Predictors, Types of Internet Use, and the Psychological Well-Being of Older Adults: A Comprehensive Model

Javiera Rosell1,2, Álvaro Vergés1, Claudia Miranda‐Castillo3,2, Sofía Sepúlveda-Caro1, Macarena Gómez1
1Escuela de Psicología, Facultad de Ciencias Sociales, Pontificia Universidad Católica de Chile, Santiago, Chile
2Instituto Milenio para la Investigación del Cuidado (MICARE), Santiago, Chile
3Facultad de Enfermería, Universidad Andres Bello , Santiago , Chile

Tóm tắt

AbstractObjectivesThis study aims to evaluate a comprehensive model that includes predictors of use, types of Internet use, and psychological well-being outcomes in the older population.MethodsThe total sample comprised 650 older Internet users. Structural equation modeling was used to estimate the effect of predictors (i.e., effort expectancy, performance expectancy, social influence, and ageism) on types of Internet use (i.e., information seeking, communication, instrumental use, and leisure) and the impact of the type of use on the psychological well-being of older adults (i.e., depressive and anxious symptomatology). In addition, the indirect effect of different types of Internet use was evaluated, that is, they were considered as mediator variables.ResultsEffort expectancy, social influence, and ageism predicted different types of Internet use. The relationship between effort expectancy and anxious symptomatology had an indirect effect via information seeking, whereas the relationship between ageism and anxious symptomatology showed an indirect effect via leisure.DiscussionThe findings support the importance of differentiating the types of Internet use to understand its impact on psychological well-being. Information seeking is associated with anxious symptomatology and is predicted by effort expectancy. On the contrary, leisure is crucial because of its relationship with anxious symptomatology, and less ageism can promote it. This information is useful for developing effective interventions that promote the well-being of older adults through the Internet, including strategies to cope with some online challenges that could lead to negative consequences, such as information overload.

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Tài liệu tham khảo

Anderson, 1988, Structural equation modeling in practice: A review and recommended two-step approach, Psychological Bulletin, 103, 411, 10.1037/0033-2909.103.3.411

Barbosa Neves, 2018, Social capital and Internet use in an age-comparative perspective with a focus on later life, PLoS One, 13, e0192119, 10.1371/journal.pone.0192119

Barrantes Cáceres, 2017, Age for learning, age for teaching: The role of inter-generational, intra-household learning in Internet use by older adults in Latin America, Information, Communication & Society, 22, 250, 10.1080/1369118X.2017.1371785

Berg, 2017, ‘Although we’re isolated, we’re not really isolated’: The value of information and communication technology for older people in rural Australia, Australasian Journal on Ageing, 36, 313, 10.1111/ajag.12449

Blanca Mena, 2005, Cuestionario de evaluación de estereotipos negativos hacia la vejez, Revista Multidisciplinar de Gerontologia, 15, 212

Brink, 2008, Screening tests for geriatric depression, Clinical Gerontologist, 1, 37, 10.1300/J018v01n01_06

Burnell, 2021, Associations between self-reports and device-reports of social networking site use: An application of the truth and bias model, Communication Methods and Measures, 15, 156, 10.1080/19312458.2021.1918654

Butler, 1969, Age-ism: Another form of bigotry, The Gerontologist, 9, 243, 10.1093/geront/9.4_Part_1.243

Chang, 2020, Global reach of ageism on older persons’ health: A systematic review, PLoS One, 15, e0220857, 10.1371/journal.pone.0220857

Chang, 2015, Correlates of, and barriers to, Internet use among older adults, Journal of Gerontological Social Work, 58, 66, 10.1080/01634372.2014.913754

Chang, 2015, Age differences in online social networking: Extending socioemotional selectivity theory to social network sites, The Journal of Broadcasting & Electronic Media, 59, 221, 10.1080/08838151.2015.1029126

Chen, 2016, The effect of information communication technology interventions on reducing social isolation in the elderly: A systematic review, Journal of Medical Internet Research, 18, e18, 10.2196/jmir.4596

Chu, 2010, How family support and Internet self-efficacy influence the effects of e-learning among higher aged adults—Analyses of gender and age differences, Computers & Education, 55, 255, 10.1016/j.compedu.2010.01.011

Cuddy, 2002, Doddering but dear: Process, content, and function in stereotyping of older persons., Ageism: Stereotyping and prejudice against older persons, 3, 10.7551/mitpress/1157.003.0004

Cutler, 2005, Ageism and technology, Generations, 29, 67

Elliot, 2014, Predictors of older adults’ technology use and its relationship to depressive symptoms and well-being, The Journals of Gerontology, Series B: Psychological Sciences and Social Sciences, 69, 667, 10.1093/geronb/gbt109

Fernández-Ballesteros, 1992, Mitos y realidades sobre la vejez y la salud

Forsman, 2017, Psychosocial links between Internet use and mental health in later life: A systematic review of quantitative and qualitative evidence, Journal of Applied Gerontology, 36, 1471, 10.1177/0733464815595509

Gell, 2015, Patterns of technology use among older adults with and without disabilities, The Gerontologist, 55, 412, 10.1093/geront/gnt166

Han, 2018, Chronic illnesses and depressive symptoms among older people: Functional limitations as a mediator and self-perceptions of aging as a moderator, Journal of Aging and Health, 30, 1188, 10.1177/0898264317711609

Heart, 2013, Older adults: Are they ready to adopt health-related ICT?, International Journal of Medical Informatics, 82, e209, 10.1016/j.ijmedinf.2011.03.002

Heo, 2015, May). Internet use and well-being in older adults, Cyberpsychology, Behavior, and Social Networking, 18, 268, 10.1089/cyber.2014.0549

Hoyl, 2000, Depresión en el adulto mayor: Evaluación preliminar de la efectividad, como instrumento de tamizaje, de la versión de 5 ítems de la Escala de Depresión Geriátrica, Revista Médica de Chile, 128, 1199, 10.4067/S0034-98872000001100003

Hu, 1999, Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives, Structural Equation Modeling: A Multidisciplinary Journal, 6, 1, 10.1080/10705519909540118

Ihm, 2015, The implications of information and communication technology use for the social well-being of older adults, Information, Communication & Society, 18, 1123, 10.1080/1369118X.2015.1019912

van Ingen, 2017, Does social network site use buffer against well-being loss when older adults face reduced functional ability?, Computers in Human Behavior, 70, 168, 10.1016/j.chb.2016.12.058

Ivan, 2019, Using netnography to research older adults’ online communities., Ageing and digital technology: Designing and evaluating emerging technologies for older adults, 133, 10.1007/978-981-13-3693-5_9

Jun, 2017, What accounts for the relationship between Internet use and suicidal ideation of Korean older adults? A mediation analysis, The Journals of Gerontology, Series B: Psychological Sciences and Social Sciences, 72, 846

Khechine, 2016, A meta-analysis of the UTAUT model: Eleven years later, Canadian Journal of Administrative Sciences/Revue Canadienne des Sciences de l’Administration, 33, 138, 10.1002/cjas.1381

Klimova, 2016, Older people and their attitude to the use of information and communication technologies—A review study with special focus on the Czech Republic (older people and their attitude to ICT), Educational Gerontology, 42, 361

Kottl, 2020, Self-perceptions of aging and everyday ICT engagement: A test of reciprocal associations, The Journals of Gerontology, Series B: Psychological Sciences and Social Sciences

Lam, 2020, Exploring the relationship between Internet use and mental health among older adults in England: Longitudinal observational study, Journal of Medical Internet Research, 22, e15683, 10.2196/15683

Levy, 2009, Stereotype embodiment: A psychosocial approach to aging, Current Directions in Psychological Science, 18, 332, 10.1111/j.1467-8721.2009.01662.x

Lifshitz, 2018, Internet use and well-being in later life: A functional approach, Aging and Mental Health, 22, 85, 10.1080/13607863.2016.1232370

Macedo, 2017, Predicting the acceptance and use of information and communication technology by older adults: An empirical examination of the revised UTAUT2, Computers in Human Behavior, 75, 935, 10.1016/j.chb.2017.06.013

Mariano, 2020, Too old for computers? The longitudinal relationship between stereotype threat and computer use by older adults, Frontiers in Psychology, 11, 568972, 10.3389/fpsyg.2020.568972

Miranda-Castillo, 2019, Validation of the Geriatric Anxiety Inventory in Chilean older people, Archives of Gerontology and Geriatrics, 83, 81, 10.1016/j.archger.2019.03.019

Muthén, 2017, Mplus user’s guide

Nimrod, 2020, Changes in Internet use when coping with stress: Older adults during the COVID-19 pandemic, The American Journal of Geriatric Psychiatry, 28, 1020, 10.1016/j.jagp.2020.07.010

Nimrod, 2020, Technostress in a hostile world: Older Internet users before and during the COVID-19 pandemic, Aging and Mental Health, 26, 1

O’Keeffe, 2011, Orientation to time as a guide to the presence and severity of cognitive impairment in older hospital patients, Journal of Neurology Neurosurgery and Psychiatry, 82, 500, 10.1136/jnnp.2010.214817

Pachana, 2007, Development and validation of the Geriatric Anxiety Inventory, International Psychogeriatrics, 19, 103, 10.1017/S1041610206003504

Ramírez-Correa, 2017, Efecto de los rasgos de personalidad en el uso de las tecnologías de información, Multidisciplinary Business Review, 10, 19

Robertson, 2017, Ageing and ageism: The impact of stereotypical attitudes on personal health and well-being outcomes and possible personal compensation strategies, Self & Society, 45, 149, 10.1080/03060497.2017.1334986

Robertson, 2016, “I’m too old for that”—The association between negative perceptions of aging and disengagement in later life, Personality and Individual Differences, 100, 114, 10.1016/j.paid.2016.03.096

Rojas, 2016

Rosell, 2021, The impact of ageism on the E-leisure of older people in Chile., Human aspects of IT for the aged population. Technology design and acceptance. HCII 2021. Lecture notes in computer science, 228

Rosell, 2020, Adaptation and psychometric characteristics of a scale to evaluate ageist stereotypes, Archives of Gerontology and Geriatrics, 90, 104179, 10.1016/j.archger.2020.104179

Sims, 2017, Information and communication technology use is related to higher well-being among the oldest-old, The Journals of Gerontology, Series B: Psychological Sciences and Social Sciences, 72, 761

Subsecretaría de Telecomunicaciones de Chile, 2017

Swar, 2017, Information overload, psychological ill-being, and behavioral intention to continue online healthcare information search, Computers in Human Behavior, 70, 416, 10.1016/j.chb.2016.12.068

Szabo, 2019, Longitudinal analysis of the relationship between purposes of Internet use and well-being among older adults, The Gerontologist, 59, 58, 10.1093/geront/gny036

Venkatesh, 2003, User acceptance of information technology: Toward a unified view, MIS Quarterly, 27, 425, 10.2307/30036540

Vroman, 2015, “Who over 65 is online?” Older adults’ dispositions toward information communication technology, Computers in Human Behavior, 43, 156, 10.1016/j.chb.2014.10.018

Wagner, 2010, Computer use by older adults: A multi-disciplinary review, Computers in Human Behavior, 26, 870, 10.1016/j.chb.2010.03.029

Wang, 2019, Does Internet use affect levels of depression among older adults in China? A propensity score matching approach, BMC Public Health, 19, 1474, 10.1186/s12889-019-7832-8

Wong, 2021, Consuming information related to COVID-19 on social media among older adults and its association with anxiety, social trust in information, and COVID-safe behaviors: Cross-sectional telephone survey, Journal of Medical Internet Research, 23, e26570, 10.2196/26570

Zhou, 2020, Exploring the systematic attributes influencing gerontechnology adoption for elderly users using a meta-analysis, Sustainability, 12, 2864, 10.3390/su12072864