Volume 11, Issue 2 (December 2025)                   Elderly Health Journal 2025, 11(2): 176-185 | Back to browse issues page


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Ebrahimi M, Ghalandary P, Rostami M. Modeling the Quality of Life in Older Adults Based on Smartphone Use: The Mediating Role of Perceived Social Support and Personality Traits. Elderly Health Journal 2025; 11 (2) :176-185
URL: http://ehj.ssu.ac.ir/article-1-369-en.html
Department of Counseling, Faculty of Humanities and Social Sciences, University of Kurdistan, Sanandaj, , m.rostami@uok.ac.ir
Abstract:   (51 Views)
Introduction: The use of accessible technologies and their practical applications can play a significant role in helping older adults overcome physical and cognitive limitations, frustration, or the loss of active roles in life. This study aimed to investigate the relationship between smartphone use and quality of life, examining the mediating roles of personality traits and perceived social support among Iranian older adults.
Methods: This cross-sectional correlational study employed structural equation modeling (SEM). A total of 300 older adults were selected using purposive sampling. The instruments included a researcher-developed questionnaire on smartphone use, the World Health Organization Quality of Life Scale for Older Adults, the Multidimensional Scale of Perceived Social Support, and the Ten-Item Personality Inventory. Data were analyzed using SEM and multiple regression.
Results: Smartphone use was significantly correlated with quality of life (p < 0.01). Regression analysis showed that perceived social support (β = 0.235, P < 0.01), emotional stability (β = 0.201, p < 0.01), and openness (β = 0.117, p < 0.05) significantly predicted quality of life among older adults. Furthermore, openness and perceived social support mediated the indirect relationship between smartphone use and quality of life. In addition, extraversion and perceived social support jointly served as combined mediators between the predictor and criterion variables.
Conclusion: Smartphone use through the mediating effect of perceived social support, particularly when accompanied by the personality traits of extraversion and openness—can enhance and improve the quality of life in older adults.
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Type of Study: Research | Subject: General
Received: 2025/11/7 | Accepted: 2025/12/20 | Published: 2025/12/19

References
1. United Nations. World population ageing 2013 [Internet]. New York: United Nations; 2013 [cited 2025 Sep 14]. Available from: https://www.un.org/en/development/desa/population/publications/pdf/ageing/WorldPopulationAgeing2013.pdf
2. Beladi Mousavi S. The situation of the elderly in Iran [Internet] (Persian). Tehran: Statistical Centre of Iran; 2017 [cited 2025 Sep 15]. Available from: https://amar.org.ir/news/ID/1983#1608;ضعیت-سالمندان-کشور
3. Planning and Budget Organization. National document for the elderly of the country [Internet] (Persian). Tehran: Secretariat of the National Council of the Elderly; 2020 [cited 2025 Sep 15]. Available from: https://health.tums.ac.ir/uploads/32/2021/Feb/21/%D8%B3%D9%86%D8%AF%20%D9%85%D9%84%DB%8C%20%D8%B3%D8%A7%D9%84%D9%85%D9%86%D8%AF%D8%A7%D9%86%20%DA%A9%D8%B4%D9%88%D8%B1%20%D9%86%D9%87%D8%A7%DB%8C%DB%8C%201%D9%85%D9%87%D8%B199.pdf
4. Steptoe A, Deaton A, Stone AA. Subjective wellbeing, health, and ageing. The Lancet. 2015; 385(9968): 640-8.
5. Kim CH, Park HR, Schlenk E, Kang S, Seo EJ. The moderating role of acculturation mode on the relationship between depressive symptoms and health-related quality of life among international students in Korea. Archives of Psychiatric Nursing 2019; 33(6): 192-7.‌
6. World Health Organization. Ageing and health. World Health Organization, 2024 [Internet]. [cited 2025 Sep 15]. Available from: https://www.who.int/news-room/fact-sheets/detail/ageing-and-health
7. Briede-Westermeyer JC, Pacheco-Blanco B, Luzardo-Briceño M, Pérez-Villalobos C. Mobile phone use by the elderly: relationship between usability, social activity, and the environment. Sustainability. 2020; 12(7): 1-14.
8. Stellefson M, Chaney B, Barry AE, Chavarria E, Tennant B, Walsh-Childers, et al. Web 2.0 chronic disease self-management for older adults: a systematic review. Journal of Medical Internet Research. 2013; 15(2): 35.
9. Lee BJ, Myeong S. The impact of informatization awareness and internet usage on the formation of social network in the elderly: Focusing on metropolitan city. Journal of Korean Association for Regional Information Society. 2010; 13(4): 51-179.‌
10. Salman HM, Ahmad WF, Sulaiman S. Usability evaluation of the smartphone user interface in supporting elderly users from experts’ perspective. IEEE Access. 2018, 6: 22578-91.
11. Azizi M, Salari Pak S. Predicting quality of life based on personality traits (five major factors) in people with a history of self-harm. Journal of Psychology New Ideas 2021; 9(13): 1-8. [Persian]
12. Afrookhteh G, Arefi M, Kakabarayee K. Structural equation modeling of personality traits, quality of life and life expectancy. Middle Eastern Journal of Disability Studies. 2019; 9(1): 1-12. (Persian)
13. Aazami Y, Moatamedy A, Jalalvand M, Rostami M, Piri R. The Quality of life in the Retirement: The role of personality traits, coping strategies and religious attitudes. Aging Psychology. 2020; 6(3): 205-17.
14. Weber K, Canuto A, Giannakopoulos P, Mouchian A, Meiler-Mititelu, C, Meiler A, et al. Personality, psychosocial and health-related predictors of quality of life in old age. Aging & Mental Health. 2015; 19(2): 151-8.‌
15. Farmani F, Sarmadi M, Jahanshahloo M. The Prediction of Quality of Life-based on Personality Traits and Spiritual Intelligence in the Elderly. Elderly Health Journal. 2022; 8(2): 75-81.
16. Ilanloo H, Ahmadi S, Farahani N, Hasani, MB, Rezaei M. Life satisfaction prediction based on early maladaptive schemas and lifestyle in nurses. Journal of Psychological Sciences. 2020; 19(88): 431-7. (Persian)
17. Vedder P, Boekaerts M, Seegers G. Perceived social support and wellbeing in school; The role of students’ ethnicity. Journal of Youth and Adolescence. 2005; 34(3): 269-78.
18. Bavazin F, Sepahvandi MA. The study of the relationship between social support and social and psychological well-being among elderly people in city of Khorramabad in 2017. Nursing and Midwifery Journal. 2018; 15(12): 931-8.
19. Ha EH, Lee YW. Difference in self-esteem and quality of life according to perceived social support in institutionalized elderly people. Journal of Korean Gerontological Nursing. 2004; 6(1): 47-54.‌
20. Murrell SA, Norris FH, Chipley QT. Functional versus structural social support, desirable events, and positive affect in older adults. Psychology and Aging. 1992; 7(4): 562-70.
21. Coker AL, Sanderson M, Ellison G L, Fadden MK. Stress, coping, social support, and prostate cancer risk among older African American and Caucasian men. Ethnicity & Disease. 2006; 16(4): 978–87.
22. Daffner KR. Promoting successful cognitive aging: a comprehensive review. Journal of Alzheimer’s Disease. 2010; 19(4): 1101-22.
23. Hosseini A, Majdi AA, Esmaili AA. The role of social support in the general health of the elderly. Journal of Health System Research. 2017; 13(1): 52-7.
24. Beattie S, Lebel S, Tay J. The influence of social support on hematopoietic stem cell transplantation survival: a systematic review of literature. PLoS One. 2013; 8(4): 61586.
25. Chopik WJ. Associations among relational values, support, health, and well-being across the adult lifespan. Personal Relationships. 2017; 24(2): 408–22.
26. Hofer M, Hargittai E, Büchi M, Seifert A. Older adults’ online information seeking and subjective well-being: The moderating role of personality traits. International Journal of Communication. 2020; 23(3): 346–69.
27. Wilmer HH, Sherman LE, Chein JM. Smartphones and cognition: a review of research exploring the links between mobile technology habits and cognitive functioning. Frontiers in Psychology. 2017; 8: 605.
28. McGaughey RE, Zeltmann SM, McMurtrey ME. Motivations and obstacles to smartphone use by the elderly: developing a research framework. International Journal of Electronic Finance. 2013; 7(3-4): 177-95.
29. Wilson J, Heinsch M, Betts D, Booth D, Kay-Lambkin F. Barriers and facilitators to the use of e-health by older adults: A scoping review. BMC Public Health. 2021; 21(1): 1556.
30. Chan CKY, Burton K, Flower RL. Facilitators and barriers of technology adoption and social connectedness among rural older adults: A qualitative study. Health Psychology and Behavioral Medicine. 2024; 12(1): 2398167.
31. Safdari R, Shams Abadi AR, Pahlevany Nejad S. Improve health of the elderly people with m-health and technology. Salmand: Iranian Journal of Ageing. 2018; 13(3): 288-99. (Persian)
32. Coelho J, Duarte C. A literature survey on older adults' use of social network services and social applications. Computers in Human Behavior. 2016; 58: 187-205.
33. Kline R. Principles and Practice of Structural Equation Modeling (Methodology in the Social Sciences). 3rd Edition. New York: Guilford Press: 2011.
34. Power M, Quinn K, Schmidt S, Whoqol-Old Group. Development of the WHOQOL-old module. Quality of Life Research. 2005; 14(10): 2197-214.
35. Rezaeipandari H, Morowatisharifabad MA, Mohammadpoorasl A, Shaghaghi A. Cross-cultural adaptation and psychometric validation of the World Health Organization quality of life-old module (WHOQOL-OLD) for Persian-speaking populations. Health and Quality of Life Outcomes. 2020; 18(1): 67.
36. Stanley MA, Beck JG, Zebb BJ. Psychometric properties of the MSPSS in older adults. Aging & Mental Health. 1998; 2(3): 186-93.
37. Başol G. Validity and reliability of the multidimensional scale of perceived social support-revised, with a Turkish sample. Social Behavior and Personality: an International Journal. 2008; 36(10): 1303-13.
38. Rajabi G, Hashemi-Shabani SE. The study of psychometric properties of the Multidimensional Scale Perceived Social Support. International Journal of Behavioral Science. 2012; 5(4): 357-64. (Persian)
39. Gosling SD, Rentfrow PJ, Swann Jr WB. A very brief measure of the big-five personality domains. Journal of Research in Personality. 2003; 37(6): 504-28.
40. Łaguna M, Bąk W, Purc E, Mielniczuk E, Oleś PK. Short measure of personality TIPI-P in a Polish sample. Roczniki Psychologiczne. 2014; 17(2): 421–37.
41. Romero E, Villar P, Gómez-Fraguela JA, López-Romero L. Measuring personality traits with ultra-short scales: A study of the Ten Item Personality Inventory (TIPI) in a Spanish sample. Personality and Individual Differences. 2012; 53(3): 289–93.
42. Azkhosh M, Sahaf R, Rostami M, Ahmadi A. Reliability and validity of the 10-item personality inventory among older Iranians. Psychology in Russia: State of the Art. 2019; 12(3): 29-40.
43. Millard A, Baldassar L, Wilding R. The significance of digital citizenship in the well-being of older migrants. Public Health. 2018;158: 144-8.
44. Kim MY, Jeon HJ. The effects of smartphone use on life satisfaction in older adults:The mediating role of participation in social activities. Korean Journal of Gerontological Social Welfare. 2017; 72(3): 343–70.
45. Sagong H, Yoon JY. The effects of smartphone use on life satisfaction in older adults: The mediating role of depressive symptoms. Computers, Informatics, Nursing. 2022; 40(8): 523-30.
46. Jeong HN, Chang SJ, Kim S. Associations with smartphone usage and life satisfaction among older adults: Mediating roles of depressive symptoms and cognitive function. Geriatric Nursing. 2024; 55: 168-75.
47. Kuoppamäki S, Östlund B. Digital mobile technology enhancing social connectedness among older adults in Sweden. Human Aspects of IT for the Aged Population. Technologies, Design and User Experience. 2020: 289-302.
48. Zhao X, Wang L, Ge C, Zhen X, Chen Z, Wang J, et al. 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. International Journal of Medical Informatics. 2020; 133: 104010.
49. Yoshany N, Seyed Khameshi SS, Rezaei M, Baghin N, Kakolaki ZK. Relationship between quality of life and using smart phones in the elderly. Journal of Education and Community Health. 2019; 6(4): 247-55. [Persian]
50. Nam, SJ. Mediating effect of social support on the relationship between older adults’ use of social media and their quality-of-life. Current Psychology. 2021; 40(9): 4590-8.‌
51. Soundararajan A, Lim JX, Ngiam NHW, Tey AJ, Tang AKW, Lim HA, et al. Smartphone ownership, digital literacy, and the mediating role of social connectedness and loneliness in improving the wellbeing of community-dwelling older adults of low socio-economic status in Singapore. PLoS One. 2023; 18(8): 1-14.
52. Zhang K, Kim K, Silverstein NM, Song Q, Burr JA. Social media communication and loneliness among older adults: the mediating roles of social support and social contact. Gerontologist. 2021; 61(6): 888-96.
53. Kim MY. The effects of smartphone use on life satisfaction, depression, social activity and social support of older adults. Journal of the Korea Academia-Industrial cooperation Society. 2018; 19(11): 264-277.‌
54. Elhai JD, Levine JC, Dvorak RD, Hall BJ. Non-social features of smartphone use are most related to depression, anxiety and problematic smartphone use. Computers in Human Behavior. 2017; 69: 75-82.‌
55. Kim MY, Kang YH, Jung DY, Lee GJ. Older adults’ smart phone use and access to health information. Journal of Qualitative Research. 2013; 14(1), 13-22.‌
56. Nie P, Ma W, Sousa-Poza A. The relationship between smartphone use and subjective well-being in rural China. Electronic Commerce Research. 2021; 21(4): 983-1009.‌
57. Chopik WJ. The benefits of social technology use among older adults are mediated by reduced loneliness. Cyberpsychology, Behavior, and Social Networking. 2016; 19(9): 551-556.
58. Hwang SH, Lee HJ, Ha EH, Kim SH, Jung GK, Choi HJ. The effects of Use of Smartphone and cognitive function on Depression and Loneliness of Life in elders. The Journal of Occupational Therapy for the Aged and Dementia. 2017; 11(1): 9-19.‌
59. Llorente-Barroso C, Kolotouchkina O, Mañas-Viniegra L. The enabling role of ICT to mitigate the negative effects of emotional and social loneliness of the elderly during COVID-19 pandemic. International Journal of Environmental Research and Public Health. 2021; 18(8): 3923.
60. Tesch-Roemer C, Huxhold O. Social isolation and loneliness in old age. In Oxford research Encyclopedia of Psychology. Oxford University Press. 2019.
61. Singh A, Misra N. Loneliness, depression and sociability in old age. Industrial Psychiatry Journal. 2009; 18(1):51-5.
62. Kurniawan S. Older people and mobile phones: A multi-method investigation. International Journal of Human-Computer Studies. 2008; 66(12): 889-901.

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