Cognitive Trajectories in Comorbid Dementia With Schizophrenia or Bipolar Disorder: The South London and Maudsley NHS Foundation Trust Biomedical Research Centre (SLaM BRC) Case Register

Background with rationaleEvery year all 32 local authorities in Scotland provide information on looked after children in their area to the Scottish Government. This forms the basis for the annual Children Looked After Statistics (CLAS). Information is also collected by Scottish Children’s Reporter Administration (SCRA) on all children who are involved in the Children’s Hearings System. Until now these two data sets had never been linked. Main Aim To test the feasibility and success of the linkage on the basis that these datasets had not previously been linked, and if linkage was possible, use this data to enhance our understanding of the child and process factors associated with pathways to permanence or lack of permanence. Methods/ApproachVeterans were identified using the South London and Maudsley Biomedical Research Centre (SLaM) case register – a database holding secondary mental health care electronic records for the South London and Maudsley National Health Service Trust of 300,000 patients. We developed two methods. An NLP and machine learning tool were developed to automatically evaluate personal history statements written by clinicians. ResultsFor the first time, as part of the Permanently Progressing? Building secure futures for children in Scotland study, these two data sets were linked safely and successfully for 1,000 children who became looked after in 2012-13 when they were aged five and under. The linkage provided important new information for practitioners and policymakers. In this presentation we will focus on the key findings, such as what it told us about previous referrals and methodological insights regarding these data sets and their linkage. ConclusionThe data linkage process was complex and time-consuming but possible. The data we were able to link provided valuable information that enhanced our understanding of child and process factors.

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Childhood cognitive ability and the use of long-term care in later life

International Journal for Population Data Science ◽

10.23889/ijpds.v4i3.1181 ◽

2019 ◽

Vol 4 (3) ◽

Author(s):

Matthew Iveson ◽

Drew Altschul ◽

Ian Deary

Keyword(s):

Cognitive Ability ◽

Early Life ◽

Long Term Care ◽

Later Life ◽

Research Centre ◽

The South ◽

Term Care ◽

Case Register ◽

Life Circumstances

Background As the population ages the demand for care is predicted to increase. Previous studies have reported that individuals with poorer post-morbid cognitive ability are at higher risk of entering long-term care, both institutionalised care and home-based care. Given that post-morbid cognitive ability is sensitive to the type and severity of morbidity, it remains unclear whether higher cognitive ability, as a trait-level measure of individual differences, contributes to care usage. Some success has been observed using non-cognitive early-life circumstances such as socioeconomic circumstances as pre-morbid predictors of care risk. However, the contribution of early-life cognitive ability has yet to be examined. Main Aim We investigate the association between early-life circumstances, particularly cognitive ability, and the risk of entry into long-term care in later life (age 65+). Methods Veterans were identified using the South London and Maudsley Biomedical Research Centre (SLaM) case register – a database holding secondary mental health care electronic records for the South London and Maudsley National Health Service Trust of 300,000 patients. We developed two methods. An NLP and machine learning tool were developed to automatically evaluate personal history statements written by clinicians. Results This study uses a large sample of individuals born in Scotland in 1936 and who took part in the Scottish Mental Survey 1947. It links research data from childhood to routinely-collected administrative and healthcare records from across the life course. Conclusion We demonstrate the importance of early-life factors for predicting care usage in later life and how this role differs between types of long-term care. The implications of the results for research and policy will be discussed.

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Bipolar Disorder and Comorbidity With Drug Use in Hospitalized Patients From a Mental Health Unit From the South of Spain

10.26226/morressier.5a7070e5ab9a5f002a4c695a ◽

2018 ◽

Author(s):

Olalla Santamaria

Keyword(s):

Mental Health ◽

Bipolar Disorder ◽

Drug Use ◽

Hospitalized Patients ◽

Health Unit ◽

The South ◽

Mental Health Unit

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Lab profile: The Biomedical Research Centre, University of East Anglia

10.36866/pn.88.46 ◽

2012 ◽

pp. 46-46

Author(s):

Louise Cully

Keyword(s):

Biomedical Research ◽

Research Centre ◽

East Anglia

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Indicators of the water regime of some varieties of chrysanthemums in the conditions of the South Ural

Samara Journal of Science ◽

10.17816/snv2021101108 ◽

2021 ◽

Vol 10 (1) ◽

pp. 57-64

Author(s):

Svetlana Galimullovna Denisova ◽

Antonina Anatolyevna Reut

Keyword(s):

Water Content ◽

Water Deficit ◽

Water Regime ◽

Water Holding Capacity ◽

Research Centre ◽

Total Water Content ◽

Total Water ◽

The South ◽

Irreversible Damage ◽

Water Holding

In introduction studies, it is of great importance to determine how favorable the water balance of the studied species is under given environmental conditions. The aim of the research was to study the water regime of some varieties of chrysanthemums in the conditions of the Southern Ural. The study was conducted in 20182020 on the basis of the South-Ural Botanical Garden-Institute of the Ufa Federal Research Centre of Russian Academy of Sciences. The objects of the study were 23 varieties of Chrysanthemum hortorum Bailey. In the course of the research, the total water content, water-holding capacity, the content of mobile moisture, water deficit, and sublethal water deficit were determined. The analysis of water regime indicators is based on the method of artificial wilting (V.N. Tarenkov, L.N. Ivanova) and the method of saturation of plant samples (V.P. Moiseev, N.P. Reshetsky). Sublethal water deficit was determined by the method of T.K. Goryshina, L.I. Samsonova, modified by N.I. Bobrovskaya. The calculations were carried out by standard methods using statistical packages of the Microsoft Excel 2003 and the Agros 2.13 program. The studies made it possible to determine the value of the sublethal water deficit (28,4%) for the varieties of chrysanthemums in the conditions of the Bashkir Ural. It was found that the studied varieties during the growing season did not experience such a moisture deficit in the tissues that could lead to irreversible damage to the assimilating organs. Our experiments showed that chrysanthemum varieties in the Bashkir Cis-Ural under the same soil-climatic and agrotechnical conditions had the following range of indicators of total water content 70,090,4% and water-holding capacity 19,0064,6%. The analysis of variance revealed significant differences between water-holding capacity and the content of mobile moisture by varieties, the share of influence was 27,8531,71%. As a result of the correlation-regression analysis, the authors revealed a direct dependence of the indicators of mobile moisture content on the total water content, and an inverse one on the indicators of the content of mobile moisture and water-holding capacity.

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A retrospective analysis of gender parity in scientific authorship in a biomedical research centre

10.1101/2020.02.24.962175 ◽

2020 ◽

Author(s):

Rinita Dam ◽

Syed Ghulam Sarwar Shah ◽

Maria Julia Milano ◽

Laurel D Edmunds ◽

Lorna R Henderson ◽

...

Keyword(s):

Gender Equity ◽

Biomedical Research ◽

Basic Research ◽

Relevant Information ◽

Research Centre ◽

List Type ◽

Gender Parity ◽

Female Authors ◽

Scientific Authorship ◽

Joint Authorship

ABSTRACTObjectiveScientific authorship is a vital marker of success in academic careers and gender equity is a key performance metric in research. However, there is little understanding of gender equity in publications in biomedical research centres funded by the National Institute for Health Research (NIHR). This study assesses the gender parity in scientific authorship of biomedical research.DesignA retrospective descriptive study.SettingNIHR Oxford Biomedical Research Centre.Data2409 publications accepted or published from 1 April 2012 to 31 March 2017.Main outcome measuresGender of authors, defined as a binary variable comprising either male or female categories, in six authorship categories: first author, joint first authors, first corresponding author, joint corresponding authors, last author and joint last authors.ResultsPublications comprised clinical research (39%, n=939), basic research (27%, n=643), and other types of research (34%, n=827). The proportion of female authors as first author (41%), first corresponding authors (34%) and last author (23%) was statistically significantly lower than male authors in these authorship categories. Of total joint first authors (n=458), joint corresponding authors (n=169), and joint last authors (n=229), female only authors comprised statistically significant smaller proportions i.e. 15% (n=69), 29% (n=49) and 10% (n=23) respectively, compared to male only authors in these joint authorship categories. There was a statistically significant association between gender of the last author(s) with gender of the first author(s) (χ 2 33.742, P < 0.001), corresponding author(s) (χ2 540.774, P < 0.001) and joint last author(s) (χ 2 91.291, P < 0.001).ConclusionsAlthough there are increasing trends of female authors as first authors (41%) and last authors (23%), female authors are underrepresented compared to male authors in all six categories of scientific authorship in biomedical research. Further research is needed to encourage gender parity in different categories of scientific authorship.Strengths and limitations of this studyThis is the first study to investigate gender parity in six categories of scientific authorship: first authors, first corresponding authors, last authors and three joint authorship categories i.e. joint first authors, joint corresponding authors and joint last authors in biomedical research.This study provides an important benchmark on gender equity in scientific authorship for other NIHR funded centres and organisations in England.The generalisability of the findings of this study may be limited due to differences in medical specialities, research areas, institutional cultures, and levels of support to individual researchers.Using secondary sources for determining the gender of authors may have limitations, which could be avoided by seeking relevant information from original authors and institution affiliation at the time of submission.

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