[Skip to Navigation]
Sign In
Table 1.  Age-Standardized Characteristics of Participants From the Nurses’ Health Study and Health Professionals Follow-up Studya
Age-Standardized Characteristics of Participants From the Nurses’ Health Study and Health Professionals Follow-up Studya
Table 2.  Energy-Adjusted Intake of Whole Grain and Risk of Hepatocellular Carcinoma in the Nurses’ Health Study and Health Professionals Follow-up Study
Energy-Adjusted Intake of Whole Grain and Risk of Hepatocellular Carcinoma in the Nurses’ Health Study and Health Professionals Follow-up Study
Table 3.  Energy-Adjusted Intake of Dietary Fiber and Risk of Hepatocellular Carcinoma in the Nurses’ Health Study and Health Professionals Follow-up Study
Energy-Adjusted Intake of Dietary Fiber and Risk of Hepatocellular Carcinoma in the Nurses’ Health Study and Health Professionals Follow-up Study
1.
Bray  F, Ren  JS, Masuyer  E, Ferlay  J.  Global estimates of cancer prevalence for 27 sites in the adult population in 2008.  Int J Cancer. 2013;132(5):1133-1145. doi:10.1002/ijc.27711PubMedGoogle ScholarCrossref
2.
Nguyen  HA, Miller  AI, Dieperink  E,  et al.  Spectrum of disease in U.S. veteran patients with hepatitis C.  Am J Gastroenterol. 2002;97(7):1813-1820. doi:10.1111/j.1572-0241.2002.05800.xPubMedGoogle ScholarCrossref
3.
Mittal  S, El-Serag  HB.  Epidemiology of hepatocellular carcinoma: consider the population.  J Clin Gastroenterol. 2013;47(suppl):S2-S6. doi:10.1097/MCG.0b013e3182872f29PubMedGoogle ScholarCrossref
4.
Jemal  A, Ward  EM, Johnson  CJ,  et al.  Annual report to the nation on the status of cancer, 1975-2014, featuring survival.  J Natl Cancer Inst. 2017;109(9). doi:10.1093/jnci/djx030PubMedGoogle Scholar
5.
Rahib  L, Smith  BD, Aizenberg  R, Rosenzweig  AB, Fleshman  JM, Matrisian  LM.  Projecting cancer incidence and deaths to 2030: the unexpected burden of thyroid, liver, and pancreas cancers in the United States.  Cancer Res. 2014;74(11):2913-2921. doi:10.1158/0008-5472.CAN-14-0155PubMedGoogle ScholarCrossref
6.
Makarova-Rusher  OV, Altekruse  SF, McNeel  TS,  et al.  Population attributable fractions of risk factors for hepatocellular carcinoma in the United States.  Cancer. 2016;122(11):1757-1765. doi:10.1002/cncr.29971PubMedGoogle ScholarCrossref
7.
Ioannou  GN.  Hepatitis B virus in the United States: infection, exposure, and immunity rates in a nationally representative survey.  Ann Intern Med. 2011;154(5):319-328. doi:10.7326/0003-4819-154-5-201103010-00006PubMedGoogle ScholarCrossref
8.
Denniston  MM, Jiles  RB, Drobeniuc  J,  et al.  Chronic hepatitis C virus infection in the United States, national health and nutrition examination survey 2003 to 2010.  Ann Intern Med. 2014;160(5):293-300. doi:10.7326/M13-1133PubMedGoogle ScholarCrossref
9.
World Cancer Research Fund International. Continuous update project expert report 2018: recommendations and public health and policy implications. https://www.wcrf.org/sites/default/files/Cancer-Prevention-Recommendations-2018.pdf. Accessed January 14, 2019.
10.
Steffen  LM, Jacobs  DR  Jr, Murtaugh  MA,  et al.  Whole grain intake is associated with lower body mass and greater insulin sensitivity among adolescents.  Am J Epidemiol. 2003;158(3):243-250. doi:10.1093/aje/kwg146PubMedGoogle ScholarCrossref
11.
Cho  SS, Qi  L, Fahey  GC  Jr, Klurfeld  DM.  Consumption of cereal fiber, mixtures of whole grains and bran, and whole grains and risk reduction in type 2 diabetes, obesity, and cardiovascular disease.  Am J Clin Nutr. 2013;98(2):594-619. doi:10.3945/ajcn.113.067629PubMedGoogle ScholarCrossref
12.
Yao  B, Fang  H, Xu  W,  et al.  Dietary fiber intake and risk of type 2 diabetes: a dose-response analysis of prospective studies.  Eur J Epidemiol. 2014;29(2):79-88. doi:10.1007/s10654-013-9876-xPubMedGoogle ScholarCrossref
13.
Aune  D, Keum  N, Giovannucci  E,  et al.  Whole grain consumption and risk of cardiovascular disease, cancer, and all cause and cause specific mortality: systematic review and dose-response meta-analysis of prospective studies.  BMJ. 2016;353:i2716. doi:10.1136/bmj.i2716PubMedGoogle ScholarCrossref
14.
Ross  AB, Godin  JP, Minehira  K, Kirwan  JP.  Increasing whole grain intake as part of prevention and treatment of nonalcoholic fatty liver disease.  Int J Endocrinol. 2013;2013:585876. doi:10.1155/2013/585876PubMedGoogle ScholarCrossref
15.
Georgoulis  M, Kontogianni  MD, Tileli  N,  et al.  The impact of cereal grain consumption on the development and severity of non-alcoholic fatty liver disease.  Eur J Nutr. 2014;53(8):1727-1735. doi:10.1007/s00394-014-0679-yPubMedGoogle ScholarCrossref
16.
McKeown  NM.  Whole grain intake and insulin sensitivity: evidence from observational studies.  Nutr Rev. 2004;62(7 Pt 1):286-291.PubMedGoogle Scholar
17.
Qi  L, van Dam  RM, Liu  S, Franz  M, Mantzoros  C, Hu  FB.  Whole-grain, bran, and cereal fiber intakes and markers of systemic inflammation in diabetic women.  Diabetes Care. 2006;29(2):207-211. doi:10.2337/diacare.29.02.06.dc05-1903PubMedGoogle ScholarCrossref
18.
Weickert  MO, Möhlig  M, Schöfl  C,  et al.  Cereal fiber improves whole-body insulin sensitivity in overweight and obese women.  Diabetes Care. 2006;29(4):775-780. doi:10.2337/diacare.29.04.06.dc05-2374PubMedGoogle ScholarCrossref
19.
Keshavarzian  A, Choudhary  S, Holmes  EW,  et al.  Preventing gut leakiness by oats supplementation ameliorates alcohol-induced liver damage in rats.  J Pharmacol Exp Ther. 2001;299(2):442-448.PubMedGoogle Scholar
20.
Costabile  A, Klinder  A, Fava  F,  et al.  Whole-grain wheat breakfast cereal has a prebiotic effect on the human gut microbiota: a double-blind, placebo-controlled, crossover study.  Br J Nutr. 2008;99(1):110-120. doi:10.1017/S0007114507793923PubMedGoogle ScholarCrossref
21.
Langkamp-Henken  B, Nieves  C  Jr, Culpepper  T,  et al.  Fecal lactic acid bacteria increased in adolescents randomized to whole-grain but not refined-grain foods, whereas inflammatory cytokine production decreased equally with both interventions.  J Nutr. 2012;142(11):2025-2032. doi:10.3945/jn.112.164996PubMedGoogle ScholarCrossref
22.
Ross  AB, Bruce  SJ, Blondel-Lubrano  A,  et al.  A whole-grain cereal-rich diet increases plasma betaine, and tends to decrease total and LDL-cholesterol compared with a refined-grain diet in healthy subjects.  Br J Nutr. 2011;105(10):1492-1502. doi:10.1017/S0007114510005209PubMedGoogle ScholarCrossref
23.
Sanduzzi Zamparelli  M, Rocco  A, Compare  D, Nardone  G.  The gut microbiota: a new potential driving force in liver cirrhosis and hepatocellular carcinoma.  United European Gastroenterol J. 2017;5(7):944-953. doi:10.1177/2050640617705576PubMedGoogle ScholarCrossref
24.
Giannelli  V, Di Gregorio  V, Iebba  V,  et al.  Microbiota and the gut-liver axis: bacterial translocation, inflammation and infection in cirrhosis.  World J Gastroenterol. 2014;20(45):16795-16810. doi:10.3748/wjg.v20.i45.16795PubMedGoogle ScholarCrossref
25.
Fedirko  V, Lukanova  A, Bamia  C,  et al.  Glycemic index, glycemic load, dietary carbohydrate, and dietary fiber intake and risk of liver and biliary tract cancers in Western Europeans.  Ann Oncol. 2013;24(2):543-553. doi:10.1093/annonc/mds434PubMedGoogle ScholarCrossref
26.
Salvini  S, Hunter  DJ, Sampson  L,  et al.  Food-based validation of a dietary questionnaire: the effects of week-to-week variation in food consumption.  Int J Epidemiol. 1989;18(4):858-867. doi:10.1093/ije/18.4.858PubMedGoogle ScholarCrossref
27.
Feskanich  D, Rimm  EB, Giovannucci  EL,  et al.  Reproducibility and validity of food intake measurements from a semiquantitative food frequency questionnaire.  J Am Diet Assoc. 1993;93(7):790-796. doi:10.1016/0002-8223(93)91754-EPubMedGoogle ScholarCrossref
28.
Watt  BK, Merrill  AL.  Composition of foods: raw, processed, prepared. Washington: Consumer and Food Economics Institute, Agricultural Research Service, US Department of Agriculture; 1964.
29.
Stampfer  MJ, Willett  WC, Speizer  FE,  et al.  Test of the National Death Index.  Am J Epidemiol. 1984;119(5):837-839. doi:10.1093/oxfordjournals.aje.a113804PubMedGoogle ScholarCrossref
30.
Petrick  JL, Campbell  PT, Koshiol  J,  et al.  Tobacco, alcohol use and risk of hepatocellular carcinoma and intrahepatic cholangiocarcinoma: the Liver Cancer Pooling Project.  Br J Cancer. 2018;118(7):1005-1012. doi:10.1038/s41416-018-0007-zPubMedGoogle ScholarCrossref
31.
Rimm  EB, Stampfer  MJ, Colditz  GA, Chute  CG, Litin  LB, Willett  WC.  Validity of self-reported waist and hip circumferences in men and women.  Epidemiology. 1990;1(6):466-473. doi:10.1097/00001648-199011000-00009PubMedGoogle ScholarCrossref
32.
Chasan-Taber  S, Rimm  EB, Stampfer  MJ,  et al.  Reproducibility and validity of a self-administered physical activity questionnaire for male health professionals.  Epidemiology. 1996;7(1):81-86. doi:10.1097/00001648-199601000-00014PubMedGoogle ScholarCrossref
33.
Hu  FB, Stampfer  MJ, Rimm  E,  et al.  Dietary fat and coronary heart disease: a comparison of approaches for adjusting for total energy intake and modeling repeated dietary measurements.  Am J Epidemiol. 1999;149(6):531-540. doi:10.1093/oxfordjournals.aje.a009849PubMedGoogle ScholarCrossref
34.
Willett  WC, Howe  GR, Kushi  LH.  Adjustment for total energy intake in epidemiologic studies.  Am J Clin Nutr. 1997;65(4)(suppl):1220S-1228S. doi:10.1093/ajcn/65.4.1220SPubMedGoogle ScholarCrossref
35.
Chettouh  H, Lequoy  M, Fartoux  L, Vigouroux  C, Desbois-Mouthon  C.  Hyperinsulinaemia and insulin signalling in the pathogenesis and the clinical course of hepatocellular carcinoma.  Liver Int. 2015;35(10):2203-2217. doi:10.1111/liv.12903PubMedGoogle ScholarCrossref
36.
Wu  H, Flint  AJ, Qi  Q,  et al.  Association between dietary whole grain intake and risk of mortality: two large prospective studies in US men and women.  JAMA Intern Med. 2015;175(3):373-384. doi:10.1001/jamainternmed.2014.6283PubMedGoogle ScholarCrossref
37.
de Munter  JS, Hu  FB, Spiegelman  D, Franz  M, van Dam  RM.  Whole grain, bran, and germ intake and risk of type 2 diabetes: a prospective cohort study and systematic review.  PLoS Med. 2007;4(8):e261. doi:10.1371/journal.pmed.0040261PubMedGoogle ScholarCrossref
38.
Flint  AJ, Hu  FB, Glynn  RJ,  et al.  Whole grains and incident hypertension in men.  Am J Clin Nutr. 2009;90(3):493-498. doi:10.3945/ajcn.2009.27460PubMedGoogle ScholarCrossref
39.
Jensen  MK, Koh-Banerjee  P, Hu  FB,  et al.  Intakes of whole grains, bran, and germ and the risk of coronary heart disease in men.  Am J Clin Nutr. 2004;80(6):1492-1499. doi:10.1093/ajcn/80.6.1492PubMedGoogle ScholarCrossref
40.
He  M, van Dam  RM, Rimm  E, Hu  FB, Qi  L.  Whole-grain, cereal fiber, bran, and germ intake and the risks of all-cause and cardiovascular disease-specific mortality among women with type 2 diabetes mellitus.  Circulation. 2010;121(20):2162-2168. doi:10.1161/CIRCULATIONAHA.109.907360PubMedGoogle ScholarCrossref
41.
Slavin  J.  Why whole grains are protective: biological mechanisms.  Proc Nutr Soc. 2003;62(1):129-134. doi:10.1079/PNS2002221PubMedGoogle ScholarCrossref
42.
Kim  Y, Je  Y.  Dietary fiber intake and total mortality: a meta-analysis of prospective cohort studies.  Am J Epidemiol. 2014;180(6):565-573. doi:10.1093/aje/kwu174PubMedGoogle ScholarCrossref
43.
Threapleton  DE, Greenwood  DC, Evans  CE,  et al.  Dietary fibre intake and risk of cardiovascular disease: systematic review and meta-analysis.  BMJ. 2013;347:f6879. doi:10.1136/bmj.f6879PubMedGoogle ScholarCrossref
44.
Aune  D, Chan  DS, Lau  R,  et al.  Dietary fibre, whole grains, and risk of colorectal cancer: systematic review and dose-response meta-analysis of prospective studies.  BMJ. 2011;343:d6617. doi:10.1136/bmj.d6617PubMedGoogle ScholarCrossref
45.
Ben  Q, Sun  Y, Chai  R, Qian  A, Xu  B, Yuan  Y.  Dietary fiber intake reduces risk for colorectal adenoma: a meta-analysis.  Gastroenterology. 2014;146(3):689-699.e6. doi:10.1053/j.gastro.2013.11.003PubMedGoogle ScholarCrossref
46.
Murphy  N, Norat  T, Ferrari  P,  et al.  Dietary fibre intake and risks of cancers of the colon and rectum in the European Prospective Investigation into Cancer and Nutrition (EPIC).  PLoS One. 2012;7(6):e39361. doi:10.1371/journal.pone.0039361PubMedGoogle ScholarCrossref
47.
Hansen  L, Skeie  G, Landberg  R,  et al.  Intake of dietary fiber, especially from cereal foods, is associated with lower incidence of colon cancer in the HELGA cohort.  Int J Cancer. 2012;131(2):469-478. doi:10.1002/ijc.26381PubMedGoogle ScholarCrossref
48.
Schatzkin  A, Mouw  T, Park  Y,  et al.  Dietary fiber and whole-grain consumption in relation to colorectal cancer in the NIH-AARP Diet and Health Study.  Am J Clin Nutr. 2007;85(5):1353-1360. doi:10.1093/ajcn/85.5.1353PubMedGoogle ScholarCrossref
49.
DiNicolantonio  JJ, Subramonian  AM, O’Keefe  JH.  Added fructose as a principal driver of non-alcoholic fatty liver disease: a public health crisis.  Open Heart. 2017;4(2):e000631. doi:10.1136/openhrt-2017-000631PubMedGoogle ScholarCrossref
50.
Jurek  AM, Greenland  S, Maldonado  G, Church  TR.  Proper interpretation of non-differential misclassification effects: expectations vs observations.  Int J Epidemiol. 2005;34(3):680-687. doi:10.1093/ije/dyi060PubMedGoogle ScholarCrossref
51.
Willett  WC, Lenart  E. Reproducibility and Validity of Food Frequency Questionnaires. In: Willett  WC, ed.  Nutritional Epidemiology. 3rd ed. New York: Oxford University Press; 2012.
52.
Campbell  PT, Newton  CC, Freedman  ND,  et al.  Body mass index, waist circumference, diabetes, and risk of liver cancer for U.S. adults.  Cancer Res. 2016;76(20):6076-6083. doi:10.1158/0008-5472.CAN-16-0787PubMedGoogle ScholarCrossref
53.
Petrick  JL, Freedman  ND, Graubard  BI,  et al.  Coffee consumption and risk of hepatocellular carcinoma and intrahepatic cholangiocarcinoma by sex: the Liver Cancer Pooling Project.  Cancer Epidemiol Biomarkers Prev. 2015;24(9):1398-1406. doi:10.1158/1055-9965.EPI-15-0137PubMedGoogle ScholarCrossref
Original Investigation
February 21, 2019

Association of Intake of Whole Grains and Dietary Fiber With Risk of Hepatocellular Carcinoma in US Adults

Author Affiliations
  • 1Department of Nutrition, School of Public Health, Anhui Medical University, Hefei, Anhui, China
  • 2Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts
  • 3Department of Biostatistics and Epidemiology, School of Public Health, China Medical University, Shenyang, Liaoning, China
  • 4Center for Evidence-Based Chinese Medicine, School of Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China
  • 5Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
  • 6Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
  • 7Liver Center, Division of Gastroenterology, Department of Medicine, Massachusetts General Hospital, Boston
  • 8Division of Gastroenterology, Department of Medicine, Massachusetts General Hospital, Boston
  • 9Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Boston
  • 10National Cancer Centre Singapore, Singapore
  • 11Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York
  • 12Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts
JAMA Oncol. 2019;5(6):879-886. doi:10.1001/jamaoncol.2018.7159
Key Points

Question  Is high intake of whole grains and dietary fiber associated with lower risk of developing hepatocellular carcinoma (HCC)?

Findings  In this cohort study of 125 455 participants in the United States, including 141 patients with HCC, with an average follow-up of 24.2 years, increased intake of whole grains was associated with a reduced risk of HCC. A nonsignificant inverse HCC association was observed for total bran but not for germ; increased intake of cereal fiber but not fruit or vegetable fiber was associated with a nonsignificant lower risk of HCC.

Meaning  Increased intake of whole grains and possibly cereal fiber and bran could be associated with reduced risk of HCC among US adults.

Abstract

Importance  Increased intake of whole grain and dietary fiber has been associated with lower risk of insulin resistance, hyperinsulinemia, and inflammation, which are known predisposing factors for hepatocellular carcinoma (HCC). Therefore, we hypothesized that long-term intake of whole grains and dietary fiber may be associated with lower risk of HCC.

Objective  To assess the associations of whole grain and dietary fiber intake with the risk of HCC.

Design, Setting, and Participants  Cohort study of the intake of whole grains, their subcomponents (bran and germ), and dietary fiber (cereal, fruit, and vegetable) in 125 455 participants from 2 cohorts from the Nurses’ Health Study and the Health Professionals Follow-up Study.

Exposures  Intake of whole grains, their subcomponents (bran and germ), and dietary fiber (cereal, fruit, and vegetable) were collected and updated almost every 4 years using validated food frequency questionnaires.

Main Outcomes and Measures  Multivariable hazard ratios (HRs) and 95% CIs were estimated using Cox proportional hazards regression model after adjusting for most known HCC risk factors.

Results  After an average follow-up of 24.2 years, we identified 141 patients with HCC among 125 455 participants (77 241 women and 48 214 men (mean [SD] age, 63.4 [10.7] years). Increased whole grain intake was significantly associated with lower risk of HCC (the highest vs lowest tertile intake: HR, 0.63; 95% CI, 0.41-0.96; P = .04 for trend). A nonsignificant inverse HCC association was observed for total bran (HR, 0.70; 95% CI, 0.46-1.07; P=.11 for trend), but not for germ. Increased intake of cereal fiber (HR, 0.68; 95% CI, 0.45-1.03; P = .07 for trend), but not fruit or vegetable fiber, was associated with a nonsignificant reduced risk of HCC.

Conclusions and Relevance  Increased intake of whole grains and possibly cereal fiber and bran could be associated with reduced risk of HCC among adults in the United States. Future studies that carefully consider hepatitis B and C virus infections are needed to replicate our findings, to examine these associations in other racial/ethnic or high-risk populations, and to elucidate the underlying mechanisms.

Introduction

Primary liver cancer is the sixth most commonly occurring cancer and the second leading cause of death from cancer worldwide.1-3 The predominant histological form of primary liver cancer is hepatocellular carcinoma (HCC). In the United States, the incidence of HCC has been increasing since the 1980s,4 and HCC is projected to be among the top 3 causes of cancer-related mortality by 2030.5 A large proportion of HCC cases in the United States cannot be explained by current known risk factors, including hepatitis B and C virus (HBV and HCV) infections, metabolic disorders, and smoking.6 Although chronic HBV and HCV infections are the most important risk factors for HCC, their prevalence rates (approximately 0.11% for HBV7 and 1.0% for HCV8) in the general US population are relatively low. Dietary factors have been suspected as important, but only excessive alcohol use and aflatoxin-contaminated foods are considered to be established dietary risk factors for HCC.9

Whole grains are a major source of dietary fiber and consist of bran, germ, and endosperm, compared with refined grains that contain only the endosperm. The whole grains are good sources of dietary fiber, vitamins, minerals, phytonutrients, and other numerous nutrients, which are removed during the refining process. Consumption of whole grains and dietary fiber, especially cereal fiber, has been associated with lower risk of obesity,10,11 type 2 diabetes,11-13 and nonalcoholic fatty liver disease,14,15 which are known predisposing factors for HCC.6 In addition to improving insulin sensitivity and metabolic regulation and decreasing systemic inflammation,10,14,16-18 intake of whole grains and dietary fiber may improve gut integrity19 and alter gut microbiota composition, thereby leading to increased production of microbiota-related metabolites, including short-chain fatty acids, particularly butyrate.20-22 Gut integrity, the composition of gut microbiota, and metabolites may play an important role in the development of liver diseases, including HCC.14,23,24 We thus hypothesized that long-term intake of whole grains and dietary fiber may lower the risk of HCC.

To our knowledge, no epidemiological study has yet examined the association between whole grain intake and HCC risk, and only 1 cohort study25 has investigated dietary fiber in relation to HCC risk. We thus conducted this study to assess these associations by using data from 2 large prospective cohort studies, the Nurses’ Health Study (NHS)26 and the Health Professionals Follow-up Study (HPFS).27 For whole grains, we also investigated each individual grain food group and the grain subcomponents bran and germ for their potential association with reduced HCC risk. For dietary fiber, we also investigated the associations of fiber by food source (ie, cereal, fruit, and vegetable fiber) with HCC risk.

Methods
Sampling and Data Collection

The NHS cohort was established in 1976 with enrollment of 121 700 female registered nurses aged 30 to 55 years. The HPFS cohort was established in 1986 with enrollment of 51 529 male health professionals aged 32 to 87 years. Every 2 years, participants have updated their information on medical history, lifestyle, and incidence of chronic diseases using validated questionnaires, with a response rate of more than 90% in each cohort. The study protocol was approved by the Human Research Committee of Brigham and Women’s Hospital and the Harvard T. H. Chan School of Public Health. The completion of the self-administered questionnaire was considered to imply written informed consent.

Assessments of Diet

In the NHS and HPFS cohorts, a validated food frequency questionnaire (FFQ)26,27 was administered in 1980 and 1986, respectively, and almost every 4 years thereafter. The FFQs inquired about average consumption of foods (with a prespecified standard portion size) during the previous year using 9 categories of intake frequency ranging from “never or less than once per month” to “6 or more times per day.” Nutrient intake, including dietary fiber and dietary fiber from fruits, vegetables, and cereals, was calculated by multiplying the frequency of each food consumed by the nutrient content per serving of that food and summing across all foods and beverages. The nutrient content was primarily obtained from the composition database from the US Department of Agriculture (USDA).28 Details on assessments of dietary intake of whole grains and fiber as well as their validity and reproducibility are described in the eMethods in the Supplement.

Ascertainment of HCC

In each cohort, participants were asked for written permission to obtain their medical records and pathological reports if they reported liver cancer on biennial questionnaires. For all deaths attributable to liver cancer, we requested permission from next of kin to review medical and pathological records. All possible cancer cases were further confirmed by 1 study physician who was blinded to exposure data and who extracted information from the medical or pathological reports regarding the presence of underlying cirrhosis diagnosed by histopathologic analysis; appropriate cross-sectional imaging; the presence of HBV or HCV infections; and the histological subtypes of the cancer (ie, HCC vs intrahepatic cholangiocarcinoma). We further searched state vital statistics records using the National Death Index for potential unreported cancer deaths; this approach can capture more than 98% of overall deaths.29 Additional data on HBV/HCV infection status, which were derived from laboratory blood tests, were also available from a nested case-control study of HCC in the NHS/HPFS cohort (26 participants with HCC and 78 control participants).30

Assessments of Other Covariates

We collected information on age, weight, smoking status, physical activity (metabolic equivalent task–hours per week), aspirin use, and type 2 diabetes status at baseline and during follow-up. Detailed descriptions on the validity and reproducibility of these self-reported data, such as body weight and physical activity, have been published elsewhere.31,32

Statistical Analyses

In the present study, we used the year 1984 as the baseline for the NHS cohort and 1986 for the HPFS cohort. We excluded participants with a history of cancer (except for nonmelanoma skin cancer) or those with no reports of dietary intake at baseline. After exclusions, 125 455 participants (77 241 women and 48 214 men) were included in this analysis. We calculated person-years of follow-up from the return date of the first dietary questionnaire to the date of diagnosis of HCC, date of death, loss to follow-up, or the end of follow-up (June 1, 2012, for NHS or January 31, 2012, for HPFS), whichever came first. To better represent long-term dietary habits and lifestyle and to minimize within-person variation, we created and used the cumulative average of whole grain and dietary fiber intake, as well as other covariates, including physical activity, body mass index (BMI) (calculated as weight in kilograms divided by height in meters squared), smoking habits, regular aspirin use, alcohol intake, and type 2 diabetes.33 Intakes of whole grains and dietary fiber were energy adjusted using the residual method.34

Time-varying Cox proportional hazards regression was used to estimate hazard ratios (HRs) and 95% CIs and were stratified by age (months) and calendar time (2-year intervals). For whole grains, we assessed the association of grain subcomponents, bran and germ, with HCC risk. For dietary fiber, we assessed major food sources of fiber according to intake of the food and by the amount of fiber contained within the food. In multivariable analyses, we controlled for race, physical activity, BMI, smoking habits, regular aspirin use, alcohol intake, and type 2 diabetes. Adjustment for total coffee intake yielded essentially the same results and thus was not included in the final multivariable models. To maximize statistical power, we combined results from the 2 cohorts because we did not detect any significant heterogeneity by sex for all heterogeneity tests of whole grain and dietary fiber. We presented HRs by tertiles and per 1 SD increase of total and specific whole grain and dietary fiber intake (grams per day). To assess departure from linearity, we included both linear and quadratic terms (ie, the absolute value and the value squared) in the model and found no evidence of a nonlinear association. Linear trend test was conducted by assigning medians to each tertile as a continuous variable in the models. We found no violation of proportional hazard assumption after testing an interaction term between whole grain or dietary fiber intake and follow-up time. We performed several sensitivity analyses (eMethods in the Supplement). All statistical tests were 2-sided and performed using SAS (version 9.4, SAS Institute Inc).

Results

After an average follow-up of 24.2 years, we identified 70 women and 71 men with incident HCC. Among 125 455 participants (77 241 women and 48 214 men (mean [SD] age, 63.4 [10.7] years), those in the highest tertiles of whole grain intake and dietary fiber intake were slightly older, had lower BMI, engaged in more physical activity, consumed less alcohol, were less likely to be smokers, were more likely to use aspirin and postmenopausal hormone (women only), and tended to have higher intake of fruits, vegetables, total folate, multivitamin, and dietary vitamin D, but less fat, compared with participants in the lowest tertiles (Table 1). Similar patterns were observed in women and men (eTable 1 in the Supplement).

In multivariable-adjusted analyses, higher whole grain intake was significantly associated with lower HCC risk (comparing the highest to the lowest tertile intake: HR, 0.63; 95% CI, 0.41-0.96; P = .04 for trend) (Table 2). We found a suggestive but not significant inverse association between total bran intake and HCC (HR, 0.70; 95% CI, 0.46-1.07) and a weaker association for total germ (HR, 0.89; 95% CI, 0.58-1.36). These associations changed only slightly after mutual adjustment for bran and germ (bran: HR, 0.66; 95% CI, 0.41-1.07; germ: HR, 1.10; 95% CI, 0.67-1.82). Additionally, added bran showed an inverse association (HR, 0.69; 95% CI, 0.45-1.06), whereas added germ showed a positive association (HR, 1.22; 95% CI, 0.82-1.82) with HCC risk. When we separately assessed the associations of specific whole grain and grain subcomponents with HCC risk in each cohort, the results were similar to the pooled analyses (eTable 2 in the Supplement).

We did not find any significant associations of total fiber intake, fruit, or vegetable fiber intake with the risk of HCC (Table 3). A suggestive but not significant inverse association was observed for cereal fiber intake (HR, 0.68; 95% CI, 0.45-1.03; P = .06 for trend). The associations of dietary fiber and fiber by food source with HCC risk in each cohort were consistent with the results from the pooled analyses (eTable 3 in the Supplement). We further analyzed the associations with HCC risk according to whole-grain food groups and found a suggestive but not significant inverse association with whole grain cold breakfast cereal (HR, 0.82; 95% CI, 0.54-1.23) (eTable 4 in the Supplement).

Among 105 patients with HCC who had information on HBV/HCV infection status, 23 patients were infected with HBV or HCV. We did not detect any differential associations of whole grain, bran and germ, or dietary fiber with the risk of viral and nonviral HCC, although the statistical power was limited owing to the small number of participants with cancer. In addition, the overall results did not materially change after excluding patients with HCC and HBV or HCV infection (n = 23) (data available from the authors). Likewise, there was no evidence of differential associations of whole grain or dietary fiber with the risk of cirrhotic and noncirrhotic HCC. In exploratory subgroup analyses, we found no significant interactions with age, BMI, physical activity, smoking, alcohol drinking, type 2 diabetes, and aspirin use (eTable 5 in the Supplement).

Discussion

Our findings indicate a potential benefit from whole grain, bran, and cereal fiber intake in HCC primary prevention. After controlling for alcohol intake, BMI, type 2 diabetes, and other well-known HCC risk factors, we found that participants with increased intake of whole grain had a significantly lower risk of HCC. A stronger association was observed for bran than for germ. Cereal fiber was also suggestively but not significantly associated with reduced risk of HCC, whereas intake of fiber from fruits and from vegetables had no association with HCC risk.

Increased intake of whole grain and its component bran as well as cereal fiber has been associated with improved insulin sensitivity, metabolic regulation, and reduced inflammation.10,14,16-18 Insulin resistance, hyperinsulinemia, and inflammation are known hallmarks of cancer.35 Therefore, increasing intake of whole grain, bran, and cereal fiber may protect against HCC by mitigating the carcinogenic effect of hyperinsulinemia and inflammation. Also, experimental studies showed that whole grain may exert its potential antitumor (including cancers of colorectum and liver) activity through improvement of gut integrity and alteration of gut microbiota composition.19-22

We observed a stronger beneficial association for the whole grain subcomponent of bran than for germ in relation to HCC risk. Similar patterns were also observed for added bran and germ. Results from previous studies of the NHS and HPFS cohorts have suggested that bran, but not germ, was significantly associated with lower risk of total and cardiovascular disease–specific mortality,36 type 2 diabetes,37 hypertension,38 coronary heart disease,39 and cardiovascular disease–specific mortality among individuals with diabetes.40 A potential explanation is that the intake level of germ in our study population is rather low (median intake, 4.2 g/d for total bran vs 0.74 g/d for total germ). Alternatively, bioactive compounds, such as cereal fiber, vitamins, minerals, and phytonutrients, which may potentially explain whole grains’ favorable associations,41 mainly exist in the bran component.39

We found that the potential inverse association between dietary fiber intake and HCC risk appeared to differ by food sources, with cereal fiber associated with lower risk of HCC, whereas fruit or vegetable fiber showed no association. To our knowledge, only 1 published prospective study to date has assessed the risk of incident HCC associated with intake of dietary fiber and its source. This study included 477 206 participants, of which 191 had HCC, from the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort and reported a significant inverse association for cereal fiber, but not for fruit or vegetable fiber.25 These observations are generally consistent with our findings that increasing intake of cereal fiber and whole grain, a primary source of cereal fiber, was associated with reduced risk of HCC. Interestingly, compared with fruit or vegetable fiber, cereal fiber has been shown in our study and other cohort studies to be more consistently associated with lower risk of total mortality,13,42 cardiovascular disease,13,43 type 2 diabetes,12,13 and colorectal cancer.44-48 However, our results on the association of cereal fiber with HCC risk could have been due to chance. Alternatively, a potential explanation is that fruits and vegetables, particularly fruit juice, contain sugar or added sugar such as fructose and sucrose, which may lead to hepatic damage and nonalcoholic fatty liver disease,49 thereby masking the potential benefit of fruit- or vegetable-fiber intake. Overall, the exact reasons for such a difference remain unknown and require further investigation.

Limitations

Our study has several limitations. First, despite an average follow-up of 24.2 years in these 2 cohorts, the number of participants with incident HCC is relatively small. This may reduce the precision of the risk estimates in the analysis. However, the reported significant associations of whole grain, and possibly bran and cereal fiber, with decreased HCC risk are biologically plausible. Nonetheless, future studies with a large number of participants with HCC are warranted to confirm our findings.

Second, potential misclassifications in dietary data are present in any observational study. The misclassification of exposure variables in a cohort study could be nondifferential in most situations and is likely to lead to the underestimation of the observed association if exposure data are binary.50 In the present study, misclassification can lead to bias in either direction even if the misclassification is nondifferential, given the continuous or polytomous exposure data in the analysis. However, FFQs used in these cohorts have showed reasonable reproducibility and validity for assessing intake of grains and fiber as well as other dietary factors.26,27,51

Third, we did not have data on chronic HBV/HCV infection status in all participants, and we were unable to conduct analyses adjusting for or stratifying by HBV/HCV infection status. However, among a subset of participants in which such data were available (183 participants, including 105 with HCC and 78 control participants), HBV/HCV infection status was not correlated with intake of whole grains or dietary fiber. Additionally, previous studies also reported no correlations between obesity,52 smoking habits,30 alcohol use,30 or coffee intake53 and HBV/HCV virus infection. Moreover, results were similar when we excluded the patients with HCC and known chronic HBV/HCV infections. Taken together, our results were less likely to be substantially confounded by HBV/HCV infection status.

Fourth, although our results showed no evidence of the differential association of whole grain and dietary fiber with the risk of viral and nonviral HCC or with the risk of cirrhotic and noncirrhotic HCC, the small number of patients with HCC in the cohort may limit the statistical power of the study and restrict further interaction analyses in these high risk-populations. Thus, future cohort studies are warranted to further investigate this association among high-risk populations (eg, patients with chronic HBV/HCV infection or with chronic liver diseases).

Fifth, the potential selection bias owing to loss to follow-up cannot be totally ruled out, although there is a high follow-up rate in each cohort (>90%). In particular, if there are differences in likelihood of loss to follow-up that are related to exposure status and/or outcome, the observed associations might have been biased. However, our follow-up using the National Death Index,29 which was 1 approach we used to identify unreported HCC in our study, may help capture data from almost all participants with HCC given the high fatality rate of the disease. Finally, our cohorts consist mostly of white patients of European origin living in the United States, and this may limit the generalizability of our results to other racial/ethnic populations or geographic regions.

Conclusions

The present study demonstrated that increased intake of whole grain and possibly bran and cereal fiber was associated with lower risk of HCC. These findings should be interpreted with caution, given the lack of data on HBV/HCV infection in the full cohort and the limited number of participants with HCC in the analysis. Future studies that carefully consider HBV and HCV infections are needed to further examine these associations in other racial/ethnic or high-risk populations and to elucidate the underlying mechanisms. Pooled analyses across cohorts with a large number of participants with HCC would also be helpful, given the low incidence of the disease in the United States. If our findings are confirmed, increasing whole grain consumption may serve as a possible strategy for prevention of primary HCC.

Back to top
Article Information

Accepted for Publication: December 11, 2018.

Corresponding Author: Xuehong Zhang, MD, ScD, Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, 181 Longwood Avenue, Room 453, Boston, MA 02115 (xuehong.zhang@channing.harvard.edu).

Published Online: February 21, 2019. doi:10.1001/jamaoncol.2018.7159

Author Contributions: Drs Yang and Zhang had full access to all of the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis.

Study concept and design: Yang, Giovannucci, Chan, Zhang.

Acquisition, analysis, or interpretation of data: All authors.

Drafting of the manuscript: Yang, Ma, Zhang.

Critical revision of the manuscript for important intellectual content: Yang, Liu, Smith-Warner, Simon, Chong, Qi, Meyerhardt, Giovannucci, Chan, Zhang.

Statistical analysis: Yang, Ma, Chan, Zhang.

Obtained funding: Chan, Zhang.

Administrative, technical, or material support: Liu, Chong, Chan, Zhang.

Study supervision: Giovannucci, Chan, Zhang.

Conflict of Interest Disclosures: Dr Chan reports grants and personal fees from Bayer Pharma AG and personal fees from Pfizer Inc and Janssen outside the submitted work. No other disclosures were reported.

Funding/Support: This work was funded by National Institutes of Health grants to Dr Chan (K24 DK098311) and Dr Zhang (K07 CA188126). Dr Chan is a Stuart and Suzanne Steele Massachusetts General Hospital Research Scholar. Dr Yang was supported by scholarship grants from the Chinese Scholarship Council. Dr Zhang was supported by an American Cancer Society Research Scholar Grant (RSG NEC-130476) and Boston Nutrition Obesity Research Center Pilot and Feasibility Award. The Nurses’ Health Study and Health Professionals Follow-up Study were supported by the National Institutes of Health grants UM1CA186107, P50CA127003, P01CA87969, R01CA49449, and UM1CA167552.

Role of the Funder/Sponsor: The funders had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.

Additional Contributions: We would like to thank the participants and staff of the Nurses’ Health Study and the Health Professionals Follow-up Study for their valuable contributions, as well as the cancer registries for the following states: Alabama, Arizona, Arkansas, California, Colorado, Connecticut, Delaware, Florida, Georgia, Idaho, Illinois, Indiana, Iowa, Kentucky, Louisiana, Maine, Maryland, Massachusetts, Michigan, Nebraska, New Hampshire, New Jersey, New York, North Carolina, North Dakota, Ohio, Oklahoma, Oregon, Pennsylvania, Rhode Island, South Carolina, Tennessee, Texas, Virginia, Washington, and Wyoming. These individuals/registries did not receive compensation for their contributions to the article.

References
1.
Bray  F, Ren  JS, Masuyer  E, Ferlay  J.  Global estimates of cancer prevalence for 27 sites in the adult population in 2008.  Int J Cancer. 2013;132(5):1133-1145. doi:10.1002/ijc.27711PubMedGoogle ScholarCrossref
2.
Nguyen  HA, Miller  AI, Dieperink  E,  et al.  Spectrum of disease in U.S. veteran patients with hepatitis C.  Am J Gastroenterol. 2002;97(7):1813-1820. doi:10.1111/j.1572-0241.2002.05800.xPubMedGoogle ScholarCrossref
3.
Mittal  S, El-Serag  HB.  Epidemiology of hepatocellular carcinoma: consider the population.  J Clin Gastroenterol. 2013;47(suppl):S2-S6. doi:10.1097/MCG.0b013e3182872f29PubMedGoogle ScholarCrossref
4.
Jemal  A, Ward  EM, Johnson  CJ,  et al.  Annual report to the nation on the status of cancer, 1975-2014, featuring survival.  J Natl Cancer Inst. 2017;109(9). doi:10.1093/jnci/djx030PubMedGoogle Scholar
5.
Rahib  L, Smith  BD, Aizenberg  R, Rosenzweig  AB, Fleshman  JM, Matrisian  LM.  Projecting cancer incidence and deaths to 2030: the unexpected burden of thyroid, liver, and pancreas cancers in the United States.  Cancer Res. 2014;74(11):2913-2921. doi:10.1158/0008-5472.CAN-14-0155PubMedGoogle ScholarCrossref
6.
Makarova-Rusher  OV, Altekruse  SF, McNeel  TS,  et al.  Population attributable fractions of risk factors for hepatocellular carcinoma in the United States.  Cancer. 2016;122(11):1757-1765. doi:10.1002/cncr.29971PubMedGoogle ScholarCrossref
7.
Ioannou  GN.  Hepatitis B virus in the United States: infection, exposure, and immunity rates in a nationally representative survey.  Ann Intern Med. 2011;154(5):319-328. doi:10.7326/0003-4819-154-5-201103010-00006PubMedGoogle ScholarCrossref
8.
Denniston  MM, Jiles  RB, Drobeniuc  J,  et al.  Chronic hepatitis C virus infection in the United States, national health and nutrition examination survey 2003 to 2010.  Ann Intern Med. 2014;160(5):293-300. doi:10.7326/M13-1133PubMedGoogle ScholarCrossref
9.
World Cancer Research Fund International. Continuous update project expert report 2018: recommendations and public health and policy implications. https://www.wcrf.org/sites/default/files/Cancer-Prevention-Recommendations-2018.pdf. Accessed January 14, 2019.
10.
Steffen  LM, Jacobs  DR  Jr, Murtaugh  MA,  et al.  Whole grain intake is associated with lower body mass and greater insulin sensitivity among adolescents.  Am J Epidemiol. 2003;158(3):243-250. doi:10.1093/aje/kwg146PubMedGoogle ScholarCrossref
11.
Cho  SS, Qi  L, Fahey  GC  Jr, Klurfeld  DM.  Consumption of cereal fiber, mixtures of whole grains and bran, and whole grains and risk reduction in type 2 diabetes, obesity, and cardiovascular disease.  Am J Clin Nutr. 2013;98(2):594-619. doi:10.3945/ajcn.113.067629PubMedGoogle ScholarCrossref
12.
Yao  B, Fang  H, Xu  W,  et al.  Dietary fiber intake and risk of type 2 diabetes: a dose-response analysis of prospective studies.  Eur J Epidemiol. 2014;29(2):79-88. doi:10.1007/s10654-013-9876-xPubMedGoogle ScholarCrossref
13.
Aune  D, Keum  N, Giovannucci  E,  et al.  Whole grain consumption and risk of cardiovascular disease, cancer, and all cause and cause specific mortality: systematic review and dose-response meta-analysis of prospective studies.  BMJ. 2016;353:i2716. doi:10.1136/bmj.i2716PubMedGoogle ScholarCrossref
14.
Ross  AB, Godin  JP, Minehira  K, Kirwan  JP.  Increasing whole grain intake as part of prevention and treatment of nonalcoholic fatty liver disease.  Int J Endocrinol. 2013;2013:585876. doi:10.1155/2013/585876PubMedGoogle ScholarCrossref
15.
Georgoulis  M, Kontogianni  MD, Tileli  N,  et al.  The impact of cereal grain consumption on the development and severity of non-alcoholic fatty liver disease.  Eur J Nutr. 2014;53(8):1727-1735. doi:10.1007/s00394-014-0679-yPubMedGoogle ScholarCrossref
16.
McKeown  NM.  Whole grain intake and insulin sensitivity: evidence from observational studies.  Nutr Rev. 2004;62(7 Pt 1):286-291.PubMedGoogle Scholar
17.
Qi  L, van Dam  RM, Liu  S, Franz  M, Mantzoros  C, Hu  FB.  Whole-grain, bran, and cereal fiber intakes and markers of systemic inflammation in diabetic women.  Diabetes Care. 2006;29(2):207-211. doi:10.2337/diacare.29.02.06.dc05-1903PubMedGoogle ScholarCrossref
18.
Weickert  MO, Möhlig  M, Schöfl  C,  et al.  Cereal fiber improves whole-body insulin sensitivity in overweight and obese women.  Diabetes Care. 2006;29(4):775-780. doi:10.2337/diacare.29.04.06.dc05-2374PubMedGoogle ScholarCrossref
19.
Keshavarzian  A, Choudhary  S, Holmes  EW,  et al.  Preventing gut leakiness by oats supplementation ameliorates alcohol-induced liver damage in rats.  J Pharmacol Exp Ther. 2001;299(2):442-448.PubMedGoogle Scholar
20.
Costabile  A, Klinder  A, Fava  F,  et al.  Whole-grain wheat breakfast cereal has a prebiotic effect on the human gut microbiota: a double-blind, placebo-controlled, crossover study.  Br J Nutr. 2008;99(1):110-120. doi:10.1017/S0007114507793923PubMedGoogle ScholarCrossref
21.
Langkamp-Henken  B, Nieves  C  Jr, Culpepper  T,  et al.  Fecal lactic acid bacteria increased in adolescents randomized to whole-grain but not refined-grain foods, whereas inflammatory cytokine production decreased equally with both interventions.  J Nutr. 2012;142(11):2025-2032. doi:10.3945/jn.112.164996PubMedGoogle ScholarCrossref
22.
Ross  AB, Bruce  SJ, Blondel-Lubrano  A,  et al.  A whole-grain cereal-rich diet increases plasma betaine, and tends to decrease total and LDL-cholesterol compared with a refined-grain diet in healthy subjects.  Br J Nutr. 2011;105(10):1492-1502. doi:10.1017/S0007114510005209PubMedGoogle ScholarCrossref
23.
Sanduzzi Zamparelli  M, Rocco  A, Compare  D, Nardone  G.  The gut microbiota: a new potential driving force in liver cirrhosis and hepatocellular carcinoma.  United European Gastroenterol J. 2017;5(7):944-953. doi:10.1177/2050640617705576PubMedGoogle ScholarCrossref
24.
Giannelli  V, Di Gregorio  V, Iebba  V,  et al.  Microbiota and the gut-liver axis: bacterial translocation, inflammation and infection in cirrhosis.  World J Gastroenterol. 2014;20(45):16795-16810. doi:10.3748/wjg.v20.i45.16795PubMedGoogle ScholarCrossref
25.
Fedirko  V, Lukanova  A, Bamia  C,  et al.  Glycemic index, glycemic load, dietary carbohydrate, and dietary fiber intake and risk of liver and biliary tract cancers in Western Europeans.  Ann Oncol. 2013;24(2):543-553. doi:10.1093/annonc/mds434PubMedGoogle ScholarCrossref
26.
Salvini  S, Hunter  DJ, Sampson  L,  et al.  Food-based validation of a dietary questionnaire: the effects of week-to-week variation in food consumption.  Int J Epidemiol. 1989;18(4):858-867. doi:10.1093/ije/18.4.858PubMedGoogle ScholarCrossref
27.
Feskanich  D, Rimm  EB, Giovannucci  EL,  et al.  Reproducibility and validity of food intake measurements from a semiquantitative food frequency questionnaire.  J Am Diet Assoc. 1993;93(7):790-796. doi:10.1016/0002-8223(93)91754-EPubMedGoogle ScholarCrossref
28.
Watt  BK, Merrill  AL.  Composition of foods: raw, processed, prepared. Washington: Consumer and Food Economics Institute, Agricultural Research Service, US Department of Agriculture; 1964.
29.
Stampfer  MJ, Willett  WC, Speizer  FE,  et al.  Test of the National Death Index.  Am J Epidemiol. 1984;119(5):837-839. doi:10.1093/oxfordjournals.aje.a113804PubMedGoogle ScholarCrossref
30.
Petrick  JL, Campbell  PT, Koshiol  J,  et al.  Tobacco, alcohol use and risk of hepatocellular carcinoma and intrahepatic cholangiocarcinoma: the Liver Cancer Pooling Project.  Br J Cancer. 2018;118(7):1005-1012. doi:10.1038/s41416-018-0007-zPubMedGoogle ScholarCrossref
31.
Rimm  EB, Stampfer  MJ, Colditz  GA, Chute  CG, Litin  LB, Willett  WC.  Validity of self-reported waist and hip circumferences in men and women.  Epidemiology. 1990;1(6):466-473. doi:10.1097/00001648-199011000-00009PubMedGoogle ScholarCrossref
32.
Chasan-Taber  S, Rimm  EB, Stampfer  MJ,  et al.  Reproducibility and validity of a self-administered physical activity questionnaire for male health professionals.  Epidemiology. 1996;7(1):81-86. doi:10.1097/00001648-199601000-00014PubMedGoogle ScholarCrossref
33.
Hu  FB, Stampfer  MJ, Rimm  E,  et al.  Dietary fat and coronary heart disease: a comparison of approaches for adjusting for total energy intake and modeling repeated dietary measurements.  Am J Epidemiol. 1999;149(6):531-540. doi:10.1093/oxfordjournals.aje.a009849PubMedGoogle ScholarCrossref
34.
Willett  WC, Howe  GR, Kushi  LH.  Adjustment for total energy intake in epidemiologic studies.  Am J Clin Nutr. 1997;65(4)(suppl):1220S-1228S. doi:10.1093/ajcn/65.4.1220SPubMedGoogle ScholarCrossref
35.
Chettouh  H, Lequoy  M, Fartoux  L, Vigouroux  C, Desbois-Mouthon  C.  Hyperinsulinaemia and insulin signalling in the pathogenesis and the clinical course of hepatocellular carcinoma.  Liver Int. 2015;35(10):2203-2217. doi:10.1111/liv.12903PubMedGoogle ScholarCrossref
36.
Wu  H, Flint  AJ, Qi  Q,  et al.  Association between dietary whole grain intake and risk of mortality: two large prospective studies in US men and women.  JAMA Intern Med. 2015;175(3):373-384. doi:10.1001/jamainternmed.2014.6283PubMedGoogle ScholarCrossref
37.
de Munter  JS, Hu  FB, Spiegelman  D, Franz  M, van Dam  RM.  Whole grain, bran, and germ intake and risk of type 2 diabetes: a prospective cohort study and systematic review.  PLoS Med. 2007;4(8):e261. doi:10.1371/journal.pmed.0040261PubMedGoogle ScholarCrossref
38.
Flint  AJ, Hu  FB, Glynn  RJ,  et al.  Whole grains and incident hypertension in men.  Am J Clin Nutr. 2009;90(3):493-498. doi:10.3945/ajcn.2009.27460PubMedGoogle ScholarCrossref
39.
Jensen  MK, Koh-Banerjee  P, Hu  FB,  et al.  Intakes of whole grains, bran, and germ and the risk of coronary heart disease in men.  Am J Clin Nutr. 2004;80(6):1492-1499. doi:10.1093/ajcn/80.6.1492PubMedGoogle ScholarCrossref
40.
He  M, van Dam  RM, Rimm  E, Hu  FB, Qi  L.  Whole-grain, cereal fiber, bran, and germ intake and the risks of all-cause and cardiovascular disease-specific mortality among women with type 2 diabetes mellitus.  Circulation. 2010;121(20):2162-2168. doi:10.1161/CIRCULATIONAHA.109.907360PubMedGoogle ScholarCrossref
41.
Slavin  J.  Why whole grains are protective: biological mechanisms.  Proc Nutr Soc. 2003;62(1):129-134. doi:10.1079/PNS2002221PubMedGoogle ScholarCrossref
42.
Kim  Y, Je  Y.  Dietary fiber intake and total mortality: a meta-analysis of prospective cohort studies.  Am J Epidemiol. 2014;180(6):565-573. doi:10.1093/aje/kwu174PubMedGoogle ScholarCrossref
43.
Threapleton  DE, Greenwood  DC, Evans  CE,  et al.  Dietary fibre intake and risk of cardiovascular disease: systematic review and meta-analysis.  BMJ. 2013;347:f6879. doi:10.1136/bmj.f6879PubMedGoogle ScholarCrossref
44.
Aune  D, Chan  DS, Lau  R,  et al.  Dietary fibre, whole grains, and risk of colorectal cancer: systematic review and dose-response meta-analysis of prospective studies.  BMJ. 2011;343:d6617. doi:10.1136/bmj.d6617PubMedGoogle ScholarCrossref
45.
Ben  Q, Sun  Y, Chai  R, Qian  A, Xu  B, Yuan  Y.  Dietary fiber intake reduces risk for colorectal adenoma: a meta-analysis.  Gastroenterology. 2014;146(3):689-699.e6. doi:10.1053/j.gastro.2013.11.003PubMedGoogle ScholarCrossref
46.
Murphy  N, Norat  T, Ferrari  P,  et al.  Dietary fibre intake and risks of cancers of the colon and rectum in the European Prospective Investigation into Cancer and Nutrition (EPIC).  PLoS One. 2012;7(6):e39361. doi:10.1371/journal.pone.0039361PubMedGoogle ScholarCrossref
47.
Hansen  L, Skeie  G, Landberg  R,  et al.  Intake of dietary fiber, especially from cereal foods, is associated with lower incidence of colon cancer in the HELGA cohort.  Int J Cancer. 2012;131(2):469-478. doi:10.1002/ijc.26381PubMedGoogle ScholarCrossref
48.
Schatzkin  A, Mouw  T, Park  Y,  et al.  Dietary fiber and whole-grain consumption in relation to colorectal cancer in the NIH-AARP Diet and Health Study.  Am J Clin Nutr. 2007;85(5):1353-1360. doi:10.1093/ajcn/85.5.1353PubMedGoogle ScholarCrossref
49.
DiNicolantonio  JJ, Subramonian  AM, O’Keefe  JH.  Added fructose as a principal driver of non-alcoholic fatty liver disease: a public health crisis.  Open Heart. 2017;4(2):e000631. doi:10.1136/openhrt-2017-000631PubMedGoogle ScholarCrossref
50.
Jurek  AM, Greenland  S, Maldonado  G, Church  TR.  Proper interpretation of non-differential misclassification effects: expectations vs observations.  Int J Epidemiol. 2005;34(3):680-687. doi:10.1093/ije/dyi060PubMedGoogle ScholarCrossref
51.
Willett  WC, Lenart  E. Reproducibility and Validity of Food Frequency Questionnaires. In: Willett  WC, ed.  Nutritional Epidemiology. 3rd ed. New York: Oxford University Press; 2012.
52.
Campbell  PT, Newton  CC, Freedman  ND,  et al.  Body mass index, waist circumference, diabetes, and risk of liver cancer for U.S. adults.  Cancer Res. 2016;76(20):6076-6083. doi:10.1158/0008-5472.CAN-16-0787PubMedGoogle ScholarCrossref
53.
Petrick  JL, Freedman  ND, Graubard  BI,  et al.  Coffee consumption and risk of hepatocellular carcinoma and intrahepatic cholangiocarcinoma by sex: the Liver Cancer Pooling Project.  Cancer Epidemiol Biomarkers Prev. 2015;24(9):1398-1406. doi:10.1158/1055-9965.EPI-15-0137PubMedGoogle ScholarCrossref
×