New technologies such as mobile and wearables play a major role in the control of the epidemic of unhealthy lifestyles and chronic conditions in Qatar and beyond. This slides provide an overview of current trends and experiences in Qatar.
Sleep, Eat & Play: The Role of Mobile & Wearable Technologies for Health Empowerment in Qatar
1. Sleep, Eat & Play: The Role of
Mobile & Wearable
Technologies for Health
Empowerment in Qatar
Luis Fernandez-Luque PhD
Qatar Computing Research
Institute - www.qcri.org
lluque@hbku.edu.qa
2. www.himssqatar.org
Conflict of Interest
I am co-founder of Salumedia.com (Spanish Digital Health
Startup) and provided digital health advisory to
pharmaceutical companies and startups (e.g. Droobi
Health).
4. Health at War
4
@luisluque #HIMSSQatar17
Wearables, Mobile, Social Media and
Technology for (un) health promotion
5. Obesity in the World
5
@luisluque
@luisluque #HIMSSQatar17
6. Smoking in the World
6
QATAR: A total of
2,109 students aged
between 13-15: 15.7%
used tobacco, of which
22.8% were males
and 8.8% were
females. A total of
6.1% used
smokeless tobacco
https://www.moph.gov.qa/news/sch
-announces-global-youth-tobacco-
survey-results
http://www.euro.who.int/en/health-topics/disease-prevention/tobacco/data-and-statistics
@luisluque #HIMSSQatar17
15. Lets focus on the patient! Participatory Health
15
UK Department of Health (2005) Self care - a real choice; self care support - a
practical option. http://www.dh.gov.uk/assetRoot/04/10/08/92/04100892.pdf
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16. A 360QS Health Lifestyle View
16
Social Computing + Quantified Self = Sensing for Public Health
Non communicable Diseases
Influences and risk factors
Social Structure
(age, sex, ethnicity,
income)
Environmental
(Geolocation, housing,
weather, etc)
Lifestyle
(physical activity, diet,
psychosocial factors)
Physiological
(blood pressure,
diabetes, obesity)
Public Health Dashboard
Monitoring and visualization of public
health for expert use
Quantified Self 360
Tools for personal health tracking and
patient empowerment
Haddadi, Hamed, Ferda Ofli, Yelena
Mejova, Ingmar Weber, and Jaideep
Srivastava. "360-degree quantified
self." In Healthcare Informatics (ICHI),
2015 International Conference on, pp.
587-592. IEEE, 2015.
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18. ICAN - Tackling Childhood Obesity
18
Fernandez-Luque, Luis, et al. "Implementing 360° Quantified Self for childhood
obesity: feasibility study and experiences from a weight loss camp in Qatar." BMC
medical informatics and decision making 17.1 (2017): 37.
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19. ICAN - Tackling Childhood Obesity
19
Fernandez-Luque, Luis, et al. "Implementing 360° Quantified Self for childhood
obesity: feasibility study and experiences from a weight loss camp in Qatar." BMC
medical informatics and decision making 17.1 (2017): 37.
Women used more the technology (both girls and
mothers)
21. Wearables: Physical Activity & Sleep
21
Taheri, S., and T. Arora. "Associations among late chronotype, body mass index
and dietary behaviors in young adolescents." International Journal of Obesity 39,
no. 1 (2015): 39.
(Dataset: 263 adolescents in UK)
“Later chronotype
young adolescents
are at risk of
increased BMI and
poorer dietary
behaviors.”
@luisluque #HIMSSQatar17
22. Wearables: Physical Activity & Sleep
22
Developed RAHAR (Robust Automated Human Activity
Recognition) algorithm and used it to predict sleep quality by
analyzing physical activity from wearable devices
Sathyanarayana, A., Joty, S., Fernandez-Luque, L., Ofli, F., Srivastava, J., Elmagarmid, A., Arora, T. and Taheri, S.,
2016. Sleep quality prediction from wearable data using deep learning. JMIR mHealth and uHealth, 4(4).
@luisluque #HIMSSQatar17
23. Wearables: Physical Activity & Sleep
23
@luisluque #HIMSSQatar17
Sathyanarayana, A., Joty, S., Fernandez-Luque, L., Ofli, F., Srivastava, J., Elmagarmid, A., Arora, T. and Taheri, S.,
2016. Sleep quality prediction from wearable data using deep learning. JMIR mHealth and uHealth, 4(4).
24. Wearables: Physical Activity & Sleep
24
@luisluque #HIMSSQatar17
Sathyanarayana, A., Joty, S., Fernandez-Luque, L., Ofli, F., Srivastava, J., Elmagarmid, A., Arora, T. and Taheri, S.,
2016. Sleep quality prediction from wearable data using deep learning. JMIR mHealth and uHealth, 4(4).
25. Wearables: Physical Activity & Sleep
25
Predicting Sleep Quality using Physical Activity (Dataset: 97
adolescents in Qatar)
CNN had the highest specificity and sensitivity, and an overall area under the
receiver operating characteristic (ROC) curve (AUC) of 0.9449, which was
46% better as compared with traditional logistic regression (0.6463)
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Sathyanarayana, A., Joty, S., Fernandez-Luque, L., Ofli, F., Srivastava, J., Elmagarmid, A., Arora, T. and Taheri, S.,
2016. Sleep quality prediction from wearable data using deep learning. JMIR mHealth and uHealth, 4(4).
26. Wearables and Schools Physical Activity
26
Zimmo, Lena, Abdulaziz Farooq, Fuad Almudahka, Izzeldin Ibrahim, and
Mohamed Ghaith Al-Kuwari. "School-time physical activity among Arab
elementary school children in Qatar." BMC pediatrics 17, no. 1 (2017): 76.
A total of 183
elementary school
children (86 boys and
97 girls) ages 6–12
years participated in this
study
27. Mobile and Weight Loss in Woman
27
Mansar, S. L., Jariwala, S., Behih, N., Shahzad, M., & Anggraini, A. (2014).
Adapting a database of text messages to a mobile-based weight loss program:
the case of the middle East. International journal of telemedicine and
applications, 2014, 1.
Mansar, Selma Limam, Shashank Jariwala, Maahd Shahzad,
Aysha Anggraini, Nawal Behih, and Amna AlZeyara. "A
usability testing experiment for a localized weight loss mobile
application." Procedia Technology 5 (2012): 839-848.
29. Sleep and Diabetes Management
29
Arora, T. and Taheri, S., 2015. Sleep optimization and diabetes control: a review of the
literature. Diabetes Therapy, 6(4), pp.425-468.
https://clinicaltrials.gov/show/NCT02660476http://jap.physiology.org/content/99/5/2008
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41. Apptitis = Quality? Safety? Cyber security
41
Boulos, Maged N. Kamel, Ann C. Brewer, Chante
Karimkhani, David B. Buller, and Robert P. Dellavalle.
"Mobile medical and health apps: state of the art,
concerns, regulatory control and certification." Online
journal of public health informatics 5, no. 3 (2014): 229.
Blenner, Sarah R., Melanie Köllmer, Adam J.
Rouse, Nadia Daneshvar, Curry Williams, and
Lori B. Andrews. "Privacy policies of android
diabetes apps and sharing of health information."
Jama 315, no. 10 (2016): 1051-1052.