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Full-Text Articles in Medicine and Health Sciences
Accelerometer-Determined Physical Behavior Metrics And Their Associations With Sarcopenia Among Oldest-Old Adults, Eric M. Eberl
Accelerometer-Determined Physical Behavior Metrics And Their Associations With Sarcopenia Among Oldest-Old Adults, Eric M. Eberl
Masters Theses
INTRODUCTION: Sarcopenia is a loss of muscle function and muscle mass which frequently occurs among the oldest-old adult population (aged 85+ years). The analysis of accelerometer-determined physical behavior volumes and patterns of oldest-old adults might provide novel insights into the associations with sarcopenia and its components. METHODS: A total of 145 participants in the primary sample and 87 participants in the subsample with a mean age of 88.2 (2.5) years from the Health, Aging, and Body Composition study cohort provided cross-sectional data of handgrip strength, appendicular lean mass, gait speed, and accelerometry. Probable, confirmed, and severe sarcopenia were assessed based …
Development And Cross-Validation Of A Cadence-Based Metabolic Equation For Walking, Christopher C. Moore
Development And Cross-Validation Of A Cadence-Based Metabolic Equation For Walking, Christopher C. Moore
Masters Theses
Feasibility Of A Combined Physical Activity And Sleep Education Intervention For Girls Living In A Low Socioeconomic Status Urban Community, Cory J. Greever
Feasibility Of A Combined Physical Activity And Sleep Education Intervention For Girls Living In A Low Socioeconomic Status Urban Community, Cory J. Greever
Doctoral Dissertations
Declining sleep duration and poor sleep quality is a public health epidemic disproportionately effecting elementary age girls living in low socioeconomic status urban communities. The Girls Dancing and Sleeping for Health (Girls DASH) program was designed to test the feasibility, acceptability, and efficacy of a combined physical activity and sleep education program in this population. In combination with baseline data from a previously conducted intervention in elementary age urban girls living in a low SES community in Springfield, MA, results from a cross-sectional analysis indicated that greater screen time was positively associated with parental reports of child’s sleep quality. Additionally, …
Impact Of A Preschool Workplace Intervention On Classroom Teachers’ Physical Activity Levels And Quality Of Life, Ogechi O. Nwaokelemeh
Impact Of A Preschool Workplace Intervention On Classroom Teachers’ Physical Activity Levels And Quality Of Life, Ogechi O. Nwaokelemeh
Doctoral Dissertations
PURPOSE: To examine the feasibility and efficacy of a three-month, cluster-randomized workplace PA intervention on PA levels and wellbeing measures in preschool classroom teachers. METHODS: Ten preschool centers were randomized into two groups; short-bouts of structured PA (SBS-PA, n=5) or traditional unstructured PA (TRAD-PA, n=5). The SBS-PA intervention consisted of 10-minute structured, teacher-led PA routines implemented within the classroom setting, followed by 20 minutes of unstructured playtime. The TRAD-PA intervention consisted of supervised 30-minute of unstructured free playtime. Both interventions were implemented during the morning and afternoon designated gross-motor playtime for 30 min/session, five days/week for three months. Participants’ …
Calibrating A Novel Multi-Sensor Physical Activity Measurement System, D. John, S. Liu, J. Saski, C. Howe, J. Staudenmayer, R. Gao, Patty Freedson
Calibrating A Novel Multi-Sensor Physical Activity Measurement System, D. John, S. Liu, J. Saski, C. Howe, J. Staudenmayer, R. Gao, Patty Freedson
Patty S. Freedson
Advancing the field of physical activity (PA) monitoring requires the development of innovative multi-sensor measurement systems that are feasible in the free-living environment. The use of novel analytical techniques to combine and process these multiple sensor signals is equally important. This paper, describes a novel multi-sensor ‘Integrated PA Measurement System’ (IMS), the lab-based methodology used to calibrate the IMS, techniques used to predict multiple variables from the sensor signals, and proposes design changes to improve the feasibility of deploying the IMS in the free-living environment. The IMS consists of hip and wrist acceleration sensors, two piezoelectric respiration sensors on the …