11 research outputs found
Capacidad sensorial y de marcha en adultos mayores residentes del área metropolitana de Monterrey
Identificar la relación entre la capacidad sensorial y la
capacidad de la marcha en los adultos mayores residentes del área metropolitana de
Monterrey, N.L. El diseño fue descriptivo - correlacional con muestreo aleatorio por
conglomerado (manzanas) unietápico. La muestra fue de 103 adultos mayores en 35
manzanas; que alcanza una potencia del 90% para una r= .40, un efecto de diseño de 1.25
y una significancia de .05. Se encontró una tasa de no respuesta del 25%. Para capacidad
visual y vestibular se realizaron pruebas de campos visuales y agudeza visual, prueba de
lateralización y prueba de conducción. Se valoraron las características temporo –
espaciales de la marcha y la calidad de la misma. El análisis se realizó a través de
estadística descriptiva, correlación de Spearman y análisis multivariado (MANOVA)
Microarray comparative genomic hybridization detection of chromosomal imbalances in uterine cervix carcinoma
BACKGROUND: Chromosomal Comparative Genomic Hybridization (CGH) has been applied to all stages of cervical carcinoma progression, defining a specific pattern of chromosomal imbalances in this tumor. However, given its limited spatial resolution, chromosomal CGH has offered only general information regarding the possible genetic targets of DNA copy number changes. METHODS: In order to further define specific DNA copy number changes in cervical cancer, we analyzed 20 cervical samples (3 pre-malignant lesions, 10 invasive tumors, and 7 cell lines), using the GenoSensor microarray CGH system to define particular genetic targets that suffer copy number changes. RESULTS: The most common DNA gains detected by array CGH in the invasive samples were located at the RBP1-RBP2 (3q21-q22) genes, the sub-telomeric clone C84C11/T3 (5ptel), D5S23 (5p15.2) and the DAB2 gene (5p13) in 58.8% of the samples. The most common losses were found at the FHIT gene (3p14.2) in 47% of the samples, followed by deletions at D8S504 (8p23.3), CTDP1-SHGC- 145820 (18qtel), KIT (4q11-q12), D1S427-FAF1 (1p32.3), D9S325 (9qtel), EIF4E (eukaryotic translation initiation factor 4E, 4q24), RB1 (13q14), and DXS7132 (Xq12) present in 5/17 (29.4%) of the samples. CONCLUSION: Our results confirm the presence of a specific pattern of chromosomal imbalances in cervical carcinoma and define specific targets that are suffering DNA copy number changes in this neoplasm
Second hit in cervical carcinogenesis process: involvement of wnt/beta catenin pathway
The Human papillomavirus plays an important role in the initiation and progression of cervical cancer. However, it is a necessary but not sufficient cause to develop invasive carcinoma; hence, other factors are required in the pathogenesis of this malignancy. In this review we explore the hypothesis of the deregulation of wnt/β-catenin signaling pathway as a "second hit" required to develop cervical cancer
Influencia del ambiente en el desarrollo de la resiliencia en adolescentes de Medellín, Colombia
Objective: To know the influence of the environment (family functionality, social support and neighbourhood and school environment) on the development of adolescent resilience.
Methods: Descriptive, correlational design. A total of 184 adolescents from six schools in the Aranjuez district of Medellín participated. Probabilistic, two-stage sampling. Five scales were used to collect data: 1) The child and youth resilience measurement scale; 2) The neighbourhood environment questionnaire; 3) The family cohesion and adaptability assessment scale; 4) The multidimensional scale of perceived social support; and 5) The school environment questionnaire. Data were analysed though SPSS 24v software.
Results: a relationship was found between resilience and neighbourhood environment (rs = .324, p = .000), family functionality (rs = .380, p = .000), social support (rs = .456, p = .000) and school environment (rs = .353, p = .000). In addition, resilience was explained in 35.8 % by the neighbourhood environment (β = .20; p = .012), family functionality (β = .13; p = .090), social support (β = .30; p = .000) and school environment (β = .15; p = .064).
Conclusion: Adolescent resilient behaviour is influenced by social support, family functioning, and school and neighbourhood environment, all external factors fostering self-regulation, as mentioned by Roy’s Nursing model.Objetivo: availar a influência do ambiente (funcionalidade familiar, apoio social e ambiente de bairro e escolar) no desenvolvimento da resiliência dos adolescentes.
Métodos: desenho descritivo, correlacional. Participaram 184 adolescentes de seis colégios da comunidade Aranjuez, Medellín, Colômbia. Amostragem probabilística, bietápica. Para coletar os dados, foram aplicados cinco instrumentos: 1) a escala child and youth resilience measure; 2) o questionário de ambiente de bairro; 3) a escala de avaliação de coesão e adaptabilidade familiar; 4) a escala multidimensional de apoio social percebido; 5) o questionário de ambiente escolar. Os dados foram processados com o software SPSS 24v.
Resultados: verificou-se relação entre a resiliência e o ambiente de bairro (rs = .324, p = .000), funcionalidade familiar (rs = .380, p = .000), apoio social (rs = .456, p = .000) e ambiente escolar (rs = .353, p = .000). Além disso, a resiliência foi explicada em 35,8 % pelo contexto de bairro (β =.20; p =.012), pela funcionalidade familiar (β =.13; p =.090), pelo apoio social (β =.30; p =.000) e pelo ambiente escolar (β =.15; p = .064).
Conclusões: o comportamento resiliente dos adolescentes é influenciado pelo apoio social, pela funcionalidade familiar e pelo ambiente escolar e de bairro, fatores externos que favorecem a autorregulação, como mencionado por Roy no seu modelo de enfermagem.Objetivo: conocer la influencia del ambiente (funcionalidad familiar, apoyo social y ambiente barrial y escolar) en el desarrollo de la resiliencia de los adolescentes.
Métodos: diseño descriptivo, correlacional. Participaron 184 adolescentes de seis colegios de la comuna Aranjuez de Medellín. Muestreo probabilístico, bietápico. Para recolectar los datos, se aplicaron cinco escalas: 1) la escala child and youth resilience measure; 2) el cuestionario de ambiente barrial; 3) la escala de evaluación de cohesión y adaptabilidad familiar; 4) la escala multidimensional de apoyo social percibido; y 5) el cuestionario de ambiente escolar. Los datos se procesaron con el software SPSS 24v.
Resultados: se encontró una relación entre la resiliencia y el ambiente barrial (rs = .324, p = .000), funcionalidad familiar (rs = .380, p = .000), apoyo social (rs = .456, p = .000) y ambiente escolar (rs = .353, p = .000). Además, la resiliencia fue explicada en un 35,8 % por el ambiente barrial (β =.20; p =.012), la funcionalidad familiar (β =.13; p =.090), el apoyo social (β =.30; p =.000) y el ambiente escolar (β =.15; p = .064).
Conclusión: la conducta resiliente de los adolescentes es influenciada por el apoyo social, la funcionalidad familiar y el ambiente escolar y barrial, factores externos que favorecen la autorregulación, como lo menciona Roy en su modelo de enfermería
Influência do ambiente no desenvolvimento da resiliência em adolescentes de Medellín, Colômbia
11 páginasObjetivo: conocer la influencia del ambiente (funcionalidad familiar, apoyo social y ambiente barrial y escolar) en el desarrollo de la resiliencia de los adolescentes.
Métodos: diseño descriptivo, correlacional. Participaron 184 adolescentes de seis colegios de la comuna Aranjuez de Medellín. Muestreo probabilístico, bietápico. Para recolectar los datos, se aplicaron cinco escalas: 1) la escala child and youth resilience measure; 2) el cuestionario de ambiente barrial; 3) la escala de evaluación de cohesión y adaptabilidad familiar; 4) la escala multidimensional de apoyo social percibido; y 5) el cuestionario de ambiente escolar. Los datos se procesaron con el software SPSS 24v.
Resultados: se encontró una relación entre la resiliencia y el ambiente barrial (rs = .324, p = .000), funcionalidad familiar (rs = .380, p = .000), apoyo social (rs = .456, p = .000) y ambiente escolar (rs = .353, p = .000). Además, la resiliencia fue explicada en un 35,8 % por el ambiente barrial (β =.20; p =.012), la funcionalidad familiar (β =.13; p =.090), el apoyo social (β =.30; p =.000) y el ambiente escolar (β =.15; p = .064).
Conclusión: la conducta resiliente de los adolescentes es influenciada por el apoyo social, la funcionalidad familiar y el ambiente escolar y barrial, factores externos que favorecen la autorregulación, como lo menciona Roy en su modelo de enfermería.Objective: To know the influence of the environment (family functionality, social support and neighbourhood and school environment) on the development of adolescent resilience. Methods: Descriptive, correlational design. A total of 184 adolescents from six schools in the Aranjuez district of Medellín participated. Probabilistic, two-stage sampling. Five scales were used to collect data: 1) The child and youth resilience measurement scale; 2) The neighbourhood environment questionnaire; 3) The family cohesion and adaptability assess-ment scale; 4) The multidimensional scale of perceived social support; and 5) The school environment questionnaire. Data were analysed though SPSS 24v software. Results: a relationship was found between resilience and neighbourhood environment (rs=.324, p=.000), family functionality (rs=.380, p=.000), social support (rs=.456, p=.000) and school environment (rs=.353, p=.000). In addition, resilience was explained in 35.8% by the neighbourhood environment (β=.20; p=.012), family functionality (β=.13; p=.090), social support (β =.30; p=.000) and school environment (β=.15; p=.064). Conclusion: Adolescent resilient behaviour is influenced by social support, family functioning, and school and neighbourhood environment, all external factors fostering self-regulation, as mentioned by Roy’s Nursing model
Environmental Influence on Adolescent Resilience Development in Medellin Colombia
Influencia del ambiente en el desarrollo de la resiliencia en adolescentes de Medellín, ColombiaInfluência do ambiente no desenvolvimento da resiliência em adolescentes de Medellín, ColômbiaObjective: To know the influence of the environment (family functionality, social support and neighbourhood and school environment) on the development of adolescent resilience.Methods: Descriptive, correlational design. A total of 184 adolescents from six schools in the Aranjuez district of Medellín participated. Probabilistic, two-stage sampling. Five scales were used to collect data: 1) The child and youth resilience measurement scale; 2) The neighbourhood environment questionnaire; 3) The family cohesion and adaptability assessment scale; 4) The multidimensional scale of perceived social support; and 5) The school environment questionnaire. Data were analysed though SPSS 24v software.Results: a relationship was found between resilience and neighbourhood environment (rs = .324, p = .000), family functionality (rs = .380, p = .000), social support (rs = .456, p = .000) and school environment (rs = .353, p = .000). In addition, resilience was explained in 35.8 % by the neighbourhood environment (β = .20; p = .012), family functionality (β = .13; p = .090), social support (β = .30; p = .000) and school environment (β = .15; p = .064).Conclusion: Adolescent resilient behaviour is influenced by social support, family functioning, and school and neighbourhood environment, all external factors fostering self-regulation, as mentioned by Roy’s Nursing model.Para citar este artículo / To reference this article / Para citar este artigoReyes-Sánchez C, Castaño-Pérez GA, Ceballos-Alatorre B, Martínez-Aguilera P, Yañez-Castillo BG. Environmental Influence on Adolescent Resilience Development in Medellin Colombia. Aquichan. 2020;20(2):e2024. DOI: https://doi.org/10.5294/aqui.2020.20.2.4Recibido: 17/12/2019Aceptado: 27/04/2020Publicado: 30/06/2020Influencia del ambiente en el desarrollo de la resiliencia en adolescentes de Medellín, ColombiaInfluência do ambiente no desenvolvimento da resiliência em adolescentes de Medellín, ColômbiaObjetivo: conocer la influencia del ambiente (funcionalidad familiar, apoyo social y ambiente barrial y escolar) en el desarrollo de la resiliencia de los adolescentes.Métodos: diseño descriptivo, correlacional. Participaron 184 adolescentes de seis colegios de la comuna Aranjuez de Medellín. Muestreo probabilístico, bietápico. Para recolectar los datos, se aplicaron cinco escalas: 1) la escala child and youth resilience measure; 2) el cuestionario de ambiente barrial; 3) la escala de evaluación de cohesión y adaptabilidad familiar; 4) la escala multidimensional de apoyo social percibido; y 5) el cuestionario de ambiente escolar. Los datos se procesaron con el software SPSS 24v.Resultados: se encontró una relación entre la resiliencia y el ambiente barrial (rs = .324, p = .000), funcionalidad familiar (rs = .380, p = .000), apoyo social (rs = .456, p = .000) y ambiente escolar (rs = .353, p = .000). Además, la resiliencia fue explicada en un 35,8 % por el ambiente barrial (β =.20; p =.012), la funcionalidad familiar (β =.13; p =.090), el apoyo social (β =.30; p =.000) y el ambiente escolar (β =.15; p = .064).Conclusión: la conducta resiliente de los adolescentes es influenciada por el apoyo social, la funcionalidad familiar y el ambiente escolar y barrial, factores externos que favorecen la autorregulación, como lo menciona Roy en su modelo de enfermería.Para citar este artículo / To reference this article / Para citar este artigoReyes-Sánchez C, Castaño-Pérez GA, Ceballos-Alatorre B, Martínez-Aguilera P, Yañez-Castillo BG. Environmental Influence on Adolescent Resilience Development in Medellin Colombia. Aquichan. 2020;20(2):e2024. DOI: https://doi.org/10.5294/aqui.2020.20.2.4Recibido: 17/12/2019Aceptado: 27/04/2020Publicado: 30/06/2020Influencia del ambiente en el desarrollo de la resiliencia en adolescentes de Medellín, ColombiaInfluência do ambiente no desenvolvimento da resiliência em adolescentes de Medellín, ColômbiaObjetivo: availar a influência do ambiente (funcionalidade familiar, apoio social e ambiente de bairro e escolar) no desenvolvimento da resiliência dos adolescentes.Métodos: desenho descritivo, correlacional. Participaram 184 adolescentes de seis colégios da comunidade Aranjuez, Medellín, Colômbia. Amostragem probabilística, bietápica. Para coletar os dados, foram aplicados cinco instrumentos: 1) a escala child and youth resilience measure; 2) o questionário de ambiente de bairro; 3) a escala de avaliação de coesão e adaptabilidade familiar; 4) a escala multidimensional de apoio social percebido; 5) o questionário de ambiente escolar. Os dados foram processados com o software SPSS 24v.Resultados: verificou-se relação entre a resiliência e o ambiente de bairro (rs = .324, p = .000), funcionalidade familiar (rs = .380, p = .000), apoio social (rs = .456, p = .000) e ambiente escolar (rs = .353, p = .000). Além disso, a resiliência foi explicada em 35,8 % pelo contexto de bairro (β =.20; p =.012), pela funcionalidade familiar (β =.13; p =.090), pelo apoio social (β =.30; p =.000) e pelo ambiente escolar (β =.15; p = .064).Conclusões: o comportamento resiliente dos adolescentes é influenciado pelo apoio social, pela funcionalidade familiar e pelo ambiente escolar e de bairro, fatores externos que favorecem a autorregulação, como mencionado por Roy no seu modelo de enfermagem.Para citar este artículo / To reference this article / Para citar este artigoReyes-Sánchez C, Castaño-Pérez GA, Ceballos-Alatorre B, Martínez-Aguilera P, Yañez-Castillo BG. Environmental Influence on Adolescent Resilience Development in Medellin Colombia. Aquichan. 2020;20(2):e2024. DOI: https://doi.org/10.5294/aqui.2020.20.2.4Recibido: 17/12/2019Aceptado: 27/04/2020Publicado: 30/06/202
Clavigero. Comunidad de saberes, núm 2: Educaciones alternativas
Este número se compone de textos que presentan una perspectiva política de la educación, podríamos decir que es una gran reflexión contrahegemónica. Participan autores que, desde su práctica y distintas trincheras, han impulsado nuevas estrategias de educar, pero que también son actores públicos con una postura crítica, que dialogan en este espacio con los clásicos pensadores de lo educativo
Efficacy and safety of baricitinib for the treatment of hospitalised adults with COVID-19 (COV-BARRIER): a randomised, double-blind, parallel-group, placebo-controlled phase 3 trial
Background: Baricitinib is an oral selective Janus kinase 1/2 inhibitor with known anti-inflammatory properties. This study evaluates the efficacy and safety of baricitinib in combination with standard of care for the treatment of hospitalised adults with COVID-19.
Methods: In this phase 3, double-blind, randomised, placebo-controlled trial, participants were enrolled from 101 centres across 12 countries in Asia, Europe, North America, and South America. Hospitalised adults with COVID-19 receiving standard of care were randomly assigned (1:1) to receive once-daily baricitinib (4 mg) or matched placebo for up to 14 days. Standard of care included systemic corticosteroids, such as dexamethasone, and antivirals, including remdesivir. The composite primary endpoint was the proportion who progressed to high-flow oxygen, non-invasive ventilation, invasive mechanical ventilation, or death by day 28, assessed in the intention-to-treat population. All-cause mortality by day 28 was a key secondary endpoint, and all-cause mortality by day 60 was an exploratory endpoint; both were assessed in the intention-to-treat population. Safety analyses were done in the safety population defined as all randomly allocated participants who received at least one dose of study drug and who were not lost to follow-up before the first post-baseline visit. This study is registered with ClinicalTrials.gov, NCT04421027.
Findings: Between June 11, 2020, and Jan 15, 2021, 1525 participants were randomly assigned to the baricitinib group (n=764) or the placebo group (n=761). 1204 (79·3%) of 1518 participants with available data were receiving systemic corticosteroids at baseline, of whom 1099 (91·3%) were on dexamethasone; 287 (18·9%) participants were receiving remdesivir. Overall, 27·8% of participants receiving baricitinib and 30·5% receiving placebo progressed to meet the primary endpoint (odds ratio 0·85 [95% CI 0·67 to 1·08], p=0·18), with an absolute risk difference of -2·7 percentage points (95% CI -7·3 to 1·9). The 28-day all-cause mortality was 8% (n=62) for baricitinib and 13% (n=100) for placebo (hazard ratio [HR] 0·57 [95% CI 0·41-0·78]; nominal p=0·0018), a 38·2% relative reduction in mortality; one additional death was prevented per 20 baricitinib-treated participants. The 60-day all-cause mortality was 10% (n=79) for baricitinib and 15% (n=116) for placebo (HR 0·62 [95% CI 0·47-0·83]; p=0·0050). The frequencies of serious adverse events (110 [15%] of 750 in the baricitinib group vs 135 [18%] of 752 in the placebo group), serious infections (64 [9%] vs 74 [10%]), and venous thromboembolic events (20 [3%] vs 19 [3%]) were similar between the two groups.
Interpretation: Although there was no significant reduction in the frequency of disease progression overall, treatment with baricitinib in addition to standard of care (including dexamethasone) had a similar safety profile to that of standard of care alone, and was associated with reduced mortality in hospitalised adults with COVID-19