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Table 6 Multivariate regression analysis of factors on refractive change of grade 1 to 3 students in Hubei Province

From: Study of myopia progression and risk factors in Hubei children aged 7–10 years using machine learning: a longitudinal cohort

variable

Progression in 2020

 

Progression in 2021

 

β (95% CI)

P

β (95% CI)

P

Age

-0.045 (-0.053, -0.032)

0.039

-0.055 (-0.076, -0.041)

0.017

Sex

-0.052 (-0.057, -0.044)

0.018

-0.057 (-0.072, -0.039)

0.010

gestational age at birth

-0.018 (-0.025, -0.011)

0.440

-0.031 (-0.053, -0.026)

0.195

birth weight

-0.010 (-0.033, -0.005)

0.673

-0.034 (-0.053, -0.023)

0.120

body mass index (BMI)

-0.058 (0.049, 0.069)

0.016

-0.061 (0.048, 0.076)

0.006

Baseline refraction

-0.053 (-0.064, -0.037)

0.016

-0.106 (-0.133, -0.079)

< 0.001

Number of myopic parents

-0.047 (-0.058, -0.031)

0.348

-0.054 (-0.084, -0.033)

0.165

Father’s education level

-0.052 (-0.067, -0.035)

0.031

-0.076 (-0.091, -0.045)

< 0.001

Mather’s education level

-0.055 (-0.069, -0.033)

0.021

-0.113 (-0.153, -0.084)

< 0.001

Duration of outdoor activity each day

0.022 (0.013, 0.041)

0.330

0.074 (0.039, 0.092)

0.248

Duration of reading and writing each day

-0.030 (-0.043, -0.019)

0.656

-0.025 (-0.041, -0.018)

0.258

Duration of electronic devices each day

-0.031 (-0.043, -0.026)

0.160

-0.012 (-0.023, 0.024)

0.599

Type of electronics

-0.026 (-0.043, -0.019)

0.779

-0.029 (-0.031, -0.022)

0.195

Frequency of eating sweets

-0.089 (-0.097, -0.062)

0.094

-0.086 (-0.102, -0.057)

0.076

Parental intervention and eye-care awareness

-0.036 (0.013, 0.047)

< 0.001

-0.039 (0.023, 0.076)

< 0.001