Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Review
. 2018 Feb 1:2018:1564748.
doi: 10.1155/2018/1564748. eCollection 2018.

Systems and WBANs for Controlling Obesity

Maali Said Mohammed  1 , Sandra Sendra  2   3 , Jaime Lloret  2 , Ignacio Bosch  2
Affiliations
Review

Systems and WBANs for Controlling Obesity

Maali Said Mohammed et al. J Healthc Eng. .

Abstract

According to World Health Organization (WHO) estimations, one out of five adults worldwide will be obese by 2025. Worldwide obesity has doubled since 1980. In fact, more than 1.9 billion adults (39%) of 18 years and older were overweight and over 600 million (13%) of these were obese in 2014. 42 million children under the age of five were overweight or obese in 2014. Obesity is a top public health problem due to its associated morbidity and mortality. This paper reviews the main techniques to measure the level of obesity and body fat percentage, and explains the complications that can carry to the individual's quality of life, longevity and the significant cost of healthcare systems. Researchers and developers are adapting the existing technology, as intelligent phones or some wearable gadgets to be used for controlling obesity. They include the promoting of healthy eating culture and adopting the physical activity lifestyle. The paper also shows a comprehensive study of the most used mobile applications and Wireless Body Area Networks focused on controlling the obesity and overweight. Finally, this paper proposes an intelligent architecture that takes into account both, physiological and cognitive aspects to reduce the degree of obesity and overweight.

PubMed Disclaimer

Figures

Figure 1
Figure 1
Healthy body composition.
Figure 2
Figure 2
Percentage of obese population older than 20 years with a BMI higher than 30 kg/m2 and its relationship with the GDP per capita.
Figure 3
Figure 3
DEXA scanner.
Figure 4
Figure 4
The underwater weighing technique.
Figure 5
Figure 5
ADP camera.
Figure 6
Figure 6
Schema of BIA method through a person.
Figure 7
Figure 7
Average TBW as a function of gender and ages.
Figure 8
Figure 8
Process to measure the fat density with the near-infrared interactance method.
Figure 9
Figure 9
Architecture of a Smart System for obesity control.
Figure 10
Figure 10
Message exchange for our architecture.
Figure 11
Figure 11
Combination of cognitive and physiological aspects to the better control of obesity.
See this image and copyright information in PMC

References

    1. School of Public Health (Harvard T.H. Chan) Obesity causes. October 2017, https://www.hsph.harvard.edu/obesity-prevention-source/obesity-causes/
    1. Kerry C. What is a healthy body fat percentage? October 2017, https://bodyfatloss.com/what-is-a-healthy-body-fat-percentage/
    1. World Health Organization. Noncommunicable diseases. October 2017, http://www.who.int/mediacentre/factsheets/fs355/en/
    1. Sazonov E., Neuman M. R. Wearable Sensors: Fundamentals, Implementation and Applications. Amsterdam: Elsevier; 2014.
    1. Lee J. M., Kim Y., Welk G. J. Validity of consumer-based physical activity monitors. Medicine & Science in Sports & Exercise. 2014;46(9):1840–1848. doi: 10.1249/MSS.0000000000000287. - DOI - PubMed