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

Comparing Measures of Physical Activ...

Nehrkorn-Bailey, Abigail M.

FindBook

Google Book

Amazon

博客來

Comparing Measures of Physical Activity Intensity, Duration, and Frequency Using Receiver Operator Characteristic Curve Analyses.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Comparing Measures of Physical Activity Intensity, Duration, and Frequency Using Receiver Operator Characteristic Curve Analyses./
作者:	Nehrkorn-Bailey, Abigail M.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2019,
面頁冊數:	147 p.
附註:	Source: Dissertations Abstracts International, Volume: 81-12.
Contained By:	Dissertations Abstracts International81-12.
標題:	Physiology. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=27811954
ISBN:	9781658406352

Comparing Measures of Physical Activity Intensity, Duration, and Frequency Using Receiver Operator Characteristic Curve Analyses.
Nehrkorn-Bailey, Abigail M.

Comparing Measures of Physical Activity Intensity, Duration, and Frequency Using Receiver Operator Characteristic Curve Analyses. - Ann Arbor : ProQuest Dissertations & Theses, 2019 - 147 p.

Source: Dissertations Abstracts International, Volume: 81-12.

Thesis (Ph.D.)--West Virginia University, 2019.

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

The United States Department of Health and Human Services (HHS) recommends adults to engage in weekly moderate- or vigorous-intensity physical activity based on its association with various physical and psychological health benefits (HHS, 2008; Schoenborn, Adams, & Peregoy, 2013). These physical activity recommendations contain important information for three physical activity components: intensity, frequency, and duration. The current physical activity literature contains gaps, with a lack of specificity for which components are being studied. Although some of the literature does describe the physical activity components, there are many discrepancies in the level of agreement across subjective and objective measures, along with the same basic analyses being utilized across studies. With data from 56 adults (Mage = 43.2, SD= 16.5), receiver operator characteristic (ROC) curve analyses were conducted for two weeks' data to assess the agreement between a one-week recall questionnaire, daily diary accounts, and accelerometer data for the three physical activity components (intensity, frequency, and duration). For intensity and duration of physical activity, the worst agreement existed between the accelerometer and questionnaire, with the area under the curve (AUC) indicating chance agreement at best (AUC = 0.447-0.598); the accelerometer and daily diary measures generally exhibited chance-to-poor agreement (AUC = 0.331-0.671); and the daily diary and questionnaire showed the largest range from chance-to-good agreement (AUC = 0.482-0.794). The strongest agreement was shown for frequency of physical activity, especially for mild-intensity physical activity (AUC = 0.836) at Week 2. Across moderate-to-vigorous-, mild-, and sedentary-intensity behaviors, participants experienced the worst agreement for sedentary behaviors (AUC = 0.331-0.686), with most of the sedentary-specific intensity, frequency, and duration AUC scores showing chance agreement. The current study significantly expands and adds to the literature by focusing on all three physical activity components across moderate-to-vigorous-, mild-, and sedentary-intensity activities, as well as utilizing advanced analyses to assess the agreement between two subjective measures and one objective measure. The findings highlight the importance of educating adults about the physical activity components, different intensities, and methods of tracking and reporting activity.

ISBN: 9781658406352Subjects--Topical Terms:

518431
Physiology.
Subjects--Index Terms:

Physical activity

Comparing Measures of Physical Activity Intensity, Duration, and Frequency Using Receiver Operator Characteristic Curve Analyses.
LDR:03741nmm a2200397 4500 001 2273954
005 20201109125356.5
008 220629s2019 ||||||||||||||||| ||eng d
020 $a 9781658406352
035 $a (MiAaPQ)AAI27811954
035 $a (MiAaPQ)WVirginia4831
035 $a AAI27811954
040 $a MiAaPQ $c MiAaPQ
100 1 $a Nehrkorn-Bailey, Abigail M. $3 3551414
245 1 0 $a Comparing Measures of Physical Activity Intensity, Duration, and Frequency Using Receiver Operator Characteristic Curve Analyses.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2019
300 $a 147 p.
500 $a Source: Dissertations Abstracts International, Volume: 81-12.
500 $a Advisor: Patrick, Julie Hicks;Hash, Kristina.
502 $a Thesis (Ph.D.)--West Virginia University, 2019.
506 $a This item must not be sold to any third party vendors.
520 $a The United States Department of Health and Human Services (HHS) recommends adults to engage in weekly moderate- or vigorous-intensity physical activity based on its association with various physical and psychological health benefits (HHS, 2008; Schoenborn, Adams, & Peregoy, 2013). These physical activity recommendations contain important information for three physical activity components: intensity, frequency, and duration. The current physical activity literature contains gaps, with a lack of specificity for which components are being studied. Although some of the literature does describe the physical activity components, there are many discrepancies in the level of agreement across subjective and objective measures, along with the same basic analyses being utilized across studies. With data from 56 adults (Mage = 43.2, SD= 16.5), receiver operator characteristic (ROC) curve analyses were conducted for two weeks' data to assess the agreement between a one-week recall questionnaire, daily diary accounts, and accelerometer data for the three physical activity components (intensity, frequency, and duration). For intensity and duration of physical activity, the worst agreement existed between the accelerometer and questionnaire, with the area under the curve (AUC) indicating chance agreement at best (AUC = 0.447-0.598); the accelerometer and daily diary measures generally exhibited chance-to-poor agreement (AUC = 0.331-0.671); and the daily diary and questionnaire showed the largest range from chance-to-good agreement (AUC = 0.482-0.794). The strongest agreement was shown for frequency of physical activity, especially for mild-intensity physical activity (AUC = 0.836) at Week 2. Across moderate-to-vigorous-, mild-, and sedentary-intensity behaviors, participants experienced the worst agreement for sedentary behaviors (AUC = 0.331-0.686), with most of the sedentary-specific intensity, frequency, and duration AUC scores showing chance agreement. The current study significantly expands and adds to the literature by focusing on all three physical activity components across moderate-to-vigorous-, mild-, and sedentary-intensity activities, as well as utilizing advanced analyses to assess the agreement between two subjective measures and one objective measure. The findings highlight the importance of educating adults about the physical activity components, different intensities, and methods of tracking and reporting activity.
590 $a School code: 0256.
650 4 $a Physiology. $3 518431
650 4 $a Public health. $3 534748
650 4 $a Health care management. $3 2122906
650 4 $a Kinesiology. $3 517627
653 $a Physical activity
653 $a Validity
653 $a Activity duration
653 $a Activity intensity
653 $a Activity frequency
690 $a 0575
690 $a 0769
690 $a 0573
690 $a 0719
710 2 $a West Virginia University. $3 1017532
773 0 $t Dissertations Abstracts International $g 81-12.
790 $a 0256
791 $a Ph.D.
792 $a 2019
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=27811954