Developing a risk assessment tool for insulin resistance in European adolescents: the HELENA-IR score.

Objectives: To develop and validate an easy-to-use screening tool for identifying adolescents at high-risk for insulin resistance (IR).

Methods: Α total of 1,053 adolescents (554 females), aged 12.5 to 17.

Towards a Semi-Automatic Early Warning System for Vector-Borne Diseases.

The emergence and spread of vector-borne diseases (VBDs) is a function of biotic, abiotic and socio-economic drivers of disease while their economic and societal burden depends upon a number of time-varying factors. This work is concerned with the development of an early warning system that can act as a predictive tool for public health preparedness and response. We employ a host-vector model that combines entomological (mosquito data), social (immigration rate, demographic data), environmental (temperature) and geographical data (risk areas).

Cardiorespiratory fitness is associated with body composition and insulin resistance in European adolescents: HELENA study.

Background: The present study aimed to examine the independent association between cardiorespiratory fitness, sedentary time and insulin resistance in European adolescents.

Methods: A subset (N.=1097) of a large multicenter European study (HELENA-CSS study) was used in the present study.

Elucidating fitness components of the invasive dermestid beetle Trogoderma granarium combining deterministic and stochastic demography.

The invasive dermestid khapra beetle, Trogoderma granarium, is an important pest of stored products that is subject to strict phytosanitary measures. In this study, we conducted a demographic analysis of this species at 30, 35 and 40°C, combining deterministic and stochastic approaches. The net reproductive rate, the intrinsic rate of increase, the finite rate of increase and the doubling time did not differ significantly between 30 and 35°C, while at 40°C we detected negative values of the intrinsic rate of increase and the doubling time.