Literature DB >> 27733451

Demographic Factors Associated With Leading Causes of Injury Mortality in Ningbo, China: 2004-2013.

Yinchao Zhu1, Xia Jiang2, Hui Li1, Yong Wang1, Guozhang Xu3.   

Abstract

Injuries have emerged as a crucial public health concern in China. Data were obtained from the death registry system in Ningbo during 2004-2013. Mortality rates resulting from all injuries and the 6 most common types of injuries were analyzed to identify time trends using linear regression models on both the absolute scale and log scale. A decreased male to female ratio and increasing age were observed among the total injury deaths. The annual all-injury mortality rates declined considerably during the observation period. Injury mortality rates for motor vehicle traffic crashes, drowning, and suicide all showed a deceasing trend; however, only mortality from falls showed an increasing trend. There was a sharp increasing trend among females, with a disproportionate number of falls. The injury patterns in Ningbo are mostly comparable to those in high-income countries. Appropriate preventive strategies should be urgently tailored to control this aggressive evolution in older individuals and females.
© 2016 APJPH.

Entities:  

Keywords:  China; epidemiology; health inequality; injury; mortality rate

Mesh:

Year:  2016        PMID: 27733451     DOI: 10.1177/1010539516669430

Source DB:  PubMed          Journal:  Asia Pac J Public Health        ISSN: 1010-5395            Impact factor:   1.399


  2 in total

1.  Comparing Estimates of Fall-Related Mortality Incidence Among Older Adults in the United States.

Authors:  Matthew C Lohman; Amanda J Sonnega; Emily J Nicklett; Lillian Estenson; Amanda N Leggett
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2019-08-16       Impact factor: 6.053

2.  Epidemiological characteristics of injury mortality in Guangdong Province, China, 2015.

Authors:  Ruilin Meng; Xiaojun Xu; Yanjun Xu; Chao Luo; Haofeng Xu; Ye Wang; Xiuling Song; Liang Xia; Ni Xiao; Shaoen Zhou; Lifeng Lin
Journal:  BMC Public Health       Date:  2019-02-01       Impact factor: 3.295

  2 in total

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