Development of a Lifelogs-Based Daily Wellness Score to Advance a Smart Wellness Service
Published Online:26 Dec 2018https://doi.org/10.1287/serv.2018.0216
References
- (2016) Internet of things: Home automation and surveillance system. Internat. Ed. Sci. Res. J. 2(4):41–43.Google Scholar
- (2015) Features and application of wearable biosensors in medical care. J. Res. Med. Sci. 20(12):1208–1215.Crossref, Google Scholar
- (2014) Sample size used to validate a scale: A review of publications on newly-developed patient reported outcomes measures. Health Quality Life Outcomes 12(126):1–10.Google Scholar
- (2009) Determining what individual SUS scores mean: Adding an adjective rating scale. J. Usability Stud. 4(3):114–123.Google Scholar
- (2015) Mining Minds: An innovative framework for personalized health and wellness support. Proc. 2015 9th Internat. Conf. Pervasive Comput. Tech. Healthcare (IEEE, Piscataway, NJ), 1–8.Google Scholar
- (2002) Multiple Criteria Decision Analysis (Kluwer Academic Publishers, Boston).Crossref, Google Scholar
- (2011) Sleep and longevity. DoctorOz.com (blog). Accessed May 27, 2017, http://www.doctoroz.com/blog/kulreet-chaudhary-md/sleep-and-longevity#comments.Google Scholar
- (2015) Characterizing visualization insights from quantified selfers’ personal data presentations. IEEE Comput. Graphics Appl. 35(4):28–37.Crossref, Google Scholar
- (2007) Daily step goal of 10,000 steps: A literature review. Clinical Investigative Medicine 30(3):146–151.Crossref, Google Scholar
- (2013) Gamification: What it is and why it matters to digital health behavior change developers. JMIR Serious Games 1(1):e3.Crossref, Google Scholar
- (2012) Exercise therapy in type 2 diabetes: Is daily exercise required to optimize glycemic control? Diabetes Care 35(5):948–954.Crossref, Google Scholar
- (2013) Robustness and sensitivity of weighting and aggregation in constructing composite indices. Ecological Indicators 29:270–277.Crossref, Google Scholar
- Gallup (2009) Gallup-Healthways Well-Being Index: Methodology report for indexes. Report, Gallup, Inc., Washington, DC.Google Scholar
- (2015) A novel method for expediting the development of patient-reported outcome measures and an evaluation of its performance via simulation. BMC Medical Res. Methodology 15(77):1–14.Google Scholar
- Global Wellness Institute (2014) Global spa and wellness economy monitor. Report, Global Wellness Institute, New York.Google Scholar
- . (2013) Development and validation of a new patient-reported outcome measure for patients with pressure ulcers: The PU-QOL instrument. Health Quality Life Outcomes 11(95):1–12.Google Scholar
- (2006) Data Mining Concepts and Techniques (Elsevier, San Francisco).Google Scholar
- (2015) National Sleep Foundation’s sleep time duration recommendations: Methodology and results summary. Sleep Health 1(1):40–43.Crossref, Google Scholar
- (2016) Promote students’ healthy behavior through sensor and game: A randomized controlled trial. Medical Sci. Educator 26(3):349–355.Crossref, Google Scholar
- (2012) Modelling heterogeneity and dynamics in the volatility of individual wages. J. Appl. Econ. 27(3):386–414.Crossref, Google Scholar
- (2011) A prospective study of diet quality and mental health in adolescents. PLoS ONE 6(9):e24805.Crossref, Google Scholar
- Joint Research Centre-European Commission (2008) Handbook on Constructing Composite Indicators: Methodology and User Guide (OECD Publishing, Paris).Google Scholar
- (2009) Method for producing wellbeing life care index model in ubiquitous environment. Korean Patent 1015555410000, filed March 12, 2009, and issued September 18, 2015.Google Scholar
- (2015) Association between protective behavioral strategies and problem drinking among college students in the Republic of Korea. Addictive Behav. 51(December):171–176.Crossref, Google Scholar
- (2013) Harnessing different motivational frames via mobile phones to promote daily physical activity and reduce sedentary behavior in aging adults. PloS ONE 8(4):e62613.Crossref, Google Scholar
- (2009) Latent class analysis of lifestyle characteristics and health risk behaviors among college youth. Prevention Sci. 10(4):376–386.Crossref, Google Scholar
- (2015) Survey on health-related factors: nutrition knowledge and food habits of college students in Wonju area. Korean J. Community Nutrition 20(2):96–108.Crossref, Google Scholar
- (2016a) Sustainable wearables: Wearable technology for enhancing the quality of human life. Sustainability 8(5):466.Crossref, Google Scholar
- (2016b) Development of an open platform for smart wellness services: Final report on SW product commercialization project. Report, National IT Industry Promotion Agency, Deoksan-myeon, Jincheon-gun, Chungcheongbuk-do, Korea.Google Scholar
- (2013) Development of a Composite Lifestyle Index and its relationship to quality of life improvement: the CLI pilot study. ISRN Preventive Medicine 2013:1–7.Crossref, Google Scholar
- (2016) Examining individuals’ adoption of healthcare wearable devices: An empirical study from privacy calculus perspective. Internat. J. Medical Informatics 88(April):8–17.Crossref, Google Scholar
- (2015) Intelligent mobile, wearable, and ambient technologies for behavioral healthcare. Luxton DD, ed. Artificial Intelligence in Behavioral and Mental Healthcare (Academic Press, New York), 137–162.Google Scholar
- (2000) The wheel of wellness counseling for wellness: A holistic model for treatment planning. J. Counseling Development 78(3):251–266.Crossref, Google Scholar
- (2014) Parents' and students' perceptions of college alcohol risk: The role of parental risk perception in intentions to communicate about alcohol. Addictive Behav. 42:114–118.Crossref, Google Scholar
- (2016) Persuasive design of wellness apps: Consumer behavior perspective. Groza M, Ragland C, eds. Marketing Challenges in a Turbulent Business Environment (Springer, Cham, Switzerland), 455–456.Crossref, Google Scholar
- (2015) Service research priorities in a rapidly changing context. J. Service Res. 18(2):127–159.Crossref, Google Scholar
- (2007) A study on walking speed and stride according to age. Proc. Ergonomics Soc. Korea (Ergonomics Society of Korea, Seoul, Korea), 430–434.Google Scholar
- (2016) The rise of consumer health wearables: Promises and barriers. PLoS Medicine 13(2):e1001953.Crossref, Google Scholar
- (2016) Evaluating user needs in wellness apps. Internat. J. Human-Comput. Interaction 32(2):119–131.Crossref, Google Scholar
- (2015) Effectiveness of interventions targeting physical activity, nutrition and healthy weight for university and college students: A systematic review and meta-analysis. Internat. J. Behav. Nutrition Physical Activity 12(1):45.Crossref, Google Scholar
- (2013) Emerging adult sleep quality: Health and academic performance factors of assessment. J. Sleep Disorders Therapy 2(2):112.Google Scholar
- Research2Guidance (2013) Mobile health market report 2013–2017 (vol. 3): The commercialization of mHealth applications. Report, Research2Guidance, Berlin.Google Scholar
- (2015) Recent advances in wearable sensors for health monitoring. IEEE Sensors J. 15(6):3119–3126.Crossref, Google Scholar
- (2016) An electronic wellness program to improve diet and exercise in college students: A pilot study. JMIR Res. Protocols 5(1):e29.Crossref, Google Scholar
- (2015) Traffic expression through ubiquitous and pervasive sensorization-smart cities and assessment of driving behaviour. Benavente-Peces C, Paillet O, Ahrens A, eds. Proc. 5th Internat. Conf. Pervasive Embedded Comput. Comm. Systems (Science and Technology Publications, Setúbal, Portugal), 33–42.Google Scholar
- (2012) Changes in eating and physical activity behaviors across seven semesters of college: Living on or off campus matters. Health Ed. Behav. 53:300–302.Google Scholar
- (2015) Mobile wellness application-seeking behavior by college students: An exploratory study. Library Inform. Sci. Res. 37(3):201–208.Crossref, Google Scholar
- U.S. Department of Agriculture and U.S. Department of Health and Human Services (2010) Dietary Guidelines for Americans, 7th ed. (U.S. Government Printing Office, Washington, DC).Google Scholar
- (2014) The burden of alcohol use: Excessive alcohol consumption and related consequences among college students. Alcohol Res. 35(2):201–218.Google Scholar
- (2007) Understanding power and rules of thumb for determining sample sizes. Tutorials Quant. Methods Psych. 3(2):43–50.Crossref, Google Scholar

