K. and C. Pm, Metabolic changes in pregnancy, Clinical obstetrics and gynecology, vol.50, issue.2, pp.938-986, 2007.

M. Sanghavi and J. Rutherford, Cardiovascular Physiology of Pregnancy, Circulation, vol.130, issue.12, pp.1003-1011, 2014.
DOI : 10.1161/CIRCULATIONAHA.114.009029

N. Parikh, S. Cnattingius, P. Dickman, M. Mittleman, J. Ludvigsson et al., Parity and risk of later-life maternal cardiovascular disease, American Heart Journal, vol.159, issue.2, pp.215-236, 2010.
DOI : 10.1016/j.ahj.2009.11.017

D. Jaffe, Z. Eisenbach, O. Manor, R. Ness, T. Harris et al., The effect of parity on cause-specific mortality among married men and women. 331 Maternal and child health journal Number of pregnancies and the subsequent risk of cardiovascular disease. The New 333 England journal of medicine, pp.376-85, 1993.

D. Lawlor, J. Emberson, and S. Ebrahim, Is the association between parity and coronary heart disease due to 335 biological effects of pregnancy or adverse lifestyle risk factors associated with child-rearing? Findings from the British 336

H. Koski-rahikkala, A. Pouta, K. Pietilainen, and A. Hartikainen, Does parity affect mortality among parous women? 338 Journal of epidemiology and community health, pp.968-73, 2006.
DOI : 10.1136/jech.2005.044735

URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2465489

K. Steenland, C. Lally, and M. Thun, Parity and Coronary Heart Disease among Women in the American Cancer Society CPS II Population, Epidemiology, vol.7, issue.6, pp.641-644, 1996.
DOI : 10.1097/00001648-199611000-00014

G. Colditz, W. Willett, M. Stampfer, B. Rosner, F. Speizer et al., A PROSPECTIVE STUDY OF AGE AT MENARCHE, PARITY, AGE AT FIRST BIRTH, AND CORONARY HEART DISEASE IN WOMEN, American Journal of Epidemiology, vol.126, issue.5, pp.861-343, 1987.
DOI : 10.1093/oxfordjournals.aje.a114723

L. Gallagher, L. Davis, and R. Ray, Reproductive history and mortality from cardiovascular disease among women textile workers in Shanghai, China, International Journal of Epidemiology, vol.40, issue.6, pp.1510-1518, 2011.
DOI : 10.1093/ije/dyr134

URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3235022

A. Stuebe, R. , and J. , The reset hypothesis: lactation and maternal metabolism American journal of 347 perinatology, pp.81-89, 2009.

E. Gunderson, C. Lewis, G. Wei, R. Whitmer, C. Quesenberry et al., Lactation and Changes in Maternal Metabolic Risk Factors, Obstetrics & Gynecology, vol.109, issue.3, pp.729-767, 2007.
DOI : 10.1097/01.AOG.0000252831.06695.03

URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2930880

E. Schwarz, R. Ray, and A. Stuebe, Duration of lactation and risk factors for maternal cardiovascular disease. 351 Obstetrics and gynecology, pp.974-82, 2009.

C. Mcclure, J. Catov, R. Ness, and E. Schwarz, Lactation and maternal subclinical cardiovascular disease among 353 premenopausal women, American journal of obstetrics and gynecology, vol.207, issue.354, pp.46-47, 2012.

E. Gunderson, D. Jacobs, J. Chiang, and V. , Duration of Lactation and Incidence of the Metabolic Syndrome in Women of Reproductive Age According to Gestational Diabetes Mellitus Status: A 20-Year Prospective Study in CARDIA (Coronary Artery Risk Development in Young Adults), Diabetes, vol.59, issue.2, pp.495-504, 2010.
DOI : 10.2337/db09-1197

S. Lee, M. Kim, S. Jee, and Y. Hp, Does long-term lactation protect premenopausal women against hypertension risk? a Korean women's cohort study, Preventive Medicine, vol.41, issue.2, pp.433-441, 2005.
DOI : 10.1016/j.ypmed.2004.11.025

A. Stuebe, E. Schwarz, and K. Grewen, Duration of Lactation and Incidence of Maternal Hypertension: A Longitudinal Cohort Study, American Journal of Epidemiology, vol.174, issue.10, pp.1147-58, 2011.
DOI : 10.1093/aje/kwr227

S. Jager, S. Jacobs, and J. Kroger, Breast-feeding and maternal risk of type 2 diabetes: a prospective study and meta-analysis, Diabetologia, vol.220, issue.7, pp.1355-65, 2014.
DOI : 10.1042/bj2200455

A. Stuebe, J. Rich-edwards, W. Willett, J. Manson, and K. Michels, Duration of Lactation and Incidence of Type 2 Diabetes, JAMA, vol.294, issue.20, pp.2601-2611, 2005.
DOI : 10.1001/jama.294.20.2601

R. Villegas, Y. Gao, and G. Yang, Duration of breast-feeding and the incidence of type 2 diabetes mellitus in the 366

D. Aune, T. Norat, P. Romundstad, and L. Vatten, Breastfeeding and the maternal risk of type 2 diabetes: A systematic review and dose???response meta-analysis of cohort studies, Nutrition, Metabolism and Cardiovascular Diseases, vol.24, issue.2, pp.107-122, 2014.
DOI : 10.1016/j.numecd.2013.10.028

N. Fagerhaug, T. Forsmo, S. Jacobsen, G. Midthjell, K. Andersen et al., A prospective 371 population-based cohort study of lactation and cardiovascular disease mortality: the HUNT study, BMC public health, vol.372, issue.373, pp.13-1070, 2013.

A. Stuebe, K. Michels, W. Willett, J. Manson, K. Rexrode et al., Duration of lactation and incidence 374 of myocardial infarction in middle to late adulthood, American journal of obstetrics and gynecology, vol.200, pp.138-139, 2009.

M. Merritt, E. Riboli, and N. Murphy, Reproductive factors and risk of mortality in the European Prospective Investigation into Cancer and Nutrition; a cohort study, BMC Medicine, vol.9, issue.1, pp.252-277, 2015.
DOI : 10.1023/A:1008838412423

E. Riboli, K. Hunt, and N. Slimani, European Prospective Investigation into Cancer and Nutrition (EPIC): study populations and data collection, Public Health Nutrition, vol.59, issue.6b, pp.1113-1137, 2002.
DOI : 10.1093/ije/26.suppl_1.S1

J. Danesh, R. Saracci, and G. Berglund, EPIC-Heart: the cardiovascular component of a prospective study of nutritional, 380 lifestyle and biological factors in 520,000 middle-aged participants from 10 European countries. European journal of 381 epidemiology, pp.129-170, 2007.

C. Langenberg, S. Sharp, and N. Forouhi, Design and cohort description of the InterAct Project: an examination of the 383 interaction of genetic and lifestyle factors on the incidence of type 2 diabetes in the EPIC Study, Diabetologia, vol.54, issue.385, pp.2272-384, 2011.

R. Prentice, A case-cohort design for epidemiologic cohort studies and disease prevention trials, Biometrika, vol.73, issue.1, pp.1-11, 1986.
DOI : 10.1093/biomet/73.1.1

D. Easton, J. Peto, and A. Babiker, Floating absolute risk: An alternative to relative risk in survival and case-control analysis avoiding an arbitrary reference group, Statistics in Medicine, vol.37, issue.7, pp.1025-1060, 1991.
DOI : 10.1002/sim.4780100703

F. Stewart, D. Freeman, J. Ramsay, I. Greer, M. Caslake et al., Longitudinal assessment of maternal 390 endothelial function and markers of inflammation and placental function throughout pregnancy in lean and obese mothers, p.391

M. Sanghavi, J. Kulinski, and C. Ayers, Association between number of live births and markers of subclinical atherosclerosis: The Dallas Heart Study, European Journal of Preventive Cardiology, vol.86, issue.4, pp.391-400, 2016.
DOI : 10.1097/gme.0b013e3181653d7d

S. Natland, T. Nilsen, K. Midthjell, L. Andersen, and S. Forsmo, Lactation and cardiovascular risk factors in mothers in a population-based study: the HUNT-study, International Breastfeeding Journal, vol.7, issue.1, pp.8-396, 2012.
DOI : 10.1136/bmj.308.6925.367

R. Ness, J. Cobb, T. Harris, D. Agostino, and R. , Does Number of Children Increase the Rate of Coronary Heart Disease in Men?, Epidemiology, vol.6, issue.4, pp.442-447, 1995.
DOI : 10.1097/00001648-199507000-00023

L. Beck, B. Morrow, and L. Lipscomb, Prevalence of selected maternal behaviors and experiences, Pregnancy Risk, p.399

J. Pesa and M. Shelton, Health-Enhancing Behaviors Correlated with Breastfeeding Among a National Sample of Mothers, Public Health Nursing, vol.16, issue.5, pp.120-124, 1999.
DOI : 10.1001/archpedi.1995.02170160034005

A. Yngve and M. Sjostrom, Breastfeeding determinants and a suggested framework for action in Europe. Public health 404 nutrition, pp.729-768, 2001.

I. Model, Adjusted for age at study entry and centre; Model II: model I + level of attained education, smoking status, and number of live born children (for breastfeeding analyses only); Model III: model II + high blood pressure, HDL cholesterol, total cholesterol, history of diabetes mellitus

I. Model, Adjusted for age at study entry and centre; Model II: model I + level of attained education, smoking status, and number of live born children (for breastfeeding only); Model III: model II + high blood pressure, HDL cholesterol, total cholesterol, history of diabetes mellitus