S. Ash, K. Campbell, J. Bogard, and A. Millichamp, Nutrition Prescription to Achieve Positive Outcomes in Chronic Kidney Disease: A Systematic Review, Nutrients, vol.39, issue.1, pp.416-51, 2014.
DOI : 10.1016/S0272-6386(02)70054-1

T. Banerjee, Y. Liu, and D. Crews, Dietary Patterns and CKD Progression, Blood Purification, vol.41, issue.1-3, pp.117-139, 2016.
DOI : 10.1159/000441072

URL : http://www.karger.com/Article/Pdf/441072

. Academy and D. Nutrition, Chronic Kidney Disease (CKD) Guideline (2010) Available from: www.andeal.org/topic.cfm?menu=5303&cat=3927, 2017.

D. Fouque and W. Mitch, Low-protein diets in chronic kidney disease: are we finally reaching a consensus?, Nephrology Dialysis Transplantation, vol.30, issue.1, pp.6-8, 2015.
DOI : 10.1093/ndt/gfu340

S. Klahr, A. Levey, G. Beck, A. Caggiula, L. Hunsicker et al., The Effects of Dietary Protein Restriction and Blood-Pressure Control on the Progression of Chronic Renal Disease, New England Journal of Medicine, vol.330, issue.13, pp.877-84, 1994.
DOI : 10.1056/NEJM199403313301301

V. Menon, J. Kopple, X. Wang, G. Beck, A. Collins et al., Effect of a Very Low-Protein Diet on Outcomes: Long-term Follow-up of the Modification of Diet in Renal Disease (MDRD) Study, American Journal of Kidney Diseases, vol.53, issue.2, pp.208-225, 2009.
DOI : 10.1053/j.ajkd.2008.08.009

D. Fouque, S. Pelletier, D. Mafra, and P. Chauveau, Nutrition and chronic kidney disease, Kidney International, vol.80, issue.4, pp.348-57, 2011.
DOI : 10.1038/ki.2011.118

URL : https://hal.archives-ouvertes.fr/hal-01056798

R. Bross, N. Noori, C. Kovesdy, S. Murali, D. Benner et al., Dietary Assessment of Individuals with Chronic Kidney Disease, Seminars in Dialysis, vol.53, issue.Suppl 2, pp.359-64, 2010.
DOI : 10.1111/j.1445-5994.1989.tb00267.x

B. Gopinath, D. Harris, V. Flood, G. Burlutsky, and P. Mitchell, Associations between dairy food consumption and chronic kidney disease in older adults, Scientific Reports, vol.46, issue.1, p.39532, 2016.
DOI : 10.1053/j.ajkd.2005.05.005

URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5171808

Q. Lew, T. Jafar, H. Koh, J. A. Chow, K. Yuan et al., Red Meat Intake and Risk of ESRD, Journal of the American Society of Nephrology, vol.28, issue.1, pp.304-316, 2017.
DOI : 10.1681/ASN.2016030248

P. Mirmiran, E. Yuzbashian, Z. Bahadoran, G. Asghari, and F. Azizi, Dietary Acid-Base load and risk of chronic kidney disease in adults: Tehran lipid and glucose study, Iran J Kidney Dis, vol.10, pp.119-144, 2016.

A. Diaz-lopez, M. Bullo, J. Basora, M. Martinez-gonzalez, M. Guasch-ferre et al., Cross-sectional associations between macronutrient intake and chronic kidney disease in a population at high cardiovascular risk, Clinical Nutrition, vol.32, issue.4, pp.606-618, 2013.
DOI : 10.1016/j.clnu.2012.10.013

S. Koning, R. Gansevoort, K. Mukamal, E. Rimm, S. Bakker et al., Alcohol consumption is inversely associated with the risk of developing chronic kidney disease, Kidney International, vol.87, issue.5, pp.1009-1025, 2015.
DOI : 10.1038/ki.2014.414

F. Nerbass, R. Pecoits-filho, N. Mcintyre, C. Mcintyre, F. Willingham et al., Demographic Associations of High Estimated Sodium Intake and Frequency of Consumption of High-Sodium Foods in People With Chronic Kidney Disease Stage 3 in England, Journal of Renal Nutrition, vol.24, issue.4, pp.236-278, 2014.
DOI : 10.1053/j.jrn.2014.03.003

M. Domingos, A. Goulart, P. Lotufo, I. Bensenor, and S. Titan, Chronic kidney disease - determinants of progression and cardiovascular risk. PROGREDIR cohort study: design and methods, Sao Paulo Medical Journal, vol.9, issue.4, pp.133-142, 2017.
DOI : 10.1038/nrneph.2013.34

F. Clavel-chapelon, M. Van-liere, C. Giubout, M. Niravong, H. Goulard et al., E3N, a French cohort study on cancer risk factors. E3N Group. Etude Epidemiologique aupres de femmes de l'Education Nationale, Eur J Cancer Prev, vol.6, pp.473-481, 1997.

F. Clavel-chapelon, Cohort Profile: The French E3N Cohort Study, International Journal of Epidemiology, vol.44, issue.3, pp.801-810, 2015.
DOI : 10.1093/ije/dyu184

URL : https://academic.oup.com/ije/article-pdf/44/3/801/18482537/dyu184.pdf

I. Montagni, E. Guichard, C. Carpenet, C. Tzourio, and T. Kurth, Screen time exposure and reporting of headaches in young adults: A cross-sectional study, Cephalalgia, vol.4, issue.1, pp.1020-710, 2015.
DOI : 10.4103/2141-9248.129058

S. Vandentorren, C. Bois, C. Pirus, H. Sarter, G. Salines et al., Rationales, design and recruitment for the Elfe longitudinal study, BMC Pediatrics, vol.62, issue.2, p.58, 2009.
DOI : 10.1136/jech.2006.058966

URL : https://bmcpediatr.biomedcentral.com/track/pdf/10.1186/1471-2431-9-58?site=bmcpediatr.biomedcentral.com

M. Vercambre, M. Boutron-ruault, M. Niravong, C. Berr, F. Clavel-chapelon et al., Performance of a short dietary questionnaire to assess nutrient intake using regression-based weights, Public Health Nutrition, vol.9, issue.04, pp.547-52, 2009.
DOI : 10.2188/jea.9.227

URL : https://hal.archives-ouvertes.fr/inserm-00271468

J. Giovannelli, J. Dallongeville, A. Wagner, V. Bongard, B. Laillet et al., Validation of a Short, Qualitative Food Frequency Questionnaire in French Adults Participating in the MONA LISA-NUT Study 2005-2007, Journal of the Academy of Nutrition and Dietetics, vol.114, issue.4, pp.552-61, 2014.
DOI : 10.1016/j.jand.2013.07.002

E. Barrat, N. Aubineau, M. Maillot, E. Derbord, P. Barthes et al., Repeatability and relative validity of a quantitative food-frequency questionnaire among French adults, Food & Nutrition Research, vol.56, issue.1, 2012.
DOI : 10.3402/fnr.v56i0.18472

V. Kipnis, D. Midthune, L. Freedman, S. Bingham, N. Day et al., Bias in dietary-report instruments and its implications for nutritional epidemiology, Public Health Nutrition, vol.39, issue.6a, pp.915-938, 2002.
DOI : 10.1136/bmj.300.6726.708

URL : https://www.cambridge.org/core/services/aop-cambridge-core/content/view/F74F7C0AF47FDD40061A3684DA658731/S1368980002001234a.pdf/div-class-title-bias-in-dietary-report-instruments-and-its-implications-for-nutritional-epidemiology-div.pdf

B. Stengel, C. Combe, C. Jacquelinet, S. Briancon, D. Fouque et al., The French Chronic Kidney Disease-Renal Epidemiology and Information Network (CKD-REIN) cohort study, Nephrology Dialysis Transplantation, vol.29, issue.8, pp.49-56, 2016.
DOI : 10.1093/ndt/gft388

URL : https://hal.archives-ouvertes.fr/hal-00932387

V. Cottet, M. Touvier, A. Fournier, M. Touillaud, L. Lafay et al., Postmenopausal Breast Cancer Risk and Dietary Patterns in the E3N-EPIC Prospective Cohort Study, American Journal of Epidemiology, vol.170, issue.10, pp.1257-67, 2009.
DOI : 10.1093/aje/kwp257

F. Onu, Report of a join expert consultation. Energy and protein requirements, Geneva: WHO Technical Report, 1985.

W. Schofield, Predicting basal metabolic rate, new standards and review of previous work, Hum Nutr Clin Nutr, vol.39, pp.5-41, 1985.

C. Bonifacj, M. Gerber, J. Scali, and J. Daures, Comparison of dietary assessment methods in a Southern French population: use of weighed records, estimated-diet records and a food-frequency questionnaire, European Journal of Clinical Nutrition, vol.51, issue.4, pp.217-248, 1997.
DOI : 10.1038/sj.ejcn.1600387

V. Deschamps, B. De-lauzon-guillain, L. Lafay, J. Borys, M. Charles et al., Reproducibility and relative validity of a food-frequency questionnaire among French adults and adolescents, European Journal of Clinical Nutrition, vol.124, issue.2, pp.282-91, 2009.
DOI : 10.1079/PHN2003466

URL : https://hal.archives-ouvertes.fr/inserm-00222800

E. Kesse-guyot, K. Castetbon, M. Touvier, S. Hercberg, and P. Galan, Relative Validity and Reproducibility of a Food Frequency Questionnaire Designed for French Adults, Annals of Nutrition and Metabolism, vol.57, issue.3-4, pp.153-62, 2010.
DOI : 10.1159/000321680

M. Van-liere, F. Lucas, F. Clavel, N. Slimani, and S. Villeminot, Relative validity and reproducibility of a French dietary history questionnaire, International Journal of Epidemiology, vol.26, issue.90001, pp.128-164, 1997.
DOI : 10.1093/ije/26.suppl_1.S128

URL : https://hal.archives-ouvertes.fr/inserm-00176120

F. Lucas, M. Niravong, S. Villeminot, R. Kaaks, and F. Clavel-chapelon, Estimation of food portion size using photographs: validity, strengths, weaknesses and recommendations, Journal of Human Nutrition and Dietetics, vol.29, issue.1, pp.65-74, 1995.
DOI : 10.1111/j.1365-277X.1995.tb00296.x

B. Rosner and W. Willett, INTERVAL ESTIMATES FOR CORRELATION COEFFICIENTS CORRECTED FOR WITHIN-PERSON VARIATION: IMPLICATIONS FOR STUDY DESIGN AND HYPOTHESIS TESTING, American Journal of Epidemiology, vol.127, issue.2, pp.377-86, 1988.
DOI : 10.1093/oxfordjournals.aje.a114811

W. Willett, Nutritional epidemiology, 1998.

J. Bland and D. Altman, Statistical methods for assessing agreement between two methods of clinical measurement, International Journal of Nursing Studies, vol.47, issue.8, pp.307-317, 1986.
DOI : 10.1016/j.ijnurstu.2009.10.001

J. Bland and D. Altman, Agreed Statistics, Anesthesiology, vol.116, issue.1, pp.182-187, 2012.
DOI : 10.1097/ALN.0b013e31823d7784

URL : http://anesthesiology.pubs.asahq.org/data/journals/jasa/931114/0000542-201201000-00030.pdf

G. Douglas, Altman: practical statistics for medical research, Chap, vol.14, pp.396-403, 1990.

J. Hebert, T. Hurley, S. Steck, D. Miller, F. Tabung et al., Considering the Value of Dietary Assessment Data in Informing Nutrition-Related Health Policy, Advances in Nutrition: An International Review Journal, vol.5, issue.4, pp.447-55, 2014.
DOI : 10.3945/an.114.006189

J. Cade, R. Thompson, V. Burley, and D. Warm, Development, validation and utilisation of food-frequency questionnaires ??? a review, Public Health Nutrition, vol.5, issue.4, pp.567-87, 2002.
DOI : 10.1079/PHN2001318

M. Molag, J. De-vries, M. Ocke, P. Dagnelie, P. Van-den-brandt et al., Design Characteristics of Food Frequency Questionnaires in Relation to Their Validity, American Journal of Epidemiology, vol.166, issue.12, pp.1468-78, 2007.
DOI : 10.1093/aje/kwm236

A. Satija, E. Yu, W. Willett, and F. Hu, Understanding Nutritional Epidemiology and Its Role in Policy, Advances in Nutrition: An International Review Journal, vol.6, issue.1, pp.5-18, 2015.
DOI : 10.3945/an.114.007492

URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4288279

A. Potosky, G. Block, and A. Hartman, The apparent validity of diet questionnaires is influenced by number of diet-record days used for comparison, J Am Diet Assoc, vol.90, pp.810-813, 1990.

L. Mennen, S. Bertrais, P. Galan, N. Arnault, C. Potier-de et al., The use of computerised 24???h dietary recalls in the French SU.VI.MAX Study: number of recalls required, European Journal of Clinical Nutrition, vol.56, issue.7, pp.659-65, 2002.
DOI : 10.1038/sj.ejcn.1601374

D. Stram, M. Longnecker, L. Shames, L. Kolonel, L. Wilkens et al., Cost-Efficient Design of a Diet Validation Study, American Journal of Epidemiology, vol.142, issue.3, pp.353-62, 1995.
DOI : 10.1093/oxfordjournals.aje.a117641

J. Hebert, Y. Ma, L. Clemow, I. Ockene, G. Saperia et al., Gender Differences in Social Desirability and Social Approval Bias in Dietary Self-report, American Journal of Epidemiology, vol.146, issue.12, pp.1046-55, 1997.
DOI : 10.1093/oxfordjournals.aje.a009233

J. Hebert, C. Ebbeling, C. Matthews, T. Hurley, Y. Ma et al., Systematic Errors in Middle-Aged Women's Estimates of Energy Intake Comparing Three Self-Report Measures to Total Energy Expenditure from Doubly Labeled Water, Annals of Epidemiology, vol.12, issue.8, pp.577-86, 2002.
DOI : 10.1016/S1047-2797(01)00297-6

H. Autorité-de-santé, Guide du parcours de soins. Maladie rénale Chronique de l'adulte. Saint-Denis, HAS, 2012.

P. Pietinen, A. Hartman, E. Haapa, L. Rasanen, J. Haapakoski et al., REPRODUCIBILITY AND VALIDITY OF DIETARY ASSESSMENT INSTRUMENTS, American Journal of Epidemiology, vol.128, issue.3, pp.667-76, 1988.
DOI : 10.1093/oxfordjournals.aje.a115014

R. Kaaks, N. Slimani, and E. Riboli, Pilot phase studies on the accuracy of dietary intake measurements in the EPIC project: overall evaluation of results. European Prospective Investigation into Cancer and Nutrition, International Journal of Epidemiology, vol.26, issue.90001, pp.26-36, 1997.
DOI : 10.1093/ije/26.suppl_1.S26

Y. Tsubono, Y. Nishino, A. Fukao, S. Hisamichi, and S. Tsugane, Temporal Change in the Reproducibility of a Self-administered Food Frequency Questionnaire, American Journal of Epidemiology, vol.142, issue.11, pp.1231-1236, 1995.
DOI : 10.1093/oxfordjournals.aje.a117582

J. Cade, V. Burley, D. Warm, R. Thompson, and B. Margetts, Food-frequency questionnaires: a review of their design, validation and utilisation, Nutrition Research Reviews, vol.32, issue.01, pp.5-22, 2004.
DOI : 10.1093/ije/27.2.173

G. Asghari, A. Rezazadeh, F. Hosseini-esfahani, Y. Mehrabi, P. Mirmiran et al., Reliability, comparative validity and stability of dietary patterns derived from an FFQ in the Tehran Lipid and Glucose Study, British Journal of Nutrition, vol.138, issue.06, pp.1109-1126, 2012.
DOI : 10.1017/S0007114508968264

A. Barclay, V. Flood, J. Brand-miller, and P. Mitchell, Validity of carbohydrate, glycaemic index and glycaemic load data obtained using a semi-quantitative food-frequency questionnaire, Public Health Nutrition, vol.71, issue.06, pp.573-80, 2008.
DOI : 10.2337/diacare.25.10.1715

J. Fernandez-ballart, J. Pinol, I. Zazpe, C. D. Carrasco, P. Toledo et al., Relative validity of a semi-quantitative food-frequency questionnaire in an elderly Mediterranean population of Spain, British Journal of Nutrition, vol.32, issue.12, pp.1808-1824, 2010.
DOI : 10.1038/sj.ejcn.1601738

J. Hankin, D. Stram, K. Arakawa, S. Park, S. Low et al., Singapore Chinese Health Study: Development, Validation, and Calibration of the Quantitative Food Frequency Questionnaire, Nutrition and Cancer, vol.39, issue.2, pp.187-95, 2001.
DOI : 10.1207/S15327914nc392_5

L. Mannato, T. Pereira, G. Velasquez-melendez, L. Cardoso, I. Bensenor et al., Comparison of a short version of the Food Frequency Questionnaire with its long version - a cross-sectional analysis in the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil), Sao Paulo Medical Journal, vol.21, issue.5, pp.414-434, 2015.
DOI : 10.1016/S0271-5317(01)00283-4

G. Beaton, Approaches to analysis of dietary data: relationship between planned analyses and choice of methodology, Am J Clin Nutr, vol.59, pp.253-61, 1994.

T. Dienemann, N. Fujii, P. Orlandi, L. Nessel, S. Furth et al., International Network of Chronic Kidney Disease cohort studies (iNET-CKD): a global network of chronic kidney disease cohorts, BMC Nephrology, vol.5, issue.9, p.121, 2016.
DOI : 10.2215/CJN.08791209

URL : https://hal.archives-ouvertes.fr/inserm-01359631