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Illness prevalence rate in Tibet, China: data from the 2018 National Health Service Survey
BACKGROUND: Tibet is located in the high-altitude area of Southwest China, where the health level is influenced by specific factors such as the natural environment and living habits. However, there has been little research that has focused on Tibetan health conditions. The two-week prevalence rate i...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7302388/ https://www.ncbi.nlm.nih.gov/pubmed/32552694 http://dx.doi.org/10.1186/s12889-020-08960-7 |
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author | Deng, Rendan Labasangzhu Zhaxideji Wang, Guihua Hong, Peiwei Li, Jiaqi Li, Qiwen Wan, Yang Xiong, Hai |
author_facet | Deng, Rendan Labasangzhu Zhaxideji Wang, Guihua Hong, Peiwei Li, Jiaqi Li, Qiwen Wan, Yang Xiong, Hai |
author_sort | Deng, Rendan |
collection | PubMed |
description | BACKGROUND: Tibet is located in the high-altitude area of Southwest China, where the health level is influenced by specific factors such as the natural environment and living habits. However, there has been little research that has focused on Tibetan health conditions. The two-week prevalence rate is an important indicator of the health level of residents. The purpose of this study was to understand the health status of the residents and the health service needs in Tibet. METHODS: The two-week prevalence rate was calculated using data from a population of 10,493 individuals aged 15 and above that was obtained from the 2018 Sixth National Health Service Survey of Tibet. We initially analysed the types and associated factors of two-week illnesses in Tibetan. The influencing factors for the two-week prevalence rate in Tibet were determined by multivariate logistic regression analysis. Subsequently, we assessed the severity of two-week illnesses by calculating the average days of the duration of the disease, the days of being bedridden and the days of being off work. RESULTS: The two-week illness prevalence rate was 20.1% in Tibet. Digestive system diseases were frequent, and hypertension was the most common disease. According to the multivariate logistic regression analysis, the two-week prevalence rate was associated with gender, age, residence, marital status, and employment status. In addition, the severity of two-week illnesses differed among the residents. CONCLUSION: This study identified that health service needs have increased in Tibet and that the health status of the local residents needs to be improved. Moreover, hypertension has become a major health hazard for the residents and should be considered in the utilization of health services. |
format | Online Article Text |
id | pubmed-7302388 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-73023882020-06-19 Illness prevalence rate in Tibet, China: data from the 2018 National Health Service Survey Deng, Rendan Labasangzhu Zhaxideji Wang, Guihua Hong, Peiwei Li, Jiaqi Li, Qiwen Wan, Yang Xiong, Hai BMC Public Health Research Article BACKGROUND: Tibet is located in the high-altitude area of Southwest China, where the health level is influenced by specific factors such as the natural environment and living habits. However, there has been little research that has focused on Tibetan health conditions. The two-week prevalence rate is an important indicator of the health level of residents. The purpose of this study was to understand the health status of the residents and the health service needs in Tibet. METHODS: The two-week prevalence rate was calculated using data from a population of 10,493 individuals aged 15 and above that was obtained from the 2018 Sixth National Health Service Survey of Tibet. We initially analysed the types and associated factors of two-week illnesses in Tibetan. The influencing factors for the two-week prevalence rate in Tibet were determined by multivariate logistic regression analysis. Subsequently, we assessed the severity of two-week illnesses by calculating the average days of the duration of the disease, the days of being bedridden and the days of being off work. RESULTS: The two-week illness prevalence rate was 20.1% in Tibet. Digestive system diseases were frequent, and hypertension was the most common disease. According to the multivariate logistic regression analysis, the two-week prevalence rate was associated with gender, age, residence, marital status, and employment status. In addition, the severity of two-week illnesses differed among the residents. CONCLUSION: This study identified that health service needs have increased in Tibet and that the health status of the local residents needs to be improved. Moreover, hypertension has become a major health hazard for the residents and should be considered in the utilization of health services. BioMed Central 2020-06-18 /pmc/articles/PMC7302388/ /pubmed/32552694 http://dx.doi.org/10.1186/s12889-020-08960-7 Text en © The Author(s) 2020 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/. The Creative Commons Public Domain Dedication waiver (http://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 Deng, Rendan Labasangzhu Zhaxideji Wang, Guihua Hong, Peiwei Li, Jiaqi Li, Qiwen Wan, Yang Xiong, Hai Illness prevalence rate in Tibet, China: data from the 2018 National Health Service Survey |
title | Illness prevalence rate in Tibet, China: data from the 2018 National Health Service Survey |
title_full | Illness prevalence rate in Tibet, China: data from the 2018 National Health Service Survey |
title_fullStr | Illness prevalence rate in Tibet, China: data from the 2018 National Health Service Survey |
title_full_unstemmed | Illness prevalence rate in Tibet, China: data from the 2018 National Health Service Survey |
title_short | Illness prevalence rate in Tibet, China: data from the 2018 National Health Service Survey |
title_sort | illness prevalence rate in tibet, china: data from the 2018 national health service survey |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7302388/ https://www.ncbi.nlm.nih.gov/pubmed/32552694 http://dx.doi.org/10.1186/s12889-020-08960-7 |
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