title: Mortality from Unspecified Unintentional Injury among Individuals Aged 65 Years and Older by U.S. State, 1999-2013.
abstract: Recent changes in unspecified unintentional injury mortality for the elderly by U.S. state remain unreported. This study aims to examine U.S. state variations in mortality from unspecified unintentional injury among Americans aged 65+, 1999-2013;
  
  
  
  Using mortality rates from the U.S. CDC's Web-based Injury Statistics Query and Reporting System (WISQARS™), we examined unspecified unintentional injury mortality for older adults aged 65+ from 1999 to 2013 by state. Specifically, the proportion of unintentional injury deaths with unspecified external cause in the data was considered. Linear regression examined the statistical significance of changes in proportion of unspecified unintentional injury from 1999 to 2013;
  
  
  
  Of the 36 U.S. states with stable mortality rates, over 8-fold differences were observed for both the mortality rates and the proportions of unspecified unintentional injury for Americans aged 65+ during 1999-2013. Twenty-nine of the 36 states showed reductions in the proportion of unspecified unintentional injury cause, with Oklahoma (-89%), Massachusetts (-86%) and Oregon (-81%) displaying the largest changes. As unspecified unintentional injury mortality decreased, mortality from falls in 28 states and poisoning in 3 states increased significantly. Mortality from suffocation in 15 states, motor vehicle traffic crashes in 12 states, and fire/burn in 8 states also decreased;
  
  
  
  The proportion of unintentional injuries among older adults with unspecified cause decreased significantly for many states in the United States from 1999 to 2013. The reduced proportion of unspecified injury has implications for research and practice. It should be considered in state-level trend analysis during 1999-2013. It also suggests comparisons between states for specific injury mortality should be conducted with caution, as large differences in unspecified injury mortality across states and over time could create bias for specified injury mortality comparisons.
authors.affiliation: Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, 110 Xiangya Road, Changsha 410078, Hunan, China. chengxunjie163@163.com.
authors.forename: Xunjie
authors.initials: X
authors.lastname: Cheng
authors.affiliation: Department of Occupational and Environmental Health, Xiangya School of Public Health, Central South University, 110 Xiangya Road, Changsha 410078, Hunan, China. wuyue7802@csu.edu.cn.
authors.forename: Yue
authors.initials: Y
authors.lastname: Wu
authors.affiliation: College of Humanities and Social Sciences, Harbin Institute of Technology (Shenzhen), Xili, Nanshan District, Shenzhen 518055, Guangdong, China. yaojie@hitsz.edu.cn.
authors.forename: Jie
authors.initials: J
authors.lastname: Yao
authors.affiliation: Department of Psychology, University of Alabama at Birmingham, Birmingham, AL 35294, USA. schwebel@uab.edu.
authors.forename: David C
authors.initials: DC
authors.lastname: Schwebel
authors.affiliation: Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, 110 Xiangya Road, Changsha 410078, Hunan, China. huguoqing009@gmail.com.
authors.forename: Guoqing
authors.initials: G
authors.lastname: Hu
mesh_terms: D000368:Aged; D002487:Centers for Disease Control and Prevention, U.S.; D005260:Female; D006801:Humans; D016014:Linear Models; D008297:Male; D014481:United States / Q000453:epidemiology; D014947:Wounds and Injuries / Q000453:epidemiology* / Q000209:etiology / Q000401:mortality*
keywords: U.S.; elderly; mortality; specificity; unintentional injury