1. Numbers Prior to Screen-Outs

Figure 1.1. Total Sessions Completed Without Screen Outs (n = 157)

Figure 1.2. Session Portion Completion by RA

Screen-Out Rates


Cases: 15 of 127 (11.8%)

Ctrls: 15 of 30 (50%)

After Screenouts: 127 participants remain: 112 CASES and 15 CTRLS

Removals: IDs removed due to smoking/drug use

+ Smoking: 01-007, 01-010, 01-012 (3)
+ Cocaine on Urine Screen: 01-095 (1) - left in for now

After Removals: 124 participants remain: 109 CASES and 15 CTRLS


2. Sample Characteristics (n = 124)


2.1 General Demographics


Table 1. Participant demographics by group

Characteristic CASE
N = 1091		 CTRL
N = 151		 p-value2 Effect size
Age 36.72 (8.18) 32.33 (6.80) 0.033 0.584
Sex

0.146 0.112
    Male 36 (33%) 2 (13%)

    Female 73 (67%) 13 (87%)

Income

0.932 0.205
    Less than $15,000 10 (9%) 1 (7%)

    At least $15,000 but less than $30,000 16 (15%) 2 (13%)

    At least $30,000 but less than $45,000 19 (17%) 3 (20%)

    At least $45,000 but less than $60,000 13 (12%) 2 (13%)

    At least $60,000 but less than $75,000 11 (10%) 1 (7%)

    At least $75,000 but less than $90,000 9 (8%) 1 (7%)

    At least $90,000 but less than $105,000 7 (6%) 0 (0%)

    At least $105,000 but less than $120,000 4 (4%) 2 (13%)

    At least $120,000 but less than $135,000 6 (6%) 0 (0%)

    At least $135,000 but less than $150,000 5 (5%) 1 (7%)

    Greater than $150,000 9 (8%) 2 (13%)

Financial Status

0.469 0.145
    Not enough to pay some bills no matter how hard you try 17 (16%) 1 (7%)

    Enough to pay bills, but have had to cut back 43 (39%) 4 (27%)

    Enough to pay bills without cutting back but no extras 29 (27%) 6 (40%)

    Enough money for extras 20 (18%) 4 (27%)

Education Level

0.014 0.326
    Less than high school graduate 3 (3%) 0 (0%)

    Some college/university 19 (17%) 1 (7%)

    Associates degree completed 43 (39%) 1 (7%)

    Bachelors degree completed 12 (11%) 2 (13%)

    Masters degree completed 24 (22%) 9 (60%)

    Professional degree completed (e.g., MD, PhD, JD) 8 (7%) 2 (13%)

Ethnicity

0.497
    White/European 90 (83%) 13 (87%)

    Black/African 5 (5%) 0 (0%)

    East Asian 0 (0%) 1 (7%)

    South Asian 1 (1%) 0 (0%)

    Southeast Asian 1 (1%) 0 (0%)

    Middle Eastern/West Asian 2 (2%) 0 (0%)

    First Nations/Inuit/Metis 3 (3%) 0 (0%)

    Pacific Islander 0 (0%) 0 (0%)

    More Than One 3 (3%) 0 (0%)

    Other 4 (4%) 1 (7%)

CUD Status

0.000 0.805
    Absent 5 (5%) 14 (93%)

    Mild 26 (24%) 1 (7%)

    Moderate 31 (28%) 0 (0%)

    Severe 47 (43%) 0 (0%)

CUD Sxs 5.08 (2.25) 0.40 (0.83) 0.000 2.76
Effect sizes: Cohen's d for continuous variables, Cramér's V for categorical variables
1 Mean (SD); n (%)
2 Welch Two Sample t-test; Fisher’s exact test


Table 2. Participant demographics by sex


Characteristic Male
N = 381		 Female
N = 861		 p-value2 Effect size
Group

0.146 0.112
    CASE 36.0 (94.7%) 73.0 (84.9%)

    CTRL 2.0 (5.3%) 13.0 (15.1%)

Age 37.84 (8.40) 35.47 (7.95) 0.145 0.291
Income

0.954 0.185
    Less than $15,000 4.0 (10.5%) 7.0 (8.1%)

    At least $15,000 but less than $30,000 6.0 (15.8%) 12.0 (14.0%)

    At least $30,000 but less than $45,000 6.0 (15.8%) 16.0 (18.6%)

    At least $45,000 but less than $60,000 4.0 (10.5%) 11.0 (12.8%)

    At least $60,000 but less than $75,000 3.0 (7.9%) 9.0 (10.5%)

    At least $75,000 but less than $90,000 3.0 (7.9%) 7.0 (8.1%)

    At least $90,000 but less than $105,000 4.0 (10.5%) 3.0 (3.5%)

    At least $105,000 but less than $120,000 1.0 (2.6%) 5.0 (5.8%)

    At least $120,000 but less than $135,000 2.0 (5.3%) 4.0 (4.7%)

    At least $135,000 but less than $150,000 1.0 (2.6%) 5.0 (5.8%)

    Greater than $150,000 4.0 (10.5%) 7.0 (8.1%)

Financial Status

0.106 0.223
    Not enough to pay some bills no matter how hard you try 3.0 (7.9%) 15.0 (17.4%)

    Enough to pay bills, but have had to cut back 19.0 (50.0%) 28.0 (32.6%)

    Enough to pay bills without cutting back but no extras 7.0 (18.4%) 28.0 (32.6%)

    Enough money for extras 9.0 (23.7%) 15.0 (17.4%)

Education Level

0.026 0.325
    Less than high school graduate 2.0 (5.3%) 1.0 (1.2%)

    Some college/university 12.0 (31.6%) 8.0 (9.3%)

    Associates degree completed 12.0 (31.6%) 32.0 (37.2%)

    Bachelors degree completed 2.0 (5.3%) 12.0 (14.0%)

    Masters degree completed 8.0 (21.1%) 25.0 (29.1%)

    Professional degree completed (e.g., MD, PhD, JD) 2.0 (5.3%) 8.0 (9.3%)

Ethnicity

0.541
    White/European 31.0 (81.6%) 72.0 (83.7%)

    Black/African 2.0 (5.3%) 3.0 (3.5%)

    East Asian 0.0 (0.0%) 1.0 (1.2%)

    South Asian 1.0 (2.6%) 0.0 (0.0%)

    Southeast Asian 1.0 (2.6%) 0.0 (0.0%)

    Middle Eastern/West Asian 0.0 (0.0%) 2.0 (2.3%)

    First Nations/Inuit/Metis 0.0 (0.0%) 3.0 (3.5%)

    Pacific Islander 0.0 (0.0%) 0.0 (0.0%)

    More Than One 1.0 (2.6%) 2.0 (2.3%)

    Other 2.0 (5.3%) 3.0 (3.5%)

CUD Status

0.438 0.150
    Absent 3.0 (7.9%) 16.0 (18.6%)

    Mild 10.0 (26.3%) 17.0 (19.8%)

    Moderate 9.0 (23.7%) 22.0 (25.6%)

    Severe 16.0 (42.1%) 31.0 (36.0%)

CUD Sxs 4.97 (2.66) 4.31 (2.60) 0.204 0.251
Effect sizes: Cohen's d for continuous variables, Cramér's V for categorical variables
1 n (%); Mean (SD)
2 Fisher’s exact test; Welch Two Sample t-test

2.2 Cannabis Use


Table 3. Cannabis Use by Group

Characteristic CASE
N = 1091		 CTRL
N = 151		 Difference2 95% CI2 p-value2
Cannabis Years 13.71 (8.87), 2.00, 39.00 5.47 (4.00), 0.00, 11.00 8.2 5.5, 11 <0.001
Grams/Week 10.95 (9.22), 0.73, 59.50 0.16 (0.12), 0.00, 0.38 11 9.0, 13 <0.001
    (Missing) 1 0


Mean THC Content 25.62 (5.31), 0.28, 38.00 23.80 (9.71), 0.00, 40.00 1.8 -4.1, 7.8 0.5
    (Missing) 7 2


Gram Years 25.30 (28.67), 0.90, 145.00 1.81 (1.62), 0.00, 5.50 23 18, 29 <0.001
Abbreviation: CI = Confidence Interval
1 Mean (SD), Min, Max
2 Welch Two Sample t-test

3. Respiratory Health Measures (n = 124)


Figure 3. FeNO by group

Note. 15 missing due sensor
Figure 4. Expired CO by group

Figure 5. FEV1 by group

Figure 6. FVC by group

Figure 7. R5 by group

Figure 8. R5-20 by group