Hostname: page-component-76fb5796d-5g6vh Total loading time: 0 Render date: 2024-04-28T13:00:28.671Z Has data issue: false hasContentIssue false
  • English
  • Français

Properties of the Cognitive Function Battery for the MIND Diet Intervention to Prevent Alzheimer’s Disease

Published online by Cambridge University Press:  06 October 2021

Kristin R. Krueger Open the ORCID record for Kristin R. Krueger [Opens in a new window] ,
Klodian Dhana ,
Neelum T. Aggarwal ,
Konstantinos Arfanakis ,
Vincent J. Carey ,
Frank M. Sacks  and
Lisa L. Barnes
Kristin R. Krueger*
Affiliation:
Department of Internal Medicine, Rush Institute for Healthy Aging, Rush University Medical Center, Chicago, IL, USA
Klodian Dhana
Affiliation:
Department of Internal Medicine, Rush Institute for Healthy Aging, Rush University Medical Center, Chicago, IL, USA
Neelum T. Aggarwal
Affiliation:
Department of Neurological Sciences, Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL, USA
Konstantinos Arfanakis
Affiliation:
Department of Diagnostic Radiology and Nuclear Medicine, Rush Medical College, Chicago, IL, USA
Vincent J. Carey
Affiliation:
Department of Medicine, Channing Division of Network Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
Frank M. Sacks
Affiliation:
Nutrition Department, Harvard T.H. Chan School of Public Health, Boston, MA, USA
Lisa L. Barnes
Affiliation:
Department of Neurological Sciences, Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL, USA
*
*Correspondence and reprint requests to: Kristin R. Krueger, Rush Institute for Healthy Aging, Rush University Medical Center, 1700 W. Van Buren Street, Suite 245 Chicago, IL60612, USA. Email: Kristin_R_Krueger@rush.edu
Get access Rights & Permissions [Opens in a new window]

Abstract

Objective:

To evaluate the properties of the cognitive battery used in the MIND Diet Intervention to Prevent Alzheimer’s Disease. The MIND Diet Intervention is a randomized control trial to determine the relative effectiveness of the MIND diet in slowing cognitive decline and reducing brain atrophy in older adults at risk for Alzheimer’s dementia.

Methods:

The MIND cognitive function battery was administered at baseline to 604 participants of an average age of 70 years, who agreed to participate in the diet intervention study, and was designed to measure change over time. The battery included 12 cognitive tests, measuring the 4 cognitive domains of executive function, perceptual speed, episodic memory, and semantic memory. We conducted a principal component analysis to examine the consistency between our theoretical domains and the statistical performance of participants in each domain. To further establish the validity of each domain, we regressed the domain scores against a late-life cognitive activity score, controlling for age, race, sex, and years of education.

Results:

Four factors emerged in the principal component analyses that were similar to the theoretical domains. In regression equations, we found the expected associations with age, education, and late-life cognitive activity with each of the four cognitive domains.

Conclusions:

These results indicate that the MIND cognitive battery is a comprehensive and valid battery of four separate domains of cognitive function that can be used in diet intervention trials for older adults.

Keywords

Neuropsychological testsOutcome assessmentEpisodic memoryExecutive functionCognitionPrincipal component analysis
Type
Research Article
Information
Journal of the International Neuropsychological Society , Volume 28 , Issue 8 , September 2022 , pp. 790 - 797
Copyright
Copyright © INS. Published by Cambridge University Press, 2021

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

REFERENCES

Albert, M., Smith, L.A., Scherr, P.A., Taylor, J.O., Evans, D.A., & Funkenstein, H.H. (1991). Use of brief cognitive tests to identify individuals in the community with clinically diagnosed Alzheimer’s disease. International Journal of Neuroscience, 57, 167–178.CrossRefGoogle ScholarPubMed
Gavett, B.E., Gurnani, A.S., Saurman, J.L., Chapman, K.R., Steinberg, E.G., Martin, B., … Stern, R.A. (2016). Practice effects on story memory and list learning tests in the neuropsychological assessment of older adults. PLoS ONE, 11(10), 1–17.CrossRefGoogle ScholarPubMed
Golchert, J., Roehr, S., Luck, T., Wagner, M., Fuchs, A., Wiese, B., … Riedel-Heller, S. (2019). Women outperform men in verbal episodic memory even in oldest-old: 13-yar longitudinal results of the AgeCoDe/AgeQualiDe Study. Journal of Alzheimers Disease, 69(3), 857–869.CrossRefGoogle ScholarPubMed
Hosking, D.E., Eramudugolla, R., Cherbuin, N., & Anstey, K.J. (2019). MIND, not Mediterranean diet related to 12-year incidence of cognitive impairment in an Australian longitudinal cohort study. Alzheimer’s & Dementia, 15(4), 581–589.CrossRefGoogle ScholarPubMed
Ivanova, I., Salmon, D.P., & Gollan, T.H. (2013). The Multilingual Naming Test in Alzheimer’s Disease: Clues to the origin of Naming Impairments. Journal of the International Neuropsychological Society, 19(3), 272–283.CrossRefGoogle Scholar
Karr, J.E., Areshenkoff, C.N., Rast, P., Hofer, S.M., Iverson, G.L., & Garcia-Barrera, M.A. (2018). The unity and diversity of executive functions: A systematic review and re-analysis of latent variable studies. Psychological Bulletin, 144(11), 1147–1185.CrossRefGoogle ScholarPubMed
Knight, A., Bryan, J., Wilson, C., Hodgson, J., Davis, C., & Murphy, K. (2016). The Mediterranean diet and cognitive function among healthy older adults in a 6-month randomised controlled trial: the MedLey Study. Nutrients, 8, 579.CrossRefGoogle Scholar
Martinez-Lapiscina, E.H, Clavero, P., Toledo, E., Estruch, R., Salas-Salvado, J., San Julian, B., Sanchez- Tainta, A., … Martinez-Gonzalez, M.A. (2013a). Mediterranean diet improves cognition: the PREDIMED-Navarra randomised trial. Journal of Neurology, Neurosurgery and Psychiatry, 84, 1318–1325.CrossRefGoogle ScholarPubMed
Martinez-Lapiscina, E.H, Clavero, P., Toledo, E., San Julian, B., Sanchez-Tainta, A., Corella, D., … Martinez-Gonzalez, M.A. (2013b). Virgin olive oil supplementation and long-term cognition: the PREDIMED-NAVARRA randomized trial. Journal of Nutritional Health and Aging, 17, 544–552.CrossRefGoogle ScholarPubMed
Miyake, A., Friedman, N.P., Emerson, M., , J., Witzki, A.H., Howerter, A., & Wager, T.D. (2000). The unity and diversity of executive functions and their contributions to complex “Frontal Lobe” tasks: A latent variable analysis. Cognitive Psychology, 41(1), 49–100.CrossRefGoogle ScholarPubMed
Morris, J.C., Heyman, A., Mohs, R.C., Hughes, J.P., van Belle, G., Fillenbaum, G., & Clark, C. (1989). The consortium to establish a Registry for Alzheimer’s Disease (CERAD): I. Clinical and neuropsychological assessment of Alzheimer’s disease. Neurology, 39, 1159–1165.Google Scholar
Morris, M.C., Tangney, C. C, Wang, Y., Sacks, F.M., Barnes, L. L, Bennett, D. A., & Aggarwal, N.T. (2015). MIND diet slows cognitive decline with aging. Alzheimers Dementia, 11(9), 1015–1022.CrossRefGoogle ScholarPubMed
Mortamais, M., Ash, J. A., Harrison, J., Kaye, J., Kramer, J., Randolph, C., Pose, C., … Ritchie, K. (2017). Detecting cognitive changes in preclinical Alzheimer’s disease: A review of its feasibility. Alzheimer’s & Dementia, 13, 468–491.CrossRefGoogle ScholarPubMed
Nasreddine, Z.S., Phillips, N., , A., Bedirian, B., Charbonneua, S., Whitehead, V., Collin, I., … Chertkow, H. (2005). The Montreal cognitive assessment, MoCA: a brief screening tool for mild cognitive impairment. Journal of American Geriatric Society, 53(4), 695–699.CrossRefGoogle ScholarPubMed
Perri, R., Fadda, L., Caltagirone, C., & Carlesimo, G.A. (2013). Word list and story recall elicit different patterns of memory deficit in patients with Alzheimer’s disease, frontotemporal dementia, subcortical ischemic vascular disease, and Lewy body dementia. Journal of Alzheimers Disease., 37(1), 99–107.CrossRefGoogle ScholarPubMed
Rand, M.W. (1971). Objective criteria for the evaluation of clustering methods. Journal of the American Statistical Association, 66, 846–850.CrossRefGoogle Scholar
Reitan, R.M., & Wolfson, D. (1985). The Halstead Reitan neuropsychological test battery. Tucson, AZ: Neuropsychology Press.Google Scholar
Ritchie, K., Ropacki, M., Albala, B., Harrison, J., Kaye, J., Kramer, J., … Ritchie, C.W. (2017). Recommended cognitive outcomes in preclinical Alzheimer’s disease: Consensus statement from the European Prevention of Alzheimer’s dementia project. Alzheimer’s & Dementia, 13, 186–195.CrossRefGoogle ScholarPubMed
Smith, A. (1982). Symbol Digit Modalities Test Manual – Revised. Los Angeles: Western Psychological Services.Google Scholar
Smith, P. J., Blumenthal, J.A., Babyak, M. A., Craighead, L., Welsh-Bohmer, K.A., Browndyke, J. N., … Sherwood, A. (2010). Effects of the dietary approaches to stop hypertension diet, exercise, and caloric restriction on neurocognition in overweight adults with high blood pressure. Hypertension, 55, 1331–1338.CrossRefGoogle ScholarPubMed
Teng, E.L., & Chui, H.C. (1987). The Modified Mini-Mental State (3MS) Examination. Journal of Clinical Psychiatry, 48(43), 314–318.Google ScholarPubMed
Valls-Pedret, C., Sala-Vila, A., Serra-Mir, M., Corella, D., de la Torre, R., Martinez-Gonzalez, M.A., … Ros, E. (2015). Mediterranean diet and age-related cognitive decline: a randomized clinical trial. JAMA Internal Medicine, 175, 1094–1104.CrossRefGoogle ScholarPubMed
van den Brink, AC., Brouwer-Brolsma, EM, Berendsen, AM, , A., & van de Rest, O. (2019). The Mediterranean, dietary approaches to stop hypertension (DASH) Intervention for neurodegenerative delay (MIND) diets are associated with less cognitive decline and a lower risk of Alzheimer’s disease – a review. Advances in Nutrition, 10, 1040–1065.CrossRefGoogle Scholar
Wardle, J., Rogers, P., Judd, P., Taylor, M.A., Rapoport, L., Green, M., & Nicholson Perry, K. (2000). Randomized trial of the effects of cholesterol-lowering dietary treatment on psychological function. American Journal of Medicine, 108, 547–553.CrossRefGoogle ScholarPubMed
Weintraub, S., Carrillo, M. C., Tomaszewski Farias, S., Goldberg, T. E., Hendrix, J. A., Jaeger, J., … Randolph, C. (2017). Measuring cognition and function in the preclinical stage of Alzheimer’s disease. Alzheimer’s & Dementia: Translational Research & Clinical Interventions, 4, 64–75.Google Scholar
Weintraub, S., Dikmen, S.S., Heaton, R.K., Tulsky, D.S., Zelazo, P.D., Bauer, P.J., … Gershon, R.C. (2013). Cognition Assessment using the NIH toolbox. Neurology, 80, S54–S64.CrossRefGoogle ScholarPubMed
Wilson, R.S., Segawa, E., Boyle, P.A., & Bennett, D.A. (2012). Influence of late-life cognitive activity on cognitive health. Neurology, 7(15), 1123–1129.CrossRefGoogle Scholar
Wilson, R.S., Yu, L., Lamar, M., Schneider, J.A., Boyle, P.A., & Bennett, D.A. (2019). Education and cognitive reserve in old age. Neurology, 92(10), 1041–1050.CrossRefGoogle ScholarPubMed
Zahonde, L.B., Bowers, D., Price, C.C., Bauer, R.M., Nisenzon, A., Foote, K.D., & Okun, M.S. (2011). The case for measuring memory with both word lists and stories prior to DBS in Parkinson’s disease. Clinical Neuropsychology, 25(3), 348–358.Google Scholar