黃耀輝臺灣大學:職業醫學與工業衛生研究所陳彥廷Chen, Yen-TingYen-TingChen2010-05-112018-06-292010-05-112018-06-292009U0001-2707200921514700http://ntur.lib.ntu.edu.tw//handle/246246/182402Part I:o evaluate the risk factors for upper extremity musculoskeletal disorders, the direct measurement has the advantage of better validity while the observation method and self-report have the strength of convenience in operation. The aim of this study are to evaluate the correlation of exposure variables monitored by direct measurement and observation method, respectively, and to find out the most feasible and valid parameters by observation method to assess hand activity at workplace. total of 35 different tasks by 19 subjects of 10 companies were included in this study, which were primarily involved in upper extremity activity. All subjects filled in a modified Nordic Musculoskeletal Questionnaire to report their health outcome prior to the beginning of this study. Then, the study subjects were asked to work as usual for the designated task for 15 minutes or more than 5 cycles per task. Meanwhile, direct measurements, including surface electromyography and biaxial electrogoniometers for wrist, were applied to record the bioelectronic signals for hand activity. All the subjects’ hand activities were videotaped and, later, rated by a reviewer according to the Strain Index (SI) checklist and hand activity level (HAL) checklist issued by the American Conference of Governmental Industrial Hygienists. Both direct measurement and observation method provided exposure variables for exertion force and frequency.esults showed that the prevalence of discomforts in wrist was higher than other upper extremity parts among the study subjects. The parameters of exertion frequency by direct measurement and video observation were significantly correlated (r=0.62, p<0.01). The efforts per minute estimated by SI checklist was correlated with the mean power frequency of exertion (r=0.66, p<0.001) and the root mean square of wrist deviation speed by the biaxial electrogoniometers (r=0.51, p<0.01). However, such consistence was not found for exposure variable of exertion force. The finding of the present study suggested that the frequency of upper extremity motion estimated by observation method could be used as a feasible indicator for exposure loading assessment at workplace if direct measurement is not feasible for all study subjects.art II:o assess the physical loading of computer work, the electronic activity monitoring system provides an alternative tool for computer use time estimation in practice. The aims of this study were to study the reliability of an electronic activity monitoring system, VDTlog, in computer use time estimation, and its applicability as an exposure assessment tool in the field.wenty two participants were recruited in this study with most of their daily work composed of computer-based office work. Three methods including video record observation, self-report and VDTlog were used to gather the information related to computer use. During three consecutive working hours, two cameras were turned on to record, and VDTlog was used to estimate the keyboard, mouse, and computer use time. Subjects had to complete a self-report questionnaire about aforementioned computer use times for each hour during the observation period. The estimates of keyboard, mouse and total computer use time for study hours by self-report and VDTlog were compared to video record observation by Pearson’s correlation analysis.he average time of total computer use was 63% of the video record observation period. Estimation by VDTlog was highly correlated with video record observation for total computer use time (r=0.98). The relative errors decreased along with the percentage of total computer use time in the monitored working hours among the subjects. It implied that the electronic activity monitoring system, VDTlog, seemed to be well comparable to video record observation, and it is a valid and reliable tool for the collection of time related information on the highly intensive work activities of computer workers.Part I. Comparison between Direct Measurement and Observation Methods for Upperxtremity Activity Assessment at Workplace.bstract 1. Introduction 5. Literature review 7.1. Exposure assessment methods for physical factors associated with UEMSD 7.1.1. Self report 7.1.2. Observation 8.1.3. Direct measurement 9.2. Application of exposure assessment methods for UEMSD at workplace 11.3. Study aims 14. Materials and methods 15.1. Subject recruitment 15.2. Procedures and apparatus 16.2.1. Self-report questionnaire 17.2.2. Observation and checklist 18.2.3. Direct measurement 19.3. Data Analysis 20. Results 21.1. General descriptions of subjects’ work by video record observation and direct measurement methods 21.2. Correlation among variables of video observation, SI and HALTLV checklists 24.3. Spearman correlation between variables at task level by observation and direct measurement methods 26. Discussions 28.1. Comparison of frequency-related variables 28.2. Comparison of force-related variables 30.3. Implication and suggestion 33. Conclusions 34.Reference 35art II. Evaluation of the Electronic Activity Monitoring System for Computer Use in Field Study.bstract 40. Introduction 43. Literature review 45.1. Risk factors for computer work activities associated with work-related upper extremity disorders 45.2. Exposure assessment methods for computer work activities 47.3. Study aims 50. Materials and methods 51.1. Subjects recruitment 51.2. Procedures and apparatus 52.2.1. Video record observation 54.2.2. VDTlog 56.2.3. Self-report questionnaire 57.3. Inter-rater test 59.4. Data Analysis 61. Result 62.1. General descriptions of subjects’ work by observation, self report and direct measurement methods 62.2. Idle time setting for total computer use 65.3. Relationship between percentage of computer use time and relative error by different methods 67. Discussion 69.1. Comparison of computer use time estimates among three methods: video record observation, self-report and VDTlog 69.2. Criteria for idle time setting for the total computer use time estimation by VDTlog 71.3. Implication and recommendation in further study 74. Conclusion 75. Reference 76application/pdf2562767 bytesapplication/pdfen-US肌肉骨骼不適上肢作業暴露評估觀察法電腦作業電腦電子活動監測系統VDTlogmusculoskeletal disorderexposure assessmentobservation methodcomputer workelectronic activity monitorthesishttp://ntur.lib.ntu.edu.tw/bitstream/246246/182402/1/ntu-98-R96841002-1.pdf