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Shorter Adult Stature Increases the Impact of Risk Factors for Cognitive Impairment: A Comparison of Two Nordic Twin Cohorts

Published online by Cambridge University Press:  21 February 2012

Venla S. Laitala ,
Jacob Hjelmborg ,
Markku Koskenvuo ,
Ismo Räihä ,
Juha O. Rinne ,
Kaare Christensen ,
Jaakko Kaprio  and
Karri Silventoinen
Venla S. Laitala*
Affiliation:
Department of Public Health, University of Helsinki, Finland
Jacob Hjelmborg
Affiliation:
The Danish Twin Registry and Danish Aging Research Center, University of Southern Denmark, Odense, Denmark
Markku Koskenvuo
Affiliation:
Department of Public Health, University of Helsinki, Finland
Ismo Räihä
Affiliation:
Department of Family Medicine, University of Turku, Finland Department of Family Medicine, University Hospital of Turku, Finland
Juha O. Rinne
Affiliation:
Turku PET Centre, University of Turku, Finland
Kaare Christensen
Affiliation:
The Danish Twin Registry and Danish Aging Research Center, University of Southern Denmark, Odense, Denmark Department of Clinical Biochemistry and Pharmacology and Department of Clinical Genetics, Odense University Hospital, Odense, Denmark
Jaakko Kaprio
Affiliation:
Department of Public Health, University of Helsinki, Finland Department of Mental Health and Substance Abuse Services, National Institute for Health and Welfare, Finland Institute for Molecular Medicine, Helsinki, Finland
Karri Silventoinen
Affiliation:
Department of Public Health, University of Helsinki, Finland Demographic Research Unit, Department of Social Research, University of Helsinki, Finland
*
ADDRESS FOR CORRESPONDENCE: Venla Laitala, Department of Public Health, P.O. Box 41 Mannerheimintie 172, 00014 University of Helsinki, Finland. E-mail: venla.laitala@helsinki.fi

Abstract

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We analyzed the association between mean height and old age cognition in two Nordic twin cohorts with different childhood living conditions. The cognitive performance of 4720 twin individuals from Denmark (mean age 81.6 years, SD = 4.59) and Finland (mean age 74.4 years, SD = 5.26) was measured using validated cognitive screens. Taller height was associated with better cognitive performance in Finland (β-estimates 0.18 SD/10cm, p value < .001, for men and 0.13 SD, p = .008, for women), but this association was not significant in Denmark (β-estimates 0.0093 SD, p value = .16, for men and 0.0075 SD, p value = .016, for women) when adjusted for age and education/social class. Among Finnish participants higher variability of cognitive performance within shorter height quintiles was observed. Analysis using gene-environment interaction models showed that environmental factors exerted a greater impact on cognitive performance in shorter participants, whereas in taller participants' it was explained mainly by genetic factors. Our results suggest that shorter participants with childhood adversity are more vulnerable to environmental risk factors for cognitive impairment.

Keywords

twinsgeneticsheightcognitiondementiarisk factor
Type
Articles
Information
Twin Research and Human Genetics , Volume 14 , Issue 6 , December 2011 , pp. 544 - 552
Copyright
Copyright © Cambridge University Press 2011

References

Abbott, R. D., White, L. R., Ross, G. W., Petrovitch, H., Masaki, K. H., Snowdon, D. A., & Curb, J. D. (1998). Height as a marker of childhood development and latelife cognitive function: The Honolulu-Asia aging study. Pediatrics, 102, 602–609.CrossRefGoogle ScholarPubMed
Amiri, M., Kunst, A. E., Janssen, F., & Mackenbach, J. P. (2006). Cohort-specific trends in stroke mortality in seven European countries were related to infant mortality rates. Journal of Clinical Epidemiology, 59, 1295–1302.CrossRefGoogle ScholarPubMed
Andrew, T., Hart, D. J., Snieder, H., de Lange, M., Spector, T. D., & MacGregor, A. J. (2001). Are twins and singletons comparable? A study of disease-related and lifestyle characteristics in adult women. Twin Research, 4, 464–477.CrossRefGoogle ScholarPubMed
Barker, D. J. (2005). The developmental origins of insulin resistance. Hormone Research, 64, 2–7.CrossRefGoogle ScholarPubMed
Beeri, M. S., Davidson, M., Silverman, J. M., Noy, S., Schmeidler, J., & Goldbourt, U. (2005). Relationship between body height and dementia. American Journal of Geriatric Psychiatry, 13, 116–123.CrossRefGoogle ScholarPubMed
Borenstein, A. R., Copenhaver, C. I., & Mortimer, J. A. (2006). Early-life risk factors for Alzheimer disease. Alzheimer Disease & Associated Disorders, 20, 63–72.CrossRefGoogle ScholarPubMed
Brandt, J., Spencer, M., & Folstein, M. (1988). The telephone interview for cognitive status. Neuropsychiatry, Neuropsychology, & Behavioral Neurology, 1, 111–117.Google Scholar
Brandt, J., Welsh, K. A., Breitner, J. C., Folstein, M. F., Helms, M., & Christian, J. C. (1993). Hereditary influences on cognitive functioning in older men. A study of 4000 twin pairs. Archives of Neurology, 50, 599–603.CrossRefGoogle Scholar
Christensen, K., Holm, N. V., McGue, M., Corder, L., & Vaupel, J. W. (1999). A danish population-based twin study on general health in the elderly. Journal of Aging & Health, 11, 49–64.CrossRefGoogle ScholarPubMed
Christiansen, L., Frederiksen, H., Schousboe, K., Skytthe, A., von Wurmb-Schwark, N., Christensen, K., & Kyvik, K. (2003). Age- and sex-differences in the validity of questionnaire-based zygosity in twins. Twin Research, 6, 275–278.CrossRefGoogle ScholarPubMed
Gapminder Foundation. (2010). Under-five mortality rate (per 1,000 live births). Retrieved from www.gapminder.orgGoogle Scholar
Gatz, M., Mortimer, J. A., Fratiglioni, L., Johansson, B., Berg, S., Reynolds, C. A., & Pedersen, N. L. (2006). Potentially modifiable risk factors for dementia in identical twins. Alzheimer's & Dementia, 2, 110–117.CrossRefGoogle ScholarPubMed
Gatz, M., Reynolds, C., Nikolic, J., Lowe, B., Karel, M., & Pedersen, N. (1995). An empirical test of telephone screening to identify potential dementia cases. International Psychogeriatrics, 7, 429–438.CrossRefGoogle ScholarPubMed
Hauge, M. (1981). The Danish twin registry. Oxford, UK: Oxford Medical Publications.Google Scholar
Holm, N. V. (1983). The use of twin studies to investigate causes of diseases with complex etiology, with focus on cancer. Odense, Denmark: Odense University.Google Scholar
Huang, T. L., Carlson, M. C., Fitzpatrick, A. L., Kuller, L. H., Fried, L. P., & Zandi, P. P. (2008). Knee height and arm span: A reflection of early life environment and risk of dementia. Neurology, 70, 1818–1826.CrossRefGoogle Scholar
Hur, Y. M., Kaprio, J., Iacono, W. G., Boomsma, D. I., McGue, M., Silventoinen, K., Martin, N. G., Luciano, M., Visscher, P. M., Rose, R. J., He, M., Ando, J., Ooki, S., Nonaka, K., Lin, C. C., Lajunen, H. R., Cornes, B. K., Bartels, M., van Beijsterveldt, C. E., Cherny, S. S., & Mitchell, K. (2008). Genetic influences on the difference in variability of height, weight and body mass index between caucasian and east Asian adolescent twins. International Journal of Obesity, 32, 1455–1467.CrossRefGoogle Scholar
Järvenpää, T., Rinne, J. O., Koskenvuo, M., Räihä, I., & Kaprio, J. (2005). Binge drinking in midlife and dementia risk. Epidemiology, 16, 766–771.Google ScholarPubMed
Järvenpää, T., Rinne, J. O., Räihä, I., Koskenvuo, M., Lopponen, M., Hinkka, S., & Kaprio, J. (2002). Characteristics of two telephone screens for cognitive impairment. Dementia & Geriatric Cognitive Disorders, 13, 149–155.CrossRefGoogle ScholarPubMed
Jeong, S. K., Kim, J. M., Kweon, S. S., Shin, M. H., Seo, M. W., & Kim, Y. H. (2005). Does arm length indicate cognitive and functional reserve? International Journal of Geriatric Psychiatry, 20, 406–412.CrossRefGoogle ScholarPubMed
Kaprio, J., & Koskenvuo, M. (2002). Genetic and environmental factors in complex diseases: The older Finnish twin cohort. Twin Research, 5, 358–365.CrossRefGoogle ScholarPubMed
Kim, J. M., Stewart, R., Shin, I. S., & Yoon, J. S. (2003). Limb length and dementia in an older Korean population. Journal of Neurology, Neurosurgery & Psychiatry, 74, 427–432.CrossRefGoogle Scholar
Kondo, K., Niino, M., & Shido, K. (1994). A case-control study of Alzheimer's disease in Japan—significance of life-styles. Dementia, 5, 314–326.Google ScholarPubMed
Laitala, V. S., Kaprio, J., Koskenvuo, M., Räihä, I., Rinne, J. O., & Silventoinen, K. (2009). Coffee drinking in middle age is not associated with cognitive performance in old age. The American Journal of Clinical Nutrition, 90, 640–646.CrossRefGoogle Scholar
Lee, T., Henry, J. D., Trollor, J. N., & Sachdev, P. S. (2010). Genetic influences on cognitive functions in the elderly: A selective review of twin studies. Brain Research Reviews, 64, 1–13.CrossRefGoogle ScholarPubMed
Maddison, A. (2003). The world economy: Historical statistics. Development Centre of the Organization for Economic Co-operation and Development, ©2003.CrossRefGoogle Scholar
Magnus, S. A., & Mick, S. S. (2000). Medical schools, affirmative action, and the neglected role of social class. American Journal of Public Health, 90, 1197–1201.Google ScholarPubMed
Mak, Z., Kim, J. M., & Stewart, R. (2006). Leg length, cognitive impairment and cognitive decline in an African-Caribbean population. International Journal of Geriatric Psychiatry, 21, 266–272.CrossRefGoogle Scholar
Malleson, P. N. (1991). Pain syndromes, disability, and chronic disease in childhood. Current Opinion in Rheumatology, 3, 860–866.CrossRefGoogle ScholarPubMed
McGarvey, B., Gabrielli, W. F. Jr, Bentler, P. M., & Mednick, S. A. (1981). Rearing social class, education, and criminality: A multiple indicator model. Journal of Abnormal Psychology, 90, 354–364.CrossRefGoogle ScholarPubMed
McGue, M., & Christensen, K. (2001). The heritability of cognitive functioning in very old adults: Evidence from Danish twins aged 75 years and older. Psychology & Aging, 16, 272–280.CrossRefGoogle ScholarPubMed
McGue, M., & Christensen, K. (2002). The heritability of level and rate-of-change in cognitive functioning in Danish twins aged 70 years and older. Experimental Aging Research, 28, 435–451.CrossRefGoogle ScholarPubMed
Mitchell, B. R. (1978.). European historical statistics 1750–1970 (Abridged, ed.). Alphen aan den Rijn: Sijthoff & Noordhoff.Google Scholar
Moceri, V. M., Kukull, W. A., Emanuel, I., van Belle, G., & Larson, E. B. (2000). Early-life risk factors and the development of Alzheimer's disease. Neurology, 54, 415–420.CrossRefGoogle ScholarPubMed
Neale, M. C. (2003). Mx: Statistical modeling. Richmond, VA: Department of Psychiatry.Google Scholar
Nicklas, T. A. (2003). Calcium intake trends and health consequences from childhood through adulthood. Journal of the American College of Nutrition, 22, 340–356.CrossRefGoogle ScholarPubMed
Petot, G. J., Vega, U., Traore, F., Fritsch, T., Debanne, S. M., Friedland, R. P., & Lerner, A. J. (2007). Height and Alzheimer's disease: Findings from a case-control study. Journal of Alzheimer's Disease, 11, 337–341.CrossRefGoogle ScholarPubMed
Purcell, S. (2002). Variance components models for geneenvironment interaction in twin analysis. Twin Research, 5, 554–571.CrossRefGoogle ScholarPubMed
Riley, K. P., Snowdon, D. A., Desrosiers, M. F., & Markesbery, W. R. (2005). Early life linguistic ability, late life cognitive function, and neuropathology: Findings from the nun study. Neurobiology of Aging, 26, 341–347.CrossRefGoogle ScholarPubMed
Sarna, S., Kaprio, J., Sistonen, P., & Koskenvuo, M. (1978). Diagnosis of twin zygosity by mailed questionnaire. Human Heredity, 28, 241–254.CrossRefGoogle ScholarPubMed
Sawaya, A. L., Sesso, R., Florencio, T. M., Fernandes, M. T., & Martins, P. A. (2005). Association between chronic undernutrition and hypertension. Maternal & Child Nutrition, 1, 155–163.CrossRefGoogle ScholarPubMed
Silventoinen, K., Kaprio, J., & Lahelma, E. (2000). Genetic and environmental contributions to the association between body height and educational attainment: A study of adult Finnish twins. Behavior Genetics, 30, 477–485.CrossRefGoogle Scholar
Silventoinen, K., Kaprio, J., Lahelma, E., & Koskenvuo, M. (2000). Relative effect of genetic and environmental factors on body height: Differences across birth cohorts among Finnish men and women. American Journal of Public Health, 90, 627–630.Google ScholarPubMed
Silventoinen, K., Lahelma, E., Lundberg, O., & Rahkonen, O. (2001). Body height, birth cohort and social background in finland and sweden. European Journal of Public Health, 11, 124–129.CrossRefGoogle ScholarPubMed
Silventoinen, K., Magnusson, P. K., Tynelius, P., Kaprio, J., & Rasmussen, F. (2008). Heritability of body size and muscle strength in young adulthood: A study of one million Swedish men. Genetic Epidemiology, 32, 341–349.CrossRefGoogle ScholarPubMed
Silventoinen, K., Sammalisto, S., Perola, M., Boomsma, D. I., Cornes, B. K., Davis, C., Dunkel, L., De Lange, M., Harris, J. R., Hjelmborg, J. V., Luciano, M., Martin, N. G., Mortensen, J., Nistico, L., Pedersen, N. L., Skytthe, A., Spector, T.D., Stazi, M. A., Willemsen, G., Kaprio, J. (2003). Heritability of adult body height: A comparative study of twin cohorts in eight countries. Twin Research, 6, 399–408.CrossRefGoogle ScholarPubMed
Skuse, D., Albanese, A., Stanhope, R., Gilmour, J., & Voss, L. (1996). A new stress-related syndrome of growth failure and hyperphagia in children, associated with reversibility of growth-hormone insufficiency. Lancet, 348, 353–358.CrossRefGoogle ScholarPubMed
Skytthe, A., Kyvik, K., Bathum, L., Holm, N., Vaupel, J. W., & Christensen, K. (2006). The Danish twin registry in the new millennium. Twin Research & Human Genetics: The Official Journal of the International Society for Twin Studies, 9, 763–771.CrossRefGoogle ScholarPubMed
Staff, J., & Mortimer, J. T. (2008). Social class background and the school-to-work transition. New Directions for Child & Adolescent Development, 119, 55–69.CrossRefGoogle Scholar
Turpeinen, O. (1979). Fertility and mortality in Finland since 1750. Population Studies, 33, 101–114.CrossRefGoogle ScholarPubMed
Weiner, M. F., Risser, R. C., Cullum, C. M., Honig, L., White, C. 3rd, Speciale, S., & Rosenberg, R. N. (1996). Alzheimer's disease and its lewy body variant: A clinical analysis of postmortem verified cases. American Journal of Psychiatry, 153, 1269–1273.Google ScholarPubMed
Whalley, L. J., Starr, J. M., Athawes, R., Hunter, D., Pattie, A., & Deary, I. J. (2000). Childhood mental ability and dementia. Neurology, 55, 1455–1459.CrossRefGoogle ScholarPubMed
Williams, R. L. (2000). A note on robust variance estimation for cluster-correlated data. Biometrics, 56, 645–646.CrossRefGoogle ScholarPubMed
Wu, T. C., & Chen, P. H. (2009). Health consequences of nutrition in childhood and early infancy. Pediatrics & Neonatology, 50, 135–142.CrossRefGoogle ScholarPubMed
Yehuda, S., Rabinovitz, S., & Mostofsky, D. I. (2006). Nutritional deficiencies in learning and cognition. Journal of Pediatric Gastroenterology & Nutrition, 43, S22–5.CrossRefGoogle ScholarPubMed