The Lancet Regional Health - Europe

BackgroundGiven emerging evidence on the waning of immunity from typhoid conjugate vaccines (TCV), the World Health Organization (WHO) commissioned a multi-model comparison to determine the optimal schedule in terms of health and economic impact to inform updated recommendations for TCV use across different settings. Methods and findingsTo identify optimal vaccination strategies across different incidence settings and vaccine waning assumptions, we compared two agent-based and two compartmental dynamic models of typhoid transmission. All models were fitted to harmonized age-specific incidence data from medium, high, and very high incidence settings. We assessed different TCV schedules under slow- and fast-waning scenarios to evaluate the best age for routine vaccination and the potential need for booster doses and catch-up campaigns. We evaluated the public health and economic impact predicted for each model and scenario using the net-monetary-benefit framework to determine cost-effectiveness under two representative scenarios for the health outcomes and costs of vaccination and treatment. Over a 10-year time horizon, routine vaccination at 9 months with a catch-up campaign to 15 years and a booster dose at 5 years was predicted to have the greatest impact, reducing cases by a median of 48-64% across the incidence settings. Across all four models, TCV introduction with a catch-up campaign was cost-effective at willingness-to-pay (WTP) thresholds >$1,250 per disability-adjusted life-year (DALY) averted in medium incidence settings when costs and case-fatality risk (CFR) are high and in high incidence settings when costs and CFR are low. The optimal strategy was to delay vaccination to 2 or 5 years of age if waning is fast, depending on the age of peak incidence. In very high incidence settings, TCV introduction at 9 months or 2 years of age was cost-saving, and adding a booster dose at 5 years was cost-effective at most WTP values across all scenarios. ConclusionsModel predictions for the impact and cost-effectiveness of different TCV schedules were fairly robust to uncertainty in parameter values and model structure, but the optimal strategy depends on the typhoid incidence rate, CFR, and waning rate of vaccine protection.

Since the cessation of real-time monitoring of COVID-19 hospitalizations in early 2024, the burden of and vaccine effectiveness (VE) against severe COVID-19 in the Netherlands was largely unknown. Recently, hospitalization data from 2024 were made available for the purpose of monitoring and evaluating the COVID-19 vaccination campaigns. These data were linked to the population registry, vaccination registry and healthcare use data (for classification into medical risk groups). We analyzed the number and incidence of COVID-19 hospitalizations in 2023 and 2024 by age and medical risk group. VE against hospitalisation of the autumn booster of 2023 (by time since vaccination, 25 September 2023 to 16 September 2024) and of the autumn booster of 2024 (16 September to 31 December 2024) were estimated by medical risk group among persons aged 60 years and older using Cox proportional hazards models with calendar time as underlying time scale and vaccination status as time-varying exposure. Models were adjusted for age, sex, region and household socio-economic status. From around age 60 onward, intermediate and high medical risk groups had a markedly higher incidence than younger age groups, increasing with age. Persons in the low medical risk group had a low incidence up to the age of 80. In 2024, incidence was lower than in 2023. For both autumn booster rounds, estimated VE against hospitalisation was moderate at 55-67% in the first 3 months post-vaccination. In the high medical risk group, 2023 VE decreased fast and was no longer significant at 6 months post-vaccination. For both years, estimates of the number of averted hospitalizations and number needed to vaccinate to prevent one hospitalization indicated that significant health benefit can be achieved by vaccinating the intermediate and high medical risk groups aged 60 years and older. Efforts to increase the moderate vaccine uptake among risk groups could potentially prevent a considerable disease- and healthcare burden. Highlights- In 2023 and 2024, incidence of COVID-19 hospitalization was highest among medical risk groups aged 60 years and older, despite vaccination campaigns. - Estimated VE against hospitalisation of the 2023 and 2024 autumn booster campaigns was moderate (55-67%) in the first year-quarter post-vaccination among persons aged 60 years and older. - Estimated VE of the 2023 autumn booster decreased over the year, and faster among persons with a medical risk condition. Data availability precluded estimates of 2024 VE beyond the first 3 months since the start of the campaign. - Despite lower and waning VE, the estimated number needed to vaccinate to prevent one COVID-19 hospitalization was much lower among intermediate and high medical risk groups compared with the low medical risk group.

ObjectiveTo assess the contribution of changing child poverty rates to trends in measles, mumps and rubella (MMR) vaccination. DesignLongitudinal area-level analysis using within-between models to assess the association of increases in child poverty within-areas on MMR vaccination Setting148 upper-tier local authorities in England from 2015 and 2024. ParticipantsChildren aged 5 years or younger eligible for MMR vaccination in England between 2015 and 2024. 6,468,620 children aged 24 months were included in the study and 6,907,640 aged 5 years. ExposuresChild poverty rates for each upper-tier local authority, measured as the percentage of children aged 0 to 15 living in households below 60% of Organisation for Economic Co-operation and Development (OECD) median, before housing costs. Outcome MeasuresMMR 1st and 2nd dose uptake rates by 24 months 5 years of age respectively, at upper-tier local authority. ResultsOver the study period, MMR 1st dose fell by 4.0 percentage-points (%) (range: -20.8 to 7.7) and MMR 2nd dose by 4.9% (range: -23.4 to 10.1) while child poverty rose by 5.6% (range: 0.2 to 13.9) on average. A 1 percentage-point (%) increase in child poverty was associated with a 0.17% [95%CI: -0.29; -0.06] fall in MMR 1st dose rates and a 0.26% [95%CI: -0.42; -0.10] fall in MMR 2nd dose rates. ConclusionRising child poverty rates have contributed to a decrease in MMR vaccination in children in England. Action to reduce child poverty is needed to improve childhood vaccination uptake alongside policies and interventions specific to vaccination and infectious disease prevention. Summary boxO_ST_ABSWhat is already known on this topicC_ST_ABSInequalities in childhood vaccination uptake in England are stark and have widened, especially for MMR vaccination. Child poverty in England has increased and is associated with rising inequalities in multiple domains of childrens health but impacts on inequalities in vaccination uptake are unclear. What this study addsA 1 percentage-point increase in child poverty was associated with a 0.17 percentage point fall in uptake of MMR1 and a 0.26 percentage point fall in MMR2 between 2015 and 2024. Reducing child poverty is likely to increase vaccine uptake and reduce the burden of vaccine preventable diseases in England.

Population ageing increases the importance of cognitive capacity for making decisions about retirement and living independently beyond it. We tested whether post-war educational expansion and working-life social mobility eliminate the association between social class of origin and cognition in early old age using the 1958 National Child Development Study. Two outcomes were analysed at age 62: standard episodic memory (immediate + delayed word recall) and long-term episodic memory, capturing accurate half-century recall of childhood household facts (rooms and people at age 11 validated against mothers' responses). Social mobility trajectories derived in prior work were classified into predominantly manual versus non-manual class trajectories. Models were estimated separately for women and men across three specifications: (i) social origin and controls, (ii) adding social mobility, and (iii) adding weighting to address healthy survivor bias. Education was consistently associated with both outcomes. For long-term episodic memory, social origin gradients were clearer than for short-term episodic memory, with men from service/professional origins showing a 13 percentage-point higher probability of accurate half-century recall than men from manual origins. These findings indicate that education expansion and working-life social mobility failed to release the grip of social origin on long-term episodic memory.

Embedding equity into vaccine eligibility is essential for reducing health inequalities. Yet, adult vaccine eligibility in most European countries is primarily based on fixed age thresholds, prioritising cost-effectiveness. This approach risks excluding the most vulnerable populations living in deprived communities with poorer health and shorter survival into older age. Extending eligibility based on clinical risk partially addresses this gap. Higher rates of underdiagnosis and delayed diagnosis in deprived populations limit the fairness of this approach, however, with the status quo of adult vaccine eligibility criteria likely doing active harm. In this perspective, we demonstrate the extent of this inequity in England. For example, the average male living in Hyde Park in the northern city of Leeds dies 9.5 years too early to ever receive the RSV vaccine offer at age 75. Meanwhile, a male living in Hyde Park, London, lives much longer and may receive the benefits of the RSV vaccine for 10 years or more. Drawing on lessons from the COVID-19 pandemic, we propose further evaluation of alternative eligibility models that incorporate local place-based disadvantage, which will inherently account for life expectancy and deprivation levels. These models will ensure earlier access to vaccines for communities with the greatest need and improve health equity without overwhelming health systems.

Background Hospital admissions for mental health (MH) and stress related presentations (SRP; symptoms without a clear medical cause which may be psychosomatic in nature) among children and young people (CYP) have risen over time. Rehospitalisation contributes to service costs, may indicate gaps in community based care, and can also disrupt education and social development. Methods This retrospective cohort study used NHS Hospital Episode Statistics to identify all CYP aged 10 to 25 with >1 MH/SRP related hospital admissions in England between 1 April 2014 and 31 March 2018, with follow up until 31 March 2019. Admissions were classified from ICD10 codes into internalising, externalising, personality, and eating disorders, psychosis, self-harm, substance use, postpartum, or potentially psychosomatic diagnostic groups. Outcomes included 30 day all cause readmission, 1 year all cause readmission, and 1 year MH/SRP-specific rehospitalisation. Time to rehospitalisation, and number of MH/SRP readmissions were also evaluated. Clinical and sociodemographic characteristics associated with rehospitalisation were assessed using regression models, time to rehospitalisation using Kaplan Meier analyses, and diagnostic transitions were visualised using Sankey diagrams. Results Of 492,061 CYP with hospital admission for MH/SRP, approximately one third were rehospitalised within one year. Females, older CYP and those from more deprived areas had higher odds of all cause readmission. The odds of MH/SRP rehospitalisation were highest among those aged 14 to 15 years. Co occurring chronic physical health conditions, personality and eating disorders were associated with higher odds, and shorter time, to readmission. Conclusions Rehospitalisation following MH/SRP admissions is common and socioeconomically patterned among CYP. Targeted discharge planning and continuity of care interventions are needed, particularly for high risk CYP admitted with eating and personality disorders.

Background: Ethnic minorities and socioeconomically disadvantaged populations in the UK are at increased risk of obesity. We modelled longitudinal body mass index (BMI) trajectories through infancy, childhood, and adolescence to identify at-risk groups and modifiable risk factors. Methods: This cohort sampled 10,350 White and South Asian children born in Leicestershire, 1985-1997. We included 5,571 participants with [≥]3 BMI measurements between 0-18 years collected from healthcare records, questionnaires, and study visits. We used Group-Based Trajectory Modelling of BMI, separately by sex and ethnicity, and combined. We identified at-risk groups and modifiable risk factors using multinomial logistic regression, with inverse probability weighting to reduce selection bias. Results: We identified similar five BMI trajectories across sex and ethnicity: stable normal BMI (47%); persistent low BMI (30%); early overweight resolving (8%); childhood onset obesity (4%); and adolescent onset overweight (11%). Childhood onset obesity deviated from stable normal BMI at 2-4 years of age, adolescent onset overweight at 4-6 years. South Asians were at higher risk of childhood onset obesity (aOR: 1.66 [95%CI 1.08-2.53]) and adolescent onset overweight (1.29 [0.98-1.71]) than Whites. Children from deprived backgrounds (1.66 [0.92-2.82], most vs least deprived quintile) and those with less educated parents (1.67 [1.08-2.63], compulsory vs higher education) were at increased risk of childhood onset obesity. Smoking during pregnancy (1.50 [0.88-2.54]) and absence of breastfeeding (1.56 [1.07-2.29]) increased risk of childhood onset obesity. Physical activity decreased risk of childhood onset obesity (0.64 [0.44-0.93], [≥]4 vs 0-3 hours/week) and adolescent onset overweight (0.75 [0.59-0.94]). Conclusion: BMI trajectories diverge as early as age 2 years, revealing ethnic and social inequalities. Obesity strategies in the UK should intervene during critical windows in early life and prioritise South Asian children and those from socioeconomically deprived backgrounds.

Background The COVID-19 pandemic exacerbated health disparities globally, with certain populations experiencing disproportionate disease burdens. In Australia, COVID-19 deaths occurred disproportionately among first-generation migrants. This study examined risk factors for COVID-19 infection in a Victorian cohort recruited from priority populations, including healthcare workers, people with chronic health conditions, and culturally and linguistically diverse (CALD) communities. Methods We conducted a cross-sectional analysis of participants from the Optimise longitudinal cohort study (September 2020-December 2023). The primary outcome was the self-reported count of confirmed COVID-19 infections (PCR or rapid antigen test positive) from December 2019 to December 2023. We used Poisson regression to examine associations between baseline sociodemographic characteristics and infection count, calculating unadjusted and adjusted incidence rate ratios (IRRs) with 95% confidence intervals (CIs). Results Of 433 participants (median age 51 years, 75% female), 25% reported no infections, 48% reported one infection, and 27% reported two or more infections. In univariate analysis, CALD status (IRR=1.24,95%CI:1.02-1.50) and larger household size (2-5 people, IRR=1.71,95%CI:1.14-2.50) were associated with higher infection rates, while chronic health conditions (IRR=0.73, 95%CI:0.61-0.88) and older age (IRR=0.54, 95%CI:0.43-0.67) were associated with lower infection rates. In adjusted analysis, younger age (18-34 years vs [≥]55 years: aIRR=0.63,95%CI:0.48-0.82) and medium household size (living alone vs 2-5 person household: aIRR=1.42, 95%CI:1.11-1.83) remained significant predictors. CALD status and socioeconomic status showed no independent association with infection risk after adjustment for household size and age. Conclusion COVID-19 infection risk in this Victorian cohort was driven by younger age and larger household size rather than CALD status or socioeconomic status, suggesting that housing density and age, rather than cultural or socioeconomic characteristics, determined infection patterns. Future pandemic preparedness should prioritise policies enabling safe quarantine and isolation for individuals in larger households and workplace protections and economic security for younger essential workers.

Background. Vietnam's disease burden has shifted from communicable, maternal, neonatal, and nutritional (CMNN) causes to non-communicable diseases (NCDs), but the tempo, drivers, and regional positioning of this transition have not been jointly quantified. We characterised Vietnam's epidemiological transition 1990-2023 against ten Southeast-Asian (SEA) peers. Methods. Using Global Burden of Disease 2023 data, we computed joinpoint-regression AAPC with 95% CI (BIC-penalised, up to three break-points) for age-standardised DALY rates and cause-composition shares. We applied Das Gupta three-factor decomposition to 1990-2023 absolute DALY change (population-size, age-structure, age-specific-rate effects) and benchmarked Vietnam's NCD share against an SDI-conditional peer trajectory via leave-one-out quadratic regression. Premature mortality was quantified as WHO 30q70 under both broad NCD and strict SDG 3.4.1 definitions, using Chiang II life-table adjustment identically across all eleven countries. Findings. The CMNN age-standardised DALY rate fell from 13,295.9 to 4,022.1 per 100,000 (AAPC -4.63%/year; 95% CI -4.80 to -4.46); the NCD rate fell only from 21,688.2 to 19,282.8 (AAPC -0.37; -0.45 to -0.30). NCD share of total DALYs rose from 52.99% to 70.67% (+17.67 pp; AAPC +1.09). Vietnam ranked fourth of eleven SEA countries in 2023 (up from sixth in 1990) and sat 5.3% above the SDI-expected trajectory. Das Gupta decomposition attributed the +10.63 million NCD DALY increase to population growth (+6.26 M) and ageing (+6.08 M); rate change removed only 1.71 M. Premature NCD mortality fell from 25.02% to 21.80% (broad, 12.9% reduction) and from 22.17% to 19.50% (SDG 3.4.1, 12.0%; Vietnam sixth of eleven) - far short of the SDG 3.4 one-third-reduction target. Interpretation. Vietnam has entered a disability- and ageing-dominated NCD phase. Meeting SDG 3.4 by 2030 requires population-scale primary prevention sized to demographic momentum.

HighlightsO_LIHealth inequalities have widened over 15 years, favouring high-income groups C_LIO_LIInequality in physical activity & mental health widened the most pre-intervention C_LIO_LIPost-intervention, inequalities persisted but stayed relatively unchanged. C_LIO_LILong-term illness and unemployment were key drivers of inequality C_LIO_LIThe greenway may have slowed down the inequality widening but the impact is limited C_LI BackgroundEvidence concerning health inequalities following urban green and blue space UGBS) interventions is limited. This study examined the changes in health inequalities after a major urban regeneration project, the Connswater Community Greenway (CCG), in Belfast, UK. MethodCross-sectional household surveys were conducted in 2010/11 (baseline), 2017/18 (immediately after completion), and 2023/24 (long-term follow-up) with a sample of approximately 1,000 adults each wave. Using concentration indices (CI), income-related health inequalities for three outcomes (physical activity, mental wellbeing and quality of life) were measured. A regression-based decomposition of concentration index examined the contribution of sociodemographic factors to the observed inequalities underpinning each outcome over time. ResultsAcross three waves, there was widening of inequalities over the 15-year period across all three health outcomes, with those from high-income groups reported higher levels of physical activity (CI=0.33, SE=0.026), better mental wellbeing (CI=0.03, SE=0.003), and better quality of life (CI=0.09, SE=0.008). The widening inequalities mainly occurred during the construction phase of CCG (2010-2017) and remained stable post-intervention (2017-2023). Decomposition analysis revealed that the pro-poor concentration of long-term illness and unemployment was the key driver that together explained approximately 51%-76% of the inequalities. ConclusionThe CCG was limited in reducing health inequalities which were mainly driven by long-term illness and unemployment - factors beyond the direct scope of the UGBS intervention - resulting in low-income groups likely to fall further behind the wealthier groups. The widening of inequality is consistent with findings from other public interventions that did not have a primary equity focus.

Background: The two-child benefit cap, implemented in April 2017, restricted Universal Credit and Child Tax Credit to the first two children in households with three or more children. We evaluate the impact of the two-child benefit cap on parental mental, general, and financial health, as well as investigate how this may differ in particular sociodemographic and economic subgroups based on sex, ethnicity and income. Methods: Data was obtained from parents (youngest child aged 5 or under) in the UK Household Longitudinal Survey from 2009 to 2023. Outcomes included parental mental health (psychological distress and life satisfaction), general health (health-related quality of life (HRQoL), self-rated health and health satisfaction), and financial health (current financial situation and financial outlook). We used complementary policy evaluation methods with different strengths and assumptions to triangulate evidence and strengthen inference: interrupted time series (ITS), difference-in-differences (DiD) and controlled time series analysis (CITS). Subgroup analyses were stratified by sex, ethnicity, and income. Findings: Across methods, findings consistently indicate that the policy worsened life satisfaction, self-rated health, health satisfaction, and financial health for parents of 3+ children. Findings were less consistent across methods for psychological distress and HRQoL. For instance, for psychological distress ITS and CITS indicate adverse impacts of the policy; however, one DiD model did not support this conclusion due to greater average worsening in the control group between the pre- and post-periods. Subgroup analyses indicate greater mental health and general health impacts in lower income, male and ethnic minority parents; while financial health was negatively impacted in all subgroups examined. Conclusions: Using repeated cross-sectional panel data and triangulating across causal inference methods, we conclude that the two-child benefit cap in the UK had a measurable adverse impact on most health outcomes examined, with worse outcomes for male, lower income and ethnic minority parents.

COVID-19 remains a substantial public health challenge in the Netherlands. Next-generation COVID-19 vaccine, mRNA-1283, is approved in the European Union, with potential for higher relative vaccine efficacy compared with originally-licensed COVID-19 vaccines. Its potential public health and economic impact, in adults [≥]60 years and high-risk 18-59 years, was modelled versus no vaccination and originally-licensed mRNA-1273 and BNT162b2, adapting a published static Markov model with 1-year time horizon. COVID-19 burden reflected two full post-pandemic seasons. Vaccine efficacy versus mRNA-1273 was based on pivotal phase 3 NextCOVE trial data; efficacy versus BNT162b2 was derived from an indirect treatment comparison. The economically justifiable price (EJP) of mRNA-1283 versus no vaccination, and price premiums over existing vaccines, were determined at a willingness-to-pay threshold of {euro}50,000/quality-adjusted life-year (QALY) gained. Without COVID-19 vaccination, an estimated 460,000 infections, 23,800 hospitalizations and 5,300 deaths would occur. With current coverage, mRNA-1283 was estimated to prevent 68,000 infections, 5,400 hospitalizations, and 1,200 deaths, saving 9,667 QALYs and over {euro}66.5 million in treatment costs. The EJP was {euro}238 versus no vaccination. Compared with mRNA-1273 and BNT162b2, mRNA-1283 was estimated to prevent additional burden (e.g., 1,309 and 1,679 hospitalizations, respectively), and was cost-effective at an incremental EJP of {euro}62 versus mRNA-1273, and {euro}80 versus BNT162b2. The results support continued COVID-19 vaccination to mitigate the ongoing health and societal burden of SARS-CoV-2 in the Netherlands. The comparative analyses indicate that mRNA-1283 may be associated with substantial health benefits over originally-licensed mRNA vaccines; consequently, its use may further improve health outcomes and economic efficiency within COVID-19 vaccination programs.

Background Heatwaves increasingly threaten public health in the Mediterranean region, and Greece is among the hardest hit countries. Yet evidence on long-term adaptation, spatial vulnerability, and the contribution of human-induced climate change to heatwave-related mortality in Greece remains limited. Methods We analysed 2,144,957 all cause deaths in Greece during 2000 and 2019 using a time stratified case crossover design. We derived population weighted daily maximum temperatures at NUTS3 level from ERA5 reanalysis and WorldPop. We applied six heatwave definitions (HD1-HD6) varying by duration (2 or 3 consecutive days or more) and thresholds (90th, 95th, 99th percentiles). We fitted Bayesian hierarchical Poisson models to estimate heatwave-mortality associations varying by space and time. We additionally adjusted for relative humidity and national. We then combined these estimates with probabilistic climate attribution methods to quantify the number and proportion of heatwave-related deaths attributable to human induced climate change. Results Heatwaves raised mortality consistently, with relative risks from 1.08 (95% CrI (Credible Interval): 1.07- 1.09; HD1) to 1.15 (1.11- 1.20; HD6). Risks increased with heatwave intensity and duration and peaked among females and adults aged 85 years and older. We did not detect a consistent temporal decline in risk or marked spatial heterogeneity. Human induced climate accounted for 51-94% of heatwave related deaths across definitions. The proportion attributable to climate change rose over time. Conclusions Heatwaves already impose a major mortality burden in Greece, with more than half driven by anthropogenic climate change and little evidence of population level adaptation. These findings call for rapid emissions reductions and targeted adaptation, including stronger heat health warning systems and protection of vulnerable groups.

Objective To examine ethnic differences in the incidence and age-related trajectories of childhood health conditions from birth to adolescence within a UK birth cohort. Design Longitudinal population-based birth cohort with linkage to primary care electronic health records. Setting Born in Bradford (BiB), a multi-ethnic birth cohort in Bradford, UK. Participants 13,282 children (36% White British, 44% Pakistani British, 20% other ethnicity) born 2007 to 2011 with linked primary care records and over 1 year follow-up. Main outcome measures Incident diagnoses of atopic conditions (asthma, eczema, allergic rhinoconjunctivitis), overweight/obesity, common mental health disorders (anxiety, depression), and neurodevelopmental disorders (including ADHD and autism). Incidence rates, Kaplan-Meier cumulative incidence, and Cox regression hazards ratios (HRs) were estimated. Results Atopic conditions emerged early (median onset 5 to 6 years) and were more common among Pakistani British children, with higher hazards of eczema (HR 2.29, 95% CI 2.01 to 2.61), allergic rhinoconjunctivitis (HR 2.27, 2.00 to 2.58), and asthma (HR 1.35, 1.22 to 1.50). Overweight/ obesity developed later (median 9 to 10 years) and were also more frequent in Pakistani British children (HR 1.25, 1.16 to 1.35). In contrast, common mental health disorders emerged predominantly in early adolescence (median around 13 years), and both mental health and neurodevelopmental diagnoses were more frequently recorded among White British children; Pakistani British children had lower hazards of neurodevelopmental diagnoses (HR 0.28, 0.23 to 0.35) and mental health disorders (HR 0.53, 0.41 to 0.70). Conclusions Ethnic differences in childhood health are condition-specific and vary by age of onset, emerging at distinct stages. These findings inform the timing of prevention, service planning, and research into underlying mechanism.

BackgroundInitial reports from the Netherlands indicate a decline in routine childhood vaccination uptake during and after the COVID-19 pandemic, with emerging evidence of reduced parental vaccine confidence. This study aimed to evaluate the long-term impact of the COVID-19 pandemic on routine childhood vaccination uptake. MethodsWe conducted a retrospective nationwide cohort study including all children born in the Netherlands in 2016-2024. First-dose DTaP-IPV vaccination status by age six months was obtained from the national immunisation register. National trends in vaccination uptake across pre-pandemic, pandemic, and post-pandemic periods were assessed using interrupted time series analyses. To further assess the independent effect of the pandemic, a matched-sibling analysis compared vaccination uptake within families before, during and after the pandemic. ResultsInterrupted time series analyses showed significant immediate decreases in vaccination uptake both at the start and end of the pandemic, accompanied by a continuing downward trend during the pandemic (OR 0.984, 95%CI 0.982-0.985) that further declined after its end (OR 0.995, 95%CI 0.994-0.997). In the matched-sibling analysis children eligible during and after the pandemic had lower odds of being vaccinated (pandemic: OR 0.66, 95%CI 0.55-0.80; post-pandemic: OR 0.20, 95%CI 0.17-0.25) compared to their pre-pandemic siblings. Also, later birth order was associated with lower odds compared to first-born siblings (second-born: OR 0.42, 95%CI 0.37-0.48). ConclusionsBoth analyses indicate a negative impact of the COVID-19 pandemic on parental vaccination decisions, which may reflect lingering pandemic effects or new post-pandemic factors, highlighting the need for further research into the drivers of vaccination uptake changes in the post-pandemic era.

Background Education outcomes predict life chances. However, poverty, ill-health and disability are barriers to achievement. We examined determinants of academic attainment of children with and without major congenital anomalies in state-funded mainstream schools at ages 11 and 16 (key stages [KS] 2 and 4). Methods and Findings Routinely collected electronic records for children born in Wales 01/01/1998-31/12/2007 until 31/12/2019 were linked in the Secure Anonymised Information Linkage (SAIL) Databank. Education outcomes were explored using logistic regression, adjusting for: anomalies, maternal and child deprivation, prescribing, hospitalisation, gestation length, childs sex, and special education needs (SEN) provision. Children with anomalies were less likely to achieve academic standards: however, attainment was more closely associated with affluence. At age 11, 81.87% (7167/8754) with and 93.80% (232,450/247,814) without anomalies passed (odds ratio [OR] 0.30, 95% confidence intervals [CI] 0.28-0.32). At age 16, 46.76% (2070/4427) with and 56.10% (69,732/124,300) without anomalies achieved 5 General Certificates of Secondary Education (GCSEs) at grades C-A* including English/Welsh, Maths and Science (EWMS) (OR 0.69, 0.65-0.73). Discrepancies narrowed in adjusted analyses, particularly when SEN provision was accounted: aOR 0.72 (0.66-0.78) at KS2, and aOR 0.93, (0.87-1.00) for 5 GCSEs C-A* with EWMS. These GCSEs were achieved by 29.65% (307/1034) children with anomalies and 38.42% (10,875/28,305) of unaffected children in the most deprived quintile{dagger}: in the most affluent quintile, figures were 67.57% (547/810) and 74.98% (16,978/22,644). Children with anomalies, receiving maximum SEN support, eligible for Free School Meals (FSM) were the least successful: 5/192 (2.6%) passed 5 GCSEs C-A* with EWMS, as did 37/354 (10.4%) ineligible for FSM. The strongest associations with these GCSEs were SEN statements (aOR 0.07, 0.06-0.07), FSM eligibility (aOR 0.39, 0.37-0.41), and epilepsy (aOR 0.60, 0.45-0.80). However, data were unavailable for 15-18% of children, mainly those educated outside mainstream schools, and some co-morbidities. Generalisation of findings to other countries rests with readers. Conclusions Many children with anomalies from affluent households succeeded. The children left behind lived with poverty and ill-health from congenital anomalies and/or epilepsy. SEN provision mitigated the impact of disadvantage, but poor children with anomalies were unlikely to succeed. {dagger}taking maternal Welsh Index of Multiple Deprivation (WIMD) 2014 at birth.

FluSurvey is a participatory surveillance system used to monitor trends in influenza and other respiratory viruses through weekly symptom surveys among the UK population. We aimed to characterise the wider impact of "influenza-like illnesses" (ILI) among FluSurvey participants and assess correlations of ILI with other established influenza surveillance systems. We included data reported by FluSurvey participants over the 2023-24 and 2024-25 winter seasons. Using weekly symptoms surveys, we derived ILI episodes and estimated the proportion reporting healthcare service use, medication use, impact on daily life, absenteeism and use of tests. We applied existing methodologies (omitting first report and weighting to the age-sex structure of England) and assessed cross-correlations of weekly FluSurvey ILI rates with the national surveillance of GP ILI consultations, influenza hospital admissions, and influenza PCR test positivity at time lags of up to +/- 2 weeks. There were 3057 participants over two winter seasons (N2023-24=2540, 63% female, mean age 60 years; N2024-25=2273, 64% female, mean age 61 years). Of 1868 ILI episodes, only a minority contacted healthcare services (14%, most frequently visiting the GP). A large proportion of episodes reported medication use (89%), impact on daily life (75%) and missing school or work (47%). Notable differences in testing behaviour were apparent by season, with fewer reporting use of tests in 2024-25. FluSurvey ILI rates were strongly correlated with other influenza surveillance, predominantly leading GP ILI consultations (max r=0.73), coinciding with influenza hospital admissions (max r=0.88) and lagging influenza test positivity (max r=0.88). The majority of ILI reported to FluSurvey do not contact healthcare due to symptoms but experienced wider impacts on daily life. FluSurvey ILI corresponds well with other national influenza surveillance and provides broader context on community illness, supplementing the monitoring of influenza activity for public health response.

Background: Understanding the underlying mechanisms for differences in vaccine uptake between migrants and non-migrants is crucial in order to design targeted interventions encouraging vaccination and to ensure vaccine-related equity. Therefore, this study examined to what extent migration-related disparities in COVID-19 vaccination were associated with psychological factors, based on the established 5C model of vaccine behaviour (Confidence, Complacency, Constraints, Calculation, Collective Responsibility). Methods: Data were obtained from the German study "Corona Monitoring Nationwide - Wave 2" (RKI-SOEP-2 study), which was carried out between November 2021 and March 2022. The association between COVID-19 vaccination and migration status, while considering the psychological factors, was investigated using multivariable binary logistic regressions. A decomposition analysis (Karlson-Holm-Breen method) was conducted to examine the extent to which migration-related disparities in vaccine uptake were associated with the psychological factors of the 5C framework. Results: Migrants were less likely to be vaccinated against COVID-19 compared to non-migrants, especially participants from the Middle East and North Africa (MENA) region. Our decomposition showed that almost two-thirds of the disparities in COVID-19 vaccine uptake between migrants and non-migrants were associated with the psychological factors (first-generation: 61.2%, second-generation: 64.2%). Confidence in safety of the vaccine was the most relevant factor in the 5C framework. Furthermore, the results highlighted the importance of a differentiated analysis regarding country of origin: While the 5C model accounted for only 19.4% of the difference between participants from the MENA region and non-migrants, the proportion for participants from Eastern Europe was 73.5%, suggesting that the underlying mechanisms for the lower uptake in the MENA group need further investigation. Conclusions: Overall, migration-related disparities in COVID-19 vaccination were significantly associated with differences in psychological factors of vaccine behaviour. To increase vaccine acceptance within the heterogeneous group of migrants in general, tailored and proactive health communication interventions are needed.

Previous research links Adverse Childhood Experiences (ACEs) with problem gambling, but most studies rely on retrospective reporting and focus narrowly on maltreatment, overlooking adversities such as parental mental health issues. Using data on 3794 young adults in the Avon Longitudinal Study of Parents and Children, we examined longitudinal associations between 10 prospectively measured ACEs (individually and cumulatively), and moderate-risk/problem gambling (Problem Gambling Severity Index >=3) at ages 17, 20 and 24, adjusted for socioeconomic and other background factors. Population attributable fractions (PAFs) estimated proportions of cases potentially attributable to ACEs. Most ACEs were associated with higher odds of moderate-risk/problem gambling across ages (24/30 estimates) after adjustment, though effect sizes were generally small (median adjusted odds ratio [aOR] 1.31, interquartile range 1.24-1.59), and confidence intervals (CIs) wide. Sexual abuse showed the strongest association (aORs 2.4-4.2, CIs 0.5-10.5), while bullying and parental conviction were associated at ages 17 and 20 only, parental separation age 24 only. Evidence for a dose-response relationship was weak. PAFs suggested ACEs accounted for up to 12% of moderate-risk/problem gambling cases. These findings highlight potential impacts of ACEs on later gambling behaviour, but imprecise estimates suggest findings should be interpreted cautiously and strengthened through larger datasets and meta-analyses.

IntroductionObesity and related health conditions are unevenly distributed across neighborhoods, often co-occuring with multiple health challenges and socioeconomic disadvantages. Using an ecosyndemic framework, which integrates ecological and social dimensions that contribute to the clustering of health problems, this study examines how adverse obesity-related health outcomes spatially cluster in relation to obesogenic environments and socioeconomic position (SEP) across Dutch neighborhoods. MethodsNationwide neighborhood-level data on health outcomes, obesogenic environmental exposures (food environment, walkability, drivability, bikeability, sports facilities), and SEP were combined for all inhabited Dutch administrative neighborhoods in 2016 (N=12,420). Cluster analysis was used to identify distinct neighborhood profiles and descriptive statistics to characterize each cluster, with spatial patterns visualized using an interactive heatmap and principal component plots. ResultsFive neighborhood clusters were identified. The Ecosyndemic cluster (N=1,070 neighborhoods) exhibited the highest burden of obesity (17% [IQR 16;19), chronic diseases (36% [IQR 33;38%) and risk of anxiety/depression (55% [IQR 51;58]), unhealthy food environments and low SEP. In contrast, the Privileged cluster (N=6,425) had more favorable health outcomes and living conditions, including lower obesity prevalence (12% [IQR 11;14]). The Psychosocial Vulnerability cluster (N=991) was notable for elevated risk of anxiety/depression (47% [IQR 43;51]) combined with relatively low obesity (11% [IQR 8;12]). The Syndemic cluster (N=1,836; obesity 15% [IQR 14;17]) and Towards Privileged cluster (N=2,098; obesity 12% [IQR 10;13]) represented intermediate profiles. ConclusionObesity and related health issues frequently cluster with unfavorable environment and SEP at the neighborhood level. The ecosyndemic framework offers a novel approach for identifying high-risk areas and supports targeted, social and place-based interventions.