Evidence map›Paper›PMID 40307360›Full record

ArticleCommunications medicine2025

A cross-national analysis of sociodemographic variation in suffering across 22 countries.

Richard G Cowden, Zhuo Job Chen, Renae Wilkinson, Dorota Weziak-Bialowolska, Thomas Breedlove, Craig Gundersen, Koichiro Shiba, R Noah Padgett, Byron R Johnson, Tyler J VanderWeele

Abstract read
In one paragraph

Article in Communications medicine, 2025. 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
–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

6 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

10 authors.

Richard G CowdenHuman Flourishing Program, Institute for Quantitative Social Science, Harvard University, Cambridge, MA, USA. rcowden@fas.harvard.edu.ORCID http://orcid.org/0000-0002-9027-4253
Zhuo Job ChenSchool of Nursing, University of North Carolina at Charlotte, Charlotte, NC, USA.ORCID http://orcid.org/0000-0003-0839-1627
Renae WilkinsonHuman Flourishing Program, Institute for Quantitative Social Science, Harvard University, Cambridge, MA, USA.
Dorota Weziak-BialowolskaHuman Flourishing Program, Institute for Quantitative Social Science, Harvard University, Cambridge, MA, USA.ORCID http://orcid.org/0000-0003-2711-2283
Thomas BreedloveInstitute for Studies of Religion, Baylor University, Waco, TX, USA.
Craig GundersenDepartment of Economics, Baylor University, Waco, TX, 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.
Byron R JohnsonHuman Flourishing Program, Institute for Quantitative Social Science, Harvard University, Cambridge, MA, USA.
Tyler J VanderWeeleHuman Flourishing Program, Institute for Quantitative Social Science, Harvard University, Cambridge, MA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSuffering has been identified as an important public health issue worthy of closer attention. This preregistered study takes an initial step toward developing an epidemiology of suffering by exploring the distribution of suffering in 22 countries and testing for sociodemographic disparities in suffering.

methodsUsing nationally representative data from the first wave of the Global Flourishing Study (N = 202,898), we estimated the proportion of people who endorsed some/a lot of suffering in each country. Variation in proportions of suffering across the categories of 9 sociodemographic characteristics (age, gender, marital status, employment status, years of education, immigration status, frequency of religious service attendance, religious affiliation, racial/ethnic identity) were estimated separately for each country. We aggregated country-level estimates of suffering for specific sociodemographic categories using random effects meta-analyses.

resultsWe find that the proportion of country-specific populations experiencing suffering varies considerably, ranging from 0.24 (Poland) to 0.60 (Türkiye). Country-level results provide evidence of cross-national heterogeneity in suffering for all sociodemographic categories, although variation is greater for some categories than others. Meta-analytic results support differences in suffering based on marital status, employment status, and years of education across the countries, with the highest suffering observed among those who have separated from their spouse, are either unemployed and looking for a job or endorse the none of these/other employment status category, and have completed 8 or fewer years of education.

conclusionsSuffering varies across countries and sociodemographic categories. Our findings lay the foundation for population-level monitoring of suffering and a population health agenda to address suffering among vulnerable subpopulations.

Identifiers

PMID40307360
PMCPMC12043856

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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.