Cognitive predictors of everyday functioning in older adults: results from the ACTIVE Cognitive Intervention Trial.

OBJECTIVE The present study sought to predict changes in everyday functioning using cognitive tests. METHODS Data from the Advanced Cognitive Training for Independent and Vital Elderly trial were used to examine the extent to which competence in different cognitive domains--memory, inductive reasoning, processing speed, and global mental status--predicts prospectively measured everyday functioning among older adults. Coefficients of determination for baseline levels and trajectories of everyday functioning were estimated using parallel process latent growth models. RESULTS Each cognitive domain independently predicts a significant proportion of the variance in baseline and trajectory change of everyday functioning, with inductive reasoning explaining the most variance (R2 = .175) in baseline functioning and memory explaining the most variance (R2 = .057) in changes in everyday functioning. DISCUSSION Inductive reasoning is an important determinant of current everyday functioning in community-dwelling older adults, suggesting that successful performance in daily tasks is critically dependent on executive cognitive function. On the other hand, baseline memory function is more important in determining change over time in everyday functioning, suggesting that some participants with low baseline memory function may reflect a subgroup with incipient progressive neurologic disease.

[1]  J. Botwinick,et al.  Set in relation to age. , 1957, Journal of gerontology.

[2]  P. Rubé,et al.  L’examen Clinique en Psychologie , 1959 .

[3]  F. David,et al.  Statistical Estimates and Transformed Beta-Variables. , 1960 .

[4]  S. Katz,et al.  STUDIES OF ILLNESS IN THE AGED. THE INDEX OF ADL: A STANDARDIZED MEASURE OF BIOLOGICAL AND PSYCHOSOCIAL FUNCTION. , 1963, JAMA.

[5]  M. Lawton,et al.  Assessment of older people: self-maintaining and instrumental activities of daily living. , 1969, The Gerontologist.

[6]  M. Lawton,et al.  Assessment of Older People: Self-Maintaining and Instrumental Activities of Daily Living , 1969 .

[7]  References , 1971 .

[8]  S. Folstein,et al.  "Mini-mental state". A practical method for grading the cognitive state of patients for the clinician. , 1975, Journal of psychiatric research.

[9]  G. Fillenbaum,et al.  Screening the Elderly , 1985, Journal of the American Geriatrics Society.

[10]  P. Bentler,et al.  Comparative fit indexes in structural models. , 1990, Psychological bulletin.

[11]  Relationships between neuropsychological and functional assessment in elderly neuropsychiatric patients. , 1990 .

[12]  Peter La Cour,et al.  Rivermead Behavioural Memory Test , 1990 .

[13]  W J MacLennan,et al.  The accuracy of self and informant ratings of physical functional capacity in the elderly. , 1992, Journal of clinical epidemiology.

[14]  E D Richardson,et al.  The ability of the Dementia Rating Scale to predict everyday functioning. , 1993, Archives of clinical neuropsychology : the official journal of the National Academy of Neuropsychologists.

[15]  H. Cohen,et al.  The comprehensive assessment of community dwelling elderly: Why functional status is not enough , 1994, Aging.

[16]  A. Satorra,et al.  Corrections to test statistics and standard errors in covariance structure analysis. , 1994 .

[17]  Dc Washington Diagnostic and Statistical Manual of Mental Disorders, 4th Ed. , 1994 .

[18]  Clifford C. Clogg,et al.  Latent Variables Analysis: Applications for Developmental Research. , 1995 .

[19]  E. Richardson,et al.  Neuropsychologic Prediction of Performance Measures of Daily Living Skills in Geriatric Patients , 1995 .

[20]  L. Fratiglioni,et al.  Determinants of Functional Abilities in Dementia , 1995, Journal of the American Geriatrics Society.

[21]  S. Willis,et al.  Dimensionality of everyday problem solving in older adults. , 1995, Psychology and aging.

[22]  R. Brennan,et al.  Test equating : methods and practices , 1995 .

[23]  S. Willis,et al.  Everyday cognitive competence in elderly persons: conceptual issues and empirical findings. , 1996, The Gerontologist.

[24]  T Shallice,et al.  The domain of supervisory processes and temporal organization of behaviour. , 1996, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.

[25]  N. Laird,et al.  Using the general linear mixed model to analyse unbalanced repeated measures and longitudinal data. , 1997, Statistics in medicine.

[26]  Bengt Muthen,et al.  10. Latent Variable Modeling of Longitudinal and Multilevel Data , 1997 .

[27]  Beth T. Stalvey,et al.  Driving avoidance and functional impairment in older drivers. , 1998, Accident; analysis and prevention.

[28]  R. Hamman,et al.  Executive Cognitive Abilities and Functional Status Among Community‐Dwelling Older Persons in the San Luis Valley Health and Aging Study , 1998, Journal of the American Geriatrics Society.

[29]  D. Galasko An integrated approach to the management of Alzheimer's disease: assessing cognition, function and behaviour , 1998 .

[30]  K. Schaie,et al.  Theories of everyday competence and aging. , 1999 .

[31]  A. Stuck,et al.  Risk factors for functional status decline in community-living elderly people: a systematic literature review. , 1999, Social science & medicine.

[32]  J. Allaire,et al.  Everyday cognition: age and intellectual ability correlates. , 1999, Psychology and aging.

[33]  H. Christensen,et al.  An analysis of diversity in the cognitive performance of elderly community dwellers: individual differences in change scores as a function of age. , 1999, Psychology and aging.

[34]  M. Visser,et al.  Past and current smoking in relation to body fat distribution in older men and women. , 1999, The journals of gerontology. Series A, Biological sciences and medical sciences.

[35]  P. Bentler,et al.  Cutoff criteria for fit indexes in covariance structure analysis : Conventional criteria versus new alternatives , 1999 .

[36]  C. Fabrigoule,et al.  Neuropsychological correlates of self-reported performance in instrumental activities of daily living and prediction of dementia. , 1999, The journals of gerontology. Series B, Psychological sciences and social sciences.

[37]  W F Stewart,et al.  Screening for dementia with the Memory Impairment Screen , 1999, Neurology.

[38]  A. Koriat,et al.  Toward a psychology of memory accuracy. , 2000, Annual review of psychology.

[39]  Martin T. Pietrucha,et al.  Mobility and transportation in the elderly , 2000 .

[40]  Karlene K. Ball,et al.  INCREASING MOBILITY AND REDUCING ACCIDENTS OF OLDER DRIVERS. IN: MOBILITY AND TRANSPORTATION IN THE ELDERLY , 2000 .

[41]  G. Wolf-Klein,et al.  Predictors of hospital length of stay and nursing home placement in an elderly medical population. , 2000, Journal of the American Medical Directors Association.

[42]  S. Mitchell,et al.  The hierarchy of functional loss associated with cognitive decline in older persons. , 2001, The journals of gerontology. Series A, Biological sciences and medical sciences.

[43]  T. Mitzner,et al.  Language decline across the life span: findings from the Nun Study. , 2001, Psychology and aging.

[44]  J N Morris,et al.  ACTIVE: a cognitive intervention trial to promote independence in older adults. , 2001, Controlled clinical trials.

[45]  D. B. Mitchell,et al.  The handbook of aging and cognition , 2001 .

[46]  Jason C. Allaire,et al.  Well- and ill-defined measures of everyday cognition: relationship to older adults' intellectual ability and functional status. , 2002, Psychology and aging.

[47]  Kenneth Podell,et al.  Standard measures of executive function in predicting instrumental activities of daily living in older adults , 2002, International journal of geriatric psychiatry.

[48]  D. Cahn-Weiner,et al.  Tests of Executive Function Predict Instrumental Activities of Daily Living in Community-Dwelling Older Individuals , 2002, Applied neuropsychology.

[49]  Alan M Jette,et al.  Late life function and disability instrument: I. Development and evaluation of the disability component. , 2002, The journals of gerontology. Series A, Biological sciences and medical sciences.

[50]  Cynthia Owsley,et al.  Timed Instrumental Activities of Daily Living Tasks: Relationship to Cognitive Function and Everyday Performance Assessments in Older Adults , 2002, Gerontology.

[51]  T. Shallice,et al.  Action Sequencing Deficit Following Frontal Lobe Lesion , 2002, Neurocase.

[52]  George W Rebok,et al.  Effects of cognitive training interventions with older adults: a randomized controlled trial. , 2002, JAMA.

[53]  Helen Jackson-Ruiz Assessing Older Persons , 2002 .

[54]  Michael Marsiske,et al.  The Revised Observed Tasks of Daily Living: A Performance-Based Assessment of Everyday Problem Solving in Older Adults , 2005, Journal of applied gerontology : the official journal of the Southern Gerontological Society.

[55]  Quincy M. Samus,et al.  Predictors of functional impairment in residents of assisted-living facilities: the Maryland Assisted Living study. , 2005, The journals of gerontology. Series A, Biological sciences and medical sciences.

[56]  M. Sliwinski,et al.  Distinguishing preterminal and terminal cognitive decline , 2006 .

[57]  E. Strauss,et al.  Cognitive Functioning and Everyday Problem Solving in Older Adults , 2006, The Clinical neuropsychologist.

[58]  K. Ball,et al.  Long-term effects of cognitive training on everyday functional outcomes in older adults. , 2006, JAMA.

[59]  Kaarin J Anstey,et al.  Predicting Driving Cessation over 5 Years in Older Adults: Psychological Well‐Being and Cognitive Competence Are Stronger Predictors than Physical Health , 2006, Journal of the American Geriatrics Society.

[60]  R. Paul,et al.  Evaluating elements of executive functioning as predictors of instrumental activities of daily living (IADLs). , 2006, Archives of clinical neuropsychology : the official journal of the National Academy of Neuropsychologists.

[61]  D. Stull,et al.  Analyzing growth and change: latent variable growth curve modeling with an application to clinical trials , 2008, Quality of Life Research.

[62]  K. Coburn,et al.  The cognitive correlates of functional status , 2007 .

[63]  Kevin J Black,et al.  The cognitive correlates of functional status: a review from the Committee on Research of the American Neuropsychiatric Association. , 2007, The Journal of neuropsychiatry and clinical neurosciences.

[64]  M. McDaniel,et al.  Prospective Memory: An Overview and Synthesis of an Emerging Field , 2007 .

[65]  A. Kramer,et al.  Enrichment Effects on Adult Cognitive Development , 2008, Psychological science in the public interest : a journal of the American Psychological Society.

[66]  Oscar L. Lopez,et al.  Telephone Interview for Cognitive Status , 2009, Neuroepidemiology.

[67]  N. Raz,et al.  Ageing and organisation strategies in free recall: The role of cognitive flexibility , 2009 .

[68]  M. Schmitter-Edgecombe,et al.  Characterizing multiple memory deficits and their relation to everyday functioning in individuals with mild cognitive impairment. , 2009, Neuropsychology.

[69]  P. Lemaire Cognitive Strategy Variations During Aging , 2010 .

[70]  Ayanna K. Thomas,et al.  Theoretical Perspectives on Cognitive Aging , 2019, Handbook of Medical Neuropsychology.

[71]  P. Lichtenberg Handbook of Assessment in Clinical Gerontology , 2010 .

[72]  Jason Brandt,et al.  Everyday functioning in mild cognitive impairment and its relationship with executive cognition , 2010, International journal of geriatric psychiatry.

[73]  A. Gross,et al.  Memory training and strategy use in older adults: results from the ACTIVE study. , 2011, Psychology and aging.

[74]  E. Walker,et al.  Diagnostic and Statistical Manual of Mental Disorders , 2013 .

[75]  Janet B W Williams Diagnostic and Statistical Manual of Mental Disorders , 2013 .