FB2NEP: Nutritional Epidemiologyand Public Health

Module code: FB2NEP

Module provider: Food and Nutritional Sciences; School of Chemistry, Food and Pharmacy

Credits: 20

Level: Level 2 (Intermediate)

When you'll be taught: Semester 2

Module convenor: Professor Gunter Kuhnle, email: g.g.kuhnle@reading.ac.uk

Module co-convenor: Dr Miriam Clegg, email: m.e.clegg@reading.ac.uk

Pre-requisite module(s):

Co-requisite module(s):

Pre-requisite or Co-requisite module(s):

Module(s) excluded:

Placement information: NA

Academic year: 2024/5

Available to visiting students: Yes

Talis reading list: Yes

Last updated: 21 May 2024

Overview

Module aims and purpose

This module will explore how we develop nutrition public health policy from data collection, nutritional epidemiology through to using behaviour change theory to developing public health interventions. The module will also explore factors that affect diet and nutritional needs, intake and practices, including the importance of religious and cultural beliefs, socio-economic, geographical, and environmental factors.

This module will include data analysis, nutritional epidemiology and health behaviour change in the context of public health nutrition. Students will then be asked to conduct data analysis on a dietary dataset which will be used to recommend a public health intervention. They will then develop a behaviour change intervention and health promotion campaign based on their findings.

• To compare and contrast public health nutrition strategies and policies in different socioeconomic groups
• To develop an in-depth understanding of health behaviour, behaviour change and practical applications of this knowledge.
• To appraise nutritional evidence and analyse datasets using nutritional epidemiological methods and techniques that can be used to inform public health policy.

Module learning outcomes

By the end of the module, it is expected that students will be able to:

1. Demonstrate an understanding of the concepts and challenges of public health nutrition including the impact of health inequalities.
2. Appraise and critique scientific nutritional evidence that can be used to inform public health policy.
3. Analyse data using nutritional epidemiological methods and techniques.
4. Develop a nutritional health promotion campaign applying behaviour change theory and interventions

Module content

Nutritional epidemiology methods and techniques, analysis of nutritional datasets, models of health behaviour change, behaviour change techniques and health promotion, developing and critically evaluation public health interventions.

Structure

Teaching and learning methods

Students will acquire information via lectures. Seminars and workshops will be used to explore the information in more detail. Small group discussion sessions will be undertaken with staff to feedforward on their learning and assessment.

Study hours

At least 40 hours of scheduled teaching and learning activities will be delivered in person, with the remaining hours for scheduled and self-scheduled teaching and learning activities delivered either in person or online. You will receive further details about how these hours will be delivered before the start of the module.

Please note the independent study hours above are notional numbers of hours; each student will approach studying in different ways. We would advise you to reflect on your learning and the number of hours you are allocating to these tasks.

Semester 1 The hours in this column may include hours during the Christmas holiday period.

Semester 2 The hours in this column may include hours during the Easter holiday period.

Summer The hours in this column will take place during the summer holidays and may be at the start and/or end of the module.

Assessment

Requirements for a pass

Students need to achieve an overall module mark of 40% to pass this module.

For AfN accredited programmes, students need to achieve 40% in each assessment.

Summative assessment

Penalties for late submission of summative assessment

The Support Centres will apply the following penalties for work submitted late:

Assessments with numerical marks

• where the piece of work is submitted after the original deadline (or any formally agreed extension to the deadline): 10% of the total marks available for that piece of work will be deducted from the mark for each working day (or part thereof) following the deadline up to a total of three working days;
• the mark awarded due to the imposition of the penalty shall not fall below the threshold pass mark, namely 40% in the case of modules at Levels 4-6 (i.e. undergraduate modules for Parts 1-3) and 50% in the case of Level 7 modules offered as part of an Integrated Masters or taught postgraduate degree programme;
• where the piece of work is awarded a mark below the threshold pass mark prior to any penalty being imposed, and is submitted up to three working days after the original deadline (or any formally agreed extension to the deadline), no penalty shall be imposed;
• where the piece of work is submitted more than three working days after the original deadline (or any formally agreed extension to the deadline): a mark of zero will be recorded.

Assessments marked Pass/Fail

• where the piece of work is submitted within three working days of the deadline (or any formally agreed extension of the deadline): no penalty will be applied;
• where the piece of work is submitted more than three working days after the original deadline (or any formally agreed extension of the deadline): a grade of Fail will be awarded.

The University policy statement on penalties for late submission can be found at: /cqsd/-/media/project/functions/cqsd/documents/qap/penaltiesforlatesubmission.pdf

You are strongly advised to ensure that coursework is submitted by the relevant deadline. You should note that it is advisable to submit work in an unfinished state rather than to fail to submit any work.

Formative assessment

Formative assessment is any task or activity which creates feedback (or feedforward) for you about your learning, but which does not contribute towards your overall module mark.

Data analysis practical

Workshop on behaviour change intervention development

Reassessment

Additional costs