Evidence map›Paper›PMID 19453207›Full record

SynthesisSports medicine (Auckland, N.Z.)2009

The antidepressive effects of exercise: a meta-analysis of randomized trials.

Chad D Rethorst, Bradley M Wipfli, Daniel M Landers

Abstract readMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in Sports medicine (Auckland, N.Z.), 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 197 papers, 27 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
197citing papers in PubMed, 27 pooled it
10.8field-weighted citation impact, top 1% 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

197 citing papers in PubMed, 27 syntheses or guidelines pooled it, 535 citations in OpenAlex.

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  16. The 2017 Dutch Physical Activity Guidelines.The international journal of behavioral nutrition and physical activity · 2018
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137 more citing papers are in PubMed but not listed here.

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 1 institution in 1 country.

Chad D RethorstArizona State University, Department of Kinesiology, Tempe, Arizona, USA. chad_rethorst@urmc.rochester.edu
Bradley M Wipfli
Daniel M Landers
Arizona State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Several meta-analyses examining the effects of exercise on depression have been criticized for including studies of poor methodological integrity. More recent meta-analyses addressed the most common criticism by including only randomized control trials; however, these analyses suffer from incomplete literature searches and lack of moderating variable analyses. Using a more extensive search procedure, the current meta-analysis examines the effects of exercise on depressive symptoms in 58 randomized trials (n = 2982). An overall effect size of -0.80 indicates participants in the exercise treatment had significantly lower depression scores than those receiving the control treatment. This frac34; SD advantage represents level 1, Grade A evidence for the effects of exercise upon depression. Analysis of moderating variables examined the influence of population characteristics, exercise characteristics and methodological characteristics. Examination of clinical significance in 16 trials with clinically depressed patients found 9 of 16 exercise treatment groups were classified as 'recovered' at post-treatment, with another three groups classified as 'improved'. Analysis showed dropout rates for the exercise treatment were similar to those found in psychotherapeutic and drug interventions.

Indexed as

Data Interpretation, StatisticalDepressionExerciseHumansRandomized Controlled Trials as Topic

Identifiers

PMID19453207
OpenAlexW2206994582

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.