Evidence map›Paper›PMID 35273874›Full record

ReviewCureus2022

Meta-Analysis of Positive Psychology Interventions on the Treatment of Depression.

Shannon Pan, Kiran Ali, Chanaka Kahathuduwa, Regina Baronia, Yasin Ibrahim

Open access · diamondAbstract readReview
In one paragraph

Review in Cureus, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
6.7field-weighted citation impact, top 3% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 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

5 authors at 2 institutions in 1 country.

Shannon PanPsychiatry, Texas Tech University Health Sciences Center, Lubbock, USA.
Kiran AliPsychiatry, Texas Tech University Health Sciences Center, Lubbock, USA.
Chanaka KahathuduwaPsychiatry, Texas Tech University Health Sciences Center, Lubbock, USA.
Regina BaroniaPsychiatry, Texas Tech University Health Sciences Center, Lubbock, USA.
Yasin IbrahimPsychiatry, Texas Tech University Health Sciences Center, Lubbock, USA.
Texas Tech University · USTexas Tech University Health Sciences Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This meta-analysis examined the efficacy of positive psychology interventions (PPIs) in treating depression in 11 articles. PubMed, Web of Science, and Clinical Key were used to identify papers published from 2010 to 2020 that utilized PPIs. Key terms were "positive psychology" and "treatment of depression." Studies on adults with (a) depressive symptoms or (b) diagnosed clinical depression were included. A random-effects model was used to compare PPIs and control groups on post- vs. pre-intervention differences in depression scores. Data analysis examined Beck Depression Inventory-II (BDI-II), Center for Epidemiologic Studies Depression Scale (CES-D), and Quick Inventory of Depressive Symptomatology-Self-Report (QIDS-SR16) scores. Findings show PPIs are effective in treating depressive symptoms, with significant improvements in depression scores when compared to control groups in all but one study. This was true for both post- vs. pre-intervention (pooled Cohen's d = -0.44 (-0.77, -0.11)) and follow-up- vs. pre-intervention analyses (pooled Cohen's d = -0.46 (-1.02, 0.09)). PPIs can improve the accessibility and affordability of depression treatments.

Indexed as

depressiongratitudeoptimismpositive psychologypsychotherapytreatment of depressionwell-being

Identifiers

PMID35273874
PMCPMC8901085
OpenAlexW4210795229

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.