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Averaging theory for heat transfer in circular hydraulic jumps with a separation bubble
- R. Solana Gómez, T. Bohr, S. Nielsen, W. Rohlfs, R. Kneer, H. Askarizadeh
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- Journal of Fluid Mechanics / Volume 979 / 25 January 2024
- Published online by Cambridge University Press:
- 18 January 2024, A41
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Analytical investigations of heat transfer during the vertical impingement of an unsubmerged axisymmetric liquid jet on a horizontal plate have been limited to the regions ahead of the jump. This limitation is due to the complex flow physics in the jump region arising from sudden changes in the flow field. This is addressed in here by extending the averaging theory (AT) introduced by Bohr et al. (Phys. Rev. Lett., vol. 79, issue 6, 1997, pp. 1038–1041) which was further developed by Watanabe et al. (J. Fluid Mech., vol. 480, 2003, pp. 233–265), to describe the heat transfer problem in circular hydraulic jumps including separation. The applicability of the resulting theory to determine the temperature field in the jump region is evaluated using the data available in the literature and also by means of fully resolved numerical solutions. Good agreement is observed for moderate Prandtl numbers. However, for sufficiently high Prandtl numbers, deviations become notable. The reasons for the deviations according to their relevance are (i) monotonically decreasing temperature profile inherent to the AT, whereas the fully resolved numerical solutions exhibit a local maximum in the temperature profile away from the plate; and (ii) inapplicability of the concept of dividing the flow field into a region affected and a region unaffected by heat transfer according to the thermal boundary layer thickness. This concept leads to the overestimation of the temperature close to the wall and to the existence of a threshold Prandtl number, for which the thermal boundary layer thickness does not meet the free surface anymore. Around this threshold Prandtl number, the temperature field shows a discontinuous behaviour.
Expectations and perspectives of cognitive behavioural therapy for childhood anxiety and related disorders
- Rebecca R. Henderson, Alyssa M. Nielsen, Aqueena M. P. Fernandez, Seth T. Downing, Ryan J. McCarty, Yulia A. Strekalova, Journa Cobite-Njoh, Tannaz Mirhosseini, Andrew G. Guzick, Joseph P. H. McNamara, Carol A. Mathews
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- Journal:
- Behavioural and Cognitive Psychotherapy / Volume 52 / Issue 1 / January 2024
- Published online by Cambridge University Press:
- 13 September 2023, pp. 65-77
- Print publication:
- January 2024
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Background:
Anxiety disorders are the most frequently diagnosed psychiatric conditions in children and adolescents. Cognitive behavioural therapy (CBT) is a well-established and effective treatment for anxiety and related disorders across the lifespan. Expectations of psychotherapy have been demonstrated to affect outcomes, yet there is sparse existing literature on adolescent patient and parent perspectives of CBT prior to engagement with treatment.
Aims:This study aimed to qualitatively explore the expectations and perceptions of CBT for anxiety and related disorders among adolescent patients and parents.
Method:Fourteen adolescent patients and 16 parents participated in semi-structured individual interviews or focus groups consisting of 2–3 participants. Interview transcripts were analysed using inductive analysis.
Results:Three themes were identified: worries about CBT, expectations and knowledge of the CBT process, and the role of parents and families. Overall, we found that adolescents and parents had generally positive views of CBT. The outset of CBT saw adolescents and parents express concern about stigma as well as the ambiguity of CBT. Parents continued to express a lack of understanding of what CBT entailed during their child’s treatment course.
Conclusion:These results suggest that both adolescents and parents would benefit from early discussion and reinforcement of expectations for CBT treatment. Further research efforts are warranted and should be directed towards determining appropriate expectations for parental involvement in a child’s CBT course and effective communication of treatment expectations to both adolescents and parents.
Esketamine nasal spray shows higher remission and response rates over 32 weeks of treatment compared with quetiapine extended-release in patients with treatment resistant depression: Results from ESCAPE-TRD, a randomised, phase IIIb clinical trial
- A. Reif, A. E. Anıl Yağcıoğlu, A. Luts, T. Messer, R. Nielsen, J. Buyze, T. Ito, Y. Kambarov, S. Mulhern Haughey, B. Rive, I. Usankova, C. von Holt, Y. Godinov
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- Journal:
- European Psychiatry / Volume 66 / Issue S1 / March 2023
- Published online by Cambridge University Press:
- 19 July 2023, pp. S90-S91
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Introduction
Treatment resistant depression (TRD) is estimated to affect 10–30% of patients with major depressive disorder (Al‑Harbi et al. Patient Prefer Adherence 2012; 6 369–88). Esketamine nasal spray (NS), in combination with a selective serotonin reuptake inhibitor (SSRI) or serotonin norepinephrine reuptake inhibitor (SNRI), increases remission and response rates in patients with TRD compared with placebo plus SSRI/SNRI (Popova et al. Am J Psychiatry 2019; 176 428–38). ESCAPE-TRD (NCT04338321) is the first randomised clinical trial to compare esketamine NS to quetiapine extended-release (XR), an antipsychotic augmentation therapy for patients with TRD.
ObjectivesTo explore the efficacy and safety of esketamine NS compared with quetiapine XR in TRD over 32 weeks (wks).
MethodsIn the ESCAPE-TRD phase IIIb open-label, rater-blinded trial, patients were randomised 1:1 to esketamine NS (56/84 mg; twice per wk, weekly or every 2 wks) or quetiapine XR (150–300 mg daily) both in combination with an ongoing SSRI/SNRI. Remission (Montgomery-Åsberg Depression Rating Scale [MADRS] total score of ≤10) and response (≥50% improvement in MADRS total score from baseline or MADRS≤10) rates were analysed over time using last observation carried forward. MADRS change from baseline was analysed using Mixed Models for Repeated Measures (MMRM). The most common adverse events (AEs) leading to discontinuation are reported for patients who received ≥1 dose of study medication.
ResultsAt baseline, 336 patients were randomised to esketamine NS and 340 to quetiapine XR. A significantly higher percentage of patients in the esketamine NS group achieved remission (at each visit from Wk6 [p=0.008] onward) and response (at each visit from Day 15 [p<0.001] onward) versus patients treated with quetiapine XR. Esketamine NS significantly improved MADRS score compared to quetiapine XR at each visit from Day 8 onwards, with an average difference over time in the least squares means total MADRS score change from baseline of -2.4 (Figure). The most common AEs leading to treatment discontinuation for esketamine NS were dizziness (n=2, 0.6%), dissociation (n=2, 0.6%) and vomiting (n=2, 0.6%), and for quetiapine XR were sedation (n=7, 2.1%), weight increased (n=6, 1.8%) and somnolence (n=5, 1.5%).
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ConclusionsEsketamine NS increased the percentage of patients achieving response and remission and improved MADRS total score over time compared with quetiapine XR. Rates of discontinuation arising from the most common AEs were generally lower with esketamine NS than quetiapine XR.
AcknowledgementsWe thank participating patients and all who assisted with the study. This study was funded by Janssen; medical writing support was provided by Carolyn Walsh, PhD, Costello Medical, UK.
Disclosure of InterestA. Reif Grant / Research support from: Medice, Consultant of: National Care Guidelines (NVL, S3) on major depression, bipolar disorder, ADHD and suicidal behaviour (aided in developing guidelines); board member of DGBS, DGPPN, ECNP and German Depression Foundation, Speakers bureau of: (and participated in advisory boards over the last 3 years) for Cyclerion, Janssen, Medice, SAGE/Biogen and Shire/Takeda; received speaker’s honoraria from Das Fortbildungskolleg; , A. E. Anıl Yağcıoğlu Grant / Research support from: Participated as an investigator for Janssen, Speakers bureau of: (and participated in advisory boards over the last 3 years) for Janssen and Abdi İbrahim Otsuka, A. Luts Speakers bureau of: (or participated in advisory boards for or participated as an investigator) for Janssen-Cilag, Asarina Pharma, Bristol Meyer Squibb, Dr August Wolff GmbH & Co, Eli Lilly, Lundbeck, Pfizer, Allergan, Sunovion and Regeneron., T. Messer Consultant of: National Care Guidelines (NVL, S3) on major depression (aided in developing guidelines), Speakers bureau of: (and participated in advisory boards) for Janssen-Cilag and Otsuka/Lundbeck, R. Nielsen Consultant of: Board member of DSAL and IGSLi, Speakers bureau of: (or participated in advisory boards, received research funds or participated as investigator over the last 3 years) for Boehringer Ingelheim, Compass Pharmaceuticals, Janssen-Cilag, Lundbeck, Otsuka, Sage and Teva Pharmaceuticals, J. Buyze Employee of: Janssen, T. Ito Employee of: Janssen, Y. Kambarov Employee of: Janssen, S. Mulhern Haughey Employee of: Janssen, B. Rive Employee of: Janssen, I. Usankova Employee of: Janssen, C. von Holt Employee of: Janssen, Y. Godinov Employee of: Janssen
Firn cold content evolution at nine sites on the Greenland ice sheet between 1998 and 2017
- B. Vandecrux, R. S. Fausto, D. van As, W. Colgan, P. L. Langen, K. Haubner, T. Ingeman-Nielsen, A. Heilig, C. M. Stevens, M. MacFerrin, M. Niwano, K. Steffen, J.E. Box
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- Journal:
- Journal of Glaciology / Volume 66 / Issue 258 / August 2020
- Published online by Cambridge University Press:
- 29 April 2020, pp. 591-602
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Current sea-level rise partly stems from increased surface melting and meltwater runoff from the Greenland ice sheet. Multi-year snow, also known as firn, covers about 80% of the ice sheet and retains part of the surface meltwater. Since the firn cold content integrates its physical and thermal characteristics, it is a valuable tool for determining the meltwater-retention potential of firn. We use gap-filled climatological data from nine automatic weather stations in the ice-sheet accumulation area to drive a surface-energy-budget and firn model, validated against firn density and temperature observations, over the 1998–2017 period. Our results show a stable top 20 m firn cold content (CC20) at most sites. Only at the lower-elevation Dye-2 site did CC20 decrease, by 24% in 2012, before recovering to its original value by 2017. Heat conduction towards the surface is the main process feeding CC20 at all nine sites, while CC20 reduction occurs through low-cold-content fresh-snow addition at the surface during snowfall and latent-heat release when meltwater refreezes. Our simulations suggest that firn densification, while reducing pore space for meltwater retention, increases the firn cold content, enhances near-surface meltwater refreezing and potentially sets favourable conditions for ice-slab formation.
QTc Interval in individuals with schizophrenia receiving antipsychotic as monotherapy or polypharmacy
- A. Elliott, M. Højlund, T.J. Mørk, T. Christensen, R. Jeppesen, N.J. Madsen, A.G. Viuff, P. Hjorth, J.C. Nielsen, P. Munk-Jørgensen
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- European Psychiatry / Volume 41 / Issue S1 / April 2017
- Published online by Cambridge University Press:
- 23 March 2020, pp. S194-S195
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Introduction
Antipsychotics are associated with the polymorphic ventricular tachycardia, Torsade's de pointes, which in worst case can lead to sudden cardiac death. The QTc interval is used as a clinical proxy for Torsade's de pointes. QTc interval is prolonged by monotherapy with antipsychotic, but it is unknown if the QTc interval is prolonged further with antipsychotic polypharmacy.
ObjectivesTo investigate the associations between QTc interval and antipsychotic mono- and polypharmaceutical treatment, respectively, in schizophrenic patients.
AimsTo learn more about the impact of antipsychotics on the QTc interval.
MethodsAn observational cohort study of unselected patients with schizophrenia visiting outpatient facilities in the Region of Central Jutland, Denmark. Patients were enrolled from January 2013 through March 2015 with follow-up until June 2015. Data was collected from clinical interviews and clinical case records.
ResultsECGs were available in 58 patients receiving antipsychotic treatment. We observed no difference in average QTc interval for the whole sample of patients receiving monotherapy or polypharmacy (P = 0.29). However, women presented longer QTc-interval on polypharmacy than on monotherapy (P = 0.01).
ConclusionWe recommend an increased focus on monitoring the QTc interval in woman with schizophrenia receiving antipsychotics as polypharmacy.
Disclosure of interestThe authors have not supplied their declaration of competing interest.
Cross-cultural dementia screening using the Rowland Universal Dementia Assessment Scale: a systematic review and meta-analysis
- T. R. Nielsen, Kasper Jørgensen
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- Journal:
- International Psychogeriatrics / Volume 32 / Issue 9 / September 2020
- Published online by Cambridge University Press:
- 09 March 2020, pp. 1031-1044
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Objectives:
To quantitatively synthesize data on the accuracy of the Rowland Universal Dementia Assessment Scale (RUDAS) in different sociocultural settings and compare its performance to other brief screening instruments for the detection of dementia.
Design:Systematic review and meta-analysis. Literature searches were performed in PubMed, EMBASE, and CINAHL from January 1, 2004 until September 1, 2019.
Setting:Community, outpatient clinic, and hospital settings in high-, and low- and middle-income countries.
Participants:Twenty-six studies reporting diagnostic accuracy of the RUDAS were included with almost 4000 participants, including approximately 1700 patients with dementia.
Measurements:Procedures for translation and cultural adaption of the RUDAS, and influence of demographic variables on diagnostic accuracy, were compared across studies. Bivariate random-effects models were used to pool sensitivity and specificity results, and diagnostic odds-ratios and the area under the hierarchical summary receiver operator characteristic curve were used to present the overall performance.
Results:The pooled sensitivity and specificity for the detection of dementia were .82 (95% CI, .78–.86) and .83 (95% CI, .78–.87), respectively, with an area under the curve of .89. Subgroup analyses revealed that the RUDAS had comparable diagnostic performances across high-, and low- and middle-income settings (z = .63, P = .53) and in samples with a lower and higher proportion of participants with no formal education (z = −.15, P = .88). In 11 studies making direct comparison, the diagnostic performance of the RUDAS was comparable to that of the Mini-Mental State Examination (z = −.82, P = .41), with areas under the curve of .88 and .84, respectively.
Conclusions:The RUDAS has good diagnostic performance for detecting dementia in different sociocultural settings. Compared to other brief screening instruments, advantages of the RUDAS include its limited bias in people with limited or no formal education and a minimal need for cultural or language adaptation.
The CODATwins Project: The Current Status and Recent Findings of COllaborative Project of Development of Anthropometrical Measures in Twins
- K. Silventoinen, A. Jelenkovic, Y. Yokoyama, R. Sund, M. Sugawara, M. Tanaka, S. Matsumoto, L. H. Bogl, D. L. Freitas, J. A. Maia, J. v. B. Hjelmborg, S. Aaltonen, M. Piirtola, A. Latvala, L. Calais-Ferreira, V. C. Oliveira, P. H. Ferreira, F. Ji, F. Ning, Z. Pang, J. R. Ordoñana, J. F. Sánchez-Romera, L. Colodro-Conde, S. A. Burt, K. L. Klump, N. G. Martin, S. E. Medland, G. W. Montgomery, C. Kandler, T. A. McAdams, T. C. Eley, A. M. Gregory, K. J. Saudino, L. Dubois, M. Boivin, M. Brendgen, G. Dionne, F. Vitaro, A. D. Tarnoki, D. L. Tarnoki, C. M. A. Haworth, R. Plomin, S. Y. Öncel, F. Aliev, E. Medda, L. Nisticò, V. Toccaceli, J. M. Craig, R. Saffery, S. H. Siribaddana, M. Hotopf, A. Sumathipala, F. Rijsdijk, H.-U. Jeong, T. Spector, M. Mangino, G. Lachance, M. Gatz, D. A. Butler, W. Gao, C. Yu, L. Li, G. Bayasgalan, D. Narandalai, K. P. Harden, E. M. Tucker-Drob, K. Christensen, A. Skytthe, K. O. Kyvik, C. A. Derom, R. F. Vlietinck, R. J. F. Loos, W. Cozen, A. E. Hwang, T. M. Mack, M. He, X. Ding, J. L. Silberg, H. H. Maes, T. L. Cutler, J. L. Hopper, P. K. E. Magnusson, N. L. Pedersen, A. K. Dahl Aslan, L. A. Baker, C. Tuvblad, M. Bjerregaard-Andersen, H. Beck-Nielsen, M. Sodemann, V. Ullemar, C. Almqvist, Q. Tan, D. Zhang, G. E. Swan, R. Krasnow, K. L. Jang, A. Knafo-Noam, D. Mankuta, L. Abramson, P. Lichtenstein, R. F. Krueger, M. McGue, S. Pahlen, P. Tynelius, F. Rasmussen, G. E. Duncan, D. Buchwald, R. P. Corley, B. M. Huibregtse, T. L. Nelson, K. E. Whitfield, C. E. Franz, W. S. Kremen, M. J. Lyons, S. Ooki, I. Brandt, T. S. Nilsen, J. R. Harris, J. Sung, H. A. Park, J. Lee, S. J. Lee, G. Willemsen, M. Bartels, C. E. M. van Beijsterveldt, C. H. Llewellyn, A. Fisher, E. Rebato, A. Busjahn, R. Tomizawa, F. Inui, M. Watanabe, C. Honda, N. Sakai, Y.-M. Hur, T. I. A. Sørensen, D. I. Boomsma, J. Kaprio
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- Twin Research and Human Genetics / Volume 22 / Issue 6 / December 2019
- Published online by Cambridge University Press:
- 31 July 2019, pp. 800-808
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The COllaborative project of Development of Anthropometrical measures in Twins (CODATwins) project is a large international collaborative effort to analyze individual-level phenotype data from twins in multiple cohorts from different environments. The main objective is to study factors that modify genetic and environmental variation of height, body mass index (BMI, kg/m2) and size at birth, and additionally to address other research questions such as long-term consequences of birth size. The project started in 2013 and is open to all twin projects in the world having height and weight measures on twins with information on zygosity. Thus far, 54 twin projects from 24 countries have provided individual-level data. The CODATwins database includes 489,981 twin individuals (228,635 complete twin pairs). Since many twin cohorts have collected longitudinal data, there is a total of 1,049,785 height and weight observations. For many cohorts, we also have information on birth weight and length, own smoking behavior and own or parental education. We found that the heritability estimates of height and BMI systematically changed from infancy to old age. Remarkably, only minor differences in the heritability estimates were found across cultural–geographic regions, measurement time and birth cohort for height and BMI. In addition to genetic epidemiological studies, we looked at associations of height and BMI with education, birth weight and smoking status. Within-family analyses examined differences within same-sex and opposite-sex dizygotic twins in birth size and later development. The CODATwins project demonstrates the feasibility and value of international collaboration to address gene-by-exposure interactions that require large sample sizes and address the effects of different exposures across time, geographical regions and socioeconomic status.
High prevalence of prediabetes and metabolic abnormalities in overweight or obese schizophrenia patients treated with clozapine or olanzapine
- Julie R. Larsen, Camilla K. Svensson, Louise Vedtofte, Mathilde Lund Jakobsen, Hans Søe Jespersen, Michelle I. Jakobsen, Kamuran Koyuncu, Ole Schjerning, Jimmi Nielsen, Claus T. Ekstrøm, Jens J. Holst, Christoph U. Correll, Tina Vilsbøll, Anders Fink-Jensen
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- CNS Spectrums / Volume 24 / Issue 4 / August 2019
- Published online by Cambridge University Press:
- 31 December 2018, pp. 441-452
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Objective
To assess the prevalence of prediabetes and metabolic abnormalities among overweight or obese clozapine- or olanzapine-treated schizophrenia patients, and to identify characteristics of the schizophrenia group with prediabetes.
MethodsA cross-sectional study assessing the presence of prediabetes and metabolic abnormalities in schizophrenia clozapine- or olanzapine-treated patients with a body mass index (BMI) ≥27 kg/m2. Procedures were part of the screening process for a randomized, placebo-controlled trial evaluating liraglutide vs placebo for improving glucose tolerance. For comparison, an age-, sex-, and BMI-matched healthy control group without psychiatric illness and prediabetes was included. Prediabetes was defined as elevated fasting plasma glucose and/or impaired glucose tolerance and/or elevated glycated hemoglobin A1c.
ResultsAmong 145 schizophrenia patients (age = 42.1 years; males = 59.3%) on clozapine or olanzapine (clozapine/olanzapine/both: 73.8%/24.1%/2.1%), prediabetes was present in 69.7% (101 out of 145). While schizophrenia patients with and without prediabetes did not differ regarding demographic, illness, or antipsychotic treatment variables, metabolic abnormalities (waist circumference: 116.7±13.7 vs 110.1±13.6 cm, P = 0.007; triglycerides: 2.3±1.4 vs 1.6±0.9 mmol/L, P = 0.0004) and metabolic syndrome (76.2% vs 40.9%, P<0.0001) were significantly more pronounced in schizophrenia patients with vs without prediabetes. The age-, sex-, and BMI-matched healthy controls had significantly better glucose tolerance compared to both groups of patients with schizophrenia. The healthy controls also had higher levels of high-density lipoprotein compared to patients with schizophrenia and prediabetes.
ConclusionPrediabetes and metabolic abnormalities were highly prevalent among the clozapine- and olanzapine-treated patients with schizophrenia, putting these patients at great risk for later type 2 diabetes and cardiovascular disease. These results stress the importance of identifying and adequately treating prediabetes and metabolic abnormalities among clozapine- and olanzapine-treated patients with schizophrenia.
The Prevalence and Severity of Underreporting Bias in Machine- and Human-Coded Data
- Benjamin E. Bagozzi, Patrick T. Brandt, John R. Freeman, Jennifer S. Holmes, Alisha Kim, Agustin Palao Mendizabal, Carly Potz-Nielsen
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- Political Science Research and Methods / Volume 7 / Issue 3 / July 2019
- Published online by Cambridge University Press:
- 05 March 2018, pp. 641-649
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Textual data are plagued by underreporting bias. For example, news sources often fail to report human rights violations. Cook et al. propose a multi-source estimator to gauge, and to account for, the underreporting of state repression events within human codings of news texts produced by the Agence France-Presse and Associated Press. We evaluate this estimator with Monte Carlo experiments, and then use it to compare the prevalence and seriousness of underreporting when comparable texts are machine coded and recorded in the World-Integrated Crisis Early Warning System dataset. We replicate Cook et al.’s investigation of human-coded state repression events with our machine-coded events, and validate both models against an external measure of human rights protections in Africa. We then use the Cook et al. estimator to gauge the seriousness and prevalence of underreporting in machine and human-coded event data on human rights violations in Colombia. We find in both applications that machine-coded data are as valid as human-coded data.
Cognitive ability and risk of post-traumatic stress disorder after military deployment: an observational cohort study
- Lars R. Nissen, Karen-Inge Karstoft, Mia S. Vedtofte, Anni B.S. Nielsen, Merete Osler, Erik L. Mortensen, Gunhild T. Christensen, Søren B. Andersen
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- Journal:
- BJPsych Open / Volume 3 / Issue 6 / November 2017
- Published online by Cambridge University Press:
- 02 January 2018, pp. 274-280
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Background
Studies of the association between pre-deployment cognitive ability and post-deployment post-traumatic stress disorder (PTSD) have shown mixed results.
AimsTo study the inflence of pre-deployment cognitive ability on PTSD symptoms 6–8 months post-deployment in a large population while controlling for pre-deployment education and deployment-related variables.
MethodStudy linking prospective pre-deployment conscription board data with post-deployment self-reported data in 9695 Danish Army personnel deployed to different war zones in 1997–2013. The association between pre-deployment cognitive ability and post-deployment PTSD was investigated using repeated-measure logistic regression models. Two models with cognitive ability score as the main exposure variable were created (model 1 and model 2). Model 1 was only adjusted for pre-deployment variables, while model 2 was adjusted for both pre-deployment and deployment-related variables.
ResultsWhen including only variables recorded pre-deployment (cognitive ability score and educational level) and gender (model 1), all variables predicted post-deployment PTSD. When deployment-related variables were added (model 2), this was no longer the case for cognitive ability score. However, when educational level was removed from the model adjusted for deployment-related variables, the association between cognitive ability and post-deployment PTSD became significant.
ConclusionsPre-deployment lower cognitive ability did not predict post-deployment PTSD independently of educational level after adjustment for deployment-related variables.
Comorbidity of autoimmune thyroid disorders and psychiatric disorders during the postpartum period: a Danish nationwide register-based cohort study
- V. Bergink, V. J. M. Pop, P. R. Nielsen, E. Agerbo, T. Munk-Olsen, X. Liu
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- Journal:
- Psychological Medicine / Volume 48 / Issue 8 / June 2018
- Published online by Cambridge University Press:
- 20 September 2017, pp. 1291-1298
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Background
The postpartum period is well-known risk period for the first onset of autoimmune thyroid disorders (AITDs) as well as first onset of psychiatric disorders. These two disorders are some of the most prevalent medical conditions postpartum, often misdiagnosed and disabling if left untreated. Our study was designed to explore the possible bidirectional association between AITDs and psychiatric disorders during the postpartum period.
MethodsA population-based cohort study through linkage of Danish national registers, which comprised 312 779 women who gave birth to their first child during 1997–2010. We conducted Poisson regression analysis to estimate the incidence rate ratio (IRR) of psychiatric disorders among women with first-onset AITDs, the IRR of AITDs among women with first-onset psychiatric disorders as well as the overlap between these disorders using a comorbidity index.
ResultsWomen with first-onset AITDs postpartum were more likely to have first-onset psychiatric disorders than women who did not have postpartum AITDs (IRR = 1.88, 95% confidence interval (CI): 1.25–2.81). Women with first-onset postpartum psychiatric disorders had a higher risk of AITDs than women with no psychiatric disorders (IRR = 2.16, 95% CI: 1.45–3.20). The comorbidity index 2 years after delivery was 2.26 (95% CI: 1.61–2.90), indicating a comorbidity between first-onset AITDs and psychiatric disorders.
ConclusionsFirst-onset AITDs and psychiatric disorders co-occur in the postpartum period, which has relevance to further studies on the etiologies of these disorders and why childbirth in particular triggers the onset.
Job strain as a risk factor for clinical depression: systematic review and meta-analysis with additional individual participant data
- I. E. H. Madsen, S. T. Nyberg, L. L. Magnusson Hanson, J. E. Ferrie, K. Ahola, L. Alfredsson, G. D. Batty, J. B. Bjorner, M. Borritz, H. Burr, J.-F. Chastang, R. de Graaf, N. Dragano, M. Hamer, M. Jokela, A. Knutsson, M. Koskenvuo, A. Koskinen, C. Leineweber, I. Niedhammer, M. L. Nielsen, M. Nordin, T. Oksanen, J. H. Pejtersen, J. Pentti, I. Plaisier, P. Salo, A. Singh-Manoux, S. Suominen, M. ten Have, T. Theorell, S. Toppinen-Tanner, J. Vahtera, A. Väänänen, P. J. M. Westerholm, H. Westerlund, E. I. Fransson, K. Heikkilä, M. Virtanen, R. Rugulies, M. Kivimäki, for the IPD-Work Consortium
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- Journal:
- Psychological Medicine / Volume 47 / Issue 8 / June 2017
- Published online by Cambridge University Press:
- 26 January 2017, pp. 1342-1356
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Background
Adverse psychosocial working environments characterized by job strain (the combination of high demands and low control at work) are associated with an increased risk of depressive symptoms among employees, but evidence on clinically diagnosed depression is scarce. We examined job strain as a risk factor for clinical depression.
MethodWe identified published cohort studies from a systematic literature search in PubMed and PsycNET and obtained 14 cohort studies with unpublished individual-level data from the Individual-Participant-Data Meta-analysis in Working Populations (IPD-Work) Consortium. Summary estimates of the association were obtained using random-effects models. Individual-level data analyses were based on a pre-published study protocol.
ResultsWe included six published studies with a total of 27 461 individuals and 914 incident cases of clinical depression. From unpublished datasets we included 120 221 individuals and 982 first episodes of hospital-treated clinical depression. Job strain was associated with an increased risk of clinical depression in both published [relative risk (RR) = 1.77, 95% confidence interval (CI) 1.47–2.13] and unpublished datasets (RR = 1.27, 95% CI 1.04–1.55). Further individual participant analyses showed a similar association across sociodemographic subgroups and after excluding individuals with baseline somatic disease. The association was unchanged when excluding individuals with baseline depressive symptoms (RR = 1.25, 95% CI 0.94–1.65), but attenuated on adjustment for a continuous depressive symptoms score (RR = 1.03, 95% CI 0.81–1.32).
ConclusionsJob strain may precipitate clinical depression among employees. Future intervention studies should test whether job strain is a modifiable risk factor for depression.
Influence of Nitrogen Application Timing on Low Density Giant Ragweed (Ambrosia trifida) Interference in Corn
- W. G. Johnson, E. J. Ott, K. D. Gibson, R. L. Nielsen, T. T. Bauman
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- Journal:
- Weed Technology / Volume 21 / Issue 3 / September 2007
- Published online by Cambridge University Press:
- 20 January 2017, pp. 763-767
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Field experiments were conducted to evaluate the influence of three nitrogen fertilizer application timings on corn and giant ragweed dry weight, corn and giant ragweed nitrogen accumulation, and corn grain yield. By the V8 growth stage, corn plants in treatments which included nitrogen at planting accumulated up to 27% more dry weight and 26% more leaf area than corn in sidedress-only treatments that had not yet received any fertilizer nitrogen. Nitrogen fertilizer application timing did not influence early-season giant ragweed dry weight, but did influence N accumulation. Giant ragweed at 0.5 plants/m2 accumulated up to 16 kg N/ha in 40-cm-tall plants by the V8 corn growth stage and up to 104 kg N/ha when allowed to remain in corn until the end of the growing season. At this density of giant ragweed, corn yields were not reduced if removed by the V8 corn growth stage. However, season-long interference reduced corn yields by up to 19% regardless of nitrogen application timing. Early-season giant ragweed growth was less responsive to nitrogen application timing than corn, suggesting that nitrogen management programs should not be altered significantly to influence giant ragweed competitiveness in corn. However, giant ragweed should be removed in a timely manner to minimize nitrogen accumulation in nitrogen-limiting corn production situations.
Diagnostic Conversion to Bipolar Disorder in Unipolar Depressed Patients Participating in Trials on Antidepressants
- J. Holmskov, R.W. Licht, K. Andersen, T. Bjerregaard Stage, F. Mørkeberg Nilsson, K. Bjerregaard Stage, J.B. Valentin, P. Bech, R. Ernst Nielsen
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- Journal:
- European Psychiatry / Volume 40 / February 2017
- Published online by Cambridge University Press:
- 18 December 2016, pp. 76-81
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Objective
In unipolar depressed patients participating in trials on antidepressants, we investigated if illness characteristics at baseline could predict conversion to bipolar disorder.
MethodA long-term register-based follow-up study of 290 unipolar depressed patients with a mean age of 50.8 years (SD = 11.9) participating in three randomized trials on antidepressants conducted in the period 1985–1994. The independent effects of explanatory variables were examined by applying Cox regression analyses.
ResultsThe overall risk of conversion was 20.7%, with a mean follow-up time of 15.2 years per patient. The risk of conversion was associated with an increasing number of previous depressive episodes at baseline, [HR 1.18, 95% CI (1.10–1.26)]. No association with gender, age, age at first depressive episode, duration of baseline episode, subtype of depression or any of the investigated HAM-D subscales included was found.
LimitationsThe patients were followed-up through the Danish Psychiatric Central Research Register, which resulted in inherent limitations such as possible misclassification of outcome.
ConclusionIn a sample of middle-aged hospitalized unipolar depressed patients participating in trials on antidepressants, the risk of conversion was associated with the number of previous depressive episodes. Therefore, this study emphasizes that unipolar depressed patients experiencing a relatively high number of recurrences should be followed more closely, or at least be informed about the possible increased risk of conversion.
Contributors
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- By Mitchell Aboulafia, Frederick Adams, Marilyn McCord Adams, Robert M. Adams, Laird Addis, James W. Allard, David Allison, William P. Alston, Karl Ameriks, C. Anthony Anderson, David Leech Anderson, Lanier Anderson, Roger Ariew, David Armstrong, Denis G. Arnold, E. J. Ashworth, Margaret Atherton, Robin Attfield, Bruce Aune, Edward Wilson Averill, Jody Azzouni, Kent Bach, Andrew Bailey, Lynne Rudder Baker, Thomas R. Baldwin, Jon Barwise, George Bealer, William Bechtel, Lawrence C. Becker, Mark A. Bedau, Ernst Behler, José A. Benardete, Ermanno Bencivenga, Jan Berg, Michael Bergmann, Robert L. Bernasconi, Sven Bernecker, Bernard Berofsky, Rod Bertolet, Charles J. Beyer, Christian Beyer, Joseph Bien, Joseph Bien, Peg Birmingham, Ivan Boh, James Bohman, Daniel Bonevac, Laurence BonJour, William J. Bouwsma, Raymond D. Bradley, Myles Brand, Richard B. Brandt, Michael E. Bratman, Stephen E. Braude, Daniel Breazeale, Angela Breitenbach, Jason Bridges, David O. Brink, Gordon G. Brittan, Justin Broackes, Dan W. Brock, Aaron Bronfman, Jeffrey E. Brower, Bartosz Brozek, Anthony Brueckner, Jeffrey Bub, Lara Buchak, Otavio Bueno, Ann E. Bumpus, Robert W. Burch, John Burgess, Arthur W. Burks, Panayot Butchvarov, Robert E. Butts, Marina Bykova, Patrick Byrne, David Carr, Noël Carroll, Edward S. Casey, Victor Caston, Victor Caston, Albert Casullo, Robert L. Causey, Alan K. L. Chan, Ruth Chang, Deen K. Chatterjee, Andrew Chignell, Roderick M. Chisholm, Kelly J. Clark, E. J. Coffman, Robin Collins, Brian P. Copenhaver, John Corcoran, John Cottingham, Roger Crisp, Frederick J. Crosson, Antonio S. Cua, Phillip D. Cummins, Martin Curd, Adam Cureton, Andrew Cutrofello, Stephen Darwall, Paul Sheldon Davies, Wayne A. Davis, Timothy Joseph Day, Claudio de Almeida, Mario De Caro, Mario De Caro, John Deigh, C. F. Delaney, Daniel C. Dennett, Michael R. DePaul, Michael Detlefsen, Daniel Trent Devereux, Philip E. Devine, John M. Dillon, Martin C. Dillon, Robert DiSalle, Mary Domski, Alan Donagan, Paul Draper, Fred Dretske, Mircea Dumitru, Wilhelm Dupré, Gerald Dworkin, John Earman, Ellery Eells, Catherine Z. Elgin, Berent Enç, Ronald P. Endicott, Edward Erwin, John Etchemendy, C. Stephen Evans, Susan L. Feagin, Solomon Feferman, Richard Feldman, Arthur Fine, Maurice A. Finocchiaro, William FitzPatrick, Richard E. Flathman, Gvozden Flego, Richard Foley, Graeme Forbes, Rainer Forst, Malcolm R. Forster, Daniel Fouke, Patrick Francken, Samuel Freeman, Elizabeth Fricker, Miranda Fricker, Michael Friedman, Michael Fuerstein, Richard A. Fumerton, Alan Gabbey, Pieranna Garavaso, Daniel Garber, Jorge L. A. Garcia, Robert K. Garcia, Don Garrett, Philip Gasper, Gerald Gaus, Berys Gaut, Bernard Gert, Roger F. Gibson, Cody Gilmore, Carl Ginet, Alan H. Goldman, Alvin I. Goldman, Alfonso Gömez-Lobo, Lenn E. Goodman, Robert M. Gordon, Stefan Gosepath, Jorge J. E. Gracia, Daniel W. Graham, George A. Graham, Peter J. Graham, Richard E. Grandy, I. Grattan-Guinness, John Greco, Philip T. Grier, Nicholas Griffin, Nicholas Griffin, David A. Griffiths, Paul J. Griffiths, Stephen R. Grimm, Charles L. Griswold, Charles B. Guignon, Pete A. Y. Gunter, Dimitri Gutas, Gary Gutting, Paul Guyer, Kwame Gyekye, Oscar A. Haac, Raul Hakli, Raul Hakli, Michael Hallett, Edward C. Halper, Jean Hampton, R. James Hankinson, K. R. Hanley, Russell Hardin, Robert M. Harnish, William Harper, David Harrah, Kevin Hart, Ali Hasan, William Hasker, John Haugeland, Roger Hausheer, William Heald, Peter Heath, Richard Heck, John F. Heil, Vincent F. Hendricks, Stephen Hetherington, Francis Heylighen, Kathleen Marie Higgins, Risto Hilpinen, Harold T. Hodes, Joshua Hoffman, Alan Holland, Robert L. Holmes, Richard Holton, Brad W. Hooker, Terence E. Horgan, Tamara Horowitz, Paul Horwich, Vittorio Hösle, Paul Hoβfeld, Daniel Howard-Snyder, Frances Howard-Snyder, Anne Hudson, Deal W. Hudson, Carl A. Huffman, David L. Hull, Patricia Huntington, Thomas Hurka, Paul Hurley, Rosalind Hursthouse, Guillermo Hurtado, Ronald E. Hustwit, Sarah Hutton, Jonathan Jenkins Ichikawa, Harry A. Ide, David Ingram, Philip J. Ivanhoe, Alfred L. Ivry, Frank Jackson, Dale Jacquette, Joseph Jedwab, Richard Jeffrey, David Alan Johnson, Edward Johnson, Mark D. Jordan, Richard Joyce, Hwa Yol Jung, Robert Hillary Kane, Tomis Kapitan, Jacquelyn Ann K. Kegley, James A. Keller, Ralph Kennedy, Sergei Khoruzhii, Jaegwon Kim, Yersu Kim, Nathan L. King, Patricia Kitcher, Peter D. Klein, E. D. Klemke, Virginia Klenk, George L. Kline, Christian Klotz, Simo Knuuttila, Joseph J. Kockelmans, Konstantin Kolenda, Sebastian Tomasz Kołodziejczyk, Isaac Kramnick, Richard Kraut, Fred Kroon, Manfred Kuehn, Steven T. Kuhn, Henry E. Kyburg, John Lachs, Jennifer Lackey, Stephen E. Lahey, Andrea Lavazza, Thomas H. Leahey, Joo Heung Lee, Keith Lehrer, Dorothy Leland, Noah M. Lemos, Ernest LePore, Sarah-Jane Leslie, Isaac Levi, Andrew Levine, Alan E. Lewis, Daniel E. Little, Shu-hsien Liu, Shu-hsien Liu, Alan K. L. Chan, Brian Loar, Lawrence B. Lombard, John Longeway, Dominic McIver Lopes, Michael J. Loux, E. J. Lowe, Steven Luper, Eugene C. Luschei, William G. Lycan, David Lyons, David Macarthur, Danielle Macbeth, Scott MacDonald, Jacob L. Mackey, Louis H. Mackey, Penelope Mackie, Edward H. Madden, Penelope Maddy, G. B. Madison, Bernd Magnus, Pekka Mäkelä, Rudolf A. Makkreel, David Manley, William E. Mann (W.E.M.), Vladimir Marchenkov, Peter Markie, Jean-Pierre Marquis, Ausonio Marras, Mike W. Martin, A. P. Martinich, William L. McBride, David McCabe, Storrs McCall, Hugh J. McCann, Robert N. McCauley, John J. McDermott, Sarah McGrath, Ralph McInerny, Daniel J. McKaughan, Thomas McKay, Michael McKinsey, Brian P. McLaughlin, Ernan McMullin, Anthonie Meijers, Jack W. Meiland, William Jason Melanson, Alfred R. Mele, Joseph R. Mendola, Christopher Menzel, Michael J. Meyer, Christian B. Miller, David W. Miller, Peter Millican, Robert N. Minor, Phillip Mitsis, James A. Montmarquet, Michael S. Moore, Tim Moore, Benjamin Morison, Donald R. Morrison, Stephen J. Morse, Paul K. Moser, Alexander P. D. Mourelatos, Ian Mueller, James Bernard Murphy, Mark C. Murphy, Steven Nadler, Jan Narveson, Alan Nelson, Jerome Neu, Samuel Newlands, Kai Nielsen, Ilkka Niiniluoto, Carlos G. Noreña, Calvin G. Normore, David Fate Norton, Nikolaj Nottelmann, Donald Nute, David S. Oderberg, Steve Odin, Michael O’Rourke, Willard G. Oxtoby, Heinz Paetzold, George S. Pappas, Anthony J. Parel, Lydia Patton, R. P. Peerenboom, Francis Jeffry Pelletier, Adriaan T. Peperzak, Derk Pereboom, Jaroslav Peregrin, Glen Pettigrove, Philip Pettit, Edmund L. Pincoffs, Andrew Pinsent, Robert B. Pippin, Alvin Plantinga, Louis P. Pojman, Richard H. Popkin, John F. Post, Carl J. Posy, William J. Prior, Richard Purtill, Michael Quante, Philip L. Quinn, Philip L. Quinn, Elizabeth S. Radcliffe, Diana Raffman, Gerard Raulet, Stephen L. Read, Andrews Reath, Andrew Reisner, Nicholas Rescher, Henry S. Richardson, Robert C. Richardson, Thomas Ricketts, Wayne D. Riggs, Mark Roberts, Robert C. Roberts, Luke Robinson, Alexander Rosenberg, Gary Rosenkranz, Bernice Glatzer Rosenthal, Adina L. Roskies, William L. Rowe, T. M. Rudavsky, Michael Ruse, Bruce Russell, Lilly-Marlene Russow, Dan Ryder, R. M. Sainsbury, Joseph Salerno, Nathan Salmon, Wesley C. Salmon, Constantine Sandis, David H. Sanford, Marco Santambrogio, David Sapire, Ruth A. Saunders, Geoffrey Sayre-McCord, Charles Sayward, James P. Scanlan, Richard Schacht, Tamar Schapiro, Frederick F. Schmitt, Jerome B. Schneewind, Calvin O. Schrag, Alan D. Schrift, George F. Schumm, Jean-Loup Seban, David N. Sedley, Kenneth Seeskin, Krister Segerberg, Charlene Haddock Seigfried, Dennis M. Senchuk, James F. Sennett, William Lad Sessions, Stewart Shapiro, Tommie Shelby, Donald W. Sherburne, Christopher Shields, Roger A. Shiner, Sydney Shoemaker, Robert K. Shope, Kwong-loi Shun, Wilfried Sieg, A. John Simmons, Robert L. Simon, Marcus G. Singer, Georgette Sinkler, Walter Sinnott-Armstrong, Matti T. Sintonen, Lawrence Sklar, Brian Skyrms, Robert C. Sleigh, Michael Anthony Slote, Hans Sluga, Barry Smith, Michael Smith, Robin Smith, Robert Sokolowski, Robert C. Solomon, Marta Soniewicka, Philip Soper, Ernest Sosa, Nicholas Southwood, Paul Vincent Spade, T. L. S. Sprigge, Eric O. Springsted, George J. Stack, Rebecca Stangl, Jason Stanley, Florian Steinberger, Sören Stenlund, Christopher Stephens, James P. Sterba, Josef Stern, Matthias Steup, M. A. Stewart, Leopold Stubenberg, Edith Dudley Sulla, Frederick Suppe, Jere Paul Surber, David George Sussman, Sigrún Svavarsdóttir, Zeno G. Swijtink, Richard Swinburne, Charles C. Taliaferro, Robert B. Talisse, John Tasioulas, Paul Teller, Larry S. Temkin, Mark Textor, H. S. Thayer, Peter Thielke, Alan Thomas, Amie L. Thomasson, Katherine Thomson-Jones, Joshua C. Thurow, Vzalerie Tiberius, Terrence N. Tice, Paul Tidman, Mark C. Timmons, William Tolhurst, James E. Tomberlin, Rosemarie Tong, Lawrence Torcello, Kelly Trogdon, J. D. Trout, Robert E. Tully, Raimo Tuomela, John Turri, Martin M. Tweedale, Thomas Uebel, Jennifer Uleman, James Van Cleve, Harry van der Linden, Peter van Inwagen, Bryan W. Van Norden, René van Woudenberg, Donald Phillip Verene, Samantha Vice, Thomas Vinci, Donald Wayne Viney, Barbara Von Eckardt, Peter B. M. Vranas, Steven J. Wagner, William J. Wainwright, Paul E. Walker, Robert E. Wall, Craig Walton, Douglas Walton, Eric Watkins, Richard A. Watson, Michael V. Wedin, Rudolph H. Weingartner, Paul Weirich, Paul J. Weithman, Carl Wellman, Howard Wettstein, Samuel C. Wheeler, Stephen A. White, Jennifer Whiting, Edward R. Wierenga, Michael Williams, Fred Wilson, W. Kent Wilson, Kenneth P. Winkler, John F. Wippel, Jan Woleński, Allan B. Wolter, Nicholas P. Wolterstorff, Rega Wood, W. Jay Wood, Paul Woodruff, Alison Wylie, Gideon Yaffe, Takashi Yagisawa, Yutaka Yamamoto, Keith E. Yandell, Xiaomei Yang, Dean Zimmerman, Günter Zoller, Catherine Zuckert, Michael Zuckert, Jack A. Zupko (J.A.Z.)
- Edited by Robert Audi, University of Notre Dame, Indiana
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- Book:
- The Cambridge Dictionary of Philosophy
- Published online:
- 05 August 2015
- Print publication:
- 27 April 2015, pp ix-xxx
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- By Agoston T. Agoston, Syed Z. Ali, Mahul B. Amin, Daniel A. Arber, Pedram Argani, Sylvia L. Asa, Rebecca N. Baergen, Zubair W. Baloch, Andrew M. Bellizzi, Kurt Benirschke, Allen Burke, Kenneth B. Calder, Karen L. Chang, Rebecca D. Chernock, Wang Cheung, Thomas V. Colby, Byron P. Croker, Ronald A. DeLellis, Edward F. DiCarlo, Ralph C. Eagle, Hormoz Ehya, Brett M. Elicker, Tarik M. Elsheikh, Robert E. Fechner, Linda D. Ferrell, Melina B. Flanagan, Douglas B. Flieder, Christopher S. Foster, Lillian Gaber, Karuna Garg, Kim R. Geisinger, Ryan M. Gill, Eric F. Glassy, David J. Glembocki, Zachary D. Goodman, Robert O. Greer, David J. Grignon, Gerardo E. Guiter, Kymberly A. Gyure, Ian S. Hagemann, Michael R. Henry, Jason L. Hornick, Ralph H. Hruban, Phyllis C. Huettner, Peter A. Humphrey, Olga B. Ioffe, Edward C. Klatt, Michael J. Klein, Ernest E. Lack, James N. Lampros, Lester J. Layfield, Robin D. LeGallo, Kevin O. Leslie, James S. Lewis, Virginia A. LiVolsi, Alberto M. Marchevsky, Anne Marie McNicol, Mitra Mehrad, Elizabeth Montgomery, Cesar A. Moran, Christopher A. Moskaluk, George J. Netto, G. Petur Nielsen, Robert D. Odze, Arthur S. Patchefsky, James W. Patterson, Elizabeth N. Pavlisko, John D. Pfeifer, Celeste N. Powers, Richard A. Prayson, Anja C. Roden, Victor L. Roggli, Andrew E. Rosenberg, Sherif Said, Margie A. Scott, Raja R. Seethala, Carlie S. Sigel, Jan F. Silverman, Bruce R. Smoller, Edward B. Stelow, Nora C. J. Sun, Mark W. Teague, Satish K. Tickoo, Thomas M. Ulbright, Paul E. Wakely, Jun Wang, Lawrence M. Weiss, Mark R. Wick, Howard H. Wu, Rhonda K. Yantiss, Charles Zaloudek, Yaxia Zhang, Xiaohui Sheila Zhao
- Edited by Mark R. Wick, University of Virginia, Virginia A. LiVolsi, University of Pennsylvania School of Medicine, John D. Pfeifer, Washington University School of Medicine, St Louis, Edward B. Stelow, University of Virginia, Paul E. Wakely, Jr
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- Book:
- Silverberg's Principles and Practice of Surgical Pathology and Cytopathology
- Published online:
- 13 March 2015
- Print publication:
- 26 March 2015, pp vii-x
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Register-based predictors of violations of animal welfare legislation in dairy herds
- N. D. Otten, L. R. Nielsen, P. T. Thomsen, H. Houe
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The assessment of animal welfare can include resource-based or animal-based measures. Official animal welfare inspections in Denmark primarily control compliance with animal welfare legislation based on resource measures (e.g. housing system) and usually do not regard animal response parameters (e.g. clinical and behavioural observations). Herds selected for welfare inspections are sampled by a risk-based strategy based on existing register data. The aim of the present study was to evaluate register data variables as predictors of dairy herds with violations of the animal welfare legislation (VoAWL) defined as occurrence of at least one of the two most frequently violated measures found at recent inspections in Denmark, namely (a) presence of injured animals not separated from the rest of the group and/or (b) animals in a condition warranting euthanasia still being present in the herd. A total of 25 variables were extracted from the Danish Cattle Database and assessed as predictors using a multivariable logistic analysis of a data set including 73 Danish dairy herds, which all had more than 100 cows and cubicle loose-housing systems. Univariable screening was used to identify variables associated with VoAWL at a P-value<0.2 for the inclusion in a multivariable logistic regression analysis. Backward selection procedures identified the following variables for the final model predictive of VoAWL: increasing standard deviation of milk yield for first lactation cows, high bulk tank somatic cell count (⩾250 000 cells/ml) and suspiciously low number of recorded veterinary treatments (⩽25 treatments/100 cow years). The identified predictors may be explained by underlying management factors leading to impaired animal welfare in the herd, such as poor hygiene, feeding and management of dry or calving cows and sick animals. However, further investigations are required for causal inferences to be established.
Trace Element Analysis of Sulfur in a Japanese Sword
- N. Mori, R. Kamiyama, T. Tanaka, P. McSwiggen, H. Onoders, C. Nielsen
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- Journal:
- Microscopy and Microanalysis / Volume 19 / Issue S2 / August 2013
- Published online by Cambridge University Press:
- 09 October 2013, pp. 1432-1433
- Print publication:
- August 2013
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Extended abstract of a paper presented at Microscopy and Microanalysis 2013 in Indianapolis, Indiana, USA, August 4 – August 8, 2013.
Pooling European all-cause mortality: methodology and findings for the seasons 2008/2009 to 2010/2011
- J. NIELSEN, A. MAZICK, N. ANDREWS, M. DETSIS, T. M. FENECH, V. M. FLORES, A. FOULLIET, B. GERGONNE, H. K. GREEN, C. JUNKER, B. NUNES, J. O'DONNELL, A. OZA, A. PALDY, R. PEBODY, A. REYNOLDS, T. SIDEROGLOU, B. E. SNIJDERS, F. SIMON-SORIA, H. UPHOFF, L. VAN ASTEN, M. J. VIRTANEN, F. WUILLAUME, K. MØLBAK
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- Journal:
- Epidemiology & Infection / Volume 141 / Issue 9 / September 2013
- Published online by Cambridge University Press:
- 27 November 2012, pp. 1996-2010
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Several European countries have timely all-cause mortality monitoring. However, small changes in mortality may not give rise to signals at the national level. Pooling data across countries may overcome this, particularly if changes in mortality occur simultaneously. Additionally, pooling may increase the power of monitoring populations with small numbers of expected deaths, e.g. younger age groups or fertile women. Finally, pooled analyses may reveal patterns of diseases across Europe. We describe a pooled analysis of all-cause mortality across 16 European countries. Two approaches were explored. In the ‘summarized’ approach, data across countries were summarized and analysed as one overall country. In the ‘stratified’ approach, heterogeneities between countries were taken into account. Pooling using the ‘stratified’ approach was the most appropriate as it reflects variations in mortality. Excess mortality was observed in all winter seasons albeit slightly higher in 2008/09 than 2009/10 and 2010/11. In the 2008/09 season, excess mortality was mainly in elderly adults. In 2009/10, when pandemic influenza A(H1N1) dominated, excess mortality was mainly in children. The 2010/11 season reflected a similar pattern, although increased mortality in children came later. These patterns were less clear in analyses based on data from individual countries. We have demonstrated that with stratified pooling we can combine local mortality monitoring systems and enhance monitoring of mortality across Europe.
Contributors
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- By Dag Aarsland, Adrià Arboix, Carlos Bazán, James T. Becker, Sylvie Belleville, Kevin M. Biglan, Sandra E. Black, Mariana Blanco, Rémi W. Bouchard, Bruce J. Brew, David J. Burn, Leonardo Caixeta, Richard Camicioli, Paulo Caramelli, Neil Cashman, Nicholas W. S. Davies, Yan Deschaintre, Rachel S. Doody, Bruno Dubois, Uwe Ehrt, Stephane Epelbaum, Ryan V. V. Evans, Joseph M. Ferrara, Bruno Franchi, Morris Freedman, Anders Gade, Serge Gauthier, Marta Grau-Olivares, Matthew E. Growdon, Will Guest, Marie Christie Guiot, Shahul Hameed, Mirna Lie Hosogi-Senaha, Ging-Yuek Robin Hsiung, Masamichi Ikawa, Rajive Jassal, Vesna Jelic, Peter Johannsen, Edward S. Johnson, Mary M. Kenan, Bert-Jan Kerklaan, Benjamin Lam, Gabriel C. Léger, Gabriel Leonard, Emilie Lepage, Irene Litvan, Oscar L. Lopez, Ian R. A. Mackenzie, Mario Masellis, Fodi Massoud, Paige Moorhouse, John C. Morris, Taim Muayqil, Yannick Nadeau, Inger Nennesmo, Jørgen E. Nielsen, Ricardo Nitrini, Sven-Eric Pålhagen, Robert Perry, Gerald Pfeffer, Machiel Pleizier, Steffen Plickert, Gil D. Rabinovici, Philippe H. Robert, Lothar Resch, Gustavo C. Román, Maxime Ros, Pedro Rosa-Neto, Aiman Sanosi, Philip Scheltens, Christian Schmidt, Eric Schmidt, Jean-Paul Soucy, Jette Stokholm, David Summers, Rawan Tarawneh, Louis Verret, Huali Wang, Bengt Winblad, Makoto Yoneda, Xin Yu, Inga Zerr
- Edited by Serge Gauthier, McGill University, Montréal, Pedro Rosa-Neto, McGill University, Montréal
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- Book:
- Case Studies in Dementia
- Published online:
- 16 May 2011
- Print publication:
- 21 April 2011, pp viii-xiv
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