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

Table 3 Multivariable analysis of gender-based relationship between occupational characteristics and symptoms of dry eye syndrome

	Model I^a			Model II^b
	OR	95 % CI	P	OR	95 % CI	P
Occupational category
Executive white-collar	1.40	(1.02–1.92)	0.035	1.36	(0.95–1.96)	0.096
Ordinary white-collar	1.73	(1.73–2.41)	0.001	1.70	(1.18–2.45)	0.005
Pink-collar	1.25	(0.92–1.69)	0.152	1.26	(0.90–1.75)	0.181
Green-collar	1.00			1.00
Skilled blue-collar	1.44	(1.04–2.00)	0.028	1.48	(1.05–2.10)	0.027
Unskilled blue-collar	1.33	(0.97–1.82)	0.079	1.39	(1.00–1.95)	0.053
Work period
Day	1.00			1.00
Evening or night	1.08	(0.87–1.33)	0.507	1.07	(0.86–1.33)	0.555
Shift	0.99	(0.74–1.32)	0.933	1.00	(0.75–1.33)	0.974
Work duration, h/week
< 43	1.00			1.00
≥ 43	0.93	(0.81–1.07)	0.328	0.92	(0.80–1.07)	0.274
Work status
Paid worker	1.21	(1.02–1.45)	0.033	1.22	(1.02–1.46)	0.029
Self-employed worker	1.00			1.00
Unpaid family worker	0.95	(0.70–1.28)	0.728	0.96	(0.71–1.31)	0.802
Sunlight exposure h/day
< 2	1.00			1.00
2–5	0.95	(0.79–1.13)	0.536	0.96	(0.80–1.15)	0.679
≥ 5	1.01	(0.80–1.27)	0.943	1.06	(0.83–1.35)	0.631
Exposure to secondhand smoke at indoor workplace, h/day
0	1.00			1.00
0–1	0.91	(0.78–1.06)	0.221	0.90	(0.77–1.06)	0.199
≥ 1	0.99	(0.78–1.25)	0.899	0.97	(0.77–1.28)	0.822

OR odds ratio, CI confidence interval, P p-value
^aModel I: Adjusted for age, sex and body mass index
^bModel II: Adjusted for the variables in Model I, as well as socioeconomic status (education, household income and residence) and health behavioral factors (alcohol drinking, smoking and physical activity)

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