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JYMS : Journal of Yeungnam Medical Science

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2 "Cohort studies"
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Impact of COVID-19 on the development of major mental disorders in patients visiting a university hospital: a retrospective observational study
Hee-Cheol Kim
J Yeungnam Med Sci. 2024;41(2):86-95.   Published online February 6, 2024
DOI: https://doi.org/10.12701/jyms.2023.01256
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AbstractAbstract PDF
Background
This study aimed to investigate the impact of coronavirus disease 2019 (COVID-19) on the development of major mental disorders in patients visiting a university hospital.
Methods
The study participants were patients with COVID-19 (n=5,006) and those without COVID-19 (n=367,162) registered in the database of Keimyung University Dongsan Hospital and standardized with the Observational Medical Outcomes Partnership Common Data Model. Data on major mental disorders that developed in both groups over the 5-year follow-up period were extracted using the FeederNet computer program. A multivariate Cox proportional hazards model was used to estimate the hazard ratio (HR) and 95% confidence interval (CI) for the incidence of major mental disorders.
Results
The incidences of dementia and sleep, anxiety, and depressive disorders were significantly higher in the COVID-19 group than in the control group. The incidence rates per 1,000 patient-years in the COVID-19 group vs. the control group were 12.71 vs. 3.76 for dementia, 17.42 vs. 7.91 for sleep disorders, 6.15 vs. 3.41 for anxiety disorders, and 8.30 vs. 5.78 for depressive disorders. There was no significant difference in the incidence of schizophrenia or bipolar disorder between the two groups. COVID-19 infection increased the risk of mental disorders in the following order: dementia (HR, 3.49; 95% CI, 2.45–4.98), sleep disorders (HR, 2.27; 95% CI, 1.76–2.91), anxiety disorders (HR, 1.90; 95% CI, 1.25–2.84), and depressive disorders (HR, 1.54; 95% CI, 1.09–2.15).
Conclusion
This study showed that the major mental disorders associated with COVID-19 were dementia and sleep, anxiety, and depressive disorders.
Association between total body muscle percentage and prevalence of non-alcoholic fatty liver disease in Korean adults findings from an 18-year follow-up: a prospective cohort study
Byoung Chan Ahn, Chul Yong Park, Jung Hee Hong, Ki Ook Baek
J Yeungnam Med Sci. 2023;40(Suppl):S47-S55.   Published online August 29, 2023
DOI: https://doi.org/10.12701/jyms.2023.00605
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  • 57 Download
AbstractAbstract PDFSupplementary Material
Background
This study aimed to elucidate the association between total lean muscle mass and the incidence of non-alcoholic fatty liver disease (NAFLD) in the adult Korean population.
Methods
Utilizing data derived from the 18-year prospective cohort of the Korean Genome and Epidemiology Study, NAFLD was diagnosed via the hepatic steatosis index with an established cutoff value of 36. Lean muscle mass was assessed via bioelectrical impedance analysis and subsequently divided into tertiles. A generalized mixed model with a logit link was employed for repeated measures data analysis, accounting for potential confounders.
Results
Analysis encompassed 7,794 participants yielding 49,177 measurements. The findings revealed a markedly increased incidence of NAFLD in the lower tertiles of muscle mass, specifically, tertile 1 (odds ratio [OR], 20.65; 95% confidence interval [CI], 9.66–44.11) and tertile 2 (OR, 4.57; 95% CI, 2.11–9.91), in comparison to tertile 3. Age-dependent decreases in the OR were observed within the tertile 1 group, with ORs of 10.12 at age of 40 years and 4.96 at age of 80 years. Moreover, each 1%-point increment in total muscle mass corresponded with an estimated OR of 0.87 (95% CI, 0.82–0.93) for NAFLD resolution.
Conclusions
The study demonstrates a significant association between total muscle mass and NAFLD prevalence among Korean adults. Given the potential endocrine role of muscle mass in NAFLD pathogenesis, interventions aimed at enhancing muscle mass might serve as an effective public health strategy for mitigating NAFLD prevalence.

JYMS : Journal of Yeungnam Medical Science
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