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与抑郁发作死亡率相关的趋势和因素:对疾病控制与预防中心广泛在线流行病学研究数据(WONDER)数据库的分析

Trends and Factors Associated With the Mortality Rate of Depressive Episodes: An Analysis of the CDC Wide-Ranging Online Data for Epidemiological Research (WONDER) Database.

作者信息

Patel Radhey, Arisoyin Abimbola E, Okoronkwo Obiaku U, Aruoture Shaw, Okobi Okelue E, Nwankwo Mirian, Okobi Emeka, Okobi Francis, Momodu Oshoriamhe Elisha

机构信息

Psychiatry and Behavioral Sciences, Avalon University School of Medicine, Willemstad, CUW.

Internal Medicine, College of Medicine, University of Lagos, Lagos, NGA.

出版信息

Cureus. 2023 Jul 10;15(7):e41627. doi: 10.7759/cureus.41627. eCollection 2023 Jul.

DOI:10.7759/cureus.41627
PMID:37565131
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10410604/
Abstract

Background Depressive episodes are associated with increased mortality rates across the United States. Recognizing the relationship between depression and physical health, understanding the contributing factors, and addressing disparities are critical in reducing mortality rates and improving the overall well-being of individuals experiencing depressive episodes. Continued research, public health efforts, and collaborative approaches are essential to tackle this complex public health concern effectively. Studying the mortality rate trends of depressive episodes along with other related factors will help enhance the understanding of the condition, which, in turn, will assist in reducing mortality rates in the vulnerable population. Methodology Data from the CDC Wide-Ranging Online Data for Epidemiologic Research (WONDER) database on the Underlying Cause of Death were examined to identify individuals who experienced fatal outcomes related to depressive episodes from 1999 to 2020. The WONDER database refers to the online system used by the CDC to make its various resources accessible to the public and public health experts. CDC WONDER offers access to a broader range of information on public health. Results A total of 13,290 individuals who died from depressive episodes between 1999 and 2020 were identified. Data analysis revealed an overall mortality rate of 0.20 per 100,000 individuals during the specified period. The highest mortality rates were observed in the years 2003 (0.28), 2001 (0.27), and 1999 (0.27). The analysis revealed significant disparities in mortality rates among different demographic groups. Older adults, females, specific racial groups, including Whites and African Americans, and specific geographic areas, including the Midwest, Northeast, South, and West, exhibited higher mortality rates associated with depressive episodes. Conclusions The study identified that older individuals, females, Whites, and African Americans, as well as certain geographic regions, exhibited an increased likelihood of mortality related to depressive episodes. These findings highlight the importance of understanding the complex interplay between mental health and mortality. The findings emphasize the importance of addressing disparities in mental health outcomes among different demographic groups. Identifying vulnerable populations can inform targeted interventions and resources to address the elevated mortality risk.

摘要

背景

在美国,抑郁发作与死亡率上升相关。认识到抑郁与身体健康之间的关系、理解促成因素并解决差异问题,对于降低死亡率和改善经历抑郁发作的个体的整体福祉至关重要。持续的研究、公共卫生努力和协作方法对于有效应对这一复杂的公共卫生问题至关重要。研究抑郁发作的死亡率趋势以及其他相关因素将有助于加深对该病症的理解,进而有助于降低弱势群体的死亡率。

方法

对疾病控制与预防中心(CDC)广泛在线流行病学研究数据(WONDER)数据库中关于死亡根本原因的数据进行了检查,以确定1999年至2020年期间经历与抑郁发作相关的致命后果的个体。WONDER数据库是指CDC用于使其各种资源可供公众和公共卫生专家使用的在线系统。CDC WONDER提供了更广泛的公共卫生信息。

结果

在1999年至2020年期间,共识别出13290名死于抑郁发作的个体。数据分析显示,在指定期间,总体死亡率为每10万人中有0.20人。在2003年(0.28)、2001年(0.27)和1999年(0.27)观察到最高死亡率。分析揭示了不同人口群体之间死亡率的显著差异。老年人、女性、特定种族群体,包括白人和非裔美国人,以及特定地理区域,包括中西部、东北部、南部和西部,与抑郁发作相关的死亡率较高。

结论

该研究确定,老年人、女性、白人和非裔美国人以及某些地理区域与抑郁发作相关的死亡可能性增加。这些发现凸显了理解心理健康与死亡率之间复杂相互作用的重要性。这些发现强调了解决不同人口群体心理健康结果差异的重要性。识别弱势群体可为针对性干预措施和资源提供信息,以应对升高的死亡风险。

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