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Profiles of intuitive eating in adults: the role of self-esteem, interoceptive awareness, and motivation for healthy eating

ObjectiveIntuitive eating is an eating behavior that has recently come to use mainly in the young population. Knowing that the Lebanese cultural diet differs from other countries, the purpose of this study was to investigate if there is a relationship between self-esteem, interoceptive awareness, and motivation for healthy eating in a sample of Lebanese adults using a Latent Profile Analysis approach.DesignCross-sectional study.SettingLebanese governorates.Participants359 Lebanese participants enrolled in this study (mean age: 22.75 ± 7.04 years, 40.1% males), through convenience sampling in several Lebanese governorates. Participants were asked to fill anonymously the following scales: The Intuitive Eating Scale (IES-2), the Rosenberg Self-Esteem Scale, the Multidimensional Assessment of Interoceptive Awareness Scale (MAIA), and the Motivation for Healthy Eating Scale (MHES).ResultsOur findings revealed four profiles: profile 1 (n = 67; 18.66%) characterized by high SE and intermediate interoceptive awareness and motivation for healthy eating; profile 2 (n = 86; 23.97%) presented high SE, interoceptive awareness, and motivation for healthy eating; profile 3 (n = 86; 23.96%) characterized by high SE, interoceptive awareness, and motivation for healthy eating; class 4 (n = 108; 30.08) described by low SE, intermediate interoceptive awareness, and motivation for healthy eating One-way analysis of variance did not observe a significant difference between the four profiles based on intuitive eating (F = 1.810; p = 0.145; ɳp2 = 0.015).ConclusionsAmong a sample of Lebanese people, four profiles of interoceptive awareness, motivation for healthy eating, and self-esteem were observed, with no difference concerning intuitive eating.

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Open Access
Biocide and other semi-volatile organic compound concentrations in settled indoor dust of CRESPI daycare centers and implication for public health

This study investigates the presence of biocides and other semi-volatile organic compounds (SVOCs) in cleaning products used in daycare centers and health impact through ingestion of settled dust by young children. In Paris metropolitan area, 106 daycares area were investigated between 2019-2022. Fifteen substances were analyzed in settled indoor dust by gas chromatography-tandem mass spectrometry. Detection rates and concentrations ranged from 5 to 100%, and <LOD to 14,267ng/g, respectively. Galaxolide and benzophenone showed highest median concentration respectively 884ng/g and 819ng/g. The daily intakes (DI) of the substances through settled dust ingestion were evaluated and compared to those from food, inhalation, and dermal contact reported in the literature. Daily intakes from settled dust for musks, triclosan, geraniol, benzophenone, 2-phenylphenol, bifenthrin, and 4-n-nonylphenol were lower than those reported in the literature. The proportion of dust ingestion to total DI was negligible, except for benzophenone (DI=34%) for children aged 3 to 11 months. The DIs were well below the respective toxicological reference values for isothiazolinones, 4-tert-butylphenol, chlorocresol, and diclosan. Our results suggest that exposure to these biocides and the other SVOCs, taken individually, by dust ingestion in daycares, is not a major public health concern. Benzophenone, presumed carcinogen for humans, may require further investigation because of its presence in several daycares.

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Induction of human hepatic cytochrome P-450 3A4 expression by antifungal succinate dehydrogenase inhibitors

Succinate dehydrogenase inhibitors (SDHIs) are widely-used fungicides, to which humans are exposed and for which putative health risks are of concern. In order to identify human molecular targets for these agrochemicals, the interactions of 15 SDHIs with expression and activity of human cytochrome P-450 3A4 (CYP3A4), a major hepatic drug metabolizing enzyme, were investigated in vitro. 12/15 SDHIs, i.e., bixafen, boscalid, fluopyram, flutolanil, fluxapyroxad, furametpyr, isofetamid, isopyrazam, penflufen, penthiopyrad, pydiflumetofen and sedaxane, were found to enhance CYP3A4 mRNA expression in human hepatic HepaRG cells and primary human hepatocytes exposed for 48 h to 10 µM SDHIs, whereas 3/15 SDHIs, i.e., benzovindiflupyr, carboxin and thifluzamide, were without effect. The inducing effects were concentrations-dependent for boscalid (EC50=22.5 µM), fluopyram (EC50=4.8 µM) and flutolanil (EC50=53.6 µM). They were fully prevented by SPA70, an antagonist of the Pregnane X Receptor, thus underlining the implication of this xenobiotic-sensing receptor. Increase in CYP3A4 mRNA in response to SDHIs paralleled enhanced CYP3A4 protein expression for most of SDHIs. With respect to CYP3A4 activity, it was directly inhibited by some SDHIs, including bixafen, fluopyram, fluxapyroxad, isofetamid, isopyrazam, penthiopyrad and sedaxane, which therefore appears as dual regulators of CYP3A4, being both inducer of its expression and inhibitor of its activity. The inducing effect nevertheless predominates for these SDHIs, except for isopyrazam and sedaxane, whereas boscalid and flutolanil were pure inducers of CYP3A4 expression and activity. Most of SDHIs appear therefore as in vitro inducers of CYP3A4 expression in cultured hepatic cells, when, however, used at concentrations rather higher than those expected in humans in response to environmental or dietary exposure to these agrochemicals.

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Open Access
Prevalence of occupational co-exposure to biomechanical factors and neurotoxic chemicals in French workers.

Little is known about occupational co-exposure. The objective was to assess the prevalence of exposure and co-exposure to biomechanical factors and neurotoxic chemicals in French workers in 2017. Data from the French representative survey SUMER 2017 (SUrveillance Médicale des Expositions aux Risques professionnels) were analyzed. A total of 25 118 workers were included. Exposure to 4 biomechanical factors (manual handling of loads, forceful joint exertion, repetitive movements, and hand-arm transmitted vibrations) and 18 neurotoxic chemicals (n-hexane, perchloroethylene, trichloroethylene, etc.) were assessed using a questionnaire during face-to-face interviews with occupational physicians. Among men, 22.9% were exposed to at least one biomechanical factor and 10.2% were exposed to at least one neurotoxic chemical, mainly single exposures. Among women, 10.8% were exposed to at least one biomechanical factor and 3.1% were exposed to at least one neurotoxic chemical, also mainly single exposures. Occupational co-exposure to biomechanical factors and neurotoxic chemicals was observed among 4.8% of men and 0.7% of women. Workers under 30 yr old, blue-collar workers and those working in small companies were more co-exposed than other workers. In men, the prevalence of co-exposure was higher in the construction sector compared to other economic activities. This study stresses the importance of considering multiple occupational exposures while the current prevention measures are designed to focus on preventing occupational factors individually.

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The culture of doubt: Do medical students really experience clinical uncertainty when they should?

Uncertainty is a fundamental aspect of medical practice, necessitating incorporation into undergraduate medical training. The integrative model of uncertainty tolerance (UT) developed by Hillen and Han serves as a comprehensive framework for exploring clinical uncertainty. While studies have extensively examined UT dimensions, including sources, responses, and moderators, the factors influencing the perception of uncertainty stimuli remain underexplored. However, students’ ability to perceive uncertainty and their approach to uncertain stimuli play a crucial role in enabling them to develop adaptive responses to uncertainty, necessary for their comfort in these situations. Defining uncertainty as a metacognitive state suggests significant variability in its perception among individuals and within an individual over time. Moreover, several studies have demonstrated the substantial influence of various individual and contextual factors on how individuals perceive and respond to uncertainty. In this paper, the authors present multiple hypotheses to address the question of whether students genuinely perceive uncertainty stimuli when they should. The authors argue that students’ personal relationship with their knowledge is essential in their ability to identify clinical uncertainty, particularly concerning the limits of medical knowledge. Therefore, they propose that an academic culture fostering doubt, through exposing students to a variety of perspectives, would enhance their ability to identify uncertainty zones in a clinical situation at an early stage. Drawing on Dewey’s situational theory, the authors emphasize the importance of better understanding, in a work setting, the influence of contextual and situational characteristics on individual perceptions of uncertainty. In line with this idea, ethnographic studies would offer valuable insights into identifying the relationship between the students, their work environment, and their perception of clinical uncertainty.

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Bayesian framework for multi-source data integration-Application to human extrapolation from preclinical studies.

In preclinical investigations, for example, in in vitro, in vivo, and in silico studies, the pharmacokinetic, pharmacodynamic, and toxicological characteristics of a drug are evaluated before advancing to first-in-man trial. Usually, each study is analyzed independently and the human dose range does not leverage the knowledge gained from all studies. Taking into account all preclinical data through inferential procedures can be particularly interesting in obtaining a more precise and reliable starting dose and dose range. Our objective is to propose a Bayesian framework for multi-source data integration, customizable, and tailored to the specific research question. We focused on preclinical results extrapolated to humans, which allowed us to predict the quantities of interest (e.g. maximum tolerated dose, etc.) in humans. We build an approach, divided into four steps, based on a sequential parameter estimation for each study, extrapolation to human, commensurability checking between posterior distributions and final information merging to increase the precision of estimation. The new framework is evaluated via an extensive simulation study, based on a real-life example in oncology. Our approach allows us to better use all the information compared to a standard framework, reducing uncertainty in the predictions and potentially leading to a more efficient dose selection.

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Open Access