PURPOSE: The prevalence of obesity and urolithiasis in children has increased with time. We evaluated the relationship between body mass and urolithiasis in children. MATERIALS AND METHODS: We performed a matched case-control study in a network of 30 primary care pediatric practices. Cases included subjects with ICD-9 codes for urolithiasis and controls were matched on age, duration of observation before the index date and clinical practice. Age and sex specific body mass index z scores at the time of the stone episode were calculated. Continuous body mass index z scores and clinical weight categories were evaluated with covariates, including race, ethnicity, gender and payer status. The OR and 95% CI were calculated using multivariate conditional logistic regression. RESULTS: We identified 110 cases and 396 matched controls, of whom 1.9% and 4.3% were overweight, and 3.7% and 4.5% were obese, respectively. On multivariate conditional logistic regression analysis the continuous body mass index z score (OR 0.84, 95% CI 0.63-1.12, p = 0.18), overweight status (OR 0.13, 95% CI 0.01-1.18) and obese status (OR 0.18, 95% CI 0.02-1.40) were not associated with urolithiasis. However, black race (OR 0.35, 95% CI 0.15-0.85) and Medicaid payer status (OR 0.47, 95% CI 0.24-0.93) were associated with a significant decrease in the odds of urolithiasis. CONCLUSIONS: High body mass was not associated with urolithiasis in our primary care pediatric practice network. However, black race and Medicaid payer status were associated with decreased odds of urolithiasis.
PURPOSE: The prevalence of obesity and urolithiasis in children has increased with time. We evaluated the relationship between body mass and urolithiasis in children. MATERIALS AND METHODS: We performed a matched case-control study in a network of 30 primary care pediatric practices. Cases included subjects with ICD-9 codes for urolithiasis and controls were matched on age, duration of observation before the index date and clinical practice. Age and sex specific body mass index z scores at the time of the stone episode were calculated. Continuous body mass index z scores and clinical weight categories were evaluated with covariates, including race, ethnicity, gender and payer status. The OR and 95% CI were calculated using multivariate conditional logistic regression. RESULTS: We identified 110 cases and 396 matched controls, of whom 1.9% and 4.3% were overweight, and 3.7% and 4.5% were obese, respectively. On multivariate conditional logistic regression analysis the continuous body mass index z score (OR 0.84, 95% CI 0.63-1.12, p = 0.18), overweight status (OR 0.13, 95% CI 0.01-1.18) and obese status (OR 0.18, 95% CI 0.02-1.40) were not associated with urolithiasis. However, black race (OR 0.35, 95% CI 0.15-0.85) and Medicaid payer status (OR 0.47, 95% CI 0.24-0.93) were associated with a significant decrease in the odds of urolithiasis. CONCLUSIONS: High body mass was not associated with urolithiasis in our primary care pediatric practice network. However, black race and Medicaid payer status were associated with decreased odds of urolithiasis.
Authors: Charles D Scales; Lesley H Curtis; Regina D Norris; W Patrick Springhart; Roger L Sur; Kevin A Schulman; Glenn M Preminger Journal: J Urol Date: 2007-03 Impact factor: 7.450
Authors: Charles D Scales; Gregory E Tasian; Andrew L Schwaderer; David S Goldfarb; Robert A Star; Ziya Kirkali Journal: Clin J Am Soc Nephrol Date: 2016-03-10 Impact factor: 8.237
Authors: Gregory E Tasian; Michelle E Ross; Lihai Song; David J Sas; Ron Keren; Michelle R Denburg; David I Chu; Lawrence Copelovitch; Christopher S Saigal; Susan L Furth Journal: Clin J Am Soc Nephrol Date: 2016-01-14 Impact factor: 8.237
Authors: Ho Won Kang; Sung Pil Seo; Yun Sok Ha; Won Tae Kim; Yong June Kim; Seok Joong Yun; Wun Jae Kim; Sang Cheol Lee Journal: J Korean Med Sci Date: 2017-09 Impact factor: 2.153