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Record W4392589097 · doi:10.3390/bs14030219

Effectiveness of Group Physical Exercise in Treating Major Depressive Disorder: An Analysis of Secondary Data from an Aborted Randomized Trial

2024· article· en· W4392589097 on OpenAlexafffund
Hossam Eldin Elgendy, Reham Shalaby, Belinda Agyapong, Deanna Lesage, Lacey Paulsen, Amy Delday, Sherianna Duiker, Shireen Surood, Yifeng Wei, Nnamdi Nkire, Vincent I. O. Agyapong

Bibliographic record

VenueBehavioral Sciences · 2024
Typearticle
Languageen
FieldMedicine
TopicPhysical Activity and Health
Canadian institutionsDalhousie UniversityAlberta Health ServicesUniversity of Alberta
FundersAlberta InnovatesAlberta Health Services
KeywordsBeck Depression InventoryDepression (economics)Major depressive disorderPhysical therapyRandomized controlled trialMedicineMental healthClinical trialPsychologyPsychiatryInternal medicineAnxietyMood

Abstract

fetched live from OpenAlex

Background: Depression is highly prevalent and a significant cause of mortality and morbidity across the globe. Although antidepressants and/or psychotherapy are often used to treat depression, some recent studies indicate that exercise may play an important role in lowering depression symptoms among patients meeting the clinical criteria of a depressive episode. Objectives: This study aimed to evaluate the mental health and wellbeing of adult participants diagnosed with major depressive disorder (MDD) after fourteen weeks of receiving a supervised physical exercise program. Methods: In a pre-post design, the assessments were performed at baseline, seven weeks and fourteen weeks following the exercise intervention program using facilitated self-reported psychometric scales. The Beck Depression Inventory (BDI-2) and Clinical Outcomes in Routine Evaluation—Outcome Measure (CORE-OM) were used to assess depression. The short form of the International Physical Activity Questionnaire (IPAQ) was used for the self-reporting of participants’ physical activity. Results: At the beginning of the study, the baseline total mean scores and standard deviations for the BDI-2, CORE-OM, and IPAQ in both genders did not differ significantly (p-value > 0.05). Patients showed significant improvement in all assessment scales after completing fourteen weeks of the physical exercise program. Based on the BDI-2, the baseline score dropped from 31.25 (indicating moderate to severe depression) to 14.25 (indicating mild to minimal depression), with a p-value of <0.001. The CORE-OM total mean score was reduced from 1.91 to 0.98 with a significant p-value < 0.005 indicating effective clinical improvement in depression symptoms. The IPAQ total MET-minutes/week mean score increased from 1713.22 to 4367.62, indicating an improvement in the participants’ weekly P.E. intake; however, the change was not statistically significant (p = 0.07). Conclusions: Exercise treatment is linked with considerable therapeutic improvement in patients with MDD, particularly when exercise is sustained over time. The BDI-2 and CORE-OM total scores significantly decreased after the fourteen-week P.E. programme, indicating a change from moderate and severe depression to minimal and mild depression. Our findings offer insightful information to primary care doctors and psychiatrists, indicating that prescribing exercise to depressed patients may be a helpful adjunctive therapy.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.009
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.047

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.011
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0060.006
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0060.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.066
GPT teacher head0.431
Teacher spread0.364 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations6
Published2024
Admission routes2
Has abstractyes

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