Association between weight-adjusted waist index and myopia in adolescents and young adults: results from NHANES 1999–2008

Table 2 Association between weight-adjusted waist index and myopia

Weight-adjusted-waist index group	Minimally adjusted model (Model 1) ^a	Fully adjusted model (Model 2) ^b
SE^c(D)/β^d(95% CI^e)
Continuous	0.067 (0.018, 0.115)	0.098 (0.028, 0.167)
Categories
Tertile 1	Reference	Reference
Tertile 2	0.048 (-0.039, 0.134)	0.101 (-0.001, 0.203)
Tertile 3	0.148 (0.054, 0.241)	0.234 (0.109, 0.359)
P for trend	0.002	< 0.001
Myopia/OR^f(95% CI)
Continuous	0.967 (0.966, 0.967)	0.922 (0.921, 0.924)
Categories
Tertile 1	Reference	Reference
Tertile 2	0.968 (0.967, 0.970)	0.923 (0.922, 0.925)
Tertile 3	0.910 (0.908, 0.911)	0.802 (0.800, 0.804)
P for trend	< 0.001	< 0.001
Mild myopia /OR (95% CI)
Continuous	0.988 (0.987, 0.989)	0.930 (0.929, 0.931)
Categories
Tertile 1	Reference	Reference
Tertile 2	0.974 (0.972, 0.975)	0.924 (0.923, 0.926)
Tertile 3	0.933 (0.931, 0.935)	0.804 (0.802, 0.806)
P for trend	< 0.001	< 0.001
Moderate myopia/OR (95% CI)
Continuous	0.945 (0.944, 0.946)	0.956 (0.954, 0.958)
Categories
Tertile 1	Reference	Reference
Tertile 2	0.975 (0.973, 0.978)	0.965 (0.962, 0.967)
Tertile 3	0.920 (0.917, 0.922)	0.899 (0.896, 0.902)
P for trend	< 0.001	< 0.001
High myopia/OR (95% CI)
Continuous	0.713 (0.711, 0.715)	0.646 (0.644, 0.649)
Categories
Tertile 1	Reference	Reference
Tertile 2	0.836 (0.833, 0.829)	0.757 (0.754, 0.761)
Tertile 3	0.556 (0.553, 0.558)	0.442 (0.439, 0.445)
P for trend	< 0.001	< 0.001

Data were weighted estimates
In sensitivity analysis, the weight-adjusted waist index was converted from a continuous variable to a categorical variable (tertiles)
^aModel 1: adjusted for sex, age and race
^bModel 2: adjusted for sex, age, race, education level, body mass index, serum vitamin D level, poverty income ratio, and TV and computer use time
^cSE: Spherical equivalent
^dβ: effect size
^e95% CI: 95% confidence interval
^fOR: odds ratio

ISSN: 1471-2415