Evidence map›Paper›PMID 40307250›Full record

ArticleScientific reports2025

The distribution of optimism across sociodemographic groups in 22 countries.

Ying Chen, Laura D Kubzansky, Eric S Kim, Hayami Koga, Koichiro Shiba, R Noah Padgett, Renae Wilkinson, Byron R Johnson, Tyler J VanderWeele

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. 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

9 authors.

Ying ChenHuman Flourishing Program, Institute for Quantitative Social Science, Harvard University, Cambridge, MA, USA. yic867@mail.harvard.edu.
Laura D KubzanskyDepartment of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Eric S KimHuman Flourishing Program, Institute for Quantitative Social Science, Harvard University, Cambridge, MA, USA.
Hayami KogaDepartment of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Koichiro ShibaDepartment of Epidemiology, Boston University School of Public Health, Boston, MA, USA.
R Noah PadgettHuman Flourishing Program, Institute for Quantitative Social Science, Harvard University, Cambridge, MA, USA.
Renae WilkinsonHuman Flourishing Program, Institute for Quantitative Social Science, Harvard University, Cambridge, MA, USA.
Byron R Johnson *Human Flourishing Program, Institute for Quantitative Social Science, Harvard University, Cambridge, MA, USA.
Tyler J VanderWeele *Human Flourishing Program, Institute for Quantitative Social Science, Harvard University, Cambridge, MA, USA.

Funding

John Templeton Foundation 61665
6 · The paper itself

Abstract

Prior research (mainly from Western industrialized countries) documents associations between greater dispositional optimism (a generalized expectation that good things will happen) and improved health and well-being. However, less is known about whether and how levels of optimism differ across countries and across sociodemographic groups within different countries. This study presents a cross-national exploration of optimism, and its variations across sociodemographic groups. Using a sample of 202,898 adults from 22 diverse countries, we examined the relationships between optimism and key sociodemographic factors in each country separately, and cross-nationally by pooling results across countries using meta-analytic techniques. Our results suggest that mean optimism levels vary substantially across countries. Optimism also varies significantly across most of the sociodemographic factors included in our analyses. In the pooled results across countries, individuals who are older, female, married, employed, highly educated, attending religious services frequently, and native-born reported higher mean optimism levels. In the country-specific analyses, the sociodemographic variation in optimism differs across countries, indicating diverse societal influences. The findings of this study provide novel insights into the population distribution of optimism and disparities in optimism by sociodemographic groups across countries. This study provides a valuable foundation for future investigations into sociocultural influences that shape optimism.

Indexed as

OptimismSociodemographic FactorsAdolescentAdultAgedFemaleHumansMaleMiddle AgedSocioeconomic FactorsYoung AdultCultureDemographic variationGlobal Flourishing StudyOptimismWell-being

Identifiers

PMID40307250
PMCPMC12043849

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.