AIMS: To investigate the association between the self-perception period of OAB symptoms (SP-OAB) and the overactive bladder symptom score (OABSS), along with related sociodemographic and lifestyle factors. METHODS: This was a cross-sectional study comprised of 192 men aged 40 years and older who participated in a prostate examination survey between February and May 2009 and proved to have OAB. Survey questionnaires included items on the OABSS and the SP-OAB assessed by the OABSS. Various sociodemographic and lifestyle factors were also included. RESULTS: The average SP-OAB period was 24.72 ± 45.75 months and became significantly longer as the severity of OAB increased in correlation analysis (coefficient = 0.501, p < 0.001). Age, education, income, regular check-up, health maintenance and occupation were all risk factors in both OABSS and SP-OAB in univariate analysis. Body mass index (BMI), family size and SP-OAB were risk factors for OABSS in univariate analysis. Age and regular check-ups were factors in both OABSS and SP-OAB in multivariate analysis. BMI, income and SP-OAB were risk factors for OABSS. CONCLUSION: These findings suggest that the SP-OAB is an independent risk factor for OAB progression and that various sociodemographic and lifestyle factors affect OABSS. The self-perception period should be considered in the treatment and prevention of OAB symptoms.
AIMS: To investigate the association between the self-perception period of OAB symptoms (SP-OAB) and the overactive bladder symptom score (OABSS), along with related sociodemographic and lifestyle factors. METHODS: This was a cross-sectional study comprised of 192 men aged 40 years and older who participated in a prostate examination survey between February and May 2009 and proved to have OAB. Survey questionnaires included items on the OABSS and the SP-OAB assessed by the OABSS. Various sociodemographic and lifestyle factors were also included. RESULTS: The average SP-OAB period was 24.72 ± 45.75 months and became significantly longer as the severity of OAB increased in correlation analysis (coefficient = 0.501, p < 0.001). Age, education, income, regular check-up, health maintenance and occupation were all risk factors in both OABSS and SP-OAB in univariate analysis. Body mass index (BMI), family size and SP-OAB were risk factors for OABSS in univariate analysis. Age and regular check-ups were factors in both OABSS and SP-OAB in multivariate analysis. BMI, income and SP-OAB were risk factors for OABSS. CONCLUSION: These findings suggest that the SP-OAB is an independent risk factor for OAB progression and that various sociodemographic and lifestyle factors affect OABSS. The self-perception period should be considered in the treatment and prevention of OAB symptoms.