Biology of nutrition

A.Y. 2015/2016
9
Max ECTS
72
Overall hours
SSD
ING-INF/06 MAT/06 MED/49
Language
Italian
Learning objectives
The benefits of a sound diet are most obvious both for acquiring and maintaining a health status and for training and competition performance, where nutrition strategies help athletes to perform their best by reducing or delaying the onset of factors that would otherwise cause fatigue. The aim of the course Biologia della nutrizione is therefore to illustrate the principles of healthy eating according to scientific documents, both national (LARN e Italian Guidelines) and international (EFSA) and for physical activity and sport. Examples of correct eating patterns for healthy adults will be presented and analyzed, together with that for the correct utilization of nutrients based on the sport classification. Benefits and harms of supplementation will be considered. Moreover, the methods for determining food requirements in the population and in the individual will be described.
The purpose of the course Analisi e modellistica predittiva dei dati is to introduce the main concepts of statistics applied to biomedical sciences. We will cover descriptive and inferential statistics, statistical hypothesis testing for the analysis of continuous and categorical variables, correlation and regression. The ability of linear and nonlinear regression to provide models useful for predictive purposes will be emphasized. Throughout the course, examples of the application of statistical techniques within a biomedical context will be given. The content of the course is divided into 12 lessons, two hours each. At the completion of the course, students will be more capable to interpret the results from statistical procedures used in the biomedical literature. In addition, they will have mastered the basics to select the appropriate methods to analyse the data collected during the course of their Master Thesis.
Course syllabus and organization

Unique edition

Lesson period
First semester
Modulo: biologia della nutrizione
Syllabus
Understand and apply the principles of LARN and EFSA
Know the methodology to estimate the basal expenditure and the energy requirements
Healthy diet for adults
Apply the methods of nutritional survey
Meet energy and fuel requirements needed to support training program
Enhance adaptation and recovery between training sessions by providing all the nutrients associated with these processes
Refuel and rehydrate well during each training session to perform optimally each session


Suggested books
Slides and papers supplied from Teachers


Prerequisites and exam evaluation
The exam of the Biologia della nutrizione units will be in oral form.


Recommended Prerequisites
Biochemistry, physiology, matematics.


Teaching methods
Lezioni ex cathedra

Language of instruction
Italian
Modulo: analisi e modellistica predittiva dei dati
Syllabus
Structure of a scientific paper and role of data analysis.
Descriptive statistics: tables, graphical plots, summary measures of central tendency and variability (mean, variance, standard deviation, median, percentiles, quartiles).
The Gaussian (a.k.a, as normal) distribution.
Notions of inferential statistics:
Hypothesis testing and statistical significance. Statistical errors of the first and second type.
How to compare a mean against a reference value: one-sample z test and t test
How to compare two means:
How to compare three or more means: the F distribution and ANOVA.
How to manage situations in which the data distribution is not normal: introduction to nonparametric statistics.
How to analyze the relationship between two variables by means of correlation analysis.
Predictive modelling: linear and nonlinear regression.
Categorical data analysis: the chi squared test.


Suggested books
Stanton A. Glantz. Primer of biostatistics. MacGraw-Hill.
Marc M. Triola and Mario F. Triola. Biostatistics for the biological and health sciences. Addison-Wesley.
David S. Moore. The basic practice of statistics. Freeman and Company.

Prerequisites and exam evaluation
The exam of Analisi e modellistica predittiva dei dati will be a written multiple-choice test comprising 31 questions (data analysis).


Recommended Prerequisites
Biochemistry, physiology, matematics.


Teaching methods
Lezioni ex cathedra


Language of instruction
Italian
Modulo: analisi e modellistica predittiva dei dati
ING-INF/06 - ELECTRONIC AND INFORMATICS BIOENGINEERING - University credits: 0
MAT/06 - PROBABILITY AND STATISTICS - University credits: 0
Lessons: 24 hours
Professor: Caumo Andrea
Modulo: biologia della nutrizione
MED/49 - FOOD AND DIETETIC SCIENCES - University credits: 6
Lessons: 48 hours
Professors: Ferraretto Anita, Fiorilli Amelia