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Risk Factors for Cognitive Aging in Adult Twins

Published online by Cambridge University Press:  01 August 2014

K. Hayakawa*
Affiliation:
Departments of Public Health, Osaka, Japan
T. Shimizu
Affiliation:
Departments of Public Health, Osaka, Japan
Y. Ohba
Affiliation:
Departments of Clinical Pathology, Osaka, Japan
S. Tomioka
Affiliation:
Central Clinical Laboratory, Kinki University School of Medicine, Osaka, Japan
*
Department of Public Health, Kinki University, School of Medicine, 377-Ohno-Higashi, Osaka-Sayama, Osaka 589, Japan

Abstract

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Monozygotic (MZ) and dizygotic (DZ) twins in later adulthood were studied in order to examine genetic and environmental contributions to the decline of cognitive performance. In this study, 118 twin pairs took a comprehensive medical examination at a university hospital. Cognitive function was measured by the Wechsler Adult Intelligence Scale (WAIS). The intraclass correlation coefficients on Digit Span (D) and Digit Symbol (DS) subtests of the WAIS did not show any significant difference between MZ and DZ twins although Block Design (BD) showed a significant difference. The values of the intraclass correlation coefficients were mostly around 0.5 and showed significant within-pair similarity of test scores. The mean score of D, DS and BD declined with advancing age. The intraclass correlation coefficients for D, DS and BD were around 0.2 in the MZ twins reared apart, and around 0.6 in the MZ twins reared together. These results indicated a significant environmental influence on cognitive aging in later adulthood.

Type
Research Article
Copyright
Copyright © The International Society for Twin Studies 1992

References

REFERENCES

1. Bouchard, JJ, McGue, M (1981): Familial studies of intelligence. Science 212: 10551059.CrossRefGoogle ScholarPubMed
2. Breitner, JCS, Murphy, E, Woodbury, MA (1991): Case-control studies of environmental influences in diseases with genetic determinants with an application to Alzheimer's disease Am J Epidemiol 133: 246256.CrossRefGoogle ScholarPubMed
3. De Fries, JC, Fuker, DW, La Buda, MC (1987): Evidence for a genetic aetiology in reading disability of twins. Nature 329: 537539.Google Scholar
4. Fillenbaum, GC, Hughes, DC, etal (1988): Relationship of health and demographic characteristics to Mini-Mental State Examination score among community residents. Psychol Med 18: 719726.Google Scholar
5. Fischbein, S (1979): Intra-pair similarity in IQ of monozygotic and dizygotic male twins at 12 and 18 of age. Ann. Hum. Biol. 6: 495504.CrossRefGoogle ScholarPubMed
6. Goate, A, Chartier-Hartin, MC, Mullan, M, et al (1991): Segregation of a missense mutation in the amyloid precursor protein gene with familiar Alzheimer's disease. Nature 349: 704706.CrossRefGoogle Scholar
7. Hayakawa, K and Shimizu, T (1987): Blood pressure discordance and lifestyle: Japanese identical twins reared apart and together Acta Genet Med Gemellol 36: 485491.Google Scholar
8. Hayakawa, K (1987): Smoking and drinking discordance and health conditions: Japanese identical twins reared apart and together Acta Genet Med Gemellol 36: 493501.Google Scholar
9. Hayakawa, K, Shimizu, T, Ohba, Y, Tomioka, S (1987): Lifestyle factors affecting intrapair differences of serum apoproteins and cholesterol concentrations in adult twins. Atherosclerosis 66: 19.CrossRefGoogle Scholar
10. Hayakawa, K (1988): Gemellological study on genetic and environmental factors affecting serum concentrations of lipids and electrolytes in adult twins. Jpn J Hygien 43: 763777.CrossRefGoogle Scholar
11. Hayakawa, K and Shimizu, T (1991): Genetics and environments in twin studies. In Morimoto, K (ed.). Lifestyle and Health. Tokyo: Igakushoin pp. 247257.Google Scholar
12. Holzer, CF, Tischer, GL, et al (1984): An epidemiologic assessment of cognitive impairment in a community population. In Research in Community and Mental Health (vol. 4), Greenwich: JAI Press.Google Scholar
13. Ishii, T (1983): Alzheimer's disease Tokyo: Seiwa Shoten Pub. pp. 3239.Google Scholar
14. Ishikawa, E (1979): New statistics. Tokyo: Maki Publishing.Google Scholar
15. Jorm, AF (1991): The epidemiology of Alzheimer's disease and related disorders. Melbourne: Chapman & Hall p. 144.Google Scholar
16. Kallman, FJ, Sounder, G (1949): Twin studies on senescence. Am J Psychiatry 106:2936.Google Scholar
17. Kallman, FJ, Feingold, L, Bondy, E (1951): Comparative adaptational, social and psychometric data on the life histories of senescent twin pairs. Am J Hum Genet 3:6573.Google Scholar
18. Kramer, M, German, PS, et al (1985): Patterns of mental disorders among the elderly residents of eastern Baltimore. J Am Geriatr Soc 33: 236245.CrossRefGoogle ScholarPubMed
19. Rjandal, T (1991): Alzheimer's disease: a disease of the elderly or simply aging phenomena (in Japanese) JAMA 3:14.Google Scholar
20. Snedecor, GW, Cochran, W (1967): Statistical methods (6th ed). Iowa State Univ Press.Google Scholar
21. Stern, C (1973): Principles of human genetics (3rd ed.). San Francisco: WH Freeman and Co. pp. 635684.Google Scholar
22. St. George-Hyslop, PH, Tanzi, R, Polinsky, RJ, et al (1987): The genetic defect causing familial Alzheimer maps on chromosome 21 Science 235: 855890.Google ScholarPubMed
23. St. George-Hyslop, PH, Myers, RH, et al (1989): Familial Alzheimer's disease; progress and problems. Neurology of Aging 10: 417425.CrossRefGoogle Scholar
24. Swan, GE, Cannelli, D, et al (1990): Heredity of cognitive performance in aging twins. Arch Neurol 47: 259262.Google Scholar
25. Yu, ESH, Lie, WT, et al (1989): Cognitive impairment among elderly adults in Shanghai, China.J Gerontol Soc. Sci. 44: 97106.Google Scholar
26. Zimmerman, IL, Woo-Sam, JM (1973): Clinical interpretation of the Wechsler Adult Intelligence Scale. New York: Grune & Stratton.Google Scholar