Background: The revised Upper Extremity Work Demand (UEWD-R) Scale is a six-item self-report questionnaire to measure the workload of the upper limbs. UEWD-R consists of a force/posture scale and a repetition scale. Psychometric properties are unknown so far.
Purpose: Assess the construct validity and the test-retest reliability of UEWD-R.
Method: Participants from different levels of physical work demands (based on the Dictionary of Occupational Titles (DOT) categories) were included. Construct validity was determined by testing 11 predefined hypotheses regarding UEWD-R related to other constructs, including a workplace observation using the Rapid Upper Limb Assessment (RULA). Correlations between these measures were calculated using Spearman correlation coefficients. Test-retest reliability was determined using the intraclass correlation coefficient (ICC) for agreement. The smallest detectable change (SDC) was calculated.
Results: Fifty-four participants participated (63% men, mean age 39.4 years). The four DOT categories were equally represented. Nine out of 11 predefined correlations were confirmed (82%), indicating good construct validity. Strong expected correlations of UEWD-R-total versus RULA-C (r=0.69) and UEWD-R-repetition versus RULA-muscle (r=0.12) were not confirmed. The test-retest reliability was good (ICC agreement=0.79). The SDC was 4.85.
Conclusion: Construct validity and the test-retest reliability of UEWD-R were good. UEWD-R can be used to evaluate the workload of the upper extremities. However, further research is advised to assess the validity of the UEWD-R not only by testing associations with RULA,but also with other observational measures.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1136/oemed-2017-104370 | DOI Listing |
Int J Genomics
January 2025
Department of General Medicine, Chongqing University Central Hospital, Chongqing Emergency Medical Center, Chongqing Key Laboratory of Emergency Medicine, Chongqing, China.
() is associated with the development of various stomach diseases, one of the major risk factors for stomach adenocarcinoma (STAD). The infection score between tumor and normal groups was compared by single-sample gene set enrichment analysis (ssGSEA). The key modules related to infection were identified by weighted gene coexpression network analysis (WGCNA), and functional enrichment analysis was conducted on these module genes.
View Article and Find Full Text PDFFront Mol Biosci
January 2025
Faculty of Biology and Biotechnologies, National Research University Higher School of Economics, Moscow, Russia.
Introduction: Colorectal cancer (CRC) is characterized by an extremely high mortality rate, mainly caused by the high metastatic potential of this type of cancer. To date, chemotherapy remains the backbone of the treatment of metastatic colorectal cancer. Three main chemotherapeutic drugs used for the treatment of metastatic colorectal cancer are 5-fluorouracil, oxaliplatin and irinotecan which is metabolized to an active compound SN-38.
View Article and Find Full Text PDFObjectives: The major emphasis of physical therapy in patient evaluation is the assessment of physical function, and the Patient-Specific Functional Scale (PSFS) is one of the most commonly used instruments for this purpose. Therefore, the present study aims to translate and cross-culturally adapt the PSFS into Persian and test its psychometric properties in patients with chronic low back pain (CLBP).
Methods: The PSFS was translated from English to Persian and cross-culturally adapted in accordance with the study by Beaton et al.
Front Artif Intell
January 2025
Independent Researcher, Hamburg, Germany.
Introduction: Artificial Intelligence (AI) is a transformative technology impacting various sectors of society and the economy. Understanding the factors influencing AI adoption is critical for both research and practice. This study focuses on two key objectives: (1) validating an extended version of the Technology Acceptance Model (TAM) in the context of AI by integrating the Big Five personality traits and AI mindset, and (2) conducting an exploratory k-prototype analysis to classify AI adopters based on demographics, AI-related attitudes, and usage patterns.
View Article and Find Full Text PDFSaudi J Gastroenterol
January 2025
Department of General Surgery, Qinghai Provincial People's Hospital, Xining, Qinghai Province, China.
Background: Patients with multiple organ metastases from hepatic alveolar echinococcosis have a high mortality rate. However, predictors of multi-organ metastasis have not been identified. We aimed to develop a nomogram that predicts multi-organ metastasis in patients with hepatic alveolar echinococcosis.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!