International Journal of Public Health

Background/Objective: Seasonal upper respiratory tract infections (URTIs) are common in children and contribute to absenteeism and reduced quality of life. Over-the-counter treatments show limited efficacy and may cause adverse effects, thus warranting the need for natural alternatives. This study evaluated the efficacy of a whole-fruit supplement derived from boysenberry and apple (BerriQi) in reducing symptom severity and duration in school-aged children with URTIs using the Wisconsin Upper Respiratory Symptoms Survey for Kids (WURSS - K). Methods: In this double-blind, randomised, placebo-controlled study, 84 children aged 5 -13 years with URTI-associated school absence were assigned to receive BerriQi or placebo (two chewable tablets daily) for 14 days. Outcomes included the severity and duration of global illness, composite symptom and function scores. Results: Both groups showed progressive reductions in global illness severity, symptom, and function score over 14 days. However, the BerriQi group consistently reported lower scores across all outcomes. While global illness severity did not differ significantly between groups, total symptom severity was significantly reduced with BerriQi (P=0.04), and functional scores showed a trend toward improvement (P=0.05). The BerriQi group experienced fewer sick days compared with placebo (8 vs. 11 days) and demonstrated a higher likelihood of functional recovery (HR = 1.79, 95% CI: 1.09 - 2.91; P=0.02). Conclusions: These findings suggest that BerriQi may serve as a promising natural paediatric supplement for alleviating respiratory illness symptoms and supporting faster functional recovery, potentially reducing school absenteeism associated with upper respiratory tract infections (URTIs).

Objectives: To estimate the prevalence of Post-Exertional Malaise (PEM) among adults with prior COVID-19 and associated mental health and disability outcomes. Methods: We conducted a cross-sectional analysis of data from a survey of 9,620 adults with prior COVID-19 in New York City, collected May - June 2024. PEM was measured with the DePaul Symptom Questionnaire - Post Exertional Malaise, categorized by symptom duration (< 14 vs. [&ge;]14 hours). Weighted prevalence estimates were stratified by socio-demographic and clinical characteristics. Modified Poisson regression was used to assess the association of PEM with depression, anxiety, and disability. Results: The prevalence of PEM symptoms was 20.9% overall and 4.0% with symptom duration [&ge;]14 hours, representing over 800,000 New Yorkers affected and over 150,000 who meet a diagnostic criterion for ME/CFS. PEM prevalence was higher among women, transgender and non-binary adults, people of color, and lower educational attainment, chronic comorbidities, or disabilities. PEM was associated with 3 - 4 times higher prevalence of mental health outcomes and 4 - 5 times higher disability scores. Conclusions: PEM symptoms were common and strongly associated with disability and adverse mental health. Screening, pathways to care, and supportive policies are needed to mitigate long-term consequences, particularly among marginalized populations.

Aims: The COVID-19 pandemic has significantly impacted global mental health. At the onset of the pandemic (2020), Belgians experienced increased anxiety, depression, and psychological distress compared to 2018 due to the outbreak and the associated public health measures. Understanding the drivers of this distress is crucial for mitigating mental health effects in future crises. This study examines determinants of psychological distress in Belgium during the March 2020 lockdown, using data from the Great Corona Study (GCS). Methods: Data were drawn from the second wave of the GCS, a citizen science initiative conducted in Belgium on March 24, 2020, with 332,169 respondents. Psychological distress was measured using the General Health Questionnaire-12 (GHQ-12), applying a 2/3 cutoff to classify distress levels. To identify predictor variables, a random forest algorithm and literature review reduced 207 initial variables to 16. A generalized linear model was then used to examine associations between predictors and psychological distress Results: Psychological distress was significantly associated with various demographic, social, occupational, and health-related factors. Younger individuals, women, and residents of Wallonia or Brussels exhibited higher odds of distress. Household composition, and the frequency of real-life social interactions significantly influenced distress levels. Occupational status played a key role, with part-time employees and working students exhibiting higher levels of distress. At the same time retired individuals with no current occupation showed lower odds. Perceived workplace safety and compliance with public health measures also significantly impacted distress levels. Lastly, individuals experiencing influenza-like or COVID-19 symptoms had substantially higher odds of psychological distress. Conclusions: Our findings highlight significant sociodemographic, occupational, and health-related predictors of psychological distress during the initial COVID-19 lockdown in Belgium. Young adults, women, individuals with limited in-person interactions, and those experiencing influenza-like illness or COVID-19 symptoms were particularly vulnerable. Additionally, perceptions of others' adherence to preventive measures played a crucial role in mental well-being. These results highlight the complex interplay between individual and environmental factors in shaping psychological distress, providing valuable insights for future public health policies and mental health interventions during crises.

Climate change draws attention to the planetary health perspective in sport and exercise sciences, that is, to physical activity that supports both human wellbeing and environmental sustainability. Active commuting is a sustainable form of physical activity with well-established somatic health benefits. However, more knowledge is needed on its relationship with mental health. We examined dose-response associations between active commuting, anxiety symptoms, and mental wellbeing among Finnish adults, and whether green commuting environment moderates these relationships. We used data from the cross-sectional Environment and Health Survey collected in June-September 2023 in the ten largest cities in Finland. Employed participants with data on anxiety symptoms (Generalized Anxiety Disorder-7, GAD-7), mental wellbeing (World Health Organization-Five Well-Being Index, WHO-5), commuting profile over a year (mode, frequency, distance, and perceived greenness along the commute route), and sociodemographic and lifestyle factors were included (n=1,672; mean age 45.3 years; 53.8% women). Active commuting was defined as travelling the entire commute by walking or cycling (including e-biking) that was converted into approximated annual km/week and MET-h/week. We used linear and logistic regression with restricted cubic splines to evaluate dose-response associations, adjusted for key covariates. The role of perceived greenness was tested using an active commuting x commute greenness interaction term. We found no dose-response relationships between active commuting and anxiety symptoms or mental wellbeing in any of the models. No effect modification by commute greenness was observed. More research on how active commuting may support planetary health from a mental health perspective is needed.

Introduction: Multidomain lifestyle interventions may slow down cognitive decline and dementia, but the brain mechanisms underlying these effects remain unclear. We investigated brain, inflammation, cardiometabolic, and gut health changes associated with a six-month multidomain lifestyle intervention in Dutch older adults at risk for cognitive decline and dementia. Method: Participants aged 60-75 years with [&ge;]2 lifestyle-modifiable cardiovascular risk factors (e.g., BMI [&ge;]25, physical inactivity) were recruited and randomised in a 1:1 ratio to a high-intensity intervention or active control group using stratified (2,4) block-randomisation. The multidomain lifestyle intervention included five lifestyle domains (diet, physical activity, stress management and mindfulness, cognitive training, and sleep). Primary outcomes were changes in cerebral perfusion levels, brain activity during working memory, working memory performance, inflammation profile, and microbiota diversity. Secondary outcomes included lifestyle factors and markers of neuroimaging, brain health, cardiovascular and gut health, and cognitive functioning. The effects of the lifestyle intervention were investigated using linear mixed-effect models. Results: A total of 102 participants were randomised into the intervention (n=53) or active control group (n=49), of which 86 participants completed the six-month multidomain lifestyle intervention. Baseline characteristics were similar between the groups. Within the intervention group, favourable reductions in lifestyle-modifiable cardiovascular risk factors, such as BMI and blood pressure, were observed, but these were not significantly different from changes in the active control group. The intervention resulted in improved diet and sleep scores in the intervention group compared to the active control group (Beta 1.67, 95% CI 0.61;2.73, PFDR=0.01, and Beta -1.80, 95% CI -2.79;-0.81, PFDR=0.005, respectively). The intervention did not result in significant changes over time between the intervention and control group in primary and secondary outcomes. Conclusion: The HELI multidomain lifestyle was able to reduce lifestyle-modifiable cardiovascular risk factors associated with dementia, although not significant compared to the active control group. We did not observe significant intervention effects on brain, cardiometabolic, inflammatory, and gut health outcomes. These results emphasize the complexity of exploring the role of lifestyle on neurobiological brain mechanisms associated with maintaining optimal cognitive functioning in aging and their underlying peripheral (to central) mechanisms.

Abstract Background To estimate the frequency of likely, often undiagnosed autism and attention deficit hyperactivity disorder (ADHD) in UK adults of working age (18-66 years) who are not in education, employment, or training (NEET), and to examine whether neurodivergent traits are associated with NEET status directly and indirectly via health burden and educational attainment. Design Frequency-matched online case-control study. Setting UK general population, recruited via online research platform Prolific. Participants Six hundred adults of working age (18-66 years); 300 NEET, 300 in education, employment, or training (EET) matched at the marginal level on age, sex assigned at birth, and ethnicity. Primary and secondary outcome measures Autistic traits (Ritvo Autism and Asperger Diagnostic Scale-14, RAADS 14) and ADHD traits (Adult ADHD Self Report Scale, ASRS 5) indexed likely autism and ADHD (cut off [&ge;]14 on each). Physical and mental health conditions were self reported and aggregated into composite indices of health burden. NEET status was the primary outcome; educational attainment and health burden were tested as parallel mediators of the association between neurodivergent traits and NEET status. Results NEET participants screened positive more frequently for likely autism (66.3% vs 49.0%; OR 2.05, 95% CI 1.48 to 2.85) and likely ADHD (34.3% vs 26.0%; OR 1.46, 95% CI 1.03 to 2.08) than EET participants, despite identical existing formal diagnosis rates. Physical (OR 2.00, 95% CI 1.38 to 2.90) and mental (OR 2.57, 95% CI 1.80 to 3.68) health conditions were also associated with higher odds of NEET status. In mediation analyses, neurodivergent traits predicted NEET status both directly (OR 1.33, 95% CI 1.13 to 1.68) and indirectly via greater health burden (indirect OR 1.13, 95% CI 1.02 to 1.35) and lower educational attainment (indirect OR 1.08, 95% CI 1.03 to 1.15). Conclusion NEET adults showed a marked excess of autism and ADHD traits, alongside elevated physical and mental health burden and lower educational attainment. Earlier recognition of neurodivergent traits, proactive provision of equitable requirements in education and employment, and integrated physical and mental health support may reduce NEET risk in this population. This has considerable implications for policy and practice in health, education, and wider society.

Objectives: Healthcare data can reveal actionable opportunities to prevent asthma hospitalizations. Limited national-level data exist regarding social determinants of health (SDOH) and asthma hospitalizations. We examined SDOH-related International Classification of Diseases, Tenth Revision (ICD-10) Z-codes in national administrative data on asthma hospitalizations and described patient- and hospital-level characteristics associated with documented SDOH Z-codes. Methods: Pooled cross-sectional analysis of 2016-2022 Nationwide Inpatient Sample for 200,452 U.S. hospitalizations (all ages) with a primary diagnosis of asthma. Presence of SDOH Z-codes (codes Z55-Z65) assessed by descriptive statistics and multivariable logistic regression to calculate odds ratios (ORs) and 95% confidence intervals (95% CIs) for associations between SDOH Z-codes and patient- and hospital-level characteristics. Results: In unweighted analyses, 3,149 asthma hospitalizations had SDOH Z-codes (1.57%). The most common SDOH Z-codes were homelessness (Z59.0; n=942) and unemployment (Z56.0; n=349). Weighted chi-square analyses found all selected variables were associated with asthma hospitalization SDOH Z-code documentation. Logistic regression results varied; adjusted odds for SDOH Z-code documentation were higher for asthma hospitalizations involving male patients (aOR=1.51; 95% CI, 1.39-1.63; P < .001) compared to female patients. Asthma hospitalizations involving rural hospitals had lower odds of SDOH Z-codes documentation (aOR=0.57; 95% CI, 0.47-0.70; P < .001) compared to urban teaching hospitals. Conclusions: National 2016-2022 data indicate housing- and employment-related Z-codes were the most commonly documented SDOH within asthma hospitalizations. Future analyses could consider establishing causality and exploring how relationships between these SDOH may be used by public health practitioners and others to improve program interventions.

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.

Type 2 diabetes (T2D) affects more than 16 million Brazilians and has nearly doubled in the last 20 years. Lifestyle interventions reduce T2D incidence in people at risk of developing the disease; however, no large-scale trials have evaluated diabetes prevention programs in Brazil or compared telehealth and hybrid delivery in middle-income settings. These are key gaps that must be addressed to enable nationwide scale-up, particularly in primary care settings and remote areas. This article presents the protocol for the PROVEN-DIA trial, designed to address these evidence gaps. PROVEN-DIA is a multicenter, open-label, randomized controlled superiority trial with a parallel design enrolling 1,305 adults with prediabetes at 30 sites across all five Brazilian regions (ClinicalTrials.gov: NCT06426277). Participants will be randomly assigned in equal numbers to one of three groups. All groups receive lifestyle guidance targeting diet, physical activity, sleep, stress, alcohol consumption, and smoking, in accordance with Brazilian national guidelines. The two intervention groups receive PROVEN-DIA, a structured 36-month lifestyle program with 43 scheduled contacts encompassing individual counseling sessions, structured support contacts, and group education sessions, delivered either in a hybrid format (PROVEN-DIA) or telehealth only (TelePROVEN-DIA). The control group receives the same lifestyle guidance through unstructured individual visits every six months, without predefined content or ongoing support. The primary outcome is the cumulative incidence of type 2 diabetes at 36 months. Secondary outcomes include body weight, fasting glucose, glycated hemoglobin (HbA1c), dietary quality, physical activity, sedentary behavior, sleep quality, perceived stress, alcohol consumption, smoking behavior, and health-related quality of life. Analyses will follow the intention-to-treat principle.

Background: Long Covid affects millions worldwide and disrupts the personal, professional, and social lives of those affected. Yet, insights on the day-to-day experience of living with Long Covid, how people adapt to the condition, and how they experience care remain limited. Methods: Between November 2024 and February 2025, we recruited people living with Long Covid through Long Covid related studies and patient networks. Data were collected through a one-time semi-structured survey, completed using a speech-to-text feature with automatic transcription, and addressing 1) key events and experiences, 2) coping and support strategies, and 3) advice to others affected. We applied an inductive thematic analysis to develop a framework of key themes. Results: We included 137 participants (median age 48 years, 73.7% women, median three years since SARS-CoV-2 infection). Analysis yielded 13 sub-themes within four key themes: medical issues; social, occupational and health care impact; barriers to recovery; and resources and strategies. Participants described a broad range of symptoms, most notably fatigue, cognitive difficulties, post-exertional crashes and psychological symptoms including depression and, in some cases, suicidal thoughts. These symptoms profoundly disrupted their social, working and family lives. In severe cases, independent living became impossible, with social isolation, severely reduced activity, and financial difficulties. Many described a long diagnostic journey in which symptoms were frequently dismissed as psychological and early advice to stay active that worsened their condition. The health care and social security systems were seen as ill-equipped to support people affected by Long Covid. With no effective causal therapies, treatment focused on symptom relief and participants tried many complementary and alternative treatments. Pacing was the only strategy widely used and perceived as effective in preventing crashes, alongside lifestyle adjustment, peer support, and maintaining hope. Conclusion: These narrative accounts reveal a multidimensional burden of Long Covid, one that is exacerbated by how affected people are treated within the health and social systems. These findings underscore the need for empathic, knowledgeable care, validation of people's experiences, and policy frameworks equipped to recognize and support people with Long Covid. Patient or Public Contribution: This study is about the lived experiences of people affected by Long Covid. During the conceptualization phase, we consulted three people with lived experience of Long Covid to discuss the relevance of the research questions and study design. All participants received a newsletter with a plain language summary of interim findings. Following completion of this analysis, we conducted a focus group discussion with eight participants to validate our findings, identify gaps, and ensure that the findings accurately reflected their experiences. Feedback from this process informed the final manuscript.

Importance: Loneliness is associated with premature mortality and poor mental health and was declared an epidemic by the US Surgeon General in 2023, but national surveillance has relied on state-based or experimental online surveys. In 2024, the National Health Interview Survey measured loneliness directly for the first time. Objective: To estimate the national prevalence of loneliness among US adults, identify the sociodemographic groups with the highest burden, and quantify associations with mental health, health status, and health care use. Design: Cross-sectional analysis of the 2024 National Health Interview Survey, a nationally representative household survey conducted continuously from January to December 2024. Setting: US households; face-to-face and telephone interviews. Participants: 32 629 sampled civilian noninstitutionalized adults aged 18 years or older (response rate, 47.9%); 31 470 (96.4%) had valid loneliness data. Exposures: Frequent loneliness, defined as feeling lonely always or usually on a 5-category item (always, usually, sometimes, rarely, never). Main Outcomes and Measures: Survey-weighted prevalence of loneliness overall and by sociodemographic characteristics, and associations of frequent loneliness with serious psychological distress (Kessler 6 scale score 13 or higher), frequent feelings of depression and anxiety, life dissatisfaction, fair or poor self-rated health, receipt of counseling or therapy, cost-related unmet mental health care need, and emergency department use. Results: In 2024, 4.9% (95% CI, 4.6%-5.2%) of US adults, an estimated 12.2 million people, felt lonely always or usually, and 23.7% (95% CI, 23.1%-24.3%), an estimated 59.3 million, felt lonely at least sometimes. Prevalence of frequent loneliness was highest among adults with family income below the federal poverty level (10.3%), adults with disability (13.6%), adults living alone (9.0%), and American Indian or Alaska Native adults (12.2%). Adults aged 65 years or older had the lowest prevalence of any age group (4.0%) and adults aged 18 to 29 years the highest (6.3%). After adjustment for sociodemographic characteristics, frequent loneliness was associated with serious psychological distress (adjusted odds ratio, 14.5; 95% CI, 12.1-17.3), life dissatisfaction (9.0; 95% CI, 7.6-10.8), cost-related unmet mental health care need (4.3; 95% CI, 3.5-5.2), and emergency department use (1.8; 95% CI, 1.5-2.0). Conclusions and Relevance: Loneliness among US adults was patterned by poverty, disability, and household structure rather than older age. These estimates from the nation's principal household health survey provide a benchmark for monitoring loneliness and suggest that strategies for social connection should address material hardship and access to mental health care.

Background: Caregivers of children with retinoblastoma (RB) face substantial psychological and socioeconomic challenges. However, the factors independently associated with caregiver burden and the distribution of risk across caregiver subgroups remain incompletely characterized. We examined psychosocial and socioeconomic correlates of caregiver burden, identified distinct vulnerability profiles, and evaluated factors associated with high-risk profile membership. Methods: This cross-sectional study enrolled 413 primary caregivers of children with RB at a tertiary ophthalmic oncology center. Participants completed validated measures of caregiver burden (ZBI-22), anxiety (GAD-7), perceived social support (PSSS), family functioning (FAD-GF), and mental and physical quality of life (SF-12 MCS and PCS). Multivariable linear regression identified factors independently associated with caregiver burden and mental quality of life. Mediation analysis evaluated the indirect association between social support and burden through family functioning, and moderation analysis assessed whether household income modified the association between family dysfunction and burden. Latent profile analysis (LPA) identified caregiver risk profiles, and multinomial logistic regression examined factors associated with profile membership. Results: Anxiety showed the strongest independent association with greater caregiver burden (standardized coefficient beta = 0.641, 95% CI [1.46, 1.84], P < 0.001) and poorer mental quality of life (beta = -0.483, 95% CI [-0.12, -0.08], P < 0.001). Family debt was independently associated with greater burden (beta = 0.195, P = 0.040). Family functioning accounted for 32.19% of the total association between social support and burden. Household income modified the association between family dysfunction and burden (interaction B = -0.85, P < 0.001), with a steeper gradient in lower-income households. LPA identified three profiles: severe burden-high vulnerability (n = 82, 19.85%), moderate burden (n = 193, 46.73%), and mild burden-high resilience (n = 138, 33.41%). Low-to-moderate household income was associated with higher odds of severe-profile membership (OR = 31.50, 95% CI [6.56, 151.24], P < 0.001). Conclusions: Caregiver burden in pediatric RB was associated more strongly with psychosocial and socioeconomic factors than with the clinical indicators examined. Family functioning partly accounted for the association between social support and burden, while household income modified the association between family dysfunction and burden. These findings support prospective evaluation of family-centered and financial-support interventions and suggest that profile-based screening may help identify caregivers requiring more intensive support.

Depressive disorders are one of the most common psychiatric conditions worldwide. We systematically screened a prespecified exposure panel for associations with depressive symptoms and evaluated cross-wave replication among Brazilian adults. This preregistered exposure-wide association study used independent, nationally representative cross-sectional samples from the 2013 (n=60,202) and 2019 (n=88,531) Brazilian National Health Surveys. 31 general exposures were assessed with survey-weighted regression; four occupational exposures were analysed separately. The primary outcome was a positive Patient Health Questionnaire-9 screen (PHQ-9 >=10); continuous PHQ-9 score was secondary. Discoveries required a Benjamini-Yekutieli-adjusted p<0.05 in 2013; replication required the same coefficient direction and raw p<0.05 in 2019. 21 general exposures were primary discoveries, and all replicated. Associations spanned health status/health care (n=11), behaviour/participation (n=5), and social/material context (n=5). Poor or very poor vs very good self-rated health showed the largest association (adjusted prevalence ratio 10.97, 95% CI 8.79-13.69 in 2013; 12.33, 10.19-14.92 in 2019). Replicated correlates also included morbidity, smoking, prolonged television viewing, diet, group activities, education, income, sanitation, and nearby public space. All 25 continuous-outcome discoveries replicated. All four occupational associations retained the same direction and raw p<0.05 in 2019. This recurrent profile provides a reproducible map for prioritizing longitudinal research but, because both waves were cross-sectional and exposures were modelled separately, does not establish temporality, causality, or independent effects.

Background: Depressive and anxiety symptoms are prevalent among older adults and associated with increased dementia risk. In healthy older adults, higher step counts are associated with fewer depressive and anxiety symptoms; whether this holds in individuals with cognitive concerns (subjective cognitive decline [SCD] or mild cognitive impairment [MCI]) is unknown. In a randomised controlled trial, the 12-month APPLE-Tree group psychosocial lifestyle intervention produced small cognitive improvements but no change in step count. Objective: To test whether step count was associated with depressive and anxiety symptoms (cross-sectionally and over 24 months), and whether APPLE-Tree increased step count in participants with clinical anxiety or depression. Methods: We examined cross-sectional and longitudinal (12- and 24-month) associations between step count (two-week average from wrist-worn wearables) and depressive and anxiety symptoms (Hospital Anxiety and Depression Scale) using adjusted linear regressions, with a mediation analysis of self-perceived mobility. We also tested whether the intervention increased step count in those with baseline clinical anxiety or depression. Findings: We included 629 of 746 trial participants at baseline, of whom 376 contributed 12-month and 215 24-month data. At baseline, higher step counts were associated with fewer depressive symptoms ({beta} = -0.11, 95% CI -0.17 to -0.05, p < 0.001) but, counter to our hypothesis, more anxiety symptoms ({beta} = 0.12, 95% CI 0.06 to 0.19, p = 0.003). Over two years, change in step count was not associated with change in depressive or anxiety symptoms (all p [&ge;] 0.12). Self-perceived mobility problems mediated the association between step count and depressive but not anxiety symptoms. The intervention did not change step count in those with clinical anxiety or depression. Conclusions: This provides the first evidence in older adults with cognitive concerns that higher step counts are associated with fewer depressive but more anxiety symptoms. This may reflect heterogeneity of a population that includes those with prodromal dementia and cognitive health anxiety. Step count did not predict symptoms over time. Clinical implication: Step count may help distinguish anxiety and depressive symptoms in people presenting with cognitive concerns, or underlying reasons for cognitive concerns among those with functional cognitive disorders.

Cultural engagement is associated longitudinally with better mental health and reduced depression incidence, but evidence has largely relied on self-reported symptoms and diagnoses, leaving uncertainty about clinically recorded disorders, and residual confounding remains a concern. Here, we examined whether cultural engagement (including going to cinemas, museums, galleries, exhibitions, theatre, concerts, or opera) predicts hospital-treated mental disorders in 8,274 adults aged 50 years or older from the English Longitudinal Study of Ageing. Participant records were linked to ICD-10 diagnoses in Hospital Episode Statistics and mortality records with follow-up of up to 20 years. In fully adjusted Cox models accounting for sociodemographic, lifestyle, and social factors and multiple testing, frequent cultural engagement was associated with lower risk of any mental disorders (HR 0.71, 95% CI 0.62-0.82, FDR adjusted P value<0.001), dementia (0.71, 0.56-0.89, FDR adjusted P value=0.010), substance misuse (0.75, 0.59-0.95,FDR adjusted P value=0.040), and mood disorders (0.73, 0.56-0.95, FDR adjusted P value=0.044), but not neurotic disorders. Associations persisted after excluding early incident cases and adjusting for baseline depressive symptoms and cognition, and showed robustness to unmeasured confounders. To further probe causality, eye disease, ear disease, and traumatic brain injury, which share similar socio-demographic profiles to mental disorders, were prespecified as negative control outcomes. Cultural engagement was not associated with any negative control outcomes. These findings provide triangulated statistical data to suggest that cultural engagement is associated with reduced risk of several clinically recorded mental disorders and support further testing of cultural engagement as a population mental health strategy.

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: Undernutrition is the leading risk factor for tuberculosis (TB), yet evidence on programmatic nutritional support during treatment is limited. Benin and Togo are neighboring West African counties. Benin provides in-kind food support to all people with drug-susceptible TB; neighbouring Togo does not. This created the opportunity for a natural experiment. METHODS: We conducted a prospective cohort study at 13 sites in Benin and Togo (September 2023-June 2024). We compared recipients of nutritional support with non-recipients, using Beninese non-recipients as an internal comparison. Primary outcomes were [&ge;]5% weight gain at month 2, change in 6-minute walk test (6MWT) distance, and pill-count adherence. We used multivariable regression adjusted for pre-specified covariates. RESULTS: Of 769 participants, 450 received nutritional support and 319 did not. Recipients had higher odds of [&ge;]5% weight gain at month 2 (adjusted odds ratio [aOR] 1.57, 95% CI 1.13-2.19) and [&ge;]10% at month 6 (aOR 1.92, 1.35-2.74), greater 6MWT improvement (adjusted {beta} 40.6 m, 26.5-54.6), and higher adherence (aOR 3.43, 1.81-6.51). Mortality was lower among recipients (aOR 0.32, 0.11-0.93). Sputum conversion and treatment success did not differ. Beninese non-recipients resembled Togolese participants across outcomes. CONCLUSION: Programmatic nutritional support was associated with improved weight gain, functional recovery, adherence, and lower mortality during TB treatment, supporting its integration into national TB programmes.

This study aimed to examine factors associated with behavioural difficulties among school-aged children (aged 7 -11) using self-reported survey data linked with education data from a national cohort study of over 50,000 children (the HAPPEN national cohort) in Wales, UK between 2014 and 2024. Data include self-reported health and wellbeing linked to additional learning needs (ALN) status collected from education data in Wales. Measures included self-reported time spent on screens, frequency of sugary snack, fizzy drink and takeaway food consumption, physical activity levels, sleep duration and behavioural difficulties (as measured by the Me and My Feelings Survey). Associations were analysed using descriptive trends, K-means cluster analysis and multivariate regression modelling. Findings showed a rise in behavioural difficulties during and post Covid, which are now improving in Wales. Cluster analysis identified that children with poor sleep and high takeaway and fizzy drinks dietary habits had the highest levels of behavioural difficulties, a trend that remained significant after adjusting for all potential confounders. Physical activity associated with reduced behavioural difficulty, with 5-6 days of activity associated with the lowest difficulty scores. These findings suggest that behavioural difficulty is driven by health behaviours especially sleep and diet rather than single factors. The results highlight the need for integrated public health approaches that address dietary quality and sleep hygiene rather than focusing on single factors in isolation. Promoting more balanced daily activity patterns, promoting good sleep routines, improving food environments and building movement into the school day may have important benefits for childrens behaviour.

Background: Adolescent sleep health is a growing public health concern, yet no culturally responsive sleep health program has been developed for Aboriginal and Torres Strait Islander (First Nations) young people. This study reports the outcomes and acceptability of Australia's first co-designed sleep health program for First Nations adolescents. Methods: The Let's Yarn About Sleep adolescent program was co-designed with First Nations community members from 23 Traditional groups, involving 174 Elders, adolescents, parents, carers, and service providers. The program drew on an Aboriginal pedagogical framework and the COM-B behaviour change model, integrating Western and First Nations sleep science, and was delivered by Aboriginal Youth Workers trained as Sleep Coaches. Outcomes included self-reported improvements in sleep knowledge, sleep timing and continuity, sleep quality, overall sleep health, and psychological distress. Post-program changes in outcomes were assessed using linear mixed-effects regression analyses. Program ratings and yarning-based feedback assessed acceptability. Findings: 70 First Nations young people participated in the program (median age 13.0 years, range 12 - 8; 67.1% female). Sleep knowledge improved substantially, with the mean composite score increasing from -0.65 (SD 1.23) at baseline to 0.82 (SD 1.27) at follow-up, a large effect (Cohen's d = 1.18; p < 0.001). A significant improvement was observed in the overall sleep health score, representing a medium effect (Cohen's d = 0.63; {beta} = 0.68, 95% CI: 0.31 - 1.04; p < 0.001). Psychological distress showed a directional reduction that did not reach statistical significance (Cohen's d = 0.32; {beta} =0.49, 95% CI:-1.08 - 0.09; p = 0.097), though a modest beneficial effect cannot be excluded. High acceptability was reflected in program ratings and qualitative feedback, with participants reporting greater sleep awareness, improved sleep behaviours, and strong community engagement with the program. Interpretation: A culturally grounded, co-designed sleep health program can improve sleep knowledge and overall sleep health and achieve high acceptability among First Nations adolescents. Community leadership, local delivery, and the embedding of First Nations worldviews are likely central to achieving impact, highlighting a promising pathway to address sleep health inequities Funding: Medical Research Future Fund (APP1201569). No competing interests

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