Top

Gepubliceerd in:

01-04-2014

Cognitive decline and cardiometabolic risk among Hispanic and non-Hispanic white adults in the San Luis Valley Health and Aging Study

Auteurs: Kerry L. Hildreth, Jim Grigsby, Lucinda L. Bryant, Pamela Wolfe, Judith Baxter

Gepubliceerd in: Journal of Behavioral Medicine | Uitgave 2/2014

Abstract

Cardiometabolic risk factors, including hypertension, dyslipidemia, central obesity, insulin resistance and diabetes are linked to cognitive impairment. The Hispanic population appears to be differentially affected by both cardiometabolic risk factors and cognitive impairment. We sought to determine whether ethnic differences in cognitive impairment in long-resident southwestern US elders was explained by the presence of cardiometabolic risk factors, and to explore patterns of cognitive decline over time. We performed a secondary analysis of data collected on 378 Hispanic and 409 non-Hispanic white adult participants in a longitudinal study of community-dwelling elderly in southern Colorado. Measures of cardiometabolic risk included waist circumference, blood pressure, diagnosis of diabetes, and random blood glucose. Cognitive measures included the Mini-Mental State Exam (MMSE) and the behavioral dyscontrol scale (a measure of executive cognitive function), at baseline and after an average of 22 months. Subjects were also administered the Center for Epidemiologic Studies Depression Scale, and the Coronary Artery Risk Development in Young Adults 1-Year Activity Recall. At baseline, Hispanic elders had a greater number of cardiometabolic risk factors and lower MMSE and behavioral dyscontrol scale scores than non-Hispanic whites. Hispanic ethnicity was associated with a greater likelihood of decline in general cognitive function, but not executive cognitive function, after adjusting for age and education. This differential decline was not explained by either individual or total number of baseline cardiometabolic risk factors, depression, or physical activity. A borderline increased risk of decline in general cognitive function was seen in sedentary individuals (P = 0.05).

vorige artikel Changing how I feel about the food: experimentally manipulated affective associations with fruits change fruit choice behaviors

volgende artikel Impact of a brief intervention on physical activity and social cognitive determinants among working mothers: a randomized trial

A, E., Baxter, J., Grigsby, J., Curran-Everett, D., Hokanson, J. E., & Bryant, L. L. (2010). Executive function (capacity for behavioral self-regulation) and decline predicted mortality in a longitudinal study in Southern Colorado. Journal of Clinical Epidemiology, 63, 307–314. doi:10.1016/j.jclinepi.2009.06.004 CrossRef

Ahlskog, J. E., Geda, Y. E., Graff-Radford, N. R., & Petersen, R. C. (2011). Physical exercise as a preventive or disease-modifying treatment of dementia and brain aging. Mayo Clinic Proceedings, 86, 876–884. doi:10.4065/mcp.2011.0252 PubMedCentralPubMedCrossRef

Al Hazzouri, A. Z., Haan, M. N., Galea, S., & Aiello, A. E. (2011). Life-course exposure to early socioeconomic environment, education in relation to late-life cognitive function among older Mexicans and Mexican Americans. Journal of Aging and Health, 23, 1027–1049. doi:10.1177/0898264311421524 PubMedCentralPubMedCrossRef

Albert, M. S., Jones, K., Savage, C. R., Berkman, L., Seeman, T., Blazer, D., et al. (1995). Predictors of cognitive change in older persons: MacArthur studies of successful aging. Psychology and Aging, 10, 578–589.PubMedCrossRef

Alexopoulos, G. S., Kiosses, D. N., Klimstra, S., Kalayam, B., & Bruce, M. L. (2002). Clinical presentation of the “depression-executive dysfunction syndrome” of late life. American Journal of Geriatric Psychiatry, 10, 98–106.PubMed

Alley, D., Suthers, K., & Crimmins, E. (2007). Education and cognitive decline in older Americans: Results from the AHEAD sample. Research on Aging, 29, 73–94. doi:10.1177/0164027506294245 PubMedCentralPubMedCrossRef

Andel, R., Vigen, C., Mack, W. J., Clark, L. J., & Gatz, M. (2006). The effect of education and occupational complexity on rate of cognitive decline in Alzheimer’s patients. Journal of the International Neuropsychological Society, 12, 147–152. doi:10.1017/S1355617706060206 PubMedCrossRef

Bennett, D. A., Wilson, R. S., Schneider, J. A., Evans, D. A., Mendes de Leon, C. F., Arnold, S. E., et al. (2003). Education modifies the relation of AD pathology to level of cognitive function in older persons. Neurology, 60, 1909–1915.PubMedCrossRef

Berg, R., Franzen, M., & Wedding, D. (1987). Screening for brain impairment: A manual for mental health practice. New York: Springer.

Black, S. A., Espino, D. V., Mahurin, R., Lichtenstein, M. J., Hazuda, H. P., Fabrizio, D., et al. (1999). The influence of noncognitive factors on the Mini-Mental State Examination in older Mexican-Americans: findings from the Hispanic EPESE. Established Population for the Epidemiologic Study of the Elderly. Journal of Clinical Epidemiology, 52, 1095–1102.PubMedCrossRef

Burchfiel, C. M., Hamman, R. F., Marshall, J. A., Baxter, J., Kahn, L. B., & Amirani, J. J. (1990). Cardiovascular risk factors and impaired glucose tolerance: the San Luis Valley Diabetes Study American. Journal of Epidemiology, 131, 57–70.

Carnethon, M. R., Loria, C. M., Hill, J. O., Sidney, S., Savage, P. J., & Liu, K. (2004). Risk factors for the metabolic syndrome: the Coronary Artery Risk Development in Young Adults (CARDIA) study, 1985–2001. Diabetes Care, 27, 2707–2715.PubMedCrossRef

Cooper, C., Tandy, A. R., Balamurali, T. B., & Livingston, G. (2010). A systematic review and meta-analysis of ethnic differences in use of dementia treatment, care, and research. American Journal of Geriatric Psychiatry, 18, 193–203. doi:10.1097/JGP.0b013e3181bf9caf PubMedCrossRef

Craft, S., Peskind, E., Schwartz, M. W., Schellenberg, G. D., Raskind, M., & Porte, D., Jr. (1998). Cerebrospinal fluid and plasma insulin levels in Alzheimer’s disease: Relationship to severity of dementia and apolipoprotein E genotype. Neurology, 50, 164–168.PubMedCrossRef

Cukierman, T., Gerstein, H. C., & Williamson, J. D. (2005). Cognitive decline and dementia in diabetes–systematic overview of prospective observational studies. Diabetologia, 48, 2460–2469. doi:10.1007/s00125-005-0023-4 PubMedCrossRef

Deschaintre, Y., Richard, F., Leys, D., & Pasquier, F. (2009). Treatment of vascular risk factors is associated with slower decline in Alzheimer disease. Neurology, 73, 674–680. doi:10.1212/WNL.0b013e3181b59bf3 PubMedCrossRef

Dik, M. G., Jonker, C., Comijs, H. C., Deeg, D. J., Kok, A., Yaffe, K., et al. (2007). Contribution of metabolic syndrome components to cognition in older individuals. Diabetes Care, 30, 2655–2660.PubMedCrossRef

Elias, P. K., Elias, M. F., D’Agostino, R. B., Cupples, L. A., Wilson, P. W., Silbershatz, H., et al. (1997). NIDDM and blood pressure as risk factors for poor cognitive performance. The Framingham Study. Diabetes Care, 20, 1388–1395.PubMedCrossRef

Escobar, J. I., Burnam, A., Karno, M., Forsythe, A., Landsverk, J., & Golding, J. M. (1986). Use of the Mini-Mental State Examination (MMSE) in a community population of mixed ethnicity. Cultural and linguistic artifacts. The Journal of Nervous and Mental Disease, 174, 607–614.PubMedCrossRef

Espino, D. V., Lichtenstein, M. J., Palmer, R. F., & Hazuda, H. P. (2001). Ethnic differences in mini-mental state examination (MMSE) scores: Where you live makes a difference. Journal of the American Geriatrics Society, 49, 538–548.PubMedCrossRef

Everson-Rose, S. A., Mendes de Leon, C. F., Bienias, J. L., Wilson, R. S., & Evans, D. A. (2003). Early life conditions and cognitive functioning in later life. American Journal of Epidemiology, 158, 1083–1089.PubMedCrossRef

Folstein, M. F., Folstein, S. E., & McHugh, P. R. (1975). “Mini-mental state”. A practical method for grading the cognitive state of patients for the clinician. Journal of Psychiatric Research, 12, 189–198.PubMedCrossRef

Ford, E. S., Giles, W. H., & Dietz, W. H. (2002). Prevalence of the metabolic syndrome among US adults: Findings from the third National Health and Nutrition Examination Survey. JAMA: The Journal of the American Medical Association, 287, 356–359.CrossRef

Glymour, M. M., & Manly, J. J. (2008). Lifecourse social conditions and racial and ethnic patterns of cognitive aging. Neuropsychology Review, 18, 223–254. doi:10.1007/s11065-008-9064-z PubMedCrossRef

Grigsby, J., & Kaye, K. (1996). Behavioral dyscontrol scale: Manual (2nd ed.). Colorado: Ward.

Grigsby, J., Kaye, K., Baxter, J., Shetterly, S. M., & Hamman, R. F. (1998). Executive cognitive abilities and functional status among community-dwelling older persons in the San Luis Valley Health and Aging Study. Journal of the American Geriatrics Society, 46, 590–596.PubMed

Grigsby, J., Kaye, K., & Robbins, L. J. (1992). Reliabilities, norms and factor structure of the Behavioral Dyscontrol Scale. Perceptual and Motor Skills, 74, 883–892.PubMedCrossRef

Grigsby, J., Kaye, K., Shetterly, S. M., Baxter, J., Morgenstern, N. E., & Hamman, R. F. (2002). Prevalence of disorders of executive cognitive functioning among the elderly: Findings from the San Luis Valley Health and Aging Study. Neuroepidemiology, 21, 213–220.PubMedCrossRef

Hamman, R. F., Mayer, E. J., Moo-Young, G. A., Hildebrandt, W., Marshall, J. A., & Baxter, J. (1989). Prevalence and risk factors of diabetic retinopathy in non-Hispanic whites and Hispanics with NIDDM. San Luis Valley Diabetes Study. Diabetes, 38, 1231–1237.PubMedCrossRef

Heiskanen, T. H., Niskanen, L. K., Hintikka, J. J., Koivumaa-Honkanen, H. T., Honkalampi, K. M., Haatainen, K. M., et al. (2006). Metabolic syndrome and depression: A cross-sectional analysis. The Journal of Clinical Psychiatry, 67, 1422–1427.PubMedCrossRef

Helzner, E. P., Luchsinger, J. A., Scarmeas, N., Cosentino, S., Brickman, A. M., Glymour, M. M., et al. (2009). Contribution of vascular risk factors to the progression in Alzheimer disease. Archives of Neurology, 66, 343–348. doi:10.1001/archneur.66.3.343 PubMedCentralPubMedCrossRef

Ho, R. C., Niti, M., Yap, K. B., Kua, E. H., & Ng, T. P. (2008). Metabolic syndrome and cognitive decline in Chinese older adults: Results from the Singapore longitudinal ageing studies. The American Journal of Geriatric Psychiatry, 16, 519–522. doi:10.1097/JGP.0b013e31816b7841 PubMedCrossRef

Iliffe, S., Booroff, A., Gallivan, S., Goldenberg, E., Morgan, P., & Haines, A. (1990). Screening for cognitive impairment in the elderly using the mini-mental state examination. The British Journal of General Practice, 40, 277–279.PubMedCentralPubMed

Jacobs, D. R., Jr, Hahn, L. P., Haskell, W. L., Pirie, P., & Sidney, S. (1989). Validity and reliability of short physical activity history: CARDIA and the Minnesota Heart Health Program. Journal of Cardiopulmonary Rehabilitation, 9, 448–459.CrossRef

Janiszewski, P. M., & Ross, R. (2009). The utility of physical activity in the management of global cardiometabolic risk. Obesity (Silver Spring), 17, S3–S14. doi:10.1038/oby.2009.382 CrossRef

Jefferson, A. L., Gibbons, L. E., Rentz, D. M., Carvalho, J. O., Manly, J., Bennett, D. A., et al. (2011). A life course model of cognitive activities, socioeconomic status, education, reading ability, and cognition. Journal of the American Geriatrics Society, 59, 1403–1411. doi:10.1111/j.1532-5415.2011.03499.x PubMedCentralPubMedCrossRef

Kalmijn, S., Feskens, E. J., Launer, L. J., & Kromhout, D. (1996). Cerebrovascular disease, the apolipoprotein e4 allele, and cognitive decline in a community-based study of elderly men. Stroke, 27, 2230–2235.PubMedCrossRef

Kamboh, M. I., Rewers, M., Aston, C. E., & Hamman, R. F. (1997). Plasma apolipoprotein A-I, apolipoprotein B, and lipoprotein(a) concentrations in normoglycemic Hispanics and non-Hispanic whites from the San Luis Valley, Colorado. American Journal of Epidemiology, 146, 1011–1018.PubMedCrossRef

Karno, M., Burnam, A., Escobar, J. I., Hough, R. L., & Eaton, W. W. (1983). Development of the Spanish-language version of the National Institute of Mental Health Diagnostic Interview Schedule. Archives of General Psychiatry, 40, 1183–1188.PubMedCrossRef

Kivipelto, M., Helkala, E. L., Laakso, M. P., Hanninen, T., Hallikainen, M., Alhainen, K., et al. (2002). Apolipoprotein E epsilon4 allele, elevated midlife total cholesterol level, and high midlife systolic blood pressure are independent risk factors for late-life Alzheimer disease. Annals of Internal Medicine, 137, 149–155.PubMedCrossRef

Kuusisto, J., Koivisto, K., Mykkanen, L., Helkala, E. L., Vanhanen, M., Hanninen, T., et al. (1997). Association between features of the insulin resistance syndrome and Alzheimer’s disease independently of apolipoprotein E4 phenotype: Cross sectional population based study. BMJ (Clinical Research edition), 315, 1045–1049.CrossRef

Launer, L. J., Ross, G. W., Petrovitch, H., Masaki, K., Foley, D., White, L. R., et al. (2000). Midlife blood pressure and dementia: The Honolulu-Asia aging study. Neurobiology of Aging, 21, 49–55.PubMedCrossRef

Loewenstein, D. A., Arguelles, T., Barker, W. W., & Duara, R. (1993). A comparative analysis of neuropsychological test performance of Spanish-speaking and English-speaking patients with Alzheimer’s disease. Journal of Gerontology, 48, P142–P149.PubMedCrossRef

Luchsinger, J. A., Tang, M. X., Shea, S., & Mayeux, R. (2004). Hyperinsulinemia and risk of Alzheimer disease. Neurology, 63, 1187–1192.PubMedCrossRef

Luo, Y., & Waite, L. J. (2005). The impact of childhood and adult SES on physical, mental, and cognitive well-being in later life. The Journals of Gerontology. Series B, Psychological Sciences and Social Sciences, 60, S93–S101.PubMedCentralPubMedCrossRef

Luria, A. R. (1966). Human brain and psychological processes. New York: Harper & Row.

Luria, A. R. (1980). Higher cortical functions of man (2nd ed.). New York: Basic Books.CrossRef

Masel, M. C., & Peek, M. K. (2009). Ethnic differences in cognitive function over time. Annals of Epidemiology, 19, 778–783. doi:10.1016/j.annepidem.2009.06.008 PubMedCentralPubMedCrossRef

Masel, M. C., Raji, M., & Peek, M. K. (2010). Education and physical activity mediate the relationship between ethnicity and cognitive function in late middle-aged adults. Ethnicity & Health, 15, 283–302. doi:10.1080/13557851003681273 CrossRef

McIntyre, R. S., Rasgon, N. L., Kemp, D. E., Nguyen, H. T., Law, C. W., Taylor, V. H., et al. (2009). Metabolic syndrome and major depressive disorder: Co-occurrence and pathophysiologic overlap. Current Diabetes Reports, 9, 51–59.PubMedCrossRef

Meigs, J. B., Wilson, P. W., Nathan, D. M., D’Agostino, R. B., Sr, Williams, K., & Haffner, S. M. (2003). Prevalence and characteristics of the metabolic syndrome in the San Antonio Heart and Framingham Offspring Studies. Diabetes, 52, 2160–2167.PubMedCrossRef

Mulgrew, C. L., Morgenstern, N., Shetterly, S. M., Baxter, J., Baron, A. E., & Hamman, R. F. (1999). Cognitive functioning and impairment among rural elderly Hispanics and non-Hispanic whites as assessed by the Mini-Mental State Examination. The Journals of Gerontology. Series B, Psychological Sciences and Social Sciences, 54, 223–230.CrossRef

Munshi, M., Grande, L., Hayes, M., Ayres, D., Suhl, E., Capelson, R., et al. (2006). Cognitive dysfunction is associated with poor diabetes control in older adults. Diabetes Care, 29, 1794–1799. doi:10.2337/dc06-0506 PubMedCentralPubMedCrossRef

Ownby, R. L., Crocco, E., Acevedo, A., John, V., & Loewenstein, D. (2006). Depression and risk for Alzheimer disease: Systematic review, meta-analysis, and metaregression analysis. Archives of General Psychiatry, 63, 530–538. doi:10.1001/archpsyc.63.5.530 PubMedCentralPubMedCrossRef

Pleis, J. R., Ward, B. W., & Lucas, J. W. (2010). Summary health statistics for U.S. adults: National Health Interview Survey, 2009. Vital Health Statistics, 10, 1–207.

Radloff L. S. (1977). The CES-D Scale: A self-report depression scale for research in the general population. Applied Psychological Measurement, 1, 385–401.CrossRef

Raji, M. A., Reyes-Ortiz, C. A., Kuo, Y. F., Markides, K. S., & Ottenbacher, K. J. (2007). Depressive symptoms and cognitive change in older Mexican Americans. Journal of Geriatric Psychiatry and Neurology, 20, 145–152.PubMedCrossRef

Rotkiewicz-Piorun, A. M., Al, S. S., Raji, M. A., Kuo, Y. F., & Markides, K. S. (2006). Cognitive decline in older Mexican Americans with diabetes. Journal of the National Medical Association, 98, 1840–1847.PubMedCentralPubMed

Royall, D. R., Espino, D. V., Polk, M. J., Palmer, R. F., & Markides, K. S. (2004). Prevalence and patterns of executive impairment in community dwelling Mexican Americans: results from the Hispanic EPESE Study. International Journal of Geriatric Psychiatry, 19, 926–934. doi:10.1002/gps.1185 PubMedCrossRef

Steis, M. R., & Schrauf, R. W. (2009). A review of translations and adaptations of the Mini-Mental State Examination in languages other than English and Spanish. Research in Gerontological Nursing, 2, 214–224. doi:10.3928/19404921-20090421-06 PubMedCrossRef

Swadesh, F. L. (1974). Los Primeros Pobladores: Hispanic Americans of the Ute Frontier. Notre Dame, Indiana: University of Notre Dame Press.

Taussig, I. M., Mack, W. J., & Henderson, V. W. (1996). Concurrent validity of Spanish-language versions of the Mini-Mental State Examination, Mental Status Questionnaire, Information-Memory-Concentration test, and Orientation-Memory-Concentration test: Alzheimer’s disease patients and nondemented elderly comparison subjects. Journal of the International Neuropsychological Society, 2, 286–298.PubMedCrossRef

Teresi, J. A., Golden, R. R., Cross, P., Gurland, B., Kleinman, M., & Wilder, D. (1995). Item bias in cognitive screening measures: Comparisons of elderly white, Afro-American, Hispanic and high and low education subgroups. Journal of Clinical Epidemiology, 48, 473–483.PubMedCrossRef

Vanhanen, M., Koivisto, K., Kuusisto, J., Mykkanen, L., Helkala, E. L., Hanninen, T., et al. (1998). Cognitive function in an elderly population with persistent impaired glucose tolerance. Diabetes Care, 21, 398–402.PubMedCrossRef

Whitmer, R. A., Gustafson, D. R., Barrett-Connor, E., Haan, M. N., Gunderson, E. P., & Yaffe, K. (2008). Central obesity and increased risk of dementia more than three decades later. Neurology, 71, 1057–1064. doi:10.1212/01.wnl.0000306313.89165.ef PubMedCrossRef

Williams, J. W., Plassman, B. L., Burke, J., Holsinger, T., & Benjamin, S. (2010). Preventing Alzheimer’s Disease and Cognitive Decline. Evidence Report/Technology Assessment No. 193. (Prepared by the Duke Evidence-based Practice Center under Contract No. HHSA 290-2007-10066-I) AHRQ Publication No. 10-E005. Rockville, MD: Agency for Healthcare Research and Quality.

Wilson, R. S., Mendes De Leon, C. F., Barnes, L. L., Schneider, J. A., Bienias, J. L., Evans, D. A., et al. (2002). Participation in cognitively stimulating activities and risk of incident Alzheimer disease. JAMA: The Journal of the American Medical Association, 287, 742–748.CrossRef

Yaffe, K., Haan, M., Blackwell, T., Cherkasova, E., Whitmer, R. A., & West, N. (2007). Metabolic syndrome and cognitive decline in elderly Latinos: Findings from the Sacramento Area Latino Study of Aging study. Journal of the American Geriatrics Society, 55, 758–762.PubMedCrossRef

Yaffe, K., Kanaya, A., Lindquist, K., Simonsick, E. M., Harris, T., Shorr, R. I., et al. (2004). The metabolic syndrome, inflammation, and risk of cognitive decline. JAMA: The Journal of the American Medical Association, 292, 2237–2242.CrossRef

Titel: Cognitive decline and cardiometabolic risk among Hispanic and non-Hispanic white adults in the San Luis Valley Health and Aging Study
Auteurs: Kerry L. Hildreth
Jim Grigsby
Lucinda L. Bryant
Pamela Wolfe
Judith Baxter
Publicatiedatum: 01-04-2014
Uitgeverij: Springer US
Gepubliceerd in: Journal of Behavioral Medicine / Uitgave 2/2014
Print ISSN: 0160-7715
Elektronisch ISSN: 1573-3521
DOI: https://doi.org/10.1007/s10865-013-9491-z

Bohn Stafleu van Loghum

Deel dit onderdeel of sectie (kopieer de link)

Abstract

Log in om toegang te krijgen

Andere artikelen Uitgave 2/2014

Changing how I feel about the food: experimentally manipulated affective associations with fruits change fruit choice behaviors

Differential medication nonadherence and illness beliefs in co-morbid HIV and type 2 diabetes

Videos to influence: a systematic review of effectiveness of video-based education in modifying health behaviors

Predictors of parent–child relationships that support physical activity in Mexican–American families

Using a combined protection motivation theory and health action process approach intervention to promote exercise during pregnancy

Impact of a brief intervention on physical activity and social cognitive determinants among working mothers: a randomized trial