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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