Addressing Current Criticism Regarding the Value of Self-Report Dietary Data.

PubWeight™: 1.75‹?› | Rank: Top 3%

🔗 View Article (PMID 26468491)

Published in J Nutr on October 14, 2015

Authors

Amy F Subar1, Laurence S Freedman2, Janet A Tooze3, Sharon I Kirkpatrick4, Carol Boushey5, Marian L Neuhouser6, Frances E Thompson7, Nancy Potischman8, Patricia M Guenther9, Valerie Tarasuk10, Jill Reedy7, Susan M Krebs-Smith7

Author Affiliations

1: Divisions of Cancer Control and Population Sciences and subara@mail.nih.gov.
2: Biostatistics Unit, Gertner Institute for Epidemiology and Health Policy Research, Tel Hashomer, Israel;
3: Wake Forest School of Medicine, Winston-Salem, NC;
4: School of Public Health and Health Systems, University of Waterloo, Waterloo, Ontario, Canada;
5: Cancer Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI;
6: Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA;
7: Divisions of Cancer Control and Population Sciences and.
8: Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD;
9: Department of Nutrition and Integrative Physiology, University of Utah, Salt Lake City, UT; and.
10: Department of Nutritional Sciences, University of Toronto, Toronto, Ontario, Canada.

Articles citing this

Fruit and vegetable consumption in adolescence and early adulthood and risk of breast cancer: population based cohort study. BMJ (2016) 1.11

The connecting health and technology study: a 6-month randomized controlled trial to improve nutrition behaviours using a mobile food record and text messaging support in young adults. Int J Behav Nutr Phys Act (2016) 0.88

Assessment of Nutrient Intakes: Introduction to the Special Issue. Nutrients (2016) 0.83

Comparison of Dietary Intakes Between a Large Online Cohort Study (Etude NutriNet-Santé) and a Nationally Representative Cross-Sectional Study (Etude Nationale Nutrition Santé) in France: Addressing the Issue of Generalizability in E-Epidemiology. Am J Epidemiol (2016) 0.81

Coffee Drinking Is Widespread in the United States, but Usual Intake Varies by Key Demographic and Lifestyle Factors. J Nutr (2016) 0.80

Diet Quality and Its Association with Cardiometabolic Risk Factors Vary by Hispanic and Latino Ethnic Background in the Hispanic Community Health Study/Study of Latinos. J Nutr (2016) 0.80

To what extent do food purchases reflect shoppers' diet quality and nutrient intake? Int J Behav Nutr Phys Act (2017) 0.78

Race-dependent association of sulfidogenic bacteria with colorectal cancer. Gut (2017) 0.77

New markers of dietary added sugar intake. Curr Opin Clin Nutr Metab Care (2016) 0.77

Dietary assessment methods in epidemiological research: current state of the art and future prospects. F1000Res (2017) 0.76

Accuracy of hands v. household measures as portion size estimation aids. J Nutr Sci (2016) 0.76

Fish Consumption, Omega-3 Fatty Acids, and Risk of Cardiovascular Disease. Am J Prev Med (2016) 0.76

Correspondence of folate dietary intake and biomarker data. Am J Clin Nutr (2017) 0.75

Meals Enhancing Nutrition After Discharge: Findings from a Pilot Randomized Controlled Trial. J Acad Nutr Diet (2017) 0.75

Feasibility of Assessing Diet with a Mobile Food  Record for Adolescents and Young Adults with  Down Syndrome. Nutrients (2017) 0.75

Higher dietary flavonoid intakes are associated with lower objectively measured body composition in women: evidence from discordant monozygotic twins. Am J Clin Nutr (2017) 0.75

Self-Report Dietary Assessment Tools Used in Canadian Research: A Scoping Review. Adv Nutr (2017) 0.75

Dietary Patterns of European Children and Their  Parents in Association with Family Food  Environment: Results from the I.Family Study. Nutrients (2017) 0.75

Reply to NV Dhurandhar et al. J Nutr (2016) 0.75

Time Trends and Patterns of Reported Egg Consumption in the U.S. by Sociodemographic Characteristics. Nutrients (2017) 0.75

Reported Energy Intake Accuracy Compared to Doubly Labeled Water and Usability of the Mobile Food Record among Community Dwelling Adults. Nutrients (2017) 0.75

Change in diet in the period from adolescence to early adulthood: a systematic scoping review of longitudinal studies. Int J Behav Nutr Phys Act (2017) 0.75

Beverage Intake and Metabolic Syndrome Risk Over 14 Years: The Study of Women's Health Across the Nation. J Acad Nutr Diet (2016) 0.75

We Agree That Self-Reported Energy Intake Should Not Be Used as a Basis for Conclusions about Energy Intake in Scientific Research. J Nutr (2016) 0.75

Association between Dietary Share of Ultra-Processed Foods and Urinary Concentrations of Phytoestrogens in the US. Nutrients (2017) 0.75

The Comparative Reliability and Feasibility of the Past-Year Canadian Diet History Questionnaire II: Comparison of the Paper and Web Versions. Nutrients (2017) 0.75

Response to Letter Regarding Article, "Southern Dietary Pattern is Associated With Hazard of Acute Coronary Heart Disease in the Reasons for Geographic and Racial Differences in Stroke (REGARDS) Study". Circulation (2016) 0.75

Total Energy Expenditure, Energy Intake, and Body Composition in Endurance Athletes Across the Training Season: A Systematic Review. Sports Med Open (2017) 0.75

Racial or Ethnic and Socioeconomic Inequalities in Adherence to National Dietary Guidance in a Large Cohort of US Pregnant Women. J Acad Nutr Diet (2017) 0.75

Friends and social contexts as unshared environments: A discordant sibling analysis of obesity- and health-related behaviors in young adolescents. Int J Obes (Lond) (2016) 0.75

Influence on Adiposity and Atherogenic Lipaemia of Fatty Meals and Snacks in Daily Life. J Lipids (2017) 0.75

Low Energy Turnover of Physically Inactive Participants as a Determinant of Insufficient Mineral and Vitamin Intake in NHANES. Nutrients (2017) 0.75

On the Accuracy of Self-Report Instruments for Measuring Food Consumption in the School Setting. Adv Nutr (2017) 0.75

Global dietary calcium intake among adults: a systematic review. Osteoporos Int (2017) 0.75

Examining Plausibility of Self-Reported Energy Intake Data: Considerations for Method Selection. Front Nutr (2017) 0.75

Maternal Dietary Patterns during Pregnancy Are Associated with Newborn Body Composition. J Nutr (2017) 0.75

Correlations of Biomarkers and Self-Reported Seafood Consumption among Pregnant and Non-Pregnant Women in Southeastern Louisiana after the Gulf Oil Spill: The GROWH Study. Int J Environ Res Public Health (2017) 0.75

Food Consumption Patterns among U.S. Children from Birth to 23 Months of Age, 2009-2014. Nutrients (2017) 0.75

Articles cited by this

Recommendations for blood pressure measurement in humans and experimental animals: Part 1: blood pressure measurement in humans: a statement for professionals from the Subcommittee of Professional and Public Education of the American Heart Association Council on High Blood Pressure Research. Hypertension (2004) 11.95

Structure of dietary measurement error: results of the OPEN biomarker study. Am J Epidemiol (2003) 8.25

The US Department of Agriculture Automated Multiple-Pass Method reduces bias in the collection of energy intakes. Am J Clin Nutr (2008) 7.79

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

The accuracy of self-reported smoking: a systematic review of the relationship between self-reported and cotinine-assessed smoking status. Nicotine Tob Res (2009) 5.87

Critical evaluation of energy intake data using fundamental principles of energy physiology: 1. Derivation of cut-off limits to identify under-recording. Eur J Clin Nutr (1991) 5.86

Correction of logistic regression relative risk estimates and confidence intervals for systematic within-person measurement error. Stat Med (1989) 5.08

Americans do not meet federal dietary recommendations. J Nutr (2010) 4.94

Update of the Healthy Eating Index: HEI-2010. J Acad Nutr Diet (2013) 4.55

Evaluation of dietary assessment instruments against doubly labeled water, a biomarker of habitual energy intake. Am J Physiol Endocrinol Metab (2001) 4.37

Use of recovery biomarkers to calibrate nutrient consumption self-reports in the Women's Health Initiative. Am J Epidemiol (2008) 4.28

Critical evaluation of energy intake using the Goldberg cut-off for energy intake:basal metabolic rate. A practical guide to its calculation, use and limitations. Int J Obes Relat Metab Disord (2000) 3.95

Sources of variance in 24-hour dietary recall data: implications for nutrition study design and interpretation. Am J Clin Nutr (1979) 3.84

Dietary methods research in the third National Health and Nutrition Examination Survey: underreporting of energy intake. Am J Clin Nutr (1997) 3.75

Regression calibration method for correcting measurement-error bias in nutritional epidemiology. Am J Clin Nutr (1997) 3.68

Retraction of an interpretation. Lancet (2004) 3.55

Energy expenditure by doubly labeled water: validation in humans and proposed calculation. Am J Physiol (1986) 3.35

The validity of self-reported energy intake as determined using the doubly labelled water technique. Br J Nutr (2001) 2.83

A mixed-effects model approach for estimating the distribution of usual intake of nutrients: the NCI method. Stat Med (2010) 2.81

How accurate is self-reported dietary energy intake? Nutr Rev (1990) 2.80

Nutrition standards in the National School Lunch and School Breakfast Programs. Final rule. Fed Regist (2012) 2.78

Validity of U.S. nutritional surveillance:National Health and Nutrition Examination Survey caloric energy intake data, 1971-2010. PLoS One (2013) 2.58

The Inadmissibility of What We Eat in America and NHANES Dietary Data in Nutrition and Obesity Research and the Scientific Formulation of National Dietary Guidelines. Mayo Clin Proc (2015) 2.57

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

Measurement error and results from analytic epidemiology: dietary fat and breast cancer. J Natl Cancer Inst (1996) 2.53

Energy balance measurement: when something is not better than nothing. Int J Obes (Lond) (2014) 2.51

Dealing with dietary measurement error in nutritional cohort studies. J Natl Cancer Inst (2011) 2.43

Implications of a new dietary measurement error model for estimation of relative risk: application to four calibration studies. Am J Epidemiol (1999) 2.40

Bias in dietary-report instruments and its implications for nutritional epidemiology. Public Health Nutr (2002) 2.37

Underreporting of energy intake in repeated 24-hour recalls related to gender, age, weight status, day of interview, educational level, reported food intake, smoking habits and area of living. Public Health Nutr (2001) 2.37

Dietary underreporting by obese individuals--is it specific or non-specific? BMJ (1995) 2.34

Empirical evidence of correlated biases in dietary assessment instruments and its implications. Am J Epidemiol (2001) 2.33

Low energy reporters vs others: a comparison of reported food intakes. Eur J Clin Nutr (2000) 2.23

Critical evaluation of energy intake data using fundamental principles of energy physiology: 2. Evaluating the results of published surveys. Eur J Clin Nutr (1991) 2.17

Psychosocial predictors of energy underreporting in a large doubly labeled water study. Am J Clin Nutr (2004) 2.11

Evaluation and comparison of food records, recalls, and frequencies for energy and protein assessment by using recovery biomarkers. Am J Epidemiol (2011) 2.04

Uses and limitations of statistical accounting for random error correlations, in the validation of dietary questionnaire assessments. Public Health Nutr (2002) 1.94

In-person vs telephone-administered multiple-pass 24-hour recalls in women: validation with doubly labeled water. J Am Diet Assoc (2000) 1.93

Periconceptional supplementation with folate and/or multivitamins for preventing neural tube defects. Cochrane Database Syst Rev (2001) 1.93

Adjustments to improve the estimation of usual dietary intake distributions in the population. J Nutr (2004) 1.84

Does energy intake underreporting involve all kinds of food or only specific food items? Results from the Fleurbaix Laventie Ville Santé (FLVS) study. Int J Obes Relat Metab Disord (2000) 1.78

The impact of dietary measurement error on planning sample size required in a cohort study. Am J Epidemiol (1990) 1.66

Who are the 'low energy reporters' in the dietary and nutritional survey of British adults? Int J Epidemiol (1997) 1.65

Review and evaluation of innovative technologies for measuring diet in nutritional epidemiology. Int J Epidemiol (2012) 1.62

The effect of social desirability trait on self-reported dietary measures among multi-ethnic female health center employees. Ann Epidemiol (2001) 1.60

Performance of the Automated Self-Administered 24-hour Recall relative to a measure of true intakes and to an interviewer-administered 24-h recall. Am J Clin Nutr (2014) 1.58

Implausible results in human nutrition research. BMJ (2013) 1.58

Under- and overreporting of energy is related to obesity, lifestyle factors and food group intakes in Jamaican adults. Public Health Nutr (2004) 1.46

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

The Dietary Patterns Methods Project: synthesis of findings across cohorts and relevance to dietary guidance. J Nutr (2015) 1.41

Understanding nutritional epidemiology and its role in policy. Adv Nutr (2015) 1.37

An overview of issues related to the correction of non-differential exposure measurement error in epidemiologic studies. Stat Med (1989) 1.37

Measurement error in dietary assessment: an investigation using covariance structure models. Part I. Stat Med (1993) 1.30

Selective underreporting of energy intake in women: magnitude, determinants, and effect of training. J Am Diet Assoc (2003) 1.30

Measurement error and its impact on partial correlation and multiple linear regression analyses. Am J Epidemiol (1988) 1.29

Urinary sucrose and fructose as biomarkers for sugar consumption. Cancer Epidemiol Biomarkers Prev (2005) 1.26

Physical activity levels from a meta-analysis of doubly labeled water studies for validating energy intake as measured by dietary assessment. Nutr Rev (1996) 1.22

Considering the value of dietary assessment data in informing nutrition-related health policy. Adv Nutr (2014) 1.20

Measurement error modeling and nutritional epidemiology association analyses. Can J Stat (2011) 1.13

Implausible data, false memories, and the status quo in dietary assessment. Adv Nutr (2015) 1.11

Comparison of Interviewer-Administered and Automated Self-Administered 24-Hour Dietary Recalls in 3 Diverse Integrated Health Systems. Am J Epidemiol (2015) 1.09

Errors in the interpretation of dietary assessments. Am J Clin Nutr (1997) 1.07

Dietary fat and breast cancer: a quantitative assessment of the epidemiological literature and a discussion of methodological issues. Cancer Res (1989) 1.04

Personality characteristics as predictors of underreporting of energy intake on 24-hour dietary recall interviews. J Am Diet Assoc (2003) 1.03

Statistical Aspects of the Use of Biomarkers in Nutritional Epidemiology Research. Stat Biosci (2009) 1.00

Measurement error in dietary assessment: an investigation using covariance structure models. Part II. Stat Med (1993) 0.98

Underreporting of food intake by dietary recall is not universal: a comparison of data from egyptian and american women. J Nutr (2000) 0.96

Effect of measurement error on energy-adjustment models in nutritional epidemiology. Am J Epidemiol (1997) 0.92

Regression calibration in nutritional epidemiology: example of fat density and total energy in relationship to postmenopausal breast cancer. Am J Epidemiol (2013) 0.90

Low-energy reporting in women at risk for breast cancer recurrence. Women's Healthy Eating and Living Group. Cancer Epidemiol Biomarkers Prev (2000) 0.88

Validation of doubly labeled water for measuring energy expenditure during parenteral nutrition. Am J Clin Nutr (1986) 0.87

Contribution of dieting to the inverse association between energy intake and body mass index. Eur J Clin Nutr (1996) 0.85

Do flawed data on caloric intake from NHANES present problems for researchers and policy makers? JAMA (2013) 0.84

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

Nutritional epidemiology--there's life in the old dog yet! Cancer Epidemiol Biomarkers Prev (2014) 0.76