Evidence map›Paper›PMID 40787646›Full record

ArticleApplied research in quality of life2025

Childhood Predictors of Dispositional Forgivingness in Adulthood: A Cross-National Analysis with 22 Countries.

Richard G Cowden, Everett L Worthington, Dorota Weziak-Bialowolska, George Yancey, Charlotte V O Witvliet, Koichiro Shiba, R Noah Padgett, Matt Bradshaw, Byron R Johnson, Tyler J VanderWeele

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Article in Applied research in quality of life, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 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.ORCID 0000-0002-9027-4253
Everett L WorthingtonDepartment of Psychology, Virginia Commonwealth University, Richmond, VA USA.
Dorota Weziak-BialowolskaHuman Flourishing Program, Institute for Quantitative Social Science, Harvard University, Cambridge, MA USA.
George YanceyDepartment of Sociology, Baylor University, Waco, TX USA.
Charlotte V O WitvlietPsychology Department, Hope College, Holland, MI 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.
Matt BradshawInstitute for Studies of Religion, Baylor University, Waco, TX 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

A robust body of empirical evidence suggests that forgiveness of others is positively related to individual wellbeing. However, less empirical work has been done to identify the factors that may help children not only forgive better during childhood but also develop into adults who practice forgiveness more consistently. To support a population health agenda aimed at the promotion of forgiveness, further research is needed to identify potential determinants of forgiveness. In this preregistered study, we used the first wave of nationally representative data from 22 countries included in the Global Flourishing Study ( Supplementary Information: The online version contains supplementary material available at 10.1007/s11482-025-10451-z.

Indexed as

Child developmentForgivenessGlobal flourishing studyLife coursePopulation wellbeing

Identifiers

PMID40787646
PMCPMC12328535

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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.