ArticleFrontiers in public health2021
The Relationship Between Socio-Demographic Factors and Tuberculosis Mortality in the Republic of Korea During 2008-2017.
Article in Frontiers in public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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6 citing papers in PubMed.
- Impact of multiple consultations and switching in treatment-seeking in tuberculosis: Mathematical modelling and optimal control.PloS one · 2025Article
- The risk of developing depression in tuberculosis survivors: a nationwide cohort study in South Korea.Frontiers in psychiatry · 2025Article
- Timing and predictors of death during treatment in patients with multidrug/rifampin-resistant tuberculosis in South Korea.The Korean journal of internal medicine · 2024Article
- First detection of bovine tuberculosis by Ziehl-Neelsen staining and polymerase chain reaction at dairy farms in the Lekok Sub-District, Pasuruan Regency, and Surabaya region, Indonesia.Veterinary world · 2024Article
- Global, regional, and national burden of HIV and tuberculosis and predictions by Bayesian age-period-cohort analysis: a systematic analysis for the global burden of disease study 2021.Frontiers in reproductive health · 2024Article
- Predictors of mortality and survival probability distribution among patients on tuberculosis treatment in Vihiga County, Kenya.African health sciences · 2023Article
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Authors and funding
7 authors.
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Abstract
The Republic of Korea has a high incidence of tuberculosis (TB) and TB-specific mortality rate. In 2019, it had the second highest TB-specific mortality among Organization for Economic Co-operation and Development countries. Understanding the factors associated with TB-specific deaths may help eradicate the disease. Therefore, we aimed to identify the general characteristics associated with TB-specific mortality among Koreans. Using Causes of Death Statistics data from Statistics Korea, we assessed the year of death, sex, age, occupation, area of residence, marital status, and education level reported between 2008 and 2017. Patient characteristics associated with TB-specific deaths were analyzed using the Chi-squared test, while influencing factors of TB-specific mortality were analyzed using logistic regression analysis to calculate adjusted odds ratios (AOR). Female (AOR: 0.509, 95% CI: 0.493-0.526), those with a graduate degree or higher (AOR: 0.559, 95% CI: 0.474-0.660) had lower TB-specific mortality rates than those of their counterparts. Conversely, those aged ≥70 years (AOR: 1.239, 95% CI: 1.199-1.280), single (AOR: 1.355, 95% CI: 1.315-1.396), and skilled agricultural, forestry, and fishery workers (AOR: 1.441, 95% CI: 1.359-1.529) had higher TB-specific mortality rates than those of their counterparts. In conclusion, TB-specific mortality rates differed according to the characteristics of the deceased patients. In order to establish effective TB control, multisectoral action on broader determinants should be strengthened.
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