Objective: We investigated the distribution of AI viruses in fecal samples from wild bird habitats (and nearby poultry-farm areas) surveyed between September and March from 2019 to 2025 and identified associated epidemiological risk factors. Methods: Samples were screened for influenza A (M, H5, H7) genes using real-time reverse transcription polymerase chain reaction (PCR), subjected to virus isolation in embryonated chicken eggs, and subtyped by PCR and sequencing. Host species were identified through DNA barcoding. Relative risks (RRs) with 95% confidence intervals were estimated for province, month, and waterfowl density. Results: Overall prevalence of HPAI and low pathogenic AI (LPAI) virus was 0.10% and 3.21%, respectively. HPAI virus was continuously isolated since 2020–2021, except 2019– 2020, while LPAI prevalence steadily increased (3.01%–4.35%). Twelve hemagglutinin (H1–H12) subtypes were identified in 1,722 isolates, and H3 (16.5%) was the most prevalent, followed by H5 (11.1%) and H7 (5.2%). LPAI H5N3 (55.7%) and H7N7 (75.5%) were the predominant H5 and H7 subtypes, respectively. Detection was higher in western coastal provinces, and higher mallard/spot-billed duck density and sampling in September– December were associated with increased risk. Conclusions and Relevance: Continued surveillance of migratory-bird habitats can provide early warning of HPAIV incursions and support targeted biosecurity measures in high-risk regions and seasons.

Background: Tobacco use has been the leading cause of disease and death in South Korea. Early detection of tobacco use and evidence-based interventions play pivotal roles in facilitating tobacco cessation. Methods: In accordance with the earlier iterations of the Lifetime Health Maintenance Program (2009) and recent recommendations from the United States Preventive Services Task Force (USPSTF; 2021), two themes were chosen for investigation: the identification of and intervention for tobacco use. The USPSTF recommendations were formulated by conducting an overview of reviews. In this study, literature searches and quality assessments of reviews were conducted. Results: The findings highlighted the efficacy of physician-led identification and advising in promoting tobacco cessation, with robust evidence supporting the implementation of behavioral and pharmacological interventions. These interventions significantly increased the likelihood of successful cessation compared with usual care. Digital interventions, such as internet- or mobile-based interventions, showed additive effects for quitting. Conclusion Identification and targeted interventions are essential for tobacco cessation. By leveraging evidencebased strategies and enhancing access to resources, healthcare providers can empower individuals to achieve successful tobacco cessation and improve overall health outcomes.

Background: Sarcopenia, a multifactorial disorder involving metabolic disturbance, suggests potential for metabolite biomarkers. Carnitine (CN), essential for skeletal muscle energy metabolism, may be a candidate biomarker. We investigated whether CN metabolites are biomarkers for sarcopenia. Methods: Associations between the CN metabolites identified from an animal model of sarcopenia and muscle cells and sarcopenia status were evaluated in men from an age-matched discovery (72 cases, 72 controls) and a validation (21 cases, 47 controls) cohort. Results: An association between CN metabolites and sarcopenia showed in mouse and cell studies. In the discovery cohort, plasma C5-CN levels were lower in sarcopenic men (P=0.005). C5-CN levels in men tended to be associated with handgrip strength (HGS) (P=0.098) and were significantly associated with skeletal muscle mass (P=0.003). Each standard deviation increase in C5-CN levels reduced the odds of low muscle mass (odd ratio, 0.61; 95% confidence interval [CI], 0.42 to 0.89). The area under the receiver operating characteristic curve (AUROC) of CN score using a regression equation of C5-CN levels, for sarcopenia was 0.635 (95% CI, 0.544 to 0.726). In the discovery cohort, addition of CN score to HGS significantly improved AUROC from 0.646 (95% CI, 0.575 to 0.717; HGS only) to 0.727 (95% CI, 0.643 to 0.810; P=0.006; HGS+CN score). The improvement was confirmed in the validation cohort (AUROC=0.563; 95% CI, 0.470 to 0.656 for HGS; and AUROC=0.712; 95% CI, 0.569 to 0.855 for HGS+CN score; P=0.027). Conclusion C5-CN, indicative of low muscle mass, is a potential circulating biomarker for sarcopenia in men. Further studies are required to confirm these results and explore sarcopenia-related metabolomic changes.

Background: Tobacco use has been the leading cause of disease and death in South Korea. Early detection of tobacco use and evidence-based interventions play pivotal roles in facilitating tobacco cessation. Methods: In accordance with the earlier iterations of the Lifetime Health Maintenance Program (2009) and recent recommendations from the United States Preventive Services Task Force (USPSTF; 2021), two themes were chosen for investigation: the identification of and intervention for tobacco use. The USPSTF recommendations were formulated by conducting an overview of reviews. In this study, literature searches and quality assessments of reviews were conducted. Results: The findings highlighted the efficacy of physician-led identification and advising in promoting tobacco cessation, with robust evidence supporting the implementation of behavioral and pharmacological interventions. These interventions significantly increased the likelihood of successful cessation compared with usual care. Digital interventions, such as internet- or mobile-based interventions, showed additive effects for quitting. Conclusion Identification and targeted interventions are essential for tobacco cessation. By leveraging evidencebased strategies and enhancing access to resources, healthcare providers can empower individuals to achieve successful tobacco cessation and improve overall health outcomes.

Background: Tobacco use has been the leading cause of disease and death in South Korea. Early detection of tobacco use and evidence-based interventions play pivotal roles in facilitating tobacco cessation. Methods: In accordance with the earlier iterations of the Lifetime Health Maintenance Program (2009) and recent recommendations from the United States Preventive Services Task Force (USPSTF; 2021), two themes were chosen for investigation: the identification of and intervention for tobacco use. The USPSTF recommendations were formulated by conducting an overview of reviews. In this study, literature searches and quality assessments of reviews were conducted. Results: The findings highlighted the efficacy of physician-led identification and advising in promoting tobacco cessation, with robust evidence supporting the implementation of behavioral and pharmacological interventions. These interventions significantly increased the likelihood of successful cessation compared with usual care. Digital interventions, such as internet- or mobile-based interventions, showed additive effects for quitting. Conclusion Identification and targeted interventions are essential for tobacco cessation. By leveraging evidencebased strategies and enhancing access to resources, healthcare providers can empower individuals to achieve successful tobacco cessation and improve overall health outcomes.

Background: Tobacco use has been the leading cause of disease and death in South Korea. Early detection of tobacco use and evidence-based interventions play pivotal roles in facilitating tobacco cessation. Methods: In accordance with the earlier iterations of the Lifetime Health Maintenance Program (2009) and recent recommendations from the United States Preventive Services Task Force (USPSTF; 2021), two themes were chosen for investigation: the identification of and intervention for tobacco use. The USPSTF recommendations were formulated by conducting an overview of reviews. In this study, literature searches and quality assessments of reviews were conducted. Results: The findings highlighted the efficacy of physician-led identification and advising in promoting tobacco cessation, with robust evidence supporting the implementation of behavioral and pharmacological interventions. These interventions significantly increased the likelihood of successful cessation compared with usual care. Digital interventions, such as internet- or mobile-based interventions, showed additive effects for quitting. Conclusion Identification and targeted interventions are essential for tobacco cessation. By leveraging evidencebased strategies and enhancing access to resources, healthcare providers can empower individuals to achieve successful tobacco cessation and improve overall health outcomes.

Background: Sarcopenia, a multifactorial disorder involving metabolic disturbance, suggests potential for metabolite biomarkers. Carnitine (CN), essential for skeletal muscle energy metabolism, may be a candidate biomarker. We investigated whether CN metabolites are biomarkers for sarcopenia. Methods: Associations between the CN metabolites identified from an animal model of sarcopenia and muscle cells and sarcopenia status were evaluated in men from an age-matched discovery (72 cases, 72 controls) and a validation (21 cases, 47 controls) cohort. Results: An association between CN metabolites and sarcopenia showed in mouse and cell studies. In the discovery cohort, plasma C5-CN levels were lower in sarcopenic men (P=0.005). C5-CN levels in men tended to be associated with handgrip strength (HGS) (P=0.098) and were significantly associated with skeletal muscle mass (P=0.003). Each standard deviation increase in C5-CN levels reduced the odds of low muscle mass (odd ratio, 0.61; 95% confidence interval [CI], 0.42 to 0.89). The area under the receiver operating characteristic curve (AUROC) of CN score using a regression equation of C5-CN levels, for sarcopenia was 0.635 (95% CI, 0.544 to 0.726). In the discovery cohort, addition of CN score to HGS significantly improved AUROC from 0.646 (95% CI, 0.575 to 0.717; HGS only) to 0.727 (95% CI, 0.643 to 0.810; P=0.006; HGS+CN score). The improvement was confirmed in the validation cohort (AUROC=0.563; 95% CI, 0.470 to 0.656 for HGS; and AUROC=0.712; 95% CI, 0.569 to 0.855 for HGS+CN score; P=0.027). Conclusion C5-CN, indicative of low muscle mass, is a potential circulating biomarker for sarcopenia in men. Further studies are required to confirm these results and explore sarcopenia-related metabolomic changes.