Utility of Actiwatch Sleep Monitor to Assess Waking Movement Behavior in Older Women
Identifieur interne : 004D31 ( Main/Exploration ); précédent : 004D30; suivant : 004D32Utility of Actiwatch Sleep Monitor to Assess Waking Movement Behavior in Older Women
Auteurs : Maya J. Lambiase [États-Unis] ; Kelley Pettee Gabriel [États-Unis] ; Yue-Fang Chang [États-Unis] ; Lewis H. Kuller [États-Unis] ; Karen A. Matthews [États-Unis]Source :
- Medicine and science in sports and exercise [ 0195-9131 ] ; 2014.
Descripteurs français
- Pascal (Inist)
- Wicri :
- topic : Personne âgée, Femme.
English descriptors
Abstract
Purpose: Wrist-worn accelerometer devices measure sleep in free-living settings. Few studies, however, have investigated whether these devices can also measure waking movement behavior (e.g., total movement volume, physical activity). The purpose of this study was to investigate the ability of a wrist-worn Actiwatch 2 sleep monitor to rank total movement volume and physical activity levels compared with a waist-worn ActiGraph GT1M accelerometer and self-reported leisure time physical activity, respectively. In addition, we compared temporally matched activity measured via the ActiGraph GT1M and Actiwatch 2 over the study week. Methods: A subset of women from the Healthy Women Study (n = 145; age, 73.3 ± 1.7 yr) wore an Actiwatch 2 on their nondominant wrist and an ActiGraph GT1M on their dominant hip for seven consecutive days. Participants recorded their leisure time physical activity in a 7-d diary and completed the past year version of the Modifiable Activity Questionnaire. Analyses were conducted for all wake periods and separately for active periods when both devices were worn. Results: Spearman rank-order correlation coefficients for total movement volume between the Actiwatch 2 and ActiGraph GT1M were significant for wake periods (r= 0.47, P < 0.001) and, to a lesser extent, for active periods (r = 0.26, P < 0.01). However, the Actiwatch 2 did not rank participant's physical activity levels similarly to self-reported leisure time physical activity estimates (K ≤ 0.05, P > 0.05). Multilevel model analyses comparing temporally matched activity measured via the ActiGraph GT1M and Actiwatch 2 suggest that the two devices yielded similar levels of activity during wake periods (B = 0.90; SE, 0.008; P < 0.001) and during active periods (B = 0.81; SE, 0.01; P < 0.001). Conclusions: A wrist-worn Actiwatch 2 may be useful for ranking total movement volume and for assessing the pattern of activity over a day in older women. However, our data do not support using a wrist-worn Actiwatch 2 device for measuring physical activity.
Affiliations:
Links toward previous steps (curation, corpus...)
- to stream PascalFrancis, to step Corpus: 000260
- to stream PascalFrancis, to step Curation: 004329
- to stream PascalFrancis, to step Checkpoint: 000049
- to stream Main, to step Merge: 004F72
- to stream Main, to step Curation: 004D31
Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en" level="a">Utility of Actiwatch Sleep Monitor to Assess Waking Movement Behavior in Older Women</title>
<author><name sortKey="Lambiase, Maya J" sort="Lambiase, Maya J" uniqKey="Lambiase M" first="Maya J." last="Lambiase">Maya J. Lambiase</name>
<affiliation wicri:level="1"><inist:fA14 i1="01"><s1>Department of Psychiatry, University of Pittsburgh School of Medicine</s1>
<s2>Pittsburgh, PA</s2>
<s3>USA</s3>
<sZ>1 aut.</sZ>
<sZ>5 aut.</sZ>
</inist:fA14>
<country>États-Unis</country>
<wicri:noRegion>Pittsburgh, PA</wicri:noRegion>
</affiliation>
</author>
<author><name sortKey="Gabriel, Kelley Pettee" sort="Gabriel, Kelley Pettee" uniqKey="Gabriel K" first="Kelley Pettee" last="Gabriel">Kelley Pettee Gabriel</name>
<affiliation wicri:level="1"><inist:fA14 i1="02"><s1>Division of Epidemiology, Human Genetics, and Environmental Sciences, University of Texas Health Science Center at Houston</s1>
<s2>Austin, TX</s2>
<s3>USA</s3>
<sZ>2 aut.</sZ>
</inist:fA14>
<country>États-Unis</country>
<wicri:noRegion>Austin, TX</wicri:noRegion>
</affiliation>
</author>
<author><name sortKey="Chang, Yue Fang" sort="Chang, Yue Fang" uniqKey="Chang Y" first="Yue-Fang" last="Chang">Yue-Fang Chang</name>
<affiliation wicri:level="4"><inist:fA14 i1="03"><s1>Department of Neurological Surgery, University of Pittsburgh</s1>
<s2>Pittsburgh, PA</s2>
<s3>USA</s3>
<sZ>3 aut.</sZ>
</inist:fA14>
<country>États-Unis</country>
<placeName><settlement type="city">Pittsburgh</settlement>
<region type="state">Pennsylvanie</region>
</placeName>
<orgName type="university">Université de Pittsburgh</orgName>
</affiliation>
</author>
<author><name sortKey="Kuller, Lewis H" sort="Kuller, Lewis H" uniqKey="Kuller L" first="Lewis H." last="Kuller">Lewis H. Kuller</name>
<affiliation wicri:level="4"><inist:fA14 i1="04"><s1>Department of Epidemiology, University of Pittsburgh</s1>
<s2>Pittsburgh, PA</s2>
<s3>USA</s3>
<sZ>4 aut.</sZ>
<sZ>5 aut.</sZ>
</inist:fA14>
<country>États-Unis</country>
<placeName><settlement type="city">Pittsburgh</settlement>
<region type="state">Pennsylvanie</region>
</placeName>
<orgName type="university">Université de Pittsburgh</orgName>
</affiliation>
</author>
<author><name sortKey="Matthews, Karen A" sort="Matthews, Karen A" uniqKey="Matthews K" first="Karen A." last="Matthews">Karen A. Matthews</name>
<affiliation wicri:level="1"><inist:fA14 i1="01"><s1>Department of Psychiatry, University of Pittsburgh School of Medicine</s1>
<s2>Pittsburgh, PA</s2>
<s3>USA</s3>
<sZ>1 aut.</sZ>
<sZ>5 aut.</sZ>
</inist:fA14>
<country>États-Unis</country>
<wicri:noRegion>Pittsburgh, PA</wicri:noRegion>
</affiliation>
<affiliation wicri:level="4"><inist:fA14 i1="04"><s1>Department of Epidemiology, University of Pittsburgh</s1>
<s2>Pittsburgh, PA</s2>
<s3>USA</s3>
<sZ>4 aut.</sZ>
<sZ>5 aut.</sZ>
</inist:fA14>
<country>États-Unis</country>
<placeName><settlement type="city">Pittsburgh</settlement>
<region type="state">Pennsylvanie</region>
</placeName>
<orgName type="university">Université de Pittsburgh</orgName>
</affiliation>
</author>
</titleStmt>
<publicationStmt><idno type="wicri:source">INIST</idno>
<idno type="inist">15-0007709</idno>
<date when="2014">2014</date>
<idno type="stanalyst">PASCAL 15-0007709 INIST</idno>
<idno type="RBID">Pascal:15-0007709</idno>
<idno type="wicri:Area/PascalFrancis/Corpus">000260</idno>
<idno type="wicri:Area/PascalFrancis/Curation">004329</idno>
<idno type="wicri:Area/PascalFrancis/Checkpoint">000049</idno>
<idno type="wicri:explorRef" wicri:stream="PascalFrancis" wicri:step="Checkpoint">000049</idno>
<idno type="wicri:doubleKey">0195-9131:2014:Lambiase M:utility:of:actiwatch</idno>
<idno type="wicri:Area/Main/Merge">004F72</idno>
<idno type="wicri:Area/Main/Curation">004D31</idno>
<idno type="wicri:Area/Main/Exploration">004D31</idno>
</publicationStmt>
<sourceDesc><biblStruct><analytic><title xml:lang="en" level="a">Utility of Actiwatch Sleep Monitor to Assess Waking Movement Behavior in Older Women</title>
<author><name sortKey="Lambiase, Maya J" sort="Lambiase, Maya J" uniqKey="Lambiase M" first="Maya J." last="Lambiase">Maya J. Lambiase</name>
<affiliation wicri:level="1"><inist:fA14 i1="01"><s1>Department of Psychiatry, University of Pittsburgh School of Medicine</s1>
<s2>Pittsburgh, PA</s2>
<s3>USA</s3>
<sZ>1 aut.</sZ>
<sZ>5 aut.</sZ>
</inist:fA14>
<country>États-Unis</country>
<wicri:noRegion>Pittsburgh, PA</wicri:noRegion>
</affiliation>
</author>
<author><name sortKey="Gabriel, Kelley Pettee" sort="Gabriel, Kelley Pettee" uniqKey="Gabriel K" first="Kelley Pettee" last="Gabriel">Kelley Pettee Gabriel</name>
<affiliation wicri:level="1"><inist:fA14 i1="02"><s1>Division of Epidemiology, Human Genetics, and Environmental Sciences, University of Texas Health Science Center at Houston</s1>
<s2>Austin, TX</s2>
<s3>USA</s3>
<sZ>2 aut.</sZ>
</inist:fA14>
<country>États-Unis</country>
<wicri:noRegion>Austin, TX</wicri:noRegion>
</affiliation>
</author>
<author><name sortKey="Chang, Yue Fang" sort="Chang, Yue Fang" uniqKey="Chang Y" first="Yue-Fang" last="Chang">Yue-Fang Chang</name>
<affiliation wicri:level="4"><inist:fA14 i1="03"><s1>Department of Neurological Surgery, University of Pittsburgh</s1>
<s2>Pittsburgh, PA</s2>
<s3>USA</s3>
<sZ>3 aut.</sZ>
</inist:fA14>
<country>États-Unis</country>
<placeName><settlement type="city">Pittsburgh</settlement>
<region type="state">Pennsylvanie</region>
</placeName>
<orgName type="university">Université de Pittsburgh</orgName>
</affiliation>
</author>
<author><name sortKey="Kuller, Lewis H" sort="Kuller, Lewis H" uniqKey="Kuller L" first="Lewis H." last="Kuller">Lewis H. Kuller</name>
<affiliation wicri:level="4"><inist:fA14 i1="04"><s1>Department of Epidemiology, University of Pittsburgh</s1>
<s2>Pittsburgh, PA</s2>
<s3>USA</s3>
<sZ>4 aut.</sZ>
<sZ>5 aut.</sZ>
</inist:fA14>
<country>États-Unis</country>
<placeName><settlement type="city">Pittsburgh</settlement>
<region type="state">Pennsylvanie</region>
</placeName>
<orgName type="university">Université de Pittsburgh</orgName>
</affiliation>
</author>
<author><name sortKey="Matthews, Karen A" sort="Matthews, Karen A" uniqKey="Matthews K" first="Karen A." last="Matthews">Karen A. Matthews</name>
<affiliation wicri:level="1"><inist:fA14 i1="01"><s1>Department of Psychiatry, University of Pittsburgh School of Medicine</s1>
<s2>Pittsburgh, PA</s2>
<s3>USA</s3>
<sZ>1 aut.</sZ>
<sZ>5 aut.</sZ>
</inist:fA14>
<country>États-Unis</country>
<wicri:noRegion>Pittsburgh, PA</wicri:noRegion>
</affiliation>
<affiliation wicri:level="4"><inist:fA14 i1="04"><s1>Department of Epidemiology, University of Pittsburgh</s1>
<s2>Pittsburgh, PA</s2>
<s3>USA</s3>
<sZ>4 aut.</sZ>
<sZ>5 aut.</sZ>
</inist:fA14>
<country>États-Unis</country>
<placeName><settlement type="city">Pittsburgh</settlement>
<region type="state">Pennsylvanie</region>
</placeName>
<orgName type="university">Université de Pittsburgh</orgName>
</affiliation>
</author>
</analytic>
<series><title level="j" type="main">Medicine and science in sports and exercise</title>
<title level="j" type="abbreviated">Med. sci. sports exerc.</title>
<idno type="ISSN">0195-9131</idno>
<imprint><date when="2014">2014</date>
</imprint>
</series>
</biblStruct>
</sourceDesc>
<seriesStmt><title level="j" type="main">Medicine and science in sports and exercise</title>
<title level="j" type="abbreviated">Med. sci. sports exerc.</title>
<idno type="ISSN">0195-9131</idno>
</seriesStmt>
</fileDesc>
<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Behavior</term>
<term>Elderly</term>
<term>Female</term>
<term>Physical exercise</term>
<term>Sleep</term>
<term>Woman</term>
</keywords>
<keywords scheme="Pascal" xml:lang="fr"><term>Sommeil</term>
<term>Comportement</term>
<term>Personne âgée</term>
<term>Femme</term>
<term>Femelle</term>
<term>Exercice physique</term>
</keywords>
<keywords scheme="Wicri" type="topic" xml:lang="fr"><term>Personne âgée</term>
<term>Femme</term>
</keywords>
</textClass>
</profileDesc>
</teiHeader>
<front><div type="abstract" xml:lang="en">Purpose: Wrist-worn accelerometer devices measure sleep in free-living settings. Few studies, however, have investigated whether these devices can also measure waking movement behavior (e.g., total movement volume, physical activity). The purpose of this study was to investigate the ability of a wrist-worn Actiwatch 2 sleep monitor to rank total movement volume and physical activity levels compared with a waist-worn ActiGraph GT1M accelerometer and self-reported leisure time physical activity, respectively. In addition, we compared temporally matched activity measured via the ActiGraph GT1M and Actiwatch 2 over the study week. Methods: A subset of women from the Healthy Women Study (n = 145; age, 73.3 ± 1.7 yr) wore an Actiwatch 2 on their nondominant wrist and an ActiGraph GT1M on their dominant hip for seven consecutive days. Participants recorded their leisure time physical activity in a 7-d diary and completed the past year version of the Modifiable Activity Questionnaire. Analyses were conducted for all wake periods and separately for active periods when both devices were worn. Results: Spearman rank-order correlation coefficients for total movement volume between the Actiwatch 2 and ActiGraph GT1M were significant for wake periods (r= 0.47, P < 0.001) and, to a lesser extent, for active periods (r = 0.26, P < 0.01). However, the Actiwatch 2 did not rank participant's physical activity levels similarly to self-reported leisure time physical activity estimates (K ≤ 0.05, P > 0.05). Multilevel model analyses comparing temporally matched activity measured via the ActiGraph GT1M and Actiwatch 2 suggest that the two devices yielded similar levels of activity during wake periods (B = 0.90; SE, 0.008; P < 0.001) and during active periods (B = 0.81; SE, 0.01; P < 0.001). Conclusions: A wrist-worn Actiwatch 2 may be useful for ranking total movement volume and for assessing the pattern of activity over a day in older women. However, our data do not support using a wrist-worn Actiwatch 2 device for measuring physical activity.</div>
</front>
</TEI>
<affiliations><list><country><li>États-Unis</li>
</country>
<region><li>Pennsylvanie</li>
</region>
<settlement><li>Pittsburgh</li>
</settlement>
<orgName><li>Université de Pittsburgh</li>
</orgName>
</list>
<tree><country name="États-Unis"><noRegion><name sortKey="Lambiase, Maya J" sort="Lambiase, Maya J" uniqKey="Lambiase M" first="Maya J." last="Lambiase">Maya J. Lambiase</name>
</noRegion>
<name sortKey="Chang, Yue Fang" sort="Chang, Yue Fang" uniqKey="Chang Y" first="Yue-Fang" last="Chang">Yue-Fang Chang</name>
<name sortKey="Gabriel, Kelley Pettee" sort="Gabriel, Kelley Pettee" uniqKey="Gabriel K" first="Kelley Pettee" last="Gabriel">Kelley Pettee Gabriel</name>
<name sortKey="Kuller, Lewis H" sort="Kuller, Lewis H" uniqKey="Kuller L" first="Lewis H." last="Kuller">Lewis H. Kuller</name>
<name sortKey="Matthews, Karen A" sort="Matthews, Karen A" uniqKey="Matthews K" first="Karen A." last="Matthews">Karen A. Matthews</name>
<name sortKey="Matthews, Karen A" sort="Matthews, Karen A" uniqKey="Matthews K" first="Karen A." last="Matthews">Karen A. Matthews</name>
</country>
</tree>
</affiliations>
</record>
Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Wicri/Amérique/explor/PittsburghV1/Data/Main/Exploration
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 004D31 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd -nk 004D31 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien |wiki= Wicri/Amérique |area= PittsburghV1 |flux= Main |étape= Exploration |type= RBID |clé= Pascal:15-0007709 |texte= Utility of Actiwatch Sleep Monitor to Assess Waking Movement Behavior in Older Women }}
This area was generated with Dilib version V0.6.38. |