• The Korean Journal of Zoology
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• v.34 no.1
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• pp.69-80
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• 1991

점박이송사리에 관한 해부학적 자료축적의 일환으로 부속지골격의 형댈 발생 및 골화 진전양상을 조사하였다. 각 부속지의 구성골은 전피성골이 연골성골보다 먼저 골화되었다. 부속지의 기조는 가슴지느러미, 구리지느러미, 등 및 됫지느러미, 그리고 배지느러미의 순으로 골화되었다. 골화 진전에 따라 초기 자어시 유함되어 있던 수직지느러미의 기골은 방사기골과 중담기골로, 가슴지느러미의 오초-견갑골은 오훼골과 견갑골로 분리, 분화되었다. 그러나 골화진전에 따른 구성 골간의 유합은 나타나지 않았다. 5가지 부속지의 골화 완성은 가슴지느러미, 꼬리지느러미, 등지느러미, 됫지느러미 그리고 배지느러미의 순으로 이루어졌다.

• Nutrition Research and Practice
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• v.13 no.1
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• pp.47-57
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• 2019

BACKGROUND/OBJECTIVES: The aim of this study was to analyze the factors related to sarcopenic obesity among the elderly in South Korea. SUBJECTS/METHODS: A total of 3,367 elderly (${\geq}65years$) from the Korea National Health and Nutrition Examination Survey (2008-2011) were included in this analysis. The subjects were assessed to determine their sarcopenia and obesity status. Sarcopenia was assessed by determining their appendicular skeletal muscle mass (ASM). Obesity was defined by the waist circumference. An association of sarcopenic obesity and the related factors was analyzed using multiple logistic regression models. RESULTS: The risk of sarcopenic obesity of the subjects was decreased by active physical activity. After adjusting for age, smoking, and alcohol consumption, the risk of sarcopenic obesity in men of the highest level group (Q4) decreased by 45% (OR = 0.550, 95% CI = 0.334-0.905, P trend 0.018) compared to that in the reference group (Q1). Among the women, the risk of sarcopenic obesity in the Q3 and Q4 groups decreased by 29.0% (OR = 0.710, 95% CI = 0.512-0,984) and 56.7% (OR = 0.433, 95% CI = 0.281-0.668), respectively, compared to that in the Q1 group (P trend < 0.001). The mean daily energy intake was higher in the non-sarcopenia group than in the sarcopenia group. The risk of sarcopenic obesity in subjects not meeting the recommended intakes of energy, riboflavin, and vitamin C increased significantly by 25.4%, and 36.6%, and 32.6%, respectively, compared to that in the subjects meeting the recommended nutrient intake. CONCLUSION: Active physical activity as well as an adequate intake of energy and some vitamins might be negatively associated with the development of sarcopenia and sarcopenic obesity in the elderly.

• Nutrition Research and Practice
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• v.15 no.1
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• pp.95-105
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• 2021

BACKGROUND/OBJECTIVES: The measurement of body composition, including muscle and fat mass, remains challenging in large epidemiological studies due to time constraint and cost when using accurate modalities. Therefore, this study aimed to develop and validate prediction equations according to sex to measure lean body mass (LBM), appendicular skeletal muscle mass (ASM), and body fat mass (BFM) using anthropometric measurement, serum creatinine level, and lifestyle factors as independent variables and dual-energy X-ray absorptiometry as the reference method. SUBJECTS/METHODS: A sample of the Korean general adult population (men: 7,599; women: 10,009) from the Korean National Health and Nutrition Examination Survey 2008-2011 was included in this study. The participants were divided into the derivation and validation groups via a random number generator (with a ratio of 70:30). The prediction equations were developed using a series of multivariable linear regressions and validated using the Bland-Altman plot and intraclass correlation coefficient (ICC). RESULTS: The initial and practical equations that included age, height, weight, and waist circumference had a different predictive ability for LBM (men: R2 = 0.85, standard error of estimate [SEE] = 2.7 kg; women: R2 = 0.78, SEE = 2.2 kg), ASM (men: R2 = 0.81, SEE = 1.6 kg; women: R2 = 0.71, SEE = 1.2 kg), and BFM (men: R2 = 0.74, SEE = 2.7 kg; women: R2 = 0.83, SEE = 2.2 kg) according to sex. Compared with the first prediction equation, the addition of other factors, including serum creatinine level, physical activity, smoking status, and alcohol use, resulted in an R2 that is higher by 0.01 and SEE that is lower by 0.1. CONCLUSIONS: All equations had low bias, moderate agreement based on the Bland-Altman plot, and high ICC, and this result showed that these equations can be further applied to other epidemiologic studies.