Impact of Challenging Engagement on Cognition in Older Adults
NCT ID: NCT03962439
Last Updated: 2025-06-19
Study Results
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View full resultsBasic Information
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TERMINATED
NA
50 participants
INTERVENTIONAL
2019-06-01
2020-02-06
Brief Summary
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Detailed Description
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Randomization Procedure and Statistical Analyses:
Potential participants will complete an initial eligibility form. The investigators will contact those who are deemed eligible, will follow up with a TICS cognitive phone interview screening, and provide the link to an on-line demographic enrollment questionnaire.
The investigators will invite subjects who pass these screens to attend an informational session. At these sessions, project RAs will consent potential participants and have them complete the MRI screening form. The investigators will schedule consenting participants for cognitive testing and MRI scans (if applicable).
During the 3-week period set aside for cognitive and MRI testing, subjects will be assigned among the three treatment arms using a centrally created randomization scheme. Because baseline data for all potential participants will be available at the time of randomization, the rerandomization method of Morgan and Rubin (2012 Annals of Statistics 40:1263) will be utilized, which can achieve improved covariate balance in this setting. The investigators will generate a series of randomizations and evaluate them for balance on age, education, and sex, designating balance in terms of the MANOVA F statistic comparing the distributions of the covariates across the treatment groups. Once a randomization that meets this criterion is identified, it will be applied to the eligible participants.
Preliminary Analyses. In initial analyses, we will summarize categorical variables by proportions and continuous variables by means and quantiles. We will graph continuous variables and assess them for skewness, transforming if necessary (for example by logs or square roots) to render them more nearly normally distributed. We will explore relationships among variables by examining scatter plots and correlation matrices. We will conduct all analyses in R (version 3.3.2 or later) or SAS (version 9.4 or later).
Analysis of Primary Outcome Variables. The primary cognitive outcome endpoint will be a composite, scalar episodic memory score, as described in earlier research from the SYNAPSE project (5). This measure will exhibit substantial between-subject variability, in that subjects who give high scores at baseline are likely to give high scores at follow-up as well. To account for this, in primary analyses we will adjust for baseline levels by analysis of covariance - i.e., including baseline values together with treatment arm in a regression model for the post-treatment outcome. Alternatively (and equivalently), we can analyze the outcome variable in a mixed model, evaluating a treatment effect by estimating a time-by-treatment interaction. We will moreover conduct mixed-model analyses including the intermediate (6-week, mid-treatment) and long-term (1-year) values of the cognitive outcomes together with the end-of-treatment (12-week) outcome. As a secondary analysis to further elucidate the magnitude and timing of treatment effects, we will seek to create parsimonious models of this outcome as a function of time, treatment arm, stratification factors (center, age, sex, education) and potentially other factors measured at baseline. The primary brain outcome will be a vector measure of fMRI activation in four brain regions of interest, as described above and in previous work from SYNAPSE (7). This measure is also likely to exhibit substantial between-subject variability. We will again analyze the outcome variable in a mixed model, evaluating the treatment effect by estimating a time-by-treatment interaction, and conduct a secondary analysis where we model activation in the four regions as functions of time, treatment arm, stratification factors (center, age, sex, education) and potentially other factors measured at baseline.
Analysis of Secondary Outcomes. Dose-response. We anticipate that there will be a dose-response relationship, with the control arms having the lowest values, high-engagement arms, the highest values, and moderate-engagement arms having values in between. We will construct mixed models to estimate the sizes of these effects, and to determine whether effects are linear or nonlinear in the degree of engagement.
Subgroup Analyses. We will conduct a number of analyses aimed at estimating treatment effects within strata of age (younger or older than age 72), gender (male or female), education (greater or less than 14 years), and center (Dallas or Hamburg). We expect each of these strata to comprise roughly half of the subjects, except that our sample will likely be 65% female, reflecting the sex imbalance in the elderly. We will replicate our main analyses in each of the stratum subgroups, and additionally test for interactions.
Incomplete data. A major concern in any follow-up study is that there will be substantial dropout, eroding trial power. As indicated above, we expect no more than 15% to 20% of subjects to fail to complete the followup evaluation schedule. This is not a large fraction of dropout, and we have provided for its effects on power in our sample-size calculations. A second concern is that dropouts may differ systematically from completers, potentially introducing bias into estimated treatment contrasts. Our primary approach to analysis is to use mixed models, which give correct results as long as the dropout mechanism is missing at random - i.e., the probability of dropout, given the potentially missing observation and all prior observed data, does not depend on the potentially missing observation. Moreover, as long as the dropout is roughly balanced between treatment arms, it is unlikely to have a substantial biasing effect on estimated treatment effects, even if the dropout mechanism is not missing at random. In any event, if dropout is excessive or is unbalanced between arms, or there is concern that it is not missing at random, we are prepared to conduct analyses for sensitivity to nonignorable (i.e., biasing) dropout using general methods that Dr. Heitjan has developed.
Latent Factor Modeling. As a further form of secondary analysis, we will analyze the cognitive outcome variables simultaneously using a latent-variable approach. With this method, one models the several cognitive variables at each measurement time as being statistically independent given an unobserved, subject-specific latent variable. One accommodates serial correlation within subjects by estimating correlation of the latent variable within subjects over time. The approach evaluates treatment and time effects by modeling the mean of the latent variable as a function of the predictors, and each subject's estimated latent trajectory serves as a summary of his outcome status. We will also apply such models to the four-variate fMRI primary outcome.
Neuroimaging Analyses. We will test for a Group x Time interaction on the primary measure of modulation capacity. For the large-scale brain network analyses, we will utilize measures of connectivity between major nodes within the networks as indicators to develop constructs for the executive fronto-parietal network, salience network, and default network at each interval of data collection. To measure increases in hippocampal volume, we will segment the left and right hippocampus into four regions of interest (subiculum, CA1 and CA2/CA3/CA4, dentate gyrus, and entorhinal cortex) for all individual high-resolution MRI images. This division into 4 regions of interest (ROI) will ensure sufficient reliability and reproducibility of the subfield distinctions. These ROIs will be entered into the same Group x Time ANOVA as in the fMRI analyses.
Conditions
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Study Design
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RANDOMIZED
PARALLEL
PREVENTION
NONE
Study Groups
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High-Demand Photography
A structured, high-demand photography course targeting 210 hours of engagement over 16 weeks.
High-Demand Photography
The high-demand photography group will receive 2.5 hours of instruction, twice a week, in a structured high-demand digital photography course plus 10 hours per week working on a special project at the research site without any formal instruction.
Moderate-Demand Photography
A structured, moderate-demand photography course targeting 210 hours of engagement over 16 weeks.
Moderate-Demand Photography
The moderate-demand photography group will receive 2.5 hours of instruction, twice a week, in a structured moderate-demand digital photography course plus 10 hours per week working on a special project at the research site without any formal instruction.
At-Home Engagement Group
Participation, alone at home, in tasks that are relatively low in intellectual engagement.
At-Home Engagement
The placebo control group will engage, alone at home, in tasks that are relatively low in intellectual engagement such as listening to music and radio or completing work-books that rely primarily on activation of knowledge.
Interventions
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High-Demand Photography
The high-demand photography group will receive 2.5 hours of instruction, twice a week, in a structured high-demand digital photography course plus 10 hours per week working on a special project at the research site without any formal instruction.
Moderate-Demand Photography
The moderate-demand photography group will receive 2.5 hours of instruction, twice a week, in a structured moderate-demand digital photography course plus 10 hours per week working on a special project at the research site without any formal instruction.
At-Home Engagement
The placebo control group will engage, alone at home, in tasks that are relatively low in intellectual engagement such as listening to music and radio or completing work-books that rely primarily on activation of knowledge.
Other Intervention Names
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Eligibility Criteria
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Inclusion Criteria
* At least 35 percent of participants will be men, and at least 15 percent will be minorities.
* 10th grade education or higher is required
* Fluent in English
* Alzheimer's Disease Assessment Scale-Cognitive (ADAS-COG) score of zero (a perfect score).
* A score of 18 or higher on the Barthel Index of Daily Functioning.
* Right-handed for magnetic resonance imaging (MRI) scanning.
Exclusion Criteria
* Montreal Cognitive Assessment (MOCA) score lower than 26
* Depression based on Center for Epidemiologic Studies Depression Scale (CESD) screening (a score of 27 or greater)
* Major psychiatric or neurological disorder
* Chemotherapy presently or in past year
* Coronary bypass presently or in past year
* History of major substance abuse
* History of central nervous system disease or brain injury
* Corrected vision poorer than 20/40 on Snellen Eye Chart after correction
* Recreational drug use in past six months
* Conditions which would contra-indicate MRI: Prior surgeries and/or implant of pacemakers, pacemaker wires, artificial heart valve, brain aneurysm surgery, middle ear implant, non-removable hearing aid or jewelry, braces or extensive dental work, cataract surgery or lens implant, implanted mechanical or electrical device, artificial limb or joint; foreign metallic objects in the body such as bullets, ball-bullets or ball bearings (BB's), shrapnel, or metalwork fragments; pregnancy, vertigo, claustrophobia, left handedness, Body Mass Index (BMI) greater than 35, uncontrollable shaking, or inability to lie still for one hour.
* More than minimal experience with photography during the last 12 years
* Work at a structured job/volunteer more than 10 hours per week
* Computer experience that involves more than internet surfing and email
* Use of electronic devices to shop, pay bills, bank, and perform other higher-order functions
* Extensive experience with digital photography or post processing photo programs
60 Years
ALL
Yes
Sponsors
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University of Texas Southwestern Medical Center
OTHER
Southern Methodist University
OTHER
National Institute on Aging (NIA)
NIH
The University of Texas at Dallas
OTHER
Responsible Party
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Principal Investigators
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Denise Park, PhD
Role: PRINCIPAL_INVESTIGATOR
University of Texas at Dallas
Locations
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The engAGE Center: A Community Based Engagement Environment
Irving, Texas, United States
Countries
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References
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Weintraub S, Dikmen SS, Heaton RK, Tulsky DS, Zelazo PD, Bauer PJ, Carlozzi NE, Slotkin J, Blitz D, Wallner-Allen K, Fox NA, Beaumont JL, Mungas D, Nowinski CJ, Richler J, Deocampo JA, Anderson JE, Manly JJ, Borosh B, Havlik R, Conway K, Edwards E, Freund L, King JW, Moy C, Witt E, Gershon RC. Cognition assessment using the NIH Toolbox. Neurology. 2013 Mar 12;80(11 Suppl 3):S54-64. doi: 10.1212/WNL.0b013e3182872ded.
Chan MY, Haber S, Drew LM, Park DC. Training Older Adults to Use Tablet Computers: Does It Enhance Cognitive Function? Gerontologist. 2016 Jun;56(3):475-84. doi: 10.1093/geront/gnu057. Epub 2014 Jun 13.
Park DC, Lodi-Smith J, Drew L, Haber S, Hebrank A, Bischof GN, Aamodt W. The impact of sustained engagement on cognitive function in older adults: the Synapse Project. Psychol Sci. 2014 Jan;25(1):103-12. doi: 10.1177/0956797613499592. Epub 2013 Nov 8.
Chan MY, Park DC, Savalia NK, Petersen SE, Wig GS. Decreased segregation of brain systems across the healthy adult lifespan. Proc Natl Acad Sci U S A. 2014 Nov 18;111(46):E4997-5006. doi: 10.1073/pnas.1415122111. Epub 2014 Nov 3.
Provided Documents
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Document Type: Study Protocol and Statistical Analysis Plan
Document Type: Informed Consent Form
Other Identifiers
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STU 072018-048
Identifier Type: -
Identifier Source: org_study_id
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