Journal List > J Korean Ophthalmol Soc > v.58(4) > 1010736

Lee, Sung, and Lee: Prevalence of Dry Eye Syndrome and Association with Life Behaviors in Adolescents

Abstract

Purpose

To investigate the prevalence and risk factors of dry eye syndrome (DES) among adolescents based on the Ocular Surface Disease Index (OSDI) questionnaire.

Methods

A questionnaire survey was conducted on middle and high school students in Daejeon. DES was diagnosed by an OSDI score ≥ 13. According to the OSDI score, DES was classified as mild (13-22 points), moderate (23-32 points), or severe (33-100 points). Additionally, responses to the questions regarding adolescents’ life behaviors including the duration of elec-tronic device use per week (cellphone, computer, TV), study hours per day, sleeping hours per day, contact lenses use, glasses use, and humidifier use were analyzed to determine the associations with DES.

Results

Of 332 students, DES was diagnosed in 147 (44.3%), and 54 (16.3%) complained of severe DES. The prevalence of DES was higher in female students (p = 0.004), long-time electronic device users (divided on the basis of the mean value, 15.3 hours per week, p = 0.011), and contact lenses users (p = 0.001). The prevalence of DES was 53.9% in groups with ≥ 14 hours of electronic device usage time per week, 40.2% in groups with ≥ 7 hours, and 33.7% in groups with < 7 hours (p = 0.002). The duration of electronic device use per week was a significant risk factor of DES for male students, and contact lenses use was a significant risk factor of DES for female students (p = 0.009).

Conclusions

The prevalence of DES was high among adolescents. Long-time electronic device usage and contact lenses wear were associated with DES and increased the risk of DES.

References

1. The definition and classification of dry eye disease: report of the Definition and Classification Subcommittee of the International Dry Eye WorkShop (2007) . . Ocul Surf. 2007; 5:75–92.
2. Galor A, Feuer W, Lee DJ. . Prevalence and risk factors of dry eye syndrome in a United States veterans affairs population. Am J Ophthalmol. 2011; 152:377–84. e2.
crossref
3. Paulsen AJ, Cruickshanks KJ, Fischer ME. . Dry eye in the beaver dam offspring study: prevalence, risk factors, and health-re-lated quality of life. Am J Ophthalmol. 2014; 157:799–806.
crossref
4. Yoon KC, Choi W, Lee HS. . An overview of ophthalmologic survey methodology in the 2008-2015 Korean National Health and Nutrition Examination Surveys. Korean J Ophthalmol. 2015; 29:359–67.
crossref
5. Um SB, Kim NH, Lee HK. . Spatial epidemiology of dry eye disease: findings from South Korea. Int J Health Geogr. 2014; 13:31.
crossref
6. Roh HC, Lee JK, Kim M. . Systemic comorbidities of dry eye syndrome: the Korean National Health and Nutrition Examination Survey V, 2010 to 2012. Cornea. 2016; 35:187–92.
7. Lee W, Lim SS, Won JU. . The association between sleep duration and dry eye syndrome among Korean adults. Sleep Med. 2015; 16:1327–31.
crossref
8. Ahn JM, Lee SH, Rim TH. . Prevalence of and risk factors as-sociated with dry eye: the Korea National Health and Nutrition Examination Survey 2010-2011. Am J Ophthalmol. 2014; 158:1205–14. e7.
crossref
9. Han SB, Hyon JY, Woo SJ. . Prevalence of dry eye disease in an elderly Korean population. Arch Ophthalmol. 2011; 129:633–8.
crossref
10. Nakaishi H, Yamada Y. . Abnormal tear dynamics and symptoms of eyestrain in operators of visual display terminals. Occup Environ Med. 1999; 56:6–9.
crossref
11. Pisella PJ, Malet F, Lejeune S. . Ocular surface changes in-duced by contact lens wear. Cornea. 2001; 20:820–5.
crossref
12. Nichols JJ, Sinnott LT. . Tear film, contact lens, and patient-related factors associated with contact lens-related dry eye. Invest Ophthalmol Vis Sci. 2006; 47:1319–28.
crossref
13. Kim JH, Song JS, Hyon JY. . A survey of contact lens-related complications in Korea: the Korean Contact Lens Study Society. J Korean Ophthalmol Soc. 2014; 55:20–31.
crossref
14. Yun CM, Kang SY, Kim HM, Song JS. . Prevalence of dry eye dis-ease among university students. J Korean Ophthalmol Soc. 2012; 53:505–9.
crossref
15. Park HJ, Yi K. . Relationship between middle school students’ com-puter using time and dry eye. J Korean Ophthalmol Soc. 2002; 43:449–54.
16. Moon JH, Lee MY, Moon NJ. . Association between video display terminal use and dry eye disease in school children. J Pediatr Ophthalmol Strabismus. 2014; 51:87–92.
crossref
17. Miller KL, Walt JG, Mink DR. . Minimal clinically important difference for the ocular surface disease index. Arch Ophthalmol. 2010; 128:94–101.
crossref
18. Jeong HS, Lim JS, Oh DK. . Prevalence and risk factors of dry eye syndrome in the Incheon area. J Korean Ophthalmol Soc. 2011; 52:1135–41.
crossref
19. Golebiowski B, Badarudin N, Eden J. . The effects of trans-dermal testosterone and oestrogen therapy on dry eye in post-menopausal women: a randomised, placebo-controlled, pilot study. Br J Ophthalmol. 2016; Nov 3. pii: bjophthalmol-2016-309498. doi: 10.1136/bjophthalmol-2016-309498. [Epub ahead of print].
crossref
20. McCarty CA, Bansal AK, Livingston PM. . The epidemiology of dry eye in Melbourne, Australia. Ophthalmology. 1998; 105:1114–9.
21. Statistics Korea and Ministry of Gender Equality and Family . . 2016 Statistics on the Youth. Daejeon: Statistics Korea. 2016.
22. Lee JH, Lee W, Yoon JH. . Relationship between symptoms of dry eye syndrome and occupational characteristics: the Korean National Health and Nutrition Examination Survey 2010-2012. BMC Ophthalmol. 2015; 15:147.
crossref
23. Cho HA, Cheon JJ, Lee JS. . Prevalence of dry eye syndrome after a three-year exposure to a clean room. Ann Occup Environ Med. 2014; 26:26.
crossref
24. Lienert JP, Tarko L, Uchino M. . Long-term natural history of dry eye disease from the patient's perspective. Ophthalmology. 2016; 123:425–33.
crossref

Table 1.
Prevalence of dry eye syndrome according to respondents’ basic characteristics and severity
Characteristics No. DES (n, %) Mild DES (OSDI 13-22) Moderate DES (OSDI 23-32) Severe DES (OSDI 33-100)
Gender Male 208 79 (38.0)* 39 (18.8) 12 (5.8) 28 (13.5)
Female 124 68 (54.8)* 21 (16.9) 21 (16.9) 26 (21.0)
School Level Middle school 162 63 (38.9) 33 (20.4) 13 (8.0) 17 (10.5)
High school 170 84 (49.4) 27 (15.9) 20 (11.8) 37 (21.8)
Total 332 147 (44.3) 60 (18.1) 33 (9.9) 54 (16.3)

* The prevalence was higher in women than in men (chi-square test, p = 0.004).

There were differences in the percentages of moderate and severe DES between male and female students (chi-square test, p = 0.001).

DES = dry eye syndrome; OSDI = ocular surface disease index.

Table 2.
Association between life behavior variables and dry eye syndrome
Variables No. DES p-value* Odds ratio (95% CI)
No. %
Electronic device use per week ≥15.3 hours 110 60 54.5 0.011 1.862
<15.3 hours 222 87 39.2 (1.173-2.956)
Study hours per day ≥10.2 hours 146 69 47.3 0.391 1.241
<10.2 hours 186 78 41.9 (0.802-1.919)
Sleeping hours per day ≥6.7 hours 159 66 41.5 0.388 0.806
<6.7 hours 173 81 46.8 (0.522-1.245)
Contact lenses wear Yes 35 25 71.4 0.001 3.586
No 297 122 41.1 (1.662-7.737)
Glasses wear Yes 221 105 47.5 0.119 1.487
No 111 42 37.8 (0.933-2.369)
Humidifier use Yes 27 14 51.9 0.532 1.393
No 305 133 43.6 (0.633-3.063)

DES = dry eye syndrome; CI = confidence interval.

* Chi-square test.

Table 3.
Life behavior variables affecting dry eye syndrome among adolescents
Variables Group DES (n, %) Mild DES (OSDI 13-22) Moderate DES (OSDI 23-32) Severe DES (OSDI 33-100)
Electronic device use per week ≥14 hours (n = 141) 76 (53.9)* 26 (18.4) 20 (14.2) 30 (21.3)
<14 hours (n = 102) 41 (40.2)* 21 (20.6) 8 (7.8) 12 (11.8)
<7 hours (n = 89) 30 (33.7)* 13 (14.6) 5 (5.6) 12 (13.5)
Contact lenses wear Yes (n = 35) 25 (71.4) 6 (17.1) 7 (20.0)§ 12 (34.3)§
No (n = 297) 122 (41.1) 54 (18.2) 26 (8.8)§ 42 (14.1)§

* The prevalence increased as adolescents used electronic devices for longer periods of time (chi-square test, linear-by-linear association, p = 0.002).

The prevalence of moderate to severe DES also increased in groups with longer use of electronic devices (chi-square test, linear-by-line-ar association, p = 0.002).

The prevalence was higher among contact lenses users (chi-square test, p = 0.001).

§ The prevalence of moderate to severe DES was also higher among contact lenses users (chi-square test, = 0.001).

DES = dry eye syndrome; OSDI = ocular surface disease index.

Table 4.
Logistic regression evaluating factors predictive of dry eye syndrome among adolescents
Stratification Fa ctors Odds ratio (95% CI) p-value
Male (n = 208) Electronic devices 0.027
≥14 hours/<7 hours 2.200 (1.099-4.404) 0.026
<14 hours/<7 hours 0.983 (0.470-2.055) 0.964
Female (n = 124) Contact lenses Yes/No 3.723 (1.382-10.029) 0.009
Non-CL users (n = 297) Electronic devices 0.017
≥14 hours/<7 hours 2.183 (1.221-3.903) 0.008
<14 hours/<7 hours 1.217 (0.653-2.268) 0.537

CI = confidence interval; CL = contact lenses.

TOOLS
Similar articles