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Multimorbidity Analysis According to Sex and Age towards Cardiovascular Diseases of Adults in Northeast China
Non-communicable diseases (NCDs) are great challenges in public health, where cardiovascular diseases (CVD) accounted for the large part of mortality that caused by NCDs. Multimorbidity is very common in NCDs especially in CVD, thus multimorbidity could make NCDs worse and bring heavy economic burde...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5988667/ https://www.ncbi.nlm.nih.gov/pubmed/29872063 http://dx.doi.org/10.1038/s41598-018-25561-y |
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author | Jin, Lina Guo, Xin Dou, Jing Liu, Binghui Wang, Jiangzhou Li, Jiagen Sun, Mengzi Sun, Chong Yu, Yaqin Yao, Yan |
author_facet | Jin, Lina Guo, Xin Dou, Jing Liu, Binghui Wang, Jiangzhou Li, Jiagen Sun, Mengzi Sun, Chong Yu, Yaqin Yao, Yan |
author_sort | Jin, Lina |
collection | PubMed |
description | Non-communicable diseases (NCDs) are great challenges in public health, where cardiovascular diseases (CVD) accounted for the large part of mortality that caused by NCDs. Multimorbidity is very common in NCDs especially in CVD, thus multimorbidity could make NCDs worse and bring heavy economic burden. This study aimed to explore the multimorbidity among adults, especially the important role of CVD that played in the entire multimorbidity networks. A total of 21435 participants aged 18–79 years old were recruited in Jilin province in 2012. Weighted networks were adopted to present the complex relationships of multimorbidity, and Charlson Comorbidity Index (CCI) was used to evaluate the burden of multimorbidity. The prevalence of CVD was 14.97%, where the prevalence in females was higher than that in males (P < 0.001), and the prevalences of CVD increased with age (from 2.22% to 38.38%). The prevalence of multimorbidity with CVD was 96.17%, and CVD could worsen the burden of multimorbidity. Multimorbidity and multimorbidity with CVD were more marked in females than those in males. And the prevalence of multimorbidity was the highest in the middle-age, while the prevalence of multimorbidity with CVD was the highest in the old population. |
format | Online Article Text |
id | pubmed-5988667 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-59886672018-06-20 Multimorbidity Analysis According to Sex and Age towards Cardiovascular Diseases of Adults in Northeast China Jin, Lina Guo, Xin Dou, Jing Liu, Binghui Wang, Jiangzhou Li, Jiagen Sun, Mengzi Sun, Chong Yu, Yaqin Yao, Yan Sci Rep Article Non-communicable diseases (NCDs) are great challenges in public health, where cardiovascular diseases (CVD) accounted for the large part of mortality that caused by NCDs. Multimorbidity is very common in NCDs especially in CVD, thus multimorbidity could make NCDs worse and bring heavy economic burden. This study aimed to explore the multimorbidity among adults, especially the important role of CVD that played in the entire multimorbidity networks. A total of 21435 participants aged 18–79 years old were recruited in Jilin province in 2012. Weighted networks were adopted to present the complex relationships of multimorbidity, and Charlson Comorbidity Index (CCI) was used to evaluate the burden of multimorbidity. The prevalence of CVD was 14.97%, where the prevalence in females was higher than that in males (P < 0.001), and the prevalences of CVD increased with age (from 2.22% to 38.38%). The prevalence of multimorbidity with CVD was 96.17%, and CVD could worsen the burden of multimorbidity. Multimorbidity and multimorbidity with CVD were more marked in females than those in males. And the prevalence of multimorbidity was the highest in the middle-age, while the prevalence of multimorbidity with CVD was the highest in the old population. Nature Publishing Group UK 2018-06-05 /pmc/articles/PMC5988667/ /pubmed/29872063 http://dx.doi.org/10.1038/s41598-018-25561-y Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Jin, Lina Guo, Xin Dou, Jing Liu, Binghui Wang, Jiangzhou Li, Jiagen Sun, Mengzi Sun, Chong Yu, Yaqin Yao, Yan Multimorbidity Analysis According to Sex and Age towards Cardiovascular Diseases of Adults in Northeast China |
title | Multimorbidity Analysis According to Sex and Age towards Cardiovascular Diseases of Adults in Northeast China |
title_full | Multimorbidity Analysis According to Sex and Age towards Cardiovascular Diseases of Adults in Northeast China |
title_fullStr | Multimorbidity Analysis According to Sex and Age towards Cardiovascular Diseases of Adults in Northeast China |
title_full_unstemmed | Multimorbidity Analysis According to Sex and Age towards Cardiovascular Diseases of Adults in Northeast China |
title_short | Multimorbidity Analysis According to Sex and Age towards Cardiovascular Diseases of Adults in Northeast China |
title_sort | multimorbidity analysis according to sex and age towards cardiovascular diseases of adults in northeast china |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5988667/ https://www.ncbi.nlm.nih.gov/pubmed/29872063 http://dx.doi.org/10.1038/s41598-018-25561-y |
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