Methods: Using the STROBE checklist for cross-sectional studies, 110 patients with scoliosis were selected based on our inclusion and exclusion criteria. Among the patients, 76 presented with ISC and 34 with CSC. Demographic data and other details, such as the results of spine radiography, UDS, and magnetic resonance imaging of the spine in both supine and prone positions, were recorded and analyzed. Results: Approximately 50% of patients with CSC had normal UDS findings; 8.8%, mild impairment; and 41.2%, significant abnormalities. Moreover, 67.1% of patients with ISC had normal UDS findings; 9.2%, mild impairment; and 23.7%, significant abnormalities (p =0.166). TCS was identified in 38.2% and 26.3% of patients with CSC and ISC, respectively (p =0.571). In patients with ISC, a significantly abnormal UDS finding indicated that the risk of TCS increased from 26.3% to 50% (odds ratio [OR], 4.2; p =0.009). Meanwhile, in patients with CSC, the risk was almost similar (OR, 0.8; p =0.8). Conclusions Even with the absence of subjective urinary symptoms, subclinical urologic impairments can be observed in a significant number of patients with ISC. An abnormal UDS finding can be a sign of underlying spinal cord tethering in a patient with ISC who is a candidate for corrective spine surgery even though it is an independent variant and is not exclusive to candidates for surgery. This finding has high clinical utility for neuro- and ortho-spine surgeons who aim to correct scoliosis (OR, 4.2; p =0.009).

BACKGROUND/OBJECTIVES: Although the association of body mass index (BMI) with metabolic syndrome (MetS) is well documented, there is little knowledge on the independent and joint associations of BMI and physical activity with MetS risk based on a continuous scoring system. This study was designed to explore the effect of physical activity on interactions between excess body weight and continuous metabolic syndrome (cMetS) in a nationwide survey of Iranian children and adolescents. SUBJECTS/METHODS: Data on 5,625 school students between 10 and 18 years of age were analyzed. BMI percentiles, screen time activity (STA), leisure time physical activity (LTPA) levels, and components of cMetS risk score were extracted. Standardized residuals (z-scores) were calculated for MetS components. Linear regression models were used to study the interactions between different combinations of cMetS, LTPA, and BMI percentiles. RESULTS: Overall, 984 (17.5%) subjects were underweight, whereas 501 (8.9%) and 451 (8%) participants were overweight and obese, respectively. All standardized values for cMetS components, except fasting blood glucose level, were directly correlated with BMI percentiles in all models (P-trend < 0.001); these associations were independent of STA and LTPA levels. Linear associations were also observed among LTPA and standardized residuals for blood pressure, high-density lipoprotein, and waist circumference (P-trend < 0.01). CONCLUSIONS: Our findings suggest that BMI percentiles are associated with cMetS risk score independent of LTPA and STA levels.
Adolescent ; Blood Glucose ; Blood Pressure ; Body Mass Index* ; Body Weight ; Child ; Fasting ; Humans ; Joints ; Leisure Activities ; Linear Models ; Lipoproteins ; Motor Activity* ; Overweight ; Thinness ; Waist Circumference