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Barbara E. Ainsworth
Shanghai University of Sport
489Publications
84H-index
45kCitations
Publications 496
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#1Peijie ChenH-Index: 10
#2Lijuan MaoH-Index: 1
Last.Fuzhong LiH-Index: 42
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#1Nucharapon Liangruenrom (MU: Mahidol University)H-Index: 2
#2Melinda Craike (VU: Victoria University, Australia)H-Index: 15
Last.Zeljko Pedisic (VU: Victoria University, Australia)H-Index: 15
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Globally, the International Classification of Activities for Time-Use Statistics (ICATUS) is one of the most widely used time-use classifications to identify time spent in various activities. Comprehensive 24-h activities that can be extracted from ICATUS provide possible implications for the use of time-use data in relation to activity-health associations; however, these activities are not classified in a way that makes such analysis feasible. This study, therefore, aimed to develop criteria fo...
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#1Barbara E. Ainsworth (SUS: Shanghai University of Sport)H-Index: 84
#2Fuzhong Li (Oregon Research Institute)H-Index: 42
Last.J. Larry Durstine (USC: University of South Carolina)H-Index: 27
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#1Chitra Mohan (ASU: Arizona State University)
#2Barbara E. Ainsworth (ASU: Arizona State University)H-Index: 84
Last.Natasha Tasevska (ASU: Arizona State University)H-Index: 16
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#1Rodney P. Joseph (ASU: Arizona State University)H-Index: 9
Last.Colleen Keller (ASU: Arizona State University)H-Index: 21
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Abstract Background African American (AA) women perform low levels of physical activity (PA) and are disproportionally burdened by cardiometabolic disease conditions when compared to White women and the U.S. population as a whole. These disparities emphasize the need for innovative and effective interventions to increase PA and reduce cardiometabolic disease risk among AA women. Recent evidence suggests that mobile health (mHealth) interventions have the potential to increase PA and reduce cardi...
1 CitationsSource
#1Alberto Flórez-Pregonero (Pontifical Xavierian University)
#2Matthew S. Buman (ASU: Arizona State University)
Last.Barbara E. Ainsworth (ASU: Arizona State University)H-Index: 84
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Background: Published accelerometer cut-points have limited accuracy in measuring sedentary (SED) and stationary time (STA) despite hip or wrist placement. Few studies have evaluated established cu...
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#1Miranda L. Larouche (ASU: Arizona State University)
#2Sarah L. Mullane (ASU: Arizona State University)H-Index: 6
Last.Matthew P. Buman (ASU: Arizona State University)H-Index: 29
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Introduction: Desk-based office workers are at occupational risk for poor health outcomes from excessive time spent sitting. Sit-stand workstations are used to mitigate sitting, but lack of workstation usage has been observed. Point-of-choice (PoC) prompts offer a complementary strategy for office workers to break up their sitting time. Study purpose: The purpose of this study was to examine the preliminary efficacy, preference, and acceptability of a theory-driven (i.e. 40 unique prompts encomp...
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#1Arindam Dutta (ASU: Arizona State University)H-Index: 3
#2Owen Ma (ASU: Arizona State University)H-Index: 2
Last.Daniel W. BlissH-Index: 29
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2 CitationsSource
#1Jing-Jing WangH-Index: 3
#2Mei WangH-Index: 1
Last.Yang Gao (Hong Kong Baptist University)H-Index: 48
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Abstract This study examined whether physical activity (PA) mediated the relationships of four PA-related environmental settings (home, school, neighborhood environments and convenient facilities) with body mass index (BMI) among Chinese adolescents aged 13–18 years. Two setting indicators were assessed: (1) perceived availability of environmental resources and (2) perceived importance of environmental resources. Mediation analysis indicated that PA mediated the associations of perceived availab...
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