JP2000312673A - Method for computing fat combustion efficiency - Google Patents
Method for computing fat combustion efficiencyInfo
- Publication number
- JP2000312673A JP2000312673A JP11124366A JP12436699A JP2000312673A JP 2000312673 A JP2000312673 A JP 2000312673A JP 11124366 A JP11124366 A JP 11124366A JP 12436699 A JP12436699 A JP 12436699A JP 2000312673 A JP2000312673 A JP 2000312673A
- Authority
- JP
- Japan
- Prior art keywords
- fat
- fat burning
- burning efficiency
- predetermined value
- combustion efficiency
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Landscapes
- Measuring And Recording Apparatus For Diagnosis (AREA)
Abstract
Description
【０００１】[0001]
【発明の属する技術分野】本発明は、運動時の消費エネ
ルギーのうち、脂肪が占める割合を示す脂肪燃焼効率を
演算する方法に関する。BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a method for calculating a fat burning efficiency, which indicates a ratio of fat consumed in energy consumed during exercise.
【０００２】[0002]
【従来の技術】従来、人体のエネルギー源として身体の
中の糖質と脂肪の両方が消費されていることは知られて
いる。この運動中の総エネルギー消費量のうち何パーセ
ントが脂肪で、何パーセント糖質であるのかを知る方法
として、口元から排出される呼気ガスを分析するもの
で、酸素の摂取量と二酸化炭素の排出量からエネルギー
消費量のうち、脂肪が占める割合を求める呼吸代謝測定
による装置が提供されている。これは、体内で栄養素が
燃焼するときに発生する炭酸ガスの体積と消費された酸
素の体積との比である呼吸比が、糖質と脂肪では異なる
ことを利用したもので、酸素摂取量に対する二酸化炭素
の排出量を測定する事により、脂肪燃焼量を求めるもの
である。2. Description of the Related Art It has been known that both carbohydrates and fats in the body are consumed as energy sources of the human body. As a way of knowing what percentage of total energy expenditure during this exercise is fat and what percentage is carbohydrate, it analyzes exhaled breath gas from the mouth, and measures oxygen intake and carbon dioxide emissions. An apparatus based on respiratory metabolism measurement for determining the proportion of fat consumed in energy consumption from the amount is provided. This is based on the fact that the respiratory ratio, which is the ratio between the volume of carbon dioxide generated when nutrients burn in the body and the volume of oxygen consumed, is different for carbohydrates and fats. It measures the amount of fat burning by measuring the amount of carbon dioxide emitted.
【０００３】[0003]
【発明が解決しようとする課題】消費されたエネルギー
のうち脂肪が占める割合を示す脂肪燃焼効率を知るに
は、上記のように、その運動中の酸素摂取量と二酸化炭
素排出量を分析しなくてはならず、呼気分析装置等の大
がかりな装置と専門家の判断が必要であった。また、こ
の装置は運動中の呼気ガスを分析するため、口元あるい
は顔全体にマスクを装着する必要があり、測定者に圧迫
感を与えるとともに、携帯して測定するその装置を背負
って持ち運ぶ必要があり、測定者にとってかなりの負荷
となり、通常の運動状態で測定することは困難であっ
た。In order to know the fat burning efficiency, which indicates the proportion of fat consumed in the consumed energy, it is necessary to analyze the oxygen intake and carbon dioxide emission during the exercise as described above. It was necessary to use a large-scale device such as a breath analyzer and the judgment of an expert. In addition, since this device analyzes exhaled gas during exercise, it is necessary to wear a mask on the mouth or the entire face, and it is necessary to give the measurer a feeling of oppression and to carry the device to be carried and measured. There was a considerable load on the measurer, and it was difficult to measure under normal exercise conditions.
【０００４】また、この脂肪燃焼効率は、運動の種類・
強度とその継続時間に依存するものの、実際には個人差
が大きいことが知られている。今回、発明者がガスアナ
ライザを用いた実験を行った結果、その個人差が各個人
の生活行動からくる体質（筋肉質か脂肪質か）の差や体
格（肥満型か痩せ型か）に左右されることが判明した。[0004] The fat burning efficiency depends on the type of exercise.
It is known that individual differences are actually large depending on the intensity and the duration thereof. This time, the inventor conducted an experiment using a gas analyzer, and as a result, the individual differences depended on the differences in the constitution (muscular or fat) and the physique (obese or lean) due to the living behavior of each individual. Turned out to be.
【０００５】本発明は、上記問題点を鑑みてなされたも
のであり、測定者に負荷を与えず、簡単に運動中の消費
エネルギーのうち、脂肪が占める割合である脂肪燃焼効
率を個人の体質、体型、生活行動に対応して演算する方
法である。[0005] The present invention has been made in view of the above problems, and does not apply a load to a measurer and easily determines the fat burning efficiency, which is the proportion of fat consumed in the energy consumed during exercise. It is a method of calculating according to the body type and living behavior.
【０００６】[0006]
【課題を解決するための手段】本発明は、運動中におけ
る消費エネルギーのうち脂肪が占める割合を示す脂肪燃
焼効率を演算する方法として、脂肪燃焼に関係の深い生
活行動パターンを複数区分に分け、その区分ごとにそれ
ぞれ所定の値を割り当て、これら所定値を加算すること
とする。また、前記所定値は生活行動パターン毎に該当
する場合と該当しない場合でそれぞれ正の点数と負の点
数を決めるものとした。更に本発明は、前記加算値によ
る脂肪燃焼効率に加え、肥満度による脂肪燃焼効率の補
正を加えることにより使用者の個人差に対応した脂肪燃
焼効率を求める。According to the present invention, a method of calculating fat burning efficiency, which indicates a ratio of fat consumed to energy consumed during exercise, is divided into a plurality of living activity patterns closely related to fat burning. A predetermined value is assigned to each of the sections, and these predetermined values are added. In addition, the predetermined value determines a positive score and a negative score depending on the case where the value is applicable to each life behavior pattern and the case where the value is not applicable. Further, in the present invention, the fat burning efficiency corresponding to the individual difference of the user is obtained by adding the fat burning efficiency based on the degree of obesity in addition to the fat burning efficiency based on the added value.
【０００７】[0007]
【発明の実施の形態】本発明の脂肪燃焼量演算方法で
は、実測呼気分析を用い男女毎・運動強度毎・継続時間
毎に求めた歩行中の脂肪燃焼効率の平均値を求める。発
明者は平均的な運動強度として一般的に知られている運
動強度４０％となる歩行速度において、平均脂肪燃焼効
率を求めたら、女性で４５％、男性で４０％となった。
しかしながら、この平均脂肪燃焼効率は平均値であるた
め、平均以上または平均以下の運動したり、休んだり、
食事をしたり、風呂に入ったりする日常生活の場合にお
いて、そのままの値を使用できない。そこで、本発明で
は日常生活の行動または運動を複数の区分のパターンに
集約し所定値を割り当て、これら点数の合計値から平均
脂肪燃焼効率に補正をかけるようにした。DESCRIPTION OF THE PREFERRED EMBODIMENTS In the method for calculating the amount of fat burning according to the present invention, the average value of the fat burning efficiency during walking determined for each gender, for each exercise intensity, and for each continuation time is determined by using actual breath analysis. The inventor found that the average fat-burning efficiency was 45% for women and 40% for men at a walking speed of 40%, which is generally known as average exercise intensity.
However, since this average fat burning efficiency is an average value, exercise or rest above or below the average,
In daily life such as eating and taking a bath, the value cannot be used as it is. Therefore, in the present invention, the behavior or exercise of daily life is aggregated into a plurality of division patterns, a predetermined value is assigned, and the average fat burning efficiency is corrected from the total value of these points.
【０００８】ここで所定値とは個人により異なる体質、
体格を分析するために、脂肪燃焼効率を作用する要素に
関係する、その人の生活行動パターンを複数の区分に分
類し点数を割り当てた値であり、それぞれについて当て
はまるか否かを判定してもらうことで、該当する項目に
ついては加算し、脂肪燃焼効率を演算する。[0008] Here, the predetermined value is different depending on individuals.
In order to analyze the physique, it is a value obtained by classifying the life activity pattern of the person into a plurality of categories and assigning a score, which is related to the factor that affects the fat burning efficiency, and asks each person to determine whether or not it applies. Thus, the corresponding items are added to calculate the fat burning efficiency.
【０００９】また、前記所定値としては、該当するとき
にのみ値を加算するだけではなく、該当しない場合は、
マイナス値として減算することで演算することもでき
る。これは生活パターンに持たせる点数を計算し易いよ
うに適宜変更することで対応できる。In addition, as the predetermined value, not only the value is added only when the value is applicable, but when the value is not applicable,
It is also possible to calculate by subtracting as a negative value. This can be dealt with by appropriately changing the score given to the life pattern so that it can be easily calculated.
【００１０】更に本発明では、運動中の消費エネルギー
のうち脂肪が占める割合を示す脂肪燃焼効率を演算する
のに、生活行動パターンによる所定値の合計を用いるの
に加えて、肥満度指数であるBMI（Ｂｏｄｙ ｍａｓｓ
ｉｎｄｅｘ）とにより脂肪燃焼効率を演算する。歩行
者の体格、すなわち肥満度（ＢＭＩ）より脂肪燃焼効率
が変化することにも注目し、発明者は肥満度の異なる歩
行者による脂肪燃焼効率を測定した。その結果、合計値
に基づく定数に肥満度（ＢＭＩ）を加算することでより
正確な脂肪燃焼効率を求めることができた。これは、使
用者の個人差により対応した脂肪燃焼効率を正確に且つ
簡単に求めるためである。Further, in the present invention, the fat burning efficiency, which indicates the ratio of fat consumed in the energy consumed during exercise, is calculated by using the sum of predetermined values according to the living behavior patterns and the body mass index. BMI (Body mass
index) to calculate the fat burning efficiency. Paying attention to the fact that the fat burning efficiency changes depending on the pedestrian's physique, that is, the degree of obesity (BMI), the inventor measured the fat burning efficiency of pedestrians having different obesity degrees. As a result, more accurate fat burning efficiency could be obtained by adding the degree of obesity (BMI) to a constant based on the total value. This is because the fat burning efficiency corresponding to the individual difference of the user is accurately and easily obtained.
【００１１】更に、上記生活行動パターンの区分は、多
くの人に共通する生活行動パターンの中から代表的なパ
ターンを設定する。また上記生活行動パターンの区分
は、運動選手や事務職等の特定の生活行動パターンを有
している人に対して区分して設定すると、より多彩な生
活行動パターンの人々に対応できる。[0011] Further, as the above-mentioned division of the living behavior pattern, a representative pattern is set from the living behavior patterns common to many people. Also, if the above-mentioned categories of living behavior patterns are set separately for persons having specific living behavior patterns such as athletes and office workers, it is possible to cope with people with more diverse living behavior patterns.
【００１２】[0012]
【実施例】本発明の実施例を図面を用いて説明する。こ
こでは生活行動パターンとして図１に示す７種類に分け
る。図１は生活行動パターンが該当するとき、該当しな
いときの点数を示しており、歩行者は各パターンの該当
・非該当をチェックし、それぞれの点数を加算して合計
値を求める。ここに挙げられた７つの項目は、脂肪燃焼
効率を作用するといわれる種々の要因を１つの質問事項
として用いる。ここで区分１〜３はＲＭＲ（安静時代
謝）に関する項目であり、ＲＭＲが高ければ日常の生活
において消費されるエネルギー量が基本的に多いとされ
る。区分４は体温保持消費に関する項目であり、基礎体
温が高い人程消費するエネルギー量は多いとされてい
る。区分５，６は有酸素消費に関する項目であり、酸素
を多量に取り入れて、エネルギーも同様に消費している
か、つまりエネルギーの燃焼効率が高いかを判断する項
目である。区分７は脂肪蓄積因子に関する項目であり、
体に脂肪が付きやすい生活をしていないかを判断する項
目である。尚、ここでは生活行動パターンの判定項目と
して７区分を用いたが、脂肪燃焼効率を補正できる範囲
であればよいので、これに限られるものではない。これ
らの項目を歩行者が判定し易い簡単な質問事項を挙げ
て、該当するか否かにより、点数を割り当て、点数の合
計値により平均脂肪燃焼効率を補正する。Embodiments of the present invention will be described with reference to the drawings. Here, the living activity patterns are divided into seven types shown in FIG. FIG. 1 shows points when the life activity pattern is applicable and when the pattern is not applicable. The pedestrian checks whether the pattern corresponds or not, and adds the respective points to obtain a total value. The seven items listed here use, as one question, various factors that are said to affect fat burning efficiency. Here, the categories 1 to 3 are related to RMR (resting metabolism), and the higher the RMR, the more basically the amount of energy consumed in daily life is considered to be large. Category 4 is an item related to body temperature holding consumption, and it is considered that a person having a higher basal body temperature consumes more energy. Categories 5 and 6 are items related to aerobic consumption, and are items that determine whether a large amount of oxygen is taken in and energy is also consumed, that is, whether energy combustion efficiency is high. Category 7 relates to fat storage factors,
This is an item to determine whether or not you are living a life that tends to get fat on your body. Here, seven categories are used as the judgment items of the living behavior pattern, but the present invention is not limited to this as long as the fat burning efficiency can be corrected. Points are assigned depending on whether or not the items correspond to simple questions that are easy for a pedestrian to determine, and the average fat burning efficiency is corrected based on the total value of the points.
【００１３】図２は生活行動パターンにより求められた
合計値により、脂肪燃焼効率を求めたものであり、生活
行動パターンにより、脂肪燃焼効率が異なることとな
り、求めた合計値より歩行者個人の脂肪燃焼効率を求め
ることができる。尚、男性の脂肪燃焼効率は、女性の脂
肪燃焼効率に比較して平均５％低くしてあるが、これは
男性の体質は女性の体質と比較して筋肉質であるため、
同じ運動をしても筋肉中の糖質が多く消費され、脂質の
消費が少ないことから来るものである。FIG. 2 shows the result of calculating the fat burning efficiency based on the total value obtained from the living activity pattern. The fat burning efficiency differs depending on the living activity pattern. The combustion efficiency can be determined. The average fat burning efficiency of men is 5% lower than that of women, but this is because men are more muscular than women.
This is because the same exercise consumes a lot of carbohydrates in the muscles and consumes less lipids.
【００１４】更に請求項３に記載の発明では、上記の生
活行動パターンによる脂肪燃焼効率に加えて、歩行者の
体格、すなわち肥満度（ＢＭＩ）より脂肪燃焼効率が変
化することにも注目し、肥満度の異なる歩行者による脂
肪燃焼効率を測定した。その結果、図３に示すように所
定の値に肥満度（ＢＭＩ）を加算することでより正確な
脂肪燃焼効率を求めることができる。Further, in the invention according to claim 3, it is noted that, in addition to the fat burning efficiency according to the above-mentioned life behavior pattern, the fat burning efficiency changes depending on the pedestrian's physique, that is, the obesity degree (BMI). The fat burning efficiency of pedestrians with different obesity levels was measured. As a result, more accurate fat burning efficiency can be obtained by adding the degree of obesity (BMI) to a predetermined value as shown in FIG.
【００１５】ここで、身長１５０ｃｍ体重５０ｋｇの２
２歳の女性が１００００歩歩いた場合を想定し、生活行
動パターンによる所定値とＢＭＩを用いたこの演算方法
により、歩行中の脂肪燃焼効率を求めてみる。この女性
は普段は運動をせず、自分は痩せていて脂肪率は少
ないと感じているが、家ではゴロゴロしており、冷
え性であるため、長風呂が好きで、趣味はカラオケ
で、間食をよくしてしまう人であるとする。まず、図
１に示す生活行動パターンにおいて判定してみると、 １）運動量が多い ×（−５） ２）私は脂肪率が高い ○（＋５） ３）家でゴロゴロしているのが好き ○（−５） ４）寒くても平気 ×（＋１０） ５）長風呂派である ○（＋５） ６）カラオケに頻繁に行ってよく歌う ○（＋５） ７）間食をよくする ○（＋５） となり、合計値は２０ポイントとなる。従って図３よ
り、この生活行動パターンでは、脂肪燃焼効率は２０＋
ＢＭＩで求められることになる。更にＢＭＩを求める
と、ＢＭＩ＝体重／（身長）２であるので ＢＭＩ＝５０／（１．５）２ よって脂肪燃焼効率（％）は 脂肪燃焼効率＝２０＋（５０／１．５２）≒４２．２ 従ってこの女性の場合、歩行中の消費エネルギーのうち
脂肪が占める割合の脂肪燃焼効率は、４２．２％である
と求めることができる。Here, the height of 150 cm and the weight of 50 kg are 2
Assuming that a 2-year-old woman walks 10,000 steps,
This calculation method using a predetermined value based on a dynamic pattern and a BMI
To find the fat burning efficiency during walking. This woman
Do not usually exercise, are thin and have a low fat percentage
I feel that there is no, but at home it is rumbling and it is cold
I like long baths and my hobby is karaoke
So let's say you're a good snacker. First, figure
Judging from the life behavior pattern shown in 1, 1) there is a lot of exercise × (−5) 2) I have a high fat percentage ○ (+5) 3) I like rumbling at home ○ (−5) 4) I'm fine even if it's cold × (+10) 5) I'm a long bather ○ (+5) 6) I often go to karaoke and sing often ○ (+5) 7) I eat better snacks ○ (+5) Will be 20 points. Therefore, FIG.
In this life behavior pattern, the fat burning efficiency is 20+
It will be required by BMI. Further seek BMI
And BMI = weight / (height)2BMI = 50 / (1.5)2 Therefore, fat burning efficiency (%) is: fat burning efficiency = 20 + (50 / 1.52) $ 42.2 Therefore, in the case of this woman,
Fat burning efficiency of the percentage occupied by fat is 42.2%
Can be requested.
【００１６】尚、図２及び図３では、日本人を対象に脂
肪燃焼効率を求めたが、人種が異なれば脂肪燃焼効率の
数値や肥満度に一定係数をかけること等の補正が必要で
ある。上記実施例では、歩行運動に注目して説明した
が、歩行運動に限定することなく、種々の運動において
も生活行動パターンの区分を変えたり、そのパターンの
所定値を変えたりすることにより対応可能である。In FIGS. 2 and 3, fat burning efficiency is obtained for Japanese people. However, if the race is different, correction such as applying a constant coefficient to the fat burning efficiency value or obesity degree is required. is there. In the above embodiment, the description has been made by focusing on the walking exercise. However, the present invention is not limited to the walking exercise, and can be applied to various exercises by changing the division of the life activity pattern or changing a predetermined value of the pattern. It is.
【００１７】[0017]
【発明の効果】本発明は、以上説明したように、脂肪燃
焼に関係の深い生活行動パターンを複数区分に分け、そ
の区分ごとにそれぞれ所定の値を割り当て、これら所定
値を加算することにより脂肪燃焼効率を演算することに
より、運動中の脂肪燃焼効率を、特に大がかりな装置・
困難な操作を必要とせずに、多用な生活行動をしている
個々人の脂肪燃焼効率を簡単に且つ正確に求めることが
できる。As described above, the present invention divides a life activity pattern closely related to fat burning into a plurality of sections, assigns a predetermined value to each of the sections, and adds these predetermined values to each other. By calculating the combustion efficiency, the fat combustion efficiency during exercise can be measured with a particularly large device.
It is possible to easily and accurately determine the fat burning efficiency of an individual who is performing various living activities without requiring a difficult operation.
【００１８】また、脂肪燃焼に関係の深い生活行動パタ
ーンを複数区分に分け、その区分ごとにそれぞれ所定の
値を割り当て、これら所定値の加算値とBMIとにより脂
肪燃焼効率を演算することにより、多用な生活行動パタ
ーンに対応するだけでなく、体格、すなわち肥満度（Ｂ
ＭＩ）より脂肪燃焼効率の変化にも対応して演算でき
る。Further, by dividing a life activity pattern closely related to fat burning into a plurality of sections, assigning a predetermined value to each of the sections, and calculating the fat burning efficiency based on an added value of these predetermined values and the BMI, In addition to coping with various patterns of living behavior, physique, that is, the degree of obesity (B
MI), the calculation can be performed in accordance with the change in the fat burning efficiency.
【００１９】更に、所定値を生活行動パターンの有無に
より正負の所定値とすることで合計値を小さくでき、計
算機を使用することなく暗算でも簡単に計算できる。Further, by making the predetermined value a positive or negative predetermined value depending on the presence / absence of a living activity pattern, the total value can be reduced, and the calculation can be easily performed by mental arithmetic without using a computer.
【図１】本発明の一実施例である、生活行動パターンを
示すものである。FIG. 1 shows a living behavior pattern according to an embodiment of the present invention.
【図２】本発明の脂肪燃焼効率を表すものである。FIG. 2 shows the fat burning efficiency of the present invention.
【図３】本発明のＢＭＩで補正した脂肪燃焼効率を表す
ものである。FIG. 3 shows fat burning efficiency corrected by the BMI of the present invention.
Claims (4)
る割合を示す脂肪燃焼効率を演算する方法において、脂
肪燃焼に関係の深い生活行動パターンを複数区分に分
け、その区分ごとにそれぞれ所定の値を割り当て、これ
ら所定値を加算することにより脂肪燃焼効率を演算する
ことを特徴とする脂肪燃焼効率演算方法。1. A method for calculating a fat burning efficiency which indicates a ratio of fat consumed to energy consumed during exercise, wherein a living activity pattern closely related to fat burning is divided into a plurality of sections, and a predetermined value is assigned to each of the sections. And calculating the fat burning efficiency by adding these predetermined values.
パターンの有無により正負の所定値とすることを特徴と
する脂肪燃焼演算方法。2. The fat burning calculation method according to claim 1, wherein the predetermined value is a positive or negative predetermined value depending on the presence or absence of a living behavior pattern.
る割合を示す脂肪燃焼効率を演算する方法において、脂
肪燃焼に関係の深い生活行動パターンを複数区分に分
け、その区分ごとにそれぞれ所定の値を割り当て、これ
ら所定値の加算値と肥満度とにより脂肪燃焼効率を演算
することを特徴とする脂肪燃焼効率演算方法。3. A method for calculating a fat burning efficiency which indicates a ratio of fat consumed to energy consumed during exercise, wherein a living activity pattern closely related to fat burning is divided into a plurality of sections, and a predetermined value is assigned to each section. And calculating the fat burning efficiency based on the sum of the predetermined values and the obesity degree.
パターンの有無により正負の所定値とすることを特徴と
する脂肪燃焼効率演算方法。4. The fat burning efficiency calculation method according to claim 3, wherein the predetermined value is a positive or negative predetermined value depending on the presence or absence of a living behavior pattern.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP11124366A JP2000312673A (en) | 1999-04-30 | 1999-04-30 | Method for computing fat combustion efficiency |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP11124366A JP2000312673A (en) | 1999-04-30 | 1999-04-30 | Method for computing fat combustion efficiency |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| JP2000312673A true JP2000312673A (en) | 2000-11-14 |
| JP2000312673A5 JP2000312673A5 (en) | 2005-03-10 |
Family
ID=14883632
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP11124366A Pending JP2000312673A (en) | 1999-04-30 | 1999-04-30 | Method for computing fat combustion efficiency |
Country Status (1)
| Country | Link |
|---|---|
| JP (1) | JP2000312673A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2014033868A (en) * | 2012-08-09 | 2014-02-24 | Tanita Corp | Energy consumption estimator |
-
1999
- 1999-04-30 JP JP11124366A patent/JP2000312673A/en active Pending
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2014033868A (en) * | 2012-08-09 | 2014-02-24 | Tanita Corp | Energy consumption estimator |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Hutchinson et al. | The influence of self-selected music on affect-regulated exercise intensity and remembered pleasure during treadmill running. | |
| Bray et al. | An exploratory investigation of the relationship between proxy efficacy, self-efficacy and exercise attendance | |
| Pandolf | Advances in the study and application of perceived exertion | |
| Robertson et al. | Validation of the adult OMNI scale of perceived exertion for cycle ergometer exercise | |
| Katula et al. | Mirror, mirror on the wall... exercise environment influences on self-efficacy. | |
| Farris et al. | A 12-week interdisciplinary intervention program for children who are obese | |
| Oppewal et al. | Adding meaning to physical fitness test results in individuals with intellectual disabilities | |
| Berglund et al. | The relationship between maximum heart rate in a cardiorespiratory fitness test and in a maximum heart rate test | |
| Hausenblas et al. | A multilevel examination of exercise intention and behavior during pregnancy | |
| Mays et al. | A Comparison of Practical Assessment Methods to Determine Treadmill, Cycle, and Elliptical Ergometer JOURNAL/jscr/04.03/00124278-201005000-00024/OV0312_8/v/2021-02-09T093711Z/r/image-pngO2peak | |
| Guidetti et al. | Energy cost and energy sources of a ballet dance exercise in female adolescents with different technical ability | |
| Kolus et al. | Classifying work rate from heart rate measurements using an adaptive neuro-fuzzy inference system | |
| Holle et al. | Increased muscle efficiency and sustained benefits in an outpatient community hospital-based pulmonary rehabilitation program | |
| Agiovlasitis et al. | Step-rate cut-points for physical activity intensity in patients with multiple sclerosis: the effect of disability status | |
| Fiľo et al. | The relation between physical and mental load, and the course of physiological functions and cognitive performance | |
| Wiecha et al. | VO2max prediction based on submaximal cardiorespiratory relationships and body composition in male runners and cyclists: a population study | |
| Malina et al. | Growth and maturation: methods of monitoring | |
| JP2000312673A (en) | Method for computing fat combustion efficiency | |
| Vehrs et al. | Prediction of VO2max before, during, and after 16 weeks of endurance training | |
| JP2000316833A (en) | Calculating method for fat combustion quantity and its device | |
| Rutkauskiene et al. | Batteries assessing functional fitness of older people: A brief review | |
| Scherer et al. | Rating of perceived exertion: development and clinical applications for physical therapy exercise testing and prescription | |
| Spackman et al. | Maximal graded exercise test protocol preferences of relatively fit college students | |
| Groslambert et al. | Effects of aging on perceived exertion and pain during arm cranking in women 70 to 80 years old | |
| Brandt | Functional thresholds and its association with 20-and 40 km cycling performance |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| A521 | Written amendment |
Free format text: JAPANESE INTERMEDIATE CODE: A523 Effective date: 20040405 |
|
| A621 | Written request for application examination |
Free format text: JAPANESE INTERMEDIATE CODE: A621 Effective date: 20040405 |
|
| A977 | Report on retrieval |
Free format text: JAPANESE INTERMEDIATE CODE: A971007 Effective date: 20051018 |
|
| A131 | Notification of reasons for refusal |
Free format text: JAPANESE INTERMEDIATE CODE: A131 Effective date: 20051025 |
|
| A521 | Written amendment |
Free format text: JAPANESE INTERMEDIATE CODE: A523 Effective date: 20051222 |
|
| A02 | Decision of refusal |
Free format text: JAPANESE INTERMEDIATE CODE: A02 Effective date: 20060120 |