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. 2021 Aug 10;21(1):562–574. doi: 10.1007/s11469-021-00611-1

Table 3.

Final logistic regression models showing sociodemographic characteristics associated with psychological distress (backward elimination approach)

aOR (95% CI) p value
Depressiona
Body mass index
Underweight 2.62 (1.32–5.20) 0.006
Overweight/obese 1.65 (1.08–2.54) 0.022
NormalR 1
Comorbidity
Present 2.25 (1.35–3.75) 0.002
AbsentR 1
Soft drink consumption
 > Once/week 1.90 (1.17–3.07) 0.009
 ≤ Once/weekR 1
Anxietyb
Age (years)
 ≤ 20 1.52 (1.04–2.22) 0.029
 > 20R 1
Body mass index
Underweight 2.07 (1.08–3.96) 0.029
Overweight/obese 1.02 (0.68–1.54) 0.913
NormalR 1
Comorbidity
Present 2.89 (1.76–4.72) 0.000
AbsentR 1
Soft drink consumption
 > Once/week 1.79 (1.11–2.89) 0.016
 ≤ Once/weekR 1
Screen time/day
 ≥ 12 h 1.85 (1.03–3.33) 0.040
6–12 h 1.32 (0.77–2.27) 0.310
 < 6 hoursR 1
Stressc
Body mass index
Underweight 3.11 (1.28–7.54) 0.012
Overweight/obese 1.70 (0.88–3.28) 0.111
NormalR 1
Soft drink consumption
 > Once/week 2.29 (1.23–4.27) 0.009
 ≤ Once/weekR 1
Any mental health outcomed
Age (years)
 ≤ 20 1.42 (1.01–2.02) 0.047
 > 20 R 1
Body mass index
Underweight 2.02 (1.07–3.80) 0.030
Overweight/Obese 1.41 (0.96–2.06) 0.076
NormalR 1
Comorbidity
Present 2.75 (1.69–4.46) 0.000
AbsentR 1
Soft drink consumption
 > Once/week 1.74 (1.10–2.74) 0.018
 ≤ Once/weekR 1
 Screen time/day
  ≥ 12 h 1.77 (1.03–3.03) 0.038
  6–12 h 1.28 (0.78–2.08) 0.326
  < 6 hoursR 1

Classification tables report that 73.3%, 73.6%, 90.3%, 66.0% of the cases can be expected to be classified correctly by the models respectively

aOR adjusted odds ratio, CI confidence interval, R reference category

aModel χ2 statistic = 37.755 (p < 0.001), Hosmer–Lemeshow p value = 0.414

bModel χ2 statistic = 38.209 (p < 0.001), Hosmer–Lemeshow p value = 0.486

cModel χ2 statistic = 13.221 (p = 0.004), Hosmer–Lemeshow p value = 0.332

dModel χ2 statistic = 38.642 (p < 0.001), Hosmer–Lemeshow p value = 0.963 show that the models fit and support the existence of the relationship between the independent variables and dependent variables