Seminario Scuola Specializzazione Statistica Sanitaria e Biometria 11/12/24 16:00
Seminario Scuola Specializzazione Statistica Sanitaria e Biometria
Prof.ssa Valeria Edefonti, Università degli Studi di Milano
Dietary patterns and disease: the role of dietary indexes and
multivariate statistics in shaping dietary recommendations
Abstract: Suboptimal diet has recently surpassed smoking as the leading risk factor for
morbidity and mortality from noncommunicable diseases. Although diet may not inherently
be as a strong risk factor for specific chronic diseases as others, limitations in data collection
and analysis paradigms may contribute to a reduced ability to identify these effects
accurately. Challenges include accurate and precise measurement of diet, appropriately
modelling diet complexity, and residual confounding. In the lack of information on the
relationship between exposure, confounders, and disease, current approaches in nutritional
epidemiology include: 1) monitoring diet using traditional tools prone to well-known
limitations; 2) tackling known interactions among foods/nutrients (i.e. nonadditivity) using
standard approaches to the analysis of dietary patterns; 3) relating each of dietary patterns
and confounders to disease risk in a linear way; 4) not modelling interactions between
dietary patterns and confounders. Novel statistical and machine learning approaches may
be used to improve on data collection and analysis paradigms. In this talk, we will specifically
explore current and novel statistical approaches to the analysis of a posteriori dietary
patterns. These patterns, derived by using multivariate statistics, more accurately reflect
actual dietary behaviors in free-living populations. A key aspect of our discussion will be the
reproducibility of a posteriori dietary patterns across different studies, populations, and
countries. This reproducibility is crucial for providing robust epidemiological evidence to
support the development of national and international dietary guidelines and for shaping
effective public health messages.
Email per ulteriori informazioni : luigi.palla@uniroma1.it
MercoledÍ 11 Dicembre 2024, ore 16:00
Aula C1, Dipartimento Sanità Pubblica e
Malattie Infettive, Istituto Sanarelli
(CU015), piazzale Aldo Moro 5, ROMA