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Objective: The Slash (multiple-job holders) become increasingly prevalent in the labor force under the context of fast-developing gig economy and other emerging employment forms active on platforms. However, health outcomes of multiple-job holding have not received sufficient research treatment and is far from reaching consensus. This study provides an empirical investigation on the influence of multiple-job holding on individual health., Method: This study uses data from China Health and Retirement Longitudinal Study (CHARLS-2015 survey) which covers 28 provinces/municipalities in China and tracks work and health status of the population aged over 45 years using stratified random sampling (N = 12,659-16,526 for examinations of different types of health status (i.e., chronic conditions/body aches/depression, in study 1), and from the Survey of Household Economics and Decision-making (SHED-2019) which is conducted by the Federal Reserve Board of the United States and documents economic behavior and related risks of the population aged over 18 years (N = 6603 for baseline model and N = 10,718 for supplementary test, in study 2). To address the potential endogeneity of multiple-job holding, the instrumental variable (IV) regressions are conducted to ensure the validity of results. The implementation of Study 1 and 2 in different national context could help test the generalization of research results., Results: Compared with non-multiple jobs holding, multiple-job holding with only one additional job is associated with better health status (i.e., less chronic conditions and body aches, a lower level of depression shown in study 1, and better self-assessed general health shown in study 2), however, multiple-job holding with at least two additional jobs turns to be associated with worse health status (shown in both study 1 and 2). These results show that the optimal level of multiple-job holding could be featured with one additional job besides the primary job., Conclusion: Multiple-job holding, with different structures, has both bright and dark side for health outcomes. To maintain an optimal level of multiple-job holding could benefit individual health., (© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Purpose: The study aimed to estimate the health damage and find out the main exposure pathways of housewives posed by polycyclic aromatic hydrocarbons (PAHs) and heavy metals (HMs) from coal combustion in rural areas of China., Methods: We obtained the concentrations of 16 PAHs and 8 HMs from published literatures and the Monte Carlo simulation was used to process and analysis the data. Sensitivity analysis was also applied to clear parameter uncertainty and the health damage of housewives was quantitatively evaluated by loss of life expectancy., Results: Housewives' carcinogenic risks from PAHs exposure were in descending order of inhalation > ingestion > dermal contact, while exposed to HMs were ingestion > dermal contact > inhalation. The carcinogenic risks from PAHs primarily originated from benzo[a]pyrene (BaP), dibenz[ah]anthracene (DahA) and benzo[b]fluorathene (BbF). For HMs, arsenic posed the highest carcinogenic risk to housewives, with a contribution of 92.98%. In addition, the life expectancy loss of housewives exposed to PAHs was 469.04 min from inhalation and 51.82 min for HMs from ingestion., Conclusion: Through a comprehensive assessment of the health risks in housewives exposed to emissions from coal combustion, we can gain insight into the hazards from PAHs and HMs in housewives, and take measures to reduce their exposure risks., (© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Objective: Air pollutants play a crucial role in human health and disease. Emergency ambulance dispatch data have excellent potential for public and environmental health research. This study aimed at investigating the impact of short-term exposure to air pollutants on the emergency ambulance dispatches., Methods: We used data on emergency ambulance dispatches in Shanghai Municipality, China, from April 1, 2016 to December 31, 2017. The association of the daily emergency ambulance dispatches with air pollutants including PM 2.5 (particles ≤ 2.5 μm in aerodynamic diameter), PM 10 , O 3 , NO 2 and SO 2 was analyzed with the use of time-series analyses., Results: A total of 310,825 emergency ambulance dispatches for acute illness occurred in Shanghai during the study period. An increase in PM 2.5 by 10 μg/m 3 at lag1 and lag2 was shown to increase the risk of emergency ambulance dispatches (RR for lag1 = 1.05, 95% CI 1.00-1.11, RR for lag2 = 1.07, 95% CI 1.01-1.12). PM 10 , NO 2 , and SO 2 also showed significant associations with emergency ambulance dispatches in single-pollutant models. Cause-specific analyses showed an elevation in PM 2.5 by 10 μg/m 3 was associated with an increased risk of emergency ambulance dispatches related to respiratory diseases on the current day (lag0, RR 1.17, 95% CI 1.01-1.33), while the impact on emergency ambulance dispatches related to other diseases presented 1-3 days later. The other pollutants have the similar trend., Conclusions: Our findings show a strong relationship between ambient air pollutants and emergency ambulance dispatches. Our study contributes to the growing body of evidence describing the adverse health effects of ambient air pollution and will benefit ambulance services for early warning and effective ambulatory planning., (© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Objective: Coastal cities, due to their proximity to coastlines and unique climatic conditions, face growing challenges from extreme temperature events associated with climate change. Research on the impact of extreme temperatures on tuberculosis (TB) in these cities is limited, and findings from different regions lack consensus. This study focuses on Shantou, a coastal city in China, to investigate the influence of extreme temperatures on TB within this distinctive geographical context., Methods: Distributed Lag Non-Linear Models (DLNM) were employed to evaluate the effect of extreme temperatures on TB incidence risk in Shantou, a coastal city in China, spanning from 2014 to 2021. Daily TB case data were provided by the Shantou Tuberculosis Prevention and Control Institute. Daily meteorological information was sourced from the Reliable Prognosis website, while daily air pollutant data were obtained from the China Air Quality Online Monitoring and Analysis Platform., Results: The study revealed a significant association between extreme temperatures and TB incidence, with the impact peaking at a lag of 27 days after exposure. Notably, extreme cold temperatures led to a temporary decrease in TB incidence with a lag of 1-2 days. Subgroup analysis indicated that males had a notably higher risk of TB under extreme temperature conditions compared to females. Additionally, individuals aged 65 years and above showed a significant cumulative effect in such conditions., Conclusions: This research enhances our comprehension of the effects of extreme temperatures on TB in coastal cities and carries substantial public health implications for TB prevention in China., Competing Interests: Declarations Competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. Ethical responsibility of authors This study did not involve human or animal subjects, and thus, no ethical approval was required., (© 2024. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Purpose: Recovery experiences not only make it possible for individuals to restore their energy resources and return to pre-stressor levels but also contribute to the formation of their subjective well-being. This paper investigates the effect of burnout on life satisfaction among Chinese physicians who are frequently confronted with a considerable number of work-related stressors and examines the mediating role of recovery experiences in the relationship between burnout and life satisfaction., Methods: A total of 642 physicians working in five public tertiary hospitals in China responded to a self-administered questionnaire including demographic information, the Satisfaction with Life Scale, the Maslach Burnout Inventory-General Scale, and the Recovery Experience Questionnaire. Hierarchical multiple regression analysis was conducted to test the incremental variance of any given set of independent variables. Structural equation modeling was employed to test the presumed relationships between variables involved. Asymptotic and resampling strategies were used to examine the mediating effects of recovery experiences in the relationship between burnout and life satisfaction., Results: Burnout and recovery experiences were important predictors of life satisfaction and the direct effect of burnout on life satisfaction was statistically significant and negative and the path coefficients of burnout with life satisfaction were significantly decreased when recovery experiences were modeled as mediators., Conclusion: Findings of the study highlight the importance of promoting recovery experiences to reduce burnout and improve life satisfaction among physicians rather than focusing on the less easily modifiable work-related stressors.