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. 2022 Aug 19;10:983095. doi: 10.3389/fpubh.2022.983095

Table 2.

Demographic characteristics of participants and associated factors with scoliosis by univariate logistic regression analysis.

Variable Scoliosis Non-scoliosis Prevalence % a P OR 95% CI b P
Age 12.16 ± 2.67 12.63 ± 2.99 0.004 0.950 0.917–0.983 0.004
Gender <0.001
Male 107 (29.40%) 4,969 (52.35%) 2.11 Ref
Female 257 (70.60%) 4,523 (47.65%) 5.38 2.639 2.099–3.318 <0.001
BMI <0.001
≥18.5 98 (26.92%) 4,507 (47.48%) 2.13 Ref
<18.5 266 (73.08%) 4,985 (52.52%) 5.07 2.454 1.940–3.104 <0.001
Family children 0.092
0 72 (19.78%) 2,278 (24.00%) 3.06 Ref
1–2 282 (77.47%) 6,863 (72.30%) 3.95 1.300 0.999–1.691 0.051
≥3 10 (2.75%) 351 (3.70%) 2.77 0.901 0.461–1.763 0.762
Altitudes of residence 0.001
<4,500 m 314 (86.26%) 8,654 (91.17%) 3.50 Ref
≥4,500 m 50 (13.74%) 838 (8.83%) 5.63 1.644 1.210–2.235 0.001
Annual household income <0.001
≥3,000 $ 3 (0.82%) 429 (4.52%) 0.69 Ref
2,000–3,000 $ 69 (18.96%) 2,893 (30.48%) 2.33 3.411 1.069–10.884 0.038
<2,000 $ 292 (80.22%) 6,170 (65.00%) 4.52 6.678 2.161–21.194 0.001
Location of residence <0.001
Urban 271 (74.45%) 8,079 (85.11%) 3.25 Ref
Rural 93 (25.55%) 1,413 (14.89%) 6.18 1.962 1.540–2.500 <0.001
Appetite <0.001
Good 213 (58.52%) 7,179 (75.63%) 2.88 Ref
General 87 (23.90%) 1,598 (16.83%) 5.16 1.835 1.422–2.368 <0.001
Bad 64 (17.58%) 715 (7.53%) 8.22 3.017 2.258–4.031 <0.001
Myopia 0.002
No 180 (49.45%) 4,167 (43.90%) 4.14 Ref
Unclear 134 (36.81%) 3,310 (34.87%) 3.89 0.937 0.746–1.177 0.577
Yes 50 (13.74%) 2,015 (21.23%) 2.42 0.574 0.418–0.789 0.001
Sleep time <0.001
≥8 h 284 (78.02%) 8,350 (87.97%) 3.29 Ref
<8 h 80 (21.98%) 1,142 (12.03%) 6.55 2.060 1.595–2.660 0.040
Daily exercise time 0.057
≥1 h 328 (90.11%) 8,805 (92.76%) 3.59 Ref
<1 h 36 (9.89%) 687 (7.24%) 4.98 1.407 0.989–2.002 0.058
Cognition of scoliosis <0.001
Known 10 (2.75%) 750 (7.90%) 1.32 Ref
Have heard 90 (24.73%) 2,539 (26.75%) 3.42 2.659 1.376–5.135 0.004
Never known 264 (72.53%) 6,203 (65.35%) 4.08 3.192 1.690–6.029 <0.001

aIndicates the results of chi-squared test; bindicates the results of univariate logistic regression analysis.