The BACH Survey (2002-05) used a stratified 2-stage cluster design to randomly sample Boston adults aged 30-79 for participation; 5506 agreed to participate. Follow-up surveys were conducted ∼5 years after baseline (BACH II, 2008). Data were obtained using interviewer and self-administered questionnaires. Lower urinary tract symptoms were assessed using validated questionnaires (the American Urological Association Symptom Index [1], Sandvik Incontinence Severity Scale [2], and Interstitial Cystitis Symptom Index [3]) and items written specifically for BACH. LUTS assessed included urgency urinary incontinence, stress urinary incontinence, and other urinary incontinence; urgency; daytime urinary frequency; nocturia; urinary hesitancy; intermittency; weak stream; straining to void; feeling of incomplete emptying; dysuria, pelvic pain, urethral pain, bladder pain; and urinary tract infections (UTIs). Female participants were also asked about ever and current contraceptive use, at baseline and follow-up.
This analysis included all female participants <40 years of age at baseline. LUTS were grouped into the following categories for analysis: urinary incontinence (urgency, stress, and other urinary incontinence), other storage symptoms (urgency, daytime frequency, nocturia), voiding/bladder emptying symptoms (urinary hesitancy, intermittency, weak stream, straining to void, feeling of incomplete emptying), and lower tract pain (dysuria, pelvic pain, urethral pain, bladder pain). Recurrent UTIs were defined as three or more UTIs in the past 12 months. UTIs in the past six months were not assessed. Associations between hormonal contraception and LUTS prevalence were estimated by prevalence ratios (PRs) in the full study population and those between hormonal contraception and LUTS incidence were estimated by relative risks (RRs) in women without LUTS at baseline. Both PRs and RRs were calculated by Poisson regression with robust variance estimation and incorporating BACH Survey sampling weights. Adjusted models included known risk factors for LUTS and other sociodemographic covariates: age, race/ethnicity, vaginal parity, body mass index (BMI), waist circumference, smoking status, and diabetes. The analysis was performed using SAS statistical software.