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. 2020 Apr 6;35(7):1979–1986. doi: 10.1007/s11606-020-05800-7

Table 1.

Demographics of Respondents Reporting Use of Marijuana for Medical Reasons Compared with NSDUH Respondents Who Used Marijuana in the Past Year

Characteristic 2017 KPMM users in past year (n = 591)* 2017 NSDUH (n = 42,554)
Age
  18–34 years 154 (38) 22,626 (53)
  35–49 years 147 (29) 11,214 (26)
  50–64 years 178 (23) 4997 (12)
  ≥ 65 years 112 (10) 3717 (9)
Gender
  Male 287 (52) 19,987 (47)
  Female 304 (48) 22,567 (53)
Race
  White 436 (61) 25,870 (61)
  Black 43 (14) 5230 (12)
  Hispanic 71 (19) 7168 (17)
  Other 41 (6) 4286 (10)
Highest education level
  High school diploma or less 199 (52) 16,664 (39)
  Some college 210 (28) 14,288 (34)
  Bachelor’s degree or higher 182 (20) 11,602 (27)
Employment status
  Working 338 (58) 28,966 (68)
  Not working 253 (42) 13,588 (32)
Household income
  < $20,000 140 (23) 8370 (20)
  $20,000–$49,999 170 (28) 13,321 (31)
  $50,000–$74,999 106 (18) 6704 (16)
  ≥ $75,000 175 (31) 14,159 (33)
Legalization status in state of residence at time of survey
  Legal (medical or recreational) 460 (73)
  Non-legal 131 (28)
Doctor awareness and attitudes towards marijuana use
  Does not have a doctor 92 (21)
  Doctor not aware of use 165 (26)
  Doctor is aware and is neutral 148 (22)
  Doctor is aware and supportive 150 (25)
  Doctor is aware and not supportive 33 (6)
Medical marijuana use
  Both medical and recreational 440 (77)
  Only medical 151 (23)
Reasons for use
  Anxiety 228 (49)
  Insomnia 275 (47)
  Chronic pain 272 (42)
  Depression 224 (39)
  Mood 180 (32)
  Arthritis 161 (23)
  Migraines 121 (21)
  PTSD 87 (15)
  Cancer symptoms 34 (5)
  Libido 28 (6)
  Glaucoma 24 (4)
  Seizures/epilepsy 16 (3)
  Multiple sclerosis 10 (2)
  HIV/AIDS 4 (1)

*Numbers are unweighted, and percentages are weighted to approximate the US population. KPMM KnowledgePanel users of medical marijuana, NSDUH National Survey on Drug Use and Health. We used weights provided by GfK to approximate the US population based on sociodemographic factors (e.g., age, gender, race, ethnicity, education, household income, home ownership, and metropolitan area)