Selected Publications

Carbohydrate-Related Projects

  1. Haslam DE, Chasman DI, Peloso GM, Herman MA, Dupuis J, Lichtenstein AH, Smith CE, Ridker PM, Jacques PF, Mora S, McKeown NM. Sugar-sweetened Beverage Consumption and Plasma Lipoprotein Cholesterol, Apolipoprotein, and Lipoprotein Particle Size Concentrations in U.S. Adults [published online ahead of print, 2022 Aug 2]. J Nutr. 2022;152(11):2534-2545. doi:10.1093/jn/nxac166
  2. Haslam DE*, Peloso GM, Smith CE, Dupuis J, Dashti HS, Lichtenstein AH, Herman MA, McKeown NM, and the CHARGE Nutrition Working Group. Sugar-Sweetened Beverage Consumption May Modify Associations Between Genetic Variants in the CHREBP (Carbohydrate Responsive Element Binding Protein) Locus and HDL-C (High-Density Lipoprotein Cholesterol) and Triglyceride Concentrations. Circ Genom Precis Med. 2021;14(4):e003288. 2021;14:e003288. doi:10.1161/CIRCGEN.120.003288
  3. Haslam DE, Peloso GM, Herman MA, Dupuis J, Lichtenstein AH, Smith CE, McKeown NM. Beverage Consumption and Longitudinal Changes in Lipoprotein Concentrations and Incident Dyslipidemia in US Adults: The Framingham Heart Study. J Am Heart Assoc. 2020;9(5):e014083. doi:10.1161/JAHA.119.014083 

Fiber-Related Publications

  1. McKeown NM, Fahey GC Jr, Slavin J, van der Kamp JW. Fibre intake for optimal health: how can healthcare professionals support people to reach dietary recommendations?. BMJ. 2022;378:e054370. Published 2022 Jul 20. doi:10.1136/bmj-2020-054370  
  2. McRorie JW, Gibb RD, Sloan KJ, McKeown NM. Psyllium. Nutrition Today. 2021;56(4):169-182. doi:10.1097/nt.0000000000000489   
  3. McKeown NM, Livingston KA, Sawicki CM, Miller KB. Evidence mapping to assess the available research on fiber, whole grains, and health. Nutrition Reviews. 2020;78(Supplement_1):37-42. doi:10.1093/nutrit/nuz062      

Other Select Publications

  1. Gervis JE, Ma J, Chui KK, McKeown NM, Levy D, Lichtenstein AH. Bitter-and Umami-Related Genes Are Differentially Associated With Food Group Intakes–the Framingham Heart Study. The Journal of Nutrition. 2023. doi:10.1016/j.tjnut.2022.11.005
  2. Lai C-Q, Parnell LD, Lee Y-C, et al. The impact of alcoholic drinks and dietary factors on epigenetic markers associated with triglyceride levels. Frontiers in Genetics. 2023;14:185. doi:10.3389/fgene.2023.1117778
  3. Ross AB, McKeown NM, Beck EJ, van der Kamp J-W, Miller KB, Seal CJ. Whole grain definitions do not need to be complicated. The American Journal of Clinical Nutrition. 2023;117(5):1043-1044. doi:10.1016/j.ajcnut.2023.02.027
  4. Ross AB, Shertukde SP, Staffier KL, Chung M, Jacques PF, McKeown NM. The relationship between whole-grain intake and measures of cognitive decline, mood, and anxiety–a systematic review. Advances in Nutrition. 2023. doi:10.1016/j.advnut.2023.04.003
  5. Webb P, Staffier KL, Lee H, et al. Measurement of diets that are healthy, environmentally sustainable, affordable, and equitable: A scoping review of metrics, findings, and research gaps. Frontiers in Nutrition. 2023;10. doi:10.3389/fnut.2023.1125955
  6. Lai C-Q, Parnell L, Lee Y-C, Zeng H, Smith, McKeown NM, Ordovas J. The impact of alcoholic drinks and dietary factors on epigenetic markers associated with triglyceride levels. 2022. doi:10.21203/rs.3.rs-1700692/v1 
  7. Gerber S, Rogers G, Staffier K, Karlsen M, Folta S, Jacques P, Naumova E, McKeown NM. Adherence, compliance, and diet quality among popular diet followers. Current Developments in Nutrition. 2022;6(Supplement_1):364-364. doi:10.1093/cdn/nzac054.019 
  8. Kim Y, Huan T, Joehanes R, McKeown NM, Horvath S, Levy D, Ma J. Higher Diet quality relates to decelerated epigenetic aging. The American Journal of Clinical Nutrition. 2021;115(1):163-170. doi:10.1093/ajcn/nqab201 
  9. Kissock KR, Vieux F, Mathias KC, Drewnowski A, Chris J Seal CJ, Masset G, Smith J, Mejborn H, McKeown NM, Beck EJ. Aligning nutrient profiling with dietary guidelines: modifying the Nutri-Score algorithm to include whole grains [published correction appears in Eur J Nutr. 2021 Dec 17;:]. Eur J Nutr. 2022;61(1):541-553. https://doi.org/10.1007/s00394-021-02718-6
  10. Sawicki CM, Jacques PF, Lichtenstein AH, Rogers GT, Ma J, Saltzman E, McKeown NM. Whole- and refined-grain consumption and longitudinal changes in cardiometabolic risk factors in the framingham offspring cohort. The Journal of Nutrition. 2021;151(9):2790-2799. doi:10.1093/jn/nxab177 
  11. Karlsen MC, Livingston KA, Agoulnik D, Miki A, Lichtenstein AH, Gilhooly CH, Folta SC, Economos CD, McKeown NM. Part 2: Theoretical intakes of modern-day paleo diets. Nutrition Today. 2021;56(4):158-168. doi:10.1097/nt.0000000000000490 
  12. Roberts SB, Silver RE, Das SK, Fielding RA, Gilhooly CH, Jacques PF, Kelly JM, Mason JB, McKeown NM, Reardon MA, Rowan S, Saltzman E, Shukitt-Hale B, Smith CE, Taylor AA, Wu D, Zhang FF, Panetta K, Booth S. Healthy aging—nutrition matters: Start early and screen often. Advances in Nutrition. 2021;12(4):1438-1448. doi:10.1093/advances/nmab032 
  13. Livingston K, Karlsen M, Rogers G, Das S, Lichtenstein A, Folta S, Chang R, Economos C, Jacques P, McKeown NM. Differences in eating behavior among followers of popular diets across categories of perceived adherence. Current Developments in Nutrition. 2021;5(Supplement_2):980-980. doi:10.1093/cdn/nzab051_024 
  14. Agoulnik D, Lalonde MP, Ellmore GS, McKeown NM. Part 1: the origin and evolution of the paleo diet. Nutrition Today. 2021;56(3):94-104. doi:10.1097/nt.0000000000000482 
  15. Drewnowski A, McKeown NM, Kissock K, Beck B, Mejborn H, Vieux F, Smith J, Masset G, Seal CJ.Perspective: Why whole grains should be incorporated into nutrient-profile models to better capture nutrient density. Advances in Nutrition. 2021;12(3):600-608. doi:10.1093/advances/nmaa172 
  16. Sawicki CM, Lichtenstein AH, Rogers GT, Jacques PF, Ma J, Saltzman E, McKeown NM. Comparison of indices of carbohydrate quality and food sources of dietary fiber on longitudinal changes in waist circumference in the Framingham offspring cohort. Nutrients. 2021;13(3):997. doi:10.3390/nu13030997 
  17. Lee YC, Christensen JJ, Parnell LD, Smith CE, Shao J, McKeown NM, Ordovás JM, Lai CQ. Using machine learning to predict obesity based on genome-wide and epigenome-wide gene–gene and gene–diet interactions. Frontiers in Genetics. 2022;12. doi:10.3389/fgene.2021.783845 
  18. Karlsen MC, Lichtenstein AH, Economos CD, Folta SC, Chang R, Rogers G, Jacques PF, Livingston KA, McKeown NM. Participant characteristics and self-reported weight status in a cross-sectional pilot survey of self-identified followers of popular diets: Adhering to dietary approaches for personal taste (ADAPT) feasibility survey. Public Health Nutrition. 2020;23(15):2717-2727. doi:10.1017/s1368980020001330 
  19. Liu J, Rehm CD, Shi P, McKeown NM, Mozaffarian D, Micha R. A comparison of different practical indices for assessing carbohydrate quality among carbohydrate-rich processed products in the US. PLOS ONE. 2020;15(5). doi:10.1371/journal.pone.0231572 
  20. Miki AJ, Livingston KA, Karlsen MC, Folta SC, McKeown NM. Using evidence mapping to examine motivations for following plant-based diets. Current Developments in Nutrition. 2020;4(3). doi:10.1093/cdn/nzaa013 
  21. Dashti HS, Merino J, Lane JM, Smith CE, Tanaka T, McKeown NM, et al. Genome-wide association study of breakfast skipping links clock regulation with food timing. The American Journal of Clinical Nutrition. 2019;110(2):473-484. doi:10.1093/ajcn/nqz076 
  22. Shams-White MM, Cuccia A, Ona F, Bullock S, Chui K, McKeown NM, Must A. Lessons learned from the creating active communities and Healthy Environments Toolkit Pilot: A qualitative study. Environmental Health Insights. 2019;13:117863021986223. doi:10.1177/1178630219862231 
  23. Koecher KJ, McKeown NM, Sawicki CM, Menon RS, Slavin JL. Effect of whole-grain consumption on changes in fecal microbiota: A review of Human Intervention Trials. Nutrition Reviews. 2019;77(7):487-497. doi:10.1093/nutrit/nuz008 
  24. Maki KC, Palacios OM, Koecher K, Sawicki CM, Livingston KA, Bell M, Nelson Cortes H, McKeown NM. The Relationship between Whole Grain Intake and Body Weight: Results of Meta-Analyses of Observational Studies and Randomized Controlled Trials. Nutrients. 2019; 11(6):1245. doi:10.3390/nu11061245