Tampere3 Health Monitoring and Personalized Care , Mar 30, 2017
Interactive 24/7 monitoring of
physical activity and sedentary behavior –
an effective means for public health promotion?
Harri Sievänen, ScD, Adjunct Professor
Research Director
Orientation
What you can not measure,
you can not change or manage
Bad data leads to bad science –
and bad ”evidence-based” actions
Challenge
Only few people meet the current physical activity recommendations*
*150 minutes moderate (3 – 6 MET) or 75 minutes vigorous (> 6 MET) PA (or combined MVPA)
at least in 10 minute bouts and being active at least in three days spread throughout the week
Husu et al SLL 2014
Challenge
People are sedentary most of the day and physically inactive in general
MVPA
Every 4th person does not have even one 10 minute period of MVPA during a week
Husu et al BMC Publ Health 2016
Challenge
Source: WHO's report on "Global health risks"
Physical inactivity is a major cause of premature mortality
Solution
Characterization of daily physical activity and sedentary profile
Energy consumption (PA) and body posture (SB) as a
function of time throughout the day
6
PA and SB: Accelerometry is the method
Mean amplitude deviation (MAD) of the resultant acceleration
z-axis
R
Y-axis
X-axis
Vähä-Ypyä et al Clin Physiol Funct Imaging 2015
MAD: universal analysis
MAD (mg)
Adults
Adolescents
MAD (mg)
Vähä-Ypyä et al Clin Physiol Funct Imaging 2015
Aittasalo et al BMC Sports Sci Med Rehabil 2015
MAD, speed and oxygen consumption
Vähä-Ypyä et al PLoS One 2015
MAD: strong correlation with the actual
MET (oxygen consumption)
Energy consumption → PA
Individual correlation
between MAD and
MET: from 0.93 to 0.99
Vähä-Ypyä et al PLoS One 2015
MAD-APE: valid classification of posture
MAD (mg)
Body posture → SB
Angle (°)
0
Limit 2
Limit 1
90
Vähä-Ypyä et al, submitted to SJMSS
PA at different intensity
levels and SB can be
classified from the
acceleration signal with
high accuracy (~ 90%)
H
E
A
R
T
R
A
T
E
SENSOR ORIENTATION
SEDENTARY BEHAVIOR
ACCELERATION
PHYSICAL ACTIVITY
STANDING
INFORMATION:
BODY POSTURE
MEASUREMENT:
•
ENERGY CONSUMPTION (MET)
SENSOR ORIENTATION
•
•
ACCELERATION
HEART RATE
Sievänen & Kujala Editiorial SJMSS 2017 (in press)
Individual daily physical activity and sedentary profiles
• Several novel PA and SB features (e.g., N and duration in different
intensity classes) can be calculated from raw acceleration data
• Statistical associations of these features with the risk of prevalent
and incident morbid events can be determined from populationbased data and register data
Smartphone application - ExSed
•
•
•
•
Sedentary behavior (daily sitting, standing, standing-ups)
Physical activity (daily MVPA, LPA, steps)
Health (PA profile in relation to T2D and CVD patients, sleep)
Notifications and feedback (motivational factors!)
Accelerometry
Waist: PA & SB
Wrist: Sleep
Cloud services and data bases
(OmaKanta?)
MoveSense
UKK IA 60
Embedded analysis
Other measurements?
”Coach”
Health professional
Smartphone app – ExSed*
*will be used as a health and lifestyle councelling tool for
personalized promotion of physical activity and reduction of
sedentary behavior among various patient groups in 10
Finnish hospital districts in 2017 – 2018 (and also thereafter …?)
Thank you!
Q & A?
There
is method
in our MADness