Purpose: This study aimed to examine secular trends, age-period-cohort effects, and geographical differences in gastric cancer (GC) mortality in Korea. Materials and Methods: Using cause of death data from the Korean Statistical Information Service for GC from 2000 to 2020, we calculated average annual percentage changes (AAPCs) in the age-standardized mortality of GC in 17 cities and provinces through joinpoint regression. Decomposition of age, period, and cohort effects on GC mortality were elucidated by applying a log-linear model and an intrinsic estimate method. Spatial patterns and the degree of spatial clustering in 250 administrative regions were explored via Moran’s I statistics. Stratification by sex was performed for all analyses. Results: The age-standardized mortality of GC per 100,000 persons declined from 29.0 in 2000 to 7.9 in 2020 (AAPC, -6.28%). Age-period-cohort analyses of GC mortality showed a downward trend among five-year age groups from age 20-89 years across five-year periods from 2005-2020 and five-year birth cohorts from 1920-2000. Overall, the younger birth cohort showed lower mortality rates than the older cohort within the same period. In 2020, clusters of high GC mortality were observed in the central area for men (Chungcheongbuk, Jeollabuk, Gyeongsangbuk, and Gyeongsangnam) and in the eastern area for women (Gyeongsangbuk). Conclusion This study identified a downward trend in GC mortality among men and women from 2000 to 2020 in Korea. This trend was mainly attributed to birth cohort rather than period effects. Spatial analysis showed high GC mortality in the Chungcheong and Gyeongsangbuk areas.

Background: The purpose of this study was to evaluate the association of body mass index (BMI) and waist circumference (WC) with the risk of Achilles tendinopathy (AT) or Achilles tendon rupture (ATR), using data from a nationwide population-based cohort.We hypothesized that higher BMI and WC would be independently associated with the increased risk of AT or ATR. In addition, a higher WC may potentiate the association between BMI and the risk of Achilles tendon problems. Methods: We used the National Health Insurance database that covers the entire South Korean population to follow up subjects who participated in the National Health Screening Program (NHSP) from January 2009 to December 2010. The NHSP data include subjects’ BMI, WC, blood test results, blood pressure, and information about lifestyle. Among the subjects, those who were newly diagnosed as having AT or ATR before December 31, 2017, were selected. To examine the association of the variables with the risk of AT or ATR and determine whether the effect of higher BMI varied according to WC, multivariate Cox proportional hazards regression was used. Results: Among a total of 16,830,532 subjects, 125,814 and 31,424 developed AT and ATR, respectively. A higher BMI showed a greater association with the increased risk of ATR than AT (adjusted hazard ratio [HR], 3.49 vs. 1.96). A higher WC was associated with the increased risk of AT (adjusted HR, 1.22), but not ATR. In a separate analysis, the association between BMI and the risk of AT was higher when subjects had higher WC as compared to those with lower WC, being most significant in individuals with both higher BMI and higher WC. Conclusions Higher BMI was more associated with the increased risk of ATR than AT. Moreover, a high central fat distribution played an independent and potentiating role in the development of AT. This implies the greater importance of a high central fat distribution contributing to the development of AT in obese people.

Background: Evaluate the impact of chest X-ray (CXR) screening on mortality and treatment adherence by comparing pulmonary tuberculosis (PTB) cases detected through screening and those routinely diagnosed at healthcare facilities. Methods: A retrospective analysis of 10% randomly sampled National Health Insurance Service claims data assessed PTB cases diagnosed during 2004–2020. Patients were categorized as ‘screening-detected (ACF, active case finding)’ or ‘routinely detected (PCF, passive case finding)’ based on CXR screening history. Cox proportional hazards model determined the association between screening and all-cause or tuberculosis (TB)-specific mortality. Treatment adherence was also measured. Results: Among 84,828 PTB patients, 18.76% were ACF (15,916), and 81.24% were PCF (68,912). ACF exhibited lower risks in all-cause mortality (adjusted hazard ratio [aHR], 0.70;95% confidence interval [CI], 0.67–0.73) and TB-specific mortality (aHR, 0.38; 95% CI, 0.32–0.46) compared to PCF. In the ACF group, 91.39% initiated anti-TB treatment, with 45.99% adherence. For PCF, 92.87% initiated treatment, and only 45.44% were adherent. Conclusion Individuals undergoing CXR screening have a lower risk of both all-cause and TB-specific mortality compared to PCF, but treatment adherence is similar between the two groups, emphasizing the need to improve the linkage between screening, diagnosis, and treatment for the screened population.

Background: Evaluate the impact of chest X-ray (CXR) screening on mortality and treatment adherence by comparing pulmonary tuberculosis (PTB) cases detected through screening and those routinely diagnosed at healthcare facilities. Methods: A retrospective analysis of 10% randomly sampled National Health Insurance Service claims data assessed PTB cases diagnosed during 2004–2020. Patients were categorized as ‘screening-detected (ACF, active case finding)’ or ‘routinely detected (PCF, passive case finding)’ based on CXR screening history. Cox proportional hazards model determined the association between screening and all-cause or tuberculosis (TB)-specific mortality. Treatment adherence was also measured. Results: Among 84,828 PTB patients, 18.76% were ACF (15,916), and 81.24% were PCF (68,912). ACF exhibited lower risks in all-cause mortality (adjusted hazard ratio [aHR], 0.70;95% confidence interval [CI], 0.67–0.73) and TB-specific mortality (aHR, 0.38; 95% CI, 0.32–0.46) compared to PCF. In the ACF group, 91.39% initiated anti-TB treatment, with 45.99% adherence. For PCF, 92.87% initiated treatment, and only 45.44% were adherent. Conclusion Individuals undergoing CXR screening have a lower risk of both all-cause and TB-specific mortality compared to PCF, but treatment adherence is similar between the two groups, emphasizing the need to improve the linkage between screening, diagnosis, and treatment for the screened population.

Background: Evaluate the impact of chest X-ray (CXR) screening on mortality and treatment adherence by comparing pulmonary tuberculosis (PTB) cases detected through screening and those routinely diagnosed at healthcare facilities. Methods: A retrospective analysis of 10% randomly sampled National Health Insurance Service claims data assessed PTB cases diagnosed during 2004–2020. Patients were categorized as ‘screening-detected (ACF, active case finding)’ or ‘routinely detected (PCF, passive case finding)’ based on CXR screening history. Cox proportional hazards model determined the association between screening and all-cause or tuberculosis (TB)-specific mortality. Treatment adherence was also measured. Results: Among 84,828 PTB patients, 18.76% were ACF (15,916), and 81.24% were PCF (68,912). ACF exhibited lower risks in all-cause mortality (adjusted hazard ratio [aHR], 0.70;95% confidence interval [CI], 0.67–0.73) and TB-specific mortality (aHR, 0.38; 95% CI, 0.32–0.46) compared to PCF. In the ACF group, 91.39% initiated anti-TB treatment, with 45.99% adherence. For PCF, 92.87% initiated treatment, and only 45.44% were adherent. Conclusion Individuals undergoing CXR screening have a lower risk of both all-cause and TB-specific mortality compared to PCF, but treatment adherence is similar between the two groups, emphasizing the need to improve the linkage between screening, diagnosis, and treatment for the screened population.

Background: Evaluate the impact of chest X-ray (CXR) screening on mortality and treatment adherence by comparing pulmonary tuberculosis (PTB) cases detected through screening and those routinely diagnosed at healthcare facilities. Methods: A retrospective analysis of 10% randomly sampled National Health Insurance Service claims data assessed PTB cases diagnosed during 2004–2020. Patients were categorized as ‘screening-detected (ACF, active case finding)’ or ‘routinely detected (PCF, passive case finding)’ based on CXR screening history. Cox proportional hazards model determined the association between screening and all-cause or tuberculosis (TB)-specific mortality. Treatment adherence was also measured. Results: Among 84,828 PTB patients, 18.76% were ACF (15,916), and 81.24% were PCF (68,912). ACF exhibited lower risks in all-cause mortality (adjusted hazard ratio [aHR], 0.70;95% confidence interval [CI], 0.67–0.73) and TB-specific mortality (aHR, 0.38; 95% CI, 0.32–0.46) compared to PCF. In the ACF group, 91.39% initiated anti-TB treatment, with 45.99% adherence. For PCF, 92.87% initiated treatment, and only 45.44% were adherent. Conclusion Individuals undergoing CXR screening have a lower risk of both all-cause and TB-specific mortality compared to PCF, but treatment adherence is similar between the two groups, emphasizing the need to improve the linkage between screening, diagnosis, and treatment for the screened population.