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Table 2 Prevalence of substance use during lifetime and its demographic correlatesa

From: Prevalence and correlates of substance use among health care students in Nepal: a cross sectional study

Demographic variables Illegal drug use n (%) Illegal use of prescription drug n (%)
Total (N = 407) 36 (8.8) 157 (38.6)
Age group (years)
 16–20 (n = 143) 12 (8.4) 56 (39.2)
 21–25 (n = 215) 18 (8.4) 84 (39.1)
  > 25 (n = 49) 6 (12.2) 17 (34.7)
  P = 0.67 P = 0.83
Sex
 Female (n = 253) 6 (2.4) 105 (41.5)
 Male(n = 154) 30 (19.5) 52 (33.8)
  P < 0.01 (χ2 = 34.75) P = 0.08
Faculty
 Pharmacy (n = 154) 22 (14.3) 53 (34.4)
 Nursing (n = 159) 3 (1.9) 73 (45.9)
 Public Health (n = 94) 11 (11.7) 31 (33.0)
P < 0.01 (χ2 = 16.15) P = 0.05 (χ2 = 5.97)
Active participation in religion
 Yes (n = 255) 15 (5.9) 93 (36.5)
 No (n = 152) 21 (13.8) 64 (42.1)
  P < 0.01 (χ2 = 7.43) P = 0.23
Family history of alcohol abuse problem
 Yes (n = 84) 9 (10.7) 32 (38.1)
 No (n = 323) 27 (8.4) 125 (38.7)
  P = 0.49 P = 0.76
Family history of drug abuse problem
 Yes (n = 24) 4 (16.7) 6 (25.0)
 No (n = 383) 32 (8.4) 151 (39.4)
  P = 0.16 P = 0.14
Offer of alcohol by friends
 Yes (n = 187) 33 (17.6) 76 (40.6)
 No (n = 220) 3 (1.4) 81 (36.8)
  P < 0.01 (χ2 = 33.24) P = 0.54
Offer of alcohol by pharmaceutical company
 Yes (n = 62) 10 (16.1) 27 (43.5)
 No (n = 345) 26 (7.5) 130 (37.7)
  P = 0.02 (χ2 = 4.81) P = 0.28
Offer of drugs by friends
 Yes (n = 24) 7 (29.2) 12 (50.0)
 No (n = 383) 29 (7.6) 145 (37.9)
  P < 0.01 (χ2 = 13.06) P = 0.25
Experience of working with coworker or colleague who accepted self-medication with psychoactive drug
 Yes (n = 43) 9 (20.9) 21 (48.8)
 No (n = 364) 27 (7.4) 136 (37.4)
  P < 0.01 (χ2 = 8.70) P = 0.16
Five or more drink at one time in one occasion during lifetime   
 Yes (n = 106) 26 (24.5) 53 (50.0)
 No (n = 301) 10 (3.3) 104 (34.6)
  P < 0.01 (χ2 = 43.72) P < 0.01 (χ2 = 7.89)
Cigarette smoking during lifetime
 Yes (n = 88) 29 (33.0) 44 (50.0)
 No (n = 319) 7 (2.2) 113 (35.4)
  P < 0.01 (χ2 = 80.94) P = 0.01 (χ2 = 6.18)
  1. aChi-square test was used to show differences in the prevalence among groups classified based on demographic variables. Fisher’s exact test was used if any cells had an expected count less than 5