L. Troubles-du-sommeil-en-relation-avec-la-respiration and .. , 35 2.2.2.1 Syndrome d'apnées centrales du sommeil (SACS) 35 2.2.2.2 Syndrome d'apnées obstructives du sommeil (SAOS), p.37

.. Autres-troubles-respiratoires-en-rapport-avec-la-respiration, Le syndrome de haute résistance des voies aériennes supérieures, 37 2.2.2.4.2 Syndrome obésité-hypoventilation (SOH) et son association au SAOS, p.39

L. Mouvements-en-relation-avec-le-sommeil and .. , 42 2.2.6.1 Le syndrome des jambes sans repos, ., p.42

.. Facteurs-de-risque-des-apnées-obstructives-du-sommeil, 49 3.4.1 Facteurs non modifiables, p.49

H. Hypoxémie, 55 3.5.1.2 Fragmentation du sommeil, ., p.57

.. Conséquences-À-plus-long-terme, 57 3.5.2.1.1 l'hypertension artérielle, p.60

P. Rapport-de-causalité, 64 ? Chez les sujets non diabétiques, 64 ? Chez les sujets diabétiques de type 2 64 ? Lors d'une hyperglycémie modérée à jeun, p.65

.. La and D. , 84 4.1.3.4.2 Régions d'analyse, Evaluation de la composition corporelle par DEXA (ANNEXE 5) 84 ? Analyses spécifiques, p.86

.. Troubles-du-métabolisme-glucidique, 92 ? Incidence des troubles du métabolisme glucidique, p.96

.. Facteurs-de-risque-cardio-vasculaires and .. @bullet-tabagisme, 98 ? Hypertension artérielle 98 ? Antécédents cardio-vasculaires

.. Dépistage-d-'apnées-obstructives-du-sommeil, 104 ? Résultats dans l'ensemble de la population étudiée 104 ? Analyse selon le sexe, p.105

I. Corrélation and .. Répartition-de-la-masse-grasse, 115 ? Dans la population féminine 116 ? Dans la population masculine, p.117

.. Analyse-multivariée, 118 4.2.2.2.1 Dans la population féminine, 119 ? Variables cliniques et clinico-biologiques, p.119

.. Dans-la-population-masculine, 120 ? Variables cliniques et clinico-biologiques, p.120

D. Paramètres-choisis-pour-l-'analyse, 134 ? Analyse de la masse grasse cervicale mais pas de la masse maigre, p.135

. En-analyse-multivariée, IMC est apparu significativement corrélé à l'IAH (p = 0,023) mais pas les tours de cou ou de taille. L'IMC était donc, après ajustement multivarié, un bon prédicteur d'apnées obstructives du sommeil dans une population de femmes très obèses

. Dans-notre-second-modèle, ont été proposées des variables cliniques et biologiques La somnolence est restée significativement corrélée à l'IAH dans ce modèle (p = 0,0025) Le tour de taille était également corrélé à l'IAH (p = 0,0013) ainsi que l

. Dans-le-modèle, trois facteurs étaient significativement corrélés à l'IAH : l'âge (p = 0,0198), l'IMC (p = 0,0115) et le rapport masse grasse abdominale

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