Literature DB >> 18932082

A wide range of activity duration cutoffs provided unbiased estimates of exposure to computer use.

Che-Hsu Chang1, Peter W Johnson, Jack T Dennerlein.   

Abstract

Integrative computer usage monitors have become widely used in epidemiologic studies to investigate the exposure-response relationship of computer-related musculoskeletal disorders. These software programs typically estimate the exposure duration of computer use by summing precisely recorded durations of input device activities and durations of inactivity periods shorter than a predetermined activity duration cutoff value, usually 30 or 60 sec. The goal of this study was to systematically compare the validity of a wide range of cutoff values. Computer use activity of 20 office workers was observed for 4 consecutive hours using both a video camera and a usage monitor. Video recordings from the camera were analyzed using specific observational criteria to determine computer use duration. This observed duration then served as the reference and was compared with 238 estimates of computer use duration calculated from the usage monitor data using activity duration cutoffs ranging from 3 to 240 sec in 1-sec increments. Estimates calculated with cutoffs ranging from 28 to 60 sec were highly correlated with the observed duration (Spearman's correlation 0.87 to 0.92) and had nearly ideal linear relationships with the observed duration (slopes and r-squares close to one, and intercepts close to zero). For the same range of cutoff values, when the observed and estimated durations were compared for dichotomous exposure classification across participants, minimal exposure misclassification was observed. It is concluded that activity duration cutoffs ranging from 28 to 60 sec provided unbiased estimates of computer use duration.

Entities:  

Mesh:

Year:  2008        PMID: 18932082     DOI: 10.1080/15459620802491158

Source DB:  PubMed          Journal:  J Occup Environ Hyg        ISSN: 1545-9624            Impact factor:   2.155


  5 in total

1.  Does computer use affect the incidence of distal arm pain? A one-year prospective study using objective measures of computer use.

Authors:  Sigurd Mikkelsen; Christina Funch Lassen; Imogen Vilstrup; Ann Isabel Kryger; Lars Peter Andreas Brandt; Jane Frølund Thomsen; Mette Gerster; Søren Grimstrup; Johan Hviid Andersen
Journal:  Int Arch Occup Environ Health       Date:  2011-05-24       Impact factor: 3.015

2.  Developing a framework for predicting upper extremity muscle activities, postures, velocities, and accelerations during computer use: the effect of keyboard use, mouse use, and individual factors on physical exposures.

Authors:  Jennifer L Bruno Garza; Paul J Catalano; Jeffrey N Katz; Maaike A Huysmans; Jack T Dennerlein
Journal:  J Occup Environ Hyg       Date:  2012       Impact factor: 2.155

3.  Fatigue development in the finger flexor muscle differs between keyboard and mouse use.

Authors:  Jeong Ho Kim; Peter W Johnson
Journal:  Eur J Appl Physiol       Date:  2014-08-09       Impact factor: 3.078

4.  The effect of over-commitment and reward on trapezius muscle activity and shoulder, head, neck, and torso postures during computer use in the field.

Authors:  Jennifer L Bruno Garza; Belinda H W Eijckelhof; Maaike A Huysmans; Paul J Catalano; Jeffrey N Katz; Peter W Johnson; Jaap H van Dieen; Allard J van der Beek; Jack T Dennerlein
Journal:  Am J Ind Med       Date:  2013-07-01       Impact factor: 2.214

5.  Prediction of trapezius muscle activity and shoulder, head, neck, and torso postures during computer use: results of a field study.

Authors:  Jennifer L Bruno Garza; Belinda H W Eijckelhof; Maaike A Huysmans; Peter W Johnson; Jaap H van Dieen; Paul J Catalano; Jeffrey N Katz; Allard J van der Beek; Jack T Dennerlein
Journal:  BMC Musculoskelet Disord       Date:  2014-09-03       Impact factor: 2.362

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.