Literature DB >> 19967005

A study of occurrence of musculoskeletal discomfort in computer operators.

Dinesh Bhanderi1, Sk Choudhary, Lata Parmar, Vikas Doshi.   

Abstract

Entities:  

Year:  2008        PMID: 19967005      PMCID: PMC2782237          DOI: 10.4103/0970-0218.39252

Source DB:  PubMed          Journal:  Indian J Community Med        ISSN: 0970-0218


× No keyword cloud information.

Introduction

Technological advances, particularly, invention of computers, have revolutionized our way of working. Computer has become an integral part of our life. However, its use is not free from health hazards. Intensive computer work puts stress and strain on muscles, as well as joints, because of continuous and repetitive nature of movements. Individual factors, prolonged awkward postures, poor workstation design and psycho-social environment can lead to development of symptoms of musculoskeletal discomfort (MSD). If these symptoms are ignored and if no preventive measures are taken, cumulative trauma disorders such as myalgia, myofascial syndromes, nerve entrapment syndromes, tendonitis, epicondilitis and tenosynovitis can develop.(1) In this paper, which is a part of a broader cross-sectional study, 419 individuals using computers were studied, and a number of individual factors of presumed importance were investigated.

Materials and Methods

The study was conducted in two talukas of Anand district - namely, Anand and Petlad - from May 2004 to January 2006. The sample size of 44 was calculated considering a prevalence of computer-related health problems as 20%, and 10% non-response rate. Thus 440 was the final sample size. Establishments and institutes in Anand and Petlad talukas, where computers are extensively used, were enlisted. These included banks, computer training centers and colleges running degree courses in computer applications. After seeking the permission of the heads of these institutes, all the staff and faculty members, as well as final year students, were enlisted. Four hundred forty subjects were selected randomly. Thirty-one did not participate in the study, making the nonresponse rate of 7.0%. Rest of the subjects (n = 419) were asked to fill up a pre-tested questionnaire, after obtaining their verbal consent. Other relevant information was gathered through personal inspection of workstation. Musculoskeletal discomfort (MSD) was considered when one or more of the following symptoms were reported by the respondents: neck or shoulder stiffness; neck or shoulder pain; tingling/numbness in hands, thumbs or fingers during work or many hours after stopping work; hand and wrist pain; backache; headache; leg cramps; leg stiffness; numbness in ankles and feet; swelling in ankles and feet; reduction in strength of hand and difficulty in grasping objects.

Results and Discussion

Mean age of the subjects who participated in this study was 25 years, with a range of 18-55 years. Three-fourths of the subjects were young, with age of 15-25 years; and 279 (66.6%) were male. Majority (65.4%) of the respondents started using computers at a young age (16-20 years), and 236 (56.3%) individuals had been using computers for less than 5 years. About 41% of the respondents used to work on computers for about 21 to 40 hours in a week. The prevalence of self-reported symptoms related to MSD ranged from 0.7-34.8%. Overall prevalence of any MSD was 75.2% (315/ 419). Armstrong et al. reported MSD prevalence of 25-76% among video display unit (VDU) operators in his study.(2) Individual factors like age and gender play a significant role in causing MSD.(3) Similar findings were reported by Demure et al.(4) and Karlquist et al.(5) in their studies. However, age and gender were not linked with any of the MSD studied by Ortiz et al.(6) Our study did not find any association between age of the subject and occurrence of MSD [Table 1]. Slightly higher proportion of female subjects reported MSD. However, it was not found to be statistically significant.
Table 1

Distribution of occurrence of musculoskeletal discomfort with background variables

VariableMusculoskeletal discomfort

No No. (%)Yes No. (%)Total No. (%)
Age of the subject (years) χ2 = 3.158, df = 3, P > 0.05
 15-2584 (26.1)238 (73.9)322 (100.0)
 26-3515 (23.4)49 (76.6)64 (100.0)
 36-45 5(20.8)19 (79.2)24 (100.0)
 46-550 (0.0)9 (100.0)9 (100.0)
Gender χ2 = 0.176, df = 1, P > 0.05
 Female33 (23.6)107 (76.4)140 (100.0)
 Male71 (25.4)208 (74.6)279 (100.0)
Habit of doing exercise χ2 = 0.007, df = 1, P > 0.05
 No52 (25.0)156 (75.0)208 (100.0)
 Yes52 (24.6)159 (75.4)211 (100.0)
Distribution of occurrence of musculoskeletal discomfort with background variables Two hundred eleven (50.4%) subjects enrolled in our study were doing one or more physical exercises like walking, running, etc. Such physical activity was not found to be associated with MSD in our study [Table 1]. A study by Korhonen et al.(7) showed that computer users doing no or less physical exercise are at higher risk of MSD related to neck. Habit of taking breaks for rest has been found to be associated with occurrence of MSD.(347) However, some studies(8) contradict this by showing no relationship between rest breaks and occurrence of MSD. Our study also did not observe any association between habit of taking breaks and occurrence of MSD [Table 2].
Table 2

Distribution of occurrence of musculoskeletal discomfort with other variables

VariableMusculoskeletal discomfort

No No. (%)Yes No. (%)Total No. (%)
Habit of taking breaks χ2 = 0.540, df =1, P > 0.05
 No34 (27.2)91 (72.8)125 (100.0)
 Yes70 (23.8)224 (76.2)294 (100.0)
Duration of computer use (hrs/week) χ2 = 24.286, df =3, P < 0.001
 <2049 (40.5)72 (59.5)121 (100.0)
 21-4027 (15.7)145 (84.3)172 (100.0)
 41-6022 (21.4)81 (78.6)103 (100.0)
 >606 (26.1)17 (73.9)23 (100.0)
Refractive error χ2 = 6.094, df = 1, P < 0.05
 No77 (28.7)91 (71.3)268 (100.0)
 Yes27 (17.9)124 (82.1)151 (100.0)
Distribution of occurrence of musculoskeletal discomfort with other variables A dose response relationship has been reported between duration of computer use and prevalence of musculoskeletal problems in literature.(3459) Our study showed highly significant association between MSD and duration of computer use [Table 2]. However, Ortiz et al. did not observe such association in their study.(6) In our study, vision of 269 (64.2%) subjects was normal, while 141 (33.7%) suffered from myopia, 4 (1.0%) from presbyopia and 5 (1.2%) from both. A significantly higher proportion of respondents with refractive error reported occurrence of MSD [Table 2]. Studies have demonstrated that sustained work with VDUs leads to temporary myopization of vision.(10) Therefore, the subject may deviate from the neutral posture to get a clear vision of the screen. This deviation may cause MSDs. Thus, our study suggests that MSDs are a common problem among those who use computer intensively. It seems likely that long hours of working on computers and presence of refractive error may result in these problems. Future longitudinal studies should evaluate the relative importance of other individual factors like age, gender, habit of doing exercise and taking breaks. Results from such epidemiological studies can contribute to the development of appropriate hazard-prevention programs for workers who frequently use computers.
  8 in total

1.  Video display terminal workstation improvement program: I. Baseline associations between musculoskeletal discomfort and ergonomic features of workstations.

Authors:  B Demure; R S Luippold; C Bigelow; D Ali; K A Mundt; B Liese
Journal:  J Occup Environ Med       Date:  2000-08       Impact factor: 2.162

2.  Work related and individual predictors for incident neck pain among office employees working with video display units.

Authors:  T Korhonen; R Ketola; R Toivonen; R Luukkonen; M Häkkänen; E Viikari-Juntura
Journal:  Occup Environ Med       Date:  2003-07       Impact factor: 4.402

3.  Neck and shoulder pain related to computer use.

Authors:  Zhiyong Ming; Matti Närhi; Jouko Siivola
Journal:  Pathophysiology       Date:  2004-07

4.  Effects of work and rest on upper extremity signs and symptoms of workers performing repetitive tasks.

Authors:  C A Feely; M K Seaton; C L Arfken; D F Edwards; V L Young
Journal:  J Occup Rehabil       Date:  1995-09

5.  Musculoskeletal Symptoms among Computer-assisted Design (CAD) Operators and Evaluation of a Self-assessment Questionnaire.

Authors: 
Journal:  Int J Occup Environ Health       Date:  1996-07

Review 6.  A conceptual model for work-related neck and upper-limb musculoskeletal disorders.

Authors:  T J Armstrong; P Buckle; L J Fine; M Hagberg; B Jonsson; A Kilbom; I A Kuorinka; B A Silverstein; G Sjogaard; E R Viikari-Juntura
Journal:  Scand J Work Environ Health       Date:  1993-04       Impact factor: 5.024

7.  Work with video display terminals among office employees. I. Subjective symptoms and discomfort.

Authors:  B G Knave; R I Wibom; M Voss; L D Hedström; U O Bergqvist
Journal:  Scand J Work Environ Health       Date:  1985-12       Impact factor: 5.024

8.  Computer use increases the risk of musculoskeletal disorders among newspaper office workers.

Authors:  Luis Ortiz-Hernández; Silvia Tamez-González; Susana Martínez-Alcántara; Ignacio Méndez-Ramírez
Journal:  Arch Med Res       Date:  2003 Jul-Aug       Impact factor: 2.235

  8 in total
  4 in total

1.  Effect of Body Mass Index on work related musculoskeletal discomfort and occupational stress of computer workers in a developed ergonomic setup.

Authors:  Jasobanta Sethi; Jaspal Singh Sandhu; Vijay Imbanathan
Journal:  Sports Med Arthrosc Rehabil Ther Technol       Date:  2011-10-07

2.  Work-related health disorders among Saudi computer users.

Authors:  Ibrahim M Jomoah
Journal:  ScientificWorldJournal       Date:  2014-10-14

3.  Work-related Neck Pain Among Desk Job Workers of Tertiary Care Hospital in New Delhi, India: Burden and Determinants.

Authors:  Surendra Babu Darivemula; Kiran Goswami; Sanjeev Kumar Gupta; Harshal Salve; Upinder Singh; Anil Kumar Goswami
Journal:  Indian J Community Med       Date:  2016 Jan-Mar

4.  Associations between musculoskeletal pain and work-related factors among public service sector computer workers in Kaunas County, Lithuania.

Authors:  Gintare Kaliniene; Ruta Ustinaviciene; Lina Skemiene; Vidmantas Vaiciulis; Paulius Vasilavicius
Journal:  BMC Musculoskelet Disord       Date:  2016-10-07       Impact factor: 2.362

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.