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Record W4280634224 · doi:10.3390/ijerph19106025

The Effects of Meditation with Stabilization Exercise in Marine Region on Pain, Tactile Sense, Muscle Characteristics and Strength, Balance, Quality of Life, and Depression in Female Family Caregivers of People with Severe Physical Disabilities: A Randomized Single-Blinded Controlled Pilot Study

2022· article· en· W4280634224 on OpenAlexaff
Ho‐Jin Shin, Sung‐Hyeon Kim, Hwi-young Cho, Jae-Hon Lee

Bibliographic record

VenueInternational Journal of Environmental Research and Public Health · 2022
Typearticle
Languageen
FieldMedicine
TopicStroke Rehabilitation and Recovery
Canadian institutionsWestern University
FundersMinistry of Oceans and FisheriesGachon University
KeywordsMeditationPhysical therapyBalance (ability)Quality of life (healthcare)MedicineDepression (economics)Physical medicine and rehabilitationGrip strengthIntervention (counseling)PsychologyNursing

Abstract

fetched live from OpenAlex

Female caregivers of people with disabilities are burdened physically and mentally. To improve these symptoms, an intervention that is easy to apply and has fewer side effects, such as natural healing, has been proposed, but the effect of healing using marine resources is unclear until now. The purpose of this study is to investigate the effect of meditation accompanied with stabilization exercise in the marine region on the improvement of pain, tactile sense, muscle characteristics, muscle strength, balance, quality of life, and depression in female caregivers of people with severe physical disabilities. Twenty-four female family caregivers were recruited and were randomly assigned to the marine therapy group (MTG, n = 12) and the control group (CG, n = 12). Both groups performed the same meditation (35 min) and stabilization exercise (25 min) twice a day for 3 nights and 4 days per session (total 8 sessions). The MTG performed these in the marine region, whereas the CG performed the interventions in the urban region. Pain (pain intensity and pain pressure threshold), tactile sense (tactile spatial acuity), muscle characteristics (stiffness, elasticity), muscle strength (hand and pinch grip strength), balance, quality of life, and depression were measured before and after the intervention and 4 weeks after the intervention. Both groups showed significant improvements in pain intensity (resting pain: f(2) = 72.719, p < 0.001; movement pain: f(2) = 24.952, p < 0.001), muscle strength (right pinch grip: f(2) = 15.265, p < 0.001), and depression (f(2) = 13.312, p < 0.001), while tactile spatial acuity (TSA) (upper part: f(2) = 14.460, p < 0.001; lower part: f(2) = 7.672, p = 0.002), dynamic balance (f(2) = 4.196, p = 0.024), and quality of life (overall quality of life & general health: f(2) = 5.443, p = 0.009; physical health: f(2) = 13.991, p < 0.001; psychological: f(2) = 9.946, p < 0.001; environmental: f(2) = 20.004, p < 0.001; total: f(2) = 11.958, p < 0.001) were significantly improved only in MTG. There was no significant change in pain pressure threshold (upper trapezius (UT): f(2) = 0.765, p = 0.473; levator scapula (LS): f(2) = 0.213, p = 0.809; splenius capitis (SC): f(2) = 0.186, p = 0.831) and muscle characteristics (UT stiffness: f(2) = 1.486, p = 0.241; UT elasticity: f(2) = 0.358, p = 0.702; LS stiffness: f(2) = 2.440, p = 0.102; LS elasticity: f(2) = 0.544, p = 0.585) in both groups. In comparison between groups, the MTG showed a significant difference in sensory function compared to the CG (resting pain: f(2) = 10.487, p = 0.005; lower part: f(2) = 5.341, p = 0.034 in TSA). Our findings suggest that meditation combined with stabilization exercise improved pain, muscle strength, and depression of female caregivers. In particular, greater benefits on tactile sense, balance, and quality of life were found in performing these in the marine region compared to the urban region.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.035
GPT teacher head0.329
Teacher spread0.295 · 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 designRandomized trial
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
Published2022
Admission routes1
Has abstractyes

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