Emerging Technology for Healthy Lifestyle of the Middle-Age and Elderly: A Scoping Review
Background: Emerging technology research focusing on promoting healthy lifestyles for the middle-aged and elderly is paramount in recent literature. However, limited evidence is available for the middle-aged population. This paper reviews how emerging technologies can help in promoting a healthy lifestyle for the middle-aged and elderly.
Methods: A scoping literature review method was employed. Articles were extracted from online databases published within 2010–2021. Overall, 3,152 articles related to the topic were obtained and 2979 articles were archived via different search procedures. Moreover, 173 articles that met the inclusion criteria underwent qualitative synthesize for conclusive inferences.
Results: Most studies focused on people aged 60 and up, leaving the middle-aged population under-studied and unprepared to age. Older adults have high technology anxiety and resistance to change. Limited studies are available to support technology-based healthy lifestyle promotion for middle-aged people. The emerging technologies that are useful in promoting healthy lifestyle behavior among middle-aged people include: robotics, virtual reality, wearables, artificial intelligence, smart textiles, as well as centralized health information systems.
Conclusion: This review sets as a pace-setter for future research on how emerging technologies can aid in the development of healthy lifestyles for the middle-aged and elderly population, allowing them to live a quality life as they age.
2. Lian JW (2017). Establishing a cloud computing success model for hospitals in Taiwan. INQ, 54. https://doi.org/10.1177/0046958016685836
3. Qi J, Yang P, Min G, Amft O, Dong F, Xu L (2017). Advanced internet of things for personalised healthcare systems: A survey. Pervasive Mob Comput, 41(1): 132-49.
4. Mutlag AA, Abd Ghani MK, Arunkumar N, Mohammed MA, Mohd O (2019). Enabling technologies for fog computing in healthcare IoT systems. Future Gener Comput Syst, 90(1): 62-78.
5. Sun F, Zang W, Gravina R, Fortino G, Li Y (2020). Gait-based identification for elderly users in wearable healthcare systems. Inf Fusion, 53(1): 134-44.
6. Li J, Ma Q, Chan AHS, Man SS (2019). Health monitoring through wearable technologies for older adults: Smart wearables acceptance model. Appl Ergon, 75(1): 162-9.
7. Lv Z, Xia F, Wu G, Yao L, Chen Z (2010). iCare: A Mobile Health Monitoring System for the Elderly. IEEE/ACM Int'l Conference on Green Computing and Communications & Int'l Conference on Cyber, Physical and Social Computing. 18-20 Dec. 2010.
8. Zhao X, Wang L, Ge C, et al (2020). Smartphone application training program improves smartphone usage competency and quality of life among the elderly in an elder university in China: A randomized controlled trial. Int J Med Inform, 133(1): 104010.
9. Mostaghel R (2016). Innovation and technology for the elderly: Systematic literature review. J Bus Res, 69(11): 4896-900.
10. Lai J-Y, Wang J (2015). Switching attitudes of Taiwanese middle-aged and elderly patients toward cloud healthcare services: An exploratory study. Technol Forecast Soc Change, 92(1): 155-67.
11. Arksey H, O'Malley L (2005). Scoping studies: towards a methodological framework. Int J Soc Res Methodol, 8(1): 19-32.
12. Munn Z, Peters MD, Stern C, Tufanaru C, McArthur A, Aromataris E (2018). Systematic review or scoping review? Guidance for authors when choosing between a systematic or scoping review approach. BMC Med Res Methodol, 18(1): 143.
13. Madanian S, Norris T, Parry D (2020). Disaster eHealth: scoping review. J Med Internet Res, 22(10): e18310.
14. Cirella GT, Bąk M, Kozlak A, Pawłowska B, Borkowski P (2019). Transport innovations for elderly people. Res Transp Bus Manag, 30: 100381.
15. Finley EP, Garcia A, Rosen K, McGeary D, Pugh MJ, Potter JS (2017). Evaluating the impact of prescription drug monitoring program implementation: a scoping review. BMC Health Serv Res, 17(1): 420.
16. Gard C (2019). Challenges and Possibilities in Observational Lifestyle Monitoring Technology for the Elderly: A Scoping Review: University of Twente. Availalble from: https://essay.utwente.nl/79174/
17. Peters MD, Godfrey CM, Khalil H, McInerney P, Parker D, Soares CB (2015). Guidance for conducting systematic scoping reviews. Int J Evid Based Healthc, 13(3): 141-6.
18. Tricco AC, Lillie E, Zarin W, O’Brien K, Colquhoun H, Kastner M (2016). A scoping review on the conduct and reporting of scoping reviews. BMC Med Res Methodol, 16(1): 15.
19. Dixon H, Murphy M, Scully M, Rose M, Cotter T (2016). Identifying effective healthy weight and lifestyle advertisements: Focus groups with Australian adults. Appetite, 103: 184-91.
20. Fan J, Yu C, Pang Y, Guo Y, Pei P, Sun Z, (2021). Adherence to healthy lifestyle and attenuation of biological aging in middle-aged and older Chinese adults. J Gerontol A Biol Sci Med Sci, 76(12): 2232–2241.
21. Taj F, Klein MCA, van Halteren A (2019). Digital Health Behavior Change Technology: Bibliometric and Scoping Review of Two Decades of Research. JMIR Mhealth Uhealth, 7(12): e13311.
22. Zlatintsi A, Dometios A, Kardaris N, Rodomagoulakis I, Koutras P, Papageorgiou X (2020). I-Support: A robotic platform of an assistive bathing robot for the elderly population. Rob Auton Syst, 126: 103451.
23. Richard AAR, Sadman MF, Mim UH, Rahman I, Zishan MSR (2019). Health Monitoring System for Elderly and Disabled People. 2019 International Conference on Robotics, Electrical and Signal Processing Techniques (ICREST) 10-12 Jan. 2019.
24. Baker S, Waycott J, Robertson E, Carrasco R, Neves BB, Hampson R (2019). Evaluating the use of interactive virtual reality technology with older adults living in residential aged care. Inf Process Manag, 57(1): 102105. https://doi.org/10.1016/j.ipm.2019.102105
25. Glance D, Berman Y, Pettigrew S, Jongenelis M, Chikritzhs T, Liang W (2017). A virtual online environment for testing the effect of social and physical context on the effectiveness of health warning messages. 2017 IEEE 5th International Conference on Serious Games and Applications for Health (SeGAH); 2-4 April 2017.
26. Barreda-Ángeles M, Hartmann T (2022). Psychological benefits of using social virtual reality platforms during the covid-19 pandemic: The role of social and spatial presence. Comput Hum Behav, 127: 107047.
27. Ball C, Huang K-T, Francis J (2021). Virtual reality adoption during the COVID-19 pandemic: A uses and gratifications perspective. Telemat Inform, 65: 101728.
28. Costa R, Oliveira P, Grilo A, Schwarz A, Cardon G, DeSmet A (2017). SmartLife smart clothing gamification to promote energy-related behaviours among adolescents. International Conference on Engineering, Technology and Innovation (ICE/ITMC); 27-29 June 2017.
29. Costa LV, Veloso AI, Arnab S, Loizou M, Tomlins R, Sukumar A (2019). Scaffolding in Indoor and Outdoor Mobility a Wearable and Mobile Application for Senior Tourism in a Playable City. 14th Iberian Conference on Information Systems and Technologies (CISTI); 2019 19-22 June 2019.
30. Hoof CV (2015). Frictionless wearable technology: The key to unleashing the power of wearable sensors for health and lyfestyle. 10th International Conference on Design & Technology of Integrated Systems in Nanoscale Era (DTIS); 2015 21-23 April 2015.
31. Baker S, Warburton J, Waycott J, Batchelor F, Hoang T, Dow B (2018). Combatting social isolation and increasing social participation of older adults through the use of technology: A systematic review of existing evidence. Australas J Ageing, 37(3): 184-93.
32. Gao F, Sunyaev A (2019). Context matters: A review of the determinant factors in the decision to adopt cloud computing in healthcare. Int J Inf Manage, 48: 120-38.
33. Kadhum AM, Hasan MK (2017). Assessing the determinants of cloud computing services for utilizing health information systems: A case study. Int J Adv Sci Eng Inf Technol, 7(2): 503-10.
34. Gao Z, Lee JE (2019). Emerging Technology in Promoting Physical Activity and Health: Challenges and Opportunities. J Clin Med, 8(11): 1830.
35. Grossi G, Lanzarotti R, Napoletano P, Noceti N, Odone F (2019). Positive technology for elderly well-being: A review. Pattern Recognit Lett, 137: 61-70.
36. Cambria E (2016). Affective computing and sentiment analysis. IEEE Intell Syst, 31(2): 102-7.
37. Faiola A, Papautsky EL, Isola M (2019). Empowering the Aging with Mobile Health: A mHealth Framework for Supporting Sustainable Healthy Lifestyle Behavior. Curr Probl Cardiol, 44(8): 232-66.
38. Etemad-Sajadi R, Dos Santos GG (2019). Senior citizens’ acceptance of connected health technologies in their homes. Int J Health Care Qual, 32(8): 1162-1174
39. Hayn D, Sareban M, Eggerth A, Falgenhauer M, Rzepka A, Traninger H (2020). Telehealth Services for Home-based Rehabilitation of Cardiac Patients. Computing in Cardiology; 13-16 Sept. 2020.
40. Søraa RA, Nyvoll P, Tøndel G, Fosch-Villaronga E, Serrano JA (2021). The social dimension of domesticating technology: Interactions between older adults, caregivers, and robots in the home. Technol Forecast Soc Change, 167: 120678.
41. Wettasinghe PM, Allan W, Garvey G, Timbery A, Hoskins S, Veinovic M (2020). Older Aboriginal Australians' Health Concerns and Preferences for Healthy Ageing Programs. Int J Environ Res Public Health, 17(20).
42. Yen HY (2021). Smart wearable devices as a psychological intervention for healthy lifestyle and quality of life: a randomized controlled trial. Qual Life Res, 30(3): 791-802.
43. Sitar-Taut A-V, Sitar-Taut D-A, Cramariuc O, Negrean V, Sampelean D, Rusu L (2018). Smart homes for older people involved in rehabilitation activities-reality or dream, acceptance or rejection. Balneo Res J, 9(3): 291-8.
44. Ahmadpour N, Pedell S, Mayasari A, Beh J (2019). Co-creating and Assessing Future Wellbeing Technology Using Design Fiction. She Ji, 5(3): 209-30.
45. Aguilar D, Arbaiza F (2021). The Role of Fitness Influencers in Building Brand Credibility through Distorted Imagery of Healthy Living on Instagram. 16th Iberian Conference on Information Systems and Technologies (CISTI); 2021 23-26 June 2021.
46. Buyl R, Beogo I, Fobelets M, Deletroz C, Van Landuyt P, Dequanter S (2020). e-Health interventions for healthy aging: a systematic review. Syst Rev, 9(1): 128.
47. Chatterjee A, Gerdes MW, Martinez SG (2020). Identification of Risk Factors Associated with Obesity and Overweight-A Machine Learning Overview. Sensors, 20(9).
48. Chen Y, Qiu W, Ou R, Huang C (2021). A Contract-Based Insurance Incentive Mechanism Boosted by Wearable Technology. IEEE Internet Things J, 8(7): 6089-100.
49. Garcia JA, Sundara N, Tabor G, Gay VC, Leong TW (2019). Solitaire Fitness: Design of an asynchronous exergame for the elderly to enhance cognitive and physical ability. IEEE 7th International Conference on Serious Games and Applications for Health (SeGAH); 5-7 Aug. 2019.
50. Tremblay M, Latulippe K, Giguere AM, et al (2019). Requirements for an Electronic Health Tool to Support the Process of Help Seeking by Caregivers of Functionally Impaired Older Adults: Co-Design Approach. JMIR aging, 2(1): e12327.
51. Ikehara T, Kojima K (2020). Development of Mobile Muscle Fatigue Display Based on Muscle Fatigue Scale. IEEE International Conference on Consumer Electronics (ICCE); 4-6 Jan. 2020.
52. Li WY, Chiu FC, Zeng JK, Li YW, Huang SH, Yeh HC (2020). Mobile Health App With Social Media to Support Self-Management for Patients With Chronic Kidney Disease: Prospective Randomized Controlled Study. J Med Internet Res, 22(12): e19452.
53. Narayanan S, Lopez G, Powers-James C, Fellman BM, Chunduru A, Li Y (2019). Integrative Oncology Consultations Delivered via Telehealth in 2020 and In-Person in 2019: Paradigm Shift During the COVID-19 World Pandemic. Integr Cancer Ther, 20: 1534735421999101.
54. Yang YI, Hodge AM, Dugué PA, Williamson EJ, Gardiner PA, Barr ELM (2021). Mortality Effects of Hypothetical Interventions on Physical Activity and TV Viewing. Med Sci Sports Exerc, 53(2): 316-23.
55. Kim K-i, Gollamudi SS, Steinhubl S (2017). Digital technology to enable aging in place. Exp. Gerontol, 88: 25-31.
56. Alghamdi NS (2019). Monitoring Mental Health Using Smart Devices with Text Analytical Tool. 6th International Conference on Control, Decision and Information Technologies (CoDIT); 23-26 April 2019.
57. Ma Q, Chen K, Chan AHS, Teh PL (2015). Acceptance of ICTs by older adults: A review of recent studies. International Conference on Human Aspects of IT for the Aged Population; Springer.
58. Talukder MS, Sorwar G, Bao Y, Ahmed JU, Palash MAS (2020). Predicting antecedents of wearable healthcare technology acceptance by elderly: A combined SEM-Neural Network approach. Technol Forecast Soc Change, 150: 119793.
59. Durak HY, Tekin E (2020). Examination of Social Media Use of the Adults Over the Age of 50. Bartin Üniversitesi Egitim Fakültesi Dergisi, 9(2):427-39.
60. Fang Y, Chau AK, Wong A, Fung HH, Woo J (2018). Information and communicative technology use enhances psychological well-being of older adults: the roles of age, social connectedness, and frailty status. Aging Ment Health, 22(11): 1516-24.
61. Kuoppamäki S-M, Uusitalo O, Kemppainen T (2018). A risk to privacy or a need for security?: Digital domestic technologies in the lives of young adults and late middle-agers. Routledge, pp: 167-182.
62. Koskinen V, Ylilahti M, Wilska TA (2017). “Healthy to heaven”—Middle-agers looking ahead in the context of wellness consumption. J Aging Stud, 40: 36-43.
63. Deng Z, Mo X, Liu S (2014). Comparison of the middle-aged and older users’ adoption of mobile health services in China. Int J Med Inform, 83(3): 210-24.
64. Bastaki BB, Bosakowski T, Benkhelifa E (2017). Intelligent assisted living framework for monitoring elders. IEEE/ACS 14th International Conference on Computer Systems and Applications (AICCSA).
65. Fischer SH, David D, Crotty BH, Dierks M, Safran C (2014). Acceptance and use of health information technology by community-dwelling elders. Int J Med Inform, 83(9): 624-35.
|Issue||Vol 52 No 2 (2023)|
|Emerging technology Technology Elderly Healthy lifestyle Middle age Scoping Review|
|Rights and permissions|
|This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.|