded as a necessary component for the smooth running of society, although societal and political modernising processes have been linked to an increase in mistrust, potentially signalling social and economic problems. Fukuyama developed the notion of 'high trust' and 'low trust' societies, as a way of understanding trust within different societies. The purpose of this paper is to empirically test and extend Fukuyama's theory utilising data on interpersonal trust in Taiwan, Hong Kong, South Korea, Japan, Australia and Thailand. This paper focuses on trust in family, neighbours, strangers, foreigners and people with a different religion.

methodsCross-sectional surveys were undertaken in 2009-10, with an overall sample of 6331. Analyses of differences in overall levels of trust between countries were undertaken using Chi square analyses. Multivariate binomial logistic regression analysis was undertaken to identify socio-demographic predictors of trust in each country.

resultsOur data indicate a tripartite trust model: 'high trust' in Australia and Hong Kong; 'medium trust' in Japan and Taiwan; and 'low trust' in South Korea and Thailand. Trust in family and neighbours were very high across all countries, although trust in people with a different religion, trust in strangers and trust in foreigners varied considerably between countries. The regression models found a consistent group of subpopulations with low trust across the countries: people on low incomes, younger people and people with poor self-rated health. The results were conflicting for gender: females had lower trust in Thailand and Hong Kong, although in Australia, males had lower trust in strangers, whereas females had lower trust in foreigners.

conclusionThis paper identifies high, medium and low trust societies, in addition to high and low trusting population subgroups. Our analyses extend the seminal work of Fukuyama, providing both corroboration and refutation for his theory.

Indexed as

TrustAustraliaCross-Sectional StudiesFemaleHong KongHumansJapanMaleModels, TheoreticalRepublic of KoreaSocioeconomic FactorsTaiwanThailand

Identifiers

PMID24760052
PMCPMC3997396

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LicenceCC BY
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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.