Kaisa_2012_3_photo by Veikko Somerpuro

Enrol
2.5.2019 at 00:01 - 26.8.2019 at 23:59

Description

  • The Doctoral Programme in Population Health coordinates the course.
  • This is an optional course.
  • The course is part of the Field-Specific Studies module.
  • The course is available to students of other degree programmes
  • The course is aimed at DocPop PhD students and end-phase master´s students
  • Maximum number of participants is 20

Basic knowledge in epidemiology and research experience (e.g. thesis writing) is recommended.

2017: The course aims to give an overview of nutritional epidemiology with a strong emphasis on advanced methodologies and challenges (e.g. food composition databases, dietary assessment and analysis of dietary data, adjustment for total energy intake, validation studies, dietary pattern analysis, correction for measurement error, misreporting, dealing with multicollinearity, using short-term data in predicting long-term outcomes, loss to follow-up).

2019: After completing the course, the student

  • will recognize challenges related to nutritional epidemiological research (e.g. dietary assessment, analysis of dietary data and statistical approaches)
  • will master the premises of dietary assessment methods in general and in specific population groups
  • will be able to evaluate and discuss research findings from the view point of strengths and weaknesses related to dietary assessment and statistical approaches
  • will have gained experience in presenting research findings

The course can be completed at any stage of studies, organised in the autumn term (2017, 2019), not annually.

Course program

9.9.2019 DAY 1: Measuring diet
9.00-9.30 Welcome and introduction of speakers, course contents, and course
assignments
9.30-10.30 Measuring diet: revision of basic methods (Niina Kaartinen)
10.30-10.45 Break
10.45-11.30 Food composition databases (Niina Kaartinen)
11.30-12.30 Lunch
12.30-14.00 Keynote PhD Sari Niinistö: Finnish Type 1 Diabetes Prediction
and Prevention (DIPP) Study + discussion
14.00-14.15 Break
14.15-15.30 Student presentations
15.30-16.00 Why we eat what we eat: determinants of dietary intake (Leonie Bogl)
16.00-17.00 Summary of the day

10.9.2019 DAY 2: Statistics in Nutritional epidemiology
9.00-9.15 Orientation/motivation for today and revision of yesterday
9:15-10.30 Student presentations
10.15-10.30 Break
10.30-11.15 Adjusting in statistical analysis (Jukka Kontto)
11.15-12.00 Energy adjustment: theory and practice (Jukka Kontto/ Leonie Bogl/
Niina Kaartinen)
12.00-13.00 Lunch
13.00-13.45 Energy adjustment: theory and practice (Jukka Kontto/ Leonie Bogl/
Niina Kaartinen)
13.45-14.30 What is interaction? Practical approach (Noora Kanerva)
14.30-14.45 Break
14.45-16.00 Keynote prof. Mikael Fogelholm: Interactions between diet and lifestyle +
discussion
16.00-17.00 Summary of the day

11.9.2019 DAY 3: Whole diet and interactions with lifestyle
9.00-9.15 Orientation/motivation for today and revision of yesterday
9.15-10.30 Keynote PhD Emily Sonestedt: Diet-gene interactions + discussion
10.30-10.45 Break
10.45-12.00 Student presentations
12.00-13.00 Lunch
13.00-14.00 Basics of the whole diet approach (Noora Kanerva/ Leonie Bogl)
14.00-14.15 Break
14.15-15.15 Examples of the whole diet approach (Noora Kanerva/ Leonie Bogl)
15.15-16.00 Meta-analysis in nutrition research (Jukka Kontto)
16.00-17.00 Summary of the day

12.9.2019 DAY 4: Novel topics on nutrition
9.00-9.15 Orientation/motivation for today and revision of yesterday
9.15-10.15 Student presentations
10.15-10.30 Break
10.30-12.00 Lecturer and topic to be confirmed later on
12.00-13.00 Lunch
13.00-14.30 Keynote prof. Jaakko Nevalainen: Big data analysis: the LoCard project +
discussion
14.30-14.45 Break
14.45-16.00 Summary of the day & the course

  • Active participation in the course
  • Presentation of own research work or an article
  • Handing in (to moodle) an abstract (approx. 400 words) of the research work or article that is going to be presented during the course (deadline: 2.9.2019)
  • Each student will act as an assigned reviewer for 2 student presentations
  • More detailed instructions will be announced in moodle by July 2019.

Lecture attendance, learning diary, and student presentations

  • Pass/fail
  • 3 ECTS: lectures+ learning diary+presenting their own research project that includes nutritional data
  • Alternatively, the students may present a research or methods paper from the field of nutritional epidemiology in agreement with the course organizers.
  • Evaluation: Lecture attendance, learning diary, and student presentation

2017: Lecture attendance, learning diary, and student presentations

2019: Lectures, assignments defined on the course page

Kanerva Noora

Bogl Leonie-Helen

Kaartinen Niina

Kontto Jukka