Evidence map›Paper›PMID 35510827›Full record

ArticleJournal of clinical psychology2022

The relationship between distress tolerance and symptoms of depression: Validation of the Distress Tolerance Scale (DTS) and short-form (DTS-SF).

Ruby J Brown, Amy L Burton, Maree J Abbott

Abstract read
In one paragraph

Article in Journal of clinical psychology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

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  9. Perceived discrimination and problematic opioid use among Black individuals with chronic musculoskeletal pain.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2024
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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

3 authors.

Ruby J BrownClinical Psychology Unit, School of Psychology, The University of Sydney, Sydney, New South Wales, Australia.
Amy L BurtonClinical Psychology Unit, School of Psychology, The University of Sydney, Sydney, New South Wales, Australia.ORCID 0000-0002-6641-6442
Maree J AbbottClinical Psychology Unit, School of Psychology, The University of Sydney, Sydney, New South Wales, Australia.ORCID 0000-0002-2188-4664

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveDistress tolerance (DT) has been found to be implicated in the development and maintenance of depressive symptomatology and various other significant psychological conditions. As such, it is critical to have measures of DT that are effective and easy to administer. This study aimed to examine the factor structure, psychometric properties, and clinical utility of the Distress Tolerance Scale (DTS) and the short-form version, the Distress Tolerance Scale Short-form (DTS-SF), in a large population of individuals with varying levels of self-reported depressive symptoms.

methodA total of 959 participants completed an online battery of questionnaires which included an assessment of depressive symptoms as well as the DTS and related measures. Results: Confirmatory factor analyses validated the four-factor structure of the DTS and the one-factor structure of the DTS-SF. Good construct validity and good internal consistency were observed across both the DTS and DTS-SF.

conclusionOverall, this paper provides new evidence for the validity, reliability and discriminative ability of the DTS and the brief version of the questionnaire, the DTS-SF.

Indexed as

DepressionFactor Analysis, StatisticalHumansPsychometricsReproducibility of ResultsSurveys and Questionnairesdepressiondistress toleranceDistress Tolerance ScaleDTSfactor analysispsychological distresspsychometric

Identifiers

PMID35510827
PMCPMC9790670

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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.