Physical Behaviour and Event Based analysis, 2014 ISBPNA symposium, San Diego - Malcolm Granat

Physical Behaviour model and Event

Based analysis

Where events provide more information than volume

Malcolm Granat

Professor of Health and Rehabilitation Sciences

School of Health Sciences University of Salford

1. Physical Behaviours model

2. Event based analysis

3. Analysis of walking behaviour

4. Sedentary behaviour and lying

5. Summary

Outline

LIGHT MODERATE

Physical Activity (PA)

INACTIVE VIGOROUS

Sedentary Behaviour (SB)

{ Current Models

?

?

Malcolm Granat ISBNPA, San Diego, May 2014

LIGHT MODERATE

Physical Activity (PA)

INACTIVE VIGOROUS

Sedentary Behaviour (SB)

{ Physical Behaviours Model

Physical Behaviour (PB)

?

?


“Measurement of sleep in research: not a waste of time” Jean-Philippe Chaput

Physical Behaviours Model


• Physical Behaviours (PB) encompasses all Physical Activities and Sedentary Behaviour

• PB lead to Energy Expenditure

• Interventions aim to change PB

• Need to measure and quantify PB

Physical Behaviours Model






5. Summary and the future

Outline


Epoch based

Granat. Event-based analysis of free-living behaviour. 2012, Physiological Measurement.

Conceptual approaches

Event based


Epochs and Events

• Epoch a user defined period (usually 1 minute or 15 seconds) with a single value representing the acceleration in that time period.

• Event a continuous physical activity belonging to a single class with a defined start time and duration.

It may have another parameter(s) associated with it.


Sedentary Activities

Physical Behaviours

Upright Activities

Event-based approach


Stepping


Standing

Physical Behaviours

Sitting Lying

Upright Activities



Stepping


Standing

Physical Behaviours

Circadian distribution [morning – afternoon – evening - night]

Sitting Lying

Stepping rate Slow - Moderate -

Vigorous

Stepping bouts Short - Medium - Long

Upright Activities



Stepping


Standing

Physical Behaviours


Sitting Lying


Vigorous


Upright Activities

Quantification of Physical Behaviours?


Stepping


Standing

Physical Behaviours


Sitting Lying


Vigorous


Upright Activities

Pat

tern

s o

f Ev

en

ts

BEH

AV

IOU

R

Quantification of Physical Behaviours


Data Visualisation

12 PM 01 PM 02 PM 03PM

Sitting/Lying

Standing

Walking


Data Visualisation

Data to Life by Joss Langford


Midnight

Midday

Visualisation


Stepping


Standing

Physical Behaviours


Sitting Lying


Vigorous


Upright Activities

Pat

tern

s o

f Ev

en

ts

BEH

AV

IOU

R




Pat

tern

s o

f Ev

en

ts

BEH

AV

IOU

R







Outline


Aim To objectively quantify their mobility challenges

The condition: Intermittent Claudication • Due to peripheral arterial disease • Cramping pain in legs on walking • Pain gets worse the longer walking • Pain relieved on resting

Challenges in free-living activities: • Interrupted/short walking bouts • Slower walking (Lower cadence)

Clinical Challenges – Limited walking ability


Group 1 (n=30)

Diagnosis of

intermittent claudication

Group 2 (n=30)

Matched controls

Intermittent claudicants Matched controls

Sex [# female (%)] 12 (40%) 12 (40%)

Age [years] 67.2 ± 9.7 66.8 ± 10.5

BMI [kg.m-2] 26.2 ± 4.0 26.0 ± 4.4.

Both groups wore an activPAL for seven consecutive days

Clare Clarke’s PhD data



Stepping Standing

Upright Activities

Physical Behaviours



Stepping Standing

Stepping length Short - Medium - Long

Upright Activities

Physical Behaviours



Population Steps/day Average Cadence

Cadence Variability

Controls 8,436 68 25.2

IC patients 6,526 68 25.0


Malcolm Granat



Cadence Variability

Controls 3,303 99 14.2

IC patients 1,983 96 10.8 Malcolm Granat



Cadence Variability

Controls 2,915 102 12.9




Cadence Variability

Controls 1,950 107 11.8







Outline


Sedentary Behaviour and Lying


Physical Behaviours

Sitting Lying

y-axis


Sedentary Behaviour and Lying

y-axis

0g

+1g

-1g


Midnight

Midday


Midnight

Midday


Sitting Lying


1. Physical Behaviours model and Event based analysis

2. Upright analysis


4. Analysis of cadence


Outline


Thank YOU for listening

And thank you to: • Clare Clarke, University of Dundee • Philippa Dall, Glasgow Caledonian University • Ben Stansfield, Glasgow Caledonian University • David Loudon, PAL Technologies Ltd

Contact details

email: [email protected]

ICAMPAM 2015

Limerick, Ireland 10th – 12th June 2015

www.icampam2015.org The latest research on the measurement of Physical Behaviour

mailto:[email protected]

Physical Behaviour and Event Based analysis, 2014 ISBPNA symposium, San Diego - Malcolm Granat

Healthcare

Transcript of Physical Behaviour and Event Based analysis, 2014 ISBPNA symposium, San Diego - Malcolm Granat