19 research outputs found

    The InterLACE study: design, data harmonization and characteristics across 20 studies on women's health

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    The International Collaboration for a Life Course Approach to Reproductive Health and Chronic Disease Events (InterLACE) project is a global research collaboration that aims to advance understanding of women's reproductive health in relation to chronic disease risk by pooling individual participant data from several cohort and cross-sectional studies. The aim of this paper is to describe the characteristics of contributing studies and to present the distribution of demographic and reproductive factors and chronic disease outcomes in InterLACE

    Organisations et territoires

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    Pourquoi et comment mettre en valeur tous les territoires du Québec? - Guy Massicotte Une stratégie de renforcement des petits centres ruraux - Clermont Dugas Soutenir les PME exportatrices en région - André Joyal et Cécile Grandbois Ce que les régions non métropolitaines ont à offrir - Paul Villeneuve, Rémy Barbonne et Nicolas Racine Pour sortir de l'approche contre - périphérie? - Juan-Luis Klein Territoires de l'identité, territoires de la culture - Andrée Fortin Entreprises innovantes et renouvellement des économies régionales - Serge Côté L'exode des jeunes des régions du Québec : l'urgence d'agir! - Yves Lacasse De la connectivité - Jean-Marc Fontan Innovations en région, développement en métropole? - Richard Shearmur Que faire? Là est la question... - Oleg Stanek Et si la croissance n'étais pas au rendez-vous? - Michel Boisvert Évolution ou changements radicaux? - Bernard Vermot-Desroches Sacré-Cœur : un exemple de dynamisme économique - David Tremblay, Jean Perron et Guy Germain La politique territoriale - Marc-Urbain Proul

    RR and 95% CI for specific breast tumor characteristics associated with a two-point increment in the Mediterranean diet score.

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    1<p>The same woman can be in both premenopausal and postmenopausal categories, if they were both premenopausal and postmenopausal during the follow-up period.</p>2<p>The Mediterranean score includes the consumption of the following components: alcohol, vegetables, fruits, legumes, cereals, fish, unsaturated to saturated fat ratio, and dairy and meat products. Its value ranges from 0 to 9 with a high value corresponding to a high adherence to the Mediterranean dietary pattern as defined in the present report.</p>3<p>Analyses were adjusted for history of breast cancer in mother and/or sister(s), personal history of benign breast disease, smoking status, BMI, height, age at first birth and number of children, educational level, age at menarche, total energy intake, consumption of beverages, potatoes, sweets, and eggs.</p><p><b>Abbreviations:</b> ER, estrogen receptor; n, number of participants, PR, progesterone receptor; RR, relative risk.</p

    Participant characteristics by categories of the Mediterranean diet score.

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    1<p>The Mediterranean score includes the consumption of the following components: alcohol, vegetables, fruits, legumes, cereals, fish, unsaturated to saturated fat ratio, and dairy and meat products. Its value ranges from 0 to 9 with a high value corresponding to a high adherence to the Mediterranean dietary pattern as defined in the present report.</p>2<p>Percent energy of total energy intake.</p><p><b>Abbreviations:</b> n, number of participants.</p

    RR and 95% CI for breast cancer associated with increments in the components of the Mediterranean diet score.

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    1<p>The increment is approximately equal to the component’s standard deviation.</p>2<p>Analyses were adjusted for history of breast cancer in mother and/or sister(s), personal history of benign breast disease, smoking status, BMI, height, age at first birth and number of children, educational level, age at menarche, total energy intake, consumption of beverages, potatoes, sweets, eggs; further to be mutually adjusted for the scores components listed in the table.</p><p><b>Abbreviations:</b> SD, standard deviation, g, grams, RR, relative risk.</p

    Kaplan-Meier estimates of breast cancer-specific mortality of women whose cancer was diagnosed since 1991 and who have a first-degree relative with breast cancer

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    <p><b>Copyright information:</b></p><p>Taken from "Is breast cancer prognosis inherited?"</p><p>http://breast-cancer-research.com/content/9/3/R39</p><p>Breast Cancer Research 2007;9(3):R39-R39.</p><p>Published online 28 Jun 2007</p><p>PMCID:PMC1929105.</p><p></p> Estimates are stratified by proband's cause-specific outcome. One thousand seven hundred seventy-eight daughters with mother as proband. Eight hundred forty-nine daughters with a mother younger than 70 years of age as proband. Three hundred forty-eight sisters with an older sister as proband
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