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Record W4220835517 · doi:10.1186/s12891-022-05227-7

Effects of back exercises versus transcutaneous electric nerve stimulation on relief of pain and disability in operating room nurses with chronic non-specific LBP: a randomized clinical trial

2022· article· en· W4220835517 on OpenAlexaboutno aff
Fereshteh Jalalvandi, Reza Ghasemi, Maryam Mirzaei, MohammadBagher Shamsi

Bibliographic record

VenueBMC Musculoskeletal Disorders · 2022
Typearticle
Languageen
FieldMedicine
TopicMusculoskeletal pain and rehabilitation
Canadian institutionsnot available
FundersKermanshah University of Medical Sciences
KeywordsMedicineTranscutaneous electrical nerve stimulationPhysical therapyLow back painRandomized controlled trialRandomizationClinical trialPsychological interventionSports medicineBack painPhysical medicine and rehabilitationSurgeryNursingInternal medicineAlternative medicine

Abstract

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BACKGROUND: Low back pain (LBP) is one of the most common musculoskeletal disorders related to working. Due to the nature of nursing work, this problem is often seen in nurses, including those who work in the operating rooms. Depending on the cause, there are various surgical and non-surgical methods to treat LBP. The present study was aimed to compare the effect of two therapeutic methods of back exercises and transcutaneous electrical nerve stimulation (TENS) on the disability and pain of operating room nurses with LBP. METHODS: In this clinical trial forty-four eligible operating room nurses (30 women, 14 men, mean age: 37.86 ± 6.74) with chronic nonspecific LBP were randomly assigned to back exercises (including the strengthening and stretching exercise (n = 22)) or TENS (n = 22) groups by permuted block randomization method. These interventions were performed in both groups three sessions of 15 min per week for 6 weeks. The McGill pain questionnaire for back pain and the Oswestry disability questionnaire for disability assessment were completed immediately before and after the interventions. RESULTS: After 6 weeks, the mean of pain and disability decreased significantly in both groups compared to the baseline. Based on the results, significant decreases in the pain score (mean difference (95% CI): - 8.95 (- 12.77 to - 5.14); P-value < 0.001) and disability score (mean difference (95% CI): - 8.73(- 12.42 to - 5.03); P-value < 0.001) were revealed in the back exercises group after the intervention compared to the baseline. In addition, after the intervention in TENS group, the mean pain intensity and disability showed significant decrease, respectively (mean difference (95% CI): - 16.18 (- 19.81 to - 12.55); P-value < 0.001; mean difference (95% CI): - 15.82 (- 19.24 to - 12.40); P-value < 0.001). After adjusting for the baseline values, the TENS group had a significantly higher pain score reduction than the back exercises group (mean difference (95% CI): - 4.23 (- 8.03 to - 0.44); P-value =0.030; Cohen's d = 0.81). In addition, TENS led to a significant more decrease in the disability scores compared to the back exercises (mean difference (95% CI): - 3.99 (- 7.35 to - 0.64); P-value =0.021; Cohen's d = 0.73). Furthermore, a statistically significant time by group interaction effect on pain and disability score was found (interaction p < 0.001). CONCLUSION: Pain and disability were improved in both groups following 18 intervention sessions. However, pain and disability were improved to a greater extent in the TENS group than in the back exercises group. TRIAL REGISTRATION: The trial was retrospectively registered in the Iranian Registry of Clinical Trials ( www.irct.ir ) on 03/02/2019 as IRCT20180408039227N1 .

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)0.003
metaresearch head score (Gemma)0.003
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 score0.009
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0050.002
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0090.001

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 head0.013
GPT teacher head0.304
Teacher spread0.291 · 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

Citations18
Published2022
Admission routes1
Has abstractyes

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