76 research outputs found

    Gonadal function in males after chemotherapy for early-stage Hodgkin's lymphoma treated in four subsequent trials by the European Organisation for Research and Treatment of Cancer: EORTC Lymphoma Group and the Groupe d'Etude des Lymphomes de l'Adulte.

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    Contains fulltext : 51705.pdf (publisher's version ) (Open Access)PURPOSE: To analyze fertility in male patients treated with various combinations of radiotherapy and chemotherapy, with or without alkylating agents, or with radiotherapy alone for Hodgkin's lymphoma. PATIENTS AND METHODS: Follicle-stimulating hormone (FSH) levels were measured in patients with early-stage upper-diaphragmatic disease enrolled in four European Organisation for Research and Treatment of Cancer (EORTC) trials (H6-H9). Median follow-up after therapy was 32 months. Patients with FSH measurement at least 12 months after end of treatment (n = 355) were selected to assess post-treatment fertility. Patients with FSH measurement 0 to 9 months after therapy (n = 349) were selected to analyze fertility recovery; of these, patients with elevated FSH (> 10 U/L; n = 101) were followed until recovery. Factors predictive for therapy-related infertility were assessed by logistic regression. RESULTS: The proportion of elevated FSH was 3% and 8% in patients treated with radiotherapy only or with nonalkylating chemotherapy (doxorubicin, bleomycin, vinblastine, dacarbazine [ABVD], epirubicin, bleomycin, vinblastine, prednisone [EBVP]); it was 60% (P < .001) after chemotherapy containing alkylating agents (mechlorethamine, vincristine, procarbazine, prednisone [MOPP], MOPP/doxorubicin, bleomycin, vinblastine [ABV], bleomycin, etoposide, doxorubicin, cyclophosphamide, vincristine, procarbazine, prednisone [BEACOPP]). After a median time of 19 months, recovery of fertility occurred in 82% of patients treated without alkylating chemotherapy. This proportion was 30%, statistically (P < .001) lower in those treated with alkylating chemotherapy, and median time to recovery was 27 months. The post-treatment proportion of elevated FSH increased significantly (P < .001) with the dose of alkylating chemotherapy administered, and recovery was less frequent and slower after higher doses. Age more than 50 years and stage II disease also contributed to poor outcome. CONCLUSION: Fertility can be secured after nonalkylating chemotherapy for Hodgkin's lymphoma. In contrast, alkylating chemotherapy has a dismal effect, even after a limited number of cycles

    The impact of treatment, socio-demographic and clinical characteristics on health-related quality of life among Hodgkin’s and non-Hodgkin’s lymphoma survivors: a systematic review

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    Cancer survivors are at risk of experiencing adverse physical and psychosocial effects of their cancer and its treatment. Both Hodgkin’s lymphoma (HL) and non-Hodgkin’s lymphoma (NHL) survivors face problems that can affect their health-related quality of life (HRQoL). The authors systematically reviewed the literature on HRQoL among HL and NHL survivors. A PubMed and PsychINFO literature search for original articles published until May 2011 was performed. Twenty-four articles, which met the predefined inclusion criteria, were subjected to a quality checklist. HL survivors showed the most problems in (role) physical, social and cognitive functioning, general health, fatigue and financial problems. In addition, HL survivors treated with a combination of therapies, with older age and female sex reported worse HRQoL. NHL survivors showed the most problems in physical functioning, appetite loss, vitality and financial problems. Having had chemotherapy was negatively associated with HRQoL, but no differences in chemotherapy regimens were found. Furthermore, in NHL survivors not meeting public exercise guidelines, HRQoL is low but can be improved with more exercise. More research on the longitudinal comparison between HL and NHL survivors and healthy controls should be performed in order to better understand the long-term (side) effects of treatment on HRQoL and possibilities to alleviate these

    Parenthood in survivors of Hodgkin lymphoma: an EORTC-GELA general population case-control study.

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    Contains fulltext : 108966.pdf (publisher's version ) (Open Access)PURPOSE: We investigated the impact of Hodgkin lymphoma (HL) on parenthood, including factors influencing parenthood probability, by comparing long-term HL survivors with matched general population controls. PATIENTS AND METHODS: A Life Situation Questionnaire was sent to 3,604 survivors treated from 1964 to 2004 in successive clinical trials. Responders were matched with controls (1:3 or 4) for sex, country, education, and year of birth (10-year groups). Controls were given an artificial date of start of treatment equal to that of their matched case. The main end point was presence of biologic children after treatment, which was evaluated by using conditional logistic regression analysis. Logistic regression analysis was used to analyze factors influencing spontaneous post-treatment parenthood. RESULTS: In all, 1,654 French and Dutch survivors were matched with 6,414 controls. Median follow-up was 14 years (range, 5 to 44 years). After treatment, the odds ratio (OR) for having children was 0.77 (95% CI, 0.68 to 0.87; P < .001) for survivors compared with controls. Of 898 survivors who were childless before treatment, 46.7% achieved post-treatment parenthood compared with 49.3% of 3,196 childless controls (OR, 0.87; P = .08). Among 756 survivors with children before treatment, 12.4% became parents after HL treatment compared with 22.2% of 3,218 controls with children before treatment (OR, 0.49; P < .001). Treatment with alkylating agents, second-line therapy, and age older than 35 years at treatment appeared to reduce the chances of spontaneous post-treatment parenthood. CONCLUSION: Survivors of HL had slightly but significantly fewer children after treatment than matched general population controls. The difference concerned only survivors who had children before treatment and appears to have more personal than biologic reasons. The chance of successful post-treatment parenthood was 76%

    On the conceptualization and measurement of flow

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    This chapter introduces in chronological order the three main measurement methods – the Flow Questionnaire, the Experience Sampling Method, and the standardized scales of the componential approach – that researchers developed and used in conducting research on the flow state. Each measurement method and underlying conceptualization is explained, and its strengths and limitations are then discussed in relation to the other measurement methods and associated conceptualizations. The analysis reveals that, although the concept of flow remained stable since its inception, the models of flow that researchers developed in conjunction with the measurement methods changed substantially over time. Moreover, the findings obtained by applying the various measurement methods led to corroborations and disconfirmations of the underlying models, and hence provided indications on how to interpret and possibly modify flow theory. The chapter then analyzes the emerging process approach, which conceptualizes and measures flow as a dynamic path rather than an object, and highlights its potential for integrating flow and creativity within the same conceptual framework. The final section outlines new directions for developing more valid and useful measurement methods that can help to advance the understanding of flow, its antecedents, and its consequences

    Proposition d’une mĂ©thode et d’outils pour Ă©tudier le cĂŽtĂ© obscur du flow en contexte Ă©ducatif

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    International audienceCette communication s’inscrit principalement dans l’axe dĂ©diĂ© Ă  la recherche en psychologie positive (Seligman et Csikszentmihalyi, 2000) dans le champ de l'Ă©ducation et de la formation plus spĂ©cifiquement dans l’étude des environnements numĂ©riques qui soutiennent le flow des apprenants (Heutte, Fenouillet et al., 2014 ; Heutte et al., sous presse). Selon Csikszentmihalyi (1990), le flow correspond Ă  l’émotion liĂ©e Ă  l’état psychologique caractĂ©risĂ© par un sentiment de fluiditĂ© mentale et d'intense concentration sur des tĂąches qui mobilisent toutes nos compĂ©tences. Il s’agit d’une expĂ©rience autotĂ©lique dans la mesure oĂč c’est le bien-ĂȘtre procurĂ© par l’activitĂ© en tant que telle qui alimente la persistance dans cette activitĂ©. Si la trĂšs grande majoritĂ© des recherches ont mis en Ă©vidence de nombreux bĂ©nĂ©fices positifs du flow (pour revue : Csikszentmihalyi, 2014), depuis peu, quelques chercheurs tentent d’identifier le « Dark Side of Flow » (Partington et al., 2009 ; SchĂŒler, 2012) : un cĂŽtĂ© plus "obscur" du flow qui pourraient notamment expliquer certains comportements Ă  risque (sports extrĂȘmes) ou excessifs (jeux vidĂ©os).Dans le mĂȘme ordre d’idĂ©e, nous (Vallerand, 2015 ; Vallerand et al. ,2003) distinguons deux formes de passion : la passion harmonieuse (PH) et la passion obsessive (PO). La PH se caractĂ©rise par la libertĂ© avec laquelle l'individu s'engage dans l'activitĂ© et surtout l’insĂšre harmonieusement avec les autres aspects de sa vie. La PO est caractĂ©risĂ©e par un puissant dĂ©sir de faire l’activitĂ©Ì qui en vient Ă  contrĂŽler l'individu et qui occupe une place disproportionnĂ©e et envahissante par rapport aux autres aspects de sa vie.Enfin, nous complĂ©tons notre cadre thĂ©orique par la prise en compte des travaux concernant la distinction entre les Ă©motions positives et nĂ©gatives (Diener et al., 2009).Objectif de la rechercheNos travaux souhaitent mettre en Ă©vidence le « Dark Side of Flow » en formation, Ă  savoir les dĂ©terminants psychologiques de comportements excessifs liĂ©s Ă  la persistance Ă  vouloir toujours plus comprendre. Une premiĂšre Ă©tude en contexte de formation Ă  distance mettait en Ă©vidence que des Ă©tudiants africains perçoivent un niveau de flow et d’émotions nĂ©gatives plus importants que des Ă©tudiants europĂ©ens (Heutte, Kaplan et al., 2014).Nous souhaitons dĂ©sormais prĂ©senter l’analyse de 345 rĂ©ponses Ă  un questionnaire, d’étudiants inscrits en 2015 dans un autre dispositif. Cette fois-ci, nous avons notamment utilisĂ© :‱ l’échelle de mesure du Flow en Ă©ducation (EduFlow-2, Heutte et al. 2016) ; ‱ l’échelle de passion gĂ©nĂ©rale (Vallerand et al., 2003)‱ l’échelle de perception des Ă©motions positives et nĂ©gatives (Martin-Krumm et al., 2015)Nos analyses ont pour finalitĂ©s : 1. d’identifier plus particuliĂšrement les individus ayant un niveau de flow, de passion obsessive et d’émotions nĂ©gatives Ă©levĂ©s ;2. de vĂ©rifier la pertinence d’une modĂ©lisation permettant d’éclairer les contributions entre les diffĂ©rentes dimensions du flow (notamment l’immersion dans la tĂąche et l’altĂ©ration du temps), les diffĂ©rentes formes de passion (PH vs PO), ainsi que les diffĂ©rents types d’émotions. Cette communication sera l’occasion de prĂ©senter et de partager nos premiers rĂ©sultats et de contribuer ainsi Ă  une meilleure comprĂ©hension du cĂŽtĂ© obscur du flow.RĂ©fĂ©rencesCsikszentmihalyi, M. (1990). Flow: The Psychology of Optimal Experience. New York, Harper and Row.Csikszentmihalyi, M. (2014). Applications of Flow in Human Development and Education : The Collected Works of Mihaly Csikszentmihalyi. Springer Netherlands.Diener, E., Wirtz, D., Tov, W., Kim-Prieto, C., Choi. D., Oishi, S., & Biswas-Diener, R. (2009). New measures of well-being: Flourishing and positive and negative feelings. Social Indicators Research, 39, 247-266.Heutte, J., Fenouillet, F., Boniwell, I., Martin-Krumm, C., & Csikszentmihalyi, M. (2014). Optimal learning experience in digital environments: theoretical concepts, measure and modelisation, Symposium "Digital Learning in 21st Century Universities", Georgia Institute of Technology (Georgia Tech), Atlanta, GA.Heutte, J., Fenouillet, F., Kaplan, J., Martin-Krumm, C., & Bachelet, R., (sous presse). The EduFlow model - A Contribution Toward the Study of Optimal Learning Environments. In, L. Harmat, F. Ørsted Andersen, F. UllĂ©n, & J. Wright (Dir.) Flow Experience: Empirical Research and Applications. Springer, Dordrecht, The Netherlands.Heutte, J., Fenouillet, F., Martin-Krumm, C., Boniwell, I., & Csikszentmihalyi, M. (2016). Proposal for a conceptual evolution of the flow in education (EduFlow) model. In M. Bassi et J. Heutte, Invited symposium “Flow research: conceptual advancements and applications”, 8th European Conference on Positive Psychology (ECPP 2016), Angers, France.Heutte, J., Kaplan, J., Fenouillet, F., Caron, P.-A., & Rosselle, M. (2014). MOOC User Persistence - Lessons from French Educational Policy Adoption and Deployment of a Pilot Course. In L. Uden, J. Sinclair, Y.-H. Tao, & D. Liberona (Dir.), Learning Technology for Education in Cloud. MOOC and Big Data (LTEC'14), Communications in Computer and Information Science Vol. 446, pp. 13–24. Springer International Publishing.Martin-Krumm, C., Fenouillet, F., Kern, L., Csillik, A., Besançon, M., Heutte, J., Paquet, Y., Lecorre, B., & Diener, E. (2015). French validation of the Scale of Positive and Negative Experience (SPANE), Fourth World Congress on Positive Psychology (IPPA), Orlando, FL.Partington, S., Partington, E., & Olivier, S. (2009). The dark side of flow: a qualitative study of dependence in big wave surfing. The Sport Psychologist, 23, 170 - 186.Riva, G., Baños, R.-M., Botella C., Wiederhold B.-K., & Gaggioli A. (2012) Positive technology: using interactive technologies to promote positive functioning. Cyberpsychology, behavior and social networking, 15(2), 69-77. SchĂŒler, J. (2012). The dark side of the moon. In S. Engeser, Advances in Flow Research. New York, 123-137.Vallerand, R. J., (2015). The Psychology of Passion: A Dualistic Model, Oxford University Press.Vallerand, R.J., Blanchard, C.M., Mageau, G.A., Koestner, R., Ratelle, C., LĂ©onard, M., GagnĂ©, M., & Marsolais, J. (2003). Les passions de l'Ăąme: On obsessive and harmonious passion. Journal of Personality and Social Psychology, 85, 756-767

    Étude des liens entre les caractĂ©ristiques instrumentales et les diffĂ©rents types de motivations des participants dans un MOOC

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    Dans les MOOC, le paradoxe entre l’engouement massif et la chute tout aussi massive de la participation renouvelle la problĂ©matique de la persistance du fait de l’importance de l’abandon. En vue d’éclairer les dĂ©terminants de cette persistance, cette contribution rend compte d’outils mobilisĂ©s dans le cadre d’une Ă©tude exploratoire rĂ©alisĂ©e auprĂšs des participants (N = 10 700) inscrits dans un MOOC francophone. Cette Ă©tude est l’occasion d’utiliser deux nouveaux outils de mesure : l’échelle de perception instrumentale des communautĂ©s (PIC) et l’échelle de motivation en formation d’adultes (EMFA). ConformĂ©ment aux attentes, les rĂ©sultats de cette Ă©tude mettent en Ă©vidence les liens entre les perceptions instrumentales et les diffĂ©rents types de motivations : les liens les plus Ă©levĂ©s s’observent au niveau de la rĂ©gulation intĂ©grĂ©e de la motivation extrinsĂšque. Il ressort aussi de cette Ă©tude que les deux nouveaux outils (PIC et EMFA) complĂštent utilement l’outillage conceptuel et mĂ©thodologique du monitorage en temps rĂ©el des MOOC
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