ArticleBMC musculoskeletal disorders2016
Validity and reliability of arm abduction angle measured on smartphone: a cross-sectional study.
Article in BMC musculoskeletal disorders, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
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Who cites it
14 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The Reliability of the Microsoft Kinect and Ambulatory Sensor-Based Motion Tracking Devices to Measure Shoulder Range-of-Motion: A Systematic Review and Meta-Analysis.Sensors (Basel, Switzerland) · 2021Pooled it
- Concurrent validity and reliability of an artificial intelligence-assisted physiotherapy assessment system for maximal mouth opening, cervical, and shoulder range of motion in patients with oral cancer.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026Article
- Psychometric Properties of a Smartphone Application for Measuring Shoulder Active Range of Motion in Individuals with and without Shoulder Pain and Mobility Deficits.Journal of pain research · 2026Article
- The Validity and Reliability of a Smartphone Application for Measuring Wrist and Metacarpophalangeal Joint Motion.Cureus · 2024Article
- Algorithmic assessment of shoulder function using smartphone video capture and machine learning.Scientific reports · 2023Article
- The Intra- and Inter-Rater Reliability of a Variety of Testing Methods to Measure Shoulder Range of Motion, Hand-behind-Back and External Rotation Strength in Healthy Participants.International journal of environmental research and public health · 2022Article
- Comparison of Motion Analysis Systems in Tracking Upper Body Movement of Myoelectric Bypass Prosthesis Users.Sensors (Basel, Switzerland) · 2022Article
- Reliability of measurement using Image J for reach distance and movement angles in the functional reach test.Journal of physical therapy science · 2021Article
- Article
- [Commercial mobile applications in the therapeutic approach to stroke: Review in main application repositories and scientific evidence].Revista espanola de salud publica · 2019Review
- Effects of Adding Interferential Therapy Electro-Massage to Usual Care after Surgery in Subacromial Pain Syndrome: A Randomized Clinical Trial.Journal of clinical medicine · 2019Article
- Smartphone applications for the evaluation of pathologic shoulder range of motion and shoulder scores-a comparative study.JSES open access · 2018Article
- Rater reliability and construct validity of a mobile application for posture analysis.Journal of physical therapy science · 2018Article
- Reliability and concurrent validity of a new iPhoneJournal of anatomy · 2017Observational
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMeasuring range of movement is important in clinical shoulder assessment. Over the years, different techniques have been used to analyze upper limbs mobility. Smartphone image-based goniometer offers a noninvasive easy-to-use method of measuring arm abduction angle. However, the validity of this method has not been previously established. The purpose of this study was to investigate the validity and reliability of an Internet and image-based app (mROM) regarding arm abduction angle in both healthy subjects and patients suffering from shoulder damage.
methodsTwenty three subjects with shoulder pathology (14 female, 9 male) and 14 healthy subjects (8 female, 6 male) were examined (37 shoulders). mROM app was used to measure arm abduction angle. Two examiners measured 37 shoulders on 3 separate occasions over 2 days: 2 measurements on the first day and a third one the following day. Descriptive statistics were calculated for descriptive and anthropometric variables, as well as for the first measure of arm abduction angle by photographs and inertial sensors. Reliability was investigated by intraclass correlation coefficients and p values, and validity by Pearson correlation and P.
resultsIntra-rater and inter-rater reliability were high (intraclass correlation coefficients 0.998 and 0.984 respectively) for the total sample, although, for the healthy group, intrareliability was lower and interreliability was no reliable. Measurements from photographs and intertial sensors were highly correlated (Pearson r = 0.964) for the total sample. However, it was no significant for the healthy group.
conclusionSmartphone photographs are a reliable and valid method to measure arm abduction angle, supporting the use of photography obtained through app for measuring joint ROM. This method provides a convenient and precise tool in assessment of arm motion.
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