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The health benefits of Snacktivity in currently inactive individuals

Jonah Thomas

Presented on 15-06-2021




Last updated on 2021-06-15

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Who Am I?

Background

  • 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

Research interests:

  • Measurement of physical activity and sedentary behaviour

  • Digital Health Technologies

  • All things data science

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Contents

  • 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...

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Rationale

  • 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

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Some activity snacks?

dog stairs gif

dog squating

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Study 0: Accelerometer-measured physical activity datasets: A cross-country scoping review

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Rationale

  • 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.

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Aims/Objectives:

  • 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

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Search strategy

  • 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

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Selection criteria

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
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The first screening

Full-text: 2284

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Selection criteria (updated)

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
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The second screening

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(Draft) Results

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Demographics

Average number of participants Total number of participants Average age of participants Percent male Percent female
3555 860289 56 46 55
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Populations

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Papers by Year

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Datasets Identified

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Study 1: The effects of activity snacks on cardiometabolic health outcomes: a harmonised compositional isotemporal substitution data-analysis

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Rationale

  • 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)

    • Due to cultural differences, some populations may be performing a greater number of activity snacks
    • The health benefits of activity snacks may differ based on demographic characteristics that are rarely examined (ethnicity, physical activity profile)
  • 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

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Aims/Objectives:

  • 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

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What is compositional isotemporal substitution analysis (cISM)

  • 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

    • We plan to model substituting sedentary time and bouted MVPA with activity snacks
  • For more information, Dumuid et al provide an excellent summary of the origins and current directions of cISM analysis.

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Next steps?

  • Finish data extraction

    • Should be finalised in the next few weeks
  • Begin write up and produce first draft

  • Prioritise which datasets to seek access to for the harmonised data analysis

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Study 2 and 3: Interventions exploring activity snacks

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Study 2: The acute benefits of activity snacks on cardiometabolic health outcomes

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Rationale

  • Several studies have examined the acute benefit of breaking up prolonged sedentary time with short bouts of physical activity on glucose control

    • MVPA as short as 32 seconds can produce a beneficial acute response
  • 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

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Purposeful vs incidental activity snacks

Taken from Stamatakis et al

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Aims/Objectives

  • To determine whether the Snacktivity intervention leads to individuals performing a greater number of activity snacks when compared to their usual routine
  • To assess whether performing purposeful activity snacks produce an additional health benefit when compared to an individual’s usual 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

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Study 3: The longer term impact of activity snacks on cardiometabolic health outcomes

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Rationale

  • 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

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Aims/Objectives

  • 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

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What next?

  • 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

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An open offer...

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I might be able to help ...

I am experienced with:

  • R
  • SQL
  • Federated data analysis systems
  • Python (a little...hopefully more soon)

I am interested in:

  • Data modeling
  • Software development
  • Data visualisation
  • Anything a bit out there, different or challenging

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Data Analysis and Visualisation

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Shiny Apps

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Shiny Apps

For more examples visit the Shiny Apps Gallery

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FormR

  • A survey framework that allows the creation and management of highly complex survey designs
    • Entirely open-source (Free!) and coded in R meaning anything you can do in R (which in my opinion is endless!) can be used in a survey

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Automatically Generated Reports

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Automatically Generated Reports

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Want to see more?

image

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Any Questions?

Full slide deck is available on my blog

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Who Am I?

Background

  • 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

Research interests:

  • Measurement of physical activity and sedentary behaviour

  • Digital Health Technologies

  • All things data science

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