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The Scientific World Journal logoLink to The Scientific World Journal
. 2014 Oct 14;2014:723280. doi: 10.1155/2014/723280

Work-Related Health Disorders among Saudi Computer Users

Ibrahim M Jomoah 1,*
PMCID: PMC4213430  PMID: 25383379

Abstract

The present study was conducted to investigate the prevalence of musculoskeletal disorders and eye and vision complaints among the computer users of King Abdulaziz University (KAU), Saudi Arabian Airlines (SAUDIA), and Saudi Telecom Company (STC). Stratified random samples of the work stations and operators at each of the studied institutions were selected and the ergonomics of the work stations were assessed and the operators' health complaints were investigated. The average ergonomic score of the studied work station at STC, KAU, and SAUDIA was 81.5%, 73.3%, and 70.3, respectively. Most of the examined operators use computers daily for ≤ 7 hours, yet they had some average incidences of general complaints (e.g., headache, body fatigue, and lack of concentration) and relatively high level of incidences of eye and vision complaints and musculoskeletal complaints. The incidences of the complaints have been found to increase with the (a) decrease in work station ergonomic score, (b) progress of age and duration of employment, (c) smoking, (d) use of computers, (e) lack of work satisfaction, and (f) history of operators' previous ailments. It has been recommended to improve the ergonomics of the work stations, set up training programs, and conduct preplacement and periodical examinations for operators.

1. Introduction

The one thing that has had the greatest impact on our lives in modern time is the computer. Along with smaller size and affordable prices, there has been the advent of the Internet. This has ensured that people use this technology either at their work place or at home. Meanwhile, the applications of computer technology and the accompanying use of video display terminals (VDTs) are revolutionizing the workplaces worldwide, and their use will continue to grow in the future.

Although these developments may perform operators' tasks efficiently, they could face some factors such as work stress, repetitious tasks, boredom, interpersonal factors, unsafe postures, and poor design of workstation that will negatively affect their health, performance, and productivity. For example, the development of VDTs technology may have contributed to the increase of users' health problems such as cumulative trauma disorders (CTDs) of upper extremity and back pain [154] as well as vision problems [111, 13, 14, 19, 20, 26, 44, 45, 5153, 5584].

However, the application of ergonomics principles to office workstations will reduce such health risks. For example, one of the goals of the ergonomic processes is to design or modify people's work and other activities to be within their capabilities and limitations [3, 57, 12, 1517, 22, 23, 2830, 38, 4446, 8588]. One possible outcome of poor harmonization is disorder of the musculoskeletal system known as repetitive strain injuries (RSI), CTD, or activity and work-related musculoskeletal disorder (WMSD). Those working in office-type jobs involving keyboarding and other computer related activities suffer from these disorders [9, 13, 1518, 2224, 28, 33, 42, 50, 88].

Currently computer related injuries are developing into an epidemic among computer users. It is estimated that, worldwide, 25% of computer users are already suffering from computer related injuries [35]. The United States has to shell out more than 2 billion US dollars annually for having ignored these computer related problems. It is now proved that the duration of work and computer-related problems are positively correlated. It is not uncommon these days for people having to leave computer dependent careers or even be permanently disabled and unable to perform tasks such as driving or dressing themselves. Occupationally caused RSI rank first among the health problems potentially affecting the quality of life [89]. Meanwhile, poor workstation design and poor ergonomics have been associated with an increased risk of developing these disorders.

The tremendous use of computer by the staff members, technicians, and students at King Abdulaziz University (KAU), by our experience, has been accompanied by increase in the number of attendances to University Medical Directorate (Services) with general, eye and vision, and musculoskeletal complaints. When this observation was brought to the attention of KAU officials, they urged and encouraged concerned personnel to study the nature of this problem and propose remedial actions.

Meanwhile, one of the first institutions that had applied computer technology in Saudi Arabia was the Saudi Airlines tickets' reservation offices (SAUDIA). It is considered to be one of most eligible areas to conduct a study regarding VDT health related problems. Putting this in mind, KAU urged concerned personnel to include it in the present study. Also, the Saudi Telecom Company (STC) works in Jeddah comprises nearly 430 VDT workstations where 360 operators and mostly 70 supervisors work for whole shifts. There have been some claims that these operators and supervisors suffer some general musculoskeletal and eye and vision complaints. Consequently, these works have been decided to be included in this study.

The objectives of the present study were

  1. to evaluate the magnitude of the problem of inconveniences in the use of computers in KAU, SAUDIA, and STC, as well as the inconveniences in the computers' workstations,

  2. to investigate computers' operators health complaints,

  3. to investigate environmental and behavioral factors contributing to the occurrence of the complaints,

  4. to propose remedial actions that might contribute to reducing these complaints.

2. Methodology

2.1. Study Population

Inventories of the computer workstations and operators in the different colleges and units of KAU, in the different departments and units of SAUDIA tickets' reservation offices, and in the different departments and units of STC head office in Jeddah had, primarily, been conducted to assess the magnitude of computer use there. The findings of the inventories are summarized in Table 1.

Table 1.

Existing computer workstations and operators in the different units of KAU, SAUDIA, and STC and the sample selected for the study.

Institution Units Existing service Sample
Workstation Supervisor Operator Workstation Supervisor Operator
King
Abdulaziz
University
(KAU)
(i) Higher administration, including
Deanship of Admission and
Registration and Deanship of
Student Affairs
301 14
(ii) Deanship of Information
Technology
114 16
(iii) Deanship of Library Affairs 73
(iv) Faculty of Economics and
Administration
96 9
(v) Faculty of Sciences 86 9
(vi) Faculty of Engineering 130 16
(vii) Faculty of Medicine and University Hospital 34 17
(viii) Faculty of Arts and Humanities 81 14
(ix) Faculty of Earth Sciences 63 5
(x) Faculty of Environmental Designs 41
(xi) Faculty of Marine Sciences 8
(xii) Faculty of Meteorology,
Environment and Arid Land Agriculture
16
Total 1043 100

Saudi Airlines
Ticket
Reservation
(SAUDIA)
(i) Central Control for Africa and Europe Flights 20 15
(ii) Central Control for Local and Gulf Flights 20 15
(iii) Central Control for Asia and Middle East Flights 10 5
(iv) Record and Follow-up Department 20 10
(v) Customer Services Department 165 55
Total 235 100

Saudi Telecom
Company
(STC)
(i) English Call Services Department 15 90 4 16
(ii) Help Services Department 24 120 8 27
(iii) Other Services Department 30 150 10 35
Total 69 360 22 78

Representative random samples of 100 workstations, and operators (all males, since no females are employed there), were selected from each of the three institutions, considering that the selection of the sampled stations and operators had been affected by the readiness of the individual administrations and operators in the different departments and units to participate in the study. The selected stations are also presented in Table 1.

2.2. Studying Ergonomics of Workstations

A study form entitled “Ergonomics Rating of Computer Applications” was developed to assess the ergonomics status of the studied computer workstations. The form was designed after reviewing the ANS/HFES Committee document [6], and many computer's workstation evaluation checklists that had been tested and used by international institutions include

  1. U.S. Department of Health and Human Services, Centers of Disease Control, and Prevention (CDC), Evaluation Checklist;

  2. National Institute for Occupation Safety and Health (NIOSH) Ergonomics Work-Place Evaluations of Musculoskeletal Disorders Checklist;

  3. U.S. Department of Labor, Occupational Safety, and Health Agency (OSHA) Computer Workstation Ergonomic Checklist;

  4. University of California Computer Workstation Self-Evaluation Checklist;

  5. California State University Ergonomics Evaluation Checklist;

  6. Cornell University Ergonomics Checklist;

  7. University of Virginia Library Ergonomics Evaluation Form;

  8. Institute for Occupational Physiology at the University of Dortmund Checklist for Computer Workstation;

  9. Atlantic Mutual Centennial Insurance Company Workstation Checklist.

The ergonomics score for the evaluation of the workstation is 43, distributed by the different components. Each component has certain number of scores, determining the maximum score of the component as shown in Table 2. Besides, 3 scores are allowed for the work organization and 4 scores for the training and provision of information, making a total score for the work at the specific workstation of 50, which is equivalent to 100% when scoring percentagewise.

Table 2.

Distribution of the ergonomics scores of the different components of the studied workstations.

Workstation component Maximum score
(1) Desk 5
(2) Seat 6
(3) Footrest 1
(4) Display screen 8
(5) Keyboard 3
(6) Mouse 3
(7) Document holder 2
(8) Space and room layout 7
(9) Task and posture 2
(10) Illumination 4
(11) Noise and thermal environment 2

Total scores 43

Each score item is clearly presented to be answered by “Yes” or “No” to avoid any personal differences or any bias by the evaluators. The “Yes” answers are counted to represent the score out of 50, and some ten stations were evaluated to test the study from and found to be satisfactory for the conduct of the study. Furthermore, the evaluation of the workstations was carried out, only, by the authors for quality assurance of the data collection. The study form has been designed in four major sections including the following.

Section (1). It includes basic information of investigated organizations (colleges/units), particularly as related to presented services.

Section (2). It includes ergonomics rating of investigated workstations by checking the details of each component of the work place, including

  1. desk, as related to space of desk top, layout of the desk, top equipment, desk top and distance from operator's eye, and existence of comfortable resting facility for operators' hands and rest;

  2. seat, as related to dimensions, casters, operators' leg clearance, armrests, back rest, seat cushion, and seat comfort ability and stability;

  3. footrest, as related to need, availability, and status of footrest;

  4. display screen, as related to location, height and tilting of the monitor, distance from operator's eye, freedom of screen from glare and reflection, stability of image and freedom from flickering, ease to read characters, and possibility of adjusting screen brightness and contrast;

  5. keyboard, as related to dimensions, location with reference to operator's hands and elbows, and exchanging operation between keyboard and mouse without operator's hand extension or twisting wrist;

  6. mouse, as related to its location with reference to operator smooth running and operator's awareness of its details of operation and maintenance;

  7. document holder, as related to need, availability, and status of the document holder;

  8. space and room layout, as related to adequate access to work place, availability of space to maneuver the seat, work correct posture, availability of adequate space for equipment needed for work, location of monitor with reference to windows, freedom of work area from obstructions, and hazards of tripping and neatness of the work area;

  9. task and posture, as related to freedom of operator's hands from phone while typing and resting his hand wrists;

  10. illumination, as related to level of lighting, status of luminaries and illumination fixtures, use of blinds on windows, and background of the screen with surrounding environment;

  11. noise and thermal environment, as related to level of quietness and status of air conditioning in work area.

Section (3). It includes work organization rating, by investigating work organization, work hours, rest pauses and noncomputer work assignment, and work load.

Section (4). It includes training and provision of information, by investigating operator's on-the-job and formal training, certainty of his use of software, keying habits, operator's capability of control of his workstation and work environment, and operator's adoption of good posture and avoiding visual fatigue at work.

2.3. Investigating Operators' Health Symptoms

A study form entitled “Impact of Computer Use on Operators” was developed to evaluate the effect of computer use on operator's health as reviewed and/or recommended by the NIOSH [1], WHO [5], and ANSI/HFES [6]. It is divided into four main sections as follows.

Section (1). It includes basic data, including name, gender, address, workstation, age, education, and smoking habit.

Section (2). It includes work data, including work type, duration of employment, formal training, work speed, daily hours of computer use, nature of computer use (continuous or intermittent), and work satisfaction.

Section (3). It includes health disorders before present work, including previous ailments or complaints of the musculoskeletal system and complaints of the eye and vision.

Section (4). It includes current symptoms, including the general complaints and their frequency, the eye and vision symptoms and their frequency, the maximum work hours before their occurrence and the time required for their release, and the musculoskeletal disorders and their location, description, frequency, and persistence, as well as the approached medical treatment and the sickness absenteeism as related to the work-related ailments.

2.4. Data Analysis

The collected data were visually inspected for fliers, then introduced into PC, and subjected to statistical analysis using Microsoft Excel 2007.

3. Results and Discussion

3.1. Ergonomics of the Workstations

The ergonomics scores of the studied workstations in the three institutions are illustrated in Table 3 and Figures 1 and 2. The average workstations score in STC has been rated very good (81.5 ± 14.34) which is considerably higher than the scores of both KAU and SAUDIA (73.3 + 15.13 and 70.3 ± 13.54, resp.) (Figure 2). This might be attributed to the relatively recent establishment of the workstations in STC in comparison to the other two study locations (KAU and SAUDIA). However, the score of the different components varies considerably in the three locations. For example, task and posture has been rated 95% and 90% at STC and SAUDIA, respectively, while it has been the lowest scored component at KAU (54%). Also, work organization has been rated the second highest (98.3%) at SAUDIA while it has been rated the second lowest at KAU (57.7%) and in the middle of the scores at SAUDIA (73.2%). These variations might be attributed to the differences of the type of work and pattern of computer use at the different study locations. The distribution of the ergonomics scores of the examined workstations might be considered to follow normal model but truncated (Figure 2).

Table 3.

Positive ergonomics components of the examined workstations.

Number Ergonomics components KAU∗ (N = 100) SAUDIA∗∗ (N = 100) STC∗∗∗ (N = 100)
Number of positives Average Number of positives Average Number of positives Average
I Noise and thermal environment
 1  Quietness 75 84.0 78 81.5 83 86.5
 2  Air-conditioning 93 85 90

II Display screen
 3  Monitor location 71 80.4 70 75.4 97 87.4
 4  Monitor top 80 100 99
 5  Monitor distance from eye 71 100 98
 6  Monitor tilting 75 72 97
 7  Glare and reflection 68 60 70
 8  Image stability 91 67 80
 9  Ease of reading 95 68 74
 10  Brightness and contrast 92 66 84

III Desk
 11  Space 81 78.4 100 81.4 100 99.4
 12  Layout 85 85 99
 13  Distance from eye 74 86 100
 14  Room for leg 93 65 100
 15  Hand/wrist 59 71 98

IV Mouse
 16  Distance from hand 83 77.7 75 71.3 72 71.3
 17  Run 76 78 76
 18  Operator's familiarity 74 61 66

V Seat
 19  Height 89 75.3 100 74.7 99 77.7
 20  Dimensions 78 72 95
 21  Armrest 76 75 77
 22  Backrest 64 79 59
 23  Pad (foam) 71 60 63
 24  Comfort and stability 73 62 73

VI Space and room layout
 25  Adequate access 90 73.7 65 68.9 24 78.7
 26  Space around seat 86 100 100
 27  Layout 80 61 93
 28  Location of equipment 62 61 88
 29  Monitors' positions 51 66 100
 30  Obstructions and hazards 75 60 100
 31  Housekeeping 72 69 46

VII Illumination
 32  Lighting level 91 72.3 55 48.8 60 86.8
 33  Luminaries 66 46 99
 34  Effectiveness 61 43 97
 35  Background behind screens 71 51 91

VIII Training and provision of information
 36  Use of software 75 71.5 46 47.3 76 60.3
 37  Habit keying 73 59 66
 38  Adjustment 74 43 65
 39  Good posture and visual fatigue 64 41 34

IX Keyboard
 40  Distance 69 69.7 66 66.0 98 95.0
 41  Width 73 69 75
 42  Height and key angle 67 63 92

X Footrest
 43  Compression of thigh 68 68.0 65 65.0 54 54.0

XI Document holder
 44  Need 64 63.0 90 90.0 39 38.0
 45  Balance of head posture 62 90 37

XII Work organization rating
 46  Breaks 79 59.7 100 73.3 88 89.3
 47  Urgent peaks and interruptions 40 55 83
 48  Over time 60 65 97

XIII Task and posture
 49  Phoning while typing 33 54.0 90 95.0 99 90.0
 50  Typing posture 75 100 81
Total average score 72.3 71.1 81.0

∗KAU = King Abdulaziz University.

∗∗SAUDIA = Saudi Airlines.

∗∗∗STC = Saudi Telecom Company.

Figure 1.

Figure 1

Average ergonomics scores of the examined workstation components.

Figure 2.

Figure 2

Distribution of the ergonomics scores of the examined workstation component.

3.2. Characteristics of the Work Population

The demographic and occupational characteristics of the studied populations of the computer users/operators in the three institutions are presented in Tables 4 and 5. The populations at the different study locations were mostly young, since 98% of the subjects in both KAU and STC, and 89% at SAUDIA, were younger than 50 years. However, the subjects of the study population at SAUDIA were relatively older since 27% of them were younger than 35 years in comparison to 80% at STC and 68% at KAU (Table 4). The average ages at the KAU, SAUDIA, and STC were 31.5, 39.7, and 30.3 years, respectively. Yet 78% and 73% of the populations at STC and KAU have been employed for less than 10 years, in comparison to 23% at SAUDIA that began using VDT earlier than the other two institutions (Table 5). The average durations of employment at KAU, SAUDIA, and STC were 7.1, 19,7, and 7.4 years, respectively. Meanwhile, the levels of education among KAU and STC populations were higher than the SAUDIA population. For example, 65% and 41% of KAU and STC populations received higher education in comparison to only 23% at SAUDIA population. Also, 16% of the KAU and 5% of the STC populations, respectively, received graduate education (Doctor and/or Master), while none of the subject at SAUDIA population had such education level.

Table 4.

Demographic characteristics of the study population.

Demographic characteristics Frequency
KAU (N = 100) SAUDIA (N = 100) STC (N = 100)
Age (years)
 20–24 24 9 19
 25–29 30 8 47
 30–34 14 10 14
 35–39 15 18 7
 40–44 10 20 8
 45–49 5 24 3
 50–54 2 9 2
 >55 0 2 0
Education
 Middle 6 2 2
 Secondary (general) 21 71 55
 Secondary (technical) 8 4 2
 High (technical) 19 2 13
 High (administrative) 30 21 23
 Graduate (master + doctor) 16 0 5
Smoking index
Nonsmokers 79 76 62
 <100 6 5 17
 100–199 3 2 9
 200–399 2 4 5
 400–500 5 3 3
 >600 5 10 4
Vision symptoms prior to present work∗
None 58 70 58
 Short-sighted 30 23 25
 Long-sighted 7 2 10
 Others 7 5 7
Musculoskeletal symptoms prior to present Work∗
None 59 62 55
 Neck pain 22 24 17
 Shoulder and/or arms pain 11 11 4
 Lower trunk pain 13 23 16
 Thigh and leg pain 5 8 4
 Others 1 1 4

∗The same subject might have more than one symptom occurring at different frequencies.

Table 5.

Occupational characteristics of the study population.

Occupational characteristics Frequency
KAU (N = 100) SAUDIA (N = 100) STC (N = 100)
Duration of employment (years)
 <1 12 7 7
 1-2 23 5 24
 3-4 20 4 17
 5–9 18 7 30
 10–14 11 7 5
 15–19 7 14 9
 20–24 5 20 5
 25–29 3 16 3
 30–34 1 16 0
 ≥35 0 4 0
Type of work
 Data entry 22 54 33
 Data acquisition 18 23 9
 Typist 23 0 0
 Communication task 8 20 53
 Comprehensive office tasks 29 3 5
Duration of formal training (days)
On-the-job training only
58 61 28
 <50 12 19 24
 50–99 5 8 14
 100–199 11 2 20
 200–299 4 2 4
 300–399 4 4 1
 400–499 3 0 1
 ≥500 3 4 8
Work speed
 Fast 39 30 45
 Average 56 70 49
 Slow 5 0 6
Computer use (hrs/day)
 3 15 0 2
 4 12 0 3
 5 9 0 3
 6 20 100 53
 7 14 0 1
 8 22 0 17
 9 8 0 21
Nature of daily work on computer
 Continuous 61 53 85
 Intermittent 39 47 15
Rest pauses of work shift (%)
 5–9 10 0 12
 10–14 22 0 19
 15–19 18 0 16
 20–24 19 0 21
 25–29 9 100 10
 30–34 9 0 11
 35–39 7 0 6
 ≥40 6 0 5
Elements of work satisfaction
 Satisfaction by foreman and colleagues interrelations 100 99 99
 Satisfaction by absence work stress 68 60 61
 Satisfaction of work control 96 94 96
 Satisfaction of job attitude 92 81 82
 Satisfaction by vigilance requirement 94 100 94
 Satisfaction by nature of work 73 85 55
 Satisfaction by absence of repetitive work and monotony 59 34 35
Evaluation of work satisfaction∗
 Very satisfied 39 35 29
 Satisfied 43 37 31
 Satisfied to some extent 10 14 27
 Not satisfied 8 14 13

∗Percent of duration(s) of rest pauses to duration of work shift.

Most of the study populations were nonsmokers (79%, 76%, and 62% of subjects at KAU, SAUDIA, and STC, resp.) and 26% of them at STC were light smoker (smoking index less than 200) that might be added to the proportion of the nonsmoker there to be 88%. This distribution might, however, be biased by the relatively young age of the examined subjects.

Considerable proportion of the populations either had no vision problems before employment (58%, 70%, and 58% at KAU, SAUDIA, and STC, resp.), or were short-sighted (30%, 23%, and 25%, resp.), while the rest were long-sighted or had other vision problems (14%, 7%, and 17%, resp.). Similarly, more than one half of the populations at the three study locations had no musculoskeletal symptoms before employment (59% at KAU, 62% at SAUDIA, and 55% at STC), while considerable proportions of the populations had neck pain (22% at KAU, 24% at SAUDIA, and 17% at STC). The rest of the populations had such symptom at one or more body locations.

More than one half of the population of KAU (52%) was either typist (23%) or involved in comprehensive office tasks (29%), while 40% of them were involved in data entry (22%) and data acquisition (22%). However, at SAUDIA, 77% of the populations were involved in data entry (54%) or data acquisition (23%) while 20% of them were involved in communication tasks and none of them was typist. Similarly, at STC, 86% of the populations were involved in communication tasks (53%) or data entry (33%), and none of them was typist. While 58% and 61% of the populations at KAU and SAUDIA, respectively, received on-the-job training only, and the rest received formal training for different periods, the opposite existed at STC, where 72% of the population received formal training for different periods, and only 28% of the population received on-the-job training only. Consequently, 61% of the populations at KAU and 70% at SAUDIA considered their work speed as average (56% and 70%, resp.) or slow (5% and 0%, resp.), while 45% of the population at STC considered their work speed as fast and 55% of them considered their work speed as either average (49%) or slow (6%).

Considerable proportions of the populations at KAU and STC used computer for 7, 8, or 9 hours per day (44% and 39%), while the whole population at SAUDIA (100%), and 53% of them at STC, used computer for 6 hours. On the other hand, 36% of the operators at KAU used computer for 3, 4, or 5 hrs. per day, while none of them at SAUDIA, and 9% of them at STC, operated computers for these shorter periods. However, only 53% of the SAUDIA population operated computer continuously in comparison to 85% of the STC and 61% of KAU populations. Meanwhile, mostly 70% of KAU (69%) and STC (68%) populations had rest pauses <25% of the work shift, and 22% of the two populations got rest pauses 30%–40% of the shift, while the whole SAUDIA population had 25%–29% of their shift as rest pauses, in comparison to 9% and 10% of the other two populations.

Eighty-two percent of the computer users in KAU, 72% of the operators at SAUDIA, and 60% of operators at STC were satisfied (and many were even very satisfied) at their work, particularly as related to their excellent satisfaction by their colleagues, work control, job attitude, and vigilance requirement, while the boredom from repetitive work and monotony and the work stress were the main causes of dissatisfaction among them, particularly the SAUDIA and STC populations (41%, 66%, and 65% at KAU, SAUDIA, and STC, resp.).

3.3. Operators' Health Complaints

The operators' health complaints are presented in Tables 69. Mostly one third of the operators (35%, 33%, and 27% of KAU, SAUDIA, and STC populations, resp.) was suffering from body fatigue, while 23%, 21%, and 37% of them were suffering from headache, such complaints occurred mostly sometimes among all the populations, however occurred to less extent, particularly among SAUDIA and STC operators. The lack of concentration occurred to less extent (for example, 8%, 6%, and 20% among KAU, SAUDIA, and STC populations, resp.), particularly and daily among SAUDIA and STC populations (Table 6).

Table 6.

Incidence of work-related general symptoms among the examined computer users/operators.

Symptoms Frequency
KAU (N = 100) SAUDIA (N = 100) STC (N = 100)
None Some-times Often Daily Total affected∗ None Some-times Often Daily Total affected∗ None Some-times Often Daily Total affected∗
Headache 77 17 6 0 23 79 11 6 4 21 63 25 11 1 37
General body fatigue 65 31 4 0 35 67 17 12 4 33 73 17 9 1 27
Lack of concentration 92 7 1 0 8 94 1 3 2 6 80 10 8 2 20
Total 46 45 9 0 54 60 22 12 6 40 97 1 1 1 3

∗The same subject may have more than one symptom occurring at different frequencies.

Table 9.

Locations and persistency of the work-related musculoskeletal symptoms among the examined computer users/operators.

Symptoms Frequency
KAU (N = 100) SAUDIA (N = 100) STC (N = 100)
None One  hr One day One week One month to 1 year Total∗ None One  hr One day One week One month to 1 year Total∗ None One  Hr One day One week One month to 1 year Total∗
Neck 78 6 10 3 3 22 77 7 10 4 2 23 81 10 5 2 2 19
Shoulder 27 7 13 5 0 28 75 10 10 1 4 25 83 8 6 3 0 17
Arm and elbow 89 5 5 0 1 11 92 1 5 0 2 8 97 1 1 1 0 3
Forearm 91 1 6 1 1 9 90 4 3 0 3 10 98 3 1 0 0 2
Fingers 88 4 7 0 1 12 91 2 5 0 2 9 91 3 4 2 0 9
Higher back 75 7 16 1 1 25 82 5 10 2 1 18 84 3 8 5 0 16
Lower back 67 8 19 2 4 33 82 9 6 1 2 18 70 10 14 5 1 30
Buttock 97 0 2 0 1 3 87 5 7 1 0 13 97 2 1 0 0 3
Thigh 96 1 2 1 0 4 87 4 7 0 2 13 93 3 3 0 1 7
Knee 93 3 3 0 1 7 92 4 3 1 0 8 89 4 5 2 0 11
Leg 93 2 3 1 1 7 94 3 1 1 1 6 95 1 2 2 0 5
Foot 94 3 1 1 1 6 91 4 4 0 1 9 94 1 2 2 1 6
All symptoms 30 27 30 9 4 70 49 25 18 4 4 51 39 23 24 10 4 61

∗The symptoms may occur in more than one location at the same frequencies.

Only 41% and 46% of KAU and STC populations, in comparison to 61% of SAUDIA population, reported eye and vision symptoms. The most predominant eye symptoms were eye redness, tearing, pain, and redness, and the most predominant vision symptoms were blurring, particularly for distance objects, as well as sensitivity to light (Table 7).

Table 7.

Incidence of work-related eye and vision symptoms among the examined computer users/operators.

Symptoms Frequency
KAU (N = 100) SAUDIA (N = 100) STC (N = 100)
None Some-times Often Daily Total affected∗ None Some-times Often Daily Total affected∗ None Some-times Often Daily Total affected∗
Eye
 Eye discomfort 85 12 3 0 15 88 8 4 0 12 91 7 1 1 9
 Aches 91 6 3 0 9 96 3 1 0 4 97 1 2 0 3
 Pain 95 4 1 0 5 95 2 3 0 5 92 5 3 0 8
 Redness 91 6 2 1 9 90 8 1 1 10 93 5 2 0 7
 Irritation and itching 93 4 3 0 7 94 3 3 0 6 96 2 2 0 4
 Burning 88 9 3 0 12 93 5 2 0 7 95 3 2 0 5
 Tearing 82 14 4 0 18 92 3 4 1 8 91 7 1 1 9
 Dryness 96 3 1 0 4 92 5 2 1 8 96 3 1 0 4
Vision
 Blurred: close objects 92 6 2 0 8 93 3 3 1 7 95 3 2 0 5
 Blurred: distant objects 88 9 3 0 12 86 8 5 1 14 91 6 3 0 9
 Sensitivity to light 86 10 3 1 14 92 3 4 1 8 84 14 2 0 16
 Double flickering 96 4 0 0 4 93 2 4 1 7 97 2 1 0 3
 Double vision 99 1 0 0 1 94 3 2 1 6 93 4 3 0 7
 Change in color perception 98 2 0 0 2 99 1 0 0 1 97 2 1 0 3
 Others 98 1 1 0 2 99 0 1 0 1 0 0 0 0 0
All eye and vision symptoms 41 48 9 2 59 61 22 12 5 39 46 14 15 25 54

∗The same subject may have more than one symptom occurring at different frequencies.

Thirty percent, 49%, and 39% of the KAU, SAUDIA, and STC populations were free from musculoskeletal symptoms. The main occurring symptoms were aching, tingling, numbness, pain, and stiffness, which occurred, mostly sometimes, and, to a less extent, often (Table 8). The highest incidences of the symptoms were at the operators' higher and lower back, neck and shoulder, arm, elbow, forearm, and fingers and then at the lower limbs (buttock to foot) (Table 9).

Table 8.

Incidence of work-related musculoskeletal symptoms among the examined computer users/operators.

Symptoms Frequency
KAU (N = 100) SAUDIA (N = 100) STC (N = 100)
None Some-times Often Daily Total affected∗ None Some-times Often Daily Total affected∗ None Some-times Often Daily Total affected∗
Aching 73 18 8 1 27 84 9 6 1 16 69 20 10 1 31
Tingling 84 11 5 0 16 93 5 2 0 7 89 9 3 0 12
Numbness 93 5 1 1 7 92 2 5 1 8 88 4 7 0 11
Burning 95 3 2 0 5 98 0 1 1 2 96 1 3 0 4
Paleness 99 0 0 1 1 100 0 0 0 0 99 1 0 0 1
Swelling 98 1 0 1 2 97 1 1 1 3 97 0 3 0 3
Pain 92 2 3 3 8 84 8 6 2 16 84 6 8 2 16
Stiffness 93 4 2 1 7 91 3 4 2 9 89 4 7 0 11
Cramping 98 1 1 0 2 96 1 2 1 4 98 1 1 0 2
Total 30 47 17 6 70 49 27 21 3 51 39 47 10 4 61

∗The same subject may have more than one symptom occurring at different frequencies.

3.4. Factors Affecting Incidence of Complaints

The effects of age and duration of employment (i.e., work) on the incidence of operators' health complaints are shown in Tables 10 and 11. There has been general trend of increasing the different complaints by age, particularly among those exceeding 35 years of age (Table 10). This observation is further confirmed in Table 11, where the operators working for >10 years had, generally, the highest incidences of the general and the eye and vision complaints, as well as the incidences of other complaints, but to a less extent.

Table 10.

Incidence of complaints as related to age of computer users/operators.

Age (year) Number of
operators
Ergonomic score
mean (SD)
Duration of employment (year)
mean (SD)
Computer use
(hours/day)
mean (SD)
Complaints N (%)
None General Eye and vision Neck and shoulder Upper extremity Lower extremity Trunk
King Abdulaziz University computer users
20–29 54 37.4 2.6 6.4 7 24 31 26 16 8 25
(5.0) (1.1) (1.5) (13.0) (44.4) (57.4) (48.1) (29.6) (14.8) (46.3)
30–39 29 36.7 8.8 5.8 5 17 15 16 12 4 16
(6.3) (3.5) (2.0) (17.2) (58.6) (51.7) (55.2) (41.4) (13.8) (55.2)
40+ 17 34.9 17.6 6.0 3 10 11 9 4 3 7
(6.5) (7.2) (2.5) (17.6) (58.8) (64.7) (52.9) (23.5) (17.6) (41.2)

Saudi Airlines Ticket reservation operators
20–29 17 69.1 2.0 6.0 4 7 8 7 4 3 8
(7.7) (1.3) (0.0) (23.5) (41.2) (47.1) (41.2) (23.5) (17.6) (47.1)
30–39 28 71.6 14.9 6.0 11 13 10 10 7 6 7
(11.0) (3.1) (0.0) (39.3) (46.4) (35.7) (35.7) (25.0) (21.4) (25.0)
40+ 55 72.8 26.4 6.0 26 20 21 18 11 14 20
(13.6) (4.9) (0.0) (47.3) (36.4) (38.2) (32.7) (20.0) (25.5) (36.4)

Saudi Telecom Co. computer operators
20–29 66 78.4 3.2 7.2 12 40 38 34 19 32 7
(9.8) (1.4) (1.6) (18.2) (60.6) (57.6) (51.5) (28.8) (48.5) (10.6)
30–39 21 82.2 8.7 7.4 3 14 13 12 5 10 6
(10.9) (3.1) (1.5) (14.3) (66.7) (61.9) (57.1) (12.4) (47.6) (28.6)
40+ 13 95.9 21.6 6.6 1 9 8 5 2 8 0
(4.1) (3.2) (1.6) (7.7) (69.2) (61.5) (38.5) (15.4) (61.5) (0.0)

Table 11.

Incidence of complaints as related to duration of work.

Duration of
employment
(year)
Number of
operators
Ergonomic score
mean (SD)
Age (year)
mean (SD)
Computer use
(hours/day)
mean (SD)
Complaints N (%)
None General Eye and vision Neck and shoulder Upper extremity Lower extremity Trunk
King Abdulaziz University computer users
≤2 35 37.6 25.8 6.5 6 14 17 16 7 4 14
(4.4) (2.7) (1.7) (17.1) (40.0) (48.6) (45.7) (20.0) (11.4) (40.0)
3–9 38 36.2 29.3 6.4 5 21 22 22 14 6 22
(6.3) (3.5) (1.9) (13.2) (55.3) (57.9) (57.9) (36.8) (15.8) (57.9)
≤10 27 36.4 42.3 5.8 4 16 18 13 10 5 12
(7.9) (4.5) (2.2) (14.8) (59.3) (66.7) (48.1) (37.0) (18.5) (44.4)

Saudi Airlines Ticket reservation operators
≤2 12 69.7 23.3 6.0 3 5 6 5 2 3 5
(8.2) (1.6) (0.0) (25.0) (41.7) (50.0) (41.7) (16.7) (25.0) (41.7)
3–9 11 68.9 30.6 6.0 4 5 3 4 2 1 4
(7.4) (2.1) (0.0) (36.4) (45.5) (27.3) (36.4) (18.2) (9.1) (36.4)
≤10 77 71.9 43.1 6.0 34 30 30 26 18 19 25
(13.7) (2.9) (0.0) (44.2) (39.0) (39.0) (33.8) (23.4) (24.7) (32.5)

Saudi Telecom Co. computer operators
≤2 31 76.7 25.2 7.2 6 17 18 17 9 14 6
(13.5) (2.2) (1.9) (19.4) (54.8) (58.1) (54.8) (29.0) (45.2) (19.4)
3–9 47 80.3 27.8 7.1 8 28 24 21 13 26 4
(7.7) (1.9) (1.5) (17.0) (59.6) (51.1) (44.7) (27.7) (55.3) (8.5)
≤10 22 90.3 40.8 7.1 2 18 17 13 4 10 3
(13.2) (5.4) (1.8) (9.1) (81.8) (77.3) (59.1) (18.2) (45.5) (13.6)

The impact of the ergonomics score of the workstation on the incidence of operators' complaints is shown in Table 12, where there has been a trend of decrease in the incidence of operators' general complaints, eye and vision complaints, and musculoskeletal complaints, particularly the extremities and the lower trunk complaints, by the increase of the ergonomics score of their workstations.

Table 12.

Incidence of complaints as related to ergonomic score of workstation.

Ergonomic score Number of
operators
Age (year)
mean (SD)
Duration of employment (year)
mean (SD)
Computer use
(hours/day)
mean (SD)
Complaints N (%)
None General Eye and vision Neck and shoulder Upper extremity Lower extremity Trunk
King Abdulaziz University computer users
<60 18 32.7 7.7 5.5 2 11 12 10 9 5 8
(6.9) (4.3) (1.6) (11.1) (61.1) (66.7) (55.6) (50.0) (27.8) (44.4)
60–79 41 31.7 7.2 6.5 7 20 22 19 11 7 21
(7.6) (6.1) (1.5) (17.1) (48.8) (48.8) (46.3) (26.8) (17.1) (51.2)
80+ 27 30.1 6.5 6.1 6 20 26 22 11 4 19
(5.8) (4.4) (2.1) (14.6) (48.8) (63.4) (53.7) (26.8) (9.8) (46.3)

Saudi Airlines Ticket reservation operators
<60 21 40.4 20.3 6.0 8 10 10 6 4 4 8
(10.2) (11.4) (0.0) (38.1) (47.6) (47.6) (28.6) (19.0) (19.0) (38.1)
60–79 57 38.9 18.4 6.0 23 20 20 21 10 14 21
(6.7) (7.9) (0.0) (40.4) (35.1) (35.1) (36.8) (17.5) (24.6) (36.8)
80+ 22 40.0 5.5 6.0 10 10 9 8 8 5 5
(4.5) (5.2) (0.0) (45.5) (45.5) (40.9) (36.4) (36.4) (22.7) (22.7)

Saudi Telecom Co. computer operators
<60 6 26.1 3.6 7.8 1 3 3 3 2 4 3
(2.1) (2.8) (0.9) (16.7) (50.0) (50.0) (50.0) (33.3) (66.7) (50.0)
60–79 35 27.0 3.8 6.8 5 24 19 19 10 19 8
(2.6) (2.0) (1.3) (14.3) (68.6) (54.3) (54.3) (28.6) (54.3) (22.9)
80+ 59 31.9 8.8 7.2 8 36 37 29 14 27 2
(5.8) (5.8) (1.6) (13.6) (61.0) (62.7) (49.2) (23.7) (45.8) (3.4)

Out of the many factors considered for their effects on the incidences of the operators' complaints and symptoms, the smoking habit, the type of work, workers satisfaction, and the operators' history of musculoskeletal complaints and of eye and vision before joining present work showed some effects as indicated in Tables 1317. Smoking appears to have some effect on increasing the incidences of the general and eye and vision complaints, particularly among KAU computer users and SAUDIA operators, and on the lower extremities and lower trunk complaints, to some extent (Table 13).

Table 13.

Incidence of complaints as related to smoking habits.

Smoking
habit
Number of
operators
Ergonomic score
mean (SD)
Age (year)
mean (SD)
Duration of employment (year)
mean (SD)
Computer use
(hours/day)
mean (SD)
Complaints N (%)
None General Eye and vision Neck and shoulder Upper extremity Lower extremity Trunk
King Abdulaziz University computer users
Nonsmokers 79 37.2 30.7 6.3 6.2 12 37 22 40 24 10 37
(7.6) (9.1) (6.6) (2.2) (15.2) (46.8) (27.8) (50.6) (30.4) (12.7) (46.8)
Smokers 21 35.3 34.2 9.0 6.2 3 14 17 11 7 5 11
(7.4) (9.3) (7.9) (3.1) (14.3) (66.7) (81.0) (52.4) (33.3) (23.8) (52.4)

Saudi Airlines Ticket Reservation operators
Nonsmokers 75 72.2 39.5 18.9 6.0 32 27 26 21 15 15 21
(13.8) (9.1) (10.7) (0.0) (42.7) (36.0) (34.7) (28.0) (20.0) (20.0) (28.0)
Smokers 25 69.0 40.4 20.9 6.0 9 13 13 14 7 8 13
(10.4) (9.3) (9.9) (0.0) (36.0) (52.0) (52.0) (56.0) (28.0) (32.0) (52.0)

Saudi Telecom Co. computer operators
Nonsmokers 62 81.8 29.0 6.7 7.0 9 38 35 34 16 33 8
(15.5) (6.5) (6.6) (2.1) (14.5) (61.3) (56.5) (54.8) (25.8) (53.2) (12.9)
Smokers 38 81.0 30.3 7.5 8.7 7 25 24 17 10 17 5
(12.5) (8.4) (8.3) (8.6) (18.4) (65.8) (63.2) (44.7) (26.3) (44.7) (13.2)

Table 17.

Incidence of musculoskeletal complaints as related to previous ailments of computer users/operators.

Complaints Number of
operators
Ergonomic score
mean ± SD
Age (year)
mean ± SD
Duration of employment (year)
mean ± SD
Computer use
(hours/day)
mean ± SD
Complaints N (%)
None General Neck and shoulder Upper extremity Lower extremity Trunk
King Abdulaziz University computer users
None 59 37.6 31.6 6.5 6.0 13 24 20 17 6 20
(7.7) (9.0) (6.6) (2.4) (22.0) (40.7) (33.9) (28.8) (10.2) (33.9)
Neck 22 36.0 29.7 6.3 5.9 1 13 21 9 3 15
(7.3) (8.2) (6.6) (1.5) (4.5) (59.1) (95.5) (40.9) (13.6) (68.2)
Shoulder and arms 11 37.2 29.5 7.2 6.4 1 9 9 8 2 7
(8.8) (8.8) (7.8) (1.5) (9.1) (81.8) (81.8) (72.7) (18.2) (63.6)
Lower trunk 13 32.2 31.4 7.8 7.4 0 11 11 3 3 12
(8.7) (8.5) (7.3) (3.6) (0.0) (84.6) (84.6) (23.1) (23.1) (92.3)
Thigh and leg 5 33.4 34.8 9.6 8.2 0 4 2 1 3 3
(7.0) (15.8) (9.0) (5.6) (0.0) (80.0) (40.0) (20.0) (60.0) (60.0)
Others 1 41.0 35.0 2.0 7.0 0 1 0 0 0 1
(0.0) (0.0) (0.0) (0.0) (0.0) (100.0) (0.0) (0.0) (0.0) (100.0)

Saudi Airlines Ticket reservation operators
None 62 71.4 38.4 18.7 6.0 39 11 8 4 4 7
(13.6) (9.1) (11.2) (0.0) (62.9) (17.7) (12.9) (6.5) (6.5) (11.3)
Neck 24 74.4 39.8 19.4 6.0 0 24 21 12 11 16
(13.4) (8.9) (9.7) (0.0) (0.0) (100.0) (87.5) (50.0) (45.8) (66.7)
Shoulder and arms 11 75.4 42.3 21.8 6.0 0 10 11 7 5 7
(10.4) (8.4) (10.0) (0.0) (0.0) (90.9) (100.0) (63.6) (45.5) (63.6)
Lower trunk 23 70.6 41.7 22.4 6.0 1 15 15 12 14 18
(13.6) (10.1) (10.4) (0.0) (4.3) (65.2) (65.2) (52.2) (60.9) (78.3)
Thigh and leg 8 73.4 40.2 19.0 6.0 1 7 5 6 5 6
(15.2) (7.7) (8.9) (0.0) (12.5) (87.5) (62.5) (75.0) (62.5) (75.0)
Others 1 78.0 45.0 20.0 6.0 0 1 1 0 1 1
(0.0) (0.0) (0.0) (0.0) (0.0) (100.0) (100.0) (0.0) (100.0) (100.0)

Saudi Telecom Co. computer operators
None 55 81.1 29.4 6.4 7.3 13 31 24 7 20 7
(14.5) (7.7) (6.9) (2.0) (23.6) (56.4) (43.6) (12.7) (36.4) (12.7)
Neck 17 82.9 30.1 7.9 6.9 0 16 13 8 12 3
(11.8) (5.8) (7.9) (1.5) (0.0) (94.1) (76.5) (47.1) (70.6) (17.6)
Shoulder and arms 4 84.0 30.0 7.5 6.5 0 4 2 0 1 0
(9.3) (4.6) (7.3) (1.0) (0.0) (100.0) (50.0) (0.0) (25.0) (0.0)
Lower trunk 16 82.3 32.3 8.6 6.8 1 10 7 6 12 1
(15.1) (8.5) (8.4) (3.0) (6.3) (62.5) (43.8) (37.5) (75.0) (6.3)
Thigh and leg 4 84.5 27.2 4.6 7.5 0 1 2 3 3 1
(12.0) (3.9) (4.2) (1.9) (0.0) (25.0) (50.0) (75.0) (75.0) (25.0)
Others 4 72.0 27.7 3.0 6.3 2 1 3 2 2 1
(25.9) (3.5) (2.1) (2.8) (50.0) (25.0) (75.0) (50.0) (50.0) (25.0)

It is worth noting that the lowest eye and vision complaints occurred among the operators who had the lowest level of education (i.e., middle education), which might be interpreted by their relatively lower involvement in vision tasks than the operators having higher levels of education.

As related to the impact of type of work on the incidence of complaints, results in Table 14 show that the operators who were involved in communication tasks in KAU, and in data acquisition in SAUDIA, had the lowest general, eye and vision, neck and shoulder, lower extremities, and lower trunk complaints, as well as those involved in comprehensive activities among all the populations, meanwhile showing the highest freedom from all complaints. It may be noted that the numbers of operators involved in these activities (KAU communication tasks and SAUDIA and STC comprehensive tasks = 8, 3, and 5, resp.) were the lowest among all worker involved in other types of activities which might have some effect on the results.

Table 14.

Incidence of complaints as related to type of work.

Type of
work
Number of
operators
Ergonomic score
mean ± SD
Age (year)
mean ± SD
Duration of employment (year)
mean ± SD
Computer use
(hours/day)
mean ± SD
Complaints N (%)
None General Eye and vision Neck and shoulder Upper extremity Lower extremity Trunk
King Abdulaziz University computer users
Data entry 22 37.5 29.4 5.6 7.0 3 14 10 12 7 1 10
(6.6) (9.4) (7.8) (2.1) (13.6) (63.4) (45.5) (54.5) (31.8) (4.5) (45.5)
Typist 23 36.9 33.8 9.8 7.1 3 17 14 14 8 3 10
(8.2) (9.3) (6.7) (3.0) (13.0) (73.9) (60.9) (60.9) (34.8) (13.0) (43.5)
Data acquisition 18 35.4 33.5 8.6 6.0 1 13 12 8 3 4 11
(6.3) (10.6) (7.3) (2.0) (5.6) (72.2) (66.7) (44.4) (16.7) (22.2) (61.1)
Communication task 8 37.0 28.4 4.1 6.6 3 3 3 3 2 0 3
(5.8) (5.9) (5.9) (5.5) (37.5) (37.5) (37.5) (37.5) (25.0) (0.0) (37.5)
Comprehensive 29 36.8 30.0 5.4 4.8 4 10 20 13 4 6 14
(9.2) (7.5) (6.0) (1.9) (13.8) (34.5) (69.0) (44.8) (13.8) (20.7) (48.3)

Saudi Airlines Ticket reservation operators
Data entry 54 69.6 38.3 17.2 6.0 11 28 26 24 14 15 23
(12.0) (10.4) (11.1) (0.0) (20.4) (51.8) (48.1) (44.4) (25.9) (27.8) (42.6)
Data acquisition 23 77.8 43.3 26.2 6.0 17 3 4 3 2 2 2
(15.8) (6.1) (7.1) (0.0) (73.9) (13.0) (17.4) (13.0) (8.7) (8.7) (8.7)
Communication task 20 66.6 36.7 16.1 6.0 10 9 9 8 6 6 9
(9.6) (8.6) (10.8) (0.0) (50.0) (45.0) (45.0) (40.0) (30.0) (30.0) (45.0)
Comprehensive 3 82.0 39.0 19.3 6.0 3 0 0 0 0 0 0
(14.0) (1.7) (4.1) (0.0) (100) (0.0) (0.0) (0.0) (0.0) (0.0) (0.0)

Saudi Telecom Co. computer operators
Data entry 33 83.4 31.7 8.9 7.2 7 22 22 18 6 16 2
(12.7) (7.9) (8.1) (1.8) (21.2) (66.7) (66.7) (54.5) (18.2) (48.5) (6.1)
Data acquisition 9 85.1 30.0 5.3 9.3 0 6 7 7 3 3 1
(8.3) (3.7) (4.7) (2.0) (0.0) (66.7) (77.8) (77.8) (33.3) (33.3) (11.1)
Communication task 53 79.4 28.2 5.4 6.9 8 32 28 26 14 30 9
(15.7) (7.0) (6.8) (2.1) (15.1) (60.4) (52.8) (49.1) (26.4) (56.6) (17.0)
Comprehensive 5 85.2 34.8 12.8 4.4 1 3 2 0 3 1 1
(17.1) (7.3) (9.3) (2.2) (20.0) (60.0) (40.0) (0.0) (60.0) (20.0) (20.0)

Nevertheless, the work satisfaction showed clear impact on the incidence of health complaints among the examined computer users, where the percentages of those who were free from complaints got higher by the improvement of work satisfaction (Table 15); meanwhile, the lowest incidences of mostly all the complaints were the lowest among the very satisfied operators, particularly the SAUDIA and STC operators.

Table 15.

Incidence of complaints as related to work satisfaction.

Work
satisfaction
Number of
operators
Ergonomic score
mean ± SD
Age (year)
mean ± SD
Duration of employment (year)
mean ± SD
Computer use
(hours/day)
mean ± SD
Complaints N (%)
None General Eye and vision Neck and shoulder Upper extremity Lower extremity Trunk
King Abdulaziz University computer users
Very satisfied 39 38.0 33.7 8.5 6.4 8 18 21 21 7 3 14
(6.5) (10.2) (8.2) (2.7) (20.5) (46.2) (53.8) (53.8) (17.9) (7.7) (35.9)
Satisfied 43 36.6 30.1 5.3 6.0 6 21 22 18 10 7 24
(8.2) (9.2) (5.3) (2.2) (14.0) (48.8) (51.2) (41.9) (23.3) (16.3) (55.8)
Satisfaction to some extent 10 33.5 34.4 8.4 6.2 1 7 4 5 5 1 3
(6.9) (11.2) (8.1) (2.4) (10.0) (70.0) (40.0) (50.0) (50.0) (10.0) (30.0)
Not satisfied 8 33.5 28.5 6.0 6.4 0 5 8 5 5 2 6
(9.7) (3.9) (5.0) (2.2) (0.0) (62.5) (100.0) (62.5) (62.5) (25.0) (75.0)

Saudi Airlines Ticket reservation operators
Very satisfied 35 76.2 39.6 18.9 6.0 22 7 7 7 7 5 7
(14.4) (8.4) (11.5) (0.0) (62.9) (20.0) (20.0) (20.0) (20.0) (14.3) (20.0)
Satisfied 37 66.8 38.9 19.4 6.0 11 16 18 14 8 11 17
(11.6) (10.5) (11.3) (0.0) (29.7) (43.2) (48.6) (37.8) (21.6) (29.7) (45.9)
Satisfaction to some extent 14 74.0 37.8 17.6 6.0 4 7 6 8 2 3 3
(11.0) (8.0) (9.1) (0.0) (28.6) (50.0) (42.9) (57.1) (14.3) (21.4) (21.4)
Not satisfied 14 68.6 40.8 19.3 6.0 4 10 8 6 5 4 7
(11.6) (7.6) (8.6) (0.0) (28.6) (71.4) (57.1) (42.9) (35.7) (28.6) (50.0)

Saudi Telecom Co. computer operators
Very satisfied 29 82.1 30.1 7.2 7.5 6 14 11 16 7 11 4
(16.6) (7.3) (7.2) (2.1) (20.9) (48.3) (37.9) (55.2) (24.1) (37.9) (13.8)
Satisfied 31 84.1 31.0 7.5 6.9 5 22 21 15 8 16 6
(11.0) (8.7) (7.4) (2.0) (16.1) (71.0) (67.7) (48.4) (25.8) (51.6) (19.4)
Satisfaction to some extent 27 79.3 28.5 5.1 7.0 5 17 18 13 7 14 2
(14.8) (5.6) (6.3) (2.2) (18.5) (63.0) (66.7) (48.1) (25.9) (51.9) (7.4)
Not satisfied 13 78.4 29.0 7.3 7.0 0 10 9 7 4 9 1
(15.1) (6.2) (7.5) (2.2) (0.0) (76.9) (69.2) (53.8) (30.8) (69.2) (7.7)

The history of previous ailments among computer users/operators, also, had some impact on the reported complaints among them, where the percentages of the present complaints among the subjects who had no previous ailments were less than among the other subjects reporting related ailments' history (Tables 1618).

Table 16.

Incidence of eye and vision complaints as related to previous ailments of computer users/operators.

Complaints Number of
operators
Ergonomic score
mean ± SD
Age (year)
mean ± SD
Duration of employment (year)
mean ± SD
Computer use
(hours/day)
mean ± SD
Complaints N (%)
None General Eye and vision
King Abdulaziz University computer users
None 58 36.6 30.9 5.4 6.0 12 27 25
(7.5) (9.2) (5.6) (2.0) (20.7) (46.6) (43.1)
Short-sighted 30 37.6 31.3 5.4 6.6 1 20 25
(8.3) (8.8) (5.6) (3.2) (3.3) (66.7) (83.3)
Long-sighted 7 37.2 40.4 18.0 5.7 1 3 3
(6.7) (11.4) (10.8) (2.0) (14.3) (42.9) (42.9)
Others 7 36.5 39.8 11.9 5.6 1 2 5
(4.9) (13.7) (12.3) (2.1) (14.3) (28.6) (71.4)

Saudi Airlines Ticket reservation operators
None 70 71.4 38.9 18.5 6.0 41 18 13
(13.0) (9.1) (10.9) (0.0) (58.6) (25.7) (18.6)
Short-sighted 23 72.2 38.7 18.9 6.0 0 17 19
(13.2) (10.6) (11.4) (0.0) (0.0) (73.9) (82.6)
Long-sighted 2 65.0 47.5 26.5 6.0 0 2 2
(12.8) (0.7) (0.7) (0.0) (0.0) (100.0) (100.0)
Others 5 68.8 43.6 22.8 6.0 0 3 5
(19.0) (4.8) (6.1) (0.0) (0.0) (60.0) (100.0)

Saudi Telecom Co. computer operators
None 58 80.4 29.1 5.8 7.2 13 29 24
(14.9) (6.9) (6.0) (2.0) (22.4) (50.0) (41.4)
Short-sighted 24 84.8 30.3 8.1 6.7 3 19 20
(12.9) (6.2) (7.6) (2.1) (12.5) (79.2) (83.3)
Long-sighted 11 80.0 30.5 6.6 7.2 0 8 8
(13.5) (9.5) (8.4) (2.1) (0.0) (72.7) (72.7)
Others 7 86.0 32.7 10.0 7.4 0 7 7
(14.6) (9.3) (10.3) (2.7) (0.0) (100.0) (100.0)

Table 18.

Freedom of computer users/operators from complaints as related to workstation score number (percent).

Score of workstation KAU computer users Saudi Airlines Ticket reservation operators Saudi Telecom Co. computer operators
Operator sample No
general complaints
No
eye and vision
complaints
No
musculo-skeletal
complaints
Operator sample No
general complaints
No
eye and vision
complaints
No
musculo-skeletal
complaints
Operator sample No
general complaints
No
eye and vision
complaints
No
musculo-skeletal
complaints
<50 8 3 3 1 3 1 1 0
(37.5) (37.5) (12.5) (33.3) (33.3) (0.0)
50–59 10 4 3 6 21 11 11 13 3 2 2 2
(40) (30) (60) (52.4) (52.4) (61.9) (66.7) (66.7) (66.7)
60–69 15 8 6 7 22 13 14 14 11 3 3 3
(53.3) (40) (46.7) (59.1) (63.6) (63.6) (27.3) (27.3) (27.3)
70–79 26 13 15 13 35 24 23 18 24 8 13 12
(50) (57.7) (50) (68.6) (65.7) (51.4) (33.3) (54.2) (50)
80–89 25 12 10 10 8 4 3 4 23 11 11 12
(48) (40) (40) (50) (37.5) (50) (47.8) (47.8) (52.2)
90–100 16 9 5 9 14 8 10 9 36 12 11 15
(56.3) (31.3) (56.3) (57.1) (71.4) (64.3) (33.3) (30.6) (41.7)
Total 100 100 100

4. Conclusions

The average ergonomics score at STC was 81% which may be considered as a good level. However, and unexpectedly, the average ergonomics scores at KAU and SAUDIA were only 73.3% and 70.3%, respectively. It had been anticipated that the average ergonomics scores for the computer workstations existing in leading institutions like KAU and SAUDIA should be considerably higher.

Although the examined populations in KAU and STC were relatively young and, consequently, had relatively short employment work duration, were relatively highly educated, had relatively low smoking index and low history of ailments before employment, had some type of on-the-job and/or formal training, mostly use computer daily for <7 hours and continuously getting rest pauses, and were mostly satisfied at work, yet they had somewhat high incidences of general complaints (e.g., body fatigue, headache, and lack of concentration), vision complaints, and musculoskeletal complaints. However, within SAUDIA population, surprisingly, the highest health complaints were among the youngest operators, who also had the lowest duration of computer work, as well as among those who had on-the-job and/or formal training; meanwhile, no systematic effect of the workstations' ergonomic scores on the incidence of the complaints was observed. These anomalies might be attributed to having some of the operators who developed complaints there left or changed their work.

Naturally, the operators who were satisfied by their work and those who were conducting comprehensive works (i.e., variable types of work) as well as those who had no, or inconsiderable, history of previous ailments had the least incidence of the health complaints.

Meanwhile, higher incidences of the complaints existed among the smoking operators and those who did not work continuously with computer, as well as those who rated themselves as fast operating.

In summary, the incidence of the various complaints had been demonstrated, generally, to increase by (a) the decrease in the ergonomics score of the workstations, (b) the progress of age and duration of employment, (c) the increase of smoking habit, (d) the continuous daily use of computer, (e) the lack of work satisfaction, and (f) the history of operators' previous ailments. However, unexpectedly, no effect could be demonstrated of the operators' formal training and the daily hours of computer use, on the incidences of the complaints.

It is anticipated that the incidences of the different complaints among the examined population increased by their progress in the duration of work. Therefore, it is recommended that rapid actions should be taken to improve the ergonomics of the computer workstations. The improvement of each workstation should be considered separately with reference to the evaluation checklist of its individual components.

Setting up training programs for computer operators to efficiently use their computers and optimize their posture and movements inside their computer workstations based on ergonomics principles is highly recommended. Also, motivation of workers to learn about computer work-related health disorders, their causes, etiology, preferable postures and movements, and the role of fitness exercise, and encouraging them to take rest pauses within their work shifts, all are recommended.

It is recommended to conduct preplacement examination for computers' operators to exclude subjects with history of ailments that might be aggravated by computer use and to have available health baseline for the employed subjects as well as periodical medical examination (annually or each two years) to assure normal health background and to early discover any deviation from normality.

Finally, the study recommends extending the research to cover the sectors of computer and VDTs users, particularly those employed by small offices and medium-size enterprises where it is anticipated to have ergonomics poorly designed workstations. Also, particular interest may be forwarded to investigating the presently studied complaints among the female computer users in KSA.

Conflict of Interests

The author declares that there is no conflict of interests regarding the publication of this paper.

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