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

PURPOSE: The purpose of this study was to evaluate the effect of photodynamic therapy (PDT) using erythrosine and a green light emitting diode (LED) light source on biofilms of Aggregatibacter actinomycetemcomitans attached to resorbable blasted media (RBM) and sandblasted, large-grit, acid-etched (SLA) titanium surfaces in vitro. METHODS: RBM and SLA disks were subdivided into four groups, including one control group and three test groups (referred to as E0, E30, E60), in order to evaluate the effect of PDT on each surface. The E0 group was put into 500 microL of 20 microM erythrosine for 60 seconds without irradiation, the E30 group was put into erythrosine for 60 seconds and was then irradiated with a LED for 30 seconds, and the E60 group was put into erythrosine for 60 seconds and then irradiated with a LED for 60 seconds. After PDT, sonication was performed in order to detach the bacteria, the plates were incubated under anaerobic conditions on brucella blood agar plates for 72 hours at 37degrees C, and the number of colony-forming units (CFUs) was determined. RESULTS: Significant differences were found between the control group and the E30 and E60 groups (P<0.05). A significantly lower quantity of CFU/mL was found in the E30 and E60 groups on both titanium disk surfaces. In confocal scanning laser microscopy images, increased bacterial death was observed when disks were irradiated for a longer period of time. CONCLUSIONS: These findings suggest that PDT using erythrosine and a green LED is effective in reducing the viability of A. actinomycetemcomitans attached to surface-modified titanium in vitro.
Agar ; Aggregatibacter actinomycetemcomitans* ; Bacteria ; Biofilms ; Brucella ; Erythrosine ; Microbial Viability ; Microscopy, Confocal ; Photochemotherapy* ; Sonication ; Stem Cells ; Titanium*