10 research outputs found

    La culture dans le programme du Président

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    « Par l’école, le travail, la culture nous construirons un avenir meilleur. » C’est ce qu’a dĂ©clarĂ© Emmanuel Macron lors de son allocution avant de rejoindre l’esplanade du Louvre, ancienne rĂ©sidence royale devenue le plus grand musĂ©e de France, pour fĂȘter sa victoire. Le 7 mai 2017, les français se sont dĂ©placĂ©s aux urnes pour Ă©lire le nouveau prĂ©sident de la RĂ©publique, Emmanuel Macron. La culture et le livre, souvent absents des dĂ©bats politiques pendant cette campagne, ont nĂ©anmoins trou..

    Rue du monde fĂȘte ses 20 ans !

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    À l’occasion de Grains de sel, festival du livre et de la parole d’enfant, qui se tient chaque annĂ©e au mois de novembre Ă  Aubagne, la maison d’édition indĂ©pendante Rue du monde a cĂ©lĂ©brĂ© sa vingtiĂšme annĂ©e d’existence. FondĂ©es en 1996 par Alain Serres, Ă©galement auteur au sein de la maison, les Ă©ditions Rue du monde ont cĂ©lĂ©brĂ© leurs 20 ans durant l’évĂšnement, qui a rĂ©uni ce dernier  et plusieurs de ses auteurs comme Laurent Corvaisier, Judith Gueyfier, François Place, RaphaĂ«le Frier et Carl..

    Co-occurrence of habit-forming risk behaviors and their socio-demographic, health status and lifestyle determinants: a population-based cross-sectional study

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    Abstract Background Although habit-forming risk behaviors frequently co-occur, determinants of concurrent risk behaviors have rarely been investigated. The aim of the present study was to investigate socio-demographic, health status, and lifestyle determinants of single versus concurrent risk behaviors in general-population adults. Methods We analyzed data from 32,622 participants (74.5% female; mean age = 57.9 ± 14.2 years) of the NutriNet-SantĂ© cohort who completed the Alcohol Use Disorders Identification Test, the 12-item Cigarette Dependence Scale, the modified Yale Food Addiction Scale 2.0, and the Internet Addiction Test in 2021–2022. Using established cutoffs, participants were first split into 2 groups (presence versus absence) for each risk variable (alcohol use disorders, nicotine dependence, food addiction, Internet addiction) and were then divided into 3 groups (no risk behavior, 1 risk behavior (reference), and ≄ 2 risk behaviors). The association between socio-demographic, health status, and lifestyle exposures and individual/concurrent risk behaviors were investigated with polytomous logistic regression. Results Younger age (Odds Ratio (OR) = 2.04; 95% Confidence Interval (CI: 1.62–2.56), current financial difficulties (OR = 1.29; CI: 1.08–1.54), self-perceived poor health (OR = 1.70; CI: 1.32–2.20), overall poor dietary quality (OR = 2.88; CI: 2.06–4.02), being underweight (OR = 1.46; CI: 1.05–2.04), having obesity (OR = 1.62; CI: 1.31–1.99), lack of affection during childhood (OR = 1.41; CI: 1.18–1.69), and a lifetime prevalence or medication use for a mental disorder (OR = 1.46; CI: 1.24–1.73) were positively associated with having ≄ 2 versus 1 risk behavior (all p < 0.05). The comparison of none versus 1 risk behavior revealed the same determinants in addition to having a higher education, being physically active at work, and being overweight. Conclusions We investigated determinants of concurrent habit-forming risk behaviors among adults in a large, population-based study. The findings could serve as impetus for future research in this domain and ultimately help guide addiction prevention efforts

    Associations of overall and specific carbohydrate intake with anxiety status evolution in the prospective NutriNet-Santé population-based cohort

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    Abstract We investigated the association between carbohydrate intake and anxiety evolution within the general-population NutriNet-SantĂ© cohort (N = 15,602; 73.8% female; mean age = 53.8y; mean follow-up = 5.4y). Carbohydrate intake was estimated at baseline from ≄ 2 24-h dietary records. Trait anxiety (STAI-T) was measured once at baseline (2013–2016) and once at follow-up (2020), resulting in 4 groups: “None” = absence of high anxiety (STAI-T > 40 points) at any time point; “Transient” = high anxiety only at baseline; “Onset at follow-up” = high anxiety only at follow-up; “Persistent” = high anxiety at baseline and follow-up. Polytomous logistic regression models revealed that sweetened beverage intake was associated with higher odds of “Transient” anxiety (OR Q4vsQ1 = 1.11; 95% CI 1.02–1.21). Intake of complex carbohydrates (OR Q4vsQ1 = 1.12; 1.01–1.25) was associated with higher odds of anxiety “Onset at follow-up.” The % energy from carbohydrates (OR Q4vsQ1 = 1.11; 1.03–1.19), intakes of total carbohydrates (OR Q4vsQ1 = 1.10; 1.03–1.18) and complex carbohydrates (OR Q4vsQ1 = 1.09; 1.02–1.17) were associated with higher odds of “Persistent” anxiety, whereas 100% fruit juice intake showed lower odds of “Persistent” anxiety (OR Q4vsQ1 = 0.87; 0.81–0.94). This prospective study found significant associations between dietary carbohydrate intake and anxiety status evolution among French adults. The findings could help inform dietary interventions aimed at anxiety prevention and management

    Chronic insomnia, high trait anxiety and their comorbidity as risk factors for incident type 2 diabetes mellitus

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    International audienceAbstract The main objective of this study was to evaluate the association of the insomnia-anxiety comorbidity with incident type 2 diabetes (T2D) in a large prospective cohort. We selected adults without diabetes at baseline from the French NutriNet-SantĂ© cohort who had completed the trait anxiety subscale of the Spielberger State-Trait Anxiety Inventory (STAI-T, 2013–2016) and a sleep questionnaire (2014); insomnia was defined according to established criteria. Using multivariable Cox models, we compared T2D risk across 4 groups: no insomnia or anxiety (reference), insomnia alone, anxiety alone (STAI-T ≄ 40), and comorbid anxiety and insomnia. Among 35,014 participants (mean baseline age: 52.4 ± 14.0 years; 76% women), 378 (1.1%) developed T2D over a mean follow-up of 5.9 ± 2.1 years. Overall, 28.5% of the sample had anxiety alone, 7.5%—insomnia alone, and 12.5%—both disorders. In the fully-adjusted model, a higher T2D risk was associated with anxiety-insomnia comorbidity (HR = 1.40; 95% CI 1.01, 1.94), but not with each disorder separately, compared to the group without insomnia or anxiety. The findings supported a positive association between anxiety-insomnia comorbidity and incident T2D among general-population adults. Future research using clinical diagnoses of mental disorders could confirm the findings and guide diabetes prevention programs
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