Tim Olds
University of South Australia
Publications 401
#1Mengjiao Liu (University of Melbourne)H-Index: 1
#2Kate Lycett (Deakin University)H-Index: 11
Last.Tien Wong (University of Melbourne)H-Index: 124
view all 11 authors...
Abstract Traditional retinal microvascular parameters (smaller arteriolar and greater venular caliber) are associated with cardiovascular risk factors, pre-clinical vascular phenotypes and clinical cardiovascular events in adults. Although novel retinal microvascular geometric parameters showed analogous associations in adults, less is known whether these parameters are associated with cardiovascular health from childhood. In a population-based cross-sectional study in children (n = 1126, mean a...
#1Rachel WilsonH-Index: 36
#2Dorothea DumuidH-Index: 10
Last.John Robert EvansH-Index: 7
view all 4 authors...
#2Corneel Vandelanotte (Central Queensland University)H-Index: 37
Last.Grace E. Vincent (Central Queensland University)H-Index: 9
view all 5 authors...
This study used a bibliometric analysis through the Scopus database to examine papers that combined physical activity and sleep, published between 1979 and 2018. Bibliometric indicators of producti...
#1Sarah Edney (UniSA: University of South Australia)H-Index: 4
#2Tim Olds (UniSA: University of South Australia)H-Index: 53
Last.Carol Maher (UniSA: University of South Australia)H-Index: 32
view all 7 authors...
Introduction Appealing approaches to increasing physical activity levels are needed. This study evaluated whether a social and gamified smartphone app (Active Team) could be one such approach. Study design A 3-group cluster RCT compared the efficacy of Active Team with a basic self-monitoring app and waitlist control group. Setting/participants Australian adults (N=444, mean age of 41 years, 74% female) were recruited in teams (n=121) and randomly assigned (1:1:1) to the Active Team (n=141, 39 t...
#1Rachel G. Curtis (UniSA: University of South Australia)
#2Tim Olds (UniSA: University of South Australia)H-Index: 53
Last.Carol Maher (UniSA: University of South Australia)H-Index: 32
view all 7 authors...
Background This study examined the criterion validity of the online Active Australia Survey, using accelerometry as the criterion, and whether self-report bias was related to level of activity, age, sex, education, body mass index and health-related quality of life.
#1Jana PelclováH-Index: 8
#2Nikola ŠtefelováH-Index: 1
Last.Lenka Tlučáková (University of Prešov)H-Index: 2
view all 10 authors...
This study aimed to use compositional data analysis to: (1) investigate the prospective associations between changes in daily movement behaviours and adiposity among elderly women; and (2) to examine how the reallocation of time between movement behaviours was associated with longitudinal changes in adiposity. This is a 7-year longitudinal study in Central European older women (n = 158, baseline age 63.9 ± 4.4 years). At baseline and follow-up, light-intensity physical activity (LIPA), moderate-...
#1Jillian RyanH-Index: 5
#2Rachel G. CurtisH-Index: 4
Last.Carol MaherH-Index: 32
view all 7 authors...
#1Julia K. Zakrzewski-Fruer (University of Bedfordshire)H-Index: 3
#2Fiona Gillison (University of Bath)H-Index: 20
Last.Martyn Standage (University of Bath)H-Index: 38
view all 19 authors...
Existing research has documented inconsistent findings for the associations among breakfast frequency, physical activity (PA), and sedentary time in children. The primary aim of this study was to examine the associations among breakfast frequency and objectively-measured PA and sedentary time in a sample of children from 12 countries representing a wide range of human development, economic development and inequality. The secondary aim was to examine interactions of these associations between stu...
1 CitationsSource
#1Nucharapon Liangruenrom (MU: Mahidol University)H-Index: 2
#2Melinda Craike (VU: Victoria University, Australia)H-Index: 15
Last.Zeljko Pedisic (VU: Victoria University, Australia)H-Index: 15
view all 13 authors...
Globally, the International Classification of Activities for Time-Use Statistics (ICATUS) is one of the most widely used time-use classifications to identify time spent in various activities. Comprehensive 24-h activities that can be extracted from ICATUS provide possible implications for the use of time-use data in relation to activity-health associations; however, these activities are not classified in a way that makes such analysis feasible. This study, therefore, aimed to develop criteria fo...