Non-communicable diseases (NCDs), such as diabetes, cardiovascular diseases and cancer, are major global public health concerns. Diet quality—particularly the consumption of ultra-processed foods—has been associated with increased risk of NCDs. Traditional cohort studies are often expensive and logistically complex. The NutriNet-Brasil cohort leverages a web-based approach, offering a cost-effective and practical solution for comprehensive data collection and long-term follow-up.

Recruitments began in January 2020 through mass media, social media campaigns and collaborations with health organisations. Eligible participants are adults (aged ≥18 years) living in Brazil with internet access. Participants complete self-administered online questionnaires covering dietary intake, health status and other health determinants. Dietary assessment is based on the Nova classification system, which categorises foods by their level of processing.

Over 88 000 participants have completed the initial questionnaire. The cohort is predominantly women (79.9%) and highly educated (67.9% had completed higher education). The web-based design enabled the development and application of innovative dietary assessment tools, including the Nova24h and the Nova24hScreener, specifically designed to evaluate food processing levels. These tools have shown good performance in capturing dietary patterns and are central to the cohort’s aim. The online platform facilitates efficient recruitment, data collection and participant retention.

NutriNet-Brasil is pioneering the development of web-based cohort methodologies and instruments tailored to food processing research. Future work includes leveraging collaborations with national and international research centres to conduct multidisciplinary analyses and inform public health policies.

COVID-19 in children is generally of short duration, but some may take longer to recover. This study investigated the time to symptom resolution following SARS-CoV-2 infection among children in a community setting on the outskirts of an urban centre in Brazil.

Prospective cohort study.

This is a community-based cohort of children living in Manguinhos, a favela in Rio de Janeiro. The cohort was followed through home visits and telephone monitoring of symptoms. The analysis focused on symptomatic children from this cohort with confirmed SARS-CoV-2 infection. Recovery time was defined as the interval between the first date with symptoms and the first date without symptoms following a positive SARS-CoV-2 test.

A total of 1276 children (boys and girls aged 2–

COVID-19 recovery time, assessed based on change points on the symptom persistence probability curve (Kaplan-Meier).

Among children who tested positive, 148 (60%) were symptomatic. The median recovery time was 11 days (IQR: 7–16). Two inflection points were identified on the Kaplan-Meier curve: days 16 and 34. Children who were ill during the Omicron wave took longer to recover. More boys became asymptomatic within the first 15 days; about 93% of girls recovered by day 33, and boys were more common among those who recovered in ≥34 days. Children aged 6–

Among children from a vulnerable area in Rio de Janeiro, recovery time was longer than that reported in other countries, with 9.5% of children experiencing persistent symptoms for more than 33 days. These findings are crucial for understanding the implications of COVID-19 in specific socioeconomic contexts and the dynamics of paediatric recovery in community settings.

This study aimed to evaluate the utility of optical sensor-based technology in mitigating the frequency and severity of peripheral intravenous infiltration and/or extravasation (PIVIE) in neonates.

Single-centre, retrospective, observational cohort study.

Tertiary-level neonatal intensive care unit (NICU) (112 cots) at the Women’s Wellness and Research Centre (WWRC), Hamad Medical Corporation (HMC), Doha, Qatar, January 2019–December 2022.

All neonates admitted to the NICU requiring intravenous therapy via a neonatal short peripheral intravenous catheter (n-SPC) were included. Participants were excluded if the insertion was unsuccessful, if they had incomplete data, or if they received intravenous therapy exclusively through alternative vascular access devices.

The study analysed two cohorts representing different clinical practices over two distinct periods. In the conventional cohort (Phase 1, 2019–2020), PIVIE detection relied solely on periodic ‘Touch Look Compare (TLC)’ assessments. In the ivWatch cohort (Phase 2, 2021–2022), continuous optical sensor-based monitoring using the ivWatch system was implemented alongside TLC assessments. This sequential design allowed for a comparison of outcomes between the two phases.

The primary outcomes were the occurrence and severity of PIVIE. Secondary outcomes included the influence of patient demographics, vascular access characteristics, and management details on PIVIE incidence and severity.

Over the 4-year data collection period, 32 713 peripheral intravenous catheters were analysed across two cohorts. PIVIE was the most common reason for unplanned device removal. In the conventional cohort (Phase 1, 2019–2020), 4941 infiltration events were reported (29.9%), compared with 4872 events (30.1%) in the ivWatch cohort (Phase 2, 2021–2022). However, severity measures using the Intravenous Extravasation Grading Scale (IEGS) revealed a marked reduction in severe PIVIE cases, with severe events decreasing from 243 (4.9%) in the conventional cohort to 54 (1.1%) in the ivWatch cohort (p

PIVIE remains a frequent complication in neonatal vascular access. Continuous site monitoring with optical sensor technology was associated with earlier detection of PIVIE events and reduced IEGS severity scores. These findings highlight the potential of integrating sensor-based monitoring with traditional observational methods to improve patient outcomes in neonatal care.

This study aimed to investigate the association between the type and severity of disabilities and depression among adolescents aged 15–17 years living in underdeveloped areas of Indonesia.

Cross-sectional study.

Data were derived from the 2018 Indonesia Basic Health Research, a nationally representative data of Indonesia.

We used information collected from 4811 adolescents aged 15–17 living in underdeveloped areas of Indonesia.

The primary outcome was depression, based on the conditions experienced by respondents during the last 2 weeks.

The analysis showed that 5.65% of adolescents aged 15–17 years living in underdeveloped areas of Indonesia had depressive symptoms. Adolescents with severe physical and psychological disabilities were most at risk, exhibiting significantly higher odds of developing depression (aOR=12.09, 95% CI: 5.41 to 27.03, p0.001). Other significant predictors included female adolescents (aOR=2.18, 95% CI: 1.51 to 3.14, p0.001) and those who had a non-communicable disease (aOR=3.50, 95% CI: 1.00 to 12.18, p=0.049).

These findings highlight the critical need for targeted depression interventions and collaborative efforts to support vulnerable adolescents in underdeveloped areas of Indonesia, particularly those with disabilities, girls and those with non-communicable diseases. Efforts to engage healthcare providers, educators and policymakers to improve access to mental health resources will enhance the overall well-being of vulnerable populations.