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Time-Based prospective memory predicts insight into functional abilities among community-dwelling older adults

Published online by Cambridge University Press:  03 December 2024

Michelle Gereau Mora Open the ORCID record for Michelle Gereau Mora [Opens in a new window] ,
Libby A. DesRuisseaux Open the ORCID record for Libby A. DesRuisseaux [Opens in a new window]  and
Yana Suchy Open the ORCID record for Yana Suchy [Opens in a new window]
Michelle Gereau Mora*
Affiliation:
Department of Psychology, University of Utah, Salt Lake City, UT, USA
Libby A. DesRuisseaux
Affiliation:
Department of Psychology, University of Utah, Salt Lake City, UT, USA
Yana Suchy
Affiliation:
Department of Psychology, University of Utah, Salt Lake City, UT, USA
*
Corresponding author: Michelle Gereau Mora; Email: michelle.gereau@psych.utah.edu
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Abstract

Objective:

Accurate appraisal of one’s own abilities (i.e., insight) is necessary for appropriate compensatory behaviors and sustained independence during aging. Although insight is often purported to be related to executive functioning (EF), nuanced understanding of the cognitive correlates of insight for functional abilities among nondemented older adults is lacking. Because insight shares neuroanatomic underpinnings with time-based prospective memory (PM), the present study examined the contributions of time-based PM, beyond event-based PM and other potential cognitive confounds (i.e., episodic memory, time estimation, and EF), in predicting insight into one’s own performance on instrumental activities of daily living (IADLs) among community-dwelling older adults.

Method:

A group of 88 nondemented, community-dwelling older adults completed performance-based measures of time- and event-based PM, episodic memory, time estimation, and EF, as well as IADL tasks followed by self-appraisals of their own IADL performance as indices of insight.

Results:

Time-based PM was moderately-to-strongly associated with insight, beyond event-based PM, time estimation, and episodic memory [F(1,83) = 11.58, p = .001, ηp2 = .122], as well as beyond EF and demographic covariates [F(1,79) = 10.72, p = .002, ηp2 = .119].Specifically, older adults who performed more poorly on a time-based PM task overestimated the efficiency of their own IADL performance to a greater extent.

Conclusions:

Findings suggest that nondemented older adults with poorer time-based PM may be more prone to inaccurately appraising their functional abilities and that this vulnerability may not be adequately captured by traditional EF measures.

Keywords

Metacognitioninstrumental activities of daily livingprospective memoryagingexecutive functioninginsight

Information

Type
Research Article
Information
Journal of the International Neuropsychological Society , Volume 31 , Issue 1 , January 2025 , pp. 11 - 21
Copyright
© The Author(s), 2024. Published by Cambridge University Press on behalf of International Neuropsychological Society

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References

Alzheimer’s Disease Neuroimaging Initiative, Thomas, K. R., Edmonds, E. C., Eppig, J., Salmon, D. P., & Bondi, M. W. (2018). Using neuropsychological process scores to identify subtle cognitive decline and predict progression to mild cognitive impairment. Journal of Alzheimer’s Disease, 64(1), 195–204. https://doi.org/10.3233/JAD-180229 Google ScholarPubMed
Ardila, A. (2005). Cultural values underlying psychometric cognitive testing. Neuropsychology Review, 15(4), 185. https://doi.org/10.1007/s11065-005-9180-y CrossRefGoogle ScholarPubMed
Arora, C., Frantz, C., & Toglia, J. (2021). Awareness of performance on a functional cognitive performance-based assessment across the adult lifespan. Frontiers in Psychology, 12, 753016. https://doi.org/10.3389/fpsyg.2021.753016 CrossRefGoogle ScholarPubMed
Baird, B., Smallwood, J., Gorgolewski, K. J., & Margulies, D. S. (2013). Medial and lateral networks in anterior prefrontal cortex support metacognitive ability for memory and perception. The Journal of Neuroscience, 33(42), 16657–16665. https://doi.org/10.1523/JNEUROSCI.0786-13.2013 CrossRefGoogle ScholarPubMed
Ball, B. H., Pitães, M., & Brewer, G. A. (2018). Individual differences in episodic memory abilities predict successful prospective memory output monitoring. Memory, 26(8), 1159–1168. https://doi.org/10.1080/09658211.2018.1436180 Google Scholar
Blondelle, G., Hainselin, M., Gounden, Y., & Quaglino, V. (2020). Instruments measuring prospective memory: A systematic and meta-analytic review. Archives of Clinical Neuropsychology, 35(5), 576–596. https://doi.org/10.1093/arclin/acaa009 CrossRefGoogle ScholarPubMed
Borella, E., Cantarella, A., Joly, E., Ghisletta, P., Carbone, E., Coraluppi, D., Piras, F., & De Beni, R. (2017). Performance-based everyday functional competence measures across the adult lifespan: The role of cognitive abilities. International Psychogeriatrics, 29(12), 2059–2069. https://doi.org/10.1017/S1041610217000680 CrossRefGoogle ScholarPubMed
Brewer, G. A., & Marsh, R. L. (2010). On the role of episodic future simulation in encoding of prospective memories. Cognitive Neuroscience, 1(2), 81–88. https://doi.org/10.1080/17588920903373960 Google ScholarPubMed
Brothers, S. L., & Suchy, Y. (2021). Daily assessment of executive functioning and expressive suppression predict daily functioning among community-dwelling older adults. Journal of the International Neuropsychological Society, 28(9), 974–983. https://doi.org/10.1017/S1355617721001156 CrossRefGoogle ScholarPubMed
Burgess, P. W., Alderman, N., Forbes, C., Costello, A., Coates, L. M.-A., Dawson, D. R., Anderson, N. D., Gilbert, S. J., Dumontheil, I., & Channon, S. (2006). The case for the development and use of “ecologically valid” measures of executive function in experimental and clinical neuropsychology. Journal of the International Neuropsychological Society, 12(2), 194–209. https://doi.org/10.1017/S1355617706060310 Google ScholarPubMed
Burgess, P. W., Dumontheil, I., Gilbert, S. J., Okuda, J., Schölvinck, M. L., & Simons, J. S. (2008). On the role of rostral prefrontal cortex (area 10) in prospective memory. In Prospective memory: Cognitive, neuroscience, developmental, and applied perspectives (pp. 235–260). Lawrence Erlbaum Associates.Google Scholar
Burton, C. L., Strauss, E., Hultsch, D. F., & Hunter, M. A. (2006). Cognitive functioning and everyday problem solving in older adults. The Clinical Neuropsychologist, 20(3), 432–452. https://doi.org/10.1080/13854040590967063 CrossRefGoogle ScholarPubMed
Casaletto, K. B., Doyle, K. L., Weber, E., Woods, S. P., Heaton, R. K., Grant, I., Atkinson, J. H., Ellis, R. J., Letendre, S., Marcotte, T. D., Marquie-Beck, J., Sherman, M., Ellis, R. J., Letendre, S., McCutchan, J. A., Best, B., Schrier, R., Rosario, D., & Heaton, R. K.…The HIV Neurobehavioral Research Program (HNRP) Group. (2014). Self-predictions of prospective memory in HIV-associated neurocognitive disorders: Evidence of a metamemory deficit, Archives of Clinical Neuropsychology, 29(8), 818–827. https://doi.org/10.1093/arclin/acu061 CrossRefGoogle Scholar
Chapman, S., Colvin, L. E., & Cosentino, S. (2020). Translational aspects of the multidisciplinary study of metacognition. Translational Issues in Psychological Science, 6(1), 26–31. https://doi.org/10.1037/tps0000224 Google ScholarPubMed
Chaytor, N., & Schmitter-Edgecombe, M. (2003). The ecological validity of neuropsychological tests: A review of the literature on everyday cognitive skills. Neuropsychology Review, 13(4), 181–197. https://doi.org/10.1023/B:NERV.0000009483.91468.fb CrossRefGoogle ScholarPubMed
Cheung, E. F. C., Lui, S. S. Y., Wang, Y., Yang, T., Shum, D. H. K., & Chan, R. C. K. (2015). Time-based but not event-based prospective memory remains impaired one year after the onset of schizophrenia: A prospective study. Schizophrenia Research, 169(1-3), 147–152. https://doi.org/10.1016/j.schres.2015.09.015 Google Scholar
Cona, G., & Rothen, N. (2019). Neuropsychological and physiological correlates of prospective memory. In Prospective memory (pp. 95–115). Routledge.CrossRefGoogle ScholarPubMed
Cosentino, S., Metcalfe, J., Cary, M. S., De Leon, J., Karlawish, J., & Kim, S. (2011). Memory awareness influences everyday decision making capacity about medication management in Alzheimer’s disease. International Journal of Alzheimer’s Disease, 2011(1), 1–9. https://doi.org/10.4061/2011/483897 Google ScholarPubMed
De Souza, N. A. P., De Oliveira, F., De Carvalho, R. L. S., & Dourado, M. C. N. (2022). The relationship between decision-making capacity and the domains of awareness in Alzheimer disease. Alzheimer Disease & Associated Disorders, 36(1), 58–63. https://doi.org/10.1097/WAD.0000000000000484 Google ScholarPubMed
Delis, D. C., Kaplan, E., & Kramer, J. H. (2001). Delis-Kaplan Executive Function System: Examiner’s Manual. The Psychological Corporation.Google Scholar
DesRuisseaux, L. A., Suchy, Y., & Franchow, E. I. (2023). Intra-individual variability identifies individuals vulnerable to contextually induced executive lapses. The Clinical Neuropsychologist, 37(2), 322–349. https://doi.org/10.1080/13854046.2022.2055651 CrossRefGoogle ScholarPubMed
Devolder, P. A., & Pressley, M. (1992). Causal attributions and strategy use in relation to memory performance differences in younger and older adults. Applied Cognitive Psychology, 6(7), 629–642. https://doi.org/10.1002/acp.2350060706 CrossRefGoogle Scholar
Eisinga, R., Grotenhuis, M. T., & Pelzer, B. (2013). The reliability of a two-item scale: Pearson, Cronbach, or Spearman-Brown? International Journal of Public Health, 58(4), 637–642. https://doi.org/10.1007/s00038-012-0416-3 Google ScholarPubMed
Enders, C. K. (2022). Introduction to missing data. In Applied missing data analysis (Second edn., pp. 1–46). The Guilford Press.Google Scholar
Fazeli, P. L., Casaletto, K. B., Woods, S. P., Umlauf, A., Scott, J. C., & Moore, D. J. (2017). Everyday multitasking abilities in older HIV+ adults: Neurobehavioral correlates and the mediating role of metacognition. Archives of Clinical Neuropsychology, 32(8), 917–928, https://search.ebscohost.com/login.aspx?direct=true&db=psyh&AN=2017-56092-001&site=ehost-live CrossRefGoogle ScholarPubMed
Franchow, E. I., & Suchy, Y. (2017). Expressive suppression depletes executive functioning in older adulthood. Journal of the International Neuropsychological Society, 23(4), 341–351. https://doi.org/10.1017/S1355617717000054 Google ScholarPubMed
Gereau Mora, M., & Suchy, Y. (2023). Know thyself: Executive functioning and sex predict self-appraisal of functional abilities in community-dwelling older adults. The Clinical Neuropsychologist, 37(8), 1686–1709. https://doi.org/10.1080/13854046.2023.2167738 Google Scholar
Graf, C. (2008). The lawton instrumental activities of daily living scale. AJN, American Journal of Nursing, 108(4), 52–62. https://doi.org/10.1097/01.NAJ.0000314810.46029.74 CrossRefGoogle ScholarPubMed
Graf, P., & Grondin, S. (2006). Time Perception and Time-Based Prospective Memory. In Glicksohn, J., & Myslobodsky, M. (Eds.), Timing the future: The case for a time-based prospective memory (pp. 1–24). World Scientific.Google Scholar
Gregory, T., Callaghan, A., Nettelbeck, T., & Wilson, C. (2009). Inspection time predicts individual differences in everyday functioning among elderly adults: Testing discriminant validity. Australasian Journal on Ageing, 28(2), 87–92. https://doi.org/10.1111/j.1741-6612.2009.00366.x CrossRefGoogle ScholarPubMed
Grigsby, J., Kaye, K., Baxter, J., Shetterly, S. M., & Hamman, R. F. (1998). Executive cognitive abilities and functional status among community-dwelling older persons in the San Luis Valley Health and aging study. Journal of the American Geriatrics Society, 46(5), 590–596. https://doi.org/10.1111/j.1532-5415.1998.tb01075.x Google Scholar
Hardt, J., Herke, M., & Leonhart, R. (2012). Auxiliary variables in multiple imputation in regression with missing X: A warning against including too many in small sample research. BMC Medical Research Methodology, 12(1), 184. https://doi.org/10.1186/1471-2288-12-184 CrossRefGoogle Scholar
Harty, S., O’Connell, R. G., Hester, R., & Robertson, I. H. (2013). Older adults have diminished awareness of errors in the laboratory and daily life. Psychology and Aging, 28(4), 1032–1041. https://doi.org/10.1037/a0033567 CrossRefGoogle ScholarPubMed
Hayward, R. D., Taylor, W. D., Smoski, M. J., Steffens, D. C., & Payne, M. E. (2013). Association of five-factor model personality domains and facets with presence, onset, and treatment outcomes of major depression in older adults. The American Journal of Geriatric Psychiatry, 21(1), 88–96. https://doi.org/10.1016/j.jagp.2012.11.012 CrossRefGoogle ScholarPubMed
Heine, S. J., & Hamamura, T. (2007). In search of east asian self-enhancement. Personality and Social Psychology Review, 11(1), 4–27. https://doi.org/10.1177/1088868306294587 Google Scholar
Hertzog, C., & Jopp, D. S. (2010). Resilience in the face of cognitive aging. In Fry, P. S., & Keyes, C. L. M. (Eds.), New Frontiers in Resilient Aging (pp. 130–161). Cambridge University Press. https://doi.org/10.1017/CBO9780511763151.007 CrossRefGoogle Scholar
Hoffman, G. J., Ha, J., Alexander, N. B., Langa, K. M., Tinetti, M., & Min, L. C. (2018). Underreporting of fall injuries of older adults: Implications for wellness visit fall risk screening: Accuracy of self-reported fall injuries. Journal of the American Geriatrics Society, 66(6), 1195–1200. https://doi.org/10.1111/jgs.15360 CrossRefGoogle ScholarPubMed
Hosseini, A., Rezaei, S., & Saberi, A. (2020). Direct and indirect timing functions in unilateral hemispheric lesion. Basic and Clinical Neuroscience Journal, 11(3), 301–312. https://doi.org/10.32598/bcn.11.2.1324.2 Google Scholar
Huppert, F. A., Johnson, T., & Nickson, J. (2000). High prevalence of prospective memory impairment in the elderly and in early-stage dementia: Findings from a population-based study. Applied Cognitive Psychology, 14(7), S63–S81. https://doi.org/10.1002/acp.771 CrossRefGoogle Scholar
Javanbakht, M., Lin, J., Ragsdale, A., Kim, S., Siminski, S., & Gorbach, P. (2022). Comparing single and multiple imputation strategies for harmonizing substance use data across HIV-related cohort studies. BMC Medical Research Methodology, 22(1), 90. https://doi.org/10.1186/s12874-022-01554-4 Google ScholarPubMed
Jurica, P., Leitten, C., & Mattis, S. (2001). Dementia Rating Scale-2: Professional Manual (FL. Lutz, Ed.), Psychological Assessment Resources.Google Scholar
Karr, J. E., Hakun, J. G., Elbich, D. B., Pinheiro, C. N., Schmitt, F. A., & Segerstrom, S. C. (2024). Detecting cognitive decline in high-functioning older adults: The relationship between subjective cognitive concerns, frequency of high neuropsychological test scores, and the frontoparietal control network. Journal of the International Neuropsychological Society, 30(3), 220–231. https://doi.org/10.1017/S1355617723000607 CrossRefGoogle ScholarPubMed
Katai, S. (2003). Event based and time based prospective memory in parkinson’s disease. Journal of Neurology, Neurosurgery & Psychiatry, 74(6), 704–709. https://doi.org/10.1136/jnnp.74.6.704 CrossRefGoogle ScholarPubMed
Knight, R. G., Harnett, M., & Titov, N. (2005). The effects of traumatic brain injury on the predicted and actual performance of a test of prospective remembering. Brain Injury, 19(1), 19–27. https://doi.org/10.1080/02699050410001720022 CrossRefGoogle ScholarPubMed
Koivula, N. (1996). Estimation of time: Effects of locus of control, mental arithmetic and length of target interval. Personality and Individual Differences, 20(1), 25–32. https://doi.org/10.1016/0191-8869(95)90022-M CrossRefGoogle Scholar
Koorevaar, A. M. L., Comijs, H. C., Dhondt, A. D. F., Van Marwijk, H. W. J., Van Der Mast, R. C., Naarding, P., Oude Voshaar, R. C., & Stek, M. L. (2013). Big five personality and depression diagnosis, severity and age of onset in older adults. Journal of Affective Disorders, 151(1), 178–185. https://doi.org/10.1016/j.jad.2013.05.075 CrossRefGoogle ScholarPubMed
Kotov, R., Gamez, W., Schmidt, F., & Watson, D. (2010). Linking “big” personality traits to anxiety, depressive, and substance use disorders: A meta-analysis. Psychological Bulletin, 136(5), 768–821. https://doi.org/10.1037/a0020327 Google ScholarPubMed
Kraybill, M. L., Thorgusen, S. R., & Suchy, Y. (2013). The push-turn-taptap task outperforms measures of executive functioning in predicting declines in functionality: Evidence-based approach to test validation. The Clinical Neuropsychologist, 27(2), 238–255. https://doi.org/10.1080/13854046.2012.735702 CrossRefGoogle ScholarPubMed
Kuhlmann, B. G. (2019). Metacognition of prospective memory. In Prospective memory (pp. 60–77). Routledge.CrossRefGoogle Scholar
Labelle, M.-A., Graf, P., Grondin, S., & Gagné-Roy, L. (2009). Time-related processes in time-based prospective memory and in time-interval production. European Journal of Cognitive Psychology, 21(4), 501–521. https://doi.org/10.1080/09541440802031000 Google Scholar
Lassen-Greene, C. L., Steward, K., Okonkwo, O., Porter, E., Crowe, M., Vance, D. E., Griffith, H. R., Ball, K., Marson, D. C., & Wadley, V. G. (2017). Mild cognitive impairment and changes in everyday function over time: The importance of evaluating both speed and accuracy. Journal of Geriatric Psychiatry and Neurology, 30(4), 220–227. https://doi.org/10.1177/0891988717711807 Google ScholarPubMed
Lawton, M. P., & Brody, E. M. (1969). Assessment of older people: Self-maintaining and instrumental activities of daily living. The Gerontologist, 9(3 Part 1), 179–186. https://doi.org/10.1093/geront/9.3_Part_1.179 CrossRefGoogle ScholarPubMed
Lechuga, J., & Wiebe, J. S. (2011). Culture and probability judgment accuracy: The influence of holistic reasoning. Journal of Cross-Cultural Psychology, 42(6), 1054–1065. https://doi.org/10.1177/0022022111407914 Google ScholarPubMed
Lecouvey, G., Morand, A., Gonneaud, J., Piolino, P., Orriols, E., Pélerin, A., Ferreira Da Silva, L., De La Sayette, V., Eustache, F., & Desgranges, B. (2019). An impairment of prospective memory in mild alzheimer’s disease: A ride in a virtual town. Frontiers in Psychology, 10, 241. https://doi.org/10.3389/fpsyg.2019.00241 Google Scholar
Lezak, M. D., Howieson, D. B., Bigler, E. D., & Tranel, D. (2012). Neuropsychological assessment (5th ed). Oxford University Press.Google Scholar
Liu, S. Y., & Lapane, K. L. (2009). Residential modifications and decline in physical function among community-dwelling older adults. The Gerontologist, 49(3), 344–354. https://doi.org/10.1093/geront/gnp033 CrossRefGoogle ScholarPubMed
Lopez, F. V., Kenney, L. E., Ratajska, A., Jacobson, C. E., & Bowers, D. (2023). What does the dementia rating scale-2 measure? The relationship of neuropsychological measures to DRS-2 total and subscale scores in non-demented individuals with parkinson’s disease. The Clinical Neuropsychologist, 37(1), 174–193. https://doi.org/10.1080/13854046.2021.1999505 CrossRefGoogle ScholarPubMed
Lundeberg, M. A., & Mohan, L. (2009). Context matters: Gender and cross-cultural differences in confidence. In Hacker, D. J., Dunlosky, J., & Graesser, A. C. (Eds.), Handbook of metacognition in education (pp. 221–239). Routledge.Google Scholar
Massa, F., Grisanti, S., Brugnolo, A., Doglione, E., Orso, B., Morbelli, S., Bauckneht, M., Origone, P., Filippi, L., Arnaldi, D., De Carli, F., Pardini, M., Pagani, M., Nobili, F., & Girtler, N. (2020). The role of anterior prefrontal cortex in prospective memory: An exploratory FDG-PET study in early alzheimer’s disease. Neurobiology of Aging, 96, 117–127. https://doi.org/10.1016/j.neurobiolaging.2020.09.003 CrossRefGoogle ScholarPubMed
Matteau, E., Dupré, N., Langlois, M., Jean, L., Thivierge, S., Provencher, P., & Simard, M. (2011). Mattis dementia rating scale 2: Screening for MCI and dementia. American Journal of Alzheimer’s Disease & Other Dementiasr, 26(5), 389–398. https://doi.org/10.1177/1533317511412046 CrossRefGoogle ScholarPubMed
Maylor, E. A., Smith, G., Sala, S. D., & Logie, R. H. (2002). Prospective and retrospective memory in normal aging and dementia: An experimental study. Memory & Cognition, 30(6), 871–884. https://doi.org/10.3758/BF03195773 CrossRefGoogle ScholarPubMed
Mazancieux, A., Moulin, C. J. A., Casez, O., & Souchay, C. (2021). A multidimensional assessment of metacognition across domains in multiple sclerosis. Journal of the International Neuropsychological Society, 27(2), 124–135. https://doi.org/10.1017/S1355617720000776 CrossRefGoogle ScholarPubMed
McAlister, C., & Schmitter-Edgecombe, M. (2016). Everyday functioning and cognitive correlates in healthy older adults with subjective cognitive concerns. The Clinical Neuropsychologist, 30(7), 1087–1103. https://doi.org/10.1080/13854046.2016.1190404 CrossRefGoogle ScholarPubMed
McDaniel, M. A., & Einstein, G. O. (2000). Strategic and automatic processes in prospective memory retrieval: A multiprocess framework. Applied Cognitive Psychology, 14(7). https://doi.org/10.1002/acp.775 CrossRefGoogle Scholar
Mioni, G. (2018). Methodological Issues in the Study of Prospective Timing. In Vatakis, A., Balcı, F., Di Luca, M., & Correa, Á. (Eds.), Timing and Time Perception: Procedures, Measures, & Applications (pp. 79–97), BRILL, https://doi.org/10.1163/9789004280205 Google Scholar
Mioni, G., Grondin, S., McLennan, S. N., & Stablum, F. (2020). The role of time-monitoring behaviour in time-based prospective memory performance in younger and older adults. Memory, 28(1), 34–48. https://doi.org/10.1080/09658211.2019.1675711 CrossRefGoogle ScholarPubMed
Morales, J., Lau, H., & Fleming, S. M. (2018). Domain-general and domain-specific patterns of activity supporting metacognition in human prefrontal cortex. The Journal of Neuroscience, 38(14), 3534–3546. https://doi.org/10.1523/JNEUROSCI.2360-17.2018 Google ScholarPubMed
Mussweiler, T., Epstude, K., & Rüter, K. (2005). The knife that cuts both ways: Comparison processes in social perception. In Alicke, M. D., Dunning, D., & Krueger, J. I. (Eds.), The self in social judgment (pp. 109–130). Psychology Press.Google Scholar
Niermeyer, M. A., & Suchy, Y. (2020). Walking, talking, and suppressing: Executive functioning mediates the relationship between higher expressive suppression and slower dual-task walking among older adults. The Clinical Neuropsychologist, 34(4), 775–796. https://doi.org/10.1080/13854046.2019.1704436 CrossRefGoogle ScholarPubMed
Owsley, C., Sloane, M., McGwin, G., & Ball, K. (2002). Timed instrumental activities of daily living tasks: Relationship to cognitive function and everyday performance assessments in older adults. Gerontologia, 48(4), 254–265. https://doi.org/10.1159/000058360 CrossRefGoogle ScholarPubMed
Pallant, J. (2020). SPSS survival manual: A step by step guide to data analysis using IBM SPSS 7th (edn). Open University Press.Google Scholar
Park, D. C., Hertzog, C., Kidder, D. P., Morrell, R. W., & Mayhorn, C. B. (1997). Effect of age on event-based and time-based prospective memory. Psychology and Aging, 12(2), 314–327. https://doi.org/10.1037/0882-7974.12.2.314 CrossRefGoogle ScholarPubMed
Picton, T. W., Stuss, D. T., Shallice, T., Alexander, M. P., & Gillingham, S. (2006). Keeping time: Effects of focal frontal lesions. Neuropsychologia, 44(7), 1195–1209. https://doi.org/10.1016/j.neuropsychologia.2005.10.002 CrossRefGoogle ScholarPubMed
Rabin, L. A., Paolillo, E., & Barr, W. B. (2016). Stability in test-usage practices of clinical neuropsychologists in the United States and Canada over a 10-year period: A follow-up survey of INS and NAN members. Archives of Clinical Neuropsychology, 31(3), 206–230. https://doi.org/10.1093/arclin/acw007 Google Scholar
Rachmatullah, A., & Ha, M. (2019). Examining high-school students’ overconfidence bias in biology exam: A focus on the effects of country and gender. International Journal of Science Education, 41(5), 652–673. https://doi.org/10.1080/09500693.2019.1578002 CrossRefGoogle Scholar
Raskin, S. A., Woods, S. P., Poquette, A. J., McTaggart, A. B., Sethna, J., Williams, R. C., & Tröster, A. I. (2011). A differential deficit in time- versus event-based prospective memory in parkinson’s disease. Neuropsychology, 25(2), 201–209. https://doi.org/10.1037/a0020999 CrossRefGoogle ScholarPubMed
Roche, N. L., Fleming, J. M., & Shum, D. H. K. (2002). Self-awareness of prospective memory failure in adults with traumatic brain injury. Brain Injury, 16(11), 931–945. https://doi.org/10.1080/02699050210138581 CrossRefGoogle ScholarPubMed
Román-Caballero, R., & Mioni, G. (2023). Time-based and event-based prospective memory in mild cognitive impairment and alzheimer’s disease patients: A systematic review and meta-analysis. Neuropsychology Review, Advance online publication. https://doi.org/10.1007/s11065-023-09626-y CrossRefGoogle Scholar
Rouault, M., McWilliams, A., Allen, M. G., & Fleming, S. M. (2018). Human metacognition across domains: Insights from individual differences and neuroimaging. Personality Neuroscience, 1, e17. https://doi.org/10.1017/pen.2018.16 Google ScholarPubMed
Rummel, J. & McDaniel, M. A. (Eds.). (2019). Prospective Memory (1st edn.). Routledge. https://doi.org/10.4324/9781351000154 Google Scholar
Salazar-Frías, D., Rodríguez-Bailón, M., Ricchetti, G., Navarro-Egido, A., & Funes, M. J. (2024). The cognitive awareness scale for basic and instrumental activities of daily living to measure self-awareness after acquired brain injury: Preliminary evidence of its validity. The Clinical Neuropsychologist, 38-2(5), 1133–1155. https://doi.org/10.1080/13854046.2023.2278822 CrossRefGoogle Scholar
Schmitter-Edgecombe, M., Parsey, C., & Cook, D. J. (2011). Cognitive correlates of functional performance in older adults: Comparison of self-report, direct observation, and performance-based measures. Journal of the International Neuropsychological Society, 17(05), 853–864. https://doi.org/10.1017/S1355617711000865 CrossRefGoogle ScholarPubMed
Shaked, D., Sunderaraman, P., Piscitello, J., Cines, S., Hale, C., Devanand, D., Karlawish, J., & Cosentino, S. (2019). Modification of everyday activities and its association with self-awareness in cognitively diverse older adults. PLoS ONE, 14(11), e0222769. https://doi.org/10.1371/journal.pone.0222769 CrossRefGoogle ScholarPubMed
Sheppard, D. P., Matchanova, A., Sullivan, K. L., Kazimi, S. I., & Woods, S. P. (2020). Prospective memory partially mediates the association between aging and everyday functioning. The Clinical Neuropsychologist, 34(4), 755–774.CrossRefGoogle ScholarPubMed
Springate, B. A., Tremont, G., Papandonatos, G., & Ott, B. R. (2014). Screening for mild cognitive impairment using the dementia rating scale-2. Journal of Geriatric Psychiatry and Neurology, 27(2), 139–144. https://doi.org/10.1177/0891988714522700 CrossRefGoogle ScholarPubMed
Steward, K. A., & Kretzmer, T. (2022). Anosognosia in moderate-to-severe traumatic brain injury: A review of prevalence, clinical correlates, and diversity considerations. The Clinical Neuropsychologist, 36(8), 2021–2040. https://doi.org/10.1080/13854046.2021.1967452 CrossRefGoogle ScholarPubMed
Stuss, D. T., & Knight, R. T. Eds (2002). Principles of Frontal Lobe Function. Oxford University Press. https://doi.org/10.1093/acprof:oso/9780195134971.001.0001 CrossRefGoogle Scholar
Suchy, Y. (2015a). Executive functioning: A comprehensive guide for clinical practice. Oxford University Press.Google Scholar
Suchy, Y. (2015b). Meta-tasking and the Disorganized Syndrome. In Executive Funcitoning: A Comprehensive Guide for Clinical Practice (pp. 37–50). Oxford University Press.Google Scholar
Suchy, Y., & Brothers, S. L. (2022). Reliability and validity of composite scores from the timed subtests of the D-KEFS battery. Psychological Assessment, 34(5), 483–495. https://doi.org/10.1037/pas0001081 CrossRefGoogle ScholarPubMed
Suchy, Y., Gereau Mora, M., DesRuisseaux, L. A., & Brothers, S. L. (2023). It’s complicated: Executive functioning moderates impacts of daily busyness on everyday functioning in community-dwelling older adults. Journal of the International Neuropsychological Society, 29(9), 1–9. https://doi.org/10.1017/S1355617723000048 Google ScholarPubMed
Suchy, Y., Kraybill, M. L., & Franchow, E. (2011). Instrumental activities of daily living among community-dwelling older adults: Discrepancies between self-report and performance are mediated by cognitive reserve. Journal of Clinical and Experimental Neuropsychology, 33(1), 92–100. https://doi.org/10.1080/13803395.2010.493148 CrossRefGoogle ScholarPubMed
Suchy, Y., Lipio Brothers, S., DesRuisseaux, L. A., Gereau, M. M., Davis, J. R., Chilton, R. L. C., & Schmitter-Edgecombe, M. (2022). Ecological validity reconsidered: The night out task versus the D-KEFS. Journal of Clinical and Experimental Neuropsychology, 44(8), 562–579. https://doi.org/10.1080/13803395.2022.2142527 CrossRefGoogle ScholarPubMed
Suchy, Y., Mullen, C. M., Brothers, S., & Niermeyer, M. A. (2020a). Interpreting executive and lower-order error scores on the timed subtests of the delis-kaplan executive function system (D-KEFS) battery: Error analysis across the adult lifespan. Journal of Clinical and Experimental Neuropsychology, 42(10), 982–997. https://doi.org/10.1080/13803395.2020.1832203 Google ScholarPubMed
Suchy, Y., Ziemnik, R. E., Niermeyer, M. A., & Brothers, S. L. (2020b). Executive functioning interacts with complexity of daily life in predicting daily medication management among older adults. The Clinical Neuropsychologist, 34(4), 797–825. https://doi.org/10.1080/13854046.2019.1694702 CrossRefGoogle ScholarPubMed
Sunderaraman, P., & Cosentino, S. (2017). Integrating the constructs of anosognosia and metacognition: A review of recent findings in dementia. Current Neurology and Neuroscience Reports, 17(3), 27. https://doi.org/10.1007/s11910-017-0734-1 CrossRefGoogle ScholarPubMed
Toglia, J. (2011). The dynamic interactional model of cognition in cognitive rehabilitation,. In Katz, N. (Eds.), Cognition, occupation, and participation across the life span: Neuroscience, neurorehabilitation, and models of intervention in occupational therapy (3rd edn. pp. 161–201). AOTA Press.Google Scholar
Troyer, A. K., & Murphy, K. J. (2007). Memory for intentions in amnestic mild cognitive impairment: Time- and event-based prospective memory. Journal of the International Neuropsychological Society, 13(02), 365–369. https://doi.org/10.1017/S1355617707070452CrossRefGoogle ScholarPubMed
U.S. Census Bureau. Demographic turning points for the United States: Population projections for 2020 to 2060 (2020) https://www.census.gov/content/dam/Census/library/publications/2020/demo/p25-1144.pdf, accessed (U.S. Census Bureau, P25–1144).Google Scholar
Vanneste, S., Baudouin, A., Bouazzaoui, B., & Taconnat, L. (2016). Age-related differences in time-based prospective memory: The role of time estimation in the clock monitoring strategy. Memory, 24(6), 812–825. https://doi.org/10.1080/09658211.2015.1054837 CrossRefGoogle ScholarPubMed
Volle, E., Gonen-Yaacovi, G., De Lacy Costello, A., Gilbert, S. J., & Burgess, P. W. (2011). The role of rostral prefrontal cortex in prospective memory: A voxel-based lesion study. Neuropsychologia, 49(8), 2185–2198. https://doi.org/10.1016/j.neuropsychologia.2011.02.045 CrossRefGoogle ScholarPubMed
Wadley, V. G., Okonkwo, O., Crowe, M., & Ross-Meadows, L. A. (2008). Mild cognitive impairment and everyday function: Evidence of reduced speed in performing instrumental activities of daily living. The American Journal of Geriatric Psychiatry, 16(5), 416–424. https://doi.org/10.1097/01.JGP.0000310780.04465.13 CrossRefGoogle ScholarPubMed
Weakley, A., Weakley, A. T., & Schmitter-Edgecombe, M. (2019). Compensatory strategy use improves real-world functional performance in community dwelling older adults. Neuropsychology, 33(8), 1121–1135. https://doi.org/10.1037/neu0000591 CrossRefGoogle ScholarPubMed
Weber, K., Giannakopoulos, P., Bacchetta, J.-P., Quast, S., Herrmann, F. R., Delaloye, C., Ghisletta, P., De Ribaupierre, A., & Canuto, A. (2012). Personality traits are associated with acute major depression across the age spectrum. Aging & Mental Health, 16(4), 472–480. https://doi.org/10.1080/13607863.2011.630375 CrossRefGoogle ScholarPubMed
Wechsler, D. (2011). The test of premorbid function (TOPF). The Psychological Corporation.Google Scholar
West, R., & Craik, F. I. M. (1999). Age-related decline in prospective memory: The roles of cue accessibility and cue sensitivity. Psychology and Aging, 14(2), 264–272. https://doi.org/10.1037/0882-7974.14.2.264 CrossRefGoogle ScholarPubMed
Winkens, I., Prinsen, A., Meijerink, A., Van Heugten, C., & Ponds, R. (2019). Psychometric evaluation of the self-awareness in daily life-3 scale (SADL-3) for the assessment of self-awareness after acquired brain injury. Brain Injury, 33(5), 598–609. https://doi.org/10.1080/02699052.2019.1566969 CrossRefGoogle ScholarPubMed
Yesavage, J. A. (1988). Geriatric depression scale. Psychopharmacology Bulletin, 24(4), 709–711.Google ScholarPubMed
Zhuang, X.-M., Kuo, L.-W., Lin, S.-Y., Yang, J.-J., Tu, M.-C., & Hsu, Y.-H. (2021). Prospective memory and regional functional connectivity in subcortical ischemic vascular disease. Frontiers in Aging Neuroscience, 13, 686040. https://doi.org/10.3389/fnagi.2021.686040 CrossRefGoogle ScholarPubMed
Zuber, S., & Kliegel, M. (2020). Prospective memory development across the lifespan: An integrative framework. European Psychologist, 25(3), 162–173. https://doi.org/10.1027/1016-9040/a000380 Google Scholar
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