Preventive Medicine

Background: Over half of U.S. women have hypertension, a strong but modifiable risk factor for cardiovascular diseases. Personal care products (PCPs) are widely used in daily life and contain endocrine disrupting chemicals that can alter hormonal regulation of blood pressure. However, the relationship between PCPs and hypertension has not been well studied. We investigated whether patterns of PCP use were associated with incident hypertension in a large prospective cohort study of U.S. women. Methods: Sister Study participants were recruited in 2003-2009 and followed until September 30, 2021. Usage frequency of 41 PCPs in the 12 months before baseline was self-reported. Latent class analyses identified groups with similar PCP use patterns ("infrequent," "moderate," or "frequent"). At baseline, we excluded women with prevalent hypertension, antihypertensive medication users, or those missing hypertension status. Multivariable Cox regression was used to estimate associations between PCP use and incident self-reported hypertension. Results: During a mean follow-up of 11.4 years, 10,099 women developed hypertension. Frequent PCP use was associated with higher hypertension risk [HR=1.08 (95% CI: 1.03, 1.13); p-trend=0.003], with a 4.1% population attributable risk. Frequent users of beauty products had higher risk than infrequent users [HR=1.11 (95% CI: 1.05, 1.16)]. Moderate and frequent users of hygiene products also had increased risk [HR=1.07 (95% CI: 1.01, 1.13); HR=1.13 (95% CI: 1.08, 1.19)]. Conclusions: Frequent PCP use, especially beauty and hygiene products, was associated with incident hypertension. Our findings implicate everyday chemicals as modifiable cardiovascular risk factors and highlight the need to identify pathogenic components in widely used consumer products.

Background: Self-reported confidence in health information seeking does not reliably predict accurate health knowledge, yet the population-level distribution of this discordance and its demographic predictors have received limited direct study. This study aimed to identify and characterize a Confident-Incorrect phenotype among U.S. adults: individuals with high perceived health information competence who simultaneously hold inaccurate or fatalistic beliefs about cancer. Methods: Cross-sectional analysis of HINTS 7 (N = 7,278). A Confidence Index (3-item digital literacy composite (Cronbach's = 0.674) and an Evidence-Consistent Knowledge Score (factual cancer knowledge minus a cancer fatalism composite; fatalism subscale = 0.563) were computed and combined into a discordance framework. Median-split classification produced four phenotypes. Gaussian Mixture Model clustering with four components provided moderate independent validation (inter-method agreement = 65.2%). Survey-weighted multinomial logistic regression (n = 5,771; McFadden pseudo-R2 = 0.129) examined phenotype predictors. Results: An estimated 20.3% of U.S. adults were classified as Confident-Incorrect. They reported confidence levels similar to Well-Informed adults (z = 0.72 vs. 0.82) but scored 2.8-fold lower on objective cancer knowledge (0.74 vs. 2.06 out of 4) and exhibited the highest cancer fatalism of any phenotype (3.17 vs. 1.65 out of 4). Only 14.3% correctly identified alcohol as a cancer risk factor (vs. 58.8% of Well-Informed adults). Cancer screening rates did not differ meaningfully across phenotypes. Lower education (OR = 0.754), Hispanic ethnicity (OR = 1.788), non-Hispanic Black race (OR = 1.893), higher social media use (OR = 1.097), and lower trust in scientists (OR = 0.749) independently predicted Confident-Incorrect membership. Conclusions: An estimated one in five U.S. adults is overconfident in health information competence while holding substantially inaccurate beliefs about cancer prevention. Cancer screening rates did not follow the expected gradient across phenotypes, a null finding that cautions against inferring immediate behavioral impact from observed belief gaps. Interventions targeting specific factual errors and cancer fatalism are more likely to reach this group than general health literacy programs.

Abstract Aims To examine which demographic groups nicotine pouch advertisers chose to target on social media, and which groups Meta's algorithms actually delivered the adverts to. Design Cross-sectional analysis of advert-level data from the Meta Ad Library. Setting Meta social media platforms (including Facebook and Instagram) in the UK. Cases A random sample of 741 nicotine pouch adverts shown in the 12 months up to December 2025, and a comparison sample of 1,125 general adverts. Analyses of reach were restricted to adverts eligible for all genders and adult ages (444 pouch adverts; 674 general). Measurements Outcomes were advertiser-set gender and age-group targeting criteria (i.e., groups eligible to be shown each advert) and estimated advert reach to each group (i.e., number of people who saw each advert). Male-to-female reach ratios within age groups, and reach ratios comparing age groups, were calculated per advert and summarised using geometric means. To assess whether patterns were pouch-specific, comparisons with general adverts were made using ratios of reach ratios (RRR). Findings Advertisers of nicotine pouches targeted a broad sample; most adverts (79.1%; 586/741) were eligible to be shown to all genders, the remainder were restricted to men only. All were restricted to adults (minimum age 18 years) and most (95.6%; 708/741) had no upper age limit. Despite this, of pouch adverts eligible to be shown to all adults, adverts were more likely to reach men, particularly among younger men. Among 18-24-year-olds, pouch adverts reached around ten times as many men as women (RR 10.0, 95% CI 8.7-11.5), compared with a slight skew towards women for general adverts (RR 0.81, 95% CI 0.71-0.94), corresponding to an RRR of 12.3 (95% CI 10.0-15.1). Pouch adverts also showed a skew in reach towards younger age groups. Relative to those aged 35-44 years, reach was higher among 18-24-year-olds for nicotine pouch adverts (RR 1.33, 95% CI 1.17-1.51) but much lower for general adverts (RR 0.19, 95% CI 0.17-0.21), corresponding to an RRR of 7.0 (95% CI 6.0-8.2). Conclusions Nicotine pouch adverts on social media are often eligible to be shown broadly to all demographic groups but are disproportionately delivered to young men.

Background and Objectives: Arts and cultural engagement may contribute to well-being in later life. However, evidence from longitudinal studies from Asia, including Japan, remains limited. This study examined the association of arts and cultural engagement with subsequent multidimensional well-being among older adults in Japan, one of the fastest-aging countries. Research Design and Methods: This longitudinal study used panel data from 354 individuals aged 60 and older (mean age 74.0 years; 78.6% women) who completed self-administered questionnaires by mail between 2022 and 2024. The PERMA-Profiler was used to assess five multifaceted aspects of psychological well-being: positive emotion, engagement, relationships, meaning, and accomplishment. Frequencies of arts and cultural engagement at baseline were measured for active (e.g., activities by individuals and participation in groups, such as music and painting) and receptive (e.g., visiting museums, galleries, and theaters) forms. Results: Multivariable linear regression analysis, adjusted for the covariates including baseline PERMA scores, showed that higher frequencies of active engagement were positively associated with higher PERMA scores for all domains. Higher frequencies of receptive engagement were associated with the domains of positive emotion, meaning, and accomplishment, but not clearly associated with engagement and relationships. Restricted cubic spline analyses suggested clearer positive frequency-response patterns for active engagement than for receptive engagement. Discussion and Implications: Arts and cultural engagement, both active and receptive forms, was associated with subsequent multiple aspects of well-being in later life. These findings suggest the importance of ensuring access to arts and cultural opportunities for older adults to create, participate, and connect.

Background Meat processing plants in Alberta, Canada experienced among North America's largest COVID-19 outbreaks. We examined health impacts among workers by occupational hierarchy and equity-relevant characteristics. Methods This exploratory sequential mixed-methods study was guided by community-based participatory research and the PROGRESS-Plus framework. Multilingual qualitative interviews and surveys using validated instruments were conducted among meat plant workers who experienced outbreaks. Interviews were analysed using inductive-deductive thematic analysis. Multivariable logistic regression and linear regression estimated associations between occupational group, racialization, facility, and self-reported COVID-19 diagnosis, physical and mental health, and mean Everyday Discrimination Scale score. We integrated findings using joint displays. Findings Qualitative and integrated analysis of thirty-six interviews described occupational hierarchy shaping unequal protection, limited communication, constrained agency, and psychosocial harms, amplified by income insecurity and family separation. Among 187 survey respondents, compared with general labour, skilled labour (aOR 0.38; 95% CI 0.15-0.89) and management (aOR 0.13; 95% CI 0.01-0.75) had lower odds of reported COVID-19 diagnosis. Compared with Black workers, other racialized workers had lower odds of reporting fair or poor mental (aOR 0.24; 95% CI 0.09-0.58) and physical health (aOR 0.20; 95% CI 0.06-0.54). Compared with workers from the primary facility, others reported lower mean everyday discrimination scores ({beta} = -0.54; 95% CI -0.96 to -0.12). Interpretation COVID-19 harms followed workplace social hierarchies. Pandemic preparedness should combine infection-control measures with paid sick leave and income protection, multilingual communication, enforceable anti-discrimination standards, and independent reporting mechanisms. Funding Canadian Institutes for Health Research (CIHR Application no. 469206). Keywords COVID-19, immigrant workers, migrants, essential workers, health equity, occupational health, PROGRESS Plus

Objective: To verify the association between perceived social & emotional support and self-reported food insecurity in the United States Design: Cross-sectional secondary data analysis Setting: Behavioral Risk Factor Surveillance System (BRFSS) data from 2024, collected via a nationwide telephone survey. Food insecurity was defined as responding always, usually, or sometimes to "During the past 12 months how often did the food that you bought not last, and you didn't have money to buy more?" Social support was measured using a BRFSS item assessing the frequency with which respondents received the social and emotional support they needed. Adjusted logistic regression models were used to assess the relationship between these variables while controlling for a wide variety of demographic, socioeconomic, and health status factors. Participants: Adults (n = 190,577) aged 18-80 years old (72.3% non-Hispanic White) Results: Individuals who reported only "sometimes" receiving the social and emotional support they need were more likely to report food insecurity as compared to those who "always" receive such support (aOR = 1.75; 95% CI 1.56, 1.96). Conclusions: These findings indicate that decreased social support may put individuals at higher risk of food insecurity. Future work should seek to understand the mechanisms of this association to inform targeted policy and other interventional programs.

Medical discrimination may alter how patients relate to health information sources following adverse care encounters. We examined whether discrimination experience is associated with selective erosion of institutional health trust and with compensatory digital health engagement, using nationally representative data from the Health Information National Trends Survey (HINTS) 6 (2022; n=6,252) and HINTS 7 (2024; n=7,278). Survey-weighted modified Poisson regression estimated prevalence ratios (PRs) for binary high-trust outcomes, and survey-weighted ordinary least squares estimated coefficients for continuous outcomes; jackknife replicate weights (50 replicates) provided variance estimates. Discrimination was associated with substantially lower probability of high trust in the healthcare system (PR=0.39; 95% CI 0.30-0.52) and physicians (PR=0.85; 95% CI 0.77-0.94), with no significant association for trust in scientists, government, family, or religious organisations. The clinical-institutional pattern replicated in HINTS 6, which additionally showed reduced trust in scientists for race/ethnicity-based discrimination. Contrary to a disengagement hypothesis, discrimination-exposed adults showed higher probability of online health information seeking (PR=1.06), health app use (PR=1.11), and online provider messaging (PR=1.13); these associations persisted after adjustment for trust in physicians. Discrimination was independently associated with lower health self-efficacy (b=-0.271). Medical discrimination selectively erodes trust in clinical institutions while leaving broader epistemic trust largely intact. Despite this, discrimination-exposed patients engage more actively with digital health channels, consistent with compensatory reorientation toward non-clinical information sources. These findings describe engaged but institutionally alienated patients, with implications for restoring clinical trust and for equity-centred digital health design.

Background Evidence on factors associated with cannabis for medical purposes (CMP) authorizations among Veterans Affairs Canada (VAC) clients remains limited and inconsistent, particularly concerning mental health and posttraumatic stress disorder (PTSD), a leading indication for use. We investigated demographic, clinical and service characteristics associated with VAC authorizations for CMP reimbursement. Method We linked VAC administrative CMP program data with responses from the 2019 Life After Services Studies cross-sectional survey of Regular Force veterans released between 1998 and 2018. Multivariable logistic regressions examined associations between CMP reimbursement (yes/no) and demographic, clinical and well-being factors, with analyses stratified by PTSD status. Results Among 1,289 respondents (weighted n=33,131), 18.4% were authorized for CMP reimbursement. Younger age (<40 vs. [&ge;]60 years: OR 4.78, 95% CI: 2.24-10.21), unemployment with inability to work vs. employed (OR 3.10, 95% CI: 1.78-5.40), land service vs. air (OR 2.07, 95% CI: 1.22-3.50), PTSD (OR 2.81, 95% CI: 1.69-4.66), anxiety (OR 2.32, 95% CI: 1.45-3.70), and severe pain vs. no pain (OR 3.61, 95% CI: 1.97-6.60) were independently associated with authorization. Unemployment and severe pain were consistent correlates across PTSD strata. Among those without PTSD, younger age, multiple physical conditions, and frequent mental health visits were significant; among those with PTSD, shorter service, witnessing destruction, and suicidal ideation were additional factors. Conclusions CMP authorization patterns among Canadian veterans reflect the intersection of mental health, pain, and functional impairment, with variation by PTSD status. These findings underscore the need for longitudinal research on CMP mechanisms, effectiveness and safety.

The Asian population in Los Angeles is among the largest and most heterogeneous in the U.S. This is true culturally and health-wise. Older Asians have differing risks for cardiovascular and cardiometabolic disease, depending on their ethnicity, health literacy, and lifestyle choices. This pilot examines several of these factors in a small but diverse group of older Asian adults who attended community health events from 2024-2025. Self-reported and biometric data were collected at five such events hosted by the Asian Pacific Health Corps at UCLA. The pilot generated health literacy and lifestyle (HLL) scores for all participating attendees and explored how they relate to their socio-demographics, healthcare habits, and predictions of their own health data. Overall, there were significantly more females than males with higher HLL scores (p = 0.027). College education (p = 0.028) and "normal" ranges for biometric data (e.g., blood pressure, BMI, blood glucose, cholesterol) were related to higher median HLL scores. With a few exceptions, fewer than 50% accurately predicted their biometric numbers regardless of HLL scores, suggesting a disconnect between perception and reality, and that better provider-patient communication may help foster greater patient understanding about their chronic conditions. These HLL score distributions indicate that educational attainment, better awareness of one's health, and high health literacy are individual factors that may influence older Asians' understanding and potential approach to managing their health conditions.

Objectives We aimed to describe the characteristics of children and young people referred to social prescribing across the UK and understand what social prescribing looks like for these young people. Additionally, we aimed to explore whether access to and experiences of social prescribing vary with age and have changed from 2017 to 2025. Overall, we aimed to identify whether social prescribing reduces or exacerbates health inequalities among children and young people, and whether this has changed over time. Design Analysis of social prescribing electronic health records Setting Social prescribing hubs and services across the UK that use Access Elemental (a cloud-based social prescribing platform) Participants 52,585 individuals referred to social prescribing in 2017-2025 aged 4-25 years (mean=20.04, SD=4.71), of whom 57% were female, 39% male, <2% were in other gender groups, and 3% did not disclose their gender Primary and secondary outcome measures We summarised the characteristics of young people and described the care pathway received. We then used regression models to test whether these factors differed by age and over time. Results Most individuals were aged 18 and over, 91% lived in urban areas and 58% lived in the top three most deprived deciles of the UK. Most were referred by GPs or other allied health workers (79%) and mental health was the leading reason for referral (44%). The typical pathway included 4.64 social prescribing contacts (SD=7.70) totalling 66 minutes (SD=108), with 34% receiving an onward referral to community support. The average age of those referred to social prescribing increased over time. Conclusions Our findings indicate that social prescribing currently has limited reach for those under 18 and this disparity may be increasing. It was promising that children and young people referred to social prescribing were more likely to live in deprived areas. However, given current findings, more work is needed to increase the reach of social prescribing for children and young people across the UK.

Objective: We examined the link between cohabitation with a partner and nighttime smartphone use through the social control of health behavior theory. Background: Nighttime smartphone use is a behavioral risk factor for sleep problems. While previous research has predominantly focused on individual-level risks of sleep disturbances, the role of social context remains underexplored. Theoretical frameworks, specifically the Social Control of Health Behavior, suggest that social relationships regulate health-related behaviors; however, it is unclear how far this regulation extends to modern digital behaviors among couples. Method: We analyzed survey data from three waves of the SmartSleep Study (2018, 2020, and 2023; total N = 25,028), including a longitudinal follow-up subset (N = 1,003). We tested multivariate associations between living with a partner, changes in cohabitation status and frequent nighttime smartphone use by fitting generalized linear mixed-effects models. Additionally, we mapped the complex interplay between indicators of social integration, social support, smartphone use, and sleep quality using hierarchical clustering of non-linear correlations. Results: Cohabiting participants had lower odds of frequent nighttime smartphone use compared to those living alone (OR = 0.66; 95% CI: 0.61, 0.72). This lower risk was driven primarily by cohabitation with a partner (OR = 0.49; 95% CI: 0.36, 0.66). Longitudinal analysis supported these findings, showing that sustained cohabitation was associated with less frequent nighttime use (OR = 0.56; 95% CI: 0.38, 0.82). Clustering analysis revealed that indicators of social integration and support clustered with favorable sleep quality. Conclusion: Our findings suggest that the health-protective effects of cohabitation with a partner extend to digital behaviors. Consistent with social control of health behavior theory, the presence of a partner appears to reduce frequent nighttime smartphone use, highlighting the critical importance of considering social context when addressing digital health hygiene and promoting sleep.

Background. Tobacco smoke exposure, quantified by serum cotinine, is associated with cardiovascular, metabolic, and sleep-related health risks. The relationship between biomarker-verified tobacco smoke exposure and objectively measured, free-living wrist-worn ambient light patterns has not been examined in a nationally representative U.S. adult sample. Methods. We analyzed NHANES 2011-2014 cross-sectional data from 6,937 adults aged >20 years with valid serum cotinine and wrist-worn Physical Activity Monitor (PAM) ambient light data. Seven light outcomes were modeled using survey-weighted linear regression with log2(cotinine+1) as the continuous exposure across four covariate adjustment levels. Benjamini-Hochberg false discovery rate (FDR) correction was applied across the 7 outcomes within each model. Results. In Model 2 (adjusted for age, sex, race/ethnicity, education, poverty-income ratio, BMI, and survey cycle; N = 6,350), higher serum cotinine was associated with significantly higher nighttime light (beta = +0.024, 95% CI: 0.010, 0.038; p-FDR = 0.014) and lower evening light (beta = -0.031, 95% CI: -0.055, -0.008; p-FDR = 0.042). In exploratory behavioral models without alcohol (Model 3a; N = 5,766), both nighttime and evening associations remained FDR-significant. After additional adjustment for alcohol, which substantially reduced the sample due to 37.6% missingness (Model 3b; N = 3,866), the nighttime association attenuated below the FDR threshold, while the evening association remained FDR-significant. Categorical analyses showed progressively higher nighttime light across cotinine groups, and a hypothesis-generating sex interaction was identified (p-interaction = 0.001). Conclusions. Higher serum cotinine concentrations were associated with higher nighttime and lower evening ambient light after sociodemographic adjustment. Attenuation after behavioral adjustment and the cross-sectional design preclude causal inference. Longitudinal studies with formal mediation analyses are needed to clarify the temporal ordering and mechanisms linking tobacco smoke exposure, smoking-related behaviors, and personal light-dark cycle patterns.

Background Cardiometabolic-based chronic disease (CMBCD) at an individual level results from complex interactions among a multi-tiered network of sociodemographic, behavioral, and metabolic factors. Though a consensus set of risk factors drives CMBCD, population context influences risk factor effects and interactions. To better understand this phenomenon, we investigated the multi-tiered networking of cardiometabolic variables across diverse populations using a comparative modelling approach. Methods and Findings Utilizing nationally representative cross-sectional data from 48 countries participating in the World Health Organization "STEPwise approach to noncommunicable disease risk factor surveillance" survey, we learned country-specific Bayesian networks including sociodemographic, behavioral, and cardiometabolic variables (adiposity, diabetes, hypertension, hyperlipidemia, and cardiovascular disease). By computing the structural Hamming distance between pairs of networks, we compared differences in network structures across regions and country income levels. We then used the learned networks to assess individual risk factor influences and interactions on cardiometabolic outcomes. Country-specific Bayesian networks varied in terms of the risk factors directly and indirectly associated with the cardiometabolic outcomes. Network structures differed significantly across regions (p = 0.023) but not across income levels (p = 0.91). These results were robust to an alternative learning algorithm, network comparison metric, and data imputation approach. Older age (60+ vs. 30-44 years old) was associated with a greater increase in probability of obesity in Europe and Central Asia (+80%) compared to other regions. Higher education was associated with increased probability of obesity (+53%), diabetes (+18%), and hypertension (+2%) in South Asia but decreased probability of obesity (-10%), diabetes (-32%), hypertension (-16%), and hyperlipidemia (-25%) in Middle East and North Africa. The interaction between age and sex in predicting obesity was significant in the highest proportion of countries in Europe and Central Asia compared to other regions. While this dataset provided standardized data across multiple countries to define cardiometabolic risk factors and drivers, there was limited data on certain health outcomes and uneven availability of data across regions. Conclusions These results revealed specific regional patterns of multi-tiered cardiometabolic risk structures, emphasizing the need for regionally tailored public health strategies rather than applying generalized consensus evidence-based models. Future research should explore the structural drivers of regional differences in inter-relationships of cardiometabolic risk factors, drivers, and disease.

Background: Access to dental care remains a significant challenge for many children in Canada, particularly among low-income and underserved populations. The Interim Canada Dental Benefit (CDB), introduced in October 2022, aimed to reduce financial barriers to oral health care for children under 12 years of age while the Canadian Dental Care Plan (CDCP) was being developed. While emerging evidence has examined program uptake, limited qualitative research has explored parents and caregivers experiences with the Interim CDB. Objective: This study aimed to explore parents and caregivers experiences with the Interim CDB in Manitoba, Canada, including awareness, access, perceived benefits, challenges, and recommendations for program improvement. Methods: A qualitative descriptive study was conducted using semi-structured interviews with 30 parents and caregivers of children under 12 years of age. Participants were recruited primarily through community dental clinics. Interviews were conducted between July 2023 and February 2024, audio-recorded, and transcribed verbatim. Data were analyzed using inductive thematic analysis to identify key themes and subthemes. Results: Seven interconnected themes were identified: (1) limited and uneven awareness of the Interim CDB; (2) inadequate and inequitable communication strategies; (3) barriers to accessing the benefit, including misconceptions about eligibility and complex application processes; (4) dental providers as key facilitators of access; (5) financial relief and improved access to care; (6) gaps in coverage and ongoing financial strain; and (7) participant-driven recommendations for improvement. While the benefit was widely perceived as reducing financial barriers and enabling access to care, challenges related to awareness, communication, and adequacy of coverage limited its overall effectiveness. Participants emphasized the need for improved communication from government, simplified application processes, expanded eligibility, and increased financial support. Conclusion: The Interim CDB represents an important step toward improving access to dental care for children in Canada. However, this study highlights critical implementation gaps related to awareness, accessibility, and coverage. Addressing these challenges will be essential to ensuring the success of the new CDCP and advancing equitable access to oral health care.

Background: Whole-population linked administrative data platforms provide an opportunity to generate evidence on early life multidimensional disadvantage to inform resourcing and service provision to families with complex needs. Methods: We used individual-level de-identified data from nine administrative data sources included in the Better Evidence Better Outcomes Linked Data (BEBOLD) platform. The population included all children born in South Australia between 2004-2011 (n=143,083), and their parents. We described the prevalence and distribution of multiple disadvantages affecting children from the 12 months before birth to age 5. Eleven domains of parental disadvantage were created: economic, education, access to services, mental health, substance misuse, smoking during pregnancy, domestic and family violence, health, child protection contact, justice system contact, and death. We investigated the concordance of our measure with an area-level socioeconomic measure used in government reporting. Results: One in two children (48%) were exposed to at least one disadvantage domain, and one in seven (14%) were exposed to three or more domains before age five. Economic disadvantage was most prevalent, affecting one in four (27%) children, of which 75% were exposed to additional forms of disadvantage. Substance misuse, domestic and family violence, and justice system contact were the least likely domains to occur in isolation. Only 54.4% who experienced five or more disadvantage domains were classified in the area-level socioeconomic measure's 'most disadvantaged' quintile. Conclusion: Early life exposure to parental disadvantage can be highly multidimensional. Measurement across different systems is important for informing coordinated service provision for families with complex needs.

Given the growing crisis in youth mental health, there is a critical need to rebuild and sustain healthy social environments. Cooperative experiences (e.g., sports, clubs) may promote mental health but we lack rigorously tested measures to drive research and evaluation. This study sought to develop a measure of cooperative experiences and test associations with health. We developed and revised a measure of cooperative experiences based on interdisciplinary literature and 20 cognitive interviews. We recruited youth aged 13-25 years (N = 262) through youth-serving organizations and snowball sampling to complete an investigator-administered (n = 50) or self-administered (n = 212) survey assessing cooperative experiences (48 items), mental and physical health, and demographics. We assessed item characteristics, dimensionality, reliability, and construct validity. Multivariable linear regressions were used to estimate the association between the total score and self-reported health. Participants were 57% female, 69% Latino, 55% high school students, and 25% college students. The measure was reduced to 35 items (alpha = 0.90) with six subscales: sense of a unified group (7 items, alpha = 0.83), goal alignment (3 items, alpha = 0.80), inclusion and shared purpose (10 items, alpha = 0.88), social exclusion (2 items, alpha = 0.91), positive interdependence (7 items, alpha = 0.77), and negative interdependence (6 items, alpha = 0.87). A higher total score was associated with better self-reported mental health (beta = 0.25 standard deviation change in health score for each standard deviation change in cooperation scale, 95% CI [0.108, 0.394], p = 0.001) and self-reported general health (beta = 0.25, 95% CI [0.107, 0.395], p = 0.001). The study provides preliminary support for the reliability and validity of a new measure of exposure to cooperative experiences among youth. The measure holds promise as a tool to examine the relationship between social environments and health outcomes in real-world settings.

Background: An increasing demand for organic food has risen due to perceived health benefits. Current evidence for the health effects of organic food is limited. Objective: To evaluate the association between organic food purchase as a proxy for organic food consumption and hypertension in a nationally representative population of the US. Methods: This was a cross-sectional study that included 9173 participants aged >= 18 and had available data of both organic food purchase and hypertension from the National Health and Nutrition Examination Survey 2007-2010. Organic food purchase and frequency were obtained from survey questionnaires. Hypertension was defined as having either a systolic BP >= 130 mm Hg/ diastolic BP >= 80 mm Hg, currently taking antihypertensive medication, or self-reported diagnosis of hypertension. We used multivariable logistic regression with sample weights and adjustment of potential confounders to assess associations (adjusted odds ratio [aOR] and 95% confidence intervals [CI]) between organic food purchase and hypertension status. Results: Findings suggest an 11% decrease in odds of hypertension (aOR = 0.89, 95% CI: 0.75-1.06) among organic food purchasers compared to non-purchasers. Lower odds of hypertension were observed across all categories of organic food purchasing frequency, with 13% lower among rarely purchasing organic food (aOR = 0.87, 95% CI: 0.67-1.14), 9% lower (aOR = 0.91, 95% CI: 0.71-1.16) among sometimes purchasing organic food, and 17% lower (aOR = 0.83, 95% CI: 0.55-1.27) among always or mostly purchasing organic food, as compared to those who never purchased organic food. Conclusion: Our findings suggest that organic food purchase, a proxy for organic food consumption, may be associated with lower odds of hypertension. These findings may reflect either the true benefits of organic food consumption, including lower pesticide amounts and higher nutrient content, or the health-seeking behaviors among health-conscious, healthy, and highly educated individuals.

Background: The COVID-19 pandemic caused major disruptions to maternity care, breastfeeding support, and social networks. These changes may have increased the risk of postpartum depression, anxiety, and stress among breastfeeding mothers, a population that has been underrepresented in previous reviews. This systematic review and meta-analysis aimed to compare maternal mental health outcomes among breastfeeding mothers before and during the COVID-19 pandemic. Methods: We searched MEDLINE, EMBASE, AMED, Web of Science, WanFang Data, MedRxiv, WHO COVID-19 databases, and grey literature from database inception to December 2023. Eligible studies compared mental health outcomes in breastfeeding mothers before and during the COVID-19 pandemic using validated assessment tools, including the Edinburgh Postnatal Depression Scale (EPDS), Generalized Anxiety Disorder Scale (GAD-7), State-Trait Anxiety Inventory (STAI), or Perceived Stress Scale (PSS). Studies with fewer than 10 participants per group were excluded. Two reviewers independently screened studies, extracted data, and assessed risk of bias using the Joanna Briggs Institute checklist or Newcastle-Ottawa Scale, depending on study design. Random-effects meta-analysis was performed when at least two studies reported comparable outcomes. Results: Twenty-three studies involving breastfeeding mothers from 15 countries were included. Meta-analysis showed significantly higher depressive symptoms during the pandemic compared with the pre-pandemic period, measured by EPDS (standardized mean difference [SMD] = 0.21, 95% confidence interval [CI] 0.14 to 0.29). Maternal anxiety measured by GAD-7 was also significantly higher during the pandemic (SMD = 0.27, 95% CI 0.13 to 0.41). Findings for perceived stress were mixed across studies and could not be pooled because of heterogeneity in reporting methods. Limited evidence suggested that mother-infant bonding did not substantially decline during the pandemic despite increased maternal psychological distress. Conclusions: Breastfeeding mothers experienced increased postpartum depression and anxiety symptoms during the COVID-19 pandemic. These findings highlight the importance of maintaining breastfeeding support services, ensuring access to maternal mental health screening, and developing flexible models of postpartum care during future public health emergencies. PROSPERO registration: CRD42022354670.

Background: Mass gathering events (MGEs) are associated with several public health challenges and may cause a strain on healthcare services. Literature findings on the impact of MGEs on emergency departments (EDs) are heterogeneous. Objectives: To examine shifts in ED attendance characteristics during a major sporting tournament, namely the UEFA European Football Championship 2024 held in Germany. Methods: We conducted a retrospective observational study using ED data from the Emergency Department Data Registry. We compared baseline ED attendance characteristics between the tournament and the reference period, defined as two weeks before and two weeks after the tournament, and between Germany game days and non-Germany game days. Hourly attendance patterns were analysed for all Germany games using a reference range. Results: We included data from 41 EDs, totalling 253,493 attendances during the study period. A 1.57% increase in attendance was observed during the tournament compared to the reference period, with baseline characteristics remaining similar. The median daily attendance within all EDs was slightly lower on Germany game days (4066) compared to non-Germany game days (4128). Modest changes were observed in the hourly attendance on Germany game days, most notable during the last Germany game where a decrease in attendance below the reference range extended over three hours. Conclusions: The observed shifts in ED attendance were minimal, suggesting that no major changes of public health relevance occurred in ED attendance during the tournament. We highlight the utility of using ED data for monitoring and for enhancing the understanding of the public health risks and challenges associated with MGEs.

Aim: The global population of older adults is growing, and older age is linked to higher bleeding risk. Although guidelines discourage aspirin for primary prevention in healthy older adults due to bleeding harms outweighing benefits, many continue taking it without a clear indication. It remains unclear whether all older adults face uniform aspirin-related bleeding risk or if certain subgroups are more vulnerable. Methods: We analyzed data from 19,114 ASPREE trial participants to develop machine learning models using 116 baseline variables. Random forest (RF) and random survival forest (RSF) models predicted 5-year bleeding risk, and participants were stratified into low, intermediate, and high-risk groups based on the 20th and 80th percentiles of predicted risk. We assessed heterogeneity of treatment effect (HTE) by testing treatment-by-risk group interactions on the relative scale using Fine-Gray models, and on the absolute scale using observed 5-year cumulative incidence rates. Results: Over a median follow-up of 4.7 years, 626 major bleeding events occurred. The RF model had moderate discrimination (AUC = 0.65, 95% CI: 0.63-0.67) and good calibration (Brier = 0.032, 95% CI: 0.029-0.034). Statistically significant HTE was observed on the relative scale, with the greatest relative increase in bleeding risk seen in the low-risk group (subdistribution hazard ratio = 2.26, 95% CI: 1.27-4.01). On the absolute scale, low-risk participants experienced higher bleeding with aspirin (absolute risk difference (ARD) = 1.17%, 95% CI: 0.37-1.95), but heterogeneity in ARDs was not statistically significant (Cochran's Q p > 0.45). Similar findings were observed when using the RSF model. Conclusion: Participants at lowest baseline bleeding risk experienced the greatest relative increase in bleeding risk with aspirin therapy. We found statistically significant heterogeneity in treatment effects on the relative but not absolute scale. These findings support an individualized, risk-based approach to aspirin therapy decision-making in older adults.