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Table 1 Sociodemographic and behavioral characteristics of cannabidiol users (n = 1166) and logistic regressions of cannabidiol users’ expected effects as outcomes in those who declared “well-being” to be the primary reason for using cannabidiol (n = 311)

From: Reasons for using cannabidiol: a cross-sectional study of French cannabidiol users

Variable Whole sample (n = 1166), N (%) Users declaring well-being as the primary reason for cannabidiol use (n = 311), N (%) Improved sleep (n = 306) Reduced anxiety/depression (n = 306) Increased concentration (n = 290) Headache relief (n = 308)
aOR 95% CI p-value aOR 95% CI p-value aOR 95% CI p-value aOR 95% CI p-value
Sex
 Male 799 (69.5) 218 (71.2)         
 Female 351 (30.5) 88 (28.8)         
Age (years) 36 [28–44] 36 [29–42]        0.96 [0.93–0.99] 0.011
Smoking tobacco cigarettes in the previous 30 days
 No 442 (38.4) 130 (42.2)        1   
 Yes 631 (54.8) 143 (46.4)        0.48 [0.26–0.89] 0.021
 Smoking mainly e-cigarettes 79 (6.9) 35 (11.4)        0.52 [0.18–1.46] 0.215
Alcohol consumption in the previous 30 days
 No 346 (30.2) 88 (28.8)      1     
 Yes 799 (69.8) 218 (71.2)      0.49 [0.26–0.91] 0.025   
Illegal cannabis use in the previous 30 days
 No      1    1     
 Yes      0.44 [0.27–0.72] 0.001 1.99 [1.09–3.63] 0.026   
Education level higher than a secondary school diploma
 No 371 (33.1) 92 (30.9)      1     
 Yes 749 (66.9) 206 (69.1)      2.6 [1.24–5.43] 0.011   
Employment situation
 Active employment 820 (70.8) 234 (75.5)         
 Not in active employment 339 (29.2) 76 (24.5)         
Self-reported income levela
 Below average 381 (32.7) 72 (23.2) 1    1       
 Average 545 (46.7) 137 (44.1) 0.75 [0.44–1.30] 0.307 0.42 [0.24–0.73] 0.002     
 Above average 240 (20.6) 102 (32.8) 0.53 [0.28–0.99] 0.049 0.37 [0.19–0.7] 0.003     
Body mass indexb
 < 25 757 (65.6) 223 (72.9) 1         
 ≥ 25 397 (34.4) 83 (27.1) 1.8 [1.07–3.01] 0.026       
  1. aIncome level was self-reported as subjectively assessed as compared to an “average level” estimated by the participants
  2. bBody mass index was calculated as the body weight (in kg) divided by the squared height (in m). A body mass index over 25 kg/m2 denotes overweight or obesity