| Literature DB >> 31281670 |
Hun Gu Choo1, Sang Hoon Rah1, Soo Han Kim1.
Abstract
PURPOSE: To investigate the association between regional solar radiation and myopia occurrence in South Korean children.Entities:
Year: 2019 PMID: 31281670 PMCID: PMC6590540 DOI: 10.1155/2019/7643850
Source DB: PubMed Journal: J Ophthalmol ISSN: 2090-004X Impact factor: 1.909
Baseline characteristics of the study participants.
| Region | Total ( | Annual solar radiation (MJ/m2) | Annual sunshine duration (h) | ||
|---|---|---|---|---|---|
| Mean SE | Myopia prevalence (%) (defined as ≦−1.50 D) | Myopia prevalence (%) (defined as ≦−0.50 D) | |||
| Seoul | −1.06 + 1.49 | 34.7 | 55.3 | 4143 | 2008 |
| Gyeonggi-do | −0.87 + 1.39 | 30.3 | 50.6 | 4557 | 2219 |
| Gangwon-do | −0.98 + 1.90 | 30.8 | 50 | 4578 | 2072 |
| Chungcheongbuk-do | −0.53 + 1.11 | 23.9 | 42.6 | 4709 | 2212 |
| Chungcheongnam-do | −0.56 + 1.09 | 18.4 | 46.1 | 4817 | 2171 |
| Jeollabuk-do | −0.69 + 1.09 | 29.1 | 48.2 | 4987 | 2039 |
| Jeollanam-do | −0.83 + 1.17 | 25.3 | 50.7 | 4505 | 2131 |
| Gyeongsangbuk-do | −0.85 + 1.46 | 25.3 | 46.7 | 4858 | 2199 |
| Gyeongsangnam-do | −0.66 + 1.62 | 24.4 | 46.8 | 4634 | 2239 |
| Jeju-do | −1.04 + 1.74 | 33.3 | 43.3 | 4535 | 1885 |
SE, spherical equivalent.
Figure 1Scatter plot of solar radiation and sunshine duration with myopia degree and myopia prevalence.
Figure 2(a) Annual solar radiation, (b) mean spherical equivalent, (c) myopia prevalence, and (d) annual sunshine duration have similar a distribution pattern in South Korea.
Multiple linear regression analysis to assess the associations of different variables with mean spherical equivalent.
| Socioeconomic factor | Total ( | |
|---|---|---|
|
|
| |
| Annual solar radiation | ||
| Age | −0.243 | <0.001 |
| Sex (female vs. male) | −0.016 | 0.557 |
| Income level (high vs. low) | −0.061 | 0.027 |
| Sunlight factor | ||
| Solar radiation (MJ/m2) | 0.088 | 0.001 |
|
| ||
| Annual sunshine duration | ||
| Age | −0.243 | <0.001 |
| Sex (female vs. male) | −0.017 | 0.550 |
| Income level (high vs. low) | −0.059 | 0.033 |
| Sunlight factor | ||
| Sunshine duration (h) | 0.069 | 0.014 |
Multiple logistic regression analysis to assess the associations of different variables with myopia prevalence.
| Socioeconomic factor | Total ( | |
|---|---|---|
| Odds ratio (95% CI) |
| |
| Annual solar radiation | ||
| Age | 2.065 (1.751–2.437) | <0.001 |
| Sex (female vs. male) | 0.986 (0.763–1.275) | 0.917 |
| Income level (high vs. low) | 1.256 (0.960–1.644) | 0.096 |
| Sunlight factor | ||
| Solar radiation (100 MJ/m2 increase) | 0.933 (0.886–0.982) | 0.008 |
|
| ||
| Annual sunshine duration | ||
| Age | 2.060 (1.747–2.429) | <0.001 |
| Sex (female vs. male) | 0.985 (0.763–1273) | 0.910 |
| Income level (high vs low) | 1.245 (0.952–1.629) | 0.110 |
| Sunlight factor | ||
| Sunshine duration (100 h increase) | 0.887 (0.782–1.007) | 0.064 |
CI, confidence interval.