Trends in incidence of self-harm, neurodevelopmental and mental health conditions among university students compared with the general population: nationwide electronic data linkage study in Wales.

BACKGROUND: Concern that self-harm and mental health conditions are increasing in university students may reflect widening access to higher education, existing population trends and/or stressors associated with this setting. AIMS: To compare population-level data on self-harm, neurodevelopmental and mental health conditions between university students and non-students with similar characteristics before and during enrolment. METHOD: This cohort study linked electronic records from the Higher Education Statistics Agency for 2012-2018 to primary and secondary healthcare records. Students were undergraduates aged 18 to 24 years at university entry. Non-students were pseudo-randomly selected based on an equivalent age distribution. Logistic regressions were used to calculate odds ratios. Poisson regressions were used to calculate incidence rate ratios (IRR). RESULTS: The study included 96 760 students and 151 795 non-students. Being male, self-harm and mental health conditions recorded before university entry, and higher deprivation levels, resulted in lower odds of becoming a student and higher odds of drop-out from university. IRRs for self-harm, depression, anxiety, autism spectrum disorder (ASD), drug use and schizophrenia were lower for students. IRRs for self-harm, depression, attention-deficit hyperactivity disorder, ASD, alcohol use and schizophrenia increased more in students than in non-students over time. Older students experienced greater risk of self-harm and mental health conditions, whereas younger students were more at risk of alcohol use than non-student counterparts. CONCLUSIONS: Mental health conditions in students are common and diverse. While at university, students require person-centred stepped care, integrated with local third-sector and healthcare services to address specific conditions.

A person-centred consultation intervention to improve shared decision-making about, and uptake of, osteoporosis medicines (iFraP): a pragmatic, parallel-group, individual randomised controlled trial protocol.

Background: Good quality shared decision-making (SDM) conversations involve people with, or at risk of osteoporosis and clinicians collaborating to decide, where appropriate, which evidence-based medicines best fit the person's life, beliefs, and values. We developed the improving uptake of Fracture Prevention drug treatments (iFraP) intervention comprising a computerised Decision Support Tool (DST), clinician training package and information resources, for use in UK Fracture Liaison Service consultations.Two primary objectives to determine (1) the effect of the iFraP intervention on patient-reported ease in decision-making about osteoporosis medicines, and (2) cost-effectiveness of iFraP intervention compared to usual NHS care. Secondary objectives are to determine the iFraP intervention effect on patient reported outcome and experience measures, clinical effectiveness (osteoporosis medicine adherence), and to explore intervention acceptability, mechanisms, and processes underlying observed effects, and intervention implementation. Methods: The iFraP trial is a pragmatic, parallel-group, individual randomised controlled trial in patients referred to a Fracture Liaison Service, with nested mixed methods process evaluation and health economic analysis. Participants aged ≥50 years (n=380) are randomised (1:1 ratio) to one of two arms: (1) iFraP intervention (iFraP-i) or (2) comparator usual NHS care (iFraP-u) and are followed up at 2-weeks and 3-months. The primary outcome is ease of decision-making assessed 2 weeks after the consultation using the Decisional Conflict Scale (DCS). The primary objectives will be addressed by comparing the mean DCS score in each trial arm (using analysis of covariance) for patients given an osteoporosis medicine recommendation, alongside a within-trial cost-effectiveness and value of information (VoI) analysis. Process evaluation data collection includes consultation recordings, semi-structured interviews, and DST analytics. Discussion: The iFraP trial will answer important questions about the effectiveness of the new 'iFraP' osteoporosis DST, coupled with clinician training, on SDM and informed initiation of osteoporosis medicines. Trial registration ISRCTN: 10606407, 21/11/2022 https://doi.org/10.1186/ISRCTN10606407.

Background: For people with osteoporosis, broken bones (called 'fragility fractures') can occur from low or no trauma and cause significant disability. Medicines can strengthen bone and lower the chance of fragility fractures. However, many people who experience a fragility fracture do not start or continue taking osteoporosis medicines. People commonly choose not to take osteoporosis medicines because they are unsure what medicines are for, confused about fracture 'risk' and/or worried about side-effects. To address this, we developed the 'iFraP intervention': 1. The iFraP 'decision-support tool': to support patients and healthcare professionals talk together to make decisions about medicines2. iFraP training for healthcare professionals to:a. use the tool in appointments with patientsb. give understandable, clear and consistent information c. listen to and address patient concerns This trial investigates whether the iFraP intervention makes decision-making about osteoporosis medicines easier, and whether it is cost-effective, acceptable and practical to deliver. Methods: 380 patients will take part who will be 50 years and older and referred to a fracture prevention service, because they have broken a bone. Patients taking part will be allocated to receive either a usual NHS appointment or an appointment using the iFraP intervention. Patients will complete a questionnaire before their appointment, and 2 weeks and 3 months afterwards. Some patients will be asked if they consent to have their appointment recorded and/or be interviewed, to understand how the decision-support tool is being used, and patient's views of the iFraP intervention. Outputs: If successful, the iFraP intervention will benefit patients and the NHS by helping patients make decisions about osteoporosis medicine. If the iFraP intervention increases the number of people with osteoporosis that start and continue taking osteoporosis medicines, iFraP will lower the number of future fractures, and reduce the negative outcomes that result from fractures (e.g. significant disability).

Emerging investigator series: predicted losses of sulfur and selenium in european soils using machine learning: a call for prudent model interrogation and selection.

Reductions in sulfur (S) atmospheric deposition in recent decades have been attributed to S deficiencies in crops. Similarly, global soil selenium (Se) concentrations were predicted to drop, particularly in Europe, due to increases in leaching attributed to increases in aridity. Given its international importance in agriculture, reductions of essential elements, including S and Se, in European soils could have important impacts on nutrition and human health. Our objectives were to model current soil S and Se levels in Europe and predict concentration changes for the 21st century. We interrogated four machine-learning (ML) techniques, but after critical evaluation, only outputs for linear support vector regression (Lin-SVR) models for S and Se and the multilayer perceptron model (MLP) for Se were consistent with known mechanisms reported in literature. Other models exhibited overfitting even when differences in training and testing performance were low or non-existent. Furthermore, our results highlight that similarly performing models based on RMSE or R2 can lead to drastically different predictions and conclusions, thus highlighting the need to interrogate machine learning models and to ensure they are consistent with known mechanisms reported in the literature. Both elements exhibited similar spatial patterns with predicted gains in Scandinavia versus losses in the central and Mediterranean regions of Europe, respectively, by the end of the 21st century for an extreme climate scenario. The median change was -5.5% for S (Lin-SVR) and -3.5% (MLP) and -4.0% (Lin-SVR) for Se. For both elements, modeled losses were driven by decreases in soil organic carbon, S and Se atmospheric deposition, and gains were driven by increases in evapotranspiration.

Evaluating the nutrition and body mass index clinical link pathway in mental health and learning disability services: A mixed-methods study.

This research involved an evaluation of the Nutrition and Body Mass Index Clinical Link Pathway (NBMI CLiP) implemented in practice across Severe Mental Illness and/or learning disabilities ward in Tees, Esk and Wear Valleys NHS Foundation Trust (TEWV), to understand how the NBMI CLiP is used, inpatient staff feedback on the CLiP for supporting service users to manage their weight, and whether using the NBMI CLiP impacted on staffs' own weight management. To account for the uneven distribution of the secondary data, descriptive statistics such as medians and the inter-quartile range were conducted to assess anychanges in recording of Body Mass Index, nutrition screening (SANSI) and intervention planss. Staff survey data investigated barriers and facilitators to using the NBMI CLiP in practice and the impact on their own weight management. Secondary data analysis found most wards improved recording of BMI, SANSI and Intervention Planning. Forensic Learning Disabilities, Adult Learning Disabilities, mixed gender wards and North Yorkshire and York Operational Directorate indicated the greatest improvement. Survey results (n = 55) found three times as many participants (n = 12, 75%) found the NBMI CLiP easy or very easy to use; most fully understood it (n = 13, 81.20%) and were confident or very confident to carry out a SANSI Screen (n = 14, 87.50%) or a recovery focused intervention plan (n = 9, 56.20%). Open-text responses, analysed using content analysis, indicated a need for further training of staff on the NBMI CLiP. It is recommended that to support weight management across these wards, that a nudge or choice architecture approach to weight management is adopted, supported by training delivered by a dietitian.

International migration, food insecurity, and mental health: A scoping review protocol.

Introduction: Food insecurity is a global priority that has been found to negatively impact mental health, increasing the risk of mental disorders and severe mental illness. International migrants may face food insecurity throughout their migratory cycle due to a range of risk factors, such as poor transit conditions, precarious employment, financial pressure, discrimination, and lack of availability and access to culturally relevant food, among others. Although there are multiple reviews on migration, food insecurity, and health in general, no scoping review has been conducted on food insecurity among international migrants focusing on mental health. Objective: To investigate the available evidence on food insecurity and mental health among international migrants. Methods: A search of scientific literature in English, Spanish, French, Italian, and Portuguese published since 2013 will be performed in the Web of Science, PubMed, Medline, APA PsycArticles, Cinahl, and ASSIA databases, including grey literature available in Google Scholar. Two authors will independently review titles, abstracts, and full texts before extracting data from publications complying with the eligibility criteria. Extracted data will be descriptively mapped according to emerging thematic categories. Expected results: The review will contribute to identifying what is known about international migration, food insecurity, and mental health, gaps in the literature, opportunities for specific research subtopics, and how food insecurity and mental health can be linked in the existing literature.

Introducción: La inseguridad alimentaria es una prioridad mundial que, según se ha constatado, repercute negativamente en la salud mental, aumentando los riesgos de padecer trastornos mentales comunes y enfermedades mentales graves. Los migrantes internacionales pueden enfrentarse a la inseguridad alimentaria a lo largo del ciclo migratorio, debido a una serie de factores de riesgo como las precarias condiciones de tránsito, la precariedad laboral, la presión financiera, la discriminación y la falta de disponibilidad y acceso a alimentos culturalmente relevantes, entre otros. Aunque existen varias revisiones sobre migración, inseguridad alimentaria y salud en general, no se ha realizado ninguna revisión de alcance sobre la inseguridad alimentaria entre los migrantes internacionales con especial atención a la salud mental. Objetivo: Investigar la evidencia sobre inseguridad alimentaria y salud mental entre los migrantes internacionales. Métodos: Se realizará una búsqueda de literatura científica en inglés, español, francés, italiano y portugués publicada desde 2013 en las bases de datos Web of Science, PubMed, Medline, APA PsycArticles, Cinahl, y ASSIA, y de literatura gris en Google Scholar. Dos autores revisarán de forma independiente los títulos, resúmenes y textos completos, antes de extraer los datos de las publicaciones que cumplan los criterios de elegibilidad. Los datos extraídos se mapearán descriptivamente según categorías temáticas generales emergentes. Resultados esperados: La revisión contribuirá a identificar lo que se sabe sobre la migración internacional, la inseguridad alimentaria y la salud mental, las lagunas en la literatura sobre el tema, las oportunidades para subtemas específicos de investigación, y explorar cómo la inseguridad alimentaria y la salud mental pueden estar vinculadas en la literatura existente.

International migration, food insecurity, and mental health: A scoping review protocol / Migración internacional, inseguridad alimentaria y salud mental: protocolo de una revisión de alcance

Introducción La inseguridad alimentaria es una prioridad mundial que, según se ha constatado, repercute negativamente en la salud mental, aumentando los riesgos de padecer trastornos mentales comunes y enfermedades mentales graves. Los migrantes internacionales pueden enfrentarse a la inseguridad alimentaria a lo largo del ciclo migratorio, debido a una serie de factores de riesgo como las precarias condiciones de tránsito, la precariedad laboral, la presión financiera, la discriminación y la falta de disponibilidad y acceso a alimentos culturalmente relevantes, entre otros. Aunque existen varias revisiones sobre migración, inseguridad alimentaria y salud en general, no se ha realizado ninguna revisión de alcance sobre la inseguridad alimentaria entre los migrantes internacionales con especial atención a la salud mental. Objetivo Investigar la evidencia sobre inseguridad alimentaria y salud mental entre los migrantes internacionales. Métodos Se realizará una búsqueda de literatura científica en inglés, español, francés, italiano y portugués publicada desde 2013 en las bases de datos Web of Science, PubMed, Medline, APA PsycArticles, Cinahl, y ASSIA, y de literatura gris en Google Scholar. Dos autores revisarán de forma independiente los títulos, resúmenes y textos completos, antes de extraer los datos de las publicaciones que cumplan los criterios de elegibilidad. Los datos extraídos se mapearán descriptivamente según categorías temáticas generales emergentes. Resultados esperados La revisión contribuirá a identificar lo que se sabe sobre la migración internacional, la inseguridad alimentaria y la salud mental, las lagunas en la literatura sobre el tema, las oportunidades para subtemas específicos de investigación, y explorar cómo la inseguridad alimentaria y la salud mental pueden estar vinculadas en la literatura existente.

Introduction Food insecurity is a global priority that has been found to negatively impact mental health, increasing the risk of mental disorders and severe mental illness. International migrants may face food insecurity throughout their migratory cycle due to a range of risk factors, such as poor transit conditions, precarious employment, financial pressure, discrimination, and lack of availability and access to culturally relevant food, among others. Although there are multiple reviews on migration, food insecurity, and health in general, no scoping review has been conducted on food insecurity among international migrants focusing on mental health. Objective To investigate the available evidence on food insecurity and mental health among international migrants. Methods A search of scientific literature in English, Spanish, French, Italian, and Portuguese published since 2013 will be performed in the Web of Science, PubMed, Medline, APA PsycArticles, Cinahl, and ASSIA databases, including grey literature available in Google Scholar. Two authors will independently review titles, abstracts, and full texts before extracting data from publications complying with the eligibility criteria. Extracted data will be descriptively mapped according to emerging thematic categories. Expected results The review will contribute to identifying what is known about international migration, food insecurity, and mental health, gaps in the literature, opportunities for specific research subtopics, and how food insecurity and mental health can be linked in the existing literature.

The feigned annoyance and frustration test to activate the sympathoadrenal medullary system.

When perceived as threatening, social interactions have been shown to trigger the sympathoadrenal medullary system as well as the hypothalamic-pituitary-adrenal axis resulting in a physiologic stress response. The allostatic load placed on human health and physiology in the context of acute and chronic stress can have profound health consequences. The purpose of this study was to develop a protocol for a lab-based stress stimulus using social-evaluative threat. While several valid, stress-stimulating protocols exist, we sought to develop one that triggered a physiologic response, did not require significant lab resources, and could be completed in around 10 min. We included 53 participants (29 men and 24 women) and exposed them to a modified version of the Stroop Color-Word Interference Task during which the participants were made to feel they were performing the task poorly while the lead researcher feigned annoyance and frustration. After exposure to this Feigned Annoyance and Frustration (FAF) Test, both the men and women in this study demonstrated a statistically significant and clinically meaningful increase in subjective stress on the visual analog scale. Additionally, the men in this study demonstrated a statistically significant increase in heart rate and salivary α-amylase concentrations after exposure to the test. The women in this study did not demonstrate a statistically significant increase in the physiologic stress biomarkers. This protocol for the FAF Test shows promise to researchers with limited time and resources who are interested in experimentally activating the sympathoadrenal medullary system.

Food insecurity in adults with severe mental illness living in Northern England: A co-produced cross-sectional study.

AIM: This study aimed to explore food insecurity prevalence and experiences of adults with severe mental illness living in Northern England. METHODS: This mixed-methods cross-sectional study took place between March and October 2022. Participants were adults with self-reported severe mental illness living in Northern England. The survey included demographic, health, and financial questions. Food insecurity was measured using the US Department of Agriculture Adult Food Security measure. Quantitative data were analysed using descriptive statistics and binary logistic regression; and qualitative data using content analysis. RESULTS: In total, 135 participants completed the survey, with a mean age of 44.7 years (SD: 14.1, range: 18-75 years). Participants were predominantly male (53.3%), white (88%) and from Yorkshire (50.4%). The food insecurity prevalence was 50.4% (n = 68). There was statistical significance in food insecurity status by region (p = 0.001); impacts of severe mental illness on activities of daily living (p = 0.02); and the Covid pandemic on food access (p < 0.001). The North West had the highest prevalence of food insecurity (73.3%); followed by the Humber and North East regions (66.7%); and Yorkshire (33.8%). In multivariable binary logistic regression, severe mental illness' impact on daily living was the only predictive variable for food insecurity (odds ratio = 4.618, 95% confidence interval: 1.071-19.924, p = 0.04). CONCLUSION: The prevalence of food insecurity in this study is higher than is reported in similar studies (41%). Mental health practitioners should routinely assess and monitor food insecurity in people living with severe mental illness. Further research should focus on food insecurity interventions in this population.

Considerations for peer research and implications for mental health professionals: learning from research on food insecurity and severe mental illness.

WHAT IS KNOWN ON THE SUBJECT: Peer research methodologies and methods are increasingly used in research, particularly to benefit from lived experiences. The experiences of peer researchers with severe mental illness are less common, including the impact on them of conducting peer-led research. WHAT THE PAPER ADDS TO EXISTING KNOWLEDGE: This paper shares the experience of peer research and suggests in the context of food insecurity, that it is not well understood by some healthcare professionals. WHAT ARE THE IMPLICATIONS FOR PRACTICE: Implications include considerations around trauma-informed care and the need for screening for food insecurity in mental healthcare settings. Research implications include providing training for peer research and needing to consider longevity of peer researcher relationships. ABSTRACT: Introduction Food insecurity means that a person does not have access to sufficient nutritious food for normal growth and health. This can lead to health problems such as obesity, heart disease, diabetes and other long term chronic health conditions. People living with a severe mental illness are more likely to experience food insecurity than people without a severe mental illness. Aim The aim of this paper is to present a lived experience narrative of two peer researchers. Peer researchers conducted interviews with adults with severe mental illness from Northern England as part of a funded research project. These interviews discussed experiences of food insecurity and strategies to tackle it and were conducted between March and December 2022. Thesis The following paper does not discuss the results of the interviews themselves. Rather the narrative begins with an overview of peer research, before sharing the experiences of the two peer researchers in undertaking this project. Implications for Practice This includes healthcare professionals understanding food insecurity, what it is and what it is not, thinking about trauma-informed care, and screening for food insecurity. Peer research implications centre on adequate support and training, considerations to longevity of peer research relationships and reducing unnecessary research burden for peer researchers.

Running biomechanics differ during and after pregnancy compared to females who have never been pregnant.

BACKGROUND: Perinatal running participation has increased recently; however, pregnancy related symptoms can limit activity. Perinatal running biomechanics could inform interventions to help perinatal individuals maintain an active lifestyle. RESEARCH QUESTION: Are perinatal running biomaechanics and muscle activation different compared to nulligravida females? METHODS: Sixteen pregnant participants completed self-selected velocity running during second trimester (2 T), third trimester (3 T), and postpartum (PP) and 16 matched controls completed these procedures once in this case control study. Kinematic, kinetic, and electromyography (EMG) data were collected using a motion capture system, force plates, and EMG electrodes. Peak trunk, pelvis, hip, knee, and ankle kinematics and hip, knee, and ankle moments during stance phase, and average and peak erector spinae (ES), gluteus maximus (GMax), and gluteus medius (GMed) EMG amplitude and duration of activation during stance and swing phases were calculated. Independent t-tests were used to compare 2 T, 3 T, and PP to control participants (α < 0.05). RESULTS: Running velocity was slower during 3 T compared to control participants. At all pregnancy timepoints compared to the control group, peak trunk contralateral rotation was smaller. During 2 T and 3 T peak hip flexor moments were smaller. At 3 T pelvis contralateral rotation was smaller, ES average amplitude was greater during swing, GMax percent duration during stance and GMed percent duration during swing were smaller. At PP trunk flexion was smaller and knee abduction was greater (all p < 0.05). CONCLUSIONS: Decreased running velocity may help offset increased demand during pregnancy. During 3 T, greater ES activation, smaller trunk and pelvis motion, and altered gluteal activation could indicate trunk rigidity combined with modified hip stabilizer muscle utilization. During PP, the rigid trunk combined with greater knee abduction may indicate hip and trunk strength deficits. Altered trunk and hip motion and activation could be relevant to pathologies such as perinatal low back, pelvic girdle, or knee pain.

Combining Static and Dynamic Myofascial Dry Cupping Therapy to Improve Local and Regional Symptoms in Individuals with Low Back Pain: A Case Series.

Introduction: Chronic low back pain is a common musculoskeletal healthcare presentation with an expense of over $100 billion annually. The clinical effect of myofascial cupping on pain and function is not clear, especially when different cupping techniques are combined. The purpose of this case series was to explore changes in pain and function following local static and distal dynamic myofascial dry cupping treatments in patients with chronic low back pain. Case Descriptions: Three adults from the general population received three ten-minute treatment sessions, 48 hours between each session, of static dry cupping to the low back followed by dynamic myofascial cupping of the quadriceps and hamstring musculature. Outcome measures were taken at two different time points within one-week per participant. Subjective measures included the numeric pain rating scale and the Oswestry Disability Index, objective measures included passive straight leg raise measurements, and pressure pain threshold. Results and Discussion: Local static combined with distal dynamic myofascial cupping reduced pain, pain sensitivity and perceived disability, and improved hamstring muscle extensibility in all three participants. These encouraging results support the initiation of a larger controlled trial aimed at investigating the efficacy of combined dry cupping interventions to treat musculoskeletal dysfunction and pain. Level of Evidence: 4 (case series).

Understanding the Biering-Sørensen test: Contributors to extensor endurance in young adults with and without a history of low back pain.

The Biering-Sørensen test is commonly used to assess paraspinal muscle endurance. Research using a single repetition of the test has provided conflicting evidence for the contribution of impaired paraspinal muscle endurance to low back pain (LBP). This study investigated how Sørensen test duration, muscle activation, and muscle fatigability are affected by multiple repetitions of the test and determined predictors of Sørensen test duration in young adults with and without a history of LBP. Sixty-four young individuals performed three repetitions of the Sørensen test. Amplitude of activation and median frequency slope (fatigability) were calculated for the lumbar and thoracic paraspinals and hamstrings. Duration of the test was significantly less for the 3rd repetition in individuals with LBP. In individuals without LBP, test duration was predicted by fatigability of the lumbar paraspinals. In individuals with LBP, Sørensen test duration was predicted by fatigability of the hamstrings and amplitude of activation of the thoracic and lumbar paraspinals. Our findings demonstrate that it is necessary to amplify the difficulty of the Sørensen test to reveal impairments in young, active adults with LBP. Training programs aiming to improve lumbar paraspinal performance should monitor performance of other synergist muscles during endurance exercise.

Using healthcare systems data for outcomes in clinical trials: issues to consider at the design stage.

BACKGROUND: Healthcare system data (HSD) are increasingly used in clinical trials, augmenting or replacing traditional methods of collecting outcome data. This study, PRIMORANT, set out to identify, in the UK context, issues to be considered before the decision to use HSD for outcome data in a clinical trial is finalised, a methodological question prioritised by the clinical trials community. METHODS: The PRIMORANT study had three phases. First, an initial workshop was held to scope the issues faced by trialists when considering whether to use HSDs for trial outcomes. Second, a consultation exercise was undertaken with clinical trials unit (CTU) staff, trialists, methodologists, clinicians, funding panels and data providers. Third, a final discussion workshop was held, at which the results of the consultation were fed back, case studies presented, and issues considered in small breakout groups. RESULTS: Key topics included in the consultation process were the validity of outcome data, timeliness of data capture, internal pilots, data-sharing, practical issues, and decision-making. A majority of consultation respondents (n = 78, 95%) considered the development of guidance for trialists to be feasible. Guidance was developed following the discussion workshop, for the five broad areas of terminology, feasibility, internal pilots, onward data sharing, and data archiving. CONCLUSIONS: We provide guidance to inform decisions about whether or not to use HSDs for outcomes, and if so, to assist trialists in working with registries and other HSD providers to improve the design and delivery of trials.

Food insecurity in adults with severe mental illness: A systematic review with meta-analysis.

INTRODUCTION: Food insecurity in adults living with Severe Mental Illness (SMI) is an underresearched area worldwide. AIM: This systematic review and meta-analysis aimed to identify and collate evidence on food insecurity in adults with SMI, in high- and upper-middle income countries. METHOD: A comprehensive electronic search was completed up to August 2022. Random effects meta-analysis was undertaken to determine the prevalence and the odds ratio for food insecurity in adults with SMI. Narrative synthesis explored the data further. RESULTS: Sixteen publications were included (13 in the meta-analysis). The prevalence estimate of food insecurity in adults with SMI was 41% (95% CI: 29% to 53%, I2 = 99.9%, n = 13). Adults with SMI were 3.31 (95% CI: 2.03 to 5.41) times more likely to experience food insecurity than comparators without SMI (z = 6.29, p < .001, I2 = 98.9%, n = 6). Food insecurity appears to be a risk factor for developing SMI. DISCUSSION: This review suggests adults with SMI living in high- or upper-middle income countries are more likely to experience food insecurity than the general population and that this relationship may be inverse. IMPLICATIONS FOR PRACTICE: Mental health practitioners should be aware of food insecurity and support individuals with SMI to access sufficient food.

Growing New Zealand Research Capability Using Degree-Based Education: a Commentary After 20 Years of Massage Therapy Graduates.

As massage therapy educators, we started with a desire to cement a place for massage therapy as a legitimate and viable health service. A bachelor degree, underpinned by research-informed education, was the selected mode. In December 2023, our 20th cohort of bachelor degree students will graduate. This commentary describes and reflects on progress towards developing research capability, and engagement in and promotion of massage therapy research to learners and practitioners of massage therapy in New Zealand.

Food insecurity in adults with severe mental illness living in Northern England: Peer research interview findings.

Food insecurity means that a person does not have access to sufficient nutritious food for normal growth and health. Food insecurity can lead to many health problems such as obesity, heart disease, diabetes, and other long term health conditions. People living with a severe mental illness are more likely to experience food insecurity than people without mental illness. Peer-led in-depth interviews were conducted with adults with severe mental illness from Northern England, during which their experiences of food insecurity and strategies to tackle food insecurity were discussed. Interviews took place between March and December 2022, with interviews being transcribed and analysed using deductive and inductive thematic analysis. Thirteen interviews were conducted, finding that food insecurity in adults with severe mental illness was often a long-standing issue. Unemployment, the cost-of-living crisis and fuel poverty impacted on experiences of food insecurity. Difficulties accessing food banks such as transport, stigma, and the limited selection of available food was also discussed. Strategies to tackle food insecurity centred on making food banks more accessible and improving the quality of available food. Future research should aim to eradicate food insecurity for adults with severe mental illness, as limited research and action focuses on this population group over and above 'mental illness' or 'poor mental health'. Removing barriers to accessing food such as lack of transport, and providing food which is of adequate nutritional quality, should be prioritised, as well as tackling the stigma and accessibility issues surrounding food banks use.

Ethnic differences in receipt of psychological interventions in Early Intervention in Psychosis services in England - a cross-sectional study.

There is some evidence of differences in psychosis care provision by ethnicity. We investigated variations in the receipt of Cognitive Behavioural Therapy for psychosis (CBTp) and family intervention across ethnic groups in Early Intervention in Psychosis (EIP) teams throughout England, where national policy mandates offering these interventions to all. We included data on 29,610 service users from the National Clinical Audit of Psychosis (NCAP), collected between 2018 and 2021. We conducted mixed effects logistic regression analyses to examine odds ratios of receiving an intervention (CBTp, family intervention, either intervention) across 17 ethnic groups while accounting for the effect of years and variance between teams and adjusting for individual- (age, gender, occupational status) and team-level covariates (care-coordinator caseload, inequalities strategies). Compared with White British people, every minoritized ethnic group, except those of mixed Asian-White and mixed Black African-White ethnicities, had significantly lower adjusted odds of receiving CBTp. People of Black African, Black Caribbean, non-African/Caribbean Black, non-British/Irish White, and of "any other" ethnicity also experienced significantly lower adjusted odds of receiving family intervention. Pervasive inequalities in receiving CBTp for first episode psychosis exist for almost all minoritized ethnic groups, and family intervention for many groups. Investigating how these inequalities arise should be a research priority.

Use of co-production to explore food insecurity in adults with severe mental illness living in Northern England: a mixed-methods study.

BACKGROUND: People living with severe mental illness experience premature mortality from diet-related preventable illnesses. Yet, little research focuses on food insecurity with adults with severe mental illness. This coproduced study aimed to understand the experiences of adults with severe mental illness and food insecurity and strategies to help. METHODS: Following a pragmatism philosophical foundation, we undertook a mixed-methods study involving a survey (online and paper versions) and one-to-one semi-structured interviews (online and telephone) during March 7 to Dec 16, 2022. We recruited participants via existing severe mental illness service user groups and social media in Northern England. Eligible participants were adults (≥18 years) self-reporting a diagnosis of severe mental illness. Ethics approval was obtained from Teesside University and the Health Research Authority (Reference: 22/NR/0010; IRAS ID: 306281), with informed consent given. The target sample size, accounting for a typical survey response rate for people with severe mental illness of 10-20%, was 135. A target sample of 20 interviews was agreed to capture a range of views. Food insecurity was defined as the lack of financial resources needed to ensure someone has reliable access to enough food to meet their dietary, nutritional, and social needs. It is sometimes called food poverty. Quantitative data were analysed using descriptive statistics and binary logistic regression and qualitative data using thematic analysis. FINDINGS: 135 participants completed the survey (mean age 44·67 years [SD 14·1]). Participants were predominantly male (53%, n=72), white (87%, n=117), and from the Yorkshire region (50%, n=68). Overall, prevalence of food insecurity was 50·4% (n=68). Discussion across 13 interviews found food insecurity being a long-rooted experience, including familial and intergenerational experiences of food insecurity: "I grew up… with this insecurity around food" (P002). Recommendations for tackling food insecurity centred on food banks, increasing accessibility, and reducing stigma: "I would like to get more information on where the centres are..." (P006) and "I was referred to, erm, a foodbank … but it's still the stigma that's attached to it." (P002). INTERPRETATION: We found a higher prevalence of food insecurity in this study than in the general population (being 15%), yet limited research with adults with severe mental illness perpetuates food insecurity intergenerational injustices. Food insecurity should be eliminated. However, in the meanwhile, there should be widespread easy access to food banks offering nutritional foods. Limitations of this research include not reaching target sample size and a lack of ethnic diversity. FUNDING: National Institute of Health and Care Research (NIHR) Research for Patient Benefit.

Investigating the challenges of biogas provision in water limited environments through laboratory scale biodigesters.

The potential for biogas provision through household-scale anaerobic digestion in rural sub-Saharan Africa is limited due to perceived water shortages. The most common substrate is animal dung diluted 1:1 with water. Two experimental methods tested the potential of reducing water demand. The first experiment compared the chemical oxygen demand (COD) and volatile solid removal of four cow dung dilutions ranging from 3.5-10.6% total solids. In the second experiment, bioslurry filtrate was recirculated back into the fresh substrate at different concentrations. The highest COD removal rate of 28.3% was obtained from mixing equal volumes of dung with filtrate (mean total solids 7.4%) while the highest methane production rate of 0.40 g/L/day, calculated from COD balance, was obtained from undiluted cow dung (total solids 10.6%). Results suggest the potential for a 75-100% reduction in water demand.

Classifying Unstable and Stable Walking Patterns Using Electroencephalography Signals and Machine Learning Algorithms.

Analyzing unstable gait patterns from Electroencephalography (EEG) signals is vital to develop real-time brain-computer interface (BCI) systems to prevent falls and associated injuries. This study investigates the feasibility of classification algorithms to detect walking instability utilizing EEG signals. A 64-channel Brain Vision EEG system was used to acquire EEG signals from 13 healthy adults. Participants performed walking trials for four different stable and unstable conditions: (i) normal walking, (ii) normal walking with medial-lateral perturbation (MLP), (iii) normal walking with dual-tasking (Stroop), (iv) normal walking with center of mass visual feedback. Digital biomarkers were extracted using wavelet energy and entropies from the EEG signals. Algorithms like the ChronoNet, SVM, Random Forest, gradient boosting and recurrent neural networks (LSTM) could classify with 67 to 82% accuracy. The classification results show that it is possible to accurately classify different gait patterns (from stable to unstable) using EEG-based digital biomarkers. This study develops various machine-learning-based classification models using EEG datasets with potential applications in detecting unsteady gait neural signals and intervening by preventing falls and injuries.