Relationship between symptoms of dry eye syndrome and occupational characteristics: the Korean National Health and Nutrition Examination Survey 2010-2012

June Hee Lee, Wanhyung Lee, Jin Ha Yoon, Hongdeok Seok, Jaehoon Roh, Jong Uk Won

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

Background: Dry Eye Syndrome (DES) is a broad spectrum of uncomfortable ocular conditions that are caused by reduced production of tears or an increased tear evaporation rate. This study evaluated the relationship between symptoms of DES and occupational characteristics to identify the occupation-dependent differences in the prevalence of symptoms of DES using the Korean National Health and Nutrition Examination Survey V (2010-2012) data. Methods: A total of 6023 participants were included (3203 men and 2820 women). Questionnaires and physical examinations were used to record clinical characteristics, occupational characteristics and medical history. Odds ratios (ORs) and 95 % confidence intervals (95 % CIs) for symptoms of DES were calculated according to the occupational characteristics. Results: Among the participants, 963 persons (16.0 %) had symptoms of DES. An increased risk (relative to the green-collar group) was observed for the ordinary white-collar (OR, 1.73; 95 % CI, 1.73-1.41), executive white-collar (OR, 1.40; 95 % CI, 1.02-1.92) and skilled blue-collar (OR, 1.44; 95 % CI, 1.04-2.00) groups. Furthermore, paid workers had a significantly higher risk of dry eye symptoms (OR, 1.21; 95 % CI, 1.02-1.45), compared to self-employed workers. Conclusion: Our study is the first research to reveal that white-collar workers have a higher risk of symptoms of DES than blue-collar workers, that skilled blue-collar workers have a higher risk than unskilled blue-collar workers, and that paid workers have a higher risk than self-employed workers.

Original languageEnglish
Article number147
JournalBMC Ophthalmology
Volume15
Issue number1
DOIs
Publication statusPublished - 2015 Oct 29

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Dry Eye Syndromes
Nutrition Surveys
Odds Ratio
Confidence Intervals
Tears
Occupations
Physical Examination
Research

All Science Journal Classification (ASJC) codes

  • Ophthalmology

Cite this

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title = "Relationship between symptoms of dry eye syndrome and occupational characteristics: the Korean National Health and Nutrition Examination Survey 2010-2012",
abstract = "Background: Dry Eye Syndrome (DES) is a broad spectrum of uncomfortable ocular conditions that are caused by reduced production of tears or an increased tear evaporation rate. This study evaluated the relationship between symptoms of DES and occupational characteristics to identify the occupation-dependent differences in the prevalence of symptoms of DES using the Korean National Health and Nutrition Examination Survey V (2010-2012) data. Methods: A total of 6023 participants were included (3203 men and 2820 women). Questionnaires and physical examinations were used to record clinical characteristics, occupational characteristics and medical history. Odds ratios (ORs) and 95 {\%} confidence intervals (95 {\%} CIs) for symptoms of DES were calculated according to the occupational characteristics. Results: Among the participants, 963 persons (16.0 {\%}) had symptoms of DES. An increased risk (relative to the green-collar group) was observed for the ordinary white-collar (OR, 1.73; 95 {\%} CI, 1.73-1.41), executive white-collar (OR, 1.40; 95 {\%} CI, 1.02-1.92) and skilled blue-collar (OR, 1.44; 95 {\%} CI, 1.04-2.00) groups. Furthermore, paid workers had a significantly higher risk of dry eye symptoms (OR, 1.21; 95 {\%} CI, 1.02-1.45), compared to self-employed workers. Conclusion: Our study is the first research to reveal that white-collar workers have a higher risk of symptoms of DES than blue-collar workers, that skilled blue-collar workers have a higher risk than unskilled blue-collar workers, and that paid workers have a higher risk than self-employed workers.",
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Relationship between symptoms of dry eye syndrome and occupational characteristics : the Korean National Health and Nutrition Examination Survey 2010-2012. / Lee, June Hee; Lee, Wanhyung; Yoon, Jin Ha; Seok, Hongdeok; Roh, Jaehoon; Won, Jong Uk.

In: BMC Ophthalmology, Vol. 15, No. 1, 147, 29.10.2015.

Research output: Contribution to journalArticle

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T1 - Relationship between symptoms of dry eye syndrome and occupational characteristics

T2 - the Korean National Health and Nutrition Examination Survey 2010-2012

AU - Lee, June Hee

AU - Lee, Wanhyung

AU - Yoon, Jin Ha

AU - Seok, Hongdeok

AU - Roh, Jaehoon

AU - Won, Jong Uk

PY - 2015/10/29

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N2 - Background: Dry Eye Syndrome (DES) is a broad spectrum of uncomfortable ocular conditions that are caused by reduced production of tears or an increased tear evaporation rate. This study evaluated the relationship between symptoms of DES and occupational characteristics to identify the occupation-dependent differences in the prevalence of symptoms of DES using the Korean National Health and Nutrition Examination Survey V (2010-2012) data. Methods: A total of 6023 participants were included (3203 men and 2820 women). Questionnaires and physical examinations were used to record clinical characteristics, occupational characteristics and medical history. Odds ratios (ORs) and 95 % confidence intervals (95 % CIs) for symptoms of DES were calculated according to the occupational characteristics. Results: Among the participants, 963 persons (16.0 %) had symptoms of DES. An increased risk (relative to the green-collar group) was observed for the ordinary white-collar (OR, 1.73; 95 % CI, 1.73-1.41), executive white-collar (OR, 1.40; 95 % CI, 1.02-1.92) and skilled blue-collar (OR, 1.44; 95 % CI, 1.04-2.00) groups. Furthermore, paid workers had a significantly higher risk of dry eye symptoms (OR, 1.21; 95 % CI, 1.02-1.45), compared to self-employed workers. Conclusion: Our study is the first research to reveal that white-collar workers have a higher risk of symptoms of DES than blue-collar workers, that skilled blue-collar workers have a higher risk than unskilled blue-collar workers, and that paid workers have a higher risk than self-employed workers.

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