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Table 3 Motivations for cannabis use among 214 Internet survey respondents in multivariate logistic regression models

From: Cannabis as entheogen: survey and interview data on the spiritual use of cannabis

 

Adventure

Curiosity

Insight and understanding for personal growth

Psychological self-exploration

To cure or heal personal problems

B

SE

p

B

SE

p

B

SE

p

B

SE

p

B

SE

P

Intercept

-5.69

2.99

 

-1.17

2.89

 

-13.96

3.31

***

-3.49

2.80

 

-.63

3.00

 

Age

-.23

.19

 

.03

.18

 

-.24

.18

 

-.25

.17

 

-.34

.20

 

Gender (M)

-.11

.52

 

.00

.51

 

-.34

.47

 

-.22

.48

 

-.62

.49

 

Education

-.03

.16

 

.05

.16

 

.48

.18

**

.06

.16

 

-.14

.16

 

Extraversion

-.15

.13

 

.00

.14

 

.04

.13

 

-.11

.12

 

.04

.13

 

Conscientiousness

.09

.16

 

.08

.16

 

.22

.15

 

.06

.15

 

.07

.15

 

Openness

.26

.22

 

.11

.22

 

.49

.22

*

.29

.20

 

.24

.22

 

Agreeableness

.35

.15

*

.01

.15

 

.17

.15

 

.26

.14

 

.02

.16

 

Emotional stability

.41

.16

**

.27

.15

 

.14

.14

 

-.02

.14

 

-.36

.15

*

Risk taking

.01

.03

 

.03

.03

 

.03

.03

 

.02

.02

 

.04

.03

 

Alcohol use

.20

.17

 

.02

.17

 

.25

.17

 

.00

.16

 

-.07

.17

 

Amphetamine use

-.08

.19

 

-.47

.18

*

-.23

.20

 

-.14

.18

 

-.07

.20

 

Cigarette/tobacco use

-.10

.12

 

.17

.12

 

.15

.12

 

-.01

.11

 

.00

.11

 

Cocaine use

.17

.41

 

-.16

.41

 

.65

.42

 

-.17

.41

 

.01

.40

 

Opiate use

-.19

.20

 

-.19

.22

 

.09

.20

 

.24

.21

 

-.23

.20

 

Psychedelics use 12 months

-.12

.10

 

-.09

.10

 

-.06

.10

 

-.04

.10

 

.06

.10

 

Years of cannabis experience

.01

.18

 

-.35

.18

*

.23

.18

 

.02

.16

 

.05

.19

 

Cannabis use 12 months

.00

.07

 

.06

.07

 

.17

.07

*

.02

.07

 

.14

.08

 

Spiritual motivation

2.49

.43

***

1.32

.41

***

2.37

.44

***

2.56

.42

***

1.30

.41

***

  1. Note: N = 214. Results from multivariate logistic regression models. Each model contains 18 independent variables: age, gender (coded as male = 1), education (quantified from 1 = “Have not completed high school” to 6 = “PhD”), the Big Five personality traits, the overall Risk Taking score (RTI), five variables for current drug use (quantified from 1 = “Daily” to 5 = “Never”), two variables for the number of use occasions for psychedelics and cannabis over the last 12 months, a variable for the number of years of cannabis experience (quantified from 1 = “Less than a year” to 5 = “10+ years”),and a dichotomous variable for spiritual motivation. Results from five models are shown, one for each of five dependent variables: adventure (model Nagelkerke R-square = .41), curiosity (model Nagelkerke R-square = .21), personal growth (model Nagelkerke R-square = .44), self-exploration (model Nagelkerke R-square = .38), and healing personal problems (model Nagelkerke R-square = .27). Values in bold represent statistically significant associations. B = unstandardized regression coefficient, SE = standard error, * p < = .05, ** p < = .01, *** p < = .001