Low energy reporting may increase in intervention participants enrolled in dietary intervention trials.

[1]  D. Midthune,et al.  Using intake biomarkers to evaluate the extent of dietary misreporting in a large sample of adults: the OPEN study. , 2003, American journal of epidemiology.

[2]  L. Tapsell,et al.  Relative validity of a diet history interview in an intervention trial manipulating dietary fat in the management of Type II diabetes mellitus. , 2003, Preventive medicine.

[3]  M. Livingstone,et al.  Markers of the validity of reported energy intake. , 2003, The Journal of nutrition.

[4]  A. Ciampi,et al.  Evaluation of under- and overreporting of energy intake in the 24-hour diet recalls in the European Prospective Investigation into Cancer and Nutrition (EPIC) , 2002, Public Health Nutrition.

[5]  A. Kant.  Nature of Dietary Reporting by Adults in the Third National Health and Nutrition Examination Survey, 1988–1994 , 2002, Journal of the American College of Nutrition.

[6]  L. Tapsell,et al.  Relative bias in diet history measurements: a quality control technique for dietary intervention trials , 2002, Public Health Nutrition.

[7]  M. Schroll,et al.  Assessment of habitual energy and macronutrient intake in adults: comparison of a seven day food record with a dietary history interview , 2002, European Journal of Clinical Nutrition.

[8]  B E Ainsworth,et al.  Estimation of energy expenditure from physical activity measures: determinants of accuracy. , 2001, Obesity research.

[9]  G. Johansson,et al.  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 , 2001, Public Health Nutrition.

[10]  C. Rock,et al.  Low-energy reporting in women at risk for breast cancer recurrence. Women's Healthy Eating and Living Group. , 2000, Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology.

[11]  AE Black,et al.  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 , 2000, International Journal of Obesity.

[12]  C. Ritenbaugh,et al.  A qualitative study of participants' experiences with dietary assessment. , 2000, Journal of the American Dietetic Association.

[13]  D. Matthews,et al.  In-person vs telephone-administered multiple-pass 24-hour recalls in women: validation with doubly labeled water. , 2000, Journal of the American Dietetic Association.

[14]  A. Black.  The sensitivity and specificity of the Goldberg cut-off for EI:BMR for identifying diet reports of poor validity , 2000, European Journal of Clinical Nutrition.

[15]  J. Weissfeld,et al.  Lack of effect of a low-fat, high-fiber diet on the recurrence of colorectal adenomas. Polyp Prevention Trial Study Group. , 2000, The New England journal of medicine.

[16]  P. Kris-Etherton,et al.  Accuracy of energy intake data estimated by a multiple-pass, 24-hour dietary recall technique. , 2000, Journal of the American Dietetic Association.

[17]  H Boeing,et al.  Validation of a self-administered food-frequency questionnaire administered in the European Prospective Investigation into Cancer and Nutrition (EPIC) Study: comparison of energy, protein, and macronutrient intakes estimated with the doubly labeled water, urinary nitrogen, and repeated 24-h dietary , 1999, The American journal of clinical nutrition.

[18]  K. Samaras,et al.  Dietary underreporting is prevalent in middleaged British women and is not related to adiposity (percentage body fat) , 1999, International Journal of Obesity.

[19]  C. Ritenbaugh,et al.  The association of energy intake bias with psychological scores of women , 1999, European Journal of Clinical Nutrition.

[20]  K R Westerterp,et al.  Underreporting of habitual food intake is explained by undereating in highly motivated lean women. , 1999, The Journal of nutrition.

[21]  L. Tapsell,et al.  Assessment of a narrative approach to the diet history , 1999, Public Health Nutrition.

[22]  C L Cheney,et al.  The effect of keeping food records on eating patterns. , 1998, Journal of the American Dietetic Association.

[23]  C. Drevon,et al.  Under- and overreporting of energy intake related to weight status and lifestyle in a nationwide sample. , 1998, The American journal of clinical nutrition.

[24]  M C Ocké,et al.  Underreporting of energy, protein and potassium intake in relation to body mass index. , 1998, International journal of epidemiology.

[25]  A. Prentice,et al.  Assessment of selective under-reporting of food intake by both obese and non-obese women in a metabolic facility , 1998, International Journal of Obesity.

[26]  J. Ockene,et al.  Gender differences in social desirability and social approval bias in dietary self-report. , 1997, American journal of epidemiology.

[27]  M. McDowell,et al.  Dietary methods research in the third National Health and Nutrition Examination Survey: underreporting of energy intake. , 1997, The American journal of clinical nutrition.

[28]  I M Buzzard,et al.  Monitoring dietary change in a low-fat diet intervention study: advantages of using 24-hour dietary recalls vs food records. , 1996, Journal of the American Dietetic Association.

[29]  J. Weissfeld,et al.  The polyp prevention trial II: dietary intervention program and participant baseline dietary characteristics. , 1996, Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology.

[30]  A. Schatzkin,et al.  The polyp prevention trial I: rationale, design, recruitment, and baseline participant characteristics. , 1996, Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology.

[31]  N F Boyd,et al.  Comparison of energy intakes determined by food records and doubly labeled water in women participating in a dietary-intervention trial. , 1996, The American journal of clinical nutrition.

[32]  A M Prentice,et al.  Energy expenditure in overweight and obese adults in affluent societies: an analysis of 319 doubly-labelled water measurements. , 1996, European journal of clinical nutrition.

[33]  A. Schatzkin,et al.  Contribution of dieting to the inverse association between energy intake and body mass index. , 1996, European journal of clinical nutrition.

[34]  J. Ockene,et al.  Social desirability bias in dietary self-report may compromise the validity of dietary intake measures. , 1995, International journal of epidemiology.

[35]  M. Goran,et al.  Correlates of over- and underreporting of energy intake in healthy older men and women. , 1994, The American journal of clinical nutrition.

[36]  S A Jebb,et al.  Critical evaluation of energy intake data using fundamental principles of energy physiology: 1. Derivation of cut-off limits to identify under-recording. , 1991, European journal of clinical nutrition.

[37]  S A Jebb,et al.  Critical evaluation of energy intake data using fundamental principles of energy physiology: 2. Evaluating the results of published surveys. , 1991, European journal of clinical nutrition.

[38]  R. Jeffery,et al.  Hypertension prevention trial: do 24-h food records capture usual eating behavior in a dietary change study? , 1990, The American journal of clinical nutrition.

[39]  T J Cole,et al.  Biased over- or under-reporting is characteristic of individuals whether over time or by different assessment methods. , 2001, Journal of the American Dietetic Association.

[40]  A. Goris,et al.  Undereating and underrecording of habitual food intake in obese men: selective underreporting of fat intake. , 2000, The American journal of clinical nutrition.

[41]  T D Koepsell,et al.  Dietary assessment instruments are susceptible to intervention-associated response set bias. , 1998, Journal of the American Dietetic Association.

[42]  J. Stamler,et al.  Method issues in dietary data analyses in the Multiple Risk Factor Intervention Trial. , 1997, The American journal of clinical nutrition.

[43]  R. Briefel.  Assessment of the US diet in national nutrition surveys: national collaborative efforts and NHANES. , 1994, The American journal of clinical nutrition.

[44]  G Block,et al.  Validation of a self-administered diet history questionnaire using multiple diet records. , 1990, Journal of clinical epidemiology.

[45]  Schofield Wn,et al.  Predicting basal metabolic rate, new standards and review of previous work , 1985 .

[46]  Joint Fao,et al.  Energy and protein requirements. Report of a joint FAO/WHO/UNU Expert Consultation. , 1985, World Health Organization technical report series.

[47]  Judith A. Gilbride,et al.  Nutrition Assessment: A Comprehensive Guide for Planning Intervention , 1984 .