Evidence map›Paper›PMID 25984638›Full record

ArticlePsychological assessment2015

Development of a composite trauma exposure risk index.

Honghu Liu, Nicole Prause, Gail E Wyatt, John K Williams, Dorothy Chin, Teri Davis, Tamra Loeb, Erica Marchand, Muyu Zhang, Hector F Myers

Abstract read
In one paragraph

Article in Psychological assessment, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

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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

10 authors.

Honghu LiuSchool of Dentistry-Public Health, Department of Medicine, David Geffen School of Medicine, University of California.
Nicole PrauseDepartment of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles.
Gail E WyattDepartment of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles.
John K WilliamsDepartment of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles.
Dorothy ChinDepartment of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles.
Teri DavisDepartment of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles.
Tamra LoebDepartment of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles.
Erica MarchandCenter for Cancer Prevention and Control Research, School of Public Health and Jonsson Comprehensive Cancer Center, University of California, Los Angeles.
Muyu ZhangDepartment of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles.
Hector F MyersCenter for Medicine, Health, and Society, Vanderbilt University.

Funding

The Collaborative Center for Trauma and Mental Health DisparitiesP50MH073453 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI WYATT, GAIL E. · 2006 to 2011
$3.9M
An HIV Intervention for Black Men at RiskR34MH077550 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI WILLIAMS, JOHN K. · 2007 to 2009
$911k
NIMH NIH HHS 1 R34 MH077550NIMH NIH HHS 5P50MH073453NIMH NIH HHS P50 MH073453NIMH NIH HHS R34 MH077550
6 · The paper itself

Abstract

The high burden of exposure to chronic life adversities and trauma is quite prevalent, but assessment of this risk burden is uncommon in primary care settings. This calls for a brief, multiple dimensional mental health risk screening tool in primary care settings. We aimed to develop such a screening tool named the University of California, Los Angeles (UCLA) Life Adversities Screener (LADS). Using pooled data across 4 studies from the UCLA Center for Culture, Trauma, and Mental Health Disparities, 5 domains of mental health risk including perceived discrimination, sexual abuse histories, family adversity, intimate partner violence, and trauma histories, were identified. Regression models for depression (Centers for Epidemiology Studies Depression Scale) and posttraumatic stress disorder (Posttraumatic Diagnostic Scale), controlling for demographic factors, were fitted to develop a weighted continuous scale score for the UCLA LADS. Confirmatory factor analysis supported the 5-domain structure, while item response theory endorsed the inclusion of each item. Receiver operating characteristic analysis indicated that the score was predictive for classifying subjects as reaching clinical threshold criteria for either depression (Beck Depression Inventory-II ≥ 14 or Patient Health Questionnaire-9 ≥ 10) or anxiety (Patient Health Questionnaire-13 ≥10). An optimal cut of 0.33 is suggested based on maximizing sensitivity and specificity of the LADS score, identifying patients at high risk for mental health problems. Given its predictive utility and ease of administration, the UCLA LADS could be useful as a screener to identify racial minority individuals in primary care settings who have a high trauma burden, needing more extensive evaluation.

Indexed as

AdolescentAdultAdult Survivors of Child AbuseAgedChild Abuse, SexualDepressionDepressive DisorderExposure to ViolenceFactor Analysis, StatisticalFemaleHumansIntimate Partner ViolenceMaleMass ScreeningMental HealthMiddle Aged

Identifiers

PMID25984638
PMCPMC4853026

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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.