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상병 건강검진을 통한 해병대 병사들의 건강 상태 평가 및 만성질환 위험인자 분석
변성규 ( Seonggyu Byeon ),이지환 ( Ji-hwan Lee ),박선균 ( Sunkyun Park ) 국군의무사령부 2016 대한군진의학학술지 Vol.47 No.1
Objective : We performed this study to evaluate the health status of Republic of Korea Navy, Marine Corp soldiers, and to analyze risk factors related to chronic disease. Methos : 1580 soldiers who had taken physical examination and questionnaire at the 1st Marine Division Medical Battalion, ROK Navy were retrospectively reviewed. Within these data, we analyzed the 811 results of the physical examination and self questionnaire with completed form. Results : The observed values of physical examination were within normal range. The prevalence of obesity, dyslipidemia and elevated liver enzyme were 22.5%, 10.2% and 6.7%, respectively. Current smoking rate was 44%. High systolic blood pressure and AST level were related with obesity and dyslipidemia. (p-value < 0.001, p-value 0.004, respectively) Conclusions : The prevalence of obesity and dyslipidemia in marine coprs soldiers were much lower compared to age stratified public. But current smoking rate was reported higher than public. Further policies are needed to reduce the potential risk of smoking.
부대 특성에 따른 비만율 및 혈중지질농도 차이에 관한 연구
변성규 ( Seonggyu Byeon ),이지환 ( Ji-hwan Lee ),박선균 ( Sunkyun Park ) 국군의무사령부 2016 대한군진의학학술지 Vol.47 No.1
Objectives : The aim of this study is to compare the differences of body mass index (BMI) and blood lipid level among military forces depending on combat forces’ characteristics Methods : We collected the result of medical examination and questionnaire of 1118 ROK marine corps soldiers. We classified the soldiers in three groups. A, infantry, B, armour, and C service troop. We performed ANOVA and regression analysis to identify a relationship between the characteristics of combat forces and prevalence of obesity, dyslipidemia, and other risk factors of chronic diseases. Results : There were 622 soldiers in group A, 379 soldiers in group B, and 117 soldiers in group C. No significant differences were observed between each groups regarding the prevalence of obesity. But Group C was identified as having higher BMI than other groups.(p=0.039) Group C also showed higher prevalence of dyslipidemia than other groups. (p=0.035) Conclusions : We found that difference of physical activity depending on the characteristics of combat forces might be related with different BMI and prevalence of dyslipidemia. A custom health care policies will be needed to improve healthy level among soldiers and prevent progression to disease from risk factors.
Diagnostic Value of Ascitic Tumor Markers for Gastric Cancer-associated Malignant Ascites
Yang Yaewon,Kim Hong Jun,Go Se-il,배우균,Song Eun-Kee,Byeon Seonggyu,Kim Hee Kyung,Jeong Yusook,권지현,Lee Ki Hyeong,채희복,손승명,Kim Dae Hoon,윤효영,Han Hye Sook 대한상부위장관ㆍ헬리코박터학회 2022 Korean Journal of Helicobacter Upper Gastrointesti Vol.22 No.1
Background/Aims: Peritoneal carcinomatosis with malignant ascites is common in patients with advanced gastric cancer (GC). The detection of tumor cells is the gold standard for the diagnosis of malignant ascites; however, it often requires complementary tests because of its low sensitivity. Herein, we measured the levels of tumor markers in the malignant ascites of GC patients (GC-ascites) and benign ascites of liver cirrhosis patients (LC-ascites) to elucidate the diagnostic value of tumor markers in GC-ascites. Materials and Methods: The levels of CEA, cancer antigen 72-4 (CA 72-4), CA 19-9, and CA 125 were measured in 138 GC-ascites and 64 LC-ascites samples obtained from the National Biobank of Korea. We performed receiver operating characteristic curve analysis to determine the optimal cutoff value for each tumor marker. Results: CEA, CA 72-4, and CA 19-9 levels were significantly higher in GC-ascites than in LC-ascites. There was no difference in tumor marker levels between GC-ascites samples irrespective of cytology. CEA, CA 72-4, and CA 19-9 had sensitivities of 85.5%, 79.0%, and 61.6%, respectively, and specificities of 96.8%, 100.0%, and 89.1%, respectively, for distinguishing GC-ascites samples from LC-ascites samples. The diagnostic accuracy was improved by combining two or more tumor markers. The combination of CEA and CA 72-4 showed the highest sensitivity (86.2%) and specificity (100%). Conclusions: Measurement of tumor markers, such as CEA, CA 72-4, and CA 19-9, in ascites samples could help diagnose GC-ascites, and combining two or more tumor markers could further increase the diagnostic yield, even in cytology-negative patients.