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Smartphone use, intergenerational support and older adults’ wellbeing

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Abstract

This study takes the Danish retired older adults as the research object, investigating the interrelations among smartphone use, intergenerational support and older adults’ eudaimonic wellbeing through quantitative and qualitative methods. The technology acceptance model (TAM) and semi-structured in-depth interviews were employed to evaluate whether the proposed hypotheses were confirmed. The results revealed that the use of smartphones as an information technology device had an impact on the path from the attitude toward use to actual smartphone use. Also, they had a positive effect on older adults’ eudaimonic wellbeing. The findings demonstrated that the design and use of smartphones are in line with the physiological characteristics of older adults, and calls on them to use smartphones healthily. This study also confirmed that the physical needs and emotional needs of intergenerational support from children can positively promote older adults’ wellbeing, even though in individualistic cultures, where intergenerational support perhaps matters less.

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Notes

  1. This notion has been partly debunked. The divide may be more complex and subtle, as for example, educated older adults or with higher incomes may be quite digitally savvy (see e.g. Peacock & Künemund 2007; Deursen et al., 2014; Serrano-Cinca et al., 2018) due to the different socio-cultural context where they are involved. Nevertheless, there remain exists a clear division, particularly amongst those aged over 65 if the older population are treated as heterogenous (see e.g. Statistics Finland 2010), and also, of the 70 percent of European residents who use Internet, there are 19 percent who has never accessed it (European Commission 2016).

  2. It should be noted however, that the positive effects of smartphone use on older adults’ wellbeing are still mainly a theoretically based assumption, which has not been demonstrated empirically. Since the relationship is, anyhow, assumed to be mediated by a variety of factors, it should not be taken for granted. It is an especially open question to what extent a positive effect can be shown among Western older adults, both because existing studies have mostly targeted Eastern (not least Chinese) older adults and because Western older adults are assumed to be more individualistic, and also to assess their own wellbeing based on a more hedonistic understanding.

References

  • Aboderin, I. (2004). Modernisation and ageing theory revisited: Current explanations of recent developing world and historical western shifts in material family support for older people. Ageing and Society, 24(1), 29–50. https://doi.org/10.1017/S0144686X03001521

    Article  Google Scholar 

  • Ahn, T., & Choi, K. D. (2018; 2019). Grandparent caregiving and cognitive functioning among older people: Evidence from korea. Review of Economics of the Household, 17(2), 553–586. https://doi.org/10.1007/s11150-018-9413-5

  • Ajzen, I. (1985). From intentions to actions: A theory of planned behavior. In J. Kuhl & J. Beckmann (Eds.), Action- control: From cognition to behavior (pp. 11–39). Springer.

    Chapter  Google Scholar 

  • Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50, 179–211.

    Article  Google Scholar 

  • Albertini, M., & Mantovani, D. (2022). Older parents and filial support obligations: A comparison of family solidarity norms between native and immigrant populations in Italy. Ageing and Society, 42(11), 2556–2587. https://doi.org/10.1017/S0144686X21000106

    Article  Google Scholar 

  • Amaral, I., & Daniel, F. (2018). The use of social media among senior citizens in portugal: Active ageing through an intergeneration approach. Human aspects of IT for the aged population. acceptance, communication and participation (pp. 422–434). Springer International Publishing. https://doi.org/10.1007/978-3-319-92034-4_32

  • Anderson, J. C., & Gerbing, D. W. (1988). Structural Equation Modeling in Practice. Psychological Bulletin, 103(3), 411–423.

    Article  Google Scholar 

  • Antonucci, T. (1990). Social supports and social relationships. In R. H. Binstock & L. K. George (Eds.), Handbook of aging and the social sciences (3rd ed., pp. 205–226). Academic Press.

    Google Scholar 

  • Arpino, B., & Bordone, V. (2014). Does grandparenting pay off? the effect of child care on grandparents’ cognitive functioning. Journal of Marriage and Family, 76(2), 337–351. https://doi.org/10.1111/jomf.12096

    Article  Google Scholar 

  • Bengtson, V. L. (2001). Beyond the nuclear family: The increasing importance of multigenerational bonds. Journal of Marriage and Family, 63(1), 1–16. https://doi.org/10.1111/j.1741-3737.2001.00001.x

    Article  MathSciNet  Google Scholar 

  • Bentler, P. M., & Bonett, D. G. (1980). Significance tests and goodness-of-fit in the analysis of covariance structures. Psychological Bulletin, 88, 588–606.

    Article  Google Scholar 

  • Bentler, P. M. (1989). EQS structural equations program manual. BMDP Statistical Soft- Ware.

    Google Scholar 

  • Bradburn, N. M. (1969). The structure of psychological well-being. Aldine.

    Google Scholar 

  • Briede-Westermeyer, J. C., Pacheco-Blanco, B., Luzardo-Briceño, M., & Pérez-Villalobos, C. (2020). Mobile phone use by the elderly: Relationship between usability, social activity, and the environment. Sustainability (Basel, Switzerland), 12(7), 2690. https://doi.org/10.3390/su12072690

    Article  Google Scholar 

  • Bruner, G. C., & Kumar, A. (2005). Explaining consumer acceptance of handheld internet devices. Journal of Business Research, 58(5), 553–558. https://doi.org/10.1016/j.jbusres.2003.08.002

    Article  Google Scholar 

  • Bucher, T., & Helmond, A. (2017). The affordances of social media platforms. In J. Burgess, T. Poell, & A. Marwick (Eds.), The SAGE handbook of social media (pp. 233–253). SAGE Publications.

    Google Scholar 

  • Cangur, S., & Ercan, I. (2015). Comparison of model fit indices used in structural equation modeling under multivariate normality. Journal of Modern Applied Statistical Methods, 14(1), 152e167.

    Article  Google Scholar 

  • Chen, X., & Silverstein, M. (2000). Intergenerational social support and the psychological well-being of older parents in China. Research on Aging, 22(1), 43–65.

    Article  CAS  Google Scholar 

  • Chen, S., Yen, D. C., & Peng, S. (2018). Assessing the impact of determinants in e-magazines acceptance: An empirical study. Computer Standards and Interfaces, 57, 49–58. https://doi.org/10.1016/j.csi.2017.11.004

    Article  Google Scholar 

  • Cheng, S., Chen, S., & Yen, D. C. (2015). Continuance intention of E-portfolio system: A confirmatory and multigroup invariance analysis of technology acceptance model. Computer Standards and Interfaces, 42, 17–23. https://doi.org/10.1016/j.csi.2015.03.002

    Article  CAS  Google Scholar 

  • Cheung, C., Kwan, A. Y., & Ng, S. H. (2006). Impacts of filial piety on preference for kinship versus public care. Journal of Community Psychology, 34(5), 617–634. https://doi.org/10.1002/jcop.20118

    Article  Google Scholar 

  • Chin, W. W. (1998). Issues and opinion on structural equation modeling. MIS Quarterly, 22(1), VII.

    Google Scholar 

  • Ching, B. H., Xu, J. T., Chen, T. T., & Kong, K. H. C. (2020). Gender essentialism, authoritarianism, social dominance orientation, and filial piety as predictors for transprejudice in Chinese people. Sex Roles, 83(7–8), 426–441. https://doi.org/10.1007/s11199-020-01123-3

    Article  Google Scholar 

  • Chu, C. Y., Xie, Y., & Yu, R. R. (2011). Coresidence With Elderly Parents: A Comparative Study of Southeast China and Taiwan. Journal of Marriage and the Family, 73(1), 120–135. https://doi.org/10.1111/j.1741-3737.2010.00793.x

    Article  PubMed  PubMed Central  Google Scholar 

  • Cong, Z., & Silverstein, M. (2008). Intergenerational time-for-money exchanges in rural china: Does reciprocity reduce depressive symptoms of older grandparents? Research in Human Development, 5(1), 6–25. https://doi.org/10.1080/15427600701853749

    Article  Google Scholar 

  • Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340.

    Article  Google Scholar 

  • Deursen, V., Maria, A. J. A., & van Dijk, J. A. G. M. (2014). The digital divide shifts to differences in usage. New Media & Society, 16(3), 507–526. https://doi.org/10.1177/1461444813487959

    Article  Google Scholar 

  • Diener, E., Oishi, S., & Lucas, R. E. (2002). Subjective well-being: The science of happiness and life satisfaction. In C. R. Snyder & S. J. Lopez (Eds.), Handbook of positive Psychology (pp. 63–73). Oxford University Press.

    Google Scholar 

  • Diener, E. (2009). The science of well-being: The collected works of Ed Diener (Vol. 37, pp. 11–58). Springer.

  • Ding, L., Velicer, W. F., & Harlow, L. L. (1995). Effects of estimation methods, number of indicators per factor, and improper solutions on structural equation modeling fit indices. Structural Equation Modeling: A Multidisciplinary Journal, 2(2), 119–143. https://doi.org/10.1080/10705519509540000

    Article  Google Scholar 

  • Elo, S., & Kyngäs, H. (2008). The qualitative content analysis process. Journal of Advanced Nursing, 62, 107–115. https://doi.org/10.1111/j.1365-2648.2007.04569.x

    Article  PubMed  Google Scholar 

  • Emiliussen, J., Engelsen, S., Christiansen, R., et al. (2021). The good life in care homes–a qualitative investigation with residents, relatives, care workers and managers. Ageing International. https://doi.org/10.1007/s12126-021-09438-6

    Article  Google Scholar 

  • Erikson, E. (1997). The Life Cycle Completed. Norton.

    Google Scholar 

  • European Commission. (2016). Digital Agenda Scoreboard. Available at https://ec.europa.eu/digital-single-market/en/scoreboard/spain. Accessed 10 Oct 2021.

  • Fei, X. (1992). From the soil: The foundations of chinese society. University of California Press.

    Book  Google Scholar 

  • Fehring, R. J., Miller, J. F., & Shaw, C. (1997). Spiritual well-being, religiosity, hope, depression, and other mood states in elderly people coping with cancer. Oncology Nursing Forum, 24(4), 663–671.

    CAS  PubMed  Google Scholar 

  • Fornell, C., & Larcker, D. F. (1981). Structural equation models with unobservable variables and measurement error: Algebra and statistics. Journal of Marketing Research, 18(3), 382. https://doi.org/10.2307/3150980

    Article  Google Scholar 

  • Fornell, C., & Bookstein, F. L. (1982). Two structural equation models: LISREL and PLS applied to consumer exit-voice theory. Journal of Marketing Research, 19(4), 440–452. https://doi.org/10.1177/002224378201900406

    Article  Google Scholar 

  • Gefen, D., Karahanna, E., & Straub, D. W. (2003). Trust and TAM in online shopping: An integrated model. MIS Quarterly, 27(1), 51–90. Retrieved from https://proxy3-bib.sdu.dk/login?urlhttps://www.proquest.com/scholarly-journals/trust-tam-online-shopping-integrated-model/docview/218117684/se-2?accountid=14211.

    Article  Google Scholar 

  • Gilleard, C., & Higgs, P. (2008). Internet use and the digital divide in the english longitudinal study of ageing. European Journal of Ageing, 5(3), 233–239. https://doi.org/10.1007/s10433-008-0083-7

    Article  PubMed  PubMed Central  Google Scholar 

  • Goodman, C., & Silverstein, M. (2002). Grandmothers raising grandchildren: Family structure and well-being in culturally diverse families. The Gerontologist, 42(5), 676–689.

    Article  PubMed  Google Scholar 

  • Guo, M., Chi, I., & Silverstein, M. (2017). Intergenerational support and depression among Chinese older adults: Do gender and widowhood make a difference? Ageing and Society, 37(4), 695–724.

    Article  Google Scholar 

  • Greenhalgh, T., & Stones, R. (2010). Theorising big IT programmes in healthcare: Strong structuration theory meets actor-network theory. Social Science & Medicine, 70(9), 1285–1294.

    Article  Google Scholar 

  • Hagger, M. S., Anderson, M., Kyriakaki, M., & Darkings, S. (2007). Aspects of identity and their influence on intentional behavior: Comparing effects for three health behaviors. Personality and Individual Differences, 42(2), 355–367. https://doi.org/10.1016/j.paid.2006.07.017

    Article  Google Scholar 

  • Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2014). Multivariate data analysis (7th ed.). Pearson Education Limited.

    Google Scholar 

  • Haybron, D. (2008). The Pursuit of Unhappiness. Oxford University Press.

    Book  Google Scholar 

  • Ho, L., Hung, C., & Chen, H. (2013). Using theoretical models to examine the acceptance behavior of mobile phone messaging to enhance parent–teacher interactions. Computers and Education, 61, 105–114. https://doi.org/10.1016/j.compedu.2012.09.009

    Article  Google Scholar 

  • Holden, R. J., & Karsh, B. T. (2010). The technology acceptance model: Its past and its future in health care. Journal of Biomedical Informatics, 43(1), 159–172.

    Article  PubMed  Google Scholar 

  • Howells, A., Ivtzan, I., & Eiroa-Orosa, F. J. (2014;2016;). Putting the ‘app’ in happiness: A randomised controlled trial of a smartphone-based mindfulness intervention to enhance wellbeing. Journal of Happiness Studies, 17(1), 163–185. https://doi.org/10.1007/s10902-014-9589-1

  • Hsieh, H.-F., & Shannon, S. E. (2005). Three Approaches to Qualitative Content Analysis. Qualitative Health Research, 15(9), 1277–1288. https://doi.org/10.1177/1049732305276687

    Article  PubMed  Google Scholar 

  • Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6(1), 1–55. https://doi.org/10.1080/10705519909540118

    Article  Google Scholar 

  • Huxhold, O., Hees, E., & Webster, N. J. (2020). Towards bridging the grey digital divide: Changes in internet access and its predictors from 2002 to 2014 in Germany. European Journal of Ageing, 17(3), 271–280. https://doi.org/10.1007/s10433-020-00552-z

    Article  PubMed  PubMed Central  Google Scholar 

  • Ichimura, H., Lei, X., Lee, C., Lee, J., Park, A., Sawada, Y., & Yasuyuki, S. (2017). Wellbeing of the Elderly in East Asia: China, Korea, and Japan. RIETI.

    Google Scholar 

  • Inglehart, R., & Klingemann, H. D. (2000). Genes, culture, democracy, and happiness. In E. Diener & E. M.Suh (Eds.), Culture and subjective well-being (pp. 165–183). The MIT Press.

  • Jin, C. (2014). Adoption of e-book among college students: The perspective of an integrated TAM. Computers in Human Behavior, 41, 471–477. https://doi.org/10.1016/j.chb.2014.09.056

    Article  Google Scholar 

  • Joshanloo, M. (2013;2014;). Eastern conceptualizations of happiness: Fundamental differences with western views. Journal of Happiness Studies, 15(2), 475–493. https://doi.org/10.1007/s10902-013-9431-1.

  • Kahneman, D. (1999). Objective happiness. Well-being: The Foundations of Hedonic Psychology, 3(25), 1–23.

    Google Scholar 

  • Kahneman, D. (2000). Experienced Utility and Happiness: A Moment-Based Approach. In D. Kahneman & A. Tversky (Eds.), Choices, Values and Frames (pp. 673–692). Cambridge University Press.

    Chapter  Google Scholar 

  • Kahneman, D., Krueger, A. B., Schkade, D., Schwarz, N., & Stone, A. (2004). Toward national well-being accounts. American Economic Review, 94(2), 429–434.

    Article  Google Scholar 

  • Kim, E., Lee, J., Sung, Y., & Choi, S. M. (2016). Predicting selfie-posting behavior on social networking sites: An extension of theory of planned behavior. Computers in Human Behavior, 62, 116–123. https://doi.org/10.1016/j.chb.2016.03.078

    Article  Google Scholar 

  • Kirchengast, S., & Haslinger, B. (2015). Intergenerational Contacts Influence Health Related Quality of Life (HRQL) and Subjective Well Being among Austrian Elderly. Collegium Antropologicum, 39(3), 551–556.

    PubMed  Google Scholar 

  • Klausen, S. H. (2019). Understanding Older Adults’ Wellbeing from a Philosophical Perspective. Journal of Happiness Studies, 21, 2629–2648. https://doi.org/10.1007/s10902-019-00197-5

    Article  Google Scholar 

  • Lang, F. R., & Schütze, Y. (2002). Adult children’s supportive behaviors and older parents’ subjective well-being-A developmental perspective on intergenerational relationships. Journal of Social Issues, 58(4), 661–680. https://doi.org/10.1111/1540-4560.00283

    Article  Google Scholar 

  • Lee, Y., Kozar, K. A., & Larsen, K. R. (2003). The technology acceptance model: Past, present, and future. Communications of the Association for Information Systems, 12(1), 50.

    ADS  Google Scholar 

  • Lee, Y. H., Hsieh, Y. C., & Chen, Y. H. (2013). An investigation of employees’ use of e-learning systems: Applying the technology acceptance model. Behaviour & In- formation Technology, 32(2), 173e189. https://doi.org/10.1080/0144929x.2011.577190

    Article  Google Scholar 

  • Li, Y., & Guo, M. (2022). Filial piety matters: A study of intergenerational supports and parental health. SSM - Population Health, 18, 101096–101096. https://doi.org/10.1016/j.ssmph.2022.101096

    Article  PubMed  PubMed Central  Google Scholar 

  • Liang, J., Krause, N. M., & Bennett, J. M. (2001). Social exchange and well-being: Is giving better than receiving? Psychology and Aging, 16(3), 511–523. https://doi.org/10.1037/0882-7974.16.3.511

    Article  CAS  PubMed  Google Scholar 

  • Liu, L., Wu, F., Tong, H., Hao, C., & Xie, T. (2021). The digital divide and active aging in china. International Journal of Environmental Research and Public Health, 18(23), 12675. https://doi.org/10.3390/ijerph182312675

    Article  PubMed  PubMed Central  Google Scholar 

  • Lu, L. (2001). Understanding happiness: A look into the Chinese folk psychology. Journal of Happiness Studies, 2(4), 407–432.

    Article  CAS  ADS  Google Scholar 

  • Lu, L., & Gilmour, R. (2004). Culture and conceptions of happiness: Individual oriented and social oriented swb. Journal of Happiness Studies, 5(3), 269–291. https://doi.org/10.1007/s10902-004-8789-5

    Article  Google Scholar 

  • Lu, H., & Kandilov, I. T. (2021). Does mobile internet use affect the subjective well-being of older chinese adults? an instrumental variable quantile analysis. Journal of Happiness Studies, 22(7), 3137–3156. https://doi.org/10.1007/s10902-021-00365-6

    Article  Google Scholar 

  • Madianou, M., & Miller, D. (2013). Polymedia: Towards a new theory of digital media in interpersonal communication. International Journal of Cultural Studies, 16(2), 169–187. https://doi.org/10.1177/1367877912452486

    Article  Google Scholar 

  • Mann, W. C., Helal, S., Davenport, R. D., Justiss, M. D., Tomita, M. R., & Kemp, B. J. (2004). Use of cell phones by elders with impairments: Overall appraisal, satisfaction, and suggestions. Technology and Disability, 16(1), 49–57. https://doi.org/10.3233/TAD-2004-16106

    Article  Google Scholar 

  • Mansson, L., Wiklund, M., Öhberg, F., Danielsson, K., & Sandlund, M. (2020). Co-creation with older adults to improve user-experience of a smartphone self-test application to assess balance function. International Journal of Environmental Research and Public Health, 17(11), 3768. https://doi.org/10.3390/ijerph17113768

    Article  PubMed  PubMed Central  Google Scholar 

  • Marangunić, N., & Granić, A. (2015). Technology acceptance model: A literature review from 1986 to 2013. Universal Access in the Information Society, 14(1), 81–95.

    Article  Google Scholar 

  • Nef, T., Ganea, R. L., Müri, R. M., & Mosimann, U. P. (2013). Social networking sites and older users – a systematic review. International Psychogeriatrics, 25(7), 1041–1053. https://doi.org/10.1017/S1041610213000355

    Article  PubMed  Google Scholar 

  • Norris, P. (2001). Digital divide: Civic engagement, information poverty, and the Internet worldwide. Cambridge University Press.

    Book  Google Scholar 

  • Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric Theory. McGraw-Hill.

    Google Scholar 

  • Oxman, T. E., & Hull, J. G. (1997). Social support, depression, and activities of daily living in older heart surgery patients. The Journals of Gerontology Series B: Psychological Sciences and Social Sciences, 52(1), P1–P1.

    Article  Google Scholar 

  • Pai, F., & Huang, K. (2011). Applying the technology acceptance model to the introduction of healthcare information systems. Technological Forecasting & Social Change, 78(4), 650–660. https://doi.org/10.1016/j.techfore.2010.11.007

    Article  Google Scholar 

  • Park, H. (2021). Does filial piety still matter? A filiality-based perspective on intergenerational solidarity and cooperation. Journal of Intergenerational Relationships, 19(1), 78–91. https://doi.org/10.1080/15350770.2021.1868232

    Article  MathSciNet  Google Scholar 

  • Pavot, W., & Diener, E. (2008). The Satisfaction with Life Scale and the emerging construct of life satisfaction. Journal of Positive Psychology, 3, 137–152.

    Article  Google Scholar 

  • Peacock, S. E., & Künemund, H. (2007). Senior citizens and Internet technology: Reasons and correlates of access versus non-access in a European comparative perspective. European Journal of Ageing, 4(4), 191–200. https://doi.org/10.1007/s10433-007-0067-z

    Article  PubMed  PubMed Central  Google Scholar 

  • Pietkiewicz, I., & Smith, J. A. (2014). A Practical Guide to Using Interpretative Phenomenological Analysis in Qualitative Research Psychology. Psychological Journal, 20, 7–14.

    Google Scholar 

  • Pohlmann, J. T. (2004). Use and interpretation of factor analysis in the journal of educational research: 1992–2002. The Journal of Educational Research (Washington, D. C.), 98(1), 14–23. https://doi.org/10.3200/JOER.98.1.14-23

    Article  Google Scholar 

  • Porter, C. E., & Donthu, N. (2006). Using the technology acceptance model to explain how attitudes determine internet usage: The role of perceived access barriers and demographics. Journal of Business Research, 59(9), 999–1007. https://doi.org/10.1016/j.jbusres.2006.06.003

    Article  Google Scholar 

  • Rafnsson, S. B., Shankar, A., & Steptoe, A. (2014). Longitudinal influences of social network characteristics on subjective well-being of older adults. Journal of Aging and Health, 27(5), 919–934.

    Article  Google Scholar 

  • Räsänen, P. (2008). The aftermath of the ICT revolution? Media and communication technology preferences in Finland in 1999 and 2004. New Media & Society, 10, 225–246.

    Article  Google Scholar 

  • Ren, P. (2022). Life quality in care homes: Chinese and Danish older adults’ perspectives. Curr Psychol. https://doi.org/10.1007/s12144-022-02921-6

    Article  PubMed  PubMed Central  Google Scholar 

  • Ren, P., Emiliussen, J., Christiansen, R., et al. (2022). Filial Piety, Generativity and Older Adults’ Wellbeing and Loneliness in Denmark and China. Applied Research Quality Life, 17, 3069–3090. https://doi.org/10.1007/s11482-022-10053-z

    Article  Google Scholar 

  • Ryan, R. M., & Deci, E. L. (2001). On Happiness and Human Potentials: A Review of Research on Hedonic and Eudaimonic Well-Being. Annual Review of Psychology, 52(1), 141–166.

    Article  CAS  PubMed  Google Scholar 

  • Ryff, C. D., & Keyes, C. L. M. (1995). The structure of psychological well-being revisited. Journal of Personality and Social Psychology, 69(4), 719–727. https://doi.org/10.1037//0022-3514.69.4.719

    Article  CAS  PubMed  Google Scholar 

  • Ryff, C. D., & Singer, B. H. (2006;2008;). Know thyself and become what you are: A eudaimonic approach to psychological well-being. Journal of Happiness Studies, 9(1), 13–39. https://doi.org/10.1007/s10902-006-9019-0

  • Schwarz, B., Albert, I., Trommsdorff, G., Zheng, G., Shi, S., & Nelwan, P. R. (2010). Intergenerational support and life satisfaction: A comparison of chinese, indonesian, and german elderly mothers. Journal of Cross-Cultural Psychology, 41(5–6), 706–722. https://doi.org/10.1177/0022022110372197

    Article  Google Scholar 

  • Schreiber, J. B., Nora, A., Stage, F. K., Barlow, E. A., & King, J. (2006). Reporting structural equation modeling and confirmatory factor analysis results: A review. The Journal of Educational Research (Washington, D. C.), 99(6), 323–338. https://doi.org/10.3200/JOER.99.6.323-338

    Article  Google Scholar 

  • Schreiber, J. B., Nora, A., Stage, F. K., Barlow, E. A., & King, J. (2006). Reporting structural equation modeling and confirmatory factor analysis results: A review. The Journal of Educational Research, 99(6), 323–327. 330-337, 384 Retrieved from https://proxy3-bib.sdu.dk/login?urlhttps://www.proquest.com/scholarly-journals/reporting-structural-equation-modeling/docview/204202199/se-2?accountid=14211.

    Article  Google Scholar 

  • Schepers, J., & Wetzels, M. (2007). A meta-analysis of the technology acceptance model: Investigating subjective norm and moderation effects. Information & Management, 41(1), 90e103. https://doi.org/10.1016/j.im.2006.10.007

    Article  Google Scholar 

  • Serrano-Cinca, C., Muñoz-Soro, J. F., & Brusca, I. (2018). A multivariate study of internet use and the digital divide. Social Science Quarterly, 99(4), 1409–1425. https://doi.org/10.1111/ssqu.12504

    Article  Google Scholar 

  • Shih, H. P. (2004). Extended technology acceptance model of Internet utilization behavior. Information & Management, 41(6), 719–729.

    Article  Google Scholar 

  • Sipior, J. C., Ward, B. T., & Connolly, R. (2011;2010;). The digital divide and t-government in the United States: Using the technology acceptance model to understand usage. European Journal of Information Systems, 20(3), 308–328. https://doi.org/10.1057/ejis.2010.64

  • Surendran, P. (2012). Technology acceptance model: A survey of literature. International Journal of Business and Social Research, 2(4), 175–178.

    Google Scholar 

  • Statistics Finland (2010) Internetin ka ̈ yto ̈ n muutokset: Tieto-ja viestinta ̈ tekniikan ka ̈ ytto ̈ 2009—tutkimuksen tuloksia. Tila-stokeskus, Helsinki.

  • Statista. (2022). Number of smartphone subscriptions worldwide from 2016 to 2027. Author. Retrieved from https://www.statista.com/statistics/330695/number-of-smartphone-users-worldwide/.

  • Teo, T., & Lee, C. B. (2010). Explaining the intention to use technology among student teachers: An application of the theory of planned behavior (TPB). Campus-Wide Information Systems, 27(2), 60–67. https://doi.org/10.1108/10650741011033035

    Article  Google Scholar 

  • Tian, Q. (2016). Intergenerational social support affects the subjective well-being of the elderly: Mediator roles of self-esteem and loneliness. Journal of Health Psychology, 21(6), 1137–1144.

    Article  PubMed  Google Scholar 

  • Trommsdorff, G. (2006). Parent–child relations over the life-span. A cross-cultural perspective. In K. H. Rubin & O. B. Chung (Eds.), Parenting beliefs, behaviors, and parent–child relations. A cross-cultural perspective (pp. 143–183). New York: Psychology Press.

    Google Scholar 

  • Uchida, Y., & Ogihara, Y. (2012). Personal or interpersonal construal of happiness: A cultural psychological perspective. International Journal of Wellbeing, 2(4), 354–369. https://doi.org/10.5502/ijw.v2.i4.5

    Article  Google Scholar 

  • Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186–204. https://doi.org/10.1287/mnsc.46.2.186.11926

    Article  Google Scholar 

  • Venkatesh, V. (2000). Determinants of perceived ease of use: Integrating control, intrinsic motivation, and emotion into the technology acceptance model. Information Systems Research, 11(4), 342–365. https://doi.org/10.1287/isre.11.4.342.11872

    Article  Google Scholar 

  • Venkatesh, V., & Brown, S. A. (2001). A longitudinal investigation of personal computers in homes: Adoption determinants and emerging challenges. MIS Quarterly, 25(1), 71–102. https://doi.org/10.2307/3250959

    Article  Google Scholar 

  • Wallace, B. A., & Shapiro, S. L. (2006). Mental balance and well-being: Building bridges between Bud-dhism and Western psychology. American Psychologist, 61(7), 690.

    Article  PubMed  Google Scholar 

  • Wang, J., Chen, T., & Han, B. (2014;2013;). Does co-residence with adult children associate with better psychological well-being among the oldest old in china? Aging & Mental Health, 18(2), 232–239. https://doi.org/10.1080/13607863.2013.837143

  • Wang, X. (2016). Subjective well-being associated with size of social network and social support of elderly. Journal of Health Psychology, 21(6), 1037–1042.

    Article  PubMed  Google Scholar 

  • Waterman, A. S., Schwartz, S. J., Goldbacher, E., Green, H., Miller, C., & Philip, S. (2003). Predicting the subjective experience of intrinsic motivation: The roles of self- determination, the balance of challenges and skills, and self-realization values. Personality and Social Psychology Bulletin, 29, 1447–1458.

    Article  PubMed  Google Scholar 

  • Waterman, A. S., Schwartz, S. J., & Conti, R. (2008). The implications of two conceptions of happiness (hedonic enjoyment and eudaimonia) for the understanding of intrinsic motivation. Journal of Happiness Studies, 9, 41–79.

    Article  Google Scholar 

  • Waterman, A. S. (2008). Reconsidering happiness: A eudaimonist’s perspective. Journal of Positive Psychology, 3, 234–252.

    Article  Google Scholar 

  • Waterman, A. S., Schwartz, S. J., Zamboanga, B. L., Ravert, R. D., Williams, M. K., Bede Agocha, V., Yeong Kim, S., & Brent Donnellan, M. (2010). The questionnaire for eudaimonic well-being: Psychometric properties, demographic comparisons, and evidence of validity. The Journal of Positive Psychology, 5(1), 41–61. https://doi.org/10.1080/17439760903435208

    Article  PubMed  PubMed Central  Google Scholar 

  • Weicht, B. (2013). The making of “the elderly”: Constructing the subject of care. Journal of Aging Studies, 27(2), 188–197.

    Article  PubMed  Google Scholar 

  • Wilson, C. (2018). Is it love or loneliness? exploring the impact of everyday digital technology use on the wellbeing of older adults. Ageing and Society, 38(7), 1307–1331. https://doi.org/10.1017/S0144686X16001537

    Article  Google Scholar 

  • Wu, F. (2022). Intergenerational Support and Life Satisfaction of Older Parents in China: A Rural-Urban Divide. Social Indicators Research, 160, 1071–1098. https://doi.org/10.1007/s11205-021-02672-0

    Article  Google Scholar 

  • Ye, D., Ng, Y. K., & Lian, Y. (2015). Culture and happiness. Social Indicators Research, 123(2), 519–547.

    Article  PubMed  Google Scholar 

  • Zemaitaityte, I., & Katkoniene, A. (2019). Competences of older people to use smartphones as a factor of wellbeing in contemporary society. SHS Web of Conferences, 6810.1051/shsconf/20196803005

  • Zhang, W., & Chen, M. (2013;2014;). Psychological distress of older chinese: Exploring the roles of activities, social support, and subjective social status. Journal of Cross-Cultural Gerontology, 29(1), 37–51. https://doi.org/10.1007/s10823-013-9219-0

  • Zhou, Y., Zhou, L., Fu, C., Wang, Y., Liu, Q., Wu, H., ... & Zheng, L. (2015). Socio-economic factors related with the subjective well-being of the rural elderly people living independently in China. International journal for equity in health, 14(1), 1–9.

  • Zhou, Y. (2015). When an aging society encounters new media challenges – academic reflections on digital generation gap and feedback. Journal of journalism and writing, 16(012), 53–56. (周裕琼. 当老龄化社会遭遇新媒体挑战 数字代沟与反哺之学术思考[J]. 新闻与写作, 2015, 16(012):53-56.).

    ADS  Google Scholar 

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Authors and Affiliations

  1. School of Government, Shanghai University of Political Science and Law, Waiqingsong Road No. 7989, Shanghai, 201701, China

    Puxiang Ren

  2. Department for the Study of Culture, University of Southern Denmark, Campusvej 55, DK 5230, Odense M, Denmark

    Puxiang Ren & Søren Harnow Klausen

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  1. Puxiang Ren
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Correspondence to Puxiang Ren.

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The regional Research Ethics Commitee for Southern Denmark decided on February 22, 2018, that the project – elderly wellbeing and alcohol, as based on interviews and observations, did not require the committee's approval.

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Ren, P., Klausen, S.H. Smartphone use, intergenerational support and older adults’ wellbeing. Curr Psychol 43, 407–424 (2024). https://doi.org/10.1007/s12144-023-04309-6

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