The Automated Self-Administered 24-Hour Dietary Recall (ASA24): A Resource for Researchers, Clinicians, and Educators from the National Cancer Institute

Association between Water Intake, Chronic Kidney Disease, and Cardiovascular Disease: A Cross-Sectional Analysis of NHANES Data

Sontrop, J. M., Dixon, S. N., Garg, A. X., Jiménez, I. B., Dohein, O., Huang, S. S., & Clark, W. F. (2013) · American Journal of Nephrology · doi:10.1159/000350377 · Cited by 5,903

National Center for Health Statistics (NCHS)

Feinleib, M. (2005) · Encyclopedia of Biostatistics · doi:10.1002/0470011815.b2a16042 · Cited by 3,134

The US Department of Agriculture Automated Multiple-Pass Method reduces bias in the collection of energy intakes

Moshfegh, A. J., Rhodes, D. G., Baer, D. J., Murayi, T., Clemens, J. C., Rumpler, W. V., Paul, D. R., Sebastian, R. S., Kuczynski, K. J., Ingwersen, L. A., et al. (2008) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/88.2.324 · Cited by 1,988

Structure of Dietary Measurement Error: Results of the OPEN Biomarker Study

Kipnis, V. (2003) · American Journal of Epidemiology · doi:10.1093/aje/kwg091 · Cited by 875

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

Schatzkin, A. G., Kipnis, V., Carroll, R. J., Midthune, D., Subar, A. F., Bingham, S. A., Schoeller, D. A., Troiano, R. P., & Freedman, L. S. (2003) · International Journal of Epidemiology · doi:10.1093/ije/dyg264 · Cited by 423

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

Subar, A. F., Crafts, J., Zimmerman, T. P., Wilson, M., Mittl, B., Islam, N. G., McNutt, S., Potischman, N., Buday, R., Hull, S. G., et al. (2010) · Journal of the American Dietetic Association · doi:10.1016/j.jada.2009.10.007 · Cited by 224

Formative Research of a Quick List for an Automated Self-Administered 24-Hour Dietary Recall

Subar, A. F., Thompson, F. E., Potischman, N. A., Forsyth, B., Buday, R., Richards, D., McNutt, S., Hull, S. G., Guenther, P. M., Schatzkin, A. G., et al. (2007) · Journal of the American Dietetic Association · doi:10.1016/j.jada.2007.03.007 · Cited by 142

Challenges in converting an interviewer-administered food probe database to self-administration in the National Cancer Institute automated self-administered 24-hour recall (ASA24)

Zimmerman, T. P., Hull, S. G., McNutt, S., Mittl, B., Islam, N. G., Guenther, P. M., Thompson, F. E., Potischman, N. A., & Subar, A. F. (2009) · Journal of Food Composition and Analysis · doi:10.1016/j.jfca.2009.02.003 · Cited by 110

Children’s accuracy of portion size estimation using digital food images: effects of interface design and size of image on computer screen

Baranowski, T., Baranowski, J. C., Watson, K. B., Martin, S. J., Beltran, A., Islam, N. G., Dadabhoy, H., Adame, S.-H., Cullen, K. W., Thompson, D. I., et al. (2010) · Public Health Nutrition · doi:10.1017/s1368980010002193 · Cited by 44

Tests of the Accuracy and Speed of Categorizing Foods into Child vs Professional Categories Using Two Methods of Browsing with Children

Baranowski, T., Beltran, A., Martin, S. J., Watson, K. B., Islam, N. G., Robertson, S., Berno, S., Dadabhoy, H., Thompson, D. I., Cullen, K. W., et al. (2009) · Journal of the American Dietetic Association · doi:10.1016/j.jada.2009.10.006 · Cited by 20

Iterative Development of an Innovative Smartphone-Based Dietary Assessment Tool: Traqq

Lucassen, D. A., Brouwer-Brolsma, E. M., van de Wiel, A. M., Siebelink, E., & Feskens, E. J. M. (2021) · Journal of Visualized Experiments · doi:10.3791/62032-v · Cited by 19

The theory of planned behavior and dietary behaviors in competitive women bodybuilders

Haubenstricker, J. E., Lee, J. W., Segovia‐Siapco, G., & Medina, E. (2023) · BMC Public Health · doi:10.1186/s12889-023-16568-w · Cited by 19

The association between chrononutrition behaviors and muscle health among older adults: The study of muscle, mobility and aging

Mao, Z., Cawthon, P. M., Kritchevsky, S. B., Toledo, F. G. S., Esser, K. A., Erickson, M. L., Newman, A. B., & Farsijani, S. (2023) · Aging Cell · doi:10.1111/acel.14059 · Cited by 22

Development and Feasibility of a Web-based Program ‘Diet Evaluation System (DES)’ in Urban and Community Nutrition Survey in Korea

Jung, H. J., Lee, S. E., Kim, D. W., Noh, H., Song, S., Kang, M., Song, Y., & Paik, H. Y. (2013) · Korean Journal of Health Promotion · Cited by 19

Reaching rural veterans: a new mechanism to connect rural, low-income US Veterans with resources and improve food security

Wright, B. N., Wadsworth, S. M., Wellnitz, A., & Eicher‐Miller, H. A. (2018) · Journal of Public Health · doi:10.1093/pubmed/fdy203 · Cited by 22

Examining Associations Between Dietary Inflammatory Index in Pregnancy, Pro-inflammatory Cytokine and Chemokine Levels at Birth, and Offspring Asthma and/or Wheeze by Age 4 Years

Venter, C., Palumbo, M. P., Sauder, K. A., Glueck, D. H., Starling, A. P., Ringham, B. M., O’Mahony, L., Moore, B. F., Yang, I. V., & Dabelea, D. (2021) · Journal of the Academy of Nutrition and Dietetics · doi:10.1016/j.jand.2021.02.015 · Cited by 19

Accuracy of energy and nutrient intake estimation versus observed intake using 4 technology-assisted dietary assessment methods: a randomized crossover feeding study

Whitton, C., Collins, C. E., Mullan, B. A., Rollo, M. E., Dhaliwal, S. S., Norman, R., Boushey, C. J., Delp, E. J., Zhu, F. M., McCaffrey, T. A., et al. (2024) · American Journal of Clinical Nutrition · doi:10.1016/j.ajcnut.2024.04.030 · Cited by 22

A bilingual dietary intervention early in treatment is feasible and prevents weight gain in childhood acute lymphoblastic leukemia

Walters, M., Mowbray, C., Jubelirer, T. F., Jacobs, S. S., Kelly, K. M., Smith, K., Yao, Y., Jin, Z., & Ladas, E. J. (2021) · Pediatric Blood & Cancer · doi:10.1002/pbc.28910 · Cited by 18

Association of Night-Time Screen-Viewing with Adolescents’ Diet, Sleep, Weight Status, and Adiposity

Kracht, C. L., Wilburn, J. G., Broyles, S. T., Katzmarzyk, P. T., & Staiano, A. E. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19020954 · Cited by 18

Parenting Styles and Their Associations With Children's Body Composition, Activity Patterns, Fitness, Diet, Health, and Academic Achievement

Watson, A., Dumuid, D., Maher, C. A., Fraysse, F., Mauch, C. E., Tomkinson, G. R., Ferguson, T., & Olds, T. (2022) · Childhood Obesity · doi:10.1089/chi.2022.0054 · Cited by 26

Does Partial Meal Replacement During Pregnancy Reduce 12‐Month Postpartum Weight Retention?

Phelan, S., Wing, R. R., Brannen, A., McHugh, A., Hagobian, T. A., Schaffner, A. A., Jelalian, E., Hart, C. N., Scholl, T. O., Muñoz‐Christian, K., et al. (2018) · Obesity · doi:10.1002/oby.22361 · Cited by 18

Evaluation of a 24-Hour Caffeine Intake Assessment Compared with Urinary Biomarkers of Caffeine Intake among Young Adults in Canada

Vanderlee, L., Reid, J. L., White, C. M., Acton, R. B., Kirkpatrick, S. I., Pao, C., Rybak, M. E., & Hammond, D. G. (2018) · Journal of the Academy of Nutrition and Dietetics · doi:10.1016/j.jand.2018.07.016 · Cited by 18

Use of Online Dietary Recalls among Older UK Adults: A Feasibility Study of an Online Dietary Assessment Tool

Ward, H. A., McLellan, H., Udeh‐Momoh, C. T., Giannakopoulou, P., Robb, C. E., Wark, P. A., & Middleton, L. T. (2019) · Nutrients · doi:10.3390/nu11071451 · Cited by 18

Maternal Diet Quality Is Associated with Placental Proteins in the Placental Insulin/Growth Factor, Environmental Stress, Inflammation, and mTOR Signaling Pathways: The Healthy Start ECHO Cohort

Francis, E. C., Dabelea, D., Boyle, K. E., Jansson, T., & Perng, W. (2021) · Journal of Nutrition · doi:10.1093/jn/nxab403 · Cited by 19

A Web-Based Graphical Food Frequency Assessment System: Design, Development and Usability Metrics

Franco, R. Z., Alawadhi, B., Fallaize, R., Lovegrove, J. A., & Hwang, F. (2017) · JMIR Human Factors · doi:10.2196/humanfactors.7287 · Cited by 17

DietSensor: Automatic Dietary Intake Measurement Using Mobile 3D Scanning Sensor for Diabetic Patients

Makhsous, S., Bharadwaj, M., Atkinson, B. E., Novosselov, I. V., & Mamishev, A. V. (2020) · Sensors · doi:10.3390/s20123380 · Cited by 19

Effect of a Mediterranean diet intervention on gastrointestinal function in Parkinson’s disease (the MEDI-PD study): study protocol for a randomised controlled trial

Rusch, C. T., Beke, M., Tucciarone, L., Dixon, K., Nieves, C., Mai, V., Stiep, T., Tholanikunnel, T., Ramirez‐Zamora, A., Hess, C. W., et al. (2021) · BMJ Open · doi:10.1136/bmjopen-2021-053336 · Cited by 19

Accuracy and Cost-effectiveness of Technology-Assisted Dietary Assessment Comparing the Automated Self-administered Dietary Assessment Tool, Intake24, and an Image-Assisted Mobile Food Record 24-Hour Recall Relative to Observed Intake: Protocol for a Randomized Crossover Feeding Study

Whitton, C., Healy, J. D., Collins, C. E., Mullan, B. A., Rollo, M. E., Dhaliwal, S. S., Norman, R., Boushey, C. J., Delp, E. J., Zhu, F. M., et al. (2021) · JMIR Research Protocols · doi:10.2196/32891 · Cited by 21

Use of an mHealth Ketogenic Diet App Intervention and User Behaviors Associated With Weight Loss in Adults With Overweight or Obesity: Secondary Analysis of a Randomized Clinical Trial

Falkenhain, K., Locke, S., Lowe, D. A., Lee, T., Singer, J., Weiss, E. J., & Little, J. P. (2022) · JMIR mhealth and uhealth · doi:10.2196/33940 · Cited by 18

Eating Patterns during Pregnancy and Postpartum and Their Association with Diet Quality and Energy Intake

Schwedhelm, C., Lipsky, L. M., Temmen, C. D., & Nansel, T. R. (2022) · Nutrients · doi:10.3390/nu14061167 · Cited by 23

Association between Sleep, Sedentary Time, Physical Activity, and Adiposity in Adolescents: A Prospective Observational Study

Kracht, C. L., Katzmarzyk, P. T., Champagne, C. M., Broyles, S. T., Hsia, D. S., Newton, R. L., & Staiano, A. E. (2022) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0000000000003018 · Cited by 19

Rationale and study protocol for a randomized controlled feeding study to determine the structural- and functional-level effects of diet-specific interventions on the gut microbiota of non-Hispanic black and white adults

Carson, T. L., Buro, A. W., Miller, D. R., Pena, A. L., Ard, J. D., Lampe, J. W., Yi, N., Lefkowitz, E. J., William, V. D. P., Morrow, C. D., et al. (2022) · Contemporary Clinical Trials · doi:10.1016/j.cct.2022.106968 · Cited by 18

Airborne levels of cadmium are correlated with urinary cadmium concentrations among young children living in the New York state city of Syracuse, USA

Hill, D., Jandev, V., Petroni, M., Atallah‐Yunes, N., Bendinskas, K. G., Brann, L. S., Heffernan, K. S., Larsen, D. A., MacKenzie, J. A., Palmer, C. D., et al. (2023) · Environmental Research · doi:10.1016/j.envres.2023.115450 · Cited by 18

Maternal Diet Quality During Pregnancy and Offspring Hepatic Fat in Early Childhood: The Healthy Start Study

Cohen, C. C., Perng, W., Sauder, K. A., Shapiro, A. L. B., Starling, A. P., Friedman, C., Felix, J. F., Küpers, L. K., Moore, B. F., Hébert, J. R., et al. (2023) · Journal of Nutrition · doi:10.1016/j.tjnut.2023.01.039 · Cited by 22

Proinflammatory Dietary Intake Relates to Pain Sensitivity in Chronic Nonspecific Low Back Pain: A Case-Control Study

Elma, Ö., Yılmaz, S. T., Nijs, J., Clarys, P., Coppieters, I., Mertens, E., Deliens, T., & Malfliet, A. (2023) · Journal of Pain · doi:10.1016/j.jpain.2023.08.015 · Cited by 21

Ketone monoester attenuates declines in cognitive performance and oxygen saturation during acute severe hypoxic exposure under resting conditions

McClure, T. S., Phillips, J., Koutnik, A. P., Coleman, K., Chappe, E., Cutter, G., Egan, B., Norell, T., Stubbs, B. J., Bamman, M. M., et al. (2024) · Experimental Physiology · doi:10.1113/ep091794 · Cited by 17

Research Strategies for Nutritional and Physical Activity Epidemiology and Cancer Prevention

Mahabir, S., Willett, W. C., Friedenreich, C. M., Lai, G. Y., Boushey, C. J., Matthews, C. E., Sinha, R. R., Colditz, G. A., Rothwell, J. A., Reedy, J., et al. (2017) · Cancer Epidemiology Biomarkers & Prevention · doi:10.1158/1055-9965.epi-17-0509 · Cited by 17

Effects of High-Intensity Resistance Training on Circulating Levels of Irisin in Healthy Adults: A Randomized Controlled Trial

Fernández-del-Valle, M., Short, M. J., Chung, E., McComb, J. J. R., Kloiber, S. D., Naclerio, F., & Larumbe‐Zabala, E. (2018) · Asian Journal of Sports Medicine · doi:10.5812/asjsm.13025 · Cited by 17

Effect of Bang® Pre-Workout Master Blaster® combined with four weeks of resistance training on lean body mass, maximal strength, mircoRNA expression, and serum IGF-1 in men: a randomized, double-blind, placebo-controlled trial

Schwarz, N. A., McKinley-Barnard, S. K., & Blahnik, Z. J. (2019) · Journal of the International Society of Sports Nutrition · doi:10.1186/s12970-019-0310-y · Cited by 17

Impact of a farmers’ market nutrition coupon programme on diet quality and psychosocial well-being among low-income adults: protocol for a randomised controlled trial and a longitudinal qualitative investigation

Aktary, M. L., Caron-Roy, S., Sajobi, T. T., O'Hara, H., Leblanc, P., Dunn, S., McCormack, G. R., Timmins, D., Ball, K., Downs, S., et al. (2020) · BMJ Open · doi:10.1136/bmjopen-2019-035143 · Cited by 21

Adherence to Dietary and Physical Activity Guidelines in Australian Undergraduate Biomedical Students and Associations with Body Composition and Metabolic Health: A Cross-Sectional Study

Gallo, L. A., Gallo, T. F., Young, S. L., Fotheringham, A. K., Barclay, J. L., Walker, J. L., Moritz, K. M., & Akison, L. K. (2021) · Nutrients · doi:10.3390/nu13103500 · Cited by 17

Dietary Nutrient Intake in School-Aged Children With Heavy Prenatal Alcohol Exposure

Nguyen, T. T., Risbud, R. D., Chambers, C., & Thomas, J. D. (2016) · Alcoholism Clinical and Experimental Research · doi:10.1111/acer.13035 · Cited by 17

Project SHINE: effects of a randomized family-based health promotion program on the physical activity of African American parents

George, S. M. S., Wilson, D. K., & Horn, M. L. V. (2018) · Journal of Behavioral Medicine · doi:10.1007/s10865-018-9926-7 · Cited by 19

Does stress attenuate motivation for healthful eating in pregnancy and postpartum?

Mooney, J. T., Lipsky, L. M., Liu, A., & Nansel, T. R. (2021) · Appetite · doi:10.1016/j.appet.2021.105207 · Cited by 16

Rationalisation of the UK Nutrient Databank for Incorporation in a Web-Based Dietary Recall for Implementation in the UK National Diet and Nutrition Survey Rolling Programme

Amoutzopoulos, B., Steer, T. E., Roberts, C., Collins, D., Trigg, K., Barratt, R., Abraham, S., Cole, D. J., Mulligan, A. A., Foreman, J., et al. (2022) · Nutrients · doi:10.3390/nu14214551 · Cited by 16

The Canadian Food Intake Screener for assessing alignment of adults’ dietary intake with the 2019 Canada’s Food Guide healthy food choices recommendations: scoring system and construct validity

Hutchinson, J. M., Dodd, K. W., Guenther, P. M., Lamarche, B., Haines, J., Wallace, A., Perreault, M., Williams, T. E., Louzada, M. L. D. C., Jessri, M., et al. (2023) · Applied Physiology Nutrition and Metabolism · doi:10.1139/apnm-2023-0018 · Cited by 16

Trajectory of Cardiovascular Health Across Childhood and Adolescence

Aris, I. M., Rifas‐Shiman, S. L., Perng, W., Yi, L., de Ferranti, S. D., Hivert, M., & Oken, E. (2024) · JAMA Cardiology · doi:10.1001/jamacardio.2024.4022 · Cited by 19

Calibration of the Brief Food Frequency Questionnaire Among Patients on Dialysis

Delgado, C., Ward, P., Chertow, G. M., Storer, L. A., Dalrymple, L. S., Block, T. J., Kaysen, G. A., Kornak, J., Grimes, B. A., Kutner, N. G., et al. (2014) · Journal of Renal Nutrition · doi:10.1053/j.jrn.2013.12.004 · Cited by 16

‘I could have made those changes years earlier’: experiences and characteristics associated with receiving a prediabetes diagnosis among individuals recently diagnosed with type 2 diabetes

Somerville, M., Burch, E., Ball, L., & Williams, L. T. (2019) · Family Practice · doi:10.1093/fampra/cmz081 · Cited by 16

Diet quality of elementary and middle school teachers is associated with healthier nutrition-related classroom practices

Parker, E. A. D., Feinberg, T., Lane, H., Deitch, R., Zemanick, A., Saksvig, B. I., Turner, L. R., & Hager, E. R. (2020) · Preventive Medicine Reports · doi:10.1016/j.pmedr.2020.101087 · Cited by 16

Effects of a diet based on the Dietary Guidelines on vascular health and TMAO in women with cardiometabolic risk factors

Krishnan, S., Gertz, E., Adams, S. H., Newman, J. W. I., Pedersen, T. L., Keim, N. L., & Bennett, B. J. (2021) · Nutrition Metabolism and Cardiovascular Diseases · doi:10.1016/j.numecd.2021.09.013 · Cited by 16

Assessing impacts of redeveloping public housing communities on obesity in low-income minority residents: Rationale, study design, and baseline data from the Watts Neighborhood Health Study

Datar, A., Shier, V., Braboy, A., Jimenez-Ortiz, M., Hernández, A., King, S. E., & Liu, Y. (2021) · Contemporary Clinical Trials Communications · doi:10.1016/j.conctc.2021.100879 · Cited by 17

Health Literacy, Numeracy, and Health Promotion: A Secondary Analysis of the Choosewell 365 Workplace Trial

Jia, J., Levy, D. E., McCurley, J. L., Anderson, E. M., Gelsomin, E. D., Porneala, B., & Thorndike, A. N. (2022) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2021.12.020 · Cited by 16

Cord Blood Vitamin D Levels and Early Childhood Blood Pressure: The Healthy Start Study

Sauder, K. A., Stamatoiu, A. V., Leshchinskaya, E., Ringham, B. M., Glueck, D. H., & Dabelea, D. (2019) · Journal of the American Heart Association · doi:10.1161/jaha.118.011485 · Cited by 16

Increasing Dietary Carbohydrate as Part of a Healthy Whole Food Diet Intervention Dampens Eight Week Changes in Salivary Cortisol and Cortisol Responsiveness

Soltani, H., Keim, N. L., & Laugero, K. D. (2019) · Nutrients · doi:10.3390/nu11112563 · Cited by 16

Nutritional imbalances among university students and the urgent need for educational and nutritional interventions

Torres, K., Cáceres-Durán, M. Á., Orellana, C., Osorio, M. A. J. A., & Simón, L. (2025) · Frontiers in Nutrition · doi:10.3389/fnut.2025.1551130 · Cited by 15

Integrated Patient Digital and Biomimetic Twins for Precision Medicine: A Perspective

Miedel, M. T., Schurdak, M. E., Stern, A. M., Soto–Gutiérrez, A., Strobl, E. V., Behari, J., & Taylor, D. L. (2025) · Seminars in Liver Disease · doi:10.1055/a-2649-1560 · Cited by 20

Automated Self-Administered 24-H Dietary Assessment Tool (ASA24) recalls for parent proxy-reporting of children’s intake (> 4 years of age): a feasibility study

Sharpe, I., Kirkpatrick, S. I., Smith, B. T., Keown‐Stoneman, C. D. G., Omand, J. A., Vanderhout, S. M., Maguire, J. L., Birken, C. S., & Anderson, L. N. (2021) · Pilot and Feasibility Studies · doi:10.1186/s40814-021-00864-6 · Cited by 15

Using food network analysis to understand meal patterns in pregnant women with high and low diet quality

Schwedhelm, C., Lipsky, L. M., Shearrer, G. E., Betts, G. M., Liu, A., Iqbal, K., Faith, M. S., & Nansel, T. R. (2021) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/s12966-021-01172-1 · Cited by 15

Healthy food prescription incentive programme for adults with type 2 diabetes who are experiencing food insecurity: protocol for a randomised controlled trial, modelling and implementation studies

Olstad, D. L., Beall, R. F., Spackman, E., Dunn, S., Lipscombe, L. L., Williams, K., Oster, R. T., Scott, S., Zimmermann, G. L., McBrien, K., et al. (2022) · BMJ Open · doi:10.1136/bmjopen-2021-050006 · Cited by 17

Evaluation of the Chrononutrition Profile – Questionnaire in an online community sample of adults

Veronda, A. C., & Irish, L. A. (2022) · Eating Behaviors · doi:10.1016/j.eatbeh.2022.101633 · Cited by 16

A case–control study of the association between the gut microbiota and colorectal cancer: exploring the roles of diet, stress, and race

Carson, T. L., Byrd, D. A., Smith, K. S., Carter, D., Gómez, M. F. L., Abaskaron, M., Little, R. B., Townsend, S., Pol, W. J. V. D., Lefkowitz, E. J., et al. (2024) · Gut Pathogens · doi:10.1186/s13099-024-00608-w · Cited by 18

Enhanced brain myelination and cognitive development in young children associated with milk fat globule membrane (MFGM) intake: a temporal cohort study

Deoni, S., Beauchemin, J., D’Sa, V. A., Bonham, K., & Klepac‐Ceraj, V. (2025) · Brain Structure and Function · doi:10.1007/s00429-025-02907-7 · Cited by 15

Association of work-related and leisure-time physical activity with workplace food purchases, dietary quality, and health of hospital employees

Feig, E. H., Levy, D. E., McCurley, J. L., Rimm, E. B., Anderson, E. M., Gelsomin, E. D., & Thorndike, A. N. (2019) · BMC Public Health · doi:10.1186/s12889-019-7944-1 · Cited by 19

A Pilot Study of a Culturally Tailored Lifestyle Intervention for Chinese American Cancer Survivors

Deng, F., Chen, D., Swartz, M. C., & Sun, H. Y. (2019) · Cancer Control · doi:10.1177/1073274819895489 · Cited by 15

Pre- and Perinatal Correlates of Ideal Cardiovascular Health during Early Childhood: A Prospective Analysis in the Healthy Start Study

Perng, W., Francis, E. C., Schuldt, C., Barbosa, G. R., Dabelea, D., & Sauder, K. A. (2021) · The Journal of Pediatrics · doi:10.1016/j.jpeds.2021.03.014 · Cited by 16

The Nourish Protocol: A digital health randomized controlled trial to promote the DASH eating pattern among adults with hypertension

Miller, H., Berger, M. B., Askew, S., Kay, M. C., Hopkins, C. M., Iragavarapu, M. S., de Leon, M., Freed, M., Barnes, C. N., Yang, Q., et al. (2021) · Contemporary Clinical Trials · doi:10.1016/j.cct.2021.106539 · Cited by 18

Effectiveness, Cost-effectiveness, and Cost-Utility of a Digital Smoking Cessation Intervention for Cancer Survivors: Health Economic Evaluation and Outcomes of a Pragmatic Randomized Controlled Trial

Mujcic, A., Blankers, M., Boon, B. J. F., Leeuw, I. M. V., Smit, F., van Laar, M., & Engels, R. C. M. E. (2022) · Journal of Medical Internet Research · doi:10.2196/27588 · Cited by 15

Exploring Important Influences on the Healthfulness of Prostate Cancer Survivors’ Diets

Coa, K. I., Smith, K. C., Klassen, A. C., Thorpe, R. J., & Caulfield, L. E. (2015) · Qualitative Health Research · doi:10.1177/1049732315580108 · Cited by 15

Influencing nutritional habits of college students using a food pantry

Clerkin, K., Pohl, C. J., Shupe, E., & Kim, M. J. (2020) · Journal of American College Health · doi:10.1080/07448481.2020.1721506 · Cited by 15

Maternal and Cord Blood Metabolite Associations with Gestational Weight Gain and Pregnancy Health Outcomes

Shearer, J., Klein, M. S., Vogel, H. J., Mohammad, S., Bainbridge, S. A., & Adamo, K. B. (2021) · Journal of Proteome Research · doi:10.1021/acs.jproteome.0c00854 · Cited by 16

Administering a combination of online dietary assessment tools, the Automated Self-Administered 24-Hour Dietary Assessment Tool, and Diet History Questionnaire II, in a cohort of adults in Alberta's Tomorrow Project

Solbak, N. M., Robson, P. J., Siou, G. L., Rajabi, A. A., Paek, S., Vena, J. E., & Kirkpatrick, S. I. (2021) · Journal of the Academy of Nutrition and Dietetics · doi:10.1016/j.jand.2021.01.014 · Cited by 15

Assessment of beverage intake and hydration status.

Nissensohn, M., López-Ufano, M., Castro‐Quezada, I., & Serra‐Majem, L. (2015) · PubMed · doi:10.3305/nh.2015.31.sup3.8753 · Cited by 15

Exercise-induced changes to the fiber type-specific redox state in human skeletal muscle are associated with aerobic capacity

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Protein and Exercise to Reverse Frailty in Older Men and Women Undergoing Transcatheter Aortic Valve Replacement: Design of the PERFORM-TAVR Trial

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Development and Relative Validity of the Chronic Kidney Disease Short Food Frequency Questionnaire (CKD SFFQ) to Determine Diet Quality and Dietary Habits among Adults with Chronic Kidney Disease

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Using enhanced regression calibration to combine dietary intake estimates from 24 h recall and FFQ reduces bias in diet–disease associations

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Comparison of diet quality of US adults based on primary motivation for following a vegetarian diet: A cross-sectional online study

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The Design and Development of a Food Composition Database for an Electronic Tool to Assess Food Intake in New Caledonian Families

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Psychological and behavioral pathways between perceived stress and weight change in a behavioral weight loss intervention

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Fat-Free Mass and Total Daily Energy Expenditure Estimated Using Doubly Labeled Water Predict Energy Intake in a Large Sample of Community-Dwelling Older Adults

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Effects of a behavioral intervention on physical activity, diet, and health-related quality of life in pregnant women with elevated weight: results of the HIPP randomized controlled trial

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Feasibility, Acceptability, and Initial Efficacy of a Digital Intervention to Improve Consumption of Foods Received within a National Nutrition Assistance Program

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Associations Between Changes in Activity and Dietary Behaviors after Metabolic and Bariatric Surgery

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Lifestyle-Related Determinants of Obesity Among Omani Children

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Dose–Response Effect of Consuming Commercially Available Eggs on Wintertime Serum 25-Hydroxyvitamin D Concentrations in Young Australian Adults: a 12-Week Randomized Controlled Trial

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Traditional versus developmental measures of weight suppression: Exploring their relationships with bulimic psychopathology

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The National Cancer Institute's automated self‐administered 24‐hour dietary recall (ASA24)

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

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Validity of the National Cancer Institute's Automated Self‐ Administered 24‐hour Recall (ASA24): Results of a Feeding Study

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