東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

The Relationship between Diet, Body ...

Bouchard, Isabelle.

FindBook

Google Book

Amazon

博客來

The Relationship between Diet, Body Composition, Cardiorespiratory Fitness and Respiratory Quotient.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	The Relationship between Diet, Body Composition, Cardiorespiratory Fitness and Respiratory Quotient./
作者:	Bouchard, Isabelle.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2019,
面頁冊數:	41 p.
附註:	Source: Masters Abstracts International, Volume: 81-04.
Contained By:	Masters Abstracts International81-04.
標題:	Nutrition. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=13877552
ISBN:	9781085781992

The Relationship between Diet, Body Composition, Cardiorespiratory Fitness and Respiratory Quotient.
Bouchard, Isabelle.

The Relationship between Diet, Body Composition, Cardiorespiratory Fitness and Respiratory Quotient. - Ann Arbor : ProQuest Dissertations & Theses, 2019 - 41 p.

Source: Masters Abstracts International, Volume: 81-04.

Thesis (M.S.)--University of Kansas, 2019.

This item must not be sold to any third party vendors.

Background: Respiratory Quotient (RQ) indicates the oxidation of fat or carbohydrate as a fuel source for the body during energy expenditure. Resting Metabolic Rate (RMR) and RQ are often determined during the same metabolic test, yet 73% is known of what explains RMR and none is known of what explains RQ.Objective: This thesis aimed to partition the variance in RQ and explore the relationship between determinants thought to explain RQ, such as diet, body composition (fat mass (FM), skeletal muscle, and residual mass), and cardiorespiratory fitness (CRF).Design: This is a retrospective cohort design using data from the Energy Balance Study including 430 participants, healthy men and women between the ages of 21-35. Partitioning of RQ was be measured by conducting a linear regression model.Results: Only 4.8% of the variation in RQ was explained from the linear regression model including models for cardiorespiratory fitness, diet, and body composition. Of this explained variance, majority was explained by percent of total calories from carbohydrate (2.4%, P<0.01). 95.2% variance is still unknown about RQ.Conclusion: This data confirms that percent of total calories from carbohydrate is a significant contributor to RQ. Although the variables of interest in this thesis are not all encompassing, groundwork has been set for future research endeavors to determine RQ's role in contributing information to personalized healthcare.

ISBN: 9781085781992Subjects--Topical Terms:

517777
Nutrition.
Subjects--Index Terms:

Body composition

The Relationship between Diet, Body Composition, Cardiorespiratory Fitness and Respiratory Quotient.
LDR:02705nmm a2200385 4500 001 2266520
005 20200612084430.5
008 220629s2019 ||||||||||||||||| ||eng d
020 $a 9781085781992
035 $a (MiAaPQ)AAI13877552
035 $a AAI13877552
040 $a MiAaPQ $c MiAaPQ
100 1 $a Bouchard, Isabelle. $3 3543724
245 1 4 $a The Relationship between Diet, Body Composition, Cardiorespiratory Fitness and Respiratory Quotient.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2019
300 $a 41 p.
500 $a Source: Masters Abstracts International, Volume: 81-04.
500 $a Advisor: Hull, Holly;Shook, Robin P.
502 $a Thesis (M.S.)--University of Kansas, 2019.
506 $a This item must not be sold to any third party vendors.
506 $a This item must not be added to any third party search indexes.
520 $a Background: Respiratory Quotient (RQ) indicates the oxidation of fat or carbohydrate as a fuel source for the body during energy expenditure. Resting Metabolic Rate (RMR) and RQ are often determined during the same metabolic test, yet 73% is known of what explains RMR and none is known of what explains RQ.Objective: This thesis aimed to partition the variance in RQ and explore the relationship between determinants thought to explain RQ, such as diet, body composition (fat mass (FM), skeletal muscle, and residual mass), and cardiorespiratory fitness (CRF).Design: This is a retrospective cohort design using data from the Energy Balance Study including 430 participants, healthy men and women between the ages of 21-35. Partitioning of RQ was be measured by conducting a linear regression model.Results: Only 4.8% of the variation in RQ was explained from the linear regression model including models for cardiorespiratory fitness, diet, and body composition. Of this explained variance, majority was explained by percent of total calories from carbohydrate (2.4%, P<0.01). 95.2% variance is still unknown about RQ.Conclusion: This data confirms that percent of total calories from carbohydrate is a significant contributor to RQ. Although the variables of interest in this thesis are not all encompassing, groundwork has been set for future research endeavors to determine RQ's role in contributing information to personalized healthcare.
590 $a School code: 0099.
650 4 $a Nutrition. $3 517777
650 4 $a Physiology. $3 518431
653 $a Body composition
653 $a Cardiorespiratory fitness
653 $a Diet
653 $a Fitness
653 $a Respiratory exchange ratio
653 $a Respiratory quotient
690 $a 0570
690 $a 0719
710 2 $a University of Kansas. $b Dietetics & Nutrition. $3 3173062
773 0 $t Masters Abstracts International $g 81-04.
790 $a 0099
791 $a M.S.
792 $a 2019
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=13877552