Preventive Medicine

OBJECTIVE: To describe (1) US emergency department-treated pickleball injury burden and the injury-to-participation measure among total players, with burden among adults aged 60 to 79 years as a descriptive subgroup, and (2) determine whether general internet search interest for 'pickleball' is also associated with total pickleball-related injuries. DESIGN: Ecological time series study, United States, 2014 to 2023. DATA SOURCES: National Electronic Injury Surveillance System (NEISS) emergency department microdata yielded 1,738 adjudicated pickleball cases, 921 of them orthopedic, weighted to an estimated 101,450 injuries nationally. Google Trends, English Wikipedia pageviews, and GDELT news volume served as general pickleball attention signals, with the Trends index for 'sourdough' as a negative control. Sports and Fitness Industry Association (SFIA) participation estimates supplied a total player denominator. MAIN OUTCOME MEASURES: Annual national injury estimates with design-based 95 percent confidence intervals; injury-to-participation measures; and correlations between total pickleball-related injuries and general pickleball attention signals before and after removing trend and seasonality. RESULTS: Estimated emergency department-treated pickleball injuries rose 17.5-fold, from 1,391 in 2014 (highly unstable) to 24,294 in 2023. 70 percent of adjudicated cases involved adults aged 60 to 79. During 2017-2023, injury estimates rose 4.0-fold and participation rose about 4.4-fold. No temporal trend was detected in the injury-to-participation measure (P=0.59). Search interest looked like an excellent proxy: in annual levels it correlated with total pickleball-related injuries at R=0.96, and Pickleball Wikipedia pageviews at R=0.98. However, so did searches for "sourdough", at R=0.76. Removing trend and seasonality left little (monthly residual R=0.084; year-on-year R=0.28 over 96 months, 2015-2023), and the seasons ran opposite, with injuries peaking in February and searches in July, such that, on 12-month mean profiles, the sourdough negative control fitted the injury season (R=0.96) while pickleball ran against it (R=-0.40). General pickleball search interest and pickleball news coverage remained correlated in year-on-year changes in 2017-2023 (R=0.64), whereas their corresponding correlations with total pickleball-related injuries in 2017-2023 were 0.25 and 0.20. CONCLUSIONS: The absolute burden of emergency department-treated pickleball injury has grown substantially, but the available surveillance data cannot resolve whether the sport has become more hazardous per participant. The observed rise is consistent with growth in exposure alone. The strong correlation between search interest and injury counts was not specific, the association was substantially attenuated after detrending, and the seasonal patterns were opposed. These descriptive results do not establish that search interest can substitute for injury surveillance, and series that rise together should not be assumed to be related.

Background YouTube highlights packages are a major and growing route to football consumption, particularly among children and young people, but brand exposure within them has not been quantified. We measured unhealthy commodity brand exposure in English Premier League (EPL) and FIFA World Cup (WC) highlights. Methods We coded brand appearances lasting two or more seconds in 10 Sky Sports EPL highlights (final 10 games of the 2025/26 season) and 19 official FIFA 2026 WC highlights, recording commodity category, placement, and match moment, alongside pre-roll YouTube adverts. Data were collected between 4 June and 27 July 2026. Five highlights were double-coded (Cohen's kappa 0.85). Results Overall brand density was similar across competitions (13.1 vs 13.9 references per minute), but composition differed markedly. Unhealthy commodity branding occupied 38.0% of EPL screen time versus 18.7% at the WC, a difference driven almost entirely by gambling (32.6% vs 1.5%). Gambling appeared in every EPL package, mainly on pitchside boards and LED screens (50.4%), with front-of-shirt accounting for 27.1%. WC exposure was more evenly spread across HFSS food (13%), alcohol (4%) and trading/crypto/prediction markets (3.7%), and appeared almost exclusively pitchside. Gambling brands accounted for ten of twelve pre-roll EPL adverts (123 of 153 seconds); no gambling adverts preceded WC highlights. Conclusions Gambling dominates unhealthy commodity exposure in EPL highlights, both in-video and in pre-roll advertising. Because most appearances occur away from the front of shirt, the voluntary front-of-shirt sponsorship withdrawal will leave the majority of this exposure intact. The WC comparison shows that tighter central control of the advertising environment produces lower and more diffuse exposure, and that governments and governing bodies with such control could restrict unhealthy categories altogether.

BackgroundObservational comparisons of former smokers who use non-combusted nicotine products with former smokers who quit without them require that two quantities be measured precisely: which product is being used, and how long ago cigarette smoking stopped. Neither quantity is recorded by the National Health Insurance Service (NHIS) screening instrument used in a recent Korean cohort study of post-cessation e-cigarette use and lung cancer risk. We characterized both quantities in a contemporaneous, nationally representative survey of the same population. MethodsWe analyzed the public-release microdata of the Korea National Health and Nutrition Examination Survey (KNHANES), 2018 to 2023, restricted to adults aged 19 years and older. Former smokers were identified by smoking status, and cessation duration was taken from the item recording months since the last cigarette. Former smokers currently using a heated tobacco product (HTP) or an e-cigarette (EC) were compared with former smokers using neither. KNHANES 2018 asked a generic e-cigarette question and, separately, a checklist naming HTP brands, allowing the two product classes to be separated. Distributions were compared with rank-based methods, the age-duration relationship with Theil-Sen regression, and residual imbalance by restricting the comparison group to respondents age-matched to within two years. ResultsThe 2018 analytic sample comprised 1,348 former smokers, of whom 43 currently used HTP or EC and 1,305 used neither. Among the product-using former smokers, 58% reported HTP use without e-cigarette use, 21% reported both, and 21% reported e-cigarette use without HTP use; 79% reported any HTP use. Median cessation duration was 0.7 years (IQR 0.25 to 1.5) among product users and 12.0 years (IQR 5.0 to 20.0) among those using neither (Kolmogorov- Smirnov D = 0.76, P < 0.001), with the product user having quit more recently in 92% of cross-group pairs. The separation persisted within the short-term (<5 year) stratum (D = 0.34, P < 0.001; 73% of pairs) and after age matching, where the residual gap was 9.3 years. Cessation duration rose with age among those using no product (Theil-Sen slope +0.30 years per year) but was flat among product users (-0.01). Restricting to the screening-eligible stratum used in the cohorts high-risk analysis did not attenuate the imbalance: among those aged 50 to 80, median cessation among no-product quitters rose to 15.5 years (n = 858), and adding a 20 pack-year criterion left 421 no-product quitters with a median of 11.0 years against three HTP/EC users who had quit 0.25, 1.0 and 2.0 years earlier, despite closely matched cumulative exposure (mean 37.6 vs 37.7 pack-years). The overall contrast reproduced in every wave from 2018 to 2023, with an age-matched residual of 9 to 11 years. ConclusionsIn a nationally representative survey of the same population and the same calendar year as the NHIS screening cohort analyzed by Kim et al., Korean former smokers using non-combusted nicotine products differed from other former smokers in two respects that bear directly on how such comparisons should be read. First, they were predominantly HTP users: 79% reported any HTP use, and only 21% reported e-cigarette use without HTP use. Second, they had stopped smoking approximately a decade more recently, a difference that survived stratification at five years and exact age matching. Neither quantity is recorded in the NHIS screening instrument. Cohort estimates comparing post-cessation product users with other quitters should therefore be interpreted with caution if they do not precisely characterize product composition and to time since cessation, and future studies should measure both directly.

BackgroundSocial isolation (SI) is an established risk factor for chronic disease and mortality. How people travel, including the modes of transportation they use, may shape opportunities for social interaction and influence the impacts of SI. This study assessed heterogeneity of the association between SI and mortality across primary modes of non-commute transportation. MethodsWe analyzed cohort data from the UK Biobank, following participants aged 40-69 years from 2006 to 2022. SI at baseline was derived from three items and dichotomized. Cox models were used to estimate the association between SI and mortality, adjusting for socioeconomic factors, health behaviours, and comorbidities. Effect modification by participants primary mode of non-commute transportation was assessed using interaction terms with SI. ResultsThere were 490,114 participants with complete baseline exposure data. SI was associated with increased hazard of all-cause (Hazard Ratio [HR] = 1.34, 95% Confidence Interval [CI]: 1.31-1.38) and cardiovascular mortality (HR = 1.49, CI: 1.41-1.57). The association with cardiovascular mortality was stronger among participants who only used public transport compared with those who only used a car (interaction HR = 1.17, CI: 1.00-1.37). In contrast, using a car alongside active or public transport, compared to using a car alone, attenuated the association between SI and all-cause mortality (interaction HR = 0.93, CI: 0.87-0.99). ConclusionMixed transport, including a car, showed the greatest reduction in the association between SI and all-cause mortality. Our findings motivate further exploration of the role of transportation modes in enhancing social connection, mobility, and health.

Objective We characterized social determinants of health (SDOH) in U.S. children who ever and never had Long COVID. Methods We used cross-sectional data from the 2022-2023 National Health Interview Survey (N=14,993 children 0-17 years). Parents reported child- and household-level information. Long COVID was defined as ever experiencing symptoms lasting [&ge;]3 months that were not present prior to having COVID-19. We produced weighted prevalence estimates by Long COVID status for 3 SDOH domains (Social and Community Context, Healthcare Access and Quality, and Economic Stability) and used Rao-Scott chi-squared tests to examine differences. Results In Social and Community Context, children who ever had Long COVID more often resided in single parent households (33.2% vs. 20.3%; p<0.0001), with someone with severe depression or mental illness (18.5% vs. 8.3%; p<0.0001) or substance abuse (16.7% vs. 8.1%; p<0.0001) or had a lifetime of being disparaged by adults in the home (9.2% vs. 3.9%; p=0.0009). In Healthcare Access and Quality, children who ever had Long COVID more often had public insurance (e.g., Medicaid) (51.3% vs. 41.6%; p=0.02), higher healthcare use, and difficulty paying medical bills (23.2% vs. 12.2%; p<0.0001). In Economic Stability, children who ever had Long COVID had lower parental education, lower food security, and higher participation in social safety net programs (p<0.01 for all comparisons). Conclusion Children who ever had Long COVID more frequently experienced adverse SDOH compared to their peers who never had Long COVID. These findings may help identify children who may benefit from additional resources related to their Long COVID care.

Objective: To examine associations of health insurance status, household income, and cost-related healthcare barriers with receipt of a routine medical checkup among U.S. adults. Methods: This cross-sectional study analyzed 2024 Behavioral Risk Factor Surveillance System data. Survey-weighted descriptive estimates and multivariable logistic regression incorporated sampling weights, strata, and primary sampling units. The outcome was a routine medical checkup within the previous 12 months. Results: Among 321,592 complete cases, 78.0% of U.S. adults reported a recent routine checkup. Cost-related barriers (adjusted odds ratio [AOR], 0.56; 95% confidence interval [CI], 0.54-0.57) and uninsurance (AOR, 0.28; 95% CI, 0.27-0.29) were associated with lower checkup utilization. Lower household-income groups generally had lower adjusted odds than adults with incomes of $200,000 or more. Conclusions: Insurance, income, and reported cost barriers were independently associated with routine checkup utilization. Findings are descriptive and do not establish causal effects. Keywords: health insurance; household income; cost-related barriers; routine medical checkup; healthcare utilization; BRFSS

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 The role of population-wide smoking cessation campaigns is uncertain as smoking prevalence reaches historically low levels. We examined whether the Power to Quit campaign in England, which aimed to increase uptake of evidence-based cessation support, particularly digital aids, was associated with changes in quitting behaviour. Methods We analysed nationally-representative cross-sectional surveys of adults in England who smoked in the past year, conducted immediately before (n=803) and after (n=1,713) the campaign (February-April 2026). Logistic regression estimated associations with quit attempts, digital cessation support, local Stop Smoking Services (SSS), and quit success, overall and by social grade. Exploratory analyses examined participants recognising campaign materials (n=799). Smoking Toolkit Study (STS) data (January 2023-June 2026; n=11,442) were used to contextualise findings against longer-term trends. Results In the primary pre/post analysis, there were increases in quit attempts (48.4% to 52.3%, aOR=1.16 [95%CI=0.97-1.38]), attempts involving digital support (16.0% to 18.4%, aOR=1.18 [0.92-1.50], and attempts involving SSS (2.4% to 3.6%, aOR=1.53 [0.89-2.65]), although estimates were uncertain. Associations were larger among participants recognising campaign materials (quit attempts: 64.9%, aOR=1.82 [1.47-2.26]; digital support: 28.7%, aOR=1.88 [1.44-2.45]; SSS: 5.4%, aOR=2.14 [1.19-3.88]). Increases in support uptake were particularly evident among less advantaged adults. There was no clear evidence of a change in quit success. STS data showed increases in support uptake continued from before the campaign. Conclusions Power to Quit coincided with increased engagement with cessation support, particularly among less advantaged adults and those recognising campaign materials. Increases in support continued pre-campaign trends, indicating that the contribution of the campaign occurred within a broader period of changing cessation behaviour.

Background: Suicide rates are highest among older adults. Yet, little is known regarding differences in suicide risk of older adults in Austria. This nationwide, retrospective cohort study aimed to characterize suicides among older adults in Austria during 2014-2023 and examine differences those who were young-old (65-74), middle-old (75-84), and oldest-old (85 +). Methods: We applied a cohort design to individual-level linkage data on all residents in Austria aged 65 years and older during 2014-2022 (N = 2,442,939). We compared characteristics of individuals who died by suicide and other causes of death, as well as by age group (i.e., young-old, middle-old, oldest-old) using trend tests and odds ratios. We calculated crude incidence rates of suicide per age group and sex. Results: During 2014-2023, 4,724 older adults died by suicide in Austria. The overall suicide rate was 23.4 per 100,000 person-years, while males had higher rates than females. Suicide rates increased with age and peaked among the oldest-old (33.2/100,000). Hanging, firearms, and jumping were the predominant methods, and the prevalence of hanging increased relative with increasing age. With increasing age, also widowhood and cardiovascular and genitourinary disorders were more prevalent among those who died by suicide. Conclusions: In Austria, oldest-old adults have the highest suicide rates, especially for males. whereas rates were considerably lower and did not change throughout old age for females. Distinct differences in suicide rates with respect to marital status, health conditions, and suicide methods. This emphasizes the need for preventive strategies to target older adults at different stages of life.

While the public perceives e-cigarettes as less harmful than combustible tobacco, little is known about their specific health concerns regarding vaping. We demonstrate a data-driven strategy to discover the public's health concerns about vaping e-cigarettes expressed on social media. We obtained all public posts from the largest e-cigarette-related subreddit, r/electronic_cigarette, from its inception on September 17, 2008, through April 1, 2022 (N = 10,403,433). We identified health concerns attributed to vaping by (a) selecting all cause phrases containing "cause" and its inflections, (b) calculating the empirical frequency ratio of words and bi-grams occurring in these phrases relative to random phrases, (c) retaining the 10% of words with the greatest empirical frequency of occurring in cause phrases, and (d) annotating this sample for health-relevant concerns and their subjects. In total, 76,342 posts contained cause phrases, with increased volume over time. Of the 425 words most strongly associated with cause phrases compared to random phrases, 53.4% (95%CI, 48.7-58.1) were identified as health-relevant. The top health-related concern was lipoid pneumonia, cited in 5.9% (95%CI, 5.0-6.8) of all cause phrases, followed by pneumonia (4.1%; 95%CI, 3.3-4.9), and nausea (2.7%;95%CI, 2.0-3.4). The top health concern subjects were respiratory, representing 23.7% (95%CI, 18.5-29.5) of all cause phrases, followed by gastrointestinal (12.7%; 95%CI, 8.8-17.2) and cardiovascular (8.5%; 95%CI, 5.3-12.3) concerns. Other subjects included neurological, dermatological, oral health, sexual health, psychiatric, oncologic, addiction, and sleep concerns. Because our strategy relies on data-driven techniques, our analysis can be integrated into routine social media monitoring and applied across different types of social media and text data, potentially leading to more timely identification of emerging concerns and a broader understanding across platforms. As a result, experts can craft messaging that accounts for current perceptions held by the public using our method.

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.

Financial well-being (FWB) encompasses objective and subjective financial status and may influence health. We developed and validated a parsimonious FWB index using data from 23,006 Health and Retirement Study (HRS) participants aged 50 years and older from 2006 to 2022. The FWB-5 Index was derived using correlated two-factor confirmatory factor analysis accounting for household clustering. Indicators included household wealth, household income-to-poverty ratio, monthly financial strain, satisfaction with one's financial situation, and perceived financial mastery. We assessed convergent and discriminant validity using the Consumer Financial Protection Bureau Financial Well-Being (CFPB-FWB) Scale and Satisfaction with Life Scale, respectively. Associations with pre-baseline socioeconomic factors and subsequent depressive symptoms and health conditions were examined to assess construct and predictive validity. Model fit indices supported the two-factor structure (robust comparative fit index = 0.99; robust root mean square error of approximation = 0.05). Correlations were stronger with the CFPB-FWB Scale (Spearman P = 0.80) than with life satisfaction (Spearman P = 0.43). Associations with socioeconomic factors and subsequent health outcomes were in the hypothesized directions. These findings support the FWB-5 Index as a parsimonious measure for examining financial well-being and its associations with health across HRS waves, including those predating the CFPB-FWB Scale.

Background: Cardiovascular-Kidney-Metabolic Syndrome (CKMS) is defined as a cluster of disease conditions that are highly prevalent in the U.S. population. This study aims to assess psychosocial adversities at different CKMS stages in a large survey of U.S. adults, measured by lack of emotional support, low life satisfaction, and loneliness. Methods: This cross-sectional study used data on 159,511 adults from the 2023 Behavioral Risk Factor Surveillance System (BRFSS) survey. Proxy CKMS stages (0, 1, 2/3, and 4) were determined using self-reported health conditions. Separate multivariable logistic regression models were estimated to obtain the predictive margins of respective psychosocial attributes across proxy CKMS stages. Results: Compared to adults at lower CKMS stages (Stages 0 and 1), adults at advanced CKMS stages (Stages 2/3 and 4) generally reported having higher psychosocial toll. At CKMS stage 4, the predicted probabilities of lack of emotional support, low life satisfaction, and loneliness were 6.96, 3.24, and 10.10 percentage points (pp) higher, respectively, than at stage 0. Compared to stage 1, the corresponding differences were 5.92, 2.89, and 9.65 pp. At CKMS stage 2/3, the corresponding differences were 4.36, 1.66, and 5.69 pp compared to stage 0 and 3.33, 1.32, and 5.25 pp compared to stage 1. The high burden at advanced CKMS stages was generally evident across sex, and different socioeconomic status conditions manifested by income and education. Conclusions: Findings of this study suggest that adults with advanced CKMS stages were more likely to experience a psychosocial toll. Further research is warranted to facilitate strategies for improving psychosocial wellbeing of CKMS patients.

Introduction: Breast, cervical, and colorectal cancer screening guidelines changed substantially between 2010 and 2019. We examined trends in the annual utilization of these screenings among commercially insured enrollees in the United States from 2010 to 2019 by age group, geographic region, and screening modality. Methods: We conducted a retrospective, serial cross-sectional analysis of the MarketScan Commercial Claims Database from 2010 through 2019, comprising approximately 141.2 million privately insured enrollees. Annual screening rates, defined as the proportion of eligible enrollees receiving a given test within each calendar year, were estimated for cervical, breast, and colorectal cancer using procedure codes, stratified by age group, screening modality, and geographic residence. These reflect annual utilization rather than up-to-date (guideline-concordant) screening. Temporal trends were evaluated using two-sided Poisson regression, and urban-rural disparities in 2019 were assessed using multivariate generalized estimating equations. Results: Cancer screening utilization remained stagnant or declined across all three cancer types over the study period. Among women aged 30-64 years, cervical cytology alone declined substantially from 28.2% in 2010 to 8.8% in 2019, while co-testing increased from 11.4% to 20.3%. Screening mammography among women aged 50-64 showed minimal change, remaining stable at 45.7% in 2010 and 45.8% in 2019. Colorectal cancer screening across enrollees aged <64 decreased modestly from 7.7% in 2010 to 6.5% in 2019, with a more pronounced decline among adults aged 45-49 years. Across all three cancer types, screening utilization was higher among urban residents than rural residents, with incidence rate ratios ranging from 1.02 to 1.05 in 2019. Conclusions: Utilization of cervical, breast, and colorectal cancer screening among commercially insured adults did not improve between 2010 and 2019. Persistent urban-rural disparities highlight ongoing gaps in preventive care delivery. Targeted interventions may help improve screening utilization, particularly in rural and underserved populations.

Objectives To describe active surveillance (AS) outcomes following introduction of an MRI-informed pathway, examine whether baseline PI-RADS/Likert scores identify men with earlier AS discontinuation, and assess the acceptability of dietary fibre supplementation in men on AS. Patients and methods We conducted a retrospective audit of 420 men enrolled in AS at Aberdeen Royal Infirmary between 2012 and 2022. Men were grouped into an MRI-informed pathway (n=198) or biopsy-first pathway (n=222). Time to AS discontinuation for any reason was analysed using Kaplan-Meier methods and log-rank tests. An exploratory analysis compared men with baseline PI-RADS/Likert scores of 4-5 and 2-3. Ten men on AS also completed semi-structured interviews analysed using the Theoretical Framework of Acceptability. Results Median follow-up was 3.1 years (IQR 1.6-5.1). Overall, 208 men (49.5%) discontinued AS, including 176 because of disease progression. Median time to discontinuation was 4.9 years (95% CI 4.4-5.6). It was shorter in the MRI-informed pathway than in the biopsy-first pathway (4.1 vs 5.6 years; log-rank p<0.01). Among 167 men with recorded baseline MRI scores, 44 (26.3%) had PI-RADS/Likert 4-5. Median time to discontinuation was 2.9 years in this group compared with 4.0 years for scores 2-3 (p<0.01). Interview participants were generally willing to consider dietary fibre supplementation, although gastrointestinal effects and study procedures were anticipated burdens. Conclusion AS discontinuation occurred earlier in the MRI-informed pathway, although differences in patient selection and surveillance practice should be considered when interpreting this finding. PI-RADS/Likert 4-5 identified a sizeable subgroup with earlier all-cause AS discontinuation that may help inform recruitment to future intervention studies. Dietary fibre supplementation was acceptable in principle, supporting further feasibility work.

Aims: Religiosity and spirituality (R/S) are generally associated with a more favourable cardiovascular risk profile, but longitudinal evidence is limited. We examined whether multidimensional R/S predicts its future behavioural and biological components. Methods: This prospective cohort study analysed 6,844 adults aged [&ge;]50 (56% women; mean R/S score 2.1; 20% weekly attenders; 81% Christian) from waves 4-7 of the English Longitudinal Study of Ageing (ELSA). Behavioural outcomes included smoking, exercise, alcohol intake, and fruit and vegetable consumption; biological outcomes included blood pressure (BP), haemoglobin A1c (HbA1c), and the inflammatory risk markers C-reactive protein (CRP) and fibrinogen. R/S was assessed with four items from the Santa Clara Strength of Religious Faith Questionnaire. Hierarchical linear and logistic regressions adjusted for age, sex, wealth, education and ethnicity; biomarker models also adjusted for health behaviours and body mass index. Results: Greater spirituality (B=-0.019; 95%CI[-0.036,-0.003]), daily prayer/meditation (B=-0.017; 95%CI[-0.032,-0.002]), participation in organized religion (B=-0.017; 95%CI[-0.032,-0.002]), and importance of religious faith (B=-0.017; 95%CI[-0.033,-0.002]) were independently associated with lower fibrinogen levels. Daily prayer/meditation also independently predicted higher fruit and vegetable intake (B=0.004; 95%CI[0.000,0.008]). However, frequent attendance (OR=0.846; 95%CI[0.730,0.982]), the significance of faith (OR=0.935; 95%CI[0.879,0.994]), and religious purpose (OR=0.939; 95%CI[0.884,0.997]) independently reduced the odds of meeting exercise recommendations. Similarly, frequent attendance was associated with higher HbA1c (B=0.002; 95%CI[0.000,0.005]). There were no independent associations with CRP or blood pressure. Conclusion: R/S showed mixed prospective associations with the cardiovascular risk profile: favourable for fibrinogen and fruit and vegetable intake, unfavourable for physical activity and HbA1c.

Background: Limited evidence motivated us to examine risk of suicide after partner loss among older adults in Austria. Methods: All married older adults aged [&ge;]65 years and living in Austria (N=1,293,557) were followed during 2014-2023. Risk ratios (aRRs) for partner loss were calculated based on adjusted cumulative incidence functions. Results: A total of 357 suicides occurred among widowed older adults. Incidence rates among widowed and not widowed were 56.9 and 29.4 per 100,000 person-years, respectively. High rates were found among widowed males (170.8/100,000) and widowers aged [&ge;]85 (94.1/100,000). Suicide risk was highest in the first month (aRR, 13.6; 95%-CI: 8.7,22.4) but remained elevated up to five years after partner loss (aRR, 2.5; 95%-CI: 2.1, 2.8). Conclusion: Recently bereaved older adults had elevated risks of suicide suggesting monitoring and psychosocial support may be beneficial when bereaved.

Importance: While increased physical activity (PA) and decreased sedentary behavior (SB) are associated with favorable health outcomes, evidence regarding their causal effects on healthcare costs remains limited. Objective: To assess the causal effects of PA and SB on healthcare costs. Design: A two-sample Mendelian randomization (MR) study. Setting: Separate, non-overlapping cohorts with genetic instruments for self-reported and device-based PA and SB, and healthcare costs. Participants: The instruments used to assess self-reported PA were derived from a genome-wide meta-analysis of 606,820 individuals across 51 cohorts. Two large genome-wide association studies (GWASs) were used for self-reported SB (leisure screen time N=526,725; television watching N=408,815), while accelerometer-based GWASs (N=89,683-91,105) were used for device-based PA and SB. The instruments used to assess the outcome data were obtained from the FinnGen cohort (N=373,160). Exposures: Genetically predicted PA and SB. Main Outcomes and Measures: Validated genetic instruments for log-transformed annual healthcare costs derived from registers, including primary care, secondary care, and medication costs. Inverse variance weighting was used as the primary MR measure, while the sensitivity analyses included MR-Egger, weighted median, simple mode, weighted mode, F-score, Cochran's Q, and leave-one-out analysis. Results: Higher genetically predicted self-reported PA was associated with lower healthcare costs (causal estimate, {beta} = -0.166; 95% CI, -0.270 to -0.062). In contrast, higher genetically predicted SB (leisure screen time or television watching) was associated with higher healthcare costs across self-reported datasets ({beta} = 0.097; 95% CI, 0.064 to 0.130; {beta} = 0.114; 95% CI, 0.063 to 0.165, respectively). No associations were observed for device-based PA ({beta} = -0.014; 95% CI, -0.040 to 0.014) or SB ({beta} = -0.009; 95% CI, -0.197 to 0.179). Conclusions and Relevance: Findings based on genetically predicted PA and SB support a causal association between these behaviors and healthcare costs, suggesting that increasing population's leisure-time PA and reducing SB may decrease healthcare expenditure. This highlights the importance of promoting PA for both population health and long-term sustainability of healthcare systems. However, causal evidence remains partly limited, particularly for device-based measures of these behaviors.

Background: Built environment characteristics have been associated with depressive symptoms, whilst active travel behaviour is linked to improved mental health. However, it remains unclear whether active travel buffers associations between increased exposure to the built environment and worse mental health. Methods: In this pre-registered study, participants were 10,310 mothers (mean age = 28.11, SD = 4.83) participating in the Avon Longitudinal Study of Parents and Children (ALSPAC). A latent built environment factor was measured at study enrolment, active travel behaviour at a 2-year follow-up, and depressive symptoms at a 4-year follow-up. Moderation was examined using adjusted linear regression models including an interaction term between the built environment factor and active travel behaviour. Results: The built environment factor was positively associated with depressive symptoms ({beta} = 0.023, p = .012). Active travel behaviour was not associated with depressive symptoms ({beta} = -0.002, p = .854) and did not moderate the association between the built environment factor and depressive symptoms ({beta} = -0.002, p = .865), after adjusting for covariates, including age, familial depressive history, socioeconomic risk factors, physical activity, baseline depressive symptoms and smoking. Conclusion: Contrary to expectations, active travel behaviour does not modify associations between the built environment and depressive symptoms. These findings provide no evidence that active travel mitigates mental health risks associated with the built environment in this population.

Seasonal Influenza and COVID-19 vaccination programmes are critical for reducing morbidity and mortality in older adults, yet uptake remains uneven across populations. We aimed to profile vaccination attitudes and examine predictors of COVID-19/influenza vaccination uptake among a UK participatory surveillance system - FluSurvey. We analysed FluSurvey data from participants aged [&ge;]65 years who were eligible for both vaccines in the 2023-2024 and 2024-2025 Autumn - Winter seasonal campaigns. Descriptive analyses examined self-reported attitudes to influenza vaccination. Logistic regression examined factors (age, sex, socioeconomic status, education, employment, transport, smoking and chronic conditions) associated with influenza and COVID-19 vaccination uptake in each season, adjusting for confounders. Belonging to a risk group and reducing risk of influenza were frequently reported motivations for influenza vaccination, while building natural immunity and concerns around safety and adverse effects were frequently reported barriers. Individuals vaccinated against COVID-19 were more likely to receive an influenza vaccination (aOR2023-2024=13.90 [9.28-21.17]; aOR2024-2025=8.54 [5.82-12.60]), and vice-versa (aOR2023-2024=13.91 [9.30-21.19]; aOR2024-2025=8.52 [5.81-12.58]). Lower educational attainment was associated with lower odds of COVID-19 vaccination (aOR2023-2024=0.59 [0.45-0.78], aOR2024-2025: 0.56 [0.39-0.79]). Other results were weaker or demonstrated variation by season. Our findings highlight recent attitudes and barriers to influenza and COVID-19 vaccination among the FluSurvey cohort, which may inform approaches to improve vaccination coverage in the population.