Severity of experimental escherichia-coli mastitis in ketonemic and nonketonemic dairy-cows.

The severity of experimental Escherichia coli mastitis in relation to in vitro chemotaxis of polymorphonuclear leukocytes was investigated in cows during negative energy balance. The negative energy balance was induced by feed restriction. Cows were classified into two groups, ketonemic and nonketonemic, based on the beta-hydroxybutyrate concentration in the peripheral blood at the moment of inoculation. Bacterial growth in the inoculated quarter was used as a parameter to indicate the severity of experimental mastitis. In the nonketonemic cows, experimental mastitis ranged from moderate to severe. Severity of experimental mastitis was negatively related to preinfection chemotactic response of polymorphonuclear leukocytes. In contrast, the course of experimental mastitis in the ketonemic group was relatively severe in all cows, regardless of preinfection chemotactic response

South African Stress and Health (SASH) study : 12-month and lifetime prevalence of common mental disorders

The original publication is available at http://www.samj.org.zaBackground. The South African Stress and Health (SASH) study is the first large-scale population-based study of common mental disorders in the country. This paper provides data on the 12-month and lifetime prevalence of these conditions. Methods. Data from a nationally representative sample of 4 351 adults were analysed. Mental disorders were assessed with the Composite International Diagnostic Interview (CIDI). An extensive survey questionnaire detailed contextual and socio-demographic factors, onset and course of mental disorders, and risk factors. Simple weighted cross-tabulation methods were used to estimate prevalence, and logistic regression analysis was used to study correlates of 12-month and lifetime prevalence. Results. The lifetime prevalence for any disorder was 30.3%, and the most prevalent 12-month and lifetime disorders were the anxiety disorders. The Western Cape had the highest 12-month and lifetime prevalence rates, and the lowest rates were in the Northern Cape. Conclusions. The SASH study shows relatively high 12-month and lifetime prevalence rates. These findings have significant implications for planning mental health services.Publishers' versio

Life stress and mental disorders in the South African stress and health study

Background. Although stressful life events (SLEs) are associated with psychopathology, the contribution from distal and proximal events and the specificity of their association with common mental disorders require further exploration. We examined the association of recent life events and past adversities to mood, anxiety, substance use and impulse control disorders in South Africa. Methods. Data were analysed from the South African Stress and Health study, a population-based study of mental disorders in a nationally representative sample of 4 351 adults. Psychiatric disorders were assessed with the Composite International Diagnostic Interview (CIDI). This included questions covering early and later SLEs (negative life events, relationship stress, partner violence, social strain and adverse events during childhood) and various sociodemographic variables. Logistic regression models were constructed for 3 957 respondents (2 371 female, 1 586 male) with no missing covariate data, to assess life stress and sociodemographic predictors of 12-month and lifetime disorder. Results. Recent negative life events and relationship problems were significant predictors of any 12-month disorder and any lifetime disorder. Physical partner violence predicted any lifetime disorder. There was evidence of specificity for the prediction of mood versus anxiety disorders, with childhood adversity specifically associated with mood disorders but not anxiety disorders. Single marital status was the strongest socio-demographic predictor of any 12-month and any lifetime disorder. Conclusions. Stressful life events, distal and proximal, contribute significantly and independently to the prediction of major psychiatric disorders among South Africans, underscoring the importance of screening adversities in adults with common mental disorders, and of providing appropriate adjunctive interventions

Life stress and mental disorders in the South African stress and health study

Background. Although stressful life events (SLEs) are associated with psychopathology, the contribution from distal and proximal events and the specificity of their association with common mental disorders require further exploration. We examined the association of recent life events and past adversities to mood, anxiety, substance use and impulse control disorders in South Africa. Methods. Data were analysed from the South African Stress and Health study, a population-based study of mental disorders in a nationally representative sample of 4 351 adults. Psychiatric disorders were assessed with the Composite International Diagnostic Interview (CIDI). This included questions covering early and later SLEs (negative life events, relationship stress, partner violence, social strain and adverse events during childhood) and various sociodemographic variables. Logistic regression models were constructed for 3 957 respondents (2 371 female, 1 586 male) with no missing covariate data, to assess life stress and sociodemographic predictors of 12-month and lifetime disorder. Results. Recent negative life events and relationship problems were significant predictors of any 12-month disorder and any lifetime disorder. Physical partner violence predicted any lifetime disorder. There was evidence of specificity for the prediction of mood versus anxiety disorders, with childhood adversity specifically associated with mood disorders but not anxiety disorders. Single marital status was the strongest socio-demographic predictor of any 12-month and any lifetime disorder. Conclusions. Stressful life events, distal and proximal, contribute significantly and independently to the prediction of major psychiatric disorders among South Africans, underscoring the importance of screening adversities in adults with common mental disorders, and of providing appropriate adjunctive interventions

The South African Stress and Health (SASH) study: 12-month and lifetime prevalence of common mental disorders

Background. The South African Stress and Health (SASH) study is the first large-scale population-based study of common mental disorders in the country. This paper provides data on the 12-month and lifetime prevalence of these conditions. Methods. Data from a nationally representative sample of 4 351 adults were analysed. Mental disorders were assessed with the Composite International Diagnostic Interview (CIDI). An extensive survey questionnaire detailed contextual and socio-demographic factors, onset and course of mental disorders, and risk factors. Simple weighted cross-tabulation methods were used to estimate prevalence, and logistic regression analysis was used to study correlates of 12-month and lifetime prevalence. Results. The lifetime prevalence for any disorder was 30.3%, and the most prevalent 12-month and lifetime disorders were the anxiety disorders. The Western Cape had the highest 12-month and lifetime prevalence rates, and the lowest rates were in the Northern Cape. Conclusions. The SASH study shows relatively high 12-month and lifetime prevalence rates. These findings have significant implications for planning mental health services

Ageing enhances cellular immunity to myeloperoxidase and experimental anti-myeloperoxidase glomerulonephritis

OBJECTIVES: Anti-neutrophil cytoplasmic antibody (ANCA)-associated vasculitis is an autoimmune disease characterised by small blood vessel inflammation, commonly affecting the kidneys and respiratory tract. It is unclear why the incidence of this condition increases with age. Previous studies in a passive antibody transfer system in aged mice have implicated innate effectors. To test the hypothesis that autoimmunity to myeloperoxidase, an autoantigen responsible for ANCA-associated vasculitis, increases with age, anti-myeloperoxidase autoimmunity was studied in murine models of active autoimmunity and disease induced by cellular immunity. METHODS: Young (8 weeks) and aged (either 15 or 22 month) mice were immunised with whole proteins or peptides from ovalbumin, as a model foreign antigen, or myeloperoxidase protein or peptides. Mice were subjected to a model of active anti-myeloperoxidase glomerulonephritis. Cellular and humoral immune responses and tissue inflammation were assessed. RESULTS: While cellular immunity to ovalbumin was diminished in aged mice, cellular autoimmunity to myeloperoxidase and its immunodominant CD4+ and CD8+ T cell epitopes was increased after immunization with either MPO peptides or whole MPO protein, assessed by peptide and antigen specific production of the pro-inflammatory cytokines interferon-γ and interleukin-17A. MPO-ANCA titres were not increased in aged mice compared with young mice. In experimental anti-MPO glomerulonephritis, cell mediated injury was increased, likely due to CD4+ and CD8+ T cells, innate immunity and the increased vulnerability of aged kidneys. CONCLUSION: Heightened cellular immunity to MPO develops with ageing in mice and may contribute to the increased incidence and severity of ANCA-associated vasculitis in older people

Attention Deficit Hyperactivity Disorder and Risk of Posttraumatic Stress and Related Disorders: A Prospective Longitudinal Evaluation in U.S. Army Soldiers

Crossâ sectional associations between attention deficit hyperactivity disorder (ADHD) and posttraumatic stress disorder (PTSD) have been observed, but longitudinal studies assessing this association are lacking. This prospective study evaluated the association between predeployment ADHD and postdeployment PTSD among U.S. Army soldiers. Soldiers who deployed to Afghanistan were surveyed before deployment (T0) and approximately 1 month (T1), 3 months (T2), and 9 months (T3) after their return. Logistic regression was performed to estimate the association between predeployment ADHD and postdeployment (T2 or T3) PTSD among 4,612 soldiers with data at all waves and no record of stimulant medication treatment during the study. To evaluate specificity of the ADHDâ PTSD association, we examined associations among predeployment ADHD, postdeployment major depressive episode (MDE), generalized anxiety disorder (GAD), and suicidal ideation. Weighted prevalence of ADHD predeployment was 6.1% (SE = 0.4%). Adjusting for other risk factors, predeployment ADHD was associated with risk of postdeployment PTSD, adjusted odds ratio (AOR) = 2.13, 95% CI [1.51, 3.00], p < .001, including incidence among soldiers with no predeployment history of PTSD, AOR = 2.50, 95% CI [1.69, 3.69], p < .001. ADHD was associated with postdeployment MDE, AOR = 2.80, 95% CI [2.01, 3.91], p < .001, and GAD, AOR = 3.04, 95% CI [2.10, 4.42], p < .001, but not suicidal ideation. Recognition of associations between predeployment ADHD and postdeployment PTSD, MDE, and GAD may inform targeted prevention efforts. Future research should examine whether treatment of ADHD is protective against PTSD and related disorders in traumaâ exposed individuals.ResumenSpanish Abstracts by Asociación Chilena de Estrés Traumático (ACET)El trastorno de déficit atencional con hiperactividad y el riesgo del trastorno de estrés postraumático y trastornos relacionados: Una evaluación longitudinal prospectiva en soldados del ejército estadounidenseTDAH Y RIESGO DE TEPT EN SOLDADOS DEL EJà RCITO DE EE.UU.Se han observado asociaciones transversales entre el trastorno por déficit de atención con hiperactividad (TDAH) y el trastorno por estrés postraumático (TEPT), pero faltan estudios longitudinales que evalúen esta asociación. Este estudio prospectivo evaluó la asociación entre el TDAH previo al despliegue y el TEPT posterior al despliegue entre los soldados del Ejército de Estados Unidos. Los soldados desplegados en Afganistán fueron encuestados antes del despliegue (T0) y aproximadamente 1 mes (T1), 3 meses (T2), y 9 meses (T3) después de su regreso del despliegue. Se realizó una regresión logística para estimar la asociación entre el TDAH previo al despliegue y el TEPT posterior al despliegue (T2 o T3) en 4.612 soldados con datos en todas las etapas y sin registro de tratamiento con medicamentos estimulantes durante el estudio. Para evaluar la especificidad de la asociación TDAHâ TEPT, examinamos las asociaciones entre el TDAH previo al despliegue, el episodio depresivo mayor posterior al despliegue (EDM), el trastorno de ansiedad generalizada (TAG), y la ideación suicida. La prevalencia ponderada del TDAH previo al despliegue fue de 6.1% (SE = 0.4%). Al controlar los otros factores de riesgo, el TDAH previo al despliegue se asoció con el riesgo de TEPT posterior al despliegue, odds ratio ajustado (AOR en su sigla en inglés) = 2.13, IC del 95% [1.51, 3.00], p <.001, incluida la incidencia entre soldados sin historial previo al despliegue de TEPT, AOR = 2.50, IC del 95% [1.69, 3.69], p <.001. El TDAH se asoció con el EDM posterior al despliegue, AOR = 2.80, IC del 95% [2.01, 3.91], p <.001, y TAG, AOR = 3.04, IC del 95% [2.10, 4.42], p <.001, pero no con ideación suicida. El reconocimiento de las asociaciones entre el TDAH previo al despliegue y el TEPT, el EDM, y el TAG posterior al despliegue puede informar los esfuerzos de prevención específicos. Las investigaciones futuras deberían examinar si el tratamiento del TDAH protege contra el TEPT y los trastornos relacionados en personas expuestas a trauma.æ ½è±¡Traditional and Simplified Chinese Abstracts by the Asian Society for Traumatic Stress Studies (AsianSTSS)ç°¡é« å ç¹ é« ä¸­æ æ ®è¦ ç ±äº æ´²å µå ·å¿ ç ç  ç©¶å­¸æ 翻譯Attention Deficit Hyperactivity Disorder and Risk of Posttraumatic Stress and Related Disorders: A Prospective Longitudinal Evaluation in US Army SoldiersTraditional Chineseæ¨ é¡ : å° æ³¨å ä¸ è¶³æ é åº¦æ´»èº ç è æ £å µå ·å¾ å£ å ç å ç ¸é ç ¾ç ç é¢¨é ª:å° ç¾ å è» äººé ²è¡ ç å ç »ç¸±è²«ç  ç©¶æ ®è¦ : é å¾ ä¸ ç ´æ ç  ç©¶æª¢è¦ å° æ³¨å ä¸ è¶³æ é åº¦æ´»èº ç (ADHD)è å µå ·å¾ å£ å ç (PTSD)ä¹ é ç æ©«æ ·æ §é é £, å ¯æ ¯, æ å ä» æ¬ ç¼ºæª¢è¦ å ©è é é £ç ç¸±è²«ç  ç©¶ã æ ¬å ç »ç  ç©¶æ ¨å ¨é é ç¾ è» æ¨£æ ¬, è© ä¼°æ å½¹å ADHDè· æ å½¹å¾ PTSDç é é £ã æ¨£æ ¬ç ºå å¾ é ¿å¯ æ± æ å½¹ç è» äºº, å ¨æ å½¹å (T0)å å® æ æ å½¹å¾ ç´ 1å æ (T1)ã 3å æ (T2)å 9å æ (T3)æ ¥å èª¿æ ¥ã æ å 以é 輯迴歸å æ å æ æ 波段ç æ ¸æ , ä¼°è¨ 4,612å è» äººæ å½¹å ADHDè· æ å½¹å¾ (T2 æ T3)PTSDç é é £ã ç  ç©¶ä¸­, æ¨£æ ¬ä¸¦ç ¡æ ç ¨è å¥®è ¥ç ©ã ç ºäº è§£ADHDâ PTSDç ç ¹æ® é é £, æ å æª¢è¦ ä»¥ä¸ é  ç ®ä¹ é ç é é £:æ å½¹å ADHDã å® æ æ å½¹å¾ ç å ´é æ é¬±ç¯ æ®µ(MDE)ã å»£æ³ æ §ç ¦æ ®ç (GAD)ã è ªæ®ºæ 念ã æ å½¹å ADHDæ ®é åº¦ç º6.1% (SE = 0.4%)ã å° å ¶ä» é¢¨é ªå  ç´ ä½ èª¿ç¯ å¾ , æ å½¹å ADHDè· æ å½¹å¾ æ £PTSDç é¢¨é ªæ æ é é £(å·²èª¿ç¯ å ç® æ¯ (AOR) = 2.13, 95% CI [1.51, 3.00], p < .001), ç ¶ä¸­å æ ¬æ å½¹å ä¸¦ç ¡PTSDç è» äºº(AOR = 2.50, 95% CI [1.69, 3.69], p < .001)ã ADHDè· å® æ æ å½¹å¾ æ £MDEç (AOR = 2.80, 95% CI [2.01, 3.91], p < .001)å GAD(AOR = 3.04, 95% CI [2.10, 4.42] p < .001)é ½æ é , ä½ è· è ªæ®ºæ å¿µç ¡é ã äº è§£æ å½¹å ADHDè· æ å½¹å¾ PTSDã MDEå GADç é é £, å ¯è ½æ å ©ç ¼å± é å° æ §ç é  é ²å·¥ä½ ã æ ªä¾ ç  ç©¶æ æª¢è¦ å° å å µäººå£«æ ä¾ ADHDæ²»ç , æ ¯å ¦å° å ¶PTSDå ç ¸é ç ¾ç æ ä¿ è­·æ æ ã Simplified Chineseæ  é¢ : ä¸ æ³¨å ä¸ è¶³æ è¿ åº¦æ´»è· ç ä¸ æ £å 伤å å å ç å ç ¸å ³ç ¾ç ç é£ é ©:å¯¹ç¾ å ½å äººè¿ è¡ ç å ç »çºµè´¯ç  ç©¶æ ®è¦ : è¿ å¾ ä¸ ç ´æ ç  ç©¶æ£ è§ ä¸ æ³¨å ä¸ è¶³æ è¿ åº¦æ´»è· ç (ADHD)ä¸ å 伤å å å ç (PTSD)ä¹ é ´ç æ¨ªæ ­æ §å ³è¿ , å ¯æ ¯, æ ä»¬ä» æ¬ ç¼ºæ£ è§ ä¸¤è å ³è¿ ç çºµè´¯ç  ç©¶ã æ ¬å ç »ç  ç©¶æ ¨å ¨é è¿ ç¾ å æ ·æ ¬, è¯ ä¼°æ å½¹å ADHDè· æ å½¹å PTSDç å ³è¿ ã æ ·æ ¬ä¸ºå å¾ é ¿å¯ æ± æ å½¹ç å 人, å ¨æ å½¹å (T0)å å® æ æ å½¹å 约1个æ (T1)ã 3个æ (T2)å 9个æ (T3)æ ¥å è° æ ¥ã æ ä»¬ä»¥é »è¾ å å½ å æ å æ æ 波段ç æ °æ ®, 估计4,612å å 人æ å½¹å ADHDè· æ å½¹å (T2 æ T3)PTSDç å ³è¿ ã ç  ç©¶ä¸­, æ ·æ ¬å¹¶æ  æ ç ¨å ´å¥ è ¯ç ©ã ä¸ºäº è§£ADHDâ PTSDç ç ¹æ® å ³è¿ , æ ä»¬æ£ è§ ä»¥ä¸ é¡¹ç ®ä¹ é ´ç å ³è¿ :æ å½¹å ADHDã å® æ æ å½¹å ç 严é æ é è 段(MDE)ã å¹¿æ³ æ §ç ¦è ç (GAD)ã è ªæ æ 念ã æ å½¹å ADHDæ ®é 度为6.1% (SE = 0.4%)ã å¯¹å ¶ä» é£ é ©å  ç´ ä½ è° è å , æ å½¹å ADHDè· æ å½¹å æ £PTSDç é£ é ©æ æ å ³è¿ (å·²è° è è ç® æ¯ (AOR) = 2.13, 95% CI [1.51, 3.00], p < .001), å½ ä¸­å æ ¬æ å½¹å å¹¶æ  PTSDç å 人(AOR = 2.50, 95% CI [1.69, 3.69], p < .001)ã ADHDè· å® æ æ å½¹å æ £MDEç (AOR = 2.80, 95% CI [2.01, 3.91], p < .001)å GAD(AOR = 3.04, 95% CI [2.10, 4.42] p < .001)é ½æ å ³, ä½ è· è ªæ æ å¿µæ  å ³ã äº è§£æ å½¹å ADHDè· æ å½¹å PTSDã MDEå GADç å ³è¿ , å ¯è ½æ å ©å å± é å¯¹æ §ç é¢ é ²å·¥ä½ ã æ ªæ ¥ç  ç©¶åº æ£ è§ å¯¹å å 人士æ ä¾ ADHDæ²»ç , æ ¯å ¦å¯¹å ¶PTSDå ç ¸å ³ç ¾ç æ ä¿ æ ¤æ åº ãPeer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/146971/1/jts22347_am.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/146971/2/jts22347.pd

Holistic corpus-based dialectology

This paper is concerned with sketching future directions for corpus-based dialectology. We advocate a holistic approach to the study of geographically conditioned linguistic variability, and we present a suitable methodology, 'corpusbased dialectometry', in exactly this spirit. Specifically, we argue that in order to live up to the potential of the corpus-based method, practitioners need to (i) abandon their exclusive focus on individual linguistic features in favor of the study of feature aggregates, (ii) draw on computationally advanced multivariate analysis techniques (such as multidimensional scaling, cluster analysis, and principal component analysis), and (iii) aid interpretation of empirical results by marshalling state-of-the-art data visualization techniques. To exemplify this line of analysis, we present a case study which explores joint frequency variability of 57 morphosyntax features in 34 dialects all over Great Britain

A cognitively grounded measure of pronunciation distance

In this study we develop pronunciation distances based on naive discriminative learning (NDL). Measures of pronunciation distance are used in several subfields of linguistics, including psycholinguistics, dialectology and typology. In contrast to the commonly used Levenshtein algorithm, NDL is grounded in cognitive theory of competitive reinforcement learning and is able to generate asymmetrical pronunciation distances. In a first study, we validated the NDL-based pronunciation distances by comparing them to a large set of native-likeness ratings given by native American English speakers when presented with accented English speech. In a second study, the NDL-based pronunciation distances were validated on the basis of perceptual dialect distances of Norwegian speakers. Results indicated that the NDL-based pronunciation distances matched perceptual distances reasonably well with correlations ranging between 0.7 and 0.8. While the correlations were comparable to those obtained using the Levenshtein distance, the NDL-based approach is more flexible as it is also able to incorporate acoustic information other than sound segments