Evidence map›Paper›PMID 42226064›Full record

ArticleBMC global and public health2026

Coordinated outcome-wide analytic methodology for multi-wave analyses of the global flourishing study.

R Noah Padgett, Chris Felton, Matt Bradshaw, Ying Chen, Richard G Cowden, Eric S Kim, Renae Wilkinson, Byron R Johnson, Tyler J VanderWeele

Abstract read
In one paragraph

Article in BMC global and public health, 2026. 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
  2. Article
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.

R Noah PadgettHarvard T.H. Chan School of Public Health, Department of Epidemiology, Boston, MA, USA. npadgett@hsph.harvard.edu.
Chris FeltonInstitute for Religious Studies, Baylor University, Waco, TX, USA.
Matt BradshawInstitute for Studies of Religion, Baylor University, Waco, TX, USA.
Ying ChenHarvard T.H. Chan School of Public Health, Department of Epidemiology, Boston, MA, USA.
Richard G CowdenHarvard T.H. Chan School of Public Health, Department of Epidemiology, Boston, MA, USA.
Eric S KimThe University of British Columbia, Department of Psychology, Vancouver, BC, Canada.
Renae WilkinsonHuman Flourishing Program, Harvard University, Cambridge, MA, USA.
Byron R JohnsonInstitute for Studies of Religion, Baylor University, Waco, TX, USA.
Tyler J VanderWeeleHarvard T.H. Chan School of Public Health, Department of Epidemiology, Boston, MA, USA.

Funding

Fetzer Institute #4354John Templeton Foundation #61665Templeton Religion Trust #1308TWCF #0605
6 · The paper itself

Abstract

In this article, we describe the analytic design of the coordinated set of outcome-wide analyses used for examining longitudinal associations using data from the Global Flourishing Study (GFS), involving a multinational and multidisciplinary group of scholars. We discuss the benefits of outcome-wide analyses and provide details on controlling for high-dimensional confounders using principal components, accounting for complex sampling designs, imputing missing data, conducting sensitivity analyses for unmeasured confounding, meta-analyzing estimates of associations from across countries, and reporting results. We provide a brief illustrative example of the outcome-wide approach by estimating the association of Wave 1 sense of mastery with a wide range of Wave 2 outcomes. The example illustrates how results can be sensitive to analytic decisions, such as different coding strategies for the predictor and the number of principal components included. We conclude by outlining the major strengths and limitations of the employed methodology.

Indexed as

Global Flourishing StudyMasteryMeta-analysisMethodologyOutcome-wide

Identifiers

PMID42226064
PMCPMC13227717

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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.