Dietary assessment methods in epidemiologic studies

Jee-Seon Shim; Kyungwon Oh; Hyeon Chang Kim

doi:10.4178/epih/e2014009

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Review Dietary assessment methods in epidemiologic studies: Jee-Seon Shim¹, Kyungwon Oh², Hyeon Chang Kim^1,3; Epidemiol Health 2014;36:e2014009.
DOI: https://doi.org/10.4178/epih/e2014009
Published online: July 22, 2014

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¹Cardiovascular and Metabolic Diseases Etiology Research Center, Yonsei University College of Medicine, Seoul, Korea

²Division of Health and Nutrition Survey, Korea Centers for Disease Control and Prevention, Osong, Korea

³Department of Preventive Medicine, Yonsei University College of Medicine, Seoul, Korea

Correspondence: Hyeon Chang Kim Department of Preventive Medicine, Yonsei University College of Medicine, Cardiovascular and Metabolic Diseases Etiology Research Center, 50 Yonsei-ro, Seodaemun-gu, Seoul 120-752, Korea Tel: +82-2-2228-1873, Fax: +82-2-392-8133 E-mail: hckim@yuhs.ac

• Received: June 2, 2014 • Accepted: July 22, 2014

This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Abstract
INTRODUCTION
DIETARY ASSESSMENT BY OBJECTIVE OBSERVATION
DIETARY ASSESSMENT BY SUBJECTIVE REPORT
CONCLUSION
ACKNOWLEDGEMENTS
NOTES
REFERENCES

Abstract

Diet is a major lifestyle-related risk factor of various chronic diseases. Dietary intake can be assessed by subjective report and objective observation. Subjective assessment is possible using open-ended surveys such as dietary recalls or records, or using closed-ended surveys including food frequency questionnaires. Each method has inherent strengths and limitations. Continued efforts to improve the accuracy of dietary intake assessment and enhance its feasibility in epidemiological studies have been made. This article reviews common dietary assessment methods and their feasibility in epidemiological studies.
Keywords: Dietary assessment; Food frequency questionnaire; 24-hour dietary recall; Dietary record

INTRODUCTION

Diet is a major lifestyle-related risk factor of a wide range of chronic diseases. Changes in dietary habits have been found to reduce cancer incidence by one-third [1]. Dietary information has been useful in cardiovascular disease risk prediction [2] and consuming a nutrient-dense diet was associated with a low risk of all-cause mortality [3]. Contrary to other lifestyle risk factors (e.g., smoking), dietary exposures are very difficult to measure because all individuals eat foods, even if the amount and the kind of food consumed is various between subjects, and people rarely perceive what they eat and how much they do [4]. Inaccurate dietary assessment may be a serious obstacle of understanding the impact of dietary factors on disease.

Specific biochemical markers have been used as a surrogate to measure the dietary intake of selected nutrients or dietary components in epidemiological studies [5-7]. Previous studies have found these markers to be highly correlated with dietary intake levels, free of a social desirability bias, independent of memory, and not based on subjects' ability to describe the type and quantity of food consumed [8]. Thus, these biochemical markers may provide more accurate measures than dietary intake estimates do. However, a number of biomarkers have been known to provide integrated measures reflecting their absorption and metabolism after consumption, and they are also affected by disease or homeostatic regulation, thus their values cannot be translated into the subject's absolute dietary intake [9]. Moreover, the results based on biomarkers cannot provide dietary recommendations to modify a subject's dietary habit. Thus, direct assessment of dietary intake may be more informative than biomarkers are [8,10].

Among the available dietary assessment methods, the food frequency questionnaire (FFQ) has been widely used in large epidemiological studies since the 1990s. After doubts of their accuracy were raised in the 2000s [11,12], numerous changes to the assessment methods have been made. Some researchers have shifted their focus and concentrated their efforts to improve the feasibility and accuracy of open-ended dietary assessment methods rather than improve the FFQ or further find relevant biomarkers. Other researchers have concentrated their efforts to enhance the accuracy of the FFQ. Assessing dietary exposure accurately with limited resources remains a challenge for researchers. Thus, we aimed to review common methods for dietary assessment and their feasibility in epidemiological studies.

DIETARY ASSESSMENT BY OBJECTIVE OBSERVATION

Table 1 summarizes the available dietary assessment methods, including the methods, collected data, strengths, and limitations considering a conservative approach. Dietary intake can be assessed by objective observation using a duplicate diet approach or food consumption record by a trained research staff. The duplicate diet method collects duplicate samples of a subject's normal diet, and then analyzes it to estimate potential dietary exposures. This method has been mainly used to measure exposure to environmental contaminants such as phthalates and polycyclic aromatic hydrocarbons in foods and beverages [13]. Food consumption record collects dietary information on subjects' food preparation and consumption in their home with the objective observation of skilled field workers. This method is useful in developing countries, especially among those with a low literacy rate or those who prepare a substantial portion of their food at home. In South Korea, the National Nutrition Survey had surveyed households by this direct method to monitor national food consumption from 1969 to 1995 [14]. Well-trained staffs observed and recoded all foods prepared and consumed in the surveyed household for two consecutive days. All data were collected at the household level, thus no information on how foods were consumed by each individual within household or about foods consumed outside the home were collected. Thus, each individual's consumption was indirectly estimated using data on the number, age, and sex of residents in each household sharing the recorded food [15]. With improvement in economic status, increase in eating-out, and advancement in the individual dietary assessment techniques, assessment at the individual level has become widespread in nutritional epidemiological settings.

Subjective dietary assessment methods that assess an individual's intake include the 24-hour dietary recall (24HR), dietary record (DR), dietary history, and FFQ. Data are collected with the help of a trained interviewer or by self-report.
Twenty-four-hour dietary recall and dietary record in a conservative approach: The 24HR and DR are completely open-ended surveys and collect a variety of detailed information about food consumed over a specific period. The 24HR is conducted in an in-depth interview manner and typically requires 20 to 30 minutes to complete a single day recall. Detailed data about food preparation methods, ingredients used in mixed dishes, and the brand name of commercial products may be required according to the research question. The amounts of each food consumed are estimated in reference to a common size container (e.g., bowls, cups, and glasses), standard measuring cups and spoons, a three-dimensional food model, or two-dimensional aids such as photographs. One advantage of the 24HR is that a relatively minimal burden is imposed on respondents. However, an inevitable limitation is that all information depends on the respondents' memory and the skills of a well-trained interviewer to minimize recall bias. Conversely, DR collects data by subjects' self-record at the time the food are eaten, thus minimizes reliance on a subjects' memory. To obtain accurate data, however, respondents must be trained before participating the survey. Therefore, a high level of motivation is required and relatively large burden is passed onto the respondents [4,15].; Both methods have a few common strengths. Both use open-ended questions so that abundant information can be collected and analyzed in various aspects. In addition, both methods can be easily applied to diverse groups with a wide range of eating habits and may be used to estimate the average intake of a certain population. In many countries including South Korea, the 24HR is the most commonly used in national surveys [16], and both methods are also frequently applied to randomized clinical trials and cohort studies [17,18]. However, these methods have limitations when used to study chronic diseases, a major public health concern. One limitation is that both methods are mainly focused on short-term intake, but long-term dietary exposure is especially of interest when investigating chronic diseases. Thus, to measure average intake, multiple 24HRs or DRs are needed. Repeated measurement not only requires a lot of resources and time but survey repetition can also influence a respondents' diet. Previous studies have found some respondents may improve their dietary habits unintentionally through self-reflection. However, some respondents may alter their diet intentionally to avoid a burden on responses or even choose to not report actual intake [4,15]. Another limitation spawns from the open-ended format that requires considerable efforts in the course of data collection, entry, and analyses. Each questionnaire requires careful review by the research staff to ensure that all reported data are included. After initial review, all foods and mixed dishes consumed according to the detailed descriptions of the respondents should be matched and coded with the most appropriate food listed in the food composition database. Moreover, the quantity of food consumed should be converted to its actual weights. When the reported information is changed to the corresponding food code and weight, actual intakes can be calculated. These processes tend to be time-consuming, laborious, and highly expensive to implement.
Twenty-four-hour dietary recall and dietary record with newer technologies: Despite the aforementioned limitations, multiple 24HRs and DRs have inherent strengths in etiologic studies of chronic diseases. First, both methods collect actual intake on specific days. Second, the burden of memory may be less for these methods than that of the FFQ, which requires recall over a long period (e.g., the previous 12 months). Last, usual intake can also be estimated if repeated. Owing to these strengths, innovative technologies focusing on reducing the respondents' burden, improving accuracy, and making multiple self-administrations possible have been recently incorporated to improve their feasibility in epidemiological studies. Recently, several reports have discussed their use and implications in clinical and research settings [19-21].; Although many techniques are still under development, major advances have been made. Interactive computer-based technologies, which were introduced relatively early in dietary assessment method development, aims to be a comprehensive system for data collection, coding, entry, and calculation of intakes. Examples includes the Automated Multiple Pass Method (AMPM) for administering the 24HR in the US National Health and Nutrition Examination Survey [22] and a menu-driven standardized 24HR program (called the EPIC-Soft) in the European Prospective Investigation into Cancer and Nutrition study [23] that allow interviewers to collect, probe, and identify reported intake in a standardized manner, thus improving the accuracy of the data, even if they are used in diverse populations. Having limitations in time, location, and the number of interviewers available for each study, these technologies remain relatively costly for implementation in large-scale epidemiological studies.; Considerably overlapped with the computer-based approach, web-based technologies enable researchers to collect data regardless of a time and a location, assuming internet access is available. Recently the National Cancer Institute in the US. has developed an internet-based technique, called the Automated Self-Administered 24HR that is based on the AMPM approach [24]. This internet-based technique includes an online tutorial, digital images for food identification and portion-size estimation, and various audio files. Thus, those with low literacy can easily complete the survey, and researchers can collect real-time data. Other internet-based technologies designed for face-to-face, standardized interview administration have been developed, such as the Diet Evaluation System (DES) that was developed in South Korea [25].; In addition, mobile phone applications that allow users to enter dietary intake data have been released. Subjects can manually record their diet by choosing corresponding items from a pre-defined list of foods and beverages, and the quantity of food consumed can be recorded by selecting from pre-defined portion sizes [26]. In South Korea, SmartDiet is an application that was developed for dietary management and education, and this application have been evaluated for their effectiveness and feasibility in clinical settings [27]. Multiple functions embedded in a mobile device can be used to collect data. In Japan, the mobile phone application (called Wellnavi) uses the subject's camera and mobile phone card to report everything that was consumed by sending images before and after eating to the study dietitian [28]. In addition, voice recording such as the Spoken Diet Records has been used to collect data [29]. In Australia, Nutricam allows subjects to capture an image of foods and drinks before consumption and verbally describe the items in the image [30]. Then, subjects upload both the image and voice file to a website for analysis [30]. Recently a wearable electronic device that resembles a necklace includes a camera, microphone, and several other sensors has been introduced [31]. This technology uses the video recording to collect dietary information, and the software identifies eating episode and estimates the amount consumed in the video file. Then, final dietary intakes are calculated automatically. This method is likely to minimize the burden of the subjects using objective observation; however, the technology is still in the experiment stage for using in researches.; Most state-of-the-art technologies must give enormous potentials to be adapted as a major dietary assessment tool in various epidemiological studies to the conservative open-ended methods depending on paper and pencil surveys [19,20,24,32,33]. Table 2 summarizes the strengths and limitations of dietary assessment methods with newer techniques. Software development and the required hardware need high costs in the early stage of the research. However, only if they are prepared, DRs and 24HRs with innovative technologies may reduce their costs and resources for organizing study as well as collecting and handling data, improve consistency of data, collect data in real time and calculate dietary intakes automatically, and allow respondents to focus on dietary assessment [20,23,25,32,33]. While the feasibility of multiple 24HRs and DRs in epidemiological studies has considerably improved with the help of these new technologies, there are still some limitations. First, these methods may be difficult to apply to certain populations who are not familiar with innovative technologies or new devices [32]: Training subjects on how to use these technologies and use a computer including accessing the internet is also required [25]. Furthermore, technical problems in data transfer, storage, battery life, and other concerns must be improved [31]. Most importantly, these new methods do not seem to overcome the methodological problems related to self-report. A previous report found that subjects still had difficulties in recalling and reporting their diet, underreported in repeated assessments, and altered food intake when they knew the survey date in advance [19]. For these reasons, open-ended methods with new technologies have not yet been widely implemented as the primary assessment tool in epidemiological studies.
Dietary history: To assess individual long-term dietary intake, Burke [34] developed a dietary history method in 1947. This method requires that subjects complete a 24HR, 3-day food diary, and checklist of foods usually consumed. Highly skilled professionals are required to collect information on the participant's usual diet using an in-depth interview (approximately 90 minutes to complete). Thus, this method is rarely used in epidemiological studies.
Food frequency questionnaire: The FFQ is an advanced form of the checklist in dietary history method, and asks respondents how often and how much food they ate over a specific period [4]. Presenting about 100 to 150 foods, this questionnaire takes 20-30 minutes to complete and can self-administered or collected via interview. This method enables the assessment of long-term dietary intakes in a relatively simple, cost-effective, and time-efficient manner. Thus, various FFQs have been widely employed as a practical instrument since the 1990s [35-37]. FFQs should be developed specifically for each study group and research purposes because diet may be influenced by ethnicity, culture, an individual's preference, economic status, etc. [38]. In South Korea, approximately 20 FFQs have been developed and used in epidemiological studies.; In South Korea, the first FFQ was developed through modification of the FFQs used in Western countries to meet Korean diet characteristics [39]. After, some FFQs were developed following the opinion of experienced dietitians and epidemiologists based on the nutrient contents in Korean food and the results of previous studies [40-42]. Recent FFQs have been developed in a more sophisticated way using actual dietary data collected by the open-ended surveys. Among the various foods consumed by subjects, informative foods are selected according to the extent to which the foods contribute specific nutrients intakes or the extent that the foods explained between-persons variations [43-47]. Then the selected foods are grouped by their nutritional contents or cooking methods, and finally presented in a closed-ended format.; According to the interests of the researchers, FFQs may focus on the intake of specific nutrients [48,49], dietary exposures related to a certain disease [43], or comprehensively assess various nutrients [44,46,47]. In prospective studies, comprehensive assessment is generally recommended because it enables us to assess any dietary components, which were not important at the beginning of a study but might emerge as an important factor later. Comprehensive assessment also enables us to estimate the intakes of various dietary components that might act as a confounder in relation to a key dietary factor and diseases, which allows for statistical adjustment.; According to the way which informative foods present in FFQs, food-based FFQs [16,46,47] such as the Harvard FFQ [50,51] and dish-based FFQs [43-45,52,53] have been developed. Korean and Asian food mainly contains many mixed dishes that are cooked with individual ingredient foods, seasonings, and cooking oils. Thus, food-based FFQs may raise subjects' burden and increase response error, when their subjects do not typically cook their food or are unaware of the ingredients. Moreover, the food-based FFQ [54] tends to underestimate dietary intake more than the dish-based FFQs do [44] because various seasonings (e.g., salt, soy sauce, red pepper paste, soybean paste, etc.) and cooking oils which are highly contributing to the nutrients (e.g., energy, fat, sodium, and β-carotene intake, etc.) intakes are not considered in dietary intake calculations [55,56]. Therefore, the dish-based approach has been recommended as a new strategy to improve dietary assessment in countries with an Asian diet [57-59].; Average consumption frequency can be assessed using open-ended questions [41], but most FFQs collect data across nine possible responses from never to three or more times per day. Various answer choices have been used to improve data quality and reduce the burden on the subjects [60]. For foods eaten seasonally, subjects are typically asked how frequently and over what duration they ate these seasonal foods [42,44,47]. For frequently consumed foods such as coffee, answers are collected directly as an open-ended question in some FFQs [44,61,62].; The utility of questions in FFQs about portion size has been controversial [4]: Some researchers reported that between-person variations in portion size were not important because that variation tends to be smaller than the variation in frequency of consumption [63]. In South Korea, however, data on the portion size of some foods seems to be important, such as cooked rice, because between-person variations might be highly explained by the portion size rather than the frequency [64]. Until now, semi-quantitative FFQs collecting data on the average portion sizes in a closed format have been more widely used in epidemiological studies [39,40,42-49,52,53,61,65-69] than has been the simple FFQs which solely asks about the frequency [16,70] or quantitative FFQs which queries about the amount of food consumption using completely open-ended questions [41], respectively.; FFQs, which use a closed format, should be evaluated for their accuracy before being used as a dietary assessment tool in studies. A correlation coefficients ranging from 0.5 to 0.7 is considered moderate [4]; however, most FFQs from Asian countries including South Korea tend to have correlation coefficients ranging from 0.3 to 0.5 [40-43,61,66,67,71], which is lower than that from Western countries.; Some researchers questioned the value of using FFQs in epidemiological studies [11,12], and this topic continues to be highly debated [57,72-76]. In addition, concentrated efforts to assess usual dietary intakes accurately using FFQs as well as multiple 24HRs or DRs have been made. Newer techniques introduced FFQs that can be optically scanned, perform complex skip algorithms and probe multiple details, and range checks as well as allows for the presentation of pictures of foods for ease in reporting portion sizes. All of these efforts improve the quality of dietary data and enhance our capability to collect complex information.

CONCLUSION

Dietary intake is difficult to measure, and any single method cannot assess dietary exposure perfectly. Nutritional biomarkers are valid for objective estimates of dietary exposures in anthropometric and clinical assessment, while the 24HR, DR, dietary history, and FFQ are subjective estimates. Numerous efforts have made progress in the accuracy of dietary intake assessment methods, thus the feasibility of open-ended methods with various innovative technologies in epidemiological studies has been substantially enhanced. However, new methods needs higher costs than the FFQs, and intrinsic problems related to self-report remain unsolved. Notwithstanding the discussed limitations, FFQs are still widely used as the primary dietary assessment tool in epidemiological studies.

Recently, it has been suggested that a combination of methods, such as the FFQ with DRs (or 24HR) or the FFQ with biomarker levels, be used to obtain more accurate estimates of dietary intakes than that of individual methods. Considerable efforts to improve the accuracy and feasibility of large epidemiological studies are still ongoing.

In summary, dietary assessment methods should be selected with caution and while considering the research objective, hypothesis, design, and available resources.

ACKNOWLEDGEMENTS

This review was supported by a grant of the Korean Health Technology R&D Project, Ministry of Health & Welfare, Republic of Korea (HI13C0715).

NOTES

The authors have no conflicts of interest to declare for this study.

Table 1.

Dietary assessment methods in epidemiological studies

	Duplicate diet approach	Food consumption record	24-Hour dietary recall	Dietary record	Dietary history	Food frequency questionnaire
Methods	Collection of duplicate diet sample and direct analysis	Objective observation by trained staff at the household level	Subjective measure using open-ended questionnaires administered by a trained interviewer	Subjective measure using open-ended, self-administered questionnaires	Subjective measures using open- and closed-ended questionnaires administered by a trained interviewer	Subjective measure using a predefined, self- or interviewer-administered format
Collected date	Actual intake information throughout a specific period	Actual intake information throughout a specific period	Actual intake information over the previous 24 hours	Actual intake information throughout a specific period	Usual intake estimates over a relatively long period	Usual intake estimates over a relatively long period (e.g., 6 months or 1 year)
Strengths	Measurement of dietary exposures possible (e.g., envi ronmental contaminants)	Ease of application among those with low literacy or those who prepare most meals at home	Provides detailed intake data; relatively small respondent burden (literacy not required)	Provides detailed intake data; no interviewer required; no recall bias	Assesses usual dietary intake	Assesses usual dietary intake simply; cost-effective and time-saving; suitable for epidemiological studies
Limitations	Not suitable for large-scale studies	Individual dietary consumption not accurate; Not suitable among those frequently eat outside the home	Possible recall bias; trained interviewer required; possible interviewer bias; expensive and time-consuming; multiple days required to assess usual intake; possible changes to diet if repeated measures	Relatively large respondent burden (literacy and high motivation required, possible under-reporting); expensive and time-consuming; multiple days required to assess usual intake; possible changes to diet if repeated measures	High cost and time-consuming; not suitable for epidemiological studies	Specific to study groups and research aims; uses a closed-ended questionnaire; low accuracy (recall bias); requires accurate evaluation of developed questionnaires

Table 2.

Strengths and limitations of new techniques in dietary assessment

	24-hour dietary recall	Dietary record	Food frequency questionnaire
Required technology	Software, internet, etc.	Software, internet, PDA, mobile phone, application, etc.	Skip algorithms, questions that ask for multiple details, pictures of foods, etc.
Strengths	Standardized data collection possible (reducing interviewer bias); likely reduce time and cost; improve feasibility	Standardized, real-time data collection possible; likely reduce time and cost; improve feasibility	Able to collect complex information and highly accurate data
Limitations	Inherent bias related to self-report	Inherent bias related to self-report; requires participant training on how to use the technology	Measurement errors related to methodology remain

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Dietary Antioxidants and Risk of Parkinson's Disease in the Singapore Chinese Health Study
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The Molar Ratio of Total Branched-chain Amino Acids to Tyrosine Predicts a Digit Symbol Test Abnormality in Cirrhotic Patients
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Relationship between nutrition knowledge, education and other determinants of food intake and lifestyle habits among adolescents from urban and rural secondary schools in Tyrol, Western Austria
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The Effect of 12 Weeks of Different Exercise Training Modalities or Nutritional Guidance on Cardiometabolic Risk Factors, Vascular Parameters, and Physical Fitness in Overweight Adults: Cardiometabolic High-Intensity Interval Training-Resistance Training
Robinson Ramírez-Vélez, Karem Castro-Astudillo, Jorge Enrique Correa-Bautista, Katherine González-Ruíz, Mikel Izquierdo, Antonio García-Hermoso, Cristian Álvarez, Rodrigo Ramírez-Campillo, María Correa-Rodríguez
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Tracking of Maternal Diet from Pregnancy to Postpregnancy: A Systematic Review of Observational Studies
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Protein Intake, Fatigue and Quality of Life in Stable Outpatient Kidney Transplant Recipients
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Identification of Genetic Factors Underlying the Association between Sodium Intake Habits and Hypertension Risk
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Adherence to the Mediterranean diet partially mediates socioeconomic differences in leukocyte LINE-1 methylation: evidence from a cross-sectional study in Italian women
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Critical review of multimorbidity outcome measures suitable for low-income and middle-income country settings: perspectives from the Global Alliance for Chronic Diseases (GACD) researchers
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Associations between Psycho-Hedonic Responses to Sweet and Savoury Tastes with Diet and Body Composition in a Sample of Asian Females
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A Scoping Review of the Operationalization of Fruit and Vegetable Variety
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The Effect of Adherence to the Mediterranean Diet on Late-Life Cognitive Disorders: A Systematic Review
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A Laboratory‐Based Study of the Priming Effects of Food Cues and Stress on Hunger and Food Intake in Individuals with Obesity
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Self-Reported Diet Quality Differentiates Nutrient Intake, Blood Nutrient Status, Mood, and Cognition: Implications for Identifying Nutritional Neurocognitive Risk Factors in Middle Age
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Evaluating Nutrient Intake of Career Firefighters Compared to Military Dietary Reference Intakes
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Comparison of Various Methods to Determine Added Sugars Intake to Assess the Association of Added Sugars Intake and Micronutrient Adequacy
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Estimation of Sodium and Potassium Intake: Current Limitations and Future Perspectives
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A Real-Time Eating Detection System for Capturing Eating Moments and Triggering Ecological Momentary Assessments to Obtain Further Context: System Development and Validation Study
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Validity and Reproducibility of a Culture-Specific Food Frequency Questionnaire in Lebanon
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Relationship between Dispositional Mindfulness, Psychological Health, and Diet Quality among Healthy Midlife Adults
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Healthy Eating and Active Lifestyle After Bowel Cancer (HEAL ABC): feasibility randomised controlled trial protocol
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The Association between Major Dietary Pattern and Low Muscle Mass in Korean Middle-Aged and Elderly Populations: Based on the Korea National Health and Nutrition Examination Survey
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Complex Enterally Tube-Fed Community Patients Display Stable Tolerance, Improved Compliance and Better Achieve Energy and Protein Targets with a High-Energy, High-Protein Peptide-Based Enteral Tube Feed: Results from a Multi-Centre Pilot Study
Benjamin Green, Katy Sorensen, Mary Phillips, Lisa Green, Rachel Watson, Adrienne McCallum, Sarah Brook, Siobhan Oldham, Michelle Barry, Lyndsey Tomlinson, Alice Williams, Sam Crease, Carrie Wills, Rose Talbot, Rourke Thomas, Julie Barker, Annalisa Owen,
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Obesity and Other Nutrition Related Abnormalities in Pre-Dialysis Chronic Kidney Disease (CKD) Participants
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Optimising an FFQ Using a Machine Learning Pipeline to Teach an Efficient Nutrient Intake Predictive Model
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Chronic Musculoskeletal Pain and Nutrition: Where Are We and Where Are We Heading?
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Relative Validity of a Semi-Quantitative Food Frequency Questionnaire for Adolescents
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Dietary patterns, their covariates, and associations with severity of depressive symptoms among university students in Lebanon: a cross-sectional study
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Validation testing of a short food‐group‐based questionnaire to assess dietary risk in preschoolers aged 3–5 years
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PILATES (Physical Activity and Diet Survey): An Italian Self-Administered Questionnaire Evaluating Diet Habits of Gym-Goers. Validation Process
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Assessing dietary intake in accordance with guidelines: Useful correlations with an ingesta-Verbal/Visual Analogue Scale in medical oncology patients
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Plasma concentrations of anserine, carnosine and pi-methylhistidine as biomarkers of habitual meat consumption
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Monthly Variations in Dietary Intake of Women Participating in the Supplemental Nutrition Assistance Program
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Dietary zinc, calcium and nickel are associated with lower childhood blood lead levels
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Environmental Research.2019; 168: 439. CrossRef
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Carbohydrate restriction for glycaemic control in Type 2 diabetes: a systematic review and meta-analysis
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Evaluation of Reliability of the Recomputed Nutrient Intake Data in the National Heart, Lung, and Blood Institute Twin Study
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Identifying sources of measurement error in assessing dietary intakes – Results of a multi-country ring-trial
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Investigating Items to Improve the Validity of the Five-Item Healthy Eating Score Compared with the 2015 Healthy Eating Index in a Military Population
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Evaluation of the Recipe Function in Popular Dietary Smartphone Applications, with Emphasize on Features Relevant for Nutrition Assessment in Large-Scale Studies
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A Novel Mobile Structured Light System in Food 3D Reconstruction and Volume Estimation
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The British Journal of Psychiatry.2019; 214(5): 251. CrossRef
Child assessments of vegetable preferences and cooking self-efficacy show predictive validity with targeted diet quality measures
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Association of Protein Intake in Three Meals with Muscle Mass in Healthy Young Subjects: A Cross-Sectional Study
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Higher Maternal Diet Quality during Pregnancy and Lactation Is Associated with Lower Infant Weight-For-Length, Body Fat Percent, and Fat Mass in Early Postnatal Life
Muna Tahir, Jacob Haapala, Laurie Foster, Katy Duncan, April Teague, Elyse Kharbanda, Patricia McGovern, Kara Whitaker, Kathleen Rasmussen, David Fields, David Jacobs, Lisa Harnack, Ellen Demerath
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Issues in Measuring and Interpreting Diet and Its Contribution to Obesity
Rachael M. Taylor, Rebecca L. Haslam, Tracy L. Burrows, Kerith R. Duncanson, Lee M. Ashton, Megan E. Rollo, Vanessa A. Shrewsbury, Tracy L. Schumacher, Clare E. Collins
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A Conceptual Framework for Studying and Investing in Precision Nutrition
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Frontiers in Genetics.2019;[Epub] CrossRef
Physical Activity in the Prevention of Weight Gain: the Impact of Measurement and Interpretation of Associations
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Cooking and Gardening Behaviors and Improvements in Dietary Intake in Hispanic/Latino Youth
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Validation of Energy and Nutrition Intake in Japanese Elderly Individuals Estimated Based on a Short Food Frequency Questionnaire Compared against a 7-day Dietary Record: The Kyoto-Kameoka Study
Daiki Watanabe, Hinako Nanri, Tsukasa Yoshida, Miwa Yamaguchi, Mayu Sugita, Yoshizu Nozawa, Yuki Okabe, Aya Itoi, Chiho Goto, Yosuke Yamada, Kazuko Ishikawa-Takata, Hisamine Kobayashi, Misaka Kimura, Kyoto-Kameoka Study Kyoto-Kameoka Study Group
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No Effect of Glucomannan on Body Weight Reduction in Children and Adolescents with Overweight and Obesity: A Randomized Controlled Trial
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The Journal of Pediatrics.2019; 211: 85. CrossRef
Food Consumption, Nutrient Intake and Status during the First 1000 days of Life in the Netherlands: a Systematic Review
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Polyphenol-rich foods and risk of gestational diabetes: a systematic review and meta-analysis
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European Journal of Clinical Nutrition.2019; 73(5): 647. CrossRef
Correlates, Facilitators and Barriers of Healthy Eating Among Primary Care Patients with Prediabetes in Singapore—A Mixed Methods Approach
Raymond Boon Tar Lim, Wei Keong Wee, Wei Chek For, Jayalakshmy Aarthi Ananthanarayanan, Ying Hua Soh, Lynette Mei Lim Goh, Dede Kam Tyng Tham, Mee Lian Wong
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Paper-Based Versus Web-Based Versions of Self-Administered Questionnaires, Including Food-Frequency Questionnaires: Prospective Cohort Study
Itziar Zazpe, Susana Santiago, Carmen De la Fuente-Arrillaga, Jorge M Nuñez-Córdoba, Maira Bes-Rastrollo, Miguel Angel Martínez-González
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Low carbohydrate versus balanced carbohydrate diets for reducing weight and cardiovascular risk
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Nana Shinozaki, Kentaro Murakami, Shizuko Masayasu, Satoshi Sasaki
Public Health Nutrition.2019; 22(13): 2367. CrossRef
Perspective: Advancing Understanding of Population Nutrient–Health Relations via Metabolomics and Precision Phenotypes
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Advances in Nutrition.2019; 10(6): 944. CrossRef
Associations between frequency of food shopping at different food sources and fruit and vegetable intake among rural residents in upstate New York, USA
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Fruit and vegetable intake and bones: A systematic review and meta-analysis
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Comparison of Self-Administered Web-Based and Interviewer Printed Food Frequency Questionnaires for Dietary Assessment in Italian Adolescents
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International Journal of Environmental Research and Public Health.2019; 16(11): 1949. CrossRef
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John Harley, Ramón Gaxiola-Robles, Tania Zenteno-Savín, Lía Celina Méndez-Rodríguez, Alfonso Enrique Bencomo-Alvarez, Alisa Thiede, Todd M. O’Hara
Chemosphere.2019;[Epub] CrossRef
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Alison Merrotsy, Aoife L McCarthy, Jennifer Flack, Sean Lacey, Tara Coppinger
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Natalia Vázquez-Manjarrez, Christoph H Weinert, Maria M Ulaszewska, Carina I Mack, Pierre Micheau, Mélanie Pétéra, Stephanie Durand, Estelle Pujos-Guillot, Björn Egert, Fulvio Mattivi, Achim Bub, Lars Ove Dragsted, Sabine E Kulling, Claudine Manach
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Which food literacy dimensions are associated with diet quality among Canadian parents?
Melissa Anne Fernandez, Sophie Desroches, Marie Marquis, Alexandre Lebel, Mylène Turcotte, Véronique Provencher
British Food Journal.2019; 121(8): 1670. CrossRef
The association between dietary sodium intake and the risk of cataract: data from Korean National Health and Nutrition Examination Survey 2012
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Daiki Watanabe, Hinako Nanri, Hiroyuki Sagayama, Tsukasa Yoshida, Aya Itoi, Miwa Yamaguchi, Keiichi Yokoyama, Yuya Watanabe, Chiho Goto, Naoyuki Ebine, Yasuki Higaki, Kazuko Ishikawa-Takata, Misaka Kimura, Yosuke Yamada
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Dietary intake of isoflavones is associated with a lower prevalence of subclinical cardiovascular disease in postmenopausal women: cross‐sectional study
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Maternal iron-deficiency is associated with premature birth and higher birth weight despite routine antenatal iron supplementation in an urban South African setting: The NuPED prospective study
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The role of one-carbon metabolism and homocysteine in Parkinson’s disease onset, pathology and mechanisms
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Can a Simple Dietary Screening in Early Pregnancy Identify Dietary Habits Associated with Gestational Diabetes?
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Tafese Bosha, Christine Lambert, Simon Riedel, Ute Gola, Aberra Melesse, Hans K. Biesalski
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Dietary Patterns are Associated with Leukocyte LINE-1 Methylation in Women: A Cross-Sectional Study in Southern Italy
Martina Barchitta, Andrea Maugeri, Roberta Magnano San Lio, Giuliana Favara, Maria Clara La Rosa, Claudia La Mastra, Annalisa Quattrocchi, Antonella Agodi
Nutrients.2019; 11(8): 1843. CrossRef
Feasibility of an intervention for men on androgen deprivation therapy: A research protocol
Alana Manson, Jamie Myers, Sandra Billinger, Jaimie Ward, William Parker, Jill Hamilton‐Reeves, Carrie Michel, Sally L. Maliski
Research in Nursing & Health.2019; 42(5): 324. CrossRef
Determinants of Adherence to the Mediterranean Diet: Findings from a Cross-Sectional Study in Women from Southern Italy
Andrea Maugeri, Martina Barchitta, Valerio Fiore, Giuliana Rosta, Giuliana Favara, Claudia La Mastra, Maria Clara La Rosa, Roberta Magnano San Lio, Antonella Agodi
International Journal of Environmental Research and Public Health.2019; 16(16): 2963. CrossRef
Variation in the TAS2R38 Bitterness Receptor Gene Was Associated with Food Consumption and Obesity Risk in Koreans
Jeong-Hwa Choi
Nutrients.2019; 11(9): 1973. CrossRef
Assessment of Nutritional Intakes in Individuals with Obesity under Medical Supervision. A Cross-Sectional Study
Costela Lăcrimioara Șerban, Alexandra Sima, Corina Marcela Hogea, Adela Chiriță-Emandi, Iulia Teodora Perva, Adrian Vlad, Alin Albai, Georgiana Nicolae, Salomeia Putnoky, Romulus Timar, Mihai Dinu Niculescu, Maria Puiu
International Journal of Environmental Research and Public Health.2019; 16(17): 3036. CrossRef
Dietary intake influences gut microbiota development of healthy Australian children from the age of one to two years
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Scientific Reports.2019;[Epub] CrossRef
A Web-Based 24-H Dietary Recall Could Be a Valid Tool for the Indicative Assessment of Dietary Intake in Older Adults Living in Slovenia
Matej Gregorič, Katja Zdešar Kotnik, Igor Pigac, Mojca Gabrijelčič Blenkuš
Nutrients.2019; 11(9): 2234. CrossRef
Calorie Intake and Cognitive Function in the Elderly: Data from the Korean Frailty and Aging Cohort Study (KFACS)
J.-M. Park, J. Lee, Y. Kim, Chang Won Won, Youn-Jung Kim
The journal of nutrition, health & aging.2019; 23(10): 930. CrossRef
Big Data for Nutrition Research in Pediatric Oncology: Current State and Framework for Advancement
Charles A Phillips, Brad H Pollock
JNCI Monographs.2019; 2019(54): 127. CrossRef
Patients With Aldolase B Deficiency Are Characterized by Increased Intrahepatic Triglyceride Content
Nynke Simons, François-Guillaume Debray, Nicolaas C Schaper, M Eline Kooi, Edith J M Feskens, Carla E M Hollak, Lucas Lindeboom, Ger H Koek, Judith A P Bons, Dirk J Lefeber, Leanne Hodson, Casper G Schalkwijk, Coen D A Stehouwer, David Cassiman, Martijn C
The Journal of Clinical Endocrinology & Metabolism.2019; 104(11): 5056. CrossRef
The introduction of new food retail opportunities in lower-income communities and the impact on fruit and vegetable intake: a systematic review
Kelseanna Hollis-Hansen, Leah Vermont, Michelle L Zafron, Jennifer Seidman, Lucia Leone
Translational Behavioral Medicine.2019; 9(5): 837. CrossRef
Elevated serum levels of aminotransferases in relation to unhealthy foods intake: Tehran lipid and glucose study
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BMC Endocrine Disorders.2019;[Epub] CrossRef
Cognitive Restraint and History of Dieting Are Negatively Associated with Organic Food Consumption in a Large Population-Based Sample of Organic Food Consumers
Kelly Virecoulon Giudici, Julia Baudry, Caroline Méjean, Denis Lairon, Marc Bénard, Serge Hercberg, France Bellisle, Emmanuelle Kesse-Guyot, Sandrine Péneau
Nutrients.2019; 11(10): 2468. CrossRef
Organized Homegardens Contribute to Micronutrient Intakes and Dietary Diversity of Rural Households in Sri Lanka
Joshepkumar Thamilini, Chandima Wekumbura, Anoma Janaki Mohotti, Aruna Pradeep Kumara, Sanath Thushara Kudagammana, K. D. Renuka Ruchira Silva, Emmanuel Frossard
Frontiers in Sustainable Food Systems.2019;[Epub] CrossRef
Dietary Patterns May Be Nonproportional Hazards for the Incidence of Type 2 Diabetes: Evidence from Korean Adult Females
Chung, Kim, Kwock
Nutrients.2019; 11(10): 2522. CrossRef
Prevalence and associated anthropometric and lifestyle predictors of hypertension among adults in Kombolcha town and suburbs, Northeast Ethiopia: a community-based cross-sectional study
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BMC Cardiovascular Disorders.2019;[Epub] CrossRef
Validation and reproducibility of a new iodine specific food frequency questionnaire for assessing iodine intake in Norwegian pregnant women
Synnøve Næss, Inger Aakre, Marian Kjellevold, Lisbeth Dahl, Ive Nerhus, Lisa Kolden Midtbø, Maria Wik Markhus
Nutrition Journal.2019;[Epub] CrossRef
Associations of Circadian Eating Pattern and Diet Quality with Substantial Postpartum Weight Retention
See Ling Loy, Yin Bun Cheung, Marjorelee T. Colega, Airu Chia, Chad Yixian Han, Keith M. Godfrey, Yap-Seng Chong, Lynette Pei-Chi Shek, Kok Hian Tan, Ngee Lek, Jerry Kok Yen Chan, Mary Foong-Fong Chong, Fabian Yap
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A Systematic Review of Ecological Momentary Assessment of Diet: Implications and Perspectives for Nutritional Epidemiology
Andrea Maugeri, Martina Barchitta
Nutrients.2019; 11(11): 2696. CrossRef
Dietary and Physical Activity Behaviors in Women with Polycystic Ovary Syndrome per the New International Evidence-Based Guideline
Annie W. Lin, Maryam Kazemi, Brittany Y. Jarrett, Heidi Vanden Brink, Kathleen M. Hoeger, Steven D. Spandorfer, Marla E. Lujan
Nutrients.2019; 11(11): 2711. CrossRef
Serum carotenoids are strongly associated with dermal carotenoids but not self-reported fruit and vegetable intake among overweight and obese women
Emily H. Morgan, Meredith L. Graham, Grace A. Marshall, Karla L. Hanson, Rebecca A. Seguin-Fowler
International Journal of Behavioral Nutrition and Physical Activity.2019;[Epub] CrossRef
Information Literacy in Food and Activity Tracking Among Parkrunners, People With Type 2 Diabetes, and People With Irritable Bowel Syndrome: Exploratory Study
Pamela McKinney, Andrew Martin Cox, Laura Sbaffi
Journal of Medical Internet Research.2019; 21(8): e13652. CrossRef
Strategies to Address Misestimation of Energy Intake Based on Self-Report Dietary Consumption in Examining Associations Between Dietary Patterns and Cancer Risk
Solbak, Al Rajabi, Akawung, Lo Siou, Kirkpatrick, Robson
Nutrients.2019; 11(11): 2614. CrossRef
Effects on milk quantity and composition associated with extruded linseed supplementation to dairy cow diets
Juan Manuel Ariza, Thomas Meignan, Aurélien Madouasse, François Beaudeau, Nathalie Bareille
Scientific Reports.2019;[Epub] CrossRef
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Yatiman Noor Hafizah, Lee Choo Ang, Fendy Yap, Wan Nurul Najwa, Whye Lian Cheah, Abd Talib Ruzita, Farra Aidah Jumuddin, Denise Koh, Julia Ai Cheng Lee, Cecilia A. Essau, Sue Reeves, Carolyn Summerbell, Edward Leigh Gibson, Bee Koon Poh
International Journal of Environmental Research and Public Health.2019; 16(23): 4722. CrossRef
An Environmental Impact Calculator for 24-h Diet Recalls
Thomas Bryan, Andrea Hicks, Bruce Barrett, Catherine Middlecamp
Sustainability.2019; 11(23): 6866. CrossRef
Evaluation of a Novel Tool for Screening Inadequate Food Intake in Age-Related Macular Degeneration Patients
Diana Tang, Paul Mitchell, Gerald Liew, George Burlutsky, Victoria Flood, Bamini Gopinath
Nutrients.2019; 11(12): 3031. CrossRef
Campbelltown – Changing our Future: study protocol for a whole of system approach to childhood obesity in South Western Sydney
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BMC Public Health.2019;[Epub] CrossRef
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María García Rodríguez, Manuel Romero Saldaña, José Manuel Alcaide Leyva, Rafael Moreno Rojas, Guillermo Molina Recio
Journal of Health, Population and Nutrition.2019;[Epub] CrossRef
Meat Consumption Does Not Explain Differences in Household Food Carbon Footprints in Japan
Keiichiro Kanemoto, Daniel Moran, Yosuke Shigetomi, Christian Reynolds, Yasushi Kondo
One Earth.2019; 1(4): 464. CrossRef
Biomarkers of a Healthy Nordic Diet—From Dietary Exposure Biomarkers to Microbiota Signatures in the Metabolome
Rikard Landberg, Kati Hanhineva
Nutrients.2019; 12(1): 27. CrossRef
Mendelian Randomization Study for Genetically Predicted Polyunsaturated Fatty Acids Levels on Overall Cancer Risk and Mortality
Upekha E. Liyanage, Jue-Sheng Ong, Jiyuan An, Puya Gharahkhani, Matthew H. Law, Stuart MacGregor
Cancer Epidemiology, Biomarkers & Prevention.2019; 28(6): 1015. CrossRef
Nutritional assessment of Oraons of West Bengal: a comparison between biochemical and anthropometric methods
Ankita Bhattacharya, Shankarashis Mukherjee, Subrata Kumar Roy
Anthropological Review.2019; 82(3): 297. CrossRef
Dietary sources of salt intake in adults and older people: a population-based study in a Brazilian town
Milena Sia Perin, Marilia Estevam Cornélio, Henrique Ceretta Oliveira, Thais Moreira São-João, Caroline Rhéaume, Maria-Cecília Bueno Jayme Gallani
Public Health Nutrition.2019; 22(8): 1388. CrossRef
Improving food choices and nutrient adequacy in adolescents/young adults with developmental disabilities
Regina M. Subach
Disability and Health Journal.2018; 11(1): 139. CrossRef
Using a Web-Based Diary Method to Estimate Risks and Benefits from Fish Consumption
Nancy A. Connelly, T. Bruce Lauber, Jeff Niederdeppe, Barbara A. Knuth
Risk Analysis.2018; 38(6): 1116. CrossRef
Is there an association between artificial sweetener consumption and assisted reproduction outcomes?
Amanda Souza Setti, Daniela Paes de Almeida Ferreira Braga, Gabriela Halpern, Rita de Cássia S. Figueira, Assumpto Iaconelli, Edson Borges
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Lead exposure in young children over a 5-year period from urban environments using alternative exposure measures with the US EPA IEUBK model – A trial
Brian Gulson, Alan Taylor, Marc Stifelman
Environmental Research.2018; 161: 87. CrossRef
Overall Dietary Intake and Prognosis after Breast Cancer: A Systematic Review
Caroline O. Terranova, Melinda M. Protani, Marina M. Reeves
Nutrition and Cancer.2018; 70(2): 153. CrossRef
Feasibility of a commercial smartphone application for dietary assessment in epidemiological research and comparison with 24-h dietary recalls
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Nutrition Journal.2018;[Epub] CrossRef
Dairy product intake and bone properties in 70-year-old men and women
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Archives of Osteoporosis.2018;[Epub] CrossRef
Association between diet quality, dietary patterns and cardiometabolic health in Australian adults: a cross-sectional study
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Nutrition Journal.2018;[Epub] CrossRef
Imbalanced Nutrient Intake in Cancer Survivors from the Examination from the Nationwide Health Examination Center-Based Cohort
Boyoung Park, Jinhee Lee, Jeongseon Kim
Nutrients.2018; 10(2): 212. CrossRef
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Linda M Hengeveld, Hanneke AH Wijnhoven, Margreet R Olthof, Ingeborg A Brouwer, Tamara B Harris, Stephen B Kritchevsky, Anne B Newman, Marjolein Visser
The American Journal of Clinical Nutrition.2018; 107(2): 155. CrossRef
Dietary inflammatory index, bone health and body composition in a population of young adults: a cross-sectional study
María Correa-Rodríguez, Blanca Rueda-Medina, Emilio González-Jiménez, Jorge Enrique Correa-Bautista, Robinson Ramírez-Vélez, Jacqueline Schmidt-RioValle
International Journal of Food Sciences and Nutrition.2018; 69(8): 1013. CrossRef
The Association Between Empirical Dietary Inflammatory Pattern and Metabolic Phenotypes in Overweight/Obese Adults
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International Journal of Endocrinology and Metabolism.2018;[Epub] CrossRef
Association between Dietary Intake and Coronary Artery Calcification in Non-Dialysis Chronic Kidney Disease: The PROGREDIR Study
Alisson Machado, Luz Gómez, Dirce Marchioni, Fernanda dos Anjos, Maria Molina, Paulo Lotufo, Isabela Benseñor, Silvia Titan
Nutrients.2018; 10(3): 372. CrossRef
Eating with others and meal location are differentially associated with nutrient intake by sex: The Diabetes Study of Northern California (DISTANCE)
Mark C. Pachucki, Andrew J. Karter, Nancy E. Adler, Howard H. Moffet, E. Margaret Warton, Dean Schillinger, Bethany Hendrickson O'Connell, Barbara Laraia
Appetite.2018; 127: 203. CrossRef
The Effect of an Educational Intervention with Spouse’s Participation on Food Intake of Pregnant Females: A Randomized Controlled Trial
Azita Kiani Asiabar, Farkhondeh Amin Shokravi, Majid Hajifaraji, Farid Zayeri
Iranian Red Crescent Medical Journal.2018;[Epub] CrossRef
Migration Background Influences Consumption Patterns Based on Dietary Recommendations of Food Bank Users in Germany
Nanette Stroebele-Benschop, Julia Depa, Fiona Gyngell, Annalena Müller, Laila Eleraky, Carolin Hilzendegen
Journal of Immigrant and Minority Health.2018; 20(6): 1387. CrossRef
Methodologic weaknesses notwithstanding, can a study examining the association between potatoes (or really any food or nutrient) and “all-cause mortality” truly tell us anything meaningful?
Katherine A Beals
The American Journal of Clinical Nutrition.2018; 107(5): 847. CrossRef
Can a Simple Dietary Index Derived from a Sub-Set of Questionnaire Items Assess Diet Quality in a Sample of Australian Adults?
Alexia Bivoltsis, Georgina Trapp, Matthew Knuiman, Paula Hooper, Gina Ambrosini
Nutrients.2018; 10(4): 486. CrossRef
Dietary habits and Helicobacter pylori infection: a cross sectional study at a Lebanese hospital
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BMC Gastroenterology.2018;[Epub] CrossRef
Development and relative validation of a food frequency questionnaire for French-Canadian adolescent and young adult survivors of acute lymphoblastic leukemia
Sophia Morel, Olivia Portolese, Yasmine Chertouk, Jade Leahy, Laurence Bertout, Caroline Laverdière, Maja Krajinovic, Daniel Sinnett, Emile Levy, Valérie Marcil
Nutrition Journal.2018;[Epub] CrossRef
Dietary patterns and chronic kidney disease: a cross-sectional association in the Irish Nun Eye Study
Euan N. Paterson, Charlotte E. Neville, Giuliana Silvestri, Shannon Montgomery, Evelyn Moore, Vittorio Silvestri, Christopher R. Cardwell, Tom J. MacGillivray, Alexander P. Maxwell, Jayne V. Woodside, Gareth J. McKay
Scientific Reports.2018;[Epub] CrossRef
Determinants of IBD Heritability: Genes, Bugs, and More
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Inflammatory Bowel Diseases.2018; 24(6): 1133. CrossRef
Fast and Accurate Approaches for Large-Scale, Automated Mapping of Food Diaries on Food Composition Tables
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Frontiers in Nutrition.2018;[Epub] CrossRef
Mindfulness and Climate Change Action: A Feasibility Study
Maggie Grabow, Thomas Bryan, Mary Checovich, Alexander Converse, Cathy Middlecamp, Margaret Mooney, Elisa Torres, Samuel Younkin, Bruce Barrett
Sustainability.2018; 10(5): 1508. CrossRef
Dietary patterns and associated risk factors among school age children in urban Ghana
Deda Ogum Alangea, Richmond N. Aryeetey, Heewon L. Gray, Amos K. Laar, Richard M. K. Adanu
BMC Nutrition.2018;[Epub] CrossRef
The Relative Validity of the Menzies Remote Short-Item Dietary Assessment Tool (MRSDAT) in Aboriginal Australian Children Aged 6–36 Months
Emma Tonkin, Dani Kennedy, Rebecca Golley, Rebecca Byrne, Athira Rohit, Therese Kearns, Sarah Hanieh, Beverley-Ann Biggs, Julie Brimblecombe
Nutrients.2018; 10(5): 590. CrossRef
Pre-exercise β-hydroxy-β-methylbutyrate free-acid supplementation improves work capacity recovery: a randomized, double-blinded, placebo-controlled study
Ana Luiza Matias Correia, Filipe Dinato de Lima, Martim Bottaro, Amilton Vieira, Andrew Correa da Fonseca, Ricardo Moreno Lima
Applied Physiology, Nutrition, and Metabolism.2018; 43(7): 691. CrossRef
User-documented food consumption data from publicly available apps: an analysis of opportunities and challenges for nutrition research
Marcus Maringer, Pieter van’t Veer, Naomi Klepacz, Muriel C. D. Verain, Anne Normann, Suzanne Ekman, Lada Timotijevic, Monique M. Raats, Anouk Geelen
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Relative Validity and Reproducibility of a New 44-Item Diet and Food Frequency Questionnaire Among Adults: Online Assessment
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Journal of Medical Internet Research.2018; 20(7): e227. CrossRef
Effects of total fat intake on bodyweight in children
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Cochrane Database of Systematic Reviews.2018;[Epub] CrossRef
Assessing the relative validity of a new, web-based, self-administered 24 h dietary recall in a French-Canadian population
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Digital Food Records in Community-Based Interventions: Mixed-Methods Pilot Study
Lauren A Fowler, Leah R Yingling, Alyssa T Brooks, Gwenyth R Wallen, Marlene Peters-Lawrence, Michael McClurkin, Kenneth L Wiley Jr, Valerie M Mitchell, Twanda D Johnson, Kendrick E Curry, Allan A Johnson, Avis P Graham, Lennox A Graham, Tiffany M Powell-
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Nutrition during pregnancy and early development (NuPED) in urban South Africa: a study protocol for a prospective cohort
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BMC Pregnancy and Childbirth.2018;[Epub] CrossRef
Low potassium and high sodium intakes: a double health threat to Cape Verdeans
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Low Dietary Intakes of Essential Nutrients during Pregnancy in Vietnam
Cong Nguyen, Dong Hoang, Phung Nguyen, Anh Ha, Tan Chu, Ngoc Pham, Andy Lee, Dat Duong, Colin Binns
Nutrients.2018; 10(8): 1025. CrossRef
Association of Handgrip Strength with Dietary Intake in the Korean Population: Findings Based on the Seventh Korea National Health and Nutrition Examination Survey (KNHANES VII-1), 2016
Young Tak, Jeong Lee, Yu Yi, Yun Kim, Sangyeoup Lee, Byung Cho, Young Cho
Nutrients.2018; 10(9): 1180. CrossRef
Circulating γ-Tocopherol Concentrations Are Inversely Associated with Antioxidant Exposures and Directly Associated with Systemic Oxidative Stress and Inflammation in Adults
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The Journal of Nutrition.2018; 148(9): 1453. CrossRef
Characterization of Daily Dietary Intake and the Health Risk of Neonicotinoid Insecticides for the U.S. Population
Chi-Hsuan Chang, David MacIntosh, Bernardo Lemos, Quan Zhang, Chensheng Lu
Journal of Agricultural and Food Chemistry.2018; 66(38): 10097. CrossRef
Data Mapping From Food Diaries to Augment the Amount and Frequency of Foods Measured Using Short Food Questionnaires
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Frontiers in Nutrition.2018;[Epub] CrossRef
Unhealthy Behaviors Among Canadian Men Are Predictors of Comorbidities: Implications for Clinical Practice
Nahid Punjani, Ryan Flannigan, John L. Oliffe, Donald R. McCreary, Nick Black, S. Larry Goldenberg
American Journal of Men's Health.2018; 12(6): 2183. CrossRef
Dietary intake of professional Australian football athletes surrounding body composition assessment
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Journal of the International Society of Sports Nutrition.2018;[Epub] CrossRef
Cross-Sectional Analysis of the Correlation Between Daily Nutrient Intake Assessed by 7-Day Food Records and Biomarkers of Dietary Intake Among Participants of the NU-AGE Study
Rita Ostan, Giulia Guidarelli, Enrico Giampieri, Catia Lanzarini, Agnes A. M. Berendsen, Olga Januszko, Amy Jennings, Noëlle Lyon, Elodie Caumon, Rachel Gillings, Ewa Sicinska, Nathalie Meunier, Edith J. M. Feskens, Barbara Pietruszka, Lisette C. P. G. M.
Frontiers in Physiology.2018;[Epub] CrossRef
Design and methodology of the screening for CKD among older patients across Europe (SCOPE) study: a multicenter cohort observational study
Andrea Corsonello, Lisanne Tap, Regina Roller-Wirnsberger, Gerhard Wirnsberger, Carmine Zoccali, Tomasz Kostka, Agnieszka Guligowska, Francesco Mattace-Raso, Pedro Gil, Lara Guardado Fuentes, Itshak Meltzer, Ilan Yehoshua, Francesc Formiga-Perez, Rafael M
BMC Nephrology.2018;[Epub] CrossRef
Technology-Based Dietary Assessment in Youth with and Without Developmental Disabilities
Michele Polfuss, Andrea Moosreiner, Carol Boushey, Edward Delp, Fengqing Zhu
Nutrients.2018; 10(10): 1482. CrossRef
The Multifactorial Etiopathogeneses Interplay of Inflammatory Bowel Disease: An Overview
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Gastrointestinal Disorders.2018; 1(1): 75. CrossRef
Mobile Ecological Momentary Diet Assessment Methods for Behavioral Research: Systematic Review
Susan M Schembre, Yue Liao, Sydney G O'Connor, Melanie D Hingle, Shu-En Shen, Katarina G Hamoy, Jimi Huh, Genevieve F Dunton, Rick Weiss, Cynthia A Thomson, Carol J Boushey
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Validity of Estimated Acrylamide Intake by the Dietary Record Method and Food Frequency Questionnaire in Comparison with a Duplicate Method: A Pilot Study
Junpei YAMAMOTO, Junko ISHIHARA, Ayaka KOTEMORI, Misako NAKADATE, Tomotaka SOBUE
Journal of Nutritional Science and Vitaminology.2018; 64(5): 340. CrossRef
Use of a Smartphone Application Can Improve Assessment of High-Fat Food Consumption in Overweight Individuals
Agata Chmurzynska, Monika Mlodzik-Czyzewska, Anna Malinowska, Jolanta Czarnocinska, Douglas Wiebe
Nutrients.2018; 10(11): 1692. CrossRef
Complementary Biomarker Assessment of Components Absorbed from Diet and Creatinine Excretion Rate Reflecting Muscle Mass in Dialysis Patients
Adrian Post, Akin Ozyilmaz, Ralf Westerhuis, Karin Ipema, Stephan Bakker, Casper Franssen
Nutrients.2018; 10(12): 1827. CrossRef
Nut consumption and metabolic syndrome in US adolescents
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Public Health Nutrition.2018; 21(17): 3245. CrossRef
A Metabolomics Approach to the Identification of Urinary Biomarkers of Pea Intake
Pedapati S.C. Sri Harsha, Roshaida Abdul Wahab, Catalina Cuparencu, Lars Dragsted, Lorraine Brennan
Nutrients.2018; 10(12): 1911. CrossRef
Food-Aid Quality Correlates Positively With Diet Quality of Food Pantry Users in the Leket Israel Food Bank Collaborative
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Frontiers in Nutrition.2018;[Epub] CrossRef
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Healthy Eating Index: Assessment of the Diet Quality of a Brazilian Elderly Population
Dalila Pinto de Souza Fernandes, Maria Sônia Lopes Duarte, Milene Cristine Pessoa, Sylvia do Carmo Castro Franceschini, Andréia Queiroz Ribeiro
Nutrition and Metabolic Insights.2018; 11: 117863881881884. CrossRef
Dietary phosphorus intake estimated by 4-day dietary records and two 24-hour urine collections and their associated factors in Japanese adults
Nana Shinozaki, Kentaro Murakami, Keiko Asakura, Ken Uechi, Satomi Kobayashi, Shizuko Masayasu, Satoshi Sasaki
European Journal of Clinical Nutrition.2018; 72(4): 517. CrossRef
Early life Triclosan exposure and child adiposity at 8 Years of age: a prospective cohort study
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Public Health Nutrition.2018; 21(7): 1319. CrossRef
Comparative evidence of the consumption from fast-food restaurants between normal-weight and obese Saudi schoolchildren
Hmidan A Alturki, Denise SK Brookes, Peter SW Davies
Public Health Nutrition.2018; 21(12): 2280. CrossRef
Dietary fat intake associated with bone mineral density among visfatin genotype in obese people
Leila Khorrami-Nezhad, Khadijeh Mirzaei, Zhila Maghbooli, Seyed Ali Keshavarz
British Journal of Nutrition.2018; 119(1): 3. CrossRef
The development of metabolite biomarkers of energy-dense nutrient-poor foods and takeaway (fast) food dietary patterns
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Diet quality indices in relation to metabolic syndrome in an Indigenous Cree (Eeyouch) population in northern Québec, Canada
Mathilde Lavigne-Robichaud, Jean-Claude Moubarac, Stéfanie Lantagne-Lopez, Louise Johnson-Down, Malek Batal, Elhadji A Laouan Sidi, Michel Lucas
Public Health Nutrition.2018; 21(1): 172. CrossRef
Biomarkers of Nutrition for Development (BOND): Vitamin B-12 Review
Lindsay H Allen, Joshua W Miller, Lisette de Groot, Irwin H Rosenberg, A David Smith, Helga Refsum, Daniel J Raiten
The Journal of Nutrition.2018; 148: 1995S. CrossRef
Unhealthy dietary patterns among healthcare professionals and students in Mexico
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Differences in omega-3 and omega-6 polyunsaturated fatty acid consumption in people at ultra-high risk of psychosis, first-episode schizophrenia, and in healthy controls
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European Journal of Nutrition.2017; 56(4): 1685. CrossRef
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Snap-N-Send: A valid and reliable method for assessing the energy intake of elite adolescent athletes
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Severe Headache or Migraine History Is Inversely Correlated With Dietary Sodium Intake: NHANES 1999–2004
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Ana-Lucia Mayén, Pascal Bovet, Helena Marti-Soler, Bharathi Viswanathan, Jude Gedeon, Fred Paccaud, Pedro Marques-Vidal, Silvia Stringhini, Elizabeth W Triche
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The Shape of the Dose-Response Relationship between Sugars and Caries in Adults
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The American Journal of Clinical Nutrition.2016; 104(3): 694. CrossRef
Paleolithic and Mediterranean Diet Pattern Scores Are Inversely Associated with Biomarkers of Inflammation and Oxidative Balance in Adults
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The Journal of Nutrition.2016; 146(6): 1217. CrossRef
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Xin Hong, Qing Ye, Zhiyong Wang, Huafeng Yang, Xupeng Chen, Hairong Zhou, Chenchen Wang, Wenjie Chu, Yichao Lai, Liuyuan Sun, Youfa Wang, Fei Xu
British Journal of Nutrition.2016; 116(5): 842. CrossRef
Reproducibility and validity of an FFQ developed for adults in Nanjing, China
Qing Ye, Xin Hong, Zhiyong Wang, Huafeng Yang, Xupeng Chen, Hairong Zhou, Chenchen Wang, Yichao Lai, Liuyuan Sun, Fei Xu
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Marianne T. Rizk, Teresa A. Treat
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Resveratrol metabolite profiling in clinical nutrition research-from diet to uncovering disease risk biomarkers: epidemiological evidence
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Annals of the New York Academy of Sciences.2015; 1348(1): 107. CrossRef
1H NMR-based urine metabolic profile of IUGR, LGA, and AGA newborns in the first week of life
Flaminia Cesare Marincola, Angelica Dessì, Maria Grazia Pattumelli, Sara Corbu, Cristina Ossicini, Simona Ciccarelli, Rocco Agostino, Michele Mussap, Vassilios Fanos
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Dietary fat and carbohydrate modulate the effect of the ATP-binding cassette A1 (ABCA1) R230C variant on metabolic risk parameters in premenopausal women from the Genetics of Atherosclerotic Disease (GEA) Study
Leonor Jacobo-Albavera, Carlos Posadas-Romero, Gilberto Vargas-Alarcón, Sandra Romero-Hidalgo, Rosalinda Posadas-Sánchez, María del Carmen González-Salazar, Alessandra Carnevale, Samuel Canizales-Quinteros, Aida Medina-Urrutia, Erika Antúnez-Argüelles, Te
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The Difference in Nutrient Intakes between Chinese and Mediterranean, Japanese and American Diets
Ronghua Zhang, Zhaopin Wang, Ying Fei, Biao Zhou, Shuangshuang Zheng, Lijuan Wang, Lichun Huang, Shuying Jiang, Zeyu Liu, Jingxin Jiang, Yunxian Yu
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Early feeding patterns among Mexican babies: findings from the 2012 National Health and Nutrition Survey and implications for health and obesity prevention
Denise M. Deming, Myriam C. Afeiche, Kathleen C. Reidy, Alison L. Eldridge, Salvador Villalpando-Carrión
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Fecal Microbial Community Structure Is Stable over Time and Related to Variation in Macronutrient and Micronutrient Intakes in Lactating Women
Janae M Carrothers, Mara A York, Sarah L Brooker, Kimberly A Lackey, Janet E Williams, Bahman Shafii, William J Price, Matthew L Settles, Mark A McGuire, Michelle K McGuire
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The Nordic diet and cognition – The DR's EXTRA Study
Reija Männikkö, Pirjo Komulainen, Ursula Schwab, Harri M. Heikkilä, Kai Savonen, Maija Hassinen, Tuomo Hänninen, Miia Kivipelto, Rainer Rauramaa
British Journal of Nutrition.2015; 114(2): 231. CrossRef