F. Thompson

发表

Psychosocial predictors of energy underreporting in a large doubly labeled water study.

R. Troiano, A. Schatzkin, V. Kipnis, 2004, The American journal of clinical nutrition.

F. Thompson, T. Byers, T. Byers, 1994, The Journal of nutrition.

Formative research of a quick list for an automated self-administered 24-hour dietary recall.

T. Baranowski, A. Schatzkin, A. Subar, 2007, Journal of the American Dietetic Association.

Challenges in converting an interviewer-administered food probe database to self-administration in the National Cancer Institute Automated Self-administered 24-Hour Recall (ASA24).

A. Subar, F. Thompson, N. Potischman, 2009, Journal of food composition and analysis : an official publication of the United Nations University, International Network of Food Data Systems.

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.

Jennifer L. Crafts, T. Baranowski, A. Subar, 2010, Journal of the American Dietetic Association.

The Automated Self-Administered 24-hour dietary recall (ASA24): a resource for researchers, clinicians, and educators from the National Cancer Institute.

T. Baranowski, S. Kirkpatrick, A. Subar, 2012, Journal of the Academy of Nutrition and Dietetics.

Performance of the Automated Self-Administered 24-hour Recall relative to a measure of true intakes and to an interviewer-administered 24-h recall.

K. Dodd, S. George, S. Kirkpatrick, 2014, The American journal of clinical nutrition.

Comparative validation of the Block, Willett, and National Cancer Institute food frequency questionnaires : the Eating at America's Table Study.

D. Midthune, V. Kipnis, A. Subar, 2001, American journal of epidemiology.

"Eat for Health": a supermarket intervention for nutrition and cancer risk reduction.

B. H. Patterson, F. Thompson, N. Breen, 1994, American journal of public health.

Measures of overall diet quality from a food frequency questionnaire: National Health Interview Survey, 1992

F. Thompson, A. Kant, 1997 .

Use of signal detection methodology to identify subgroups of dietary supplement use in diverse populations.

Audie A Atienza, A. Atienza, D. Toobert, 2008, The Journal of nutrition.

Comparison of recruitment and retention among demographic subgroups in a large diverse population study of diet

Gwen L. Alexander, S. George, S. Kirkpatrick, 2017, Contemporary clinical trials communications.

Design and serendipity in establishing a large cohort with wide dietary intake distributions : the National Institutes of Health-American Association of Retired Persons Diet and Health Study.

A F Subar, L S Freedman, D. Midthune, 2001, American journal of epidemiology.

Dietary Intakes of Preschool-Aged Children in Relation to Caregivers’ Race/Ethnicity, Acculturation, and Demographic Characteristics: Results from the 2007 California Health Interview Survey

D. Berrigan, R. Moser, L. Nebeling, 2012, Maternal and Child Health Journal.

Racial and Ethnic Differences in Dietary Intake, Physical Activity, and Body Mass Index (BMI) Among Cancer Survivors: 2005 and 2010 National Health Interview Surveys (NHIS)

D. Berrigan, F. Thompson, Doratha A. Byrd, 2017, Journal of Racial and Ethnic Health Disparities.

Variability in percent energy from fat throughout the day: Implications for application of total diet goals

B. Graubard, F. Thompson, R. Ballard-Barbash, 1994 .

Carotenoid and tocopherol estimates from the NCI diet history questionnaire are valid compared with multiple recalls and serum biomarkers.

Amy F Subar, L. Wideroff, A. Subar, 2006, The Journal of nutrition.

Dietary intake and cardiovascular risk factors, Part II. Serum urate, serum cholesterol, and correlates.

J. R. Landis, F. Thompson, W. Harlan, 1983, Vital and health statistics. Series 11, Data from the National Health Survey.

Blood pressure and nutrition in adults. The National Health and Nutrition Examination Survey.

J. R. Landis, F. Thompson, R. Schmouder, 1984, American journal of epidemiology.

Taking advantage of the strengths of 2 different dietary assessment instruments to improve intake estimates for nutritional epidemiology.

R. Carroll, D. Midthune, V. Kipnis, 2012, American journal of epidemiology.

Registerof dietaryassessment calibration-validation studies:a statusreportâ€2

W. Willett, L. Freedman, F. Thompson, 1997 .

Reproducibility of reports of frequency of food use in the Tecumseh Diet Methodology Study.

F. Thompson, D. E. Lamphiear, H. Metzner, 1987, American journal of epidemiology.

Correspondence of the NCI Fruit and Vegetable Screener to repeat 24-H recalls and serum carotenoids in behavioral intervention trials.

D. Midthune, D. Toobert, L. Nebeling, 2008, The Journal of nutrition.

Dietary Assessment Methods , within the Context of Multiple Behavioral Change Interventions in Adult Populations Correspondence of the NCI Fruit and Vegetable Screener to Repeat 24H Recalls and Serum Carotenoids in Behavioral Intervention Trials 1 , 2

D. Midthune, D. Toobert, L. Nebeling, 2007 .

Interrelationships of added sugars intake, socioeconomic status, and race/ethnicity in adults in the United States: National Health Interview Survey, 2005.

D. Midthune, F. Thompson, Meredith A Morrissette, 2009, Journal of the American Dietetic Association.

Counting calories: partitioning energy intake estimates from a food frequency questionnaire.

K. Flegal, K. Guire, F. Thompson, 1988, American journal of epidemiology.

Fruit and vegetable intakes and the risk of colorectal cancer in the Breast Cancer Detection Demonstration Project follow-up cohort 1 – 3

A. Schatzkin, R. Troisi, A. Subar, 2002 .

Differences in fruit and vegetable intake among Hispanic subgroups in California: results from the 2005 California Health Interview Survey.

A. Atienza, K. Dodd, R. Moser, 2009, Journal of the American Dietetic Association.

Evaluation of three short dietary instruments to assess fruit and vegetable intake: the National Cancer Institute's food attitudes and behaviors survey.

L. Nebeling, A. Yaroch, J. Tooze, 2012, Journal of the Academy of Nutrition and Dietetics.

Original Contribution Fruit and Vegetable Intakes and Risk of Colorectal Cancer in the NIH–AARP Diet and Health Study

A. Schatzkin, V. Kipnis, A. Subar, 2007 .

Percentage of Youth Meeting Federal Fruit and Vegetable Intake Recommendations, Youth Risk Behavior Surveillance System, United States and 33 States, 2013.

F. Thompson, L. Moore, Z. Demissie, 2017, Journal of the Academy of Nutrition and Dietetics.

Fruit and vegetable intakes and the risk of colorectal cancer in the Breast Cancer Detection Demonstration Project follow-up cohort.

A. Schatzkin, R. Troisi, A. Subar, 2002, The American journal of clinical nutrition.

High blood pressure in older Americans. The First National Health and Nutrition Examination Survey.

J. R. Landis, F. Thompson, R. Schmouder, 1984, Hypertension.

Dietary assessment in food environment research: a systematic review.

K. Dodd, S. Kirkpatrick, A. Subar, 2014, American journal of preventive medicine.

Development and calibration of a dietary nitrate and nitrite database in the NIH–AARP Diet and Health Study

R. Sinha, A. Subar, F. Thompson, 2015, Public Health Nutrition.

Baseline design elements and sample characteristics for seven sites participating in the Nutrition Working Group of the Behavior Change Consortium.

H. Mcgregor, D. Toobert, L. Nebeling, 2008, The Journal of nutrition.

The National Cancer Institute's Dietary Assessment Primer: A Resource for Diet Research.

S. Kirkpatrick, Magdalena M. Wilson, A. Subar, 2015, Journal of the Academy of Nutrition and Dietetics.

Characteristics of American women aged 19 through 50 years consuming a lower fat diet

F. Thompson, E. Frongillo, M. Sowers, 1992 .

Dietary fiber and whole-grain consumption in relation to colorectal cancer in the NIH-AARP Diet and Health Study.

A. Schatzkin, V. Kipnis, A. Subar, 2007, The American journal of clinical nutrition.

Dietary sources of fats and cholesterol in US children aged 2 through 5 years.

F. Thompson, B. Dennison, 1994, American journal of public health.

Development and Evaluation of the National Cancer Institute's Dietary Screener Questionnaire Scoring Algorithms.

D. Midthune, K. Dodd, F. Thompson, 2017, The Journal of nutrition.

Milk fat and gastrointestinal illness.

A. Monto, J. Koopman, F. Thompson, 1984, American journal of public health.

Subar et al. Respond to “A Further Look at Dietary Questionnaire Validation” and “Another Perspective on Food Frequency Questionnaires”

V. Kipnis, A. Subar, F. Thompson, 2001 .

Abandon neither the Food Frequency Questionnaire nor the Dietary Fat-Breast Cancer Hypothesis

A. Schatzkin, V. Kipnis, L. Freedman, 2007, Cancer Epidemiology, Biomarkers and Prevention.

Correspondence between perceptions of change in diet and 15-year change in diet reports in the Tecumseh Diet Methodology Study.

F. Thompson, D. E. Lamphiear, H. Metzner, 1988, Nutrition and cancer.

Sociodemographic and Behavioral Factors Associated with Added Sugars Intake among US Adults.

D. Galuska, L. Mcguire, F. Thompson, 2016, Journal of the Academy of Nutrition and Dietetics.

Breastfeeding Duration Is Associated With Child Diet at 6 Years

D. Galuska, F. Thompson, C. Perrine, 2014, Pediatrics.

Development and Evaluation of the National Cancer Institute (cid:1) s Dietary Screener Questionnaire Scoring Algorithms 1–3

D. Midthune, K. Dodd, F. Thompson, 2017 .

Abstract 029: The Automated Self-Administered 24-Hour Dietary Recall (ASA24): A Research Resource from the National Cancer Institute (NCI)

T. Baranowski, S. Kirkpatrick, A. Subar, 2012 .

Observational Epidemiologic Studies of Nutrition and Cancer: The Next Generation (with Better Observation)

A. Schatzkin, V. Kipnis, A. Subar, 2009, Cancer Epidemiology Biomarkers & Prevention.

Adults Meeting Fruit and Vegetable Intake Recommendations — United States, 2013

Frances E. Thompson, F. Thompson, L. Moore, 2015, MMWR. Morbidity and mortality weekly report.

Using Behavioral Risk Factor Surveillance System Data to Estimate the Percentage of the Population Meeting US Department of Agriculture Food Patterns Fruit and Vegetable Intake Recommendations.

K. Dodd, F. Thompson, L. Moore, 2015, American journal of epidemiology.

Performance of a short tool to assess dietary intakes of fruits and vegetables, percentage energy from fat and fibre

D. Midthune, A. Schatzkin, V. Kipnis, 2004, Public Health Nutrition.

CHAPTER 1 – Dietary Assessment Methodology

Amy F. Subar, Frances E. Thompson, A. Subar, 2001 .

Comparison of self-reported dietary intakes from the Automated Self-Administered 24-h recall, 4-d food records, and food-frequency questionnaires against recovery biomarkers.

D. Midthune, D. Schoeller, R. Troiano, 2018, The American journal of clinical nutrition.

Comparison of Interviewer-Administered and Automated Self-Administered 24-Hour Dietary Recalls in 3 Diverse Integrated Health Systems.

Gwen L. Alexander, K. Dodd, S. Kirkpatrick, 2015, American journal of epidemiology.

Performance of a food-frequency questionnaire in the US NIH–AARP (National Institutes of Health–American Association of Retired Persons) Diet and Health Study

R. Carroll, D. Midthune, A. Schatzkin, 2008, Public Health Nutrition.

A Cohort Study of Adolescent and Midlife Diet and Pancreatic Cancer Risk in the NIH-AARP Diet and Health Study

A. Subar, F. Thompson, R. Stolzenberg-Solomon, 2017, American journal of epidemiology.

Diet and dental health, a study of relationships: United States, 1971-74.

K. Guire, F. Thompson, B. Burt, 1982, Vital and health statistics. Series 11, Data from the National Health Survey.

Adolescent and mid-life diet: risk of colorectal cancer in the NIH-AARP Diet and Health Study.

B. Graubard, A. Subar, F. Thompson, 2011, The American journal of clinical nutrition.

Is shorter always better? Relative importance of questionnaire length and cognitive ease on response rates and data quality for two dietary questionnaires.

A F Subar, J L Weissfeld, R. Hayes, 2001, American journal of epidemiology.

Strength of the relationships between three self-reported dietary intake instruments and serum carotenoids: the Observing Energy and Protein Nutrition (OPEN) Study

D. Midthune, D. Berrigan, A. Schatzkin, 2012, Public Health Nutrition.

The meaning of ‘fruits’ and ‘vegetables’

A. Yaroch, F. Thompson, G. Willis, 2011, Public Health Nutrition.

A prospective study of meat and fat intake in relation to small intestinal cancer.

A. Schatzkin, A. Subar, F. Thompson, 2008, Cancer research.

Meat and Meat-Mutagen Intake and Pancreatic Cancer Risk in the NIH-AARP Cohort

R. Sinha, D. Silverman, A. Schatzkin, 2007, Cancer Epidemiology Biomarkers & Prevention.

Dietary Assessment Methodology

Amy F. Subar, Frances E. Thompson, A. Subar, 2017 .

Fruit and vegetable intakes and risk of colorectal cancer in the NIH-AARP diet and health study.

Victor Kipnis, Yikyung Park, Amy F Subar, 2007, American journal of epidemiology.

History of diabetes mellitus and subsequent prostate cancer risk in the NIH-AARP Diet and Health Study

Karla A. Lawson, A. Schatzkin, V. Kipnis, 2007, Cancer Causes & Control.

Dietary fatty acids and pancreatic cancer in the NIH-AARP diet and health study.

D. Silverman, A. Schatzkin, A. Subar, 2009, Journal of the National Cancer Institute.

Dietary Fat intake and Breast Cancer Risk in the NIH-AARP Diet and Health Study

P. Rosenberg, A. Schatzkin, V. Kipnis, 2006 .

Characteristics of individuals and long term reproducibility of dietary reports: the Tecumseh Diet Methodology Study.

F. Thompson, D. E. Lamphiear, H. Metzner, 1990, Journal of clinical epidemiology.

Dietary intake estimates in the National Health Interview Survey, 2000: methodology, results, and interpretation.

D. Midthune, D. Berrigan, V. Kipnis, 2005, Journal of the American Dietetic Association.

Dietary fat and postmenopausal invasive breast cancer in the National Institutes of Health-AARP Diet and Health Study cohort.

Victor Kipnis, Philip S Rosenberg, Amy F Subar, 2007, Journal of the National Cancer Institute.

Dietary vitamin A and lung cancer: results of a case-control study among chemical workers.

F. Thompson, G. Bond, R. Cook, 1987, Nutrition and cancer.

Performance of a short percentage energy from fat tool in measuring change in dietary intervention studies.

J. Hardin, D. Midthune, D. Toobert, 2008, The Journal of nutrition.

Evaluation of a short dietary assessment instrument for percentage energy from fat in an intervention study.

D. Midthune, D. Toobert, L. Nebeling, 2008, The Journal of nutrition.

A comparison of two dietary instruments for evaluating the fat-breast cancer relationship.

R. Carroll, D. Midthune, R. Prentice, 2006, International journal of epidemiology.

Comparison of two dietary questionnaires validated against multiple dietary records collected during a 1-year period.

G Block, G. Block, K. Guire, 1992, Journal of the American Dietetic Association.

Contribution of dieting to the inverse association between energy intake and body mass index.

A. Schatzkin, F. Thompson, R. Ballard-Barbash, 1996, European journal of clinical nutrition.

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

Laurence S Freedman, Carol Boushey, Amy F Subar, 2015, The Journal of nutrition.

Reactivity and its association with body mass index across days on food checklists.

D. Midthune, K. Dodd, S. Kirkpatrick, 2012, Journal of the Academy of Nutrition and Dietetics.

Within month variability in use of soup kitchens in New York State. p4.

G. Casella, F. Thompson, E. Frongillo, 1988, American journal of public health.

Social desirability trait influences on self-reported dietary measures among diverse participants in a multicenter multiple risk factor trial.

D. Midthune, L. Nebeling, A. Yaroch, 2008, The Journal of nutrition.

Accuracy and Precision of Two Short Screeners to Assess Change in Fruit and Vegetable Consumption among Diverse Populations Participating in Health Promotion

South S. Carolina, J. Hardin, D. Toobert, 2008 .

Accuracy and precision of two short screeners to assess change in fruit and vegetable consumption among diverse populations participating in health promotion intervention trials.

J. Hardin, D. Toobert, L. Nebeling, 2008, The Journal of nutrition.

Dietary Assessment Methods , within the Context of Multiple Behavioral Change Interventions in Adult Populations Social Desirability Trait Influences on Self-Reported Dietary Measures among Diverse Participants in a Multicenter Multiple Risk Factor Trial 1 , 2

D. Midthune, L. Nebeling, A. Yaroch, 2007 .

Need for technological innovation in dietary assessment.

Tom Baranowski, Amy F Subar, T. Baranowski, 2010, Journal of the American Dietetic Association.

Contribution Fruit and Vegetable Intakes and Risk of Colorectal Cancer in the NIH – AARP Diet and Health Study

A. Schatzkin, V. Kipnis, A. Subar, 2007 .

Nonvitamin, nonmineral dietary supplements: issues and findings from NHANES III.

A F Subar, A. Subar, F. Thompson, 2000, Journal of the American Dietetic Association.

Fruit and vegetable assessment: performance of 2 new short instruments and a food frequency questionnaire.

D. Midthune, V. Kipnis, A. Subar, 2002, Journal of the American Dietetic Association.

Comparison of the 60- and 100-item NCI-block questionnaires with validation data.

R J Carroll, R. Carroll, S. Iturria, 1999, Nutrition and cancer.

Comparison of estimated nutrient intakes by food frequency and dietary records in adults.

K. Flegal, K. Guire, F. Thompson, 1989, Journal of the American Dietetic Association.

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.

D. Midthune, D. Schoeller, K. Dodd, 2020, Journal of the Academy of Nutrition and Dietetics.

Validating an FFQ for intake of episodically consumed foods: application to the National Institutes of Health–AARP Diet and Health Study

R. Carroll, D. Midthune, A. Schatzkin, 2011, Public Health Nutrition.

Cognitive research enhances accuracy of food frequency questionnaire reports: results of an experimental validation study.

J. Jobe, R. Ziegler, A. Subar, 2002, Journal of the American Dietetic Association.

Improving food frequency questionnaires: a qualitative approach using cognitive interviewing.

A F Subar, A F Smith, J. Jobe, 1995, Journal of the American Dietetic Association.

Sources of fiber and fat in diets of US women aged 19 to 50: implications for nutrition education and policy.

E A Frongillo, F. Thompson, E. Frongillo, 1992, American journal of public health.

Comparison of the NHANES dietary screener questionnaire to the Automated Self-Administered 24-Hour Recall for Children in the Healthy Communities Study

C. Loria, F. Thompson, L. Ritchie, 2018, Nutrition Journal.

Evaluation of alternative approaches to assign nutrient values to food groups in food frequency questionnaires.

A F Subar, M Kulldorff, M. Kulldorff, 2000, American journal of epidemiology.

Comparing Reported Dietary Supplement Intakes between Two 24-Hour Recall Methods: The Automated Self-Administered 24-Hour Dietary Assessment Tool and the Interview-Administered Automated Multiple Pass Method.

Gwen L. Alexander, K. Dodd, S. Kirkpatrick, 2018, Journal of the Academy of Nutrition and Dietetics.

W C Willett, L S Freedman, W. Willett, 1997, The American journal of clinical nutrition.

Evaluation of 2 brief instruments and a food-frequency questionnaire to estimate daily number of servings of fruit and vegetables.

A F Subar, D. Midthune, A. Schatzkin, 2000, The American journal of clinical nutrition.

The Use of Digital Images in 24-Hour Recalls May Lead to Less Misestimation of Portion Size Compared with Traditional Interviewer-Administered Recalls.

Deirdre Douglass, Kevin W Dodd, Amy F Subar, 2016, The Journal of nutrition.

Development and evaluation of a short instrument to estimate usual dietary intake of percentage energy from fat.

D. Midthune, A. Schatzkin, V. Kipnis, 2007, Journal of the American Dietetic Association.

The National Cancer Institute diet history questionnaire: validation of pyramid food servings.

D. Midthune, V. Kipnis, A. Subar, 2006, American journal of epidemiology.

Weekend-weekday differences in reported dietary intake: The nationwide food consumption survey, 1977–78

Morton B. Brown, F. Thompson, Larkin Fa, 1986 .

The Healthy Communities Study Nutrition Assessments: Child Diet and the School Nutrition Environment.

C. Loria, F. Thompson, P. Crawford, 2015, American journal of preventive medicine.

Dietary fiber and whole-grain consumption in relation to colorectal cancer in the NIH-AARP Diet and Health Study 1 – 5

A. Schatzkin, V. Kipnis, A. Subar, 2007 .

Adolescent and mid‐life diet and subsequent risk of thyroid cancer in the NIH‐AARP diet and health study

F. Thompson, A. Hollenbeck, Yikyung Park, 2015, International journal of cancer.

Comparison of surrogate and subject reports of dietary practices, smoking habits and weight among married couples in the Tecumseh Diet Methodology Study.

V M Hawthorne, F. Thompson, D. E. Lamphiear, 1989, Journal of clinical epidemiology.

The Automated Self‐Administered 24‐hour Dietary Recall (ASA24): publicly available from the National Cancer Institute (NCI)

Jennifer L. Crafts, T. Baranowski, A. Schatzkin, 2009 .

Differences in fruit and vegetable intake among Hispanic subgroups in California: results from the 2005 California Health Interview Survey.

Audie A Atienza, A. Atienza, K. Dodd, 2009, Journal of the American Dietetic Association.

The Effect of Editing Open-Ended Text Responses on Nutrient and Food Group Estimates from the Automated Self-Administered 24-Hour Dietary Recall (ASA24)☆

Thea Palmer Zimmerman, Nancy Potischman, Deirdre Douglass, 2015 .

Taking advantage of the strengths of 2 different dietary assessment instruments to improve intake estimates for nutritional epidemiology.

R. Carroll, D. Midthune, V. Kipnis, 2012, American journal of epidemiology.

Fruit and vegetable intakes and risk of colorectal cancer in the NIH-AARP diet and health study.

A. Schatzkin, V. Kipnis, A. Subar, 2007, American journal of epidemiology.