The Association Between Fracture Rates and Neighborhood Characteristics in Washington, DC, Children

被引:0
作者
Ryan, Leticia Manning [1 ,2 ]
Guagliardo, Mark [2 ]
Teach, Stephen J. [1 ,2 ]
Wang, Jichuan [2 ]
Marsh, Jennifer E. [2 ]
Singer, Steven A. [3 ]
Wright, Joseph L. [1 ,2 ,4 ]
Chamberlain, James M. [1 ,2 ]
机构
[1] Childrens Natl Med Ctr, Div Emergency Med, Washington, DC 20010 USA
[2] Childrens Natl Med Ctr, Ctr Clin & Community Res, Washington, DC 20010 USA
[3] George Washington Univ, Med Ctr, Dept Emergency Med, Washington, DC 20037 USA
[4] Childrens Natl Med Ctr, Child Hlth Advocacy Inst, Washington, DC 20010 USA
关键词
injury; fracture; community methodology; BONE-MINERAL DENSITY; DISTAL FOREARM FRACTURES; VITAMIN-D; CHILDHOOD FRACTURES; LACTOSE-INTOLERANCE; PHYSICAL-ACTIVITY; INCREASED RISK; EPIDEMIOLOGY; PREVALENCE; HEALTH;
D O I
10.231/JIM.0b013e318280a835
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background: Effects of neighborhood contextual features have been found for many diseases, including bone fractures in adults. Our study objective was to evaluate the association between neighborhood characteristics and pediatric bone fracture rates. We hypothesized that neighborhood indices of deprivation would be associated with higher fracture rates. Materials and Methods: Pediatric bone fracture cases treated at a tertiary, academic, urban pediatric emergency department between 2003 and 2006 were mapped to census block groups using geographical information systems software. Fracture rates were calculated as fractures per 1000 children in each census block. Exploratory factor analysis of socioeconomic indicators was performed using 2000 census block data. Factor scores were used to predict odds of bone fracture at the individual level while adjusting for mean age, sex composition, and race/ethnicity composition at census block level using our sample data. Results: We analyzed 3764 fracture visits in 3557 patients representing 349 distinct census blocks groups. Fracture rates among census blocks ranged from 0 to 207 per 1000 children/study period. Logistic regression modeling identified 2 factors (race/education and large families) associated with increased fracture risk. Census variables reflecting African American race, laborer/service industry employment, long-term block group residence, and lower education levels strongly loaded on the race/education factor. The large families factor indicated the children-to-families ratio within the block group. The poverty factor was not independently associated with fracture risk. Conclusions: Thus, neighborhood characteristics are associated with risk for fractures in children. These results can help inform translational efforts to develop targeted strategies for bone fracture prevention in children.
引用
收藏
页码:558 / 563
页数:6
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