• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

经济发展作为伤害死亡率的一个决定因素——一种纵向研究方法。

Economic development as a determinant of injury mortality - a longitudinal approach.

作者信息

Moniruzzaman Syed, Andersson Ragnar

机构信息

Division of Public Health Sciences, Department of Health and Environmental Sciences, Karlstad University, 651 88 Karlstad, Sweden.

出版信息

Soc Sci Med. 2008 Apr;66(8):1699-708. doi: 10.1016/j.socscimed.2007.12.020. Epub 2008 Mar 4.

DOI:10.1016/j.socscimed.2007.12.020
PMID:18308440
Abstract

Cross-sectional studies have produced clear inverted U-shaped curves between injury mortality and economic development; yet, this does not mean that single countries will necessarily follow similar curves as they grow richer over time. This study was conducted to examine whether previous cross-sectional findings can be verified using a longitudinal approach. Data for both injury mortality and gross domestic product (GDP) per capita were obtained from an official health database for the member countries of the Organization for Economic Cooperation and Development (OECD) for the period of 1960-1999. Regression models were then used to examine the longitudinal relationship between these two variables. Substantial improvements in injury mortality were observed in all income categories in the selected countries. For higher and middle high-income countries, injury mortality rates (all causes) increased until 1972, peaking in 1972 and then declining. For industrialized countries with relatively low GDP, injury mortality rates increased until 1977 and then declined. Using cubic regression lines for injury mortality rates, for all income categories, injury mortality rates increased up to a GDP per capita of USD 3,000-USD 4,000, then decreased significantly. The rising trends of suicide and homicide rates were observed until countries attained a GDP per capita of around USD 13,000-USD 14,000 for all income categories. It is noteworthy that compared to the intentional injury categories, mortality due to road traffic accidents and injuries from falls declined earlier on in the economic development process. Longitudinal analysis among high-income countries confirms earlier cross-sectional findings; that is, most injury categories seem to follow inverted U-shaped trend lines, with declining trends after peaking at various stages of temporal and economical development. A comparison between time and economy suggests that differences in peaking time between countries for the same injury category is partly a reflection of temporal differences in economic development.

摘要

横断面研究已得出伤害死亡率与经济发展之间清晰的倒U形曲线;然而,这并不意味着单个国家随着时间推移变得更加富裕时一定会遵循类似的曲线。本研究旨在探讨能否用纵向研究方法验证先前横断面研究的结果。伤害死亡率和人均国内生产总值(GDP)的数据均取自经济合作与发展组织(OECD)成员国1960 - 1999年的官方卫生数据库。然后使用回归模型来检验这两个变量之间的纵向关系。在所选定国家的所有收入类别中,伤害死亡率都有显著改善。对于高收入和中高收入国家,伤害死亡率(所有原因)在1972年之前上升,于1972年达到峰值,随后下降。对于GDP相对较低的工业化国家,伤害死亡率在1977年之前上升,之后下降。使用伤害死亡率的三次回归线,对于所有收入类别,伤害死亡率在人均GDP达到3000 - 4000美元之前上升,之后显著下降。在所有收入类别中,直到国家人均GDP达到约13000 - 14000美元时,自杀率和凶杀率才呈现上升趋势。值得注意的是,与故意伤害类别相比,道路交通事故和跌倒伤害导致的死亡率在经济发展过程中下降得更早。高收入国家之间的纵向分析证实了先前横断面研究的结果;也就是说,大多数伤害类别似乎都遵循倒U形趋势线,在时间和经济发展的各个阶段达到峰值后呈下降趋势。时间与经济之间的比较表明,同一伤害类别在不同国家达到峰值的时间差异部分反映了经济发展的时间差异。

相似文献

1
Economic development as a determinant of injury mortality - a longitudinal approach.经济发展作为伤害死亡率的一个决定因素——一种纵向研究方法。
Soc Sci Med. 2008 Apr;66(8):1699-708. doi: 10.1016/j.socscimed.2007.12.020. Epub 2008 Mar 4.
2
Traffic-related mortality in industrialized and less developed countries.工业化国家和欠发达国家与交通相关的死亡率。
Bull World Health Organ. 1995;73(2):175-82.
3
Relationship between economic development and risk of injuries in older adults and the elderly. A global analysis of unintentional injury mortality in an epidemiologic transition perspective.经济发展与老年人伤害风险之间的关系。从流行病学转变角度对非故意伤害死亡率的全球分析。
Eur J Public Health. 2005 Oct;15(5):454-8. doi: 10.1093/eurpub/cki014. Epub 2005 Jul 21.
4
Traffic injury mortality in children in transitional Lithuania--a longitudinal analysis from 1971 to 2005.立陶宛转型期儿童交通伤死亡率——1971年至2005年的纵向分析
Acta Paediatr. 2008 Mar;97(3):358-61. doi: 10.1111/j.1651-2227.2007.00634.x.
5
Sex- and age- specific relations between economic development, economic inequality and homicide rates in people aged 0-24 years: a cross-sectional analysis.0-24岁人群中经济发展、经济不平等与凶杀率之间的性别和年龄特异性关系:一项横断面分析
Bull World Health Organ. 2002;80(10):797-805. Epub 2002 Nov 28.
6
National road casualties and economic development.全国道路伤亡与经济发展。
Health Econ. 2006 Jan;15(1):65-81. doi: 10.1002/hec.1020.
7
Unintentional injury mortality and socio-economic development among 15-44-year-olds: in a health transition perspective.15至44岁人群的非故意伤害死亡率与社会经济发展:基于健康转型视角
Public Health. 2000 Sep;114(5):416-22. doi: 10.1038/sj.ph.1900646.
8
Economic development's effect on road transport-related mortality among different types of road users: a cross-sectional international study.经济发展对不同类型道路使用者中与道路运输相关死亡率的影响:一项横断面国际研究。
Accid Anal Prev. 2007 May;39(3):606-17. doi: 10.1016/j.aap.2006.10.007. Epub 2006 Nov 7.
9
The relative contribution of income inequality and imprisonment to the variation in homicide rates among Developed (OECD), South and Central American countries.收入不平等和监禁对发达国家(经合组织)、南美洲和中美洲国家凶杀率差异的相对贡献。
Soc Sci Med. 2009 Nov;69(9):1343-50. doi: 10.1016/j.socscimed.2009.08.013. Epub 2009 Sep 4.
10
Cross-national injury mortality differentials by income level: the possible role of age and ageing.不同收入水平国家间的伤害死亡率差异:年龄与老龄化的潜在作用。
Public Health. 2008 Nov;122(11):1167-76. doi: 10.1016/j.puhe.2008.02.012. Epub 2008 Jul 29.

引用本文的文献

1
Spatiotemporal patterns and structural inequalities associated with the incidence of common workplace accidents in Brazil.巴西常见工作场所事故发生率相关的时空模式与结构不平等现象。
Rev Bras Med Trab. 2025 Aug 25;23(1):e20241334. doi: 10.47626/1679-4435-2024-1334. eCollection 2025 Jan-Mar.
2
The relationship between income level and road traffic deaths: an empirical analysis for 22 OECD countries.收入水平与道路交通死亡人数之间的关系:对22个经合组织国家的实证分析。
BMC Public Health. 2025 Aug 16;25(1):2809. doi: 10.1186/s12889-025-23726-9.
3
The role of effective factors on suicidal tendency of women in Turkey.
影响土耳其女性自杀倾向的相关因素的作用。
Front Public Health. 2024 Jan 10;11:1332937. doi: 10.3389/fpubh.2023.1332937. eCollection 2023.
4
The Association between Comorbidities and Comorbid Injuries on Treatment Outcome in Pediatric and Elderly Patients with Injuries in Korea: An Observational Study.韩国儿童和老年伤病患者合并症及合并伤与治疗效果的关系:一项观察性研究。
Int J Environ Res Public Health. 2022 May 21;19(10):6277. doi: 10.3390/ijerph19106277.
5
Analysis of the Correlation between Occupational Accidents and Economic Factors in China.中国职业事故与经济因素的相关性分析。
Int J Environ Res Public Health. 2021 Oct 14;18(20):10781. doi: 10.3390/ijerph182010781.
6
Fertility, economic development, and suicides among women in India.印度女性的生育率、经济发展与自杀。
Soc Psychiatry Psychiatr Epidemiol. 2021 Oct;56(10):1751-1759. doi: 10.1007/s00127-021-02054-4. Epub 2021 Mar 15.
7
Analysis of the Characteristics of Fatal Accidents in the Construction Industry in China Based on Statistical Data.基于统计数据的中国建筑行业致命事故特征分析。
Int J Environ Res Public Health. 2021 Feb 23;18(4):2162. doi: 10.3390/ijerph18042162.
8
Friendship Importance Around the World: Links to Cultural Factors, Health, and Well-Being.世界各地的友谊重要性:与文化因素、健康和幸福的联系。
Front Psychol. 2021 Jan 18;11:570839. doi: 10.3389/fpsyg.2020.570839. eCollection 2020.
9
Burden of injury along the development spectrum: associations between the Socio-demographic Index and disability-adjusted life year estimates from the Global Burden of Disease Study 2017.发展谱中的伤害负担:2017 年全球疾病负担研究中社会人口指数与伤残调整生命年估计值之间的关系。
Inj Prev. 2020 Oct;26(Supp 1):i12-i26. doi: 10.1136/injuryprev-2019-043296. Epub 2020 Jan 8.
10
Mortality due to road injuries in the states of India: the Global Burden of Disease Study 1990-2017.印度各州道路伤害导致的死亡率:1990-2017 年全球疾病负担研究。
Lancet Public Health. 2020 Feb;5(2):e86-e98. doi: 10.1016/S2468-2667(19)30246-4. Epub 2019 Dec 23.