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Background Population mental health in the United Kingdom (UK) has deteriorated, alongside worsening socioeconomic conditions, over the last decade. Policies such as Universal Basic Income (UBI) have been suggested as an alternative economic approach to improve population mental health and reduce health inequalities. UBI may improve mental health (MH), but to our knowledge, no studies have trialled or modelled UBI in whole populations. We aimed to estimate the short-term effects of introducing UBI on mental health in the UK working-age population. Methods and findings Adults aged 25 to 64 years were simulated across a 4-year period from 2022 to 2026 with the SimPaths microsimulation model, which models the effects of UK tax/benefit policies on mental health via income, poverty, and employment transitions. Data from the nationally representative UK Household Longitudinal Study were used to generate the simulated population (n = 25,000) and causal effect estimates. Three counterfactual UBI scenarios were modelled from 2023: 'Partial' (value equivalent to existing benefits), 'Full' (equivalent to the UK Minimum Income Standard), and 'Full+' (retaining means-tested benefits for disability, housing, and childcare). Likely common mental disorder (CMD) was measured using the General Health Questionnaire (GHQ-12, score [greater than or equal to]4). Relative and slope indices of inequality were calculated, and outcomes stratified by gender, age, education, and household structure. Simulations were run 1,000 times to generate 95% uncertainty intervals (UIs). Sensitivity analyses relaxed SimPaths assumptions about reduced employment resulting from Full/Full+ UBI. Partial UBI had little impact on poverty, employment, or mental health. Full UBI scenarios practically eradicated poverty but decreased employment (for Full+ from 78.9% [95% UI 77.9, 79.9] to 74.1% [95% UI 72.6, 75.4]). Full+ UBI increased absolute CMD prevalence by 0.38% (percentage points; 95% UI 0.13, 0.69) in 2023, equivalent to 157,951 additional CMD cases (95% UI 54,036, 286,805); effects were largest for men (0.63% [95% UI 0.31, 1.01]) and those with children (0.64% [95% UI 0.18, 1.14]). In our sensitivity analysis assuming minimal UBI-related employment impacts, CMD prevalence instead fell by 0.27% (95% UI -0.49, -0.05), a reduction of 112,228 cases (95% UI 20,783, 203,673); effects were largest for women (-0.32% [95% UI -0.65, 0.00]), those without children (-0.40% [95% UI -0.68, -0.15]), and those with least education (-0.42% [95% UI -0.97, 0.15]). There was no effect on educational mental health inequalities in any scenario, and effects waned by 2026. The main limitations of our methods are the model's short time horizon and focus on pathways from UBI to mental health solely via income, poverty, and employment, as well as the inability to integrate macroeconomic consequences of UBI; future iterations of the model will address these limitations. Conclusions UBI has potential to improve short-term population mental health by reducing poverty, particularly for women, but impacts are highly dependent on whether individuals choose to remain in employment following its introduction. Future research modelling additional causal pathways between UBI and mental health would be beneficial., Author(s): Rachel M. Thomson 1,*, Daniel Kopasker 1, Patryk Bronka 2, Matteo Richiardi 2, Vladimir Khodygo 1, Andrew J. Baxter 1, Erik Igelström 1, Anna Pearce 1, Alastair H. Leyland [...]

What do we do with emotion in biographical research: is it an end in itself, a symptom to be explained, a thread to be pulled? This paper presents an experiment in methodology within a field of biographical methods that involved revisiting a single qualitative interview after the elapse of thirty years. The interview with 22 year old Stacey was troubling at the time it was generated (as captured in fieldnotes and interview transcript) and was still troubling when these documents were reprised. Naming sadness as an emotion at play in the material took teamwork and emotionally engaged methods of analysis and interpretation. Working with psychoanalytically informed theories we show how a curiosity about emotion and a willingness to follow feelings can help connect individual stories to collective histories. The paper presents group based analyses and writing methods as a way of tracing the psychic logics of story through scenic material (what we call 'emotional bombshells'). We consider the difference that time might make to an analysis, considering the possibility that more time might produce more perspective through allowing the original context to be rendered (more) visible. We also suggest that clock time can be transcended when considering unconscious processes and experiences that resist narrative. Recontextualising research materials can enrich meaning and further realise the value of qualitative interviews that always contain more to be heard, resituated in new times and relationships. This is not simply an exercise in nostalgia but is offered as a method in its own right, reanimation as a route to the generation of new intergenerational knowledge of a thick present in which past, present and future co-exist.

This study explores the complexities of developing feminist archives with a particular focus on the 'Feminist Approaches to Youth Sexuality (FAYS)' archive, created as part of the Reanimating Data project (RAD, 2018-21). Through this case study, we explore the ethical considerations and practices involved in reanimating a landmark feminist study, the Women, Risk, and AIDS Project (WRAP), and emphasize the ethical dimensions of reanimation processes, considering feminist ethics of care and risk. We also explore the concept of rematriation, which is rooted in indigenous feminist scholarship. This concept has become a guiding principle in our efforts to return WRAP to its geo-political context. As such, the article is structured into the following three sections: data in the attic, on recovery and rematriation; feminist ethics, on care and risk; and feminist archival praxis, on reanimating and language. [ABSTRACT FROM AUTHOR]

Mixed methods longitudinal studies continue to be rare, yet have potential for transcending the limits of qualitative and quantitative paradigms. This article compares the life stories of 47 young people generated from a cohort study of 6000 children born in 1995. The cases were sampled through an association between two variables--drug use and leaving school early--generating a four-field table. Comparing the cases within and across each table cells, we question the 'black box' logic that underpins the assumption that cannabis smoking is consequential for educational success. Moving into a qualitative paradigm we reconceptualise the cases as butterflies captured in a net and work deductively to understand the species captured. Culminating with an analysis of a single case over time, we argue that narrative approaches are the starting point for understanding subsequent social action, providing a basis for larger scale quantitative modeling.