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Castro, Stela Maris de Jezus, Mariana Cúri, Vanessa Bielefeldt Leotti Torman, and João Riboldi. "Funcionamento Diferencial do Item no Inventário de Depressão Beck." Revista Brasileira de Epidemiologia 18, no. 1 (March 2015): 54–67. http://dx.doi.org/10.1590/1980-5497201500010005.
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INTRODUÇÃO: Diversos estudos mostram o Funcionamento Diferencial do Item (DIF) em itens do Inventário de Depressão Beck (BDI), ao compararem homens e mulheres. A presença de um grande número de itens com DIF no BDI é uma severa ameaça à validade da medida da intensidade de sintomas depressivos obtida pela Teoria da Resposta ao Item (TRI) e às conclusões baseadas nos escores derivados dos itens com e sem DIF. OBJETIVO: Os objetivos deste estudo foram identificar esses itens do BDI, ajustar o modelo de TRI para itens constrangedores (modelo 2), o qual acomoda itens com a presença de DIF, e comparar esses resultados com os do ajuste do modelo logístico de dois parâmetros tradicional da TRI (modelo 1). MÉTODOS: Os resultados obtidos com ambos os modelos foram comparados. RESULTADOS: Os itens que apresentaram DIF foram: tristeza, sentimento de fracasso, insatisfações, culpa, punição, choro, fatigabilidade e perda da libido. Os resultados do ajuste dos dois modelos são similares quanto à discriminação, gravidade (à exceção dos itens com DIF) e no cálculo de escores para os indivíduos. Apesar disso, o modelo 2 é vantajoso, pois mostra as diferenças em gravidade do sintoma depressivo para os grupos avaliados, trazendo, dessa forma, mais informação ao pesquisador sobre a população estudada. CONCLUSÃO: Esse modelo, que tem um alcance mais amplo em termos de população-alvo, pode ser uma ótima alternativa na identificação e acompanhamento de indivíduos com potencial depressivo.
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Anunciação, Luis, Maricy Caregnato, and Flávio Soares Correa da Silva. "Aspectos psicométricos do Inventário Beck de Depressão-II e do Beck Atenção Primária em usuários do Facebook." Jornal Brasileiro de Psiquiatria 68, no. 2 (June 2019): 83–91. http://dx.doi.org/10.1590/0047-2085000000231.
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RESUMO Objetivo Avaliar a depressão com instrumentos psicométricos válidos, confiáveis e breves é uma necessidade frequente de clínicos e outros profissionais de saúde mental. Este estudo apresenta evidências psicométricas do Inventário Beck de Depressão-II (BDI-II) e de sua versão desenvolvida especialmente para profissionais em Atenção Primária (BDI-PC). Métodos A amostra foi eleita de maneira não probabilística dos usuários do Facebook. O grupo foi composto por 692 participantes brasileiros, sendo 71,7% mulheres com idade média de 27,9 anos (DP = 11,6) e 28,3% homens com idade média de 30,1 anos (DP = 11,4). No geral, a idade média dos participantes foi de 28,5 anos (DP = 11,5). O modelo de Resposta Gradual de Samejima da Teoria de Resposta ao Item (TRI) foi implementado. Resultados Os resultados evidenciaram que o BDI-II (CFI = 0,99, RMSEA = 0,04) e o BDI-PC (CFI = 1,00, RMSEA = 0,01) são suficientemente unidimensionais e com indicadores adequados de fidedignidade, com coeficiente alfa de Cronbach de 0,96 para o BDI-II e de 0,92 para o BDI-PC. Conclusões Este trabalho apresenta uma importante contribuição à área de avaliação psicológica/neuropsicológica e oferece à comunidade de pesquisadores e clínicos evidências originais que proporcionam o uso do BDI-PC.
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Furlanetto, Letícia M., Joanita Ângela Gonzaga Del Moral, Ana Heloísa B. Gonçalves, Kenia Rodrigues, and Maria Eduarda M. L. Polli Jacomino. "Diagnosticando depressão em pacientes internados com doenças hematológicas: prevalência e sintomas associados." Jornal Brasileiro de Psiquiatria 55, no. 2 (2006): 96–101. http://dx.doi.org/10.1590/s0047-20852006000200001.
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INTRODUÇÃO: Não encontramos estudos avaliando o diagnóstico e a prevalência de depressão em pacientes hematológicos aqui no Brasil. OBJETIVO: Verificar a prevalência dos sintomas depressivos e quais deles mais se associam à depressão em pacientes internados com doenças hematológicas. MÉTODOS: Num estudo transversal, 104 pacientes consecutivamente internados nos leitos da hematologia do Hospital Universitário da Universidade Federal de Santa Catarina (HU/UFSC) foram avaliados. Foram preenchidos questionários de variáveis sociodemográficas e de história psiquiátrica. O índice Charlson de co-morbidade (IC) foi usado para medir gravidade física. Foi aplicado, também, o inventário Beck de depressão (BDI). Aqueles que tiveram pontuação acima de 9 na soma dos 13 primeiros itens do BDI (BDI-13) foram considerados deprimidos. Também foi verificada a freqüência caso fosse utilizada a escala completa com 21 itens (BDI-21), com ponto de corte 16/17. RESULTADOS: As prevalências foram: BDI-13 = 25% e BDI-21 = 32,7%. Após controle para fatores de confusão, os sintomas que permaneceram no modelo da regressão logística, indicando que melhor detectavam os deprimidos, foram sensação de fracasso, anedonia, culpa e fadiga. CONCLUSÃO: Cerca de um quarto a um terço dos pacientes internados com doenças hematológicas tinham sintomas depressivos significativos, e os sintomas que melhor os discriminaram foram sensação de fracasso, anedonia, culpa e fadiga.
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Farias, Giovani Parente, Graçaliz Pereira Dimuro, and Antônio Carlos Rocha Costa. "Aplicação de Agentes BDI com Percepção Fuzzy em um Modelo Presa-Predador Fuzzy." Revista de Informática Teórica e Aplicada 17, no. 3 (March 26, 2011): 299. http://dx.doi.org/10.22456/2175-2745.16572.
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Giavoni, Adriana, Gislane Ferreira de Melo, Isabela Parente, and Gabriela Dantas. "Elaboração e validação da Escala de Depressão para Idosos." Cadernos de Saúde Pública 24, no. 5 (May 2008): 975–82. http://dx.doi.org/10.1590/s0102-311x2008000500004.
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O objetivo deste estudo foi desenvolver e validar a Escala de Depressão para Idosos (EDI). Foi elaborado um modelo teórico explicativo da depressão, composto por três categorias: cognitiva, afetiva e somático-motora. Os itens elaborados foram submetidos à análise semântica e de juizes. O instrumento piloto foi aplicado a 340 sujeitos, sendo 88% do sexo feminino, com ensino fundamental completo (67,9%) e idade média de 63,74 (DP = 6,87) anos. A amostra respondeu também ao Inventário de Depressão de Beck (BDI). Para a validação da escala, foram realizadas análises fatoriais e análise da consistência interna dos itens (alfa de Cronbach). Regressões múltiplas avaliaram o poder de predição dos fatores da EDI sobre o escore final do BDI. A validação da escala demonstrou que a EDI é composta por dois fatores: cognitivo-afetivo e somático-motor, que explicam 53% do BDI (validade convergente). Pode-se afirmar, portanto, que a EDI é formada por fatores que avaliam diferentes aspectos do constructo depressão (validade fatorial), os quais apresentam índices de consistência interna dentro dos padrões psicométricos.
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Valencia Acevedo, Juan Felipe. "Terapia cognitiva y activación conductual trastorno depresivo mayor recurrente, inducido por sustancias." Drugs and Addictive Behavior 4, no. 1 (June 2019): 150–71. http://dx.doi.org/10.21501/24631779.3162.
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Este estudio de caso único presenta la intervención en un paciente con diagnóstico de trastorno depresivo mayor, episodio recurrente y características de ansiedad inducidas por sustancias. Para la fase de línea base y medición se utilizó el Inventario de Depresión de Beck (BDI-II), Inventario de Ansiedad de Beck (BAI), Escala de Desesperanza de Beck (BHS) y una entrevista clínica. Después de 16 sesiones, se evidencia una reducción significativa en las puntuaciones de depresión del paciente. Se discute la importancia de direccionar los ámbitos investigativos en el establecimiento y difusión del modelo de AC para la depresión como estrategia sólida y eficaz combinándola con la TC, presentando estudios en los cuales se muestre un rigor investigativo que permita evidenciar el cambio individual en las variables relacionadas con los síntomas depresivos.
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Castro, Stela Maris de Jezus, Clarissa Trentini, and João Riboldi. "Teoria da resposta ao item aplicada ao Inventário de Depressão Beck." Revista Brasileira de Epidemiologia 13, no. 3 (September 2010): 487–501. http://dx.doi.org/10.1590/s1415-790x2010000300012.
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O Inventário de Depressão Beck (BDI), uma escala que mede o traço latente de intensidade de sintomas depressivos, pode ser avaliado através da Teoria da Resposta ao Item (TRI). Este estudo utilizou o modelo TRI de Resposta Gradual na avaliação da intensidade de sintomas depressivos de 4.025 indivíduos que responderam ao BDI, de modo a explorar eficientemente a informação disponível nos diferentes aspectos possibilitados pelo uso desta metodologia. O ajuste foi efetuado no software PARSCALE. Foram identificados 13 itens do BDI nos quais pelo menos uma categoria de resposta não tinha chance maior que as demais de ser escolhida, de modo que estes itens tiveram de ser recategorizados. Os itens com maior capacidade de discriminação são relativos à tristeza, pessimismo, sentimento de fracasso, insatisfação, auto-aversão, indecisão e dificuldade para trabalhar. Os itens mais graves são aqueles relacionados com perda de peso, retraimento social e idéias suicidas. O grupo dos 202 indivíduos com as maiores intensidades de sintomas depressivos foi composto por 74% de mulheres, e praticamente 84% possuíam diagnóstico de algum transtorno psiquiátrico. Os resultados evidenciam alguns dos inúmeros ganhos advindos da utilização da TRI na análise de traços latentes.
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Dao, Tu Van, Chu Van Nguyen, Quang Tien Nguyen, Ha Thi Ngoc Vu, Huyen Thi Phung, Oanh Thi Bui, Dung Khac Nguyen, Bang Viet Luong, and Thuan Van Tran. "Evaluation of Tumor Budding in Predicting Survival for Gastric Carcinoma Patients in Vietnam." Cancer Control 27, no. 1 (January 1, 2020): 107327482096888. http://dx.doi.org/10.1177/1073274820968883.
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Background: Tumor budding (Bd) has been demonstrated to be a promising prognostic factor in many carcinomas and in gastric cancer. It may represent an optimal additional parameter that is helpful for risk stratification in gastric adenocarcinoma. Hence, the present research was designed to predict the survival outcomes of gastric cancer in Vietnam, applying the tumor budding criteria of the International Tumor Budding Consensus Conference (ITBCC) 2016. Methods: The present study was conducted on 109 gastric cancer patients who underwent surgery but did not receive neo-adjuvant chemotherapy from 2012 to 2015. The patients’ clinicopathological features were recorded. Bd was evaluated according to the 2016 ITBCC criteria and classified as Bd1 (0–4 buds), Bd2 (5–9 buds), and Bd3 (≥10 buds) grades, in addition to being categorized into 2 main Bd groups: low (<10 buds) and high (≥10 buds) Bd. Kaplan–Meier and log-rank models were applied to analyze survival proportions. Results: Of all the patients, 22.9% were classified as Bd1, 31.2% as Bd2, and 45.9% as Bd3 grades. Furthermore, 54.1% patients were categorized into the low and 45.9% into the high Bd groups. Patients with Bd1 and Bd2 grades (the low Bd group) exhibited the best prognosis, with 5-year overall survival (OS) rates of 85.7%, 90.8%, and90.3%, respectively. Patients with Bd3 grade (the high Bd group exhibited the worst prognosis, and none of them lived for 5 years (p < 0.001). Similar to OS rates, disease-free survival (DFS) rates markedly reduced from the Bd1 to Bd3 grade: Bd1, 95.0%; Bd2, 84.7%; and Bd3, 0% (p < 0.001). Conclusion: Patients with different gastric cancer Bd grades exhibited significantly different OS and DFS rates. The present study findings suggest that the ITBCC criteria can be used to stratify Bd for the treatment and prognosis of gastric cancer patients in Vietnam.
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Pawlina, Maritza Muzzi Cardozo, Regina de Cássia Rondina, Mariano Martinez Espinosa, and Clóvis Botelho. "Ansiedade e baixo nível motivacional associados ao fracasso na cessação do tabagismo." Jornal Brasileiro de Psiquiatria 63, no. 2 (July 2014): 113–20. http://dx.doi.org/10.1590/0047-2085000000014.
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Objetivo Analisar a associação entre as características sociodemográficas, status do tabagismo, grau de motivação, nível de ansiedade, depressão e de estresse com o fracasso em pacientes de um programa de cessação de tabagismo. Métodos Estudo de corte transversal realizado com pacientes que procuraram os programas de cessação do tabagismo de Cuiabá/MT, Brasil. Todos os fumantes matriculados no início desses programas, durante o período de maio a agosto de 2012, foram convidados a participar deste estudo, totalizando 216 pacientes. Os instrumentos utilizados foram o questionário Perfil Sociodemográfico, Teste de Fagerström (FTND), URICA, Inventário de Ansiedade de Beck (BAI), Inventário de Depressão de Beck (BDI) e Inventário de Sintomas de Stress de Lipp (ISSL). Os dados foram digitados duplamente em programa Epidata versão 3.1, e para análise dos dados foi utilizado um modelo de regressão de Poisson. Resultados Foram encontradas associações do fracasso terapêutico com as seguintes variáveis: faixa etária jovem (RP = 1,68; IC 95% 1,11-2,56); menor tempo de tabagismo (RP = 1,32; IC 95% 1,09-1,61); maior consumo de cigarros/dia (RP = 1,24; IC 95% 1,01-1,52) e menor grau de motivação (RP = 1,55; IC 95% 1,04-2,30). No modelo final (RPa), ficaram associadas ao fracasso as variáveis: menor tempo de tabagismo (RPa 1,53; IC 95% 1,07-2,32), maior carga tabágica (RPa 1,48; IC 95% 1,12-1,95), baixo nível de motivação (RPa 1,58; IC 95% 1,07-2,32) e alto nível de ansiedade (RPa 1,22; IC 95% 1,01-1,48). Conclusão Baixo nível motivacional (Contemplação e Pré-contemplação), alto nível de ansiedade (moderado/grave), menor tempo de tabagismo e alta carga tabágica estão associados ao fracasso terapêutico.
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Toro-Tobar, Ronald Alberto, Francy Lorena Grajales-Giraldo, and Julián Camilo Sarmiento-López. "Riesgo suicida según la tríada cognitiva negativa, ideación, desesperanza y depresión." Aquichan 16, no. 4 (December 1, 2016): 473–86. http://dx.doi.org/10.5294/aqui.2016.16.4.6.
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Objetivo: establecer la relación entre ideación suicida, desesperanza, tríada cognitiva negativa y depresión, como evidencia del modelo cognitivo del riesgo suicida. Método: estudio empírico-analítico con diseño descriptivo, correlacional y comparativo. Las variables fueron medidas con los inventarios BDI-II, PANSI e ITC y la escala BHS. La muestra final estuvo constituida por 90 personas de ambos sexos, con una media de edad de 24,2 años (DT = 8,65 años) pertenecientes a diversos niveles socioeconómicos, con estudios universitarios, principalmente. Resultados: se encontraron correlaciones estadísticamente significativas entre ideación suicida, desesperanza, depresión y la tríada cognitiva negativa. Las diferencias fueron significativas entre los grupos depresivos y no depresivos, con grandes efectos para las tres variables cognitivas. Interpretación y conclusiones: estos resultados constituyen nueva evidencia del modelo cognitivo planteado acerca de la relación entre las variables depresión, tríada cognitiva negativa, ideación suicida y desesperanza, tal como se ha propuesto en distintas revisiones sobre cognición negativa y suicidio. Se analizaron las limitaciones del estudio en cuanto el reducido tamaño muestral y las diferencias entre sexos para depresión ante estresores específicos, y las variaciones por grupos de edades en el riesgo suicida de los jóvenes.
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Gilan, Omer, Inmaculada Rioja, Kathy Knezevic, Matthew J. Bell, Miriam M. Yeung, Nicola R. Harker, Enid Y. N. Lam, et al. "Selective targeting of BD1 and BD2 of the BET proteins in cancer and immunoinflammation." Science 368, no. 6489 (March 19, 2020): 387–94. http://dx.doi.org/10.1126/science.aaz8455.
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The two tandem bromodomains of the BET (bromodomain and extraterminal domain) proteins enable chromatin binding to facilitate transcription. Drugs that inhibit both bromodomains equally have shown efficacy in certain malignant and inflammatory conditions. To explore the individual functional contributions of the first (BD1) and second (BD2) bromodomains in biology and therapy, we developed selective BD1 and BD2 inhibitors. We found that steady-state gene expression primarily requires BD1, whereas the rapid increase of gene expression induced by inflammatory stimuli requires both BD1 and BD2 of all BET proteins. BD1 inhibitors phenocopied the effects of pan-BET inhibitors in cancer models, whereas BD2 inhibitors were predominantly effective in models of inflammatory and autoimmune disease. These insights into the differential requirement of BD1 and BD2 for the maintenance and induction of gene expression may guide future BET-targeted therapies.
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Íñiguez-Berrozpe, Tatiana, Raquel Lozano-Blasco, Alberto Quílez-Robres, and Alejandra Cortés Pascual. "Universitarios y Confinamiento. Factores Socio-personales que Influyen en sus Niveles de Ansiedad y Empatía." Revista Internacional de Educación para la Justicia Social 9, no. 3 (November 28, 2020): 301–16. http://dx.doi.org/10.15366/riejs2020.9.3.016.
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El cierre de los centros educativos, incluidas las universidades, y la orden de estado de alarma, con el consiguiente confinamiento de la población, ha afectado a todos los niños, adolescentes y jóvenes del territorio español. No obstante, mientras la comprensible preocupación por el estado emocional de los niños ha sido evidente por parte de las instituciones y la sociedad en general, menos atención ha recibido la salud mental de los jóvenes universitarios confinados. En el presente artículo exploramos los niveles de ansiedad y empatía de una muestra de n = 124 universitarios, residentes en Aragón, a partir de las escalas Beck-II Depression Inventory (BDI-II) y Baron-Cohen y Wheelwright's Empathy Quotient (EQ), y de los factores socio-personales que les están influyendo durante el estado de alarma. Para ello, tras un análisis preliminar descriptivo y mediante correlaciones, aplicamos un modelo de ecuaciones estructurales (SEM). Los resultados muestran, por un lado, que el sexo del entrevistado, el tipo de hogar (personas con las que convive) y el aumento en el consumo de TV influyen en los niveles de ansiedad. Por otra parte, los niveles de empatía vienen condicionados por la situación laboral de la madre durante el confinamiento y el tener que ayudar a otras personas fuera del hogar.
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Becerra Gálvez, Ana Leticia, Leonardo Reynoso Erazo, and Isaías Vicente Lugo-González. "Terapia de Activación Conductual Breve para la Depresión en mujeres con cáncer de mama: casos clínicos." Psicooncología 17, no. 2 (September 7, 2020): 387–400. http://dx.doi.org/10.5209/psic.71363.
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Introducción: El cáncer suele provocar desafíos para quien lo padece, genera un decremento en la calidad de vida y alteraciones emocionales como la depresión. La experiencia de vivir con cáncer contribuye a la pérdida de rutinas diarias, favoreciendo el aislamiento y comportamientos de evitación. Objetivo: Conocer la eficacia de una intervención basada en el protocolo revisado de la Terapia de Activación Conductual Breve para la Depresión (BATD- R por sus siglas en inglés) sobre los síntomas de depresión y calidad de vida relacionada a la salud (CVRS) en mujeres con cáncer de mama. Método: Participaron seis mujeres en etapa de remisión del cáncer de mama con un rango de edad de 31 a 75 años (M=50,50 DT=15,7) de tres hospitales de tercer nivel de la Ciudad de México. La intervención estuvo constituida por seis sesiones semanales de una hora. El procedimiento incluyó: psicoeducación y presentación del tratamiento, selección de actividades considerando áreas de vida y valores, selección de actividades-metas, establecimiento de duración/frecuencia de las actividades elegidas y monitoreo semanal. Con el uso del análisis funcional de la conducta se determinó el empleo de otras técnicas complementarias. Resultados: Las seis pacientes presentaron una disminución clínicamente significativa según las puntuaciones del BDI-II (RCIJT= 2,55-4,58). Las pacientes dos, cuatro y cinco fueron quienes presentaron mejores resultados en la CVRS y un cambio clínico significativo (RCIJT= -2,01 a -5,44). Conclusiones: El protocolo BATD-R derivado del modelo de Activación Conductual, resulta ser una herramienta muy útil, flexible y fácil de utilizar en contextos hospitalarios.
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Sæmundsson, Bragi R., Fanney Þórsdóttir, Hafrún Kristjánsdóttir, Daníel Þ. Ólason, Jakob Smári, and Jón F. Sigurðsson. "Psychometric Properties of the Icelandic Version of the Beck Anxiety Inventory in a Clinical and a Student Population." European Journal of Psychological Assessment 27, no. 2 (January 2011): 133–41. http://dx.doi.org/10.1027/1015-5759/a000059.
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The Beck Anxiety Inventory (BAI) is a widely used anxiety scale in clinical practice as well as in research. In the present study the objective was to assess the psychometric properties of the Icelandic version of the BAI in a patient and a student population. There was a total of 1674 participants, 607 outpatients and 1067 students. All participants completed the BAI and a subgroup of the students completed additional measures of anxiety and depression as well. A subgroup of the students also completed the BAI on a second occasion. Most of the patients completed the Beck Depression Inventory-II (BDI-II). All patients were diagnosed with the Mini-International Neuropsychiatric Interview. Both internal consistency reliability and test-retest reliability were excellent. Convergent and divergent validity were supported. The BAI showed discriminant validity both with regard to discriminating anxiety disorder patients from other patients and panic disorder patients from other anxiety disorder patients. Confirmatory factor analyses revealed excellent support for a one-factor model in the student population, which was superior to the alternative two- and four-factor models. The four-factor model was, however, supported in the patient population whereas the one- and two-factor models were not. It is concluded that the psychometric properties of the Icelandic version of the BAI are satisfactory.
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Thom, Robyn Pauline, David S. Bickham, and Michael Rich. "Internet Use, Depression, and Anxiety in a Healthy Adolescent Population: Prospective Cohort Study." JMIR Mental Health 5, no. 2 (May 22, 2018): e44. http://dx.doi.org/10.2196/mental.8471.
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Background Psychiatric disorders, including conduct disturbances, substance abuse, and affective disorders, emerge in approximately 20% of adolescents. In parallel with the rise in internet use, the prevalence of depression among adolescents has increased. It remains unclear whether and how internet use impacts mental health in adolescents. Objective We assess the association between patterns of internet use and two mental health outcomes (depression and anxiety) in a healthy adolescent population. Methods A total of 126 adolescents between the ages of 12 and 15 years were recruited. Participants reported their typical computer and internet usage patterns. At baseline and one-year follow-up, they completed the Beck Depression Index for primary care (BDI-PC) and the Beck Anxiety Inventory for Primary Care (BAI-PC). Individual linear regressions were completed to determine the association between markers of internet use at baseline and mental health outcomes at one-year follow-up. All models controlled for age, gender, and ethnicity. Results There was an inverse correlation between minutes spent on a favorite website per visit and BAI-PC score. No association was found between internet use and BDI-PC score. Conclusions There is no relationship between internet use patterns and depression in adolescents, whereas internet use may mitigate anxiety in adolescents with higher levels of baseline anxiety.
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Ge, Yulong, Xinyun Cao, Fei Shen, Xuhai Yang, and Shengli Wang. "BDS-3/Galileo Time and Frequency Transfer with Quad-Frequency Precise Point Positioning." Remote Sensing 13, no. 14 (July 9, 2021): 2704. http://dx.doi.org/10.3390/rs13142704.
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In this work, quad-frequency precise point positioning (PPP) time and frequency transfer methods using Galileo E1/E5a/E5b/E5 and BDS-3 B1I/B3I/B1C/B2a observations were proposed with corresponding mathematical models. In addition, the traditional dual-frequency (BDS-3 B1I/B3I and Galileo E1/E5a) ionospheric-free (IF) model was also described and tested for comparison. To assess the proposed method for time transfer, datasets selected from timing labs were utilized and tested. Moreover, the number of Galileo or BDS-3 satellites, pseudorange residuals, positioning accuracy and tropospheric delay at receiver end were all analyzed. The results showed that the proposed quad-frequency BDS-3 or Galileo PPP models could be used to time transfer, due to stability and accuracy identical to that of dual-frequency IF model. Furthermore, the quad-frequency models can provide potential for enhancing the reliability and redundancy compared to the dual-frequency time transfer method.
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Miranda, M., S. Kaur, M. Slugh, C. Bermudez-Andrews, C. Millan, K. Fernandez – McInerney, A. M. Kanner, et al. "Intellectual, Psychological, and Clinical Predictors of Quality of Life in Patients with Epilepsy from a Level IV Epilepsy Center in South Florida." Archives of Clinical Neuropsychology 34, no. 7 (August 30, 2019): 1262. http://dx.doi.org/10.1093/arclin/acz029.29.
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Abstract Objective To examine clinical, cognitive, and psychological predictors of Quality of Life (QOL) among Hispanics and non-Hispanics with epilepsy. Participants and Method Data was collected from 90 patients (52 Hispanic; H, 38 Non-Hispanic; NH) diagnosed with epilepsy and referred for neuropsychological evaluation that included measures of depression (BDI-II), anxiety (BAI), and QOL using the Personal Impact of Epilepsy Scale (PIES). We conducted multiple linear regression models with patient’s full-scale IQ, age of seizure onset, duration of seizure disorder, and anxiety and depression symptom severity entered as predictors, with the PIES as outcome measure. Results There were no significant differences between H and NH on any demographic or clinical variable except for longer duration of seizure disorder (t = 2.20, p = 0.03) in H. For the complete sample, higher FSIQ predicted better QOL in relation to the perceived disabling effects of seizures (β = .28, p =.02), higher BDI-II scores predicted more negative medication side effects and greater mood related disruption in QOL (β = -2.27, p =.03; β = -3.82, p =.00), and higher BAI scores were the best predictor for worse overall QOL (β = -.29, p = .05). When the sample was divided according to ethnic background, longer seizure duration was associated with the adverse effects of less medication in the H group (β = .32, p =.04), with all other findings being identical to those of the complete sample. When results for NH patients were analyzed, none of the intellectual, psychological and clinical variables were significantly associated with any of the QOL scales; however, the relationship between the BAI and comorbid mood dysfunction approached significance (β = -1.45, p = .059). Conclusions Our data indicates that overall QOL was primarily predicted by the severity of anxiety symptoms, but not influenced by overall intelligence, symptoms of depression, and clinical seizure variables.
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Rohrschneider, Klaus. "Depression und Angst bei Glaukom." Kompass Ophthalmologie 7, no. 3 (2021): 136–37. http://dx.doi.org/10.1159/000518800.
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Glaucoma is considered a chronic disease that requires lifelong management. Chronic diseases are known to be highly associated with psychological disturbances such as depression and anxiety. There have also been many studies on association between anxiety or depression and glaucoma. The majority of these studies explained that the glaucoma diagnosis causes anxiety or depression. However, It is also necessary to evaluate whether the psychological disturbance itself affect glaucoma. Therefore, we investigated the association of anxiety and depression with glaucoma progression, and elucidate mechanisms underlying that. We included 251 eyes with open angle glaucoma who were followed up for at least 2 years in this retrospective case-control study. The Beck Anxiety Inventory (BAI) and Beck Depressive Inventory-II (BDI-II) were used to assess anxiety and depression in glaucoma patients. Patients were classified into groups (high-anxiety group; HA-G, low-anxiety group; LA-G, high-depression group; HD-G, low-depression group; LD-G) according to their score on the BAI or BDI-II (separately). In logistic regression analysis, disc hemorrhage, peak intraocular pressure (IOP) and RNFL thickness loss rate were significantly associated with high anxiety (p = 0.017, p = 0.046, p = 0.026). RNFL thinning rate and disc hemorrhage were significant factors associated with anxiety in multivariate models (p = 0.015, p = 0.019). Multivariate linear regression analysis showed a significant positive correlation between the rate of RNFL thickness loss and BAI score (B = 0.058; 95% confidential interval = 0.020–0.097; p = 0.003), and RNFL loss and IOP fluctuation (B = 0.092; 95% confidential interval = 0.030–0.154; p = 0.004). For the depression scale, visual field mean deviation and heart rate variability were significantly associated with high depression in multivariate logistic regression analysis (p = 0.003, p = 0.006). We suggest that anxiety increase the risk of glaucoma progression and they are also associated with IOP profile and disc hemorrhage.
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Kamal, Imam Mustafa, Hyerim Bae, Sim Sunghyun, and Heesung Yun. "DERN: Deep Ensemble Learning Model for Short- and Long-Term Prediction of Baltic Dry Index." Applied Sciences 10, no. 4 (February 22, 2020): 1504. http://dx.doi.org/10.3390/app10041504.
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The Baltic Dry Index (BDI) is a commonly utilized indicator of global shipping and trade activity. It influences stakeholders’ and ship-owners’ decisions respecting investments, chartering, operational plans, and export and import activities. Accurate prediction of the BDI is very challenging due to its volatility, non-stationarity, and complexity. To help stakeholders and ship-owners make sound short- and long-term maritime business decisions and avoid market risk, we performed short- and long-term predictions of BDI using an ensemble deep-learning approach. In this study, we propose to apply recurrent neural network models for BDI prediction. The state-of-the-art of sequential deep-learning models such as RNN, LSTM, and GRU are employed to predict one- and multi-step-ahead BDI values. In order to increase the accuracy, we assemble the models. In experiments, we compared our results with those of traditional methods such as ARIMA and MLP. The results showed that our proposed method outperforms ARIMA, MLP, RNN, LSTM, and GRU in both short- and long-term prediction of BDI.
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LORINI, EMILIANO, and CRISTIANO CASTELFRANCHI. "THE UNEXPECTED ASPECTS OF SURPRISE." International Journal of Pattern Recognition and Artificial Intelligence 20, no. 06 (September 2006): 817–33. http://dx.doi.org/10.1142/s0218001406004983.
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Some symbolic AI models, for example, BDI (belief, desire, intention) models are conceived as explicit and operational models of the intentional pursuit and belief dynamics. The main concern of these models is to provide a clear understanding of the functional roles of different kinds of epistemic and motivational states (beliefs, acceptances, expectations, intentions, goals, desires, etc. …), of the relational properties among them. Mental configurations of appraisal (involving different kinds of motivational and epistemic states) which correspond to particular cognitive emotions such as disappointment, fear, relief, shame, etc. … have been analyzed by several authors close to the BDI theoretical tradition. The main objective of this work is a formal analysis of Surprise in a BDI-like cognitive architecture. A clarification of the functional role of Surprise in a BDI-like cognitive architecture with respect to resource bounded belief revision is given.
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Liu, Pan. "Decision-Making and Coordination of a Three-Stage Book Supply Chain considering Big Data Information Cost." Mathematical Problems in Engineering 2019 (May 16, 2019): 1–14. http://dx.doi.org/10.1155/2019/9017690.
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In the Big Data era, Big Data Information (BDI) has been used in the book supply industry. Data Company as an important BDI supplier should be included in a book supply chain. Thus, to explore the investment decision-making problems of BDI and its effects on the coordination and pricing rules of book supply chain, a three-stage book supply chain with one book publisher, one retailer, and one Data Company was chosen. Meanwhile, four benefit models about BDI investment were proposed and analyzed in the environments of symmetry information and asymmetric information. A revenue sharing contract was used to achieve book supply chain coordination. Findings: whether the book publisher and the retailer were suitable to invest in BDI, it was influenced by the cost improvement coefficient. With the ascent of the cost improvement coefficient, benefits of supply chain members will reduce, and, in different investment models, their prices show different change trends with the cost improvement coefficient.
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Hu, Jun, and Yang Yu. "A Policy-Oriented Reputation BDI Model." Applied Mechanics and Materials 34-35 (October 2010): 707–11. http://dx.doi.org/10.4028/www.scientific.net/amm.34-35.707.
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Computational trust and reputation models have been recognized as one of the key technologies required to design and implement agent systems. These models manage and aggregate the information needed by agents to efficiently perform partner selection in uncertain situations. In this paper, by taking advantage of the non-monotonic knowledge representation and reasoning mechanisms of defeasible logic, a reputation-Oriented Agent model is proposed, which is capable of accepting policy guidance, the real-time rule modifications, and handling the run-time rule conflicts. This agent is both autonomous and controllable, and is able to cooperate with other Agents via contracts in an open and dynamic environment.
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Hsissi, Anass, Hakim Allali, and Abdelmajid Hajami. "Metacognitive Scaffolding Agent Based on BDI Model for Interactive Learning Environments." International Journal of Computer and Communication Engineering 3, no. 2 (2014): 97–100. http://dx.doi.org/10.7763/ijcce.2014.v3.299.
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Adam, Carole, Patrick Taillandier, Julie Dugdale, and Benoit Gaudou. "BDI vs FSM Agents in Social Simulations for Raising Awareness in Disasters." International Journal of Information Systems for Crisis Response and Management 9, no. 1 (January 2017): 27–44. http://dx.doi.org/10.4018/ijiscram.2017010103.
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Each summer in Australia, bushfires burn many hectares of forest, causing deaths, injuries, and destroying property. Agent-based simulation is a powerful tool to test various management strategies on a simulated population, and to raise awareness of the actual population behaviour. But valid results depend on realistic underlying models. This article describes two simulations of the Australian population's behaviour during bushfires designed in previous work, one based on a finite-state machine architecture, the other based on a belief-desire-intention agent architecture. It then proposes several contributions towards more realistic agent-based models of human behaviour: a methodology and tool for easily designing BDI models; a number of objective and subjective criteria for comparing agent-based models; a comparison of our two models along these criteria, showing that BDI provides better explanability and understandability of behaviour, makes models easier to extend, and is therefore best adapted; and a discussion of possible extensions of BDI models to further improve their realism.
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Liu, Pan. "Pricing Strategies of a Three-Stage Supply Chain: A New Research in the Big Data Era." Discrete Dynamics in Nature and Society 2017 (2017): 1–16. http://dx.doi.org/10.1155/2017/9024712.
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In the Big Data era, Data Company as the Big Data information (BDI) supplier should be included in a supply chain. In the new situation, to research the pricing strategies of supply chain, a three-stage supply chain with one manufacturer, one retailer, and one Data Company was chosen. Meanwhile, considering the manufacturer contained the internal and external BDI, four benefit models about BDI investment were proposed and analyzed in both decentralized and centralized supply chain using Stackelberg game. Meanwhile, the optimal retail price and benefits in the four models were compared. Findings are as follows. (1) The industry cost improvement coefficient, the internal BDI investment cost of the manufacturer, and the added cost of the Data Company on using Big Data technology have different relationships with the optimal prices of supply chain members in different models. (2) In the retailer-dominated supply chain model, the optimal benefits of the retailer and the manufacturer are the same, and the optimal benefits of the Data Company are biggest in all the members.
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McElroy, E., P. Casey, G. Adamson, P. Filippopoulos, and M. Shevlin. "A comprehensive analysis of the factor structure of the Beck Depression Inventory-II in a sample of outpatients with adjustment disorder and depressive episode." Irish Journal of Psychological Medicine 35, no. 1 (October 24, 2017): 53–61. http://dx.doi.org/10.1017/ipm.2017.52.
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ObjectivesDespite being commonly used in research and clinical practice, the evidence regarding the factor structure of the Beck Depression Inventory-II (BDI-II) remains equivocal and this has implications on how the scale scores should be aggregated. Researchers continue to debate whether the BDI-II is best viewed as a unidimensional scale, or whether specific subscales have utility. The present study sought to test a comprehensive range of competing factor analytic models of the BDI-II, including traditional non-hierarchical multidimensional models and confirmatory bifactor models.MethodParticipants (n=370) were clinical outpatients diagnosed with either depressive episode or adjustment disorder. Confirmatory factor analysis and confirmatory bifactor modelling were used to test 15 competing models. The unidimensionality of the best fitting model was assessed using three strength indices (explained common variance, percentage of uncontaminated correlations and ω hierarchical).ResultsOverall, bifactor solutions provided superior fit than both unidimensional and non-hierarchical multidimensional models. The best fitting model consisted of a general depression factor and three specific factors: cognitive, somatic and affective. High factor loadings and strength indices for the general depression factor supported the view that the BDI-II measures a single latent construct.ConclusionsThe BDI-II should primarily be viewed as a unidimensional scale, and should be scored as such. Although it is not recommended that scores on individual subscales are used in isolation, they may prove useful in clinical assessment and/or treatment planning if used in conjunction with total scores.
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Leuzinger-Bohleber, Marianne, Martin Hautzinger, Georg Fiedler, Wolfram Keller, Ulrich Bahrke, Lisa Kallenbach, Johannes Kaufhold, et al. "Outcome of Psychoanalytic and Cognitive-Behavioural Long-Term Therapy with Chronically Depressed Patients: A Controlled Trial with Preferential and Randomized Allocation." Canadian Journal of Psychiatry 64, no. 1 (November 1, 2018): 47–58. http://dx.doi.org/10.1177/0706743718780340.
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Objective: For chronic depression, the effectiveness of brief psychotherapy has been limited. This study is the first comparing the effectiveness of long-term cognitive-behavioural therapy (CBT) and long-term psychoanalytic therapy (PAT) of chronically depressed patients and the effects of preferential or randomized allocation. Methods: A total of 252 adults met the inclusion criteria (aged 21-60 years, major depression, dysthymia, double depression for at least 24 months, Quick Inventory of Depressive Symptoms [QIDS] >9, Beck Depression Inventory II [BDI] >17, informed consent, not meeting exclusion criteria). Main outcome measures were depression self-rating (BDI) and rating (clinician-rated QIDS [QIDS-C]) by independent, treatment-blinded clinicians. Full remission rates (BDI ≤12, QIDS-C ≤5) were calculated. An independent center for data management and biostatistics analyzed the treatment effects and differences using linear mixed models (multilevel models and hierarchical models). Results: The average BDI declined from 32.1 points by 12.1 points over the first year and 17.2 points over 3 years. BDI overall mean effect sizes increased from d = 1.17 after 1 year to d = 1.83 after 3 years. BDI remission rates increased from 34% after 1 year to 45% after 3 years. QIDS-C overall effect sizes increased from d = 1.56 to d = 2.08, and remission rates rose from 39% after 1 year to 61% after 3 years. We found no significant differences between PAT and CBT or between preferential and randomized allocation. Conclusions: Psychoanalytic as well as cognitive-behavioural long-term treatments lead to significant and sustained improvements of depressive symptoms of chronically depressed patients exceeding effect sizes of other international outcome studies.
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Veerman, J. L., C. Dowrick, J. L. Ayuso-Mateos, G. Dunn, and J. J. Barendregt. "Population prevalence of depression and mean Beck Depression Inventory score." British Journal of Psychiatry 195, no. 6 (December 2009): 516–19. http://dx.doi.org/10.1192/bjp.bp.109.066191.
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BackgroundFor some phenomena the mean of population distributions predicts the proportion of people exceeding a threshold value.AimsTo investigate whether in depression, too, the population mean predicts the number of individuals at the extreme end of the distribution.MethodWe used data from the European Outcome in Depression International Network (ODIN) study from populations in Finland, Norway and the UK to create models that predicted the prevalence of depression based on the mean Beck Depression Inventory (BDI) score. The models were tested on data from Ireland and Spain.ResultsMean BDI score correlated well with the prevalence of depression determined by clinical interviews. A model based on the beta distribution best fitted the BDI distribution. Both models predicted the depression prevalence in Ireland and Spain fairly well.ConclusionsThe mean of a continuous population distribution of mood predicts the prevalence of depression. Characteristics of both individuals and populations determine depression rates.
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Adam, Carole, and Benoit Gaudou. "BDI agents in social simulations: a survey." Knowledge Engineering Review 31, no. 3 (June 2016): 207–38. http://dx.doi.org/10.1017/s0269888916000096.
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AbstractModelling and simulation have long been dominated by equation-based approaches, until the recent advent of agent-based approaches. To curb the resulting complexity of models, Axelrod promoted the KISS principle: ‘Keep It Simple, Stupid’. But the community is divided and a new principle appeared: KIDS, ‘Keep It Descriptive, Stupid’. Richer models were thus developed for a variety of phenomena, while agent cognition still tends to be modelled with simple reactive particle-like agents. This is not always appropriate, in particular in the social sciences trying to account for the complexity of human behaviour. One solution is to model humans as belief, desire and intention (BDI) agents, an expressive paradigm using concepts from folk psychology, making it easier for modellers and users to understand the simulation. This paper provides a methodological guide to the use of BDI agents in social simulations, and an overview of existing methodologies and tools for using them.
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Nair, R., and M. Tambe. "Hybrid BDI-POMDP Framework for Multiagent Teaming." Journal of Artificial Intelligence Research 23 (April 1, 2005): 367–420. http://dx.doi.org/10.1613/jair.1549.
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Many current large-scale multiagent team implementations can be characterized as following the ``belief-desire-intention'' (BDI) paradigm, with explicit representation of team plans. Despite their promise, current BDI team approaches lack tools for quantitative performance analysis under uncertainty. Distributed partially observable Markov decision problems (POMDPs) are well suited for such analysis, but the complexity of finding optimal policies in such models is highly intractable. The key contribution of this article is a hybrid BDI-POMDP approach, where BDI team plans are exploited to improve POMDP tractability and POMDP analysis improves BDI team plan performance. Concretely, we focus on role allocation, a fundamental problem in BDI teams: which agents to allocate to the different roles in the team. The article provides three key contributions. First, we describe a role allocation technique that takes into account future uncertainties in the domain; prior work in multiagent role allocation has failed to address such uncertainties. To that end, we introduce RMTDP (Role-based Markov Team Decision Problem), a new distributed POMDP model for analysis of role allocations. Our technique gains in tractability by significantly curtailing RMTDP policy search; in particular, BDI team plans provide incomplete RMTDP policies, and the RMTDP policy search fills the gaps in such incomplete policies by searching for the best role allocation. Our second key contribution is a novel decomposition technique to further improve RMTDP policy search efficiency. Even though limited to searching role allocations, there are still combinatorially many role allocations, and evaluating each in RMTDP to identify the best is extremely difficult. Our decomposition technique exploits the structure in the BDI team plans to significantly prune the search space of role allocations. Our third key contribution is a significantly faster policy evaluation algorithm suited for our BDI-POMDP hybrid approach. Finally, we also present experimental results from two domains: mission rehearsal simulation and RoboCupRescue disaster rescue simulation.
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Keskitalo-Vuokko, Kaisu, Tellervo Korhonen, and Jaakko Kaprio. "Gene–Environment Interactions Between Depressive Symptoms and Smoking Quantity." Twin Research and Human Genetics 19, no. 4 (May 10, 2016): 322–29. http://dx.doi.org/10.1017/thg.2016.36.
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We investigated genetic and environmental correlations and gene by environment interactions (GxE) between depressive symptoms measured by the Beck Depression Inventory (BDI) and quantity smoked measured by number of cigarettes smoked per day (CPD) using quantitative genetic modeling. The population-based sample consisted of 12,063 twin individuals from the Finnish Twin Cohort Study. Bivariate Cholesky decomposition revealed that the phenotypic correlation (r = 0.09) between BDI and CPD was explained by shared genetic (rg = 0.18) and environmental (re = 0.08) factors. GxE models incorporating moderator effects were built by using CPD as trait and BDI as moderator and vice versa. The importance of the genetic variance component increased with increasing moderator value in both models. Thus, the influence of genetic effects on variance of smoking quantity was enhanced in individuals with elevated depression score and vice versa; the genetic effects on depression variance were potentiated among heavy smokers. In conclusion, shared genetic and environmental factors as well as GxE underlie the association of smoking with depression.
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Malhi, Gin S., Yulisha Byrow, Kristina Fritz, Pritha Das, Bernhard T. Baune, Richard J. Porter, and Tim Outhred. "Mood disorders: neurocognitive models." Bipolar Disorders 17 (December 2015): 3–20. http://dx.doi.org/10.1111/bdi.12353.
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Martinez, D., M. Yeh, L. Oliveira, B. Coimbra, A. F. Mello, D. Poyares, S. Tufik, and M. F. Mello. "1079 Is PTSD In Young Women Associated With Rem Sleep Abnormalities?" Sleep 43, Supplement_1 (April 2020): A411. http://dx.doi.org/10.1093/sleep/zsaa056.1075.
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Abstract Introduction The increase in violence against young women has a high impact on the prevalence of Posttraumatic stress disorder (PTSD). The lifetime prevalence of PTSD is twice as high in women. However, most studies assessing sleep disturbances in PTSD were conducted predominantly in male samples and combat veterans. Objective: To analyze the sleep of young women with and without PTSD. Hypothesis: Women with PTSD have worse sleep quality, higher arousability, and higher muscle activity during REM sleep. Methods Case-controlled study with young women. Seventy-four women who suffered sexual assault and developed PTSD (DSM-5); and 64 women from the community without PTSD. Women were recruited from the PTSD outpatient clinic (Universidade Federal de São Paulo, Brazil).Clinician-Administered Posttraumatic Stress Scale (CAPS 5), Beck Depression and Anxiety Inventories (BDI) (BAI), full in-lab Polysomnography (PSG), Epworth Sleepiness Scale (ESS), Pittsburgh Sleep Quality Índex (PSQI), Fatigue Impact Scale (FIS), and Insomnia Severity Índex (ISI) were applied to all participants. Analysis of variance, regression models, and general linear modeling were used. Results Patients mean age was 28 vs 24 for the control group (p=0.004). CAPS mean score in PTSD-group was 42.5±9.1. BDI, BAI, FIS, PSQI, ISI scores were worse in PTSD-group (p<0.05, all). Pittsburgh Sleep Quality Index (PSQI) score was significantly associated with CAPS 5 independently of depression, fatigue, and sleep fragmentation. The PTSD women had lower total sleep time (p= 0.01) and lower REM sleep percentage (p=0.04). However, the control group had higher arousal index (p=.0.01) and had higher muscle activity during REM sleep (p=0.03) than PTSD. Conclusion Women with PTSD had significantly worse score in PSQI, FIS, and ISI. PSQI score was associated with PTSD severity. However, when PSG results are concerned, we found higher sleep fragmentation in the control group. We speculate that women with PTSD may have felt safer and taken care of in the lab, which might explain the difference between objective and subjective measures of sleep quality in PTSD. Support Acknowledgments: FAPESP: Fundação de Apoio à pesquisa de São Paulo, AFIP: Associação Incentivo a Pesquisa
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Parro-Pires, Daniela Betinassi, Luiz Antônio Nogueira-Martins, and Vanessa de Albuquerque Citero. "Interns’ depressive symptoms evolution and training aspects: a prospective cohort study." Revista da Associação Médica Brasileira 64, no. 9 (September 2018): 806–13. http://dx.doi.org/10.1590/1806-9282.64.09.806.
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SUMMARY OBJECTIVE To study depression symptoms’ incidence of medical interns (first year of medical residency) and its correlation with occupational characteristics, satisfaction and stress about their training program. METHODS Prospective Cohort Study conducted at Escola Paulista de Medicina, Universidade Federal de São Paulo. First year residents, N = 166, from a teaching hospital were invited to answer the Beck Depression Inventory (BDI) and an occupational questionnaire in a prospective longitudinal study. BDI score variation was related with socio-demographic aspects and occupational characteristics using linear regression models. RESULTS 111 subjects participated (67%); the BDI-score increased in 8 months (mean = 2.75 ± 3.29 vs. 7.00 ± 5.66; p<0.0001). The depressive symptoms’ incidence was 9.01% (score>15). BDI-score variation had mean = 4.25 ± 4.93, ranging from -8 to 28. Residents not satisfied with professional training acquired (β = 3.44; p = 0.004), with their personal life (β = 2.97; p = 0.001), or who felt stressed in the relationship with senior residents (β = 2.91; p = 0.015) presented 3 more points of BDI-score after 8 months comparing to those without these perceptions; and being unsatisfied with the nursing team increased BDI-score after 8 months in 2 more points (β = 1.95; p = 0.025). CONCLUSION Among the factors that interfere with depression in interns is the occupational characteristics, which might be enhanced by the training facility. Addressing these dissatisfaction and stressful issues should help the university provide better care of interns’ mental health.
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Kaj, Ingemar, and Martin Lascoux. "Probability of Identity by Descent in Metapopulations." Genetics 152, no. 3 (July 1, 1999): 1217–28. http://dx.doi.org/10.1093/genetics/152.3.1217.
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Abstract Equilibrium probabilities of identity by descent (IBD), for pairs of genes within individuals, for genes between individuals within subpopulations, and for genes between subpopulations are calculated in metapopulation models with fixed or varying colony sizes. A continuous-time analog to the Moran model was used in either case. For fixed-colony size both propagule and migrant pool models were considered. The varying population size model is based on a birth-death-immigration (BDI) process, to which migration between colonies is added. Wright's F statistics are calculated and compared to previous results. Adding between-island migration to the BDI model can have an important effect on the equilibrium probabilities of IBD and on Wright's index.
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Sipowicz, Kasper, Marlena Podlecka, Łukasz Mokros, and Tadeusz Pietras. "Lonely in the City–Sociodemographic Status and Somatic Morbidities as Predictors of Loneliness and Depression among Seniors–Preliminary Results." International Journal of Environmental Research and Public Health 18, no. 14 (July 6, 2021): 7213. http://dx.doi.org/10.3390/ijerph18147213.
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Up to a third of the population of older adults has been estimated to suffer from feelings of loneliness, which is considered a risk factor of depression. The aim of this paper is to compare the perceived level of loneliness and depression in seniors living in the country and in the cities and assess somatic morbidity and sociodemographic status as predictors of loneliness and depressiveness. n = 92 older adults in primary care units filled out a set of questionnaires: authors’ survey on sociodemographic data and morbidities, Beck Depression Inventory II (BDI, to measure depressiveness) and De Jong Gierveld Loneliness Scale (DJGLS, to assess loneliness). There was a strong, positive and statistically significant correlation between the BDI and DJGLS scores (R = 0.855, p < 0.001). City residents had on average higher BDI and DJGLS scores. Linear regression models were constructed to predict BDI and DJGLS scores. The set of statistically significant predictors were similar for BDI and DJGLS. Sociodemographic status and somatic morbidities accounted for around 90% of variance of depressiveness and loneliness scores in the studied group. Living alone was found to be the strongest relative predictor of both loneliness and depressiveness in the studied sample of the older adults. Our current results suggest that there might be a need to improve social support in the late adulthood as an intervention to diminish the sense of loneliness and depressiveness.
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Janicic, Bojan, Ljiljana Mihic, and Zdenka Novovic. "Dimensionality and measurement invariance of the Serbian version of the BDI-II: An IRT approach." Psihologija, no. 00 (2020): 27. http://dx.doi.org/10.2298/psi200318027j.
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There have been debates about the dimensionality of the Beck?s Depression Inventory - II, its appropriate scoring, and gender-related measurement invariance. We addressed these questions employing the Item Response Theory approach in a clinical sample of 288 patients, using a Serbian version of the BDI-II. We tested nine structural models using confirmatory Full Information Factor Analysis and IRT Graded Response Model. We concluded that the BDI-II is essentially unidimensional. All items had high discrimination, and the test was most informative in the medium range of depression severity in the clinical sample. Although small to medium gender related differential item functioning existed in several items, it did not affect the total score. Hence, the total score of the Serbian translation of the BDI-II is comparable between genders as a measure of severity of depression.
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Du, Zhicheng, Lin Xu, Wangjian Zhang, Dingmei Zhang, Shicheng Yu, and Yuantao Hao. "Predicting the hand, foot, and mouth disease incidence using search engine query data and climate variables: an ecological study in Guangdong, China." BMJ Open 7, no. 10 (October 2017): e016263. http://dx.doi.org/10.1136/bmjopen-2017-016263.
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ObjectivesHand, foot, and mouth disease (HFMD) has caused a substantial burden in China, especially in Guangdong Province. Based on the enhanced surveillance system, we aimed to explore whether the addition of temperate and search engine query data improves the risk prediction of HFMD.DesignEcological study.Setting and participantsInformation on the confirmed cases of HFMD, climate parameters and search engine query logs was collected. A total of 1.36 million HFMD cases were identified from the surveillance system during 2011–2014. Analyses were conducted at aggregate level and no confidential information was involved.Outcome measuresA seasonal autoregressive integrated moving average (ARIMA) model with external variables (ARIMAX) was used to predict the HFMD incidence from 2011 to 2014, taking into account temperature and search engine query data (Baidu Index, BDI). Statistics of goodness-of-fit and precision of prediction were used to compare models (1) based on surveillance data only, and with the addition of (2) temperature, (3) BDI, and (4) both temperature and BDI.ResultsA high correlation between HFMD incidence and BDI (r=0.794, p<0.001) or temperature (r=0.657, p<0.001) was observed using both time series plot and correlation matrix. A linear effect of BDI (without lag) and non-linear effect of temperature (1 week lag) on HFMD incidence were found in a distributed lag non-linear model. Compared with the model based on surveillance data only, the ARIMAX model including BDI reached the best goodness-of-fit with an Akaike information criterion (AIC) value of −345.332, whereas the model including both BDI and temperature had the most accurate prediction in terms of the mean absolute percentage error (MAPE) of 101.745%.ConclusionsAn ARIMAX model incorporating search engine query data significantly improved the prediction of HFMD. Further studies are warranted to examine whether including search engine query data also improves the prediction of other infectious diseases in other settings.
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Ta, T. M. T., S. Wolf, M. H. Nguyen, M. Dettling, and E. Hahn. "Relationship between migration-stressors and self-reported symptoms of depression in an outpatient sample of Vietnamese migrants in Germany." European Psychiatry 41, S1 (April 2017): S340—S341. http://dx.doi.org/10.1016/j.eurpsy.2017.02.301.
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IntroductionVietnamese migrants under the influence of migration-related stressors (MRS) represent a vulnerable group within the mental health care system in Germany.AimsFirst study examining the relationship between the quantity of experienced MRS and the severity of self-reported symptoms of depression in a Vietnamese outpatient-sample.Methods137 first-generation Vietnamese migrants diagnosed with depression were asked to complete the BDI-II and 24 questions about stressful experiences related to the migration process. Linear regression models was performed to examine the influence of the MRS-quantity on BDI-II total score and on BDI-II subscales (Buckley et al., 2001).ResultsA higher number of experienced MRS was found to be related to a higher BDI-II total score, as well as to a higher score on the cognitive subscale in particular. Regarding the cognitive depression-dimension the BDI-II items pessimism, past failure, guilt feelings, punishment feelings and suicidal thoughts were positively related to the MRS-quantity.Discussion and conclusionA dose-response-relationship was found, with a higher number of MRS being related to a higher severity level of self-reported depressiveness as well as to a higher level of cognitive depression-symptoms in particular. The increase in suicidal ideations in the light of MRS-exposure is in line with findings from other migrant populations. Therapeutic interventions may focus (more) on depressive cognitions as a result of recurring MRS-experiences. Special attention should be placed on suicidal thoughts being boosted by MRS.Disclosure of interestThe authors have not supplied their declaration of competing interest.
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Keller, Ferdinand, Markus Hoffmann, and Gerd Weithmann. "Psychometrische Eigenschaften des Beck-Depressionsinventars (BDI) bei Alkoholabhängigen." Zeitschrift für Klinische Psychologie und Psychotherapie 31, no. 3 (July 2002): 169–77. http://dx.doi.org/10.1026/0084-5345.31.3.169.
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Zusammenfassung. Theoretischer Hintergrund: Eine standardisierte Erfassung von Depressivität wird bei Alkoholabhängigen dadurch erschwert, dass Alkohol bzw. Alkoholentzug zu depressiven Verstimmungen und vegetativer Symptomatik führen kann. Gängige Messinstrumente zur Depression sind außerdem nicht für Alkoholikergruppen entwikkelt und an diesen bisher kaum überprüft worden. Fragestellung: Die Studie untersucht die psychometrischen Eigenschaften des Beck-Depressionsinventars (BDI) bei Alkoholikern. Methode: Es wurde eine unausgelesene Stichprobe von 665 Alkoholikern (143 Frauen, 522 Männer) in stationärer Behandlung analysiert. Ergebnisse: Die interne Konsistenz des BDI war mit 0,90 hoch. Analysen mit dem ordinalen Rasch-Modell ergaben jedoch, dass die Kategorie 3 in drei Items nicht den theoriekonformen Schweregrad abbildet. Bedeutsame Geschlechtsunterschiede waren nicht zu verzeichnen. Verkürzte Skalen mit sieben bzw. neun Items, die aufgrund inhaltlicher und empirischer Vorgaben gebildet wurden, weisen ebenfalls noch hohe Reliabilität auf, ebenso eine nur aus drei Items bestehende Kernsymptom-Skala. Schlussfolgerung: Die Reliabilität des BDI ist hoch, doch wird wegen insgesamt besserer psychometrischer Eigenschaften der Gebrauch der Subskalen empfohlen. Deren prognostische Validität zur frühzeitigen Differenzierung von Alkoholpatienten mit und ohne zusätzliche depressive Störung muss jedoch noch bestätigt werden.
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Hodes, Anastasia, Haim Rosen, Joseph Deutsch, Tzuri Lifschytz, Haim Einat, and David Lichtstein. "Endogenous cardiac steroids in animal models of mania." Bipolar Disorders 18, no. 5 (July 9, 2016): 451–59. http://dx.doi.org/10.1111/bdi.12413.
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Bühler, Joël, Ferdinand Keller, and Damian Läge. "Die Symptomstruktur des BDI-II: Kernsymptome und qualitative Facetten." Zeitschrift für Klinische Psychologie und Psychotherapie 41, no. 4 (October 2012): 231–42. http://dx.doi.org/10.1026/1616-3443/a000170.
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Theoretischer Hintergrund: Das BDI-II deckt mit 21 Depressionssymptomen die Breite der Depression ab und ist geeignet, die Symptomstruktur der Depression zu erforschen. Eine Vielzahl an faktorenanalytischen Studien erbrachte aber bislang keinen Konsens. Fragestellung: Nonmetrische Multidimensionale Skalierung (NMDS) soll daher die divergierenden Resultate einordnen und ein Modell der Symptomstruktur schaffen. Methode: Mittels NMDS wird die Symptomstruktur des BDI‐II (N = 266 Depressive) in einen 2‐dimensionalen Raum abgebildet. Ergebnisse: Die NMDS‐Lösung legt eine Facettenstruktur nahe, welche von den faktorenanalytischen Modellen bislang unzulänglich erfasst wird. Schlussfolgerungen: Neben einem generellen Kernsyndrom finden sich fünf spezifische Facetten (verminderte Aktivierung, psychovegetative Symptome, gesteigerte Aktivierung, Hoffnungslosigkeit und negative Einstellung zum Selbst), die die Heterogenität der Symptomatik innerhalb der Depression aufzeigen und damit die Existenz von Subtypen in der Depression nahelegen.
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Dai, Peipei, Jianping Xing, Yulong Ge, Xuhai Yang, Weijin Qin, Yanchen Dong, and Zhe Zhang. "The Effect of BDS-3 Time Group Delay and Differential Code Bias Corrections on Positioning." Applied Sciences 11, no. 1 (December 24, 2020): 104. http://dx.doi.org/10.3390/app11010104.
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The timing group delay parameter (TGD) or differential code bias parameter (DCB) is an important factor that affects the performance of GNSS basic services; therefore, TGD and DCB must be taken seriously. Moreover, the TGD parameter is modulated in the navigation message, taking into account the impact of TGD on the performance of the basic service. International GNSS Monitoring and Assessment System (iGMAS) provides the broadcast ephemeris with TGD parameter and the Chinese Academy of Science (CAS) provides DCB products. In this paper, the current available BDS-3 TGD and DCB parameters are firstly described in detail, and the relationship of TGD and DCB for BDS-3 is figured out. Then, correction models of BDS-3 TGD and DCB in standard point positioning (SPP) or precise point positioning (PPP) are given, which can be applied in various situations. For the effects of TGD and DCB in the SPP and PPP solution processes, all the signals from BDS-3 were researched, and the validity of TGD and DCB has been further verified. The experimental results show that the accuracy of B1I, B1C and B2a single-frequency SPP with TGD or DCB correction was improved by approximately 12–60%. TGD will not be considered for B3I single-frequency, because the broadcast satellite clock offset is based on the B3I as the reference signal. The positioning accuracy of B1I/B3I and B1C/B2a dual-frequency SPP showed that the improvement range for horizontal components is 60.2% to 74.4%, and the vertical components improved by about 50% after the modification of TGD and DCB. In addition, most of the uncorrected code biases are mostly absorbed into the receiver clock bias and other parameters for PPP, resulting in longer convergence time. The convergence time can be max increased by up to 50% when the DCB parameters are corrected. Consequently, the positioning accuracy can reach the centimeter level after convergence, but it is critical for PPP convergence time and receiver clock bias that the TGD and DCB correction be considered seriously.
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Wu, Peng, Si Shen, Daqing He, and Jia Tina Du. "A belief–desire–intention model for blog users’ negative emotional norm compliance." Electronic Library 35, no. 4 (August 7, 2017): 798–821. http://dx.doi.org/10.1108/el-09-2016-0187.
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Purpose The purpose of this paper is to understand blog users’ negative emotional norm compliance decision-making in crises (blog users’-NNDC). Design/methodology/approach A belief–desire–intention (BDI) model to evaluate the blog users’-NNDC (the BDI-NNDC model) was developed. This model was based on three social characteristics: self-interests, expectations and emotions. An experimental study was conducted to evaluate the efficiency of the BDI-NNDC model by using data retrieved from a popular Chinese social network called “Sina Weibo” about three major crises. Findings The BDI-NNDC model strongly predicted the Blog users’-NNDC. The predictions were as follows: a self-interested blog user posted content that was targeting his own interests; a blogger with high expectations wrote and commented emotionally negative blogs on the condition that the numbers of negative posts increased, while he ignored the norm when there was relatively less negative emotional news; and an emotional blog user obeyed the norm based on the emotional intentions of the blogosphere in most of the cases. Research limitations/implications The BDI-NNDC model can explain the diffusion of negative emotions by blog users during crises, and this paper shows a way to bridge the social norm modelling and the research of blog users’ activity and behaviour characteristics in the context of “real life” crises. However, the criterion for differentiating blog users according to social characteristics needs to be further revised, as the generalizability of the results is limited by the number of cases selected in this study. Practical implications The current method could be applied to predict emotional trends of blog users who have different social characteristics and it could support government agencies to build strategic responses to crises. Originality/value This paper supports the creation of normative models and engineering methods to predict blog users’-NNDC and mitigate their effect in real-world crises.
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Turner, Alyna, John Hambridge, Amanda Baker, Jenny Bowman, and Patrick McElduff. "Randomised controlled trial of group cognitive behaviour therapy versus brief intervention for depression in cardiac patients." Australian & New Zealand Journal of Psychiatry 47, no. 3 (September 26, 2012): 235–43. http://dx.doi.org/10.1177/0004867412460592.
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Objective: To determine whether a six-session group cognitive behaviour therapy (CBT) programme results in a greater reduction in depression symptoms than a brief intervention alone in cardiac patients with clinically significant symptoms of depression. Method: Fifty-seven community dwelling cardiac patients scoring >13 on the Beck Depression Inventory-II (BDI-II) received a single-session brief intervention. They were then block randomised to either six sessions of group CBT ( n = 25) or no further intervention (BI; n = 32). All were re-assessed at 2, 6 and 12 months. Differences between treatment groups in the primary (BDI-II) and secondary [rates of depression; anxiety symptoms, as measured by the Hospital Anxiety and Depression Scale-Anxiety (HADS-A)] outcomes were examined using generalised linear mixed models with a random intercept term for the individual. Results: Significant improvements were seen for the total group from baseline to 12 months on BDI-II and HADS-A scores. However, no differences were found between the CBT and BI conditions on change in BDI-II score, rates of major depressive episode or HADS-A score. Post hoc analysis on the total group found 12-month symptom non-remission was associated with higher baseline BDI-II score ( p = 0.03), more visits to health professionals 12 months prior to baseline ( p = 0.05) and a greater likelihood of either drinking alcohol over recommended levels or smoking at baseline ( p = 0.01). Conclusions: Group CBT of up to six sessions did not result in greater reductions in depression or anxiety symptoms compared with a single-session brief intervention. Further work should focus on the efficacy and role of brief interventions, and addressing smoking and alcohol misuse in cardiac patients with depression.
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Wan, W., and L. Jie. "BDA Models and Application for Recognizing the Headstreams of Mine Waterburst." Applied Mechanics and Materials 34-35 (October 2010): 1788–93. http://dx.doi.org/10.4028/www.scientific.net/amm.34-35.1788.
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BAYES discriminant analysis (BDA) method was used in the study of headstreams of prediction of minewater inrush and two BDA models for recognizing two-headstreams and multi-headstreams were constructed. Baesd on the principle of BDA theory and the classical headstream samples of different mines, the discriminant process and cross-validation method were introduced. 10 samples from a mine of HUA BEI Mine and 39 samples of JIAO ZUO Mine were used as data sources. Ca2+, Mg2+, Na+, K+, Cl-, HCO3-, SO42-, NO32-, F- and pH were selected as discriminant genes for two-headstreams BDA model and Na++K+, Ca2+, Mg2+, Cl-, SO42-, HCO3- were regarded as discriminant genes for multi-headstreams BDA model. Compared with the results of SQT method, ANN method and SVM method, the results show that the frame of BDA model was steady and high prediction accuracy can be obtained. BDA method and can be used in practical mine engineering.
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Tobias, Kristen G., Jonathan Lehrfeld, Barry Rosenfeld, Hayley Pessin, and William Breitbart. "Confirmatory factor analysis of the Beck Depression Inventory–II in patients with advanced cancer: A theory-driven approach." Palliative and Supportive Care 15, no. 6 (August 24, 2017): 704–9. http://dx.doi.org/10.1017/s1478951517000724.
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ABSTRACTObjective:The diagnosis and treatment of depression are complicated by the presence of a serious medical illness, such as cancer. The role of inflammation in the pathophysiology of depression remains unknown; however, the symptom cluster of sickness behavior is more clearly related to inflammation. Symptom clusters may provide the specificity needed to improve treatment outcomes. The purpose of this study is to use confirmatory factor analysis to examine the construct of sickness behavior in patients with advanced cancer using the Beck Depression Inventory–II (BDI–II).Method:Patients (N = 167) were recruited from chemotherapy clinics and the Department of Psychiatry at Memorial Sloan Kettering Cancer Center. Symptoms were a priori delineated using the factor labels sickness behavior and negative affectivity (two-factor model), and affective, cognitive, and sickness behavior (three-factor model). These data were also fit for a more traditional model using affective, cognitive, and somatic factors.Results:The mean total BDI–II score was 14.74 (SD = 8.52; range = 1–46). Fit statistics for all models were good, but the novel three-factor model with sickness behavior provided the best fit: χ2(186) = 273.624; p < 0.001; root-mean-square error of approximation = 0.053; comparative fit index = 0.949.Significance of results:Both the two- and three-factor models provide support for the unique construct of sickness behavior in patients with advanced cancer. High factor correlations with the BDI–II and other measures of distress were observed, which raises questions about theoretically distinct, but related, constructs.
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Campo-Arias, Adalberto, Yuly Suárez-Colorado, and Carmen Cecilia Caballero-Domínguez. "Factorial structure of the Beck Depression Inventory for depression in university students." Jornal Brasileiro de Psiquiatria 67, no. 3 (July 2018): 174–78. http://dx.doi.org/10.1590/0047-2085000000198.
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ABSTRACT Objective To explore the dimensionality of the Beck Depression Inventory (BDI) among Colombian college students. Methods A validation study was designed, involving the participation of a sample of 786 health science students (medicine, nursing, and psychology) aged between 18 and 27 (M=20.0, SD = 1.9). The participants completed the 21-item BDI. Internal consistency was calculated (Cronbach's alpha and McDonald's omega) and dimensionality was demonstrated using factorial confirmatory analysis (CFA). Results The Kaiser-Meyer-Olkin (KMO) measure of sampling adequacy was high (0.898) and the Bartlett's sphericity test gave excellent results (chi-square = 3,102.60; df = 210; p < 0.001). One-, two- and three-dimensional models were used. The unidimensional model performed best, representing 24.8% of the total variance, high internal consistency, a Cronbach's alpha of 0.83 and a McDonald's omega of 0.84. However, the CFA did not fit adequately (chi-square = 583.79; df = 189; p < 0.001, RMSEA = 0.052, CI 90% 0.047-0.056, CFI = 0.87, TLI = 0.85 and SMSR = 0.04). Conclusions The best factor solution for the BDI is given by the unidimensional model, which presents high internal consistency. However, its adjustment in the CFA is not acceptable.
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Koster, A., M. Schorlemmer, and J. Sabater-Mir. "Opening the black box of trust: reasoning about trust models in a BDI agent." Journal of Logic and Computation 23, no. 1 (March 16, 2012): 25–58. http://dx.doi.org/10.1093/logcom/exs003.
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Markt, Afra, Ursula M. H. Klumpers, Annemiek Dols, Stasja Draisma, Marco P. Boks, Annet Bergen, Roel A. Ophoff, Aartjan T. F. Beekman, and Ralph W. Kupka. "Exploring the clinical utility of two staging models for bipolar disorder." Bipolar Disorders 22, no. 1 (September 4, 2019): 38–45. http://dx.doi.org/10.1111/bdi.12825.
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