| Literature DB >> 33238929 |
Hailong He1,2, Jing Fu3, Zhaojun Meng1, Weiwei Chen1,2, Lei Li1, Xinyu Zhao4.
Abstract
BACKGROUND: To estimate the prevalence of strabismus and associated risk factors among grade one school children in Lhasa, Tibet, China.Entities:
Keywords: Children; Epidemiology; Prevalence; Strabismus
Mesh:
Year: 2020 PMID: 33238929 PMCID: PMC7687812 DOI: 10.1186/s12886-020-01732-2
Source DB: PubMed Journal: BMC Ophthalmol ISSN: 1471-2415 Impact factor: 2.209
Characteristics of participants of LCES (N = 1856)
| Items | Values |
|---|---|
| Age, years (mean ± sd) | 6.83 ± 0.46 |
| Gender, | |
| Boy | 984 (53%) |
| Girl | 872 (47%) |
| Ethnic categories, | |
| Tibetan Minority | 1762 (94.9%) |
| Han Majority | 85 (4.6%) |
| Others Majorities | 9 (0.5%) |
| Height, cm, (mean ± sd) | 120.55 ± 5.52 |
| Weight, kg, (mean ± sd) | 22.96 ± 3.69 |
| BMI, kg/m2, (mean ± sd) | 15.74 ± 1.80 |
| Heart rate, beat, (mean ± sd) | 95.27 ± 14.27 |
| Oxygen saturation, %, (mean ± sd) | 92.68 ± 3.07 |
| BCVA, LogMAR, (mean ± sd) | |
| Right eyes | 0.05 ± 0.11 |
| Left eyes | 0.05 ± 0.10 |
| Cycloplegic SE, D, (mean ± sd) | + 1.07 ± 0.92 |
| Ocular dominance eyes, | |
| Right eyes | 1192 (64.2%) |
| Left eyes | 664 (35.8%) |
Prevalence of strabismus and subtypes (N = 1856)
| Classification | |
|---|---|
| Exotropia | 43 (2.3) |
| Basic non-specific type | 31 (1.7) |
| Divergence excess | 1 (0.1) |
| Convergence insufficiency type | 11 (0.6) |
| Esotropia | 8 (0.4) |
| Accommodative esotropia | 5 (0.3) |
| Non-accommodative esotropias | 1 (0.1) |
| Others | 2 (0.1) |
| Vertical deviation combining horizontal strabismus | 8 (0.4) |
| Exotropia combining SOP | 7 (0.4) |
| Exotropia combining DDP | 1 (0.1) |
| Vertical strabismus | 3 (0.2) |
| SOP | 3 (0.2) |
| Microtropia | 2 (0.1) |
| Others | 4 (0.2) |
| Duane syndrome | 2 (0.1) |
| DVD combining oblique muscle dysfunction | 1 (0.1) |
| Nystagmus for congenital cataract | 1 (0.1) |
| Total | 68 (3.7%) |
Fig. 1Distribution of the magnitude of exotropia and esotropia at 33 cm
Fig. 2Distribution of the magnitude of exotropia and esotropia at 6 m
Risk factors associated with strabismus
| Characters | OR(95%CI) | |
|---|---|---|
| Age | 0.9865 | 1.00 (0.59–1.69) |
| Gender | 0.8177 | 0.94 (0.58–1.54) |
| Ethnic | 0.5948 | 0.56 (0.14–2.32) |
| Height | 0.5436 | 1.01 (0.97–1.06) |
| Weight | 0.1509 | 1.04 (0.98–1.11) |
| BMI | 0.1413 | 1.10 (0.97–1.24) |
| Heartrate | 0.3455 | 0.99 (0.98–1.01) |
| Oxygen saturation | 0.9967 | 1.00 (0.92–1.08) |
| Lamp use | 0.2778 | 0.83 (0.59–1.16) |
| Writing posture | 0.0040 | 1.58 (1.16–2.15) |
| Sleep habits | 0.9422 | 1.04 (0.32–3.40) |
| Pregnancy history | 0.6757 | 1.20 (0.51–2.83) |
| Fruits intake | 0.8290 | 1.07 (0.58–1.96) |
| Vegetables intake | 0.7230 | 1.12 (0.61–2.04) |
Fig. 3Distribution of the cycloplegic SE of esotropia and exotropia students (right eyes)
Prevalence of strabismus in previous Chinese studies
| Author | Year | Area | Samples | Age/years | Prevalence/% | Exo:Eso |
|---|---|---|---|---|---|---|
| Zhu H | 2019 | Yunnan | 1656 | 7–8 | 1.50 | 10.6:1 |
| 1394 | 13–14 | 2.44 | ||||
| Pan CW | 2017 | Yunnan | 3122 | 6–8 | 2.47 | |
| 4305 | 9–11 | 3.69 | 9.4:1 | |||
| 1836 | 12–14 | 4.96 | ||||
| Pan CW | 2016 | Nanjing | 5831 | 3–6 | 5.8 | / |
| Chen X | 2016 | Nanjing | 5884 | 3–6 | 5.65 | 6:1 |
| Fu J | 2014 | Anyang | 3112 | 7–8 | 2.73 | 6:1 |
| 2362 | 12–13 | 5.02 | 51:1 | |||
| Pi LH | 2012 | Chongqing | 3079 | 6–15 | 0.29 | 1.7:1 |
| Lu P | 2008 | Qinghai | 1084 | 6–14 | 2.49 | 5.7:1 |
| He M | 2007 | Yangxi | 2454 | 13–17 | 1.63 | 3.5:1 |
| He M | 2004 | Guangzhou | 4364 | 5–15 | 1.9 | 4:1 |
| Zhao J | 2000 | Shunyi | 5884 | 5–15 | 2.8 | / |