Scott R Bauer1,2,3, Stephanie L Harrison4, Peggy M Cawthon4,5, Angela Senders6, Stacey A Kenfield2, Anne M Suskind2, Charles E McCulloch5, Kenneth Covinsky3,7, Lynn M Marshall6,8. 1. Division of General Internal Medicine, Department of Medicine, University of California, San Francisco, USA. 2. Department of Urology, University of California, San Francisco, USA. 3. San Francisco VA Medical Center, California, USA. 4. Research Institute, California Pacific Medical Center, San Francisco, USA. 5. Department of Epidemiology and Biostatistics, University of California, San Francisco, USA. 6. Oregon Health and Science University-Portland State University School of Public Health, USA. 7. Division of Geriatrics, Department of Medicine, University of California, San Francisco, USA. 8. Department of Orthopaedics and Rehabilitation, Oregon Health and Science University, Portland, USA.
Abstract
BACKGROUND: Adiposity increases risk for male lower urinary tract symptoms (LUTS), although longitudinal studies have produced conflicting results. No prior studies have evaluated longitudinal associations of changes in adiposity with concurrent LUTS severity among older men. METHODS: We used repeated adiposity measurements from dual-energy x-ray absorptiometry (DXA), body mass index (BMI), and American Urological Association Symptom Index (AUASI) measured at 4 study visits over a 9-year period among 5 949 men enrolled in the Osteoporotic Fractures in Men (MrOS) study. Linear mixed effect models adjusted for age, health-related behaviors, and comorbidities were created to evaluate the association between baseline and change in visceral adipose tissue (VAT) area, total fat mass, and BMI with change in LUTS severity measured by the AUASI. RESULTS: A nonlinear association was observed between baseline VAT area and change in AUASI: men in baseline VAT tertile (T) 2 had a lower annual increase in AUASI score compared to men in T1 and T3 (T2 vs T1: β = -0.07; 95% CI -0.12, -0.03; p = .008; T3 vs T1: NS) but differences were small. No significant associations were observed between change in VAT area and change in AUASI score. Neither baseline tertiles nor change in total fat mass or BMI were associated with change in AUASI score. CONCLUSIONS: Changes in VAT area, total fat mass, and BMI were not associated with change in LUTS severity in this cohort. Thus, despite other health benefits, interventions targeting adiposity alone are unlikely to be effective for preventing or treating LUTS among older men.
BACKGROUND: Adiposity increases risk for male lower urinary tract symptoms (LUTS), although longitudinal studies have produced conflicting results. No prior studies have evaluated longitudinal associations of changes in adiposity with concurrent LUTS severity among older men. METHODS: We used repeated adiposity measurements from dual-energy x-ray absorptiometry (DXA), body mass index (BMI), and American Urological Association Symptom Index (AUASI) measured at 4 study visits over a 9-year period among 5 949 men enrolled in the Osteoporotic Fractures in Men (MrOS) study. Linear mixed effect models adjusted for age, health-related behaviors, and comorbidities were created to evaluate the association between baseline and change in visceral adipose tissue (VAT) area, total fat mass, and BMI with change in LUTS severity measured by the AUASI. RESULTS: A nonlinear association was observed between baseline VAT area and change in AUASI: men in baseline VAT tertile (T) 2 had a lower annual increase in AUASI score compared to men in T1 and T3 (T2 vs T1: β = -0.07; 95% CI -0.12, -0.03; p = .008; T3 vs T1: NS) but differences were small. No significant associations were observed between change in VAT area and change in AUASI score. Neither baseline tertiles nor change in total fat mass or BMI were associated with change in AUASI score. CONCLUSIONS: Changes in VAT area, total fat mass, and BMI were not associated with change in LUTS severity in this cohort. Thus, despite other health benefits, interventions targeting adiposity alone are unlikely to be effective for preventing or treating LUTS among older men.
Authors: Jennifer L St Sauver; Aruna V Sarma; John M Hollingsworth; Debra J Jacobson; Michaela E McGree; Rodney L Dunn; Michael M Lieber; Steven J Jacobsen Journal: Urology Date: 2011-06-15 Impact factor: 2.649
Authors: Alan R Kristal; Kathryn B Arnold; Jeannette M Schenk; Marian L Neuhouser; Noel Weiss; Phyllis Goodman; Colleen M Antvelink; David F Penson; Ian M Thompson Journal: J Urol Date: 2007-04 Impact factor: 7.450
Authors: Barbara J Nicklas; Brenda W J H Penninx; Matteo Cesari; Stephen B Kritchevsky; Anne B Newman; Alka M Kanaya; Marco Pahor; Ding Jingzhong; Tamara B Harris Journal: Am J Epidemiol Date: 2004-10-15 Impact factor: 4.897
Authors: Bret H Goodpaster; Shanthi Krishnaswami; Helaine Resnick; David E Kelley; Catherine Haggerty; Tamara B Harris; Ann V Schwartz; Steven Kritchevsky; Anne B Newman Journal: Diabetes Care Date: 2003-02 Impact factor: 19.112
Authors: L M Marshall; K F Holton; J K Parsons; J A Lapidus; K Ramsey; E Barrett-Connor Journal: Prostate Cancer Prostatic Dis Date: 2014-07-08 Impact factor: 5.554