Module Details
Module Code: |
BIOL9014 |
Title: |
Advanced Dietary Assessment
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Long Title:
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Advanced Dietary Assessment
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NFQ Level: |
Expert |
Valid From: |
Semester 1 - 2023/24 ( September 2023 ) |
Field of Study: |
4211 - Biochemistry & Cell Biology
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Module Description: |
To provide a deep understanding into the principles and applications of dietary assessment methodologies from design through to interpretation of findings
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Learning Outcomes |
On successful completion of this module the learner will be able to: |
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Learning Outcome Description |
LO1 |
Critically assess current methodologies for self-reported dietary assessment |
LO2 |
Critically appraise new methodologies in dietary assessment including technological advancements |
LO3 |
Critically evaluate objective measures of dietary assessment including biomarkers for dietary intake |
LO4 |
Critically appraise the strengths and limitations of different methodologies for specific research/clinical purposes |
LO5 |
Produce scientific report and communicate the content through an oral presentation |
Dependencies |
Module Recommendations
This is prior learning (or a practical skill) that is strongly recommended before enrolment in this module. You may enrol in this module if you have not acquired the recommended learning but you will have considerable difficulty in passing (i.e. achieving the learning outcomes of) the module. While the prior learning is expressed as named MTU module(s) it also allows for learning (in another module or modules) which is equivalent to the learning specified in the named module(s).
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Incompatible Modules
These are modules which have learning outcomes that are too similar to the learning outcomes of this module. You may not earn additional credit for the same learning and therefore you may not enrol in this module if you have successfully completed any modules in the incompatible list.
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No incompatible modules listed |
Co-requisite Modules
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No Co-requisite modules listed |
Requirements
This is prior learning (or a practical skill) that is mandatory before enrolment in this module is allowed. You may not enrol on this module if you have not acquired the learning specified in this section.
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No requirements listed |
Indicative Content |
Dietary assessment methodologies
An insight into current methodologies used for dietary assessment including self-reported (food diaries, 24-hour recalls, Food Frequency Questionnaires (FFQs)), and objective measures (biomarkers- isotopes, metabolomics), estimation of intake of foods, energy, nutrients, non-nutrient components of foods
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Data collection and analysis
An overview of the databases behind dietary intake software: Food composition databases (UK Composition of Foods Database (COFID), United States Department of Agriculture (USDA) food composition database, other), Food portion sizes, Nutritional/food supplements, Ingredients, Recipes of composite dishes, Fortified foods, Allergens, Brand databases, Awareness of ethical and legal considerations in dietary assessment
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Dietary assessment software
An overview of dietary software tools available for dietary intake and modelling- Dietary analysis software (e.g. Nutritics Foodbook24, Intake 24, Myfood 24, ASA24, other), Dietary modelling (Dazult), Sustainability (Foodprint), Nutrient profiling
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Data interpretation
Use of Dietary reference values (European Food Safety Authority (EFSA), UK Scientific Committee on Nutrition (SACN) US Institute of Medicine (IOM), other), statistical approaches to mitigate measurement errori, dentification of under-reporters, estimation of usual intakes, estimation of dietary inadequacy, dietary exposure (foods, nutrients, chemicals), use of machine learning for data analysis, meal patterns
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Other technological advancements
An overview of other technological advancements in dietary assessment including digital photography for measuring food intake, chewing and swallowing sensors, bites as a unit of measurement
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Module Content & Assessment
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Assessment Breakdown | % |
Coursework | 100.00% |
Assessments
No End of Module Formal Examination |
Reassessment Requirement |
Coursework Only
This module is reassessed solely on the basis of re-submitted coursework. There is no repeat written examination.
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The University reserves the right to alter the nature and timings of assessment
Module Workload
Workload: Full Time |
Workload Type |
Contact Type |
Workload Description |
Frequency |
Average Weekly Learner Workload |
Hours |
Lecture |
Contact |
Online lectures |
Every Week |
2.00 |
2 |
Lab |
Contact |
Application of learning to case studies and project work |
Every Second Week |
1.00 |
2 |
Independent & Directed Learning (Non-contact) |
Non Contact |
Review of lecture material and recommended external material |
Every Week |
4.00 |
4 |
Total Hours |
8.00 |
Total Weekly Learner Workload |
7.00 |
Total Weekly Contact Hours |
3.00 |
Workload: Part Time |
Workload Type |
Contact Type |
Workload Description |
Frequency |
Average Weekly Learner Workload |
Hours |
Lecture |
Contact |
Online lectures |
Every Week |
2.00 |
2 |
Lab |
Contact |
Application of learning to case studies and project work |
Every Second Week |
1.00 |
2 |
Independent & Directed Learning (Non-contact) |
Non Contact |
Review of lecture material and recommended external material |
Every Week |
4.00 |
4 |
Total Hours |
8.00 |
Total Weekly Learner Workload |
7.00 |
Total Weekly Contact Hours |
3.00 |
Module Resources
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Recommended Book Resources |
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Dale A. Schoeller (Editor), M. Westerterp (Editor). (2017), Advances in the Assessment of Dietary Intake, 1. CRC Press, [ISBN: 978-103209652].
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Editor(s):Julie A Lovegrove, Leanne Hodson, Sangita Sharma, Susan A Lanham-New. (2015), Nutrition Research Methodologies, John Wiley & Sons, Ltd, [ISBN: 9781119180425].
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FAO/UN. (2018), Dietary assessment: A resource guide to method selection and application in low resource settings, [ISBN: 9251306354].
| Recommended Article/Paper Resources |
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Walton J. (2015), Dietary Assessment Methodology for
Nutritional Assessment: A Practical
Approach, Topics in Clinical Nutrition, 30 (1),
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Brennan L & Hu F. (2018), Metabolomics-Based Dietary Biomarkers in
Nutritional Epidemiology—Current Status
and Future Opportunities, Molecular Nutrition & Food Reserach,
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Dragsted, L.O., Gao, Q., Scalbert, A. et
al.. (2018), alidation of biomarkers of food
intake—critical assessment of candidate
biomarkers., Genes Nutr, 13,
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Boushey CJ, Spoden M, Zhu FM, Delp EJ,
Kerr DA. (2017), New mobile methods for dietary
assessment: review of image-assisted and
image-based dietary assessment methods., Proceedings of the Nutrition Society,
| Other Resources |
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