Correlation between uncertainty stress and depression among healthcare professionals in China: a nationwide cross-sectional survey.

OBJECTIVE: This study investigated the correlation between uncertainty stress (US) and depression among healthcare professionals (HCPs) in China. DESIGN, SETTINGS AND PARTICIPANTS: A cross-sectional online survey was conducted by recruiting HCPs from three provinces in China (central, eastern and western) through purposive sampling between 29 September 2022 and 18 January 2023. US was measured using the Life Stress Questionnaire and depression was measured using the Patient Health Questionnaire-9. In total, 2976 questionnaires were deemed valid. PRIMARY AND SECONDARY OUTCOME: This study examined the prevalence of US and depression among HCPs in China; the correlating sociodemographic traits; and the correlation between US and depression. RESULTS: The prevalence of US and depression among HCPs in China was 26.54% (790 out of 2976) and 71.63% (2132 out of 2976). Binary logistic analysis revealed that individuals with graduate degrees (OR: 1.83; 95% CI 1.07 to 3.11; p<0.05), central China (OR: 1.75; 95% CI 1.36 to 2.24; p<0.01), primary medical institutes (OR: 1.33; 95% CI 1.03 to 1.72; p<0.05), secondary medical institutes (OR: 1.30; 95% CI 1.01 to 1.68; p<0.05), an annual income of less than ¥50 000 (OR: 1.85; 95% CI 1.26 to 2.73; p<0.01) and an income range of ¥50 000-¥99 999 (OR: 1.49; 95% CI 1.10 to 2.03; p<0.05) were associated with a higher likelihood of US. The adjusted logistic regression model demonstrated that HCPs with higher US had a greater likelihood of depression (adjusted OR: 5.02; 95% CI 3.88 to 6.50; p<0.01). The increase in the US score was paralleled by an increased depression score (beta (B): 1.32; 95% CI 1.25 to 1.39; p<0.01). CONCLUSION: These findings reveal a significant correlation between US and depression among HCPs and suggest that improving the management of US may help reduce the prevalence of depression among HCPs.

Association between chinese visceral adiposity index and risk of kidney stones in a health screening population: an ultrasonography based cross-sectional study.

BACKGROUND: Obesity is an important risk factor for kidney stones(KS). Chinese Visceral Adiposity Index (CVAI), as a specific indicator for visceral obesity in the Chinese population, can more accurately assess the visceral fat content in Chinese individuals compared to Visceral Adiposity Index (VAI). However, the association between CVAI and risk for KS has not been studied. METHODS: A total of 97,645 participants from a health screening cohort underwent ultrasound examinations for the diagnosis of kidney stones, along with measurements of their CVAI. Logistic regressions were utilized to determine the relationship between different quartiles of CVAI and the incidence of kidney stones. Simultaneously, subgroup analysis and the computation of dose-response curves were employed to pinpoint susceptible populations. RESULTS: Among the participants, 2,888 individuals (3.0%) were diagnosed with kidney stones. The mean CVAI values ± standard deviation for the four groups were: Q1 (18.42 ± 19.64), Q2 (65.24 ± 10.39), Q3 (98.20 ± 9.11), and Q4 (140.40 ± 21.73). In the fully adjusted multivariable model, CVAI was positively correlated with urolithiasis (OR = 1.001; 95% CI = 1.000, 1.002). Compared with the first quartile of CVAI, the population in the fourth quartile of CVAI had a higher prevalence of kidney stones (OR = 1.231; 95% CI = 1.066, 1.415). Through subgroup analysis, a positive correlation between CVAI and the risk of kidney stones was found in non-smokers (OR = 1.001, 95%CI:1.000, 1.002), non-drinkers (OR = 1.001, 95%CI:1.000, 1.002), non-hypertensive subgroups (OR = 1.003, 95%CI:1.002, 1.003), and non-diabetes subgroups (OR = 1.001, 95%CI:1.000, 1.002). CONCLUSION: The findings suggest that CVAI could be a reliable and effective biomarker for assessing the potential risk of kidney stone prevalence, with significant implications for the primary prevention of kidney stones and public health.

NeuroDM: Decoding and visualizing human brain activity with EEG-guided diffusion model.

BACKGROUND AND OBJECTIVE: Brain-Computer Interface (BCI) technology has recently been advancing rapidly, bringing significant hope for improving human health and quality of life. Decoding and visualizing visually evoked electroencephalography (EEG) signals into corresponding images plays a crucial role in the practical application of BCI technology. The recent emergence of diffusion models provides a good modeling basis for this work. However, the existing diffusion models still have great challenges in generating high-quality images from EEG, due to the low signal-to-noise ratio and strong randomness of EEG signals. The purpose of this study is to address the above-mentioned challenges by proposing a framework named NeuroDM that can decode human brain responses to visual stimuli from EEG-recorded brain activity. METHODS: In NeuroDM, an EEG-Visual-Transformer (EV-Transformer) is used to extract the visual-related features with high classification accuracy from EEG signals, then an EEG-Guided Diffusion Model (EG-DM) is employed to synthesize high-quality images from the EEG visual-related features. RESULTS: We conducted experiments on two EEG datasets (one is a forty-class dataset, and the other is a four-class dataset). In the task of EEG decoding, we achieved average accuracies of 99.80% and 92.07% on two datasets, respectively. In the task of EEG visualization, the Inception Score of the images generated by NeuroDM reached 15.04 and 8.67, respectively. All the above results outperform existing methods. CONCLUSIONS: The experimental results on two EEG datasets demonstrate the effectiveness of the NeuroDM framework, achieving state-of-the-art performance in terms of classification accuracy and image quality. Furthermore, our NeuroDM exhibits strong generalization capabilities and the ability to generate diverse images.

Kidney stones are associated with metabolic syndrome in a health screening population: a cross-sectional study.

Background: In parallel with the rise in obesity and metabolic syndrome (MetS), kidney stones are becoming more common. In this study, the relationship between MetS components and kidney stones in a health screening population was examined. Methods: Subjects who underwent health checkups in the Health Promotion Centre of Sir Run Run Shaw Hospital of Zhejiang University between January 2017 and December 2019 were recruited for this study. In this cross-sectional study, 74,326 participants were aged 18 or older. MetS diagnostic criteria were based on the joint statement of the International Diabetes Federation (IDF) and other associations on MetS in 2009. The association between MetS and its components with kidney stones was examined using multivariable logistic regression. Results: A total of 74,326 participants took part in this cross-sectional study, including 41,703 men (56.1%) and 32,623 women (43.9%). There were 24,815 (33.4%) patients with MetS and 2,032 (2.7%) patients with kidney stones. The prevalence of kidney stones was 3.3% in subjects with MetS and 2.4% in subjects without MetS (P<0.001). The odds ratio and 95% confidence interval (CI) for kidney stones in MetS patients were 1.157 (95% CI: 1.051-1.273). Accordingly, the prevalence of kidney stones showed a statistically significant trend of gradual increase as the number of MetS components increased (P<0.001). Among the components of MetS, elevated waist circumference, reduced high-density lipoprotein cholesterol (HDL-C), and elevated fasting blood glucose (FBG) were independent influencing factors of kidney stones (P<0.001), with odds ratios of 1.205 (95% CI: 1.085-1.337), 1.222 (95% CI: 1.105-1.351) and 1.335 (95% CI: 1.202-1.482), respectively. Conclusions: MetS is an independent risk factor for kidney stones. Therefore, the control of MetS may help reduce the incidence of kidney stones.

Traumatic vertebra and endplate fractures promote adjacent disc degeneration: evidence from a clinical MR follow-up study.

OBJECTIVES: The integrity of endplate is important for maintaining the health of adjacent disc and trabeculae. Yet, pathological impacts of traumatic vertebra and endplate fractures were less studied using clinical approaches. This study aims to investigate their effects on the development of adjacent disc degeneration, segmental kyphosis, Modic changes (MCs), and high-intensity zones (HIZs). MATERIALS AND METHODS: Magnetic resonance (MR) images of patients with acute traumatic vertebral compression fractures (T11-L5) were studied. On MR images, endplate fractures were evaluated as present or absent. Disc signal, height, bulging area, sagittal Cobb angle, MCs, and HIZs were measured on baseline and follow-up MR images to study the changes of the disc in relation to vertebra fractures and endplate fractures. RESULTS: Ninety-seven patients were followed up for 15.4 ± 14.0 months. There were 123 fractured vertebrae, including 79 (64.2%) with endplate fractures and 44 (35.8%) without. Both the adjacent and control discs decreased in signal and height over time (p < 0.001), and the disc adjacent to vertebral fractures had greater signal and height loss than the control disc (p < 0.05). In the presence of endplate fractures, the adjacent discs had greater signal decrease in follow-up (p < 0.05), as compared to those without endplate fractures. Sagittal Cobb angle significantly increased in segments with endplate fractures (p < 0.05). Vertebra fractures were associated with new occurrence of MCs in the fractured vertebra (p < 0.001) but not HIZs in the adjacent disc. CONCLUSIONS: Traumatic vertebral fractures were associated with accelerated adjacent disc degeneration, which appears to be further promoted by concomitant endplate fractures. Endplate fractures were associated with progression of segmental kyphosis.

Primary Care Practitioners' Barriers to and Experience of COVID-19 Epidemic Control in China: a Qualitative Study.

BACKGROUND: The coronavirus disease 2019 (COVID-19) emerged in December 2019 and posed numerous challenges to China's health system. Almost 4 million primary care practitioners (PCPs) participated in controlling the outbreak. However, PCPs' barriers to and experience of the epidemic control remain unknown and are essential for improving countermeasures. OBJECTIVE: To better understand the barriers PCPs faced in COVID-19 epidemic control and their psychological and occupational impacts, and explore potential solutions. DESIGN: This qualitative study was conducted through semi-structured, in-depth interviews from February 12, to March 10, 2020. PARTICIPANTS: A purposive sample of frontline PCPs affiliated with either community health centers or township health centers in four provinces of China were recruited. APPROACH: Interviews were conducted by telephone, and then recorded, transcribed, and content analyzed. Themes surrounding PCPs' barriers to COVID-19 epidemic control, their experience, and potential solutions were iteratively identified using the constant comparative method. KEY RESULTS: Of the 21 PCPs interviewed, 10 (48%) were women and 5 (24%) worked in rural areas. Barriers to epidemic control in primary care included inappropriate PCP scheduling and role ambiguity, difficult tasks and inadequate capacities, and inexperienced community workers and insufficient cooperation. Some PCPs perceived respect and a sense of accomplishment and were preoccupied with the outbreak, while others were frustrated by fatigue and psychological distress. PCPs reported potential solutions for improving countermeasures, such as improving management, optimizing workflows, providing additional support, facilitating cooperation, and strengthening the primary care system. CONCLUSIONS: Due to their roles in controlling the COVID-19 epidemic, PCPs in China faced a series of barriers that affected them physically and mentally. Support for PCPs should help them to overcome these barriers and work efficiently. The current findings provide insight into the challenges and potential solutions for strengthening the preparedness and response of China's primary care system in future disease outbreaks.

Is it appropriate to measure age-related lumbar disc degeneration on the mid-sagittal MR image? A quantitative image study.

PURPOSE: Even though phenotypes of disc degeneration vary on different sagittal magnetic resonance images (MRI), measurements typically are acquired on the mid-sagittal MRI. This study investigated the appropriateness of using the mid-sagittal MRI to measure various phenotypes of age-related disc degeneration. METHODS: Lumbar spine MRIs of 66 subjects (mean age 50.3 years, standard deviation 16.5 years, range 22-84 years) were studied. An image analysis program Spine Explorer was used to obtain quantitative measurements for disc height, bulging, and signal on para- and mid-sagittal T2-weighted MRIs. Measurements on para- and mid-sagittal MRIs and their associations with age were compared. RESULTS: Measurements of disc height, signal, and posterior disc bulging acquired on the mid-sagittal MRI were greater than those on the para-sagittal MRIs. Disc height measurements were not linearly associated with age. Greater age was correlated with greater anterior (r = 0.45, P < 0.001) and posterior (r = 0.33, P < 0.01) bulging on para-sagittal MRIs, but not posterior disc bulging on the mid-sagittal MRI (r = - 0.10, P > 0.05). Disc signal intensity measurements on the mid-sagittal MRI had stronger correlations with age than those on para-sagittal MRIs. Mean and standard deviation of disc signal intensity acquired on the mid-sagittal MRI had the strongest correlations with age among all measures of disc degeneration studied (r = - 0.50, - 0.67, respectively, P < 0.001 for both). CONCLUSIONS: Disc signal measurements acquired on the mid-sagittal MRI were reliable and had strong correlations with age and thus can be used as an appropriate measure of disc degeneration. Disc bulging had better be measured on para-sagittal MRIs. Although severe disc narrowing clearly is a sign of severe disc degeneration, disc height was not linearly associated with age.

Lumbar disc degeneration was not related to spine and hip bone mineral densities in Chinese: facet joint osteoarthritis may confound the association.

A sample of 512 Chinese was studied and we observed that greater disc degeneration on MRI was associated with greater spine DXA BMD. Yet, this association may be confounded by facet joint osteoarthritis. BMD may not be a risk factor for lumbar disc degeneration in Chinese. PURPOSE: Evidence suggested that lumbar vertebral bone and intervertebral disc interact with each other in multiple ways. The current paper aims to determine the association between bone mineral density (BMD) and lumbar disc degeneration using a sample of Chinese. METHODS: We studied 165 patients with back disorders and 347 general subjects from China. All subjects had lumbar spine magnetic resonance (MR) imaging and dual- energy X-ray absorptiometry (DXA) spine BMD studies, and a subset of general subjects had additional hip BMD measurements. On T2-weighted MR images, Pfirrmann score was used to evaluate the degree of lumbar disc degeneration and facet joint osteoarthritis was assessed as none, slight-moderate, and severe. Regression analyses were used to examine the associations between lumbar and hip BMD and disc degeneration, adjusting for age, gender, body mass index (BMI), lumbar region, and facet joint osteoarthritis. RESULTS: Greater facet joint osteoarthritis was associated with greater spine BMD (P < 0.01) in both patients and general subjects. For general subjects, greater spine BMD was associated with severe disc degeneration, controlling for age, gender, BMI, and lumbar region. When facet joint osteoarthritis entered the regression model, however, greater spine BMD was associated with greater facet joint osteoarthritis (P < 0.01) but not greater disc degeneration (P > 0.05). No statistical association was observed between spine BMD and lumbar disc degeneration in patients with back disorders (P > 0.05), and between hip BMD and disc degeneration in general subjects (P > 0.05). CONCLUSION: BMD may not be a risk factor for lumbar disc degeneration in Chinese. Facet joint osteoarthritis inflates DXA spine BMD measurements and therefore, may confound the association between spine BMD and disc degeneration.

Coexistence of intervertebral disc herniation with intradural schwannoma in a lumbar segment: a case report.

BACKGROUND: Lumbar intervertebral disc herniation and spinal tumor are major pathologies that may cause back pain and radiculopathy. Neurological symptoms resulting from disc herniation and intradural spinal tumor together, however, are very rare. CASE PRESENTATION: We report a case of lumbar disc herniation which coexists with intradural schwannoma at the same spinal level in a 67-year-old man. The patient presented with persistent low back pain, sciatica, and weakness of the lower limbs. Contrast lumbar spine magnetic resonance (MR) imaging clearly delineated an intradural lesion and an extradural herniated disc at L3/4 level. Using a single posterior approach, both pathologies were addressed. Pathological studies confirmed the intradural lesion was schwannoma. CONCLUSION: The case report highlights a rare concomitance of two symptomatic pathologies in a lumbar spine, which deserves clinical attention. Complete history, careful physical examination, and investigative measures, such as contrast MR imaging, are helpful to establish throughout diagnoses.