PhD in Nutrigenomics and Personalised Nutrition

Academic year 2024-25

See the pre-registration, admission and registration deadlines for the 2024-25 academic year.
You may also check this information for the 2023-24 academic year.

Degree data and benchmarks

Below are the main data and benchmarks, as well as the results of the satisfaction surveys for the degree programme, which are periodically analysed and monitored by the centre administrator, the head of studies and the corresponding quality assurance commissions, with a view to promoting the ongoing improvement of the programme.

 

Satisfaction of groups involved

Satisfaction index

 
2019-20 2020-21 2021-22 2022-23 2023-24
Student satisfaction 3,60 - 3,66 4,00 3,56
PDI satisfaction 4,00 3,85 3,71 4,00 3,42
PAS satisfaction 3,00 - - - 3,00

Description

Student, PDI and PAS satisfaction levels are rated on a scale of 1 to 4, where 1 means ‘not at all satisfied’ and 4 means ‘very satisfied’. They are obtained from the following surveys:

  • Survey of student satisfaction with the study programme (yearly)
  • Survey of satisfaction and identification of needs of teaching and research staff (PDI) (yearly)
  • Biennial survey of satisfaction and identification of needs of administrative and service staff (PAS) who have supported undergraduate and postgraduate studies.

 

Survey participation rates

 
2019-20 2020-21 2021-22 2022-23 2023-24
Student participation rate 50 % 43 % 67 % 44 % 24 %
PDI participation rate 67 % 78 % 78 % 75 % 33 %
PAS participation rate 50 % - - - 47 %

Description

Only the data that meet a double criterion of representativeness have been considered valid: on one hand, reaching 4 answered surveys and, on the other hand, that the number of answered surveys is equal to or greater than 15% of the population

Thesis

Link to the institutional repository (DSPACE)

Year Thesis
2023
  • Influence of maternal nutritional conditions and milk bioactive compounds on metabolic programming of the offspring
2022
  • Identification of transcriptomic biomarkers in human blood cells for the prevention and management of obesity-related metabolic alterations
  • Industrial research focused on developing innovative strategies to address metabolic syndrome
2021
  • Effects of pectin supplementation on metabolic programming
2020
  • Investigación industrial dirigida al desarrollo de conocimiento para avalar nuevos productos alimenticios. Enfoque en su aplicabilidad en función del genotipo, necesidades nutricionales específicas y poblaciones diana.
  • Regulación de la programación e interrelaciones metabólicas del tejido adiposo por nutrientes bioactivos
2019
  • Estudio Nutrigenético de la Obesidad en la población de Mallorca
  • Perinatal role of leptin and its interaction with bioactive compounds related to one carbon metabolism: a nutrigenomics approach
2018
  • An emerging approach using blood cells as an in vivo and in vitro tool to assess the impact of food on health
  • Estudio del cinamaldehído y el eugenol como compuestos potencialmente bioactivos en el control de la obesidad y alteraciones asociadas
  • Factores determinantes y mecanismos en la programación metabólica de una dieta obesogénica
2017
  • Nuevos mecanismos y biomarcadores de la interacción de la vitamina A con el metabolismo lipídico y energético y su papel en la programación metabólica
2016
  • Identificación de alteraciones metabólicas y marcadores moleculares asociados a la ingesta prolongada de dietas desequilibradas
  • New metabolic aspects of Leptin: muscle cell activity and biological rhythms

Scientific production