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Edited by
Mary S. Morgan, London School of Economics and Political Science,Kim M. Hajek, London School of Economics and Political Science,Dominic J. Berry, London School of Economics and Political Science
Edited by
Mary S. Morgan, London School of Economics and Political Science,Kim M. Hajek, London School of Economics and Political Science,Dominic J. Berry, London School of Economics and Political Science
Edited by
Mary S. Morgan, London School of Economics and Political Science,Kim M. Hajek, London School of Economics and Political Science,Dominic J. Berry, London School of Economics and Political Science
Edited by
Mary S. Morgan, London School of Economics and Political Science,Kim M. Hajek, London School of Economics and Political Science,Dominic J. Berry, London School of Economics and Political Science
Edited by
Mary S. Morgan, London School of Economics and Political Science,Kim M. Hajek, London School of Economics and Political Science,Dominic J. Berry, London School of Economics and Political Science
Edited by
Mary S. Morgan, London School of Economics and Political Science,Kim M. Hajek, London School of Economics and Political Science,Dominic J. Berry, London School of Economics and Political Science
Edited by
Mary S. Morgan, London School of Economics and Political Science,Kim M. Hajek, London School of Economics and Political Science,Dominic J. Berry, London School of Economics and Political Science
Edited by
Mary S. Morgan, London School of Economics and Political Science,Kim M. Hajek, London School of Economics and Political Science,Dominic J. Berry, London School of Economics and Political Science
Edited by
Mary S. Morgan, London School of Economics and Political Science,Kim M. Hajek, London School of Economics and Political Science,Dominic J. Berry, London School of Economics and Political Science
Edited by
Mary S. Morgan, London School of Economics and Political Science,Kim M. Hajek, London School of Economics and Political Science,Dominic J. Berry, London School of Economics and Political Science
Edited by
Mary S. Morgan, London School of Economics and Political Science,Kim M. Hajek, London School of Economics and Political Science,Dominic J. Berry, London School of Economics and Political Science
Edited by
Mary S. Morgan, London School of Economics and Political Science,Kim M. Hajek, London School of Economics and Political Science,Dominic J. Berry, London School of Economics and Political Science
Edited by
Mary S. Morgan, London School of Economics and Political Science,Kim M. Hajek, London School of Economics and Political Science,Dominic J. Berry, London School of Economics and Political Science
Edited by
Mary S. Morgan, London School of Economics and Political Science,Kim M. Hajek, London School of Economics and Political Science,Dominic J. Berry, London School of Economics and Political Science
Narrative Science examines the use of narrative in scientific research over the last two centuries. It brings together an international group of scholars who have engaged in intense collaboration to find and develop crucial cases of narrative in science. Motivated and coordinated by the Narrative Science project, funded by the European Research Council, this volume offers integrated and insightful essays examining cases that run the gamut from geology to psychology, chemistry, physics, botany, mathematics, epidemiology, and biological engineering. Taking in shipwrecks, human evolution, military intelligence, and mass extinctions, this landmark study revises our understanding of what science is, and the roles of narrative in scientists' work. This title is also available as Open Access.
Cognitive–behavioural therapy (CBT) is recommended for all patients with psychosis, but is offered to only a minority. This is attributable, in part, to the resource-intensive nature of CBT for psychosis. Responses have included the development of CBT for psychosis in brief and targeted formats, and its delivery by briefly trained therapists. This study explored a combination of these responses by investigating a brief, CBT-informed intervention targeted at distressing voices (the GiVE intervention) administered by a briefly trained workforce of assistant psychologists.
Aims
To explore the feasibility of conducting a randomised controlled trial to evaluate the clinical and cost-effectiveness of the GiVE intervention when delivered by assistant psychologists to patients with psychosis.
Method
This was a three-arm, feasibility, randomised controlled trial comparing the GiVE intervention, a supportive counselling intervention and treatment as usual, recruiting across two sites, with 1:1:1 allocation and blind post-treatment and follow-up assessments.
Results
Feasibility outcomes were favourable with regard to the recruitment and retention of participants and the adherence of assistant psychologists to therapy and supervision protocols. For the candidate primary outcomes, estimated effects were in favour of GiVE compared with supportive counselling and treatment as usual at post-treatment. At follow-up, estimated effects were in favour of supportive counselling compared with GiVE and treatment as usual, and GiVE compared with treatment as usual.
Conclusions
A definitive trial of the GiVE intervention, delivered by assistant psychologists, is feasible. Adaptations to the GiVE intervention and the design of any future trials may be necessary.
Medical care is predicated on ‘do no harm’, yet the urgency to find drugs and vaccines to treat or prevent COVID-19 has led to an extraordinary effort to develop and test new therapies. Whilst this is an essential cornerstone of a united global response to the COVID-19 pandemic, the absolute requirements for meticulous efficacy and safety data remain. This is especially pertinent to the needs of pregnant women; a group traditionally poorly represented in drug trials, yet a group at heightened risk of unintended adverse materno-fetal consequences due to the unique physiology of pregnancy and the life course implications of fetal or neonatal drug exposure. However, due to the complexities of drug trial participation when pregnant (be they vaccines or therapeutics for acute disease), many clinical drug trials will exclude them. Clinicians must determine the best course of drug treatment with a dearth of evidence from either clinical or preclinical studies, where at least in the short term they may be more focused on the outcome of the mother than of her offspring.
Emerging evidence suggests that parents’ nutritional status before and at the time of conception influences the lifelong physical and mental health of their child. Yet little is known about the relationship between diet in adolescence and the health of the next generation at birth. This study examined data from Norwegian cohorts to assess the relationship between dietary patterns in adolescence and neonatal outcomes. Data from adolescents who participated in the Nord-Trøndelag Health Study (Young-HUNT) were merged with birth data for their offspring through the Medical Birth Registry of Norway. Young-HUNT1 collected data from 8980 adolescents between 1995 and 1997. Linear regression was used to assess associations between adolescents’ diet and later neonatal outcomes of their offspring adjusting for sociodemographic factors. Analyses were replicated with data from the Young-HUNT3 cohort (dietary data collected from 2006 to 2008) and combined with Young-HUNT1 for pooled analyses. In Young-HUNT1, there was evidence of associations between dietary choices, meal patterns, and neonatal outcomes, these were similar in the pooled analyses but were attenuated to the point of nonsignificance in the smaller Young-HUNT3 cohort. Overall, energy-dense food products were associated with a small detrimental impact on some neonatal outcomes, whereas healthier food choices appeared protective. Our study suggests that there are causal links between consumption of healthy and unhealthy food and meal patterns in adolescence with neonatal outcomes for offspring some years later. The effects seen are small and will require even larger studies with more state-of-the-art dietary assessment to estimate these robustly.
Extensive research has affirmed the potential of gender quotas to advance women's political inclusion. When Kenya's gender quota took effect after a new constitution was promulgated in 2010, women were elected to the highest number of seats in the country's history. In this article, we investigate how the process of implementing the quota has shaped Kenyan women's power more broadly. Drawing on more than 80 interviews and 24 focus groups with 140 participants, we affirm and refine the literature on quotas by making two conceptual contributions: (1) quota design can inadvertently create new inequalities among women in government, and (2) women's entry into previously male-dominated spaces can be met with patriarchal backlash, amplifying gender oppression. Using the ongoing process of quota implementation in Kenya as a case to theoretically question inclusionary efforts to empower women more generally, our analysis highlights the challenges for implementing women's rights laws and policies and the need for women's rights activists to prioritize a parallel bottom-up process of transforming gendered power relations alongside top-down institutional efforts.
Over 80% of CTSA programs have a community advisory board (CAB). Little is known about how research discussed with CABs aligns with community priorities (bidirectionality). This program evaluation assessed researcher presentations from 2014 to 2018 to the CABs linked to our CTSA at all three sites (Minnesota, Arizona, and Florida) for relevance to local community needs identified in 2013 and/or 2016. From content analysis, of 65 presentations total, 41 (63%) addressed ≥1 local health needs (47% Minnesota, 60% Florida, and 80% Arizona). Cross-cutting topics were cancer/cancer prevention (physical activity/obesity/nutrition) and mental health. Results could help to prioritize health outcomes of community-engaged research efforts.