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Abstract Background Preventive treatment of tuberculosis infection (TBI) is considered a crucial strategy to prevent and control tuberculosis (TB). However, the acceptance and completion rates of preventive therapy for TBI are still far from optimistic. Evidence is mounting that TB knowledge and stigma may have a substantial effect on acceptance of TBI treatment. This study aimed to explore the effect of stigma on the relationship between the level of TB knowledge and acceptance of TBI treatment. Methods 7017 general population were included in the study. We adjusted for the covariates at the individual. Stepwise logistic regression was used to examine the moderating role of TB stigma and also explore the association between TB knowledge and acceptance of TBI treatment. Results The acceptance rate of TBI treatment among the respondents was 84.38% (n = 5921). Among respondents, a significant positive correlation between acceptance of TBI treatment and TB knowledge (OR = 1.096,95%CI = 1.073,1.118). Additionally, the association between TB knowledge and acceptance of TBI treatment was found to be moderated by TB stigma. In other words, TB stigma was found to weaken the impact of TB knowledge on acceptance of TBI treatment (OR = 0.994,95%CI = 0.991,0.996). Conclusion The findings of the study indicated that having a high level of awareness about TB can enhance the general population’s acceptability of TBI treatment. TB stigma moderated this association; it weakened the relationship between TB knowledge and individuals’ willingness to accept TBI treatment. To mitigate TB stigma and enhance the intention of individuals with TBI to accept preventive therapy, it is imperative to enhance TB-related health education.

In the post-pandemic era, the resumption of visa-free group travel services between China and Russia has led to frequent population movements, posing a substantial risk of infectious disease transmission in the border regions of the two countries. Tuberculosis (TB) is currently the second leading cause of death from infectious diseases worldwide, and both China and Russia are high-TB-burden countries. This creates specific challenges for TB prevention and control in the border areas. There is an urgent need to deeply explore weaknesses in the TB epidemic prevention and control efforts along the China-Russia border. Strategies such as the development of intelligent border ports, enhancement of international exchange and cooperation, improvement of the public health collaborative governance capacity of both countries, optimization of health resource allocation in port areas, and strengthening the awareness of customs quarantine personnel and border residents regarding TB prevention and control, must be constructed. These strategies aim to comprehensively promote the joint construction of a human health and wellness community by China and neighboring countries.

Abstract Background Poor nurse-patient relationship poses an obstacle to care delivery, jeopardizing patient experience and patient care outcomes. Measuring nurse-patient relationship is challenging given its multi-dimensional nature and a lack of well-established scales. Purpose This study aimed to develop a multi-dimensional scale measuring nurse-patient relationship in China. Methods A preliminary scale was constructed based on the existing literature and Delphi consultations with 12 nursing experts. The face validity of the scale was tested through a survey of 45 clinical nurses. This was followed by a validation study on 620 clinical nurses. Cronbach’s α, content validity and known-group validity of the scale were assessed. The study sample was further divided into two for Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA), respectively, to assess the construct validity of the scale. Results The Nurse-Patient Relationship Scale (NPRS) containing 23 items was developed and validated, measuring five dimensions: nursing behavior, nurse understanding and respect for patient, patient misunderstanding and mistrust in nurse, communication with patient, and interaction with patient. The Cronbach’s α of the NPRS ranged from 0.725 to 0.932, indicating high internal consistency. The CFA showed excellent fitness of data into the five-factor structure: χ2/df = 2.431, GFI = 0.933, TLI = 0.923, CFI = 0.939, IFI = 0.923, RMSEA = 0.070. Good content and construct validity are demonstrated through expert consensus and psychometric tests. Conclusion The NPRS is a valid tool measuring nurse-patient relationship in China.

Background: The goal of our research was to determine the effects of plant-based dietary patterns on sleep health among older adults and to examine the parallel mediated effects of anxiety and depression. Methods: This investigation utilized data obtained from the 2018 Chinese Longitudinal Healthy Longevity Survey (CLHLS) and contained 6853 participants. Logistic regression and the restricted cubic splines (RCSs) model were employed to examine how plant-based dietary patterns affect sleep health. Additionally, Amos 26.0 was used to construct a structural equation model to examine the parallel mediated effects of anxiety and depression. Results: A higher plant-based diet index (PDI) was connected to higher odds of better sleep quality (OR = 1.209, 95% CI: 1.039–1.407) and sleep duration (OR = 1.241, 95% CI: 1.072–1.437). Conversely, an elevated unhealthy plant-based diet index (uPDI) was correlated with a lower likelihood of sleep quality (OR = 0.678, 95% CI: 0.574–0.800) and sleep duration (OR = 0.762, 95% CI: 0.647–0.896). The RCSs regression further identified a significant dose–response relationship. Mediation analysis confirmed that anxiety and depression partially mediate the relationship between plant-based diets and sleep health. Conclusions: Our study exhibited significant correlations between plant-based diets and sleep health in the elderly. Depression and anxiety were determined as parallel mediators between plant-based diets and sleep health. Controlling early dietary patterns and affective disorder could help improve sleep quality in older adults.

The recycling of key components in waste lithium-ion batteries (LIBs) is an important route to make up for the shortage of battery materials. Metal separation and purification is an important step. It is of great significance to propose an efficient and green separation technology. In this paper, an electrochemical precipitation method was applied to metal separation from spent LiNi0.5Mn1.5O4 cathode material. The Li and metal elements were effective separated and the precipitates were then used as precursor to synthesize high-performance R–O3-NaNFM cathode material for sodium-ion batteries. The R–O3-NaNFM exhibits excellent electrochemical cycling stability. The capacity retains 71.3 mAh g−1 after a long-term cycling of 200 times at 1 C. This method offers a referable strategy of the recycling for the waste cathode material in spent LIBs.

The visceral adiposity index (VAI) and handgrip strength (HGS) are identified as important objectives for the prevention of illness. Nevertheless, there is limited understanding regarding the impact of the VAI and HGS on cardiometabolic multimorbidity (CMM). We aimed to ascertain the impact of the VAI and HGS on CMM among middle-aged and older people. Data spanning from 2011 to 2020 were derived from the China Health and Retirement Longitudinal Study (CHARLS). In total, 7909 individuals aged 45 years and older were included. Cox proportional hazard regression was utilized to examine the correlation among the VAI, HGS, and CMM. Throughout the 10-year follow-up, we determined that both the VAI (HR = 1.330; 95%CI = 1.179–1.500) and HGS (HR = 0.745, 95%CI = 0.645–0.861) exhibited significant associations with CMM risk. Individuals exposed to both a high VAI and low HGS were found to have higher hazards of CMM (HR = 1.377, 95%CI = 1.120–1.694) in contrast to participants exposed to one or none of these conditions. The older (HR = 1.414; 95%CI = 1.053–1.899) and male (HR = 1.586; 95%CI = 1.114–2.256) groups are more likely to experience CMM risk. Our findings suggest that both the VAI and HGS have significant effects on CMM risk. Appropriate interventions focused on vulnerable groups are recommended to prevent the incidence of CMM.