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Of the 7021 women, six had data missing on key variables (for example, date of birth, date of questionnaires, gene mutation) and were excluded, leaving 7015 women in the final analysis.
Of 5149 women, 60 women had data missing on key variables (e.g., date of birth, date of questionnaires, gene mutation) and were excluded, leaving 5089 women in final analysis.
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Most of the included participants (94.0%) also gave the date of questionnaire completion (Table S1).
First, prevalence of symptoms was calculated by mailing round (defined by date of questionnaire completion).
We calculated relative risks (RR), equivalent to hazard ratios, and 95% confidence intervals (CI) from age– and multivariable adjusted proportional hazards analyses, with time on study defined as the difference between the date of questionnaire return and the participant's exit date.
Subjects were considered to have entered the study at date of questionnaire and were followed until the earliest occurrence of any of these events: prostate cancer diagnosis, radical prostatectomy, a >90 day gap in Kaiser Permanente membership, death, or the end of the study period (June 30 , 2006.
To investigate possible detection bias due to prostate cancer screening by PSA testing, we compared associations between prostatitis, STDs, and prostate cancer among men having no PSA tests, 1 or 2 PSA tests, and 3 or more PSA tests, from the date of questionnaire to the end of follow-up based on laboratory records of PSA testing.
The date of questionnaire completion was also recorded.
Age was calculated as months from the reported birth date to date of questionnaire return.
Date of questionnaire completion was unknown or implausible for 108 controls.
Distance to major road was assigned at birth address and address by date of questionnaire.
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