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Record W7000030208

The effect of the Reaset Approach on the autonomic nervous system, state-trait anxiety and musculoskeletal pain in patients with work-related stress: A pilot study

2014· other· en· W7000030208 on OpenAlexaboutno aff

Bibliographic record

VenueQucosa (Saxon State and University Library Dresden) · 2014
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsAutonomic nervous systemAnxietyHeart rateSympathetic nervous systemNervous system
DOInot available

Abstract

fetched live from OpenAlex

Background: Work-related stress (WRS) is associated with musculoskeletal pain (MSP), changes in the autonomic nervous system (ANS) and anxiety. Objective: To determine the feasibility of a follow-up study and treatment efficacy of the Reaset Approach on MSP, ANS and State-Trait anxiety. Methods: 15 subjects with WRS and MSP were assigned into 3 groups (Body, Head-Neck, Head-Neck-Body). Each group received a single 25 minute ‘Reaset Approach’ intervention. Heart rate variability (HRV), electro-dermal activity (EDA), State Trait Anxiety (STAI) and MSP were measured. Results: HRV parameters: SDNN increased in 13 of 15 subjects while SD1 and SD2 increased in 12 of 15 subjects. EDA reduced in 10 of 14 subjects. State Anxiety reduced in all subjects and Trait Anxiety reduced in 14 of 15 subjects. MSP reduced in all subjects after the intervention and were still lower three days afterwards. Conclusions: This pilot study determined that a follow-up study can ensue provided minor modifications are implemented and that the ‘Reaset Approach’ has an influence on the ANS, anxiety and MSP. Results do differ between groups. The intervention groups including the head and neck modalities demonstrated better results.:I. Abstract (En) III II. Abstract (De) IV III. Table of Contents V IV. Index of figures VIII V. Index of tables IX VI. Index of abbreviations X 1 Introduction 1 2 Background 2 2.1 Work-related musculoskeletal pain 2 2.2 Work-related stress 3 2.3 Osteopathy and the autonomic nervous system 3 2.4 Stress, pain and osteopathy 4 3 Questions 6 3.1 Feasibility 6 3.2 Treatment effect 6 4 Methods 7 4.1 Study design 7 4.2 Participants 8 4.2.1 Inclusion criteria 8 4.2.2 Exclusion criteria 8 4.2.3 Recruitment 8 4.2.4 Randomization 10 4.3 Parameters 11 4.3.1 Heart rate variability 11 4.3.2 Electro-dermal activity 11 4.3.3 State anxiety 11 4.3.4 Trait anxiety 12 4.3.5 Perceived pain 12 4.4 Measuring Instruments 13 4.4.1 Heart rate variability 13 4.4.2 Electro-dermal Activity 13 4.4.3 State-Trait Anxiety Inventory 13 4.4.4 Short-Form McGill Pain Questionnaire 13 4.5 Interventions 14 4.5.1 Intervention ‘B’: Body 14 4.5.2 Intervention ‘HN’: Head and Neck 16 4.5.3 Intervention ‘HNB’: Head, Neck and Body 16 4.6 Study flow 18 4.7 Statistics 20 5 Results 21 5.1 Autonomic nervous system: Heart rate variability 21 5.1.1 SDNN 22 5.1.2 SD1 25 5.1.3 SD2 28 5.2 Autonomic Nervous System: Electro-dermal activity 31 5.3 Anxiety 34 5.3.1 State anxiety 34 5.3.2 Trait anxiety 37 5.4 Musculoskeletal pain 39 5.4.1 Visual analogue scale 40 5.4.2 Total Short-Form McGill Pain Questionnaire 43 6 Discussion 46 6.1 Discussion of the method 46 6.2 Discussion of the results 50 6.2.1 Autonomic nervous system 50 6.2.1.1 Heart rate variability 50 6.2.1.2 Electro-dermal activity 51 6.2.2 Anxiety 51 6.2.2.1 State anxiety 51 6.2.2.2 Trait Anxiety 52 6.2.3 Musculoskeletal pain 52 6.3 Suggestions for future research 53 7 Conclusion 54 8 Literature 55 9 Addendum 63 9.1 Table: SF-MPQ with Sensory, Affective and Evaluative dimension 63 9.2 Patient Information Sheet 64 9.3 Structured telephone interview 70 9.4 Structured pre-treatment interview 72 9.5 SF-MPQ permission 73 9.6 SF-MPQ 74 9.7 STAI License 76 9.8 STAI forms Y-1 and Y-2 77

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.034
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.004
GPT teacher head0.166
Teacher spread0.162 · 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 teacher head, not a consensus.

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

Citations0
Published2014
Admission routes1
Has abstractyes

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