Web-enabled Conversational Interactions as a Means to Improve Cognitive Functions: Results of a 6-Week Randomized Controlled Trial

Hiroko H Dodge, Jian Zhu, Nora Mattek, Molly Bowman, Oscar Ybarra, Katherine Wild, David A Loewenstein, Jeffrey A Kaye, Hiroko H Dodge, Jian Zhu, Nora Mattek, Molly Bowman, Oscar Ybarra, Katherine Wild, David A Loewenstein, Jeffrey A Kaye

Abstract

Introduction: Increasing social interaction could be a promising intervention for improving cognitive function. We examined the feasibility of a randomized controlled trial to assess whether conversation-based cognitive stimulation, through personal computers, webcams, and a user-friendly interactive Internet interface had high adherence and a positive effect on cognitive functions among older adults without dementia.

Methods: Daily 30 minute face-to-face communications were conducted over a 6-week trial period in the intervention group. The control group had only a weekly telephone interview. Cognitive status of normal and MCI subjects was operationally defined as Global Clinical Dementia Rating (CDR) = 0 and 0.5, respectively. Age, sex, education, Mini-Mental State Exam and CDR score were balancing factors in randomization. Subjects were recruited using mass-mailing invitations. Pre-post differences in cognitive test scores and loneliness scores were compared between control and intervention groups using linear regression models.

Results: Eighty-three subjects participated (intervention: n=41, control: n=42). Their mean (std) age was 80.5 (6.8) years. Adherence to the protocol was high; there was no dropout and mean % of days completed out of the targeted trial days among the intervention group was 89% (range: 77%-100%). Among the cognitively intact participants, the intervention group improved more than the control group on a semantic fluency test (p=0.003) at the post-trial assessment and a phonemic fluency test (p=0.004) at the 18th week assessments. Among those with MCI, a trend (p=0.04) of improved psychomotor speed was observed in the intervention group.

Discussion: Daily conversations via user-friendly Internet communication programs demonstrated high adherence. Among cognitively intact, the intervention group showed greater improvement in tests of language-based executive functions. Increasing daily social contacts through communication technologies could offer cost-effective home-based preventions. Further studies with a longer duration of follow-up are required to examine whether the intervention slows cognitive declines and delays the onset of dementia.

Keywords: Communication Technology; Conversational Interaction; Internet; Mild Cognitive Impairment (MCI); Oregon Center for Aging and Technology (ORCATECH); Randomized controlled clinical trial (RCT); Social Engagement; prevention study.

Figures

Fig. 1
Fig. 1
Study flow chart. CDR, clinical dementia rating.
Fig. 2
Fig. 2
Letter fluency test results at baseline, post-trial, and final assessments among clinical dementia rating (CDR) 0 group. Among the CDR 0 group, the intervention group kept improving the test score after the trial, but the control group experienced a decline at the final assessment, leading to a significant difference between the two groups in the gain in scores from baseline to the final assessment (P = .004).

References

    1. Rowe J.W., Kahn R.L. Pantheon Books; New York: 1998. Successful Aging.
    1. Fratiglioni L., Paillard-Borg S., Winblad B. An active and socially integrated lifestyle in late life might protect against dementia. Lancet Neurol. 2004;3:343–353.
    1. Amieva H., Stoykova R., Matharan F., Helmer C., Antonucci T.C., Dartigues J.F. 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. Psychosom Med. 2010;72:905–911.
    1. Barnes L.L., Mendes de Leon C.F., Wilson R.S., Bienias J.L., Evans D.A. Social resources and cognitive decline in a population of older African Americans and whites. Neurology. 2004;63:2322–2326.
    1. Beland F., Zunzunegui M.V., Alvarado B., Otero A., Del Ser T. Trajectories of cognitive decline and social relations. J Gerontol B Psychol Sci Soc Sci. 2005;60:P320–P330.
    1. Bennett D.A., Schneider J.A., Tang Y., Arnold S.E., Wilson R.S. The effect of social networks on the relation between Alzheimer's disease pathology and level of cognitive function in old people: a longitudinal cohort study. Lancet Neurol. 2006;5:406–412.
    1. Fratiglioni L., Wang H.X., Ericsson K., Maytan M., Winblad B. Influence of social network on occurrence of dementia: A community-based longitudinal study. Lancet. 2000;355:1315–1319.
    1. Holtzman R.E., Rebok G.W., Saczynski J.S., Kouzis A.C., Wilcox Doyle K., Eaton W.W. Social network characteristics and cognition in middle-aged and older adults. J Gerontol B Psychol Sci Soc Sci. 2004;59:P278–P284.
    1. Zunzunegui M.V., Alvarado B.E., Del Ser T., Otero A. Social networks, social integration, and social engagement determine cognitive decline in community-dwelling Spanish older adults. J Gerontol B Psychol Sci Soc Sci. 2003;58:S93–S100.
    1. Scarmeas N., Stern Y. Cognitive reserve: Implications for diagnosis and prevention of Alzheimer's disease. Curr Neurol Neurosci Rep. 2004;4:374–380.
    1. Saczynski J.S., Pfeifer L.A., Masaki K., Korf E.S., Laurin D., White L. The effect of social engagement on incident dementia: The Honolulu-Asia Aging Study. Am J Epidemiol. 2006;163:433–440.
    1. Hughes T.F., Flatt J.D., Fu B., Chang C.C., Ganguli M. Engagement in social activities and progression from mild to severe cognitive impairment: The MYHAT study. Int Psychogeriatr. 2013;25:587–595.
    1. Kemper S., Marquis J., Thompson M. Longitudinal change in language production: Effects of aging and dementia on grammatical complexity and propositional content. Psychol Aging. 2001;16:600–614.
    1. Kemper S. The role of working memory in language development over the life span. In: de Bot K., Makoni S., Schrauf R., editors. Language Development over the Life Span. Erlbaum; Mahwah, NJ: 2009. pp. 217–287.
    1. Riley K.P., Snowdon D.A., Desrosiers M.F., Markesbery W.R. Early life linguistic ability, late life cognitive function, and neuropathology: findings from the Nun Study. Neurobiol Aging. 2005;26:341–347.
    1. Ybarra O., Burnstein E., Winkielman P., Keller M.C., Manis M., Chan E. Mental exercising through simple socializing: Social interaction promotes general cognitive functioning. Pers Soc Psychol Bull. 2008;34:248–259.
    1. Ybarra O., Winkielman P. On-line social interactions and executive functions. Front Hum Neurosci. 2012;6:75.
    1. Hughes M.E., Waite L.J., Hawkley L.C., Cacioppo J.T. A short scale for measuring loneliness in large surveys: Results from two population-based studies. Res Aging. 2004;26:655–672.
    1. Fillenbaum G.G., Smyer M.A. The development, validity, and reliability of the OARS multidimensional functional assessment questionnaire. J Gerontol. 1981;36:428–434.
    1. Dodge H.H., Katsumata Y., Zhu J., Mattek N., Bowman B.A., Gregor B.A. Characteristics associated with willingness to participate in a randomized controlled behavioral clinical trial using home-based personal computers and a webcam. Trials. 2014;15:508.
    1. Costa P.T., Robert R.M. The five-factor model of personality and its relevance to personality disorders. J Personal Disord. 1992;6:343–359.
    1. Sheikh J.I., Yesavage J.A. Geriatric depression scale (GDS): Recent evidence and development of a shorter version. In: Brink T., editor. Clinical Gerontology: A Guide to Assessment and Intervention. Haworth Press, Inc.; New York: 1986. pp. 165–173.
    1. Morris J.C., Ernesto C., Schafer K., Coats M., Leon S., Sano M. Clinical dementia rating training and reliability in multicenter studies: The Alzheimer's Disease Cooperative Study experience. Neurology. 1997;48:1508–1510.
    1. Folstein M.F., Folstein S.E., McHugh P.R. “Mini-mental state”: A practical method for grading the cognitive state of patients for the clinician. J Psychiatr Res. 1975;12:189–198.
    1. Lezak M.D., Howieson D.B., Bigler E.D., Tranel D. Oxford University Press; New York: 2012. Neuropsychological Assessment.
    1. Morris J.C., Heyman A., Mohs R.C., Hughes J.P., van Belle G., Fillenbaum G. The Consortium to Establish a Registry for Alzheimer's Disease (CERAD). Part I. Clinical and neuropsychological assessment of Alzheimer's disease. Neurology. 1989;39:1159–1165.
    1. Reitan R.M. Validity of the trail-making tests as an indication of organic brain damage. Percept Mot Skills. 1958;8:271–276.
    1. Jastak S., Wilkinson G. Jastak Associates, Inc; Wilmington, DE: 1984. The Wide Range Achievement Test-Revised.
    1. Saxton J., Morrow L., Eschman A., Archer G., Luther J., Zuccolotto A. Computer assessment of mild cognitive impairment. Postgrad Med. 2009;121:177–185.
    1. Darby D., Brodtmann A., Woodward M., Budge M., Maruff P. Using cognitive decline in novel trial designs for primary prevention and early disease-modifying therapy trials of Alzheimer's disease. Int Psychogeriatr. 2011;23:1376–1385.
    1. Morris J.C. The clinical dementia rating (CDR): Current version and scoring rules. Neurology. 1993;43:2412–2414.
    1. Schouten H.J. Adaptive biased urn randomization in small strata when blinding is impossible. Biometrics. 1995;51:1529–1535.
    1. Mehl M.R., Vazire S., Ramirez-Esparza N., Slatcher R.B., Pennebaker J.W. Are women really more talkative than men? Science. 2007;317:82.
    1. Stark A, Shafran I, Jeffrey K. Hello, who is calling? Can words reveal the social nature of conversations? Presented at the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL HLT '12), 2012; Stroudsburg, PA, USA: 112–119.
    1. Thelwall M., Buckley K., Paltoglou G., Cai D., Kappas A. Sentiment strength detection in short informal text. J Am Soc Inf Sci Technol. 2010;61:2544–2558.
    1. Ahmed S., Haigh A.M., de Jager C.A., Garrard P. Connected speech as a marker of disease progression in autopsy-proven Alzheimer's disease. Brain. 2013;136:3727–3737.
    1. Forbes-McKay K.E., Venneri A. Detecting subtle spontaneous language decline in early Alzheimer's disease with a picture description task. Neurol Sci. 2005;26:243–254.
    1. Satt A, Sorin A, Toledo-Ronen O, Barkan O, Kompatsiaris I, Kokonozi A, et al. Evaluation of speech-based protocol for detection of early-stage dementia. In: Bimbot F, Cerisara C, Fougeron C, Gravier G, Lamel L, Pellegrino F, et al (eds): INTERSPEECH. Presented at the 14th Annual Conference of the International Speech Communication Association, Lyon, France, August 25–29, 2013; ISCA, 2013:1692–1696.
    1. Adams C., Smith M.C., Pasupathi M., Vitolo L. Social context effects on story recall in older and younger women: does the listener make a difference? J Gerontol B Psychol Sci Soc Sci. 2002;57:P28–P40.
    1. Isaacowitz D., Charles S., Carstensen L. Erlbaum; Mahwah, NJ: 2000. Emotion and Cognition.
    1. Cerhan J.H., Ivnik R.J., Smith G.E., Tangalos E.C., Petersen R.C., Boeve B.F. Diagnostic utility of letter fluency, category fluency, and fluency difference scores in Alzheimer's disease. Clin Neuropsychol. 2002;16:35–42.
    1. Henry J.D., Crawford J.R., Phillips L.H. Verbal fluency performance in dementia of the Alzheimer's type: A meta-analysis. Neuropsychologia. 2004;42:1212–1222.
    1. Brandt J., Manning K.J. Patterns of word-list generation in mild cognitive impairment and Alzheimer's disease. Clin Neuropsychol. 2009;23:870–879.
    1. Kanai R., Bahrami B., Roylance R., Rees G. Online social network size is reflected in human brain structure. Proc R Soc B. 2012;279:1327–1334.
    1. Bickart K.C., Wright C.I., Dautoff R.J., Dickerson B.C., Barrett L.F. Amygdala volume and social network size in humans. Nat Neurosci. 2011;14:163–164.
    1. Sallet J., Mars R.B., Noonan M.P., Andersson J.L., O'Reilly J.X., Jbabdi S. Social network size affects neural circuits in macaques. Science. 2011;334:697–700.
    1. Dodge H.H., Ybarra O., Kaye J.A. Tools for advancing research into social networks and cognitive function in older adults. Int Psychogeriatr. 2014;26:533–539.
    1. Lautenschlager N.T., Anstey K.J., Kurz A.F. Non-pharmacological strategies to delay cognitive decline. Maturitas. 2014;79:170–173.
    1. Schneider N., Yvon C. A review of multidomain interventions to support healthy cognitive ageing. J Nutr Health Aging. 2013;17:252–257.
    1. Lampit A., Hallock H., Valenzuela M. Computerized cognitive training in cognitively healthy older adults: A systematic review and meta-analysis of effect modifiers. PLoS Med. 2014;11:e1001756.

Source: PubMed

3
S'abonner