Public Health

Background HPV-vaccination prevents HPV-related cancers, but uptake remains suboptimal. In the Netherlands, a catch-up campaign invited 18-27-year-olds for an additional cost-free opportunity to initiate or complete their HPV-vaccination in 2023-2024, which led to 24% of this invited population getting vaccinated. As young adults increasingly seek health information online, understanding online questions, concerns and misinformation in response to the campaign may help improve future vaccination efforts. Supplemental to overall evaluation of the vaccination campaign, we piloted online social listening processes to generate an insight report for Public Health Service (PHS) Amsterdam. Objective This study piloted online social listening processes at the PHS Amsterdam to identify actionable insights into questions, concerns and misinformation surrounding the HPV-vaccination catch-up campaign among young adults. Methods Upon inventory of potential platforms and data sources, a retrospective online social listening analysis was conducted across the platforms Instagram, Facebook, and X, collecting data from PHS, the National Public Health Institute for Public Health and the Environment (RIVM), the Dutch public broadcasting foundation (NOS), and LINDA.meiden sources from January 1, 2023, to June 1, 2024. Publicly available posts, comments, and engagement concerning HPV-vaccination were manually collected, and inductively coded. Themes were assessed for risk, based on expected potential harm and observed reach, and used to develop recommendations. Results A total of 821 posts and 5157 comments were collected and analysed. Ten recurring themes were identified across varying levels of risk. Two themes were classified as high risk: an information gap regarding the effectiveness of HPV-vaccination and concerns about the transparency on HPV-vaccine side effects. Three themes were classified as medium risk: questioning HPV-vaccine effectiveness under certain circumstances, reduced general vaccine trust following COVID-19, and accessibility issues related to vaccination locations and service times. Two themes were classified as neutral risk: questions regarding eligibility criteria for the campaign and calls for broader HIPV-prevention measures. Finally, three low risk themes concerned questions regarding HPV-vaccine brand specifics, campaign choices, and questions about scheduling or rescheduling HPV-appointments. Comments also referred to subsequent information sources, including reliable sources (public health institutes), false narratives and misinformation. Recommendations focused on addressing questions and information gaps (i.e. improving HPV risk perception and providing more detailed HPV-vaccine information), improving communication about HPV-vaccination, and reducing practical barriers to vaccination. Conclusions Manual social listening across selected online sources provided actionable insights into the public discourse during the HPV-vaccination catch-up campaign. Results mostly reflected questions, concerns and information gaps. Although some themes were critical of HPV-vaccination, false narratives and misinformation did not dominate the discourse. Recommendations aim to reduce practical barriers and address information needs. This pilot showed that online social listening can be effectively implemented even with limited resources.

Background: Optimising sampling frames for genomic surveillance of E. coli and Klebsiella may support interventions to mitigate bloodstream infections (BSIs), but approaches to estimating sample size and how these relate to bacterial population diversity at multiple genetic levels (strain/plasmid/antimicrobial resistance genes [ARGs]) are lacking. Methods: Using systematically collected, regionally-stratified, whole genome sequencing data from a 6-month genomic survey of English E. coli/Klebsiella BSI isolates (n=1,939; NEKSUS), we used Bayesian approaches to estimate the sample sizes required to capture genetic diversity at strain- (MLST, fastBAPS clusters), plasmid- and ARG-levels, using two diversity measures: 'coverage' (i.e. proportion of the bacterial population/plasmids/ARGs represented by features observed in the sample), and the number/proportion of unique features observed at varying surveillance sample sizes. Our method is available as a user-friendly R Shiny application, EpiSENTRY (https://01a0c3dd-90d2-e597-58a5-51391a468387.share.connect.posit.cloud/). Findings: Randomly sampling 1,400 E. coli/Klebsiella BSI isolates each achieved [≥]80% coverage of bacterial lineages and ARGs (i.e. capture features constituting [≥]80% of the population) at 95% certainty, but captured lower proportions of unique features (28% MLSTs, 59% fastBAPS clusters, 19% plasmid subcommunities, and 57% ARGs for E. coli; 49%, 87%, 50% and 83% for Klebsiella, respectively). Sample sizes required for 80% coverage of E. coli plasmid populations were higher than MLSTs (1,928 [95% CrI: 1,837-2,025] vs 1,351 [1,230-1,472]), while for Klebsiella, estimates were lower for plasmids (1,115 [1,052-1,181] vs 1,422 [1,331-1,515] for MLSTs). Lower sample sizes adequately captured 80% coverage of fastBAPS clusters and ARGs (649 [575-727] and 27 [23-30], respectively, for E. coli; 113 [84-145] and 83 [72-96] for Klebsiella), due to feature-specific frequency distributions. Klebsiella BSIs were more diverse than E. coli, with sampling 10.9% vs 3.2% of total annual BSIs in England needed to reach 80% MLST coverage. Plasmid populations and Klebsiella MLSTs were region-specific, emphasising the need for regionally-representative sampling. Interpretation: Bayesian analysis facilitates estimates of context-specific genomic surveillance sample sizes. Cost-effective targets for coverage require further optimisation.

Background: The decline of mental health among adolescents in the UK over the past two decades has occurred amidst many societal and technological changes making it difficult to identify drivers of these trends. We aimed to identify which aspect of life showed the most rapid deterioration in satisfaction in the UK since 2009 and which aspects have become increasingly correlated with mental health. Methods: Between 2009 and 2024, 15,829 adolescents aged 10-15 rated their satisfaction with life as well as five aspects of life (family, friends, school, schoolwork, appearance), via the UK Household Longitudinal Study. Population-weighted regressions were used to estimate annual summary statistics on these items (means, proportions) and the relative associations between satisfaction items and socioemotional difficulties, as measured by the Strengths and Difficulties Questionnaire (SDQ). Meta-regressions estimated linear changes over time, with interactions testing for heterogeneity across sexes, age-groups, and household income. Results: Mean satisfaction with life dropped over the 16 years of study (B=-0.028, 95% CI=-0.034, -0.022), as did satisfaction with all five aspects of life. Satisfaction with school declined most rapidly (B=-0.027, 95% CI=-0.034,-0.020), becoming accelerated in the most recent 5-year window (2020-24; B=-0.139, 95% CI=-0.178,-0.099). The proportion of dissatisfied individuals rose most rapidly for schoolwork, particularly for females. Satisfaction with appearance became increasingly associated with general life satisfaction (B=0.009, 95% CI=0.005, 0.013, p<.001) and socioemotional difficulties (B=-0.051, 95% CI=-0.073,-0.029, p<.001) over time. Conclusions: Our findings add to international evidence for academic pressure and school environments as plausible drivers of recent declines in life satisfaction, particularly among female adolescents. Future studies should aim to identify the specific aspects of school life that are influencing adolescent mental health and the impact of existing educational policies on student wellbeing should be evaluated.

Introduction: Vaping public education campaigns are a central prevention strategy for young adults (YAs), but message effectiveness varies widely and formative testing typically evaluates one message attribute at a time. This study examined how four perceptual dimensions, including cognitive engagement, social relevance, emotional arousal, and emotional valence, relate to perceived message effectiveness (PME), and whether multiple combinations of these dimensions correspond to similarly high PME. Methods: In a cross-sectional online message-testing study conducted from March to April 2025, 540 U.S. YAs who vape each evaluated 15 messages randomly sampled from a corpus of 229 text-image vaping public education messages, yielding 8,100 message evaluations. Cross-classified multilevel models estimated associations between each perceptual dimension and PME. An Explainable Boosting Machine probed nonlinear associations, and k-means clustering of high-predicted-PME perceptual configurations identified distinct profiles. Analyses were conducted in 2026. Results: Cognitive engagement (b = 0.20, 95% CI [0.18, 0.22]) and social relevance (b = 0.15, 95% CI [0.13, 0.17]) showed the strongest associations with PME, followed by emotional arousal (b = 0.06, 95% CI [0.04, 0.08]); emotional valence showed no linear association (b = 0.00, 95% CI [-0.02, 0.02]). The Explainable Boosting Machine revealed a U-shaped valence pattern, with higher predicted PME at both the negative and positive ends of the scale. Clustering yielded five distinct perceptual profiles with similarly high predicted PME (4.10-4.25). Conclusions: Multiple perceptual configurations correspond to similarly high PME, supporting a configurational approach to formative message testing rather than a single optimal message formula.

Introduction Cancer incidence is rising rapidly in low- and middle-income countries (LMICs), where diagnostic pathology capacity is constrained. AI applied to routine histopathology could strengthen diagnostic capacity and offer leapfrogging potential by embedding AI into diagnostic systems as they are built up. However, without empirically identifying implementation determinants in LMIC cancer-diagnostic settings, AI solutions risk being poorly aligned with local constraints, limiting impact or exacerbating existing disparities. Methods We conducted an exploratory mixed-methods pilot study across three phases: 1) a structured survey characterising the diagnostic and technical landscape and AI priorities; 2) focus group discussions (FGDs) to inductively identify implementation determinants and 3) a second survey quantifying FGD-derived themes. Twelve physicians were purposively recruited (10 from LMIC, 2 from high-income countries for reference) and findings integrated through narrative triangulation. Results There was substantial heterogeneity in diagnostic and AI infrastructure that did not track consistently with country income classification. H&E staining was universally available, immunohistochemistry capacity was rudimentary at 7 of 10 sites and molecular testing absent or minimal at 6 of 10 sites. Whole-slide-imaging scanners were available at 8 of 10 sites, while graphical processing units, required for efficient AI inference, were available at only 4 of 10 sites. The participants would prioritise use of AI for cancer screening, cancer diagnosis, and biomarker prediction from H&E slides. Six implementation determinants were identified: AI literacy, governance frameworks, funding, evidence generation, clinical deployment, and collaboration. Financial constraints emerged as the dominant barrier across all determinants, and collaboration as an important enabling mechanism. Conclusion AI implementation readiness in LMIC cancer-diagnostic settings is highly heterogeneous and cannot be inferred from income classification, underscoring the need for institution-level assessment. Realising the leapfrogging potential of AI in this context requires coordinated progress across all determinants, with sustainable financing, and collaboration enabling the remaining determinants.

Background: The first thousand days are a sensitive window for child health and social health inequalities. When routine care falls short, parents of young children turn to online sources and, recently, to generative artificial intelligence (AI). Evidence on their concerns, child-health literacy, and AI use is scarce. Objective: To describe health informational needs and concerns, child-health literacy, and use of AI for child-health questions, including differences by parental role and parity, among parents of young children. Methods: In this cross-sectional study, two anonymous self-administered online questionnaires were disseminated through a digital health application between May 12 and June 11, 2026, to French-speaking parents of at least one child aged 0 to 47 months in France. Questionnaire 1 covered unmet information needs, concerns across 16 topics, perceived intra-couple concordance, and confidence in routine care. Questionnaire 2 covered a four-item child-health literacy quiz and AI use (frequency, topics, 12-month trend, barriers, trust conditions, perceived effect on consultations, and disclosure). Results: In total, 12,634 parents responded (Questionnaire 1, n=5,410; Questionnaire 2, n=7,224), mostly mothers (94.6% and 92.9%). Most (61.8%) had searched for information without finding a clear, reliable answer, selecting a median of 4 (Interquartile range [IQR] 3-7) over 16 topics. Leading concerns were sleep (51.3%), nutrition (48.1%), and education (i.e., upbringing and behavior) (47.8%). Mothers were nearly twice as likely as fathers to select accident prevention (26.5% vs 16.3%) and parental mental health (38.7% vs 28.6%); first-time parents selected most topics more often than experienced parents, most markedly dental hygiene (43.8% vs 27.6%). The median child-health literacy score was 3 (IQR 3-4) on a 0-to-4 quiz, with 19.9% of parents scoring 2 or below; tooth-brushing age was the weakest item (68.4% correct). Mothers outscored fathers on every item. More than half of parents (54.2%) had used AI for a child-health question, 11.2% weekly; among those reporting a trend, 68.3% had increased AI use for child-health questions over the year and 6.2% decreased it. The main barriers to AI use were a preference for professionals (55.9%) and reliability concerns (48.7%); trust depended most on medical oversight of the tool (76.6%). AI use appeared additive, with 66.8% reporting no change in healthcare visit frequency. One third (35.5%) had told an AI something shared with neither a professional nor their network, rising to 64.1% among regular users. Conclusions: Parental informational needs were widespread and frequently unmet. AI has become a common and fast-rising source for child-health questions, at times a confidential one, used alongside rather than instead of professionals. Child-health literacy was generally high but uneven, with oral health the clearest gap. Strengths include the sample size and early-generative-AI timing; limitations include the cross-sectional design, self-report, digital-recruitment selection bias, and the small proportion of fathers.

Background: Previous studies indicated that regional fluctuations in COVID-19 impact were associated with socioeconomic, demographic and environmental factors early in the pandemic. It is unclear whether factors associated with regional COVID-19 mortality and SARS-CoV-2 infections changed over the course of the pandemic. Methods: We evaluated the association of ecological factors with municipality-specific COVID-19 mortality in the national population of Austria between January 2020 and June 2023. Analyses were conducted separately per calendar year and pooled across years via random-effects meta-analysis. Outcomes were analysed using univariable and multivariable zero-inflated negative binomial (ZINB) regression, including annually averaged environmental exposome exposure (including air pollution and UV radiation), socioeconomic, demographic and infection dissemination predictors with significance threshold set to p<0.005. Secondary analysis modelled SARS-CoV-2 infections using of negative-binomial model (NB). Two additional approaches for smaller predictor set selection were applied as sensitivity analyses. Results: Within the entire observation period 18,430 COVID-19 deaths were reported. In univariable analyses (pooled RR (99.5% CI)), COVID-19 mortality was significantly associated with the proportion of commuters (0.79 (0.73-0.86)), residents aged 75-84 (1.18 (1.01-1.37)) and [&ge;]85 years (1.29 (1.04-1.60)), residents with at most compulsory education (1.15 (1.02-1.29)), employed residents aged 15-64 (0.89 (0.85-0.93)), and homeowners (0.91 (0.83-0.99)), as well as with precipitation (0.94 (0.89-0.99)) and the average time with a mean temperature of 5-15 C (0.95 (0.90-0.99)). In multivariable analyses the share of population aged 85 or older (1.30 (1.09-1.54)) and home ownership (0.92 (0.87-0.98)) were independently significant. Mortality predictor estimates were relatively stable across pandemic years. Across 5,963,882 documented SARS-CoV-2 infections share of employed in 15- to 64-year-olds (1.01 (1.01-1.02)), part-time employment rate (1.01 (1.00-1.02)) and district level nursing care allowance recipiency (0.97 (0.95-0.98)) were associated with detected infections. Overnight stays, population 85 or older, income, compulsory education or less and air pollution all had multiple significant estimates with opposite directionality, leading to non-significant overall associations. Sensitivity analyses outcomes mirrored main analyses outcomes. Conclusions: Throughout the pandemic in Austria, demographic and socioeconomic factors were associated with COVID-19 mortality and infections, but many associations, especially for infections, were unstable over time. These findings underscore the importance of structural vulnerabilities in epidemic impact.

Background Short-term weather conditions can trigger paediatric hospital admissions, but evidence remains limited on the health relevance of intraday temperature variability, humidity, and precipitation, and generally on which subgroups are most susceptible. Methods We conducted a nationwide case time-series study of Swedish children and adolescents aged 6-18 years using linked register data. Associations between daily mean temperature, intraday temperature variability, relative humidity, and precipitation and inpatient hospitalisations were estimated with Poisson regression (individual fixed effects) combined with distributed lag non-linear models over lags 0-21 days. Outcomes included all-cause hospitalisation and cause-specific admissions. Effect modification was examined by sex, age group, socioeconomic indicators, region, and calendar periods. Findings Among 4,638,247 children and adolescents in the cohort, 1,070,702 (23.1%) experienced at least one inpatient hospitalisation, contributing 1,736,169 hospitalisation events. All-cause hospitalisation increased with higher mean temperature, with risk highest at hot extremes. Intraday temperature variability showed a U-shaped association, with higher rates at both lowest and highest exposure levels. Relative humidity showed no association with hospitalisation risk. Higher precipitation was associated with increased hospitalisation risk, but estimates at high rainfall levels were imprecise. Stratified analyses indicated modest differences by sex and socioeconomic indicators, but clearer heterogeneity by age and region, with the highest risks among younger children and in East Sweden; associations varied across calendar periods and were imprecise for most cause-specific outcomes. Sensitivity analyses mostly showed that the main curve shapes were robust. Interpretation Short-term exposure to hot temperatures, both low and high intraday temperature variability, and higher levels of precipitation were associated with an increased risk of all-cause hospitalisation among children in Sweden, with clearer variation by age group and region than by sex or socioeconomic position. These findings support targeting paediatric climate-health preparedness and early-warning systems toward younger children and higher-risk regions such as eastern Sweden and extending such systems beyond mean temperature to include intraday temperature variability, a distinct, currently overlooked driver of risk that heat-focused systems are not designed to capture. Fundings This research was funded by Formas the Swedish Research Council for Sustainable Development (grant no. 2023-01774 and 2022-01845) and the Swedish Research Council (2025-02804 and 2022-06599).

Background: Disaster medicine has been a formal curricular recommendation in German health professions education since 2006, and comparable recommendations exist internationally. Evidence on implementation is confined almost entirely to human medicine, rests on faculty self-reports or small student samples, and measures delivery rather than retention. Whether curricular exposure is associated with willingness to serve has not been adequately examined in interprofessional samples. Objective: We aimed to characterize disaster medicine education across 7 health professions in Germany, distinguishing delivery from retention, to identify profession-specific gaps and training priorities, and to examine how educational and experiential factors relate to willingness to serve. Methods: We conducted an anonymous nationwide online cross-sectional survey of students and trainees across 7 health professions in Germany between July 9 and August 25, 2026, recruited through institutional distribution lists. The interprofessionally developed instrument comprised 48 items. We assessed delivery and retention of 12 disaster medicine topics (4-point scale), self-rated confidence in 22 clinical and nursing skills (6-point scale), desired content, formats, motivators and barriers, and formal and spontaneous willingness. For all rating scales, higher values denote the more favorable level. We derived a delivery-retention gap and a want-deficit index, examined the dimensional structure of the competence battery, tested for differential item functioning by prior civil protection engagement, and modeled willingness with a cumulative link model. Results: Of 8133 respondents (completion rate 87.5%), 33.1% had never been taught disaster medicine and 25.0% only in passing; 22.1% had comprehensive teaching including practical exercises. Across the 12 topics, the proportion able to retrieve content confidently never exceeded 23.9%; the delivery-retention gap reached 47.3 percentage points. More than half (54.6%) had never taken part in a practical exercise. Competence formed more than 1 dimension: 18 acute-technical items loaded 0.54-0.86 on the first factor, 4 relational and nursing items 0.14-0.28. Prior civil protection engagement was associated with higher confidence on every acute-technical item (Cliff delta 0.26-0.55) and lower confidence on all 4 relational items (-0.22 to -0.09). Willingness was high and homogeneous across groups (78.7% formal, 84.1% spontaneous), whereas competence varied by about 2 scale points. Adjusted, active civil protection engagement (odds ratio 2.49, 95% CI 2.12-2.94) and practical exercise experience (odds ratio 1.78, 95% CI 1.54-2.05) were the strongest predictors; curricular exposure contributed weakly (odds ratio 1.06 per SD, 95% CI 0.99-1.14). Conclusions: Two decades after the curricular recommendation, disaster medicine is largely absent from health professions education in Germany, and what is delivered is not retained. Willingness is nevertheless high and largely decoupled from competence, so qualification and recruitment require separate instruments. Curricula should be prioritized by the coincidence of demand and deficit rather than by coverage, built for retention, and should treat relational and nursing competence as a distinct learning objective.

Background Clostridioides difficile infections (CDI) continue to cause substantial morbidity and mortality, with increasing incidence in some countries post-COVID-19. Recurrence affects 10-20% of CDI patients: whether risk factors have changed over time is unclear, particularly post-COVID-19. Methods Using electronic health records from hospitals in Oxfordshire, UK, including results from community samples, we estimated the incidence of CDI recurrence across different calendar periods between 2000-2025. To investigate whether risk factors had changed over time, we used interaction tests within multivariable Fine-Gray regression models (modelling death as a competing risk), using backwards elimination, starting from 39 risk factors identified from the literature. Results Recurrence occurred within 1-year in 12.6%, 12.5%, 10.8% and 13.1% of CDI cases in "high virulence" 2003-2008 (n=527), "post-high virulence" 2008-2012 (n=252), "pre-pandemic" 2012-2020 (n=143) and "post-pandemic" 2020-2025 (n=110) periods respectively. The only factor with evidence of variation in its association with recurrence over time was surveillance classification (heterogeneity p=0.019; others p>0.05). Compared with hospital-onset cases, community-onset community-associated cases had increasing recurrence risks over time (subdistribution hazard ratios (SHRs)=2.05 (95% CI 1.27-3.31) in "post-pandemic" and 1.86 (1.16-2.98) in "pre-pandemic"), especially compared to the "high virulence" era of the early 2000s (SHR=0.81 (0.56-1.16)). This heterogeneity persisted after adjusting for baseline blood tests as a marker of severity (heterogeneity p=0.022). Conclusions Compared with hospital-onset hospital-associated cases, recurrence risks increased for community-onset community-associated CDI cases over time. Recurrence is a key contributor to overall CDI incidence and the underlying causes of increasing risks with community-onset community-associated cases should be explored further.

Background: Artificial intelligence (AI) is increasingly used in healthcare, but data on its real-world use and perceptions among obstetricians and gynecologists remain limited. Objectives: To assess familiarity, use, perceptions, and expectations regarding AI among physicians practicing obstetrics and gynecology in France. Study Design: We conducted a cross-sectional survey between June 2 and July 30, 2025, mainly distributed through professional organizations or associations and social media. Participation was voluntary and self-selected. AI use was defined as any use of an AI tool in routine clinical practice, regardless of type or frequency. Comparisons were made between AI users and non-users and between junior and senior physicians. Results: Among 469 respondents, representing approximately 5% of the target population, 199 of 466 (42.7%) reported AI use in practice; three respondents were excluded from this analysis because of discordant questionnaire responses. AI use was associated with male gender and professional status, with residents more represented among users. Junior physicians reported greater AI use than senior physicians and expressed greater concern regarding medical confidentiality. Current applications primarily involved administrative tasks, medical writing, literature retrieval, and translation; anticipated future uses centered on clinical decision support and medical data interpretation. Perceptions of several AI applications differed between groups. Conclusions: AI was reported to be used by a substantial proportion of respondents, primarily for supportive and informational tasks. These findings support further evaluation of training, validation, governance, and safe implementation of AI in obstetrics and gynecology.

Introduction:Although the COVID-19 pandemic clearly showed the potential consequences of a world without vaccinations, vaccine hesitancy is likely to be more pronounced in the post-COVID-19 era. The introduction of human papillomavirus (HPV) vaccines in this context is likely to raise particular concerns. In Tunisia, decision-makers have prioritized the introduction of HPV vaccine into the immunization schedule. This study assessed individual barriers and facilitators to HPV vaccine acceptability in Tunisia, with the aim of guiding an effective communication strategy for HPV vaccination campaigns in Tunisia and neighboring countries in a post-pandemic context.Methods: Using a qualitative design, we conducted 14 focus groups (FG) with healthcare professionals (HCP) (N=32) and community representatives (CR) (N=89) in five regions of the country. The discussion followed a semi-structured guide designed on the basis of vaccine hesitancy determinants matrix. Transcripts were deductively analyzed according to the 'social processes' and 'thinking and feeling' of the behavioural and social drivers (BeSD) Framework. Inductive approach was used to analyze participants suggestions for promoting HPV vaccination.Results:The FG analysis demonstrated that the historically strong trust in vaccination in Tunisia has weakened after the COVID-19 pandemic. Mistrust of health system and experts, the pandemic management and vaccine mandates measures had negative influence on the vaccine attitudes in a post pandemic Tunisian context. Persistent concerns about COVID-19 vaccines safety were frequently intertwined with widespread distrust of pharmaceutical companies and their profit motives, perceived as imposing inequitable access and lower-quality vaccines on countries in the Global South. These concerns fueled confusion about vaccines side effects. The weakening of immunity was recurring, as well as memory issues, impacts on fertility, and sudden deaths. Regarding information, our research revealed that although digital platforms were perceived as widely used, a significant part of the population interviewed considered public TV channel, as the most reliable source of health information.Conclusions: Emphasizing how the pandemic has shaped individual and collective perceptions and attitudes toward vaccination, our findings underline the importance of leveraging lessons learned from the pandemic to develop a context tailored and coherent communication strategy for successful HPV vaccine implementation.

Objective This study aimed at analyzing changes in the prevalence of excessive internet use and to analyze its associations with mental and cognitive health problems among adolescents. Method We used repeated cross-sectional data from the School Health Promotion study, a population-based nationwide classroom survey in Finland. All adolescents in grades 8-11 were invited, with a total of 602,226 responses in 2017-2023. Excessive internet use was measured with the five-item Excessive Internet Use Scale covering core behavioral addiction symptoms. Depressive symptoms, generalized anxiety, and social anxiety were measured with validated questionnaires. Problems in cognitive functioning were assessed with one-item indicators. Analyses were done with Chi-square tests and logistic regression. Results From 2017 to 2023, the prevalence of excessive internet use increased, especially among girls. The increasing trend was significantly (p<0.001) steeper among girls, with the OR for time (in years) being 1.12 in grades 8-9 and 1.14 in grades 10-11, while among boys the corresponding ORs were 1.00 and 1.04, respectively. Excessive internet use associated with short sleep, depressive, generalized anxiety, and social anxiety symptoms (ORs between 1.73-2.42 in boys; 1.92-2.26 in girls; p<0.001) and with difficulties in tasks requiring reading, writing, and mathematics, and difficulties in concentrating (ORs 1.84-2.31 in boys; 1.83-1.98 in girls; p<0.001). Conclusion The prevalence of excessive internet use showed an increasing trend, especially among girls. The associations of excessive internet use with mental health symptoms and cognitive challenges were clear.

Introduction Reliable, well-maintained laboratory equipment is essential for timely, accurate and reliable laboratory results for patient care, surveillance, and health system resilience. Tanzania implemented the Standard Medical Laboratory Equipment Guideline (SMLEG-2018) to harmonise procurement and improve efficiency across a tiered laboratory system and network. However, equipment functionality gaps remain a critical challenge for healthcare delivery. This study determined the functionality status of standardised laboratory analysers in Tanzania mainland and identified the drivers of non-functionality. Methods We conducted a facility-based cross-sectional study to identify the causes of non-functionality of standardised chemistry, haematology, and urine analysers across mainland Tanzania. We assessed 3,044 analysers and used Pareto analysis to identify the primary drivers of non-functionality. Results Of the 3,044 standardised analysers assessed, 987 (32.4%) chemistry 1,308 (43.0%) haematology, and 749 (24.6%) urine) assessed; 397 (13.0%) were non-functional. Proportionally, urine analysers were the most non-functional (n=176/749, 23.5%), followed by chemistry (n=135/987, 13.7%), and haematology (n=86/1308, 6.6%) analysers, p<0.001. Urine analysers had significantly higher non-functional equipment (23.5%), followed by Chemistry analysers (13.7%), than Haematology analysers (6.6%), p<0.001. Equipment breakdown was the leading cause of non-functionality, accounting for 70.9% (61/86), 70.5% (124/176) and 60.0% (81/135) of the non-functional haematology, urine and chemistry analysers, respectively, among all causes identified for each analyser type. Conclusion Although the SMLEG 2018 implementation identified broad coverage of functional standardised laboratory equipment, persistent equipment breakdowns of more than 10% highlight a systemic, concerning gap that requires immediate corrective action to sustain high performance. Strengthening preventive maintenance, timely repair services and sustainable equipment lifecycle planning is critical to sustaining quality laboratory services for robust preventive and curative care.

Objectives: Heatwaves drive surges in acute care demand, yet heat-health action plans (HHAPs) lack tools to scale emergency care responses. This study validated a forecasting tool for heatwave-related emergency department (ED) demand across four clusters comprising the emergency care network of Ticino Canton, Switzerland. Methods: This retrospective, ecological, time-series study modeled daily mean temperature and ED presentations using a distributed lag non-linear model framework with autoregressive and calendar adjustment components. The model was trained on summers (June-August) 2016-2024 and tested on summer 2025, defining heatwaves as daily mean temperature >25 {degrees}C for [&ge;]3 consecutive days. Results: A non-linear temperature-demand association was shown across the clusters, with ED visits increasing at higher temperatures. Model fit varied across clusters (R2 0.389-0.672), and the reference model consistently outperformed naive baselines. During two heatwaves in 2025, prediction errors remained within acceptable ranges. Baseline demand, heatwave occurrence, and model performance varied substantially within the canton. Conclusions: These findings have implications for the design of HHAPs, suggesting that emergency care preparedness should rely on locally calibrated demand forecast rather than standardized activation protocols.

Gamete donation may widen access to assisted reproductive technology, but donor gametes remain difficult to obtain in Ghana. This institution-based cross-sectional survey assessed knowledge, attitudes and willingness to donate among 380 undergraduate students at Ho Technical University. The sample was allocated proportionately across 24 strata defined by six faculties and four academic levels; within each stratum, students who were present during scheduled classes were recruited consecutively. Data were collected using a self-administered questionnaire and analysed using descriptive statistics, exact tests and exploratory logistic regression. Although 88.2% of participants had heard of gamete donation and 72.4% supported it, only 42.1% said they would donate if approached. Among the 220 participants who were unwilling, 210 (95.5%) selected the response that donation felt wrong to them. Participants who perceived societal attitudes as positive had higher odds of reported willingness than those who perceived them as negative (adjusted odds ratio [aOR] 3.08, 95% confidence interval [CI] 1.34-7.08). Belief that donation could exhaust ones gametes was associated with lower odds of willingness (aOR 0.27, 95% CI 0.15-0.48). The conditional statement that payment would increase willingness was also associated with direct willingness (aOR 7.16, 95% CI 4.25-12.06), but the two measures overlapped conceptually. The findings identify fertility misconceptions, concerns about donation and differing views on compensation that should be considered when developing donor information, counselling and protection measures.

Humans often communicate meaningfully during existential transition, yet the structure of final communications before death remains poorly understood. Suicide notes provide rare behavioral records, but two questions remain unresolved: whether note-leavers represent the broader population of suicide decedents, and whether notes follow systematic narrative structures. We analyzed a nationwide police-investigated registry of 102,922 suicide deaths in South Korea from 2013 to 2020, including 38,044 notes. Note-leavers differed systematically from non-leavers across demographic, situational and behavioral characteristics, indicating that note production reflects a selective communicative act within the suicidal process. Modeling notes as sequential narratives, we identified consistent patterns across opening, middle and closing sections, organized around apology and shame, love and gratitude, and practical directives concerning post-mortem affairs. Emotional trajectories also varied by age and gender. These findings provide population-scale evidence that suicide notes are structured final communications shaped by social relationships and demographic context under extreme circumstances.

Social media influencers serve as a key source of health information for adolescents but often lack expertise, have commercial motives, and may spread misleading or harmful content. This study examines the health-related content shared by influencers, the prevalence of advertising, and how adolescents evaluate potential benefits and risks. Using a mixed-methods approach, we employed a quantitative descriptive method involving citizen science (Study 1) and a qualitative content analysis (Study 2). In Study 1, 336 adolescents from 16 Austrian schools documented and categorized 2,147 posts from 255 influencers. The most common topics included sports and fitness (50.5%), beauty ideals (29.6%), food and nutrition (27.6%), and cooking (19.1%). Although advertisements appeared in 41.5% of posts, adolescents rated 60.4% of them as beneficial and only 4.5% as harmful. The qualitative analysis of a subsample of the 90 most prominent posts showed that adolescents appreciated motivational aspects (e.g., healthy eating) but often overlooked problematic elements such as misleading claims, sexualized body ideals, and the linking of health messages to commercial products. Enhancing persuasion knowledge and critical thinking through education, along with stricter regulation of harmful products, is crucial to safeguarding youth online.

Those leaving military service frequently present with complex psychosocial problems, but military veterans are often reluctant to engage with statutory healthcare provision. Specialist mental health services have recently been established in the UK to specifically support military veterans with their psychological and social wellbeing. We explored the treatment and support provided by the London branch of a military veterans mental health and wellbeing service (Op COURAGE) from the perspectives of the multidisciplinary service team and their partner organisations and collaborators. We conducted semi-structured interviews with multidisciplinary service staff and members of their partner organisations and external agencies. Qualitative data were analysed using framework analysis.?A total of 16 professionals participated in this study, comprising five service staff, eight collaborators and three partner agency participants. Five themes with subthemes were identified, including (1) blended networks, (2) staff inclusivity and sensitivity, (3) spectrum of psychosocial interventions and holistic support, (4) referral mechanisms, and (5) (in)visibility of the service and advertising. Our evaluation highlighted the advantages of a multidisciplinary team and collaborative partnerships to meet the psychosocial needs of veteran and their significant others. We have proposed that service improvement could include increasing advertisement about this specialist service, deepening knowledge about veterans among staff and further involving veterans and key stakeholders in service decisions.

Objectives: Antimicrobial resistance (AMR) is no longer a future health problem but rather a present public health crisis. For over a decade, national AMR awareness initiatives have been undertaken in Tanzania to implement National Action Plans (NAPs). However, the assessment of whether these initiatives have reached the target population is still limited. This study evaluated physical reach, public perception and community participation in national AMR awareness campaigns in two regions in Tanzania. Methodology: This is a quantitative, community based, cross sectional study in Dar es Salaam and Mwanza regions, Tanzania. The multistage technique was used to sample 2,672 questionnaire respondents. Participant characteristics and perceptions of the campaign were summarised using descriptive statistics. Multivariable logistic and Firth regression were used to establish predictors of high AMR campaign perception and physical campaign reach. Results: Only 81 (3.03%) respondents reported being reached by AMR awareness physical campaigns. Physical reach was strongly linked with high education and skilled occupation. Respondents in Mwanza were less likely to be reached by campaigns compared to Dar es Salaam. Despite limited physical reach, the overall perception of the campaigns was positive. The majority of the respondents agreed on the importance of community involvement (91.6%), AMR education should be brought into schools (98.9%), believed the campaign messages were accurate (79.6%) and would like to get involved with future campaigns (91.4%). Higher odds for favourable perception were found to be independently associated with physical campaign reach (AOR=2.77, 95% CI: 1.40 to 5.49). Conclusions: The Promotion of AMR awareness campaigns in Tanzania seems to be well accepted by the public despite limited reach. Future campaigns need to shift away from one off activities and towards ongoing and inclusive community engagement, leveraging schools, community leaders, community based structures, and systematically tracking reach and behaviours.