First came to loughborough in 2015 to study Sport, Exercise and Health Science BSc
MSc in Exercise as Medicine
Research assistant in Digital Health Technologies
Second year PhD student within Snacktivity
Measurement of physical activity and sedentary behaviour
Digital Health Technologies
All things data science
Rationale for Snacktivity
Study plan
Accelerometer-measured physical activity datasets: A cross-country scoping review
The effects of activity snacks on cardiometabolic health outcomes: a harmonised compositional isotemporal substitution data-analysis
The acute effect of activity snacks on glucose control in currently inactive individuals: a wild experiment and comparison to background activity
The longer term affects of Snacktivity on cardiometabolic health outcomes
An open offer...
The evidence suggests the volume of physical activity is more important than how this activity was accumulated when considering health outcomes
This led to changes in the four widest reaching physical activity guidelines allowing individuals to achieve 150 minutes per week of MVPA in bouts of any duration
Therefore, for those that are not currently meeting the physical activity guidelines, short bouts could be promoted as a means to increase the amount of MVPA they perform each week
Accelerometers have been used frequently to quantify movement behaviours over the last 2 decades
This has led to a large number of datasets collecting a range of health outcomes and physical activity metrics
However, there is currently no central library that has cataloged the available datasets
This is in spite of a highly successfully harmonised dataset of similar data in children (ICAD) and several notable harmonised data analyses: Ulf Ekelund and more recent Sebastien Chastin
Therefore, we will perform a scoping review to identify datasets that could be harmonised (both for our harmonised data analysis) and to serve as a library for other researchers.
To inform the harmonised data analysis by highlighting the studies that have collected data as well as inform the ease of harmonisation of these studies
To create a library of datasets to serve as a resource to other academics who may be interested in performing secondary analysis or data harmonisation
Peer-reviewed online literature databases: Medline and Medline in-progress, EMBASE, CINAHL, Sport Discus and Central
Grey literature sources: Trials Registries, Open Grey and Conference Proceedings Citation Index-Science (CPCI-S)
Experts in the field will also be contacted to contribute “emerging” datasets
Forward and backward searching
Inclusion | Exclusion |
---|---|
Observational or trials based study design | Non-human population |
Adult population | Only measure sleep |
Measure physical activity using an accelerometric device | |
Published in any language |
Inclusion | Exclusion |
---|---|
Observational or trials based study design | Non-human population |
Adult population | Only measure sleep |
Measure physical activity using an accelerometric device | |
Published in any language | |
Sample size greater than 400 | |
Measured at least one cardiometabolic health outcome |
Average number of participants | Total number of participants | Average age of participants | Percent male | Percent female |
---|---|---|---|---|
3555 | 860289 | 56 | 46 | 55 |
Current evidence from epidemiological studies show the benefits of short bouts of MVPA on cardiometabolic health outcomes
Many of these studies use homogeneous datasets, and often the same dataset (NHANES 2003-2006)
Therefore, we will perform a harmonised data analysis on a diverse pool of studies and will perform compositional isotemporal substitution analysis to assess the health benefit of substituting sedentary time and bouted MVPA with activity snacks
To determine whether substituting sedentary time with activity snacks results in an improvement in cardiometabolic health outcomes
To determine whether substituting bouted MVPA with activity snacks results in any changes in cardiometabolic health outcomes
Examining multivariate data that forms part of a finite whole
Multiple variables that when combined will reach a known whole
sleep + sedentary time + LPA + MVPA = 24 hours
By treating time-use as part of a whole, we can model the expected effect of replacing one behaviour with another
For more information, Dumuid et al provide an excellent summary of the origins and current directions of cISM analysis.
Finish data extraction
Begin write up and produce first draft
Prioritise which datasets to seek access to for the harmonised data analysis
Several studies have examined the acute benefit of breaking up prolonged sedentary time with short bouts of physical activity on glucose control
However, even the most sedentary individuals (unless infirm) do not sit continually for 8-12 hours a day
Whilst the laboratory setting is beneficial for highly controlled conditions, it is not representative of how an individual goes about their normal life
Therefore, we will examine the acute benefit of activity snacks on glucose control during individual's usual daily routine
To determine whether purposeful activity snacks produce a different acute cardiometabolic response to activity snacks performed as part of an individual’s daily routine
To assess participants perception of non-purposeful activity snacks and determine whether they are the similar to the perception they have of purposeful activity snacks
To assess whether movement differences exist between purposeful vs non-purposeful snacks and could these be utilised to refine the definition of an activity snack
Previous cross-sectional studies highlight that performing bouts of MVPA less than 10 minutes in duration are associated with improved cardiometabolic health outcomes including BMI, HDL and LDL cholesterol and blood glucose.
However, few studies have looked to assess whether if increasing inactive individuals physical activity by utilising short bouts of MVPA will lead to longer term improvements in cardiometabolic health
The main Snacktivity trial is not collecting a comprehensive battery of health outcomes
Therefore, we will look to determine whether the Snacktivity paradigm increases the number of activity snacks an individual performs and whether this increase is associated improvements in cardiometabolic health
To determine if the Snacktivity intervention leads to individuals performing a greater number of activity snacks
To determine whether performing a greater number of activity snacks leads to changes in markers of cardiometabolic health
Finish data extraction and begin write-up of the scoping review
Begin acquiring datasets for the harmonised data analysis
Finalise protocols for the intervention studies and begin submitting ethics for both intervention studies
First came to loughborough in 2015 to study Sport, Exercise and Health Science BSc
MSc in Exercise as Medicine
Research assistant in Digital Health Technologies
Second year PhD student within Snacktivity
Measurement of physical activity and sedentary behaviour
Digital Health Technologies
All things data science
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