Within each BMI class, the presence of impaired fasting glucose, and to a greater extent diabetes mellitus, identified subgroups of individuals with a marked increase in the risk of concomitant chronic conditions.
Our findings show that compared to normo-weight patients, the obese generate the largest cost differential over the entire life cycle, while the overweight spends less than the normo-weight, mainly because of savings generated starting from early middle age onward
the consortium’s research will use longitudinal cohorts and biobanks spanning the entire life course to explore how a person ages with multi-morbidity, which means having two or more long-term health conditions, and how it could be prevented.
Data relative to 991,917 adults were analyzed. Annual per capita expenditure rose from 252.2 Euro among individuals with normal weight to 752.9 Euro among those with class 3 obesity
The GRINS AMELIA will offer tools to support fundamental and applied research for firms and households and for policy analysis and evaluation of the actions of public administrations, create knowledge and transfer it to private and public actors as well as to the national system of research.
The main concept behind Obelisk, is dedicated to understanding, Predicting, and Preventing obesity in children and providing Precision medicine for those affected. The 4P’s approach of Obelisk involves active Participation from all stakeholders including families, scientific and medical communities, daycare centres, schools, policymakers, and industry, to drive social innovation and achieve successful outcomes.
We study the interplay between mobility, measured with anonymized mobile phone data, and mental health and report no significant effect of mobility restrictions on antidepressants and anxiolytics purchases in 2020.
Using the Future Elderly Model, we simulate longevity and disability over the remaining lifetime for cohorts of older Europeans and Americans. We see that investment in both treatment and prevention for chronic conditions couls lead to major gains in Life Expectancy
Exposures to the environment such as air and noise pollution and social situation react with genetic factors. With an ‘exposome’ approach we study and measure how exposure to these environmental factors contribute to the risk of developing diseases through a person’s life.
We partition the standard contiguity matrix in two matrices (within and between), disentangling the overall spatial effect and deriving testable implications. In the application we study expenditures from the Italian Local Health Authority using spatial panel