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Annexes 222Table 1: demographic and health characteristics in the sample (N=2228)N %GenderMale 964 43.3Female 1264 56.7Educational levelNo diploma 602 27Primary school with diploma or + 1626 73Age at V1=70 and =75 and =80 year old 370 16.6Prevalent dementia at V1 7 0.4Incident dementia between V3 and V13 364 16.324
Annexes 223Table 2: Estimates and 95% confidence interval (95%CI) of the parameters in the nonlinearlatent variable model using MMSE, IST15, BVRT and DSST without adjustment on vascularfactors (VF) (on the left, Log-likelihood=-69993.86 and 42 parameters) and with adjustmenton vascular factors (on the right, Log Likelihood=-69969.18 and 47 parameters).Without VF adjustment With VF adjustmentVariable Estimate a 95% CI Estimate a 95% CICommon factor evolution :Intercept (at 65 years old) 0.538 *** 0.523,0.552 0.539 *** 0.524,0.553Time b -0.0305 *** -0.0425,-0.0185 -0.0294 *** -0.0414,-0.0174Time squared b -0.0209 *** -0.0261,-0.0158 -0.0200 *** -0.0251,-0.0149Gender c 0.0005 -0.0081,0.0091 -0.0056 -0.0161,0.0050Gender c × time squared 0.0019 -0.0011,0.0050 0.0061 * 0.0024,0.0099Educational level (EL) d 0.114 *** 0.103,0.124 0.112 *** 0.102,0.123EL d × time squared -0.0038 * -0.0071,-0.0004 -0.0038 * -0.0072,-0.0005Contrasts on gender e : p
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Université Victor Segalen Bordeaux
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3RemerciementsA Monsieur Jean-Louis
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5Un immense merci à tous ceux que
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7A Delphine et ses mille et une his
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TABLE DES MATIÈRES 92.3.2 Estimati
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TABLE DES MATIÈRES 116.3.1 Adéqua
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Introduction 13ans atteintes d’un
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Introduction 15Mais, pour l’insta
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Introduction 171.2 Problèmes méth
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Introduction 191.2.3 Association en
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Introduction 21QUID suggère que le
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Chapitre 2Etat des connaissancesCe
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Etat des connaissances 25Plusieurs
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Etat des connaissances 27Prise en c
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Etat des connaissances 29Extensions
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Etat des connaissances 31données s
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Etat des connaissances 33variables
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Etat des connaissances 35(2000) ne
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Etat des connaissances 372.3 Modél
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Etat des connaissances 39chapitre 3
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Etat des connaissances 41de mélang
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Etat des connaissances 43Hawkins et
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Etat des connaissances 45tique de d
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Etat des connaissances 47L’estima
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Etat des connaissances 49normales s
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Etat des connaissances 512.4 Modél
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Etat des connaissances 53en tant qu
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Etat des connaissances 55interactio
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Etat des connaissances 57décrite p
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Etat des connaissances 59entre l’
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Etat des connaissances 612.4.3 Cas
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Etat des connaissances 63l’inform
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Modèle nonlinéaire à processus l
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Chapitre 4Modèle nonlinéaire à c
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Modèle nonlinéaire à classes lat
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Chapitre 6Discussion et perspective
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Discussion et perspectives 151la pr
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Discussion et perspectives 153Varia
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Discussion et perspectives 1556.2 M
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Discussion et perspectives 157à cl
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Discussion et perspectives 160effet
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Discussion et perspectives 162Dans
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Chapitre 7BibliographieAmieva, H.,
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Bibliographie 1661, S19-25.Brown, E
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Bibliographie 168Sons, New-York.Fol
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Bibliographie 170Hogan, J. W. et La
Page 172 and 173: Bibliographie 172Lin, H., McCulloch
Page 174 and 175: Bibliographie 174Park, CA.Muthén,
Page 176 and 177: Bibliographie 176Schlattmann, P. (2
Page 178 and 179: Bibliographie 178in the random-effe
Page 180 and 181: Chapitre 8Annexes8.1 Liste des publ
Page 182 and 183: Annexes 182Pau (France)Communicatio
Page 184 and 185: Annexes 184166 C. Proust, H. Jacqmi
Page 192 and 193: AnnexesAmerican Journal of Epidemio
Page 194 and 195: Annexes 194Psychometric Tests’ Se
Page 200 and 201: Annexes 200Abstract :When investiga
Page 202 and 203: Annexes 202educated subjects. This
Page 204 and 205: Annexes 204(iii) the recognition fo
Page 206 and 207: Annexes 206Explanatory variablesIn
Page 208 and 209: Annexes 208IST15 (median=28, IQR=24
Page 210 and 211: Annexes 210and on the mean evolutio
Page 212 and 213: Annexes 212These findings should be
Page 214 and 215: Annexes 214Appendix : model specifi
Page 216 and 217: Annexes 216References[1] Amieva H,
Page 218 and 219: Annexes 218[19] Letenneur L, Commen
Page 220 and 221: Annexes 220Figure 1 : (A) Predicted
Page 224: Annexes 224MMSE 0.0037 * 0.0013,0.0
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