スカンジナビアのデ・ノボ心臓移植患者における高強度インターバルトレーニングの効果
Kari Nytrøen1,2,3,4, Katrine Rolid1,2,3,5,4, Arne Kristian Andreassen1,2
1Departments of Cardiology (K.N., K.R., A.K.A., M.Y., E.G., E.B., A.R.A., I.G., L.G.), Oslo University Hospital Rikshospitalet, Norway.
Circulation
|February 19, 2019
まとめ
高強度インターバルトレーニング (HIT) は心臓移植を受けた患者の運動能力を改善します. 心臓移植の早期に導入された この安全で効果的な方法は 適度な強度トレーニングと比較して 有酸素能力と筋肉機能を 大幅に改善します
科学分野:
- 心臓病科
- 運動 生理学
- 移植医学
背景:
- 心臓移植後の最適な運動プロトコル (HTx) に関するコンセンサスは限られている.
- 以前の研究では,高強度インターバルトレーニング (HIT) がHTx後のメンテナンス段階で安全で有効であることが示されました.
- HITの初期,de novo HTx状態への影響は,まだ十分に調査されていない.
研究 の 目的:
- 早期の高強度インターバルトレーニング (HIT) の安全性と有効性を研究する.
- HITと中等強度の継続訓練 (MICT) の運動能力と生活の質への影響を比較する.
- HITがHTx後の運動能力と生活の質に臨床的に有意義な改善をもたらすという仮説を検証する.
主な方法:
- 移植後の平均11週間) を対象とした多センター,前向き,ランダム化制御試験です.
- 患者は9ヶ月間,HIT (4x4分間隔で85%~95%のピーク努力) またはMICT (60%~80%のピーク努力) にランダムに割り当てられました.
- 2次結果:筋肉の強さ,体質,生活の質,心臓機能,血液動力学.
主要な成果:
- 96% の患者が試験を終えたが,重篤な運動関連の有害事象は発生しなかった.
- HITグループは,MICTと比較して,Vo2ピーク (1.8mL·kg-1·min-1差,約0. 5METs),無酸素値,ピーク排気流量,および伸縮筋容量の有意な改善を示しました.
- HIT グループと MICT グループでは,健康に関する生活の質の成果は似ていた.
結論:
- 高強度インターバルトレーニング (HIT) は,デノボ心臓移植患者のための安全で効果的な運動方法です.
- HITの早期導入は,Vo2ピーク,無酸素値,筋肉力の臨床的に有意な改善につながります.
- HITは中等強度の継続的なトレーニングよりも,心臓移植後の運動能力の向上に優れていることを示しています.
さらに関連する動画
07:40Impact of High-intensity Interval Exercise and Moderate-Intensity Continuous Exercise on the Cardiac Troponin T Level at an Early Stage of Training
Published on: October 10, 2019
7.7K
09:19Short Session High Intensity Interval Training and Treadmill Assessment in Aged Mice
Published on: February 2, 2019
10.5K
関連する概念動画
01:03Prediction Intervals
3.4K
The interval estimate of any variable is known as the prediction interval. It helps decide if a point estimate is dependable.
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y.
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y.
3.4K
01:21Confidence Intervals
10.6K
An unbiased point estimate is often insufficient to predict a population estimate, such as population mean or population proportion. In this scenario, a confidence interval is used. A confidence interval is an estimate similar to a sample proportion. However, unlike the point estimate which is a single value, the confidence interval contains a range of values. These values have lower and upper limits, known as confidence limits, and can be designated as L1 and L2, respectively.
A...
A...
10.6K
01:29Improper Integrals: Infinite Intervals
96
An integral is classified as improper due to an infinite interval when at least one of its limits of integration extends to positive or negative infinity. In such cases, the region under the curve is unbounded, and standard techniques for evaluating definite integrals are not directly applicable. Instead, the improper integral is defined through a limiting process that allows one to determine whether the accumulated area remains finite despite the infinite domain.Application to Exponential...
96
00:58Sound Intensity
4.8K
The loudness of a sound source is related to how energetically the source is vibrating, consequently making the molecules of the propagation medium vibrate. To measure the loudness of a source, the physical quantity of interest is the intensity. This is defined as the energy emitted per unit of time per unit of area perpendicular to the sound wave's propagation direction. Since the total energy is greater if the source vibrates for a longer duration and over a larger area, dividing the...
4.8K
00:55Interval Level of Measurement
18.8K
For effective statistical analysis, data are classified into four levels of measurement—nominal, ordinal, interval, and ratio.
Data measured using the interval scale are similar to ordinal level data because they have a definite arrangement. However, in the interval level of measurement, the differences between data values are meaningful even though the data does not have a starting point.
Temperature is measured using the interval scale. It is measurable data, and the difference between...
Data measured using the interval scale are similar to ordinal level data because they have a definite arrangement. However, in the interval level of measurement, the differences between data values are meaningful even though the data does not have a starting point.
Temperature is measured using the interval scale. It is measurable data, and the difference between...
18.8K
01:19Interpretation of Confidence Intervals
10.0K
A confidence interval is a better estimate of the population than a point estimate, as it uses a range of values from a sample instead of a single value.
Confidence intervals have confidence coefficients that are crucial for their interpretation. The most common confidence coefficients are 0.90, 0.95, and 0.99, which can be written as percentages–90%, 95%, and 99%, respectively.
Suppose a person calculates a confidence interval with a confidence coefficient of 0.95. In that case, they can...
Confidence intervals have confidence coefficients that are crucial for their interpretation. The most common confidence coefficients are 0.90, 0.95, and 0.99, which can be written as percentages–90%, 95%, and 99%, respectively.
Suppose a person calculates a confidence interval with a confidence coefficient of 0.95. In that case, they can...
10.0K