分解澳大利亚土著居民和非土著居民在健康和不健康预期寿命方面的差距:疾病和伤害负担研究。

IF 3.2 2区 医学 Q2 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Yuejen Zhao, Renu Unnikrishnan, Ramakrishna Chondur, Jo Wright, Danielle Green
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引用次数: 0

摘要

背景:澳大利亚土著居民和非土著居民之间的健康预期寿命 (HLE) 差距很大。要制定消除这些健康差距的战略,需要详细而准确的信息。本文旨在量化和比较造成澳大利亚北部地区(NT)土著居民和非土著居民预期寿命(LE)差距的原因及其相对贡献:方法:采用年龄原因分解法分析健康预期寿命 (HLE) 和不健康预期寿命 (ULE) 的差异,其中 LE = HLE + ULE。数据来源于 2014 年至 2018 年期间北部地区的疾病负担和伤害研究:2014-2018 年,北部地区土著人口出生时的男性健康预期寿命估计为 43.3 岁,女性为 41.4 岁,分别比非土著人口短 26.5 岁和 33.5 岁。这一差距约为出生时平均预期寿命差距(男性 14.0 岁,女性 16.6 岁)的两倍。与低出生体重儿和高出生体重儿相比,土著居民出生时的低出生体重儿比非土著居民长。造成出生时无证健康状况差距的主要原因是内分泌疾病(解释为 2.9-4.4 年,占 23-26%),其次是男性的精神疾病和女性的肌肉骨骼疾病(分别为 1.92 年和 1.94 年,占 15%和 12%),与造成无证健康状况差距的原因(心血管疾病、癌症和意外伤害)明显不同:ULE估计值为了解发病模式提供了宝贵的信息,尤其是在一级和二级预防方面。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Decomposing the gaps in healthy and unhealthy life expectancies between Indigenous and non-Indigenous Australians: a burden of disease and injury study.

Background: The gaps in healthy life expectancy (HLE) between Indigenous and non-Indigenous Australians are significant. Detailed and accurate information is required to develop strategies that will close these health disparities. This paper aims to quantify and compare the causes and their relative contributions to the life expectancy (LE) gaps between the Indigenous and non-Indigenous population in the Northern Territory (NT), Australia.

Methods: The age-cause decomposition was used to analyse the differences in HLE and unhealthy life expectancy (ULE), where LE = HLE + ULE. The data was sourced from the burden of disease and injury study in the NT between 2014 and 2018.

Results: In 2014-2018, the HLE at birth in the NT Indigenous population was estimated at 43.3 years in males and 41.4 years in females, 26.5 and 33.5 years shorter than the non-Indigenous population. This gap approximately doubled the LE gap (14.0 years in males, 16.6 years in females) at birth. In contrast to LE and HLE, ULE at birth was longer in the Indigenous than non-Indigenous population. The leading causes of the ULE gap at birth were endocrine conditions (explaining 2.9-4.4 years, 23-26%), followed by mental conditions in males and musculoskeletal conditions in females (1.92 and 1.94 years, 15% and 12% respectively), markedly different from the causes of the LE gap (cardiovascular disease, cancers and unintentional injury).

Conclusions: The ULE estimates offer valuable insights into the patterns of morbidity particularly useful in terms of primary and secondary prevention.

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来源期刊
Population Health Metrics
Population Health Metrics PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH-
CiteScore
6.50
自引率
0.00%
发文量
21
审稿时长
29 weeks
期刊介绍: Population Health Metrics aims to advance the science of population health assessment, and welcomes papers relating to concepts, methods, ethics, applications, and summary measures of population health. The journal provides a unique platform for population health researchers to share their findings with the global community. We seek research that addresses the communication of population health measures and policy implications to stakeholders; this includes papers related to burden estimation and risk assessment, and research addressing population health across the full range of development. Population Health Metrics covers a broad range of topics encompassing health state measurement and valuation, summary measures of population health, descriptive epidemiology at the population level, burden of disease and injury analysis, disease and risk factor modeling for populations, and comparative assessment of risks to health at the population level. The journal is also interested in how to use and communicate indicators of population health to reduce disease burden, and the approaches for translating from indicators of population health to health-advancing actions. As a cross-cutting topic of importance, we are particularly interested in inequalities in population health and their measurement.
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