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BACKGROUND: High blood pressure (HBP) and diabetes mellitus (DM) are two of the most prevalent cardiometabolic disorders globally, especially among individuals with lower socio-economic status (SES). Studies have linked residential greenness to decreased risks of HBP and DM. However, there has been limited evidence on whether SES may modify the associations of residential greenness with HBP and DM. METHODS: Based on a national representative cross-sectional study among 44,876 adults, we generated the normalized difference vegetation index (NDVI) at 1 km spatial resolution to characterize individuals' residential greenness level. Administrative classification (urban/rural), nighttime light index (NLI), individual income, and educational levels were used to characterize regional urbanicity and individual SES levels. RESULTS: We observed weaker inverse associations of NDVI with HBP and DM in rural regions compared to urban regions. For instance, along with per interquartile range (IQR, 0.26) increment in residential NDVI at 0∼5 year moving averages, the ORs of HBP were 1.04 (95%CI: 0.94, 1.15) in rural regions and 0.85 (95%CI: 0.79, 0.93) in urban regions (P = 0.003). Along with the decrease in NLI levels, there were continuously decreasing inverse associations of NDVI with DM prevalence (P for interaction <0.001). In addition, weaker inverse associations of residential NDVI with HBP and DM prevalence were found among individuals with lower income and lower education levels compared to their counterparts. CONCLUSIONS: Lower regional urbanicity and individual SES could attenuate the associations of residential greenness with odds of HBP and DM prevalence.

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Many countries are raising the pension age to mitigate the challenges of population aging, but such a solution may ignore the disparities in health and working conditions across populations. Using large-scale longitudinal data from China, this study provides estimates of healthy working life expectancy (HWLE), defined as the average number of years expected to be spent healthy and in work from age 50 years, and highlights substantial inequities in HWLE by gender, socioeconomic status and geographical region. The HWLE from age 50 years was, on average, 6.87 (95% confidence interval: 6.70 to 7.04) years in China. Hypertension was the leading chronic condition for people working unhealthily (5.67 years for men and 4.85 years for women), and arthritis contributed the largest differences in unhealthy working years across people by occupation (agricultural laborer versus enterprise employee, 3.28 years). Moreover, adopting healthy lifestyles was associated with gains in HWLE (2.13 years for men and 1.61 years for women). Our findings suggest that increasing the pension age through a 'one-size-fits-all' approach may not effectively meet the goal of extending working lives. Inclusive initiatives aimed at targeted populations to promote health or work conditions and to facilitate the pension system will be essential to improve HWLE by reducing inequities.

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Background: Prevention and control of non-communicable diseases (NCDs) become a policy priority in Universal Health Coverage (UHC) in China, while NCD management has never been comprehensively estimated at national and subnational levels. We aimed to assess NCD management in China nationally and in key subpopulations, investigate inequalities from multidimensions, and further examine its association with health financing and resources. Methods: Data included were from China Chronic Disease and Risk Factors Surveillance (CCDRFS) and China Health and Nutrition Survey (CHNS). Following the WHO recommended frameworks, we selected eight NCD health service and risk management indicators and used meta-analysis to construct the composite NCD index. We explored the trends in and projections of NCD management index and indicators at national and subnational levels by using Bayesian regression models with average annual percentage change (AAPC) from 2004 to 2018 and probability of reaching the UHC target by 2030. We further conducted comprehensive inequality analyses of NCD indicators from multidimensions with patterns of changes over time using absolute difference and relative ratio. Finally, we quantified the associations between NCD management performance with health financing and resources using stochastic frontier analysis. Findings: In China, the NCD management index increased slowly from 62.0% (95% CI 36.0 to 84.0) in 2004 to 64.3% (95% CI 44.0 to 82.2) in 2018, with lagging performance being observed in prevention domain (AAPC -0.1%, 95% CrI -1.0 to 0.8). And all management indicators presented low probabilities of accomplishing 2030 targets in China. Notably, based on subnational analysis, diverse tendency and magnitude of inequalities in multiple NCD indicators were identified with widening gaps between genders (non-overweight, diabetes treatment), age groups (non-use of tobacco), urban-rural areas (non-use of alcohol, non-use of tobacco), regions (sufficient physical activity), and wealth quintiles (non-overweight, sufficient physical activity). Additionally, it was observed that compared with urban area, rural area had constantly lower health resources and presented 2.2% lower NCD management performance in 2018. Importantly, we found that health financing and resources especially distributed in primary health care (PHC) facilities were closely and positively associated with NCD management performance. A 1000 yuan increase of government health expenditure (GHE) per capita and a 10 increase of medical beds per 1000 capita in PHC facilities were associated with a 4.0% (95% CI 2.0 to 6.0) and 6.8% (95% CI 0.2 to 13.5) increase of NCD management index, respectively. Interpretation: The progress towards NCD management is slow at national level and in key subpopulations in China, with great challenges of existing and widening inequalities between genders, age groups, urban-rural areas, regions and socioeconomic groups. Rural and old people were still vulnerable populations who were lagging behind in NCD prevention and control. Optimising resource allocation by strengthening PHC especially in rural area, developing tailor-made programmes targeting specific populations such as old individuals, simultaneously integrating gender, education, and economic interventions to reduce inequalities should be prioritised to help China tackle NCDs during the progress towards UHC. Funding: National Natural Science Foundation of China.

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OBJECTIVE: An electroencephalogram (EEG)-based brain-computer interface (BCI) enables direct communication between the human brain and a computer. Due to individual differences and non-stationarity of EEG signals, such BCIs usually require a subject-specific calibration session before each use, which is time-consuming and user-unfriendly. Transfer learning (TL) has been proposed to shorten or eliminate this calibration, but existing TL approaches mainly consider offline settings, where all unlabeled EEG trials from the new user are available. METHODS: This article proposes Test-Time Information Maximization Ensemble (T-TIME) to accommodate the most challenging online TL scenario, where unlabeled EEG data from the new user arrive in a stream, and immediate classification is performed. T-TIME initializes multiple classifiers from the aligned source data. When an unlabeled test EEG trial arrives, T-TIME first predicts its labels using ensemble learning, and then updates each classifier by conditional entropy minimization and adaptive marginal distribution regularization. Our code is publicized. RESULTS: Extensive experiments on three public motor imagery based BCI datasets demonstrated that T-TIME outperformed about 20 classical and state-of-the-art TL approaches. SIGNIFICANCE: To our knowledge, this is the first work on test time adaptation for calibration-free EEG-based BCIs, making plug-and-play BCIs possible.

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BACKGROUND: Leisure time physical activity (LTPA) is known to be associated with a lower risk for mental health burden, while whether the underlying mechanisms vary across populations is unknown. We aimed to explore the disparate associations between LTPA and mental health based on large-scale data. METHODS: In this study, we analyzed data including 711,759 individuals aged 15 years or above from the latest four rounds (2003, 2008, 2013, and 2018) of the National Health Service Survey (NHSS) in China. We used multiple logistic regression models adjusted for potential confounders to investigate associations between LTPA and mental health in the total population and subgroups by measuring a diverse set of activity frequencies, intensities, and types. To examine the dose-response associations between total activity volume and mental health, we conducted restricted cubic splines to investigate possible nonlinearity. RESULTS: LTPA was associated with remarkably lower self-reported mental health burden (OR 0.56, 95% CI 0.54-0.58). The dose-response relationship between total activity volume and mental health was highly nonlinear (p < 0.001), presenting L-shaped with first 1200 metabolic equivalents of task (METs)-min/week for significant risk reduction (OR 0.58, 95% CI 0.56-0.60). Notably, merely exercising 3-5 times per week with moderate swimming was significantly associated with lower mental health burden among younger people, while the association was strongly large in older adults aged 60 years or above doing 55-min moderate apparatus exercise at least six times a week. CONCLUSIONS: In a large Chinese sample, LTPA was meaningfully and disparately associated with mental health burden across different people. Policy targeted at prompting activity may be effective for reducing mental health burden, but importantly, tailored strategies are needed based on population contexts.

Physical activity that is undertaken as a leisure activity is known to be beneficial for mental health. It is unclear whether the reasons for this vary across different populations. We studied more than 700,000 people living across China. We found that the frequency, duration, type, and intensity of physical leisure activity and their association with a person's mental health vary depending on gender, age, lifestyle and presence of chronic disease conditions. The best mental health was found in those who did not exercise a lot or very little. Notably, exercising 3­5 times per week by swimming at a moderate pace was significantly associated with lower mental health burden among younger people, whilst for those aged over 60 it was most beneficial to do 55-min moderate apparatus exercise at least six times a week. Our study highlights that prompting activity may be effective for reducing mental health burden and that guidance should be specific for particular age groups.

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During the coronavirus disease 2019 (COVID-19) emergency, many hospitals were built or renovated around the world to meet the challenges posed by the rising number of infected cases. Environmental management in the hospital life cycle is vital in preventing nosocomial infection and includes many infection control procedures. In certain urgent situations, a hospital must be completed quickly, and work process approval and supervision must therefore be accelerated. Thus, many works cannot be checked in detail. This results in a lack of work liability control and increases the difficulty of ensuring the fulfillment of key infection prevention measures. This study investigates how blockchain technology can transform the work quality inspection workflow to assist in nosocomial infection control under a fast delivery requirement. A blockchain-based life-cycle environmental management framework is proposed to track the fulfillment of crucial infection control measures in the design, construction, and operation stages of hospitals. The proposed framework allows for work quality checking after the work is completed, when some work cannot be checked on time. Illustrative use cases are selected to demonstrate the capabilities of the developed solution. This study provides new insights into applying blockchain technology to address the challenge of environmental management brought by rapid delivery requirements.

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BACKGROUND: Achieving universal health coverage (UHC) is one crucial target of the Sustainable Development Goals. However, consistent trends data for UHC evaluation in China are still scarce. The aim of our study was to provide a comprehensive assessment of UHC in China. METHODS: In this serial cross-sectional study, we collected nationally representative data from the latest four rounds (2003, 2008, 2013, and 2018) of the National Health Service Surveys, with the aim of evaluating UHC in China. These surveys used multistage stratified cluster sampling covering all 31 provinces, autonomous regions, and municipalities in mainland China. Within each household, all members aged 15 years and older were interviewed. For children and adolescents aged younger than 15 years, their adult family members answered the questions for them. We constructed a UHC index following the WHO-recommended framework that included service coverage (nine prevention indicators and five treatment indicators) and financial protection (three indicators) dimensions. Bayesian regression models were done to investigate the trends in and projections of UHC index and indicators, with average annual percentage change (AAPC) and probabilities of achieving the 2030 WHO targets. Based on trends and projections, we counted population equivalents with UHC coverage. To examine the potential efficiency of financial investment, we quantified UHC performance based on government health expenditure (GHE) per capita. Finally, we explored the association between each UHC indicator and macroeconomic and health systems characteristics by using multiple regression. FINDINGS: We sampled 57 023 households from 95 counties between September and October, 2003; 56 456 households from 94 counties between June and July, 2008; 93 613 households from 156 counties between August and October, 2013; and 94 076 households from 156 counties in September, 2018. A total of 901 182 individuals were involved in this study (193 689 in 2003, 177 501 in 2008, 273 688 in 2013, and 256 304 in 2018). Although the overall UHC increased from 44·0% (95% CI 43·0-44·9) in 2003 to 79·8% (79·2-80·3) in 2018 and is predicted to meet the 80% global target by 2030, the progress towards UHC has steadily slowed down nationally. Based on current projections, an estimated 105·8 (95% CI 27·3-189·1) million population equivalents would still not have UHC coverage in 2030. The treatment index showed a large increase over time from 2003 to 2018 (AAPC 4·9%, 2·9-7·2), with minimal disparities and all subgroups will achieve the target in the treatment domain by 2030 (possibilities higher than 90%). However, the prevention index presented poor performance with a small increase over time from 2003 to 2018 (AAPC 1·4%, 0·3-2·5) and sizable disparities across regions, urban-rural areas, and income (all p<0·0001). To achieve at least 80% UHC coverage, provinces would need to reach at least ¥445 in GHE per capita per year under maximum efficiency. However, large gaps between the observed and frontier UHC index, especially in several western provinces, indicated inefficiency. Furthermore, we found that primary health-care institutions were closely and positively related to UHC indicators especially in the prevention domain. INTERPRETATION: Although considerable achievements have been made, the progress towards UHC is not keeping pace with the rapid society development in China. Considering an increased burden in non-communicable diseases and an ageing population, prioritising the efficacy of financial investment and optimising resource allocation by strengthening primary health care are necessary to achieve UHC in China. FUNDING: National Natural Science Foundation of China and National Health Commission of the People's Republic of China.

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BACKGROUND: Despite the growing evidence on the relationship between community environment and depressive symptoms, little is known about the longitudinal relationship in older adults. This study aimed to examine the longitudinal association between community environment and depressive symptoms based on a nationally representative survey among Chinese middle-aged and older adults. METHODS: A total of 6 872 participants from the latest four waves (2011, 2013, 2015, and 2018) of the China Health and Retirement Longitudinal Study were included. The Center for Epidemiologic Studies Depression Scale was used to measure depressive symptoms, and Cox proportional hazards regression models were conducted to investigate the longitudinal association between community environment and depressive symptoms after adjusting included covariates. RESULTS: Both community infrastructure and organizations were significantly associated with depression, and infrastructure was associated with higher risk reduction in depression (hazard ratio [HR], 0.77; 95% confidence interval [CI], 0.66-0.89). Furthermore, we estimated the heterogeneous effects of community infrastructure and organizations for vulnerable populations. Additionally, family-based elder-care center (HR, 0.63; 95% CI, 0.46-0.86) and outdoor exercise facilities (HR, 0.76; 95% CI, 0.68-0.84) were found as significant correlates associated with lower depressive symptom risk. CONCLUSIONS: Our findings indicated that targeted and specific measures should be taken to improve the construction of community infrastructure and strengthen the role of community organizations. Specifically, providing a family-based elder-care center and establishing outdoor exercise facilities might be effective methods to reduce the risk of depression and relieve related public health burdens among Chinese middle-aged and older adults.

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An electroencephalogram (EEG)-based brain-computer interface (BCI) speller allows a user to input text to a computer by thought. It is particularly useful to severely disabled individuals, e.g. amyotrophic lateral sclerosis patients, who have no other effective means of communication with another person or a computer. Most studies so far focused on making EEG-based BCI spellers faster and more reliable; however, few have considered their security. This study, for the first time, shows that P300 and steady-state visual evoked potential BCI spellers are very vulnerable, i.e. they can be severely attacked by adversarial perturbations, which are too tiny to be noticed when added to EEG signals, but can mislead the spellers to spell anything the attacker wants. The consequence could range from merely user frustration to severe misdiagnosis in clinical applications. We hope our research can attract more attention to the security of EEG-based BCI spellers, and more broadly, EEG-based BCIs, which has received little attention before.

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Evidence of the effects of long-term household air pollution (HAP) on human mental health is limited. This study aimed to explore the longitudinal relationship between long-term household air pollution exposure from solid fuel use and depression based on nationally representative follow-up dataset. A total of 7005 middle- and old-age adults from the latest four waves (2011, 2013, 2015, and 2018) of China Health and Retirement Longitudinal Study (CHARLS) were involved. The Center for Epidemiologic Studies Depression scale (CES-D 10) was used to measure depressive symptoms and individuals who got more than 12 points were considered to have depression symptoms. We conducted Cox proportional hazards regression models to examine the association between household air pollution and depression in overall population, and subgroup stratified by socio-demographic factors, lifestyle behaviors, chronic diseases, and residential environments. We found long-term household air pollution exposure from solid fuel use was significantly associated with higher depression risk among Chinese older adults (HR 1.27, 95% CI 1.14-1.42 in heating; 1.26, 1.13-1.40 in cooking). Longer duration of household air pollution exposure (1.47, 1.28-1.68 in heating; 1.36, 1.19-1.56 in cooking) and household air pollution from crop residue/wood burning (1.66, 1.41-1.94 in heating; 1.37, 1.23-1.53 in cooking) was correlated with higher depression risk. For subgroups analysis, the effect of household air pollution from solid fuel on depression varied. Compared with those who using clean fuel, older adults living in small size houses or houses with small number rooms had increasing depression risks if they used solid fuel for heating or cooking. Our findings indicate long-term household air pollution exposure from solid fuel use is associated with higher depression risk. Reducing household air pollution by restricting solid fuel use can be effective ways to prevent depression for Chinese older adults and decrease related public health burden.

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Highway operations are marred with inherent risks of injury or death, making risk management critical for ensuring the adequate safety of the people involved. This paper investigates the interaction between various highway safety risk factors and effective risk mitigation strategies related to such interaction. The Covariate-Balanced Determinant Detector (CBDD) technique is used to estimate the quantity of both individual and combined risks, and their effect on highway operations safety. Through this technique, the most dangerous risk combinations have been identified and corresponding risk mitigation scenarios have been developed. The results illustrate that the most dangerous scenarios probably result from the interactive effect of risk factors rather than individual factors, and the effect of mitigation strategies should be evaluated in response to a risk scenario before it is implemented.

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