BACKGROUND: Only prospective cohort studies can capture changes in work conditions and their effects on health. Such studies are rare in bus drivers, despite their high rates of injuries and diseases. The three existing cohorts have limited exposure data, collected at baseline and thus uninformative on exposure and exposure-effect dynamics. Therefore, we aimed to develop the Swiss Transport Personnel Health Cohort (TRAPHEAC) and to anticipate and prevent potential bias. METHODS: To set up the study protocol, we first organized the stakeholder consultation and available data inventory. Second, we mapped the exposure-outcomes pairs to list the most prevalent occupational hazards, and conducted exposure measurement campaigns. Third, we built the Swiss Bus-Exposure Matrix for physical-chemical hazards and Bus-Ergonomics Matrix for visual and biomechanical constrains. These matrices contain 705 bus models operated in Switzerland since 1980 and enable assessing current and past exposure when merged with bus drivers' work histories. RESULTS: We opted for an original study design combining prospective cohort part starting at 2024 and a retrospective part with nested case-control studies. Bus drivers will be invited through three complementary channels: unions, companies, and social media. The eligibility screening, information, and consent form signature and registration will be conducted using the study web-site modules. Registered bus drivers will first receive a comprehensive inclusion questionnaire, then a yearly follow-up questionnaire to assess and update the drivers' work histories. Validated self-reported questionnaires will be used for assessing additional health outcomes (e.g., stress, sleep problems, musculoskeletal disorders, burnout) and individual, occupational and live-style related factors (e.g., personality, ICT use, physical activity). Hospital records (with diagnosed diseases, diagnosis dates and treatments) centralized since 2000 by the Swiss Federal Statics Office will be used for assessing disease prevalence, incidence and case-control status. Advanced statistical analysis will be conducted to address etiological and methodological questions (e.g., individual and joint causal effects of multiple exposures and exposure components; time-varying exposure and outcome variables and confounders mixtures). CONCLUSIONS The yearly assessment of both exposure and health outcomes should enable capturing changes in work conditions and their effects on bus drivers' health and well-being over time and facilitate the tailoring, implementation and evaluation of preventive interventions.
Humans ; Switzerland/epidemiology* ; Prospective Studies ; Occupational Exposure/statistics & numerical data* ; Occupational Diseases/epidemiology* ; Cohort Studies ; Motor Vehicles ; Research Design ; Retrospective Studies ; Case-Control Studies ; Occupational Health ; Adult ; Male ; Female

BACKGROUND: Previous studies have shown that old age and cold temperatures are risk factors for bathing-related accidents (BRAs) in Japan. The differences between outdoor and indoor temperatures are believed to depend on the housing type (detached houses or apartment buildings). This study aimed to investigate the associations between age, temperature, and BRAs according to housing type in Japan. METHODS: We included cases in which patients were transported by ambulance from domestic bathrooms between April 2016 and March 2022 in Nagoya city. Age-specific BRA incidence rates measured by 5-year age groups, temperature-specific age-adjusted standardized incidence rates (SIRs) for BRA calculated by temperature quintile groups, and the BRA risk regarding temperature based on a time-stratified case-crossover (CCO) design were compared between detached houses and apartment buildings. RESULTS: We observed 4,848 ambulance dispatches owing to BRAs (3,083 in detached houses and 1,765 in apartment buildings; SIR for detached houses compared to apartment buildings: 1.37; 95% confidence interval [CI]: 1.33-1.43). The ratio of detached houses to apartment buildings in the age-specific BRA incidence was almost the same in middle-aged people, but it significantly increased from the age of 70 years onward (incidence rate ratio for the 70-74-years age group: 1.74; 95% CI: 1.43-2.11). Temperature-specific SIR for detached houses compared to apartment buildings was not significantly different in the hottest temperature quintile but increased significantly in the other colder temperature quintiles (SIR in coldest quintile: 1.56; 95% CI: 1.47-1.66). BRA risk based on CCO design increased significantly with a decrease in temperature in detached houses (risk ratio [RR] for 3 °C: 1.25; 95% CI: 1.05-1.47), but not in apartment buildings (RR for 3 °C: 1.07; 95% CI: 0.86-1.34). CONCLUSIONS Detached houses had higher BRA incidence rates than apartments. Older age and lower temperatures, which are risk factors for BRAs, were more prevalent in detached houses than in apartment buildings. Thus, public health measures that focus on detached houses are necessary for preventing BRAs in Japan.
Humans ; Japan/epidemiology* ; Aged ; Middle Aged ; Housing/statistics & numerical data* ; Baths/adverse effects* ; Ambulances/statistics & numerical data* ; Male ; Adult ; Female ; Temperature ; Incidence ; Aged, 80 and over ; Young Adult ; Age Factors ; Adolescent ; Child, Preschool ; Infant ; Child ; Risk Factors ; Infant, Newborn ; Accidents, Home/statistics & numerical data*

BACKGROUND: Difficulty awakening is a common concern among adolescents and contributes to school absenteeism. Although cross-sectional studies suggest that commuting times, internet usage, and sleep disturbances are associated with school attendance problems, few have specifically focused on adolescents. We aimed to examine the factors contributing to school absenteeism due to difficulty awakening in Japanese high school students. METHODS: In this longitudinal cohort study, data were prospectively collected between 2016 and 2018 from 54 high schools in a prefecture of Western Japan. Tenth-grade students (n = 6,121) without tardiness (n = 5,812) or absences (n = 5,946) at baseline were recruited. The outcome of interest was school absenteeism due to difficulty awakening, which included both tardiness and absences (≥2 days/month). Cox proportional hazards models were used to assess the associations between commuting time and lifestyle factors after adjusting for confounders. RESULTS: The incidence rates of tardiness and absences due to difficulty awakening were 19.3 and 9.6 per 1,000 person-years, respectively. Common risk factors for absenteeism included prolonged internet usage (≥5 h) and dissatisfaction with school. Protective factors for school tardiness included study time and participation in extracurricular sports activities (both ≥2 h). Long commuting time (≥1 h) was associated with a higher risk of school absences. CONCLUSIONS Long commuting times, prolonged internet usage, and poor school satisfaction increased the risk of school absenteeism due to difficulty awakening. Promoting academic engagement and extracurricular activities may help reduce absenteeism. Interventions that increase school satisfaction, such as providing learning opportunities outside of school, supporting extracurricular activities, and improving the school environment, may be effective prevention strategies.
Humans ; Absenteeism ; Japan/epidemiology* ; Adolescent ; Male ; Female ; Prospective Studies ; Schools/statistics & numerical data* ; Students/psychology* ; Longitudinal Studies ; Risk Factors ; Transportation/statistics & numerical data* ; East Asian People

BACKGROUND: Technological innovations in the public transport sector are increasingly leveraged to support the goals of environmental sustainability and public health. Eco-driving assistance (EDA) systems represent one such intervention, aimed at reducing fuel consumption, emissions, and operating costs while improving passenger comfort. However, the potential unintended impacts of EDA technologies on driver health and well-being remain understudied. The EDA Trial, part of the EU-funded INTERCAMBIO project, seeks to evaluate whether the use of EDA systems may introduce new psychosocial stressors for professional drivers, with implications for occupational and public health. METHODS: The EDA tested in this trial is called "NAVIG". Buses will be assigned randomly. Operating EDA-equipped vehicle will be considered as intervention condition, operating vehicle without EDA as control. Each participant will be monitored for 10 working days maximum to accumulate at least 5 intervention shifts during the trial. Heart rate variability (HRV) will be continuously recorded during working hours to assess autonomous stress responses. The root mean square of successive differences (RMSSD) will be averaged over intervention and control shifts to enable within-subject comparisons between intervention and control conditions. Subjective stress levels will be evaluated using the self-report instruments: Cohen's perceived stress scale at baseline and visual analogous scale at baseline and daily. Moreover, neuroendocrine stress biomarkers (salivary cortisol and cortisone) will be collected repeatedly across shifts, as additional outcomes. Mixed-effects models with participant's ID as a random effect variable will be used to compare stress outcomes between EDA and non-EDA driving conditions. Models will be adjusted for potential confounders. RESULTS: A sample size of 26-40 participants was estimated to provide 80% power (α = 0.05) to detect differences of 12-15% between conditions. Ethical approval was obtained from the Swissethics (CER-VD 2024-01573), and participant recruitment is ongoing, with 27 drivers enrolled as of June 2025. CONCLUSIONS: This study will provide empirical evidence on the potential health trade-offs associated with implementing eco-driving technologies in real-world settings. By assessing physiological and psychological stress responses to EDA, the trial supports a more integrated approach to environmental technology evaluation-one that considers not only energy efficiency but also the health and sustainability of the workforce. TRIAL REGISTRATION The trial was registered in the ClinicalTrials.gov database (NCT06688721).
Humans ; Automobile Driving/psychology* ; Stress, Psychological ; Motor Vehicles ; Adult ; Male ; Randomized Controlled Trials as Topic ; Female

Neuropsychiatric disorders arise from complex interactions between genetic and environmental factors. DNA methylation, a reversible and environmentally responsive epigenetic regulatory mechanism, serves as a crucial bridge linking environmental exposure, gene expression regulation, and neurobehavioral outcomes. During long-duration deep-space missions, astronauts face multiple stressors-including microgravity, cosmic radiation, circadian rhythm disruption, and social isolation, which can induce alterations in DNA methylation and increase the risk of neuropsychiatric disorders. Genome-wide DNA methylation research can be divided into 3 major methodological stages: Study design, sample preparation and detection, and data analysis, each of which can be applied to astronaut neuropsychiatric health monitoring. Systematic comparison of the Illumina MethylationEPIC array and whole-genome bisulfite sequencing reveals their complementary strengths in terms of genomic coverage, resolution, cost, and application scenarios: the array method is cost-effective and suitable for large-scale population studies and longitudinal monitoring, whereas sequencing provides higher resolution and coverage and is more suitable for constructing detailed methylation maps and characterizing individual variation. Furthermore, emerging technologies such as single-cell methylation sequencing, nanopore long-read sequencing, and machine-learning-based multi-omics integration are expected to greatly enhance the precision and interpretability of epigenetic studies. These methodological advances provide key support for establishing DNA-methylation-based monitoring systems for neuropsychiatric risk in astronauts and lay an epigenetic foundation for safeguarding neuropsychiatric health during future long-term deep-space missions.
DNA Methylation ; Humans ; Space Flight ; Mental Disorders/genetics* ; Epigenesis, Genetic ; Astronauts/psychology* ; Weightlessness/adverse effects* ; Epigenomics

As human deep space exploration enters a practical phase, ensuring astronaut health and safety has become a critical determinant of mission success. The cerebrovascular system, essential for maintaining brain function, is highly sensitive to environmental changes. Cerebrovascular diseases represent one of the characteristic adverse effects of deep space conditions such as microgravity and high-energy radiation, and have emerged as a frontier challenge in space medicine. Based on experiences from manned space missions, major research challenges persist, particularly the lack of experimental data specific to the lunar environment and the unclear threshold for low-dose radiation-induced injury. Elucidating the mechanisms and multifactorial interactions by which deep space environments impact cerebrovascular structure and function, and summarizing the key risk factors, pathological processes, and recent advances in monitoring and early-warning technologies for cerebrovascular diseases in lunar astronauts, and of crucial importance. A comprehensive understanding of the interplay between deep space environmental stressors and cerebrovascular injury, as well as the development of personalized prevention and intervention strategies, will provide both theoretical and practical foundations for safeguarding cerebrovascular health in future Chinese deep space missions, while promoting progress in related biomedical research, technological innovation, and international collaboration.
Humans ; Astronauts ; Cerebrovascular Disorders/etiology* ; Space Flight ; Weightlessness/adverse effects* ; Risk Factors ; Moon

With the continuous advancement of deep space exploration missions, maintaining astronaut skin health has become a critical medical issue affecting the safety and effectiveness of long-duration missions. Deep space environmental stressors, including microgravity, ionizing radiation, lunar dust exposure, and microbiome dysbiosis, can synergistically disrupt the skin barrier structure, leading to immune homeostasis imbalance and impaired wound healing. In recent years, research on skin protection in deep space has gradually evolved into a systematic "multi-dimensional integrated protective" framework. From the engineering protection perspective, optimization of multi-layer composite spacesuit structures, the use of hydrogen-rich and boron-containing shielding materials, as well as cabin temperature-humidity regulation and debris-resistant technologies, have greatly enhanced environmental defense capacity. From the biomedical protection perspective, functional hydrogels, antimicrobial dressings, and active compounds derived from traditional Chinese medicine have demonstrated remarkable potential in repairing the skin barrier, modulating immunity, and providing antioxidant defense. Meanwhile, the development of skin microecological interventions and wearable physiological monitoring systems has fostered a trend toward personalized health management. Future research should focus on elucidating the interactive mechanisms among the space environment, skin, and immune barrier, while exploring intelligent monitoring and nanotechnology-based protection strategies. Establishing a predictive and preventive skin health safeguarding system will provide comprehensive medical support for future deep space missions.
Humans ; Astronauts ; Skin/radiation effects* ; Space Flight ; Weightlessness/adverse effects* ; Wound Healing ; Extraterrestrial Environment

Long-term spaceflight exposes astronauts to multiple extreme environmental factors, such as cosmic radiation, microgravity, social isolation, and circadian rhythm disruption, that markedly increase the risk of depressive symptoms, posing a direct threat to mental health and mission safety. However, the underlying biological mechanisms remain complex and incompletely understood. The potential mechanisms of spaceflight-induced depressive symptoms involve multiple domains, including alterations in brain structure and function, dysregulation of neurotransmitters and neurotrophic factors, oxidative stress, neuroinflammation, neuroendocrine system imbalance, and gut microbiota disturbances. Collectively, these changes may constitute the biological foundation of depressive in astronauts during spaceflight. Space-related stressors may increase the risk of depressive symptoms through several pathways: impairing hippocampal neuroplasticity, suppressing dopaminergic and serotonergic system function, reducing neurotrophic factor expression, triggering oxidative stress and inflammatory responses, activating the hypothalamic-pituitary-adrenal axis, and disrupting gut microbiota homeostasis. Future research should integrate advanced technologies such as brain-computer interfaces to develop individualized monitoring and intervention strategies, enabling real-time detection and effective prevention of depressive symptoms to safeguard astronauts' psychological well-being and mission safety.
Space Flight ; Humans ; Astronauts/psychology* ; Depression/physiopathology* ; Gastrointestinal Microbiome ; Weightlessness/adverse effects* ; Oxidative Stress ; Brain/physiopathology* ; Hypothalamo-Hypophyseal System ; Neuronal Plasticity ; Pituitary-Adrenal System

During long-duration manned space missions, the complex and extreme space environment exerts significant impacts on astronauts' physiological, psychological, and cognitive functions, thereby posing direct risks to mission safety and operational efficiency. As a key bridge between the brain and external devices, brain-computer interface (BCI) technology enables precise acquisition and interpretation of neural signals, offering a novel paradigm for human-machine collaboration in manned spaceflight. Non-invasive BCI technology shows broad application prospects across astronaut selection, mission training, in-orbit task execution, and post-mission rehabilitation. During mission preparation, multimodal signal assessment and neurofeedback training based on BCI can effectively enhance cognitive performance and psychological resilience. During mission execution, BCI can provide real-time monitoring of physiological and psychological states and enable intention-based device control, thereby improving operational efficiency and safety. In the post-mission rehabilitation phase, non-invasive BCI combined with neuromodulation may improve emotional and cognitive functions, support motor and cognitive recovery, and contribute to long-term health management. However, the application of BCI in space still faces challenges, including insufficient signal robustness, limited system adaptability, and suboptimal data processing efficiency. Looking forward, integrating multimodal physiological sensors with deep learning algorithms to achieve accurate monitoring and individualized intervention, and combining BCI with virtual reality and robotics to develop intelligent human-machine collaboration models, will provide more efficient support for space missions.
Brain-Computer Interfaces ; Humans ; Space Flight ; Astronauts/psychology* ; Neurofeedback ; Cognition ; Electroencephalography ; Man-Machine Systems

The unique characteristics of the deep space environment, microgravity, cosmic radiation, and extreme temperature fluctuations, are emerging as major driving forces for pharmaceutical innovation. These factors provide new avenues for optimizing drug formulations, improving crystal structure quality, and accelerating the discovery of therapeutic targets. Advances in deep space research not only help overcome critical bottlenecks in terrestrial drug development but also promote progress in structure-based drug design and deepen understanding of cellular stress-response mechanisms. Current progress in space-based pharmaceutical research primarily includes the study of disease mechanisms under microgravity, protein crystallization in microgravity, and drug development utilizing deep space radiation and resources. However, the operational complexity, high costs, and limited data reproducibility of space experiments remain key challenges hindering widespread application. Looking ahead, with the integration of automation, artificial intelligence analysis, and on-orbit manufacturing, deep space drug development is expected to achieve greater scalability and precision, opening a new frontier in biopharmaceutical science.
Drug Design ; Drug Development/methods* ; Humans ; Weightlessness ; Space Flight ; Artificial Intelligence ; Extraterrestrial Environment