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Background: This study investigated fundamental demographic variables within the Taiwan Biobank (TWBB) and compared them with national demographic statistics. Additionally, a matched cohort analysis compared TWBB participants with nonparticipants to uncover disparities in sociodemographic and clinical characteristics.
Methods: A total of 128,663 individuals aged 30 to 70 years without cancer were recruited within the TWBB, and 514,652 nonparticipants matched by age and sex were randomly selected from the National Health Insurance claims database. Sociodemographic variables, healthcare utilization metrics, underlying medical conditions, and subsequent mortality and cancer risk were analyzed.
Results: TWBB participants were more likely to be female, older, married, higher educated, with higher incomes, and urban residency. Healthcare utilization metrics showed minimal differences. Pre-cohort entry, TWBB participants had a higher prevalence of certain medical conditions, such as peptic ulcer disease, osteoarthritis, osteoporosis, and uterine leiomyoma in females. During follow-up periods, elevated mortality rates were observed among TWBB participants but decreased cancer risk.
Conclusion: The TWBB cohort exhibits disparities in sociodemographic and health-related attributes compared to the general population, comprising participants who were older, female, married, higher educated, higher income, and predominantly resided in urban areas. While mortality rates are slightly elevated within the TWBB cohort, cancer incidence rates are lower. Despite limitations in representativeness, the TWBB's size and exposure measures offer valuable insights into associations between exposures and health conditions.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11882352 | PMC |
http://dx.doi.org/10.2188/jea.JE20240297 | DOI Listing |
J Epidemiol
April 2025
National Center for Geriatrics and Welfare Research, National Health Research Institutes.
J Epidemiol
March 2025
National Center for Geriatrics and Welfare Research, National Health Research Institutes.
Background: This study aimed to validate self-reported medical conditions in the Taiwan Biobank (TWBB), in which participants were inquired about 30 disease conditions, by comparing them with claims records from Taiwan's National Health Insurance (NHI) claims database.
Methods: We identified 30 clinical diagnoses using International Classification of Diseases - Clinical Modification codes from ambulatory and hospital claims within the NHI claims database, matching diseases included in the TWBB. The concordance between self-reports and claims records was evaluated using tetrachoric correlation to assess the correlation between binary variables.
Schizophrenia (Heidelb)
September 2022
Department of Occupational Safety and Health, College of Public Health, China Medical University, Taichung, Taiwan.