Depressive disorders in Brazil: results from the Global Burden of Disease Study 2017.

IF 3.2 2区医学 Q2 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH

Population Health Metrics Pub Date : 2020-09-30 DOI:10.1186/s12963-020-00204-5

Cecília Silva Costa Bonadiman, Deborah Carvalho Malta, Valéria Maria de Azeredo Passos, Mohsen Naghavi, Ana Paula Souto Melo

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引用次数: 21

Abstract

Background: Depression is one of the major causes of disability worldwide. The objective of this study was to analyze the results of the Global Burden of Disease Study 2017 (GBD-2017) for depressive disorders in Brazil and its Federated Units (FUs) in 1990 and 2017.

Methods: We used GBD-2017 study methodology to evaluate the prevalence estimates, the disability-adjusted life-year (DALY), and the years lived with disability (YLDs) for depressive disorders, which include major depressive disorder and dysthymia. The YLD estimates and the position of these disorders in the DALY and YLD rankings were compared to those of seven other countries. The observed versus expected YLD, based on the sociodemographic index (SDI), were compared.

Results: In GBD-2017, the prevalence of depressive disorders in Brazil was 3.30% (95% uncertainty interval [UI]: 3.08 to 3.57), ranging from 3.79% (3.53 to 4.09) in Santa Catarina to 2.78% in Pará (2.56 to 3.03), with significant differences between the Federated Units. From 1990 to 2017, there was an increase in number of YLD (55.19%, 49.57 to 60.73), but a decrease in the age-standardized rates (- 9.01%, - 11.66 to - 6.31). The highest proportion of YLD was observed in the age range of 15-64 years and among females. These disorders rank 4th and 13th as leading causes of YLD and DALY, respectively, in Brazil. In the other countries evaluated, the ranking of these disorders in the YLD classification was close to Brazil's, while in the DALY classification, there was higher variability. All countries had YLD rates similar to the overall rate. The observed/expected YLD ratio ranged from 0.81 in Pará to 1.16 in Santa Catarina. Morbidity of depressive disorders was not associated with SDI.

Conclusions: Depressive disorders have been responsible for a high disability burden since 1990, especially in adult women living in the Southern region of the country. The number of people affected by these disorders in the country tends to increase, requiring more investment in mental health aimed at advancements and quality of services. The epidemiological studies of these disorders throughout the national territory can contribute to this planning and to making the Brazilian health system more equitable.

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巴西抑郁症:2017年全球疾病负担研究结果

背景:抑郁症是世界范围内致残的主要原因之一。本研究的目的是分析1990年和2017年巴西及其联邦单位(FUs)抑郁症的2017年全球疾病负担研究(GBD-2017)的结果。方法:采用GBD-2017研究方法评估抑郁症(包括重度抑郁症和心境恶劣)的患病率估计、残疾调整生命年(DALY)和残疾生活年(YLDs)。将这些疾病在伤残调整年和伤残调整年排名中的估计和位置与其他七个国家进行了比较。根据社会人口指数(SDI)，比较观察到的YLD和预期的YLD。结果:在GBD-2017中，巴西的抑郁症患病率为3.30%(95%不确定区间[UI]: 3.08 ~ 3.57)，从圣卡塔琳娜州的3.79%(3.53 ~ 4.09)到帕尔州的2.78%(2.56 ~ 3.03)，联邦单位之间存在显著差异。1990 - 2017年，年龄标准化率下降(- 9.01%，- 11.66 - - 6.31)，年龄标准化率上升(- 55.19%，49.57 - 60.73);在15-64岁年龄组和女性中，YLD的比例最高。在巴西，这两种疾病分别排在YLD和DALY的第4位和第13位。在评估的其他国家中，这些疾病在YLD分类中的排名与巴西接近，而在DALY分类中则有更高的变异性。所有国家的YLD比率都与总体比率相似。观察到的/预期的YLD比率从帕尔的0.81到圣卡塔琳娜的1.16不等。抑郁症的发病率与SDI无关。结论:自1990年以来，抑郁症一直是造成高残疾负担的原因，特别是生活在该国南部地区的成年妇女。该国受这些疾病影响的人数趋于增加，需要在精神卫生方面进行更多投资，以提高服务水平和质量。在全国范围内对这些疾病进行流行病学研究可有助于这一规划并使巴西卫生系统更加公平。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Population Health Metrics PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH-

CiteScore

6.50

自引率

0.00%

发文量

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.