Biomedical Research

DOI: 10.4066/biomedicalresearch.61-18-418

Abstract

Introduction: The increased reliance on computer results in crucial health issues among the users. This research aimed to study the prevalence and factors associated with Computer-related health problems among University students in Majmaah region, Saudi Arabia.

Materials and Methods: 146 students were selected for this cross-sectional study using conveniencesampling technique. Data regarding personal characteristics, computer usage and prevalence of Musculoskeletal disorders (MSDs), Visual symptoms and sleep disorders were collected by a valid, reliable and self-administered questionnaire.

Results: The prevalence of MSDs (any one body region), Visual symptoms (any one symptom) and sleep disorders was 52.7%, 54.8% and 56.8% respectively. Female gender, Laptop use without external mouse and inadequate breaks were associated with MSDs (P<0.05). Extensive smart phone use was associated with sleep disorders (P<0.05).

Conclusion: The measures to promote the awareness about health and safety issues related to computer use among the university students should be given utmost priority. Moreover, the culture of reporting injuries and relevant issues should be encouraged among the student community to enhance early detection and intervention.

Keywords

Computer-related health problems, Computer use, University students, Ergonomics.

Introduction

Computers play an essential role in human life. Computers had revolutionized educational, communication, transport, commerce, healthcare and entertainment sectors. This increased reliance on computer results in crucial health issues among the users [1]. There is steady increase in the computer penetration among residents of Saudi Arabia in the past three years from 43% in 2007 to 53% in 2009 [2].

“Ergonomics is the scientific study of human work” [3]. The goal of Ergonomics is to design the job to fit the worker thereby enhancing working efficiency, comfort, health and safety [4]. Neglecting the principles of ergonomics during computer utility raises the risk of health problems [5]. Musculoskeletal disorders (MSDs), Visual symptoms and Insomnia are the common health problems amongst computer users [6-9].

‘‘Musculoskeletal disorders’’ covers an extensive range of conditions affecting the musculoskeletal system including the joints, muscles, tendons, ligaments, peripheral nerves, and supporting blood vessels [10,11]. MSDs are inflammatory and degenerative in nature with symptoms like pain, numbness, tingling, aching, stiffness, or burning [12]. Improper workstation design and faulty posture are risks associated with computer use. Working in static sitting positions for prolonged duration, results in reduced circulation, joint pain and stiffness. Extended period of continuous work raises the risk of MSDs, and leads to prolonged disability [13].

Daily 3 h usage of computer also leads to a risk of developing visual complaints. Common visual symptoms include eyestrain, headache and blurred vision. Prevalence of visual complaints among computer users ranges from 64% to 90%. Globally almost 60 million computer users suffer from visual complaints and a million new cases of visual complaints arise each year [14]. In a study of association between daily Computer work duration and sleep disturbances, Labbafinejad et al. observed that that subjects who spent longer durations each day on computer work tended to experience sleep disturbances [15].

Not many studies that focused on health issues related to the use of computers among college going students; still exposure to risk may be identical to that of employees who use computers. Noack-Cooper et al. compared the pattern of computer use between the college students and the other group that includes computer professionals. Younger graduate students in their study reported average weekly computer use of 33.7 h, similar to that reported by younger professionals [16]. In a study by Lorusso et al. among Italian college students using desktop computers to determine the prevalence of musculoskeletal symptoms observed that 69%, 53%, 49% of the participants experienced neck, hand/wrist and shoulder symptoms respectively [17].

Logaraj et al. performed a cross sectional survey to study the occurrence of visual complaints amongst engineering students in India using computers. The results showed that, the prevalence of visual complaints was found to be 81.9% among engineering students [14]. University students deserves attention and studies addressing this population is very important to study the pattern of various health problems, associated factors and measures to prevent them. Hence, this study first of its kind in Saudi Arabia was aimed to determine the prevalence and factors associated with health problems among computer science and information technology students of Majmaah University, Saudi Arabia.

Materials and Methods

146 University students in Majmaah region were selected by convenience sampling method to participate in this crosssectional study. Subjects with pregnancy, chronic systemic illness, recent fractures or surgeries were excluded from the study. The researchers obtained the informed consent from the all study participants. The ethical approval was obtained from Ethics committee of Majmaah University. The data collected were handled confidentially.

The data related to personal characteristics, computer usage, and the prevalence of musculoskeletal disorders, visual symptoms and sleep disorders were collected using a valid, reliable and pretested questionnaire. The items related to age, gender, height, weight, Body Mass Index (BMI) and department of study were included in Personal characteristics section. The BMI was classified in accordance with the international classification system of the WHO [18]. The computer usage section consisted of items like years of computer use, daily usage of desktop, laptop, smart phone and other gadgets in hours, breaks and source of ergonomic tips. Musculoskeletal disorders section consists of a series of items adapted from Nordic Musculoskeletal Questionnaire (NMQ) [19]. The NMQ is a predominantly used valid and reliable tool in musculoskeletal surveillance studies. The case definition used in this study was broad enough to differentiate MSDs that were significant to create problems at work from minor complaints.

Musculoskeletal disorder is defined as having had a pertinent symptom such as pain, numbness, tingling, aching, stiffness, or burning sensation that has lasted for a week or more and or occurred monthly with at least moderate pain on average over the past one year. The level of pain was determined with a 5- point pain scale [20]: “none/no pain,” “mild/minimal,” “moderate,” “severe,” and “worst pain ever in my life.” The scientists at the National Institute for Occupational Safety and Health developed and standardized this definition of a musculoskeletal disorder [21].

An ailment of MSD was ascertained by asking a question “Had you presented with any kind of discomfort or pain on the musculoskeletal system over the past one year that is related to the use of computers?” MSD duration was evaluated by the question “How long does the pain or discomfort usually last (24 h or less, 24 h to 1 week, >1 week to 1 month, >1 month to 6 months, or >6 months)?” MSD frequency was evaluated by the question “How many times have you had the pain or discomfort (once every 6 months or less, once every 2-3 months, once a month, once a week, or more often than once a week)?” Participants need to provide appropriate responses for questions related to affected body region if any.

The study participants were asked to report any visual symptoms (headache, burning eyes, redness, and double vision, focusing problem and eye fatigue) experienced while using computer at either university or home within the past 12 months. They were requested to tick whether they had experienced the symptoms, almost never (2 times in a year or less), rarely (once every 2-3 months), sometimes (once in a month), regularly (once in a week) or almost always (daily) during or after computer use. Each symptom was dichotomized into “yes” (sometimes, frequently or almost always) and “no” (almost never or rarely) responses.

The sleep disorders (Insomnia) were screened using Athens Insomnia Scale (AIS). The AIS is a valid and reliable tool to screen sleep disturbances and to determine clinically substantial insomnia. Out of eight AIS items, the first five addresses participant's night-time symptoms (difficulty in sleep initiation, difficulty in maintaining sleep and early morning awakening) and last three items addresses the daytime impact due of sleep disturbances (wellbeing, functioning capacity and daytime sleepiness). The subjects should respond to the items if they faced any sleep disturbances at least weekly thrice during the preceding month. The total score ranged from 0 to 24. The score ‘‘≥ 6’’ is considered as presence of insomnia [22,23].

Statistical analysis

The data were analysed using SPSS for Windows. Descriptive statistics was performed for personal characteristics and computer usage. The prevalence of MSDs (for each body region) was determined by considering the number of participants affected in that body region and dividing it by the total number of participants who answered the questionnaire. The prevalence of visual symptoms calculated, by including the student population with the existing symptoms and dividing it by total number of students who answered the questionnaire. The prevalence of insomnia was considered by taking the number of cases of insomnia and dividing it by the total number of students who answered the questionnaire. The association between selected factors and prevalence of MSDs, visual symptoms and insomnia were analysed using the chisquare test of association. 5% level of probability was used to indicate statistical significance.

Results

The data regarding personal characteristics of the participants is presented in Table 1. Majority of participants were female (57.5%) when compared to males (42.5%). Nearly 54.8% of participants belonged to 22-24 age group. With regard to body mass index, majority of participants (61%) were normal weight whereas 16.4% and 8.9% of them were underweight and obese respectively. Among the participants, 56.2% were Information technology students and 43.8% were computer science students.

Table 1. Personal characteristics of participants.

The data related to desktop usage is presented in Table 2. Majority of the participants (45.9%) reported 5-10 y of computer use. 87% of the participants were using desktop less than 3 h per day. 87% and 87.7% of the participants reported less than 3 h of keyboard and mouse per day respectively. Majority of participants (51.4%) took break once in 2 h during computer use. With regard to the source of ergonomic knowledge, 14.4% of the participants were not aware of ergonomics and 63.7%, 51.4% and 50.7% of the participants mentioned internet, family and friends and college as their source of ergonomic knowledge respectively.

Table 2. Computer usage of participants.

The details related to daily usage of laptop, smart phones and other gadgets by the participants are summarized in Table 3. Majority of the participants (43.8%) reported 3-6 h of laptop usage. 59.6% of participants performed less than 3 h of keying in laptop. When using laptop, only 26.7% and 37% of participants reported using external keyboard and mouse respectively. Majority of the participants (87.7%) reported using I pad or any other gadget less than 3 h.

Table 3. Laptop, smart phones and other gadget usage of participants.

The prevalence of MSDs in any one body region among students in this study was 52.7 % (Figure 1). The pattern of MSDs among the participants showed that highest prevalence was neck disorders (45.9%) followed by upper back (29.4%), lower back (26.7%), shoulders (21.2%), wrists/ hand (20.5%), knee (20.5%), ankles/feet (14.4%), elbow (11%), and hip/thigh (8.9%).

Figure 1: Prevalence and distribution of MSDs.

The prevalence of visual symptoms and insomnia are presented in Table 4. About 22.6% of participants reported wearing corrective lens. The prevalence of any one visual symptom among the participants was 54.8%. The pattern of visual symptoms among the participants showed that highest prevalence was headache (45.2%) followed by eye fatigue (35.6%), focusing problem (34.9%), burning sensations (23.3%), redness (23.3%) and double vision (23.3%). The prevalence of sleep disorders among the participants was 56.8%.

Table 4. Prevalence of visual complaints and insomnia among participants.

The association between personal characteristics and prevalence of MSDs are summarized in Table 5. Female students were more likely to develop MSDs of neck (p=0.03), upper back (p=0.001), lower back (p=0.004) and ankle/feet (p=0.01). The MSDs of upper back was associated with age (p=0.016) and occurred most commonly in 22-24 age group. Over weight students were more likely to develop MSDs of knee (p=0.02). The association between desktop usage and the prevalence of MSDs are presented in Table 6. The years of computer usage was associated with prevalence of MSDs of upper back (p=0.002), hip/thigh (p=0.03), knees (p=0.001) and ankle/feet (p=0.006) and occurred most commonly among the participants reported using computer less than 5 y. The participants who reported availing less frequent breaks (once in 4 h or more) during computer use were more likely to develop MSDs of shoulder (p=0.005), elbow (p=0.02), and wrist/hands (p=0.001).

Table 5. Association between personal characteristics and prevalence of MSDs.

Table 6. Association between desk top usage and prevalence of MSDs.

The association between laptop, smart phone and other gadgets usage and prevalence of MSDs are presented in Table 7. The participants who did not use external mouse while using laptop were more likely to develop MSDs of neck (p=0.001), shoulder (p=0.02), wrist/hand (p=0.003), upper back (p=0.009), lower back (p=0.001) and Knee (p=0.01). Smart phone use was associated with MSDs of ankle/feet and occurred most commonly among the participants reported using smart phones less than 3 h per day.

Table 7. Association between laptop, smart phone and other gadgets usage and prevalence of MSDs.

The association between selected factors and the prevalence of visual symptoms and insomnia are summarized in Table 8. Age was associated with prevalence of visual symptoms (p=0.015) and occurred most commonly in 22-24 age group. The participants using smart phones more than 6 h per day were more likely to develop insomnia (p=0.007).

Table 8. Association between selected factors and prevalence of visual symptoms and insomnia.

Discussion

The current study is the first in Saudi Arabia is conducted with an aim to assess the prevalence of computer-related health problems among University students. Majority of the participants in our study reported using desktop