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Record W3171053459 · doi:10.1177/13591045211024226

Understanding and mitigating the environmental barriers that patients with major depressive disorder face when transitioning to independent exercise

2021· letter· en· W3171053459 on OpenAlexaff
Nilanga Aki Bandara

Bibliographic record

VenueClinical Child Psychology and Psychiatry · 2021
Typeletter
Languageen
FieldMedicine
TopicPhysical Activity and Health
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsFace (sociological concept)PsychologyMedicineSociology

Abstract

fetched live from OpenAlex

Jarbin et al.'s (2021) study highlight the potential benefits of a group exercise program for young patients with persistent major depression.When evaluating the exercise program's impact on depressive symptoms in the long-term, there was a statistically significant (p < .001)reduction in scores of both the Quick Inventory of Depressive Symptomatology (QIDS-A) clinicianadministered and self-reported versions.Further, when comparing baseline to one-year followup, the metric used to measure wellbeing found a statistically significant (p = .011)improvement in participants' wellbeing.However, the authors share an important consideration involving the challenges associated with transitioning from group-based exercise programs to independently directed exercise.This challenge can limit participation in exercise, thus hindering the benefits of exercise.One of the potential reasons for this observed challenge could be due to environmental barriers associated with exercise, including the distance to gyms and gym costs (Glowacki et al., 2017;Monteiro et al., 2020).These environmental barriers can make it quite challenging for young people with persistent depression to exercise independently.Distance to the gym was a barrier noted by Monteiro et al. (2020), in this study 53.2% of participants either agreed or strongly agreed that distance to the gym was a barrier to exercise.Other studies in the literature have found that the distance to physical activity resources, such as gyms, are negatively correlated with physical activity (Jilcott et al., 2007).Further, given the age of adolescents, they may not have access to a driver's license or vehicle for transportation to physical activity spaces that are not accessible by public transportation.One way to mitigate the barrier of gym distance is to provide patients transitioning from group-based to individual exercise programs with home gym equipment and virtual instruction resources.This intervention is even more appealing given our current context living amidst the Covid-19 pandemic, where access to many physical activity resources have been limited.By engaging in physical activity at home with sufficient equipment, the issue of distance to physical activity resources is greatly reduced.Further,

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)0.002
metaresearch head score (Gemma)0.016
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.028
Threshold uncertainty score0.040

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.016
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0060.002
Scholarly communication0.0030.003
Open science0.0010.002
Research integrity0.0280.027
Insufficient payload (model declined to judge)0.0040.002

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 head0.052
GPT teacher head0.325
Teacher spread0.274 · 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 designQualitative
Domainnot available
GenreOther

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

Citations3
Published2021
Admission routes1
Has abstractno

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