about
Field evaluation of a random forest activity classifier for wrist-worn accelerometer data.Maintaining a Healthy BMI: Data From a 16-Year Study of Young Australian Women.Chronic disease risks and use of a smartphone application during a physical activity and dietary intervention in Australian truck drivers.The impact of an m-Health financial incentives program on the physical activity and diet of Australian truck drivers.Testing the activitystat hypothesis: a randomised controlled trial protocolTime regained: when people stop a physical activity program, how does their time use change? A randomised controlled trial.Accuracy of Heart Rate Watches: Implications for Weight Management.Testing the activitystat hypothesis: a randomised controlled trial.Effects of exercise intensity and nutrition advice on myocardial function in obese children and adolescents: a multicentre randomised controlled trial study protocol.Estimating Physical Activity and Sedentary Behavior in a Free-Living Context: A Pragmatic Comparison of Consumer-Based Activity Trackers and ActiGraph AccelerometryThe ActivityStat hypothesis: the concept, the evidence and the methodologies.Low-Volume High-Intensity Interval Training Is Sufficient to Ameliorate the Severity of Metabolic Syndrome.Weight Gain, Overweight, and Obesity: Determinants and Health Outcomes from the Australian Longitudinal Study on Women's Health.NAFLD in clinical practice: Can simple blood and anthropometric markers be used to detect change in liver fat measured by 1 H-MRS?Results From Australia's 2016 Report Card on Physical Activity for Children and Youth.Long-term Effects of Physical Activity Level on Changes in Healthy Body Mass Index Over 12 Years in Young Adult Women.Assessing sedentary behavior with the GENEActiv: introducing the sedentary sphere.The elasticity of time: associations between physical activity and use of time in adolescents.Development and evaluation of an adult use-of-time instrument with an energy expenditure focus.Introducing novel approaches for examining the variability of individuals' physical activity.Past-day recall of sedentary time: Validity of a self-reported measure of sedentary time in a university population.The validity of the GENEActiv wrist-worn accelerometer for measuring adult sedentary time in free living.Validity of a Self-Report Recall Tool for Estimating Sedentary Behavior in Adults.Nine year changes in sitting time in young and mid-aged Australian women: findings from the Australian Longitudinal Study for Women's Health.12 min/week of high-intensity interval training reduces aortic reservoir pressure in individuals with metabolic syndrome: a randomized trial.Study protocol for the FITR Heart Study: Feasibility, safety, adherence, and efficacy of high intensity interval training in a hospital-initiated rehabilitation program for coronary heart disease.Results from Australia’s 2014 Report Card on Physical Activity for Children and YouthAustralia and Other Nations Are Failing to Meet Sedentary Behaviour Guidelines for Children: Implications and a Way ForwardIn search of lost time: When people undertake a new exercise program, where does the time come from? A randomized controlled trialThe feasibility and acceptability of morning versus evening exercise for overweight and obese adults: A randomized controlled trialValidity of the Apple Watch® for monitoring push counts in people using manual wheelchairsA source of systematic bias in self-reported physical activity: The cutpoint bias hypothesisEffect of High-Intensity Interval Training on Fitness, Fat Mass and Cardiometabolic Biomarkers in Children with Obesity: A Randomised Controlled TrialReliability of a multi-domain sedentary behaviour questionnaire and comparability to an overall sitting time estimateEffect of High-Intensity Interval Training on Visceral and Liver Fat in Cardiac Rehabilitation: A Randomized Controlled Trial
P50
Q31111959-099965D0-1C90-49DD-B8F8-DC48D79213BDQ31143459-F16D5854-5106-4BA0-AE66-1E9633254E87Q33446477-654B8CA2-F6E9-470E-9E16-004D8BCC48B3Q33454551-96176074-E80C-44A8-AEB4-882623D2A3F8Q34436052-A3D172CE-7AB2-49C6-8F3F-A8069B57C8FCQ35646032-E732E4AA-434C-4A9C-B7B8-8605BB513342Q36032468-1F1AF620-7ED3-4FC2-87E8-6D39CF812A2CQ36117355-523AA1F7-D9CE-4FB6-9C66-C0E281DB914FQ36773298-2184F31F-D6C0-4BDC-8C94-D4BC027D0B31Q37273915-E501A23C-2141-4A39-AF45-955088135318Q38074919-E336FC6B-9CEA-457C-884A-6734CF9B995AQ38605823-123D3391-E52D-48F3-9F4A-F794CB5C81BBQ38655447-8FE0BAFB-4F4C-4001-B7CE-684D3FAC8C3CQ38744017-9CC7CB1E-83EF-48E1-B12E-308B658461F6Q39184504-FF86BA60-5723-4EEC-BC2B-5F31E540B673Q39796727-F4697779-B5D3-493E-8537-C71898B098E6Q43567509-C7668041-096A-4E8D-A388-2518A40770A9Q43724485-749D743D-F19D-4334-BEE7-3398993904B9Q43797365-6E1895DC-BCB3-4AC9-A46A-D09EE0834923Q45334683-785413AB-081E-47BE-A26C-787F0F8F391EQ47988397-04304A88-6149-48AC-96D4-86C0C9D218ACQ50556185-5B2773F9-22E3-4CDE-A943-FDC27FE4A906Q50584300-F47D73C6-8961-43F2-BB88-D80763547234Q51100439-47AF228C-2A01-41CC-B993-25CBBE718191Q51227227-B22BB701-95AA-457D-B101-9D4C8056FFE1Q55360581-83046C82-A611-4989-8EFC-E3883CD5F969Q57198039-4E0422F0-A2B9-4A64-BF2D-3335D6B88661Q57530506-F6D5B470-D314-4C4D-B9D7-7666E6A80E11Q58428486-1ABAF035-0B1C-48C8-83D0-CAAF2056BB15Q61795948-229B0845-07C6-4B75-8162-ABE604878B93Q62683402-1E8AC5AA-8C13-4657-88E6-FEE0A91CBB4EQ63457751-16AB12C9-A2E7-4D22-8A1D-3C8BA8963097Q63457752-A44FB75A-FF28-4B2B-862B-D61B7467DB55Q91818758-C4C28CC6-288D-4BA6-A123-12F2CEA51B9AQ96016564-A792829C-2062-4667-8CC7-5CACF073C9EA
P50
description
hulumtuese
@sq
researcher
@en
wetenschapper
@nl
հետազոտող
@hy
name
Sjaan R Gomersall
@ast
Sjaan R Gomersall
@en
Sjaan R Gomersall
@es
Sjaan R Gomersall
@nl
type
label
Sjaan R Gomersall
@ast
Sjaan R Gomersall
@en
Sjaan R Gomersall
@es
Sjaan R Gomersall
@nl
prefLabel
Sjaan R Gomersall
@ast
Sjaan R Gomersall
@en
Sjaan R Gomersall
@es
Sjaan R Gomersall
@nl
P106
P1153
36518718000
P21
P31
P496
0000-0001-6808-0180