Social Science & Medicine

Background: Rising rates of young people Not in Education, Employment, or Training (NEET) in the UK have recently coincided with declining youth physical and mental health but no study has asked whether this reflects a growing proportion of young people with health problems (prevalence) or those with health problems becoming more likely to be NEET (penalty). Methods: Using 15 years of Understanding Society data (2009-23), we analysed 15,242 respondents aged 16-24 (66,160 observations). We employed three complementary approaches: descriptive trends, Blinder-Oaxaca-Kitagawa (BO) probit decomposition comparing 2009-2013 and 2019-2023 against a 2014-2018 reference period, and fixed-effects (FE) Poisson models with lagged health status. Exposures included self-reported health conditions or disability (SRHD), psychological distress , diagnosed conditions and socio-demographic factors. Findings: NEET rates were lowest in 2014-18 (10.5-11.5%) and higher in 2009-13 (12-15%) and 2019-23 (15-16%). Higher prevalence of SRHD, psychological distress, diagnosed depression and multimorbidity explained changes in NEET prevalence across both the 2009-13 to 2014-2018 and 2014-18 to 2019-23 periods. No change in penalty was observed for any health variable across periods, except for an increase in the penalty for SRHD between the 2009-13 to 2014-18 periods. Interpretation: Rising NEET rates among UK youth are driven largely by more young people having physical and psychological ill health. Whilst labour market and education accommodations remain important, reducing NEET rates will require reversing the decline in youth health, not just accommodating it.

Background: High rates of young people who are not in education, employment or training (NEET) are a major societal concern in the UK. Whilst other studies have highlighted that adolescent health can predict NEET status in young adulthood, robust and recent longitudinal evidence remains limited. Methods: This study used data from the Millennium Cohort Study, a longitudinal study of people born in the UK in the early 2000s, to estimate the extent to which mental health conditions, physical health conditions and health behaviours during adolescence predict NEET status in early adulthood (median age: 23). Co-occurrence of exposures was also considered and population attributable fractions were calculated to account for differences in exposure prevalence. Results: Among 8,374 young people, 12.5% were NEET at age 23; approximately two thirds were seeking work and one third were economically inactive. Estimates adjusted for demographic factors indicated that multiple health exposures increased risk of being NEET at age 23, with mental health conditions predicting greater risk than physical health conditions and health behaviours. For instance, a longstanding mental health condition more than doubled the risk of being NEET (adjusted relative risk [aRR] = 2.39, 95% CIs = 1.85, 3.09), while autism (aRR = 3.60, 95% CIs = 2.69, 4.83) and ADHD (aRR = 3.25, 95% CIs = 2.38, 4.44) more than tripled the risk. A greater number of reported adolescent mental health conditions was associated with greater risk of being NEET in young adulthood. Obesity predicted being NEET at age 23 (aRR = 1.54, 95% CIs = 1.18, 2.01) and obesity accompanied by a mental health condition further increased risk (aRR = 2.01, 95% CIs = 1.38, 2.93). Follow-up analyses indicated that associations between adolescent mental health and young adult NEET status were more pronounced for females than males and for the economically inactive than those seeking work. Conclusions: Findings indicate that adolescent health, especially mental health, strongly predicts being NEET in early adulthood. Early, integrated health and education interventions may help reduce later educational and labour market disengagement.

Background: Multiple observational studies have reported associations between greater parity and increased CVD risk. Whether these associations reflect causal effects or are confounded by socioeconomic factors remains unclear. Methods: We investigated associations between number of children ever born (NEB) and 16 cardiometabolic traits in up to 172,122 females and 138,390 males in the UK Biobank, and an independent sample of 53,237 UK Biobank spousal pairs. We additionally conducted sex-stratified two-sample Mendelian randomization (MR) and applied a novel spousal MR framework, in which an individual's spouse's genotype was used as the instrumental variable to estimate the causal effect of NEB on cardiometabolic health outcomes, as an approach to minimize bias from horizontal pleiotropy. Results: NEB was associated with multiple cardiometabolic traits in the multivariable regression, even after adjustment for socioeconomic status, with differences in the strength of association observed between males and females. Traditional MR provided evidence that higher NEB causally increases type 2 diabetes risk in females, body mass index (BMI) in both sexes, female basal metabolic rate (BMR) and male body fat percentage but decreases female blood pressure. Spousal MR corroborated positive effects on female BMI and BMR and additionally suggested inverse causal effects on female HDL cholesterol and ApoA1 and male blood glucose. Conclusion: These findings indicate a possible causal relationship between NEB and long-term cardiometabolic health, although causal effects are likely to be small.

Background: Young people who are Not in Education, Employment, or Training (NEET) represent a major public health and societal challenge. Existing evidence has linked adolescent mental health problems and health risk behaviours to NEET but has largely treated NEET as a static, rather than longitudinal outcome and overlooked the combined effects of multiple health conditions. Methods: Using data from 5,262 participants born between 1993 and 2000 in the UK Household Longitudinal Study, this study examined the independent and combined associations of adolescent mental health problems (emotional symptoms, conduct problems, hyperactivity) and health risk behaviours (regular smoking, drug use, alcohol use, and high social media use) with ever-NEET status, NEET chronicity, and NEET trajectories from ages 16 to 24, using modified Poisson, proportional odds, and multilevel logistic regression models, respectively. Findings: All mental health problems were associated with ever-NEET status (RRs 1.24-1.27) and NEET chronicity (ORs 1.41-1.98); emotional symptoms showed a widening disadvantage with age, while the disadvantages associated with conduct problems and hyperactivity remained stable. Among health risk behaviours, regular smoking showed the strongest and most persistent relationships with NEET (ever-NEET RR 1.54; chronicity OR 1.64); drug use was related to ever-NEET status (RR 1.37) and an increasing disadvantage after age 21-22, while alcohol use and social media use showed limited associations. NEET risk generally increased with the number of co-occurring conditions, but for recurrent NEET (three or more occasions), risk was only elevated at three or more co-occurring conditions. Interpretation: Adolescent health exposures were associated with NEET risk during ages 16-24, but the strength and pattern varied by exposure and outcome, offering potential insights into the timing and emphasis of any interventions.

Importance: Preschool children in care are at high risk for psychosocial health concerns. Population-based evidence is limited. Objective: Estimate prevalence of psychosocial health concerns in children in care and not in care, and assess care-status differences stratified by deprivation. Design: Population-based cross-sectional study using 27-30 Month Health Review data from April 2013 to March 2023. Setting: Universal health review program in Scotland. Participants: 7887 children in care and 445 547 children not in care. Exposures: Care status at review, classified as in care or not. Main Outcomes and Measures: Four outcome categories (emotional, behavioral, and/or attentional; personal and/or social; speech, language, and/or communication; and other developmental concerns) plus an aggregate indicator of any of the four. We estimated adjusted odds ratios between children in care and not in care, including variation with deprivation. Models adjusted for sex, age, ethnicity, and deprivation. Results: Psychosocial health concerns were more common in children in care (2290; 29.0%) than children not in care (77 836; 17.5%; relative risk 1.66). Concerns were more common in children in care across all outcomes. The adjusted odds ratio comparing children in care with children not in care for any recorded concern was 1.86 (95% CI, 1.77-1.96). Adjusted odds ratios varied by outcome from 1.57 (95% CI, 1.49-1.66) for speech, language, and/or communication concerns to 2.49 (95% CI, 2.34-2.66) for emotional, behavioral, and/or attentional concerns. Relative inequities between children in care and not in care decreased with increasing deprivation from aOR of 1.58 (95% CI, 1.45-1.72) in the most deprived fifth of areas to 2.61 (95% CI, 2.25-3.03) in the least deprived fifth. Prevalence of any recorded concern increased with deprivation in both care groups. The relative risk comparing the most deprived with least deprived fifth of areas was 1.46 (95% CI, 1.29-1.66) among children in care and higher at 2.34 (95% CI, 2.29-2.40) among children not in care. Conclusions and Relevance: Psychosocial health inequities are evident at an early age between children in care and not in care, and vary with deprivation. Support for children in care and children living in more deprived areas should be prioritized.

Background Preventing sexually transmitted re-infections brings health benefits and can be significantly less costly than treating their sequelae. Safetxt is a potential novel digital intervention developed to promote safer sexual behaviours. However, a recent randomised controlled trial of safetxt found no effect on reinfection at 1 year (OR 1.13, 95%CI: 0.98-1.31). We investigated if safetxt's effect was mediated through sexually risky behaviours. Methods We used data from 6248 young people with STIs from 92 UK sexual health clinics. The direct and indirect effects of safetxt on reinfection were estimated using the counterfactual approach. Condom use at last sexual encounter, number of sexual partners and STI testing were assessed as mediators. These were analysed singly and together, using regression models and a formal weighting approach. The assumptions of each approach were considered and tested. Analyses were repeated in the subgroup showing the most promising effect of safetxt: men who have sex with men or with men and women (MSM/MSMW). Results No evidence was found for the total, indirect or direct effects differing from the null. Despite not being significant, for MSM/MSMW, some of safetxt's effect on reducing reinfection was identified as being offset through its effect on number of sexual partners. Conclusions There was no evidence that safetxt's effect on reinfection was mediated through changes in sexually risky behaviours. Adaptations to specifically target these behaviours are unlikely to improve safetxt's overall effect. However, improving safetxt's effect on the number of sexual partners a participant has may improve its effect for MSM/MSMW.

Abstract Objective To describe variation in hospital costs among children with different combinations of health conditions, special educational needs or disability (SEND) and children social care (CSC) indicators. Study Setting and Design This cross-sectional study used regression analysis to test whether two-way and three-way interactions of cross-public sector service use (health, education and social care) are associated with higher hospital costs in England. Data Sources and Analytic Sample Hospital care costs between April 2022 and March 2023 for the 8.9 million children aged 5-18 years were obtained from linked administrative hospital, education or social care data in the ECHILD database. Children were classified into eight categories based on combinations of indicators of chronic health conditions, SEND or CSC. Principal Findings Over one-third (35.4%) of children had some hospital costs during the year. Average costs were 317GBP for all children and 895GBP for children with non-zero hospital costs. By age 18, few children had no indicator in any sector (35.1% of boys, 43.7% of girls) and indicators in all three sectors were not rare (7.1% of boys, 6.2% of girls). At age 5, children with indicators recorded in all three sectors had the highest hospital costs (2,952GBP for boys and 3,674GBP for girls). At age 18, males and females with indicators in all three sectors accounted for 21% and 23% of hospital costs, respectively. SEND and social care indicators without chronic health conditions were associated with only slightly higher hospital costs. Hospital costs were much higher for children with SEND if they also had a chronic health condition. Hospital costs were only higher for children with social care if they also had both a chronic health condition and SEND. Conclusions. Taking account of additional support from non-health sectors is important for understanding health sector costs. The compounding associations between use of other public sectors on health sector costs indicates scope for targeting of integrated care.

Abstract Aim: To test whether neighbouring-tooth restorations affect a focal tooths periodontal status (within-mouth spillover), and whether accounting for them alters the established association at the restored surface. Materials and methods: Prospective tooth-surface data from the Study of Health in Pomerania (SHIP): SHIP-START (N=2,715/1,982/1,397, follow-ups 1-3) and SHIP-TREND (N=2,123). Own and neighbouring-tooth restoration were defined at baseline; probing depth (PD), clinical attachment level (CAL), bleeding on probing (BOP) and deep pockets (PD >=4 mm) at follow-up. A neighbourhood-exposure mixed model with generalized propensity-score adjustment estimated both effects, with two corroborating estimators. Results: Own restoration was associated with worse periodontal status at that surface (crown PD exp(beta) up to 1.10). Neighbouring-tooth restorations raised focal-tooth PD (spillover exp(beta) 1.03-1.05) and deep-pocket risk (risk ratio up to 1.25); CAL and BOP showed none consistently. It attenuated with tooth-lag, nearing the null by two to three teeth in most estimators. Ignoring interference modestly inflated the direct effect; an opposing-tooth negative control showed none; untreated caries reproduced it. Conclusions: Dental restorations exert a within-mouth spillover on neighbouring-tooth PD: their periodontal footprint extends beyond the restored tooth. The direct association persists, modestly attenuated, after accounting for the neighbourhood.

Importance: Epigenetic age acceleration (EAA) has been linked to increased disease risk in adults, yet its developmental trajectories and early-life neighborhood determinants remain poorly understood. Objective: To examine associations between the neighborhood exposome at birth and EAA trajectories from early childhood through adolescence. Design, Setting, and Participants: Longitudinal cohort study using data from Project Viva, a pre-birth cohort that enrolled pregnant women in eastern Massachusetts (1999-2002). Participants included 570 children with available peripheral blood DNA methylation data, complete neighborhood characteristics, and complete covariates. Data were analyzed from 2024 to 2026. Exposures: Neighborhood exposome profiles at birth derived from 22 census tract-level characteristics across four domains (area deprivation, social fragmentation, population density, and environmental quality) using self-organizing maps. Main Outcomes and Measures: EAA was calculated at ages 3 (n=84), 8 (n=301), and 13 (n=434) years using Horvath, Skin & Blood, and Wu epigenetic clocks. Trajectories were identified using latent class linear mixed models. Associations between neighborhood profiles and EAA trajectories were estimated using multinomial mixed models. Results: Among 570 children (mean [SD] age at early childhood, 3.2 [0.4] years; 265 [46.5%] female), three EAA trajectory groups (stable, increasing, and decreasing for the Horvath and Skin & Blood clocks or low-baseline for the Wu clock) and three neighborhood profiles were identified. Compared with Profile 1 (suburban, lowest adverse exposures; n=278), children born into Profile 2 (urban, high residential instability and single-person households, and highway proximity; n=168) had greater odds of increasing EAA for Wu clock (aOR, 1.67; 95% CI, 1.03-2.69). Profile 3 (urban, high socioeconomic deprivation; n=124) showed no significant associations. Conclusions and Relevance: In this longitudinal cohort study, birth into neighborhoods characterized by high residential instability and single- person households, and highway proximity was associated with increasing Wu EAA trajectories across childhood. These findings suggest that early-life neighborhood conditions, encompassing both social and physical environmental factors, may represent targets for interventions aimed at reducing long-term disease risk. Further research is needed to clarify the implications of these findings for later health and prevention.

Background: Post-displacement stressors affect mental health among refugees and asylum-seekers, yet the behavioral mechanisms underpinning this relationship remain understudied. Objective: To examine the role of physical activity in the relationship between post-displacement stressors and mental health outcomes among Farsi/Dari speaking refugees and asylum-seekers in Australia. Methods: Data were drawn from a longitudinal community-based cohort study of 343 Farsi and Dari speaking refugees and asylum-seekers (80 female, 23.3%) in Australia conducted between 2017 and 2019. Data from post-displacement stressors measured at the baseline, physical activity at one-year follow-up, and mental health outcomes (symptoms of posttraumatic stress disorder (PTSD) and depression and personal mastery) at two-year follow-up were included in the study. Longitudinal path analyses were conducted to test the mediating role of moderate-to-vigorous physical activity and sedentary behaviour in the associations between post-displacement stressors and mental health outcomes. Results: After controlling for baseline levels of depression and PTSD, traumatic events, and key demographic characteristics, post-displacement stressors significantly predicted less moderate-to-vigorous physical activity (MVPA) ({beta} = -0.18, 95% CI [-0.292, -0.056]) and more sedentary behavior ({beta} = 0.13, 95% CI [0.011, 0.243]) at one-year follow-up. Less MVPA, in turn, significantly predicted greater symptoms of depression ({beta} = -0.21, 95% CI [-0.353, -0.060]) and lower level of personal mastery ({beta} = 0.19, 95% CI [0.033, 0.327]) while greater time spent in sedentary behavior predicted greater symptoms of depression ({beta} = 0.21, 95% CI [0.060, 0.359]), PTSD ({beta} = 0.24, 95% CI [0.096, 0.386], and lower personal mastery (({beta} = -0.18, 95% CI [-0.336, -0.011]). Significant indirect associations were observed between post-displacement stressors and depressive symptoms and personal mastery through MVPA, and between post-displacement stressors and depressive and PTSD symptoms through sedentary behaviour. Conclusion: These findings provide the first longitudinal evidence that moderate-to-vigorous physical activity and sedentary behavior partially explain the relationship between post-displacement stressors and subsequent mental health outcomes among refugees and asylum-seekers. Addressing these modifiable behaviors may represent targets for future intervention research to promote mental health during resettlement. Keywords: refugees; physical activity; post-displacement stressors; mental health

Depression has become a serious concern for students worldwide. Aligned with the WHO Helping Adolescents Thrive (HAT) Guidelines and the Social Determinants of Health (SDoH) model, this study isolates five academically relevant factors academic pressure, work/study hours, study satisfaction, sleep duration, and financial stress from a dataset of 27,880 university students in India and quantifies their associations with depression. Unlike prior work that maximises classification accuracy, this study prioritises interpretability: logistic regression provides odds ratios (OR) with 95% confidence intervals, Random Forest (RF) and XGBoost rank predictors by feature importance, and SHAP (SHapley Additive exPlanations) values extend the analysis to individual-level risk explanation. SMOTE oversampling was applied exclusively to the training set, and performance was evaluated on the original imbalanced test set (n = 5,576). Both ensemble models achieve approximately 77-78% accuracy and an AUC of 0.845, confirmed by 5-fold pipeline cross-validation (CV AUC [~] 0.843). Academic pressure is the dominant risk factor (OR = 2.271; RF importance = 0.481; mean |SHAP| = 0.174), while study satisfaction (OR = 0.796) and sleep duration (OR = 0.835) are protective. The RF model yields a tipping point at academic pressure > 4.02, and interaction plots reveal how depression risk is amplified by low sleep, high financial stress, and extended study hours. These findings provide data-driven thresholds aligned with WHO-endorsed modifiable determinants to support early detection and institutional counselling.

BACKGROUND: Sexual pleasure is integral to sexual health, offering important physical and mental benefits. Yet, sex education programs often neglect pleasure, focusing instead on preventing sexual risk behaviors (SRBs), which young adults are particularly vulnerable to. AIM: This study investigates the association between SRBs and sexual pleasure in young adults and whether sex assigned at birth moderates this relationship. METHODS: Embedded within the Generation R cohort, 1010 young adults completed an online questionnaire assessing sexual pleasure using the six subscales of the Amsterdam Sexual Pleasure Inventory (ASPI 1.0), Arousal Enjoyment, Enjoyment-Related Self-Efficacy, Enjoyment-Related Self-Worth, Interaction Enjoyment, Bonding Enjoyment, and Sexual Experience Enjoyment, and various SRBs including sexual debut <15 years, six or more lifetime partners, frequent unprotected sex, and substance use during sex. Multiple linear regression analyses were performed for each SRB and sexual pleasure subscale, adjusting for demographics, self-esteem, relationship status, socioeconomic status, and psychopathology, with additional stratification by sex assigned at birth. OUTCOMES: The primary outcome measure is sexual pleasure, measured across six domains, examined in relation to SRBs. RESULTS: Fully adjusted regression analyses showed that engaging in SRB was positively associated with several dimensions of sexual pleasure. All SRBs were associated with higher Enjoyment-Related Self-Efficacy (ERSE) scores (p<0.002). Early sexual debut was additionally linked to higher Interaction Enjoyment scores, while having six or more lifetime partners was associated with increased Enjoyment-Related Self-Worth and Sexual Experience Enjoyment scores (p<0.002). Some associations, particularly involving ERSE, were only significant among males. Individuals without partnered sexual experience reported lower sexual pleasure scores. CLINICAL IMPLICATIONS: Incorporating sexual pleasure into sex education could promote a more balanced, realistic understanding of sexuality among young adults, emphasizing both enjoyment and responsible sexual decision-making. STRENGHTS & LIMITATIONS: Key strengths of this study are the use of the multidimensional Amsterdam Sexual Pleasure Inventory (ASPI 1.0) and the large population-based cohort study design, enabling a nuanced and generalizable analysis. This study is limited by potential selection and reporting bias, the cross-sectional design, residual confounding, and the absence of universally agreed-upon thresholds for defining SRBs. CONCLUSION: These findings suggest there is a positive association between engagement in SRB and sexual pleasure, possibly reflecting greater overall sexual experience. The stronger associations observed among males might reflect gendered differences in the role of self-esteem and societal expectations.

One-to-one peer support is widely used in mental health services, but the components associated with better outcomes remain unclear. We systematically reviewed randomised controlled trials and conducted additive component network meta-analyses to identify which components of one-to-one peer support worker interventions were associated with outcomes for adults using mental health services. CINAHL Ultimate, Embase, MEDLINE, PsycINFO, CENTRAL, ClinicalTrials.gov and ISRCTN were searched, supplemented by citation tracking, previous reviews and expert consultation. Interventions were coded for seven components: Training and development, Maintaining peer support worker wellbeing, Relationship-building, Social support, Emotional support, Practical support and Cultural adaptation. The review followed PRISMA-NMA reporting guidance and was registered with PROSPERO (CRD42022355291). Thirty-six trials randomised 6,645 participants across nine countries. Only quality of life and recovery yielded estimable component effects at one or more follow-up points. For quality of life, Practical support had a positive incremental estimate at 3 months (standardised mean difference 0.52, 95% confidence interval 0.17 to 0.87); no component showed clear evidence of benefit at 6 months; and at 12 months Social support had a positive estimate (1.57, 0.12 to 3.01), whereas Maintaining peer support worker wellbeing had a negative estimate (-1.66, -3.05 to -0.28). These estimates were not consistent across follow-up points. For recovery, Relationship-building had positive estimates at 6 months (0.90, 0.03 to 1.78) and 12 months (0.50, 0.29 to 0.72). Networks were sparse and often disconnected, and additivity could not be tested in disconnected networks. Current trials do not permit definitive prioritisation of peer-support components. Relationship-building was the most consistent candidate component, but all findings remain provisional. Future trials should prospectively specify, manipulate and measure component delivery.

Objective. To estimate lifetime and 12 month mental health contact gaps among Peruvian adults with survey-defined mental disorders, and to describe inequalities in contact, perceived need for care, and mental health service use. Methods. We analyzed the information for adults of the 2022 Peruvian National Mental Health Survey, a cross-sectional household survey. The primary outcome was the survey-weighted proportion of adults with a 12 month mental disorder who reported no contact with an included source of mental health-related care during that period; the lifetime contact gap was descriptive. Perceived need was assessed using two derived 12 month perceived-need measures based on direct ENSM variables and service contact routing items. Analyses incorporated weights, strata, and clusters. Adjusted prevalence ratios were estimated using survey weighted Poisson models. Results. The dataset contained information on 13,840 individuals; 13,833 had complete survey-design information. Contact gap denominators were 3,927 for lifetime disorders and 1,649 for 12-month disorders. The lifetime and 12-month contact gaps were 61.0% (95% CI 58.4-63.7) and 84.5% (95% CI 81.5-87.6), respectively. Rural estimates exceeded urban estimates in both periods; after adjustment, poverty and rural residence were associated with the lifetime gap, and extreme poverty with the 12-month gap. Among individuals meeting survey-based criteria for one or more 12-month mental disorders, 37.3% (95% CI 33.4-41.4) reported self-perceived need, whereas 25.6% (95% CI 21.8-29.8) reported that need had been identified by others. Annual psychological and psychiatric service use was 3.7% and 1.1%, respectively. Conclusions. Mental health contact gaps were high, particularly for one or more 12-month mental disorders, and were associated with social and territorial variables. These contact measures do not establish adequate, continuous, or effective treatment, which needs to be addressed to understand the impact of the Peruvian mental health reform.

Objective: We examined whether perceived stress and sleep quality mediate the association between social support and later cognition among adults in the United States. Methods: We used longitudinal Midlife in the United States (MIDUS) data. Social support (1995-1996) was modeled as a latent construct indicated by family and friend support. Perceived stress and sleep quality were measured in the MIDUS 2 Biomarker Project (2004-2009), and cognition was assessed in MIDUS 2 and MIDUS 3. Structural equation models evaluated parallel indirect pathways, adjusting for MIDUS 2 cognition and covariates. Results: Higher social support was associated with lower perceived stress ({beta}=-0.32, 95% CI:-0.41, -0.23) and better sleep quality ({beta}=-0.25, 95% CI:-0.35, -0.15). Greater perceived stress was associated with lower cognition ({beta}=-0.06, 95% CI:-0.11, -0.01), whereas sleep quality was not associated with cognition. Direct and total social support-cognition associations were not statistically significant. A small positive indirect association through perceived stress was identified ({beta}=0.02, 95% CI:0.00, 0.04); no indirect association through sleep quality was identified. Conclusions: Findings are consistent with a possible psychosocial pathway through perceived stress, although the effect was modest and total and direct associations were not statistically significant. Sleep quality showed no statistically significant indirect association.

Background: Clinician-scientists translate clinical observation into discovery, trials, and policy, yet this workforce is shrinking across health systems worldwide. Integrated MB-PhD training, pausing medical training to complete a PhD before clinical exposure or specialisation, is one route into this career. We aimed to evaluate the long-term value of MB-PhD training and the barriers to clinical-academic careers these face after graduation. Methods: We evaluated all 131 graduates (29.8% female) who entered the University College London (UCL) MB-PhD programme over a 25-year period (1994-2018). Bibliometric outputs were collated via an inter-linked information system. Concurrently, all 131 graduates were invited to respond to open-ended questions on career benefits and structural barriers; 99 (75.6%) responded, and responses were independently coded into themes, which were then reviewed and confirmed by a Study Group of 107 individuals, including the 91 respondents who agreed to participate further. Results: Graduates produced 5,877 publications (1,141 first-author, 819 corresponding-author), attracting 350,754 citations, with a mean relative citation ratio of 3.30 {+/-} 0.47, approximately three times the field average and sustained across three decades of programme entry. Graduates secured an estimated $157.55 million across 99 grants, released 465 public datasets, and were named investigators on 31 clinical trials across five continents. Among the 99 survey respondents, 49.5% held consultant-grade posts, 72.7% remained research-active, and 25.3% had reached senior academic grade. Open-ended responses were coded into five recurring structural barriers, subsequently confirmed by the Study Group: insufficient protected research time (72.2% of responses), unsupportive training structures and limited career opportunities (36.7%, 24.4% of responses), funding and pay barriers (22.2% of responses), and lack of mentorship or geographical/family constraints (14.4%, 13.3% of responses). Conclusions: Integrated MB-PhD training generates sustained academic productivity and leadership, but structural barriers threaten retention of graduates within clinical-academic careers. Protecting research time, stabilising funding and pay, and reducing geographic instability are needed to retain the clinician-scientists that health systems have already invested in training.

Unhealthy retail outlets, including liquor stores, bars, convenience stores, and fast food, are concentrated in lower-income neighbourhoods. This is a well-documented cross-sectional fact; the process that sustains it is not. A neighbourhood can hold more because more open there or because those already there survive longer, and these point to different responses. We assembled an establishment-level panel of every business in Rhode Island from 2016 to 2025 (480,923 geocoded establishment-years across nine annual cross-sections), following the same outlets year to year, and classified and counted unhealthy outlets by census tract. We estimated the tract income gradient three ways (negative binomial regression, a concentration index, and a Bayesian spatial model), tested its stability, and decomposed it into openings and closures. The gradient was strong, stable, and robust: about 30 percent fewer unhealthy outlets per resident per standard deviation of higher income, with racial composition and poverty no longer associated once income was included. It was reproduced through entry, not survival: closures were even-handed across income, while new unhealthy outlets opened about 2.2 times as often per resident in the lowest-income tracts as in the highest. This entry was not unhealthy-specific: new healthy food retail tilted toward lower-income tracts at least as strongly, and the unhealthy share of openings did not rise as income fell. The standing burden was nonetheless dominated by convenience stores and off-premise alcohol. Efforts to reshape the retail environment will have more leverage on new openings than on the existing stock, through instruments defined by outlet type.

Objective: To examine if food insecurity moderates the relationship between rurality and mental health outcomes (suicide mortality, poor mental health days, frequent mental distress) and to assess if these effects vary across U.S. Census divisions. Methods: This county-level (n=2,397) cross-sectional study used OLS and spatial error regression to analyze public data from sources including the County Health Rankings and USDA. We modeled suicide mortality, poor mental health days, and frequent mental distress as functions of the Index of Relative Rurality (IRR) and food insecurity, controlling for median income and provider rates. The suicide model was also tested across nine U.S. Census divisions. Results: Baseline models revealed a paradox: rurality was a direct risk factor for suicide (B=0.400) but protective for poor mental health days (B=-0.224). The national multivariable model revealed a significant, positive rurality-food insecurity interaction for suicide mortality (B=0.861), indicating a synergistic risk. This interaction was not significant for general mental distress, which was more strongly predicted by income and food insecurity. Regional analysis confirmed the suicide interaction was potent in five divisions, including the Pacific (B=3.048) and Mountain (B=1.712) , but absent in others (e.g., South Atlantic). Conclusions: The drivers of suicide are distinct from those of general mental distress and are geographically heterogeneous. The interaction of rurality and food insecurity creates a compounded risk for suicide. Suicide prevention must be regionally-tailored and address structural inequalities, such as food insecurity, alongside clinical care.

IMPORTANCE With a growing global user base of 3.5 billion and users spending nearly as much time gaming as on social media, video gaming's effects on mental well-being have attracted scholarly and public interest. Despite the WHO's inclusion of gaming disorder in ICD-11 and government-mandated restrictions in multiple countries, the causal evidence supporting such policies remains limited. OBJECTIVE To investigate the causal effect of video gaming on mental well-being in the post-COVID period. DESIGN A natural experiment of game console lottery was used to identify the causal effect of video gaming on mental well-being. The intention-to-treat effect was estimated using multivariate regression and propensity score matching. Causal effects of game engagement were estimated using the instrumental variable method (two-stage least squares) and a causal machine learning algorithm, instrumental forest. SETTING Online surveys were conducted between September 2022 and March 2023, covering all 47 prefectures in Japan. PARTICIPANTS A total of 71,435 participants aged 10-69 answered the surveys. 6,911 individuals participated in the natural experiment. EXPOSURES Video game engagement, including video game console ownership, use of the console in the last 30 days, and video gaming duration. MAIN OUTCOMES AND MEASURES Psychological distress and life satisfaction. RESULTS The intention-to-treat effects of winning game console lotteries on mental well-being were positive (0.1 SD). Game console ownership improved mental well-being by 0.1-0.2 SD, and past-month play improved it by 0.2-0.3 SD. An extra hour of daily video game play led to 0.3-0.5 SD improvements in mental well-being. CONCLUSIONS AND RELEVANCE This study found that video gaming had a positive effect on mental well-being in the post-COVID period. The consistency of the effect size with that of a related COVID-period study adds robustness to our findings. Our findings add to the growing evidence that digital media screen time has diverse effects on well-being and support public health policies that recognize the potential mental well-being benefits of appropriate levels of video gaming.

Background: Previous trauma research includes many limitations, such as the scarcity of pretraumatic health measurements and assessment of traumatic experiences with a broad scope across the lifespan. To respond to these gaps, we aimed to develop a new, prospective, population-based trauma dataset from childhood to middle age. Methods: We used the Young Finns Study that is a population-based, multi-generational, prospective study (n = 3596 for the main generation). It has started in 1980 (baseline assessment) and includes follow-ups in 1983, 1986, 1989, 1992, 1997, 2001, 2007, 2011/2012, and 2018-2020. From the 38-year follow-up and ten measurement points of the YFS, we collected all relevant trauma variables, including both free-format and structured questions that both the participants and their parents responded to. By a data-driven case-to-case analysis, we developed a scale to numerically capture variation in the quality of the experiences. Results: Our final dataset captured a total of 7769 traumatic experiences. We also developed the Traumatic Experience Severity Scale (TESS), including six subscales such as shamefulness, rarity, danger to life or health, effects on everyday life, human-made physical threat, and whether the target person was within or outside one's household. We also preprocessed the dataset to be later easily interleaved with other psychological, cardiovascular, and epigenetic variables of the YFS. Conclusions: We believe this new trauma dataset with thousands of experiences across the lifespan provides new opportunities to multidisciplinary, lifelong trauma research.