Evidence map›Paper›PMID 25793254›Full record

ArticleJournal of evidence-informed social work2015

Effects of a Multi-Component Behavioral Intervention (MCI) for Insomnia on Depressive and Insomnia Symptoms in Individuals with High and Low Depression.

Kirsten Johnson, Souraya Sidani, Dana R Epstein

Open access · greenAbstract read
In one paragraph

Article in Journal of evidence-informed social work, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 29% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
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 at 3 institutions in 2 countries.

Kirsten Johnsona Factor-Inwentash Faculty of Social Work , University of Toronto , Toronto , Ontario , Canada.
Souraya Sidani
Dana R Epstein
Phoenix VA Health Care System · USToronto Metropolitan University · CAUniversity of Toronto · CA

Funding

ALTERNATIVE METHODS FOR CLINICAL RESEARCHR01NR005075 · NINR · UNIVERSITY OF TORONTO · PI SIDANI, SOURAYA · 2001 to 2004
$1.4M
NINR NIH HHS NR05075NINR NIH HHS R01 NR005075
6 · The paper itself

Abstract

Insomnia and depression are prevalent and co-occurring conditions that are associated with significant impairment of life. Previous research indicates that cognitive-behavioral interventions for insomnia (CBT-I) can improve both insomnia and depressive symptoms. The aim of the authors in this study was to determine whether a multi-component behavioral intervention (MCI) improved both insomnia and depressive symptoms in persons presenting with insomnia and high levels of depression. The sample consisted of 321 individuals with insomnia who participated in a trial of insomnia treatments; 106 participants had high levels of depression (score ≥ 16 on CES-D) at baseline. Participants either received the MCI or a control treatment (sleep education and hygiene booklet). At post-test, participants with high and low levels of depressive symptoms showed significant improvement in insomnia symptoms. Those with high depression also had significant reductions in depressive symptoms. It can be concluded that for individuals with depression and insomnia, CBT-I is a viable intervention for managing depressive symptoms, which complements other approaches for treating depression.

Indexed as

AdultAgedAged, 80 and overCognitive Behavioral TherapyDepressionFemaleHumansMaleMiddle AgedSleep Initiation and Maintenance DisordersTreatment OutcomeYoung AdultCognitive-behavioraldepressioninsomniamental healthsocial work

Identifiers

PMID25793254
PMCPMC4537669
OpenAlexW2329576814

What OpenQuestion holds

Textmetadata
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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.