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Temporal trajectories of important diseases in the life course and premature mortality in the UK Biobank
BACKGROUND: Little is known regarding life-course trajectories of important diseases. We aimed to identify diseases that were strongly associated with mortality and test temporal trajectories of these diseases before mortality. METHODS: Our analysis was based on UK Biobank. Diseases were identified...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9137080/ https://www.ncbi.nlm.nih.gov/pubmed/35619136 http://dx.doi.org/10.1186/s12916-022-02384-3 |
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author | Shang, Xianwen Zhang, Xueli Huang, Yu Zhu, Zhuoting Zhang, Xiayin Liu, Shunming Liu, Jiahao Tang, Shulin Wang, Wei Yu, Honghua Ge, Zongyuan He, Mingguang |
author_facet | Shang, Xianwen Zhang, Xueli Huang, Yu Zhu, Zhuoting Zhang, Xiayin Liu, Shunming Liu, Jiahao Tang, Shulin Wang, Wei Yu, Honghua Ge, Zongyuan He, Mingguang |
author_sort | Shang, Xianwen |
collection | PubMed |
description | BACKGROUND: Little is known regarding life-course trajectories of important diseases. We aimed to identify diseases that were strongly associated with mortality and test temporal trajectories of these diseases before mortality. METHODS: Our analysis was based on UK Biobank. Diseases were identified using questionnaires, nurses’ interviews, or inpatient data. Mortality register data were used to identify mortality up to January 2021. The association between 60 individual diseases at baseline and in the life course and incident mortality was examined using Cox proportional regression models. Those diseases with great contribution to mortality were identified and disease trajectories in life course were then derived. RESULTS: During a median follow-up of 11.8 years, 31,373 individuals (median age at death (interquartile range): 70.7 (65.3–74.8) years, 59.4% male) died of all-cause mortality (with complete data on diagnosis date of disease), with 16,237 dying with cancer and 6702 with cardiovascular disease (CVD). We identified 37 diseases including cancers and heart diseases that were associated with an increased risk of mortality independent of other diseases (hazard ratio ranged from 1.09 to 7.77). Among those who died during follow-up, 2.2% did not have a diagnosis of any disease of interest and 90.1% were diagnosed with two or more diseases in their life course. Individuals who were diagnosed with more diseases in their life course were more likely to have longer longevity. Cancer was more likely to be diagnosed following hypertension, hypercholesterolemia, CVD, or digestive disorders and more likely to be diagnosed ahead of CVD, chronic kidney disease (CKD), or digestive disorders. CVD was more likely to be diagnosed following hypertension, hypercholesterolemia, or digestive disorders and more likely to be diagnosed ahead of cancer or CKD. Hypertension was more likely to precede other diseases, and CKD was more likely to be diagnosed as the last disease before more mortality. CONCLUSIONS: There are significant interplays between cancer and CVD for mortality. Cancer and CVD were frequently clustered with hypertension, CKD, and digestive disorders with CKD highly being diagnosed as the last disease in the life course. Our findings underline the importance of health checks among middle-aged adults for the prevention of premature mortality. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12916-022-02384-3. |
format | Online Article Text |
id | pubmed-9137080 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-91370802022-05-28 Temporal trajectories of important diseases in the life course and premature mortality in the UK Biobank Shang, Xianwen Zhang, Xueli Huang, Yu Zhu, Zhuoting Zhang, Xiayin Liu, Shunming Liu, Jiahao Tang, Shulin Wang, Wei Yu, Honghua Ge, Zongyuan He, Mingguang BMC Med Research Article BACKGROUND: Little is known regarding life-course trajectories of important diseases. We aimed to identify diseases that were strongly associated with mortality and test temporal trajectories of these diseases before mortality. METHODS: Our analysis was based on UK Biobank. Diseases were identified using questionnaires, nurses’ interviews, or inpatient data. Mortality register data were used to identify mortality up to January 2021. The association between 60 individual diseases at baseline and in the life course and incident mortality was examined using Cox proportional regression models. Those diseases with great contribution to mortality were identified and disease trajectories in life course were then derived. RESULTS: During a median follow-up of 11.8 years, 31,373 individuals (median age at death (interquartile range): 70.7 (65.3–74.8) years, 59.4% male) died of all-cause mortality (with complete data on diagnosis date of disease), with 16,237 dying with cancer and 6702 with cardiovascular disease (CVD). We identified 37 diseases including cancers and heart diseases that were associated with an increased risk of mortality independent of other diseases (hazard ratio ranged from 1.09 to 7.77). Among those who died during follow-up, 2.2% did not have a diagnosis of any disease of interest and 90.1% were diagnosed with two or more diseases in their life course. Individuals who were diagnosed with more diseases in their life course were more likely to have longer longevity. Cancer was more likely to be diagnosed following hypertension, hypercholesterolemia, CVD, or digestive disorders and more likely to be diagnosed ahead of CVD, chronic kidney disease (CKD), or digestive disorders. CVD was more likely to be diagnosed following hypertension, hypercholesterolemia, or digestive disorders and more likely to be diagnosed ahead of cancer or CKD. Hypertension was more likely to precede other diseases, and CKD was more likely to be diagnosed as the last disease before more mortality. CONCLUSIONS: There are significant interplays between cancer and CVD for mortality. Cancer and CVD were frequently clustered with hypertension, CKD, and digestive disorders with CKD highly being diagnosed as the last disease in the life course. Our findings underline the importance of health checks among middle-aged adults for the prevention of premature mortality. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12916-022-02384-3. BioMed Central 2022-05-27 /pmc/articles/PMC9137080/ /pubmed/35619136 http://dx.doi.org/10.1186/s12916-022-02384-3 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Shang, Xianwen Zhang, Xueli Huang, Yu Zhu, Zhuoting Zhang, Xiayin Liu, Shunming Liu, Jiahao Tang, Shulin Wang, Wei Yu, Honghua Ge, Zongyuan He, Mingguang Temporal trajectories of important diseases in the life course and premature mortality in the UK Biobank |
title | Temporal trajectories of important diseases in the life course and premature mortality in the UK Biobank |
title_full | Temporal trajectories of important diseases in the life course and premature mortality in the UK Biobank |
title_fullStr | Temporal trajectories of important diseases in the life course and premature mortality in the UK Biobank |
title_full_unstemmed | Temporal trajectories of important diseases in the life course and premature mortality in the UK Biobank |
title_short | Temporal trajectories of important diseases in the life course and premature mortality in the UK Biobank |
title_sort | temporal trajectories of important diseases in the life course and premature mortality in the uk biobank |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9137080/ https://www.ncbi.nlm.nih.gov/pubmed/35619136 http://dx.doi.org/10.1186/s12916-022-02384-3 |
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