European Journal of Public Health

ObjectivesNon-communicable diseases (NCDs) account for almost 90% of deaths in Europe, yet comparative estimates of the productivity costs associated with premature NCD mortality across diseases and countries remain limited. This study estimates and compares productivity losses attributable to cardiovascular disease (CVD) and cancer mortality among working-age populations across Europe. Population-based data were used to estimate productivity costs for CVD and cancer deaths across 30 European countries. Sex- and age-specific mortality data for 2021 were obtained from the World Health Organization Mortality Database. Economic data, including wages, unemployment rates, and labour force participation rates, were sourced from Eurostat. Productivity losses were valued using a human capital approach incorporating an age-transition lifecycle simulation model that adjusts for lifetime wage trajectories and labour market dynamics. Costs were discounted at 3.5%. Total productivity losses from cancer and CVD mortality in working-age populations were estimated at {euro}195.7 billion, equivalent to 1.24% of European GDP. Cancer accounted for 62.5% ({euro}122.2 billion) of total productivity losses, while CVD accounted for 37.5% ({euro}73.5 billion). Total CVD-related productivity costs exceeded cancer-related costs in Central and Eastern Europe, whereas cancer productivity costs were higher in Western, Northern, and Southern Europe. Mean productivity costs per death were higher for CVD ({euro}219,848; 95% CI 165,241-270,247) than for cancer ({euro}217,744; 95% CI 166,554-273,144). A larger gender gap was observed for CVD mortality, with a male-to-female cost ratio of 2.5 compared with 1.6 for cancer. Productivity losses associated with premature cancer and CVD mortality represent a substantial economic burden across Europe, with pronounced variation by disease, region, and sex. These findings provide comparative, cross-country estimates of the human capital costs associated with major NCD causes of death.

In an era in which population ageing, rising healthcare costs and growing global health challenges are pressing global issues, the main aim of our article is to analyze trends in preventive care expenditures from 2004 to 2023 in 22 European countries, examining whether specific health systems are associated with different time trends in preventive care expenditures over the considered time. Although there are few studies investigating this issue adopting the standard tripartite classification, to our knowledge, this is the first study to explore the topic using the latest classification of healthcare systems proposed by Bohm. We performed a time trend analysis using secondary data from 22 European OECD countries during a twenty-year period (2004-2023); in addition, a hierarchical semi-log polynomial mixed-effects regression analysis has been performed, including annual country-level % preventive expenditures in association with the three structural dimensions -- regulation, financing and provision -- according to Bohms classification as explanatory variables. Our results indicate that, in terms of compound annual rate, most countries exhibited an increase in % of preventive expenditures (between 0.2% and 3.7%), while seven countries denounced a decrease (between -6.3% and -0.2%) during the considered period. The regression analysis shows that the trend of % preventive expenditures did not differ in two of the three dimensions under study: financing and provision. In contrast, in countries with statal regulation, the curvilinear trend was more pronounced than in countries with statal regulation (b=0.0035; 95% CI= 0.0013, 0.0057). In conclusion, there is no correlation between the type of healthcare system and the share of expenditure allocated to prevention activities in the countries analysed; a resulting implication is that investment in prevention is not intrinsically determined by the organisational structure of the healthcare system, but responds to external factors. Key questionsO_ST_ABSWhat is already known on this topic?C_ST_ABSPreventive care represents a relatively small share of total health expenditure in most OECD countries, despite its recognized importance in addressing public health issues. Previous studies attempted to explore cross-country differences in preventive spending and the potential role of healthcare system organization, often using traditional classifications (e.g., Beveridge or Bismarck). However, evidence remains limited and no studies have examined long-term trends using current multidimensional classifications of healthcare systems. What does this study add?By analyzing trends in preventive care expenditures over a twenty-year period across 22 European OECD, our study showed trends in the share of spending on prevention were largely independent of the structural characteristics of healthcare systems. Among the analyzed dimensions, only the regulation showed a more pronounced curvilinear trend in countries with societal regulation. How this study might affect research, practice or policy?Since the findings suggest that investment in prevention may depend more on contextual factors such as political priorities and public health strategies rather than structural characteristics of healthcare systems, policymakers should therefore promote prevention through targeted policy commitment instead of relying on health system design alone.

ObjectivesDigital biomarkers offer scalable screening for type 2 diabetes, yet adoption is stalled by uncertainty regarding economic viability. This study evaluates the cost-effectiveness and budget impact of digital screening compared to opportunistic screening from a Swiss payer perspective. MethodsA probabilistic Markov cohort model was developed to simulate at-risk Swiss adults (age [≥]45, BMI [≥]25 kg/m{superscript 2}) over a 40-year horizon. The model incorporates a digital attrition parameter, inputs derived from Swiss-specific sources (e.g., the CoLaus study and FSO life tables), and statutory tariffs. Costs and outcomes were discounted at 3.0%. ResultsIn the deterministic base-case, digital screening yielded an incremental cost-effectiveness ratio of CHF 2,912 per quality-adjusted life-year gained. Probabilistic sensitivity analysis indicated a 93.2% probability of cost-effectiveness at the CHF 50,000 threshold. The budget impact analysis estimated a Year 1 gross investment budget of CHF 27 million to identify prevalent cases, followed by long-term savings from averted complications. ConclusionsDigital screening can be highly cost-effective in Switzerland. While the required Year 1 gross investment poses a liquidity challenge, reimbursement via pathway-oriented models under the Swiss tariff could align incentives with long-term complication avoidance.

BackgroundUniversal Free School Meals (UFSM) were introduced by the Welsh Government in 2022 to provide every primary school child (aged 4-11) with a free meal at lunch time by 2024, aiming to improve nutrition and reduce inequality. While evidence suggests UFSM can support dietary quality and social inclusion; uptake remains inconsistent, and concerns have been raised regarding meal quality and portion sizes. Aims/ObjectivesThis study explored the perceptions of children and parents regarding the rollout of UFSM in Wales, focusing on perceived health, wellbeing and social impacts whilst also identifying factors influencing non-uptake. MethodsA mixed-methods study was conducted, combining qualitative focus groups with 56 children in year 6 (aged 10-11) across eight primary schools in Wales. A cross-sectional survey was also completed by 410 parents from 110 Welsh primary schools. Qualitative data from focus groups and open-ended survey questions were analysed thematically using Braun and Clarkes framework, whilst closed-ended survey items were analysed descriptively to complement and contextualise qualitative findings. ResultsThree themes emerged from the childrens data. (1) The Food Experience, (2) The Social Value of Lunchtime, and (3) Fuel for Learning and Feeling Good. Children valued the social and emotional aspects of mealtimes but reported mixed experiences with food quality, variety, and portion sizes. Parents similarly expressed concerns about meal nutritional quality but also highlighted the policys benefits in reducing financial strain, stress, and daily time pressures. ConclusionsUFSM is widely supported for promoting inclusion and access to food. Nevertheless, improving meal quality, portion sizes, and menu diversity is essential to sustain participation and maximise the policys long-term health and equity benefits.

ObjectivesTo examine associations between cardiometabolic conditions and health-related quality of life (HRQoL) and to evaluate whether condition-associated HRQoL changed from 2001 to 2022. MethodsWe analyzed nationally representative data from U.S. adults aged [≥]18 years in the Medical Expenditure Panel Survey, 2001-2022. Survey years without BMI data (2017, 2019, 2021) were excluded. EQ-5D utilities were mapped from SF-12 scores using a validated algorithm. For each survey year, survey-weighted multivariable regression models estimated associations of sociodemographic characteristics, BMI, and cardiometabolic conditions (diabetes, heart disease, high blood pressure, high cholesterol, obesity, stroke) with HRQoL measured by EQ-5D. Temporal changes in condition-associated HRQoL decrements were assessed using meta-regression across years. Associations in recent survey years were summarized using pooled estimates from 2015, 2016, 2018, and 2022. ResultsOverall HRQoL improved from 2001 to 2022 across age groups, with the largest improvement among older adults. In pooled analyses, stroke was associated with the largest adjusted HRQoL decrement (-0.0714), followed by heart disease (-0.0503), diabetes (-0.0427), high blood pressure (-0.0328), obesity (-0.0305), and high cholesterol (-0.0236). Additional adjustment for BMI attenuated condition-associated decrements, most notably for obesity (-0.0305 to -0.0183), diabetes (-0.0427 to -0.0414), and high blood pressure (-0.0328 to -0.0316). Over time, diabetes- and heart disease-associated decrements attenuated linearly (diabetes: - 0.0489 in 2001 to -0.0406 in 2022; heart disease: -0.0591 to -0.0493). High blood pressure (-0.0337 in 2001, -0.0415 in 2012, -0.0306 in 2022) and obesity (-0.0305 in 2001, -0.0283 in 2012, -0.0367 in 2022) showed nonlinear patterns. ConclusionsCondition-associated HRQoL decrements varied over time, and recent-year utility estimates are recommended for population health research. HRQoL decrements for diabetes and heart disease attenuated, consistent with improvements in treatment and survival. High blood pressure-associated were lowest around 2012, and obesity-associated became more negative after 2012, consistent with worsening blood pressure control and obesity severity.

ObjectiveThe objective of this analysis was to explore temporal and regional trends in breast pump prescription claims in outpatient settings in Germany, and to characterize the types of pumps covered. Study designWe conducted a nationwide secondary analysis of outpatient statutory health insurance billing data for breast pump prescriptions from 2011 to 2024, covering nearly 90% of the German population. Billing data from community pharmacies were scaled to full national coverage using regional extrapolation factors and subsequently linked with national and state-level live birth statistics to adjust for birth rates and population size across federal states. A list of breast pumps covered by German national statutory health insurance funds was queried for information on their characteristics. ResultsPrescription of electric pumps dominate outpatient statutory health insurance breast pump claims in Germany, with national statutory health insurance funds covering {euro}15.3 million for pump rentals. Manual pumps dispensed through community pharmacies accounted for {euro}27 thousand in 2024. Between 2011 and 2024, electric pump claims increased by a factor of 2.57, rising from 235.4 to 605.2 claims per 1000 infants newly enrolled in statutory health insurance (average annual growth rate 8.24%). Claims varied substantially across federal states but increased overall. ConclusionsThis is the first epidemiological analysis of statutory health insurance prescription claims for breast pumps in Germany. We found that electric breast pumps are important medical devices supporting outpatient human milk expression in Germany. Prescription claims appear to be very common and have shown an increase over the past 13 years.

Objectives: Longer lifespans lead to longer time on retirement, despite the efforts to raise the retirement age. Therefore, it is important to study how the retirement years can be spent without diseases. This study examined socioeconomic and sociodemographic differences in healthy years spent on retirement. Methods: We followed a cohort of retired Finnish municipal employees (N=4231, average follow-up 15.4 years) on national administrative registers for major chronic diseases: cancer, coronary heart disease, cerebrovascular disease, diabetes, asthma or chronic obstructive pulmonary disease, dementia, mental disorders, and alcohol-related disorders. Median healthy years on retirement and age at first occurrence of illness (ICD-10 and ATC-based) in each combination of sex, occupational class, and age of retirement were predicted using Royston-Parmar models. Prevalence rates for each diagnostic group were calculated. Results: Most healthy years on retirement were spent by women having worked in semi-professional jobs who retired at age 60-62 (median predicted healthy years 11.6, 95% CI 10.4-12.7). The least healthy years on retirement were spent by men having worked in routine non-manual jobs who retired after age 62 (median predicted healthy years 6.5, 95% CI 4.4-9.5). Diabetes was slightly more common among lower occupational class women, and dementia among manual working women having retired at age 60-62. Discussion: Healthy years on retirement are not enjoyed equally by women and men and those who retire early or later. Policies aiming to increase the retirement age should consider the effects of these gaps on retirees and the equitability of those effects.

BackgroundUndiagnosed diabetes represents a major challenge for health systems worldwide. While low socioeconomic status is typically associated with reduced healthcare access, the relationship between socioeconomic position and diabetes detection remains poorly characterized in Latin American settings with fragmented health systems. MethodsWe analyzed data from 4,409 Argentine adults who underwent capillary glucose measurement in the Third Step of the 2018 National Survey of Risk Factors. Among 471 individuals with elevated glucose ([≥]110 mg/dL), we examined the association between household income quintile and undiagnosed status using multivariable logistic regression, adjusting for age, sex, health coverage type, education, body mass index, physical activity, and smoking. ResultsContrary to expectations, undiagnosed dysglycemia increased with socioeconomic status: from 45.8% in the lowest quintile to 67.8% in the fourth quintile, with a slight decrease to 61.1% in the highest quintile. After full adjustment, each higher income quintile was associated with 22% greater odds of remaining undiagnosed (OR=1.22; 95% CI: 1.04-1.44; p=0.014). Notably, enrollment in public assistance programs (Plan Estatal) was associated with substantially lower odds of undiagnosed dysglycemia compared to social security coverage (OR=0.27; 95% CI: 0.09-0.79). Results were robust across multiple weighting specifications. ConclusionsHigher socioeconomic status paradoxically increases the likelihood of undiagnosed dysglycemia in Argentina, challenging conventional assumptions about healthcare access. Targeted public programs appear effective at identifying cases among vulnerable populations, while gaps persist in higher-income groups. These findings suggest that diabetes screening strategies should not overlook populations traditionally considered to have adequate healthcare access.

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.

ObjectivesTo determine temporal trends in the rates of preterm birth and its sub-types in Sweden and assess the contribution of known-risk factors. DesignA population-based register study. SettingSweden. Participants (Instead of patients or subjects)3,264,146 pregnancies registered in the Swedish Medical Birth Registry with information on pregnancy duration and onset of labour (1991 - 2021). Main outcome measuresThe primary outcomes were the overall, spontaneous and iatrogenic preterm birth rates between 1991 - 2021, stratified on singleton and multiple births, as well as for extremely preterm (<28 weeks, <196 days), very preterm (28-31 weeks, 196 - 224 days), moderately preterm (32 - 33 weeks, 224 - 238 days), and late preterm (34 - 36 weeks, 238 - 259 days) births. Using logistic regression models, we investigated whether maternal age at conception, use of artificial reproductive technologies, smoking, parity, and maternal continent of birth were associated with the observed trends. ResultsThe overall preterm birth rate was stable between 1991 - 2005 at 5.50% (95% CI: 5.37%, 5.63% in 1991) but decreased thereafter to 4.78% (95% CI: 4.66%, 4.91%) in 2021, a finding confined to spontaneous preterm births. The largest decline was observed in late preterm births, from 3.92% (95% CI: 3.80%, 4.05%) in 2005 to 3.52% (95% CI: 3.41%, 3.63%) in 2021. Moderately preterm birth also declined (0.70%, 95% CI: 0.65%, 0.76% in 2005 to 0.53%; 95% CI: 0.49%, 0.58% in 2021), whereas very-extremely preterm birth did not. Decreased spontaneous preterm birth rates were observed in women born in European, Asian and African countries, with largest decline observed in the latter (rate in 1991 = 2.65%, 95% CI: 1.74%, 3.86%; rate in 2021 = 1.72%, 95% CI: 1.42%, 2.07%). Adjusting for maternal and obstetric risk factors didnt alter these associations. ConclusionsWhile rates of preterm birth have been stable or increased globally, they have decreased in Sweden from 2006 - 2021, despite the lack of any nation-wide preventive strategy during this period. Understanding the reasons for this decline will provide useful strategies to make the decline a rule, rather than an exception.

BackgroundPacked lunches are a common feature of early childhood food provision, yet evidence describing their nutritional composition in early years settings remains limited. Understanding the foods provided during this developmental period is important, given the potential influence of early dietary exposures on later health. AimTo characterise the composition, nutritional quality, cost, and dietary patterns of packed lunches brought from home in Early Childhood Education and Care settings, and to examine variation by child age and area-level deprivation. MethodsA cross-sectional analysis was conducted using a remote food photography method to assess packed lunches provided for children aged 1-4 years attending early years settings across Essex, UK. Food items were categorised into predefined groups, and nutrient composition was estimated. Area-level deprivation was determined using the English Index of Multiple Deprivation (2019). Non-parametric tests assessed between-group differences. Principal components analysis (PCA) was used to identify patterns of co-occurring foods. ResultsA total of 389 packed lunches were analysed. Starchy foods (82%), fruit (81%), dairy or alternatives (72%), and savoury snacks (74%) were commonly provided, while vegetables were less frequent and fish was rarely observed (1.5%). Overall, 97.7% of lunches contained at least one ultra-processed food (UPF), with a median of three UPF items per lunch and 74% of total energy derived from UPFs. Median energy provision was 400 kcal (IQR 309-518). Nutrient composition was broadly similar across deprivation groups, although cake and biscuit counts and UPF item counts were modestly higher in more deprived areas. The median estimated lunch cost was {pound}1.79 and did not differ by deprivation. ConclusionsPacked lunches in early years settings frequently contained ultra-processed foods and showed considerable variability in nutritional quality. Socioeconomic differences were limited, suggesting that contemporary packed lunch practices may reflect influences operating across population groups. Further research across diverse regions is warranted to better understand the provision of packed lunches and their implications for early dietary exposure.

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.

Socioeconomic inequalities in health and well-being are a major public health concern, particularly in ageing populations. Education is a key determinant shaping multiple aspects of health outcomes. We used cross-sectional data from wave 9 of the German sample (n=4,148) of the Survey of Health, Ageing and Retirement in Europe (SHARE) to test whether formal education is associated with well-being in later adulthood, with health literacy, self-rated health, and preventive health behaviours as possible mediators. Our results showed that education was positively associated with greater well-being, but only via indirect pathways. Specifically, self-rated health, health literacy, and fruit and vegetable consumption mediated the relationship between education and well-being accounting for 54.7, 24.7, and 12.6 percent of the total effect, respectively. In addition, there were significant positive correlations between education and health literacy, as well as high-intensity physical activity, daily fruit and vegetable consumption, more preventive health check-ups, and less smoking. In contrast, alcohol consumption was more common among those with higher levels of education. All health behaviours and health literacy were correlated directly or indirectly (i.e., mediated by health) with well-being. These findings highlight the importance of examining indirect pathways linking education to well-being in later life. Interventions aimed at improving health literacy and promoting healthy behaviours may help reduce educational inequalities in quality of life among older adults.

ObjectiveTo test the effectiveness of a postpartum behavioural intervention delivered by automated text messaging in reducing weight. DesignTwo parallel group, multicentre, randomised controlled trial. SettingRecruitment from five areas across the United Kingdom (Belfast, Bradford, Stirling, London and Cardiff) through healthcare and community pathways, including social media. ParticipantsA diverse sample of 892 women between 6 weeks and 24 months postpartum, aged 18 years or more and with a body mass index of 25 kg/m2 or more, enrolled between May 2022 and May 2023: 445 were randomised to the intervention and 447 to an active control (comparator). InterventionsTwelve months of fully automated text messages with embedded behaviour change techniques and two-way messaging components to support weight loss and maintenance of weight loss in the postpartum period by targeting dietary, physical activity and weight management behaviours. The comparator group received 12 months of text messages on child health and development tailored to child age. Main outcome measuresPrimary outcome - weight in kilograms at 12 months (end of intervention). Secondary outcomes recorded at 6 and 12 months were changes in weight (at 6 months), body mass index, proportions of women with weight gain or loss of 5 kg or more, waist circumference, self-reported dietary intake, physical activity and infant feeding practices. Results674 (75.6%) participants were included in the primary analysis. There was no statistically significant difference found in the adjusted mean weight change between the intervention and active control groups (-0.1 kg (95% confidence interval -1.0 to 0.8, P= 0.84). Sensitivity analyses did not change these results. There was a small statistically significant improvement in Fat and Fibre Barometer scores at 12 months in the intervention compared with control group (adjusted mean difference 0.09, 95% CI: 0.04 to 0.14; P <0.001) and a statistically significant increase in physical activity scores (International Physical Activity Questionnaire - Short Form) at 12 months in the intervention group compared with the control group (adjusted mean difference 405.3 total MET minutes/week, 95% CI: 141.3 to 669.3; P= 0.003). ConclusionsA 12 month automated, interactive behavioural weight management intervention delivered by text message did not support weight loss for postpartum women but did have a positive impact on diet and physical activity behaviours. WHAT IS ALREADY KNOWN ON THIS TOPICWomen desire support with self-care behaviours such as diet, physical activity and weight management in the postpartum period, but little support is currently available. There is a lack of acceptable and effective weight management interventions designed for women during the postpartum period. Most previous studies in the field have been affected by poor recruitment, high rates of attrition, lack of diversity and have not adequately considered the lived experience of women. Mobile technologies can offer a more flexible and individualised any time, any place approach to behavioural weight management interventions that may be well suited to this stage of life. WHAT THIS STUDY ADDSThe trial methodology was highly acceptable to postpartum women and recruitment and retention targets were met. Overall, a fully automated two-way text message intervention did not support weight loss in a diverse sample of postpartum women from the United Kingdom but did support positive changes in diet, physical activity and infant feeding behaviours. Pre-specified engagement analysis showed that women who engaged most with the intervention did lose weight. There was no differential effect of the intervention across socioeconomic or ethnic groups.

PurposeAdequate hydration is vital for health, yet many people do not meet fluid recommendations. This study aimed to characterise the role of water and sugar-sweetened beverages in hydration across different levels of socioeconomic status (SES) in the UK. MethodsIn a pre-registered cross-sectional study, participants (N = 1,112) recalled beverages consumed on the previous day and reported urine colour as an indicator of their hydration status. We analysed water intake (H1), sugar-sweetened beverage (SSB) intake (H2), and SES (education; H3) as predictors of hydration status using stepwise binomial logistic regression adjusted for health, demographic, and lifestyle covariates. ResultsForty percent of participants were classified as underhydrated. Higher water intake was associated with a greater likelihood of adequate hydration: Drinking one extra glass of water per day (250 ml) increased the odds of being adequately hydrated by about 16%. However, SSB intake was not associated with hydration unless intake from other drink sources was held constant. Having a higher versus lower level of education was not significantly associated with hydration status, although finer-grained and income-based analyses suggested modest socioeconomic differences. ConclusionWater intake--rather than SSB intake--is the primary correlate of adequate hydration in this UK sample. Public health initiatives should emphasise the importance of water for hydration, invest in ways to make water more appealing, and promote the use of urine colour as a marker of hydration status.

BackgroundClimate change is increasingly recognised as a threat to population health and healthcare systems, yet the effects of environmental variability on pharmaceutical prescribing remain poorly characterised in the UK. Using a wide array of open-source datasets, we examine the effect of environmental, geographic and socioeconomic factors on prescribing habits in England. MethodsWe linked monthly, practice-level prescribing data for England (2010-2025) to meteorological, air-quality, flooding and demographic datasets using spatial nearest-neighbour matching. Prescribing volumes for cardiovascular, respiratory and antibiotic medications were analysed using log-transformed outcomes in mixed-effects models with practice-level random effects, adjusting for region, seasonality, deprivation and temporal trends, using both continuous environmental measures and extreme-condition indicators. A complementary Bayesian hierarchical model jointly estimated the conditional effects of multiple correlated environmental exposures, with partial pooling across practices and support for distributed lag effects. ResultsIn mixed-effects analyses, temperature showed the most consistent associations with prescribing, with higher temperatures linked to increased respiratory and cardiovascular prescriptions and reduced antibiotic use, while rainfall, flooding and most pollutants had small or negligible effects. Environmental predictors exhibited strong correlations, motivating multivariate modelling. Bayesian multivariate models confirmed temperature as the dominant environmental driver after adjustment for correlated exposures, with substantially larger variation attributable to regional and socioeconomic factors than to environmental conditions. ConclusionsTemperature is the most consistent environmental determinant of GP prescribing in England, with higher temperatures associated with increased cardiovascular and respiratory prescribing and reduced antibiotic use. Rainfall, flooding and most air pollutants show little evidence of meaningful effects once seasonal and meteorological structure is accounted for. Environmental associations are modest in magnitude relative to persistent socioeconomic and regional drivers of prescribing, indicating that climate-related influences operate within broader structural determinants of healthcare utilisation. These results suggest that, at monthly timescales, prescribing demand is relatively stable to environmental variability, supporting a focus on long-term adaptation and surveillance rather than short-term demand shocks in climate-resilient healthcare planning.

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.

BackgroundCentral obesity is a critical public health issue linked to non- communicable diseases and long-term maternal health risks. Women beyond the postpartum period often face barriers to weight management, yet limited evidence exists on their specific challenges and the role of healthcare systems in addressing them. This study aimed to assess central obesity among women beyond postpartum period, focusing on the associated challenges and available health support systems. MethodologyA cross-sectional design was employed whereby 120 women (1 to 5 years postpartum), aged 18 - 49 years, attending selected one private and two government health facilities in Morogoro Urban District participated. Face-to-face interviews using semi-structured questionnaires and anthropometric measurements of waist and hip circumference were conducted. Data were recorded using Kobo digital Toolbox. Key findingsHigh prevalence of central obesity, with 68.3% of participants having a waist circumference above normal ([&ge;]80 cm) was observed. Although no socio-demographic factor assessed showed a statistically significant association with central obesity, trends indicated higher odds among older (OR=1.544; 95% CI, 0.084-28.557), married (OR= 1.730; 95% CI, 0.612-4.892) and higher income women (OR= 4.878; 95% CI, 0.367-64.818). Lifestyle behaviors such as low physical activity, poor dietary habits and lack of portion control were prevalent. 57.5% reported lacking information on weight and waist management. Despite attending health care facilities, 94.2% of the women had never received guidance from health providers regarding weight or central obesity management and 95% reported not receiving any form of support such as nutrition counseling or exercise recommendations. ConclusionThe study concludes that central obesity is highly prevalent among women beyond postpartum period and is influenced by poor lifestyle behaviors and inadequate healthcare system support. It recommends integrating weight management strategies into routine postpartum care and strengthening healthcare systems to offer tailored guidance and support to women after childbirth.

BackgroundWith growing efforts aimed at optimizing health care services by reducing "low value care", medical deprescribing represents a critical policy challenge at the intersection of clinical quality, fiscal sustainability, and environmental stewardship. Despite growing evidence of its benefits, France lacks a comprehensive national framework for systematic medication review and deprescribing implementation. ObjectiveTo identify areas of consensus and divergence among key French stakeholders using an adapted Policy Delphi approach to inform national deprescribing policy development. MethodsAn exploratory survey was conducted among stakeholders across five groups (healthcare professionals, patients, academia, policymakers, and the pharmaceutical industry). Consensus levels were assessed using graded Likert scales and analysed across policy domains, including knowledge and training, collaboration, resources, policy support, and sustainability opportunities. ResultsHigh consensus emerged around knowledge gaps, the need for interprofessional collaboration, and clinical benefits of deprescribing. Moderate consensus existed regarding resource constraints and environmental sustainability. Divergence was observed between professionals/academia and policymakers/industry regarding financial incentives and regulatory readiness. A policy Delphi heatmap revealed specific alignment patterns that could serve as policy entry points. ConclusionsMulti-stakeholder consensus mapping provides an innovative governance tool for identifying actionable policy opportunities and contributes to recent tools aimed at reducing low-value care. High-consensus domains, including training, patient safety, and sustainability, offer immediate entry points for coalition-building. On the contrary, areas of divergence require structured dialogue and iterative policy learning among Frances fragmented governance structures to translate stakeholder alignment into systematic deprescribing implementation.

BackgroundObserved impacts of the COVID-19 pandemic in countries in the global north include increasing rates of maternal anxiety and depression. However, little research has been done in sub-Saharan Africa assessing the impact of the pandemic on maternal psychosocial stress. This study aimed to examine COVID-related psychosocial impacts among Ghanaian women who were pregnant during the pandemic. MethodsAn online survey was administered to Ghanaian mothers with children 0-15 months old from June 2021 to January 2022. Demographic and health information, health literacy (HL) information measured by the All Aspects of Health Literacy scale (AAHL), and COVID-19 health and well-being were collected. Using the Coronavirus Anxiety Scale (CAS) and the Obsession with Coronavirus Scale (OCS), mothers were asked to recall their levels of anxiety and worry while they were pregnant during the pandemic. Generalized linear models were used to assess the association between COVID-related impacts and maternal CAS and OCS scores. In-depth interviews were conducted to gather information from participants about their experiences of pregnancy and childbirth during the COVID-19 pandemic, and thematic analyses were performed using the social support networks in health framework. ResultsA total of 221 mother-child dyads were analyzed. Eleven women participated in the in-depth interviews. We observed a rate of 11% for probable dysfunctional coronavirus-related anxiety and 33% for probable dysfunctional thinking about COVID-19. In adjusted models for baseline characteristics, we observed that higher HL scores corresponded with reduced CAS scores ({beta}=-0.43, 95% CI [-0.80, -0.05] for every point increase in AAHLS scores). For COVID-related health and well-being, loss of jobs and wages predicted higher CAS scores when adjusted for HL as a main covariate ({beta}=1.30, 95% CI [0.07, 2.53]). Participants who reported exercising during COVID had higher OCS scores compared to those who reported not exercising, when adjusting for HL ({beta}=1.08, 95% CI [-0.01, 2.16], p=0.05). Themes emerging were categorized into three domains: COVID-19 Pandemic Impacts, COVID-19 Adaptations, and Social Support Networks. Conclusions and RecommendationsThis study assessing the impacts of the COVID-19 pandemic on maternal health and well-being provides valuable insights into the pandemics short-and medium-term effects. Given the complexity of the pandemics stress response, including potential intersections between psychosocial health, social support, and health literacy, public health policies must incorporate these needs into future pandemic responses. This includes leveraging telehealth and mHealth platforms for maternal mental health screening as well as providing community-based health literacy resources. Further studies examining the longer-term effects of the pandemic are also warranted.