Published in Am J Epidemiol on December 07, 2005
Fruit and vegetable intake and risk of breast cancer by hormone receptor status. J Natl Cancer Inst (2013) 1.94
Validity and calibration of food frequency questionnaires used with African-American adults in the Jackson Heart Study. J Am Diet Assoc (2009) 1.67
A combined healthy lifestyle score and risk of pancreatic cancer in a large cohort study. Arch Intern Med (2009) 1.42
Dietary intake in the Personalized Medicine Research Project: a resource for studies of gene-diet interaction. Nutr J (2011) 1.27
ADIPOQ polymorphisms, monounsaturated fatty acids, and obesity risk: the GOLDN study. Obesity (Silver Spring) (2008) 1.15
Alcohol use and risk of pancreatic cancer: the NIH-AARP Diet and Health Study. Am J Epidemiol (2009) 1.09
Using the web for recruitment, screen, tracking, data management, and quality control in a dietary assessment clinical validation trial. Contemp Clin Trials (2009) 1.08
Dietary patterns, food groups, and rectal cancer risk in Whites and African-Americans. Cancer Epidemiol Biomarkers Prev (2009) 1.05
Added sugar and sugar-sweetened foods and beverages and the risk of pancreatic cancer in the National Institutes of Health-AARP Diet and Health Study. Am J Clin Nutr (2008) 1.05
Polyunsaturated fatty acids modulate the effect of TCF7L2 gene variants on postprandial lipemia. J Nutr (2009) 1.01
Sugars and risk of mortality in the NIH-AARP Diet and Health Study. Am J Clin Nutr (2014) 1.01
Meat intake and meat preparation in relation to risk of postmenopausal breast cancer in the NIH-AARP diet and health study. Int J Cancer (2009) 0.98
Preventing a Cardiovascular Disease Epidemic among Indigenous Populations through Lifestyle Changes. Int J Prev Med (2012) 0.95
Validating an FFQ for intake of episodically consumed foods: application to the National Institutes of Health-AARP Diet and Health Study. Public Health Nutr (2011) 0.95
Sugars in diet and risk of cancer in the NIH-AARP Diet and Health Study. Int J Cancer (2011) 0.94
The Tracking Study: description of a randomized controlled trial of variations on weight tracking frequency in a behavioral weight loss program. Contemp Clin Trials (2014) 0.92
Differences between food group reports of low-energy reporters and non-low-energy reporters on a food frequency questionnaire. J Am Diet Assoc (2009) 0.87
Differential association of sugar-sweetened beverages in men and women: is it the sugar or calories? Am J Clin Nutr (2014) 0.87
Weight loss amelioration of non-alcoholic steatohepatitis linked to shifts in hepatic ceramide expression and serum ceramide levels. Hepatol Res (2011) 0.84
Daily calcium intake in male children and adolescents obtained from the rapid assessment method and the 24-hour recall method. Nutr J (2007) 0.84
Reliability and validity of the weight status and dietary intake measures in the COMPASS questionnaire: are the self-reported measures of body mass index (BMI) and Canada's food guide servings robust? Int J Behav Nutr Phys Act (2013) 0.82
A common CNR1 (cannabinoid receptor 1) haplotype attenuates the decrease in HDL cholesterol that typically accompanies weight gain. PLoS One (2010) 0.82
Relative validity and reliability of an FFQ in youth with type 1 diabetes. Public Health Nutr (2014) 0.80
Antioxidant and DNA methylation-related nutrients and risk of distal colorectal cancer. Cancer Causes Control (2010) 0.79
Diet and carbohydrate food knowledge of multi-ethnic women: a comparative analysis of pregnant women with and without Gestational Diabetes Mellitus. PLoS One (2013) 0.77
Reliability and concurrent and construct validity of the Strategies for Weight Management measure for adults. Obes Res Clin Pract (2015) 0.77
Dietary Carbohydrate Modifies the Inverse Association Between Saturated Fat Intake and Cholesterol on Very Low-Density Lipoproteins. Lipid Insights (2011) 0.77
Sex-specific associations between screen time and lipoprotein subfractions. Int J Sport Nutr Exerc Metab (2013) 0.75
The association between LRP-1 variants and chylomicron uptake after a high fat meal. Nutr Metab Cardiovasc Dis (2013) 0.75
Shedding light on research participation effects in behaviour change trials: a qualitative study examining research participant experiences. BMC Public Health (2016) 0.75
Overweight, obesity, and mortality in a large prospective cohort of persons 50 to 71 years old. N Engl J Med (2006) 16.17
Structure of dietary measurement error: results of the OPEN biomarker study. Am J Epidemiol (2003) 8.25
Using intake biomarkers to evaluate the extent of dietary misreporting in a large sample of adults: the OPEN study. Am J Epidemiol (2003) 7.68
Statistical methods for estimating usual intake of nutrients and foods: a review of the theory. J Am Diet Assoc (2006) 6.26
A new statistical method for estimating the usual intake of episodically consumed foods with application to their distribution. J Am Diet Assoc (2006) 5.61
Americans do not meet federal dietary recommendations. J Nutr (2010) 4.94
A comparison of a food frequency questionnaire with a 24-hour recall for use in an epidemiological cohort study: results from the biomarker-based Observing Protein and Energy Nutrition (OPEN) study. Int J Epidemiol (2003) 4.39
Performance of a food-frequency questionnaire in the US NIH-AARP (National Institutes of Health-American Association of Retired Persons) Diet and Health Study. Public Health Nutr (2007) 3.88
Dietary fiber intake and mortality in the NIH-AARP diet and health study. Arch Intern Med (2011) 3.77
Mediterranean dietary pattern and prediction of all-cause mortality in a US population: results from the NIH-AARP Diet and Health Study. Arch Intern Med (2007) 3.58
Modeling data with excess zeros and measurement error: application to evaluating relationships between episodically consumed foods and health outcomes. Biometrics (2009) 3.30
Fruit and vegetable assessment: performance of 2 new short instruments and a food frequency questionnaire. J Am Diet Assoc (2002) 3.16
Assessment of the accuracy of portion size reports using computer-based food photographs aids in the development of an automated self-administered 24-hour recall. J Am Diet Assoc (2010) 2.95
Body mass and weight change in adults in relation to mortality risk. Am J Epidemiol (2013) 2.87
Sources of food group intakes among the US population, 2001-2002. J Am Diet Assoc (2008) 2.83
A mixed-effects model approach for estimating the distribution of usual intake of nutrients: the NCI method. Stat Med (2010) 2.81
Use of vitamin, mineral, nonvitamin, and nonmineral supplements in the United States: The 1987, 1992, and 2000 National Health Interview Survey results. J Am Diet Assoc (2004) 2.78
A comparison of two dietary instruments for evaluating the fat-breast cancer relationship. Int J Epidemiol (2006) 2.65
Dietary fat and postmenopausal invasive breast cancer in the National Institutes of Health-AARP Diet and Health Study cohort. J Natl Cancer Inst (2007) 2.63
Pooled results from 5 validation studies of dietary self-report instruments using recovery biomarkers for energy and protein intake. Am J Epidemiol (2014) 2.53
Dietary fiber and whole-grain consumption in relation to colorectal cancer in the NIH-AARP Diet and Health Study. Am J Clin Nutr (2007) 2.51
The Automated Self-Administered 24-hour dietary recall (ASA24): a resource for researchers, clinicians, and educators from the National Cancer Institute. J Acad Nutr Diet (2012) 2.48
Supplemental and dietary vitamin E, beta-carotene, and vitamin C intakes and prostate cancer risk. J Natl Cancer Inst (2006) 2.48
The food propensity questionnaire: concept, development, and validation for use as a covariate in a model to estimate usual food intake. J Am Diet Assoc (2006) 2.47
Cognitive research enhances accuracy of food frequency questionnaire reports: results of an experimental validation study. J Am Diet Assoc (2002) 2.45
Dealing with dietary measurement error in nutritional cohort studies. J Natl Cancer Inst (2011) 2.43
Formative research of a quick list for an automated self-administered 24-hour dietary recall. J Am Diet Assoc (2007) 2.42
Bias in dietary-report instruments and its implications for nutritional epidemiology. Public Health Nutr (2002) 2.37
A prospective study of tobacco, alcohol, and the risk of esophageal and gastric cancer subtypes. Am J Epidemiol (2007) 2.31
Prospective study of adiposity and weight change in relation to prostate cancer incidence and mortality. Cancer (2007) 2.29
Adiposity, adult weight change, and postmenopausal breast cancer risk. Arch Intern Med (2007) 2.23
Need for technological innovation in dietary assessment. J Am Diet Assoc (2010) 2.17
Consumption of aspartame-containing beverages and incidence of hematopoietic and brain malignancies. Cancer Epidemiol Biomarkers Prev (2006) 2.15
Could exposure assessment problems give us wrong answers to nutrition and cancer questions? J Natl Cancer Inst (2004) 2.12
Psychosocial predictors of energy underreporting in a large doubly labeled water study. Am J Clin Nutr (2004) 2.11
Dietary sources of nutrients among US adults, 1994 to 1996. J Am Diet Assoc (2004) 2.06
Observational epidemiologic studies of nutrition and cancer: the next generation (with better observation). Cancer Epidemiol Biomarkers Prev (2009) 2.04
Environment And Genetics in Lung cancer Etiology (EAGLE) study: an integrative population-based case-control study of lung cancer. BMC Public Health (2008) 2.02
Dietary fibre and colorectal adenoma in a colorectal cancer early detection programme. Lancet (2003) 1.95
Adjustments to improve the estimation of usual dietary intake distributions in the population. J Nutr (2004) 1.84
Dietary fatty acids and pancreatic cancer in the NIH-AARP diet and health study. J Natl Cancer Inst (2009) 1.71
Changes in vegetable and fruit consumption and awareness among US adults: results of the 1991 and 1997 5 A Day for Better Health Program surveys. J Am Diet Assoc (2002) 1.67
Dietary patterns as identified by factor analysis and colorectal cancer among middle-aged Americans. Am J Clin Nutr (2008) 1.65
Challenges in converting an interviewer-administered food probe database to self-administration in the National Cancer Institute Automated Self-administered 24-Hour Recall (ASA24). J Food Compost Anal (2009) 1.65
Performance of a short tool to assess dietary intakes of fruits and vegetables, percentage energy from fat and fibre. Public Health Nutr (2004) 1.64
Body size and renal cell cancer incidence in a large US cohort study. Am J Epidemiol (2008) 1.64
Interrelationships of added sugars intake, socioeconomic status, and race/ethnicity in adults in the United States: National Health Interview Survey, 2005. J Am Diet Assoc (2009) 1.51
Comparing 3 dietary pattern methods--cluster analysis, factor analysis, and index analysis--With colorectal cancer risk: The NIH-AARP Diet and Health Study. Am J Epidemiol (2009) 1.50
Prospective study of fruit and vegetable intake and risk of prostate cancer. J Natl Cancer Inst (2007) 1.49
Meat and meat-mutagen intake and pancreatic cancer risk in the NIH-AARP cohort. Cancer Epidemiol Biomarkers Prev (2007) 1.46
The population distribution of ratios of usual intakes of dietary components that are consumed every day can be estimated from repeated 24-hour recalls. J Nutr (2009) 1.45
Pooled results from 5 validation studies of dietary self-report instruments using recovery biomarkers for potassium and sodium intake. Am J Epidemiol (2015) 1.45
Taking advantage of the strengths of 2 different dietary assessment instruments to improve intake estimates for nutritional epidemiology. Am J Epidemiol (2012) 1.42
Development and evaluation of a short instrument to estimate usual dietary intake of percentage energy from fat. J Am Diet Assoc (2007) 1.42