Objective: Suicide is a complex issue influenced by various factors, including mental illness, economic, and cultural elements. Mental and behavioral disorders are significant contributors to suicide risk, and individuals who attempt self-harm often present with comorbidities. This study aims to identify the significance of characteristics and comorbidities among hospitalized patients who engaged in self-harm and have been diagnosed with mental and behavioral disorders. Methods: We targeted patients aged 19 or older who attempted self-harm and were hospitalized from the 2022 Korea National Hospital Discharge In-depth Injury Survey covering the period from 2008 to 2021. After applying sampling weights, the estimated total sample size was 10,140. The analysis was conducted using a general linear model for complex samples, incorporating analysis of variance and regression analyses. Additionally, network analysis was used to explore relationships among comorbidities. Results: The incidence of self-harm varied seasonally, peaking in spring, with higher rates observed in winter. Hospitalization duration was significantly longer when surgical interventions were required or when comorbidities were present. The average length of hospitalization was 20.52 days, but patients with alcohol-related addictions had a significantly longer stay (71.57 days). For each additional comorbidity, the hospitalization duration increased by 1.889 days. About 46.78% of patients had one or more comorbidities, with strong associations between mental disorders (F00–F99) and cases of poisoning or external injuries (S00–T98). Conclusion This study underscores the importance of managing comorbidities in patients with mental illness to reduce the clinical and social costs of self-harm.

Objective: Suicide is a complex issue influenced by various factors, including mental illness, economic, and cultural elements. Mental and behavioral disorders are significant contributors to suicide risk, and individuals who attempt self-harm often present with comorbidities. This study aims to identify the significance of characteristics and comorbidities among hospitalized patients who engaged in self-harm and have been diagnosed with mental and behavioral disorders. Methods: We targeted patients aged 19 or older who attempted self-harm and were hospitalized from the 2022 Korea National Hospital Discharge In-depth Injury Survey covering the period from 2008 to 2021. After applying sampling weights, the estimated total sample size was 10,140. The analysis was conducted using a general linear model for complex samples, incorporating analysis of variance and regression analyses. Additionally, network analysis was used to explore relationships among comorbidities. Results: The incidence of self-harm varied seasonally, peaking in spring, with higher rates observed in winter. Hospitalization duration was significantly longer when surgical interventions were required or when comorbidities were present. The average length of hospitalization was 20.52 days, but patients with alcohol-related addictions had a significantly longer stay (71.57 days). For each additional comorbidity, the hospitalization duration increased by 1.889 days. About 46.78% of patients had one or more comorbidities, with strong associations between mental disorders (F00–F99) and cases of poisoning or external injuries (S00–T98). Conclusion This study underscores the importance of managing comorbidities in patients with mental illness to reduce the clinical and social costs of self-harm.

Objective: Suicide is a complex issue influenced by various factors, including mental illness, economic, and cultural elements. Mental and behavioral disorders are significant contributors to suicide risk, and individuals who attempt self-harm often present with comorbidities. This study aims to identify the significance of characteristics and comorbidities among hospitalized patients who engaged in self-harm and have been diagnosed with mental and behavioral disorders. Methods: We targeted patients aged 19 or older who attempted self-harm and were hospitalized from the 2022 Korea National Hospital Discharge In-depth Injury Survey covering the period from 2008 to 2021. After applying sampling weights, the estimated total sample size was 10,140. The analysis was conducted using a general linear model for complex samples, incorporating analysis of variance and regression analyses. Additionally, network analysis was used to explore relationships among comorbidities. Results: The incidence of self-harm varied seasonally, peaking in spring, with higher rates observed in winter. Hospitalization duration was significantly longer when surgical interventions were required or when comorbidities were present. The average length of hospitalization was 20.52 days, but patients with alcohol-related addictions had a significantly longer stay (71.57 days). For each additional comorbidity, the hospitalization duration increased by 1.889 days. About 46.78% of patients had one or more comorbidities, with strong associations between mental disorders (F00–F99) and cases of poisoning or external injuries (S00–T98). Conclusion This study underscores the importance of managing comorbidities in patients with mental illness to reduce the clinical and social costs of self-harm.

Objective: Suicide is a complex issue influenced by various factors, including mental illness, economic, and cultural elements. Mental and behavioral disorders are significant contributors to suicide risk, and individuals who attempt self-harm often present with comorbidities. This study aims to identify the significance of characteristics and comorbidities among hospitalized patients who engaged in self-harm and have been diagnosed with mental and behavioral disorders. Methods: We targeted patients aged 19 or older who attempted self-harm and were hospitalized from the 2022 Korea National Hospital Discharge In-depth Injury Survey covering the period from 2008 to 2021. After applying sampling weights, the estimated total sample size was 10,140. The analysis was conducted using a general linear model for complex samples, incorporating analysis of variance and regression analyses. Additionally, network analysis was used to explore relationships among comorbidities. Results: The incidence of self-harm varied seasonally, peaking in spring, with higher rates observed in winter. Hospitalization duration was significantly longer when surgical interventions were required or when comorbidities were present. The average length of hospitalization was 20.52 days, but patients with alcohol-related addictions had a significantly longer stay (71.57 days). For each additional comorbidity, the hospitalization duration increased by 1.889 days. About 46.78% of patients had one or more comorbidities, with strong associations between mental disorders (F00–F99) and cases of poisoning or external injuries (S00–T98). Conclusion This study underscores the importance of managing comorbidities in patients with mental illness to reduce the clinical and social costs of self-harm.

Objective: Suicide is a complex issue influenced by various factors, including mental illness, economic, and cultural elements. Mental and behavioral disorders are significant contributors to suicide risk, and individuals who attempt self-harm often present with comorbidities. This study aims to identify the significance of characteristics and comorbidities among hospitalized patients who engaged in self-harm and have been diagnosed with mental and behavioral disorders. Methods: We targeted patients aged 19 or older who attempted self-harm and were hospitalized from the 2022 Korea National Hospital Discharge In-depth Injury Survey covering the period from 2008 to 2021. After applying sampling weights, the estimated total sample size was 10,140. The analysis was conducted using a general linear model for complex samples, incorporating analysis of variance and regression analyses. Additionally, network analysis was used to explore relationships among comorbidities. Results: The incidence of self-harm varied seasonally, peaking in spring, with higher rates observed in winter. Hospitalization duration was significantly longer when surgical interventions were required or when comorbidities were present. The average length of hospitalization was 20.52 days, but patients with alcohol-related addictions had a significantly longer stay (71.57 days). For each additional comorbidity, the hospitalization duration increased by 1.889 days. About 46.78% of patients had one or more comorbidities, with strong associations between mental disorders (F00–F99) and cases of poisoning or external injuries (S00–T98). Conclusion This study underscores the importance of managing comorbidities in patients with mental illness to reduce the clinical and social costs of self-harm.

This research group (forensic research via omics markers in environmental health vulnerable areas: FROM) aimed to develop biomarkers for exposure to environmental hazards and diseases, assess environmental diseases, and apply and verify these biomarkers in environmentally vulnerable areas. Environmentally vulnerable areas—including refineries, abandoned metal mines, coal-fired power plants, waste incinerators, cement factories, and areas with high exposure to particulate matter—along with control areas, were selected for epidemiological investigations. A total of 1,157 adults, who had resided in these areas for over 10 years, were recruited between June 2021 and September 2023. Personal characteristics of the study participants were gathered through a survey. Biological samples, specifically blood and urine, were collected during the field investigations, separated under refrigerated conditions, and then transported to the laboratory for biomarker analysis. Analyses of heavy metals, environmental hazards, and adducts were conducted on these blood and urine samples. Additionally, omics analyses of epigenomes, proteomes, and metabolomes were performed using the blood samples. The biomarkers identified in this study will be utilized to assess the risk of environmental disease occurrence and to evaluate the impact on the health of residents in environmentally vulnerable areas, following the validation of diagnostic accuracy for these diseases.

This research group (forensic research via omics markers in environmental health vulnerable areas: FROM) aimed to develop biomarkers for exposure to environmental hazards and diseases, assess environmental diseases, and apply and verify these biomarkers in environmentally vulnerable areas. Environmentally vulnerable areas—including refineries, abandoned metal mines, coal-fired power plants, waste incinerators, cement factories, and areas with high exposure to particulate matter—along with control areas, were selected for epidemiological investigations. A total of 1,157 adults, who had resided in these areas for over 10 years, were recruited between June 2021 and September 2023. Personal characteristics of the study participants were gathered through a survey. Biological samples, specifically blood and urine, were collected during the field investigations, separated under refrigerated conditions, and then transported to the laboratory for biomarker analysis. Analyses of heavy metals, environmental hazards, and adducts were conducted on these blood and urine samples. Additionally, omics analyses of epigenomes, proteomes, and metabolomes were performed using the blood samples. The biomarkers identified in this study will be utilized to assess the risk of environmental disease occurrence and to evaluate the impact on the health of residents in environmentally vulnerable areas, following the validation of diagnostic accuracy for these diseases.

This research group (forensic research via omics markers in environmental health vulnerable areas: FROM) aimed to develop biomarkers for exposure to environmental hazards and diseases, assess environmental diseases, and apply and verify these biomarkers in environmentally vulnerable areas. Environmentally vulnerable areas—including refineries, abandoned metal mines, coal-fired power plants, waste incinerators, cement factories, and areas with high exposure to particulate matter—along with control areas, were selected for epidemiological investigations. A total of 1,157 adults, who had resided in these areas for over 10 years, were recruited between June 2021 and September 2023. Personal characteristics of the study participants were gathered through a survey. Biological samples, specifically blood and urine, were collected during the field investigations, separated under refrigerated conditions, and then transported to the laboratory for biomarker analysis. Analyses of heavy metals, environmental hazards, and adducts were conducted on these blood and urine samples. Additionally, omics analyses of epigenomes, proteomes, and metabolomes were performed using the blood samples. The biomarkers identified in this study will be utilized to assess the risk of environmental disease occurrence and to evaluate the impact on the health of residents in environmentally vulnerable areas, following the validation of diagnostic accuracy for these diseases.

This research group (forensic research via omics markers in environmental health vulnerable areas: FROM) aimed to develop biomarkers for exposure to environmental hazards and diseases, assess environmental diseases, and apply and verify these biomarkers in environmentally vulnerable areas. Environmentally vulnerable areas—including refineries, abandoned metal mines, coal-fired power plants, waste incinerators, cement factories, and areas with high exposure to particulate matter—along with control areas, were selected for epidemiological investigations. A total of 1,157 adults, who had resided in these areas for over 10 years, were recruited between June 2021 and September 2023. Personal characteristics of the study participants were gathered through a survey. Biological samples, specifically blood and urine, were collected during the field investigations, separated under refrigerated conditions, and then transported to the laboratory for biomarker analysis. Analyses of heavy metals, environmental hazards, and adducts were conducted on these blood and urine samples. Additionally, omics analyses of epigenomes, proteomes, and metabolomes were performed using the blood samples. The biomarkers identified in this study will be utilized to assess the risk of environmental disease occurrence and to evaluate the impact on the health of residents in environmentally vulnerable areas, following the validation of diagnostic accuracy for these diseases.

Background/Aims: Metabolic dysfunction-associated steatotic liver disease (MASLD) is characterized by fat accumulation in the liver. MASLD encompasses both steatosis and MASH. Since MASH can lead to cirrhosis and liver cancer, steatosis and MASH must be distinguished during patient treatment. Here, we investigate the genomes, epigenomes, and transcriptomes of MASLD patients to identify signature gene set for more accurate tracking of MASLD progression. Methods: Biopsy-tissue and blood samples from patients with 134 MASLD, comprising 60 steatosis and 74 MASH patients were performed omics analysis. SVM learning algorithm were used to calculate most predictive features. Linear regression was applied to find signature gene set that distinguish the stage of MASLD and to validate their application into independent cohort of MASLD. Results: After performing WGS, WES, WGBS, and total RNA-seq on 134 biopsy samples from confirmed MASLD patients, we provided 1,955 MASLD-associated features, out of 3,176 somatic variant callings, 58 DMRs, and 1,393 DEGs that track MASLD progression. Then, we used a SVM learning algorithm to analyze the data and select the most predictive features. Using linear regression, we identified a signature gene set capable of differentiating the various stages of MASLD and verified it in different independent cohorts of MASLD and a liver cancer cohort. Conclusions We identified a signature gene set (i.e., CAPG, HYAL3, WIPI1, TREM2, SPP1, and RNASE6) with strong potential as a panel of diagnostic genes of MASLD-associated disease.