Objective Dietary Assessment in Nutrition Epidemiology Studies

2021 ◽  
Keyword(s):  
Dietary Assessment ◽  
Epidemiology Studies ◽  
Nutrition Epidemiology

scholarly journals Recent Advances in the Application of Metabolomics for Nutrition and Health

2019 ◽  
Vol 10 (1) ◽  
pp. 479-519 ◽  
Author(s):  
Diana González-Peña ◽  
Lorraine Brennan
Keyword(s):  
Small Molecules ◽  
Biological Samples ◽  
Large Scale ◽  
Dietary Assessment ◽  
Personalized Nutrition ◽  
Nutrition And Health ◽  
Successful Development ◽  
Nutrition Research ◽  
Epidemiology Studies ◽  
Further Development

Metabolomics is the study of small molecules called metabolites in biological samples. Application of metabolomics to nutrition research has expanded in recent years, with emerging literature supporting multiple applications. Key examples include applications of metabolomics in the identification and development of objective biomarkers of dietary intake, in developing personalized nutrition strategies, and in large-scale epidemiology studies to understand the link between diet and health. In this review, we provide an overview of the current applications and identify key challenges that need to be addressed for the further development of the field. Successful development of metabolomics for nutrition research has the potential to improve dietary assessment, help deliver personalized nutrition, and enhance our understanding of the link between diet and health.

Evaluating Smartphone App Based Dietary Tracking in a Military Population: Validation Study (Preprint)

2021 ◽  
Author(s):  
John Poglodzinski ◽  
Bethany Ann Deschamps ◽  
Mary McCarthy ◽  
Renee Cole ◽  
Evelyn Elshaw ◽  
...  
Keyword(s):  
Dietary Assessment ◽  
Daily Intake ◽  
Nutritional Epidemiology ◽  
Military Population ◽  
Relative Validity ◽  
Demographic Questionnaire ◽  
Smartphone Technology ◽  
Clinically Significant ◽  
24 Hour Recall ◽  
Epidemiology Studies

BACKGROUND Collecting dietary intake data is a key component for a majority of nutritional epidemiology studies. Smartphone technology advancements allow researchers to use health and nutrition apps as alternatives to currently available tools (food frequency questionnaires, 24-hour recalls, and food diaries). Service Members (SM) can greatly benefit from the always-available information and easily accessible nature of smartphones to track their intake. Clinicians working with military units can help provide these SM with the skills to evaluate their intake for performance benefits. Understanding the accuracy of these apps is important to determine their effectiveness for use in clinical and research settings. OBJECTIVE This study evaluated the relative validity of self-reported intake with the HealthWatch 360 (HW 360) app compared to the Automated Self-Administered 24-hour Dietary Assessment (ASA24). METHODS Recruitment targeted Army and Air Force SM from Joint Base Lewis-McChord, WA and Joint Base San Antonio-Lackland, TX who currently or previously failed to meet body composition standards. Participants (n=53) completed a demographic questionnaire, baseline anthropometric measurements, and recorded daily intake on the HW 360 app. They returned approximately two weeks later to complete a 24-hour recall using the ASA24. Agreement and relative validity were evaluated using Bland-Altman plots and two one-sided tests at a ± 10% equivalency range of ASA24 mean nutrient intake values between HW 360 and ASA24 data. Multilinear regressions analyzed relationships between participant demographics and relative validity. RESULTS HW 360 was not significantly equivalent to the ASA24. Large levels of underreporting were found in total energy (Mean Difference (Mdiff) = -503.3 kcal, 90% CI: -649.8 to -356.7 kcal), carbohydrates (Mdiff = -52.2 g, 90% CI: -70.4 to -34.1 g), protein (Mdiff = -20.4 g, 90% CI: -29.4 to -11.3 g), and fat (Mdiff = -24.6 g, 90% CI: -32.5 to -16.7 g). Bland-Altman plots failed to illustrate agreement. No significant correlations existed for demographic variables and relative validity. CONCLUSIONS Differences between all variables tested were above clinically significant values and limit the usage of this application in research and clinical settings. Further research is needed to determine the potential causes of underreporting and evaluate methods to minimize this effect. Understanding these effects allows the implementation of a tailored app for use with SM. It has the potential to be an invaluable asset for this population due the unpredictable nature of deployments and training exercises. CLINICALTRIAL ClinicalTrials.gov NCT04959318; https://clinicaltrials.gov/ct2/show/NCT04959318

scholarly journals Deteriorated Dietary Patterns with Regards to Health and Environmental Sustainability among Hungarian Roma Are Not Differentiated from Those of the General Population

Nutrients ◽  
2021 ◽  
Vol 13 (3) ◽  
pp. 721
Author(s):  
Erand Llanaj ◽  
Ferenc Vincze ◽  
Zsigmond Kósa ◽  
Helga Bárdos ◽  
Judit Diószegi ◽  
...  
Keyword(s):  
Dietary Patterns ◽  
Environmental Sustainability ◽  
Dietary Assessment ◽  
Nutritional Epidemiology ◽  
Dietary Quality ◽  
World Health ◽  
Inflammatory Index ◽  
North East ◽  
Health Organization ◽  
Epidemiology Studies

Nutritional epidemiology studies on Roma people are scarce and, to date, their nutrient-based dietary patterns with regards to both healthy and sustainable dietary considerations have never been reported. We report, for the first time, adherence to healthy and sustainable dietary patterns using scoring and regression models, based on recommendations defined by the World Health Organization, in the Dietary Approaches to Stop Hypertension (DASH) study and the EAT-Lancet report, as well as dietary quality based on Dietary Inflammatory Index (DII) among the Hungarian Roma (HR) population living in North East Hungary, with Hungarian general (HG) adults as reference. Data were obtained from a complex, comparative health survey involving dietary assessment, structured questionnaire-based interview, physical and laboratory examinations on 359 HG and 344 HR subjects in Northeast Hungary. Poisson regressions were fit to models that included DASH, EAT, DII and Healthy Diet Indicator as dependent variables to assess the influence of ethnicity on healthy and sustainable nutrient-based patterns. Adjusted models controlled for all relevant covariates using the residual method indicated poor dietary quality with regards to the selected dietary patterns. These associations were not ethnicity-sensitive, except for DII, where Roma ethnicity was linked to a decrease of DII score (β = −0.455, 95%CI: −0.720; −0.191, p < 0.05). Currently, HR dietary patterns appear to be relatively unhealthy and unsustainable, rendering them vulnerable to elevated risk of ill-health. Nevertheless, their dietary patterns did not strongly differ from HG, which may contribute to Hungarians being one of the most obese and malnourished nations in Europe. Further prospective research on the potential public and environmental health effects of these findings is warranted.

scholarly journals Evidence-Based Tools for Dietary Assessments in Nutrition Epidemiology Studies for Dementia Prevention

2022 ◽  
pp. 1-5
Author(s):  
K.A. Abbott ◽  
J.M. Posma ◽  
I. Garcia-Perez ◽  
C. Udeh-Momoh ◽  
S. Ahmadi-Abhari ◽  
...  
Keyword(s):  
Cognitive Aging ◽  
Measurement Errors ◽  
Disease Risk ◽  
Age Related ◽  
Dementia Prevention ◽  
Modifiable Factor ◽  
Disease Indicators ◽  
Epidemiology Studies ◽  
Nutrition Epidemiology ◽  
Age Related Cognitive Decline

Increasing evidence proposes diet as a notable modifiable factor and viable target for the reduction of Alzheimer’s Disease risk and age-related cognitive decline. However, assessment of dietary exposures is challenged by dietary capture methods that are prone to misreporting and measurement errors. The utility of -omics technologies for the evaluation of dietary exposures has the potential to improve reliability and offer new insights to pre-disease indicators and preventive targets in cognitive aging and dementia. In this review, we present a focused overview of metabolomics as a validation tool and framework for investigating the immediate or cumulative effects of diet on cognitive health.

DIETARY ASSESSMENT AND NUTRIENT INTAKE OF PREGNANT DIABETIC WOMEN FROM NAGPUR CITY

2019 ◽  
Author(s):  
Sangita R. Meghal and Kalpana Jadhav Sangita R. Meghal and Kalpana Jadhav ◽  
Keyword(s):  
Nutrient Intake ◽  
Dietary Assessment ◽  
Pregnant Diabetic

Cultural Relevance of a Fruit and Vegetable Food Frequency Questionnaire

2005 ◽  
Vol 66 (4) ◽  
pp. 231-236 ◽  
Author(s):  
Judy Paisley ◽  
Marlene Greenberg ◽  
Jess Haines
Keyword(s):  
Food Frequency Questionnaire ◽  
Dietary Assessment ◽  
Cultural Relevance ◽  
Assessment Tools ◽  
Comparative Approach ◽  
Fruit And Vegetable ◽  
Food Frequency ◽  
Research And Practice ◽  
Vegetable Food ◽  
Nutrition Research

Purpose: Canada’s multicultural population poses challenges for culturally competent nutrition research and practice. In this qualitative study, the cultural relevance of a widely used semiquantitative fruit and vegetable food frequency questionnaire (FFQ) was examined among convenience samples of adults from Toronto’s Cantonese-, Mandarin-, Portuguese-, and Vietnamesespeaking communities. Methods: Eighty-nine participants were recruited through community-based organizations, programs, and advertisements to participate in semi-structured interviews moderated in their native language. Data from the interviews were translated into English and transcribed for analysis using the constant comparative approach. Results: Four main themes emerged from the analysis: the cultural relevance of the foods listed on the FFQ, words with multiple meanings, the need for culturally appropriate portionsize prompts, and the telephone survey as a Western concept. Conclusions: This research highlights the importance of investing resources to develop culturally relevant dietary assessment tools that ensure dietary assessment accuracy and, more important, reduce ethnocentric biases in food and nutrition research and practice. The transferability of findings must be established through further research.

Unique views on obesity-related behaviors and environments: research using still and video images (Preprint)

2018 ◽  
Author(s):  
Jordan Carlson ◽  
J. Aaron Hipp ◽  
Jacqueline Kerr ◽  
Todd Horowitz ◽  
David Berrigan
Keyword(s):  
Physical Activity ◽  
Ethical Issues ◽  
Data Extraction ◽  
Dietary Assessment ◽  
Extraction Methods ◽  
Image Capture ◽  
Still Images ◽  
Key Informants ◽  
Technological Advances ◽  
Computer Scientists

BACKGROUND Image based data collection for obesity research is in its infancy. OBJECTIVE The present study aimed to document challenges to and benefits from such research by capturing examples of research involving the use of images to assess physical activity- or nutrition-related behaviors and/or environments. METHODS Researchers (i.e., key informants) using image capture in their research were identified through knowledge and networks of the authors of this paper and through literature search. Twenty-nine key informants completed a survey covering the type of research, source of images, and challenges and benefits experienced, developed specifically for this study. RESULTS Most respondents used still images in their research, with only 26.7% using video. Image sources were categorized as participant generated (N = 13; e.g., participants using smartphones for dietary assessment), researcher generated (N = 10; e.g., wearable cameras with automatic image capture), or curated from third parties (N = 7; e.g., Google Street View). Two of the major challenges that emerged included the need for automated processing of large datasets (58.8%) and participant recruitment/compliance (41.2%). Benefit-related themes included greater perspectives on obesity with increased data coverage (34.6%) and improved accuracy of behavior and environment assessment (34.6%). CONCLUSIONS Technological advances will support the increased use of images in the assessment of physical activity, nutrition behaviors, and environments. To advance this area of research, more effective collaborations are needed between health and computer scientists. In particular development of automated data extraction methods for diverse aspects of behavior, environment, and food characteristics are needed. Additionally, progress in standards for addressing ethical issues related to image capture for research purposes are critical. CLINICALTRIAL NA

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