Pooled effect sizes for deployment on mental health are robust across components of methodological quality in sensitivity analyses¶
Claim · All claims
Evidence · 1 study · quant-synthesisr3·q3
Currency · newest study 2018 · not yet checked against its sources · not reviewed by a person
Subclaims¶
Reading the evidence codes
q is the design tier, i the impact, n the sample, and the kind with its r
the rigour judged within that kind: what each code means.
This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.
q3 i? Sensitivity analyses evaluating robustness across components of methodological quality resulted in no appreciable change in effect size. → Bøg M 2018
Evidence¶
Bøg M 2018¶
Bøg M, Filges T, & Jørgensen A.M.K. (2018). Deployment of personnel to military operations: impact on mental health and social functioning. Campbell Systematic Reviews. https://doi.org/10.4073/csr.2018.6
q3 · i? · quant-synthesis · r3
Within the review's data synthesis, sensitivity analysis was used to evaluate whether the pooled effect sizes were robust across components of methodological quality; the review reports "no appreciable change in effect size, suggesting that the results are robust." No re-estimated effect sizes are printed.
"Sensitivity analyses resulted in no appreciable change in effect size, suggesting that the results are robust."
Discussion¶
Related Claims¶
- The effect of deployment on mental health outcomes does not differ by branch of service or duty/enlistment status — related
- Long-term prevalence of post-deployment mental health problems is expected to exceed pre-deployed/non-deployed baseline ranges across all four outcome domains — related
- For assessments taken less than 24 months since exposure, the evidence on deployment effects on mental health is inconclusive — related
- More than 24 months after exposure, deployed personnel have higher odds of screening positive for PTSD, depression, substance use and common mental disorder than non-deployed personnel — related
- Sensitivity analyses restricting to students assessed in all 15 terms reproduced the full-sample between-group comparisons — a narrower finding that bears on this claim
- Leave-one-out sensitivity analysis confirms the pooled productivity effect is robust (g = 0.24–0.38, all p < 0.05), with two studies (P002, P004) exerting disproportionate influence. — related
- Pooled active-break effect estimates are robust to sensitivity analyses varying within-study correlation and excluding individual studies — related
- In long-term assessments, personnel reporting high combat exposure have higher odds of screening positive for PTSD and depression than personnel reporting lower exposure — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
deployment-meta-analysis-robust-sensitivity |
title |
Pooled effect sizes for deployment on mental health are robust across components of methodological quality in sensitivity analyses |
description |
Pooled effect sizes for deployment on mental health are robust across components of methodological quality in sensitivity analyses |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2018 |
generated |
by process:wiki-ingest on 2026-10-08 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — bøg-m-2018 |
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