Unhealthy Dietary Behavior Based User Life-Log Monitoring for Wellness Services

Unhealthy behavior, constitutes of unhealthy diet, smoking, physical inactivity and alcohol intake, increases the risk of chronic diseases and premature mortality. These unhealthy behaviors can be avoided by little intention and guidance. Diet is an influential factor of healthcare. Healthy and balanced diet selection is related to the better life expectancy and decreases the chances of chronic diseases. The Ubiquitous computing revolutionized the wellness domain towards user centric preference based health management. In this study we proposed a method for monitoring and indication of users’ unhealthy nutrition consumption. We evaluated 3 different timings of indication to user for induction of healthy dietary pattern. The “location and time based indication” depicts very promising result of 78% in the adoption of healthy diet pattern and has positive impact on the intake of fat nutrient in diet.

[1]  Sungyoung Lee,et al.  On Curating Multimodal Sensory Data for Health and Wellness Platforms , 2016, Sensors.

[2]  Vanna Albieri,et al.  The combined impact of adherence to five lifestyle factors on all-cause, cancer and cardiovascular mortality: a prospective cohort study among Danish men and women. , 2015, The British journal of nutrition.

[3]  Sungyoung Lee,et al.  Health Fog: a novel framework for health and wellness applications , 2016, The Journal of Supercomputing.

[4]  N. Owen,et al.  Sedentary behaviors and subsequent health outcomes in adults a systematic review of longitudinal studies, 1996-2011. , 2011, American journal of preventive medicine.

[5]  Byeong Ho Kang,et al.  Mining minds: journey of evolutionary platform for ubiquitous wellness , 2015 .

[6]  Sungyoung Lee,et al.  Multimodal hybrid reasoning methodology for personalized wellbeing services , 2016, Comput. Biol. Medicine.

[7]  Thomas J. Sweeney,et al.  Beyond social interest: Striving toward optimum health and wellness. , 1991 .

[8]  Giske Ursin,et al.  Influence of individual and combined health behaviors on total and cause-specific mortality in men and women: the United Kingdom health and lifestyle survey. , 2010, Archives of internal medicine.

[9]  Sungyoung Lee,et al.  Mining Minds: An innovative framework for personalized health and wellness support , 2015, 2015 9th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth).

[10]  D. Ardell,et al.  High level wellness, an alternative to doctors, drugs, and disease , 1979 .

[11]  D L Katz,et al.  Can we say what diet is best for health? , 2014, Annual review of public health.

[12]  T. Sweeney,et al.  A Holistic Model for Wellness and Prevention Over the Life Span , 1992 .