Bronwyn Clark

Dr. Bronwyn Clark

School of Human Movement and Nutrition Sciences, The University of Queensland, Brisbane, QLD 4072, Australia
orcid

Research Focus & Metrics

Academic Career Length

19Years (2008-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 August 2011 in American Journal of Preventive Medicine
Verified
Journal Article
Closed access
GHGenevieve Nissa Healy
Genevieve Nissa Healy
Bronwyn ClarkBronwyn Clark
Bronwyn Clark
EWElisabeth A.H. Winkler
Elisabeth A.H. Winkler
PGPaul Gardiner
Paul Gardiner
WBWendy J Brown
Wendy J Brown
CMCharles E. Matthews
Charles E. Matthews

1 October 2010 in American Journal of Preventive Medicine
Verified
Journal Article
Closed access
JUJANNIQUE van Uffelen
JANNIQUE van Uffelen
JWJason Wong
Jason Wong
JCJosephine Chau
Josephine Chau
HPHidde P. van der Ploeg
Hidde P. van der Ploeg
IRIngrid Riphagen
Ingrid Riphagen
WBWendy J Brown
Wendy J Brown

26 October 2012 in International Journal of Behavioral Nutrition and Physical Activity
Verified
Journal Article
Open access
PDF file
ATAlicia A Thorp
Alicia A Thorp
GHGenevieve Nissa Healy
Genevieve Nissa Healy
EWElisabeth Winkler
Elisabeth Winkler
Bronwyn ClarkBronwyn Clark
Bronwyn Clark
PGPaul Gardiner
Paul Gardiner
DDDavid Dunstan
David Dunstan
Background: To examine sedentary time, prolonged sedentary bouts and physical activity in Australian employees from different workplace settings, within work and non-work contexts. Methods: A convenience sample of 193 employees working in offices (131), call centres (36) and customer service (26) was recruited. Actigraph GT1M accelerometers were used to derive percentages of time spent sedentary (<100 counts per minute; cpm), in prolonged sedentary bouts (≥20 minutes or ≥30 minutes), light-intensity activity (100–1951 cpm) and moderate-to-vigorous physical activity (MVPA; ≥1952 cpm). Using mixed models adjusted for confounders, these were compared for: work days versus non-work days; work hours versus non-work hours (work days only); and, across workplace settings. Results: Working hours were mostly spent sedentary (77.0%, 95%CI: 76.3, 77.6), with approximately half of this time accumulated in prolonged bouts of 20 minutes or more. There were significant (p<0.05) differences in all outcomes between workdays and non-work days, and, on workdays, between work- versus non-work hours. Results consistently showed “work” was more sedentary and had less light-intensity activity, than “non-work”. The period immediately after work appeared important for MVPA. There were significant (p<0.05) differences in all sedentary and activity outcomes occurring during work hours across the workplace settings. Call-centre workers were generally the most sedentary and least physically active at work; customer service workers were typically the least sedentary and the most active at work. Conclusion: The workplace is a key setting for prolonged sedentary time, especially for some occupational groups, and the potential health risk burden attached requires investigation. Future workplace regulations and health promotion initiatives for sedentary occupations to reduce prolonged sitting time should be considered.

23 December 2008 in Obesity Reviews
Verified
Journal Article
Closed access
PDF file
Bronwyn ClarkBronwyn Clark
Bronwyn Clark
TSTakemi Sugiyama
Takemi Sugiyama
GHGenevieve Nissa Healy
Genevieve Nissa Healy
JSJo Salmon
Jo Salmon
DDDavid Dunstan
David Dunstan
NONeville Owen
Neville Owen

1 January 2017 in Journal of Science and Medicine in Sport
Verified
Journal Article
Closed access
TPToby G. Pavey
Toby G. Pavey
NGNicholas D. Gilson
Nicholas D. Gilson
SGSjaan Gomersall
Sjaan Gomersall
Bronwyn ClarkBronwyn Clark
Bronwyn Clark
Stewart TrostStewart Trost
Stewart Trost

2 April 2020 in Annual Review of Public Health
Verified
Journal Article
Open access
NONeville Owen
Neville Owen
GHGenevieve Nissa Healy
Genevieve Nissa Healy
PDPaddy C Dempsey
Paddy C Dempsey
JSJo Salmon
Jo Salmon
ATAnna Timperio
Anna Timperio
DDDavid Dunstan
David Dunstan
In developed and developing countries, social, economic, and environmental transitions have led to physical inactivity and large amounts of time spent sitting. Research is now unraveling the adverse public health consequences of too much sitting. We describe improvements in device-based measurement that are providing new insights into sedentary behavior and health. We consider the implications of research linking evidence from epidemiology and behavioral science with mechanistic insights into the underlying biology of sitting time. Such evidence has led to new sedentary behavior guidelines and initiatives. We highlight ways that this emerging knowledge base can inform public health strategy: First, we consider epidemiologic and experimental evidence on the health consequences of sedentary behavior; second, we describe solutions-focused research from initiatives in workplaces and schools. To inform a broad public health strategy, researchers need to pursue evidence-informed collaborations with occupational health, education, and other sectors.