中国湖北省196个健康状态最新估计的残疾体重。

IF 3.2 2区 医学 Q2 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Mengge Zhou, Lan Zhang, Tianjing He, Shuzhen Zhu, Yumeng Tang, Qian Li, Miaoyan Shen, Jingju Pan
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引用次数: 0

摘要

背景:残障重(DW)反映了非致命性结局的严重程度,是计算疾病负担的重要参数。然而,全球、国家或国家以下级别的DWs的普遍性仍然存在争议。本研究的目的是利用非参数回归来锚定湖北省特有的DWs。方法:采用湖北省以普通人群为对象的网络调查数据进行配对比较(PC),估计196个健康状态的DWs。具体而言,通过probit回归分析33,925名受访者的PC数据,然后根据2013年全球疾病负担(GBD)的DWs使用非参数回归将结果锚定在0-1的范围内。将绝对DW值和排名与中国残疾体重测量研究、GBD 2013和日本进行比较。结果:湖北省196种健康状态的DWs从轻度远视障碍的0.003到严重海洛因和阿片类药物依赖的0.663不等。在湖北居民中,有相当多的精神障碍,如中度/重度重度抑郁症发作,被认为比服药/不服药的末期更严重。无论采用何种锚定方法,湖北省的健康状态DW排名都相对稳定。与我们的结果相比,中国的DW排名变化10个或更多的比例非常小(1962%中的4个),但在2013年的GBD中约为61%,在日本为59%。在本研究中排名前25位的健康状态中,被归类为精神、行为和物质使用障碍的11个健康状态中有9个在GBD 2013中排名较低,日本的所有6个州的排名也较低,而中国的排名相似。结论:湖北省居民的精神障碍负担,尤其是中重度抑郁症,值得进一步关注。在不同锚定方法下,湖北DW排名保持相对稳定,而不是保持绝对值。我们的结果与中国、GBD 2013和日本的DW排名存在巨大差异,这引起了人们对在疾病负担计算中推导当地残疾的必要性的关注。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Newly estimated disability weights for 196 health states in Hubei Province, China.

Background: The disability weight (DW) reflects the severity of non-fatal outcomes and is an important parameter in calculating the burden of disease. However, the universality of the global, national, or subnational DWs remains controversial. This study aims to measure DWs specific to Hubei Province of China using non-parametric regression to anchor the DWs.

Methods: Paired comparison (PC) data collected from a web-based survey in Hubei Province targeting the general population were used to estimate the DWs of 196 health states. Specifically, PC data from 33,925 respondents were analyzed by probit regression analysis, and the results were then anchored to 0-1 scale using non-parametric regression based on the DWs from Global Burden of Disease (GBD) 2013. The absolute DW values and rankings were compared to those in the Chinese disability weight measurement study, GBD 2013, and Japan.

Results: The DWs for 196 health states ranged from 0.003 for mild distance vision impairment to 0.663 for severe heroin and opioid dependence in Hubei Province, China. Quite a lot mental disorders, such as moderate/severe episode of major depressive disorder, were considered more severe than the terminal phase with/without medication among Hubei residents. DW rankings of the health states are relatively stable in Hubei Province irrespective of the anchoring method used. A very small proportion (4 of 196, 2%) of DW rankings changed by 10 or more positions in China when compared with our results, but approximately 61% in GBD 2013 and 59% in Japan. Among the top 25 health states in this study, 9 of 11 health states categorized as mental, behavioral, and substance use disorders resulted in a lower ranking in GBD 2013, and all 6 states in Japan also showed a lower ranking, whereas China shared a similar ranking.

Conclusions: The burden of mental disorders among Hubei residents, especially moderate or severe major depressive disorder, deserves further attention. When using different anchoring methods, DW rankings were maintained relatively stable rather than the absolute values in Hubei. Substantial differences of DW rankings between our results and that in China, GBD 2013, and Japan draw attention to the need for deriving local disability for disease burden calculation.

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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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