Loading
Diabetes, Cardiovascular Risks, and Lipoproteins · Journal article
Scientific Reports · September 2, 2026
Early or partial results. Treat as a signal, not a conclusion.
In 139 women with obesity, age and current smoking showed multivariable-adjusted associations with storage symptom burden, whereas metabolic biomarkers (HOMA-IR, HDL cholesterol) did not remain independently associated after correction for multiple testing. The authors note these cross-sectional associations are non-causal and the primary outcome was measured using a study-specific scale that differs from validated instruments.
Cross-sectional observational study. Women with body mass index ≥ 30 kg/m² enrolled in a prospectively collected cohort who underwent anthropometric, biochemical, and structured urinary symptom assessment.. n = 139.
Age was associated with greater symptom burden (β = 1.81 per SD, 95% CI 0.47–3.15) Current smoking was associated with greater symptom burden (β = 3.60, 95% CI 0.33–6.88) Weak nominal correlations with HOMA-IR and HDL cholesterol did not remain significant after false-discovery-rate sensitivity adjustment
Safety was not reported in the material analysed. Check the source before drawing any conclusion about harm.
These hypothesis-generating findings suggest age and smoking status may warrant urinary symptom assessment in women attending obesity clinics; however, the cross-sectional design, study-specific unvalidated outcome measure, and confidence intervals including zero limit clinical actionability until confirmed in prospective studies with validated instruments.
Small single-center cross-sectional study with a study-specific symptom measure (unvalidated modified scale) showing weak associations that do not survive multiple-testing correction; provides hypothesis-generating data but insufficient to guide clinical practice.
As stated by the source record.
Quoted from the source exactly as published.
These hypothesis-generating findings suggest age and smoking status may warrant urinary symptom assessment in women attending obesity clinics; however, the cross-sectional design, study-specific unvalidated outcome measure, and confidence intervals including zero limit clinical actionability until confirmed in prospective studies with validated instruments.
Graded across the dimensions that decide whether you should act, each from what the source actually supports. There is no single score, and where a dimension was not assessed it says so.
Obesity frequently coexists with insulin resistance and lower urinary tract symptoms, but the independent contribution of metabolic abnormalities among women with obesity is uncertain. We analyzed prospectively collected cross-sectional data from 139 women with body mass index ≥ 30 kg/m 2 who underwent anthropometric, biochemical, and structured urinary symptom assessment. Storage symptom burden was measured using a locally modified six-item set based on the OAB-q Short Form symptom-bother domain; because wording and scoring differed from the validated instrument, the resulting 6–36 score was treated as study-specific. Internal consistency was high (Cronbach’s α = 0.907). Symptom burden showed weak nominal correlations with HOMA-IR and HDL cholesterol, but neither remained significant after false-discovery-rate sensitivity adjustment. After multivariable adjustment, age (β = 1.81 per SD, 95% CI 0.47–3.15) and current smoking (β = 3.60, 95% CI 0.33–6.88) were associated with greater symptom burden, whereas no individual metabolic marker was independently associated with the primary outcome. No prespecified predictor was independently associated with nocturia ≥ 2/night. Sensitivity analyses did not materially alter the metabolic conclusions. Age and smoking may therefore be useful prompts for urinary symptom assessment in obesity-clinic practice, although these cross-sectional associations are non-causal.
Taken from the source record, never inferred. Follow any of these and new work involving them reaches your briefing.