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Baseline characteristics and multi-stage regression estimates for incident storage and voiding LUTS (AUA-SI) in a community-based cohort of Australian men.

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posted on 2015-10-07, 03:17 authored by Sean Martin, Andrew Vincent, Anne W. Taylor, Evan Atlantis, Alicia Jenkins, Andrzej Januszewski, Peter O’Loughlin, Gary Wittert

Data presented are mean & standard deviation (continuous) or percentage & number (categorical). Non-normally distributed data are presented as median & SEM.

* Model 1 includes all covariates with a univariate association with the outcome measure of p<0.25

# Identical to Model 1, excluding inflammation markers with a univariate association of p<0.25.

Δ Identical to Model 1, excluding LUTS, anxiety & depression. Full model also adjusted for: (Storage LUTS) age, BMI, handgrip strength, marital status, work status, household income, recreational exercise level, LDL cholesterol, total testosterone, sleep apnea (AHI>10), diabetes; (Voiding LUTS) As previous, minus work status, LDL cholesterol, also: HDL cholesterol, serum prostate specific antigen (PSA), erectile dysfunction, angina (see: S1 Table for confounder univariate and multivariate data).

Baseline characteristics and multi-stage regression estimates for incident storage and voiding LUTS (AUA-SI) in a community-based cohort of Australian men.

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