Abstract
The purpose of this paper is to explore the impact of healthcare mobile apps for smoking, sugar intake, and obesity on maintaining healthy behavioral activation. We conducted a three-stage experiment with a preliminary survey, a PAM survey, and interviews and found that healthcare mobile apps for smoking, sugar intake, and obesity can improve health behavior activation in healthy people, but these apps should help users improve their ability to prevent and self-manage disease in a simpler and more understandable way. Also, the discussion function of the apps can give users an intuitive perception of the disease and the design of the user discussion area can be enhanced in the future. In addition, the existing apps in the market contain content mainly for people who are already sick, future development of apps can add a prevention module to help users improve their poor health behaviors early and improve their disease self-management skills early.
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References
Clancy, C.M.: Patient engagement in health care. Health Serv. Res. 46(2), 389–393 (2011)
Sawesi, S., Rashrash, M., Phalakornkule, K., Carpenter, J.S., Jones, J.F.: The impact of information technology on patient engagement and health behavior change: a systematic review of the literature. JMIR Med. Infor. 4(1), e1 (2016)
Mukherjee, A., McGinnis, J.: E-healthcare: an analysis of key themes in research. International Journal of Pharmaceutical and Healthcare Marketing 1(4), 349–363 (2007). https://doi.org/10.1108/17506120710840170
Ball, M.J., Lillis, J.: E-health: transforming the physician/patient relationship. Int. J. Med. Inform. 61, 1 (2001). https://doi.org/10.1016/S1386-5056(00)00130-1
Michael, A. , Ricci, M., Sahi, M.A., et al.: State of the Art and future directions: 2018, Privacy Preservation in e-healthcare environments. IEEE Access 6, 464–478 (2018). https://doi.org/10.1109/ACCESS.2017.2767561
Stephens, T.N., Joerin, A., Rauws, M., Werk, L.N.: Feasibility of pediatric obesity and prediabetes treatment support through Tess. AI behavioral coaching chatbot. Transla Behav. Med. 9, 440–447 (2019). https://doi.org/10.1093/tbm/ibz043
McKay, F.H., Wright, A., Shill, J., Stephens, H., Uccellini, M.: Using health and well-being apps for behavior change: a systematic search and rating of apps. JMIR Mhealth Uhealth 7(7), e11926 (2019)
Jiang, H., et al.: A community-based short message service intervention to improve mothers’ feeding practices for obesity prevention: quasi-experimental study. JMIR Mhealth Uhealth 7(6), e13828 (2019)
Ferrara, G., Kim, J., Lin, S., Hua, J., Seto, E.: A focused review of smartphone diet-tracking apps: usability, functionality, coherence with behavior change theory, and comparative validity of nutrient intake and energy estimates. JMIR Mhealth Uhealth 7(5), e9232 (2019)
Fast Facts and Fact Sheets | Smoking and Tobacco Use - CDC.https://www.cdc.gov/tobacco/data_statistics/fact_sheets/fast_facts/index.htm
National Health and Nutrition Examination Survey, 2017–2018; Harvard School of Public Health (2020)
Prada, M., Saraiva, M., Garrido, M.V., Rodrigues, D.L., Lopes, D.: Knowledge about sugar sources and sugar intake guidelines in portuguese consumers. Nutrients 12(12), 3888 (2020). https://doi.org/10.3390/nu12123888
Yanbaeva, D.G., Dentener, M.A., Creutzberg, E.C., Wesseling, G., Wouters, E.F.M.: Systemic effects of smoking. Chest 131, 1557–1566 (2007). https://doi.org/10.1378/chest.06-2179
Campos, M.W., Serebrisky, D., Joao, M.C.M.: Smoking and Cognition. Current Drug Abuse Rev. 9(2) 76–79(4) (2016)
Moreira, A.R.O., et al.: Higher sugar intake is associated with periodontal disease in adolescents. Clin. Oral Invest., 1–9 (2020). https://doi.org/10.1007/s00784-020-03387-1
Chen, J., Lieffers, J., Bauman, A., Hanning, R., Allman-Farinelli, M.: The use of smartphone health apps and other mobile health (mHealth) technologies in dietetic practice: a three country study. J. Hum. Nutr. Diet. 30, 439–452 (2017). https://doi.org/10.1111/jhn.12446
Kerawala, C.J.: Oral cancer: smoking and alcohol: the patients’ perspective. Br. J. Oral Maxillofac. Surg. 37, 374–376 (1999). https://doi.org/10.1054/bjom.1999.0183
McKennell, A.C.: Smoking Motivation Factors. British J. Soc. Clin. Psychol. 9, 8–22 (1970). https://doi.org/10.1111/j.2044-8260.1970.tb00632.x
Leventhal, A.M., Waters, A.J., Kahler, C.W., Ray, L.A., Sussman, S.: Relations between anhedonia and smoking motivation. Nicotine Tob. Res. 11, 1047–1054 (2009). https://doi.org/10.1093/ntr/ntp098
Hibbard, J.H., Stockard, J., Mahoney, E.R., Tusler, M.: Development of the Patient Activation Measure (PAM): conceptualizing and measuring activation in patients and consumers. Health Serv. Res. 39(4 Pt 1), 1005–1026 (2004). https://doi.org/10.1111/j.1475-6773.2004.00269.x
Olszewski, P.K., Wood, E.L., Klockars, A., Levine, A.S.: Excessive consumption of sugar: an insatiable drive for reward. Current Nutr. Reports 8(2), 120–128 (2019). https://doi.org/10.1007/s13668-019-0270-5
Mozes, A.: Why Obese People Find It So Tough to Slim Down, Diet & Weight Management, viewed 19 January (2023)
Trifan, A., Oliveira, M., Oliveira, J.L.: Passive sensing of health outcomes through smartphones: systematic review of current solutions and possible limitations. JMIR Mhealth Uhealth 7(8), e12649 (2019)
Harari, G.M., Lane, N.D., Wang, R., Crosier, B.S., Campbell, A.T., Gosling, S.D.: Using smartphones to collect behavioral data in psychological science: opportunities, practical considerations, and challenges. Perspect. Psychol. Sci. 11(6), 838–854 (2016)
Leijdekkers, P., Gay, V.: Mobile apps for chronic disease management: lessons learned from myFitnessCompanion®. Heal. Technol. 3, 111–118 (2013). https://doi.org/10.1007/s12553-013-0044-9
Anderson, K., Burford, O., Emmerton, L.: Mobile health apps to facilitate self-care: a qualitative study of user experiences. PLoS ONE 11(5), e0156164 (2016). https://doi.org/10.1371/journal.pone.0156164
Fowles, J.B., Terry, P., Xi, M., Hibbard, J., Bloom, C.T., Harvey, L.: Measuring self-management of patients’ and employees’ health: Further validation of the Patient Activation Measure (PAM) based on its relation to employee characteristics. Patient Educ. Couns. 77, 116–122 (2009). https://doi.org/10.1016/j.pec.2009.02.018
Hibbard, J.H., Mahoney, E.R., Stockard, J., Tusler, M.: Development and testing of a short form of the patient activation measure. Health Serv. Res. 40, 1918–1930 (2005). https://doi.org/10.1111/j.1475-6773.2005.00438.x
Eugenio, S., Gianluca, C., Italo, Z., Giancarlo, M., Francesco, S.: Social media and mobile applications in chronic disease prevention and management. Front. Psychol. 6Â (2015). https://doi.org/10.3389/fpsyg.2015.00567
Becker, S., Miron-Shatz, T., Schumacher, N., Krocza, J., Diamantidis, C., Albrecht, U.: ‘mHealth 2.0: Experiences, Possibilities, and Perspectives. JMIR Mhealth Uhealth 2(2) (2014). :https://doi.org/10.2196/mhealth.3328
Heggdal, K.: Utilizing bodily knowledge in patients with chronic illness in the promotion of their health: a grounded theory study. Californian J. Health Promot. 11(3), 62–73 (2013). https://doi.org/10.32398/cjhp.v11i3.1542
McCoy, S.B., Gibbons, F.X., Reis, T.J., et al.: Perceptions of smoking risk as a function of smoking status. J. Behav. Med. 15, 469–488 (1992). https://doi.org/10.1007/BF00844942
Ridings, C.M., Gefen, D., Arinze, B.: Some antecedents and effects of trust in virtual communities. J. Strategic Inf. Syst. 11, 271–295, DOI:https://doi.org/10.1016/S0963-8687(02)00021-5
Yoganathan, D., Kajanan, S.: Persuasive technology for smartphone fitness apps. In: PACIS 2013 Proceedings, pp.185–195 (2013)
Feng, W., Rungting, T., Hsieh, P.: Can gamification increases consumers’ engagement in fitness apps? The moderating role of commensurability of the game elements. J. Retail. Consum. Serv. 57 (2020). https://doi.org/10.1016/j.jretconser.2020.102229
Prada, M.: Perceived associations between excessive sugar intake and health conditions. Nutrients 22  14(3), pp. 640–652 (2022). DOI:https://doi.org/10.3390/nu14030640
Kreski, N.T., et al.: Adolescents’ Use of Free time and associations with substance use from 1991 to 2019. Subst. Use Misuse 42, 1893–1903 (2022)
Lang, A., Froelicher, E.S.: Management of overweight and obesity in adults: behavioral intervention for long-term weight loss and maintenance. Eur. J. Cardiovasc. Nurs. 5(2), 102–114 (2006). https://doi.org/10.1016/j.ejcnurse.2005.11.002
Jiang, A., Foing, B.H., Schlacht, I.L., Yao, X., Cheung, V., Rhodes, P.A.: Colour schemes to reduce stress response in the hygiene area of a space station: a Delphi study. Appl. Ergon. 98, 103573 (2022)
Lu, S., et al.: Effects and challenges of operational lighting illuminance in spacecraft on human visual acuity. In: Advances in Human Aspects of Transportation: Proceedings of the AHFE 2021 Virtual Conference on Human Aspects of Transportation, July 25–29, 2021, USA, pp. 582–588. Springer International Publishing, Cham (June 2021). https://doi.org/10.1007/978-3-030-80012-3_67
Jiang, A., et al.: Space habitat astronautics: multicolour lighting psychology in a 7-Day simulated habitat. Space: Sci. Technol. (2022)
Jiang, A., et al.: Short-term virtual reality simulation of the effects of space station colour and microgravity and lunar gravity on cognitive task performance and emotion. Build. Environ. 227, 109789 (2023)
Jiang, A.O.: Effects of colour environment on spaceflight cognitive abilities during short-term simulations of three gravity states (Doctoral dissertation, University of Leeds) (2022)
Jiang, A., Zhu, Y., Yao, X., Foing, B.H., Westland, S., Hemingray, C.: The effect of three body positions on colour preference: An exploration of microgravity and lunar gravity simulations. Acta Astronaut. 204, 1–10 (2023)
Jiang, A., Yao, X., Cheung, V., Taylor, L.W., Tang, H., Fang, Z.: The effect of body shape and swimsuit type on the comfort of Chinese women wearing swimsuits. Textile Res. J., 00405175221132012 (2022)
Zhang, N., Jiang, Ao.: Co-designing the next generation automatic driving vehicle HMI interface with lead-users. In: Krömker, H. (ed.) HCI in Mobility, Transport, and Automotive Systems: 4th International Conference, MobiTAS 2022, Held as Part of the 24th HCI International Conference, HCII 2022, Virtual Event, June 26 – July 1, 2022, Proceedings, pp. 231–243. Springer International Publishing, Cham (2022). https://doi.org/10.1007/978-3-031-04987-3_16
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Li, X., Jiang, A. (2023). Impact of Healthcare Mobile Apps for Smoking, Sugar Intake, and Obesity on Maintaining Healthy Behavioral Activation. In: Marcus, A., Rosenzweig, E., Soares, M.M. (eds) Design, User Experience, and Usability. HCII 2023. Lecture Notes in Computer Science, vol 14034. Springer, Cham. https://doi.org/10.1007/978-3-031-35705-3_30
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