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Table 2 Correlations between musculoskeletal symptoms, MSD predictive biological markers, and smartphone addiction scores in university students

From: Smartphone addiction and musculoskeletal associated disorders in university students: biomechanical measures and questionnaire survey analysis

Parameters

Not addicted (36%; n = 90) SAS (18.6–36.1; 1–3 h./day)

Addicted (64%; n = 160) SAS (158.8–175.4; ≥ 3 h./day)

ORcrude (95% CI)*

ORadjusted (95% CI)#

ORcrude (95% CI)*

ORadjusted (95% CI)#

BMI

0.123 (0.10–0.156)a

0.13 (0.12–0.164)a

0.245 (0.196–0.350)b

0.250 (0.210–0.358)b

NDI score

0.214 (0.153–0.315)a

0.218 (0.165–0.320)a

0.316 (0.182–0.464)c

0.320 (0.197–0.480)c

CHDQ score

0.238 (0.213–0.321)a

0.245 (0.221–0.365)a

0.259 (0.152–0.364)c

0.265 (0.158–0.390)c

VAS pain score

0.234 (0.211–0.290)a

0.240 (0.235–0.310)a

0.357(0.312–0.420)c

0.365 (0.320–0.470)c

TIMP-1 (ng/mL)

0.231 (0.193–0.285)a

0.239 (0.198–0.289)a

0.258 (0.212–0.324)c

0.285 (0.225–0.332)c

TIMP-2 (ng/mL)

0.123 (0.108–0.215)a

0.135 (0.120–0.230)a

0.458 (0.312–0.584)c

0.462 (0.321–0.595)c

5-HT (serotonin; ng/ml)

0.223 (0.213–0.392)a

0.250 (0.236–0.410)a

0.289 (0.242–0.364)c

0.292 (0.252–0.386)c

TG

0.145 (0.123–0.165)a

0.152 (0.135–0.172)a

0.147 (0.132–0.215)c

0.155 (0.138–0.235)c

MDA (μ mole/L)

0.378 (0.351–0.475)a

0.395 (0.354–0.512)a

0.365 (0.295–0.450)c

0.375 (0.310–0.462)c

TAC

0.148 (0.125–0.215)a

0.155 (0.137–0.238)a

0.315 (0.250–0.415)c

0.321 (0.262–0.425)c

  1. BMI: body mass index; MSD: musculoskeletal disorders; SAS: Smartphone addiction scale; NDI: Neck Disability Index; CHDQ: Cornell Hand Discomfort Questionnaire; VAS: Visual Analogue Scale; TIMP-1/TIMP-2: metallopeptidase inhibitor 1/2 (a tissue inhibitor of metalloproteinase); MDA: malondialdehyde; TAC: total antioxidant capacity; TG: triglycerides. 5-HT: 5-hydroxytryptamine (serotonin)
  2. ap < 0.05
  3. bp < 0.01
  4. cp < 0.001
  5. *Significant at the level 0.05 as analyzed by χ2 test
  6. #adjusted for all variables in table as measured by multiple logistic regression