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. 2018 Sep 21;8(9):e021845. doi: 10.1136/bmjopen-2018-021845

Table 3.

Final model of hierarchical logistic regression to estimate risks of both sociodemographic and life-style variables for PARI among university students in China

Characteristics P value Adjusted OR 95% CI
Block 1
 City
   Jinan 1 (ref.)
   Shantou 0.000 4.239 3.475 to 5.171
   Hong Kong 0.468 0.913 0.713 to 1.168
 Study year
   Year 1 0.039 1.287 1.099 to 1.515
   Year 2 0. 883 1.014 0.846 to 1.215
   Year 3 1 (ref.)
 Gender
   Male 0.028 1.199 1.020 to 1.410
   Female 1 (ref.)
 University sports team member
  No 1 (ref.)
  Yes 0.000 2.360 1.881 to 2.961
 Other sports team member
  No 1 (ref.)
  Yes 0.000 1.717 1.309 to 2.253
 Any chronic disease/symptom
  No 1 (ref.)
  Yes 0.013 1.548 1.096 to 2.187
Block 2
  Sports and leisure-time VPA, frequency (day/week) 0.010 1.079 1.018 to 1.144
  Sports and leisure-time VPA, duration (min/day) 0.000 1.006 1.003 to 1.008
  Sports and leisure-time MPA, duration (min/day) 0.000 1.004 1.002 to 1.006
 Sleep duration
  7.00–7.99 hours/day 1 (ref.)
  <6.00 hours/day 0.045 1.333 1.006 to 1.766
  6.00–6.99 hours/day 0.014 1.262 1.048 to 1.519
  8.00–8.99 hours/day 0.314 1.111 0.905 to 1.365
  ≥9.00 hours/day 0.692 1.061 0.791 to 1.425

MPA, moderate-intensity physical activity; PARI, physical activity -related injury; VPA, vigorous-intensity physical activity.