Timothy S Olds

Summary

Affiliation: University of South Australia
Country: Australia

Publications

  1. ncbi Screenieboppers and extreme screenies: the place of screen time in the time budgets of 10-13 year-old Australian children
    Tim Olds
    School of Health Sciences, University of South Australia, PO Box 2471, Adelaide, South Australia 5001
    Aust N Z J Public Health 30:137-42. 2006
  2. ncbi Secular changes in pediatric aerobic fitness test performance: the global picture
    Grant R Tomkinson
    Centre for Applied Anthropometry, School of Health Sciences, University of South Australia, Adelaide, Australia
    Med Sport Sci 50:46-66. 2007
  3. pmc Clustering of attitudes towards obesity: a mixed methods study of Australian parents and children
    Tim Olds
    Health and Use of Time HUT group, University of South Australia, GPO Box 2471, 5001 Adelaide, SA, Australia
    Int J Behav Nutr Phys Act 10:117. 2013
  4. pmc Overweight and obese adolescents: what turns them off physical activity?
    Ivana Stankov
    School of Health Sciences, University of South Australia, Adelaide, Australia
    Int J Behav Nutr Phys Act 9:53. 2012
  5. pmc The Multimedia Activity Recall for Children and Adolescents (MARCA): development and evaluation
    Kate Ridley
    School of Education, Flinders University, Adelaide, Australia
    Int J Behav Nutr Phys Act 3:10. 2006
  6. pmc Testing the activitystat hypothesis: a randomised controlled trial protocol
    Sjaan Gomersall
    Health and Use of Time HUT group, Sansom Institute for Health Research, University of South Australia, Adelaide, South Australia, Australia
    BMC Public Health 12:851. 2012
  7. pmc Rationale, design and methods for a staggered-entry, waitlist controlled clinical trial of the impact of a community-based, family-centred, multidisciplinary program focussed on activity, food and attitude habits (Curtin University's Activity, Food and At
    Leon M Straker
    School of Physiotherapy, Curtin University, Perth, Australia
    BMC Public Health 12:471. 2012
  8. doi Somatotyping using 3D anthropometry: a cluster analysis
    Tim Olds
    UNISA, Health Sciences, GPO Box 2471, Adelaide 5001, Australia
    J Sports Sci 31:936-44. 2013
  9. pmc Development of a compendium of energy expenditures for youth
    Kate Ridley
    Centre for the Analysis of Educational Futures, School of Education, Flinders University, Adelaide, Australia
    Int J Behav Nutr Phys Act 5:45. 2008
  10. pmc Descriptive epidemiology of screen and non-screen sedentary time in adolescents: a cross sectional study
    Tim S Olds
    Health and Use of Time HUT group, Sansom Institute for Health Research, University of South Australia, GPO Box 2471, Adelaide, 5001, South Australia, Australia
    Int J Behav Nutr Phys Act 7:92. 2010

Collaborators

Detail Information

Publications36

  1. ncbi Screenieboppers and extreme screenies: the place of screen time in the time budgets of 10-13 year-old Australian children
    Tim Olds
    School of Health Sciences, University of South Australia, PO Box 2471, Adelaide, South Australia 5001
    Aust N Z J Public Health 30:137-42. 2006
    ..This study describes the magnitude, distribution, composition and time-distribution of children's screen use; examines correlates of screen use; and characterises 'extreme' screen users (top quartile)...
  2. ncbi Secular changes in pediatric aerobic fitness test performance: the global picture
    Grant R Tomkinson
    Centre for Applied Anthropometry, School of Health Sciences, University of South Australia, Adelaide, Australia
    Med Sport Sci 50:46-66. 2007
    ..The aim of this study therefore, was to quantify the global change in pediatric aerobic fitness test performance...
  3. pmc Clustering of attitudes towards obesity: a mixed methods study of Australian parents and children
    Tim Olds
    Health and Use of Time HUT group, University of South Australia, GPO Box 2471, 5001 Adelaide, SA, Australia
    Int J Behav Nutr Phys Act 10:117. 2013
    ..Limited research has explored how attitudinal factors may inform the development of both upstream and downstream social marketing initiatives...
  4. pmc Overweight and obese adolescents: what turns them off physical activity?
    Ivana Stankov
    School of Health Sciences, University of South Australia, Adelaide, Australia
    Int J Behav Nutr Phys Act 9:53. 2012
    ..At present, there are few qualitative studies with sufficiently thick description or interpretive validity that provide insight into this vulnerable group of adolescents, and give them a voice to influence policy and practice...
  5. pmc The Multimedia Activity Recall for Children and Adolescents (MARCA): development and evaluation
    Kate Ridley
    School of Education, Flinders University, Adelaide, Australia
    Int J Behav Nutr Phys Act 3:10. 2006
    ....
  6. pmc Testing the activitystat hypothesis: a randomised controlled trial protocol
    Sjaan Gomersall
    Health and Use of Time HUT group, Sansom Institute for Health Research, University of South Australia, Adelaide, South Australia, Australia
    BMC Public Health 12:851. 2012
    ..The aim of this trial is to determine the effect of two different imposed exercise loads on total daily energy expenditure and physical activity levels...
  7. pmc Rationale, design and methods for a staggered-entry, waitlist controlled clinical trial of the impact of a community-based, family-centred, multidisciplinary program focussed on activity, food and attitude habits (Curtin University's Activity, Food and At
    Leon M Straker
    School of Physiotherapy, Curtin University, Perth, Australia
    BMC Public Health 12:471. 2012
    ..Reviews have concluded that there is a substantive evidence gap for effective intervention, but physical activity, lifestyle change and family involvement have been identified as promising foci for treatment...
  8. doi Somatotyping using 3D anthropometry: a cluster analysis
    Tim Olds
    UNISA, Health Sciences, GPO Box 2471, Adelaide 5001, Australia
    J Sports Sci 31:936-44. 2013
    ..An objective shape quantification procedure combining 3D scanning and cluster analysis yielded shape clusters strikingly similar to traditional somatotyping...
  9. pmc Development of a compendium of energy expenditures for youth
    Kate Ridley
    Centre for the Analysis of Educational Futures, School of Education, Flinders University, Adelaide, Australia
    Int J Behav Nutr Phys Act 5:45. 2008
    ..This paper presents a Compendium of Energy Expenditures for use in scoring physical activity questionnaires and estimating energy expenditure levels in youth...
  10. pmc Descriptive epidemiology of screen and non-screen sedentary time in adolescents: a cross sectional study
    Tim S Olds
    Health and Use of Time HUT group, Sansom Institute for Health Research, University of South Australia, GPO Box 2471, Adelaide, 5001, South Australia, Australia
    Int J Behav Nutr Phys Act 7:92. 2010
    ..abstract:..
  11. ncbi Methodological considerations in the determination of projected frontal area in cyclists
    T Olds
    Computer Simulation Laboratory, School of Physical Education, Exercise and Sport Studies, The University of South Australia, Underdale, Australia
    J Sports Sci 17:335-45. 1999
    ..The results demonstrate the importance of standardization in measuring the frontal area of cyclists...
  12. doi Trends in the prevalence of childhood overweight and obesity in Australia between 1985 and 2008
    T S Olds
    Sansom Institute, University of South Australia, Adelaide, South Australia 5001, Australia
    Int J Obes (Lond) 34:57-66. 2010
    ..Specifically, it aimed to determine whether there have been (a) overall increases in average body mass index (BMI), (b) differential patterns of change within age groups and (c) increases in BMI within each weight-status category...
  13. ncbi Declines in aerobic fitness: are they only due to increasing fatness?
    Timothy S Olds
    Nutritional Physiology Research Centre School of Health Sciences, University of South Australia, Adelaide, Australia
    Med Sport Sci 50:226-40. 2007
    ..This study quantifies the cross-sectional and longitudinal relationships between young people's fatness (BMI, skinfold thickness) and fitness (performance on tests of aerobic fitness)...
  14. ncbi The evolution of physique in male rugby union players in the twentieth century
    T Olds
    School of Physical Education, Exercise and Sport Studies, University of South Australia, Underdale, Australia
    J Sports Sci 19:253-62. 2001
    ..1 units per decade) than before. There is a close association between body size and success. Final ranking in the 1999 World Cup showed significant correlations with the average mass of the squads...
  15. ncbi Modelling human locomotion: applications to cycling
    T Olds
    School of Physical Education, Exercise and Sport Studies, University of South Australia, Adelaide, Australia
    Sports Med 31:497-509. 2001
    ....
  16. ncbi Worldwide variation in the performance of children and adolescents: an analysis of 109 studies of the 20-m shuttle run test in 37 countries
    Tim Olds
    Centre for Applied Anthropometry, University of South Australia, Adelaide, SA, Australia
    J Sports Sci 24:1025-38. 2006
    ..4 - 0.9 standard deviations below the global average). There is evidence that performance was negatively related to being overweight, as well as to a country's average temperature...
  17. ncbi Secular changes in aerobic fitness test performance of Australasian children and adolescents
    Grant R Tomkinson
    Centre for Applied Anthropometry, School of Health Sciences, University of South Australia, Adelaide, Australia
    Med Sport Sci 50:168-82. 2007
    ..Using a metaanalytical approach, this study aimed to quantify the secular changes in the aerobic fitness test performances of Australasian (Australian and New Zealand) children and adolescents over the past half a century...
  18. ncbi Who are the Eurofittest?
    Grant R Tomkinson
    Centre for Applied Anthropometry, School of Health Sciences, University of South Australia, Adelaide, Australia
    Med Sport Sci 50:104-28. 2007
    ..By cumulating studies reporting Eurofit data for children and adolescents, the aim of this study was to describe the variability in fitness test performance among children and adolescents from different parts of Europe...
  19. doi The type and prevalence of activities performed by Australian children during the lunchtime and after school periods
    Rebecca M Stanley
    Health and Use of Time, School of Health Sciences, University of South Australia, Adelaide, South Australia, Australia
    J Sci Med Sport 14:227-32. 2011
    ....
  20. ncbi Distributional changes in the performance of Australian children on tests of cardiorespiratory endurance
    James Dollman
    Nutritional Physiology Research Centre, School of Health Sciences, University of South Australia, Adelaide, Australia
    Med Sport Sci 50:210-25. 2007
    ....
  21. pmc Evidence-based practice profiles of physiotherapists transitioning into the workforce: a study of two cohorts
    Maureen P McEvoy
    School of Health Sciences, University of South Australia, North Tce, Adelaide, 5000, South Australia
    BMC Med Educ 11:100. 2011
    ..Few studies have investigated longitudinal changes in EBP attitudes and behaviours. This study aimed to assess the changes in EBP knowledge, attitudes and behaviours in entry-level physiotherapy students transitioning into the workforce...
  22. pmc Normative data on the sleep habits of Australian children and adolescents
    Tim Olds
    Sansom Institute, Division of Health Sciences, University of South Australia, Adelaide, Australia
    Sleep 33:1381-8. 2010
    ..To provide normative sleep data on 9-18 year old Australians...
  23. ncbi The effects of gender, motor skills and play area on the free play activities of 8-11 year old school children
    Nathan Harten
    School of Health Sciences, University of South Australia, Room C7 41, City East Campus, North Terrace, Adelaide, SA 5000, Australia
    Health Place 14:386-93. 2008
    ..01). These results suggest that motor skills and play space are important variables in determining the free play activity of boys, but not of girls. This may be related to widely different play styles among boys and girls...
  24. doi A reduction in the use of volunteered descriptors of air hunger is associated with increased walking distance in people with COPD
    Marie T Williams
    School of Health Sciences, University of South Australia, Adelaide, South Australia, Australia
    Respir Care 57:1431-41. 2012
    ....
  25. doi Thin adolescents: Who are they? What do they do? Socio-demographic and use-of-time characteristics
    Katia Ferrar
    Health and Use of Time Group, Sansom Institute, University of South Australia, Australia
    Prev Med 51:253-8. 2010
    ..Examine: (1) the anthropometric, socio-demographic and use-of-time characteristics of thin adolescents, and (2) compare these characteristics to other weight status categories...
  26. ncbi Physical and sedentary activity in adolescents with cerebral palsy
    Carol A Maher
    University of South Australia, Adelaide, SA, Australia
    Dev Med Child Neurol 49:450-7. 2007
    ....
  27. ncbi Patterns of active transport in 11-12 year old Australian children
    Nathan Harten
    School of Health Sciences, University of South Australia, Underdale
    Aust N Z J Public Health 28:167-72. 2004
    ....
  28. ncbi Short-term effects on outcomes related to the mechanism of intervention and physiological outcomes but insufficient evidence of clinical benefits for breathing control: a systematic review
    Lucy K Lewis
    School of Health Sciences Physiotherapy, University of South Australia, Adelaide SA 5000, Australia
    Aust J Physiother 53:219-27. 2007
    ..What is the volume, quality, consistency, and generalisability of the evidence for breathing control? What is the effect on outcomes related to the target and mechanism of breathing control, as well as physiological and clinical outcomes?..
  29. doi How do school-day activity patterns differ with age and gender across adolescence?
    Tim Olds
    Nutritional Physiology Research Centre, University of South Australia, Adelaide, Australia
    J Adolesc Health 44:64-72. 2009
    ..The aim of the present study was to describe age- and gender-related patterns in the self-reported use of time on school days in a large sample of Australian children and adolescents aged between 10 and 18 years...
  30. doi The importance of site location for girth measurements
    Nathan Daniell
    School of Health Sciences, University of South Australia, Adelaide, SA 5001, Australia
    J Sports Sci 28:751-7. 2010
    ..The magnitude of this error varies according to the girth measurement being taken, sex, and BMI. Special care should be applied when measuring girths on females, especially waist girths on lean females...
  31. doi An internet-based physical activity intervention for adolescents with cerebral palsy: a randomized controlled trial
    Carol A Maher
    School of Health Sciences, University of South Australia, Adelaide, South Australia 5001, Australia
    Dev Med Child Neurol 52:448-55. 2010
    ..To determine the effectiveness of an 8-week internet-based, lifestyle physical-activity intervention for adolescents with cerebral palsy (CP)...
  32. pmc Development and psychometric testing of an instrument to evaluate cognitive skills of evidence based practice in student health professionals
    Lucy K Lewis
    School of Health Sciences, University of South Australia, GPO Box 2471, Adelaide, SA, 5001, Australia
    BMC Med Educ 11:77. 2011
    ..The aim of this study was to develop and validate an EBP evaluation instrument to assess EBP cognitive skills for entry-level health professional disciplines...
  33. doi Anthropometric estimates of total and regional body fat in children aged 6-17 years
    Nicole A Flavel
    School of Health Sciences, University of South Australia, Adelaide, SA, Australia
    Acta Paediatr 101:1253-9. 2012
    ..To develop prediction equations for total and regional (trunk, abdominal, arms and legs) body fat using surface anthropometric measures in children aged 6-17 years...
  34. doi The active cycle of breathing technique: a systematic review and meta-analysis
    Lucy K Lewis
    School of Health Sciences C7 51, University of South Australia City East Campus, GPO Box 2471, Adelaide, South Australia 5001, Australia
    Respir Med 106:155-72. 2012
    ..What is the best available research evidence (volume, quality, consistency, generalisability) for the active cycle of breathing technique (ACBT)?..
  35. pmc Evidence based practice profiles: differences among allied health professions
    Maureen P McEvoy
    School of Health Sciences, University of South Australia, North Tce, Adelaide, 5000, Australia
    BMC Med Educ 10:69. 2010
    ..This study compared the self-report EBP profiles of allied health professionals/trainees in an Australian university...
  36. doi Three-dimensional anthropometric analysis: differences between elite Australian rowers and the general population
    Natasha Schranz
    School of Health Sciences, University of South Australia, Adelaide, Australia
    J Sports Sci 28:459-69. 2010
    ..The greatest differences between elite rowers and the general population were seen in dimensions that could not be captured without 3D scanning, such as segmental volumes and cross-sectional areas...