Literature DB >> 12850935

Sitting comfort and discomfort and the relationships with objective measures.

Michiel P de Looze1, Lottie F M Kuijt-Evers, Jaap van Dieën.   

Abstract

The concepts of comfort and discomfort in sitting are under debate. There is no widely accepted definition, although it is beyond dispute that comfort and discomfort are feelings or emotions that are subjective in nature. Yet, beside several subjective methodologies, several objective methods (e.g. posture analysis, pressure measurements, electromyography (EMG) are in use to assess sitting comfort or discomfort. In the current paper a theoretical framework is presented, in which comfort and discomfort were defined and the hypothetical associations with underlying factors were indicated. Next, the literature was reviewed to determine the relationships between objective measures and subjective ratings of comfort and discomfort. Twenty-one studies were found in which simultaneous measures of an objective parameter and a subjective rating of comfort or discomfort were obtained. Pressure distribution appears to be the objective measure with the most clear association with the subjective ratings. For other variables, regarding spinal profile or muscle activity for instance, the reported associations are less clear and usually not statistically significant.

Mesh:

Year:  2003        PMID: 12850935     DOI: 10.1080/0014013031000121977

Source DB:  PubMed          Journal:  Ergonomics        ISSN: 0014-0139            Impact factor:   2.778


  22 in total

1.  Validation of an instrumented dummy to assess mechanical aspects of discomfort during load carriage.

Authors:  Patrick D Wettenschwiler; Simon Annaheim; Silvio Lorenzetti; Stephen J Ferguson; Rolf Stämpfli; Agnes Psikuta; René M Rossi
Journal:  PLoS One       Date:  2017-06-29       Impact factor: 3.240

2.  Seat Pressure Distribution Characteristics During 1 Hour Sitting in Office Workers With and Without Chronic Low Back Pain.

Authors:  Nipaporn Akkarakittichoke; Prawit Janwantanakul
Journal:  Saf Health Work       Date:  2017-02-17

3.  Using Smartbands, Pupillometry and Body Motion to Detect Discomfort in Automated Driving.

Authors:  Matthias Beggiato; Franziska Hartwich; Josef Krems
Journal:  Front Hum Neurosci       Date:  2018-09-24       Impact factor: 3.169

4.  Development of a statistical model for predicting seat pressure felt level in simulated condition based on direct and anthropometric measurement.

Authors:  Nor Kamaliana Khamis; Baba Md Deros
Journal:  J Phys Ther Sci       Date:  2018-06-12

5.  Pillow Support Model with Partitioned Matching Based on Body Pressure Distribution Matrix.

Authors:  Yu Li; Jianfeng Wu; Chunfu Lu; Zhichuan Tang; Chengmin Li
Journal:  Healthcare (Basel)       Date:  2021-05-12

6.  Operating Comfort Prediction Model of Human-Machine Interface Layout for Cabin Based on GEP.

Authors:  Li Deng; Guohua Wang; Bo Chen
Journal:  Comput Intell Neurosci       Date:  2015-09-10

7.  Mechanical Predictors of Discomfort during Load Carriage.

Authors:  Patrick D Wettenschwiler; Silvio Lorenzetti; Rolf Stämpfli; René M Rossi; Stephen J Ferguson; Simon Annaheim
Journal:  PLoS One       Date:  2015-11-03       Impact factor: 3.240

8.  Joint mobilization forces and therapist reliability in subjects with knee osteoarthritis.

Authors:  Bradley S Tragord; Norman W Gill; Jason L Silvernail; Deydre S Teyhen; Stephen C Allison
Journal:  J Man Manip Ther       Date:  2013-11

9.  The Short Term Musculoskeletal and Cognitive Effects of Prolonged Sitting During Office Computer Work.

Authors:  Richelle Baker; Pieter Coenen; Erin Howie; Ann Williamson; Leon Straker
Journal:  Int J Environ Res Public Health       Date:  2018-08-07       Impact factor: 3.390

10.  Research on the Comfort of Vehicle Passengers Considering the Vehicle Motion State and Passenger Physiological Characteristics: Improving the Passenger Comfort of Autonomous Vehicles.

Authors:  Chang Wang; Xia Zhao; Rui Fu; Zhen Li
Journal:  Int J Environ Res Public Health       Date:  2020-09-18       Impact factor: 3.390

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