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Road traffic injuries in China: Time trends, risk factors and economic development.

机译:中国道路交通伤害:时间趋势,风险因素和经济发展。

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摘要

More than 90% of the world's deaths from injuries occur in low and middle income countries. Road traffic crashes cause an enormous loss of life, disability and economic loss all over the world (1). China is undergoing great economic development, and is experiencing rapidly increasing motorization, road traffic volume and road traffic crashes, injuries and deaths.;The dissertation, using nine years of data from the China Statistical Yearbook (1998-2006) and four years of more detailed data from the Yunnan Transportation Management Bureau (2002-2005), describes the scale and characteristics of road traffic injuries; the associated risk factors, and the relation to economic development.;The dissertation reviewed all available English and Chinese research papers and studies on road traffic injury in China during 1985 and 2006. A descriptive study showed trends in road traffic injury throughout China from 1998 to 2006 and explored the road traffic distribution and change over 27 provinces and 4 municipal cities. Time variation and province variation were examined using longitudinal data analysis tools. An examination of the association between GDP per capita and road traffic deaths and injuries was conducted. With more detailed data, the Yunnan study explored the epidemiological characteristics and risk factors associated with road traffic injuries to supplement the findings using overall China data.;The results show that as motorization increased, China faced higher road traffic crash rates, fatality rates and injury rates per population. All provinces were affected by the increased road traffic injuries, but provinces with lower GDP per capita bore a higher relative increase in burden. Very high fatality rates per 100 000 population during 1998 to 2006 in China were found in both developed regions and undeveloped regions. The correlation of fatality rate per 100 000 population with GDP per capita was non-linear. When GDP per capita is under 9 000 Yuan a year, there was an increasing trend for fatality rate per 100 000 population, but with higher income there was a somewhat decreasing trend.;The fatality rate/100 000 population was much lower with the data from the Chinese government (8.5/100 000) than that from WHO (19.0/100 000). Some of the discrepancies may be accounted for by differences in the criteria of inclusion and definition of a road traffic fatality. But the main differences seem due to different data sources with that from WHO based on selected surveillance sites while that from the China government based exclusively on police reports.;This investigation provides new evidence for time trends and epidemic features of road traffic injuries in China and Yunnan Province. This study recommends improving injury surveillance systems and building reliable data sources, linking police data with other sources of data, detailed studies of the causes of crashes (e.g., case control studies) and of intervention studies examining all three levels of factors in accord with Haddon's matrix.
机译:世界上超过90%的伤害死于低收入和中等收入国家。道路交通事故在全世界范围内造成巨大的生命,残疾和经济损失(1)。中国正经历着巨大的经济发展,机动化,道路交通量以及道路交通事故,伤害和死亡正迅速增长。论文采用《中国统计年鉴》(1998-2006年)的九年数据和四年来的数据。云南省运输管理局的详细数据(2002-2005年)描述了道路交通伤害的规模和特征;论文回顾了1985年至2006年中国和英国有关道路交通伤害的所有现有研究论文和研究。描述性研究显示了1998年至2008年中国道路交通伤害的趋势。 2006年,探索了27个省和4个市的道路交通分布和变化。使用纵向数据分析工具检查时间变化和省变化。对人均国内生产总值与道路交通伤亡之间的关联进行了检查。云南研究通过更详细的数据探索了与道路交通伤害相关的流行病学特征和危险因素,以使用中国整体数据来补充研究结果;结果表明,随着机动化程度的提高,中国面临着更高的道路交通事故率,死亡率和伤害每人口比率。所有省份都受到道路交通伤害增加的影响,但是人均GDP较低的省份的负担相对较高。在发达地区和不发达地区,1998年至2006年期间,中国每10万人的死亡率很高。每10万人的死亡率与人均GDP的关系是非线性的。当人均GDP低于9000元/年时,每10万人的死亡率呈上升趋势,但随着收入的增加,趋势有所下降。中国政府(8.5 / 100 000)的收入比世界卫生组织(19.0 / 100 000)的收入高。某些差异可能是由于道路交通事故死亡的纳入标准和定义标准不同而造成的。但是主要的差异似乎是由于与世界卫生组织基于选定监测点的数据来源不同,而中国政府仅基于警察报告的数据来源不同。该调查为中国和中国道路交通伤害的时间趋势和流行特征提供了新的证据。云南省。本研究建议改善伤害监视系统并建立可靠的数据源,将警察数据与其他数据源联系起来,对撞车原因进行详细研究(例如,案例控制研究),并进行干预研究,以根据哈登的观点检查所有三个因素水平。矩阵。

著录项

  • 作者

    Wen, Mei.;

  • 作者单位

    The Johns Hopkins University.;

  • 授予单位 The Johns Hopkins University.;
  • 学科 Statistics.;Health Sciences Public Health.
  • 学位 Ph.D.
  • 年度 2009
  • 页码 212 p.
  • 总页数 212
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 统计学;预防医学、卫生学;
  • 关键词

  • 入库时间 2022-08-17 11:37:38

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