Evidence map›Paper›PMID 42058103›Full record

ArticleEvolutionary human sciences2026

Target trial emulation shows that supported causal effects of religious attendance on well-being are selective.

Joseph A Bulbulia, Don E Davis, Crystal Park, Kenneth G Rice, Geoffrey Troughton, Daryl R Van Tongeren, Chris G Sibley

Abstract read
In one paragraph

Article in Evolutionary human sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Joseph A BulbuliaPsychology, Victoria University of Wellington, Wellington, New Zealand.ORCID https://orcid.org/0000-0002-5861-2056
Don E DavisMatheny Center for the Study of Stress, Trauma, and Resilience, Georgia State University, Atlanta, GA, USA.
Crystal ParkDepartment of Psychological Sciences, University of Connecticut, Storrs, CT, USA.
Kenneth G RiceMatheny Center for the Study of Stress, Trauma, and Resilience, Georgia State University, Atlanta, GA, USA.
Geoffrey TroughtonSchool of Social and Cultural Studies, Victoria University of Wellington, Wellington, New Zealand.
Daryl R Van TongerenPsychology, Hope College Department of Psychology, Holland, MI, USA.
Chris G SibleySchool of Psychology, University of Auckland - City Campus, Auckland, New Zealand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Religious service attendance is associated with better well-being, but observational associations do not establish causation. We analyse six annual waves of the New Zealand Attitudes and Values Study () to estimate causal effects of monthly attendance on 24 well-being indicators using target trial emulation. Deterministic 'make everyone attend' contrasts fail positivity: only 2-3% of non-attenders initiate attendance per year. We therefore estimate supported stochastic interventions () among baseline non-attenders () using a sequentially doubly robust estimator with cross-validated machine learning. Effects are selective: small gains appear in meaning and purpose, forgiveness, and sexual satisfaction, with little movement in somatic health, psychological distress, social belonging, or perceived social support. A comparison exposure (+1 hour per week socialising with others) does not reproduce the pattern. We interpret the selective pattern through a prominent cooperative account of religion: gains concentrate in coordination-relevant domains rather than in direct health pathways.

Indexed as

longitudinal panelNew Zealandoutcome-widepair bondingpositivity assumptionritual

Identifiers

PMID42058103
PMCPMC13122395

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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.