Cargando…

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

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 ov...

Descripción completa

Detalles Bibliográficos
Autores principales: Patel, Radhey, Arisoyin, Abimbola E, Okoronkwo, Obiaku U, Aruoture, Shaw, Okobi, Okelue E, Nwankwo, Mirian, Okobi, Emeka, Okobi, Francis, Momodu, Oshoriamhe Elisha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cureus 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10410604/
https://www.ncbi.nlm.nih.gov/pubmed/37565131
http://dx.doi.org/10.7759/cureus.41627
_version_ 1785086495129862144
author Patel, Radhey
Arisoyin, Abimbola E
Okoronkwo, Obiaku U
Aruoture, Shaw
Okobi, Okelue E
Nwankwo, Mirian
Okobi, Emeka
Okobi, Francis
Momodu, Oshoriamhe Elisha
author_facet Patel, Radhey
Arisoyin, Abimbola E
Okoronkwo, Obiaku U
Aruoture, Shaw
Okobi, Okelue E
Nwankwo, Mirian
Okobi, Emeka
Okobi, Francis
Momodu, Oshoriamhe Elisha
author_sort Patel, Radhey
collection PubMed
description 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.
format Online
Article
Text
id pubmed-10410604
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Cureus
record_format MEDLINE/PubMed
spelling pubmed-104106042023-08-10 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 Patel, Radhey Arisoyin, Abimbola E Okoronkwo, Obiaku U Aruoture, Shaw Okobi, Okelue E Nwankwo, Mirian Okobi, Emeka Okobi, Francis Momodu, Oshoriamhe Elisha Cureus Family/General Practice 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. Cureus 2023-07-10 /pmc/articles/PMC10410604/ /pubmed/37565131 http://dx.doi.org/10.7759/cureus.41627 Text en Copyright © 2023, Patel et al. https://creativecommons.org/licenses/by/3.0/This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Family/General Practice
Patel, Radhey
Arisoyin, Abimbola E
Okoronkwo, Obiaku U
Aruoture, Shaw
Okobi, Okelue E
Nwankwo, Mirian
Okobi, Emeka
Okobi, Francis
Momodu, Oshoriamhe Elisha
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
title 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
title_full 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
title_fullStr 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
title_full_unstemmed 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
title_short 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
title_sort 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
topic Family/General Practice
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10410604/
https://www.ncbi.nlm.nih.gov/pubmed/37565131
http://dx.doi.org/10.7759/cureus.41627
work_keys_str_mv AT patelradhey trendsandfactorsassociatedwiththemortalityrateofdepressiveepisodesananalysisofthecdcwiderangingonlinedataforepidemiologicalresearchwonderdatabase
AT arisoyinabimbolae trendsandfactorsassociatedwiththemortalityrateofdepressiveepisodesananalysisofthecdcwiderangingonlinedataforepidemiologicalresearchwonderdatabase
AT okoronkwoobiakuu trendsandfactorsassociatedwiththemortalityrateofdepressiveepisodesananalysisofthecdcwiderangingonlinedataforepidemiologicalresearchwonderdatabase
AT aruotureshaw trendsandfactorsassociatedwiththemortalityrateofdepressiveepisodesananalysisofthecdcwiderangingonlinedataforepidemiologicalresearchwonderdatabase
AT okobiokeluee trendsandfactorsassociatedwiththemortalityrateofdepressiveepisodesananalysisofthecdcwiderangingonlinedataforepidemiologicalresearchwonderdatabase
AT nwankwomirian trendsandfactorsassociatedwiththemortalityrateofdepressiveepisodesananalysisofthecdcwiderangingonlinedataforepidemiologicalresearchwonderdatabase
AT okobiemeka trendsandfactorsassociatedwiththemortalityrateofdepressiveepisodesananalysisofthecdcwiderangingonlinedataforepidemiologicalresearchwonderdatabase
AT okobifrancis trendsandfactorsassociatedwiththemortalityrateofdepressiveepisodesananalysisofthecdcwiderangingonlinedataforepidemiologicalresearchwonderdatabase
AT momoduoshoriamheelisha trendsandfactorsassociatedwiththemortalityrateofdepressiveepisodesananalysisofthecdcwiderangingonlinedataforepidemiologicalresearchwonderdatabase