Powerpoint

INDIVIDUAL DIFFERENCES IN MEMORY FUNCTION

You must be logged in to download this document
Reviews
Shared by: sammyc2007
Stats
views:
21
downloads:
0
rating:
not rated
reviews:
0
posted:
4/13/2008
language:
English
pages:
0
INDIVIDUAL DIFFERENCES IN MEMORY FUNCTION Richard N. Jones, John N. Morris, Adrienne Rosenberg, Paul Malloy HRCA Research and Training Institute, Boston Ken Kleinman Harvard Medical School, Boston MA Jason Allaire Wayne State University, Institute of Gerontology, Detroit MI Michael Marsiske University of Florida, Institute on Aging, Gainesville ACTIVE Advanced Cognitive Training for Vital and Independent Elderly funded as a cooperative agreement with the National Institute on Aging and the National Institute of Nursing Research. Participating Institutions & Principal Investigators: Hebrew Rehabilitation Center for Aged John Morris, Ph.D. Indiana University David Smith, M.D. Johns Hopkins University George Rebok, Ph.D. Pennsylvania State University Sherry Willis, Ph.D. University of Alabama at Birmingham Karolin Ball, Ph.D. Wayne State University Michael Marsiske, Ph.D. Coordinating Center New England Research Institutes Sharon Tennstedt, Ph.D. Objectives • Characterize performance on memory task in cognitively normal older adults • Use Latent Growth Curve Modeling (LGM) techniques • Separately model initial recall and learning • Explore association of background variables and recall, learning Rey AVLT Auditory Verbal Learning Test (Lezak, 1983; Rey, 1964) • 15 unrelated word list, read at 2 sec. intervals • Participants asked to recall words • List re-read four times • Repeated recall trials • Intrusion list • Delayed Recall and Recognition task Latent Growth Modeling • Psychometric approach to repeated measures data • Individual differences in intercept and slope over time captured in latent variables (initial recall, learning) • Certain parameterizations equivalent to random coefficient models, mixed models, hierarchical linear models Methods: Participants •HRCA –elder housing •IU –community centers •UAB –drivers licenses, ID cards –eye clinic attendees •WSU –community organizations –urban residential settings •JHU –in and around urban geriatric center –urban senior high-rise housing –suburban retirement community –urban & rural medical centers •PSU – PACE enrollees Eligibility and Exclusion Criteria • Eligibility Criteria – age  65 – living in non-institutional setting – available for duration of trial • Exclusion Criteria – – – – – – – – – – vision impairment hearing loss impaired communication reported disability Alzheimer’s dx or MMSE<23 cancer dx w/ limited life expectancy current chemo/radiation CVA in previous 12 months in other cognitive training high level depressive sx (CESD>16) Background Variables • Demographics – – – – Age Sex Ethnicity Education • Cognitive Functioning – General (MMSE) – Reasoning ability (STAMAT) – Vocabulary (Kit) – Digit symbol substitution (WAIS) Table 1. Subject characteristics, ACTIVE pilot (n=169). mean (±s.d.) or valid frequency Characteristic n percent Total 169 100 Men 29 17 Women 140 83 Age group 65-74 years 96 58 75-84 59 35 85 and older 12 7 Ethnicity White, non-Hispanic 67 40 Black or African-American 94 56 Other 8 5 Level of education less than 12 years/GED 54 32 12 years/GED 54 32 more than 12/GED 61 36 SF-36 Physical SF-36 Mental Cognitive functioning Reasoning (Word Series) Digit symbol (DSST) Vocabulary (words) MMSE 149 149 167 169 169 169 43 (±10) 54 (±8) 7 (±5) 35 (±15) 6 (±3) 27 (±2) 15 12 words recalled 9 6 3 0 1 2 3 AV LT trial 4 5 LGM Parameterization without Background Variables yi =  + i + i i =  + i  0   0   0   0   0     =     1 1 1 1 1 * 0    0 1  2  VAR() = =  0   3 0  4  0   0 * 0 0 0 0 0 * 0 0 0 0 0 * 0 0  0  0  0 *   *   *   VAR()  = =    *   * *  Alternative Functional Forms of AVLT Growth Linear     =     1 1 1 1 1 0  1  2  3 4  Quadratic     =     1 1 1 1 1 0 0   1 1   2 4   3 6  4 16   Logarithmic (ln(t+1))  1 0.000     1 0.693     1 1.099  =   1 1.386     1 1.609  Logarithmic Growth Function Estimated final time score     =     Transformed metric     =     1 1 1 1 1 0.000   0.693   1.099   1.386   *  42 = 1.494 (0.033) 1.609-1.494 0.033 = 3.48 1 1 1 1 1 0.000/1.494   0.693/1.494   1.099/1.494   1.386/1.494   *  1 1 1 1 1 0.000   0.464   0.736   0.928   *  or     =     Table 2. Fitted AVLT performance growth model, ACTIVE Pilot (n=169). parameter time scores 12 22 32 42 52 Growth factor means 1 (initial recall) 2 (learning) Growth factor variance/covariance 11 (initial recall) 22 (learning) 21 (covariance of growth factors) Observed variable (AVLT) residual variance 11 22 33 44 55 Model chi-square (df), P CFI RMSEA 1 2 estimate (se)1 0.00 2 0.46 0.74 0.93 1.00 (0.02) 5.53 (0.13) 5.21 (0.18) 2.58 (0.34) 4.43 (0.61) 0.00 0.33 (0.18) 1.33 (0.17) 0.86 (0.13) 0.93 (0.17) 1.99 (0.27) 9.73 (10), P=0.47 1.00 0.03 - standard error - entries in italic typeface are not estimated, but fixed equal to the shown value. 16 14 12 10 8 6 4 2 0 0 Model implied trajectories 1 2 3 4 5 6 LGM Parameterization with Background Variables yi =  + i + i i =  + x + i 0   0    0   0 0   *  *         =     1 1 1 1 1 * 0.000     0 0.464   0.736  VAR() = =  0   0.928  0  0 *    0 * 0 0 0 0 0 * 0 0 0 0 0 * 0 0  0  0  0 *  *   *   *  * * * * * * * *     VAR() = =  0 * * * * * * * * *   Table 3. Association of participant characteristics and AVLT growth model factors. ACTIVE Pilot (n=169). initial recall standardized effect learning standardized effect characteristic Women Age group 75-84 85 and older Black or African-American less than 12 years/GED2 Mental/Physical Health SF-36 Physical† SF-36 Mental† Reasoning (Word Series) † Digit Symbol† Vocabulary (words) † General cognition (MMSE) † Model chi-square (df), P CFI RMSEA est (se)1 est (se) 1 0.77 (0.34) -0.09 (0.29) -0.98 (0.55) -1.12 (0.30) 0.01 (0.31) 0.01 (0.01) 0.01 (0.02) 0.00 (0.04) 0.01 (0.01) 0.06 (0.05) -0.05 (0.07) 0.50* -0.06 -0.63 -0.73*** 0.01 0.06 0.04 -0.01 0.08 0.14 -0.07 0.67 (0.40) 0.35 -0.42 (0.34) -0.86 (0.66) 0.84 (0.35) 0.33 (0.37) 0.01 (0.02) -0.02 (0.02) 0.09 (0.05) 0.03 (0.01) 0.07 (0.06) 0.32 (0.08) -0.21 -0.44 0.42* 0.16 0.04 -0.08 0.20 0.21* 0.12 0.34*** 57.14 (43), P=0.07 0.989 0.044 * P<0.05, ** P<0.01, *** P<0.001 † - effect size estimates shown standardized to respect to mean an variance of dependent and background variable; all other (dichotomous) covariates standardized with respect to dependent variable only. 1 - estimate (est) and standard error (se) 2 - general equivalency degree Table 3. Association of participant characteristics and AVLT growth model factors. ACTIVE Pilot (n=169). initial recall standardized effect learning standardized effect characteristic Women est (se)1 est (se) 1 0.77 (0.34) 0.50* 0.67 (0.40) 0.35 * P<0.05, ** P<0.01, *** P<0.001 † - effect size estimates shown standardized to respect to mean an variance of dependent and background variable; all other (dichotomous) covariates standardized with respect to dependent variable only. 1 - estimate (est) and standard error (se) 2 - general equivalency degree Table 3. Association of participant characteristics and AVLT growth model factors. ACTIVE Pilot (n=169). initial recall standardized effect learning standardized effect characteristic Age group 75-84 85 and older est (se)1 est (se) 1 -0.09 (0.29) -0.98 (0.55) -0.06 -0.63 -0.42 (0.34) -0.21 -0.86 (0.66) -0.44 * P<0.05, ** P<0.01, *** P<0.001 † - effect size estimates shown standardized to respect to mean an variance of dependent and background variable; all other (dichotomous) covariates standardized with respect to dependent variable only. 1 - estimate (est) and standard error (se) 2 - general equivalency degree Table 3. Association of participant characteristics and AVLT growth model factors. ACTIVE Pilot (n=169). initial recall standardized effect learning standardized effect characteristic Black or African-American est (se)1 est (se) 1 -1.12 (0.30) -0.73*** 0.84 (0.35) 0.42* * P<0.05, ** P<0.01, *** P<0.001 † - effect size estimates shown standardized to respect to mean an variance of dependent and background variable; all other (dichotomous) covariates standardized with respect to dependent variable only. 1 - estimate (est) and standard error (se) 2 - general equivalency degree 15 12 AVLT recall (words) 9 6 3 0 0 1 2 3 trial Black/African-American, Not Hispanic White and other ethnicity groups 4 5 6 Table 3. Association of participant characteristics and AVLT growth model factors. ACTIVE Pilot (n=169). initial recall standardized effect learning standardized effect characteristic less than 12 years/GED2 est (se)1 est (se) 1 0.01 (0.31) 0.01 0.33 (0.37) 0.16 * P<0.05, ** P<0.01, *** P<0.001 † - effect size estimates shown standardized to respect to mean an variance of dependent and background variable; all other (dichotomous) covariates standardized with respect to dependent variable only. 1 - estimate (est) and standard error (se) 2 - general equivalency degree Table 3. Association of participant characteristics and AVLT growth model factors. ACTIVE Pilot (n=169). initial recall standardized effect learning standardized effect characteristic Mental/Physical Health SF-36 Physical† SF-36 Mental† est (se)1 est (se) 1 0.01 (0.01) 0.01 (0.02) 0.06 0.04 0.01 (0.02) 0.04 -0.02 (0.02) -0.08 * P<0.05, ** P<0.01, *** P<0.001 † - effect size estimates shown standardized to respect to mean an variance of dependent and background variable; all other (dichotomous) covariates standardized with respect to dependent variable only. 1 - estimate (est) and standard error (se) 2 - general equivalency degree Table 3. Association of participant characteristics and AVLT growth model factors. ACTIVE Pilot (n=169). initial recall standardized effect learning standardized effect characteristic Reasoning (Word Series) † est (se)1 est (se) 1 0.00 (0.04) -0.01 0.09 (0.05) 0.20 * P<0.05, ** P<0.01, *** P<0.001 † - effect size estimates shown standardized to respect to mean an variance of dependent and background variable; all other (dichotomous) covariates standardized with respect to dependent variable only. 1 - estimate (est) and standard error (se) 2 - general equivalency degree Table 3. Association of participant characteristics and AVLT growth model factors. ACTIVE Pilot (n=169). initial recall standardized effect learning standardized effect characteristic Digit Symbol† est (se)1 est (se) 1 0.01 (0.01) 0.08 0.03 (0.01) 0.21* * P<0.05, ** P<0.01, *** P<0.001 † - effect size estimates shown standardized to respect to mean an variance of dependent and background variable; all other (dichotomous) covariates standardized with respect to dependent variable only. 1 - estimate (est) and standard error (se) 2 - general equivalency degree Table 3. Association of participant characteristics and AVLT growth model factors. ACTIVE Pilot (n=169). initial recall standardized effect learning standardized effect characteristic Vocabulary (words) † est (se)1 est (se) 1 0.06 (0.05) 0.14 0.07 (0.06) 0.12 * P<0.05, ** P<0.01, *** P<0.001 † - effect size estimates shown standardized to respect to mean an variance of dependent and background variable; all other (dichotomous) covariates standardized with respect to dependent variable only. 1 - estimate (est) and standard error (se) 2 - general equivalency degree Table 3. Association of participant characteristics and AVLT growth model factors. ACTIVE Pilot (n=169). initial recall standardized effect learning standardized effect characteristic est (se)1 est (se) 1 General cognition (MMSE) † -0.05 (0.07) -0.07 0.32 (0.08) 0.34*** * P<0.05, ** P<0.01, *** P<0.001 † - effect size estimates shown standardized to respect to mean an variance of dependent and background variable; all other (dichotomous) covariates standardized with respect to dependent variable only. 1 - estimate (est) and standard error (se) 2 - general equivalency degree Conclusion • LGM provides a comprehensible model of initial recall and learning performance on the AVLT task • Alternative summary measures are suggested by considering effect of background variables on initial recall and rate learning LGM Alternative Parameterization without Background Variables yi =  + i + i i =  + i   =*   1    2=1  2=1     2=1  =   2 1       =     1 1 1 1 1 * 0    0 1  2  VAR() = =  0   3 0   4 0 0 * 0 0 0 0 0 * 0 0 0 0 0 * 0 0  0  0  0 *   0   *   VAR()  = =    *   * *  Word List Used in ACTIVE • • • • • • • Drum Curtain Bell Coffee School Parent Moon • • • • • • • • Garden Hat Farmer Nose Turkey Color House River
Related docs
INDIVIDUAL DIFFERENCES IN MEMORY FUNCTION
Views: 21  |  Downloads: 0
Individual Differences
Views: 22  |  Downloads: 0
Attachment Individual Differences
Views: 30  |  Downloads: 0
individual's Worksheet
Views: 2  |  Downloads: 0
By individual
Views: 69  |  Downloads: 1
RELEASE (INDIVIDUAL)
Views: 590  |  Downloads: 26
Individual Tutorial Preperation
Views: 1  |  Downloads: 0
INDIVIDUAL INSTRUCTION AND REVIEW OF
Views: 4  |  Downloads: 0
Universal individual template
Views: 4  |  Downloads: 0
INDIVIDUAL MENU ITEMS
Views: 2  |  Downloads: 0
INDIVIDUAL CURRICULUM WORKSHEET
Views: 2  |  Downloads: 0
Other docs by sammyc2007
top 10 secrets for tree trimming
Views: 23  |  Downloads: 2
The mantel is a favourite place to decorate
Views: 16  |  Downloads: 0
Some tips for doing holiday decorating quickly
Views: 17  |  Downloads: 0
Simple Pine Cone Ornaments
Views: 14  |  Downloads: 0
Polish Christmas decorations
Views: 12  |  Downloads: 0
Last Minute Merry Christmas Decorating Tips
Views: 10  |  Downloads: 0
Hot Tips For Cool Holiday Decor
Views: 14  |  Downloads: 0