Evidence map›Paper›PMID 33942710›Full record

ArticleBJPsych open2021

Psychological distress across the deployment cycle: exploratory growth mixture model.

Oscar A Cabrera, Amy B Adler

Abstract read
In one paragraph

Article in BJPsych open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
  2. Article
  3. The association of multi-system conditions on mental health trajectories during naval deployment.Military psychology : the official journal of the Division of Military Psychology, American Psychological Association · 2025
    Article
  4. Longitudinal measurement invariance and growth curve modeling of psychological resilience across the deployment cycle.Military psychology : the official journal of the Division of Military Psychology, American Psychological Association · 2024
    Article
  5. Article
  6. Article
4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Oscar A CabreraU.S. Army Medical Research Directorate-West, Walter Reed Army Institute of Research, Joint Base Lewis-McChord, USA.ORCID https://orcid.org/0000-0001-8351-0695
Amy B AdlerWalter Reed Army Institute of Research, USA.ORCID https://orcid.org/0000-0002-0886-5530

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrior research has identified behavioural health outcomes as key sequelae to combat deployment. However, relatively little is known about differential patterns of change in depression or generalised anxiety linked to deployment to a combat zone. In this paper, we add to the existing trajectory literature and examine key predictive factors of behavioural health risk.

aimsThe primary aim is to leverage growth mixture modelling to ascertain trajectories of psychological distress, operationalised as a coherent construct combining depression and generalised anxiety, and to identify factors that differentiate adaptive and maladaptive patterns of change.

methodData were collected from a brigade combat team prior to a combat deployment to Afghanistan, during deployment, at immediate re-integration and approximately 2-3 months thereafter. The main outcome was measured using the Patient Health Questionnaire Anxiety and Depression Scale (PHQ-ADS).

resultsThree latent trajectories were identified: a low-stable trajectory, a declining trajectory and a rising trajectory. Most individuals aligned with the low-stable trajectory. A conditional model using covariates measured during deployment showed that the low-stable trajectory differed consistently from the remaining trajectories on self-reported loneliness and non-combat deployment stressors.

conclusionsThe examination of differential patterns of adaptation, to identify individuals at higher risk, is critical for the efficient targeting of resources. Our findings further indicate that loneliness may be a useful leverage point for clinical and organisational intervention.

Indexed as

anxiety disorderscomorbiditydepressive disordersmilitary psychiatryTrauma

Identifiers

PMID33942710
PMCPMC8142545

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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.