Working with visual display terminals (VDT) is growing significantly in the global information age, with the vast growth of digital devices, which is also followed by a higher incidence of health issues. To explore the physical and mental health impacts of long term use of visual display terminals on the population in Jeddah, Saudi Arabia. It was a cross sectional study; the method of non-probability convenient sampling was used to collect data on 503 subjects, in Jeddah city through online-Google forms. Data collection was done through the use of a predesigned questionnaire that provided information on individual, socio-demographic, and clinical features of the subjects as well as information on the aspects of use of VDT. Statistical analysis: data analysis was performed in SPSS version 23. The sample size was 503 subjects with mean age of 31.95 ±12.51 years, 98% of them used VDTs. They used it almost every day (mean= 6.6 ± 1 days), for about 8 hours per day (mean= 8.2± 4.1 hours). Students and office employees used the VDT > 7 hours/day. Almost, all the subjects (99%) used smart phones. Headache, neck pain and shoulder pain, lower back pain, dryness of the eye and interrupted sleep were common complaints among VDT users. It also, interfered with their daily life activities. In principal component factor analysis, duration of use of VDT in hours/day (weight = 0.710), and days/week (weight = 0.724) were significantly loaded on one factor; however, no other variables had weight greater than 0.3 on this factor.
Visual Display Terminals Health Impact During COVID 19 Pandemic on the Population in Jeddah, Saudi Arabia
Fathi El-Gamal1*, Fedaa Najm2, Nedaa Najm2, Jumanah Aljeddawi2
1Department of Family Medicine, Ibn Sina National College for Medical Studies, Jeddah, KSA.
2Ibn Sina National College for Medical Studies, Jeddah, KSA.
ABSTRACT
Working with visual display terminals (VDT) is growing significantly in the global information age, with the vast growth of digital devices, which is also followed by a higher incidence of health issues. To explore the physical and mental health impacts of long term use of visual display terminals on the population in Jeddah, Saudi Arabia. It was a cross sectional study; the method of non-probability convenient sampling was used to collect data on 503 subjects, in Jeddah city through online-Google forms. Data collection was done through the use of a predesigned questionnaire that provided information on individual, socio-demographic, and clinical features of the subjects as well as information on the aspects of use of VDT. Statistical analysis: data analysis was performed in SPSS version 23. The sample size was 503 subjects with mean age of 31.95 ±12.51 years, 98% of them used VDTs. They used it almost every day (mean= 6.6 ± 1 days), for about 8 hours per day (mean= 8.2± 4.1 hours). Students and office employees used the VDT > 7 hours/day. Almost, all the subjects (99%) used smart phones. Headache, neck pain and shoulder pain, lower back pain, dryness of the eye and interrupted sleep were common complaints among VDT users. It also, interfered with their daily life activities. In principal component factor analysis, duration of use of VDT in hours/day (weight = 0.710), and days/week (weight = 0.724) were significantly loaded on one factor; however, no other variables had weight greater than 0.3 on this factor.
Keywords: VDT, Jeddah, Health effects, COVID-19 pandemic.
INTRODUCTION
During COVID-19 pandemic, the use of video display terminals (VDT) obviously increased. It had its significant impact on general health as many researches show [1-4]. Females tended more to use smart phones, while males more frequently used laptops, desktops, as well as, handheld, (non-) active game consoles the use of smartphones dominated the rest [1, 5].
The neck/shoulder region initially reported Musculoskeletal symptoms later on also the upper and lower back, arms, wrist and hand [2].
The majority daily VDT use time of most of the partakers 6–11 hours [3, 4, 6, 7]. There is an increase in incidences of dry eye because of the extreme expansion in internet networks and its mediated communications. 36% of respondents to an internet-based self- screening questionnaire reported dry eye symptoms [8]. In the Commonwealth of Massachusetts, the effects of headaches and musculoskeletal discomfort were higher among VDT workers in public utilities, computer and data processing services than in banking, communications, and hospitals. Less frequent symptoms were double vision and coloured halos around objects, with prevalence below [9]. There is a range of 12.1% to 71.5% in the year-long prevalence of neck pain in grown-ups. The increased Frequency of neck disorder, upper and lower back extremity has been linked to the heightened us of VDT [10-12]. Lower back pain being the chief hinderance in VDT workers. The significant increase in proportion of partakers testifying about physical discomfort from backache to ocular soreness can be attributed to the higher number of VDT work hours [13-15]. An age and gender adjustment in the multivariate models showed a prevalence of wrist/hand symptoms with prolonged screen time [16]. A primarily localization of the dermatological conditions show that repetitive friction and trauma causes the majority of palm and finger problems as well as allergic contact sensitivities [17]. The worsening of depressive and anxiety states form the main mental health effects. Collectively referring to the symptoms as VDT syndrome. A sharp increase in the syndrome is attributed to longer VDT work hours i.e., exceeding five hours [18]. Prolonged use of VDT was associated, also, with insomnia, irritability, weariness, sleep disturbances and psycho-physical troubles [19, 20].
A study in Japan confirmed that an excess of 5hours in VDT attributed to a degradation in mental health in its administrative staff [21]. Additionally, poor self-rated health was linked to a 3 hour plus use of VDT according to a national study of Saudi adults [22]. An exploration of the magnitude and frequency of VDT use during the COVID-19 pandemic, and occurrence of self-reported health complaints among the population of Jeddah, Saudi Arabia was the main aim of the study.
MATERIALS AND METHODS
The method of non-probability convenient sampling was used to collect data for the cross sectional study, on the population through web based online-Google forms. The minimal sample size required for the present study was calculated to be 220 subjects, using G*Power software, according to alpha = 0.05, and Power= 95%, and 5 degrees of freedom [23]. The total number of subjects enrolled in the present study was 503 respondents. collection of data was done by a predesigned questionnaire which provided information on individual, sociodemographic, and clinical features of the subjects; in addition to information on the duration and frequency of use of VDT, as well as the purpose and way of using it. Approval of the design of the study was granted by the Institutional Review Board of the Ibnsina National College for medical studies (No. H-11-09062021).
Statistical analysis: SPSS version 22 was used. Chi square test of significance and principal component factor analysis were used and weights for loading on the variables were calculated. Loadings equal or greater than 0.5 were considered significantly associated with the extracted factor. All variables that significantly loaded on a factor are significantly associated with each other. Level of significance for the present study was 0.05.
RESULTS AND DISCUSSION
The total number for the present study was 503; with a mean of 31.95 years (SD: 12.51). Quite a number of subjects (97.6%) used video display terminals (VDT). The mean use per days of the week was 6.6 days (SD: 1), and the mean hour use of VDT per day was 8.2 (SD: 4.1).
Table 1 shows the distribution of the studied subjects by duration of use of VDT and personal characteristics and self-reported morbidity conditions. Majority of the subjects who used VDT were females (82.3%), and bachelor holders (69.2%); however, they were no significantly related to number per hour use per day (p>0.05). Students and those who have office jobs used the VDT more than 7 hours per day (38.4%, and 30.3% respectively) more than less than 7 hours per day (24.3%, and 25.2%), this difference was statistically significant (p < 0.000). Smoking was irrelevant to use of VDT (p <0.502). Diabetes mellitus was significantly more encountered among those who used VDT less than 7 hours per day compared to those who used VDT over 7 hours per day (11.2%, and 5.7% respectively), where p < 0.027. Joint diseases showed similar trend (p < 0.002). Hypertension, heart disease, visual disturbance and allergies were irrelevant to duration of use of VDT per day (p >0.05). Table 2 displays the distribution of studied subjects by duration of use of VDT per day and characteristics of use of VDT device. Majority of the subjects used smart phones (98.6%), laptops (69.1%), and tablet devices (50.5%).1%); lease percentage used desktop computers (32.1%). The duration of use per day was irrelevant to the VDT device used (p > 0.05). The purpose of use of the device was for study, entertainment and/or work; it was irrelevant to the duration of use per day (p <0.136). Majority of the subjects used the VDT 7 days per week (83.7%); however in was higher among those who used VDT over 7 hours per day (89.2%) compared to those who used the VDT less than 7 hours per day (75.7%), where p <0.002. Majority of the subjects spend time using VDT while sitting on couches (45.8%); those who use VDT over 7 hours per day tended to use desks and bed while using the devices (20.9%, and 38.7% respectively), more commonly compared to those who used DVT devices for less than 7 hours per day (15.6%, and 30.7% respectively), this difference were statistically significant (p <0.013). Table 3 reveals hours of use of VDT per day and self-reported complaints. Headache (76.5%) was the most prevalent complaint among VDT users, followed by neck pain and shoulder pain and lower back pain (59.2%, 55.9%, and 45.7% respectively). Dryness of the eye was next in frequency (52.9%). Double vision and numbness of the fingers were reported by over one third of the VDT users (32.8%, and 37.3% respectively). All these complaints were irrelevant of duration of use of VDTs per day (p > 0.05). Table 4 depicts the association between hours of use of VDTs per day and life style changes. Mood swings (60.0%), and interrupted sleep (56.5%) were main complaints reported by the VDT users, however they were irrelevant to duration of exposure to VDT per day (p > 0.05). Large proportion of the VDT users (44.5%) reported that using VDTs interfered with their daily life activities; and had difficulty falling asleep (44.1%); these complaints were irrelevant to the duration of use VDT per day (p > 0.05). A sizable proportion of the subjects (43.1%) reported that they got depressed, if the VDT hadn’t been available; this was significantly more common among those who use the VDT > 7 hours per day (48.5%) compared to those who use VDT < 7 hours per day (35.4%), where p < 0.004. Table 5 shows the principal component factor analysis for the VDT use characteristics and other personal and clinical variables. The variables use of DVT in hours per day (weight= 0.710), and use of VDT in days per week (weight=0.724) were significantly associated with factor 8; no other variable had weight greater than 0.5 on this factor.
It has long been established that poor self-rated health and severe psychological distress was linked to a 10 hour plus use of VDT for work [21, 22, 24]. Additionally, a 4–9 h usage of VDT especially during the Covid-19 pandemic, was linked to extreme psychological distress among young staff. However as for non-work activities, VDT did not have the extreme effects in both physical and mental health [25]. This study was done to explore the link between self-reported psychological and health distress and VDT usage among the general population, in Saudi Arabia during the COVID-19 pandemic. Smartphone use dominated with a higher usage in girls than boys, whilst in boys there was a much higher use of laptops, desktops, in addition to, handheld, (non) active game consoles. Laptop use increase with increasing school level [1]. Similar findings were found in the present study. Smartphone use dominated multiple activities: homework, videos, games and general use among the devices [26]. Social activity, like messaging and social media, was used the most in the smartphone, whilst tablet use was mainly watching videos, desktop and laptop [6]. In the present study, the purpose of use of the VDT was for study, entertainment and/or work; it was irrelevant to the duration of use per day (p <0.136). Headache (76.5%) was the most prevalent complaint among VDT users, followed by neck pain and shoulder pain and lower back pain (59.2%, 55.9%, and 45.7% respectively). This is similar to previous studies [4, 18, 20] which stated that an increased prevalence of neck disorders, upper and lower back of the body was attributed to a higher use of Visual Display Terminal (VDT). There is an increase in incidences of dry eye because of the extreme expansion in internet networks and its mediated communications. 36% of respondents to a web-based self- screening questionnaire reported dry eye symptoms [8]. This is in line with the present study which found that over 50% of the VDT users suffered from dry eye disease.
Table 1. Distribution of studied subjects by duration of use of VDT and personal characteristics and morbidity history.
Variable |
Categories |
Time of use of VDT per day |
Total |
X2 (p- value) |
|
< 7 hours |
≥ 7 hours |
N % |
|||
N % |
N % |
||||
Gender |
Female |
176 85.9% |
237 97,8% |
413 82,3% |
3.049 (0.081) |
Male |
29 14,1% |
60 20,2% |
89 17,7% |
||
Education |
bachelor or higher |
141 68.4% |
207 69.7% |
348 69.2% |
0.089 (0.765) |
less than bachelor |
65 31.6% |
90 30.3% |
155 30.8% |
||
Job |
No job |
86 41.7% |
75 25.3% |
161 32.0% |
20.091 (0.000) |
Student |
50 24.3% |
114 38.4% |
164 32.6% |
||
Hand worker |
18 8.7% |
18 6.1% |
36 7.2% |
||
Office job |
52 25.2% |
90 30.3% |
142 28.2% |
||
Smoking |
Non smoker |
182 88.3% |
256 86.2% |
438 87.1% |
0.502 (0.479) |
Smoker |
24 11.7% |
41 13.8% |
65 12.9% |
||
Diabetes |
No |
183 88.8% |
280 94.3% |
463 92.0% |
4.920 (0.027) |
Yes |
23 11.2% |
17 5.7% |
40 8.0% |
||
hypertension |
No |
188 91.3% |
274 92.3% |
462 91.8% |
0.160 (0.689) |
Yes |
18 8.7% |
23 7.7% |
41 8.2% |
||
Heart disease |
No |
202 98.1% |
290 97.6% |
492 97.8% |
0.098 (0.754) |
Yes |
4 1.9% |
7 2.4% |
11 2.2% |
||
Joint disease |
No |
178 86.4% |
280 94.3% |
458 91.1% |
9.224 (0.002) |
Yes |
28 13.6% |
17 5.7% |
45 8.9% |
||
Visual impairment |
No |
122 59.8% |
170 58.0% |
292 58.8% |
0.158 (0.691) |
Yes |
82 40.2% |
123 42.0% |
205 41.2% |
||
Allergies |
No |
115 55.8% |
173 58.6% |
288 57.5% |
5.031 (0.282) |
Chest |
20 9.7% |
21 7.1% |
41 8.2% |
||
Rhinitis |
35 17.0% |
21 7.1% |
100 20.0% |
||
Eye |
8 3.9% |
8 2.7% |
16 3.2% |
||
Skin |
28 13.6% |
28 9.5% |
56 11.2% |
Table 2. Distribution of studied subjects by duration of use of VDT and characteristics of use of VDT device.
Variable |
Categories |
Time of use of VDT per day |
Total |
X2 (p- value) |
|
< 7 hours |
≥ 7 hours |
N % |
|||
N % |
N % |
||||
use a smart phone |
No |
1 0.5% |
6 2.0% |
7 1.4% |
2.088 (0.148) |
Yes |
205 99.5% |
291 98.0% |
496 98.6% |
||
use a tablet device |
No |
103 50.0% |
146 49.2% |
249 249.5% |
0.034 (0.854) |
Yes |
103 50.0% |
151 50.8% |
254 50.5% |
||
Use a laptop |
No |
66 32.0% |
89 30.1% |
155 30.9% |
0.221 (0.638) |
Yes |
140 68.0% |
207 69.9% |
347 69.1% |
||
Use a desktop computer |
No |
145 70.4% |
196 66.2% |
341 67.9% |
0.971 (0.325) |
Yes |
61 29.6% |
100 33.8% |
161 32.1% |
||
Purpose of use* |
S |
11 5.3% |
9 3.0% |
20 4.0% |
9.744 (0.136) |
W |
39 18.9% |
41 13.8% |
80 15.9% |
||
E |
41 19.9% |
48 16.2% |
89 17.7% |
||
S,W |
7 3.4% |
14 4.7% |
21 4.2% |
||
W,E |
22 10.7% |
40 13.5% |
62 12.3% |
||
S,E |
51 24.8% |
70 23.6% |
121 24.1% |
||
S,W,E |
35 17.0% |
75 25.3% |
110 21.9% |
||
Number of days per week using devices |
1 |
3 1.5% |
1 0.3% |
4 0.8% |
20.762 (0.002) |
2 |
2 1.0% |
2 0.7% |
4 0.8% |
||
3 |
5 2.4% |
2 0.7% |
7 1.4% |
||
4 |
1 0.5% |
1 0.3% |
2 0.4% |
||
5 |
31 15.0% |
15 5.1% |
46 9.1% |
||
6 |
8 3.9% |
11 3.7% |
19 3.8% |
||
7 |
156 75.7% |
265 89.2% |
421 83.7% |
||
Way of spending time on VDT |
On desk |
32 15.6% |
62 20.9% |
94 18.7% |
8.630 (0.013) |
On couch |
110 53.7% |
120 40.4% |
230 45.8% |
||
On bed |
63 30.7% |
115 38.7% |
178 35.5% |
*S:study ; W:worke ; E:entertainment.
Table 3. Distribution of studied subjects by duration of use of VDT and occurrence of health problems.
Variable |
categories |
Time of use of VDT per day |
Total |
X2 (p- value) |
|
< 7 hours |
≥ 7 hours |
N % |
|||
N % |
N % |
||||
Eye dryness |
No |
97 47.1% |
140 47.1% |
237 47.1% |
0.00 (0.991) |
Yes |
109 52.9% |
157 52.9% |
266 52.9% |
||
Headache |
No |
52 25.2% |
66 22.2% |
118 23.5% |
0.618 (0.432) |
Yes |
154 74.8% |
231 77.8% |
385 76.5% |
||
Double vision |
No |
139 67.5% |
199 67.0% |
338 67.2% |
0.012 (0.912) |
Yes |
67 32.5% |
98 33.0% |
165 32.8% |
||
Neck pain |
No |
84 40.8% |
121 40.7% |
205 40.8% |
0.00 (0.994) |
Yes |
122 59.2% |
176 59.3% |
298 59.2% |
||
Shoulder pain |
No |
92 44.7% |
130 43.8% |
222 44.1% |
0.039 (0.843) |
Yes |
114 55.3% |
167 56.2% |
281 55.9% |
||
Lower or upper back pain |
Upper |
49 23.8% |
57 19.2% |
106 21.1% |
3.613 (0.164) |
Lower |
84 40.8% |
146 49.2% |
230 45.7% |
||
No |
73 35.4% |
94 31.6% |
167 33.2% |
||
Wrist pain |
No |
149 72.3% |
226 76.1% |
375 74.6% |
0.908 (0.341) |
Yes |
57 27.7% |
71 23.9% |
128 25.4% |
||
Hands joint pain |
No |
142 68.9% |
228 76.8% |
370 73.6% |
3.840 (0.050) |
Yes |
64 31.1% |
69 23.2% |
133 26.4% |
||
Hands muscle weakness |
No |
163 79.1% |
244 82.2% |
407 80.9% |
0.722 (0.395) |
Yes |
43 20.9% |
53 17.8% |
96 19.1% |
||
Fingertips numbness |
No |
124 60.2% |
190 64.0% |
314 62.4% |
2.073 (0.355) |
Yes |
81 39.3% |
107 36.0% |
188 37.4% |
||
Hands shivering |
No |
172 83.5% |
239 80.5% |
411 81.7% |
0.744 (0.388) |
Yes |
34 16.5% |
58 19.5% |
92 18.3% |
||
Dry hands |
No |
163 79.1% |
233 78.5% |
396 78.7% |
0.033 (0.856) |
Yes |
43 20.9% |
64 21.5% |
107 21.3% |
||
Itchiness hands |
No |
165 80.1% |
258 86.9% |
423 84.1% |
4.170 (0.041) |
Yes |
41 19.9% |
39 13.1% |
80 15.9% |
||
Recurrent skin inflammation |
No |
177 85.9% |
262 88.2% |
439 87.3% |
0.576 (0.448) |
Yes |
29 14.1% |
35 11.8% |
64 12.7% |
Table 4. Distribution of studied subjects by duration of use of VDT and life style and psychological state.
Variable |
categories |
Time of use of VDT per day |
Total |
X2 (p- value) |
|
< 7 hours |
≥ 7 hours |
N % |
|||
N % |
N % |
||||
Interference with daily life activity |
No |
115 55.8% |
164 55.2% |
279 55.5% |
0.018 (0.893) |
Yes |
91 44.2% |
133 44.8% |
224 44.5% |
||
Depressed if VDT is not available |
No |
133 64.6% |
153 51.5% |
286 56.9% |
8.442 (0.004) |
Yes |
73 35.4% |
144 48.5% |
217 43.1% |
||
Mood swings |
No |
87 42.2% |
114 38.4% |
201 40.0% |
0.751 (0.386) |
Yes |
119 57.8% |
183 61.6% |
302 60.0% |
||
Difficulty falling asleep |
No |
115 55.8% |
166 55.9% |
281 55.9% |
0.00 (0.988) |
Yes |
91 44.2% |
131 44.1% |
222 44.1% |
||
Interrupted sleep |
No |
90 43.7% |
129 43.4% |
219 43.5% |
0.003 (0.955) |
Yes |
116 56.3% |
168 56.6% |
284 56.5% |
Table 5. Principal component factor analysis with Vari Max rotation of the use of VDT and personal, social, morbidity history
Rotated Component Matrix |
||||||||
Variables |
Component |
|||||||
1 |
2 |
3 |
4 |
5 |
6 |
7 |
8 |
|
Sex |
-.041 |
.087 |
-.817 |
.006 |
.043 |
.065 |
.043 |
-.070 |
Age |
.634 |
-.062 |
.285 |
-.160 |
-.139 |
.128 |
-.139 |
-.293 |
Smoking |
-.088 |
.094 |
.776 |
-.080 |
.155 |
-.006 |
-.003 |
.047 |
Diabetes Mellitus |
.477 |
-.113 |
.387 |
.054 |
-.298 |
.152 |
.224 |
-.062 |
Hypertension |
.373 |
.025 |
.323 |
.145 |
-.425 |
.296 |
.027 |
-.146 |
Use of VDT hours/day |
-.047 |
.039 |
.051 |
.113 |
.075 |
-.108 |
.196 |
.710 |
Use of VDT days/weeks |
.032 |
-.053 |
.047 |
.049 |
-.121 |
.095 |
-.225 |
.724 |
Eye dryness |
.302 |
.178 |
-.099 |
.142 |
.271 |
.196 |
.071 |
.059 |
Headache |
-.207 |
.501 |
-.234 |
.083 |
.149 |
.202 |
.118 |
.114 |
Double vision |
.170 |
.235 |
-.043 |
.107 |
.260 |
.135 |
.398 |
-.061 |
Neck pain |
.137 |
.721 |
.085 |
.137 |
.063 |
.196 |
.094 |
.004 |
Shoulder pain |
.240 |
.748 |
.011 |
.059 |
.067 |
.042 |
.037 |
-.058 |
Lower/ upper back pain |
-.115 |
-.688 |
-.001 |
-.025 |
-.055 |
.124 |
-.062 |
.010 |
Wrist pain |
.702 |
.228 |
-.107 |
.015 |
.115 |
.014 |
-.070 |
.039 |
Hands joint pain |
.699 |
.172 |
-.047 |
.045 |
.113 |
.048 |
.089 |
.048 |
weakness in hand muscles |
.585 |
.165 |
.010 |
-.138 |
.196 |
.200 |
.305 |
.104 |
Numbness in fingertips |
.424 |
-.043 |
-.002 |
.315 |
.068 |
-.059 |
.328 |
-.136 |
Tremors |
-.040 |
.179 |
.042 |
.112 |
-.130 |
.027 |
.756 |
.001 |
Dry rough hands |
.236 |
-.044 |
-.102 |
-.109 |
.291 |
.243 |
.515 |
.071 |
Hand itchiness |
.186 |
.042 |
.050 |
.113 |
.073 |
.748 |
.111 |
-.071 |
recurrent skin inflammations |
.037 |
.094 |
-.078 |
-.035 |
.056 |
.799 |
.060 |
.041 |
VDT interferes with daily life activities |
.077 |
.113 |
-.145 |
.573 |
.187 |
-.043 |
-.095 |
.031 |
Depressed/ anxious if VDT are not available |
.026 |
.006 |
.049 |
.741 |
.048 |
.024 |
.069 |
.194 |
Mood swings |
-.142 |
.170 |
.003 |
.656 |
.197 |
.148 |
.170 |
-.033 |
Difficulty falling asleep |
.084 |
.092 |
.035 |
.275 |
.663 |
.047 |
.071 |
-.035 |
Interrupted sleep |
.149 |
.148 |
.133 |
.230 |
.675 |
.127 |
.027 |
-.054 |
Double vision and numbness of the fingers were reported by over one third of the VDT users (32.8%, and 37.3% respectively). This is consistent with findings from previous study [10, 17]. The worsening of anxiety and depressive states have been reported as mental health effects. Prolonged VDT work is associated with insomnia, irritability, weariness, psycho-physical troubles [18-20]. In the present study mood swings (60.0%), and interrupted sleep (56.5%) were main complaints reported by the VDT users. Large proportion of the VDT users (44.5%) reported that using VDTs interfered with their daily life activities; and had difficulty falling asleep (44.1%). In the recent years there has been a rapid increase in smartphone use. This may result in the convergence of internet addiction and mobile phone problems into smartphone addiction [26]. In the present study a 43.1% reported that they got depressed, if the VDT hadn’t been available; this was significantly more common among those who use the VDT > 7 hours per day. Principal component factor analysis revealed that all physical and psychological manifestations were irrelevant of the duration of usage of VDT regarding hours per day or days per week.
Limitations
Some limitations to this study are: firstly, there is a subjective measurement of the use of VDT that might not represent the existent use. However, a closed estimate of actual use was employed by asking the partakers the total hours of VDT usage per day. Secondly, due to the cross-sectional nature of the study, it is not possible to deduce if the effects of the use of VDT in the COVID-19 pandemic will have a persevere in the long run. In order to look into the long-term health effects of non-pharmacological measures during the COVID-19 pandemic, further studies are required.
CONCLUSION
Almost, all the subjects (99%) used smartphones. Headache, neck pain and shoulder pain and lower back pain, and dryness of the eye, mood swings and interrupted sleep were common complaints among VDT users. It also, interfered with their daily life activities. In principal component factor analysis use of DVT in hours per day (weight= 0.710), and days per week (weight=0.724) were significantly loaded on one factor; however, no other variables had weight greater than 0.5 on this factor. Prolonged use of VDT may lead to VDT addiction. A recommendation of more study on the links between health and purpose- specific VDT usage.
ACKNOWLEDGMENTS: We thank all the participants for their cooperation throughout the study.
CONFLICT OF INTEREST: None
FINANCIAL SUPPORT: None
ETHICS STATEMENT: The study was conducted according to the guidelines of the Declaration of Helsinki and approved by the Institutional Review Board of Ibnsina National College for medical studies (No. H-11-09062021, approval date: 9 – 6- 2021).
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