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Background: Driving adolescents to more correct food habits and physical activity is crucial to promoting health and avoiding the increase in morbidity and mortality in adulthood. Literature has focused on these behaviors in the adult population, while studies on adolescents are more limited. This study aims to explore the level of knowledge, attitudes, and behaviors regarding nutrition and physical activity to acquire insight into adolescents and identify the associated predictors.

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Non-monotonic psychometric functions for α-ionone in young adults.

Physiol Behav

November 2024

Smell & Taste Center, Department of Otorhinolaryngology: Head and Neck Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA. Electronic address:

The mathematical relationship between the ability to detect an odorant and its concentration appears for some odorants to be non-monotonic, with reversals ("notches") in performance appearing at points along the psychometric function. Like visual adaptation curves that reflect the differential sensitivities of cones and rods, such reversals may provide information about underlying olfactory receptor processes. However, the presence of such reversals is rarely acknowledged, few participants and odorants have been tested, and methodological concerns abound.

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Objective: The current study investigated the factors that predict drowsy drivers' decisions regarding whether to take breaks versus continue driving during long simulator drives.

Background: Driver drowsiness contributes to substantial numbers of motor vehicle crashes, injuries, and deaths. Previous research has shown that taking a nap and consuming caffeine can temporarily mitigate drowsiness and enable continued safe driving.

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Identity disturbance is increasingly considered to drive personality disorder (PD) onset. Previous research has investigated how identity relates to PD using either self-report scales or narratives to assess identity. Few studies have investigated how both operationalizations relate to one another and to models of PD.

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Purpose: Prediction of athlete wellness is difficult-or, many sports-medicine practitioners and scientists would argue, impossible. Instead, one settles for correlational relationships of variables gathered at fixed moments in time. The issue may be an inherent mismatch between usual methods of data collection and analysis and the complex nature of the variables governing athlete wellness.

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