Application of the international classification of functioning, disability, and health to disability assessment for older people in China.

Background: In the previous research, the Disability Assessment Scale based on ICF had been constructed for LTC insurance in China. To apply this scale in further studies, it is essential to establish assessment standards for disability levels. Objective: To establish standardized disability classification criteria and identify the disability statuses and levels in older people. Methods: This is a cross-sectional study, in which 1,610 older individuals in 15 long-term care institutions in China were assessed by the disability assessment scale based on ICF. Cluster analysis was used for classification of the disability levels. Mean (SD) and median (IQR) were used to describe the scores for each item and each dimension. Results: The total scores of the disability assessment scale were classified into six disability levels. The overall disability level of the 1,610 participants was moderate-to-severe. The disability in the dimension of "self-care ability and activity" was the most obvious and severe. Conclusion: The Disability Assessment Scale is capable of identifying disability statuses and levels of older people, and it can serve as a valuable tool for investigating the disabilities among old people and for conducting cross-national comparisons of disability levels.

Erratum: [Corrigendum] Hydrogen gas post­conditioning alleviates cognitive dysfunction and anxiety­like behavior in a rat model of subarachnoid hemorrhage.

[This corrects the article DOI: 10.3892/etm.2021.10555.].

The dynamic coupling and spatio-temporal differentiation of green finance and industrial green transformation: Evidence from China regions.

Promoting the development of green finance and industrial green transformation is of great significance for achieving high-quality economic development in China's regions. A deep exploration of the dynamic coupling relationships and interaction mechanisms between green finance development and industrial green transformation has important theoretical value and practical implications. Based on relevant data from 2014 to 2019 for 30 provincial regions in China, this paper selects the Eastern, Central, Western, and Northeastern regions as the subjects of study. It constructs a comprehensive evaluation index system for the levels of green finance development and industrial green transformation. Since sorting out the interactive coupling theoretical mechanisms between the two, the paper employs a coupling coordination model to explore the coupling and coordinating relationships between green finance and industrial green transformation. Furthermore, using the Theil index, Moran's index, and Markov chain algorithms, the paper conducts a comparative analysis of the spatiotemporal differences and patterns in coupling coordination degrees between green finance and industrial green transformation in the four major regions, and identifies their causes. The results show that: overall, there is regional heterogeneity between green finance and industrial green transformation, and the mean coupling coordination degree is east, west, central and northeast in order from high to low. From the perspective of dynamic distribution, the coupling coordination of the four regions is moving to a high level, and it is difficult to achieve leapfrog development. As far as the sources of differences are concerned, intra-regional differences are the main cause of the differences in the coupling and coordinated development of the four regions, but the contribution rate shows a downward trend, and the gap between the four regions is gradually narrowing. To further reduce the coupling and coordination differences between green finance and industrial green transformation and development in the four regions, the region should strengthen mutual penetration and mutual radiation, increase the innovation of green financial products, improve the efficiency of green finance allocation, and provide an important reference for the realization of high-quality development of China's industrial green transformation.

Association analysis of polymorphisms at GLRB, GRIA2, and GASK1B genes with reproductive traits in Dazu Black Goats.

Reproductive traits are essential economic traits in goats. This study aimed to analyze the relationship between single nucleotide polymorphisms (SNPs) within the genes of GLRB, GRIA2, and GASK1B, and reproductive traits (kidding traits and placental traits) in goats. We used the resequencing data of 150 Dazu Black Goats to perform correlation analysis with the average litter size. We screened thirteen SNPs loci in introns and then used the Sanger method to genotype the remaining 150 Dazu Black Goats. The results showed that a total of six SNPs were screened. Three SNPs related to litter size and live litter size (g.28985790T > G, g.28986352A > G, and g.28987976A > G); one SNP related to total cotyledon area (g.29203243G > A); two SNPs related to placental efficiency (g.30189055G > A and g.30193974C > T); one SNP associated with cotyledon support efficiency (g.30193974C > T). The qPCR results showed that GLRB, GRIA2, and GASK1B were all highly expressed in the udder, kidney, uterus, and ovary. It indicated that these three candidate genes might affect the reproductive traits, which could be used as candidate markers for reproductive traits in Dazu Black Goats. Moreover, association studies on a large scale are still needed to figure out what effect these SNPs have on reproductive traits.

Validation of a Disability Assessment Tool Based on the International Classification of Functioning, Disability, and Health in the Chinese Context.

Background: The common standards of disability assessment for long-term care (LTC) insurance are currently absent. The International Classification of Functioning, Disability and Health (ICF) was designed for a better description of health and functioning, which could fill the demand gap for the standards of disability assessment and be a promising tool for the development of LTC insurance system. Objectives: To validate a disability assessment scale for disabled elderly individuals based on the ICF for LTC in the Chinese context. Methods: The present study is a cross-sectional study. A disability assessment tool based on the ICF was developed by referring to other assessment tools and an expert consensus meeting in the initial phase of the study. The developed tool was used to evaluate 1,610 elderly individuals in the LTC institutions. The Cronbach's α coefficient and split-half reliability were applied to test the internal consistency of the tool, while the Interclass correlation coefficients (ICCs) were used to evaluate the interrater reliability (IRR). Factor analysis was performed to verify the construct validity of the tool. The scores from the Medical Outcomes Short Form-12 (SF-12) were correlated with that from the disability assessment tool, to assess the criterion-related validity. Results: The Cronbach's α coefficient and split-half reliability of the disability assessment tool were 0.969 and 0.877, respectively. The ICCs of the sum scale was 0.85, and the ICCs of each of the 20 items in the scale ranged from 0.78 to 0.94. The items were divided into three factors through analysis, which is consistent with the structure expectation. The scores of each item and the sum score of the disability assessment scale were negatively correlated with the scores of the physical and psychological fields in SF-12 (p < 0.001). Overall, the data indicated that the tool was characterized by good internal consistency, IRR, construct validity, and criterion-related validity. Conclusions: The disability assessment tool based on the ICF is a reliable and valid tool for the collection of information on functioning across various LTC settings. The information of disability provided evidence for the distribution of LTC service and guided the development of LTC insurance standards.

Genome-Wide Association Study of Body Conformation Traits by Whole Genome Sequencing in Dazu Black Goats.

Identifying associations between genetic markers and economic traits has practical benefits for the meat goat industry. To better understand the genomic regions and biological pathways contributing to body conformation traits of meat goats, a genome-wide association study was performed using Dazu black goats (DBGs), a Chinese indigenous goat breed. In particular, 150 DBGs were genotyped by whole-genome sequencing, and six body conformation traits, including body height (BH), body length (BL), cannon circumference (CC), chest depth (CD), chest width (CW), and heart girth (HG), were examined. In total, 53 potential SNPs were associated with these body conformation traits. A bioinformatics analysis was performed to evaluate the genes located close to the significant SNPs. Finally, 42 candidate genes (e.g., PSTPIP2, C7orf57, CCL19, FGF9, SGCG, FIGN, and SIPA1L) were identified as components of the genetic architecture underlying body conformation traits. Our results provide useful biological information for the improvement of growth performance and have practical applications for genomic selection in goats.

Hydrogen gas post-conditioning alleviates cognitive dysfunction and anxiety-like behavior in a rat model of subarachnoid hemorrhage.

Subarachnoid hemorrhage (SAH) results in high rates of mortality and lasting disability. Hydrogen gas (H2) is an antioxidant with demonstrated neuroprotective efficacy. The present study examined the therapeutic efficacy of H2 inhalation on early brain injury following experimental SAH in rats and the potential underlying molecular mechanisms. The rats were randomly separated into three groups (n=36 per group): Sham, SAH and SAH + H2. Endovascular perforation of the right internal carotid artery was used to establish SAH. After perforation, rats in the SAH + H2 group inhaled 2.9% H2 with regular oxygen for 2 h. Then, 24 h post-SAH, TUNEL staining was used to detect apoptotic neurons, and both immunostaining and western blotting were conducted to examine changes in p38 MAPK activity and the expression levels of apoptotic regulators (Bcl-2, Bax and cleaved caspase-3) in the ventromedial prefrontal cortex. Then, 30 day post-SAH, Nissl staining was performed to detect neuronal injury, brain MRI was conducted to detect gross changes in brain structure and metabolism, the open field test was used to assess anxiety and the novel object recognition test was performed to assess memory. H2 inhalation following experimental SAH stabilized brain metabolites, improved recognition memory and reduced anxiety-like behavior, the neuronal apoptosis rate, phosphorylated p38 MAPK expression, cleaved caspase-3 expression and the Bax/Bcl-2 ratio. Collectively, the present results suggested that H2 inhalation can alleviate SAH-induced cognitive impairment, behavioral abnormalities and neuronal apoptosis in rats, possibly via inhibition of the p38 MAPK signal pathway.

Intensity of Left Atrial Spontaneous Echo Contrast as a Correlate for Stroke Risk Stratification in Patients with Nonvalvular Atrial Fibrillation.

The intensity of left atrial spontaneous echo contrast (LASEC) by transesophageal echocardiography (TEE) has been proposed as an important variable in the stratification of thromboembolic risk, particularly in patients with nonvalvular atrial fibrillation (NVAF). We hypothesized that the quantification of LASEC by ultrasound will improve its utility in predicting subsequent stroke events in patients with NVAF. Patients (n = 206) with definite NVAF receiving TEE were included for this prospective cohort study. Baseline clinical risk factors of stroke, CHADS2 score and CHA2DS2-Vasc, left atrial thrombus (LAT), the five-grades of LASEC and video intensity (VI) value of LASEC were measured. During 2 years follow-up, 20 patients (9.7%) developed stroke. VI value of LASEC in the patients with stroke was higher compared to patients without stroke (25.30 ± 3.61 vs. 8.65 ± 0.81, p < 0.001). On logistic regression analysis, LAT, qualitative LASEC, graded LASEC, VI value of LASEC and CHADS2 and CHA2DS2-Vasc score were independent predictors of stroke. Among them, the highest area under the curve of receiver operating characteristic (ROC) in predicting stroke was VI value of LASEC (p < 0.05). These results show that quantification of LASEC by VI value is the most favorable predictor of stroke in patients with NVAF, and calls for improving the utility of LASEC in predicting subsequent stroke events.