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Table 1 Participant characteristics and postoperative opioid use

From: Effect of short-term prescription opioids on DNA methylation of the OPRM1 promoter

Variablesa

 

Sex

 Female

19

 Male

14

Age (years)

33.61 ± 13.84

Self-reported race/ethnicity

 African-American

13

 Caucasian

13

 Otherb

7

Tobacco in the past 12 monthsc

 Yes

11

 No

22

Marijuana in the past 12 monthsc

 Yes

10

 No

23

Other disease diagnosisc

 Yes

17

 No

16

Prescribed opioid medication

 Hydrocodone 5 mg

19

 Oxycodone 5 mg

12

 Oxycodone 10 mg

1

 Oxycodone 5 mg and codeine 30 mg

1

Length of opioid use in days (mean ± sd)

6 ± 4

MMEd(mean ± sd)

64.91 ± 48.88

  < 25 MME (< Q1)

10

 25–90 MME (Q1–Q3)

13

  ≥ 90 MME (≥ Q3)

10

Surgery to visit 2 in days (mean ± sd)

8.0 ± 4.1

Surgery to visit 3 in days (mean ± sd)

43.9 ± 10.9

Number of completed visits

 Three visits (v1, v2, and v3)

26 participants

 Two visits (v1 and v2)

5 participantse

 Two visits (v2 and v3)

1 participant

 Only v1

1 participant

  1. aMean and standard deviation (sd) for continuous variables and counts for categorical variables
  2. bOther = Hispanic/Latino, Asian, Middle-eastern, and Native American
  3. cSelf-reported data on other drug use and diagnosis of other diseases (diseases listed in Additional file 1: Table S1)
  4. dOpioid dose converted to morphine milligram equivalent (MME) according to medication type; Q1 is the first quartile (25%) and Q3 is the third quartile (75%)
  5. eMethylome data for one participant with v1 and v2 samples were excluded during the methylome data check (see the “Methods” section)