The Mediating Role of Psychological Balance on the Effects of Dietary Behavior on Cognitive Impairment in Chinese Elderly.

BACKGROUND: Cognitive impairment, a significant problem in older adults, may be associated with diet. This study aims to examine the association between the dietary diversity score (DDS), dietary pattern (DP), and cognitive impairment in elderly Chinese. This research further explored the role of psychological balance (PB) as a mediator in the relationship between diet and cognitive impairment. METHODS: A total of 14,318 older adults from the Chinese Longitudinal Healthy Longevity Study (CLHLS) in 2018 were included. Latent class analysis (LCA) was used to identify patterns in seven food varieties. Binary logistic regression models were used to determine factors associated with the DDS, DP, and cognitive impairment. The multiple mediation effect model was evaluated using model 6 in the PROCESS version 3.5 program. RESULTS: Among the participants, 4294 (29.99%) developed cognitive impairment. Compared to people in food variety group two or lower, people with a high dietary diversity score (DDS) had lower odds of cognitive impairment. Compared to DP1, DP2 (OR = 1.24, 95%CI = 1.09 to 1.40) was associated with a higher risk of cognitive impairment, and DP4 (OR = 0.79, 95%CI = 0.69 to 0.89) was associated with a lower risk of cognitive impairment. PB mediated the relationship between DDS, DP, and cognitive impairment, with a mediating effect of 27.24% and 41.00%. CONCLUSIONS: A DP that is rich in fruits, vegetables, red meat, fish, eggs, beans, nuts, and milk was related to a lower risk of cognitive impairment. PB has an indirect impact on cognitive impairment. Our findings underscore the importance of promoting a diverse diet, which may contribute to a lower risk of cognitive impairment in older adults. The PB of the elderly should also be taken into consideration.

A quasi-experimental study of the volume-based procurement (VBP) effect on antiviral medications of hepatitis B virus in China.

Background: The Pilot Plan of National Centralized Volume-Based Procurement (NCVBP) was adopted to cope with the rapid increase in drug expenditures. This research aimed to quantitatively evaluate the impact of the NCVBP on antiviral medications for the hepatitis B virus. Methods: Data on nucleoside analogs (NAs) medications of hepatitis B virus monthly procurement records in the pilot cities from January 2018 to December 2019 were extracted from the China Drug Supply Information Platform (CDSIP). The impacts of the NCVBP on purchased volumes, expenditures, and pre-defined daily dose costs were evaluated by interrupted time-series (ITS) analysis using Stata 16.0. We constructed two segments with one interruptive point (March 2019). Results: Compared to the same period between pre-and post-intervention, the purchased volume of NAs medications were increased by 92.85%, and selected medications were increased by 119.09%. Analysis of changes in the level of NAs medication followed a decrease in purchased expenditure (coefficient: 5364.88, p < 0.001), meanwhile, the purchased volume was increased with statistical significance (coefficient:605.49, p < 0.001). The Defined Daily Dose cost (DDDc) of NAs medication followed a decrease (coefficient: 8.90, p < 0.001). The NCVBP reform was followed by an increase of 618.41 ten thousand Defined Daily Dose (DDD) (p < 0.001) in purchased volume and a reduction of 5273.84 ten thousand Chinese Yuan (CNY) (p < 0.001) in the purchased expenditure of selected medications in the level. The DDDc of selected medications decreased in the level (coefficient: 9.87, p < 0.001), while the DDDc of alternative medications increased in the slope (coefficient:0.07, p = 0.030). The purchased volume and expenditure of bid-winning products increased by 964.08 ten thousand DDD and 637.36 ten thousand CNY in the level (p < 0.001). An increase of 633.46 ten thousand DDD (p < 0.001) in purchased volume and a reduction of 4285.32 ten thousand CNY (p < 0.001) in the purchased expenditure of generic drugs in the level was observed. Conclusion: The NCVBP reduced the DDDc of NAs medication, improved the utilization of the selected medications, and promoted the usage of generic products.

Dual-functional Network Regulation Underlies the Central Executive System in Working Memory.

The frontoparietal network (FPN) and cingulo-opercular network (CON) may exert top-down regulation corresponding to the central executive system (CES) in working memory (WM); however, contributions and regulatory mechanisms remain unclear. We examined network interaction mechanisms underpinning the CES by depicting CON- and FPN-mediated whole-brain information flow in WM. We used datasets from participants performing verbal and spatial working memory tasks, divided into encoding, maintenance, and probe stages. We used general linear models to obtain task-activated CON and FPN nodes to define regions of interest (ROI); an online meta-analysis defined alternative ROIs for validation. We calculated whole-brain functional connectivity (FC) maps seeded by CON and FPN nodes at each stage using beta sequence analysis. We used Granger causality analysis to obtain the connectivity maps and assess task-level information flow patterns. For verbal working memory, the CON functionally connected positively and negatively to task-dependent and task-independent networks, respectively, at all stages. FPN FC patterns were similar only in the encoding and maintenance stages. The CON elicited stronger task-level outputs. Main effects were: stable CON â†’ FPN, CON â†’ DMN, CON â†’ visual areas, FPN â†’ visual areas, and phonological areas â†’ FPN. The CON and FPN both up-regulated task-dependent and down-regulated task-independent networks during encoding and probing. Task-level output was slightly stronger for the CON. CON â†’ FPN, CON â†’ DMN, visual areas â†’ CON, and visual areas â†’ FPN showed consistent effects. The CON and FPN might together underlie the CES's neural basis and achieve top-down regulation through information interaction with other large-scale functional networks, and the CON may be a higher-level regulatory core in WM.

Exploring the Lifelong Changes of Interaction between Cingulo-Opercular Network and Other Cognitive Control Related Functional Networks Based on Multiple Connectivity Indices.

BACKGROUND: The cingulo-opercular network (CON) has been proposed to play a central role in cognitive control. The lifetime change mechanism of its integrity and interaction with other cognitive control-related functional networks (CCRNs) is closely associated with developing cognitive control behaviors but needs further elucidation. METHODS: The resting-state functional magnetic resonance imaging data were recorded from 207 subjects, who were divided into three age groups: age 4-20, 21-59, and 60-85 years old. For each group, multiple indices (cross-correlation, total independence, and Granger causality) within CON and between CON and other cognitive control-related functional networks (dorsal attention network, DAN; central executive network, CEN; default mode network, DMN) were calculated and correlated with age to yield maps that delineated the changing pattern of CON-related interaction. RESULTS: We found three main results. (1) The connectivity indices within the CON and between CON and the other three CCRNs showed significant enhancement from childhood to early adulthood (age 4-20 years), (2) mild attenuation within CON from early adulthood to middle age (age 21-59 years), and (3) significant attenuation within CON and between CON and DMN in the elder group (age 60-85 years). CONCLUSIONS: The results indicated the prominently increased integrity of within-CON and CON-CCRNs communication, mildly weakened within-CON communication, and significantly attenuated within-CON and CON-DMN communication, characterizing distinct changing patterns of CON-interaction at three different stages that covered a life-long span.

The impact of key monitoring policy on the usage of policy-related drugs in Hubei Province, China.

Introduction: This study evaluated quantitatively the impact of the first batch of the catalog of Key Monitoring and Rational Use Drugs (KMRUD) in Hubei Province on policy-related drug use and expenditures. Methods: This study is aimed to provide a basis for the successful implementation of subsequent catalogs of KMRUD, which may promote the standardization of clinical application of related drugs and effectively reduce drug expenses of the patients. Data on the procurement records of policy-related drugs from January 2018 to June 2021 were obtained from the Drug Centralized Procurement Platform of the Public Resources Trading Center in Hubei Province. Interrupted time-series (ITS) analysis was used in this study. Results: After the implementation of the first batch of the catalog of KMRUD, the consumption of policy-related drugs decreased by 83.29% in 2020. The spending on policy-related drugs decreased by 83.93% in 2020. The introduction of the first batch of the catalog of KMRUD was associated with a significant decrease in the spending on policy-related drugs in the level (p = 0.001). Before the implementation of the KMRUD catalog policy, the Defined Daily Doses (DDDs) (ß1 = -32.26 p < 0.001) and spending (ß1 = -3662.19 p < 0.001) on policy-related drugs showed a downward trend. In the aggregated ITS analysis, the Defined Daily Dose cost (DDDc) of policy-related drugs decreased significantly in the trend (p < 0.001). After the implementation of the KMRUD catalog policy, the monthly procurement volume of 10 policy-related drugs have a significant downward trend (p < 0.05), and 4 policy-related drugs have a significant upward trend (p < 0.05). Conclusion: After the policy intervention, the total DDDc on policy-related drugs indicated sustained reductions. The KMRUD policy overall achieved the goal of limiting policy-related drug use and controlling cost increases. And it is recommended that the health department quantify the usage indicator of adjuvant drugs, uniform standards, and apply prescription reviews and dynamic supervision, and other measures to strengthen supervision.

Unbalanced amygdala communication in major depressive disorder.

BACKGROUND: Previous studies suggested an association between functional alteration of the amygdala and typical major depressive disorder (MDD) symptoms. Examining whether and how the interaction between the amygdala and regions/functional networks is altered in patients with MDD is important for understanding its neural basis. METHODS: Resting-state functional magnetic resonance imaging data were recorded from 67 patients with MDD and 74 age- and sex-matched healthy controls (HCs). A framework for large-scale network analysis based on seed mappings of amygdala sub-regions, using a multi-connectivity-indicator strategy (cross-correlation, total interdependencies (TI), Granger causality (GC), and machine learning), was employed. Multiple indicators were compared between the two groups. The altered indicators were ranked in a supporting-vector machine-based procedure and associated with the Hamilton Rating Scale for Depression scores. RESULTS: The amygdala connectivity with the default mode network and ventral attention network regions was enhanced and that with the somatomotor network, dorsal frontoparietal network, and putamen regions in patients with MDD was reduced. The machine learning analysis highlighted altered indicators that were most conducive to the classification between the two groups. LIMITATIONS: Most patients with MDD received different pharmacological treatments. It is difficult to illustrate the medication state's effect on the alteration model because of its complex situation. CONCLUSION: The results indicate an unbalanced interaction model between the amygdala and functional networks and regions essential for various emotional and cognitive functions. The model can help explain potential aberrancy in the neural mechanisms that underlie the functional impairments observed across various domains in patients with MDD.

Fusion of pain avoidance and the contingent negative variation induced by punitive condition predict suicide ideation in a college population.

This study examined behavioral and ERP features involved in pain processing as predictors of suicide ideation. Twenty-seven depressed undergraduates with high suicide ideation (HSI), 23 depressed undergraduates with low suicide ideation (LSI), and 32 healthy controls (HCs) completed the clinical Scales. The amplitudes of LPP, P2, P3, CNV, FRN, power in the beta, theta, and delta bands in the SAID task were multimodal EEG features. A machine learning algorithm known as support vector machine was used to select optimal feature sets for predicting pain avoidance, depression, and suicide ideation. The accuracy of suicide ideation classification was significantly higher for multimodal features (78.16%) which pain avoidance ranked the first and the CNV ranked the fifth than a single ERP feature model (66.62%). Pain avoidance emerged as the most optimal feature of suicide ideation classification than depression. And the CNV elicited by punitive cues may be a biomarker in suicide ideation. Pain avoidance and its related EEG components may improve the efficacy of suicide ideation classification as compared to depression.

Pain avoidance and functional connectivity between insula and amygdala identifies suicidal attempters in patients with major depressive disorder using machine learning.

Pain avoidance can effectively classify suicide attempters from non-attempters among patients with major depressive disorder (MDD). However, the neural circuits underlying pain processing in suicide attempters have not been described comprehensively. In Study 1, we recruited MDD patients with a history of suicide attempts (MDD-SA), and those without (MDD-NSA) to examine the patterns of psychological pain using the latent profile analysis. Further, in Study 2, participants including the MDD-SA, MDD-NSA, and healthy controls underwent resting-state functional magnetic resonance imaging. We used machine learning that included features of gray matter volume (GMV), the functional connectivity (FC) brain patterns of the region of interest, and behavioral data to identify suicide attempters. The results identified three latent classes of psychological pain in MDD patients: the low pain class (18.9%), the painful feeling class (37.2%), and the pain avoidance class (43.9%). Furthermore, the proportion of suicide attempters with high pain avoidance was the highest. The accuracy of multimodality classifiers (63%-92%) was significantly higher than that of brain-only classifiers (56%-85%) and behavior-only classifiers (64%-73%). Pain avoidance ranked first in the optimal feature set of the suicide attempt classification model. The crucial brain imaging features were FC between the left amygdala and right insula, right orbitofrontal and left thalamus, left anterior cingulate cortex and left insula, right orbitofrontal, amygdala, and the GMV of right thalamus. Additionally, the optimal feature set, including pain avoidance and crucial brain patterns of psychological pain neural circuits, was provided for the identification of suicide attempters.

Trends and Comparisons of Blood Pressure and Fasting Plasma Glucose in Patients with Hypertension, Diabetes, and Comorbidity: 4-Year Follow-Up Data.

Background: Patients with both diabetes and hypertension could face more health risks than those with either condition alone, and less attention has been paid to their management outcomes, so this study may be the first to specifically address this problem. We aimed to examine the management outcomes of blood pressure (BP) in hypertensive patients with/without diabetes and fasting plasma glucose (FPG) in diabetic patients with/without hypertension. Methods: Follow-up data were obtained from the National Basic Public Health Service Project in Sanming (2017-2021). A total of 25,795 adults with hypertension only, 4111 adults with diabetes only, and 5729 comorbid adults (namely, hypertensive patients with diabetes) were included. Generalized estimating equations were applied. Results: Systolic blood pressure (SBP) and diastolic blood pressure (DBP) in patients with hypertension only both dropped significantly (Coef. = -0.00088, P < 0.001; Coef. = -0.00081, P < 0.001). DBP in comorbid patients decreased considerably (Coef. = -0.00033, P < 0.001). Pulse pressure in comorbid patients grew rapidly (Coef. = 0.00044, P < 0.001). BP control rate in patients with hypertension only increased significantly (OR = 1.00039, P < 0.001). FPG control rates in diabetic patients with/without hypertension grew markedly (OR = 1.00013, P < 0.001; OR = 1.00020, P < 0.001). Comorbid patients had lower baseline SBP and DBP but higher latest SBP than patients with hypertension only (Coef. = -1.18872, P < 0.001; Coef. = -1.16049, P < 0.001; Coef. = 1.0634, P < 0.001). Comorbid patients had lower baseline BP and FPG control rates than those with either condition alone, and differences were greater at the latest follow-up (OR = 0.28086, P < 0.001; OR = 0.91012, P = 0.049; OR = 0.04020, P < 0.001; OR = 0.69465, P < 0.001). Conclusion: BP and FPG management outcomes have achieved progress. Comorbid patients have poorer performance than patients with either disease alone in BP levels especially the SBP level and control rates of SBP, DBP, and FPG. Future studies should be conducted using national data and include more confounding factors.

Relationship between physical activity, screen-related sedentary behaviors and anxiety among adolescents in less developed areas of China.

This study aimed to explore the association between physical activity, screen-related sedentary behaviors, and anxiety. The current study used latent profile analysis (LPA) to identify homogenous subtypes of anxiety among adolescents in less-developed areas of China. Data were aggregated from 6 schools in the less-developed areas of China in September 2018. In total, 900 students were evaluated using the 100-item Mental Health Test (MHT) and Youth Risk Behavior Surveillance System (YRBSS) questionnaire. The LPA was conducted to explore the potential classification of anxiety, which makes full use of all the sample data and explore heterogeneous classifications within groups. Logistic regression was used for the multifactor analysis. A P value <.05 was considered statistically significant. The entropy value suggested that the model with 3 latent profile was the best choice. There were 223 adolescents in the severe anxiety group, accounting for 24.78%. Logistics regression analysis of anxiety revealed that the risk of severe anxiety in boys was lower (odds ratio [OR] = 0.317, P < .001) than in girls. Students had a significantly lower probability of suffering from severe anxiety in using cellphones or computers ≤ 2 hours/day than those used cellphones or computers＞2 hours/day (OR = 0.391, P = .004). Decreasing screen-related sedentary behaviors should be a target of community and school-based interventions, because high screen-related sedentary behaviors were associated with higher odds of anxiety among adolescents in less developed area of China.

The impacts of the "4+7" pilot policy on the volume, expenditures, and daily cost of Serotonin-Specific Reuptake Inhibitors (SSRIs) antidepressants: A quasi-experimental study.

Objectives: The purpose of this study was to quantitatively evaluate the impacts of the"4 + 7" pilot policy on purchase volume, purchase expenditures, and daily cost and to find the changes in the use of SSRIs. Methods: Data was collected covering 31 months, before, during, and after the "4 + 7" pilot policy was implemented in Shenzhen. Interrupted time-series (ITS) analysis was used to examine whether there had been a significant effect with the onset of the "4 + 7" pilot policy in March 2019. Findings: The daily cost of policy-related drugs had a substantial drop of 2.93 yuan under the "4 + 7" pilot policy. The result has shown a 76.70% increase in volume and a 3.39% decrease in the expenditure on policy-related drugs. This study found that the "4 + 7" pilot policy increased the proportion of purchasing winning drugs, with an increment of 85.60 percent. After the implementation of the "4 + 7" pilot policy, policy-related drugs decreased by 443.55thousand Chinese yuan. The study indicated that volume of winning products significantly increased as shown in the regression with a level coefficient (ß 2 ) of -224.17 (p < 0.001) and trend coefficient (ß 3 ) of 15.74 (p < 0.001). The result revealed that both volume and expenditures on branded products showed a significant decrease in the regression in the post-intervention period (level coefficient of volume: ß 2 = -57.65, p < 0.01, trend coefficient of volume: ß 3 = -3.44, p < 0.01; level coefficient of expenditure: ß 2 = -712.98, p < 0.01, trend coefficient of expenditure: ß 3 = -40.10, p < 0.01). Conclusion: The volume-based procurement has successfully led to price reductions and improved the affordability of medicines, especially for those with chronic diseases. The volume-based procurement has demonstrated initial success in reshaping the composition of the Chinese pharmaceutical market in favor of generics with high quality and low prices.

Impact of '4+7' volume-based drug procurement on the use of policy-related original and generic drugs: a natural experimental study in China.

OBJECTIVE: To evaluate the impact of the first round of the National Centralized Drug Procurement pilot (so-called '4+7' policy) on the use of policy-related original and generic drugs. METHODS: A retrospective natural experimental design was adopted. Drug procurement data from the China Drug Supply Information Platform database were used, involving 9 '4+7' pilot cities in intervention group and 12 non-pilot provinces in control group. '4+7' policy-related drugs were selected as study samples, including 25 drugs in the '4+7' procurement list and their alternative drugs that have not yet been covered by the policy. '4+7' List drugs were divided into bid-winning and non-winning products according to the bidding results. Included drugs were sorted into original and generic products. Difference-in-difference method was employed to estimate the net effect of policy impact. RESULTS: After policy intervention, the DDDs (defined daily doses) of '4+7' List original drugs significantly reduced (ß=-39.10, p<0.001), while generic drugs increased (ß=40.43, p<0.01). 17.08% of the original drugs in DDDs were substituted by generic drugs. Prominent reduction was observed in the monthly expenditure of '4+7' List drugs (¥726.40 million) and overall policy-related drugs (¥654.47 million). The defined daily drug cost (DDDc) of bid-winning original and generic drugs, as well as non-winning original drugs, decreased by 44.44%, 79.00% and 15.10% (all p<0.01), while the DDDc of non-winning generic drugs increased by 64.81% (p<0.001). The use proportion of higher-quality drugs raised prominently from 39.66% to 91.93%. CONCLUSIONS: '4+7' policy is conducive to generic substitution, drug price reduction and pharmaceutical cost-containment in China. The overall quality level of drug use of the Chinese population increased after policy intervention, especially in primary healthcare settings. However, the increased DDDc of non-winning generic drugs and alternative drugs should draw the importance of further policy monitoring.

Antibiotic Use in China's Public Healthcare Institutions During the COVID-19 Pandemic: An Analysis of Nationwide Procurement Data, 2018-2020.

Background: The overuse of antibiotics is a serious public health problem and a major challenge in China, and China lacks up-to-date evidence on the nationwide antibiotic use in different healthcare settings. The changes of China's antibiotic use under the COVID-19 pandemic are still unknown. Objective: This study aimed to investigate the use of antibiotics in China's public medical institutions based on a three-year nationwide surveillance and to examine the impact of the COVID-19 pandemic on China's antibiotic consumption. Methods: This study used nationwide drug procurement data from the China Drug Supply Information Platform (CDSIP). We retrospectively analyzed antibiotic procurement data of 9,176 hospitals and 39,029 primary healthcare centers (PHCs) from 31 provinces in mainland China from January 2018 to December 2020. Antibiotic utilization was measured by defined daily doses (DDDs) and DDD per 1,000 inhabitants per day (DID). Generalized linear regression models were established to quantify the impact of the COVID-19 pandemic on antibiotic use. Results: The total antibiotic consumption among all healthcare settings increased from 12.94 DID in 2018 to 14.45 DID in 2019, and then dropped to 10.51 DID in 2020. More than half of antibiotics were consumed in PHCs, especially in central regions (59%-68%). The use of penicillins (J01C) and cephalosporins (J01D) accounted for 32.02% and 28.86% of total antibiotic consumption in 2020. During 2018-2020, parenteral antibiotics accounted for 31%-36% of total antibiotic consumption; the proportion is more prominent in central and western regions and the setting of hospitals. Access category antibiotics comprised 40%-42% of the total utilization. Affected by COVID-19, the antibiotic consumption was significantly dropped both in hospitals (ß = -.11, p < .001) and PHCs (ß = -.17, p < .001), as well as in total (ß = -.14, p < .001). Significant increments were observed in the proportion of total antibiotics (ß = .02, p = .024) consumed in hospitals (against the consumption in all healthcare settings), as well as parenteral antibiotics (ß = 1.73, p = .001). Conclusion: The consistent preferred use of penicillin and cephalosporin, as well as injections, among China's public healthcare institutions should draw concern. China's antibiotic consumption significantly declined during the COVID-19 pandemic, which brings opportunities for antibiotic use management in China.

The impact of National Centralised Drug Procurement policy on the use of policy-related original and generic drugs in China.

AIMS: To evaluate the effects of the first round of National Centralised Drug Procurement pilot (so-called '4+7' policy) on the use of policy-related original and generic drugs. METHODS: This study used drug purchasing order data from the Centralised Drug Procurement Survey in Shenzhen 2019, covering 24 months from January 2018 to December 2019. '4+7' policy-related drugs were selected as study samples, including 25 drugs in the '4+7' procurement list and 69 alternative drugs that have an alternative relationship with '4+7' List drugs in clinical use. '4+7' List drugs were then divided into bid-winning and bid-non-winning products according to the bidding results. Included drugs were sorted into original and generic drugs. Purchase volume, expenditures, and daily costs were selected as outcome variables, and were measured using Defined Daily Doses (DDDs), Chinese Yuan (CNY), and Defined Daily Drug cost (DDDc). A single-group Interrupted Time Series analysis was adopted to quantify policy effect. RESULTS: After policy intervention, the overall policy-related original drugs significantly decreased by 0.39 CNY (95% CI: -0.62 to -0.17, p < 0.01) in DDDc, 5949.36 thousand DDDs (95% CI: -8276.67 to -3622.05, p < 0.001) in volume, and 31,575.08 thousand CNY (95% CI: -41,812.68 to -21,337.49, p < 0.001) in expenditures. The volume proportion of generic drugs increased from 78.6% to 91.0%, and the expenditure proportion of increased from 30.9% to 49.8%. CONCLUSION: '4+7' policy promoted the substitution use of domestic generics against original branded drugs and played positive effects on drug price cut and medication burden reduction. The proportion of original branded drugs and generics that passed generic consistency evaluation significantly increased after policy intervention, indicating the improvement of the overall quality level of drug use in China.

The Effects of the National Centralized Drug Purchasing Pilot Program on Nucleos(t)ide Analogs in Shenzhen City: An Interrupted Time Series Analysis.

Objectives: To assess the effects of the National Centralized Drug Purchasing Pilot Program on nucleos(t)ide analogs (NAs) in Shenzhen city. Methods: Drugs procurement records in medical institutions were analyzed covering the period from January 2018 to December 2019. An interrupted time series (ITS) analysis was used to evaluate the impact of the "4+7" pilot policy on NAs in Shenzhen city. The outcome measures were usage volume, expenditures, daily cost, and distribution structure of NAs. Findings: After the introduction of the "4+7" pilot policy, the defined daily doses (DDDs) of NA drugs increased by 76.48%, the expenditures and defined daily dose cost (DDDc) of NAs decreased by 45.43 and 69.08%, respectively. The proportion of winning products in Entecavir and Tenofovir Fumarate DDDs was increased by 64.21 and 19.20%, respectively. The post-intervention period witnessed a significant increase in the regression level for NAs DDDs (level coefficient: ß2 = 631.87, p < 0.05). The expenditures (trend coefficient: ß3 = 392.24, p < 0.05) and DDDc (level coefficient: ß2 = -6.17, p < 0.001; trend coefficient: ß3 = -0.21, p < 0.05) of NAs showed decreasing trend in the post-intervention period. The expenditures of original products and generic products both showed a decreasing trend in the post-intervention period (trend coefficient: ß3 = -372.78, p < 0.05, trend coefficient: ß3 = -130.78, p < 0.05, respectively). The DDDc of original products in the policy-related varieties was a significant decrease in the regression slope and level (level coefficient: ß2 = -2.18, p < 0.05; trend coefficient: ß3 = -0.32, p < 0.01). Conclusion: After the implementation of the"4+7" policy, the DDDc of NAs decreased, the accessibility of policy-related drugs was improved, and the usage of generic medicine was promoted.

Disrupted communication of the temporoparietal junction in patients with major depressive disorder.

Patients with major depressive disorder (MDD) suffer impairment in the transmission and integration of internal and external information sources. Accumulating evidence suggests that the temporoparietal junction (TPJ) is important for multiple cognitive and social functions and may act as a key node for the integration of internal and external information. Therefore, the TPJ's aberrant interaction mechanism may underpin MDD psychopathology. To answer this question, we conducted a comprehensive study using resting-state functional magnetic imaging data recorded from 74 patients with MDD and 69 normal controls. First, we examined whether TPJ was the most prominent region with altered functional/effective connectivity with multiple depression-related regions/networks, based on either zero-lag correlations or temporal mutual information (total interdependence and Granger causality) measurements. Accordingly, we derived a network model that depicts alterations of TPJ-connectivity in patients with MDD. Lastly, we performed a cross-approach comparison demonstrating more conducive indicators in delineating the network alteration model. Functional/effective connectivity between the TPJ and major functional networks that govern internal and external-driven information resources was attenuated in patients with MDD. TPJ acts like a key node for information-inflow and integration of multiple information streams. Therefore, dysfunctional connectivity indicators may serve as effective biomarkers for MDD. MDD is associated with the breakdown of the TPJ interaction model and its connections with the default mode network and the task-positive network.

Working Hours, Job Burnout, and Subjective Well-Being of Hospital Administrators: An Empirical Study Based on China's Tertiary Public Hospitals.

(1) Purpose: To analyze the role of job burnout in connection with working hours and subjective well-being (SWB) among hospital administrators in China's tertiary public hospitals. (2) Methods: A multi-stage, stratified, cluster random sampling method was used to select 443 hospital administrators in six tertiary public hospitals for study. The data were collected and analyzed using the working hours measuring scale, Maslach burnout, and the subjective well-being schedule. Pearson correlation, structural equation model, and bootstrap tests were conducted to examine the association between job burnout, working hours, and SWB. (3) Results: Among the 443 respondents, 330 worked more than 8 h per day on average (76.2%), 81 had the longest continuous working time more than 16 h (18.7%), and 362 worked overtime on weekends (82.2%). The prevalence of job burnout in hospital administrators was 62.8%, among which, 59.8% have mild burnout and 3.00% have severe burnout. In the dimension of emotional exhaustion, depersonalization, and reduced personal achievement, the proportion of people in high burnout was 21.0% (91/433), 15.0% (65/433), and 45.3% (196/433), respectively. Job burnout has a mediating effect between working hours and SWB, which accounted for 95.5% of the total effect. (4) Conclusion: Plagued by long working hours and severe job burnout, the hospital administrators in China's tertiary public hospitals may have low SWB. Working hours have a negative direct impact on job burnout and SWB, and an indirect impact on SWB through job burnout as a mediator. Targeted strategies should be taken to adjust working hours to promote the physical and mental health of hospital administrators.

Exploring communication between the thalamus and cognitive control-related functional networks in the cerebral cortex.

It has been suggested by multiple studies (postmortem studies, invasive animal studies, and diffusion tensor imaging in the human brain) that the thalamus is important for communication among cortical regions. Many functional magnetic resonance imaging (fMRI) studies, including noninvasive and whole-brain studies, have reported thalamic co-activation with several cognitive control-related cortical systems. This forms a complex network that may be important for advanced cognitive control-related processes, such as working memory and attention. Nevertheless, how the thalamus communicates with the cognitive control-related network in the intact human brain is an essential question and needs further investigation. To address this question, we conducted a study using dynamic functional connectivity analysis and effective connectivity analysis based on fMRI data from young, healthy adult participants. The results showed that the middle thalamus exhibited both high in- and out-degree regarding the complex network related to cognitive control during both rest and task conditions. Furthermore, intrinsic communication via the middle thalamic regions showed dynamically co-varying patterns, and the thalamic regions showed high flexibility in dynamic community analysis. These results indicated that the mid-thalamic region is an important station for communication between nodes in cognitive control-related networks.

The functional hierarchy of the task-positive networks indicates a core control system of top-down regulation in visual attention.

The cingulo-opercular network (CON), dorsal attention network (DAN), and ventral attention network (VAN) are prominently activated during attention tasks. The function of these task-positive networks and their interplay mechanisms in attention is one of the central issues in understanding how the human brain manipulates attention to better adapt to the external environment. This study aimed to clarify the CON, DAN, and VAN's functional hierarchy by assessing causal interactions. Functional magnetic resonance imaging (fMRI) data from human participants performing a visual-spatial attention task and correlating Granger causal influences with behavioral performance revealed that CON exerts behavior-enhancing influences upon DAN and VAN, indicating a higher level of CON in top-down attention control. By contrast, the VAN exerts a behavior-degrading influence on CON, indicating external disruption of the CON's control set.

Exploring Brain Dynamic Functional Connectivity Using Improved Principal Components Analysis Based on Template Matching.

Principle components analysis (PCA) can be used to detect repeating co-variant patterns of resting-state dynamic functional connectivity (DFC) of brain networks, accompanied with sliding-window technique. However, the robustness of PCA-based DFC-state extraction (DFC-PCA) is poorly studied. We investigated the reliability of PCA results and improved the robustness of DFC-PCA for a limited sample size. We first established how PCA-based DFC results varied with sample size and PC order in five rounds of bootstrapping with different sample sizes. The consistency across trials increased with increasing sample size and/or decreasing PC order. We then developed a framework based on PC matching and reordering to obtain a more reliable estimation of co-variant DFC patterns. With either the identical template generated by the surrogate dataset itself or with the external template obtained from existing results, the perceptual hash algorithm was used to reorder PCs according to their patterns. After order correction, reliable results were obtained by averaging across trials within each surrogate dataset. This newly developed framework allowed simultaneous measurement and improvement of DFC-PCA. This consistency could also be used as a criterion for PC selection and interpretation to support the reliability and validity of the conclusion.