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Aspects of Social Epidemiology in the Study of Alzheimer's Disease in Saguenay (Québec)/IMAGE Project*

Published online by Cambridge University Press:  29 November 2010

Abstract

Based on a hypothesis that the cause of Alzheimer's Disease (AD) is multifactorial, we explored the possible links between the geographical distribution of 102 subjects diagnosed as “definite,” “probable” or “possible” cases at the onset of the disease and the social ecology of the Chicoutimi-Jonquière (CJ) urban area in the Saguenay region of Québec. We were also interested in the level of education of the 74 “definite” and “probable” cases. The use of factor analysis (principal components) and cluster analysis (Ward method) made it possible for us to identify socioeconomic zones and homogeneous social areas in CJ. The first results indicate that on the one hand, the male/female ratio of the cases differs statistically from that of the at-risk age group in the general population. The disease affects more women than men. On the other hand, there is significant social differentiation in CJ. Nevertheless, the 102 subjects are randomly distributed among the three socio-economic zones as well as among the eight social areas. Analysis of the geographical distribution of “definite” and “probable” cases also suggests a random distribution. The random nature of the distribution of subjects is confirmed by a very strong correspondence between the distribution of cases observed when counting them by enumeration area or census tract and Poisson's theoretical distribution. There was a significant difference between the subjects' level of education and that of the 65 years old and over in the reference population. A more in-depth case-control study might shed more light on this aspect.

Résumé

Se fondant sur l'hypothèse d'une origine multifactorielle de la maladie d'Alzheimer (MA), nous explorons les liens possibles entre la répartition géographique de 102 sujets diagnostiqués « définitifs, » « probables » et « possibles » à la survenue de la maladie, et l'écologie sociale de l'agglomération de Chicoutimi-Jonquière (ACJ) au Saguenay (Québec). Nous nous intéressons également au niveau de scolarité de 74 sujets « définitifs » et « probables ». Les méthodes de l'analyse factorielle (en composantes principales) et de l'analyse de groupement (méthode Ward) ont permis d'identifier des zones socio-économiques et des aires sociales homogènes dans l'ACJ. Les premiers résultats indiquent, d'une part, que le rapport de masculinité observé chez les cas de MA diffère statistiquement de celui du groupe d'âge à risque (45 ans et plus) dans la population saguenéenne. La maladie affecte plus de femmes que d'hommes. D'autre part, des analyses d'eacute;cologie sociale ont établi qu'il existe une différenciation sociale significative dans l'ACJ, soit trois zones socio-économiques et huit aires sociales distinctes. Cependant, les 102 sujets se répartissent aléatoirement dans l'ensemble de l'ACJ, quelque soit la zone socio-économique ou l'aire sociale considérée. L'analyse de la répartition géographique du groupe que constituent les cas « définitifs » et « probables » suggère également une distribution au hasard. Le caractère aléatoire de la répartition des sujets est confirmé par une très forte correspondance entre, d'une part, la distribution observée des cas par secteur de dénombrement ou par secteur de recensement et, d'autre part, la distribution théorique de Poisson. Il existe une différence significative entre la scolarité des sujets et celle de la population âgée de 65 ans et plus. Une étude plus approfondie, de type cas-témoins par exemple, devrait nous permettre éventuellement de faire la lumière à ce chapitre.

Type
Articles
Copyright
Copyright © Canadian Association on Gerontology 1993

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References

Bank, L., & Jarvik, L.F. (1978). A Longitudinal Study of Aging Human Twins. In Schneider, E.L. (Ed.), The Genetics of Aging (pp. 303333). New York: Plenum Press.CrossRefGoogle Scholar
Berkman, L.F. (1986). The Association Between Educational Attainment and Mental Status Examinations: of Etiologic Significance for Senile Dementias or Not? Journal of Chronic Diseases, 39, 171174.CrossRefGoogle ScholarPubMed
Bernard, P.M., & Lapointe, C. (1987). Mesures statistiques en épidémiologie. Québec: Presses de l'Université du Québec.Google Scholar
Chandra, V., Philipose, V., Bell, P.A., Lazaroff, A., & Schoenberg, B.S. (1987). Case-Control Study of Late Onset “Probable” Alzheimer's Disease. Neurology, 37, 12951300.CrossRefGoogle ScholarPubMed
Daniel, W.W. (1987). Biostatistics: a Foundation for Analysis in the Health Sciences. New York: J. Wiley.Google Scholar
Dartigues, J.F., Gagnon, M., Michel, P., Letenneur, L., Commenges, D., Barberger-Gateau, P., Auriacombe, S., Rigal, B., Bedry, R., Alperovitch, A., Orgogozo, J.M., Henry, P., Loiseau, P., & Salomon, R. (1991). Le programme de recherche PAQUID sur l'épidémiologie de la démence. Méthodes et résultats initiaux. Revue Neurological, 147, 225230.Google Scholar
Emard, J.F., Thouez, J.P., Mathieu, J., Boily, C., Beaudry, M., Cholette, A., Robitaille, Y., Bouchard, R., & Gauvreau, D. (1992). Résultats préliminaires sur la repartition géographique de la maladie d'Alzheimer au Saguenay-Lac-Saint-Jean/Québec (Projet IMAGE). Cahiers de Géographie du Québec, 36, 6175.CrossRefGoogle Scholar
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. Journal of Nervous Mental Diseases, 174, 607614.CrossRefGoogle Scholar
Fisch, M., Goldfab, A.L., Shahinian, S.P., & Turner, H. (1968). Chronic Brain Syndrome in the Community Aged. Archives of Genetic Psychiatry, 18, 739745.CrossRefGoogle ScholarPubMed
Fratiglioni, L., Grut, M., Forsell, Y., Viitanen, M., Grafstrom, N., Holmen, K., Ericsson, K., Backman, L., Ahlbom, A., & Winblad, B. (1991). Prevalence of Alzheimer's Disease and Other Dementias in an Elderly Urban Population: Relationship With Age, Sex, and Education. Neurology, 41, 188b–192.CrossRefGoogle Scholar
Frisbie, N.P., Posten, D.L., & Eberstein, I.W. (1976). Social, Demographic and Economic Characteristics of Texas Counties and Census Tracts: A Description and Social Area Analysis. Vol.1. Texas Department of Public Welfare and University of Texas. Austin, Texas.Google Scholar
Gauvreau, D. (1987). Le paradigme de la maladie d'Alzheimer. Interface, 8(16), 1921.Google Scholar
Gauvreau, D., Bouchard, R., Gauthier, S., Mathieu, J., Boily, C., Cholette, A., Robitaille, Y., Bouchard, P., Bouchard, N., Doyon, L.P., Gaudreault, M., Ouellet, A., Dumont, M., Kishka, P., Fournier, C., Nalbantoglu, J., Lacoste-Royal, G., Gautrin, D., Froda, S., DeBraekeleer, M., Bouchard, G., & Mortimer, J. (1988). The IMAGE Project: A Geographical Laboratory for the Investigation of Multidisciplinary Data. In Sinet, P.M., Lamour, Y., & Christen, Y. (Eds.), Research and Perspectives in Alzheimer's Disease (pp. 4050). Heidelberg: Springer-Verlag.Google Scholar
Gauvreau, D., DeBraekeleer, M., Bouchard, R., Gauthier, S., Mathieu, J., Boily, C., Cholette, A., Robitaille, Y., Bouchard, P., Bouchard, N., Doyon, N.P., Nalbantoglu, J., Lacoste-Royal, G., Gautrin, D., Froda, S., & Bouchard, G. (1989). The IMAGE Project: A Multimatrix Model for the Study of Alzheimer's Disease. In Blass, J.P., Miner, G., Miner, L.A., Ritcher, R.N., & Valentine, J.L. (Eds.), Familial Alzheimer's Disease: Molecular Genetics and Clinical Perspectives (pp. 330365). New York: Dekker.Google Scholar
Girard, C., & Perron, N. (1989). Histoire du Saguenay-Lac-Saint-Jean. Institut québécois de la recherche sur la culture. Collection « Les régions du Québec, no.2 ».Google Scholar
Goate, A., Chartier-Martin, M.C., Multan, M., Brown, J., Crawford, F., Fidani, L., Giuffra, L., Haynes, A., Irving, N., James, L., Mont, R., Newton, P., Rooke, K., Roques, P., Talbot, C, Pericak-Vance, M., Roses, A., Williamson, R., Rossor, M., Owen, M., & Hardy, J. (1991). Segregation of a Missense Mutation in the Amyloid Precursor Protein Gene With Familial Alzheimer's Disease. Nature, 399, 704706.CrossRefGoogle Scholar
Gurland, B.J. (1981). The Bordelands of Dementia: The Influence of Socio-cultural Characteristics on the Rates of Dementia Occuring in the Senium. In Miller, N.E. & Cohen, G.D. (Eds.), Clinical Aspects of Alzheimer's Disease and Senile Dementia (pp. 6180). New York: Raven Press.Google Scholar
Ham, B. (1982). Social Area Analysis and Factorial Ecology. A Review of Substantive Findings. In Theodorson, G.A. (Ed.), Urban Patterns Studies in Human Ecology (pp. 316337). University Park: Pennsylvania State University Press.Google Scholar
King, H., & Locke, F.B. (1984). Health Risks and Lifestyle. In Rothschilk, H. (Ed.), Risk Factors for Senility (pp. 117138). New York: Oxford University Press.Google Scholar
Kitner, S.J., White, L.R., Farmer, M.E., Wolz, M., Kaplan, M., Moes, E., Brody, J.A., & Feinleib, M. (1986). Methodological Issues in Screening for Dementia: The Problem of Education Adjustment. Journal of Chronical Diseases, 39, 163170.CrossRefGoogle Scholar
LeBourdais, C., & Lefebvre, C. (1987). Spatialisation des composantes ethniques, socio-économiques et familiales à Montréal en 1981. In RS-Urbanisation, Collection « Études et Documents no.52 ». Montreal.Google Scholar
McKhann, G., Drachman, G., Folstein, L., Katzman, R., Price, D., & Stadlan, E.M. (1984). Clinical Diagnosis for Alzheimer's Disease. Neurology 14, 939944.CrossRefGoogle Scholar
Mortimer, J.A. (1988). Do Psychological Risk Factors Contribute to Alzheimer's Disease? In Henderson, A.S. & Henderson, J.H. (Eds.), Etiology of Dementia of Alzheimer Type (pp. 3952). New York: J. Wiley.Google Scholar
Mortimer, J.A., French, L.R., Hutton, J.T., & Schuman, L.M. (1985). Head Injury As a Risk Factor for Alzheimer's Disease. Neurology, 35, 261267.Google ScholarPubMed
Perron, M., Veillette, S., & Hébert, G. (1991). «Controverses en cardiologie». Conditions de vie et décès par maladies de l'appareil circulatoire au Saguenay. Les conferences médicales ALCAN, Hôpital de Chicoutimi, novembre.Google Scholar
Perron, M., Veillette, S., & Mathieu, J. (1989). La dystrophie myotonique 1-Comportements socio-économiques et résidentiels des malades. Canadian Journal of Neurological Sciences, 16, 109113.CrossRefGoogle Scholar
Perron, M., Veillette, S., Rainville, M., Tremblay, C., Hébert, G., & Bouchard, C. (1989). Espace urbain et différenciation sociale au Saguenay:? agglomeration de Chicoutimi-Jonquière. Jonquière: Cégep de Jonquière.Google Scholar
Pouyez, C., Lavoie, Y., Bouchard, G., Roy, R., Simard, J.P., & St-Hilaire, M. (1983). Les Saguenayens. Québec: Presses de l'Université du Québec.Google Scholar
St George-Hyslop, P.H., Tanzi, R.E., Polinski, R.J., Haines, J.L., Nee, L., Watkins, P.C., Myers, R.H., Feldman, R.G., Pollen, D., Drachman, D., Growdon, J., Bruni, A., Foncin, J.F., Salmon, D., Frommelt, P., Amaducci, L., Sorbi, S., Pi-acentini, S., Stewart, G.D., Hobbs, W.J., Conneally, P.M., & Gusella, J.J. (1987). The Genetic Defect Causing Familial Alzheimer's Disease Maps on Chromosome 21. Science, 235, 885890.CrossRefGoogle ScholarPubMed
Van Broeckhoven, C., Van Hul, W., Backhovens, H., Van Camp, G., Wehnert, A., Stinisen, F., Raeynaekers, P., DeWinter, G., Gheuens, J., Martin, J.J., & Van-denberghe, A. (1988). The Familial Alzheimer' Disease Gene Is Located Close to the Centromere of Chromosome 21. American Journal of Human Genetics, 43(suppl.), A205.Google Scholar
Van Duijn, C.M., Stijnen, T., & Hofman, A. (1991). Risk Factors for Alzheimer's Disease: Overview of the EURODEM Collaboration Analysis of Case-Control Studies. International Journal of Epidemiology, 20 (suppl. 2), F4–F12.CrossRefGoogle ScholarPubMed
Veillette, S., & Perron, M. (1990). La dystrophie myotonique au Saguenay-Lac-Saint-Jean (Québec). Montpellier, Cahiers GÉOS (no. 19).Google Scholar
Veillette, S., Perron, M., & Hébert, G. (1992). La mortalité dans les aires sociales de l'agglomeration de Chicoutimi-Jonquière. Données épidémiologiques; 1979–1983. Groupe ÉCOBES, Cégep de Jonquière, mai 1992.Google Scholar
Veillette, S., Perron, M., Mathieu, J., Prévost, C., & Hébert, G. (1992). Socio-Cultural Factors Influencing the Spread of Myotonic Dystrophy in the Saguenay-Lac-Saint-Jean Region of the Province of Quebec (Canada). In Bittles, A.H. & Roberts, D.F. (Eds.), Minority Populations Genetics Demography and Health (pp. 83101). London: The MacMillans Press Ltd.CrossRefGoogle Scholar
Weissman, M.M., Myers, J.K., Tischer, G.L., Holzer, C.E., Leaf, P.J., Orvaschei, H., & Brody, J.A. (1985). Psychiatric Disorders (DSM-III) and Cognitive Impairment Among the Elderly in a U.S. Urban Community. Acta Psychiatra Scandinavia, 71, 366379.CrossRefGoogle Scholar
Wilcock, G.K., & Esini, M.M. (1982). Plaques, Tangles and Dementia. A Quantitative Study. Journal of Neurological Sciences, 56, 343356.CrossRefGoogle ScholarPubMed
Yu, E.S.H., Liu, W.T., Levy, P., Zhang, N.Y., Katzman, R., Lung, C.T., Wong, S.C., Wang, Z.Y., & Qu, G.Y. (1989). Cognitive Impairment Among Elderly Adults in Shanghai, China. Journal of Gerontology: Social Sciences, 44, S97106.CrossRefGoogle ScholarPubMed
Zhang, M., Katzman, R., Salmon, D., Jim, H., Cai, G., Wang, Z., Qu, G., Grant, I., Yu, E, Levy, P., Klauber, M.R., & Liu, W.T. (1990). The Prevalence of Dementia and Alzheimer's Disease in Shanghai, China: Impact of Age, Gender and Education. Annals of Neurology, 27, 428437.CrossRefGoogle ScholarPubMed