A5036093992- Obesity, Physical Activity, Diet
- Physical Activity and Health
- Nutritional Studies and Diet
- Sleep and related disorders
- Children's Physical and Motor Development
- Urban Transport and Accessibility
- Behavioral Health and Interventions
- Geochemistry and Geologic Mapping
- Health disparities and outcomes
- Birth, Development, and Health
- Health and Lifestyle Studies
- Diet and metabolism studies
- Psychological Well-being and Life Satisfaction
- Cardiovascular Health and Risk Factors
- Health, Environment, Cognitive Aging
- Sensory Analysis and Statistical Methods
- Global Public Health Policies and Epidemiology
- Sleep and Wakefulness Research
- Eating Disorders and Behaviors
- Child Development and Digital Technology
- Mental Health Research Topics
- Impact of Technology on Adolescents
- Youth Development and Social Support
- Public Health and Nutrition
- Dietary Effects on Health
Murdoch Children's Research Institute
2022-2025
University of South Australia
2016-2025
Royal Children's Hospital
2022-2025
Ghent University
2024
University of Limerick
2024
UNSW Sydney
2024
The University of Melbourne
2022
University of Technology Sydney
2020
The health effects of daily activity behaviours (physical activity, sedentary time and sleep) are widely studied. While previous research has largely examined in isolation, recent studies have adjusted for multiple behaviours. However, the inclusion all traditional multivariate analyses not been possible due to perfect multicollinearity 24-h budget data. ensuing lack adjustment known on outcome undermines validity study findings. We describe a statistical approach that enables behaviours,...
During a 24-h day, each given period is spent in either sedentary behaviour, sleeping, light physical activity (LPA), or moderate-to-vigorous (MVPA). In epidemiological research most studies have traditionally analysed the associations of these behaviours isolation from other; that is, without taking into account displacement time remaining behaviours. recent years, there has been growing interest exploring how all across energy expenditure spectrum influence health outcomes. A statistical...
How people use their time has been linked with health. For example, spending more being physically active is known to be beneficial for health, whereas long durations of sitting have associated unfavourable health outcomes. Accordingly, public messages advocated swapping strategies promote the reallocation between parts time-use composition, such as “Move More, Sit Less”, aim achieving optimal distribution However, majority research underpinning these not considered daily a and ignored...
In recent years, the focus of activity behavior research has shifted away from univariate paradigms (e.g., physical activity, sedentary and sleep) to a 24-h time-use paradigm that integrates all daily behaviors. Behaviors are analyzed relative each other, rather than as individual entities. Compositional data analysis (CoDA) is increasingly used for because it intended convey information. While CoDA brought new understanding how time use associated with health, also raised challenges in this...
Abstract Background In 2018, the Australian Government updated Physical Activity and Sedentary Behaviour Guidelines for Children Young People. A requirement of this update was incorporation a 24-hour approach to movement, recognising importance adequate sleep. The purpose paper describe how 24-Hour Movement People (5 17 years): an integration physical activity, sedentary behaviour sleep were developed outcomes from process . Methods GRADE-ADOLOPMENT used develop guidelines. Leadership Group...
Over the past several decades, overweight and obesity epidemic in USA has resulted a significant health economic burden. Understanding current trends future trajectories at both national state levels is crucial for assessing success of existing interventions informing policy changes. We estimated prevalence from 1990 to 2021 with forecasts 2050 children adolescents (aged 5-24 years) adults ≥25 level. Additionally, we derived state-specific estimates projections older 15-24 all 50 states...
Movement behaviours performed over a finite period such as 24 h day are compositional data. Compositional data exist in constrained simplex geometry that is incongruent with traditional multivariate analytical techniques. However, the expression of log-ratio co-ordinate systems transfers them to unconstrained real space, where standard statistics can be used. This study aimed use analysis approach examine adiposity and cardiorespiratory fitness predictions time reallocations between...
Daily activity data are by nature compositional data. Accordingly, they occupy a specific geometry with unique properties that is different to standard Euclidean geometry. This study aimed estimate the difference in adiposity associated isotemporal reallocation between daily behaviours, and compare findings from subsitution those obtained traditional substitution. We estimated differences (body fat%) reallocating fixed durations of time (isotemporal substitution) accelerometer-measured...
To describe 24-hour time-use patterns and their association with health-related quality of life (HRQoL) in early adolescence.The Child Health CheckPoint was a cross-sectional study nested between Waves 6 7 the Longitudinal Study Australian Children. The participants were 1455 11- to 12-year-olds (39% Wave 6; 51% boys). exposure time use measured across 259 activities using Multimedia Activity Recall for Children Adolescents. "Average" days generated from 1 school nonschool day. Time-use...
The COVID-19 pandemic has dramatically impacted lifestyle behaviour as public health initiatives aim to “flatten the curve”. This study examined changes in activity patterns (physical activity, sedentary time, sleep), recreational physical activities, diet, weight and wellbeing from before during restrictions Adelaide, Australia. used data a prospective cohort of Australian adults (parents primary school-aged children; n = 61, 66% female, aged 41±6 years). Participants wore Fitbit Charge 3...
Abstract Background How time is allocated influences health. However, any increase in to one behaviour must be offset by a decrease others. Recently, studies have used compositional data analysis (CoDA) estimate the associations with health when reallocating between different behaviours. The aim of this scoping review was provide an overview that CoDA model how time-use components associated Methods A systematic search four electronic databases (MEDLINE, Embase, Scopus, SPORTDiscus)...
Abstract Aims/hypothesis The associations of sitting, standing, physical activity and sleep with cardiometabolic health glycaemic control markers are interrelated. We aimed to identify 24 h time-use compositions associated optimal metabolic determine whether these varied by diabetes status. Methods Thigh-worn activPAL data from 2388 participants aged 40–75 years (48.7% female; mean age 60.1 [SD = 8.1] years; n =684 type 2 diabetes) in Maastricht Study were examined. Compositional isometric...
Summary Background The relationship between children's adiposity and lifestyle behaviour patterns is an area of growing interest. Objectives objectives this study are to identify clusters children based on behaviours compare among clusters. Methods Cross‐sectional data from the International Study Childhood Obesity, Lifestyle Environment were used. Participants : participants (9–11 years) 12 nations ( n = 5710). Measures 24‐h accelerometry self‐reported diet screen time clustering input...