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Francois Fraysee
38Publications
7H-index
116Citations
Publications 38
Newest
Published on Jul 1, 2019in BMJ Open 2.38
Lisa Matricciani12
Estimated H-index: 12
(UniSA: University of South Australia),
Francois Fraysee7
Estimated H-index: 7
(UniSA: University of South Australia)
+ 3 AuthorsTim Olds48
Estimated H-index: 48
(UniSA: University of South Australia)
Objectives To describe objectively measured sleep characteristics in children aged 11–12 years and in parents and to examine intergenerational concordance of sleep characteristics. Design Population-based cross-sectional study (the Child Health CheckPoint), nested within the Longitudinal Study of Australian Children. Setting Data were collected between February 2015 and March 2016 across assessment centres in Australian major cities and selected regional towns. Participants Of the participating ...
Published on Jul 1, 2019in BMJ Open 2.38
Francois Fraysee7
Estimated H-index: 7
(UniSA: University of South Australia),
Anneke Grobler1
Estimated H-index: 1
(University of Melbourne)
+ 2 AuthorsTim Olds48
Estimated H-index: 48
(UniSA: University of South Australia)
Objectives To describe the epidemiology and parent–child concordance of objectively measured physical activity in a population-based sample of Australian parent–child dyads. Design Cross-sectional study (Child Health CheckPoint) nested within the Longitudinal Study of Australian Children. Setting Assessment centres in seven Australian cities and eight regional towns or home visits; February 2015–March 2016. Participants Of all CheckPoint families (n=1874), 1261 children (50% girls) and 1358 pare...
Published on May 1, 2019in The Journal of Pediatrics 3.74
Dorothea Dumuid9
Estimated H-index: 9
(UniSA: University of South Australia),
Melissa Wake58
Estimated H-index: 58
(University of Auckland)
+ 7 AuthorsTim Olds48
Estimated H-index: 48
(UniSA: University of South Australia)
Objectives To evaluate how the reallocation of time between sleep, sedentary time, light, and moderate-vigorous activities is associated with children's body composition. Study design Population-based cross-sectional Child Health CheckPoint within the Longitudinal Study of Australian Children (n = 938 11-12 year-olds, 50% boys). Twenty-four hour activity composition via accelerometry (minutes/day of sleep, sedentary time, light, and moderate-to-vigorous physical activity [MVPA]) and 3-part body ...
Published on Apr 1, 2019in Journal of Bone and Joint Surgery-british Volume 4.30
Dominic Thewlis15
Estimated H-index: 15
(University of Adelaide),
Jasvir S. Bahl1
Estimated H-index: 1
(UniSA: University of South Australia)
+ 5 AuthorsLucian B. Solomon17
Estimated H-index: 17
(University of Adelaide)
Aims The purpose of this exploratory study was to investigate if the 24-hour activity profile (i.e. waking activities and sleep) objectively measured using wrist-worn accelerometry of patients scheduled for total hip arthroplasty (THA) improves postoperatively. Patients and Methods A total of 51 THA patients with a mean age of 64 years (24 to 87) were recruited from a single public hospital. All patients underwent THA using the same surgical approach with the same prosthesis type. The 24-hour ac...
Published on Jan 1, 2019in Journal of Science and Medicine in Sport 3.62
Braden L. Mitchell1
Estimated H-index: 1
(UniSA: University of South Australia),
Ashleigh E. Smith10
Estimated H-index: 10
(UniSA: University of South Australia)
+ 4 AuthorsJames Dollman29
Estimated H-index: 29
(UniSA: University of South Australia)
Abstract Objectives Rural Australian adults are consistently identified as insufficiently active, likely due to challenges implementing community-based physical activity programs in rural settings. On-line strategies to promote physical activity may be particularly effective in rural settings where isolation and scarcity of qualified support are potential barriers. The Rural Environments and Community Health (REACH) study evaluated the effectiveness of an online-delivered walking intervention am...
Published on Dec 1, 2018
Thomas A Debenedictis3
Estimated H-index: 3
(UniSA: University of South Australia),
Francois Fraysee7
Estimated H-index: 7
(UniSA: University of South Australia)
+ 4 AuthorsDominic Thewlis15
Estimated H-index: 15
(University of Adelaide)
The simulation of field-based exposures, such as the random whole-body vibration (WBV) experienced during periods of military land transit, in a laboratory setting, allows for greater control over potentially confounding factors. This paper describes a method used to simulate the WBV experienced during military land transit. Acceleration data were collected during military transit. These data were used as the command signal to control a 6 degree-of-freedom Stewart platform. The accelerations of ...
Published on Aug 21, 2018
Lucian B. Solomon17
Estimated H-index: 17
,
Jasvir S. Bahl1
Estimated H-index: 1
+ 4 AuthorsDominic Thewlis15
Estimated H-index: 15
Subjective outcomes used in THA show outstanding improvements in patient-reported outcomes. However, recent evidence suggests that there may be a disconnect between patient-reported and objectively measured function. The aim of this study was to investigate if physical activity and sleep patterns change from pre- to six months post primary THA. 54 patients scheduled for THA were recruited. Patients were given a wrist-worn accelerometer (GeneActiv, UK) to wear continuously for one week pre-operat...
Published on Jul 1, 2018in Bone 4.36
William Osborn1
Estimated H-index: 1
(University of Melbourne),
Peter J Simm11
Estimated H-index: 11
(University of Melbourne)
+ 13 AuthorsDavid Burgner38
Estimated H-index: 38
(Monash University, Clayton campus)
Abstract Aim To examine cross-sectional associations of children's bone health (size, density, strength) with moderate-vigorous physical activity (MVPA) and sedentary behaviour by considering: (1) duration of activity, (2) fragmentation, and (3) duration/fragmentation combined. Methods Design : Population-based cross-sectional study. Participants : 11–12 year-olds in the Longitudinal Study of Australian Children's Child Health CheckPoint. Exposures : MVPA and sedentary behaviour (7-day accelerom...
Published on Jan 1, 2018in Child Care Health and Development 1.92
Tim Olds48
Estimated H-index: 48
(UniSA: University of South Australia),
Ilea Sanders1
Estimated H-index: 1
(UniSA: University of South Australia)
+ 3 AuthorsEva Leslie33
Estimated H-index: 33
(RMIT: RMIT University)
Background The 3 “movement behaviours” of sleep, screen time, and physical activity are associated with a wide range of health outcomes in children. This study examined whether these behaviours cluster together within individuals in Australian primary school children. Methods Three datasets including 4,449 9- to 11-year-old children were interrogated—(a) Obesity Prevention and Lifestyle (OPAL), (b) the International Study of Children, Obesity, Lifestyle and Environment (ISCOLE), and (c) the Nati...
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