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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

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收录情况: ◇ SCIE ◇ SSCI

机构: [1]16Department of Applied Social Sciences, Hong Kong Polytechnic University, Hong Kong, China [2]99Department of Epidemiology and Biostatistics, Zhengzhou University, Zhengzhou, China [3]125Department of Epidemiology and Health Statistics, Central South University, Changsha, China [4]141Beijing Institute of Ophthalmology, Beijing Tongren Hospital, Beijing, China [5]267Shanghai Mental Health Center, Shanghai Jiao Tong University, Shanghai, China [6]367Centre for Suicide Research and Prevention, University of Hong Kong, Hong Kong, China [7]368Department of Social Work and Social Administration, University of Hong Kong, Hong Kong, China [8]372School of Medicine, Tsinghua University, Beijing, China [9]373Department of Epidemiology and Biostatistics, Wuhan University, Wuhan, China [10]374Global Health Institute, Wuhan University, Wuhan, China [11]380School of Public Health and Management, Chongqing Medical University, Chongqing, China [12]Department of Public Health, Erasmus University Medical Center, Rotterdam, The Netherlands [13]Institute for Health Metrics and Evaluation, University of Washington, Seattle, Washington, USA
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关键词: epidemiology descriptive epidemiology burden of disease

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Background The epidemiological transition of non-communicable diseases replacing infectious diseases as the main contributors to disease burden has been well documented in global health literature. Less focus, however, has been given to the relationship between sociodemographic changes and injury. The aim of this study was to examine the association between disability-adjusted life years (DALYs) from injury for 195 countries and territories at different levels along the development spectrum between 1990 and 2017 based on the Global Burden of Disease (GBD) 2017 estimates. Methods Injury mortality was estimated using the GBD mortality database, corrections for garbage coding and CODEm-the cause of death ensemble modelling tool. Morbidity estimation was based on surveys and inpatient and outpatient data sets for 30 cause-of-injury with 47 nature-of-injury categories each. The Socio-demographic Index (SDI) is a composite indicator that includes lagged income per capita, average educational attainment over age 15 years and total fertility rate. Results For many causes of injury, age-standardised DALY rates declined with increasing SDI, although road injury, interpersonal violence and self-harm did not follow this pattern. Particularly for self-harm opposing patterns were observed in regions with similar SDI levels. For road injuries, this effect was less pronounced. Conclusions The overall global pattern is that of declining injury burden with increasing SDI. However, not all injuries follow this pattern, which suggests multiple underlying mechanisms influencing injury DALYs. There is a need for a detailed understanding of these patterns to help to inform national and global efforts to address injury-related health outcomes across the development spectrum.

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出版当年[2019]版:
大类 | 4 区 医学
小类 | 3 区 公共卫生、环境卫生与职业卫生
最新[2025]版:
大类 | 4 区 医学
小类 | 3 区 公共卫生、环境卫生与职业卫生
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出版当年[2018]版:
Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
最新[2023]版:
Q2 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH

影响因子: 最新[2023版] 最新五年平均 出版当年[2018版] 出版当年五年平均 出版前一年[2017版] 出版后一年[2019版]

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第一作者机构: [12]Department of Public Health, Erasmus University Medical Center, Rotterdam, The Netherlands
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通讯机构: [13]Institute for Health Metrics and Evaluation, University of Washington, Seattle, Washington, USA [*1]Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA 98121, USA
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