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Record W4400957461 · doi:10.61838/kman.intjssh.7.3.2

Perceived Barriers and Facilitators to Physical Activity Among Individuals with Disabilities: A Qualitative Study

2024· article· en· W4400957461 on OpenAlexaffabout
Abbie Wilson, Veronica Longo, James Ma, Solmaz Bulut

Bibliographic record

VenueInternational journal of Sport Studies for Health · 2024
Typearticle
Languageen
FieldHealth Professions
TopicSports and Physical Education Research
Canadian institutionsToronto Rehabilitation Institute
Fundersnot available
KeywordsPsychologyQualitative researchPhysical activityGerontologyClinical psychologyDevelopmental psychologyMedicinePhysical therapySociology

Abstract

fetched live from OpenAlex

Objective: This study aimed to explore the perceived barriers and facilitators to physical activity among individuals with disabilities. Methods and Materials: A qualitative phenomenological approach was employed to capture the experiences of individuals with disabilities. Participants were recruited from visitors of York Rehab Clinic in Canada, meeting the criteria of being aged 18 and above, having a physical disability, and being capable of providing informed consent. Data were collected through semi-structured interviews with 23 participants until theoretical saturation was reached. Interviews were transcribed verbatim and analyzed using thematic analysis, supported by NVivo software, to identify key themes and subthemes. Findings: The study identified several barriers and facilitators to physical activity. Physical barriers included accessibility issues, transportation challenges, environmental barriers, and health-related limitations. Social barriers encompassed lack of social support, attitudinal barriers, lack of awareness, dependency on caregivers, and negative past experiences. Facilitators included supportive environments, social encouragement, professional guidance, motivational factors, adapted programs, and technological aids. Psychological factors such as self-efficacy, mental health benefits, perceived benefits, fear of injury, motivation fluctuations, and coping strategies also played significant roles in influencing physical activity participation. Conclusion: The findings underscore the multifaceted nature of barriers and facilitators to physical activity among individuals with disabilities. Addressing physical accessibility, fostering supportive social environments, providing professional guidance, and leveraging technological aids are crucial for promoting physical activity participation. Future research should incorporate larger, diverse samples and explore tailored strategies for different types of disabilities. Practical recommendations include improving facility accessibility, enhancing social support, and integrating technology to facilitate physical activity.

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)0.008
metaresearch head score (Gemma)0.010
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.040

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.010
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0060.004
Scholarly communication0.0020.002
Open science0.0010.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.125
GPT teacher head0.591
Teacher spread0.466 · 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
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

Citations9
Published2024
Admission routes2
Has abstractyes

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