EMMI: Everyday Memory Intervention
Study Details
Study Description
Brief Summary
Evaluates an intervention designed to improve everyday memory function, contrasting people receiving the intervention with a group that receives traditional memory strategy training.
Condition or Disease | Intervention/Treatment | Phase |
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N/A |
Detailed Description
This project seeks to develop and validate a novel approach to training everyday memory functioning in older adults. The approach (1) trains people to use simple but effective memory skills that have broad applicability in everyday life and (2) shapes a set of skills and habits of mind that will increase the likelihood of effective use of skills and memory aids. It is based on a metacognitive perspective on self-regulation in cognitively demanding situations and informed by recent theories about how suboptimal habit patterns can be altered. The approach has not yet been used in an everyday memory intervention in high-functioning, community-dwelling older adults. The proposed research validates ecological momentary assessment methods to get actual behavioral measures of forgetting in everyday life. It then uses these procedures in a randomized experiment that contrasts the everyday memory intervention group with a traditional memory-strategy training group. The hypothesis is that the everyday memory training intervention will reduce everyday memory errors and memory complaints, whereas the memory strategy training will alter strategy use and memory performance, with little cross-over effect. The hypothesized pattern will establish the explicit benefits of our everyday memory intervention procedures and demonstrate the limitation of standard memory training for that purpose.
Study Design
Arms and Interventions
Arm | Intervention/Treatment |
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Experimental: Everyday Metacognitive Memory Training in techniques for managing memory demands in everyday life |
Behavioral: Everyday Metacognitive Memory Intervention
Provides training in use of techniques and procedures to enhance proactive self-regulatory control over everyday memory demands, including strategies for learning information, planning for meeting everyday goals, and monitoring of efficacy of goal pursuit.
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Active Comparator: Memory Strategy Control Trains the use of memory strategies for learning new associations and concepts |
Behavioral: Memory Strategy Control Intervention
Trains use of standard mnemonic techniques such as imagery and sentence generation for learning new associations and organizational and distinctiveness-based strategies for learning sets of items (e.g., word lists).
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Outcome Measures
Primary Outcome Measures
- Everyday Memory Failures [Two years]
Frequency count of reported memory failures from EMA & daily diaries; requires qualitative coding to identify eligible events and avoid duplicate reports
- Everyday Memory Successes [Two years]
Frequency count of reported everyday memory successes from EMA & daily diaries; requires qualitative coding to identify eligible events and avoid duplicate reports
- Frequency count of reported memory failures from EMA & daily diaries [Two years]
Frequency count of reported memory failures from EMA & daily diaries
- Everyday Cognition Simulation Task: ATM Task [Two years]
Computerized task to simulate use of an ATM machine. Measure: number of correct responses and total time on task
- Czaja Everyday Cognition Simulation Task: Prescription Refill Task [Two years]
Computerized task to simulate use of an automated telephone program to refill prescriptions. Measure: Number of correct responses and total time on task
- Free recall test [Two years]
Computerized task to present 30 concrete nouns, 6 from 5 taxonomic categories (Hultsch, Hertzog, Dixon, & Small, 1998)
- Associative recall test [Two years]
Computerized task to present 40 concrete-concrete associatively unrelated noun pairs (Hertzog, Sinclair, & Dunlosky, 2010)
Secondary Outcome Measures
- MFQ memory complaint [Two years]
Summative Likert scale measuring frequency of reported memory problems for specific types of problems
- PBMI Specific MSE [Two years]
Summative Likert scale measuring self-rated memory for specific types of memory
- PBMI Memory Control [Two years]
Summative Likert scale measuring self-rated control over everyday
- MCQ Internal [Two years]
Summative Likert scale obtaining self-rated frequency of use of internal mnemonic strategies
- MCQ External [Two years]
Summative Likert scale obtaining self-rated frequency of use of external memory aids
Eligibility Criteria
Criteria
Inclusion Criteria:
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70 - 85 years of age
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in fair to good health
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free of major neurocognitive impairment
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English speaking
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endorsed Smartphone and computer users (or willing to learn)
Exclusion Criteria:
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diagnosis of any major neurological problems (e.g. stroke, Parkinson's disease, dementia)
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1.5 SD below age-normed mean (or lower) on the TICS
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low computer and smart phone literacy
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and poor self-rated health.
Contacts and Locations
Locations
Site | City | State | Country | Postal Code | |
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1 | Adult Cognition Lab | Atlanta | Georgia | United States | 30332 |
Sponsors and Collaborators
- Georgia Institute of Technology
Investigators
- Principal Investigator: Christopher Hertzog, Ph.D, Georgia Institute of Technology
Study Documents (Full-Text)
More Information
Publications
- Bailey H, Dunlosky J, Hertzog C. Metacognitive training at home: does it improve older adults' learning? Gerontology. 2010;56(4):414-20. doi: 10.1159/000266030. Epub 2009 Dec 11.
- Bailey HR, Dunlosky J, Hertzog C. Does strategy training reduce age-related deficits in working memory? Gerontology. 2014;60(4):346-56. doi: 10.1159/000356699. Epub 2014 Feb 27.
- Bottiroli S, Cavallini E, Dunlosky J, Vecchi T, Hertzog C. Self-guided strategy-adaption training for older adults: Transfer effects to everyday tasks. Arch Gerontol Geriatr. 2017 Sep;72:91-98. doi: 10.1016/j.archger.2017.05.015. Epub 2017 Jun 7.
- Bottiroli S, Cavallini E, Dunlosky J, Vecchi T, Hertzog C. The importance of training strategy adaptation: a learner-oriented approach for improving older adults' memory and transfer. J Exp Psychol Appl. 2013 Sep;19(3):205-18. doi: 10.1037/a0034078. Epub 2013 Aug 26.
- Dunlosky J, Cavallini E, Roth H, McGuire CL, Vecchi T, Hertzog C. Do self-monitoring interventions improve older adult learning? J Gerontol B Psychol Sci Soc Sci. 2007 Jun;62 Spec No 1:70-6. Review.
- Dunlosky J, Hertzog C. Measuring strategy production during associative learning: the relative utility of concurrent versus retrospective reports. Mem Cognit. 2001 Mar;29(2):247-53.
- Dunlosky J, Kubat-Silman AK, Hertzog C. Training monitoring skills improves older adults' self-paced associative learning. Psychol Aging. 2003 Jun;18(2):340-5.
- Dunlosky, J., Hertzog, C., Kennedy, M. R. T., & Thiede, K. W. (2005). The self-monitoring approach for effective learning. Cognitive Technology, 10, 4-11.
- Hertzog C, Dunlosky J. Metacognition in Later Adulthood: Spared Monitoring Can Benefit Older Adults' Self-regulation. Curr Dir Psychol Sci. 2011 Jun;20(3):167-173.
- Hertzog C, Lineweaver TT, Hines JC. Computerized assessment of age differences in memory beliefs. Percept Mot Skills. 2014 Oct;119(2):609-28. doi: 10.2466/03.10.PMS.119c23z4. Epub 2014 Sep 26.
- Hertzog C, Lustig E, Pearman A, Waris A. Behaviors and Strategies Supporting Everyday Memory in Older Adults. Gerontology. 2019;65(4):419-429. doi: 10.1159/000495910. Epub 2019 Feb 8.
- Hertzog C, McGuire CL, Horhota M, Jopp D. Does believing in "use it or lose it" relate to self-rated memory control, strategy use, and recall? Int J Aging Hum Dev. 2010;70(1):61-87.
- Hertzog C, Sinclair SM, Dunlosky J. Age differences in the monitoring of learning: cross-sectional evidence of spared resolution across the adult life span. Dev Psychol. 2010 Jul;46(4):939-48. doi: 10.1037/a0019812.
- Lineweaver, T. T., & Hertzog, C. (1998). Adults' efficacy and control beliefs regarding memory and aging: Separating general from personal beliefs. Aging, Neuropsychology, and Cognition 5, 264-296. doi: 10.1076/anec.5.4.264.771
- H19341