Monitoring Cognitive Functioning: National Survey of Midlife in the United States (MIDUS)

Similar documents
The Mediating Role of Sleep on the Associations between Childhood Maltreatment Types and Later Life Health Conditions

Overview. Case #1 4/20/2012. Neuropsychological assessment of older adults: what, when and why?

Epilepsy and Neuropsychology

NIH Toolbox. Scoring and Interpretation Guide. September 18, 2012

Reducing Non Response in Longitudinal Studies: What Can We Do Instead of Increasing Monetary Incentives?

EXAMINING DIFFERENTIATION OF SELF AS A MEDIATOR IN THE BIOBEHAVIORAL FAMILY MODEL

The ABCs of Dementia Diagnosis

ADHD and Adverse Health Outcomes in Adults

Epidemiology of Chronic Fatigue Syndrome (CFS)

WHOLE HEALTH: CHANGE THE CONVERSATION. Neuroplasticity and Sleep Clinical Tool

Welcome to todays Webinar

Physical Activity, Aging and Well-Being

Neurocognitive Impairments in HIV: Natural History, Impacts on Everyday Functioning and Promising Interventions

Cognitive Screening in Risk Assessment. Geoffrey Tremont, Ph.D. Rhode Island Hospital & Alpert Medical School of Brown University.

Memory. Information Processing Approach

Neuropsychological Evaluation of

Psychological factors that influence fall risk: implications for prevention

CANCER-RELATED BRAIN FOG. Angela Boudreau, RN, MN, CON(C) Odette Cancer Centre, Sunnybrook Health Sciences Centre

COGNITIVE ALTERATIONS IN CHRONIC KIDNEY DISEASE K K L E E

Cognitive Aging in Parents of Children with Disabilities

After the Diagnosis: Rehabilitation & Support Options for Mild Dementia

21/05/2018. Today s webinar will answer. Presented by: Valorie O Keefe Consultant Psychologist

An Overview of Dementia Capable Care for People with ID Part 1 Aging 101. Music only. Course # ID

M P---- Ph.D. Clinical Psychologist / Neuropsychologist

Pretreatment Cognitive Function in Women with Newly Diagnosed Breast Cancer

Behavior Rating Inventory of Executive Function BRIEF. Interpretive Report. Developed by SAMPLE

Exploration of a weighed cognitive composite score for measuring decline in amnestic MCI

BIOPSYCHOSOCIAL APPROACHES OF MEASURING STRESS. Tina Savla Associate Professor Center for Gerontology Department of Human Development Virginia Tech

Process of a neuropsychological assessment

October 2, Memory II. 8 The Human Amnesic Syndrome. 9 Recent/Remote Distinction. 11 Frontal/Executive Contributions to Memory

NO LOWER COGNITIVE FUNCTIONING IN OLDER ADULTS WITH ATTENTION-DEFICIT/HYPERACTIVITY DISORDER

Translational Science in the Behavioral Domain: More interventions please... but enough with the efficacy! Paul A. Estabrooks, PhD

Preventing type 2 diabetes the NDH Care Call Service

Psych 136S Review Questions, Summer 2015

WHI Memory Study (WHIMS) Investigator Data Release Data Preparation Guide April 2014

Representations and Adjustment Index (RADIX) Catherine Quinn, Robin Morris and Linda Clare

CAN T WE ALL JUST GET ALONG?

Tests/subtests that may capture this skill a,b. How it might look in school or in the home c Response inhibition

Patient: Shawn Baker March 06, 2018

The interpretation of non-organic memory symptoms in younger people. Dr Jeremy Isaacs Consultant Neurologist St George s Hospital

Dementia Facts and Resources Dementia Warning Signs Getting a Diagnosis Dementia Communication Tips Dementia Risk Reduction.

Overview of the TILDA Study

The Phenomena of Movement pg 3. Physical Fitness and Adolescence pg 4. Fitness as a Lifestyle pg 5. Physical Education and the Student pg 6

Diurnal Cortisol Rhythms: Social Determinants and Role as a Risk, State or Scar Marker for Major Depressive Disorder in Youth

DEMENTIA, THE BRAIN AND HOW IT WORKS AND WHY YOU MATTER

The Use of Brief Assessment Batteries in Multiple Sclerosis. History of Cognitive Studies in MS

AD Prevention Trials: An Industry Perspective

Socioeconomic status (SES) is one of the most powerful

2018 Executive Summary

Purpose in life and cognitive functioning in adulthood

CRITICALLY APPRAISED PAPER

Why (an overview of) twin research?

Manage Diabetes with Small Changes

Structural Equation Modeling of Health Literacy and Medication Adherence by Older Asthmatics

Brain TLC: Supporting Brain Health with Cognitive Rehabilitation. Kristin Knight, MS, CCC-SLP Haley Landau, MS, CCC-SLP

TRAUMA AND TOXIC STRESS IN THE PEDIATRIC PATIENT:

Session 21: Heart Health

Health & Wellness Coach Certifying Examination CONTENT OUTLINE

Understanding and improving attention and information processing in MS

An Aging Population Why This Matters to Public Health. Health Data On the Older Adult Population. Opportunities For Public Health

How does exercise benefit people at risk for dementia?

Reliability and Validity of the Divided

Monthly WellPATH Spotlight November 2016: Diabetes

What is dementia? What is dementia?

Obesity. Picture on. This is the era of the expanding waistline.

ADHD: MORE THAN ATTENTION PROBLEM JULIE STECK, PH.D., HSPP CRG/CHILDREN S RESOURCE GROUP

Let's Get Healthy!" --Engaging Schools, Community and the Workplace in Research and Health Promotion

Linking cognition and frailty in middle and old age: metabolic syndrome matters

MEDICAL LIFESTYLE INTERVENTIONS FOR BRAIN HEALTH

Trail making test A 2,3. Memory Logical memory Story A delayed recall 4,5. Rey auditory verbal learning test (RAVLT) 2,6

CHAPTER 5 NEUROPSYCHOLOGICAL PROFILE OF ALZHEIMER S DISEASE

Relationship of Behavioral Compensation and Cognitive Reserve in Survivors of Primary Brain Tumors

Anxiety, Depression, and Dementia/Alzheimer Disease: What are the Links?

Measurement Invariance (MI): a general overview

Autonomic nervous system, inflammation and preclinical carotid atherosclerosis in depressed subjects with coronary risk factors

Positive Psychology. Barbara Cherry CSUF, Department of Psychology Gerontology Academic Program OLLI Retirement Boot Camp

Health First. New Health Bucks Program MANATEE YOURCHOICE HEALTH PLAN

Test Assessment Description Ref. Global Deterioration Rating Scale Dementia severity Rating scale of dementia stages (2) (4) delayed recognition

Worried about your memory?

Executive Functions and ADHD

Richard C. Gershon, PhD.

Memory loss in dementia

Session 21 Leader Guide: Heart Health

Know Your Number Aggregate Report Single Analysis Compared to National Averages

Running head: CPPS REVIEW 1

ABOUT TYPE 2 DIABETES

Understanding Symptoms, Causes, and Risks for Alzheimer s Disease

Awareness and understanding of dementia in New Zealand

Optimizing Health While Aging with HIV

Session 14: Take Charge of Your Lifestyle

Pooling Subjective Confidence Intervals

Don t Miss A Stroke Learn the Warning Signs of Stroke F.A.S.T. Don t Wait to Call

Author's response to reviews

NEW GUIDELINES FOR CHOLESTEROL

Risk Factors Associated with Cognitive Aging. Andrea Z. LaCroix, PhD. for the IOM Committee on the Public Health Dimensions of Cognitive Aging

Chelsea Murphy MS, NCC. Kennedy Health Systems

MEDICAL ASPECTS OF TRAUMA

Forgetfulness: Knowing When to Ask for Help

Healthy Today, Frail Tomorrow

Heart Health. Team Member Workbook Session 1 LEARN IDENTIFY ACT. Learn about HTHU Level 3 and the point system

Transcription:

Monitoring Cognitive Functioning: National Survey of Midlife in the United States (MIDUS) IOM Committee on Public Health Dimensions of Cognitive Aging Panel 3: Epidemiology and Surveillance April 10, 2014 Margie E. Lachman, Ph.D. Psychology Department Lifespan Development Lab, Brandeis University http://www.brandeis.edu/projects/lifespan/ Acknowledge Support from National Institute on Aging

Overview MIDUS Brain Health as Lifelong Process BTACT Objective Cognitive Measures Self-Assessments- Subjective Ratings Costs of Cognitive Aging Research Gaps and Recommendations

Midlife in the United States (MIDUS) A National Study of Health and Well-Being Time 1: 1994-96; Ages 24-75 (N = 7,100) Time 2: 2004-06 Ages 32-84 (N = 4,955) Time 3: In the field cognition on small subsample MIDMAC- MacArthur Foundation Research Network on Successful Midlife Development Longitudinal retention rate, adjusted for mortality = 75% includes cognition National Institute on Aging- University of Wisconsin Survey Research Center includes cognition National Institute on Aging- University of Wisconsin Survey Research Center Data available through UM ICPSR http://midus.wisc.edu/

Goals: MIDUS Cognitive Assessment- Brief Test of Adult Cognition by Telephone (BTACT) Brief (15-20 minutes) Representation of key abilities in cognitive aging (not a dementia screener) Telephone administration (can also be in person or internet) Reliable and valid Appropriate for diverse sample (e.g., wide age range, different educational levels) Monitor over time Sensitive to changes with aging

NIH Toolbox Attention Episodic Memory Executive Function-Cognitive Flexibility Executive Function-Inhibitory Control Language Cognitive Functions Included in U.S. National Institutes of Health (NIH) Toolbox and Corresponding BTACT Subtest Processing Speed Working Memory BTACT Test Attention Switch (Stop and Go Switch Task) Word List Recall (Immediate and Delayed) Category Fluency Stop and Go Switch Task Category Fluency Backward Counting (30-SACT) Digits Backward ----- Number Series NIH Toolbox for the Assessment of Behavioral and Neurological Function (Gershon et al., 2010)

MIDUS Brief Test of Adult Cognition by Telephone (BTACT) (Lachman & Tun, 2008; Lachman et al. 2014) TASK THEORETICAL CONSTRUCT(S) SAMPLE ITEMS Word List Recall (immediate and delayed) Backward Digit Span Category Verbal Fluency Episodic verbal memory 15 words (e.g., flower, truck, school) Working memory Spans from 2 to 8 (e.g., 7, 2, 5, 3 = 3, 5, 2, 7) Executive function, semantic memory List as many animals as possible in 60 seconds Number Series Inductive reasoning 5 series of 5 numbers (e.g., 35, 30, 25, 20, 15 correct answer = 10) Backwards Counting (30-SACT) Attention- Switching, Stop and Go Switch Task Processing speed Reaction time, attention, task switching, inhibitory control Counting backward quickly from 100 in 30 seconds Normal condition: Green = Go; Red = Stop Reverse condition: Green = Stop; Red = Go With mixed and switched trials

Better Age Differences on Cognitive Tests Significant differences in mean scores by age decade 0.6 0.4 Worse Mean Z-score 0.2 0-0.2-0.4-0.6-0.8-1 Backward Counting Category Fluency Word List Delayed Word List Immediate Attention Switch Number Series Digits Backward 30s 40s 50s 60s 70s Age Group 32-39 40-49 50-59 60-69 70-79 80-84 Age Group 80s MIDUS II (Lachman & Tun, 2008)

BTACT- Factor Structure MIDUS II (Lachman et al., 2010; 2014) r =.42* Episodic Memory r =.79** Executive Functioning α =.71 Immediate Word List Recall Delayed Word List Recall Category Fluency Digits Backward Number Series Backward Counting Attention Switch Confirmatory Factor Solution χ 2 (13) = 266.68, p <.001; RMSEA =.08; CFI =.96; GFI =.98; AGFI =.95 ** p <.001, * p<.05

Cognitive Functioning By Age BTACT Cognitive Factors by Age (Lachman et al., 2014) Z-scores 1.5 1 0.5 0-0.5-1 Episodic Memory Executive Functioning Fitted Trendline Episodic Memory Fitted Trendline Executive Functioning -1.5 30 35 40 45 50 55 60 65 70 75 80 85 Age

Self-Assessments

Self-Reports of Cognition CDC/BRFSS Cognitive Impairment Module Ages over 60 12.7% reported increased confusion or memory loss 35.2% of them experienced functional difficulties Swedish Twins Registry Ages over 60 Worried Well - 39% MIDUS Ages 32-85

Memory Self-Assessments in the MIDUS Temporal Comparison How would you rate your memory today compared to five years ago: Social Comparison Compared to other people your age, how would you rate your memory: Improved a lot (1%) Improved a little (5%) Stayed the same (52%) Gotten a little worse (38%) Gotten a lot worse (4%) 42% some decline Excellent (12%) Good (42%) Average (34%) Fair (10%) Poor (2%) 54% better than average

Are Objective and Subjective Assessments Related? Subjective Assessments not significantly related to objective performance or to age Subjective Assessments are related to neuroticism, depression, negative affect Can they give us meaningful information about early declines?

Accuracy of Self-Rating 53% SUBJECTIVE MEMORY LOW HIGH LOW LOW-ACCURATE OVERESTIMATION OBJECTIVE MEMORY N = 846 (25.24%) N = 930 (27.74%) HIGH UNDERESTIMATION HIGH-ACCURATE N = 632 (18.85%) N = 944 (28.16%)

Survey of 26 Everyday Life Problems: Memory Problems Frequent and Stressful AGES 25-39 AGES 40-59 AGES 60-75 Reported Frequency Rank Reported Stress Rank Getting everything done # 1 Children # 2 Memory # 3 Memory # 7 Getting everything done # 1 Memory # 2 Memory # 5 Energy level # 3 Memory # 1 Memory # 5 Energy level # 2 Moving quickly # 3 Lachman (2004)

Top Memory Problems Reported Daily Diary Study 1 Whitbourne (2005) Ages 22-85 Daily Diary Study 2 Hahn et al (2014) Ages 23-94 Trouble with a name 75% 69% Word on tip of tongue 75% 71% Forget why went into room 58% 43% Forget where put something 58% 64% Forgot what started to say 54% 43%

Control Beliefs: Percent Reporting A Lot of Control Varies by Domain MIDUS II National and Boston-Area Samples How much control do you have over? 100% 80% 74% 62% 60% 50% 47% 45% 40% 20% 0% Life in general, at present Appearance Health Thinking as quickly as you need to Memory

Cognition and Health Preclinical Biomarkers and Allostatic Load

MIDUS Allostatic Load Sympathetic Nervous System (2) Urinary epinephrine & norepinephrine Parasympathetic Nervous System (4) SDRR, RMSSD, LF-HRV, & HF-HRV HPA Axis (2) Urinary cortisol & serum DHEA-S Inflammation (5) C-reactive protein, IL-6, E-Selectin 5, fibrinogen & ICAM Cardiovascular Functioning (3) Resting systolic blood pressure, pulse pressure, & heart rate Glucose Metabolism (3) Fasting glucose, blood levels of glycosylated hemoglobin, & insulin resistance Lipid Metabolism (5) BMI, WHR, triglycerides, LDL cholesterol & HDL cholesterol

Cognition and Allostatic Load LOESS smoothed (bandwidth 0.8) plots Panel A: Episodic Memory Panel B: Executive Functioning Adjusted for age, education, race, neurological conditions Karlamangla et al., 2014 Neurobiology of Aging

Associations between Biomarkers Variables and BTACT Factors Episodic Memory Executive Functioning Cardiovascular Functioning Inflammation Glucose Metabolism Allostatic Load Karlamangla et al., 2014 Neurobiology of Aging

Explore the Costs of Cognitive Aging [Hurd et al. (2013) NEJM- Costs of dementia] What are the costs of cognitive aging? Work: Early retirement; days missed Health Care: Testing; assessment; doctor visits Worry and stress Poor decision making Susceptibility to fraud Use of support services Reduced social interactions Calculate monetary cost $$$$

Gaps & Recommendations 1. What happens before age 60? Cognitive problems and concerns start early in adulthood Early detection of declines; Warning signs of impairment Assessments at younger ages; Middle age

Gaps & Recommendations 2. What measures best capture cognitive aging? Dementia screeners are limited Include more cognitive abilities-see which abilities are diagnostic at early stages- speed, EF, not only memory Self assessments are not always accurate Establish norms; Give feedback How are everyday problems and cognitive test performance related?

Gaps & Recommendations 3. Monitor changes in cognition Need quick and reliable cognitive assessments Annual physical, Monitor over time Stress test for cognition, Lab workup Use of informants and diaries to track cognition Which changes are of concern?

Gaps & Recommendations 4. Sensitivity to individual differences in cognitive aging Explore Differences by Sex, Educational Attainment, Culture, Ethnicity 5. Importance of health for cognition Clarify links with physical and mental health Relationship to preclinical biomarkers and disease Role of medication in cognitive performance- Side effects

Gaps & Recommendations 6. Clarify what we can do for cognitive aging How to take control (Psychosocial and behavioral factors) Protective lifestyle factors Exercise, Good sleep, Positive Attitude Address misconceptions about brain games Education about damaging effects of smoking, sedentary behavior, diet, social isolation etc.

The End

Panel Questions Questions for panel discussion: What population-based statistics are available on the prevalence of various stages of cognitive change? What needs to be done to improve population based surveillance? What is known from longitudinal studies about the prevalence of various stages of cognitive change? What needs to be done to improve longitudinal studies?

Panel Questions What surveillance systems and tools are being used to provide information on cognitive aging? What surveillance and public health monitoring tools are needed to better understand the public health impact of cognitive aging? What are the clinical consequences of cognitive aging in adults who do not have a disease that is accepted as causing or contributing to cognitive impairment? What other types of surveillance systems and tools are needed for cognitive aging? What lessons can be learned from other fields of public health? What can we learn from the life course approach?