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Nutrition and Metabolism Branch (NME)

Publications

All recent publications: 2024-2020

 

  1. Abbad-Gomez D, Domingo L, Comas M, Santiá P, Jansana A, Poblador B, et al. (2024). Effect of comorbidity and multimorbidity on adherence to follow-up recommendations among long-term breast cancer survivors. Maturitas. 182:107918. https://doi.org/10.1016/j.maturitas.2024.107918 PMID:38280353
  2. Albers FEM, Lou MWC, Dashti SG, Swain CTV, Rinaldi S, Viallon V, et al. (2024). Sex-steroid hormones and risk of postmenopausal estrogen receptor-positive breast cancer: a case-cohort analysis. Cancer Causes Control. 35(6):921–33. https://doi.org/10.1007/s10552-024-01856-6 PMID:38363402
  3. Bodén S, Zheng R, Ribbenstedt A, Landberg R, Harlid S, Vidman L, et al. (2024). Dietary patterns, untargeted metabolite profiles and their association with colorectal cancer risk. Sci Rep. 14(1):2244. https://doi.org/10.1038/s41598-023-50567-6 PMID:38278865
  4. Botteri E, Peveri G, Berstad P, Bagnardi V, Hoff G, Heath AK, et al. (2024). Lifestyle changes in middle age and risk of cancer: evidence from the European Prospective Investigation into Cancer and Nutrition. Eur J Epidemiol. 39(2):147–59. https://doi.org/10.1007/s10654-023-01059-4 PMID:38180593
  5. Bull CJ, Hazelwood E, Legge DN, Corbin LJ, Richardson TG, Lee M, et al. (2024). Impact of weight loss on cancer-related proteins in serum: results from a cluster randomised controlled trial of individuals with type 2 diabetes. EBioMedicine. 100:104977. https://doi.org/10.1016/j.ebiom.2024.104977 PMID:38290287
  6. Cacau LT, Hanley-Cook GT, Vandevijvere S, Leclercq C, De Henauw S, Santaliestra-Pasias A, et al. (2024). Association between adherence to the EAT-Lancet sustainable reference diet and cardiovascular health among European adolescents: the HELENA study. Eur J Clin Nutr. 78(3):202–8. https://doi.org/10.1038/s41430-023-01379-4 PMID:38093098
  7. Cheng SL, Hedges M, Keski-Rahkonen P, Chatziioannou AC, Scalbert A, Chung KF, et al. (2024). Multiomic Signatures of Traffic-Related Air Pollution in London Reveal Potential Short-Term Perturbations in Gut Microbiome-Related Pathways. Environ Sci Technol. 58(20):8771–82. https://doi.org/10.1021/acs.est.3c09148 PMID:38728551
  8. Constantinescu AE, Bull CJ, Jones N, Mitchell R, Burrows K, Dimou N, et al. (2024). Circulating white blood cell traits and colorectal cancer risk: A Mendelian randomisation study. Int J Cancer. 154(1):94–103. https://doi.org/10.1002/ijc.34691 PMID:37578112
  9. Debras C, Cordova R, Mayén AL, Maasen K, Knaze V, Eussen SJPM, et al. (2024). Dietary intake of dicarbonyl compounds and changes in body weight over time in a large cohort of European adults. Br J Nutr. 131(11):1902–14. https://doi.org/10.1017/S0007114524000503 PMID:38383991
  10. Downham L, Jaafar I, Rol ML, Nyawira Nyaga V, Valls J, Baena A, et al. (2024). Accuracy of HPV E6/E7 oncoprotein tests to detect high-grade cervical lesions: a systematic literature review and meta-analysis. Br J Cancer. 130(4):517–25. https://doi.org/10.1038/s41416-023-02490-w PMID:37973957
  11. Fiolet T, Nicolas G, Casagrande C, Horvath Z, Frenoy P, Weiderpass E, et al. (2024). Dietary intakes of dioxins and polychlorobiphenyls (PCBs) and mortality: EPIC cohort study in 9 European countries. Int J Hyg Environ Health. 255:114287. https://doi.org/10.1016/j.ijheh.2023.114287 PMID:37989047
  12. Freisling H, Córdova R, Aune D, Wagner KH (2024). Ultra processed foods and cancer-authors’ reply. Lancet Reg Health Eur. 38:100865. https://doi.org/10.1016/j.lanepe.2024.100865 PMID:38375449
  13. Gil-Lespinard M, Almanza-Aguilera E, Castañeda J, Guiñón-Fort D, Eriksen AK, Tjønneland A, et al. (2024). Plasma Concentration of 36 (Poly)phenols and Prospective Body Weight Change in Participants from the EPIC Cohort. Ann Nutr Metab. 80(2):87–100. https://doi.org/10.1159/000535803 PMID:38272006
  14. Harewood R, Rothwell JA, Bešević J, Viallon V, Achaintre D, Gicquiau A, et al. (2024). Association between pre-diagnostic circulating lipid metabolites and colorectal cancer risk: a nested case-control study in the European Prospective Investigation into Cancer and Nutrition (EPIC). EBioMedicine. 101:105024. https://doi.org/10.1016/j.ebiom.2024.105024 PMID:38412638
  15. His M, Gunter MJ, Keski-Rahkonen P, Rinaldi S (2024). Application of Metabolomics to Epidemiologic Studies of Breast Cancer: New Perspectives for Etiology and Prevention. J Clin Oncol. 42(1):103–15. https://doi.org/10.1200/JCO.22.02754 PMID:37944067
  16. Jansana A, Auguste A, Kvaskoff M, Fournier A, Fontvieille E, Peruchet-Noray L, et al. (2024). Impact of pre-existing cardiometabolic diseases on metastatic cancer stage at diagnosis: a prospective multinational cohort study. Cancer Commun (Lond). 44(5):593–7. https://doi.org/10.1002/cac2.12526 PMID:38487965
  17. Jenkins DJA, Willett WC, Yusuf S, Hu FB, Glenn AJ, Liu S, et al.; Clinical Nutrition & Risk Factor Modification Centre Collaborators (2024). Association of glycaemic index and glycaemic load with type 2 diabetes, cardiovascular disease, cancer, and all-cause mortality: a meta-analysis of mega cohorts of more than 100 000 participants. Lancet Diabetes Endocrinol. 12(2):107–18. https://doi.org/10.1016/S2213-8587(23)00344-3 PMID:38272606
  18. Johansson H, Bellerba F, Macis D, Bertelsen BE, Guerrieri-Gonzaga A, Aristarco V, et al. (2024). Effect of metformin and lifestyle intervention on adipokines and hormones in breast cancer survivors: a pooled analysis from two randomized controlled trials. Breast Cancer Res Treat. 205(1):49–59. https://doi.org/10.1007/s10549-023-07241-2 PMID:38279016
  19. Klont F, Nijdam FB, Bakker SJL, Keski-Rahkonen P, Hopfgartner G, Investigators T (2024). High-abundance peaks and peak clusters associate with pharmaceutical polymers and excipients in urinary untargeted clinical metabolomics data: exploration of their origin and possible impact on label-free quantification. Analyst. 149(4):1061–7. https://doi.org/10.1039/D3AN01874A PMID:38251754
  20. Li M, Cao SM, Dimou N, Wu L, Li JB, Yang J (2024). Association of Metabolic Syndrome With Risk of Lung Cancer: A Population-Based Prospective Cohort Study. Chest. 165(1):213–23. https://doi.org/10.1016/j.chest.2023.08.003 PMID:37572975
  21. Matta K, Viallon V, Botteri E, Peveri G, Dahm C, Nannsen AO, et al. (2024). Healthy lifestyle change and all-cause and cancer mortality in the European Prospective Investigation into Cancer and Nutrition cohort. BMC Med. 22(1):210. https://doi.org/10.1186/s12916-024-03362-7 PMID:38807179
  22. Meyer A, Dong C, Chan SSM, Touvier M, Julia C, Huybrechts I, et al. (2024). Dietary index based on the Food Standards Agency nutrient profiling system and risk of Crohn’s disease and ulcerative colitis. Aliment Pharmacol Ther. 59(4):558–68. https://doi.org/10.1111/apt.17835 PMID:38100159
  23. Morales-Berstein F, Biessy C, Viallon V, Goncalves-Soares A, Casagrande C, Hémon B, et al.; EPIC Network (2024). Ultra-processed foods, adiposity and risk of head and neck cancer and oesophageal adenocarcinoma in the European Prospective Investigation into Cancer and Nutrition study: a mediation analysis. Eur J Nutr. 63(2):377–96. https://doi.org/10.1007/s00394-023-03270-1 PMID:37989797
  24. Mori N, Murphy N, Sawada N, Achaintre D, Yamaji T, Scalbert A, et al. (2024). Reproducibility and dietary correlates of plasma polyphenols in the JPHC-NEXT Protocol Area study. Eur J Clin Nutr. 78(1):34–42. https://doi.org/10.1038/s41430-023-01349-w PMID:37891229
  25. Noh H, Anota A, Mongondry R, Meyrand R, Dupuis C, Schiffler C, et al. (2024). Impact of a one-year supervised physical activity program on long-term cancer-related fatigue and mediating effects of the gut microbiota in metastatic testicular cancer patients: protocol of the prospective multicentre, randomized controlled phase-III STARTER trial. BMC Cancer. 24(1):84. https://doi.org/10.1186/s12885-024-11824-7 PMID:38225551
  26. O’Grady TJ, Rinaldi S, Michels KA, Adami HO, Buring JE, Chen Y, et al. (2024). Association of hormonal and reproductive factors with differentiated thyroid cancer risk in women: a pooled prospective cohort analysis. Int J Epidemiol. 53(1):dyad172. https://doi.org/10.1093/ije/dyad172 PMID:38110618
  27. Oyelere AM, Kok DE, Bos D, Gunter MJ, Ferrari P, Keski-Rahkonen P, et al. (2024). Coffee consumption is associated with a reduced risk of colorectal cancer recurrence and all-cause mortality. Int J Cancer. 154(12):2054–63. https://doi.org/10.1002/ijc.34879 PMID:38346920
  28. Papadimitriou N, Qu C, Harrison TA, Bever AM, Martin RM, Tsilidis KK, et al. (2024). Body size and risk of colorectal cancer molecular defined subtypes and pathways: Mendelian randomization analyses. EBioMedicine. 101:105010. https://doi.org/10.1016/j.ebiom.2024.105010 PMID:38350331
  29. Peruchet-Noray L, Sedlmeier AM, Dimou N, Baurecht H, Fervers B, Fontvieille E, et al. (2024). Tissue-specific genetic variation suggests distinct molecular pathways between body shape phenotypes and colorectal cancer. Sci Adv. 10(16):eadj1987. https://doi.org/10.1126/sciadv.adj1987 PMID:38640244
  30. Pham TT, Nimptsch K, Aleksandrova K, Jenab M, Fedirko V, Wu K, et al. (2024). Pre-diagnostic circulating resistin concentrations and mortality among individuals with colorectal cancer: Results from the European Prospective Investigation into Cancer and Nutrition study. Int J Cancer. 154(9):1596–606. https://doi.org/10.1002/ijc.34830 PMID:38200695
  31. Rinaldi S, Dossus L, Keski-Rahkonen P, Kiss A, Navionis AS, Biessy C, et al. (2024). Circulating endogenous sex steroids and risk of differentiated thyroid carcinoma in men and women. Int J Cancer. 154(12):2064–74. https://doi.org/10.1002/ijc.34872 PMID:38357914
  32. Rontogianni MO, Bouras E, Aglago EK, Freisling H, Murphy N, Cotterchio M, et al. (2024). Allometric versus traditional body-shape indices and risk of colorectal cancer: a Mendelian randomization analysis. Int J Obes (Lond). 48(5):709–16. https://doi.org/10.1038/s41366-024-01479-6 PMID:38297030
  33. Sellem L, Srour B, Javaux G, Chazelas E, Chassaing B, Viennois E, et al. (2024). Food additive emulsifiers and cancer risk: Results from the French prospective NutriNet-Santé cohort. PLoS Med. 21(2):e1004338. https://doi.org/10.1371/journal.pmed.1004338 PMID:38349899
  34. Senkin S, Moody S, Díaz-Gay M, Abedi-Ardekani B, Cattiaux T, Ferreiro-Iglesias A, et al. (2024). Geographic variation of mutagenic exposures in kidney cancer genomes. Nature. 629(8013):910–8. https://doi.org/10.1038/s41586-024-07368-2 PMID:38693263
  35. Seyyedsalehi MS, Hadji M, Collatuzzo G, Rashidian H, Sasanfar B, Huybrechts I, et al. (2024). Role of dietary intake of specific polyunsaturated fatty acids (PUFAs) on colorectal cancer risk in Iran. Lipids. 59(2):41–53. https://doi.org/10.1002/lipd.12386 PMID:38287648
  36. Stern MC, Sanchez Mendez J, Kim AE, Obón-Santacana M, Moratalla-Navarro F, Martín V, et al. (2024). Genome-Wide Gene-Environment Interaction Analyses to Understand the Relationship between Red Meat and Processed Meat Intake and Colorectal Cancer Risk. Cancer Epidemiol Biomarkers Prev. 33(3):400–10. https://doi.org/10.1158/1055-9965.EPI-23-0717 PMID:38112776
  37. Thomas CE, Georgeson P, Qu C, Steinfelder RS, Buchanan DD, Song M, et al. (2024). Epidemiologic Factors in Relation to Colorectal Cancer Risk and Survival by Genotoxic Colibactin Mutational Signature. Cancer Epidemiol Biomarkers Prev. 33(4):534–46. https://doi.org/10.1158/1055-9965.EPI-23-0600 PMID:38252034
  38. Tian Y, Lin Y, Qu C, Arndt V, Baurley JW, Berndt SI, et al. (2024). Genetic risk impacts the association of menopausal hormone therapy with colorectal cancer risk. Br J Cancer. 130(10):1687–96. https://doi.org/10.1038/s41416-024-02638-2 PMID:38561434
  39. Timmins IR, Jones ME, O’Brien KM, Adami HO, Aune D, Baglietto L, et al. (2024). International Pooled Analysis of Leisure-Time Physical Activity and Premenopausal Breast Cancer in Women From 19 Cohorts. J Clin Oncol. 42(8):927–39. https://doi.org/10.1200/JCO.23.01101 PMID:38079601
  40. Tong TYN, Clarke R, Schmidt JA, Huybrechts I, Noor U, Forouhi NG, et al. (2024). Dietary amino acids and risk of stroke subtypes: a prospective analysis of 356,000 participants in seven European countries. Eur J Nutr. 63(1):209–20. https://doi.org/10.1007/s00394-023-03251-4 PMID:37804448
  41. Von Holle A, Adami HO, Baglietto L, Berrington de Gonzalez A, Bertrand KA, Blot W, et al. (2024). BMI and breast cancer risk around age at menopause. Cancer Epidemiol. 89:102545. https://doi.org/10.1016/j.canep.2024.102545 PMID:38377945
  42. Yarmolinsky J, Robinson JW, Mariosa D, Karhunen V, Huang J, Dimou N, et al.; International Lung Cancer Consortium; PRACTICAL Consortium (2024). Association between circulating inflammatory markers and adult cancer risk: a Mendelian randomization analysis. EBioMedicine. 100:104991. https://doi.org/10.1016/j.ebiom.2024.104991 PMID:38301482
  43. Yarmolinsky J, Robinson JW, Mariosa D, Karhunen V, Huang J, Dimou N, et al.; International Lung Cancer Consortium; PRACTICAL Consortium (2024). Association between circulating inflammatory markers and adult cancer risk: a Mendelian randomization analysis. EBioMedicine. 100:104991. https://doi.org/10.1016/j.ebiom.2024.104991 PMID:38301482
  44. Zheng JS, Steur M, Imamura F, Freisling H, Johnson L, van der Schouw YT, et al. (2024). Dietary intake of plant- and animal-derived protein and incident cardiovascular diseases: the pan-European EPIC-CVD case-cohort study. Am J Clin Nutr. 119(5):1164–74. https://doi.org/10.1016/j.ajcnut.2024.03.006 PMID:38479550
  45. Aglago EK, Cross AJ, Riboli E, Fedirko V, Hughes DJ, Fournier A, et al. (2023). Dietary intake of total, heme and non-heme iron and the risk of colorectal cancer in a European prospective cohort study. Br J Cancer. 128(8):1529–40. https://doi.org/10.1038/s41416-023-02164-7 PMID:36759722
  46. Aglago EK, Kim A, Lin Y, Qu C, Evangelou M, Ren Y, et al. (2023). A Genetic Locus within the FMN1/GREM1 Gene Region Interacts with Body Mass Index in Colorectal Cancer Risk. Cancer Res. 83(15):2572–83. https://doi.org/10.1158/0008-5472.CAN-22-3713 PMID:37249599
  47. Alcala K, Poustchi H, Viallon V, Islami F, Pourshams A, Sadjadi A, et al. (2023). Incident cancers attributable to using opium and smoking cigarettes in the Golestan cohort study. EClinicalMedicine. 64:102229. https://doi.org/10.1016/j.eclinm.2023.102229 PMID:37781157
  48. Alcolea JA, Donat-Vargas C, Chatziioannou AC, Keski-Rahkonen P, Robinot N, Molina AJ, et al. (2023). Metabolomic Signatures of Exposure to Nitrate and Trihalomethanes in Drinking Water and Colorectal Cancer Risk in a Spanish Multicentric Study (MCC-Spain). Environ Sci Technol. 57(48):19316–29. https://doi.org/10.1021/acs.est.3c05814 PMID:37962559
  49. Alfano R, Zugna D, Barros H, Bustamante M, Chatzi L, Ghantous A, et al. (2023). Cord blood epigenome-wide meta-analysis in six European-based child cohorts identifies signatures linked to rapid weight growth. BMC Med. 21(1):17. https://doi.org/10.1186/s12916-022-02685-7 PMID:36627699
  50. Allione A, Viberti C, Cotellessa I, Catalano C, Casalone E, Cugliari G, et al. (2023). Blood cell DNA methylation biomarkers in preclinical malignant pleural mesothelioma: The EPIC prospective cohort. Int J Cancer. 152(4):725–37. https://doi.org/10.1002/ijc.34339 PMID:36305648
  51. Almanza-Aguilera E, Davila-Cordova E, Guiñón-Fort D, Farràs M, Masala G, Santucci de Magistris M, et al. (2023). Correlation Analysis between Dietary Intake of Tyrosols and Their Food Sources and Urinary Excretion of Tyrosol and Hydroxytyrosol in a European Population. Antioxidants (Basel). 12(3):715. https://doi.org/10.3390/antiox12030715 PMID:36978963
  52. Aune D, Mahamat-Saleh Y, Kobeissi E, Feng T, Heath AK, Janszky I (2023). Blood pressure, hypertension and the risk of atrial fibrillation: a systematic review and meta-analysis of cohort studies. Eur J Epidemiol. 38(2):145–78. https://doi.org/10.1007/s10654-022-00914-0 PMID:36626102
  53. Aune D, Schlesinger S, Mahamat-Saleh Y, Zheng B, Udeh-Momoh CT, Middleton LT (2023). Diabetes mellitus, prediabetes and the risk of Parkinson’s disease: a systematic review and meta-analysis of 15 cohort studies with 29.9 million participants and 86,345 cases. Eur J Epidemiol. 38(6):591–604. https://doi.org/10.1007/s10654-023-00970-0 PMID:37185794
  54. Ballout N, Etievant L, Viallon V (2023). On the use of cross-validation for the calibration of the adaptive lasso. Biom J. 65(5):e2200047. https://doi.org/10.1002/bimj.202200047 PMID:36960476
  55. Becerra-Tomás N, Balducci K, Abar L, Aune D, Cariolou M, Greenwood DC, et al. (2023). Postdiagnosis dietary factors, supplement use and breast cancer prognosis: Global Cancer Update Programme (CUP Global) systematic literature review and meta-analysis. Int J Cancer. 152(4):616–34. https://doi.org/10.1002/ijc.34321 PMID:36279902
  56. Bennett M, Pistillo A, Recalde M, Reyes C, Freisling H, Duarte-Salles T (2023). Time trends in the incidence of cardiovascular disease, hypertension and diabetes by sex and socioeconomic status in Catalonia, Spain: a population-based cohort study. BMJ Open. 13(5):e066404. https://doi.org/10.1136/bmjopen-2022-066404 PMID:37225269
  57. Blanco-Lopez J, Iguacel I, Pisanu S, Almeida CCB, Steliarova-Foucher E, Sierens C, et al. (2023). Role of Maternal Diet in the Risk of Childhood Acute Leukemia: A Systematic Review and Meta-Analysis. Int J Environ Res Public Health. 20(7):5428. https://doi.org/10.3390/ijerph20075428 PMID:37048042
  58. Bolling BW, Aune D, Noh H, Petersen KS, Freisling H (2023). Dried Fruits, Nuts, and Cancer Risk and Survival: A Review of the Evidence and Future Research Directions. Nutrients. 15(6):1443. https://doi.org/10.3390/nu15061443 PMID:36986173
  59. Bonet C, Crous-Bou M, Tsilidis KK, Gunter MJ, Kaaks R, Schulze MB, et al. (2023). The association between body fatness and mortality among breast cancer survivors: results from a prospective cohort study. Eur J Epidemiol. 38(5):545–57. https://doi.org/10.1007/s10654-023-00979-5 PMID:36988840
  60. Botteri E, Peveri G, Berstad P, Bagnardi V, Chen SLF, Sandanger TM, et al. (2023). Changes in Lifestyle and Risk of Colorectal Cancer in the European Prospective Investigation Into Cancer and Nutrition. Am J Gastroenterol. 118(4):702–11. https://doi.org/10.14309/ajg.0000000000002065 PMID:36227801
  61. Bouras E, Kim AE, Lin Y, Morrison J, Du M, Albanes D, et al. (2023). Genome-wide interaction analysis of folate for colorectal cancer risk. Am J Clin Nutr. 118(5):881–91. https://doi.org/10.1016/j.ajcnut.2023.08.010 PMID:37640106
  62. Bull C, Hazelwood E, Bell JA, Tan V, Constantinescu AE, Borges C, et al. (2023). Identifying metabolic features of colorectal cancer liability using Mendelian randomization. Elife. 12:26. https://doi.org/10.7554/eLife.87894 PMID:38127078
  63. Cacau LT, Hanley-Cook GT, Huybrechts I, De Henauw S, Kersting M, Gonzalez-Gross M, et al. (2023). Relative validity of the Planetary Health Diet Index by comparison with usual nutrient intakes, plasma food consumption biomarkers, and adherence to the Mediterranean diet among European adolescents: the HELENA study. Eur J Nutr. 62(6):2527–39. https://doi.org/10.1007/s00394-023-03171-3 PMID:37171585
  64. Cairat M, Pottegård A, Olesen M, Dossus L, Fournier A, Hicks B (2023). Antiplatelet drugs and breast cancer risk in a large nationwide Danish case-control study. Int J Cancer. 152(7):1337–47. https://doi.org/10.1002/ijc.34343 PMID:36346115
  65. Cariolou M, Abar L, Aune D, Balducci K, Becerra-Tomás N, Greenwood DC, et al. (2023). Postdiagnosis recreational physical activity and breast cancer prognosis: Global Cancer Update Programme (CUP Global) systematic literature review and meta-analysis. Int J Cancer. 152(4):600–15. https://doi.org/10.1002/ijc.34324 PMID:36279903
  66. Carreras-Torres R, Kim AE, Lin Y, Díez-Obrero V, Bien SA, Qu C, et al. (2023). Genome-wide Interaction Study with Smoking for Colorectal Cancer Risk Identifies Novel Genetic Loci Related to Tumor Suppression, Inflammation, and Immune Response. Cancer Epidemiol Biomarkers Prev. 32(3):315–28. https://doi.org/10.1158/1055-9965.EPI-22-0763 PMID:36576985
  67. Castañeda J, Gil-Lespinard M, Almanza-Aguilera E, Llaha F, Gómez JH, Bondonno N, et al. (2023). Association between classes and subclasses of polyphenol intake and 5-year body weight changes in the EPIC-PANACEA study. Obesity (Silver Spring). 31(4):1146–58. https://doi.org/10.1002/oby.23689 PMID:36693804
  68. Castro-Espin C, Bonet C, Crous-Bou M, Katzke V, Le Cornet C, Jannasch F, et al. (2023). Dietary patterns related to biological mechanisms and survival after breast cancer diagnosis: results from a cohort study. Br J Cancer. 128(7):1301–10. https://doi.org/10.1038/s41416-023-02169-2 PMID:36737658
  69. Castro-Espin C, Bonet C, Crous-Bou M, Nadal-Zaragoza N, Tjønneland A, Mellemkjær L, et al. (2023). Association of Mediterranean diet with survival after breast cancer diagnosis in women from nine European countries: results from the EPIC cohort study. BMC Med. 21(1):225. https://doi.org/10.1186/s12916-023-02934-3 PMID:37365585
  70. Chaby LE, Lasseter HC, Contrepois K, Salek RM, Turck CW, Thompson A, et al. (2023). Correction: Chaby et al. Cross-Platform Evaluation of Commercially Targeted and Untargeted Metabolomics Approaches to Optimize the Investigation of Psychiatric Disease. Metabolites 2021, 11, 609. Metabolites. 13(8):9. https://doi.org/10.3390/metabo13080933 PMID:37623909
  71. Chan DSM, Vieira R, Abar L, Aune D, Balducci K, Cariolou M, et al. (2023). Postdiagnosis body fatness, weight change and breast cancer prognosis: Global Cancer Update Program (CUP global) systematic literature review and meta-analysis. Int J Cancer. 152(4):572–99. https://doi.org/10.1002/ijc.34322 PMID:36279884
  72. Chang K, Gunter MJ, Rauber F, Levy RB, Huybrechts I, Kliemann N, et al. (2023). Ultra-processed food consumption, cancer risk and cancer mortality: a large-scale prospective analysis within the UK Biobank. EClinicalMedicine. 56:101840. https://doi.org/10.1016/j.eclinm.2023.101840 PMID:36880051
  73. Chapagain R, Giri B, Bhattarai T, Dhungana J, Walters M, Damasco E, et al. (2023). A cross-sectional study evaluating the prevalence and predictors of malnutrition among children and adolescents visiting an urban academic hospital in Nepal. Public Health Nutr. 26(12):2738–47. https://doi.org/10.1017/S136898002300188X PMID:37811557
  74. Chen SLF, Nøst TH, Botteri E, Ferrari P, Braaten T, Sandanger TM, et al. (2023). Overall lifestyle changes in adulthood are associated with cancer incidence in the Norwegian Women and Cancer Study (NOWAC) – a prospective cohort study. BMC Public Health. 23(1):633. https://doi.org/10.1186/s12889-023-15476-3 PMID:37013506
  75. Christakoudi S, Tsilidis KK, Dossus L, Rinaldi S, Weiderpass E, Antoniussen CS, et al. (2023). A body shape index (ABSI) is associated inversely with post-menopausal progesterone-receptor-negative breast cancer risk in a large European cohort. BMC Cancer. 23(1):562. https://doi.org/10.1186/s12885-023-11056-1 PMID:37337133
  76. Clasen JL, Mabunda R, Heath AK, Kaaks R, Katzke V, Schulze MB, et al. (2023). Reproductive and hormonal factors and risk of renal cell carcinoma among women in the European Prospective Investigation into Cancer and Nutrition. Cancer Med. 12(14):15588–600. https://doi.org/10.1002/cam4.6207 PMID:37269199
  77. Collaboration NCDRF; NCD Risk Factor Collaboration (NCD-RisC) (2023). Global variation in diabetes diagnosis and prevalence based on fasting glucose and hemoglobin A1c. Nat Med. 29(11):2885–901. https://doi.org/10.1038/s41591-023-02610-2 PMID:37946056
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