Association between upper extremity fractures and weight status in children.
Association between upper extremity fractures and weight status in children.
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DOI：
10.1097/pec.0b013e318226c840
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发表时间：
2011-08
影响因子：
1.4
通讯作者：
Ryan LM
中科院分区：
文献类型：
--
作者：
Singer SA;Chamberlain JM;Tosi L;Teach SJ;Ryan LM
目的：我们的目标是确定有增加的体重状况的儿童上肢骨折（UEF）与3个对照组相比，没有fraughts.Methods：这是一个二级分析的数据从儿科入院风险（PRISA和PRISA II）的数据集。年龄在5 - 14岁之间的无慢性疾病的患者被纳入以下组：（1）UEF研究组，（2）上肢非骨折损伤对照组，（3）轻微头部损伤对照组，和（4）非损伤概率对照组。使用年龄/性别别体重量表评价体重状态。确定了年龄/性别体重大于第50、85和95位体重的患者比例。Logistic回归被用来生成比值比比较UEF组与每个对照组分层的年龄。结果：这项分析包括308例患者在5至9岁的年龄组和207例患者在10至14岁的年龄组。与所有对照组相比，5至9岁UEF儿童体重大于年龄/性别第50百分位数的几率显著增加。UEF儿童年龄在10至14岁之间，与controls.Conclusions相比，相应的比值比没有显着差异：这些发现可能与不同的损伤机制，流动性模式，或潜在的患者骨折的基础上，在青春期前与青春期人群的体重状况和骨质的脆弱性。进一步的调查应探讨骨折流行病学和骨折风险的儿童分层的年龄。
Objectives:Our objective was to determine the odds of having an increased weight status among children with upper extremity fracture (UEF) compared with 3 control groups without fractures.Methods:This is a secondary analysis of data from the Pediatric Risk of Admission (PRISA and PRISA II) data sets. Patients without chronic illness between the ages of 5 to 14 years were included in the following groups:(1) UEF study group,(2) upper extremity nonfracture injured control group,(3) minor-head-injured control group, and (4) noninjured probability control group. Weight for age/sex percentiles was used to evaluate weight status. The proportions of patients with weight for age/sex greater than the 50th, 85th, and 95th percentiles were determined. Logistic regression was used to generate odds ratios comparing the UEF group with each control group stratified by age.Results:This analysis included 308 patients in the 5-to 9-year age group and 207 patients in the 10-to 14-year age group. The odds of having a weight greater than the 50th percentile for age/sex were significantly increased among children with UEF aged 5 to 9 years compared with all control groups. There were no significant differences in the corresponding odds ratios for children with UEF aged 10 to 14 years compared with controls.Conclusions:These findings may be related to differential injury mechanisms, mobility patterns, or underlying patient vulnerability to fracture based on weight status and bone qualities in prepubescent versus pubescent populations. Further investigation should explore fracture epidemiology and fracture risk in children stratified by age.