Cargando…
Patterns of Systemic Disease Diagnoses among Medical Professionals in Taiwan: Statistical Analysis and Data Mining
Introduction: Although high-risk work environments and heavy workload expose medical professionals to long-term risks of disease, no comprehensive analysis has been conducted on the corresponding risks of diseases to each type of medical professionals. This study pre-analyzed the risks of medical pr...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9657375/ https://www.ncbi.nlm.nih.gov/pubmed/36360897 http://dx.doi.org/10.3390/ijerph192114017 |
_version_ | 1784829678271332352 |
---|---|
author | Ma, Kai-Jie Hung, Jui-Lien Chou, Ming-Hsien Wang, Jong-Yi |
author_facet | Ma, Kai-Jie Hung, Jui-Lien Chou, Ming-Hsien Wang, Jong-Yi |
author_sort | Ma, Kai-Jie |
collection | PubMed |
description | Introduction: Although high-risk work environments and heavy workload expose medical professionals to long-term risks of disease, no comprehensive analysis has been conducted on the corresponding risks of diseases to each type of medical professionals. This study pre-analyzed the risks of medical professionals in developing various systemic diseases in Taiwan to provide a comprehensive examination of the differences between each type of systemic disease. Methods: From the secondary databases of 2002–2013, 15,407 medical professionals were selected for analysis. A chi-squared test and logistic regression were performed to identify the relationship between types of medical professionals and systemic diseases. The life trajectories of diagnosis sequence of the medical professionals were illustrated accordingly. Results: The physicians were the most vulnerable to infectious, parasitic, and digestive diseases. This was possibly associated with their work characteristics and occupational risks. Conclusion: According to the life trajectories, all types of the medical professionals exhibited a similar trend in the orders of risks to each type of systemic disease, which suggests that their work environment exposes them to real risks of health hazard. |
format | Online Article Text |
id | pubmed-9657375 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-96573752022-11-15 Patterns of Systemic Disease Diagnoses among Medical Professionals in Taiwan: Statistical Analysis and Data Mining Ma, Kai-Jie Hung, Jui-Lien Chou, Ming-Hsien Wang, Jong-Yi Int J Environ Res Public Health Article Introduction: Although high-risk work environments and heavy workload expose medical professionals to long-term risks of disease, no comprehensive analysis has been conducted on the corresponding risks of diseases to each type of medical professionals. This study pre-analyzed the risks of medical professionals in developing various systemic diseases in Taiwan to provide a comprehensive examination of the differences between each type of systemic disease. Methods: From the secondary databases of 2002–2013, 15,407 medical professionals were selected for analysis. A chi-squared test and logistic regression were performed to identify the relationship between types of medical professionals and systemic diseases. The life trajectories of diagnosis sequence of the medical professionals were illustrated accordingly. Results: The physicians were the most vulnerable to infectious, parasitic, and digestive diseases. This was possibly associated with their work characteristics and occupational risks. Conclusion: According to the life trajectories, all types of the medical professionals exhibited a similar trend in the orders of risks to each type of systemic disease, which suggests that their work environment exposes them to real risks of health hazard. MDPI 2022-10-27 /pmc/articles/PMC9657375/ /pubmed/36360897 http://dx.doi.org/10.3390/ijerph192114017 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Ma, Kai-Jie Hung, Jui-Lien Chou, Ming-Hsien Wang, Jong-Yi Patterns of Systemic Disease Diagnoses among Medical Professionals in Taiwan: Statistical Analysis and Data Mining |
title | Patterns of Systemic Disease Diagnoses among Medical Professionals in Taiwan: Statistical Analysis and Data Mining |
title_full | Patterns of Systemic Disease Diagnoses among Medical Professionals in Taiwan: Statistical Analysis and Data Mining |
title_fullStr | Patterns of Systemic Disease Diagnoses among Medical Professionals in Taiwan: Statistical Analysis and Data Mining |
title_full_unstemmed | Patterns of Systemic Disease Diagnoses among Medical Professionals in Taiwan: Statistical Analysis and Data Mining |
title_short | Patterns of Systemic Disease Diagnoses among Medical Professionals in Taiwan: Statistical Analysis and Data Mining |
title_sort | patterns of systemic disease diagnoses among medical professionals in taiwan: statistical analysis and data mining |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9657375/ https://www.ncbi.nlm.nih.gov/pubmed/36360897 http://dx.doi.org/10.3390/ijerph192114017 |
work_keys_str_mv | AT makaijie patternsofsystemicdiseasediagnosesamongmedicalprofessionalsintaiwanstatisticalanalysisanddatamining AT hungjuilien patternsofsystemicdiseasediagnosesamongmedicalprofessionalsintaiwanstatisticalanalysisanddatamining AT chouminghsien patternsofsystemicdiseasediagnosesamongmedicalprofessionalsintaiwanstatisticalanalysisanddatamining AT wangjongyi patternsofsystemicdiseasediagnosesamongmedicalprofessionalsintaiwanstatisticalanalysisanddatamining |