Evidence map›Paper›PMID 25888411›Full record

ArticleBMC complementary and alternative medicine2015

Establishing key components of yoga interventions for reducing depression and anxiety, and improving well-being: a Delphi method study.

Michael de Manincor, Alan Bensoussan, Caroline Smith, Paul Fahey, Suzanne Bourchier

Abstract read
In one paragraph

Article in BMC complementary and alternative medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 2 pooled it
–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

25 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  12. Determining Contextual Factors for a Heart Failure Self-Care Intervention: A Consensus Delphi Study (ACHIEVE).Health education & behavior : the official publication of the Society for Public Health Education · 2024
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  16. A Randomised Controlled Trial ofJournal of functional morphology and kinesiology · 2022
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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.

Michael de ManincorNational Institute of Complementary Medicine (NICM), University of Western Sydney, Campbelltown Campus, Locked Bag 1797, Penrith, NSW, 2751, Australia. m.demanincor@uws.edu.au.
Alan BensoussanNational Institute of Complementary Medicine (NICM), University of Western Sydney, Campbelltown Campus, Locked Bag 1797, Penrith, NSW, 2751, Australia. a.bensoussan@uws.edu.au.
Caroline SmithNational Institute of Complementary Medicine (NICM), University of Western Sydney, Campbelltown Campus, Locked Bag 1797, Penrith, NSW, 2751, Australia. c.smith@uws.edu.au.
Paul FaheyNational Institute of Complementary Medicine (NICM), University of Western Sydney, Campbelltown Campus, Locked Bag 1797, Penrith, NSW, 2751, Australia. p.fahey@uws.edu.au.
Suzanne BourchierNational Institute of Complementary Medicine (NICM), University of Western Sydney, Campbelltown Campus, Locked Bag 1797, Penrith, NSW, 2751, Australia. s.bourchier@uws.edu.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrevious research suggests benefits of yoga in reducing depression and anxiety. However, common concerns in reviews of the research include lack of detail, rationale and consistency of approach of interventions used. Issues related to heterogeneity include amount, types and delivery of yoga interventions. This study aims to document consensus-based recommendations for consistency of yoga interventions for reducing depression and anxiety.

methodsThe Delphi method was used to establish consensus from experienced yoga teachers. Thirty-three eligible teachers were invited to participate, from four different countries. Two rounds of an online survey were sent to participants. The first round sought initial views. The second round sought consensus on a summary of those views. Survey questions related to frequency and duration (dosage) of the yoga, approaches and techniques to be included or avoided, and training and experience for yoga teachers.

resultsTwenty-four teachers agreed to participate. Eighteen completed the second round (n = 18). General consensus (>75% of participants in agreement) was achieved on parameters of practice (dosage): an average of 30 to 40 minutes, to be done 5 times per week, over a period of 6 weeks. Numerous recommendations for yoga techniques to include or avoid were collected in the first round. The second round produced a consensus statement on those recommendations. Breath regulation and postures were considered very important or essential for people with depression; and relaxation, breath regulation and meditation being very important or essential for people with anxiety. Other recommended components also achieved consensus. There was also general consensus that it is very important or essential for teachers to have a minimum of 500 training hours over 2 years, at least 2 years teaching experience, training in developing personalised yoga practices, training in yoga for mental health, and professional supervision or mentoring.

conclusionsThe Delphi process has achieved a consensus statement on the application of yoga for reducing anxiety and depression. This consensus provides a checklist for identification of commonalities and evaluation of past research. Future research can proceed to develop and evaluate consensus-based yoga intervention protocols for the reduction of anxiety and depression, and improvements in well-being.

Indexed as

AdultAnxietyAnxiety DisordersBreathing ExercisesClinical ProtocolsConsensusDelphi TechniqueDepressionDepressive DisorderHealth PersonnelHumansMaleMeditationMuscle RelaxationSurveys and QuestionnairesYoga

Identifiers

PMID25888411
PMCPMC4384362

What OpenQuestion holds

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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.