Published in J Am Diet Assoc on August 01, 2009
The cost of US foods as related to their nutritive value. Am J Clin Nutr (2010) 2.85
Caloric sweetener consumption and dyslipidemia among US adults. JAMA (2010) 2.30
Relative and absolute availability of healthier food and beverage alternatives across communities in the United States. Am J Public Health (2014) 2.24
Health literacy is associated with healthy eating index scores and sugar-sweetened beverage intake: findings from the rural Lower Mississippi Delta. J Am Diet Assoc (2011) 1.19
Sex differences in the physiology of eating. Am J Physiol Regul Integr Comp Physiol (2013) 1.18
Consumption of added sugars among US children and adults by food purchase location and food source. Am J Clin Nutr (2014) 1.07
Association of δ¹³C in fingerstick blood with added-sugar and sugar-sweetened beverage intake. J Am Diet Assoc (2011) 1.06
Sugars in diet and risk of cancer in the NIH-AARP Diet and Health Study. Int J Cancer (2011) 0.94
Racial/ethnic differences in dietary intake among WIC families prior to food package revisions. J Nutr Educ Behav (2012) 0.94
Talking health, a pragmatic randomized-controlled health literacy trial targeting sugar-sweetened beverage consumption among adults: rationale, design & methods. Contemp Clin Trials (2013) 0.94
Socioeconomic position and childhood-adolescent weight status in rich countries: a systematic review, 1990-2013. BMC Pediatr (2015) 0.88
The comparative validity of interactive multimedia questionnaires to paper-administered questionnaires for beverage intake and physical activity: pilot study. JMIR Res Protoc (2013) 0.88
The influence of family income trajectories from birth to adulthood on adult oral health: findings from the 1982 Pelotas birth cohort. Am J Public Health (2010) 0.83
Ecological momentary assessment of environmental and personal factors and snack food intake in African American women. Appetite (2014) 0.83
Association between being African-American, serum urate levels and the risk of developing hyperuricemia: findings from the Coronary Artery Risk Development in Young Adults cohort. Arthritis Res Ther (2012) 0.83
Use of a urinary sugars biomarker to assess measurement error in self-reported sugars intake in the nutrition and physical activity assessment study (NPAAS). Cancer Epidemiol Biomarkers Prev (2014) 0.83
En Balance participants decrease dietary fat and cholesterol intake as part of a culturally sensitive Hispanic diabetes education program. Diabetes Educ (2011) 0.83
Impact of individual and worksite environmental factors on water and sugar-sweetened beverage consumption among overweight employees. Prev Chronic Dis (2014) 0.82
Demographic characteristics and food choices of participants in the Special Diabetes Program for American Indians Diabetes Prevention Demonstration Project. Ethn Health (2014) 0.82
Endocrine impact of Helicobacter pylori: focus on ghrelin and ghrelin o-acyltransferase. World J Gastroenterol (2011) 0.82
New insights on the risk for cardiovascular disease in African Americans: the role of added sugars. J Am Soc Nephrol (2014) 0.81
Sugar Sweetened Beverage Consumption among Adults with Gout or Type 2 Diabetes. PLoS One (2015) 0.80
Healthy Eating Strategies in the Workplace. Int J Workplace Health Manag (2010) 0.80
Risk factors for incident hyperuricemia during mid-adulthood in African American and white men and women enrolled in the ARIC cohort study. BMC Musculoskelet Disord (2013) 0.79
Sociodemographic and Behavioral Factors Associated with Added Sugars Intake among US Adults. J Acad Nutr Diet (2016) 0.77
Association between commercial and traditional sugar-sweetened beverages and measures of adiposity in Costa Rica. Public Health Nutr (2012) 0.77
A review of total & added sugar intakes and dietary sources in Europe. Nutr J (2017) 0.75
Dietary and economic effects of eliminating shortfall in fruit intake on nutrient intakes and diet cost. BMC Pediatr (2016) 0.75
Developmental Programming: Priming Disease Susceptibility for Subsequent Generations. Curr Epidemiol Rep (2015) 0.75
Independent association between socioeconomic indicators and macro- and micro-nutrient intake in Switzerland. PLoS One (2017) 0.75
Social inequalities in children's oral health-related quality of life: the Generation R Study. Qual Life Res (2017) 0.75
Irritable Bowel Syndrome: Clinical Manifestations, Dietary Influences, and Management. Healthcare (Basel) (2017) 0.75
Dietary reference intakes for energy, carbohydrate, fiber, fat, fatty acids, cholesterol, protein and amino acids. J Am Diet Assoc (2002) 22.00
Intake of sugar-sweetened beverages and weight gain: a systematic review. Am J Clin Nutr (2006) 13.19
Poverty and obesity: the role of energy density and energy costs. Am J Clin Nutr (2004) 11.11
Environmental influences on eating and physical activity. Annu Rev Public Health (2001) 8.96
Socioeconomic status and obesity. Epidemiol Rev (2007) 8.08
The economics of obesity: dietary energy density and energy cost. Am J Clin Nutr (2005) 5.37
The sweetening of the world's diet. Obes Res (2003) 2.94
Sources of food group intakes among the US population, 2001-2002. J Am Diet Assoc (2008) 2.83
Does food group consumption vary by differences in socioeconomic, demographic, and lifestyle factors in young adults? The Bogalusa Heart Study. J Am Diet Assoc (2007) 1.99
Low-cost diets: more energy, fewer nutrients. Eur J Clin Nutr (2006) 1.74
The real contribution of added sugars and fats to obesity. Epidemiol Rev (2007) 1.70
Dietary pattern change and acculturation of Chinese Americans in Pennsylvania. J Am Diet Assoc (2004) 1.64
Self-reported sugar-sweetened beverage intake among college students. Obesity (Silver Spring) (2006) 1.39
Intake of nutrients and food sources of nutrients among the Navajo: findings from the Navajo Health and Nutrition Survey. J Nutr (1997) 1.25
Chronic diseases and dietary changes in relation to Korean Americans' length of residence in the United States. J Am Diet Assoc (2007) 1.22
Lack of findings for the association between obesity risk and usual sugar-sweetened beverage consumption in adults--a primary analysis of databases of CSFII-1989-1991, CSFII-1994-1998, NHANES III, and combined NHANES 1999-2002. Food Chem Toxicol (2007) 1.12
Dietary intakes and health-related behaviours of Korean American women born in the USA and Korea: the Multiethnic Cohort Study. Public Health Nutr (2005) 1.11
Relationship of diet to root caries. Am J Clin Nutr (1995) 0.92
Diet and physical activity patterns of urban American Indian women. Am J Health Promot (1999) 0.91
Intake of nutrients related to cardiovascular disease risk among three groups of American Indians: the Strong Heart Dietary Study. Prev Med (1997) 0.88
Nutrition and oral health guidelines for pregnant women, infants, and children. J Am Diet Assoc (1998) 0.86
Sugar intake and dental caries. Br Dent J (1992) 0.85
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
Trends in cancer risk among people with AIDS in the United States 1980-2002. AIDS (2006) 7.08
Statistical methods for estimating usual intake of nutrients and foods: a review of the theory. J Am Diet Assoc (2006) 6.26
Cancer risk in people infected with human immunodeficiency virus in the United States. Int J Cancer (2008) 6.13
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
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
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
Reported drop in mammography : is this cause for concern? Cancer (2007) 2.91
A comparison of two dietary instruments for evaluating the fat-breast cancer relationship. Int J Epidemiol (2006) 2.65
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
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
Dealing with dietary measurement error in nutritional cohort studies. J Natl Cancer Inst (2011) 2.43
Bias in dietary-report instruments and its implications for nutritional epidemiology. Public Health Nutr (2002) 2.37
Confirmation of family cancer history reported in a population-based survey. J Natl Cancer Inst (2011) 2.13
Data and trends in cancer screening in the United States: results from the 2005 National Health Interview Survey. Cancer (2010) 2.05
Trends in esophageal adenocarcinoma incidence and mortality. Cancer (2012) 2.03
Adjustments to improve the estimation of usual dietary intake distributions in the population. J Nutr (2004) 1.84
Parental cancer and the family: a population-based estimate of the number of US cancer survivors residing with their minor children. Cancer (2010) 1.83
Breast and cervical cancer screening rates of subgroups of Asian American women in California. Med Care Res Rev (2007) 1.79
Use of tamoxifen and raloxifene for breast cancer chemoprevention in 2010. Breast Cancer Res Treat (2012) 1.66
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
The National Cancer Institute diet history questionnaire: validation of pyramid food servings. Am J Epidemiol (2005) 1.57
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
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
Are physicians' recommendations for colorectal cancer screening guideline-consistent? J Gen Intern Med (2010) 1.44
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
Economic burden of cancer survivorship among adults in the United States. J Clin Oncol (2013) 1.41
Fruit and vegetable intake and risk of cancer: a prospective cohort study. Am J Clin Nutr (2008) 1.35
Correspondence of the NCI Fruit and Vegetable Screener to repeat 24-H recalls and serum carotenoids in behavioral intervention trials. J Nutr (2008) 1.34
A new method for dealing with measurement error in explanatory variables of regression models. Biometrics (2004) 1.30
Dietary intake estimates in the National Health Interview Survey, 2000: methodology, results, and interpretation. J Am Diet Assoc (2005) 1.29
A NEW MULTIVARIATE MEASUREMENT ERROR MODEL WITH ZERO-INFLATED DIETARY DATA, AND ITS APPLICATION TO DIETARY ASSESSMENT. Ann Appl Stat (2011) 1.28
Population prevalence of familial cancer and common hereditary cancer syndromes. The 2005 California Health Interview Survey. Genet Med (2010) 1.26
A population's distribution of Healthy Eating Index-2005 component scores can be estimated when more than one 24-hour recall is available. J Nutr (2010) 1.26
Cancer risk in elderly persons with HIV/AIDS. J Acquir Immune Defic Syndr (2004) 1.24
Use of lung cancer screening tests in the United States: results from the 2010 National Health Interview Survey. Cancer Epidemiol Biomarkers Prev (2012) 1.22
Impact of geography on mammography use in California. Cancer Causes Control (2009) 1.21
Evaluation of a short dietary assessment instrument for percentage energy from fat in an intervention study. J Nutr (2008) 1.20
Fitting a bivariate measurement error model for episodically consumed dietary components. Int J Biostat (2011) 1.17
Earlier presentation and application of curative treatments in hepatocellular carcinoma. Hepatology (2014) 1.15
A comparison of regression calibration, moment reconstruction and imputation for adjusting for covariate measurement error in regression. Stat Med (2008) 1.15
Seemingly unrelated measurement error models, with application to nutritional epidemiology. Biometrics (2006) 1.14
Use of the predictive sugars biomarker to evaluate self-reported total sugars intake in the Observing Protein and Energy Nutrition (OPEN) study. Cancer Epidemiol Biomarkers Prev (2011) 1.09
Increased risk of early-stage breast cancer related to consumption of sweet foods among women less than age 45 in the United States. Cancer Causes Control (2002) 1.05
Differences in fruit and vegetable intake among Hispanic subgroups in California: results from the 2005 California Health Interview Survey. J Am Diet Assoc (2009) 1.02
Health limitations and quality of life associated with cancer and other chronic diseases by phase of care. Med Care (2007) 1.01
Performance of a short percentage energy from fat tool in measuring change in dietary intervention studies. J Nutr (2008) 1.00
Using regression calibration equations that combine self-reported intake and biomarker measures to obtain unbiased estimates and more powerful tests of dietary associations. Am J Epidemiol (2011) 0.96
Correlates of unrealistic risk beliefs in a nationally representative sample. J Behav Med (2010) 0.95
Cancer screening practices among racially and ethnically diverse breast cancer survivors: results from the 2001 and 2003 California health interview survey. J Cancer Surviv (2009) 0.92
Patterns of care in a population-based sample of soft tissue sarcoma patients in the United States. Cancer (2009) 0.91
Targeted screening of individuals at high risk for pancreatic cancer: results of a simulation model. Radiology (2014) 0.88
Strength of the relationships between three self-reported dietary intake instruments and serum carotenoids: the Observing Energy and Protein Nutrition (OPEN) Study. Public Health Nutr (2012) 0.88
Risk of germ cell tumors among men with HIV/acquired immunodeficiency syndrome. Cancer Epidemiol Biomarkers Prev (2007) 0.87
Reactivity and its association with body mass index across days on food checklists. J Acad Nutr Diet (2012) 0.84
Journal club: How radiation exposure histories influence physician imaging decisions: a multicenter radiologist survey study. AJR Am J Roentgenol (2013) 0.83
Adjusting for reporting delay in cancer incidence when combining different sets of cancer registries. Biom J (2013) 0.83
Was the drop in mammography rates in 2005 associated with the drop in hormone therapy use? Cancer (2011) 0.83
Re: "Application of a repeat-measure biomarker measurement error model to 2 validation studies: examination of the effect of within-person variation in biomarker measurements". Am J Epidemiol (2011) 0.83
Spatial patterns of localized-stage prostate cancer incidence among white and black men in the southeastern United States, 1999-2001. Cancer Epidemiol Biomarkers Prev (2010) 0.82
Trends in research on energy balance supported by the National Cancer Institute. Am J Prev Med (2013) 0.81
Application of a New Statistical Model for Measurement Error to the Evaluation of Dietary Self-report Instruments. Epidemiology (2015) 0.79
Early Pancreatic Ductal Adenocarcinoma Survival Is Dependent on Size: Positive Implications for Future Targeted Screening. Pancreas (2016) 0.76
Intake_epis_food(): An R Function for Fitting a Bivariate Nonlinear Measurement Error Model to Estimate Usual and Energy Intake for Episodically Consumed Foods. J Stat Softw (2012) 0.76
Regression calibration with more surrogates than mismeasured variables. Stat Med (2012) 0.75
Performance and Feasibility of Recalls Completed Using the Automated Self-Administered 24-Hour Dietary Assessment Tool in Relation to Other Self-Report Tools and Biomarkers in the Interactive Diet and Activity Tracking in AARP (IDATA) Study. J Acad Nutr Diet (2020) 0.75
Targeted Screening of Individuals at High Risk for Pancreatic Cancer: Results of a Simulation Model. Radiology (2016) 0.75
The MCH navigator: tools for MCH workforce development and lifelong learning. Matern Child Health J (2015) 0.75