Social Science & Medicine

Background. Population-representative evidence on social inequalities in youth mental health from an intersectional perspective is limited. We investigated inequalities across multiple mental health outcomes among young adults and examined whether measures operated equivalently across social and intersectional groups. Methods. Cross-sectional analyses were conducted with 9,675 participants aged 23 years from the nationally representative UK Millennium Cohort Study (born 2000-2002). Self-reported outcomes included psychological distress (Kessler-6), probable serious psychological distress/'caseness' (Kessler-6 score [≥]13), psychological wellbeing (Short Warwick-Edinburgh Mental Well-Being Scale; SWEMWBS), past-year self-harm, and lifetime suicide attempts. Measurement invariance analyses assessed comparability of the Kessler-6 and SWEMWBS across groups. Intersectional MAIHDA examined inequalities by sex assigned at birth, ethnic identity/background, sexual identity, and childhood poverty. Young people with lived experience of mental ill-health and/or social discrimination contributed to study design, interpretation, and reporting. Findings. Large inequalities were observed across all outcomes, with the largest disparities by sexual identity, followed by sex assigned at birth, childhood poverty history, and ethnic identity/background. Across intersectional strata, predicted psychological distress ranged from -0.27 to 1.32 SDs, and psychological wellbeing from -0.54 to 0.11 SDs. Predicted prevalence varied 6.99-fold (9.81% to 68.55%) for psychological distress 'caseness', 6.84-fold (8.60% to 58.79%) for self-harm, and 22.10-fold (1.96% to 43.32%) for suicide attempts. Young people at the intersection of sexual minority status, female birth sex, childhood poverty, and some ethnic minority identities/backgrounds experienced particularly poor outcomes. Most inequalities showed cumulative patterns consistent with additive expectations, although some intersectional groups experienced better or worse outcomes than expected. Accounting for measurement differences revealed inequalities that were otherwise undetected. Interpretation. Findings highlight the large extent of mental health inequalities when multiple dimensions of social (dis)advantage are considered, and the need to address both the social conditions generating these inequalities and the methodological assumptions shaping how they are measured and understood.

We analyse the effect of waiting time for elective musculoskeletal treatment on labour market outcomes in England using hospital records for working-age adults who received treatment between April 2015 and March 2023 to Census, tax and benefit records. To address clinical prioritisation and unobserved severity, we leveraged provider-level waiting time as an instrument for individual waiting time and estimated two-stage least squares models adjusted for baseline labour market outcomes, demographic and socioeconomic characteristics, and provider, referral-time and procedure fixed effects. We find that longer waits reduce annual employee earnings, with effects persisting for up to five years. For an additional four weeks of waiting, the largest estimated annual losses range from {pound}301 for osteoarthritis to {pound}487 for other joint disorders. There was no evidence of effects on employment status or benefit receipt, suggesting that delays primarily operate through reduced productivity or hours worked among those who remain employed. Reducing waiting times may not only improve health outcomes but help patients maintain earnings and support economic

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

Background.Respect for autonomy is central to biomedical ethics but is rarely assessed with a structured, reproducible measure. This gap matters as patients, families, and clinicians increasingly use general-purpose language models for health-related questions. We developed the Autonomy Index (AIx) to characterize autonomous agency in clinical-ethics vignettes and compared ratings from trained human reviewers with ratings from current language models. Methods.We reviewed ten decisional-capacity instruments and classified them by target construct into consent capacity, decision capacity, and functional autonomy, identifying a region of autonomous agency (values, deliberation, and enactment) that existing instruments measure least well. The resulting thirteen-item instrument scores four domains: Values Awareness, Factual Understanding, Rational Deliberation, and Intentional Action, on a five-point ordinal scale with an explicit not-applicable option; the External Constraint Index and Support Provided Index are reported separately. Nine models scored 89 clinical vignettes. We selected 50 vignettes by model-score tier and inter-model disagreement, then obtained 173 ratings from 30 clinical and bioethics-informed reviewers and 3,431 valid scores from eight models in July 2026. The prespecified comparison summarized each source within vignette and estimated the paired human-minus-model difference; mixed-effects, domain, agreement, and variance-component analyses were secondary or exploratory. Human data were collected under Harvard Longwood Campus IRB protocol IRB26-0146. Results.Across the selected 50-vignette comparison set, human and model composites were strongly associated (Pearson r = 0.781, P = 2.3 x 10-{superscript 1}{superscript 1}; Spearman {rho} = 0.775). The human mean was 50.2 and the model mean was 39.2, a paired human-minus-model difference of 11.0 index points (95% CI, 6.3 to 15.8; P = 2.6 x 10-; d_z = 0.66). Human means exceeded model means on 36 of 50 vignettes. Bland-Altman limits of agreement were wide (-21.9 to 43.9), indicating substantial case-level variation. Mean differences were positive in all four domains: Factual Understanding, 13.7; Intentional Action, 12.3; Values Awareness, 10.4; and Rational Deliberation, 7.9 points; the joint domain-by-source test did not detect heterogeneity (Wald {chi}{superscript 2}[3] = 2.27, P = 0.52). Vignette content accounted for 80.9% of score variance, whereas source accounted for 0.7%. Models never selected not applicable; human reviewers did so for 22.5% of item responses. Among 19 vignettes with at least four human ratings, 9 had human-minus-model differences greater than 15 points and none had a difference below -15 points. Conclusions.In this deliberately selected 50-vignette set, trained reviewers assigned higher autonomy scores than the tested general-purpose language models on average, while the two sources ranked cases similarly. Wide limits of agreement and variation across well-rated vignettes preclude treating the mean difference as a prediction for an individual case. Because the comparison set was selected using prior model scores, reviewers were a convenience sample, and human ratings are a reference standard rather than ground truth, the findings should be interpreted as evidence of systematic divergence in this sample, not proof that models underestimate patient capacity. External validation in prospectively sampled cases with denser human rating is required before clinical use.

Background: Girls are more likely than boys to experience psychological distress during adolescence. Drivers of this gender gap remain under-studied, despite its large impact on later life and outcomes, especially for women. Explanatory factors can be gendered in their prevalence (differential exposure) and/or in their impact (differential susceptibility). We developed a multi-domain framework of explanatory factors for distress and applied it in four low- and middle-income countries. Methods: We first proposed a framework of explanatory factors for psychological distress grouped into seven domains (biological, cognitive, psychological, behavioural, social, environmental and broader societal). We applied this framework to identify explanatory variables assessed in childhood and adolescence in the Young Lives longitudinal cohort studies in Ethiopia (N=908), India (N=952), Peru (N=634) and Vietnam (N=887). Distress symptoms at 18-19 years were measured with the Strengths and Difficulties Questionnaire Emotional Symptoms scale. Gendered prevalence of each explanatory factor was tested with Mann-Whitney tests, and gendered impact with country-specific linear regressions including a gender-by-factor interaction term. Exploratory boosted-tree machine-learning models, interpreted with SHAP values and permutation feature importance, examined the contribution of these factors to the gender gap in each country. Results: Distress was higher in girls than boys in every country, the gap ranging from 0.62 points in Ethiopia and Vietnam to 1.76 in India and 2.45 in Peru. Some explanatory factors were consistently gendered in prevalence (e.g. girls experienced greater role overload in each country), while others were gendered only in some countries (e.g. study amount was higher for girls in Peru and Vietnam, but not Ethiopia or India). Gendered impacts on distress displayed more variability across countries. For example, higher self-esteem was more protective for boys than girls in India, Peru and Vietnam, but more protective for girls in Ethiopia. The machine-learning models identified important predictors across all framework domains, though their salience varied by country. Conclusions: Our findings underscore the importance of considering multi-domain explanations for mental-health outcomes and observed inequalities in mental health. Large cross-country differences in the gender gap and in the prevalence and influence of explanatory factors caution against generalising drivers of mental-health outcomes and inequalities across contexts.

Background Under-five mortality remains a major public health challenge in Zambia despite substantial reductions over recent decades. Demographic and Health Survey (DHS) data are commonly analysed using Cox proportional hazards models; however, violations of the proportional hazards assumption and unobserved cluster-level heterogeneity may compromise inference. This study compared advanced survival modelling approaches to determine the most appropriate framework for analysing under-five mortality using pooled Zambia DHS data. Methods We conducted a pooled secondary analysis of the 2018 and 2024 Zambia Demographic and Health Survey child recode datasets. The analysis included 9,982 children, among whom 266 died before their fifth birthday. A survey-weighted Cox proportional hazards model was fitted as the reference model and assessed using Schoenfeld residual diagnostics. To address identified methodological limitations, an extended Cox model, a shared-frailty model, and a Bayesian survival model were subsequently fitted. Model performance, assumptions, and the consistency of adjusted hazard ratio estimates were compared across modelling approaches. Results The global Schoenfeld test indicated violation of the proportional hazards assumption ({chi}2=51.26, p=0.002). In the adjusted extended Cox model, male children had higher mortality risk than females (aHR 1.95, 95% CI 1.40-2.73), while children with gestation [&ge;]9 months had lower mortality risk than those with shorter gestation (aHR 0.21, 95% CI 0.14-0.32). Average and large birth size were associated with lower mortality compared with small birth size (aHR 0.47, 95% CI 0.34-0.66 and aHR 0.57, 95% CI 0.39-0.84, respectively). Newborn health checks before discharge were associated with lower mortality (aHR 0.50, 95% CI 0.38-0.66), as was any antenatal care (aHR 0.25, 95% CI 0.09-0.75). A high-risk fertility pattern involving fourth or higher births with an interval [&ge;]24 months was also associated with lower mortality (aHR 0.57, 95% CI 0.41-0.80). The shared-frailty model produced similar estimates, including increased mortality among male children (aHR 1.39, 95% CI 1.08-1.78) and twins or multiple births (aHR 2.74, 95% CI 1.36-5.53). Bayesian estimates were broadly consistent with the extended Cox model. Conclusions Advanced survival models provided a more robust analytical framework than the conventional Cox model for evaluating under-five mortality in nationally representative DHS data. While the extended Cox model accommodated time-varying effects, the shared-frailty model captured unobserved cluster-level heterogeneity, and the Bayesian model confirmed the stability of parameter estimates. Incorporating these complementary approaches can improve the validity of survival analyses and strengthen evidence for child survival research and policy in low- and middle-income settings.

Abstract Many women experience menopausal symptoms after stopping hormone replacement therapy (HRT). An evidence gap remains regarding how women and healthcare professionals (HCPs) make decisions about discontinuing and restarting HRT. Aim To explore experiences of HCPs that support women when they discontinue and restart HRT. Design and setting Qualitative study with HCPs working in NHS primary care. Method Semi-structured interviews with HCPs (n = 15) conducted between October 2025 and March 2026. A preliminary coding template was created using the discussion guide as a framework. Each interview was then coded inductively against the template which developed iteratively. Team based discussion helped refine codes into themes and sub-themes, and a subsequent conceptual model was created. Results The model describes HCPs experiences of supporting women to discontinue HRT as an iterative process characterised by uncertainty. Discussions about discontinuation were commonly prompted by changes in clinical risk or annual HRT review, but decisions about whether and when to stop also depended on womens symptoms, side effects, life stage and readiness. HCPs described agreeing an individualised discontinuation strategy, providing support during the process, and reviewing women after discontinuation to consider alternative treatments or, where appropriate, restarting HRT. Conclusion HCPs recognise the importance of readiness to discontinue and that decision making should be woman led, with HCP support, clear practice guidance and opportunities to revisit treatment. Further research is needed to support women weigh up their personalised risk and benefit of continuing/discontinuing and identify discontinuation strategies that limit resurgent symptoms.

Childhood experiences are important antecedents of adult flourishing, yet gender patterns in these experiences are under-studied in large global samples using a common survey instrument and population-based study design. From the Global Flourishing Study Wave 1 data (2022-2024), we analyzed responses from 203,430 adults (51% female, 49% male) in nationally representative samples from 21 nations on eight childhood-related items: experiencing physical or sexual abuse, feeling like an outsider in the family, feeling loved by one's mother or father, quality of relationship with one's mother or father, health growing up, and perceived family financial situation. Greater negative experiences were noted in more affluent nations (as measured by gross domestic product (GDP) per capita), with negative experiences generally reported more often among females than males, again especially in more affluent nations. Gender differences were more pronounced when it came to relationships with mothers compared to fathers. Perceptions regarding health and family finance while growing up did not show appreciable gender differences and had weaker correlations with other items.

Background: Childhood experiences contribute to health and wellbeing across the life course, yet research from low- and middle-income countries has largely focused on a few outcomes rather than broader patterns of adult wellbeing, behaviors, and social and financial circumstances. Methods: In this cross-sectional analysis, we used a nationally representative sample of adults in India (N = 12,765; aged [&ge;] 18 years) from the Global Flourishing Study (GFS) Wave 1 (2023) to examine associations between eight retrospectively reported childhood experience items, 45 adult outcomes, and two composite flourishing indices. Survey-weighted linear, logistic, and proportional-odds models adjusted for age, gender, education, and residential setting, with Bonferroni correction were used to assess associations and effect modification by gender. Findings: Although the breadth and strength of associations differed across childhood experiences, less favorable childhood experiences were generally associated with poorer wellbeing and flourishing, greater odds of adverse health outcomes, and reduced access to resources and safety in adult life. However, outcomes related to prosocial behaviors showed a different pattern: childhood abuse (physical or sexual) was associated with greater odds of volunteering (OR 1.31, 95% confidence interval or CI [1.13,1.51]), feeling like an outsider in one's family with greater odds of donating (OR 1.80, 95% CI [1.52,2.13]), volunteering (OR 1.53, 95% CI [1.28,1.82]), and helping a stranger (OR 1.49, 95% CI [1.27,1.74]). Associations were broadly similar between females and males, with little evidence of gender differences. Interpretation: Associations of childhood adversity with poorer health and increased prosocial behavior in adult life may reflect unmeasured social, cultural, or dispositional factors and heterogeneous life-course responses. Nevertheless, these findings support strengthening child-protection, financial assistance programs, and mental health services in India.

Background Cancer stigma contributes to low cervical cancer screening rates among Nepali women. However, no stigma reduction interventions have been implemented thus far in Nepal. This study assessed the effectiveness of a muticomponent cervical cancer stigma reduction intervention on cancer stigma scores and cervical cancer screening uptake rates among urban Nepali women. Methods A two-arm, parallel cluster-randomized trial was conducted in Budhanilkantha Municipality, Kathmandu District, Nepal. Twelve administrative wards were randomized in a 1:1 ratio to the intervention or control group, with wards serving as the unit of randomization and individual women as the unit of analysis. A total of 310 women aged 30-60 years who had not undergone cervical cancer screening during the previous five years were enrolled. The three-hour intervention included cervical cancer education, a video featuring cervical cancer survivors, participatory group discussions, and myth-versus-fact activities addressing cancer stigma. Cancer stigma was assessed two months after the intervention using the Nepali version of the Cancer Stigma Scale. Cervical cancer screening uptake was assessed six months after the intervention. Data were analyzed using intent-to-treat and as treated approaches with a generalized estimation equation with logistic regression. Results From June 2022 to February 2023, 310 women were enrolled. At 2 months, stigma data were available for 248 participants (120 intervention, 128 control). In the intention-to-treat analysis, the odds of cancer stigma were lower in the intervention group than in the control group (OR 0.25, 95% CI 0.08 to 0.8; p=0.022). Odds were also lower for the severity domain (OR 0.31, 95% CI 0.10 to 0.90; p=0.048) and awkwardness domain (OR 0.21, 95% CI 0.08 to 0.56; p=0.001) with no differences in other subdomains. At 6 months, the odds of cervical cancer screening was 3.9 times greater in the intervention group than in the control group (95% CI: 1.1-13.20, p=0.028). As treated analysis reinforced these findings, with lower odds of stigma (AOR:0.09, 95% CI: 0.01-0.53, p=0.007), severity (AOR:0.16, 95% CI: 0.06-0.42, p<0.001), and awkwardness (AOR:0.1, 95% CI: 0.02-0.44, p=0.02). Cervical cancer screening odds was 4.02 times higher in the intervention group (95% CI:1.1-13.7, p=0.026). Conclusions Compared with the control condition, participants allocated to a community-based multicomponent intervention designed to reduce cancer stigma had lower odds of elevated cancer stigma two months after the intervention and higher odds of cervical cancer screening by six months. Larger cluster-randomized trials with more clusters and longer follow-up are needed to assess the reproducibility, durability, and generalizability of these findings.

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.

Youth are increasingly engaging with generative AI beyond its use as a productivity tool, with a growing share turning to AI for social interaction and emotional support. This leads to unknown risks for their well-being and development. Online community discussions reveal that youth already perceive risks that caregivers have not recognized.

Child maltreatment (CM) is a global phenomenon, yet its prevalence, acceptability, and psychosocial consequences vary across cultures. This study examined self-reported CM, its perceived acceptability, and associations with psychosocial outcomes among 1,617 adults (Mage = 25.21, SD = 6.74) across 13 countries and regions. Participants completed an online survey assessing physical neglect, physical abuse, emotional maltreatment, sexual abuse, and witnessing domestic violence, alongside perceived acceptability, post-traumatic growth, resilience, perceived social support, post-traumatic symptoms, and psychological distress. Country/region differences were tested via mixed-effects; whether CM-outcome associations varied by country/region was tested via fixed-effects interaction models. Significant cross-country/region variability emerged for most CM subtypes, especially for emotional maltreatment. Witnessing domestic violence rates did not differ significantly, though its acceptability still varied significantly, as did all other types. Greater CM exposure was linked to poorer mental health for several subtypes and to greater acceptability of maltreatment, raising concerns about intergenerational normalisation. CM-outcome associations were largely consistent across countries/regions, with only isolated, exploratory exceptions. Findings show that while CM's adverse psychosocial impact shows little cross-national variation, its prevalence and normative framing are culturally shaped, underscoring the need for culturally sensitive assessment and intervention.

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.

Objectives To investigate the association between time spent in NHS Type 1 emergency departments (EDs, consultant led 24 hour services with full resuscitation facilities) and risk of leaving employment and hospitalisation after leaving the department alive up to two years after attendance. Methods We conducted a retrospective cohort study using linked administrative data from the NHS Emergency Care Dataset, Hospital Episode Statistics, Census 2021, and mortality records. ED length of stay was categorised from under 2 hours to 12 hours or more. Cox proportional hazards models were fitted to estimate the association between ED length of stay and subsequently leaving employment or being hospitalised over a two year follow-up period, adjusting for demographic, socioeconomic, and clinical characteristics. Results Our study population comprised 3,347,008 individuals aged 25 to 64 who attended a Type 1 ED in England between April 2021 and March 2023. For leaving employment, adjusted hazard ratios (aHRs) increased from 1.04 (95% CI 1.03 to 1.06) for stays of 2 to <4 hours to 1.21 (1.17 to 1.24) for 12 hours or more, compared with stays under 2 hours. A similar but more pronounced gradient was observed for post-discharge hospitalisation, with aHRs rising from 1.06 (1.04 to 1.07) at 2 to <4 hours to 1.95 (1.91 to 1.99) for stays of 12 hours or more. Conclusions Prolonged time spent in the ED is associated with poorer outcomes among working-age employees, including reduced labour market participation and increased hospital use. These findings suggest that long ED stays may have wider and longer-term implications beyond immediate clinical outcomes, including potentially for national labour markets and economic growth.

Objectives: A previously published conceptual mapping review integrated fragmented evidence on dental anxiety (DA) into a broader conceptual model of potential causes and consequences. This study focused on consequences, extending from oral health-related behaviours through oral disease to systemic health, and empirically evaluated these hypothesized relationships on the population level. Methods: Cross-sectional data from the 46-year follow-up of the Northern Finland Birth Cohort 1966 (n = 1,859) were analysed using structural equation modelling. DA was modelled as a latent construct; delayed/problem-oriented dental attendance and home oral care as behavioural proxies; periodontal disease burden as the percentage of sites with probing pocket depth >=4 mm; and cardiovascular risk as a Framingham-based risk score. Generalized anxiety, sex, and education were covariates. Smoking-stratified multigroup analyses assessed model robustness. Results: The prespecified associations were observed across behavioural, periodontal, and systemic-risk domains. Higher DA was associated with more delayed/problem-oriented attendance and poorer home care; both were associated with greater periodontal disease burden, which in turn was associated with higher cardiovascular risk. Model fit was good (chi-square(119) = 529.98, CFI = 0.962, TLI = 0.951, RMSEA = 0.043, SRMR = 0.051). The overall association between DA and cardiovascular risk was small (beta = 0.066, p = .004), with a small decomposed indirect association (beta = 0.013, p = .006) and a remaining direct association (beta = 0.053, p = .022). Smoking-stratified multigroup comparisons found no differences in the structural associations by smoking status. Conclusions: This population-based evaluation provides preliminary empirical support for the conceptual model. Findings extend the relevance of DA beyond dental attendance and oral health outcomes to a broader oral-systemic public-health context. Cross-sectional data cannot establish temporal or causal ordering; longitudinal replication is needed.

Background Chemsex, drug use before/during sex to facilitate and enhance the experience, is undertaken by a minority of gay, bisexual and other men who have sex with men (GBMSM), but evidence of chemsex prevalence in England is limited. This study describes trends in chemsex prevalence between 2022-2025 and identifies factors associated with chemsex amongst GBMSM in England. Methods Data from the RiiSH study (2022-2025), an annual online cross-sectional survey of GBMSM recruited through social networking/dating apps and community partners, were analysed. Trends in chemsex prevalence and adjusted prevalence were estimated using log-binomial regression models. The following seven variables were candidate factors associated with chemsex and were assessed through logistic regression: age, sexual orientation, education, employment, HIV status, HIV PrEP use, and sexual health service (SHS) use. Results 5728 GBMSM were included in this study. Adjusted chemsex prevalence varied from 6.1% in 2022 to 4.2% in 2023, 5.1% in 2024 and 6.8% in 2025. Chemsex was more likely in GBMSM who were: gay (aOR=1.57 versus other sexual orientations; 95%CI 1.11-2.29, p=0.01), unemployed (aOR=3.08 versus employed full-time; 95%CI 2.19-4.26, p<0.001); aged 35-59 versus 16-34 years (p<0.001), with recent HIV PrEP use (aOR=3.79 versus no recent use; 95%CI 2.63-5.56, p<0.001), SHS use (aOR=2.23 versus no recent use; 95%CI 1.76-2.83, p<0.001), and living with HIV (aOR=3.16 versus negative/unknown HIV status; 95%CI 2.43-4.09, p<0.001). Conclusions Chemsex prevalence was low and stable between 2022-2025. PrEP and SHS use were associated with chemsex, supporting integration of specialist support services within SHS.

Background: Social vulnerability is associated with adverse health outcomes, but existing social vulnerability indices often rely on cohort-based and self-reported data, potentially limiting their population-level applicability. Therefore, this study aimed to develop an SVI from routinely collected electronic health records (EHRs) using natural language processing (NLP) and examine its association with mortality and healthcare utilization. Method: EHR data from 193,629 individuals aged 35 to102 from the Wellbeing Services County of Central Finland between years 2010 and 2023 were used in this study. A 6 item SVI (total score 0 to 6) was developed from free-text clinical notes using deep-learning-based NLP. SVI scores were calculated at baseline and annually for individuals. Associations between baseline SVI and all cause mortality and healthcare utilization were assessed over 12-year follow-up using Cox and count models. Results: The mean baseline SVI among all participants was 0.35 (range 0 to 6). Women had higher SVI (0.39) than men (0.32, p<0.001). SVI increased with age. One unit increase in SVI was associated with a higher risk of mortality (Hazard Ratio (HR) 1.23; 95% Confidence Interval (CI) (1.21 to 1.24), a higher odds of using healthcare services (Odds Ratio (OR) = 1.20; 95% CI): 1.19 to 1.21) and a greater healthcare service use (Incidence Rate Ratio (IRR) = 1.07; 95% CI: 1.06 to 1.07). Discussion: An index capturing multiple domains of social vulnerability can be derived from EHRs using NLP. Higher SVI was associated with increased mortality and healthcare utilization. These findings support the potential of EHR data for assessing social vulnerability and related health risks.

Health inequalities are often examined through single axes such as class or ethnicity, obscuring how these dimensions interlock. This study applies a longitudinal intersectional approach to examine physical and mental health trajectories across five generations in the UK. We analysed 14 waves of the UK Household Longitudinal Study (2009-2024) using longitudinal Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy (MAIHDA). We modelled SF-12 physical and mental health trajectories for 398 intersectional strata defined by gender, ethnicity, occupational class, and generation. Physical health inequalities widened with age, consistent with cumulative disadvantage, while mental health inequalities were more evident among later-born cohorts. The 'Boomer' generation exhibited a relatively flat mental health trajectory across its observed age range. In contrast, 'Generation Z' had lower predicted mental health, particularly among White British women with no work history - a group with poorer predicted trajectories than their South Asian peers. Our study shows how health inequalities are structurally differentiated by cohort and intersectional position. Policy responses should support proportionate universalism, combining broad population-level support with intensified action for groups showing poorer health.

Population Services International (PSI) set out to demonstrate the engagement of the private sector in increasing access to modern contraceptives through innovative financing strategies, with a focus on marginalised populations, by implementing the SARAL or Universal Access to Quality Contraception (UAQ) project in the city of Agra, Uttar Pradesh. The objective of the UAQ program was to provide a full basket of choices of family planning methods to newly-married women, incentivising them to delay pregnancy for a specified period. A cross-sectional baseline survey was conducted in Agra during the month of June 2022, covering 1240 currently married women. Using baseline survey data, this paper examined the determinants of women's preference for an additional child, and whether supply-side family planning interventions alone are sufficient to drive adoption of family planning methods. Regression analysis was done to find the determinants of wanting more children and the determinants of the willingness to join the program. The results show that the two most significant variables in determining a womans preference for another child are the total number of children she already has, and not having any male children resulting in a strong son preference. The most significant variable in determining a womans preference for enrolling herself in the SARAL program is whether she has faced financial constraints in accessing family planning methods, with other determinants being inconvenience of using contraceptive methods, exposure to the governments outreach about family planning, and preference for a male child. The findings indicate that womens preferences for an additional child are mostly based on their own desires, and are generally determined by the number and gender of their existing children. However, when it comes to the use of family planning methods, the husbands views are a critical factor in making family planning decisions - this would imply that family planning programs need to reach out not just to women, but to their husbands as well. Raising awareness of, and increasing exposure to family planning services is much needed, and programs should incorporate a strong Information, Education and Communication (IEC) component.