214 results on '"Anderson, Anna"'
Search Results
2. A simplified G-CSF–free procedure allows for in vivo HSC gene therapy of sickle cell disease in a mouse model
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Li, Chang, Anderson, Anna K., Ruminski, Peter, Rettig, Michael, Karpova, Darja, Kiem, Hans-Peter, DiPersio, John F., and Lieber, André
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- 2024
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3. Development of a pre-operative education and prehabilitation digital intervention for patients awaiting total knee replacement : a Virtual Knee School
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Anderson, Anna Mary, Redmond, Anthony C., McHugh, Gretl A., Comer, Christine, and Yardley, Lucy
- Abstract
Background: Total knee replacement (TKR) is a common operation usually performed to relieve the symptoms of end-stage knee osteoarthritis. Patients often face a long wait for TKR whilst experiencing severe pain. Even after TKR, ~20% of patients continue to experience long-term pain. Providing pre-operative TKR education and prehabilitation (pre-operative health/wellbeing optimisation) support could improve pre- and post-operative outcomes. However, current pre-operative TKR services are variable, inefficient and often inadequate. A rigorously developed digital intervention could help address these problems. Aim: To develop a pre-operative TKR education and prehabilitation digital intervention, the 'Virtual Knee School' (VKS). Methods and findings: The VKS was developed using an evidence-, theory- and person-based approach and complex mixed methods design. A rapid review (n=52 studies) demonstrated that definitive evidence on the optimal content/delivery of pre-operative TKR interventions is lacking. A modified Delphi study (n=30 patients; n=30 professionals) enabled the development of recommendations on pre-operative TKR interventions, which support digital delivery formats. A qualitative descriptive study (n=14 patients) highlighted the VKS should account for individual differences and be tailored to the pre-operative context. Three theoretical modelling approaches helped guide the design, description and evaluation of the VKS. A VKS prototype was developed based on the preceding studies' findings and iteratively refined through think-aloud interviews (n=9 patients). The interviews evaluated the prototype's usability and explored patients' perspectives of it. The findings suggest the VKS would be a valuable resource for many patients pre- and post-TKR, but the digital delivery format is unlikely to meet all patients' individual needs. Conclusions: This project rigorously developed a novel pre-operative TKR digital intervention, which warrants further evaluation. Key implications include: comprehensive pre-operative TKR education and prehabilitation support should be rapidly accessible in digital and non-digital formats; pre-operative TKR digital interventions should employ computer- and self- tailoring to account for patients' individual needs/preferences.
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- 2022
4. Immunogenicity and safety of a bivalent (omicron BA.5 plus ancestral) SARS-CoV-2 recombinant spike protein vaccine as a heterologous booster dose: interim analysis of a phase 3, non-inferiority, randomised, clinical trial
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Anderson, Anna, Ang, Mary, Barnes, Timothy, Bassin, Michelle, Bessey, Kate, Bowler, Simon, Bull, Sheetal, Burr, Lucy, Burton, Robert, Byrne, Michelle, Carroll, Robert, Chee, Nicholas, Choy, Aaron, Clark, Malcolm, Dalebout, Marije, De Wet, Peter, Deshmukh, Kshama, Diez Alvarez, Sergio, Douglas, Dominic, Engelander, Jacqueline, Evangelista, Carla, Game, Stuart, Glass, Noor, Gunner, Elizabeth, Han, Jennifer, Harrison, Michael, Hing Kiang, Jason Doong, Hlaing, Thazin, Joshi, Divyansh, Joyce, Sheree, Kaluhin, Karen, Kavic, Milanka, Kononov, Juliana, Lee, Gary, Lee, Wei-I, Leelasena, Indika, Leong, Esmond, Lim, Ivan, Lister, Graham, Loh, Denissa, Magdy, Mary, Maggs, Callum, Mammoottil, Amith, McCarthy, Shannon, McKay, Nicole, Melek, Mariah, Michael Barnett, Adrian, Mohan, Rahul, Moore, Andrew, Moore, Amanda, Murdoch, Louise, Napier-Flood, Fiona, Narsai, Ushma, Neville, Alexander, Nguyen, Paul, Odarchenko, Ekaterina, Pardey, Toni, Quan, Dick, Ranagsinghe, Ushank, Rasalam, Roy, Rayar, Shiva, Ruthnam, Gonasagaran Jay, Seet, Pi, Smith, Deon, Srilakshmanan, Krishna, Taggart, Angela, Tiong, Florence, Toh, Boon, Ujvary, Eniko, Wallace, Stephanie, Wolf, Rebecca, Wong, Ian, Yoo, Hye, Young, Rhys, Bennett, Chijioke, Woo, Wayne, Bloch, Mark, Cheung, King, Griffin, Paul, Deshmukh, Sachin, Arya, Mark, Cumming, Oscar, Neville, A Munro, McCallum Pardey, Toni G, Plested, Joyce S, Cloney-Clark, Shane, Zhu, Mingzhu, Kalkeri, Raj, Patel, Nita, Marcheschi, Alex, Swan, Jennifer, Smith, Gale, Cho, Iksung, Glenn, Gregory M, Walker, Robert, and Mallory, Raburn M
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- 2024
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5. Development of an International Virtual Multidisciplinary Tumor Board for Breast Cancer in Mongolia
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Brownson, Kirstyn E., Flores-Huidobro Martinez, Angel, Ganbayar, Javkhlan, Sorensen, Leif M., Darelli-Anderson, Anna M., Prathibha, Saranya, Hoven, Noelle, Nansalmaa, Erdenekhuu, Mahlow, Jonathon, Pushkin, Batsukh, Potter, David, Tuttle, Todd, and Price, Raymond R.
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- 2024
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6. In vivo HSC prime editing rescues sickle cell disease in a mouse model
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Li, Chang, Georgakopoulou, Aphrodite, Newby, Gregory A., Chen, Peter J., Everette, Kelcee A., Paschoudi, Kiriaki, Vlachaki, Efthymia, Gil, Sucheol, Anderson, Anna K., Koob, Theodore, Huang, Lishan, Wang, Hongjie, Kiem, Hans-Peter, Liu, David R., Yannaki, Evangelia, and Lieber, André
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- 2023
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7. Stable HIV decoy receptor expression after in vivo HSC transduction in mice and NHPs: Safety and efficacy in protection from SHIV
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Li, Chang, Anderson, Anna Kate, Wang, Hongjie, Gil, Sucheol, Kim, Jiho, Huang, Lishan, Germond, Audrey, Baldessari, Audrey, Nelson, Veronica, Bar, Katharine J., Peterson, Christopher W., Bui, John, Kiem, Hans-Peter, and Lieber, André
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- 2023
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8. Medical Student Perspectives on Choosing a Career in Vascular Surgery
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DeAngelo, Madeline, Hakim, Anne, Darelli-Anderson, Anna M., Harding, Joel P., and Smith, Brigitte K.
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- 2022
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9. Content and delivery of pre-operative interventions for patients undergoing total knee replacement: a rapid review
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Anderson, Anna M., Drew, Benjamin T., Antcliff, Deborah, Redmond, Anthony C., Comer, Christine, Smith, Toby O., and McHugh, Gretl A.
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- 2022
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10. “I could have a proper ankle” – a qualitative study of patients’ perceptions of total ankle replacement and ankle fusion surgery
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Anderson, Anna M., Chapman, Lara S., Siddle, Heidi J., Watson, Sue, Klugerman, Jane, Antcliff, Deborah, Keenan, Anne-Maree, and Brockett, Claire L.
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- 2022
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11. Independent External Validation of Artificial Intelligence Algorithms for Automated Interpretation of Screening Mammography: A Systematic Review
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Anderson, Anna W., Marinovich, M. Luke, Houssami, Nehmat, Lowry, Kathryn P., Elmore, Joann G., Buist, Diana S.M., Hofvind, Solveig, and Lee, Christoph I.
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- 2022
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12. A Systematic Review of Measures of Breakthrough Pain and Their Psychometric Properties
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Liossi, Christina, Greenfield, Katie, Schoth, Daniel E, Mott, Christine, Jassal, Satbir, Fraser, Lorna K, Rajapakse, Dilini, Howard, Richard F, Johnson, Margaret, Anderson, Anna-Karenia, and Harrop, Emily
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- 2021
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13. Cellular regulation of cortisol in vivo by 11-beta hydroxysteroid dehydrogenase type 1
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Anderson, Anna Jane Claire, Walker, Brian, Reynolds, Rebecca, and Andrew, Ruth
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glucocorticoid excess ,type 2 diabetes ,11ßHSD1 ,metformin ,placebo - Abstract
Glucocorticoid excess as a result of Cushing’s syndrome or pharmacological treatment can result in the development of obesity and type 2 diabetes mellitus (T2DM). The reactivation of cortisone to cortisol is catalysed by 11βHSD1 which is expressed widely but notably in adipose tissue and liver. Studies have shown dysregulation of cortisol in these tissues with obesity potentially promoting the development of T2DM. Inhibition of 11βHSD1 has been attempted as a novel treatment for T2DM with observed improvement in glycaemic control, body weight and blood pressure. The efficacy of such agents has been disappointing with few reaching phase 2 trials. With recent evidence of bidirectional activity of 11βHSD1 in vivo it becomes apparent that dysregulation may occur at an intracellular rather than tissue level. In this thesis I address several key outstanding questions concerning the physiology and regulation of 11βHSD1 including: 1. Whether combined therapy with metformin alters 11βHSD1 activity and obscures the efficacy of 11βHSD1inhibitors; 2. Whether the contribution of 11βHSD1 to local cortisol concentrations has been under-estimated by considering total rather than free cortisol turnover; and 3. Whether recycling between cortisol and cortisone in adipose tissue and skeletal muscle in obesity is a neglected feature of 11βHSD1 biochemistry and function. Eight obese healthy men with and without type 2 diabetes were recruited to a randomised placebo controlled cross over trial. They received 4 weeks treatment with metformin and placebo. Participants with T2DM additionally received gliclazide as a further control. Using the deuterated tracer D4-cortisol 11βHSD1 activity was measured. Metformin treatment increased whole body 11βHSD1 in both groups postulated as a result of improved insulin sensitivity. 11βHSD1 is located within cells and so contributes to free tissue cortisol concentrations but perhaps less so to total (protein-bound) cortisol in plasma. It has been shown that 11βHSD1 contributes almost half of total circulating cortisol concentrations at rest. This measurement relied upon blood sampling during steady state deuterated cortisol (D4-cortisol) infusion with measurements of total (free plus protein bound) cortisol which may have underestimated true 11βHSD1 activity. This was therefore investigated by comparing 11βHSD1 activity as calculated using total compared with free cortisol tracer enrichments. Equilibrium dialysis was performed separating free from bound portions in plasma samples taken from healthy volunteers who received D4-cortisol infusion. Analysis revealed similar measurements of 11βHSD1 activity using free compared with total cortisol implicating rapid turnover of glucocorticoids between the free and bound pools. On first discovery 11βHSD1 was seen to be a dehydrogenase enzyme in vitro. Later work recognised reductase activity in vivo and up until recently 11βHSD1 has been viewed as a predominantly reductase enzyme. As with other enzymes in the same family, the ability to catalyse both reductase and dehydrogenase depends upon the availability of substrate and co substrate. Whether dysregulation of 11βHSD1 in the settings of obesity and T2DM is the result of alteration in directionality at a cellular level is not known. Firstly bidirectional activity of 11βHSD1 was confirmed in vitro using HEK-293 cells stably transfected with 11βHSD1. The influence of obesity and acute perturbation with hyperinsulinaemia was subsequently investigated in vivo in a random order cross over single blinded case control study involving ten normal weight and ten obese healthy male volunteers. D4-cortisol and deuterated cortisone (D2-cortisone) were infused for the measurement of reductase and dehydrogenase activity of 11βHSD1 respectively with measurements taken across forearm muscle and abdominal subcutaneous adipose tissue. Across whole body, lean and obese individuals displayed similar 11β-reductase and 11β-dehydrogenase activity. Across tissue, 11β-reductase and 11β-dehydrogenase activity was different from zero across adipose tissue in obese individuals and across skeletal muscle in lean individuals providing further evidence of tissue specific differences in 11βHSD1 with obesity. With the addition of hyperinsulinaemia, reductase and dehydrogenase activity was somewhat increased in lean individuals although there was no statistically significant difference between lean and obese individuals. Across tissue there was a trend for obese individuals to display increased 11β-reductase activity across adipose tissue with hyperinsulinaemia. Comparing the rates of reductase and dehydrogenase activity revealed predominantly reductase activity across tissue in obese and dehydrogenase activity in lean individuals. The development of direction specific inhibitors targeting reductase activity by 11βHSD1 may prove efficacious for the treatment of obesity. In conclusion, 11βHSD1 acts as a bidirectional enzyme in vitro and in vivo. Overall directionality of enzyme activity is altered in a tissue specific manner in the setting of obesity. We have shown that this intracellular regulation of cortisol is reflected equally in the metabolically active free pool and total plasma pool. The efficacy of 11βHSD1 inhibitors as novel agents for the treatment of T2DM and coexisting obesity is not diminished by co-prescription with metformin but may prove more efficacious through the development of reductase specific inhibitors.
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- 2017
14. A rapid systematic review of breakthrough pain definitions and descriptions.
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Greenfield, Katie, Schoth, Daniel E, Hain, Richard, Bailey, Simon, Mott, Christine, Rajapakse, Dilini, Harrop, Emily, Renton, Kate, Anderson, Anna-Karenia, Carter, Bernie, Johnson, Margaret, and Liossi, Christina
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NOCICEPTIVE pain ,DEFINITIONS ,CINAHL database ,DATABASES ,CAREGIVERS - Abstract
Background: Breakthrough pain is common in life-limiting conditions and at end-of-life. Despite over 30 years of study, there is little consensus regarding the definition and characteristics of breakthrough pain. Objective: This study aims to update and expand a 2010 systematic review by Haugen and colleagues to identify (1) all definitions of breakthrough pain and (2) all descriptions and classifications of breakthrough pain reported by patients, caregivers, clinicians, and experts. Design: This rapid systematic review followed the Cochrane Rapid Review Methods Group guidelines. A protocol is published on PROSPERO (CRD42019155583). Data sources: CINAHL, MEDLINE, PsycINFO, and the Web of Science were searched for breakthrough pain terms from the inception dates of each database to 26th August 2022. Results: We identified 65 studies that included data on breakthrough pain definitions, descriptions, or classifications from patients (n = 30), clinicians (n = 6), and experts (n = 29), but none with data from caregivers. Most experts proposed that breakthrough pain was a sudden, severe, brief pain occurring in patients with adequately controlled mild-moderate background pain. However, definitions varied and there was no consensus. Pain characteristics were broadly similar across studies though temporal factors varied widely. Experts classified breakthrough pain into nociceptive, neuropathic, visceral, somatic, or mixed types. Patients with breakthrough pain commonly experienced depression, anxiety, and interference with daily life. Conclusions: Despite ongoing efforts, there is still no consensus on the definition of breakthrough pain. A compromise is needed on breakthrough pain nomenclature to collect reliable incidence and prevalence data and to inform further refinement of the construct. [ABSTRACT FROM AUTHOR]
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- 2024
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15. Definition and Assessment of Paediatric Breakthrough Pain: A Qualitative Interview Study.
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Dawson, Eleanor, Greenfield, Katie, Carter, Bernie, Bailey, Simon, Anderson, Anna-Karenia, Rajapakse, Dilini, Renton, Kate, Mott, Christine, Hain, Richard, Harrop, Emily, Johnson, Margaret, and Liossi, Christina
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PAIN measurement ,PATIENTS' families ,PARENTS ,PALLIATIVE treatment ,QUALITATIVE research ,INTERPROFESSIONAL relations ,MEDICAL personnel ,RESEARCH funding ,INTERVIEWING ,QUESTIONNAIRES ,DESCRIPTIVE statistics ,PEDIATRICS ,THEMATIC analysis ,SOUND recordings ,CAREGIVERS ,ATTITUDES of medical personnel ,RESEARCH methodology ,PAIN management ,BREAKTHROUGH pain ,DATA analysis software ,ADOLESCENCE ,CHILDREN - Abstract
Infants, children and young people with life-limiting or life-threatening conditions often experience acute, transient pain episodes known as breakthrough pain. There is currently no established way to assess breakthrough pain in paediatric palliative care. Anecdotal evidence suggests that it is frequently underdiagnosed and undertreated, resulting in reduced quality of life. The development of a standardised paediatric breakthrough pain assessment, based on healthcare professionals' insights, could improve patient outcomes. This study aimed to explore how healthcare professionals define and assess breakthrough pain in paediatric palliative care and their attitudes towards a validated paediatric breakthrough pain assessment. This was a descriptive qualitative interview study. Semi-structured interviews were conducted with 29 healthcare professionals working in paediatric palliative care across the UK. An inductive thematic analysis was conducted on the data. Five themes were generated: 'the elusive nature of breakthrough pain', 'breakthrough pain assessment', 'positive attitudes towards', 'reservations towards' and 'features to include in' a paediatric breakthrough pain assessment. The definition and assessment of breakthrough pain is inconsistent in paediatric palliative care. There is a clear need for a validated assessment questionnaire to improve assessment, diagnosis and management of breakthrough pain followed by increased healthcare professional education on the concept. [ABSTRACT FROM AUTHOR]
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- 2024
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16. Consensus on pre-operative total knee replacement education and prehabilitation recommendations: a UK-based modified Delphi study
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Anderson, Anna M., Comer, Christine, Smith, Toby O., Drew, Benjamin T., Pandit, Hemant, Antcliff, Deborah, Redmond, Anthony C., and McHugh, Gretl A.
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- 2021
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17. The effects of unimanual and bimanual massed practice on upper limb function in adults with cervical spinal cord injury: a systematic review
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Anderson, Anna, Alexanders, Jenny, Addington, Christine, and Astill, Sarah
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- 2019
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18. Parrhesia: Accounting for different contemporary relations between risk and politics
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Anderson, Anna
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- 2019
19. The use of rapid onset fentanyl in children and young people for breakthrough cancer pain
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Coombes, Lucy, Burke, Kimberley, and Anderson, Anna-Karenia
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- 2017
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20. Supporting patients to prepare for total knee replacement: Evidence‐, theory‐ and person‐based development of a 'Virtual Knee School' digital intervention.
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Anderson, Anna M., McHugh, Gretl A., Comer, Christine, Joseph, Judith, Smith, Toby O., Yardley, Lucy, and Redmond, Anthony C.
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RESEARCH funding , *PREHABILITATION , *INTERVIEWING , *PREOPERATIVE care , *EVALUATION of medical care , *DESCRIPTIVE statistics , *TOTAL knee replacement , *PREOPERATIVE education , *RESEARCH methodology , *MATHEMATICAL models , *SOCIAL support , *THEORY , *NEEDS assessment , *DATA analysis software , *PATIENTS' attitudes - Abstract
Introduction: Digital delivery of pre‐operative total knee replacement (TKR) education and prehabilitation could improve patient outcomes pre‐ and post‐operatively. Rigorously developing digital interventions is vital to help ensure they achieve their intended outcomes whilst mitigating their potential drawbacks. Objective: To develop a pre‐operative TKR education and prehabilitation digital intervention, the 'Virtual Knee School' (VKS). Methods: The VKS was developed using an evidence‐, theory‐ and person‐based approach. This involved a mixed methods design with four phases. The first three focused on planning the VKS. The final phase involved creating a VKS prototype and iteratively refining it through concurrent think‐aloud interviews with nine patients who were awaiting/had undergone TKR. Meta‐inferences were generated by integrating findings from all the phases. ISRCTN registration of the overall project was obtained on 24 April 2020 (ISRCTN11759773). Results: Most participants found the VKS prototype acceptable overall and considered it a valuable resource. Conversely, a minority of participants felt the prototype's digital format or content did not meet their individual needs. Participants' feedback was used to refine the prototype's information architecture, design and content. Two meta‐inferences were generated and recommend: 1.Comprehensive pre‐operative TKR education and prehabilitation support should be rapidly accessible in digital and non‐digital formats.2.Pre‐operative TKR digital interventions should employ computer‐ and self‐tailoring to account for patients' individual needs and preferences. Conclusions: Integrating evidence, theory and stakeholders' perspectives enabled the development of a promising VKS digital intervention for patients awaiting TKR. The findings suggest future research evaluating the VKS is warranted and provide recommendations for optimising pre‐operative TKR care. Patient or Public Contribution: Patient and Public Involvement (PPI) was central throughout the project. For example, PPI representatives contributed to the project planning, were valued members of the Project Advisory Group, had key roles in developing the VKS prototype and helped disseminate the project findings. [ABSTRACT FROM AUTHOR]
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- 2023
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21. Managing childhood cancer pain into survivorship: recognition and emerging principles
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Anderson, Anna-Karenia and Woods, Simon
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- 2020
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22. Pharmacological interventions for chronic pain in children: an overview of systematic reviews
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Eccleston, Christopher, Fisher, Emma, Cooper, Tess E., Grégoire, Marie-Claude, Heathcote, Lauren C., Krane, Elliot, Lord, Susan M., Sethna, Navil F., Anderson, Anna-Karenia, Anderson, Brian, Clinch, Jacqueline, Gray, Andrew L., Gold, Jeffrey I., Howard, Richard F., Ljungman, Gustaf, Moore, R. Andrew, Schechter, Neil, Wiffen, Philip J., Wilkinson, Nick M.R., Williams, David G., Wood, Chantal, van Tilburg, Miranda A.L., and Zernikow, Boris
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- 2019
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23. The landscape of UK child protection research between 2010 and 2014: Disciplines, topics, and types of maltreatment
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Soliman, Francesca, Mackay, Kirsteen, Clayton, Estelle, Gadda, Andressa, Jones, Christine, Anderson, Anna, Jones, Derek, and Taylor, Julie
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- 2016
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24. The Critical Purchase of Genealogy: Critiquing Student Participation Projects
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Anderson, Anna
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Until recently the dominant critique of "student participation" projects was one based on the theoretical assumptions of critical theory in the form of critical pedagogy. Over the last decade, we have witnessed the emergence of a critical education discourse that theorises and critically analyses such projects using Foucault's notion of "governmentality". In this paper, I argue that while these governmentality studies challenge some of the key theoretical and taken for granted assumptions upon which such initiatives rest, they neglect to challenge the central assumption that such initiatives represent a historical break with traditional schooling practices. The importance of accounting for and critically analysing these projects within a historical framework will be argued through a discussion of Foucault's notion of genealogy as a particular conception and method of critique. It will also be demonstrated using an example, which shows an unacknowledged nineteenth century history of the current discourse and practice of student participation.
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- 2015
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25. The ‘surprise’ question in paediatric palliative care: A prospective cohort study
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Burke, Kimberley, Coombes, Lucy Helen, Menezes, Antoinette, and Anderson, Anna-Karenia
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- 2018
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26. Application of stereological methods to estimate post-mortem brain surface area using 3 T MRI
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Furlong, Carolyn, García-Fiñana, Marta, Puddephat, Michael, Anderson, Anna, Fabricius, Katrine, Eriksen, Nina, Pakkenberg, Bente, and Roberts, Neil
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- 2013
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27. A Review of Hormone-Based Therapies in the Treatment of Adult Acne: Safety and Efficacy [2A]
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Trivedi, Megha, Murase, Jenny, and Anderson, Anna
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- 2017
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28. A Qualitative Study of Health Care Experiences Among International Students
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Anderson, Anna, Kitsos, Jewel, Miller, Andrea, and Abraham, Sam
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- 2017
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29. Exploring the feasibility, acceptability and value of volunteer peer mentors in supporting self-management of osteoarthritis: a qualitative evaluation.
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Lavender, Elizabeth C., Dusabe-Richards, Esther, Anderson, Anna M., Antcliff, Deborah, McGowan, Linda, Conaghan, Philip G., Kingsbury, Sarah R., and McHugh, Gretl A.
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AFFINITY groups ,SOCIAL support ,SELF-management (Psychology) ,RESEARCH methodology ,MENTORING ,INTERVIEWING ,QUALITATIVE research ,OSTEOARTHRITIS ,RESEARCH funding - Abstract
Hip and knee osteoarthritis (OA) affect a large and growing proportion of the population. Treatment options are typically conservative making self-management a priority. Using trained peers to support individuals with OA has potential to improve self-management. To explore the process of engaging and training volunteers to become peer mentors; and to qualitatively evaluate the feasibility, acceptability and value of being a peer mentor to support others' self-management of OA. A qualitative evaluation of a peer mentorship support intervention reporting the processes of recruitment and training; and semi-structured interviews conducted with nine active peer mentors. Transcribed interviews were coded and analysed using framework analysis. It was possible to recruit, train and retain volunteers with OA to become peer mentors. The peer mentors benefitted from their training and felt equipped to deliver the intervention. They enjoyed social elements of the mentorship intervention and gained satisfaction through delivering valued support to mentees. Peer mentors perceived the mentorship intervention to have a positive impact on self-management of OA for mentees. Training volunteers with OA to become peer mentors was feasible and acceptable. Peer mentors perceived their support benefitted others with OA. They positively rated their experience of providing mentorship support. This study demonstrates that it is possible to recruit, train and engage older volunteers to become peer mentors for people with osteoarthritis. Training should highlight the significance of employing key self-management techniques such as goal-setting. Peer mentors acknowledged that they benefitted from training and delivering the mentorship intervention, and this impacted positively on their own osteoarthritis self-management. Careful consideration of matching mentors and mentees appears to enhance the success of mentorship support. Recognising the impact of mentorship support on mentees' self-management is central to peer mentors' sustained engagement with the intervention. [ABSTRACT FROM AUTHOR]
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- 2022
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30. Opportunities and challenges in early diagnosis of rheumatoid arthritis in general practice.
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Siddle, Heidi J, Bradley, Stephen H, Anderson, Anna M, Mankia, Kulveer, Emery, Paul, and Richards, Suzanne H
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RHEUMATOID arthritis diagnosis ,RHEUMATOID arthritis ,SYNOVITIS ,EARLY diagnosis ,JOINT pain ,MEDICAL research ,JOINTS (Anatomy) - Abstract
Prompt diagnosis of rheumatoid arthritis (RA), the most common form of inflammatory arthritis, is crucial to optimise long-term patient outcomes through prevention of joint damage and disability. The international rheumatology community has adopted the term "pre-RA" to retrospectively describe a phase that an individual has progressed through once it is known that they have developed RA.[7] It is during this period that patients may present in primary care with non-specific musculoskeletal symptoms. 2021;7(3), e001768 11 Siddle HJ, Chapman LS, Mankia K. Perceptions and experiences of individuals at-risk of rheumatoid arthritis (RA) knowing about their risk of developing RA and being offered preventive treatment: systematic review and thematic synthesis of qualitative studies. [Extracted from the article]
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- 2023
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31. The Use of Recovery Strategies Among Participants of the BUPA Great North Run: A Cross-Sectional Survey.
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Shaw, Sarah, Smith, Tina, Alexanders, Jenny, Shaw, Thomas, Smith, Lois, Nevill, Alan, and Anderson, Anna
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ANALYSIS of variance ,CHI-squared test ,PROBABILITY theory ,QUESTIONNAIRES ,SURVEYS ,SPORTS events ,COOLDOWN ,LONG-distance running ,CROSS-sectional method ,MANN Whitney U Test ,KRUSKAL-Wallis Test ,FRIEDMAN test (Statistics) - Abstract
Objective: To investigate half-marathon runners' frequency of use of recovery strategies, perceptions regarding the most beneficial recovery strategy, and reasons for using recovery strategies. Design: Cross-sectional survey. Participants: 186 participants of the 13.1 mile BUPA Great North Run 2013. Methods: A questionnaire was developed which required participants to indicate how frequently they used 12 different recovery strategies, identify which recovery strategy they believed to be most beneficial, and rank 6 reasons for using recovery strategies in order of importance. Data were analyzed using a Friedman nonparametric ANOVA and additional nonparametric tests. Results: All participants used recovery strategies. Stretching was the most commonly used recovery strategy (P < .001), whereas the use of nutritional supplements was the most commonly selected most beneficial recovery strategy. More than 50% of respondents indicated that they never used strategies such as kinesio tape (80%), hydrotherapy (78%), or ice baths (71%). A significant difference was observed between reasons for using recovery strategy (χ2 (5) = 292.29, P < .001). Reducing muscle tightness (rank 4.87) and reducing injury (rank 4.35) were the most frequently chosen most important reasons for using recovery strategies. Minor sex and age differences in the responses were identified. Conclusion: Recovery strategy usage appears to be widespread among half-marathon runners; however, disparities exist between the frequency of use and perceived effectiveness of different recovery strategies. Further research in this area is needed to facilitate the development of recovery strategy guidelines which are both evidence-based and practically relevant. [ABSTRACT FROM AUTHOR]
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- 2017
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32. 11β-HSD1 Inhibitors for the Treatment of Type 2 Diabetes and Cardiovascular Disease
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Anderson, Anna and Walker, Brian R.
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- 2013
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33. Effect of Glucocorticoid and 11β-Hydroxysteroid-Dehydrogenase Type 1 (11β-HSD1) in Neurological and Psychiatric Disorders.
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Dodd, Seetal, Skvarc, David R, Dean, Olivia M, Anderson, Anna, Kotowicz, Mark, and Berk, Michael
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NEUROLOGICAL disorders ,MENTAL illness ,ALZHEIMER'S disease ,TYPE 2 diabetes ,CORTISONE ,GLUCOCORTICOIDS ,HYPOGLYCEMIC agents - Abstract
11β-hydroxysteroid dehydrogenase type 1 (11β-HSD1) activity is implicated as a moderator of the progression of multiple diseases and disorders in medicine and is actively subject to investigation as a therapeutic target. Here we summarize the mechanisms of the enzyme and detail the novel agents under investigation. Such agents modulate peripheral cortisol and cortisone levels in hypertension, type 2 diabetes, metabolic disorders, and Alzheimer's disease models, but there is mixed evidence for transduction into symptom management. There is inchoate evidence that 11β-HSD1 modulators may be useful pharmacotherapies for clinical improvement in psychiatry and neurology; however, more research is required. [ABSTRACT FROM AUTHOR]
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- 2022
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34. Feature story: I can and I care
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Anderson, Anna
- Published
- 2012
35. Understanding peer mentorship in supporting self‐management of hip and knee osteoarthritis: A qualitative study of mentees' perspectives.
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Lavender, Elizabeth C., Anderson, Anna M., Dusabe‐Richards, Esther, Antcliff, Deborah, Kingsbury, Sarah R., Conaghan, Philip G., and McHugh, Gretl A.
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AFFINITY groups , *KNEE osteoarthritis , *HIP osteoarthritis , *SOCIAL support , *SELF-management (Psychology) , *RESEARCH methodology , *MENTORING , *CONSUMER attitudes , *INTERVIEWING , *QUALITATIVE research , *EXPERIENCE , *DESCRIPTIVE statistics , *OLD age - Abstract
Background: Hip and knee osteoarthritis (OA) are common musculoskeletal conditions. Treatment is usually conservative, making self‐management a priority. We developed and trialled an OA peer mentorship intervention to support self‐management in older people. Our objectives were to gain understanding of the perceived challenges of living with OA and explore how a peer mentorship intervention can support tackling these challenges; and to explore mentees' experiences of receiving the intervention to understand how this affected their OA self‐management. Methods: Qualitative semi‐structured interviews focussing on acceptability and feasibility of being in the study were conducted with mentees. Transcribed interviews were double coded and subject to framework analysis. To address the objectives of this paper, three main themes were subject to focused analysis: mentees' experiences of OA, experience of peer mentorship support and factors influencing self‐management. Results: Seventeen mentees participated in an interview following completion of the peer support intervention. Themes emerging from focused analysis were the following: tackling the challenges of living with OA pre‐ and post‐intervention; and the interplay of the peer mentorship intervention and self‐management. Key elements of the latter theme are enabling factors provided by peer mentorship, and mentees' readiness to self‐manage. Conclusion: To effectively support OA self‐management, peer mentorship interventions should include core educational components and focus on strategies that enhance key enablers of self‐management. Paying attention to the mentor–mentee relationship and timing of intervention engagement can maximise opportunities for older people to adjust and transition from supported to independent self‐management. [ABSTRACT FROM AUTHOR]
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- 2022
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36. Improving healthcare transitions of surgical care through an interprofessional education elective.
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Neuberger, Kaden, McCrary, Hilary, Beckstrom, Julie, Darelli‐Anderson, Anna M., Farrell, Timothy W., Brooke, Benjamin S., Smith, Brigitte K., and Brownson, Kirstyn E.
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PERIOPERATIVE care ,EVALUATION of medical care ,CONFIDENCE ,TRANSITIONAL care ,PSYCHOLOGICAL vulnerability ,CONFERENCES & conventions ,CURRICULUM ,SURVEYS ,T-test (Statistics) ,PRE-tests & post-tests ,COMPARATIVE studies ,QUALITY assurance ,STUDENTS ,PROFESSIONAL competence ,SCALE analysis (Psychology) ,DESCRIPTIVE statistics ,INTERDISCIPLINARY education ,MEDICAL practice ,COMORBIDITY - Abstract
The article offers information on the Transitions of Care: Surgical Care Navigator Program course. According to the article, the course was implemented in January 2018 and aims to provide students in the health professions with first-hand experience in interprofessional communication during the transitions of care of medically complex surgical patients. Student perceptions after course participation in the spring of 2020 is also mentioned.
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- 2022
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37. The role of culture in the (re)production of inequalities of acceptable risk exposure: a case study in Singapore.
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Anderson, Anna
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CULTURE , *TRAFFIC accidents , *ATTITUDE (Psychology) , *RISK perception , *SOCIAL classes , *PSYCHOLOGY of immigrants - Abstract
The relationship between risk and inequality has become a key area of research and theoretical debate in sociology and risk studies more broadly. My aim in this paper is to explore the role culture plays in the (re)production of inequalities of risk exposure. More specifically, I examine the ways cultural systems shape and animate judgements about acceptable standards of risk exposure for different groups within a society. The case study examines divergent policy judgements about acceptable risk exposure to road accident injury and death between a group of temporary visa workers and all other private passengers in Singapore. A key objective of the paper is to demonstrate the conceptual and empirical utility of Mary Douglas' cultural perspective for studying interconnections between risk and inequality. In particular, how taking up the problem of 'risk acceptability' is an effective way of approaching and studying the ways risk and inequality operate as mutually constitutive relations. In the discussion I show that what counts as risk and how acceptable or not risk is judged to be depends on the cultural system of classification used and the stratified social order it (re)produces. In the conclusion I consider the broader utility and significance of this critical approach for studying relations between risk and inequality through the problem of risk acceptability. A utility that may take on a particular significance in the present time of the COVID-19 pandemic. [ABSTRACT FROM AUTHOR]
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- 2022
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38. Is body surface area still the best way to determine pump flow rate during cardiopulmonary bypass?
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Alston, R Peter, Anderson, Anna, and Sanger, Keith
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- 2006
39. Artificial nutrition and hydration for children and young people towards end of life: consensus guidelines across four specialist paediatric palliative care centres.
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Anderson, Anna-Karenia, Burke, Kimberley, Bendle, Lizzie, Koh, Michelle, McCulloch, Renee, and Breen, Maggie
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- 2021
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40. Effects of Obesity and Insulin on Tissue-Specific Recycling Between Cortisol and Cortisone in Men.
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Anderson, Anna J., Andrew, Ruth, Homer, Natalie Z. M., Hughes, Katherine A., Boyle, Luke D., Nixon, Mark, Karpe, Fredrik, Stimson, Roland H., and Walker, Brian R.
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CORTISONE ,GLUCOSE-6-phosphate dehydrogenase ,HYDROCORTISONE ,INSULIN ,ADIPOSE tissues ,SKELETAL muscle ,OBESITY ,ABDOMINAL adipose tissue ,GLUCOSE metabolism ,RESEARCH ,LIVER ,RESEARCH methodology ,HYPERINSULINISM ,MEDICAL cooperation ,EVALUATION research ,LEANNESS ,COMPARATIVE studies ,RANDOMIZED controlled trials ,IMMUNITY ,BODY mass index ,CROSSOVER trials - Abstract
Context: 11β-Hydroxysteroid dehydrogenase 1 (11βHSD1) reduces inert cortisone into active cortisol but also catalyzes reverse dehydrogenase activity. Drivers of cortisol/cortisone equilibrium are unclear. With obesity, 11βHSD1 transcripts are more abundant in adipose, but the consequences for oxidation vs reduction remain unknown.Objective: This work aimed to determine whether 11βHSD1 equilibrium in metabolic tissues is regulated by insulin and obesity.Methods: A 2-phase, randomized, crossover, single-blinded study in a clinical research facility was conducted of 10 lean and obese healthy men. 11β-Reductase and 11β-dehydrogenase activities were measured during infusion of 9,11,12,12-[2H]4-cortisol and 1,2-[2H]2-cortisone, respectively, on 2 occasions: once during saline infusion and once during a hyperinsulinemic-euglycemic clamp. Arterialized and venous samples were obtained across forearm skeletal muscle and abdominal subcutaneous adipose. Steroids were quantified by liquid chromatography-tandem mass spectrometry and adipose tissue transcripts by quantitative polymerase chain reaction.Results: Neither whole-body nor tissue-specific rates of production of cortisol or cortisone differed between lean and obese men, however insulin attenuated the diurnal decrease. Whole-body 11β-HSD1 reductase activity tended to be higher in obesity (~ 10%) and was further increased by insulin. Across adipose tissue, 11β-reductase activity was detected in obese individuals only and increased in the presence of insulin (18.99 ± 9.62 vs placebo 11.68 ± 3.63 pmol/100 g/minute; P < .05). Across skeletal muscle, 11β-dehydrogenase activity was reduced by insulin in lean men only (2.55 ± 0.90 vs 4.50 ± 1.42 pmol/100 g/minute, P < .05).Conclusions: Regeneration of cortisol is upregulated by insulin in adipose tissue but not skeletal muscle. In obesity, the equilibrium between 11β-reductase and 11β-dehydrogenase activities likely promotes cortisol accumulation in adipose, which may lead to adverse metabolic consequences. [ABSTRACT FROM AUTHOR]- Published
- 2021
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41. Romania's Holy War: Soldiers, Motivation, and the Holocaust.
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Anderson, Anna Marie
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WORLD War II , *NONFICTION - Published
- 2022
42. Inter-Rater Reliability of the Phase of Illness Tool in Pediatric Palliative Care.
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Burke, Kimberley, Coombes, Lucy H., Petruckevitch, Ann, and Anderson, Anna-Karenia
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Background: Phase of Illness is used to describe the stages of a patient's illness in the palliative care setting. Categorization is based on individual needs, family circumstances, and the adequacy of a care plan. Substantial (κ =.67) and moderate (κ =.52) inter-rater reliability is demonstrated when categorizing adults; however, there is a lack of similar studies in pediatrics. Objective: To test the inter-rater reliability of health-care professionals when assigning pediatric palliative care patients to a Phase of Illness. Furthermore, to obtain user views on phase definitions, ease of assignment, feasibility and acceptability of use. Method: A prospective cohort study in which up to 9 health-care professionals' independently allocated 80 pediatric patients to a Phase of Illness and reported on their experiences. This study took place between June and November 2017. Results: Professionals achieved a moderate level of agreement (κ = 0.50). Kappa values per phase were as follows: stable = 0.63 (substantial), unstable = 0.26 (fair), deteriorating = 0.45 (moderate), and dying = 0.43 (moderate). For the majority of allocations, professionals report that the phase definitions described patients very well (76.1%), and they found it easy to assign patients (73.5%). However, the unstable phase caused the most uncertainty. Conclusion: The results of this study suggest Phase of Illness is a moderately reliable, acceptable, and feasible tool for use in pediatric palliative care. Current results are similar to those found in some adult studies. However, in a quarter of cases, users report some uncertainty in the application of the tool, and further study is warranted to explore whether suggested refinements improve its psychometric properties. [ABSTRACT FROM AUTHOR]
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- 2020
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43. Hair cortisol in twins:heritability and genetic overlap with psychological variables and stress-system genes
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Rietschel, Liz, Streit, Fabian, McGrath, John, Davies, Gareth, Davies, Gail, de Geus, Eco J C, De Jager, Philip, Deary, Ian J, Degenhardt, Franziska, Dunn, Erin C, Ehli, Erik A, Eley, Thalia C, Escott-Price, Valentina, Hickie, Ian B, Esko, Tõnu, Finucane, Hilary K, Gill, Michael, Gordon, Scott D, Grove, Jakob, Hall, Lynsey S, Hansen, Thomas F, Søholm Hansen, Christine, Heath, Andrew C, Hansell, Narelle K, Henders, Anjali K, Herms, Stefan, Hoffmann, Per, Homuth, Georg, Horn, Carsten, Hottenga, Jouke- Jan, Hougaard, David, Huang, Hailiang, Ising, Marcus, Jansen, Rick, Wright, Margaret J, Jorgenson, Eric, Kloiber, Stefan, Knowles, James A, Kretzschmar, Warren W, Krogh, Jesper, Kutalik, Zoltán, Lang, Maren, Lewis, Glyn, Li, Yihan, MacIntyre, Donald J, Gillespie, Nathan A, Madden, Pamela Af, Marchine, Jonathan, Mbarek, Hamdi, McGuffin, Peter, Mehta, Divya, Metspalu, Andres, Middeldorp, Christel M, Mihailov, Evelin, Milani, Lili, Montgomery, Grant W, Forstner, Andreas J, Mostafavi, Sara, Mullins, Niamh, Nauck, Matthias, Ng, Bernard, Nordentoft, Merete, Nyholt, Dale R, O'Donovan, Michael C, O'Reilly, Paul F, Oskarsson, Hogni, Owen, Michael J, Schulze, Thomas G, Paciga, Sara A, Pedersen, Carsten Bøcker, Pedersen, Marianne Giørtz, Pedersen, Nancy L, Pergadia, Michele L, Peterson, Roseann E, Pettersson, Erik, Peyrot, Wouter J, Porteous, David J, Posthuma, Danielle, Wüst, Stefan, Potash, James B, Quiroz, Jorge A, Rice, John P, Riley, Brien P, Rivera, Margarita, Ruderfer, Douglas M, Saeed Mirza, Saira, Schoevers, Robert, Shen, Ling, Shi, Jianxin, Nöthen, Markus M, Sigurdsson, Engilbert, Sinnamon, Grant Cb, Smit, Johannes H, Smith, Daniel J, Smoller, Jordan W, Stephansson, Hreinn, Steinberg, Stacy, Strohmaier, Jana, Tansey, Katherine E, Teumer, Alexander, Baumgartner, Markus R, Thompson, Wesley, Thomson, Pippa A, Thorgeirsson, Thorgeir E, Treutlein, Jens, Trzaskowski, Maciej, Umbricht, Daniel, van der Auwera, Sandra, van Grootheest, Gerard, van Hemert, Albert M, Viktorin, Alexander, Zhu, Gu, Walker, Brian R, Völzke, Henry, Wang, Yunpeng, Webb, Bradley T, Weissman, Myrna M, Wellmann, Jürgen, Willemsen, Gonneke, Xi, Hualin S, Baune, Bernhard T, Blackwood, Douglas H R, Boomsma, Dorret I, Crawford, Andrew A, Børglum, Anders D, Buttenschøn, Henriette N, Cichon, Sven, Domenici, Enrico, Flint, Jonathan, Grabe, Hans J, Hamilton, Steven P, Kendler, Kenneth S, Li, Qingqin S, Lucae, Susanne, Colodro-Conde, Lucía, Magnusson, Patrik K, McIntosh, Andrew M, Mors, Ole, Bo Mortensen, Preben, Müller-Myhsok, Bertram, Penninx, Brenda Wjh, Perlis, Roy H, Preisig, Martin, Schaefer, Catherine, Medland, Sarah E, Stephansson, Kari, Tiemeier, Henning, Uher, Rudolf, Werge, Thomas, Winslow, Ashley R, Breen, Gerome, Levinson, Douglas F, Lewis, Cathryn M, Wray, Naomi R, Sullivan, Patrick F, Martin, Nicholas G, Rietschel, Marcella, Bolton, Jennifer L, Hayward, Caroline, Direk, Nese, Anderson, Anna, McAloney, Kerrie, Huffman, Jennifer, Wilson, James F, Campbell, Harry, Rudan, Igor, Wright, Alan, Hastie, Nicholas, Wild, Sarah H, Velders, Fleur P, Hofman, Albert, Uitterlinden, Andre G, Frank, Josef, Lahti, Jari, Räikkönen, Katri, Kajantie, Eero, Widen, Elisabeth, Palotie, Aarno, Eriksson, Johan G, Kaakinen, Marika, Järvelin, Marjo-Riitta, Timpson, Nicholas J, Davey Smith, George, Couvy-Duchesne, Baptiste, Ring, Susan M, Evans, David M, St Pourcain, Beate, Tanaka, Toshiko, Milaneschi, Yuri, Bandinelli, Stefania, Ferrucci, Luigi, van der Harst, Pim, Rosmalen, Judith Gm, Bakker, Stephen Jl, Witt, Stephanie H, Verweij, Niek, Dullaart, Robin Pf, Mahajan, Anubha, Lindgren, Cecilia M, Morris, Andrew, Lind, Lars, Ingelsson, Erik, Anderson, Laura N, Pennell, Craig E, Lye, Stephen J, Binz, Tina M, Matthews, Stephen G, Eriksson, Joel, Mellstrom, Dan, Ohlsson, Claes, Price, Jackie F, Strachan, Mark Wj, Reynolds, Rebecca M, Ripke, Stephan, Mattheisen, Manuel, CORtisolNETwork, Abdellaoui, Abdel, Adams, Mark J, Agerbo, Esben, Air, Tracy M, Andlauer, Till Fm, Bacanu, Silviu-Alin, Bækvad-Hansen, Marie, Beekman, Aartjan Tf, Bennett, David A, Berger, Klaus, Consortium, Major Depressive Disorder Working Group of the Psychiatric Genomics, Bigdeli, Tim B, Bybjerg-Grauholm, Jonas, Byrne, Enda M, Cai, Na, Castelao, Enrique, Clarke, Toni-Kim, Coleman, Jonathan Ri, Consortium, Converge, Craddock, Nick, Dannlowski, Udo, Psychiatry, Amsterdam Neuroscience - Complex Trait Genetics, APH - Mental Health, Internal medicine, Amsterdam Reproduction & Development (AR&D), Human genetics, APH - Methodology, APH - Digital Health, Centre of Excellence in Complex Disease Genetics, Research Programme of Molecular Medicine, Research Programs Unit, Aarno Palotie / Principal Investigator, Institute for Molecular Medicine Finland, Genomics of Neurological and Neuropsychiatric Disorders, University of Zurich, Rietschel, Liz, Biological Psychology, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, APH - Health Behaviors & Chronic Diseases, and APH - Personalized Medicine
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Male ,Oncology ,Netherlands Twin Register (NTR) ,Multifactorial Inheritance ,Hydrocortisone ,lcsh:Medicine ,340 Law ,Genome-wide association study ,3124 Neurology and psychiatry ,0302 clinical medicine ,Twins, Dizygotic ,SOCIOECONOMIC-STATUS ,Young adult ,lcsh:Science ,Child ,610 Medicine & health ,Genetics ,Multidisciplinary ,Depression ,PSYCHIATRIC-DISORDERS ,10218 Institute of Legal Medicine ,Neuroticism ,DEPRESSIVE SYMPTOMS ,MORNING CORTISOL ,Female ,FUTURE-DIRECTIONS ,Adult ,medicine.medical_specialty ,Cortisol awakening response ,Adolescent ,PERCEIVED STRESS ,Biology ,Genetic correlation ,Article ,LONG-TERM CORTISOL ,03 medical and health sciences ,SDG 3 - Good Health and Well-being ,Internal medicine ,medicine ,Journal Article ,Humans ,neoplasms ,Behavioural genetics ,1000 Multidisciplinary ,Models, Genetic ,lcsh:R ,Twins, Monozygotic ,ADRENAL AXIS ACTIVITY ,MAJOR DEPRESSION ,Heritability ,Twin study ,R1 ,digestive system diseases ,030227 psychiatry ,ddc:000 ,INTRAINDIVIDUAL STABILITY ,lcsh:Q ,Stress, Psychological ,030217 neurology & neurosurgery ,Hair - Abstract
Hair cortisol concentration (HCC) is a promising measure of long-term hypothalamus-pituitary-adrenal (HPA) axis activity. Previous research has suggested an association between HCC and psychological variables, and initial studies of inter-individual variance in HCC have implicated genetic factors. However, whether HCC and psychological variables share genetic risk factors remains unclear. The aims of the present twin study were to: (i) assess the heritability of HCC; (ii) estimate the phenotypic and genetic correlation between HPA axis activity and the psychological variables perceived stress, depressive symptoms, and neuroticism; using formal genetic twin models and molecular genetic methods, i.e. polygenic risk scores (PRS). HCC was measured in 671 adolescents and young adults. These included 115 monozygotic and 183 dizygotic twin-pairs. For 432 subjects PRS scores for plasma cortisol, major depression, and neuroticism were calculated using data from large genome wide association studies. The twin model revealed a heritability for HCC of 72%. No significant phenotypic or genetic correlation was found between HCC and the three psychological variables of interest. PRS did not explain variance in HCC. The present data suggest that HCC is highly heritable. However, the data do not support a strong biological link between HCC and any of the investigated psychological variables. Consortia CORtisolNETwork (CORNET) Consortium Jennifer L. Bolton21 Caroline Hayward23 Nese Direk24,25 Anna Anderson21 Jennifer Huffman23 James F. Wilson26 Harry Campbell26 Igor Rudan26 Alan Wright23 Nicholas Hastie23 Sarah H. Wild26 Fleur P. Velders24 Albert Hofman24 Andre G. Uitterlinden24,27 Jari Lahti28 Katri Räikkönen28 Eero Kajantie29 Elisabeth Widen30 Aarno Palotie30,31 Johan G. Eriksson29,32,33,34,35 Marika Kaakinen36 Marjo-Riitta Järvelin36,37,38,39 Nicholas J. Timpson40 George Davey Smith40 Susan M. Ring41 David M. Evans40 Beate St Pourcain41 Toshiko Tanaka42 Yuri Milaneschi42,43 Stefania Bandinelli44 Luigi Ferrucci42 Pim van der Harst45,46,47 Judith GM Rosmalen48 Stephen JL Bakker49 Niek Verweij45 Robin PF Dullaart49 Anubha Mahajan50 Cecilia M. Lindgren50 Andrew Morris50 Lars Lind51 Erik Ingelsson51 Laura N. Anderson52 Craig E. Pennell53 Stephen J. Lye52 Stephen G. Matthews54 Joel Eriksson55 Dan Mellstrom55 Claes Ohlsson55 Jackie F. Price26 Mark WJ Strachan21 Rebecca M. Reynolds21 Henning Tiemeier24,56,57 Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium (PGC) Stephan Ripke58,59,60 Manuel Mattheisen61,62,63 Abdel Abdellaoui64 Mark J. Adams65 Esben Agerbo66,8,67 Tracy M. Air68 Till FM Andlauer69,70 Silviu-Alin Bacanu71 Marie Bækvad-Hansen67,72 Aartjan TF Beekman43 David A. Bennett73 Klaus Berger74 Tim B. Bigdeli71,11 Jonas Bybjerg-Grauholm67,72 Enda M. Byrne5 Na Cai75 Enrique Castelao76 Toni-Kim Clarke65 Jonathan RI Coleman77 Converge Consortium78 Nick Craddock79 Udo Dannlowski80,81 Gareth Davies82 Gail Davies83 Eco. J. C. de Geus64,84 Philip De Jager85 Ian J. Deary83 Franziska Degenhardt12,13 Erin C. Dunn86,87,88 Erik A. Ehli82 Thalia C. Eley77 Valentina Escott-Price89 Tõnu Esko58,90,91,92 Hilary K. Finucane93,94 Michael Gill95 Scott D. Gordon96 Jakob Grove61,62,67,97 Lynsey S. Hall65,98 Thomas F. Hansen99,100 Christine Søholm Hansen67,72 Thomas F. Hansen101 Andrew C. Heath102 Anjali K. Henders5 Stefan Herms12,13,15 Per Hoffmann12,13,15 Georg Homuth103 Carsten Horn104 Jouke- Jan Hottenga64 David Hougaard67,72 Hailiang Huang59,86,105 Marcus Ising106 Rick Jansen43 Eric Jorgenson107 Stefan Kloiber108,109 James A Knowles110 Warren W. Kretzschmar50 Jesper Krogh111 Zoltán Kutalik112,113 Maren Lang3 Glyn Lewis114 Yihan Li50 Donald J. MacIntyre115,116 Pamela AF Madden102 Jonathan Marchine117 Hamdi Mbarek118,64 Peter McGuffin77 Divya Mehta119 Andres Metspalu92,120 Christel M. Middeldorp64 Evelin Mihailov92,121 Lili Milani92 Grant W. Montgomery122 Sara Mostafavi123,124 Niamh Mullins77 Matthias Nauck125,126 Bernard Ng124 Merete Nordentoft67,127 Dale R. Nyholt128 Michael C. O’Donovan129 Paul F. O’Reilly77 Hogni Oskarsson130 Michael J. Owen129 Sara A. Paciga131 Carsten Bøcker Pedersen66,67,8 Marianne Giørtz Pedersen66,67,8 Nancy L. Pedersen132 Michele L. Pergadia133 Roseann E. Peterson11,71 Erik Pettersson134 Wouter J. Peyrot43 David J. Porteous135 Danielle Posthuma136,137 James B. Potash138 Jorge A. Quiroz139 John P. Rice102 Brien P. Riley71 Margarita Rivera77,140 Douglas M. Ruderfer141 Saira Saeed Mirza24 Robert Schoevers142 Ling Shen107 Jianxin Shi143 Engilbert Sigurdsson144 Grant CB Sinnamon145 Johannes H. Smit43 Daniel J. Smith146 Jordan W. Smoller86 Hreinn Stephansson147 Stacy Steinberg147 Jana Strohmaier3 Katherine E. Tansey148 Alexander Teumer149 Wesley Thompson100,135,150,151,152 Pippa A. Thomson135 Thorgeir E. Thorgeirsson147 Jens Treutlein3 Maciej Trzaskowski153 Daniel Umbricht154 Sandra van der Auwera155 Gerard van Grootheest43 Albert M. van Hemert156 Alexander Viktorin132 Henry Völzke149 Yunpeng Wang67,100,151 Bradley T. Webb157 Myrna M. Weissman158,159 Jürgen Wellmann74 Gonneke Willemsen64 Hualin S. Xi160 Bernhard T. Baune68 Douglas H. R. Blackwood65 Dorret I. Boomsma64 Anders D. Børglum61,62,67 Henriette N. Buttenschøn62,67,161 Sven Cichon12,162,163,164 Enrico Domenici165 Jonathan Flint50,166 Hans J. Grabe155 Steven P. Hamilton167 Kenneth S. Kendler71 Qingqin S. Li168 Susanne Lucae106 Patrik K. Magnusson132 Andrew M. McIntosh65,83 Ole Mors67,169 Preben Bo Mortensen62,8,67 Bertram Müller-Myhsok69,70,170 Brenda WJH Penninx43 Roy H. Perlis87,171 Martin Preisig76 Catherine Schaefer107 Jordan W. Smoller87,88 Kari Stephansson147 Henning Tiemeier24,56,57 Rudolf Uher172 Thomas Werge100,150,173 Ashley R. Winslow174,175 Gerome Breen77,176 Douglas F. Levinson177 Cathryn M. Lewis77,178 Naomi R. Wray5,153 Patrick F. Sullivan134,179,180 23MRC Human Genetics Unit, Institute for Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, EH4 2XU, UK. 24Department of Epidemiology, Erasmus Medical Centre, Rotterdam, Netherlands. 25Psychiatry, Dokuz Eylul University School Of Medicine, Izmir, TR, Turkey. 26Centre for Population Health Sciences, Institute for Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, EH8 9AG, UK. 27Internal Medicine, Erasmus MC, Rotterdam, NL, Netherlands. 28Institute of Behavioural Sciences, University of Helsinki, Helsinki, Finland. 29National Institute for Health and Welfare, Helsinki, Finland. 30Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland. 31Department of Medical Genetics, University of Helsinki and University Central Hospital, Helsinki, Finland. 32Department of General Practice and Primary Health Care, University of Helsinki, Helsinki, Finland. 33Helsinki University Central Hospital, Unit of General Practice, Helsinki, Finland. 34Folkhalsan Research Centre, Helsinki, Finland. 35Vasa Central Hospital, Vasa, Finland. 36Institute of Health Sciences and Biocenter Oulu, University of Oulu, Oulu, Finland. 37Department of Children and Yond People and Families, National Institute for Health and elfare, Oulu, Finland. 38Department of Epidemiology and Biostatistics, MRC-HPA Centre for Environment and Health, Imperial College London, London, UK. 39Unit of Primary Care, Oulu University Hospital, Oulu, Finland. 40MRC Centre for Causal Analyses in Translational Epidemiology, School of Social and Community Medicine, University of Bristol, Bristol, UK. 41School of Social and Community Medicine, University of Bristol, Bristol, UK. 42Longitudinal Studies Section, Clinical Research Branch, National Institute on Aging, Baltimore, MD, USA. 43Department of Psychiatry, VU University Medical Center/GGZ inGeest, Amsterdam, Netherlands. 44Geriatric Unit, ASF, Florence, Italy. 45University of Groningen, University Medical Center Groningen, Department of Cardiology, Groningen, Netherlands. 46University of Groningen, University Medical Center Groningen, Department of Genetics, Groningen, Netherlands. 47Durrer Center for Cardiogenetic Research, ICIN-Netherlands Heart Institute, Utrecht, Netherlands. 48University of Groningen, University Medical Center Groningen, Interdisciplinary Center for Psychiatric Epidemiology, Groningen, Netherlands. 49University of Groningen, University Medical Center Groningen, Department of Internal Medicine, Groningen, Netherlands. 50Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK. 51Department of Medical Sciences, Uppsala University, Uppsala, Sweden. 52Samuel Lunenfeld Research Institute, Mount Sinai Hospital, Toronto, Ontario, Canada. 53School of Women’s and Infant’s Health, The University of Western Australia, Crawley, Australia. 54Department of Physiology, University of Toronto, Toronto, Ontario, Canada. 55Center for Bone and Arthritis Research, Institute of Medicin, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden. 56Child and Adolescent Psychiatry, Erasmus MC, Rotterdam, Netherlands. 57Psychiatry, Erasmus MC, Rotterdam, Netherlands. 58Medical and Population Genetics, Broad Institute, Cambridge, USA. 59Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, USA. 60Department of Psychiatry and Psychotherapy, Universitätsmedizin Berlin Campus Charité Mitte, Berlin, Germany. 61Department of Biomedicine, Aarhus University, Aarhus, Denmark. 62iSEQ, Centre for Integrative Sequencing, Aarhus University, Aarhus, Denmark. 63iSPYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark. 64Dept of Biological Psychology, VU University Amsterdam, Amsterdam, Netherlands. 65Division of Psychiatry, University of Edinburgh, Edinburgh, UK. 66Centre for Integrated Register-based Research, Aarhus University, Aarhus, Denmark. 67iPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark. 68Discipline of Psychiatry, University of Adelaide, Adelaide, Australia. 69Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany. 70Munich Cluster for Systems Neurology (SyNergy), Munich, Germany. 71Department of Psychiatry, Virginia Commonwealth University, Richmond, USA. 72Center for Neonatal Screening, Department for Congenital Disorders, Statens Serum Institut, Copenhagen, Denmark. 73Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, USA. 74Institute of Epidemiology and Social Medicine, University of Muenster, Muenster, UK. 75Human Genetics, Wellcome Trust Sanger Institute, Cambridge, UK. 76Department of Psychiatry, University Hospital of Lausanne, Prilly, Switzerland. 77MRC Social Genetic and Developmental Psychiatry Centre, King’s College London, London, UK. 78University of Oxford, Oxford, UK. 79Psychological Medicine, Cardiff University, Cardiff, UK. 80Department of Psychiatry, University of Marburg, Marburg, Germany. 81Department of Psychiatry, University of Münster, Münster, Germany. 82Avera Institute for Human Genetics, Sioux Falls, USA. 83Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK. 84EMGO+ Institute, VU University Medical Center, Amsterdam, Netherlands. 85Neurology, Brigham and Women’s Hospital, Boston, USA. 86Stanley Center for Psychiatric Research, Broad Institute, Cambridge, USA. 87Department of Psychiatry, Massachusetts General Hospital, Boston, USA. 88Psychiatric and Neurodevelopmental Genetics Unit (PNGU), Massachusetts General Hospital, Boston, USA. 89Neuroscience and Mental Health Research Institute, Cardiff University, Cardiff, UK. 90Division of Endocrinology, Children’s Hospital Boston, Boston, USA. 91Department of Genetics, Harvard Medical School, Boston, USA. 92Estonian Genome Center, University of Tartu, Tartu, Estonia. 93Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, USA. 94Department of Mathematics, Massachusetts Institute of Technology, Cambridge, USA. 95Department of Psychiatry, Trinity College Dublin, Dublin, Ireland. 96Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Australia. 97Bioinformatics Research Centre (BiRC), Aarhus University, Aarhus, Denmark. 98Institute of Genetic Medicine, Newcastle University, Newcastle upon Tyne, UK. 99Danish Headache Centre, Department of Neurology, Rigshospitalet Glostrup, Glostrup, Denmark. 100Institute of Biological Psychiatry, Mental Health Center Sct. Hans, Mental Health Services Capital Region of Denmark, Roskilde, Denmark. 101iPSYCH, The Lundbeck Foundation Initiative for Psychiatric Research, Copenhagen, Denmark. 102Department of Psychiatry, Washington University in Saint Louis School of Medicine, Saint Louis, USA. 103Interfaculty Institute for Genetics and Functional Genomics, Department of Functional Genomics, University Medicine and Ernst Moritz Arndt University Greifswald, Greifswald, Germany. 104Roche Pharmaceutical Research and Early Development, Pharmaceutical Sciences, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd, Basel, Switzerland. 105Department of Medicine, Harvard Medical School, Boston, USA. 106Max Planck Institute of Psychiatry, Munich, Germany. 107Division of Research, Kaiser Permanente Northern California, Oakland, USA. 108Centre for Addiction and Mental Health, Toronto, Canada. 109Department of Psychiatry, University of Toronto, Toronto, Canada. 110Psychiatry & The Behavioral Sciences, University of Southern California, Los Angeles, USA. 111Department of Endocrinology at Herlev University Hospital, University of Copenhagen, Copenhagen, Denmark. 112Swiss Institute of Bioinformatics, Lausanne, Switzerland. 113Institute of Social and Preventive Medicine (IUMSP), Lausanne University Hospital, Lausanne, Switzerland. 114Division of Psychiatry, University College London, London, UK. 115Mental Health NHS 24, Glasgow, UK. 116Division of Psychiatry, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK. 117Statistics, University of Oxford, Oxford, UK. 118EMGO+ Institute for Health and Care Research, Amsterdam, Netherlands. 119School of Psychology and Counseling, Queensland University of Technology, Brisbane, Australia. 120Institute of Molecular and Cell Biology, University of Tartu, Tartu, Estonia. 121Estonian Biocentre, Tartu, Estonia. 122Institute for Molecular Biology, University of Queensland, Brisbane, Australia. 123Medical Genetics, University of British Columbia, Vancouver, Canada. 124Statistics, University of British Columbia, Vancouver, Canada. 125DZHK (German Centre for Cardiovascular Research), Partner Site Greifswald, University Medicine, Matthias Nauck, Greifswald, Germany. 126Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany. 127Mental Health Centre Copenhagen, Copenhagen Universtity Hospital, Copenhagen, Denmark. 128Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Australia. 129MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK. 130Humus, Reykjavik, Iceland. 131Human Genetics and Computational Biomedicine, Pfizer Global Research and Development, Groton, USA. 132Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden. 133Charles E. Schmidt College of Medicine, Florida Atlantic University, Boca Raton, USA. 134Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden. 135Medical Genetics Section, CGEM, IGMM, University of Edinburgh, Edinburgh, UK. 136Complex Trait Genetics, VU University Amsterdam, Amsterdam, Netherlands. 137Clinical Genetics, VU University Medical Center, Amsterdam, Netherlands. 138Psychiatry, University of Iowa, Iowa City, USA. 139Solid GT, Boston, USA. 140Department of Biochemistry and Molecular Biology II, Institute of Neurosciences, Center for Biomedical Research, University of Granada, Granada, Spain. 141Psychiatry, Icahn School of Medicine at Mount Sinai, New York, USA. 142Department of Psychiatry, University of Groningen, University Medical Center Groningen, Groningen, Netherlands. 143Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, USA. 144Faculty of Medicine, Department of Psychiatry, School of Health Sciences, University of Iceland, Reykjavik, Iceland. 145School of Medicine and Dentistry, James Cook University, Townsville, Australia. 146Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK. 147deCODE Genetics/Amgen, Reykjavik, Iceland. 148College of Biomedical and Life Sciences, Cardiff University, Cardiff, UK. 149Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany. 150iPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Copenhagen, Denmark. 151KG Jebsen Centre for Psychosis Research, Norway Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway. 152Department of Psychiatry, University of California, San Diego, San Diego, USA. 153Institute for Molecular Bioscience, The University of Queensland, Brisbane, Australia. 154Roche Pharmaceutical Research and Early Development, Neuroscience, Ophthalmology and Rare Diseases Discovery & Translational Medicine Area, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd, Basel, Switzerland. 155Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany. 156Department of Psychiatry, Leiden University Medical Center, Leiden, Netherlands. 157Virginia Institute of Psychiatric & Behavioral Genetics, Virginia Commonwealth University, Richmond, USA. 158Psychiatry, Columbia University College of Physicians and Surgeons, New York, USA. 159Division of Epidemiology, New York State Psychiatric Institute, New York, USA. 160Computational Sciences Center of Emphasis, Pfizer Global Research and Development, Cambridge, USA. 161Department of Clinical Medicine, Translational Neuropsychiatry Unit, Aarhus University, Aarhus, Denmark. 162Institute of Neuroscience and Medicine (INM-1), Research Center Juelich, Juelich, Germany. 163Department of Biomedicine, University of Basel, Basel, CH, Switzerland. 164Division of Medical Genetics, University of Basel, Basel, CH, Switzerland. 165Centre for Integrative Biology, Università degli Studi di Trento, Trento, Italy. 166Psychiatry, University of California Los Angeles, Los Angeles, USA. 167Psychiatry, Kaiser Permanente Northern California, San Francisco, USA. 168Neuroscience Therapeutic Area, Janssen Research and Development, LLC, Titusville, USA. 169Psychosis Research Unit, Aarhus University Hospital, Risskov, Aarhus, Denmark. 170Institute of Translational Medicine, University of Liverpool, Liverpool, UK. 171Psychiatry, Harvard Medical School, Boston, USA. 172Psychiatry, Dalhousie University, Halifax, Canada. 173Institute of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark. 174Human Genetics and Computational Biomedicine, Pfizer Global Research and Development, Cambridge, USA. 175Orphan Disease Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, USA. 176NIHR BRC for Mental Health, King’s College London, London, UK. 177Psychiatry & Behavioral Sciences, Stanford University, Stanford, USA. 178Department of Medical & Molecular Genetics, King’s College London, London, UK. 179Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, USA. 180Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, USA.
- Published
- 2017
44. A protocol for a systematic review and meta-analysis to identify measures of breakthrough pain and evaluate their psychometric properties.
- Author
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Greenfield, Katie, Holley, Simone, Schoth, Daniel Eric, Bayliss, Julie, Anderson, Anna-Karenia, Jassal, Satbir, Rajapakse, Dilini, Fraser, Lorna Katharine, Mott, Christine, Johnson, Margaret, Wong, Ian, Howard, Richard, Harrop, Emily, and Liossi, Christina
- Abstract
Introduction Breakthrough pain is common in children and adults with cancer and other conditions, including those approaching end-of- life, although it is often poorly managed, possibly partly due to a lack of validated assessment tools. This review aims to (1) identify all available instruments measuring breakthrough pain in infants, children, adolescents or adults and (2) critically appraise, compare and summarise the quality of the psychometric properties of the identified instruments using COnsensus-based Standards for the selection of health Measurement INstruments (COSMIN) criteria. Methods and analysis Two searches will be carried out between October 2019 and January 2020, one for each aim of the review. The Cochrane Library, International Prospective Register of Systematic Reviews, Embase, Cumulative Index of Nursing and Allied Health Literature, Medical Literature Analysis and Retrieval System Online (MEDLINE), PsycINFO, Web of Science Core Collection, Google Scholar, the ProQuest Dissertations & Theses Database, Evidence Search and OpenGrey databases will be searched from database inception until the date the search is conducted. Reference lists of eligible articles will be screened and authors in the field contacted. For search 1, articles will be screened by two reviewers by abstract, and full-text where necessary, to identify if a breakthrough pain assessment was used. Search 2 will then be conducted to identify studies evaluating measurement properties of these assessments. Two reviewers will screen articles from search 2 by title and abstract. All potentially relevant studies will be screened by full text by both reviewers. For search 2, data will be extracted in parallel with the quality assessment process, as recommended by COSMIN. Two reviewers will assess methodological quality using the COSMIN Risk of Bias checklist and the COSMIN updated criteria for good measurement properties. Findings will be summarised and, if possible, data will be pooled using meta-analysis. The quality of the evidence will be graded and summarised using the Grading of Recommendations, Assessment, Development and Evaluations (GRADE) guidelines. Ethics and dissemination Results of this review will be submitted for publication in a peer review journal and presented at conferences. [ABSTRACT FROM AUTHOR]
- Published
- 2020
- Full Text
- View/download PDF
45. The Mushrooms.
- Author
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ANDERSON, ANNA
- Subjects
MUSHROOMS ,MORELS - Published
- 2021
46. Metformin increases cortisol regeneration by 11βHSD1 in obese men with and without type 2 diabetes mellitus
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Anderson, Anna J, Andrew, Ruth, Homer, Natalie Z, Jones, Gregory C, Smith, Kenneth, Livingstone, Dawn E, Walker, Brian R, and Stimson, Roland H
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endocrine system diseases ,nutritional and metabolic diseases ,cortisol, metformin, tracer methodology, liver, adipose tissue - Abstract
CONTEXT: The mechanism of action of metformin remains unclear. Given regulation of the cortisol-regenerating enzyme 11βHSD1 by insulin, and limited efficacy of selective 11βHSD1 inhibitors to lower blood glucose when co-prescribed with metformin, we hypothesized that metformin reduces 11βHSD1 activity.OBJECTIVE: To determine whether metformin regulates 11βHSD1 activity in vivo in obese men with and without type 2 diabetes.DESIGN: Double blind randomised placebo controlled crossover study Setting: A hospital clinical research facility Participants: Eight obese non-diabeticmen (OND) and eight obesemenwith type 2 diabetes (ODM) Intervention: Participants received 28 days of metformin (1g twice daily), placebo, or (in the ODM group) gliclazide (80mg twice daily) in random order. A deuterated cortisol infusion at the end of each phase measured cortisol regeneration by 11βHSD1. Oral cortisone was given to measure hepatic 11βHSD1 activity in the ODM group. The effect of metformin on 11βHSD1 was also assessed in human hepatocytes and SGBS adipocytes.MAIN OUTCOME MEASURES: The effect of metformin on whole body and hepatic 11βHSD1 activity.RESULTS: Whole body 11βHSD1 activity was ~25% higher in the ODM than OND group. Metformin increased whole body cortisol regeneration by 11βHSD1 in both groups compared with placebo and gliclazide, and tended to increase hepatic 11βHSD1 activity. In vitro, metformin did not increase 11βHSD1 activity in hepatocytes or adipocytes.CONCLUSIONS: Metformin increases whole body cortisol generation by 11βHSD1 probably through an indirect mechanism, potentially offsetting other metabolic benefits of metformin. Co-prescription with metformin should provide a greater target for selective 11βHSD1 inhibitors.
- Published
- 2016
47. COMMITTEE REPORTS
- Author
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Meyer, H. H. B., Brigham, Harold F., Richardson, Ernest C., Ommen, Alfred E., Barmby, Mary, French, Randall, Rogers, Violet J., Balz, Leonard, Archer, John, Cannon, Carl L., Butler, Pierce, Granniss, Ruth S., Kyte, E. Cockburn, Overton, Jacqueline M., van Patten, Nathan, Stevens, Edward F., Gjelsness, Rudolph, Spaulding, Forrest B., Kaiser, John B., Rathbone, Josephine Adams, Hamilton, William J., Joeckel, Carleton B., Rothrock, Mary U., Sumner, Clarence W., Severance, Henry O., Herbert, Clara W., Merrill, Julia Wright, Britton, Jasmine, Brigham, Johnson, Cullen, Elizabeth O., Lester, Clarence B., Long, Harriet C., Morgan, Joy E., Price, Miles O., Redstone, Edward H., Tolman, Frank L., Munn, Ralph, Shearer, Augustus H., Pomeroy, Elizabeth, Caldwell, Gladys, Gerould, James Thayer, Lydenberg, H. M., Lucas, E. Louise, Jones, E. Kathleen, Corbin, William L., Doane, Gilbert H., James, Helen C., Smith, Charles Henry, Graves, C. Edward, Webb, William, Vance, John T., Smith, Susan T., Dickerson, L. L., Butlin, Iva M., Gerould, James T., Mulheron, Anne M., Rush, Charles E., Wellman, Hiller C., Ranck, Samuel H., Anderson, Anna M., Andrews, Siri M., Davis, Mary Gould, Grout, Dorothy K., Latimer, Louise P., Martin, Helen, Overman, Ruth A., Smith, Lillian H., McGregor, Della, Barnett, Claribel R., Sawyer, R. A., Askew, Sarah B., Marzolf, Marie Cecilia, Henderson, Glieth, Henshaw, Francis, Morgan, Lucy L., Waples, Douglas, Williamson, Charles C., Wheeler, Joseph L., Andrus, Gertrude E., Bement, Constance, Sanderson, Charles R., Truf, Mary A., Roberts, Flora B., Henry, Edward A., Bailey, Louis J., Booth, Mary J., Evans, Lillian M., Flexner, Jennie M., Hopper, Franklin F., Howard, James A., Hunt, M. Louise, Hyde,, Dorsey W., Manchester, Earl N., Perry, Leta, Robinson, E. S., Compton, C. H., Bowerman, George F., Williamson, C. C., Wigginton, May Wood, Austen, Willard, Bostwick, Arthur E., Lydenberg, Harry M., Hooker, David Ashley, Carson, Annie E., and Phillips, Edna
- Published
- 1931
48. Rapid assessment of agents of biological terrorism: defining the differential diagnosis of inhalational anthrax using electronic communication in a practice-based research network
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Temte, Jonathan L. and Anderson, Anna Lisa
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Telecommunication -- Surveys ,Anthrax -- Diagnosis ,Bioterrorism -- Risk factors ,Physicians (General practice) -- Practice ,Communications technology ,Health ,Science and technology - Published
- 2004
49. The landscape of child protection research in the UK:A UK mapping review
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Taylor, Julie, Mackay, Kirsteen, Jones, Christine, Soliman, Francesca, Clayton, Estelle, Anderson, Anna, Gadda, Andressa, and Jones, Derek
- Abstract
This study, undertaken for the NSPCC, is the first comprehensive systematic search and review of research undertaken in all four nations of the United Kingdom on the subject of child protection. It covers the five year timespan January, 2010 through December, 2014 to produce a mapping review on the landscape of child protection.The research questions were:1) How can child protection research be classified?2) What child protection research has been published between January, 2010 and December, 2014?a. What proportion of the published research was undertaken within academia?b. Who undertakes child protection research in the UK?c. In which disciplines was the research undertaken?d. On what aspects of child protection has the research focused?e. What research designs have been used?f. What types of data have been used?g. Whose perspectives have been included?3) Who funded the research and how much money has been allocated to the research?
- Published
- 2015
50. The effect of using a cycling workstation on mouse dexterity.
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Anderson, Anna, Thornton, Oliver, Coats, Rachel, Capozio, Antonio, and Astill, Sarah
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- *
STANDARD deviations , *MICE - Abstract
This study investigated the effect of using a cycling workstation on mouse dexterity, including if and how this changed with practice. Thirty-four healthy adults were allocated to a sitting group (n = 17) or cycling group (n = 17). All participants completed standardised computer tasks on 6 occasions: baseline and final—all participants were seated; practice 1 to 4—sitting group participants were seated, cycling group participants pedalled on an under desk cycle. Three computer tasks were employed: (1) Tracking (continuous task)—participants used the mouse pointer to track a dot in a figure of 8 pattern at 3 different speeds without a guide then with a guide (2) Aiming (discrete task)—participants moved the mouse pointer to a dot which repeatedly disappeared then reappeared again in different locations, creating the outline of a pentagram (3) Steering (continuous task)—participants steered the mouse pointer around two different pathways. Accuracy was measured during the Tracking and Steering tasks as the root mean square error and penalised path accuracy respectively. Speed was measured during the Aiming task as the movement time. Data was analysed using frequentist and Bayes Factor analyses. During the continuous tasks (Tracking and Steering), accuracy was impaired among participants using the cycling workstation, both compared to their accuracy when seated and to the accuracy of participants in the sitting group. In contrast, no deficits in speed were noted among participants using the cycling work station during the discrete task (Aiming). No learning effects were observed among either group for any tasks. These findings suggest using a cycling workstation may impair the accuracy but not speed of mouse use, regardless of task practice. Overall this supports the implementation of cycling workstations in typical office settings, but suggests cycling workstations may impair productivity among workers performing high precision mouse tasks. [ABSTRACT FROM AUTHOR]
- Published
- 2019
- Full Text
- View/download PDF
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