Evidence map›Paper›PMID 36174154›Full record

ArticlePsychological trauma : theory, research, practice and policy2024

Longitudinal patterns of posttraumatic stress disorder symptoms among sexual assault survivors: A latent transition analysis.

Rachael Goodman-Williams, Shaunna L Clark, Rebecca Campbell, Sarah E Ullman

Open access · hybridAbstract read
In one paragraph

Article in Psychological trauma : theory, research, practice and policy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.8field-weighted citation impact, top 28% of its field
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

4 citing papers in PubMed, 4 citations in OpenAlex.

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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

4 authors at 4 institutions in 1 country.

Rachael Goodman-WilliamsDepartment of Psychology, Wichita State University.ORCID 0000-0002-9458-9703
Shaunna L ClarkDepartment of Psychiatry, Texas A&M University.
Rebecca CampbellDepartment of Psychology, Michigan State University.ORCID 0000-0003-0442-9835
Sarah E UllmanDepartment of Criminology, Law, and Justice, University of Illinois at Chicago.
Michigan State University · USTexas A&M University · USUniversity of Illinois Chicago · USWichita State University · US

Funding

National Institute on Alcohol Abuse and Alcoholism
6 · The paper itself

Abstract

objectiveThe aim of this study was to identify latent classes of posttraumatic stress disorder (PTSD) symptoms in a community sample of sexual assault survivors whose assaults occurred varying lengths of time in the past and to explore patterns of transition between those latent classes over time.

methodLatent class analysis was used to identify naturally occurring subgroups of PTSD symptoms in a sample of sexual assault survivors who completed two mailed surveys 1 year apart (

resultsA four-class model emerged as the best fitting model at both Time 1 and Time 2. Classes demonstrated overall severity and symptom cluster severity differences. Transition into a lower severity class was more common than transition into a higher severity class, though escalation was demonstrated by 6-20% of participants in each latent class.

conclusionsThe substantial heterogeneity in sexual assault survivors' PTSD symptoms highlights the variety of ways that posttraumatic stress may be experienced years after a sexual assault. Future research should explore factors that affect long-term symptoms, including cumulative lifetime trauma and social support. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Indexed as

Latent Class AnalysisSex OffensesStress Disorders, Post-TraumaticSurvivorsAdultCrime VictimsFemaleHumansLongitudinal StudiesMaleMiddle AgedSeverity of Illness IndexYoung Adult

Identifiers

PMID36174154
PMCPMC10386878
OpenAlexW4297998721

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.