Objective: Dentists encounter unique occupational challenges, including stress, depression, and anxiety, that can impact their mental well-being. Therefore, it is essential to identify dentists’ mental health statuses and the factors influencing them. Understanding the heterogeneity in dentists’ mental health is crucial for tailored interventions. To investigate different mental health profiles within the dentist population and understand the characteristics of each type. Methods: In this cross-sectional study, we surveyed 261 Korean dentists from a sample of 1,520. Using latent profile analysis, participants were classified into distinct mental health profiles based on self-reported stress, depressive symptoms, anxiety, and sleep quality. Demographic and occupational variables were analyzed to explore their association with mental health profiles. Results: Three distinct mental health profiles were identified: high, moderate, and low. Factors such as drinking frequency, socioeconomic status, income, and work hours significantly influenced profile classification. Significant differences in job satisfaction were observed among the profiles. Conclusion This study underscores the importance of personalized interventions to address the specific needs of each mental health profile, aiming to improve job satisfaction and overall mental health in the dental profession.

Objective: Dentists encounter unique occupational challenges, including stress, depression, and anxiety, that can impact their mental well-being. Therefore, it is essential to identify dentists’ mental health statuses and the factors influencing them. Understanding the heterogeneity in dentists’ mental health is crucial for tailored interventions. To investigate different mental health profiles within the dentist population and understand the characteristics of each type. Methods: In this cross-sectional study, we surveyed 261 Korean dentists from a sample of 1,520. Using latent profile analysis, participants were classified into distinct mental health profiles based on self-reported stress, depressive symptoms, anxiety, and sleep quality. Demographic and occupational variables were analyzed to explore their association with mental health profiles. Results: Three distinct mental health profiles were identified: high, moderate, and low. Factors such as drinking frequency, socioeconomic status, income, and work hours significantly influenced profile classification. Significant differences in job satisfaction were observed among the profiles. Conclusion This study underscores the importance of personalized interventions to address the specific needs of each mental health profile, aiming to improve job satisfaction and overall mental health in the dental profession.

Objective: Dentists encounter unique occupational challenges, including stress, depression, and anxiety, that can impact their mental well-being. Therefore, it is essential to identify dentists’ mental health statuses and the factors influencing them. Understanding the heterogeneity in dentists’ mental health is crucial for tailored interventions. To investigate different mental health profiles within the dentist population and understand the characteristics of each type. Methods: In this cross-sectional study, we surveyed 261 Korean dentists from a sample of 1,520. Using latent profile analysis, participants were classified into distinct mental health profiles based on self-reported stress, depressive symptoms, anxiety, and sleep quality. Demographic and occupational variables were analyzed to explore their association with mental health profiles. Results: Three distinct mental health profiles were identified: high, moderate, and low. Factors such as drinking frequency, socioeconomic status, income, and work hours significantly influenced profile classification. Significant differences in job satisfaction were observed among the profiles. Conclusion This study underscores the importance of personalized interventions to address the specific needs of each mental health profile, aiming to improve job satisfaction and overall mental health in the dental profession.

Objective: Dentists encounter unique occupational challenges, including stress, depression, and anxiety, that can impact their mental well-being. Therefore, it is essential to identify dentists’ mental health statuses and the factors influencing them. Understanding the heterogeneity in dentists’ mental health is crucial for tailored interventions. To investigate different mental health profiles within the dentist population and understand the characteristics of each type. Methods: In this cross-sectional study, we surveyed 261 Korean dentists from a sample of 1,520. Using latent profile analysis, participants were classified into distinct mental health profiles based on self-reported stress, depressive symptoms, anxiety, and sleep quality. Demographic and occupational variables were analyzed to explore their association with mental health profiles. Results: Three distinct mental health profiles were identified: high, moderate, and low. Factors such as drinking frequency, socioeconomic status, income, and work hours significantly influenced profile classification. Significant differences in job satisfaction were observed among the profiles. Conclusion This study underscores the importance of personalized interventions to address the specific needs of each mental health profile, aiming to improve job satisfaction and overall mental health in the dental profession.

Objective: Dentists encounter unique occupational challenges, including stress, depression, and anxiety, that can impact their mental well-being. Therefore, it is essential to identify dentists’ mental health statuses and the factors influencing them. Understanding the heterogeneity in dentists’ mental health is crucial for tailored interventions. To investigate different mental health profiles within the dentist population and understand the characteristics of each type. Methods: In this cross-sectional study, we surveyed 261 Korean dentists from a sample of 1,520. Using latent profile analysis, participants were classified into distinct mental health profiles based on self-reported stress, depressive symptoms, anxiety, and sleep quality. Demographic and occupational variables were analyzed to explore their association with mental health profiles. Results: Three distinct mental health profiles were identified: high, moderate, and low. Factors such as drinking frequency, socioeconomic status, income, and work hours significantly influenced profile classification. Significant differences in job satisfaction were observed among the profiles. Conclusion This study underscores the importance of personalized interventions to address the specific needs of each mental health profile, aiming to improve job satisfaction and overall mental health in the dental profession.

BACKGROUND: No nationwide epidemiological study evaluating the prevalence of subclinical and overt forms of hypothyroidism and hyperthyroidism has yet been conducted in Korea. This study aimed to evaluate the reference range of serum thyroid stimulating hormone (TSH) and the national prevalence of thyroid dysfunctions in Korea. METHODS: Nation-wide cross-sectional data were analyzed from a representative sample of the civilian, non-institutionalized Korean population (n=6,564) who underwent blood testing for thyroid function and anti-thyroid peroxidase antibody (TPOAb) as part of the Korea National Health and Nutrition Examination Survey VI (2013 to 2015). RESULTS: The reference interval of serum TSH in the Korean reference population was 0.62 to 6.68 mIU/L. Based on this reference interval, the prevalence of overt and subclinical hypothyroidism was 0.73% (males 0.40%, females 1.10%) and 3.10% (males 2.26%, females 4.04%), respectively. The prevalence of hypothyroidism increased with age until the age group between 50 to 59 years. Positive TPOAb were found in 7.30% of subjects (males 4.33%, females 10.62%). The prevalence of overt and subclinical hypothyroidism TPOAb-positive subjects was 5.16% and 10.88%, respectively. The prevalence of overt and subclinical hyperthyroidism was 0.54% (males 0.30%, females 0.81%) and 2.98% (males 2.43%, females, 3.59%), respectively. CONCLUSION: The Serum TSH reference levels in the Korean population were higher than the corresponding levels in Western countries. Differences were found in the prevalence of hypothyroidism and hyperthyroidism according to age, sex, and TPOAb positivity. This study provides important baseline information for understanding patterns of thyroid dysfunction and diseases in Korea.
Epidemiologic Studies ; Female ; Hematologic Tests ; Humans ; Hyperthyroidism ; Hypothyroidism ; Korea* ; Nutrition Surveys* ; Peroxidase ; Prevalence* ; Reference Values* ; Thyroid Gland* ; Thyrotropin*

We report a case of Massilia varians isolated from a deep finger wound following orthopedic surgery on an immunocompetent patient. The bacterium was identified by 16S rDNA sequence analysis. This is the first case of M. varians isolated from a clinical specimen since the first report in 2008.
DNA, Ribosomal ; Fingers ; Humans ; Orthopedics ; Sequence Analysis ; Wounds and Injuries

BACKGROUND: In this report, we present the annual data of the intensive care unit (ICU) module of the Korean Nosocomial Infections Surveillance System (KONIS) from July 2013 through June 2014. METHODS: We performed a prospective surveillance of nosocomial urinary tract infections (UTIs), bloodstream infections (BSIs), and pneumonia (PNEU) in 166 ICUs of 94 hospitals using the KONIS. Nosocomial infection (NI) rate was defined as the number of infections per 1,000 patient-days or device-days. RESULTS: A total of 2,843 NIs were found during the study period: 861 UTIs (846 were urinary catheter-associated), 1,173 BSIs (1,021 were central line-associated), and 809 PNEUs (498 were ventilator-associated). The rate of urinary catheter-associated UTIs was 1.21 per 1,000 device-days (95% confidence interval [CI]=1.13-1.29), and the urinary catheter utilization ratio was 0.84 (95% CI=0.839-0.841). The rate of central line-associated BSIs was 2.33 per 1,000 device-days (95% CI=2.20-2.48), and the utilization ratio was 0.53 (95% CI=0.529-0.531). The rate of ventilatorassociated PNEUs (VAPs) was 1.46 per 1,000 device-days (95% CI=1.34-1.60), and the utilization ratio was 0.41 (95% CI=0.409-0.411). In hospitals with more than 900 beds, although the ventilator utilization ratio was highest, the rate of VAPs was lower than in hospitals with 300-699 or 700-899 beds. CONCLUSION: BSIs were the most commonly reported nosocomial infections. Although device utilization ratios had increased, nosocomial infection rates did not differ significantly from those during the previous period (July 2012 through June 2013).
Cross Infection* ; Intensive Care Units* ; Critical Care* ; Pneumonia ; Prospective Studies ; Urinary Catheters ; Urinary Tract Infections ; Ventilators, Mechanical