Murcia Orienta

Material presente en la web del SEF www.sefcarm.esActividades para distintas necesidades del orientador laboral a la hora de ayudar a un desempleado, datos sobre fuentes de información, ayuda para autoempleo, trabajo en el extrajero, mejorar autoestima, etc

Más de cien mentiras : Quijote y Sabina confabulados

Publicación que conmemora el IV aniversario de la primera edición de El Quijote y que ha reunido a un grupo de profesores de áreas distintas (biología, compensatoria, inglés, educación física, historia, integración, latín y lengua) del IES Manuel Tárrega Escribano de la Región de Murcia. Se trata de un proyecto literario y creativo que tras la lectura de El Quijote se propone a los alumnos para que inventasen relatos breves en los que se jugará con la mentira, la ficción o la paradoja. En casi todos los relatos hay predominio del tema amoroso. El acercamiento al lenguaje barroco les ha llevado a recrear el estilo cervantino y a utilizar los recursos literarios de la época. Al juntar el Quijote a Sabina se ha avivado la creación y excitado la imaginación desencadanada por la canción de éste último titulada 'Es mentira'.MurciaConsejería de Educación y Cultura. Biblioteca Regional; Avda. Juan Carlos I, 17; 30008 Murcia; +34968366599; +34968366600; [email protected]

Pro‑vegetarian food patterns and cardiometabolic risk in the PREDIMED‑Plus study: a cross‑sectional baseline analysis

LThis work was supported by the official Spanish Institutions for funding scientific biomedical research, CIBER Fisiopatologia de la Obesidad y Nutricion (CIBEROBN) and Instituto de Salud Carlos III (ISCIII), through the Fondo de Investigacion para la Salud (FIS), which is co-funded by the European Regional Development Fund (six coordinated FIS projects leaded by JS-S and JVi, including the following projects: PI13/00673, PI13/00492, PI13/00272, PI13/01123, PI13/00462, PI13/00233, PI13/02184, PI13/00728, PI13/01090, PI13/01056, PI14/01722, PI14/00636, PI14/00618, PI14/00696, PI14/01206, PI14/01919, PI14/00853, PI14/01374, PI14/00972, PI14/00728, PI14/01471, PI16/00473, PI16/00662, PI16/01873, PI16/01094, PI16/00501, PI16/00533, PI16/00381, PI16/00366, PI16/01522, PI16/01120, PI17/00764, PI17/01183, PI17/00855, PI17/01347, PI17/00525, PI17/01827, PI17/00532, PI17/00215, PI17/01441, PI17/00508, PI17/01732, PI17/00926, PI19/00957, PI19/00386, PI19/00309, PI19/01032, PI19/00576, PI19/00017, PI19/01226, PI19/00781, PI19/01560, PI19/01332, PI20/01802, PI20/00138, PI20/01532, PI20/00456, PI20/00339, PI20/00557, PI20/00886, PI20/01158); the Especial Action Project entitled: Implementacion y evaluacion de una intervencion intensiva sobre la actividad fisica Cohorte PREDIMED-Plus grant to JS-S; the European Research Council (Advanced Research Grant 2014-2019; agreement #340918) granted to MAM-G.; the Recercaixa (number 2013ACUP00194) grant to JS-S; grants from the Consejeria de Salud de la Junta de Andalucia (PI0458/2013, PS0358/2016, PI0137/2018); the PROMETEO/2017/017 grant from the Generalitat Valenciana; the SEMERGEN grant; None of the funding sources took part in the design, collection, analysis, interpretation of the data, or writing the report, or in the decision to submit the manuscript for publication.Purpose We explored the cross-sectional association between the adherence to three different provegetarian (PVG) food patterns defined as general (gPVG), healthful (hPVG) and unhealthful (uPVG), and the cardiometabolic risk in adults with metabolic syndrome (MetS) of the PREDIMED-Plus randomized intervention study. Methods We performed a cross-sectional analysis of baseline data from 6439 participants of the PREDIMED-Plus randomized intervention study. The gPVG food pattern was built by positively scoring plant foods (vegetables/fruits/legumes/ grains/potatoes/nuts/olive oil) and negatively scoring, animal foods (meat and meat products/animal fats/eggs/fish and seafood/dairy products). The hPVG and uPVG were generated from the gPVG by adding four new food groups (tea and coffee/ fruit juices/sugar-sweetened beverages/sweets and desserts), splitting grains and potatoes and scoring them differently. Multivariable-adjusted robust linear regression using MM-type estimator was used to assess the association between PVG food patterns and the standardized Metabolic Syndrome score (MetS z-score), a composed index that has been previously used to ascertain the cardiometabolic risk, adjusting for potential confounders. Results A higher adherence to the gPVG and hPVG was associated with lower cardiometabolic risk in multivariable models. The regression coefficients for 5th vs. 1st quintile were − 0.16 (95% CI: − 0.33 to 0.01) for gPVG (p trend: 0.015), and − 0.23 (95% CI: − 0.41 to − 0.05) for hPVG (p trend: 0.016). In contrast, a higher adherence to the uPVG was associated with higher cardiometabolic risk, 0.21 (95% CI: 0.04 to 0.38) (p trend: 0.019). Conclusion Higher adherence to gPVG and hPVG food patterns was generally associated with lower cardiovascular risk, whereas higher adherence to uPVG was associated to higher cardiovascular risk.official Spanish InstitutionsCIBER Fisiopatologia de la Obesidad y Nutricion (CIBEROBN)Instituto de Salud Carlos III (ISCIII), through the Fondo de Investigacion para la Salud (FIS)European Commission PI13/00673 PI13/00492 PI13/00272 PI13/01123 PI13/00462 PI13/00233 PI13/02184 PI13/00728 PI13/01090 PI13/01056 PI14/01722 PI14/00636 PI14/00618 PI14/00696 PI14/01206 PI14/01919 PI14/00853 PI14/01374The European Regional Development Fund PI14/00972 PI14/00728 PI14/01471 PI16/00473 PI16/00662 PI16/01873 PI16/01094 PI16/00501 PI16/00533 PI16/00381 PI16/00366 PI16/01522 PI16/01120 PI17/00764 PI17/01183 PI17/00855 PI17/01347 PI17/00525 PI17/01827 PI17/00532 PI17/00215European Commission PI17/01441 PI17/00508 PI17/01732 PI17/00926 PI19/00957 PI19/00386 PI19/00309 PI19/01032 PI19/00576 PI19/00017 PI19/01226 PI19/00781 PI19/01560 PI19/01332 PI20/01802 PI20/00138 PI20/01532 PI20/00456 PI20/00339 PI20/00557 PI20/00886 PI20/01158Especial Action Project entitled: Implementacion y evaluacion de una intervencion intensiva sobre la actividad fisica Cohorte PREDIMED-Plus grantEuropean Research Council (ERC)European Commission 340918La Caixa Foundation 2013ACUP00194Junta de Andalucia PI0458/2013 PS0358/2016 PI0137/2018Generalitat Valenciana European Commission PROMETEO/2017/017SEMERGEN gran

More Adult Women than Men at High Cardiometabolic Risk Reported Worse Lifestyles and Self-Reported Health Status in the COVID-19 Lockdown

Background: The COVID-19 lockdown represented an immense impact on human health, which was characterized by lifestyle and dietary changes, social distancing and isolation at home. Some evidence suggests that these consequences mainly affected women and altered relevant ongoing clinical trials. The aim of this study was to evaluate the status and changes in diet, physical activity (PA), sleep and self-reported health status (SRH) as perceived by older adult men and women with metabolic syndrome during the COVID-19 lockdown. Methods: We analyzed data from 4681 Spanish adults with metabolic syndrome. We carried out a telephone survey during May and June 2020 to collect information on demographics, dietary habits, PA, sleep, SRH and anthropometric data. Results: The mean age of participants was 64.9 years at recruitment, and 52% of participants were men. Most participants (64.1%) perceived a decrease in their PA during confinement. Regarding gender-specific differences, a higher proportion of women than men perceived a decrease in their PA (67.5% vs. 61.1%), Mediterranean diet adherence (20.9% vs. 16.8%), sleep hours (30.3% vs. 19.1%), sleep quality (31.6% vs. 18.2%) and SRH (25.9% vs. 11.9%) (all p < 0.001). Conclusions: The COVID-19 lockdown affected women more negatively, particularly their self-reported diet, PA, sleep and health status.This research was funded by Fisiopatología de la Obesidad y Nutrición (CIBEROBN) and Instituto de Salud Carlos III (ISCIII), through the Fondo de Investigación para la Salud (FIS), which is co-funded by the European Regional Development Fund [six coordinated FIS projects leaded by J.S.-S. and J.V. (Jesús Vioque), including the following projects: PI13/00673, PI13/00492, PI13/00272, PI13/01123, PI13/00462, PI13/00233, PI13/02184, PI13/00728, PI13/01090, PI13/01056, PI14/01722, PI14/00636, PI14/00618, PI14/00696, PI14/01206, PI14/01919, PI14/00853, PI14/01374, PI14/00972, PI14/00728, PI14/01471, PI16/00473, PI16/00662, PI16/01873, PI16/01094, PI16/00501, PI16/00533, PI16/00381, PI16/00366, PI16/01522, PI16/01120, PI17/00764, PI17/01183, PI17/00855, PI17/01347, PI17/00525, PI17/01827, PI17/00532, PI17/00215, PI17/01441, PI17/00508, PI17/01732, PI17/00926, PI19/00957, PI19/00386, PI19/00309, PI19/01032, PI19/00576, PI19/00017, PI19/01226, PI19/00781, PI19/01560, PI19/01332, PI20/01802, PI20/00138, PI20/01532, PI20/00456, PI20/00339, PI20/00557, PI20/00886, PI20/01158]; the Especial Action Project entitled: Implementación y evaluación de una intervención intensiva sobre la actividad física Cohorte PREDIMED-Plus grant to J.S.-S.; the Recercaixa [number 2013ACUP00194] grant to J.S.-S.; grants from the Consejería de Salud de la Junta de Andalucía [PI0458/2013, PS0358/2016, PI0137/2018]; the PROMETEO/2017/017 and PROMETEO 2021/021 grants from the Generalitat Valenciana; the SEMERGEN grant. None of the funding sources took part in the design, collection, analysis, interpretation of the data, writing the report or in the decision to submit the manuscript for publication. J.S.-S. is partially supported by ICREA under the ICREA Academia programme. This research was funded by the Community of Madrid and the European Union through the European Regional Development Fund (ERDF)-REACT-EU resources of the Madrid Operational Program 2014–2020, in the action line of R+D+i projects in response to COVID-19, “FACINGLCOVID-CM”