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Objectives/Goals: Mathematical models of airborne virus transmission lack supporting field and clinical data such as viral aerosol emission rates and airborne infectious doses. Here, we aim to measure inhalation exposure to influenza aerosols in a room shared with persons with community-acquired influenza and estimate the infectious dose via inhalation. Methods/Study Population: We recruited healthy volunteer recipients and influenza donors with polymerase chain reaction (PCR)-confirmed community-acquired infection. On admission to a hotel quarantine, recipients provided sera to determine baseline immunity to influenza virus, and donor infections were confirmed by quantitative real-time polymerase chain reaction. Donors and recipients were housed in separate rooms and interacted in an “event room” with controlled ventilation (0.2 – 0.5 air changes/hour) and relative humidity (20–40%). We collected ambient bioaerosol exposure samples using NIOSH BC-251 samplers. Donors provided exhaled breath samples collected by a Gesundheit-II (G-II). We analyzed aerosol samples using dPCR and fluorescent focus assays for influenza A and sera by hemagglutinin inhibition assay (HAI) against donor viruses and vaccine strains. Results/Anticipated Results: Among two cohorts (24b and 24c), we exposed 11 recipients (mean age: 36; 55% female) to 5 donors (mean age: 21; 80% female) infected with influenza A H1N1 or H3N2. Eight G-II and two NIOSH bioaerosol samples (1–4 µm and ≥4 µm) were PCR positive. We cultured virus from one G-II sample. Based on previous literature, we hypothesized that ~50% of immunologically naïve people (HAI Discussion/Significance of Impact: We demonstrated that it is feasible to recruit donors with community-acquired influenza and expose recipients to measurable virus quantities under controlled conditions. However, baseline immunity was high among volunteers. Our work sets the stage for designing studies with increased sample sizes comprising immunologically naïve volunteers.
Objectives/Goals: Research suggests that veterans identifying as Black, Hispanic/Latinx and multiracial may be at higher risk for developing posttraumatic stress disorder (PTSD). The aim of the current study was to compare PTSD treatment outcomes across racial/ethnic veteran groups. Methods/Study Population: Data from 862 veterans who participated in a 2-week cognitive processing therapy (CPT)-based intensive PTSD treatment program were evaluated. Veterans were on average 45.2 years old and 53.8% identified as male. Overall, 64.4% identified as White, Non-Hispanic/ Latino; 17.9% identified as Black, Indigenous, and People of Color (BIPOC), Non-Hispanic/Latino; and 17.7% identified as Hispanic/Latino. PTSD (PCL-5) and depression (PHQ-9) were collected at intake, completion, and at 3-month follow up. A Bayes factor approach was used to examine whether PTSD, and depression outcomes would be noninferior for BIPOC and Hispanic/Latino groups compared to White, Non-Hispanic veterans over time. Results/Anticipated Results: PTSD severity decreased for the White, BIPOC, and Hispanic/Latino groups from baseline to 3-month follow-up. The likelihood that BIPOC and Hispanic/Latino groups would have comparable PTSD outcomes was 1.81e+06 to 208.56 times greater than the likelihood that these groups would have worse outcomes than the White, Non-Hispanic veterans. Depression severity values on the PHQ-9 decreased for the White, BIPOC, and Hispanic/Latino groups from baseline to 3-month follow-up. The likelihood that BIPOC and Hispanic/Latino groups would have comparable depression outcomes at treatment completion approached infinity. At 3-month follow-up, likelihood was 1.42e+11 and 3.09e+05, respectively. Discussion/Significance of Impact: Results indicated that White, BIPOC, and Hispanic/ Latino groups experienced similarly large PTSD and depression symptom reductions. This study adds to the growing body of literature examining differences in clinical outcomes across racial/ ethnic groups for PTSD.
To report a case of cutaneous tumour seeding following core biopsy of a thyroid malignancy.
Methods
This paper presents a case report of cutaneous tumour seeding following core biopsy and a review of the literature concerning the role, and risks, of fine needle aspiration and core biopsy in the diagnostic evaluation of neck lumps.
Results
A 75-year-old woman presented with a left-sided level IV neck lump adjacent to the left lobe of the thyroid. Fine needle aspiration revealed that the neck lump contained follicular epithelial cell groups; however, nuclear grooves and pseudo-inclusions could not exclude a diagnosis of papillary thyroid carcinoma. Subsequent core biopsy confirmed features of a thyroid neoplasm, although abundant necrosis and limited lesional cells within the specimen made histological diagnosis difficult. The patient underwent total thyroidectomy and left-sided selective neck dissection for symptom control. A superficial nodule overlying the core biopsy site was noted at operation and excised; it was found to contain cells of poorly differentiated papillary carcinoma identical to the subsequently confirmed thyroid primary.
Conclusion
This case highlights a rare but important risk associated with sampling neck lumps. Nevertheless, ultrasound-guided sampling is an essential investigative step with great diagnostic accuracy and patient acceptability.
Accurate diagnosis of bipolar disorder (BPD) is difficult in clinical practice, with an average delay between symptom onset and diagnosis of about 7 years. A depressive episode often precedes the first manic episode, making it difficult to distinguish BPD from unipolar major depressive disorder (MDD).
Aims
We use genome-wide association analyses (GWAS) to identify differential genetic factors and to develop predictors based on polygenic risk scores (PRS) that may aid early differential diagnosis.
Method
Based on individual genotypes from case–control cohorts of BPD and MDD shared through the Psychiatric Genomics Consortium, we compile case–case–control cohorts, applying a careful quality control procedure. In a resulting cohort of 51 149 individuals (15 532 BPD patients, 12 920 MDD patients and 22 697 controls), we perform a variety of GWAS and PRS analyses.
Results
Although our GWAS is not well powered to identify genome-wide significant loci, we find significant chip heritability and demonstrate the ability of the resulting PRS to distinguish BPD from MDD, including BPD cases with depressive onset (BPD-D). We replicate our PRS findings in an independent Danish cohort (iPSYCH 2015, N = 25 966). We observe strong genetic correlation between our case–case GWAS and that of case–control BPD.
Conclusions
We find that MDD and BPD, including BPD-D are genetically distinct. Our findings support that controls, MDD and BPD patients primarily lie on a continuum of genetic risk. Future studies with larger and richer samples will likely yield a better understanding of these findings and enable the development of better genetic predictors distinguishing BPD and, importantly, BPD-D from MDD.
The identification of predictors of treatment response is crucial for improving treatment outcome for children with anxiety disorders. Machine learning methods provide opportunities to identify combinations of factors that contribute to risk prediction models.
Methods
A machine learning approach was applied to predict anxiety disorder remission in a large sample of 2114 anxious youth (5–18 years). Potential predictors included demographic, clinical, parental, and treatment variables with data obtained pre-treatment, post-treatment, and at least one follow-up.
Results
All machine learning models performed similarly for remission outcomes, with AUC between 0.67 and 0.69. There was significant alignment between the factors that contributed to the models predicting two target outcomes: remission of all anxiety disorders and the primary anxiety disorder. Children who were older, had multiple anxiety disorders, comorbid depression, comorbid externalising disorders, received group treatment and therapy delivered by a more experienced therapist, and who had a parent with higher anxiety and depression symptoms, were more likely than other children to still meet criteria for anxiety disorders at the completion of therapy. In both models, the absence of a social anxiety disorder and being treated by a therapist with less experience contributed to the model predicting a higher likelihood of remission.
Conclusions
These findings underscore the utility of prediction models that may indicate which children are more likely to remit or are more at risk of non-remission following CBT for childhood anxiety.
We are a/r/tographers who work in pre- and in- service teacher education in Australian universities. We write this chapter for researchers interested in encountering and conducting speculative creative inquiry. Data analysis in speculative a/r/tography is an active doing coupled with quiet reflection in the space of ‘not yet’. It is ‘less about discovering something pre- existing and more about constructing knowledge through the process itself ‘ (Reason, 2018, p 49). Doing data this way advances our understanding of small data via closeto- practice, aesthetically oriented, process- driven, human- scale analyses. This approach to data resists data imperialism and is decolonial, post- human, and activist in its politics – making way for a multiplicity of ontologies, knowledge systems, and methodologies. Our creative methods are informed by an interplay of methodology and pedagogy that contiguously respond to relational understandings of being an artist/ researcher/ theorist and the many creative (in- )betweens that being a practitioner affords. In this sense, we dance between theory and practice, whereby theory becomes data as much as the artefacts created in and through the a/ r/ tistic practice. As collaborators, we explore complex problems with similarly curious colleagues and students, bringing together multiple perspectives, sites, and spaces to assemble meaning (MacDonald et al, 2022). This is an important place to begin this chapter on creative data work because it positions where and how we do speculative a/ r/ tography and what the opportunities might be as you begin to play within creative possibilities.
A/ r/ tography has its roots in education (see LeBlanc and Irwin, 2019). However, our particular iteration of a/ r/ tography transcends the disciplinary boundaries of education, living and breathing across speculative inquiry, creative methods, and creative data analysis. A/ r/ tography renders its practices in ways that enable thinking with and doing through iterative and looping actions: contiguity, living inquiry, openings, metaphor/ metonymy, reverberation and resonance, excess and absence, and gaze (Coleman, 2017). Our rendering of a/ r/ tography as speculative emphasises inquiry as being complex, imaginative, playful, and risky. Speculative a/ r/ tography enacts possibility thinking, ‘designerly’ ways of knowing and thinking, prototyping and failure in novel ways that other forms of a/ r/ tography might not.
Background: Currently there are no disease modifying treatment for Synucleinopathies including Parkinson’s disease Dementia (PDD). Carrying a mutation in the GBA gene (beta-glucocerebrosidase/ GCAse) is a leading risk factor for synucleinopathies. Raising activity GCAse lowers α-synuclein levels in cells and animal models. Ambroxol is a pharmacological chaperone for GCAse and can raise GCAse levels. Our goal is to test Ambroxol as a disease-modifying treatment in PDD. Methods: We randomized fifty-five individuals with PDD to Ambroxol 1050mg/day, 525mg/day, or placebo for 52 weeks. Primary outcome measures included safety, Alzheimer’s disease Assessment Scale-cognitive (ADAS-Cog) subscale and the Clinician’s Global Impression of Change (CGIC). Secondary outcomes included pharmacokinetics, cognitive and motor outcomes and and plasma and CSF biomarkers. Results: Ambroxol was well tolerated. There were 7 serious adverse events (SAEs) none deemed related to Ambroxol. GCase activity was increased in white blood cells by ~1.5 fold. There were no differences between groups on primary outcome measures. Patients receiving high dose Ambroxol appeared better on the Neuropsychiatric Inventory. GBA carriers appeared to improve on some cognitive tests. pTau 181 was reduced in CSF. Conclusions: Ambroxol was safe and well-tolerated in PDD. Ambroxol may improve biomarkers and cognitive outcomes in GBA1 mutation carrie.rs Ambroxol improved some biomarkerss. ClinicalTrials.gov NCT02914366
CHD is a significant risk factor for the development of necrotising enterocolitis. Existing literature does not differentiate between term and preterm populations. Long-term outcomes of these patients are not well understood. The aim was to investigate the baseline characteristics and outcomes of term normal birth weight infants with CHD who developed necrotising enterocolitis.
Methods:
A retrospective review was performed of infants from a single tertiary centre with CHD who developed necrotising enterocolitis of Bell’s Stage 1–3, over a ten-year period. Inclusion criteria was those born greater than 36 weeks’ gestation and birth weight over 2500g. Exclusion criteria included congenital gastro-intestinal abnormalities. Sub-group analysis was performed using Fisher’s exact test.
Results:
Twenty-five patients were identified, with a median gestational age of 38 weeks. Patients with univentricular physiology accounted for 32% (n = 8) and 52% of patients (n = 13) had a duct-dependent lesion. Atrioventricular septal defect was the most common cardiac diagnosis (n = 6, 24%). Patients with trisomy 21 accounted for 20% of cases. Mortality within 30 days of necrotising enterocolitis was 20%. Long-term mortality was 40%, which increased with increasing Bell’s Stage. In total, 36% (n = 9) required surgical management of necrotising enterocolitis, the rate of which was significantly higher in trisomy 21 cases (p < 0.05).
Conclusion:
Not previously described in term infants is the high rate of trisomy 21 and atrioventricular septal defect. This may reflect higher baseline incidence in our population. Infants with trisomy 21 were more likely to develop surgical necrotising enterocolitis. Mortality at long-term follow-up was high in patients with Bell’s Stage 2–3.
White matter hyperintensity (WMH) burden is greater, has a frontal-temporal distribution, and is associated with proxies of exposure to repetitive head impacts (RHI) in former American football players. These findings suggest that in the context of RHI, WMH might have unique etiologies that extend beyond those of vascular risk factors and normal aging processes. The objective of this study was to evaluate the correlates of WMH in former elite American football players. We examined markers of amyloid, tau, neurodegeneration, inflammation, axonal injury, and vascular health and their relationships to WMH. A group of age-matched asymptomatic men without a history of RHI was included to determine the specificity of the relationships observed in the former football players.
Participants and Methods:
240 male participants aged 45-74 (60 unexposed asymptomatic men, 60 male former college football players, 120 male former professional football players) underwent semi-structured clinical interviews, magnetic resonance imaging (structural T1, T2 FLAIR, and diffusion tensor imaging), and lumbar puncture to collect cerebrospinal fluid (CSF) biomarkers as part of the DIAGNOSE CTE Research Project. Total WMH lesion volumes (TLV) were estimated using the Lesion Prediction Algorithm from the Lesion Segmentation Toolbox. Structural equation modeling, using Full-Information Maximum Likelihood (FIML) to account for missing values, examined the associations between log-TLV and the following variables: total cortical thickness, whole-brain average fractional anisotropy (FA), CSF amyloid ß42, CSF p-tau181, CSF sTREM2 (a marker of microglial activation), CSF neurofilament light (NfL), and the modified Framingham stroke risk profile (rFSRP). Covariates included age, race, education, APOE z4 carrier status, and evaluation site. Bootstrapped 95% confidence intervals assessed statistical significance. Models were performed separately for football players (college and professional players pooled; n=180) and the unexposed men (n=60). Due to differences in sample size, estimates were compared and were considered different if the percent change in the estimates exceeded 10%.
Results:
In the former football players (mean age=57.2, 34% Black, 29% APOE e4 carrier), reduced cortical thickness (B=-0.25, 95% CI [0.45, -0.08]), lower average FA (B=-0.27, 95% CI [-0.41, -.12]), higher p-tau181 (B=0.17, 95% CI [0.02, 0.43]), and higher rFSRP score (B=0.27, 95% CI [0.08, 0.42]) were associated with greater log-TLV. Compared to the unexposed men, substantial differences in estimates were observed for rFSRP (Bcontrol=0.02, Bfootball=0.27, 994% difference), average FA (Bcontrol=-0.03, Bfootball=-0.27, 802% difference), and p-tau181 (Bcontrol=-0.31, Bfootball=0.17, -155% difference). In the former football players, rFSRP showed a stronger positive association and average FA showed a stronger negative association with WMH compared to unexposed men. The effect of WMH on cortical thickness was similar between the two groups (Bcontrol=-0.27, Bfootball=-0.25, 7% difference).
Conclusions:
These results suggest that the risk factor and biological correlates of WMH differ between former American football players and asymptomatic individuals unexposed to RHI. In addition to vascular risk factors, white matter integrity on DTI showed a stronger relationship with WMH burden in the former football players. FLAIR WMH serves as a promising measure to further investigate the late multifactorial pathologies of RHI.
Although human factors are recognized as influential factors affecting the welfare and productivity of farm animals, only limited research has been conducted to identify these important human characteristics and to quantify their effects. During the last 13 years we have studied two apparently important human factors: the attitude and the behaviour of stockpersons towards farm animals.
We have proposed that in intensive animal production systems there are some important sequential relationships between the attitude and behaviour of the stockperson towards farm animals and the behaviour, performance and welfare of farm animals. Basically we have suggested that because a stockperson's behaviour towards animals is largely under volitional control it is strongly influenced by the attitudes and beliefs that the stockperson holds about the animals. Furthermore, the stockperson's behaviour towards animals affects the animals’ fear of humans which, in turn, affects the animals’ productivity and welfare. It is the occurrence of a stress response by animals which are highly fearful of humans which places their productivity and welfare at risk We have published data which strongly support these interrelationships between human attitude and behaviour and animal behaviour, productivity and welfare. This paper reviews this and other research on this subject. The results of research in the pig industry and to a lesser extent, the poultry industries indicate the excellent opportunity which exists to improve animal productivity and welfare by training and selecting stockpersons to have desirable attitudinal and behavioural profiles towards farm animals.
Timely euthanasia on swine farms can help to reduce the incidence of poor welfare outcomes for compromised pigs (Sus scrofa) when recovery is prolonged or impossible. Timely euthanasia relies upon caretakers’ abilities to identify compromised pigs and administer euthanasia in various environments. To determine appropriate timelines and most common reasons for on-farm euthanasia, an online survey was conducted with members of the United States National Pork Board. Additionally, two focus groups were conducted to investigate barriers and possible solutions associated with timely euthanasia. Clinical signs related to poor locomotion (57.6%), prolapses (47.2%), and hernias (43.5%) were identified by the greatest percentage of respondents who believed immediate euthanasia was warranted, while a greater percentage of respondents believed euthanasia was not warranted for clinical signs related to the integumentary (90.3%), reproductive (75.8%), and respiratory (67.5%) systems. The most common reason for euthanasia was poor body condition in pre-weaned piglets and non-ambulatory or severely weak for both breeding and non-breeding pigs. In the focus groups, two themes were identified when evaluating barriers to euthanasia on-farm, and participants agreed that making timely decisions relies upon several dimensions of risk analysis. An unsupportive farm culture was identified as a critical barrier to timely euthanasia decision-making, suggesting that caretaker characteristics may play a role in the success of any timely euthanasia programme. This present study has highlighted areas for future research and demonstrated the need to extend educational efforts both to swine industry leaders and producers to improve overall animal welfare by ensuring timely euthanasia in swine.
The past 50 yr of advances in weed recognition technologies have poised site-specific weed control (SSWC) on the cusp of requisite performance for large-scale production systems. The technology offers improved management of diverse weed morphology over highly variable background environments. SSWC enables the use of nonselective weed control options, such as lasers and electrical weeding, as feasible in-crop selective alternatives to herbicides by targeting individual weeds. This review looks at the progress made over this half-century of research and its implications for future weed recognition and control efforts; summarizing advances in computer vision techniques and the most recent deep convolutional neural network (CNN) approaches to weed recognition. The first use of CNNs for plant identification in 2015 began an era of rapid improvement in algorithm performance on larger and more diverse datasets. These performance gains and subsequent research have shown that the variability of large-scale cropping systems is best managed by deep learning for in-crop weed recognition. The benefits of deep learning and improved accessibility to open-source software and hardware tools has been evident in the adoption of these tools by weed researchers and the increased popularity of CNN-based weed recognition research. The field of machine learning holds substantial promise for weed control, especially the implementation of truly integrated weed management strategies. Whereas previous approaches sought to reduce environmental variability or manage it with advanced algorithms, research in deep learning architectures suggests that large-scale, multi-modal approaches are the future for weed recognition.
Protestantism has grown strikingly throughout Latin America in the last two decades. Estimating such growth is hazardous in the absence of firm national survey data, but the phenomenon is clearly embracing sizable segments of national populations. In Guatemala, estimates of Protestants in the national population ranged from 20 to 25 percent by the early 1980s, with more recent estimates approaching 30 percent.
Researchers have begun to change their approach to training in the biomedical sciences through the development of communities of practice (CoPs). CoPs share knowledge across clinical and laboratory contexts to promote the progress of clinical and translational science. The Congressionally Directed Medical Research Programs’ (CDMRP) Ovarian Cancer Academy (OCA) was designed as a virtual CoP to promote interactions among early career investigators (ECIs) and their mentors with the goal of eliminating ovarian cancer.
Methods:
A mixed-methods approach (surveys and interviews) was used to evaluate the effectiveness of the OCA for the eight ECIs and five mentors. Quantitative analysis included internal reliability of scales and descriptive statistics for each measure, as well as paired sample t-tests for Time 1 and Time 2. Qualitative data were analyzed for themes to discern which aspects of the program were useful and where more attention is needed.
Results:
Preliminary analyses reveal several trends, including the importance of training in grant writing to the ECI’s productivity, as well as the value of peer mentorship.
Conclusion:
The results show that the OCA was an innovative and effective way to create a CoP with broad implications for the field of ovarian cancer research, as well as for the future of biomedical research training.
Retrospective self-reports of childhood trauma are associated with a greater risk of psychopathology in adulthood than prospective measures of trauma. Heritable reporter characteristics are anticipated to account for part of this association, whereby genetic predisposition to certain traits influences both the likelihood of self-reporting trauma and of developing psychopathology. However, previous research has not considered how gene–environment correlation influences these associations.
Aims
To investigate reporter characteristics associated with retrospective self-reports of childhood trauma and whether these associations are accounted for by gene–environment correlation.
Method
In 3963 unrelated individuals from the Twins Early Development Study, we tested whether polygenic scores for 21 psychiatric, cognitive, anthropometric and personality traits were associated with retrospectively self-reported childhood emotional and physical abuse. To assess the presence of gene–environment correlation, we investigated whether these associations remained after controlling for composite scores of environmental adversity across development.
Results
Retrospectively self-reported childhood trauma was associated with polygenic scores for autism spectrum disorder (ASD), body mass index (BMI), post-traumatic stress disorder (PTSD) and risky behaviours. When composite scores of environmental adversity were controlled for, only associations with the polygenic scores for ASD and PTSD remained significant.
Conclusions
Genetic predisposition to ASD and PTSD may increase liability to experiencing or interpreting events as traumatic. Associations between genetic predisposition for risky behaviour and BMI with self-reported childhood trauma may reflect gene–environment correlation. Studies of the association between retrospectively self-reported childhood trauma and later-life outcomes should consider that genetically influenced reporter characteristics may confound associations, both directly and through gene–environment correlation.
Anxiety and depressive disorders can be chronic and disabling. Although there are effective treatments, only a fraction of those impaired receive treatment. Predictors of treatment-seeking and treatment receipt could be informative for initiatives aiming to tackle the burden of untreated anxiety and depression.
Aims
To investigate sociodemographic characteristics associated with treatment-seeking and treatment receipt.
Method
Two binary retrospective reports of lifetime treatment-seeking (n = 44 810) and treatment receipt (n = 37 346) were regressed on sociodemographic factors (age, gender, UK ethnic minority background, educational attainment, household income, neighbourhood deprivation and social isolation) and alternative coping strategies (self-medication with alcohol/drugs and self-help) in UK Biobank participants with lifetime generalised anxiety or major depressive disorder. Analyses were also stratified by gender.
Results
Treatment access was more likely in those who reported use of self-help strategies, with university-level education and those from less economically advantaged circumstances (household income <£30 000 and greater neighbourhood deprivation). Treatment access was less likely in those who were male, from a UK ethnic minority background and with high household incomes (>£100 000). Men who self-medicated and/or had a vocational qualification were also less likely to seek treatment.
Conclusions
This work on retrospective reports of treatment-seeking and treatment receipt at any time of life replicates known associations with treatment-seeking and treatment receipt during time of treatment need. More work is required to understand whether improving rates of treatment-seeking improves prognostic outcomes for individuals with anxiety or depression.
There is a growing literature in support of the effectiveness of task-shared mental health interventions in resource-limited settings globally. However, despite evidence that effect sizes are greater in research studies than actual care, the literature is sparse on the impact of such interventions as delivered in routine care. In this paper, we examine the clinical outcomes of routine depression care in a task-shared mental health system established in rural Haiti by the international health care organization Partners In Health, in collaboration with the Haitian Ministry of Health, following the 2010 earthquake.
Methods
For patients seeking depression care betw|een January 2016 and December 2019, we conducted mixed-effects longitudinal regression to quantify the effect of depression visit dose on symptoms, incorporating interaction effects to examine the relationship between baseline severity and dose.
Results
306 patients attended 2052 visits. Each visit was associated with an average reduction of 1.11 in depression score (range 0–39), controlling for sex, age, and days in treatment (95% CI −1.478 to −0.91; p < 0.001). Patients with more severe symptoms experienced greater improvement as a function of visits (p = 0.04). Psychotherapy was provided less frequently and medication more often than expected for patients with moderate symptoms.
Conclusions
Our findings support the potential positive impact of scaling up routine mental health services in low- and middle-income countries, despite greater than expected variability in service provision, as well as the importance of understanding potential barriers and facilitators to care as they occur in resource-limited settings.
To assess the relationship between food insecurity, sleep quality, and days with mental and physical health issues among college students.
Design:
An online survey was administered. Food insecurity was assessed using the ten-item Adult Food Security Survey Module. Sleep was measured using the nineteen-item Pittsburgh Sleep Quality Index (PSQI). Mental health and physical health were measured using three items from the Healthy Days Core Module. Multivariate logistic regression was conducted to assess the relationship between food insecurity, sleep quality, and days with poor mental and physical health.
Setting:
Twenty-two higher education institutions.
Participants:
College students (n 17 686) enrolled at one of twenty-two participating universities.
Results:
Compared with food-secure students, those classified as food insecure (43·4 %) had higher PSQI scores indicating poorer sleep quality (P < 0·0001) and reported more days with poor mental (P < 0·0001) and physical (P < 0·0001) health as well as days when mental and physical health prevented them from completing daily activities (P < 0·0001). Food-insecure students had higher adjusted odds of having poor sleep quality (adjusted OR (AOR): 1·13; 95 % CI 1·12, 1·14), days with poor physical health (AOR: 1·01; 95 % CI 1·01, 1·02), days with poor mental health (AOR: 1·03; 95 % CI 1·02, 1·03) and days when poor mental or physical health prevented them from completing daily activities (AOR: 1·03; 95 % CI 1·02, 1·04).
Conclusions:
College students report high food insecurity which is associated with poor mental and physical health, and sleep quality. Multi-level policy changes and campus wellness programmes are needed to prevent food insecurity and improve student health-related outcomes.
To report our experience of diagnosis, investigation and management in patients who had undergone laryngectomy secondary to previous squamous cell carcinoma, who were subsequently infected with severe acute respiratory syndrome coronavirus-2 during the coronavirus disease 2019 pandemic.
Case reports
Four post-laryngectomy patients with laboratory-proven severe acute respiratory syndrome coronavirus-2 infection were admitted to our institution from 1 March to 1 May 2020. All patients displayed symptoms of coronavirus disease 2019 and underwent investigations, including swab and serum sampling, and chest X-ray where indicated. All were managed conservatively on dedicated coronavirus disease 2019 wards and were discharged without the requirement of higher level care.
Conclusion
It is hypothesised that laryngectomy may offer a protective effect against severe or critical disease in severe acute respiratory syndrome coronavirus-2 infection. We hope sharing our experience will aid all practitioners in the management of this, often intimidating, cohort of patients.