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The Seattle Longitudinal Study: Past, Present and Future

The Seattle Longitudinal Study: Past, Present and Future. K. Warner Schaie, Ph.D. Sherry L. Willis, Ph.D. University of Washington. Acknowledgements. Funded in part by Grant R13AG030995-01A1 from the National Institute on Aging

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The Seattle Longitudinal Study: Past, Present and Future

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  1. The Seattle Longitudinal Study: Past, Present and Future K. Warner Schaie, Ph.D. Sherry L. Willis, Ph.D. University of Washington

  2. Acknowledgements Funded in part by Grant R13AG030995-01A1 from the National Institute on Aging The views expressed in written conference materials or publications and by speakers and moderators do not necessarily reflect the official policies of the Department of Health and Human Services; nor does mention by trade names, commercial practices, or organizations imply endorsement by the U.S. Government.

  3. Work on the Seattle Longitudinal Study, data from which are reported here, has been supported by grants from:The National Institute of Child Health and Human Development (HD00367, 1963-1965; HD04476, 1970-1973) and the National Institute of Aging (AG00480, 1973-1979; AG03544, 1982-1986; (AG04470, 1984-1989; AG08055, 1980-2006; currently AG024102, 2005-2015 and AG027759, 2006-2008).

  4. Scientific Collaborators Elizabeth Aylward Paul Baltes Thomas Barrett Ute Bayen Hayden Bothworth Paul Borghesani Julie Boron Barbara Buech Grace Caskie Heather Chipuer Theresa Cooney Cindy de Frias Ranjana Dutta Dennis Gerstorf Michael Gilewski Judith Gonda Kathy Gribbin Ann Gruber-Baldini Christopher Hertzog Robert Intrieri Gina Jay Alfred Kaszniak Iseli Krauss Eric Labouvie Karen Lala Thomas Ledermann Tara Madhyastha Heiner Maier Scott Maitland Ann Nardi John Nesselroade Ha Nguyen Ann O’Hanlon Iris Parham Robert Plomin Samuel Popkin Margaret Quayhagen Andrew Revell Anne Richards Amy Roth Lindsay Ryan John Schulenberg Vicki Stone Charles Strother Linda Teri Nicholas Turiano Gisela Vief Faika Zanjan Elizabeth Zelinski

  5. The Seattle Longitudinal Study (SLS) Major Topics • Age Changes and Age Differences • Antecedents of Individual Differences in Aging • Cohort & Generational Differences • Interventions to Slow Cognitive Aging • Family Studies • Midlife Precursors of Cognitive Decline or Maintenance in Old Age

  6. Conceptual Model of the SLS

  7. Design of the Seattle Longitudinal Study Study Waves 1956 19631970 1977 1984 1991 1998 2005 S1T1 S1T2 S1T3 S1T4 S1T5 S1T6 S1T7 S1T8 (N = 500) (N = 303) (N = 162) (N = 130) (N = 92) (N = 71) (N = 38) (N = 26) S2T2 S2T3 S2T4 S2T5 S2T6 S2T7 S2T8 (N = 997) (N = 420) (N = 337) (N = 204) (N = 161) (N = 104) (N = 74) S3T3 S3T4 S3T5 S3T6 S3T7 S3T8 (N = 705) (N = 340) (N = 225) (N = 175) (N = 127) (N = 93) S4T4 S4T5 S4T6 S4T7 S4T8 (N = 612) (N = 294) (N = 201) (N = 136) (N = 119) S5T5 S5T6 S5T7 S5T8 (N = 628) (N = 428) (N = 266) (N = 186) S6T6 S6T7 S6T8 (N = 693) (N = 406) (N = 288) S7T7 S7T8 (N = 719) (N = 421) S = Sample; T = Time of Measurement

  8. ABILITIES • Verbal Comprehension • Spatial Orientation • Inductive Reasoning • Numeric Facility • Perceptual Speed • Verbal Memory

  9. Examples of Ability Test Items

  10. TBR Measures: Examples A. Psychomotor Speed: Composite of Two Measures: 1. Copying Paragraph “The DUKE carried a Sword.” 2. Giving Antonyms or Synonyms a. White - Black b. White - Pale B. Motor Cognitive Flexibility (Set Shifting): Composite of Measures 1. Ratio: Speed of Copying/Speed of Set Shifting (“The DUKE carried a Sword.”/”tHE duke CARRIED A sWORD” 2. Ratio: Antonyms or Synonyms Antonyms: WHITE - Black Synonyms: white - pale C. Attitudinal Flexibility: Questionnaire (T/F) “It bothers me if people can’t make up their mind.” “I would go into a theatre without buying a ticket.”

  11. Cross-Sectional Age Differences

  12. Longitudinal Age Changes

  13. Longitudinal Changes: Cognitive Styles (TBR Factors)

  14. Separating Cohort Differencesfrom AGE Changes

  15. Studying Cohort/Generational Differences: • Cohort Studies • Family Studies

  16. Cohort Studies

  17. Cohort Effects in Cognitive Styles (TBR)

  18. The Family (Generational) Study • Family Similarity in Intellectual Competence • Family Similarity in Cognitive Style • Similarity in Perception of Family Environment

  19. Generational Difference in Abilities

  20. New Family Studies • Third Generation Study • Studies of Rate of Change

  21. Rate of Cognitive Change Inductive Reasoning

  22. Rate of Cognitive ChangeVerbal Ability

  23. Cohort Differences in Cognitive Aging: Higher Levels Shallower Rates of Decline among Later-Born Cohorts Fluid Abilities:Inductive Reasoning Crystallized Abilities:Verbal Meaning 0.60 SD* 60 70 80 0.57 SD* 50 60 70 80 50 Later-born cohorts (1914–1948) Earlier-born cohorts (1883–1913) Note. Models covaried for gender, education, and presence of circulatory diseases. Gerstorf et al., 2009 Note. * p < .01

  24. Impact of Demographic Characteristics • Education • Occupation

  25. Verbal Ability and Education

  26. Verbal Ability and Occupation

  27. Cognitive Interventions to Slow Aging • Remediation or New Learning • Need for Longitudinal Data • Targets of Intervention • Transfer of Training • Maintenance of Effects

  28. Design of Training Study within SLS

  29. Results of Cognitive Training

  30. Maintenance of Cognitive Training Over 14 Years

  31. Early Detection of Risk of Dementia • Neuropsychology Studies in Community Dwelling Persons • Genetic Studies: The ApoE Gene • Cognitive Training as Early Predictor of Impairment

  32. Population Screened

  33. Training and Cognitive Impairment: 28-Year Data

  34. Correlating Autopsy Findings with Cognitive Change

  35. Current and Future Work withthe Seattle Longitudinal Study Midlife Cognitive Change and Risk of Cognitive Decline

  36. Key Questions: • Is cognitive status and change in midlife predictive of • Subsequent cognitive risk • Successful aging • Is midlife cognitive change related to brain volume and rate of change in brain volume? • What behavioral and health factors are related to cognitive change in midlife and old age?

  37. Background: • Stability of cognitive functioning is normative in midlife • Longitudinal studies indicate subgroups with cognitive decline or gain • Prospective dementia studies indicate lengthy preclinical phase beginning in late midlife • Multi-ability involvement in preclinical phase • Cognitive reserve appears to develop early and may reduce risk of cognitive impairment • Limited study of brain-behavior associations in midlife

  38. SLS Sample: • Older Cohort (b1914 - 1941) • Ability data available in midlife and old age • N = 332 • Middle Age Cohort (b1942 - 1962) • Ability data available in midlife • N = 321

  39. Development of Midlife Cognitive Risk Profile: 3 Abilities associated with Cognitive Impairment • Episodic Memory • Reliable decline, stable, or gain in midlife • Executive Functioning • Reliable decline, stable, or gain in midlife • Psychomotor Speed • Reliable decline, stable, or gain in midlife

  40. Specificity of Midlife Change Patterns: Longitudinal Data Midlife Decline on Episodic Memory Midlife Gain on Episodic Memory

  41. Long term Outcomes of Midlife Cognitive Change: Hippocampal Volume in Old Age Scan MA Scan OA Scan OA Scan MA Decliner - Old Age Gainer - Old Age Adjusted means: ICV, Memory score age 60 Borghesani et al. 2010

  42. EXAGE46 MCR Ex Int EXAGE53 EXAGE60 COMORBIDITY Ex Lin EXAGE67 APOE4 Ex Quad EXAGE74 Int ACTIVITIES TDLAGE53 DR Int TDLAGE60 GENDER TDLAGE67 DR Lin YR EDUC TDLAGE74 Midlife Predictors: Level and Rate of Change in Memory & Executive Functions (Predictors Common to Memory and Executive versus Unique to One Ability) .37** -.14 .21* -.09* -.24* .06* .37** .33** .22** .28* Willis et al., 2010

  43. Engagement in Midlife:Intellectual Activities

  44. Work Environment in Midlife:Routinization in Work Activities

  45. Societal Implications • Normative Decline of Cognitive Abilities Does not Occur until the mid-60s • Decline Does not Become Substantial until the late 70s or early 80s • Successive Generations Attain Higher Levels of Function and Show Later Decline • Normative Decline can be Slowed by Cognitive Training • High Level of Educational and Occupational Status and Stimulating Environments Support Maintenance of Cognitive Function in Old Age

  46. Implications for Clinical Practice • Cognitive Decline Prior to Age 60 May be an Indicator of Neuro- or Psychopathology • Midlife Cognitive Decline May be a Predictor of High Risk of Dementia in Old Age • Cognitive Training May be a Useful Intervention for Delaying Onset of Clinically Diagnosable Dementia

  47. Reference:Schaie, K. W. (2005). Developmental influences on adult intelligence: The Seattle Longitudinal Study. New York: Oxford University Press Web site URL: http://www.uwpsychiatry.org/sls

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