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Faculty of Science, Medicine and Health - Papers: part A

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2015

Physical activity

Articles 1 - 2 of 2

Full-Text Articles in Social and Behavioral Sciences

Risk Factors For Coronary Heart Disease Among Asian Indians Living In Australia, Ritin Fernandez, John X. Rolley, Rohan Rajaratnam, Subbaram Sundar, Navin C. Patel, Patricia M. Davidson Jan 2015

Risk Factors For Coronary Heart Disease Among Asian Indians Living In Australia, Ritin Fernandez, John X. Rolley, Rohan Rajaratnam, Subbaram Sundar, Navin C. Patel, Patricia M. Davidson

Faculty of Science, Medicine and Health - Papers: part A

The aim of this study was to assess the coronary heart disease risk factors in the Asian Indian community living in a large city in Australia. A cross-sectional survey was conducted at the Australia India Friendship Fair in 2010. All people of Asian Indian descent who attended the Fair and visited the health promotion stall were eligible to participate in the study if they self-identified as of Asian Indian origin, were aged between 18 and 80 years, and were able to speak English. Blood pressure, blood glucose, waist circumference, height, and weight were measured by a health professional. Smoking, cholesterol …


Prediction Of Activity Type In Preschool Children Using Machine Learning Techniques, M. Hagenbuchner, Dylan P. Cliff, Stewart Trost, Van Tuc Nguyen, Gregory E. Peoples Jan 2015

Prediction Of Activity Type In Preschool Children Using Machine Learning Techniques, M. Hagenbuchner, Dylan P. Cliff, Stewart Trost, Van Tuc Nguyen, Gregory E. Peoples

Faculty of Science, Medicine and Health - Papers: part A

Objectives Recent research has shown that machine learning techniques can accurately predict activity classes from accelerometer data in adolescents and adults. The purpose of this study is to develop and test machine learning models for predicting activity type in preschool-aged children. Design Participants completed 12 standardised activity trials (TV, reading, tablet game, quiet play, art, treasure hunt, cleaning up, active game, obstacle course, bicycle riding) over two laboratory visits. Methods Eleven children aged 3-6 years (mean age = 4.8 ± 0.87; 55% girls) completed the activity trials while wearing an ActiGraph GT3X+ accelerometer on the right hip. Activities were categorised …