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Genome-wide association summary statistics for back pain
<p>The dataset contains results of a genome-wide association study of back pain. Two files contain association summary statistics for discovery GWAS based on the analysis of 350,000 white British individuals from the UK Biobank and meta-analysis GWAS based on the meta-analysis of the same 350,000 individuals and additional 103,862 individuals of European Ancestry from the UK biobank (total N = 453,862). The phenotype of back pain was defined by the answer provided by the UK biobank participants to the following question: "Pain type(s) experienced in last month". Those who reported “Back pain”, were considered as cases, all the rest were considered as controls. Individuals who did not reply or replied: "Prefer not to answer" or "Pain all over the body" were excluded. This dataset is also available for graphical exploration in the genomic context at <a href="http://gwasarchive.org/">http://gwasarchive.org</a>. </p> <p>The data are provided on an "AS-IS" basis, without warranty of any type, expressed or implied, including but not limited to any warranty as to their performance, merchantability, or fitness for any particular purpose. If investigators use these data, any and all consequences are entirely their responsibility. By downloading and using these data, you agree that you will cite the appropriate publication in any communications or publications arising directly or indirectly from these data; for utilisation of data available prior to publication, you agree to respect the requested responsibilities of resource users under 2003 Fort Lauderdale principles; you agree that you will never attempt to identify any participant. This research has been conducted using the UK Biobank Resource and the use of the data is guided by the principles formulated by the UK Biobank.</p> <p><strong>When using downloaded data, please cite corresponding paper and this repository:</strong></p> <ol> <li>Insight into the genetic architecture of back pain and its risk factors from a study of 509,000 individuals. Freidin, Maxim; Tsepilov, Yakov; Palmer, Melody; Karssen, Lennart; Suri, Pradeep; Aulchenko, Yurii; Williams, Frances MK,# CHARGE Musculoskeletal Working Group. PAIN: February 06, 2019 - Volume Articles in Press - Issue - p<br> doi: 10.1097/j.pain.0000000000001514</li> <li>Maxim B Freidin, Yakov A Tsepilov, Melody Palmer, Lennart Karssen, CHARGE Musculoskeletal Working Group, Pradeep Suri, … Frances MK Williams. (2018). Genome-wide association summary statistics for back pain (Version 1) [Data set]. Zenodo. http://doi.org/10.5281/zenodo.1319332</li> </ol> <p><strong>Funding:</strong></p> <p>This study was supported by the European Community’s Seventh Framework Programme funded project PainOmics (Grant agreement # 602736). <br> The research has been conducted using the UK Biobank Resource (project # 18219).</p> <p>The development of software implementing SMR/HEIDI test and database for GWAS results was supported by the Russian Ministry of Science and Education under the 5-100 Excellence Program”.</p> <p>Dr. Suri’s time for this work was supported by VA Career Development Award # 1IK2RX001515 from the United States (U.S.) Department of Veterans Affairs Rehabilitation Research and Development Service. The contents of this work do not represent the views of the U.S. Department of Veterans Affairs or the United States Government.</p> <p>Dr. Tsepilov’s time for this work was supported in part by the Russian Ministry of Science and Education under the 5-100 Excellence Program.</p> <p><strong>Column headers - discovery (350K)</strong></p> <ol> <li>CHR: chromosome</li> <li>POS: position (GRCh37 build) </li> <li>ID: SNP rsID</li> <li>REF: reference allele (coded as "0")</li> <li>ALT: effect allele (coded as "1")</li> <li>CASE_ALLELE_CT: allele observation count in cases</li> <li>CTRL_ALLELE_CT: allele observation count in controls</li> <li>ALT_FREQ: effect allele frequency </li> <li>MACH_R2: imputation quality</li> <li>TEST: model of association test (additive)</li> <li>OBS_CT: sample size</li> <li>BETA: effect size of effect allele</li> <li>SE: standard error of effect size</li> <li>T_STAT: Z-value of effect allele</li> <li>P: P-value of association (without GC correction)</li> <li>MAF: minor allele frequency</li> </ol> <p><strong>Column headers - meta-analysis (450K)</strong></p> <ol> <li>MarkerName: SNP rsID</li> <li>Allele1: effect allele (coded as "1")</li> <li>Allele2: reference allele (coded as "0")</li> <li>Freq1: effect allele frequency</li> <li>FreqSE: standard error of effect allele frequency</li> <li>Effect: effect size of effect allele</li> <li>StdErr: standard error of effect size</li> <li>P-value: P-value of association (without GC correction)</li> <li>Direction: sign of effect in discovery and replication samples</li> <li>n_total: Total sample size</li> <li>CHR: chromosome</li> <li>POS: position (GRCh37 build) </li> <li>MACH_R2_discovery: imputation quality in discovery sample</li> </ol>
Data and analysis for Association of meeting 24-hour movement guidelines with low back pain among adults
<p>Introduction</p> <p>This data and code forms the analytical process of a study examining associations between meeting different combinations of 24-h movement guidelines (that integrates a recommendations on physical activity, sedentary behaviour, and sleep) with prevalence, frequency and intensity of low back pain in a sample of adults aged 18 years and over. </p> <p>Notes: </p> <p>* the raw data is provided alongside this upload, but the processing is not addressed here. <br> * the authors of this document are a subset of the authors of the related paper.<br> * this document and the related data files were uploaded at the time of submission for review. An update providing the doi of the related paper will be provided when it is available.</p>
Genome-wide association summary statistics for sex- and age-specific analysis of chronic back pain
<p>The dataset comprises summary-level statistics for age- and sex-specific genome-wide association study of chronic back pain (cBP) in individuals of European descent from UK Biobank (<a href="https://www.ukbiobank.ac.uk/">https://www.ukbiobank.ac.uk/</a>). The study was carried out under UK Biobank approved project #18219. </p> <p><strong>The dataset accompanies the paper (please cite if using the dataset):</strong></p> <p><a href="https://pubmed.ncbi.nlm.nih.gov/33021770/">Freidin, Maxim B.; Tsepilov, Yakov A.; Stanaway, Ian B.; Meng, Weihua; Hayward, Caroline; Smith, Blair H.; Khoury, Samar; Parisien, Marc; Bortsov, Andrey; Diatchenko, Luda; Børte, Sigrid; Winsvold, Bendik S.; Brumpton, Ben M.; Zwart, John-Anker; HUNT All-In Pain; Aulchenko, Yurii S.; Suri, Pradeep; Williams, Frances M.K. Sex- and age-specific genetic analysis of chronic back pain. Pain. 2020. doi:10.1097/j.pain.0000000000002100.</a></p> <p>The phenotype of cBP was defined as back pain for 3+ months. Linear mixed-effects additive model was fitted adjusting for age, genotyping array type, and 10 genetic PCs provided by UK Biobank. The following filters were applied: minor allele frequency >0.001, genotyping and individual call rates >0.98%, imputation quality score (INFO) >0.7. GWAS were carried out in males and females separately in the whole sample (<strong>allages</strong>) as well as in groups of younger than 65 years (<strong>under65</strong>) and 65+ years old (<strong>65plus</strong>) as detailed in the paper. Accordingly, 6 files are deposited here, corresponding to each group. </p> <p><strong>Column headers:</strong></p> <p>SNP, SNP rsID </p> <p>CHR, chromosome</p> <p>BP, genomic position (GRCh37 build)</p> <p>EA, effect allele (coded as "1")</p> <p>OTHER, other allele (coded as "0")</p> <p>A1FREQ, frequency of effect allele</p> <p>INFO, imputation quality</p> <p>BETA, effect size (for effect allele)</p> <p>SE, standard error of effect size</p> <p>PVAL, p-value for association</p>
Sex-specific trunk movement coordination in participants with low-back pain and asymptomatic controls
<p>This is the data set and the code used for our publication. </p>
Comparative Effectiveness of Early Physical Therapy Versus Usual Care for Low Back Pain
ClinicalTrials.gov study NCT01556581. IPD Sharing: YES. Countries: 1. Publications: 5.
Spinal Cord Stimulation for Predominant Low Back Pain
ClinicalTrials.gov study NCT01697358. IPD Sharing: NO. Countries: 9. Publications: 3.
Effect of Peripheral Magnetic Stimulation in Patients With Chronic Lower Back Pain
ClinicalTrials.gov study NCT07243548. IPD Sharing: UNDECIDED. Countries: 1. Publications: 3.
Improving Veteran Access to Integrated Management of Back Pain
ClinicalTrials.gov study NCT04411420. IPD Sharing: YES. Countries: 1. Publications: 4.
Serial correlation of temporal pain intensities with beta-endorphin and meta-enkephalin concentrations, following Transcutaneous Electrical Nerve Stimulation among patients with chronic low back pain: a randomized controlled trial
<p>This is a dataset for the research that evaluate the responses of plasma beta-endorphin (βE), met-enkephalin (ME) and pain intensity (PI) among patients with chronic low back pain exposed to transcutaneous electrical nerve stimulation (TENS) = Group 1 or sham-TENS = Group 2.</p> <p>The dataset codes: TENS group = 1, Sham-TENS = 2, Sex: male = 1, female = 2, Baseline = before trial, Zero_Hr = immediately after trial, One_Hr = an hour after trial, TwentyFour_Hrs = 24 hrs after trial, FortyEight_Hrs = 48 hrs after trial.</p> <p>Variables labels: group, sex, age, pain duration, systolic blood pressure (SBP), diastolic blood pressure (DBP), resting heart rate (RHR), body temperature (Temp), beta-endorphin (BE), meta-enkephalin (ME), pain intensity (PI) measured with numeric pain scale.</p> <p>To describe time series, codes were combined with variable labels E.g. TwentyFour_Hrs_BE = bete endorphin concentration after 24 hrs of intervention.</p>
Data from: Does the performance of five back-associated exercises relate to the presence of low back pain? A cross-sectional observational investigation in regional Australian council workers
Objectives: investigate the relationships between the ability/inability to perform five physical test-exercises and the presence or absence of low back pain (LBP). Setting: regional Australian council training facility. Participants: consecutive participants recruited during 39 back education classes (8-26 participants per class) for workers in general office/administration, parks/gardens maintenance, roads maintenance, library, child-care and management. Total sample (n=539) was reduced through non-consent and insufficient demographic data to n=422. Age 38.6+/-15.3 years, range 18-64 years, 67.1% male. Methods: cross-sectional, exploratory, observational investigation. LBP presence was ascertained from a three-response option questionnaire: 0=none/rarely (NO) 1=sometimes (Some), 2=mostly/always (Most). Statistical correlation was performed with the number of the five test-exercises the individual successfully performed: 1) extension-in-lying, 3-seconds; 2) 'toilet-squat'; feet flat, feet touched, 3-seconds; 3) full-squat then stand-up, 5-times; 4) supine sit-up, knees flexed, 10-times; and 5) leg-extension, supine bilateral, 10-times. Interventions: nil. Results: for the group 'NO-Some', 94.3% completed 4-5 test-exercises, for 'With', 95.7% completed 0-1 test-exercises. The relationship between LBP presence and number of exercises performed was highly significant (Χ2(10)=300.61, p<0.001). Further, multinomial logistic regression predicting LBP (0=NO, 1=Some, 2=Most) from the number of exercises completed, substantially improved the model fit (initial-2LL=348.246, final-2LL=73.620, Χ2(2)=274.626, p<0.001). As the number of exercises performed increased, the odds of reporting 'Some-LBP' or 'Most-LBP' dropped substantially (odds ratios of 0.34 and 0.17, respectively). Conclusion: the ability to complete/not-complete five test-exercises correlated statistically and significantly with a higher LBP presence/absence in a general working population. Training individuals to complete such exercises could facilitate reductions in LBP incidence however, causality cannot be inferred. Randomized trials are recommended to establish the potential efficacy of exercise-based approaches, considering these five selected exercises, for predicting and managing LBP.
Risk Factors of Non-specific Low Back Pain in a Rural Community of Bangladesh
<p><strong>Risk Factors of Non-specific Low Back Pain in a Rural Community of Bangladesh</strong></p>
Chiropractic Maintenance Care of Persistent or Recurrent Low Back Pain
ClinicalTrials.gov study NCT01539863. IPD Sharing: Not stated. Countries: 1. Publications: 5.
Mind-body Treatments for Chronic Back Pain
ClinicalTrials.gov study NCT03294148. IPD Sharing: Not stated. Countries: 1. Publications: 67.
Efficacy of DBM Fasciatherapy for Patients Suffering From Chronic Low Back Pain
ClinicalTrials.gov study NCT04812678. IPD Sharing: NO. Countries: 1. Publications: 6.
Meditation-CBT for Opioid-treated Chronic Low Back Pain
ClinicalTrials.gov study NCT01775995. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Access to a Sit-stand Computer Workstation and Back Pain
ClinicalTrials.gov study NCT02146482. IPD Sharing: Not stated. Countries: 1. Publications: 44.
Duloxetine Versus Placebo in Chronic Low Back Pain
ClinicalTrials.gov study NCT00424593. IPD Sharing: Not stated. Countries: 5. Publications: 3.
Comparison of Thoracic Mobility Exercise Versus Manual Release Technique in Minimizing Upper Back Pain
ClinicalTrials.gov study NCT06340542. IPD Sharing: NO. Countries: 1. Publications: 4.
A Study of Duloxetine (LY248686) in Participants With Chronic Low Back Pain
ClinicalTrials.gov study NCT01855919. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Manual Therapy and Strengthening for the Hip in Older Adults With Chronic Low Back Pain
ClinicalTrials.gov study NCT04009837. IPD Sharing: Not stated. Countries: 1. Publications: 2.
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