Racial differences in misclassification of healthy eating based on food frequency questionnaire and 24-hour dietary recalls

[1]  Chiu-Hsieh Hsu,et al.  Vegetable protein intake is associated with lower gallbladder disease risk: Findings from the Women's Health Initiative prospective cohort. , 2016, Preventive medicine.

[2]  D. Mozaffarian,et al.  Dietary Intake Among US Adults, 1999-2012. , 2016, JAMA.

[3]  Raymond J Carroll,et al.  Statistical issues related to dietary intake as the response variable in intervention trials , 2016, Statistics in medicine.

[4]  J. Cauley,et al.  Dietary Patterns and Fractures in Postmenopausal Women: Results From the Women's Health Initiative. , 2016, JAMA internal medicine.

[5]  J. Manson,et al.  Multiple Healthful Dietary Patterns and Type 2 Diabetes in the Women's Health Initiative. , 2016, American journal of epidemiology.

[6]  E. Brunner,et al.  Comparison of food and nutrient intakes between cohorts of the HAPIEE and Whitehall II studies , 2015, European journal of public health.

[7]  T. Land,et al.  Disparities in Access to Healthy and Unhealthy Foods in Central Massachusetts: Implications for Public Health Policy , 2015, Journal of the American College of Nutrition.

[8]  E. Procter-Gray,et al.  Access to healthy food stores modifies effect of a dietary intervention. , 2015, American journal of preventive medicine.

[9]  Zachariah M. Reagh,et al.  Spatial discrimination deficits as a function of mnemonic interference in aged adults with and without memory impairment , 2014, Hippocampus.

[10]  Ahmad Esmaillzadeh,et al.  A Dish-based Semi-quantitative Food Frequency Questionnaire for Assessment of Dietary Intakes in Epidemiologic Studies in Iran: Design and Development , 2014, International journal of preventive medicine.

[11]  J. Manson,et al.  All-cause, cardiovascular, and cancer mortality rates in postmenopausal white, black, Hispanic, and Asian women with and without diabetes in the United States: the Women's Health Initiative, 1993-2009. , 2013, American journal of epidemiology.

[12]  S. Kirkpatrick,et al.  Update of the Healthy Eating Index: HEI-2010. , 2013, Journal of the Academy of Nutrition and Dietetics.

[13]  Loki Natarajan,et al.  Exact statistical tests for the intersection of independent lists of genes. , 2012, The annals of applied statistics.

[14]  Bette Caan,et al.  Evaluation and comparison of food records, recalls, and frequencies for energy and protein assessment by using recovery biomarkers. , 2011, American journal of epidemiology.

[15]  R. Prentice,et al.  Biomarker-calibrated Energy and Protein Consumption and Cardiovascular Disease Risk Among Postmenopausal Women , 2011, Epidemiology.

[16]  Robert H Lyles,et al.  Sensitivity analysis for misclassification in logistic regression via likelihood methods and predictive value weighting , 2010, Statistics in medicine.

[17]  I. Ockene,et al.  Number of 24-hour diet recalls needed to estimate energy intake. , 2009, Annals of epidemiology.

[18]  P. Dubbert,et al.  Validity and calibration of food frequency questionnaires used with African-American adults in the Jackson Heart Study. , 2009, Journal of the American Dietetic Association.

[19]  R. Prentice,et al.  Biomarker-calibrated energy and protein consumption and increased cancer risk among postmenopausal women. , 2009, American journal of epidemiology.

[20]  M. Rosal,et al.  Underreporting of energy intake and associated factors in a Latino population at risk of developing type 2 diabetes. , 2008, Journal of the American Dietetic Association.

[21]  Pamela A Shaw,et al.  Use of recovery biomarkers to calibrate nutrient consumption self-reports in the Women's Health Initiative. , 2008, American journal of epidemiology.

[22]  W. Willett,et al.  Evaluating adherence to recommended diets in adults: the Alternate Healthy Eating Index , 2006, Public Health Nutrition.

[23]  R. Troiano,et al.  Psychosocial predictors of energy underreporting in a large doubly labeled water study. , 2004, The American journal of clinical nutrition.

[24]  Charles E Matthews,et al.  Systematic errors in middle-aged women's estimates of energy intake: comparing three self-report measures to total energy expenditure from doubly labeled water. , 2002, Annals of epidemiology.

[25]  Toni M. Whited,et al.  TWO-STEP GMM ESTIMATION OF THE ERRORS-IN-VARIABLES MODEL USING HIGH-ORDER MOMENTS , 2002, Econometric Theory.

[26]  D. Becker,et al.  Comparison of food frequency and dietary recall methods in African-American women. , 2001, Journal of the American Dietetic Association.

[27]  A. Field,et al.  The effect of social desirability trait on self-reported dietary measures among multi-ethnic female health center employees. , 2001, Annals of epidemiology.

[28]  Sally F. Schakel,et al.  Maintaining a Nutrient Database in a Changing Marketplace: Keeping Pace with Changing Food Products—A Research Perspective , 2001 .

[29]  A. Kristal,et al.  Measurement characteristics of the Women's Health Initiative food frequency questionnaire. , 1999, Annals of epidemiology.

[30]  A. Kristal,et al.  Associations of race/ethnicity, education, and dietary intervention with the validity and reliability of a food frequency questionnaire: the Women's Health Trial Feasibility Study in Minority Populations. , 1997, American journal of epidemiology.

[31]  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.

[32]  A. Kristal,et al.  Low-fat diet practices of older women: prevalence and implications for dietary assessment. , 1996, Journal of the American Dietetic Association.

[33]  S. Schakel,et al.  Maintenance of a nutrient database for clinical trials. , 1989, Controlled clinical trials.

[34]  P. Lachenbruch Statistical Power Analysis for the Behavioral Sciences (2nd ed.) , 1989 .

[35]  I M Buzzard,et al.  Sources of data for developing and maintaining a nutrient database. , 1988, Journal of the American Dietetic Association.

[36]  Jacob Cohen Statistical Power Analysis for the Behavioral Sciences , 1969, The SAGE Encyclopedia of Research Design.

[37]  Rashelle B Hayes,et al.  Racial differences in eating patterns and food purchasing behaviors among urban older women , 2016, The journal of nutrition, health & aging.

[38]  S. Seino,et al.  Association of dietary variety with body composition and physical function in community-dwelling elderly Japanese , 2015, The journal of nutrition, health & aging.