Journal List > J Korean Ophthalmol Soc > v.56(6) > 1010311

Rim, Park, Woo, and Kim: Factors Associated with Vision Screening in Children: The Korea National Health and Nutrition Examination Survey

Abstract

Purpose

To identify the factors associated with vision screening in children.

Methods

This study included 4,827 young children 3-11 years of age who answered the question “Has [name] ever had an eye examination (vision screening) in the past year?” from The Korea National Health and Nutrition Examination Survey 2008-2012 (KNHANES). The trained interviewer asked the questions to a member of the household familiar with the study participant. The factors related to vision screening were analyzed using multivariate logistic regression.

Results

The rate of vision screening gradually increased with age in young children between 3 (25.8%) and 11 years of age (72.5%). Regarding the rate by region, Busan had the highest rate (63.5%), followed by Daegu (62.2%) and Seoul (59.9%). Chungnam had the lowest rate (43.2%), followed by Chonbuk (44.6%) and Chonnam (44.9%). Higher income was associated with increased screening rate with marginal statistical significance (adjusted odds ratio [aOR]=1.5 for 3rd quartile, 95% con-fidential interval [CI], 1.0-2.4 versus 1st quartile as a reference group). Households with 5 or more members were less likely to receive vision screening compared to households with 1 child (aOR=0.6, 95% CI, 0.4-0.8).

Conclusions

The rate of vision screening differed according to age group (25.8-72.5%) and region (43.2- 63.5%). Regional dis-parity, low household income and large number of household members were barriers for vision screening in Korean children. J Korean Ophthalmol Soc 2015;56(6):944-949

References

1. Choi KW, Koo BS, Lee HY. Preschool vision screening in Korea: results in 2003. J Korean Ophthalmol Soc. 2006; 47:112–20.
2. Kim MS, Koo BS. Preschool vision screening for 3 to 6-year old children in Korea. J Korean Ophthalmol Soc. 2003; 44:971–81.
3. Hillis A, Flynn JT, Hawkins BS. The evolving concept of amblyopia: a challenge to epidemiologists. Am J Epidemiol. 1983; 118:192–205.
crossref
4. Williams C, Northstone K, Harrad RA, et al. Amblyopia treatment outcomes after preschool screening v school entry screening: observational data from a prospective cohort study. Br J Ophthalmol. 2003; 87:988–93.
crossref
5. Schmucker C, Grosselfinger R, Riemsma R, et al. Effectiveness of screening preschool children for amblyopia: a systematic review. BMC Ophthalmol. 2009; 9:3.
crossref
6. Kvarnström G, Jakobsson P, Lennerstrand G. Screening for visual and ocular disorders in children, evaluation of the system in Sweden. Acta Paediatr. 1998; 87:1173–9.
7. Mathers M, Keyes M, Wright M. A review of the evidence on the effectiveness of children's vision screening. Child Care Health Dev. 2010; 36:756–80.
crossref
8. Mema SC, McIntyre L, Musto R. Childhood vision screening in Canada: public health evidence and practice. Can J Public Health. 2012; 103:40–5.
crossref
9. Williams C, Northstone K, Harrad RA, et al. Amblyopia treatment outcomes after screening before or at age 3 years: follow up from randomised trial. BMJ. 2002; 324:1549.
crossref
10. Jewell G, Reeves B, Saffin K, Crofts B. The effectiveness of vision screening by school nurses in secondary school. Arch Dis Child. 1994; 70:14–8.
crossref
11. Lennerstrand G, Jakobsson P, Kvarnström G. Screening for ocular dysfunction in children: approaching a common program. Acta Ophthalmol Scand Suppl. 1995; (214):26–38. discussion 39-40.
crossref
12. Hudak DT, Magoon EH. Poverty predicts amblyopia treatment failure. J AAPOS. 1997; 1:214–5.
crossref
13. Eibschitz-Tsimhoni M, Friedman T, Naor J, et al. Early screening for amblyogenic risk factors lowers the prevalence and severity of amblyopia. J AAPOS. 2000; 4:194–9.
crossref
14. Neubauer AS, Neubauer S. Cost-effectiveness of screening for amblyopia. Klin Monbl Augenheilkd. 2005; 222:110–6.
15. Webber AL, Wood JM, Gole GA, Brown B. The effect of amblyopia on fine motor skills in children. Invest Ophthalmol Vis Sci. 2008; 49:594–603.
crossref
16. Hrisos S, Clarke MP, Kelly T, et al. Unilateral visual impairment and neurodevelopmental performance in preschool children. Br J Ophthalmol. 2006; 90:836–8.
crossref
17. Stifter E, Burggasser G, Hirmann E, et al. Monocular and binocular reading performance in children with microstrabismic amblyopia. Br J Ophthalmol. 2005; 89:1324–9.
crossref

Table 1.
Vision screening rate by age in children (n=4,827)
Age Vision screening/total Crude (%) Percentage (95% CI)
3 123/468 26.3 25.8 (21.1-30.6)
4 161/498 32.3 32.2 (27.1-37.3)
5 199/532 37.4 37.8 (32.5-43.1)
6 201/499 40.3 39.5 (34.1-45.0)
7 360/554 65.0 64.5 (59.7-69.3)
8 372/583 63.8 64.8 (59.9-69.7)
9 377/544 69.3 69.2 (64.5-73.9)
10 431/579 74.4 72.5 (67.7-77.3)
11
415/570
72.8
72.5 (68.1-76.9)
Overall 2,639/4,827 54.7 55.4 (53.3-57.4)

CI= confidence interval.

Table 2.
Vision screening rate by region in children
Region* Vision screening/total Crude (%) Percentage (95% CI)
Busan 96/161 59.6 63.5 (56.8-69.8)
Daegu 111/171 64.9 62.2 (51.1-72.2)
Seoul 363/622 58.4 59.9 (55.4-64.3)
Ulsan 58/108 53.7 59.8 (49.0-69.7)
Incheon 125/217 57.6 59.6 (52.4-66.4)
Kyungnam 115/189 60.8 59.2 (50.2-67.6)
Kyungpook 115/193 59.6 58.7 (51.0-66.0)
Gyeonggi 503/910 55.3 55.4 (50.8-59.9)
Gangwon 43/81 53.1 53.9 (43.8-63.6)
Jeju 32/80 40.0 46.1 (36.3-56.3)
Gwangju 55/131 42.0 46.1 (33.6-59.1)
Daejeon 55/115 47.8 45.6 (33.3-58.5)
Chungbuk 37/90 41.1 45.4 (35.9-55.2)
Chonnam 73/152 48.0 44.9 (38.2-51.7)
Chonbuk 48/134 35.8 44.6 (33.0-56.8)
Chungnam 58/158 36.7 43.2 (35.3-51.4)

CI= confidence interval.

* Ordered by screening rate.

Table 3.
Characteristics of children (n=3,512)
Variables Vision screening (n, %)
Total (n, %)
No Yes
Age group of father      
  20-29 23 (1.4) 10 (0.5) 33 (0.9)
  30-39 942 (58.0) 809 (42.9) 1,751 (49.9)
  40-49 660 (40.6) 1,068 (56.6) 1,728 (49.2)
Age group of mother      
  20-29 107 (6.6) 39 (2.1) 146 (4.2)
  30-39 1,213 (74.7) 1,321 (70.0) 2,534 (72.2)
  40-49 305 (18.8) 527 (27.9) 832 (23.7)
Monthly house income      
  Lowest quartile 86 (5.3) 61 (3.3) 147 (4.2)
  2nd quartile 498 (30.9) 499 (26.6) 997 (28.6)
  3rd quartile 595 (36.9) 733 (39.1) 1,328 (38.1)
  Highest quartile 434 (26.9) 581 (31.0) 1,015 (29.1)
Number of household      
  3 129 (7.9) 179 (9.5) 308 (8.8)
  4 916 (56.4) 1,149 (60.9) 2,065 (58.8)
  ≥5 580 (35.7) 559 (29.6) 1,139 (32.4)
Basic livelihood security recipient      
  No 1,575 (96.9) 1,839 (97.5) 3,414 (97.2)
  Yes 50 (3.1) 47 (2.5) 97 (2.8)
Having occupation      
  Father or mother only 808 (56.9) 903 (54.3) 1,711 (55.5)
  Both 591 (41.6) 741 (44.6) 1,332 (43.2)
  Both are not having occupation 22 (1.6) 19 (1.1) 41 (1.3)
Education of father      
  Elementary school 25 (1.7) 21 (1.2) 23 (0.7)
  Middle school 48 (3.3) 53 (3.1) 79 (2.3)
  High school 576 (39.0) 644 (37.7) 1,626 (47.5)
  University or higher 827 (56.0) 990 (58.0) 1,699 (49.6)
Education of mother      
  Elementary school 17 (1.1) 6 (0.3) 46 (1.4)
  Middle school 40 (2.5) 39 (2.1) 101 (3.2)
  High school 736 (46.6) 890 (48.2) 1,220 (38.3)
  University or higher 788 (49.8) 911 (49.4) 1,817 (57.1)
Table 4.
Factors associated with vision screening in children- age- and region- adjusted logistic regression and multivariate logistic regression (n=3,512)
Sociodemographic factors Vision screening in children (3-11 years)
p-value
OR* Multivariate OR 95% CI
Age group of father        
  20-29 1.0 (ref) 1.0 (ref)    
  30-39 1.4 1.7 (0.6-4.8) 0.35
  40-49 1.5 2.0 (0.7-5.9) 0.19
Age group of mother        
  20-29 1.0 (ref) 1.0 (ref)    
  30-39 1.4 1.0 (0.6-1.6) 1.00
  40-49 1.4 0.9 (0.5-1.5) 0.66
Monthly house income        
  Lowest quartile 1.0 (ref) 1.0 (ref)    
  2nd quartile 1.6 1.5 (0.9-2.3) 0.09
  3rd quartile 1.9 1.5 (1.0-2.4) 0.05
  Highest quartile 1.9 1.5 (1.0-2.4) 0.08
Number of household member        
  3 1.0 (ref) 1.0 (ref)    
  4 0.8 0.8 (0.6-1.1) 0.18
  ≥5 0.6 0.6 (0.4-0.8) <0.05
Basic livelihood security recipient        
  No 1.0 (ref) 1.0 (ref)    
  Yes 0.8 1.2 (0.7-1.9) 0.55
Having occupation        
  Father or mother alone 1.0 (ref) 1.0 (ref)    
  Both 0.9 0.9 (0.8-1.1) 0.46
  Both are not having occupation 0.9 0.9 (0.4-1.8) 0.68
Education of father        
  Elementary school 1.0 (ref) 1.0 (ref)    
  Middle school 1.7 1.9 (0.9-4.3) 0.11
  High school 1.8 1.5 (0.7-3.0) 0.27
  University or higher 2.0 1.6 (0.8-3.2) 0.22
Education of mother        
  Elementary school 1.0 (ref) 1.0 (ref)    
  Middle school 2.3 2.1 (0.6-8.0) 0.25
  High school 2.9 2.6 (0.8-8.9) 0.13
  University or higher 3.3 2.8 (0.8-9.8) 0.10

OR = odds ratio; CI = confidence interval; ref = reference.

* Age- and region- adjusted Odds ratio.

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