DSpace コレクション: 2019-12-262019-12-26http://hdl.handle.net/11173/29262024-03-28T19:44:21Z2024-03-28T19:44:21Z動脈硬化リスクとしての骨格筋量の減少和田, 萌希堀田, 侑希赤嶺, 百子青, 未空西河, 浩之福永, 康智谷口, 隆司佐藤, 哲也宮脇, 尚志http://hdl.handle.net/11173/29512020-06-08T16:30:09Z2019-12-25T15:00:00Zタイトル: 動脈硬化リスクとしての骨格筋量の減少
著者: 和田, 萌希; 堀田, 侑希; 赤嶺, 百子; 青, 未空; 西河, 浩之; 福永, 康智; 谷口, 隆司; 佐藤, 哲也; 宮脇, 尚志
抄録: Objective: We investigated the relationship between skeletal muscle mass and atherosclerosis risks and determined a cut-off point of muscle mass percentage and atherosclerosis risk by gender. Methods: The study included 4,392 untreated men and 1,116 untreated women who underwent a health checkup. We obtained body composition, blood pressure and blood samples after an overnight fast. Skeletal muscle mass was assessed using a bioelectrical impedance method. Hypertension, dyslipidemia, and diabetes were defined as atherosclerosis risks. We used percentage of muscle mass as the skeletal muscle mass (%SM). Multiple linear regression analysis was performed for %SM, waist circumference, BMI, percentage of body fat, and age as independent variables, and the number of risks as a dependent variable. ROC analysis was performed to determine the cut-off point of %SM for determining two or more numbers of atherosclerosis risks. Results: The average levels of %SM in the subjects were 32.4±2.3% in men, and 26.4±2.3% in women, respectively. Multiple linear regression analysis showed that %SM significantly contributed to the risk for atherosclerosis, followed by age and BMI. ROC analysis showed that the optimal cut-off point of %SM was 32-33% in men and 25-26% in women for determining two or more numbers of atherosclerosis risks. Conclusions: It was suggested that there was a significant relation between a decrease in skeletal muscle mass and atherosclerosis, independent of body composition and age. We also noted a gender difference in terms of the relation of the level of muscle mass decrease and atherosclerosis risk.2019-12-25T15:00:00Z中年の日本人における上下肢生体インピーダンス法による四肢の骨格筋量の正確な評価佐藤, 哲也堀田, 侑希和田, 萌希赤嶺, 百子青, 未空西河, 浩之宮脇, 尚志http://hdl.handle.net/11173/29502020-06-08T16:30:07Z2019-12-25T15:00:00Zタイトル: 中年の日本人における上下肢生体インピーダンス法による四肢の骨格筋量の正確な評価
著者: 佐藤, 哲也; 堀田, 侑希; 和田, 萌希; 赤嶺, 百子; 青, 未空; 西河, 浩之; 宮脇, 尚志
抄録: Objectives: This study aimed to develop a skeletal muscle mass prediction formula for the upper and lower limbs using bioelectrical impedance (BI) method, and to investigate the relation to the atherosclerosis risk factors. Methods: This study was in two parts. First, a new device using the skeletal muscle mass prediction formula for the upper and lower limbs was developed using the data of 1197 healthy males and females in whom BI, height, weight, and skeletal muscle mass were measured. Dual energy X-ray absorptiometry (DXA) was used as the reference method. Second, using the device with the developed prediction formula, we measured BI, waist circumference, and the atherosclerosis risk factors in 1161 untreated males and females who underwent an annual medical check-up and investigated the association of the number of atherosclerosis risk factors and the skeletal muscle mass index (SMI). Results: The correlation between the estimated skeletal muscle mass and DXA of the upper and lower limbs were 0.94 and 0.95, respectively (P < 0.001 for both). In males with a waist circumference less than the standard value (85cm), the number of atherosclerosis risk factors was significantly correlated with SMI of the lower limbs (B = − 0.109, P = 0.011). The cutoff values of SMI of the upper and lower limbs for males and females as a predictor of the presence of at least two of the atherosclerosis risks factors were 8.4 kg/m^2 and 6.5 kg/m^2, respectively. These cutoff values were higher than the cutoff for sarcopenia (7.0kg/m^2 for males and 5.7kg/m^2 for females). Conclusions: A new device using the skeletal muscle mass prediction formula for the upper and lower limbs with a high degree of accuracy. It is suggested that the decrease in skeletal muscle causes atherosclerosis earlier than sarcopenia in middle-aged Japanese. 目的:本研究は,生体インピーダンス(BI)法を用いて,上肢および下肢それぞれの骨格筋量の推定式を搭載した機器を開発し,動脈硬化リスク因子との関係を調査することを目的とした。方法:研究1として,20~80 歳の健康な男女1197名のデータを用いて,上肢および下肢の骨格筋量の推定式を開発した。各々の被験者は,生体インピーダンス,身長および体重を測定し,骨格筋量のリファレンスは二重エネルギーX線吸収測定法(DXA)を用いて測定した。研究2として,未治療の男女の人間ドック健診受診者1161人を対象として,前記で開発した骨格筋量の推定式をインストールした装置を用いて上肢および下肢の骨格筋量を推定し,腹囲および動脈硬化リスク因子も測定した。次に,上肢および下肢の骨格筋量から骨格筋量指数(SMI)を算出し,目的変数を動脈硬化リスク数,独立変数をSMI,年齢,および腹囲とし重回帰分析を行った。さらに,動脈硬化リスク数が2以上となる上下肢SMI のカットオフ値をROC 解析を用いて求めた。結果:研究1では,骨格筋量の推定値とリファレンスのDXA の相関係数は上肢と下肢がそれぞれ0.94と0.95(P< 0.001)であった。研究2では,腹囲が基準値の85cm 未満の男性において,下肢のSMI の減少は動脈硬化リスク数の有意な寄与因子であった(B =-0.109, P = 0.011)。また,動脈硬化リスクが2個以上となる上下肢SMI のカットオフ値は男女それぞれ8.4kg/m^2 と6.5kg/m^2 であり,サルコペニア診断基準のカットオフ値(男性:7.0kg/m^2 ,女性:5.7kg/m^2)より高値であった。結論:今回作成した推定式は,上肢および下肢それぞれの骨格筋量を高い精度で推定することが可能であった。動脈硬化リスクを評価する体組成の測定においては,従来のBMI や内臓脂肪蓄積の評価に加えて,上下肢別にSMI を評価することが重要であると考えられた。骨格筋の減少に伴い,動脈硬化リスクはサルコペニアリスクより早期に生じる可能性が示唆された。2019-12-25T15:00:00Z食事の質と量だけでなく食べ方と食べる時刻も血糖指標に影響を与える今井, 佐恵子梶山, 静夫http://hdl.handle.net/11173/29472020-06-08T16:30:07Z2019-12-25T15:00:00Zタイトル: 食事の質と量だけでなく食べ方と食べる時刻も血糖指標に影響を与える
著者: 今井, 佐恵子; 梶山, 静夫
抄録: Reducing the postprandial glucose and glycemic excursions is important to decrease the risk of metabolic syndrome, cardiovascular diseases, and dementia, even before onset of diabetes. Easy and effective diet is needed to reduce glycemic variability. We reported that what to eat first and when to eat effect glycemic parameters. The glucose excursions are significantly lower when the subjects eat vegetable before carbohydrate compared to the reverse regimen in both individuals with and without diabetes. For when to eat, meal timing also effects postprandial glucose and insulin concentrations. Consuming a late-night-dinner increases postprandial glucose and insulin concentrations, while divided consumption of late-night-dinner (eating vegetables and carbohydrate at early evening followed by vegetable and the main dish at late night) improves daily glycemic excursions and insulin secretion. Additionally, consuming snacks in the afternoon ameliorates glycemic excursions compared to those in consuming snacks after dinner. Thus, not only quality and quantity of meal but also the meal sequence and meal timing effect postprandial glucose and glycemic excursions in people with and without diabetes.2019-12-25T15:00:00Z表紙ほかhttp://hdl.handle.net/11173/29482020-06-08T16:30:07Z2019-12-25T15:00:00Zタイトル: 表紙ほか2019-12-25T15:00:00Z