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.

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.

A Study on Concentration, Identification, and Reduction of Airborne Microorganisms in the Military Working Dog Clinic.

BACKGROUND: The study was planned to show the status of indoor microorganisms and the status of the reduction device in the military dog clinic. METHODS: Airborne microbes were analyzed according to the number of daily patient canines. For identification of bacteria, sampled bacteria was identified using VITEK®2 and molecular method. The status of indoor microorganisms according to the operation of the ventilation system was analyzed. RESULTS: Airborne bacteria and fungi concentrations were 1000.6 ± 800.7 CFU/m3 and 324.7 ± 245.8 CFU/m3. In the analysis using automated identification system, based on fluorescence biochemical test, VITEK®2, mainly human pathogenic bacteria were identified. The three most frequently isolated genera were Kocuria (26.6%), Staphylococcus (24.48%), and Granulicatella (12.7%). The results analyzed by molecular method were detected in the order of Kocuria (22.6%), followed by Macrococcus (18.1%), Glutamicibacter (11.1%), and so on. When the ventilation system was operated appropriately, the airborne bacteria and fungi level were significantly decreased. CONCLUSION: Airborne bacteria in the clinic tend to increase with the number of canines. Human pathogenic bacteria were mainly detected in VITEK®2, and relatively various bacteria were detected in molecular analysis. A decrease in the level of bacteria and fungi was observed with proper operation of the ventilation system.

Factors Related to Sleep Disorders among Male Firefighters.

OBJECTIVES: The aim of this study was to investigate factors associated with sleep disorders in male firefighters working in a metropolitan city in South Korea. METHODS: Self-administered questionnaires including the Nordic Musculoskeletal Questionnaire, Korean Occupational Stress Scale-Short Form, Psychosocial Well-Being Index-Short Form, Pittsburg Sleep Quality Index, and Beck-Depression Inventory-2 as well as surveys collecting socio-demographic characteristics and work-related factors were given to 730 male firefighters. After exclusion for missing data, 657 male firefighters were included, and logistic regression analysis adjusted for the work-related factors, psychosocial factors, and general risk factors were used to assess the relationship between sleep disorders and associated factors. RESULTS: The prevalence of sleep disorders was 48.7%. Shift work (adjusted OR 1.58, 95% CI = 1.02-2.45), musculoskeletal symptoms (adjusted OR 2.89, 95% CI = 2.02-4.14), and depression (adjusted OR 7.04 95% CI = 4.03-12.30) were associated with sleep disorders. CONCLUSIONS: Musculoskeletal symptoms, shift work, and depression are associated with sleep disorders. Integrated health management is needed to promote good sleep quality among firefighters.