10 research outputs found
Quality of life in caregivers of patients with multiple myeloma
Objectives: This study aimed to assess the relationship between sociodemographic, clinical, and psychological variables with quality of life (QoL) and the moderating role of caregivers' age and caregiving duration in caregivers of patients with Multiple Myeloma.Method: The sample included 118 caregivers who completed questionnaires that assessed psychological morbidity, satisfaction with social support, coping, burden, unmet needs, and QoL.Results: High psychological morbidity, burden and information, financial and emotional unmet needs were associated with lower QoL, while higher satisfaction with social support and more effective use of coping strategies were associated with better QoL. Women caregivers reported more satisfaction with social support and those who did not choose to care reported greater financial unmet needs and more use of coping strategies. The relationship between caregivers' psychological morbidity/social support and QoL was mediated by emotional needs and double mediated by coping and burden. The caregivers' age moderated the relationship between psychological morbidity/social support and emotional needs.Conclusion: Interventions to support the caregiver's emotional needs to promote their QoL are needed. These should be particularly tailored for older caregivers reporting greater psychological morbidity and younger caregivers less satisfied with their social support, as they have a negative indirect impact on their QoL.Portuguese Associations of Portuguese Association against Leukemia and the PortugueseAssociation of Leukemias and Lymphoma
Impacto de un programa intervenciĂłn em alunos del segundo ciclo
O objetivo do presente estudo consistiuem avaliar um programa de intervenção junto a alunos do 2Âș ciclo de escolaridade nas seguintes dimensĂ”es: tomada de decisĂŁo, conhecimentos sobre sexualidade, competĂȘncias sociais, assertividade e autoconceito. Metodologia: Participaram 145 alunos, distribuĂdos pelos grupos controle e experimental. Os instrumentos utilizados foram: TCU Decision-Making; QuestionĂĄrio de Conhecimentos sobre Sexualidade; Assertion Self-Statement Test- Revised; QuestionĂĄrio de CompetĂȘncias Sociais; Piers-Harris Childrenâs Self-Concept Scale. Os resultados revelaram diferenças no pĂłs-teste entre os grupos ao nĂvel da sexualidade. Verificaram-se diferenças do prĂ©-teste para o pĂłs-teste no grupo experimental nos nĂveis da sexualidade, da assertividade e das competĂȘncias sociais. No grupo experimental encontraram-se associaçÔes positivas entre tomada de decisĂŁo, competĂȘncias sociais e assertividade, bem como entre sexualidade, competĂȘncias sociais e autoconceito, no pĂłs-teste. Os preditores da assertividade no pĂłs-teste foram tomada de decisĂŁo, sexualidade e competĂȘncias sociais. Como conclusĂŁo, os resultados enfatizam a importĂąncia de intervenção junto a adolescentes, particularmente na tomada de decisĂŁo, na sexualidade e nas competĂȘncias sociais.
Palavras-chave: Habilidades sociais, sexualidade, autoconceito.In this study we evaluate an intervention program in the following dimensions: Decision Making, Knowledge on Sexuality, Social Skills, Assertiveness and Self-Concept with students in 5th and 6th grade. Methodology: 145 students participated in the study divided by control and experimental group. The instruments used were: Decision-Making TCU, Knowledge on Sexuality Questionnaire; Assertion Self-Statement Test-Revised;Social Skills Questionnaire, and Piers-Harris Children's Self- Concept Scale. The results indicate differences at post-test between the groups on knowledge regarding sexuality. There were also differences from pre-test to post-test in the experimental group on knowledge on sexuality, assertiveness and social skills. Positive associations among decision making, social skills and assertiveness were found as well as among knowledge on sexuality, social skills and self-concept, in the experimental group, in the pos-test. Finally, the predictors of assertiveness regarding health behaviors, in the pos-test were: decision making, knowledge regarding sexuality and social skills. The results emphasize the importance of intervention for adolescents in terms of health promotion particularly in decision making, sexuality and social skills.El objetivo del presente estudio fue evaluar un programa de intervenciĂłn con alumnos del 2Âș ciclo de escolaridad en las siguientes dimensiones: Toma de DecisiĂłn, Conocimientos sobre Sexualidad, Habilidades Sociales, Asertividad y Autoconcepto. MetodologĂa: Participaron 145 alumnos, distribuidos en grupo control y experimental. Los instrumentos utilizados fueron: TCU Decision-Making; Cuestionario de Conocimientos sobre Sexualidad; AssertionSelf-Statement Test-Revised; Cuestionario de Habilidades Sociais; Piers-Harris Children'sSelf-Concept Scale. Los resultados mostraron diferencias en el post-test entre los grupos en cuanto a la sexualidad. Se verificaron diferencias del pre-test para el post-teste en el grupo experimental, cuanto a sexualidad, asertividad y habilidades sociales. Se encontraron asociaciones positivas entre toma de decisiĂłn, habilidades sociales y asertividad, asĂ como entre sexualidad,habilidades sociales yautoconcepto, en el post-test en el grupo experimental. Los predictores de la asertividad en el post-test fueron toma de decisiĂłn, sexualidad y habilidades sociales. Los resultados destacan la importancia de la intervenciĂłn con adolescentes particularmente en la toma de decisiones, sexualidad y habilidades sociales.(undefined
Publisher Correction: MEMOTE for standardized genome-scale metabolic model testing
An amendment to this paper has been published and can be accessed via a link at the top of the paper.(undefined)info:eu-repo/semantics/publishedVersio
MEMOTE for standardized genome-scale metabolic model testing
Supplementary information is available for this paper at https://doi.org/10.1038/s41587-020-0446-yReconstructing metabolic reaction networks enables the development of testable hypotheses of an organisms metabolism under different conditions1. State-of-the-art genome-scale metabolic models (GEMs) can include thousands of metabolites and reactions that are assigned to subcellular locations. Geneproteinreaction (GPR) rules and annotations using database information can add meta-information to GEMs. GEMs with metadata can be built using standard reconstruction protocols2, and guidelines have been put in place for tracking provenance and enabling interoperability, but a standardized means of quality control for GEMs is lacking3. Here we report a community effort to develop a test suite named MEMOTE (for metabolic model tests) to assess GEM quality.We acknowledge D. Dannaher and A. Lopez for their supporting work on the Angular parts of MEMOTE; resources and support from the DTU Computing Center; J. Cardoso, S. Gudmundsson, K. Jensen and D. Lappa for their feedback on conceptual details; and P. D. Karp and I. Thiele for critically reviewing the manuscript. We thank J. Daniel, T. KristjĂĄnsdĂłttir, J. Saez-Saez, S. Sulheim, and P. Tubergen for being early adopters of MEMOTE and for providing written testimonials. J.O.V. received the Research Council of Norway grants 244164 (GenoSysFat), 248792 (DigiSal) and 248810 (Digital Life Norway); M.Z. received the Research Council of Norway grant 244164 (GenoSysFat); C.L. received funding from the Innovation Fund Denmark (project âEnvironmentally Friendly Protein Production (EFPro2)â); C.L., A.K., N. S., M.B., M.A., D.M., P.M, B.J.S., P.V., K.R.P. and M.H. received funding from the European Unionâs Horizon 2020 research and innovation programme under grant agreement 686070 (DD-DeCaF); B.G.O., F.T.B. and A.D. acknowledge funding from the US National Institutes of Health (NIH, grant number 2R01GM070923-13); A.D. was supported by infrastructural funding from the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation), Cluster of Excellence EXC 2124 Controlling Microbes to Fight Infections; N.E.L. received funding from NIGMS R35 GM119850, Novo Nordisk Foundation NNF10CC1016517 and the Keck Foundation; A.R. received a Lilly Innovation Fellowship Award; B.G.-J. and J. Nogales received funding from the European Unionâs Horizon 2020 research and innovation programme under grant agreement no 686585 for the project LIAR, and the Spanish Ministry of Economy and Competitivity through the RobDcode grant (BIO2014-59528-JIN); L.M.B. has received funding from the European Unionâs Horizon 2020 research and innovation programme under grant agreement 633962 for project P4SB; R.F. received funding from the US Department of Energy, Offices of Advanced Scientific Computing Research and the Biological and Environmental Research as part of the Scientific Discovery Through Advanced Computing program, grant DE-SC0010429; A.M., C.Z., S.L. and J. Nielsen received funding from The Knut and Alice Wallenberg Foundation, Advanced Computing program, grant #DE-SC0010429; S.K.âs work was in part supported by the German Federal Ministry of Education and Research (de.NBI partner project âModSimâ (FKZ: 031L104B)); E.K. and J.A.H.W. were supported by the German Federal Ministry of Education and Research (project âSysToxChipâ, FKZ 031A303A); M.K. is supported by the Federal Ministry of Education and Research (BMBF, Germany) within the research network Systems Medicine of the Liver (LiSyM, grant number 031L0054); J.A.P. and G.L.M. acknowledge funding from US National Institutes of Health (T32-LM012416, R01-AT010253, R01-GM108501) and the Wagner Foundation; G.L.M. acknowledges funding from a Grand Challenges Exploration Phase I grant (OPP1211869) from the Bill & Melinda Gates Foundation; H.H. and R.S.M.S. received funding from the Biotechnology and Biological Sciences Research Council MultiMod (BB/N019482/1); H.U.K. and S.Y.L. received funding from the Technology Development Program to Solve Climate Changes on Systems Metabolic Engineering for Biorefineries (grants NRF-2012M1A2A2026556 and NRF-2012M1A2A2026557) from the Ministry of Science and ICT through the National Research Foundation (NRF) of Korea; H.U.K. received funding from the Bio & Medical Technology Development Program of the NRF, the Ministry of Science and ICT (NRF-2018M3A9H3020459); P.B., B.J.S., Z.K., B.O.P., C.L., M.B., N.S., M.H. and A.F. received funding through Novo Nordisk Foundation through the Center for Biosustainability at the Technical University of Denmark (NNF10CC1016517); D.-Y.L. received funding from the Next-Generation BioGreen 21 Program (SSAC, PJ01334605), Rural Development Administration, Republic of Korea; G.F. was supported by the RobustYeast within ERA net project via SystemsX.ch; V.H. received funding from the ETH Domain and Swiss National Science Foundation; M.P. acknowledges Oxford Brookes University; J.C.X. received support via European Research Council (666053) to W.F. Martin; B.E.E. acknowledges funding through the CSIRO-UQ Synthetic Biology Alliance; C.D. is supported by a Washington Research Foundation Distinguished Investigator Award. I.N. received funding from National Institutes of Health (NIH)/National Institute of General Medical Sciences (NIGMS) (grant P20GM125503).info:eu-repo/semantics/publishedVersio