Middle-aged adults face multifaceted physical and psychosocial challenges that impact their overall wellness. Exercise has become a key component of wellness interventions due to its positive impacts on physical and psychosocial health. However, the understanding of exercise-focused wellness interventions for this age group remains limited. Therefore, this scoping review aimed to identify and map the existing literature on exercise-focused wellness interventions for middle-aged adults and to summarise their characteristics and reported outcomes.

Scoping review.

Six databases, including PubMed, EMBASE, CINAHL, Cochrane Library, Web of Science and PsycInfo, were initially searched on 29 July 2024, and the search was updated on 12 October 2025, with no restrictions on publication date. The reference lists of articles selected in the database search were also screened for further relevant studies.

We included interventional studies, specifically randomised controlled trials (RCTs) and quasi-experimental designs, that examined exercise-focused wellness interventions for middle-aged adults.

Two independent reviewers extracted data on study characteristics and intervention details and outcomes, and assessed the risk of bias. Any discrepancies were resolved by a third reviewer.

A total of 15 studies were included in the review, of which 9 were RCTs and 6 were quasi-experimental studies. Most interventions targeted middle-aged women and were implemented in community settings. Exercise was often combined with diet and stress management. The majority of the interventions lasted for 3 months with weekly sessions. Additionally, various delivery modes were employed, including face-to-face, online, individual and group-based approaches. Outcome variables were categorised into exercise and physical activity, dietary intake, anthropometry and body composition, cardiovascular health, biochemical markers, menopausal symptoms, psychosocial health and wellness. Only one study assessed wellness as an outcome of the intervention. Across the included studies, improvements were commonly reported for physical and psychosocial health, whereas changes in biochemical markers were limited.

Exercise-focused wellness interventions for middle-aged adults encompass varied content and outcome variables, contributing to improvements in physical, psychological and social dimensions of health. Delivery modes are diverse, demonstrating flexibility and adaptability for tailored interventions. There is a need to develop a validated, midlife-specific measurement tool that reflects the multidimensional nature of wellness. Moreover, exercise-focused interventions tailored for middle-aged men, particularly in workplace settings, should be developed.

The home-based primary care cohort was set up to identify the characteristics of Home-Based Primary Care (HBPC) users across three domains: health-related information, utility of healthcare service and care-related information.

A total of 407 patients enrolled in five HBPC centres were recruited between January 2023 and March 2024. The baseline survey was conducted among 332 participants who provided informed consent for both study participation and home visits. The second wave of data collection is scheduled to take place 6 months after enrolment, while the third wave will be conducted 12 months post-enrolment. During each home visit, trained interviewers administered structured survey questionnaires. On completion of the 12-month follow-up period, the dataset will include survey data, intervention records from the five participating HBPC centres, home mortality status and institutionalisation risk linked to each participant.

This study examines HBPC in Korea, integrating the Widely Integrated Services in Home model with the long-term care insurance system. Among participants, 30.1% lived alone, and 74.1% were homebound, showing similarities to findings from a US HBPC study. Analysing cohort data, this study evaluates the impact of HBPC on healthcare utilisation, aligning with international findings on reduced hospitalisations and costs. As the first HBPC effectiveness study in Korea, it highlights its role in enhancing care for homebound older adults and shaping national health policies.

Data on the number of interventions by profession, institutionalisation and hospitalisation status and duration, and death at home occurrence are being separately collected from five HBPC centres and will be included in the analysis. The analysis will examine associations between these variables to identify risk factors influencing institutionalisation. Additionally, this study plans to link the dataset with the National Health Insurance Service-Senior (NHIS-Senior) customised cohort for further analysis.

Methotrexate (MTX) effectively controls rheumatoid arthritis (RA) but often leads to side effects (SE) such as gastrointestinal (GI) issues, liver toxicity and bone marrow suppression. To develop clinically interpretable machine learning (ML) models that accurately predict MTX-related SE in patients with RA taking MTX. The aim was to enhance predictive accuracy and to identify patient-specific risk factors using explainable artificial intelligence (XAI), thereby enabling transparent clinical interpretation. We specifically sought to address the unmet need for individualised risk stratification using real-world, multicentre observational data.

Retrospective case-control study.

Across 23 rheumatology clinics in South Korea, based on data from a nationwide multicentre cohort.

A total of 5077 patients with RA were initially enrolled from the Korean Observational Study Network for Arthritis. After excluding those with missing clinical, demographic or prescription data and those not receiving MTX, 2375 patients remained eligible. Among these, 1654 and 1218 patients were included in the overall SE and GI SE analysis groups, respectively, after 1:1 propensity score matching. All patients were aged ≥18 years and met the 1987 American College of Rheumatology classification criteria.

The primary outcome was the presence of SE in patients with RA taking MTX, categorised into overall SE and GI SE, based on standardised patient questionnaires and clinical assessments. The secondary outcome was the identification of key predictors using SHapley Additive exPlanations (SHAP) to enhance the interpretability of ML predictions.

Among six ML classifiers, extreme gradient boosting demonstrated the highest performance in predicting overall SE (area under the curve (AUC) 0.781, F1 score 0.672, area under the precision-recall curve (AUPRC) 0.757) and GI SE (AUC 0.701, F1 score 0.690, AUPRC 0.670). SHAP analysis identified key predictive features including age, physician visual analogue scale score, alanine aminotransferase, Health Assessment Questionnaire score, celecoxib use and drug adherence. Logistic regression confirmed statistical significance for multiple variables (eg, OR 4.63; 95% CI 1.41 to 20.90 for non-adherence >30 days; OR 1.45; 95% CI 1.14 to 1.85 for celecoxib use). DeLong’s test indicated that boosting models significantly outperformed support vector machine (p

Interpretable ML models using real-world clinical data can accurately predict SE in patients with RA taking MTX. These models may facilitate early identification of high-risk individuals and inform personalised treatment strategies. Integration into clinical decision support systems could improve MTX safety monitoring. Further prospective validation in external cohorts is warranted.

To develop a machine learning (ML)-based predictive model to determine the key predictors of dissatisfaction after occupational injury (OI).

A retrospective cohort study.

Nationwide 5-year panel data (2018–2022) from the Panel Study of Workers’ Compensation Insurance in South Korea.

A total of 2298 workers who completed compensation-related medical care in 2017.

Predictive modelling was conducted with extreme gradient (XG) Boost, light gradient boosting machine (GBM), CatBoost and random forest. SHapley Additive Explanations (SHAPs) analysis was conducted to interpret the feature importance. Further, logistic regression was conducted for comparison.

This study evaluated postinjury satisfaction among workers using survey items associated with satisfaction levels. We adopted a 5-year follow-up period.

Of the 2298 participants, 570 were dissatisfied. The logistic regression model indicated that dissatisfaction was significantly associated with unemployment (adjusted OR (aOR) 1.701; 95% CI: 1.296 to 2.233), lack of private health insurance (aOR 1.347; 95% CI 1.042 to 1.741) and lower perceived socioeconomic status (aOR 2.097; 95% CI 1.109 to 3.965). Among the ML models, light GBM exhibited the highest area under the receiver operating characteristics curve (0.770 (95% CI 0.718 to 0.819)), followed by CatBoost (0.768 (95% CI 0.718 to 0.815)), random forest (0.766 (95% CI 0.715 to 0.814)) and XGBoost (0.765 (95% CI 0.717 to 0.811)). The SHAP analysis demonstrated the total number of household members, extent of pain interference with daily life, perceived health status before injury and financial factors as the strongest predictors.

This study developed and demonstrated robust predictive performance of an ML-based model for determining dissatisfaction after OI. The key features included employment status, financial stability, chronic pain and cognitive function, highlighting the multifaceted nature of worker satisfaction.

Increased popularity of stepped-wedge cluster randomised trials (SW-CRT) highlights the importance of understanding and appropriate mitigation of sources of bias within this trial design. While current evidence suggests that ‘conventional’ cluster randomised controlled trials (RCTs) are at a higher risk of recruitment bias than individually randomised trials, this review aims to estimate the risk of recruitment bias in SW-CRTs.

Systematic review with search conducted on four databases. Risk of bias (RoB) was assessed using subdomain 1a (randomisation process) and 1b (timing of identification or recruitment of participants) of the Cochrane RoB tool 2.0 (extension for cluster RCTs).

MEDLINE, Embase, CINAHL, Cochrane Library were searched on 9 February 2024.

SW-CRTs published in 2023 were included.

Two independent reviewers screened and extracted all eligible papers. RoB was assessed with the Cochrane RoB tool.

Overall, 808 papers were screened, and 64 studies were included in the review. Most studies were deemed to have a high RoB (n=35, 55%), some concerns were noticed in 20 studies (31%), and 9 (14%) were considered to have a low RoB. The description of the randomisation process in the included papers was sometimes poorly reported (in 15 studies (23%) problems with the randomisation process were identified), and 21 studies (33%) had issues with sampling strategy (recruiting participants after randomisation by unmasked staff).

The review revealed that SW-CRTs are prone to recruitment bias, but the risks are comparable to cluster RCTs. When SW-CRTs are unable to recruit prior to randomisation, mitigation strategies could be implemented to reduce bias. A separate tool for RoB assessment in SW-CRTs is required to address the complexities of this trial design.

Deaths related to drug overdose and suicide in the USA have increased 500% and 35%, respectively, over the last two decades. The human and economic costs to society associated with these ‘deaths of despair’ are immense. Great efforts and substantial investments have been made in treatment and prevention, yet these efforts have not abated these increasing trajectories of deaths over time. The COVID-19 pandemic has exacerbated and highlighted these problems. Notably, some geographical areas (eg, Appalachia, farmland) and some communities (eg, low-income persons, ‘essential workers’, minoritised populations) have been disproportionately affected. Risk factors have been identified for substance use and suicide deaths: forms of adversity, neglect, opportunity indexes and trauma. Yet, the biological, psychological and social mechanisms driving risk are not uniform. Notably, most people exposed to risk factors do not become symptomatic and could broadly be considered resilient. Achieving a better understanding of biological, psychological and social mechanisms underlying both pathology and resilience will be crucial for improving approaches for prevention and treatment and creating precision medicine approaches for more efficient and effective treatment.

The State of Ohio Adversity and Resilience (SOAR) study is a prospective, longitudinal, multimodal, integrated familial study designed to identify biological, psychological and social risk and resilience factors and processes leading to mental health disorders, substance use disorders, substance overdose, suicide and associated psychological/medical comorbidities which reduce life expectancy and quality of life. It includes two nested longitudinal samples: (1) WD Survey: an address-based random population epidemiological sample of 15 000 individuals (unique households) representative of the state of Ohio assessed for psychosocial, psychiatric, behavioural health and substance use factors and (2) Brain Health Study: a family-based, multimodal, deep-phenotyping study conducted in 1200 families (up to 3600 persons aged 12–72 years) including MRI, electroencephalography, blood biomarkers and psychiatric diagnostic interviews, as well as neuropsychological, psychosocial functioning and family/community history, dynamics and support assessments. SOAR is designed to discover, develop and deploy advanced predictive analytics and interventions to transform mental health prevention, diagnosis, treatment and recovery.

All participants will provide written informed consent (or parental permission and assent for minors). The study was approved by The Ohio State University Institutional Review Board (study numbers 2023H0316 (Brain Health) and 2023H0350 (Wellness Survey). The Brain Health study was also approved by institutional review boards at each partnering institution involved in conducting participant assessments. Findings will be disseminated to academic peers, clinicians and healthcare consumers, policymakers and the general public, using local and international academic channels (academic journals, evidence briefs and conferences) and outreach (workshops and seminars).

This study examined factors associated with the use of Indonesia’s National Health Insurance (NHI) among its beneficiaries in Maluku province.

Cross-sectional study.

The individual-level data were derived from the 2021 Social Health Insurance Sample Data. National health reports of Indonesia were used to provide the district-level variables. We performed multivariable logistic regression analyses to identify factors associated with NHI use among its beneficiaries in Maluku province.

Data were collected from 31 517 NHI beneficiaries registered in Maluku.

The primary outcome was the use of NHI insurance when accessing healthcare services (yes/no).

Only 14.79% of NHI beneficiaries in Maluku had ever used their insurance for healthcare services. Individual factors associated with higher NHI use included being under 60 years, females (adjusted OR (aOR)=1.29, p

Strengthening primary healthcare accessibility, improving the distribution of healthcare workers and addressing socioeconomic and geographical disparities are essential to ensure that the NHI scheme achieves equitable use across all regions in Maluku and other areas with similar settings.

High-intensity statin therapy is recommended as a first-line strategy for lowering low-density lipoprotein cholesterol (LDL-C) levels in patients with acute myocardial infarction (AMI). A combination of moderate-intensity statin and ezetimibe at an equivalent dose to high-intensity statin may achieve similar LDL-C reduction with fewer side effects. This study evaluates the long-term efficacy and safety of this approach, initiated following AMI, compared with high-intensity statin monotherapy.

The ROSUZET-AMI trial is a multicentre, prospective, open-label, randomised, non-inferiority trial. Patients with AMI who underwent percutaneous coronary intervention were randomised 1:1 to receive either moderate-intensity statin with ezetimibe (rosuvastatin 5 mg with ezetimibe 10 mg) or high-intensity statin monotherapy (rosuvastatin 20 mg). The primary endpoint is the composite of cardiovascular death, major coronary events (non-fatal myocardial infarction, documented unstable angina requiring hospitalisation and all coronary revascularisation events occurring at least 30 days after randomisation), or non-fatal stroke.

Ethics approval for this study was obtained from the Institutional Review Board of Seoul St. Mary’s Hospital (No. 2020-0424-0003). Informed consent is obtained from every participant before randomisation. The results of this study will be submitted for publication in international peer-reviewed journals, and the key findings will be presented at international scientific conferences.

NCT04499859.

Adolescents in informal urban communities, defined as settlements that fall outside of formal governmental planning and regulatory frameworks, are at increasing risk of poor-quality diets and malnutrition in all its forms. The food environment is the interface of adolescent food choice and the broader food system, and food environment interventions have the potential to improve adolescent diets and nutritional outcomes.

We will conduct a mixed-methods study, integrating methods from participatory systems science and nutritional epidemiology to characterise linkages among adolescents’ neighbourhood and home food environments, and their food choices, diets and nutritional outcomes. We will recruit adolescents, caregivers, school staff and food system actors from five communities along a gradient of urban informality in Nairobi, Kenya, to participate in cognitive mapping, group-based modelling and a cohort study over one academic year to evaluate dietary choices and nutritional outcomes.

The study has been approved by the Research Ethics Committee of Rutgers University (Pro2024001981) and Amref Health Africa (P1831-2025). Adult participants will provide written informed consent, and adolescents will provide written informed assent to participate in the study. Findings will be disseminated through peer-reviewed journals, conference presentations and to participants through planned participatory interaction throughout the study.

To examine the longitudinal impact of time-varying factors on US youth’s trajectories of initiation and use of e-cigarettes and cigarettes during the transition from adolescence to young adulthood.

Longitudinal.

Nationally representative US survey, the Population Assessment of Tobacco and Health (PATH) Study.

2682 US youth (aged 16–17) at wave (W)1 of the PATH Study across six waves (2013–2020) into young adulthood (aged 22–23).

Unweighted longitudinal latent class analyses identified trajectory classes of e-cigarette and cigarette use, separately. Nationally representative weighted multinomial logistic regression analyses examined time-varying harm perceptions, substance use problems and tobacco product first tried as predictors of these trajectory classes.

Five e-cigarette classes (2013–2020; 41.5% Persistent Never Use, 12.6% W5 Initiation, 19.9% W3 Initiation, 15.2% Prior Initiation, 10.8% High Frequency Past 30-Day (P30D) Use) and five cigarette classes (2013–2019; 58.6% Persistent Never Use, 11.5% W4 Initiation, 10.9% W2 Initiation, 9.6% Prior Initiation, 9.5% High Frequency P30D Use) were identified. Time-varying harm perceptions and substance use problems were associated with trajectories of initiation and use for both products. Cigarettes, cigarillos, other combustibles and any smokeless tobacco as first product tried were associated with e-cigarette initiation and/or progression to high frequency use. E-cigarettes and hookah as first product tried were associated with later cigarette initiation. High Frequency P30D Cigarette Use was less likely if the first product tried was e-cigarettes, cigarillos, hookah or any smokeless tobacco product.

Results reinforce the need for identification and intervention of early substance use among younger adolescents and targeted public health messaging to address changing harm perceptions and prevent initiation among older adolescents.