Search results

This study aims to determine the resilience level and its influence on anxiety among Chinese lumbar disc herniation (LDH) patients, and to determine the critical psychological and non-psychological predictors of resilience among LDH patients. Twenty hundred and fifty LDH patients from a tertiary hospital in Jinzhou, China were included in this survey to answer the Resilience Scale-14 (RS-14), Zung Self-Rating Anxiety Scale (SAS), Herth Hope Index (HHI), Revised Life Orientation Test (LOT-R), Multidimensional Scale of Perceived Social Support (MSPSS), Perceived Stress Scale-10 (PSS-10). The mean resilience level of LDH patients was 61.96 ± 12.37. Resilience was negatively correlated with anxiety (χ(2) = 32.603, p < 0.001), accompanied by a significant linear trend (χ(2) = 28.567, p < 0.001). Hope, stress, social support, and medical payment type accounted for 48.7% resilience variance. This study reveals that Chinese LDH patients had low resilience level, and that lower level of resilience was closely associated with higher anxiety level. The predictors for resilience among LDH patients include hope, stress, social support, as well as medical payment types. These findings provide local government and related health-care professionals with a basis for development of targeted mental health management of Chinese LDH patients, and will also help to devise appropriate health intervention strategies for promoting the mental health status of LDH patients.

China is challenged with the simultaneous goals of improving air quality and mitigating climate change. The "Beautiful China" strategy, launched by the Chinese government in 2020, requires that all cities in China attain 35 μg/m(3) or below for annual mean concentration of PM(2.5) (particulate matter with aerodynamic diameter less than 2.5 μm) by 2035. Meanwhile, China adopts a portfolio of low-carbon policies to meet its Nationally Determined Contribution (NDC) pledged in the Paris Agreement. Previous studies demonstrated the cobenefits to air pollution reduction from implementing low-carbon energy policies. Pathways for China to achieve dual targets of both air quality and CO(2) mitigation, however, have not been comprehensively explored. Here, we couple an integrated assessment model and an air quality model to evaluate air quality in China through 2035 under the NDC scenario and an alternative scenario (Co-Benefit Energy [CBE]) with enhanced low-carbon policies. Results indicate that some Chinese cities cannot meet the PM(2.5) target under the NDC scenario by 2035, even with the strictest end-of-pipe controls. Achieving the air quality target would require further reduction in emissions of multiple air pollutants by 6 to 32%, driving additional 22% reduction in CO(2) emissions relative to the NDC scenario. Results show that the incremental health benefit from improved air quality of CBE exceeds 8 times the additional costs of CO(2) mitigation, attributed particularly to the cost-effective reduction in household PM(2.5) exposure. The additional low-carbon energy polices required for China's air quality targets would lay an important foundation for its deep decarbonization aligned with the 2 °C global temperature target.