Body Composition Affects Risk of Urinary Incontinence
|
By HospiMedica International staff writers Posted on 15 Dec 2016 |
A new study suggests that stress and urgency urinary incontinence is twice as prevalent in older women with a high body mass index (BMI).
Researchers at the University of California, San Francisco (UCSF; USA), VU University Medical Center (Amsterdam, The Netherlands), and other institutions conducted a study in 1,475 women (initially aged 70-79) in order to evaluate prospective relationships between body composition and muscle strength with predominantly stress urinary incontinence (SUI) and urgency urinary incontinence (UUI).
Urinary incontinence was assessed using structured questionnaires. Body mass index (BMI), grip strength, quadriceps torque, and walking speed were assessed using physical examination and performance testing. Appendicular lean body mass (ALM) and whole-body fat mass were measured using dual-energy X-ray absorptiometry. At baseline, 14% of the women reported at least monthly predominantly SUI, and 16% at least monthly predominantly UUI. At three years, 14% had new or persistent SUI, and 28% had new or persistent UUI.
The results showed that women had greater odds of new or persistent SUI if they demonstrated a 5% or greater decrease in grip strength, and lower odds of new or persistent SUI if they demonstrated a 5% or greater decrease in BMI, a 5% or greater increase in ALM corrected for BMI, or a 5% or greater decrease in fat mass. Only a 5% or greater increase in walking speed was associated with new or persistent UUI over three years. The study was published in the November 2016 issue of the Journal of the American Geriatrics Society.
“The findings suggest that higher BMI and fat mass are important markers of risk for SUI and UII in older women, and that their risk of SUI may be partially reversible through weight loss,” said lead author Anne Suskind, MD, MSc, of UCSF. “Changes in body composition and grip strength were associated with changes in SUI, but not in UUI, frequency over time. These findings suggest that optimization of body composition may help to modify the risk of SUI, but not necessarily UUI.”
SUI is the loss of bladder control or involuntary loss of urine when coughing, laughing, sneezing, getting up from a chair, or during heavy lifting. It is the most common type of incontinence suffered by women, especially older women. Causes include weak pelvic muscles or a weak sphincter muscle, and giving birth. Chronic coughing, smoking, and obesity may also lead to SUI.
Related Links:
University of California, San Francisco
VU University Medical Center
Researchers at the University of California, San Francisco (UCSF; USA), VU University Medical Center (Amsterdam, The Netherlands), and other institutions conducted a study in 1,475 women (initially aged 70-79) in order to evaluate prospective relationships between body composition and muscle strength with predominantly stress urinary incontinence (SUI) and urgency urinary incontinence (UUI).
Urinary incontinence was assessed using structured questionnaires. Body mass index (BMI), grip strength, quadriceps torque, and walking speed were assessed using physical examination and performance testing. Appendicular lean body mass (ALM) and whole-body fat mass were measured using dual-energy X-ray absorptiometry. At baseline, 14% of the women reported at least monthly predominantly SUI, and 16% at least monthly predominantly UUI. At three years, 14% had new or persistent SUI, and 28% had new or persistent UUI.
The results showed that women had greater odds of new or persistent SUI if they demonstrated a 5% or greater decrease in grip strength, and lower odds of new or persistent SUI if they demonstrated a 5% or greater decrease in BMI, a 5% or greater increase in ALM corrected for BMI, or a 5% or greater decrease in fat mass. Only a 5% or greater increase in walking speed was associated with new or persistent UUI over three years. The study was published in the November 2016 issue of the Journal of the American Geriatrics Society.
“The findings suggest that higher BMI and fat mass are important markers of risk for SUI and UII in older women, and that their risk of SUI may be partially reversible through weight loss,” said lead author Anne Suskind, MD, MSc, of UCSF. “Changes in body composition and grip strength were associated with changes in SUI, but not in UUI, frequency over time. These findings suggest that optimization of body composition may help to modify the risk of SUI, but not necessarily UUI.”
SUI is the loss of bladder control or involuntary loss of urine when coughing, laughing, sneezing, getting up from a chair, or during heavy lifting. It is the most common type of incontinence suffered by women, especially older women. Causes include weak pelvic muscles or a weak sphincter muscle, and giving birth. Chronic coughing, smoking, and obesity may also lead to SUI.
Related Links:
University of California, San Francisco
VU University Medical Center
Latest Patient Care News
- Wearable Sleep Data Predict Adherence to Pulmonary Rehabilitation
- Revolutionary Automatic IV-Line Flushing Device to Enhance Infusion Care
- VR Training Tool Combats Contamination of Portable Medical Equipment
- Portable Biosensor Platform to Reduce Hospital-Acquired Infections
- First-Of-Its-Kind Portable Germicidal Light Technology Disinfects High-Touch Clinical Surfaces in Seconds
- Surgical Capacity Optimization Solution Helps Hospitals Boost OR Utilization

- Game-Changing Innovation in Surgical Instrument Sterilization Significantly Improves OR Throughput
- Next Gen ICU Bed to Help Address Complex Critical Care Needs
- Groundbreaking AI-Powered UV-C Disinfection Technology Redefines Infection Control Landscape
- Clean Hospitals Can Reduce Antibiotic Resistance, Save Lives
- Smart Hospital Beds Improve Accuracy of Medical Diagnosis
- New Fast Endoscope Drying System Improves Productivity and Traceability
- World’s First Automated Endoscope Cleaner Fights Antimicrobial Resistance
- Portable High-Capacity Digital Stretcher Scales Provide Precision Weighing for Patients in ER
- Portable Clinical Scale with Remote Indicator Allows for Flexible Patient Weighing Use
- Innovative and Highly Customizable Medical Carts Offer Unlimited Configuration Possibilities
Channels
Artificial Intelligence
view channel
Machine Learning Approach Enhances Liver Cancer Risk Stratification
Hepatocellular carcinoma, the most common form of primary liver cancer, is often detected late despite targeted surveillance programs. Current screening guidelines emphasize patients with known cirrhosis,... Read more
New AI Approach Monitors Brain Health Using Passive Wearable Data
Brain health spans cognitive and emotional functions and can fluctuate even in adults without diagnosed disease. Detecting early changes remains difficult in routine care and burdens specialty services... Read moreCritical Care
view channel
Automated IV Labeling Solution Improves Infusion Safety and Efficiency
Medication administration in high-acuity settings is often complicated by multiple concurrent infusions, making accurate line identification essential. In a 10-hospital intensive care unit study, 60% of... Read more
First-Of-Its-Kind AI Tool Detects Pulmonary Hypertension from Standard ECGs
Pulmonary hypertension is a progressive, life‑threatening disease that is frequently missed early because symptoms such as dyspnea are nonspecific and diagnostic delays can exceed two years.... Read moreSurgical Techniques
view channel
Continuous Monitoring with Wearables Enhances Postoperative Patient Safety
Postoperative hypoxemia on general surgical wards is common and often missed by intermittent vital sign checks. Undetected low oxygen levels can delay recovery and raise the risk of complications that... Read more
New Approach Enables Customized Muscle Tissue Without Biomaterial Scaffolds
Volumetric muscle loss is a traumatic loss of skeletal muscle that often leads to permanent functional impairment and limited reconstructive options. Current experimental strategies struggle to deliver... Read moreHealth IT
view channel
EMR-Based Tool Predicts Graft Failure After Kidney Transplant
Kidney transplantation offers patients with end-stage kidney disease longer survival and better quality of life than dialysis, yet graft failure remains a major challenge. Although a successful transplant... Read more
Printable Molecule-Selective Nanoparticles Enable Mass Production of Wearable Biosensors
The future of medicine is likely to focus on the personalization of healthcare—understanding exactly what an individual requires and delivering the appropriate combination of nutrients, metabolites, and... Read moreBusiness
view channel







