Using functional principal component analysis (FPCA) to quantify sitting patterns derived from wearable sensors

Background Sedentary behavior (SB) is a recognized risk factor for many chronic diseases. ActiGraph and activPAL are two commonly used wearable accelerometers in SB research. The former measures body movement and the latter measures body posture. The goal of the current study is to quantify the patt...

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Veröffentlicht in:	The international journal of behavioral nutrition and physical activity Jg. 21; H. 1; S. 48
Hauptverfasser:	Zablocki, Rong W., Hartman, Sheri J., Di, Chongzhi, Zou, Jingjing, Carlson, Jordan A., Hibbing, Paul R., Rosenberg, Dori E., Greenwood-Hickman, Mikael Anne, Dillon, Lindsay, LaCroix, Andrea Z., Natarajan, Loki
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London BioMed Central 26.04.2024 BioMed Central Ltd BMC
Schlagworte:	Accelerometer Accelerometry - instrumentation Accelerometry - methods actigraphy Actigraphy - instrumentation Actigraphy - methods Aged Behavioral Sciences Biosensors Blood Pressure - physiology Chronic diseases Clinical Nutrition diastolic blood pressure Exercise - physiology Female Functional Principal Component Analysis (FPCA) Health aspects Health Promotion and Disease Prevention Humans Medicine Medicine & Public Health Methods Middle Aged Movement Multilevel FPCA Overweight Postmenopausal women postmenopause Postmenopause - physiology posture Principal Component Analysis Principal components analysis Risk factors Sedentary Behavior Sedentary Behavior (SB) sedentary lifestyle Sensors Sitting Position time series analysis waist Wearable Electronic Devices United States Functional Principal Component Analysis (FPCA) Accelerometer Sedentary Behavior (SB) Multilevel FPCA
ISSN:	1479-5868, 1479-5868
Online-Zugang:	Volltext
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