SYMPTOMS AND THEIR PREVALENCE
The existence of symptoms associated with computer use has been widely documented in the scientific literature for over 20 years. However, determining the actual symptom prevalence is challenging because of continually increasing adoption of computers and other digital devices, the widely varying usage conditions, and the diverse instruments and procedures which have been used for detection. In most cases, symptoms occur when the visual demands of the task exceed the visual abilities of the patient to comfortably perform them. At greatest risk for development of symptoms are patients who spend two or more continuous hours of daily computer use.
According to the American Optometric Association,
14 the most common symptoms are blurred vision, dry eyes, eyestrain, headaches, and pain in the neck and shoulders. Other common complaints include difficulty concentrating, diplopia, loss of comprehension over time, movement of the text on the screen, a pulling sensation, and sleepiness. Most symptoms are associated with computer use, although patients with computer-related symptoms also frequently complain of symptoms with reading or other close work.
The 2016 Digital Eye Strain report
6 included survey responses from over 10,000 U.S. adults and identified an overall self-reported symptom prevalence of 65%; females were somewhat more commonly affected than males (69% vs. 60%, respectively). Symptoms were more frequently reported if individuals used two or more devices simultaneously (75%), compared with those using just one device (53%). Among 426 Spanish civil servants evaluated with a validated questionnaire, the overall prevalence of symptoms was 53%.
15 Contact lens wearers were more likely to be affected (65%) than non-wearers (50%) after six or more hours of computer use.
15
Sheedy et al
16 described two distinct sets of symptoms: internal symptoms of ache, headache behind the eyes, and strain were linked to accommodative and/or binocular vision stress, whereas external symptoms of burning, dryness, irritation, and tearing were more closely linked to dry eye. Portello et al
11 also identified a categorical split of computer-related symptoms: those associated with accommodation (blurred near vision, blurred distance vision after computer use, and difficulty refocusing after looking from one distance to another) and those linked to dry eye (dry eyes, eye discomfort, eyestrain, headache, irritated/burning eyes, tired eyes, and sensitivity to bright lights).
Portello et al
11 documented the frequency (during the preceding week) that a particular symptom had been experienced at least “some of the time” during computer use by over 50% of respondents (
Table 20.1). Emphasizing the frequent and persistent nature of symptoms, 17.3% to 39.8% of respondents reported at least one symptom over 50% of the time during computer use. A greater incidence of computer-related symptoms in females may be linked to gender differences in dry eye prevalence.
17,18 Considering dry eye disease (DED) in computer users, a recent meta-analysis (16 studies,
n = 11,365 subjects) estimated an overall prevalence of 49.5%, with a range of 9.5% to 87.5%.
18 The problem of dry eye from digital device usage is not limited to adults. A South Korean study revealed that longer durations of visual display terminal (VDT)
19 and smartphone
19,20 use are risk factors for DED in children. Cessation of smartphone use for a 4-week period in children aged 7 to 12 years with DED resulted in significant improvements in noninvasive tear breakup time (BUT), punctate epithelial erosion, and Ocular Surface Disease Index scores, with affected children no longer being classified as having DED after the 4-week abstinence period.
20
In summary, recent data representative of currently used devices indicate that many millions of adults are symptomatic after computer use. Although the prevalence has not been extensively evaluated, children also often have symptoms related to computer use. A meta-analysis of available data linked to asthenopia in children (5 studies,
n = 2,465 subjects)
21 reported a pooled prevalence of 19.7%. The scarcity of data in this area was highlighted, along with difficulties comparing studies because of the variation in methods.
21 Given the possible impact of asthenopia on learning and school performance, and the increasing digital device use by children, further research is needed to appraise the consequences of children’s symptoms associated with computer use.
ANALYSIS OF BINOCULAR AND ACCOMMODATIVE DATA
Patients with visually related computer symptoms often have accommodation-based problems. Although a significant heterophoria at near may be an important finding in many cases, clinicians should use their judgment and generally rely on characteristics in addition to the magnitude of the heterophoria at distance and near in order to reach a diagnosis.
Direct tests of fusional vergence, including step, smooth, and jump vergences, are important in diagnosis. In addition, tests that indirectly assess fusional vergence should be considered. Tests performed binocularly with minus lenses evaluate the ability to stimulate accommodation and control binocular alignment using negative fusional vergence (NFV) (e.g., positive relative accommodation [PRA] and binocular accommodative facility [BAF] testing with minus lenses). A characteristic finding in patients with visually related computer use symptoms is a report of blur, rather than diplopia, as the endpoint on PRA and BAF testing.
Reduced PRA or BAF results may stem from the inability to stimulate accommodation or from reduced NFV. The differential diagnosis is based on the assessment of accommodation under monocular conditions. Simply cover one eye after the patient reports blur on the PRA test; if blur persists, the problem is usually accommodative (accommodative insufficiency or ill-sustained accommodation). If the vision clears, the problem is associated with binocular vision (NFV). Normal monocular accommodative ability on accommodative facility testing suggests reduced NFV.
Another important indirect test of NFV is monocular estimation method (MEM) retinoscopy.
22 It is not unusual to find an abnormal result on this test on patients with visually related CUC symptoms. An MEM finding of greater plus than expected suggests that the patient is using as little accommodation as possible to decrease the use of accommodation or accommodative convergence.