Purpose: The classification of asthma phenotypes frequently depends on the age of onset. However, the rationale for specific age cutoffs remains unclear. This study aimed to explore the distribution of asthma onset age, to define subgroups based on onset age, and to examine their characteristics within a broad Korean population. Methods: An analysis of cross-sectional data involving 56,632 participants from the Korean National Health and Nutrition Examination Survey (2010–2016) was conducted. Data on asthma history, including diagnosis, self-reported age of asthma onset, and current disease status, were collected using structured questionnaires. Results: The distribution of asthma onset age showed a distinct peak in early childhood, with a decline between the ages 15 and 20.Based on this distribution, asthma was categorized into childhood-onset ( ≤ 18 years) and adult-onset ( > 18 years) for further analysis.Multivariate analyses indicated that adult-onset asthma was associated with older age, female sex, obesity, and a history of smoking, whereas childhood-onset asthma was linked to younger age, male sex, allergic rhinitis, and atopic dermatitis. Among the adultonset group, current asthma had a later onset age, increased history of smoking history, and atopic dermatitis compared to past asthma. Conclusion This analysis of nationwide general population data suggests that an age threshold around 18 years may be relevant for defining adult-onset asthma.

Purpose: The classification of asthma phenotypes frequently depends on the age of onset. However, the rationale for specific age cutoffs remains unclear. This study aimed to explore the distribution of asthma onset age, to define subgroups based on onset age, and to examine their characteristics within a broad Korean population. Methods: An analysis of cross-sectional data involving 56,632 participants from the Korean National Health and Nutrition Examination Survey (2010–2016) was conducted. Data on asthma history, including diagnosis, self-reported age of asthma onset, and current disease status, were collected using structured questionnaires. Results: The distribution of asthma onset age showed a distinct peak in early childhood, with a decline between the ages 15 and 20.Based on this distribution, asthma was categorized into childhood-onset ( ≤ 18 years) and adult-onset ( > 18 years) for further analysis.Multivariate analyses indicated that adult-onset asthma was associated with older age, female sex, obesity, and a history of smoking, whereas childhood-onset asthma was linked to younger age, male sex, allergic rhinitis, and atopic dermatitis. Among the adultonset group, current asthma had a later onset age, increased history of smoking history, and atopic dermatitis compared to past asthma. Conclusion This analysis of nationwide general population data suggests that an age threshold around 18 years may be relevant for defining adult-onset asthma.

Purpose: The classification of asthma phenotypes frequently depends on the age of onset. However, the rationale for specific age cutoffs remains unclear. This study aimed to explore the distribution of asthma onset age, to define subgroups based on onset age, and to examine their characteristics within a broad Korean population. Methods: An analysis of cross-sectional data involving 56,632 participants from the Korean National Health and Nutrition Examination Survey (2010–2016) was conducted. Data on asthma history, including diagnosis, self-reported age of asthma onset, and current disease status, were collected using structured questionnaires. Results: The distribution of asthma onset age showed a distinct peak in early childhood, with a decline between the ages 15 and 20.Based on this distribution, asthma was categorized into childhood-onset ( ≤ 18 years) and adult-onset ( > 18 years) for further analysis.Multivariate analyses indicated that adult-onset asthma was associated with older age, female sex, obesity, and a history of smoking, whereas childhood-onset asthma was linked to younger age, male sex, allergic rhinitis, and atopic dermatitis. Among the adultonset group, current asthma had a later onset age, increased history of smoking history, and atopic dermatitis compared to past asthma. Conclusion This analysis of nationwide general population data suggests that an age threshold around 18 years may be relevant for defining adult-onset asthma.

Purpose: The classification of asthma phenotypes frequently depends on the age of onset. However, the rationale for specific age cutoffs remains unclear. This study aimed to explore the distribution of asthma onset age, to define subgroups based on onset age, and to examine their characteristics within a broad Korean population. Methods: An analysis of cross-sectional data involving 56,632 participants from the Korean National Health and Nutrition Examination Survey (2010–2016) was conducted. Data on asthma history, including diagnosis, self-reported age of asthma onset, and current disease status, were collected using structured questionnaires. Results: The distribution of asthma onset age showed a distinct peak in early childhood, with a decline between the ages 15 and 20.Based on this distribution, asthma was categorized into childhood-onset ( ≤ 18 years) and adult-onset ( > 18 years) for further analysis.Multivariate analyses indicated that adult-onset asthma was associated with older age, female sex, obesity, and a history of smoking, whereas childhood-onset asthma was linked to younger age, male sex, allergic rhinitis, and atopic dermatitis. Among the adultonset group, current asthma had a later onset age, increased history of smoking history, and atopic dermatitis compared to past asthma. Conclusion This analysis of nationwide general population data suggests that an age threshold around 18 years may be relevant for defining adult-onset asthma.

Purpose: The classification of asthma phenotypes frequently depends on the age of onset. However, the rationale for specific age cutoffs remains unclear. This study aimed to explore the distribution of asthma onset age, to define subgroups based on onset age, and to examine their characteristics within a broad Korean population. Methods: An analysis of cross-sectional data involving 56,632 participants from the Korean National Health and Nutrition Examination Survey (2010–2016) was conducted. Data on asthma history, including diagnosis, self-reported age of asthma onset, and current disease status, were collected using structured questionnaires. Results: The distribution of asthma onset age showed a distinct peak in early childhood, with a decline between the ages 15 and 20.Based on this distribution, asthma was categorized into childhood-onset ( ≤ 18 years) and adult-onset ( > 18 years) for further analysis.Multivariate analyses indicated that adult-onset asthma was associated with older age, female sex, obesity, and a history of smoking, whereas childhood-onset asthma was linked to younger age, male sex, allergic rhinitis, and atopic dermatitis. Among the adultonset group, current asthma had a later onset age, increased history of smoking history, and atopic dermatitis compared to past asthma. Conclusion This analysis of nationwide general population data suggests that an age threshold around 18 years may be relevant for defining adult-onset asthma.

The Occupational and Environmental Health Screening Cohort of Yangsan Korea (OEC-YK) was established to monitor long-term health outcomes in workers and environmental high-risk citizens through systematic periodic health examinations. The cohort integrates 623,402 examination instances from 105,768 participants at Pusan National University Yangsan Hospital (2012–2023), encompassing general health checkups, occupational exposure surveillance, cancer screenings, and others including asbestos-related surveillance. Examination types included general health examination (32.4%), cancer screening (20.6%), special health examination (16.2%), night-shift work examination (16.0%), chronic disease screening (4.8%), pre-placement examinations (2.1%), and asbestos-related surveillance (3.6%). At baseline, 59.0% were male and 75.5% were aged between 20 and 59 years. Follow-up rates reached 35.0% at 1 year, 31.9% at 2 years, and 3.2% at 11 years. Notably, the inclusion of systematic asbestos examinations, combined with a national asbestos job exposure matrix, allows detailed study of long-latency occupational diseases. This large-scale longitudinal dataset supports exposure-disease linkage analysis, job-exposure integration, and time-series modeling of worker health trajectories in Korea.

Laryngeal dysfunction, previously referred to as vocal cord dysfunction or paradoxical vocal cord movement, is characterized by inappropriate, transient, and reversible narrowing of the larynx in response to external triggers, without any structural or neurological defects. This condition can manifest in various clinical ways and can be mistaken for other respiratory diseases, such as asthma. It is crucial to accurately recognize and diagnose laryngeal dysfunction to ensure the provision of appropriate treatment. Laryngoscopy with provocation, which is a standard tool for the diagnosis of laryngeal dysfunction, has been designated as a new medical technology in Korea in July 2022. In this review, we discuss the concept, epidemiology, diagnosis, and treatment of laryngeal dysfunction as well as introduce the diagnostic procedure using laryngoscopy with provocation.

Purpose: To compare the short-term clinical outcomes (up to 3 months) after three different secondary intraocular lens (IOL) implantations in dislocated and aphakic eyes with insufficient capsular support. Methods: We retrospectively analyzed the medical records of 97 patients who underwent secondary IOL implantation (32 eyes with sutured scleral fixation, 21 with sutureless scleral fixation, and 44 with retropupillary IOL implantation) from March to December 2018. Uncorrected visual acuity (UCVA), and best-corrected visual acuity (BCVA), spherical equivalent (SE), prediction error (PE), mean absolute error (MAE), surgically induced astigmatism (SIA), ocular residual astigmatism (ORA), and complications in the three groups were assessed before and 1 week and 1 and 3 months after surgery. Results: All groups had an improved BCVA beginning 1 month after surgery. The pre- and postoperative SE (p = 0.857, p = 0.263, and p = 0.163) and PE (p = 0.479, p = 0.848, and p = 0.128) did not differ in the sutured scleral fixation, sutureless scleral fixation, and retropupillary IOL implantation groups, respectively; MAE differed significantly among the procedures 1 week after surgery (1.33 ± 1.25, 1.40 ± 1.54, and 0.85 ± 1.25, p = 0.044), but not 1 month after surgery (p = 0.965, p = 0.731). 3 months after surgery, there was no significant difference in SIA (p = 0.140) or ORA (p = 0.178) among the 3 groups. As a complication, intraocular pressure rise occurred more often in the sutured fixated group, while the retropupillary group had a higher dislocation rate. Conclusions There was no significant difference in the SE, PE, MAE, SIA, ORA, or complications among the three procedures. Surgical skill is still required to minimize the chance of complications regardless of the implantation method.

Purpose: To evaluate the reliability and validity of the Cataract-related Visual Function Questionnaire (CVFQ). Methods: A prospective cross-sectional study of 141 cataract patients was conducted from March 2022 to June 2022. The questionnaire was created based on a literature review and advice from an expert panel. This study determined its construct validity, criterion validity, internal consistency, and test-retest reliability. Results: The CVFQ consists of 15 items distributed among five categories: overall visual quality, overall visual function, distance vision, near vision, and glare. In the exploratory factor analysis of validity, the first three principal components explained 77.8% of the variance. The p-values in the Spearman correlation test comparing the pre- and postoperative total CVFQ score and best-corrected visual acuity (BCVA) were 0.006 and 0.004, respectively. In the reliability analysis, Cronbach’s alpha was > 0.9 for internal consistency and the p-values of each subcategory were all significant in the analysis of test-retest reliability. Conclusions Our results indicate that the CVFQ is useful for measuring the visual quality and visual function of cataract patients in Korea.

Objectives: To conduct a comparative study of children’s health in South Korea versus North Korea focusing on air pollution. Methods: We used annual mortality rate, prevalence, and environmental indicators data from the World Bank and World Health Organizations (WHO). Trend analysis of the two Koreas was conducted to evaluate changes in health status over time. Spearman’s correlation analysis was used to find out the correlation between environmental indicators and children’s health status. Results: We found a distinct gap in children’s health status between the two Koreas. While North Korea reported a higher death rate of children than South Korea, both showed a decreasing trend with the gap narrowing from 2000 to 2017. The prevalence of overweight and obesity increased and that of thinness decreased in both Koreas. Except PM2.5 exposure, South Korea reported higher figures in most indicators of air pollutant emissions (South Korea, mean (SD)=28.3 (2.0); North Korea, mean (SD)=36.5 (2.8), P-value=0.002). Conclusion This study empirically discovered the gaps and patterns of children’s health between South Korea and North Korea. North Korean children experienced more severe health outcomes than children in South Korea. These findings imply that epigenetic modification caused by environmental stressors affect children’s health in the two Koreas despite similar genetic characteristics. Considering the gaps in children’s health between the two Koreas, more attention and resources need to be directed towards North Korea because the necessary commodities and services to improve children’s health are lacking in North Korea.