Japanese encephalitis virus (JEV) is a mosquito-borne flavivirus that causes encephalitis and other morbidity in Southeast Asia. Since February 2022, geographically dispersed JEV human, animal and vector detections occurred on the Australian mainland for the first time. This study will determine the prevalence of JEV-specific antibodies in human blood with a focus on populations at high risk of JEV exposure and determine risk factors associated with JEV seropositivity by location, age, occupation and other factors.

Samples are collected using two approaches: from routine blood donors (4153 samples), and active collections targeting high-risk populations (convenience sampling). Consent-based sampling for the latter includes a participant questionnaire on demographic, vaccination and exposure data. Samples are tested for JEV-specific total antibody using a defined epitope-blocking ELISA, and total antibody to Australian endemic flaviviruses Murray Valley encephalitis and Kunjin viruses.

Two analytic approaches will occur: descriptive estimates of seroprevalence and multivariable logistic regression using Bayesian hierarchical models. Descriptive analyses will include unadjusted analysis of raw data with exclusions for JEV-endemic country of birth, travel to JEV-endemic countries, prior JEV-vaccination, and sex-standardised and age-standardised analyses. Multivariable logistic regression will determine which risk factors are associated with JEV seropositivity likely due to recent transmission within Australia and the relative contribution of each factor when accounting for effects within the model.

National Mutual Acceptance ethical approval was obtained from the Sydney Children’s Hospitals Network Human Research Ethics Committee (HREC). Local approvals were sought in each jurisdiction. Ethical approval was also obtained from the Australian Red Cross Lifeblood HREC.

Findings will be communicated to participants and their communities, and human and animal health stakeholders and policy-makers iteratively and after final analyses. Understanding human infection rates will inform procurement and targeted allocation of limited JEV vaccine, and public health strategies and communication campaigns, to at-risk populations.

To define macro symptoms of long COVID and to identify predictive factors, with the aim of preventing the development of the long COVID syndrome.

A single-centre longitudinal prospective cohort study conducted from May 2020 to October 2022.

The study was conducted at Luigi Sacco University Hospital in Milan (Italy). In May 2020, we activated the ARCOVID (Ambulatorio Rivalutazione COVID) outpatient service for the follow-up of long COVID.

Hospitalised and non-hospitalised patients previously affected by COVID-19 were either referred by specialists or general practitioners or self-referred.

During the first visit, a set of questions investigated the presence and the duration of 11 symptoms (palpitations, amnesia, headache, anxiety/panic, insomnia, loss of smell, loss of taste, dyspnoea, asthenia, myalgia and telogen effluvium). The follow-up has continued until the present time, by sending email questionnaires every 3 months to monitor symptoms and health-related quality of life.

Measurement of synthetic scores (aggregation of symptoms based on occurrence and duration) that may reveal the presence of long COVID in different clinical macro symptoms. To this end, a mixed supervised and empirical strategy was adopted. Moreover, we aimed to identify predictive factors for post-COVID-19 macro symptoms.

In the first and second waves of COVID-19, 575 and 793 patients (respectively) were enrolled. Three different post-COVID-19 macro symptoms (neurological, sensorial and physical) were identified. We found significant associations between post-COVID-19 symptoms and (1) the patients’ comorbidities, and (2) the medications used during the COVID-19 acute phase. ACE inhibitors (OR=2.039, 95% CI: 1.095 to 3.892), inhaled steroids (OR=4.08, 95% CI: 1.17 to 19.19) and COVID therapies were associated with increased incidence of the neurological macro symptoms. Age (OR=1.02, 95% CI: 1.01 to 1.04), COVID-19 severity (OR=0.42, 95% CI: 0.21 to 0.82), number of comorbidities (OR=1.22, 95% CI: 1.01 to 1.5), metabolic (OR=2.52, 95% CI: 1.25 to 5.27), pulmonary (OR=1.87, 95% CI: 1.10 to 3.32) and autoimmune diseases (OR=4.57, 95% CI: 1.57 to 19.41) increased the risk of the physical macro symptoms.

Being male was the unique protective factor in both waves. Other factors reflected different medical behaviours and the impact of comorbidities. Evidence of the effect of therapies adds valuable information that may drive future medical choices.

Longitudinal studies can provide timely and accurate information to evaluate and inform COVID-19 control and mitigation strategies and future pandemic preparedness. The Optimise Study is a multidisciplinary research platform established in the Australian state of Victoria in September 2020 to collect epidemiological, social, psychological and behavioural data from priority populations. It aims to understand changing public attitudes, behaviours and experiences of COVID-19 and inform epidemic modelling and support responsive government policy.

This protocol paper describes the data collection procedures for the Optimise Study, an ongoing longitudinal cohort of ~1000 Victorian adults and their social networks. Participants are recruited using snowball sampling with a set of seeds and two waves of snowball recruitment. Seeds are purposively selected from priority groups, including recent COVID-19 cases and close contacts and people at heightened risk of infection and/or adverse outcomes of COVID-19 infection and/or public health measures. Participants complete a schedule of monthly quantitative surveys and daily diaries for up to 24 months, plus additional surveys annually for up to 48 months. Cohort participants are recruited for qualitative interviews at key time points to enable in-depth exploration of people’s lived experiences. Separately, community representatives are invited to participate in community engagement groups, which review and interpret research findings to inform policy and practice recommendations.

The Optimise longitudinal cohort and qualitative interviews are approved by the Alfred Hospital Human Research Ethics Committee (# 333/20). The Optimise Study CEG is approved by the La Trobe University Human Ethics Committee (# HEC20532). All participants provide informed verbal consent to enter the cohort, with additional consent provided prior to any of the sub studies. Study findings will be disseminated through public website (https://optimisecovid.com.au/study-findings/) and through peer-reviewed publications.

NCT05323799.

The clinical assessment of Parkinson’s disease (PD) symptoms can present reliability issues and, with visits typically spaced apart 6 months, can hardly capture their frequent variability. Smartphones and smartwatches along with signal processing and machine learning can facilitate frequent, remote, reliable and objective assessments of PD from patients’ homes.

To investigate the feasibility, compliance and user experience of passively and actively measuring symptoms from home environments using data from sensors embedded in smartphones and a wrist-wearable device.

In an ongoing clinical feasibility study, participants with a confirmed PD diagnosis are being recruited. Participants perform activity tests, including Timed Up and Go (TUG), tremor, finger tapping, drawing and vocalisation, once a week for 2 months using the Mobistudy smartphone app in their homes. Concurrently, participants wear the GENEActiv wrist device for 28 days to measure actigraphy continuously. In addition to using sensors, participants complete the Beck’s Depression Inventory, Non-Motor Symptoms Questionnaire (NMSQuest) and Parkinson’s Disease Questionnaire (PDQ-8) questionnaires at baseline, at 1 month and at the end of the study. Sleep disorders are assessed through the Parkinson’s Disease Sleep Scale-2 questionnaire (weekly) and a custom sleep quality daily questionnaire. User experience questionnaires, Technology Acceptance Model and User Version of the Mobile Application Rating Scale, are delivered at 1 month. Clinical assessment (Movement Disorder Society-Unified Parkinson Disease Rating Scale (MDS-UPDRS)) is performed at enrollment and the 2-month follow-up visit. During visits, a TUG test is performed using the smartphone and the G-Walk motion sensor as reference device. Signal processing and machine learning techniques will be employed to analyse the data collected from Mobistudy app and the GENEActiv and correlate them with the MDS-UPDRS. Compliance and user aspects will be informing the long-term feasibility.

The study received ethical approval by the Swedish Ethical Review Authority (Etikprövningsmyndigheten), with application number 2022-02885-01. Results will be reported in peer-reviewed journals and conferences. Results will be shared with the study participants.

The study evaluated the association of academic environment, lifestyle, sense of coherence (SOC) and social support with self-reported mental health status among dental students.

Secondary analysis of data from a cross-sectional, questionnaire-based survey conducted from August to October 2018.

Dental school of a public-funded university in the south-eastern region of Brazil.

233 undergraduate dental students recruited across all years of the course.

Socioeconomic and demographic characteristics, city of origin and student’s academic semester were obtained through self-completed questionnaires. Perception of the academic environment (Dundee Ready Education Environment Measure (DREEM)), individual lifestyle (Individual Lifestyle Profile Questionnaire (ILPQ)), SOC (SOC Scale (SOC-13)), social support (Medical Outcomes Study Scale (MOS)), and depression, anxiety and stress (Depression, Anxiety and Stress Scale-21 (DASS-21)) were assessed using validated instruments. The relationships between variables were investigated through multivariable negative binomial regression to obtain the rate ratios (RRs) and 95% CIs.

Female sex was associated with greater scores of anxiety (RR 1.74, 95% CI 1.10 to 1.97) and stress (RR 1.52, 95% CI 1.12 to 2.06). Students who perceived a better academic environment and those reporting a greater SOC had a lower probability of depression, anxiety and stress. Furthermore, a favourable lifestyle was associated with lower depression scores (RR 0.99, 95% CI 0.97 to 0.99). Social support did not remain associated with depression, anxiety and stress after adjustment.

The present findings suggest that self-reported mental health status is associated with students’ sex, academic environment, SOC and lifestyle. Enhancing the educational environment and SOC, and promoting a healthy lifestyle may improve the psychological health of dental students.

Photobiomodulation (PBM) using low-level laser can affect tissue repair mechanisms and seems promising in reducing pain intensity. However, few studies support the effectiveness of PBM on postpartum period complications, such as nipple and/or perineal trauma and pain, probably due to the low doses used. The primary objective of this study is to analyse the effectiveness of PBM on pain intensity in the nipple and perineal trauma in women in the immediate postpartum period. Secondary objectives are to evaluate the effect on tissue healing and the women’s satisfaction.

A double-blind, multicentre, parallel-group, randomised controlled trial will be performed in two public referral maternity hospitals in Brazil with 120 participants, divided into two arms: 60 participants in the nipple trauma arm and 60 participants in the perineal trauma arm. Participants will be women in the immediate postpartum period, who present with nipple trauma or perineal trauma and report pain intensity greater than or equal to 4 points on the Numerical Rating Scale for Pain. Block randomisation will be performed, followed by blinding allocation. In the experimental group, one application of PBM will be performed between 6 hours and 36 hours after birth. For the sham group, the simulation will be carried out without triggering energy. Both participants and the research evaluator will be blinded to the allocation group. Intention-to-treat method and the between-group and within-group outcome measures analysis will be performed.

This research protocol was approved by the Research Ethics Committees of the University of Campinas, Brazil, and of the School Maternity Assis Chateaubriand, Brazil (numbers CAAE: 59400922.1.1001.5404; 59400922.1.3001.5050). Participants will be required to sign the informed consent form to participate. Results will be disseminated to the health science community.

Brazilian Registry of Clinical Trials (RBR-2qm8jrp).

This review explored the literature on the use of social media in recruiting young people, aged 13–18 years, to mental health research. It aimed to identify barriers and facilitators to recruitment and strategies to improve participation in future research.

Scoping review.

Articles published between January 2011 and February 2023 were searched for on PubMed, Scopus, Medline (via EBSCOhost) and Cochrane Library databases.

Studies that outlined social media as a recruitment method and recruited participants aged 13–18 years.

Data was extracted by two reviewers independently and cross-checked by a third reviewer. Data on study design, aims, participants, recruitment methods and findings related specifically to social media as a recruitment tool were collected.

24 journal articles met the inclusion criteria. Studies were predominantly surveys (n=13) conducted in the USA (n=16) recruiting via Facebook (n=16) and/or Instagram (n=14). Only nine of the included articles provided a summary of success and reviewed the efficacy of social media recruitment for young people in mental health research. Type of advertisement, the language used, time of day and the use of keywords were all found to be factors that may influence the success of recruitment through social media; however, as these are based on findings from a small number of studies, such potential influences require further investigation.

Social media recruitment can be a successful method for recruiting young people to mental health research. Further research is needed into recruiting socioeconomically marginalised groups using this method, as well as the effectiveness of new social media platforms.

Open Science Framework Registry (https://osf.io/mak75/).

Current formulations of ready-to-use therapeutic foods (RUTFs) to treat severe acute malnutrition (SAM) in children focus on nutrient density and quantity. Less attention is given to foods targeting gut microbiota metabolism and mucosal barrier functions. Heat-stabilised rice bran contains essential nutrients, prebiotics, vitamins and unique phytochemicals that have demonstrated favourable bioactivity to modulate gut microbiota composition and mucosal immunity. This study seeks to examine the impact of RUTF with rice bran on the microbiota during SAM treatment, recovery and post-treatment growth outcomes in Jember, Indonesia. Findings are expected to provide insights into rice bran as a novel food ingredient to improve SAM treatment outcomes.

A total of 200 children aged 6–59 months with uncomplicated SAM (weight-for-height z-scores (WHZ)

The findings of this trial will be submitted to peer-reviewed journals and will be presented at relevant conferences. Ethics approval obtained from the Medical and Health Research Ethical Committee at the Faculty of Medicine, Public Health and Nursing, Universitas Gadjah Madain Yogyakarta Ref. No.: KE/FK/0546/EC/2022 and KE/FK/0703/EC/2023 and from Colorado State University IRB#1823, OHRP FWA00000647.

NCT05319717.

Atrial fibrillation (AF) is a major risk factor for ischaemic stroke and transient ischaemic attack (TIA), and AF detection can be challenged by asymptomatic and paroxysmal presentation. Long-term ECG monitoring after ischaemic stroke or TIA is recommended by all major societies in cardiology and cerebrovascular medicine as a secondary prophylactic measure. However, data on stroke reduction are lacking, and the recommendations show significant diversity.

AF SPICE is a multicentre, national, investigator-initiated, randomised, parallel-group, register-based trial comparing extended ECG monitoring versus standard ECG monitoring in patients admitted with ischaemic stroke or TIA, with a composite endpoint of stroke, all-cause-mortality and intracerebral bleeding. Patients aged ≥70 years without previous AF will be randomised 1:1 to control (standard ECG monitoring) or intervention (extended ECG monitoring). In the control arm, patients will undergo 48±24 hours (ie, a range of 24–72 hours) of continuous ECG monitoring according to national recommendations. In the intervention arm, patients will undergo 14+14 days of continuous ECG monitoring 3 months apart using an ECG patch device, which will provide an easy-accessed, well-tolerated 14-day continuous ECG recording. All ECG patch recordings will be read in a core facility. In cases of AF detection, oral anticoagulation will be recommended if not contraindicated. A pilot phase has been concluded in 2022, which will transcend into the main trial during 2023–2026, including approximately 30 stroke units. The sample size was calculated to be 3262 patients. The primary outcome will be collected from register data during a 36-month follow-up.

Ethical approval has been provided by the Swedish Ethical Review Authority, reference 2021–02770. The trial will be conducted according to the ethical principles of the Declaration of Helsinki and national regulatory standards. Positive results from the study have the potential for rapid dissemination in clinical practice.

NCT05134454.

To describe the 5 year work status in patients referred for suspected work-related common mental disorders. To develop a prognostic model.

Register-based nationwide longitudinal follow-up study.

All departments of occupational medicine in Denmark.

17 822 patients aged 18–67 years, seen for the first time at a Department of Occupational Medicine in Denmark from 2000 to 2013 and diagnosed with stress, depression, post-traumatic stress disorder, anxiety or other mental disorders.

All patients were seen for diagnostic assessment and causal evaluation of the work-relatedness of their disorders. Some departments offered patients with stress disorders psychological treatment, which, however, was not organised according to patient selection or type of treatment.

Register data were collected for 5 year periods before and after the patients’ first assessment at a department. Weekly percentages of patients are presented according to work status. The outcome in the prognostic model was a high Work Participation Score (ie, working>75% of potential work weeks/year) at 5 year follow-up.

For all subgroups of patients, a high proportion were working (>75%) 1–5 years before assessment, and all experienced a large reduction in work status at time of assessment. At 1 year follow-up, almost 60% of patients with stress were working, whereas in the other patient subgroups, less than 40% were working. In the following years, practically no increase was observed in the percentage of patients working in any of the subgroups. Based on these 5 year follow-up data, we developed a work participation model with only moderate discrimination and calibration.

In Denmark, not all return to previous work status 5 years after a referral due to a suspected work-related common mental disorder. We developed a prognostic model with only moderate discrimination and calibration for long-term work participation after suggested work-related common mental disorders.