19 research outputs found

    Meslot, Gauchet, Hagger, Chatizarantis, Lehmann, & Allenet (2016)

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    Etude des facteurs et des interventions basées sur le planning comportements de santé : applications à l'activité physique et à l'adhésion médicamenteuse

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    Individuals do not always enact their intentions into behaviours, which may lead to severe outcomes especially in health-related fields. Self-regulation strategies, like cuedependent plans interventions, have shown efficiency to help to counter the intentionbehaviour gap. Yet, no review has been realised recently to bring a qualitative and quantitative analyses of this effect.Firstly, we carried out a qualitative review to evaluate the effectiveness of cuedependent planning intervention to increase health-related behaviours. We included 329 studies with experimental and prospective designs that measured or evaluated the effect of cue-dependent plans (e.g. implementation intention, action planning, coping planning) on health-related behaviours, among general, clinical and student population. The qualitative analysis revealed for instance that implementation intentions were used in majority, even if the if-then format was not systematically adopted. However, we oticed confusion between the terminologies of the plans and the theories. A quantitative review will be realised to evaluate the effect size and the moderators that could magnify or diminish the effects of cuedependent planning interventions on health-related behaviours. Second, we presented two studies that tested the effectiveness of cue-dependent planning interventions on physical activity, which was the most represented health outcome in cue-dependent planning interventions, according to our review. Motivational (mental simulation) and volitional (implementation intention) interventions were combined to promote physical activity participation. The first study, adopting a cluster randomised controlled trial design among students, did not show any significant effect neither of the mental simulation plus implementation intention intervention, nor of the implementation intention intervention compared to the control condition. The second study adopted a more rigorous methodology with a full-factorial randomised controlled design, with a larger sample and objective measures of physical activity (attendance to gym centre). Nevertheless, the study revealed no statistically significant main or interactive effects of the mental simulation and implementation intention conditions on physical activity outcomes. Findings were not in line with previous research that showed effects of cue-dependent plans to promote physical activity. This adds to the necessity of identifying the moderators of these interventions in health behaviours.Thirdly, cue-dependent planning interventions are needed in illness behaviours. In chronic disease, non-adherence to medication is a public health problem that can lead to negative health outcomes. Even if the patients want to take their treatment, they may, for instance, forget it and fail to enact the behaviour. We tested the ability of an intervention adopting implementation intention and coping planning to promote medication adherence. In a randomized controlled trial, outpatients with cardiovascular diseases were randomly allocated to either an implementation intention and coping planning condition, or to a noplanning control condition. Findings revealed no significant effect of the intervention on medication adherence. However, post hoc moderator analyses showed that the beliefs moderated the effect of the intervention, which was effective in patients with lower necessity beliefs compared to those with higher necessity beliefs. The design used in the study did not enable to test the direct an interactive effect on medication adherence, so it would be necessary to replicate these findings with a full factorial design among patients with cardiovascular diseases.L'auteur n'a pas fourni de résumé en françai

    Health behaviours strategies promotion : cue-dependent planning interventions and factors

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    L'auteur n'a pas fourni de résumé en françaisIndividuals do not always enact their intentions into behaviours, which may lead to severe outcomes especially in health-related fields. Self-regulation strategies, like cuedependent plans interventions, have shown efficiency to help to counter the intentionbehaviour gap. Yet, no review has been realised recently to bring a qualitative and quantitative analyses of this effect.Firstly, we carried out a qualitative review to evaluate the effectiveness of cuedependent planning intervention to increase health-related behaviours. We included 329 studies with experimental and prospective designs that measured or evaluated the effect of cue-dependent plans (e.g. implementation intention, action planning, coping planning) on health-related behaviours, among general, clinical and student population. The qualitative analysis revealed for instance that implementation intentions were used in majority, even if the if-then format was not systematically adopted. However, we oticed confusion between the terminologies of the plans and the theories. A quantitative review will be realised to evaluate the effect size and the moderators that could magnify or diminish the effects of cuedependent planning interventions on health-related behaviours. Second, we presented two studies that tested the effectiveness of cue-dependent planning interventions on physical activity, which was the most represented health outcome in cue-dependent planning interventions, according to our review. Motivational (mental simulation) and volitional (implementation intention) interventions were combined to promote physical activity participation. The first study, adopting a cluster randomised controlled trial design among students, did not show any significant effect neither of the mental simulation plus implementation intention intervention, nor of the implementation intention intervention compared to the control condition. The second study adopted a more rigorous methodology with a full-factorial randomised controlled design, with a larger sample and objective measures of physical activity (attendance to gym centre). Nevertheless, the study revealed no statistically significant main or interactive effects of the mental simulation and implementation intention conditions on physical activity outcomes. Findings were not in line with previous research that showed effects of cue-dependent plans to promote physical activity. This adds to the necessity of identifying the moderators of these interventions in health behaviours.Thirdly, cue-dependent planning interventions are needed in illness behaviours. In chronic disease, non-adherence to medication is a public health problem that can lead to negative health outcomes. Even if the patients want to take their treatment, they may, for instance, forget it and fail to enact the behaviour. We tested the ability of an intervention adopting implementation intention and coping planning to promote medication adherence. In a randomized controlled trial, outpatients with cardiovascular diseases were randomly allocated to either an implementation intention and coping planning condition, or to a noplanning control condition. Findings revealed no significant effect of the intervention on medication adherence. However, post hoc moderator analyses showed that the beliefs moderated the effect of the intervention, which was effective in patients with lower necessity beliefs compared to those with higher necessity beliefs. The design used in the study did not enable to test the direct an interactive effect on medication adherence, so it would be necessary to replicate these findings with a full factorial design among patients with cardiovascular diseases

    Enhancing radar maritime surveillance in coastal areas using DTM

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    Trouble du déficit de l'attention avec ou sans hyperactivité et tabagisme en milieu carcéral

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    International audienceIntroduction :Les personnes souffrant de Trouble du DĂ©ficit de l’Attention avec ou sans HyperactivitĂ© (TDAH) prĂ©sentent un risque accru de consommer du tabac (Lee et al., 2011) et ont gĂ©nĂ©ralement un profil tabagique plus sĂ©vĂšre qu'en population gĂ©nĂ©rale (VanAmsterdam et al., 2018). En population incarcĂ©rĂ©e, on observe une prĂ©valence du TDAH et du tabagisme plus Ă©levĂ©e qu’en population gĂ©nĂ©rale(Jacomet et al., 2016 ; Young & Cocallis, 2019). Notre objectif est de vĂ©rifier si la consommation de tabac est plus sĂ©vĂšre chez les dĂ©tenus prĂ©sentant une symptomatologie du TDAH.MĂ©thode :Nous avons Ă©valuĂ© les variables suivantes :Consommation de tabac (auto-rapportĂ©e), dĂ©pendance Ă  la nicotine (FTND), intensitĂ© du craving (FTCQ), motivation Ă  l'arrĂȘt du tabac (Q-MAT), symptomatologie actuelle du TDAH (ASRS) et dans l’enfance (WURS).Nous avons effectuĂ© des comparaisons statistiques entre les individus probablement atteints d'un TDAH et ceux ne prĂ©sentant probablement pas de TDAH. Pour cela, les participants ont Ă©tĂ© classĂ©s dans le groupe "TDAH" seulement s'ils ont obtenu un score supĂ©rieur aux scores seuils dĂ©finis pour l'ASRS et la WURS.RĂ©sultats :Le groupe TDAH a prĂ©sentĂ© un Ăąge de dĂ©but de consommation rĂ©guliĂšre de tabac significativement plus faible que le groupe sans TDAH (U=275 ; p=0.019). De plus, les individus dĂ©pistĂ©s avec un TDAH ont affichĂ© un score total moyen significativement plus Ă©levĂ© Ă  la FTND que le groupe sans TDAH (U=262 ; p=0.012). Cette tendance s'est Ă©galement observĂ©e pour le score total moyen obtenu Ă  la FTCQ-12 (U=288 ; p=0.029). Cependant, aucune diffĂ©rence significative n'a Ă©tĂ© constatĂ©e au niveau du score total obtenu Ă  la Q-MAT (U=402 ; p=0.400)et au nombre moyen de cigarettes fumĂ©es par jour (U=247 ;p=0.076).RĂ©sultats :Nos rĂ©sultats indiquent une plus grande sĂ©vĂ©ritĂ© de la consommation de tabac chez les dĂ©tenus prĂ©sentant des symptĂŽmes du TDAH. Ces observations soulignent l'importance du dĂ©pistage du TDAH et de l'adaptation des interventions pour la consommation de tabac en milieu carcĂ©ral lorsque des symptĂŽmes du TDAH sont prĂ©sents

    Sévérité de la consommation de tabac et symptÎmes anxieux et dépressifs en milieu carcéral

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    International audienceIntroduction : Les troubles anxieux et dĂ©pressifs sont des comorbiditĂ©s frĂ©quentes du trouble de l’usage du tabac (Himle, Thyer &Fischer, 1988 ; Breslau et al., 1911). Ces troubles impactent l’initiation, le maintien et l’arrĂȘt du tabagisme. De plus, leur sĂ©vĂ©ritĂ© est positivement corrĂ©lĂ©e avec le niveau de dĂ©pendance (Morrell & Cohen, 2006).En milieu carcĂ©ral, la prĂ©valence du tabagisme et des troubles anxieux et dĂ©pressifs est beaucoup plus Ă©levĂ©e qu’en population gĂ©nĂ©rale (Fovet et al., 2020 ; Jacomet el al., 2016). L’objectif de cette Ă©tude est de vĂ©rifier si la sĂ©vĂ©ritĂ© des symptĂŽmes anxieux et dĂ©pressifs est associĂ©e Ă  l’intensitĂ© de la consommation de tabac chez une population incarcĂ©rĂ©e.MĂ©thode : 91 hommes consommateurs de tabac ont Ă©tĂ© Ă©valuĂ©s Ă  leur arrivĂ©e Ă  la maison d’arrĂȘt Paris-La SantĂ©. Nombre de cigarettes consommĂ©es par jour (auto-rapportĂ©es). Nous avons Ă©valuĂ© les variables suivantes : - DĂ©pendance Ă  la nicotine : Fagerström Test for Nicotine Dependence (FTND),- IntensitĂ© du craving : French Tobacco Craving Questionnaire(FTCQ-12),- Motivation Ă  l'arrĂȘt du tabac : Questionnaire de Motivation Ă  l'ArrĂȘt du Tabac (Q-MAT),- Symptomatologie anxieuse et dĂ©pressive actuelle : Hospital and Anxiety and Depression Scale, HADS).RĂ©sultats : Les participants ont obtenu un score moyen Ă  l’HAD-anxiĂ©tĂ© de 7,75 (σ =5,01) et Ă  l’HAD-dĂ©pression de 4,67 (σ = 3,89). 28 individus ont dĂ©passĂ© le score seuil de l’HAD (score ≄ 11 : symptomatologie certaine) pour la dimension anxiĂ©tĂ© (30,77%), et 6 l’ont Ă©galement dĂ©passĂ© pour la dimension dĂ©pression (6,59%). Nous avons observĂ© une corrĂ©lation positive significative entre le score total obtenu Ă  l’HAD-anxiĂ©tĂ© et le score total obtenu Ă  la FTND (r = 0,29 ; p < 0,001) ainsi qu’avec le score total Ă  la FTCQ (r = 0,35 ; p < 0,001). Nous avons Ă©galement constatĂ© une corrĂ©lation positive significative entre le score total obtenu Ă  l’HAD-dĂ©pression et le score total obtenu Ă  la FTCQ (r = 0,30 ; p = 0,004). Cependant, aucune corrĂ©lation significative n’a Ă©tĂ© trouvĂ©e entre l’HAD-dĂ©pression et le score obtenu Ă  la FTND (r = 0,06 ; p = 0,61). Concernant le nombre de cigarette consommĂ©es par jour, aucune corrĂ©lation n’a Ă©tĂ© retrouvĂ©e avec le score obtenu Ă  la dimension dĂ©pression (r = 0,12 ; p = 0,33) et Ă  la dimension anxiĂ©tĂ© (r = 0,20 ; p = 0.94).Discussion : Les rĂ©sultats ont permis de mettre en Ă©vidence l’intensitĂ© Ă©levĂ©e dessymptĂŽmes anxieux et dĂ©pressifs Ă  l’arrivĂ©e en incarcĂ©ration. Comme nous l’attendions, des corrĂ©lations ont Ă©tĂ© constatĂ©es entre l’intensitĂ© des symptĂŽmes anxieux et la sĂ©vĂ©ritĂ© de la dĂ©pendance au tabac ainsi qu’entre l’intensitĂ© des symptĂŽmes anxieux et dĂ©pressifs et l’intensitĂ© du craving. L'importance de dĂ©velopper et d'Ă©valuer des interventions spĂ©cifiquement adaptĂ©es Ă  la population incarcĂ©rĂ©e pour favoriser le sevrage tabagique apparait donc comme un enjeu important. Cette nĂ©cessitĂ© est d’autant plus urgente en raison de la vulnĂ©rabilitĂ© particuliĂšre de cette population face aux problĂ©matiques psychiatriques et addictologiques
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