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. Author manuscript; available in PMC: 2010 May 1.
Published in final edited form as: Int J Cancer. 2009 May 1;124(9):2082–2087. doi: 10.1002/ijc.24144

Table 1.

Baseline characteristics1 of participants by prostate cancer status and T. vaginalis antibody score in the Prostate Cancer Prevention Trial

Case-control status T. vaginalis antibody score2 (controls only)

Case (n=616) Control (n=616) P-value3 0 (n=368) 1 (n=154) ≥2 (n=94) P-value3
Mean age (years) 64.0 64.0 Matched 63.7 64.0 64.7 0.31
Finasteride (%) 48.9 48.9 Matched 48.6 47.4 52.1 0.76
First-degree relative with prostate cancer (%) 20.6 20.6 Matched 21.7 22.1 13.8 0.21
Race (%):
 White 90.4 78.9 80.4 79.2 72.3
 Black 6.2 10.2 N/A4 10.3 9.1 11.7 0.16
 Other race/ethnicity 3.4 10.9 9.2 11.7 16.0
Education (%):
 Some high school or less 5.3 4.3 4.6 4.6 4.3
 High school graduate 14.8 14.9 0.72 12.8 19.5 17.0 0.29
 Some post-secondary education or more 79.9 80.8 82.6 76.0 78.7
Occupation (%):
 Professional 65.4 63.8 61.1 65.6 68.1
 Craftsman 12.9 12.9 15.2 9.7 11.7
 Sales 9.5 8.8 0.73 10.6 5.2 6.4 0.15
 Farming 1.5 2.3 1.4 4.6 2.1
 Other 10.6 12.3 11.7 14.9 11.7
Military experience (%)5 25.9 28.3 0.14 30.1 30.0 29.3 0.98
Marital status (%):
 Currently married or in marriage-like relationship 88.9 90.3 89.7 92.9 86.2
 Divorced/widowed 8.8 7.3 0.63 7.9 5.2 10.6 0.90
 Never married 2.1 2.4 2.4 2.0 3.2
Mean height (inches) 69.9 69.7 0.39 69.7 69.8 69.6 0.80
Mean body mass index (kg/m2) 27.6 27.6 0.87 27.4 27.8 27.8 0.55
Mean intakes of:
 Energy (kcal/day) 2171.3 2140.7 0.53 2148.8 2148.4 2005.2 0.32
 Protein (g/day) 92.3 92.1 0.93 92.2 93.0 86.8 0.46
 Carbohydrate (g/day) 264.7 259.4 0.37 257.8 265.6 244.7 0.30
 Fat (g/day) 79.8 78.6 0.59 79.5 77.5 73.5 0.43
 Fruit consumption (fruit/day) 2.2 2.0 0.03 2.0 2.1 2.0 0.58
 Vegetable consumption (vegetables/day) 2.3 2.3 0.59 2.3 2.4 2.1 0.17
 Tomato products (1 cup servings/day) 0.48 0.47 0.81 0.46 0.46 0.40 0.06
 Red meat (6 oz servings/day) 0.60 0.63 0.27 0.62 0.67 0.57 0.18
 Processed meat (6 oz servings/day) 0.35 0.38 0.23 0.36 0.43 0.36 0.07
 Fish (6 oz servings/day) 0.23 0.21 0.19 0.20 0.23 0.20 0.42
 Calcium from food plus supplements (mg/day) 1073 1063 0.76 1067 1050 991 0.49
 Zinc from food plus supplements (mg/day) 25.5 25.4 0.93 26.0 23.7 25.1 0.52
 Total alcohol (g/day) 9.3 8.9 0.64 9.5 7.5 7.7 0.25
Cigarette smoking:
 Smoked regularly before 25 years of age (%) 61.7 63.8 0.44 62.0 68.2 66.0 0.37
 Currently smoke (%) 6.1 6.6 0.70 7.9 4.6 7.4 0.39
 Mean pack-years smoked 22.0 24.1 0.05 24.1 22.7 25.7 0.45
Physical activity (%):
 Sedentary 14.7 15.8 19.6 9.9 11.1
 Light activity 44.6 40.2 0.25 39.2 35.8 51.1 0.28
 Moderate activity 33.2 32.0 29.6 39.5 28.9
 Very active 7.5 12.0 11.6 14.8 8.9
Frequency of sexual activity in the past 4 weeks (%):
 Not at all 14.0 12.0 11.7 10.4 14.9
 Once 11.7 12.5 11.4 13.6 13.8
 2–3 times 23.4 24.3 0.46 22.8 28.6 22.3 0.84
 Once/week 30.9 27.7 29.1 28.6 21.3
 2–3 times/week 16.7 19.5 20.1 16.2 23.4
 ≥4 times/week 2.1 3.3 3.8 2.6 3.2
Vasectomy (%) 29.4 31.2 0.49 30.7 29.9 28.7 0.93
Mean age at vasectomy 38.7 37.5 0.11 37.4 38.0 38.6 0.71
History of diabetes mellitus type 2 (%) 6.2 7.1 0.54 9.2 3.2 8.5 0.06
Aspirin use on a regular basis (%):
 Current use 42.5 40.8 0.53 36.1 46.8 43.6 0.06
 Past use 8.1 8.6 0.76 7.9 8.4 13.8 0.19
1

Case and control values collected at baseline in 1994–7 or at the first annual visit were standardized by age, treatment arm, family history of prostate cancer and race (non-white versus white) using linear regression.

2

Scores were derived by first calculating the ratio of the average duplicate optical density value for each participant’s specimen to the average duplicate optical density value for the seronegative control included in each run, and then comparing this value to the corresponding values for the five seropositive controls with increasing positivity (1–5) also included in each run.

3

P-values were calculated by linear regression for continuous and binary variables, and by generalized logit models for categorical variables.

4

Black controls and controls of other race/ethnicity were over-sampled in the design of the study. All analyses are adjusted for race to take this feature of the design into account.

5

May underestimate the true prevalence of military experience in this population.