What is our question?
For New Zealand adults, what are the causal effects of monthly religious service attendance on 24 well-being indicators, measured across somatic, psychological, existential, social, and relational domains?
Target trial emulation · NZAVS 2018–2023 · Lab report
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. SibleyEvolutionary Human Sciences · 2026
Religious service attendance is associated with better well-being, but observational associations do not establish causation. Across six annual waves of a national panel, we estimate the causal effects of monthly attendance on 24 well-being indicators — and the supported effects concentrate in meaning, forgiveness, and intimate life, with little change in somatic health, psychological distress, or social support.
The emulated trial
What is our question?
For New Zealand adults, what are the causal effects of monthly religious service attendance on 24 well-being indicators, measured across somatic, psychological, existential, social, and relational domains?
What is our population?
46,377 NZAVS participants at baseline, followed across six annual waves, 2018–2023. The primary contrast concerns the 38,477 who were not attending at baseline, with censoring adjustment carrying inference to that cohort.
What interventions do we compare?
Make everyone attend monthly, versus none. Only 2–3% of non-attenders initiate attendance in a given year; the data cannot identify a policy this far from what occurs.
Multiply each non-attender's chance of taking up monthly attendance fivefold, versus the natural course — the censoring-adjusted course actually observed.
The central result
Estimates come from the supported stochastic contrast above, fitted with a sequentially doubly robust estimator and cross-validated machine learning among baseline non-attenders. Cross-sectional associations between attendance and well-being are broadly favourable across most outcomes; the causal contrast narrows this profile, and the narrowing reflects both confounding adjustment and the change in causal question.
Supported · where attendance acts
Meaning and purpose rises by 0.085 standard deviations (E-value 1.25), sexual satisfaction by 0.086 (1.25), and forgiveness by 0.075 (1.21). Smaller supported gains appear for meaning and sense (0.071), short-form health (0.061), and body satisfaction (0.058).
Null · where it does not
Body mass index, sleep, and alcohol use, and the distress indicators — anxiety, depression, fatigue, rumination — show point estimates near zero with confidence intervals spanning the null. Social belonging and perceived social support do not meet the E-value reliability threshold.
The estimates
Standardised effects of the δ = 5 supported stochastic intervention among baseline non-attenders, with 95% confidence intervals, as reported in the paper. Green marks effects meeting the E-value reliability threshold; gold marks gratitude and body mass index, whose intervals exclude zero but whose E-value bounds fall short of it. The remaining outcomes cluster near zero.
Inference & robustness
A sequentially doubly robust estimator with cross-validated machine learning adjusts for 62 baseline covariates and 32 time-varying confounders, with inverse-probability-of-censoring weights for dropout.
Each supported effect clears the study's E-value reliability threshold (E-values 1.16–1.25); an unmeasured confounder would need associations of that strength with both attendance and outcome to explain the effect away.
Attendance is self-reported, and measurement error in self-reports would pull estimates towards zero — actual effects may be larger than we report.
We estimate total effects of specified changes in attendance rather than mediated pathways, and population averages rather than subgroup effects. Effects probably vary by tradition, belief strength, upbringing, and relationship status; childhood religious socialisation lies outside what adult panel data can identify.
Citation
Bulbulia, J. A., Davis, D. E., Park, C., Rice, K. G., Troughton, G., Van Tongeren, D. R., & Sibley, C. G. (2026). Target trial emulation shows that supported causal effects of religious attendance on well-being are selective. Evolutionary Human Sciences, 8, e16. doi:10.1017/ehs.2026.10043
Data: the New Zealand Attitudes and Values Study. Estimation: supported stochastic interventions with a sequentially doubly robust estimator.
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pagetitle: "Religious Attendance: Selective, Not Sweeping | OTTO Lab"
body-classes: report
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page-layout: full
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```{=html}
<div class="report-wrap">
<p class="kicker kicker-dash">Target trial emulation · NZAVS 2018–2023 · Lab report</p>
<h1 class="report-title">Religious Attendance: Selective, Not <em>Sweeping</em></h1>
<p class="report-subtitle">Target trial emulation shows that supported causal effects of religious attendance on well-being are selective</p>
<p class="byline"><span class="names">Joseph A. Bulbulia · Don E. Davis · Crystal Park · Kenneth G. Rice · Geoffrey Troughton · Daryl R. Van Tongeren · Chris G. Sibley</span><span class="venue">Evolutionary Human Sciences · 2026</span></p>
<p class="report-lede">Religious service attendance is associated with better well-being, but observational associations do not establish causation. Across six annual waves of a national panel, we estimate the causal effects of monthly attendance on 24 well-being indicators — and the supported effects concentrate in <span class="hl">meaning, forgiveness, and intimate life</span>, with <span class="hl-gold">little change</span> in somatic health, psychological distress, or social support.</p>
<div class="stat-row" style="margin-top:2.5rem">
<div class="stat"><span class="n">46,377</span><span class="lbl">participants at baseline, NZAVS</span></div>
<div class="stat"><span class="n">6</span><span class="lbl">annual waves, 2018–2023</span></div>
<div class="stat"><span class="n">24</span><span class="lbl">well-being indicators</span></div>
<div class="stat"><span class="n">2–3%</span><span class="lbl">of non-attenders initiate attendance per year</span></div>
</div>
<section class="report-section">
<p class="kicker kicker-dash">The emulated trial</p>
<div class="trial-grid">
<div class="cell">
<p class="chip soft">What is our question?</p>
<p>For New Zealand adults, what are the causal effects of monthly religious service attendance on 24 well-being indicators, measured across somatic, psychological, existential, social, and relational domains?</p>
</div>
<div class="cell">
<p class="chip soft">What is our population?</p>
<p>46,377 NZAVS participants at baseline, followed across six annual waves, 2018–2023. The primary contrast concerns the 38,477 who were not attending at baseline, with censoring adjustment carrying inference to that cohort.</p>
</div>
<div class="cell">
<p class="chip soft">What interventions do we compare?</p>
<div class="arm">
<span class="chip gold">Fails positivity</span>
<p>Make everyone attend monthly, versus none. Only 2–3% of non-attenders initiate attendance in a given year; the data cannot identify a policy this far from what occurs.</p>
</div>
<div class="arm">
<span class="chip">Adopted · δ = 5</span>
<p>Multiply each non-attender's chance of taking up monthly attendance fivefold, versus the natural course — the censoring-adjusted course actually observed.</p>
</div>
</div>
</div>
</section>
<section class="report-section">
<p class="kicker kicker-dash">The central result</p>
<h2 class="claim" style="margin-top:1rem">Small, supported gains appear in meaning and purpose, forgiveness, and sexual satisfaction; distress and somatic health barely change.</h2>
<p>Estimates come from the supported stochastic contrast above, fitted with a sequentially doubly robust estimator and cross-validated machine learning among baseline non-attenders. Cross-sectional associations between attendance and well-being are broadly favourable across most outcomes; the causal contrast narrows this profile, and the narrowing reflects both confounding adjustment and the change in causal question.</p>
<div class="duo">
<div class="panel">
<p class="chip">Supported · where attendance acts</p>
<h3>Meaning, forgiveness, intimacy</h3>
<p>Meaning and purpose rises by 0.085 standard deviations (E-value 1.25), sexual satisfaction by 0.086 (1.25), and forgiveness by 0.075 (1.21). Smaller supported gains appear for meaning and sense (0.071), short-form health (0.061), and body satisfaction (0.058).</p>
</div>
<div class="panel">
<p class="chip gold">Null · where it does not</p>
<h3>Distress and the body barely change</h3>
<p>Body mass index, sleep, and alcohol use, and the distress indicators — anxiety, depression, fatigue, rumination — show point estimates near zero with confidence intervals spanning the null. Social belonging and perceived social support do not meet the E-value reliability threshold.</p>
</div>
</div>
</section>
<section class="report-section">
<p class="kicker kicker-dash">The estimates</p>
<div class="figure-panel">
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<circle cx="6" cy="16" r="4.5" fill="var(--green)"/>
<text x="17" y="20" font-size="10.5" fill="var(--ink-soft)">meets the E-value reliability threshold</text>
<circle cx="6" cy="36" r="4.5" fill="var(--gold)"/>
<text x="17" y="40" font-size="10.5" fill="var(--ink-soft)">interval excludes zero; E-value modest</text>
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<text x="324.9" y="354" font-size="10" fill="var(--ink-faint)" text-anchor="middle">-0.05</text>
<text x="401.1" y="354" font-size="10" fill="var(--ink-faint)" text-anchor="middle">0</text>
<text x="477.2" y="354" font-size="10" fill="var(--ink-faint)" text-anchor="middle">+0.05</text>
<text x="553.4" y="354" font-size="10" fill="var(--ink-faint)" text-anchor="middle">+0.10</text>
<g>
<title>sexual satisfaction: 0.086 [0.046, 0.126], E-value bound 1.25</title>
<text x="250" y="95.5" font-size="10.5" letter-spacing="1" fill="var(--ink-soft)" text-anchor="end">SEXUAL SATISFACTION</text>
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<circle cx="532.1" cy="92.0" r="4.5" fill="var(--green)" stroke="var(--card)" stroke-width="2"/>
<text x="780" y="95.5" font-size="10" fill="var(--ink-faint)" text-anchor="end">+0.086 · E 1.25</text>
</g>
<g>
<title>meaning and purpose: 0.085 [0.044, 0.126], E-value bound 1.25</title>
<text x="250" y="127.5" font-size="10.5" letter-spacing="1" fill="var(--ink-soft)" text-anchor="end">MEANING AND PURPOSE</text>
<line x1="468.1" y1="124.0" x2="593.0" y2="124.0" stroke="var(--green)" stroke-width="2" stroke-linecap="round"/>
<circle cx="530.5" cy="124.0" r="4.5" fill="var(--green)" stroke="var(--card)" stroke-width="2"/>
<text x="780" y="127.5" font-size="10" fill="var(--ink-faint)" text-anchor="end">+0.085 · E 1.25</text>
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<g>
<title>forgiveness: 0.075 [0.034, 0.116], E-value bound 1.21</title>
<text x="250" y="159.5" font-size="10.5" letter-spacing="1" fill="var(--ink-soft)" text-anchor="end">FORGIVENESS</text>
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<circle cx="515.3" cy="156.0" r="4.5" fill="var(--green)" stroke="var(--card)" stroke-width="2"/>
<text x="780" y="159.5" font-size="10" fill="var(--ink-faint)" text-anchor="end">+0.075 · E 1.21</text>
</g>
<g>
<title>meaning and sense: 0.071 [0.025, 0.117], E-value bound 1.18</title>
<text x="250" y="191.5" font-size="10.5" letter-spacing="1" fill="var(--ink-soft)" text-anchor="end">MEANING AND SENSE</text>
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<circle cx="509.2" cy="188.0" r="4.5" fill="var(--green)" stroke="var(--card)" stroke-width="2"/>
<text x="780" y="191.5" font-size="10" fill="var(--ink-faint)" text-anchor="end">+0.071 · E 1.18</text>
</g>
<g>
<title>short-form health: 0.061 [0.022, 0.100], E-value bound 1.16</title>
<text x="250" y="223.5" font-size="10.5" letter-spacing="1" fill="var(--ink-soft)" text-anchor="end">SHORT-FORM HEALTH</text>
<line x1="434.6" y1="220.0" x2="553.4" y2="220.0" stroke="var(--green)" stroke-width="2" stroke-linecap="round"/>
<circle cx="494.0" cy="220.0" r="4.5" fill="var(--green)" stroke="var(--card)" stroke-width="2"/>
<text x="780" y="223.5" font-size="10" fill="var(--ink-faint)" text-anchor="end">+0.061 · E 1.16</text>
</g>
<g>
<title>body satisfaction: 0.058 [0.021, 0.095], E-value bound 1.16</title>
<text x="250" y="255.5" font-size="10.5" letter-spacing="1" fill="var(--ink-soft)" text-anchor="end">BODY SATISFACTION</text>
<line x1="433.1" y1="252.0" x2="545.8" y2="252.0" stroke="var(--green)" stroke-width="2" stroke-linecap="round"/>
<circle cx="489.4" cy="252.0" r="4.5" fill="var(--green)" stroke="var(--card)" stroke-width="2"/>
<text x="780" y="255.5" font-size="10" fill="var(--ink-faint)" text-anchor="end">+0.058 · E 1.16</text>
</g>
<g>
<title>gratitude: 0.046 [0.002, 0.090], E-value bound 1.05</title>
<text x="250" y="287.5" font-size="10.5" letter-spacing="1" fill="var(--ink-soft)" text-anchor="end">GRATITUDE</text>
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<circle cx="471.1" cy="284.0" r="4.5" fill="var(--gold)" stroke="var(--card)" stroke-width="2"/>
<text x="780" y="287.5" font-size="10" fill="var(--ink-faint)" text-anchor="end">+0.046 · E 1.05</text>
</g>
<g>
<title>body mass index: -0.031 [-0.060, -0.002], E-value bound 1.05</title>
<text x="250" y="319.5" font-size="10.5" letter-spacing="1" fill="var(--ink-soft)" text-anchor="end">BODY MASS INDEX</text>
<line x1="309.7" y1="316.0" x2="398.0" y2="316.0" stroke="var(--gold)" stroke-width="2" stroke-linecap="round"/>
<circle cx="353.9" cy="316.0" r="4.5" fill="var(--gold)" stroke="var(--card)" stroke-width="2"/>
<text x="780" y="319.5" font-size="10" fill="var(--ink-faint)" text-anchor="end">-0.031 · E 1.05</text>
</g>
</svg>
</div>
<p class="fig-caption">Standardised effects of the δ = 5 supported stochastic intervention among baseline non-attenders, with 95% confidence intervals, as reported in the paper. Green marks effects meeting the E-value reliability threshold; gold marks gratitude and body mass index, whose intervals exclude zero but whose E-value bounds fall short of it. The remaining outcomes cluster near zero.</p>
</section>
<section class="report-section">
<p class="kicker kicker-dash">Inference & robustness</p>
<div class="numbered">
<div class="item">
<span class="num">01</span><h3>Estimation</h3>
<p>A sequentially doubly robust estimator with cross-validated machine learning adjusts for 62 baseline covariates and 32 time-varying confounders, with inverse-probability-of-censoring weights for dropout.</p>
</div>
<div class="item">
<span class="num">02</span><h3>Sensitivity</h3>
<p>Each supported effect clears the study's E-value reliability threshold (E-values 1.16–1.25); an unmeasured confounder would need associations of that strength with both attendance and outcome to explain the effect away.</p>
</div>
<div class="item">
<span class="num">03</span><h3>Measurement</h3>
<p>Attendance is self-reported, and measurement error in self-reports would pull estimates towards zero — actual effects may be larger than we report.</p>
</div>
<div class="item">
<span class="num">04</span><h3>Scope</h3>
<p>We estimate total effects of specified changes in attendance rather than mediated pathways, and population averages rather than subgroup effects. Effects probably vary by tradition, belief strength, upbringing, and relationship status; childhood religious socialisation lies outside what adult panel data can identify.</p>
</div>
</div>
</section>
<div class="report-note">
<p class="kicker">Citation</p>
<p>Bulbulia, J. A., Davis, D. E., Park, C., Rice, K. G., Troughton, G., Van Tongeren, D. R., & Sibley, C. G. (2026). Target trial emulation shows that supported causal effects of religious attendance on well-being are selective. <i>Evolutionary Human Sciences</i>, 8, e16. <a href="https://doi.org/10.1017/ehs.2026.10043">doi:10.1017/ehs.2026.10043</a></p>
<p>Data: the New Zealand Attitudes and Values Study. Estimation: supported stochastic interventions with a sequentially doubly robust estimator.</p>
</div>
</div>
```