Hostname: page-component-8448b6f56d-gtxcr Total loading time: 0 Render date: 2024-04-23T09:19:19.983Z Has data issue: false hasContentIssue false

The role of social communication technologies in cognition and affect in older adults

Published online by Cambridge University Press:  14 April 2021

Jessica Resor*
Affiliation:
Department of Human Development and Family Science, Virginia Tech, Blacksburg, Virginia, USA
Steph Cooke
Affiliation:
Department of Human Development and Family Science, Virginia Tech, Blacksburg, Virginia, USA
Benjamin Katz
Affiliation:
Department of Human Development and Family Science, Virginia Tech, Blacksburg, Virginia, USA
*
*Corresponding author. Email: jmresor@vt.edu

Abstract

Affect and cognition have both been associated with communication across one's social network during ageing. Thus, it is important to consider how communication varies by different aspects of one's social network, and by communication mode, including phone, email and social media. This study aimed to investigate the relationship between technology-mediated communication, depression and an executive function-related fluid-reasoning measure among older adults. Data were drawn from the Health and Retirement dataset's 2016 wave. Hierarchical regression analyses were conducted to examine the link between communication modes (phone, email and social media) with children, family and friends with a fluid-reasoning cognition measure and Center for Epidemiologic Studies Depression Scale, controlling for demographic covariates, among 3,798 older American adults. Phone and email communication, but not social media, were significantly related to depression and cognition. The model fit was considerably stronger for the analyses with cognition than depression. Curvilinear associations were found for communication via phone and email with cognition, suggesting moderate amounts of communication by phone and email across social groups were most closely linked with higher scores on fluid reasoning. For depression, curvilinear relationships were found for talking on the phone with family and friends, and emailing for children and family, indicating that moderate communication levels revealed the lowest depression levels. Implications for how older adults’ social support may contribute to depression and cognition status are discussed.

Type
Article
Copyright
Copyright © The Author(s), 2021. Published by Cambridge University Press

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Aalbers, G, McNally, RJ, Heeren, A, De Wit, S and Fried, EI (2019) Social media and depression symptoms: a network perspective. Journal of Experimental Psychology: General 148, 19. https://aisel.aisnet.org/amcis2012/proceedings/AdoptionDiffusionIT/24.Google ScholarPubMed
Abdelfattah, B (2012) Individual-multinational study of Internet use: the digital divide explained by displacement hypothesis and knowledge-gap hypothesis. In AMCIS 2012 Proceedings 24, pp. 19.Google Scholar
Adamic, AL and Adar, E (2003) Friends and neighbors on the web. Social Networks 25, 211230.CrossRefGoogle Scholar
Adams, RG and Blieszner, R (1995) Aging well with friends and family. American Behavioral Scientist 39, 209224.CrossRefGoogle Scholar
Amieva, H, Stoykova, R, Matharan, F, Helmer, C, Antonucci, TC and Dartigues, JF (2010) What aspects of social network are protective for dementia? Not the quantity but the quality of social interactions is protective up to 15 years later. Psychosomatic Medicine 72, 905911.CrossRefGoogle ScholarPubMed
Antonucci, TC, Akiyama, H and Lansford, JE (1998) Negative effects of close social relations. Family Relations 47, 379384.CrossRefGoogle Scholar
Antonucci, TC, Birditt, KS, Sherman, CW and Trinh, S (2011) Stability and change in the intergenerational family: a convoy approach. Ageing & Society 31, 10841106.Google Scholar
Antonucci, TC, Ajrouch, KJ and Birditt, KS (2014) The convoy model: explaining social relations from a multidisciplinary perspective. The Gerontologist 54, 8292.CrossRefGoogle ScholarPubMed
Astell, A (2013) Technology and fun for a happy old age. In Sixsmith, A and Gutman, G (eds), Technologies for Active Aging. Boston, MA: Springer, pp. 169187.CrossRefGoogle Scholar
Barnes, LL, Mendes de Leon, CF, Wilson, RS, Bienias, JL and Evans, DA (2004) Social resources and cognitive decline in a population of older African Americans and whites. Neurology 63, 23222326.CrossRefGoogle Scholar
Baudic, S, Barba, GD, Thibaudet, MC, Smagghe, A, Remy, P and Traykov, L (2006) Executive function deficits in early Alzheimer's disease and their relations with episodic memory. Archives of Clinical Neuropsychology 21, 1521.CrossRefGoogle ScholarPubMed
Baumgartner, SE, Weeda, WD, van der Heijden, LL and Huizinga, M (2014) The relationship between media multitasking and executive function in early adolescents. Journal of Early Adolescence 34, 11201144.CrossRefGoogle Scholar
Bell, C, Fausset, C, Farmer, S, Nguyen, J, Harley, L and Fain, WB (2013) Examining social media use among older adults. In Proceedings of the 24th ACM Conference on Hypertext and Social Media. Paris, France: Association for Computing Machinery, pp. 158163. https://doi.org/10.1145/2481492.2481509.CrossRefGoogle Scholar
Blieszner, R, Willis, SL and Baltes, PB (1981) Training research in aging on the fluid ability of inductive reasoning. Journal of Applied Developmental Psychology 2, 247265.Google Scholar
Bryan, J and Luszcz, MA (2000) Measures of fluency as predictors of incidental memory among older adults. Psychology and Aging 15, 483489.CrossRefGoogle ScholarPubMed
Buckner, RL (2004) Memory and executive function in aging and AD: multiple factors that cause decline and reserve factors that compensate. Neuron 44, 195208.CrossRefGoogle Scholar
Chen, Y and Feeley, TH (2014) Social support, social strain, loneliness, and well-being among older adults: an analysis of the Health and Retirement Study. Journal of Social and Personal Relationships 31, 141161.CrossRefGoogle Scholar
Chesley, N and Johnson, BE (2014) Information and communication technology use and social connectedness over the life course. Sociology Compass 8, 589602.CrossRefGoogle Scholar
Cho, J, Ramgolam, DI, Schaefer, KM and Sandlin, AN (2011) The rate and delay in overload: an investigation of communication overload and channel synchronicity on identification and job satisfaction. Journal of Applied Communication Research 39, 3854.CrossRefGoogle Scholar
Clarke, PJ, Ailshire, JA, House, JS, Morenoff, JD, King, K, Melendez, R and Langa, KM (2012) Cognitive function in the community setting: the neighbourhood as a source of ‘cognitive reserve’? Journal of Epidemiological and Community Health 66, 730736.CrossRefGoogle ScholarPubMed
Cotten, SR, Anderson, WA and McCullough, BM (2013) Impact of internet use on loneliness and contact with others among older adults: cross-sectional analysis. Journal of Medical Internet Research 15. doi: 10.2196/jmir.2306.CrossRefGoogle ScholarPubMed
Cotten, SR, Ford, G, Ford, S and Hale, TM (2014) Internet use and depression among retired older adults in the United States: a longitudinal analysis. Journals of Gerontology: Psychological Sciences and Social Sciences 69B, 763771.CrossRefGoogle Scholar
Craik, FIM and Salthouse, TA (1999) Handbook of Aging and Cognition, 2nd Edn. New York, NY: Taylor & Francis.Google Scholar
Denworth, L (2018) Why you need a social convoy. Psychology Today, June 30. Available at https://www.psychologytoday.com/us/blog/brain-waves/201806/why-you-need-social-convoy.Google Scholar
Fiori, KL, Antonucci, TC and Cortina, KS (2006) Social network typologies and mental health among older adults. Journals of Gerontology: Psychological Sciences and Social Sciences 61B, 2532.CrossRefGoogle Scholar
Fisher, GG, McArdle, JJ, McCammon, RJ, Sonnega, A and Weir, DR (2014) New Measures of Fluid Intelligence in the HRS (Health and Retirement Study Documentation Report DR-027). Available at https://hrs.isr.umich.edu/sites/default/files/biblio/dr-027b.pdf.Google Scholar
Fiske, A, Wetherell, JL and Gatz, M (2009) Depression in older adults. Annual Review of Clinical Psychology 5, 363389.CrossRefGoogle ScholarPubMed
Fuller, HR, Ajrouch, KJ and Antonucci, TC (2020) The convoy model and later-life family relationships. Journal of Family Theory & Review 12, 126146.CrossRefGoogle ScholarPubMed
Gale, CR, Allerhand, M and Deary, IJ (2012) Is there a bidirectional relationship between depressive symptoms and cognitive ability in older people? A prospective study using the English Longitudinal Study of Ageing. Psychological Medicine 42, 20572069.Google Scholar
Gow, AJ, Corley, J, Starr, JM and Deary, IJ (2013) Which social network or support factors are associated with cognitive abilities in old age? Gerontology 59, 454463.CrossRefGoogle ScholarPubMed
Griffiths, KM, Crisp, DA, Barney, L and Reid, R (2011) Seeking help for depression from family and friends: a qualitative analysis of perceived advantages and disadvantages. BMC Psychiatry 11, Article number 196.CrossRefGoogle ScholarPubMed
Hardill, I and Olphert, CW (2012) Staying connected: exploring mobile phone use amongst older adults in the UK. Geoforum 43, 13061312.CrossRefGoogle Scholar
Hawkley, LC, Hughes, ME, Waite, LJ, Masi, CM, Thisted, RA and Cacioppo, JT (2008) From social structural factors to perceptions of relationship quality and loneliness: the Chicago Health, Aging, and Social Relations Study. Journals of Gerontology: Psychological Sciences and Social Sciences 63B, S375S384.CrossRefGoogle Scholar
Hertzog, C, Kramer, AF, Wilson, RS and Lindenberger, U (2009) Enrichment effects on adult cognitive development: can the functional capacity of older adults be preserved and enhanced? Psychological Science in the Public Interest 9, 165.CrossRefGoogle Scholar
Hill, R, Betts, LR and Gardner, SE (2015) Older adults’ experiences and perceptions of digital technology: (dis)empowerment, wellbeing, and inclusion. Computers in Human Behavior 48, 415423.CrossRefGoogle Scholar
Hong, JC, Hwang, MY, Szeto, E, Tsai, CR, Kuo, YC and Hsu, WY (2016) Internet cognitive failure relevant to self-efficacy, learning interest, and satisfaction with social media learning. Computers in Human Behavior 55, 214222.CrossRefGoogle Scholar
Hughes, TF, Andel, R, Small, BJ, Borenstein, AR and Mortimer, JA (2008) The association between social resources and cognitive change in older adults: evidence from the Charlotte County Healthy Aging Study. Journals of Gerontology: Psychological Sciences and Social Sciences 63B, 241244.CrossRefGoogle Scholar
Hung, M, Bounsangaa, J, Voss, MW, Crum, AB, Chen, W and Birmingham, WC (2017) The relationship between family support; pain and depression in elderly with arthritis. Psychology, Health & Medicine 22, 7586.CrossRefGoogle ScholarPubMed
Hunt, MG, Marx, R, Lipson, C and Young, J (2018) No more FOMO: limiting social media decreases loneliness and depression. Journal of Social and Clinical Psychology 37, 751768.CrossRefGoogle Scholar
Jaffe, L (2009) Development, Interpretation, and Application of the W Score and the Relative Proficiency Index (Woodcock Johnson III Assessment Service Bulletin No. 11). Rolling Meadows, IL: Riverside.Google Scholar
Jeong, SH and Hwang, Y (2016) Media multitasking effects on cognitive vs. attitudinal outcomes: a meta-analysis. Human Communication Research 42, 599618.CrossRefGoogle Scholar
Jung, EH, Walden, J, Johnson, AC and Sundar, SS (2017) Social networking in the aging context: why older adults use or avoid Facebook. Telematics and Informatics 34, 10711080.CrossRefGoogle Scholar
Karim, J, Weisz, R, Bibi, Z and ur Rehman, S (2015) Validation of the eight-item Center for Epidemiologic Studies Depression Scale (CES-D) among older adults. Current Psychology 34, 681692.CrossRefGoogle Scholar
Karr-Wisniewski, P and Lu, Y (2010) When more is too much: operationalizing technology overload and exploring its impact on knowledge worker productivity. Computers in Human Behavior 26, 10611072.CrossRefGoogle Scholar
Katz, B, Turney, I, Lee, JH, Amini, R, Ajrouch, K and Antonucci, T (2020) Race/ethnic differences in social resources as cognitive risk and protective factors. Research in Human Development 17, 5777.CrossRefGoogle ScholarPubMed
Khosravi, P, Rezvani, A and Wiewiora, A (2016) The impact of technology on older adults’ social isolation. Computers in Human Behavior 63, 594603.Google Scholar
Kim, HJ and Kim, J (2014) The impact of senior citizens’ use of online social networks on their cognitive function. International Journal of Research Studies in Educational Technology 2, 110.Google Scholar
Lee, AR, Son, SM and Kim, KK (2016) Information and communication technology overload and social networking service fatigue: a stress perspective. Computers in Human Behavior 55, 5161.CrossRefGoogle Scholar
Leist, AK (2013) Social media use of older adults: a mini-review. Gerontology 59, 378384.CrossRefGoogle ScholarPubMed
Lin, L, Jing, X, Lv, S, Liang, J, Tian, L, Li, H, Puts, M and Xu, Y (2020) Mobile device use and the cognitive function and depressive symptoms of older adults living in residential care homes. BMC Geriatrics 20, Article number 41.CrossRefGoogle ScholarPubMed
McDaniel, BT (2015) ‘Technoference’: everyday intrusions and interruptions of technology in couple and family relationships. In Bruess, CJ (ed). Family Communication in the Age of Digital and Social Media. New York, NY: Peter Lang Publishing, pp. 228244.Google Scholar
Monroe, SM, Bromet, EJ, Connell, MM and Steiner, SC (1986) Social support, life events, and depressive symptoms: a 1-year prospective study. Journal of Consulting and Clinical Psychology 54, 424431.CrossRefGoogle ScholarPubMed
Pagel, MD, Erdly, WW and Becker, J (1987) Social networks: we get by with (and in spite of) a little help from our friends. Journal of Personality and Social Psychology 53, 793804.CrossRefGoogle ScholarPubMed
Park, J, Lee, DS, Shablack, H, Verduyn, P, Deldin, P, Ybarra, O, Jonides, J and Kross, E (2016) When perceptions defy reality: the relationships between depression and actual and perceived Facebook social support. Journal of Affective Disorders 200, 3744.Google ScholarPubMed
Przybylski, AK and Weinstein, N (2017) A large-scale test of the goldilocks hypothesis: quantifying the relations between digital-screen use and the mental well-being of adolescents. Psychological Science 28, 204215.CrossRefGoogle Scholar
Robins, L and Regier, D (1991) Psychiatric Disorders in America. New York, NY: Free Press.Google Scholar
Saczynski, JS, Rosen, AB, McCammon, RJ, Zivin, K, Andrade, SE, Langa, KM and Briesacher, BA (2015) Antidepressant use and cognitive decline: the Health and Retirement Study. American Journal of Medicine 128, 739746.CrossRefGoogle ScholarPubMed
Schane, RE, Woodruff, PG, Dinno, A, Covinsky, KE and Walter, LC (2008) Prevalence and risk factors for depressive symptoms in persons with chronic obstructive pulmonary disease. Journal of General Internal Medicine 23, 17571762.CrossRefGoogle ScholarPubMed
Scott, H and Woods, HC (2018) Fear of missing out and sleep: cognitive behavioural factors in adolescents’ nighttime social media use. Journal of Adolescence 68, 6165.CrossRefGoogle ScholarPubMed
Sharifian, N and Zahodne, LB (2020) Social media bytes: daily associations between social media use and everyday memory failures across the adult life span. Journals of Gerontology: Psychological Sciences and Social Sciences 75B, 540548.CrossRefGoogle Scholar
Sharifian, N, Kraal, AZ, Zaheed, AB, Sol, K and Zahodne, LB (2019) The longitudinal association between social network composition and episodic memory in older adulthood: the importance of contact frequency with friends. Aging & Mental Health 24, 17891795.CrossRefGoogle ScholarPubMed
Shouse, JN, Rowe, SV and Mast, BT (2013) Depression and cognitive functioning as predictors of social network size. Clinical Gerontologist 36, 147161.Google Scholar
Siddaway, AP, Wood, AM and Taylor, PJ (2017) The Center for Epidemiologic Studies-Depression scale measures a continuum from well-being to depression: testing two key predictions of positive clinical psychology. Journal of Affective Disorders 213, 180186.CrossRefGoogle Scholar
Siebert, DC, Mutran, EJ and Reitzes, DC (1999) Friendship and social support: the importance of role identity to aging adults. Social Work 44, 522533.CrossRefGoogle ScholarPubMed
Spiro-Levitt, C, Gallop, R and Young, JF (2019) Trajectories of change in maternal and adolescent depressive symptoms in the depression prevention initiative. Journal of Affective Disorders 253, 176183.CrossRefGoogle ScholarPubMed
Stern, Y (2012) Cognitive reserve in aging and Alzheimer's disease. Lancet Neurology 11, 10061012.CrossRefGoogle Scholar
Teo, AR, Markwardt, S and Hinton, L (2019) Using Skype to beat the blues: longitudinal data from a national representative sample. American Journal of Geriatric Psychiatry 27, 254262.CrossRefGoogle ScholarPubMed
Tun, PA, Miller-Martinez, D, Lachman, ME and Seeman, T (2013) Social strain and executive function across the lifespan: the dark (and light) sides of social engagement. Aging, Neuropsychology, and Cognition 20, 320338.CrossRefGoogle ScholarPubMed
Turvey, CL, Wallace, RB and Herzog, R (1999) A revised CES-D measure of depressive symptoms and a DSM-based measure of major depressive episodes in the elderly. International Psychogeriatrics 11, 139148.CrossRefGoogle Scholar
Unsworth, N, Brewer, GA and Spillers, GJ (2009) There's more to the working memory capacity–fluid intelligence relationship than just secondary memory. Psychonomic Bulletin & Review 16, 931937.CrossRefGoogle Scholar
Vahia, IV (2019) Technology, communication, mood, and aging: an emerging picture. American Journal of Geriatric Psychiatry 27, 263265.CrossRefGoogle ScholarPubMed
Vance, DE, Roberson, AJ, McGuinness, TM and Fazeli, PL (2010) How neuroplasticity and cognitive reserve protect cognitive functioning. Journal of Psychosocial Nursing and Mental Health Services 48, 2330.CrossRefGoogle ScholarPubMed
van Hooren, SAH, Valentijn, AM, Bosma, H, Ponds, RWHM, van Boxtel, MPJ and Jolles, J (2007) Cognitive functioning in older adults aged 64–81: a cohort study into the effects of sex, age, and education. Aging, Neuropsychology, and Cognition 14, 4054.CrossRefGoogle Scholar
Ybarra, O, Winkielman, P, Yeh, I, Burnstein, E and Kavanagh, L (2011) Friends (and sometimes enemies) with cognitive benefits: what types of social interactions boost executive functioning? Social Psychological and Personality Science 2, 253261.CrossRefGoogle Scholar
Zivin, K, Pirraglia, PA, McCammon, RJ, Langa, KM and Vijan, S (2013) Trends in depressive symptom burden among older adults in the United States from 1998 to 2008. Journal of General Internal Medicine 28, 16111619.CrossRefGoogle ScholarPubMed