Dataset & Code: Immediate Effects of DTM in Older Women with CNLBP

This record contains the minimal dataset and code underlying the analyses of the randomized controlled trial “Immediate Effects of Deep Tissue Massage on Pain, Flexibility and Activity of Selected Muscles in Older Women with Chronic Non-specific Low Back Pain”. Contents– Minimal dataset (Excel/SPSS): variables for VAS (pre/post), trunk extension (pre/post), and %MVIC for GM, BF, ST, RF, VL, VM (pre/post), plus demographics (Age, Weight, Height, BMI).– Code (MATLAB): rms_block25.m computing block-RMS on ASCII EMG (25-sample windows at 1000 Hz); produces rms.xlsx (windowed RMS matrix, column means, maxima).– SPSS output: Output1.spv reproducing inferential statistics (RM-ANOVA for secondary outcomes; ANCOVA for VAS adjusted for baseline).– Raw EMG sample (2 participants): segmented sit-to-stand trials exported from DataLITE/DataLOG PC Software v10.13 (Biometrics Ltd.) to ASCII and packaged as ZIP, with README_EMG_raw describing how to open/export. Acquisition / Software– System: DataLITE Wireless System; DataLITE/DataLOG PC Software v10.13.– Sampling: 1000 Hz; task: 3× sit-to-stand (STS); normalization: %MVIC (see manuscript Methods).– Analysis: SPSS v26+; MATLAB R2021b. How to reproduce1) Open Dataset_DTM.sav (or .xlsx) in SPSS and run RM-ANOVA for secondary outcomes and ANCOVA for VAS (post ~ group + baseline VAS), as specified in the manuscript.2) To illustrate the EMG pipeline, export an ASCII matrix (“rms.txt”, N×M) from DataLITE for a trial and run rms_block25.m (25-sample RMS windows ≈25 ms at 1000 Hz). Trial segmentation (“cutting”) is performed in DataLITE before export. Licensing– Data: CC BY 4.0 (this record’s license).– Code: MIT License (included as LICENSE_code.txt; applies to files in /Code). Protocol and registration– Laboratory protocol: protocols.io DOI: dx.doi.org/10.17504/protocols.io.14egnr1qql5d/v1 (private reviewer link provided in the manuscript and will be removed upon publication).– Trial registration: IRCT20240917063072N1.– Ethics: IR.UMA.REC.1404.027.