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This meta-analysis explores the correlation between self-assessment (SA) and language performance. Sixty-seven studies with 97 independent samples involving more than 68,500 participants were included in our analysis. It was found that the overall correlation between SA and language performance was .466 ( p

Residence in an immigrant enclave has been linked to lower risk for some cancers but higher risk of late-stage diagnosis. In part, these patterns may be explained by the cultural, institutional, and social resources in immigrant enclaves that protect against ill health. Modern communication and transportation can facilitate “exposure” to immigrant enclaves as resource hubs, while individuals may reside in more racially integrated neighborhoods. This process of heterolocalism is underexplored in its relationship to cancer risk. The current study compares residents and non-residents of Chinese immigrant enclaves in Philadelphia with respect to distances traveled for various activities. Participants were 520 Chinese immigrant men and women aged 35-65 y. Interviews conducted 9/18-01/20 included questions on residence and usual locations of five types of activities: employment, grocery shopping, religious services, healthcare, and leisure. Participants were categorized as residing in a traditional (n=167), emerging (n=202), or non-enclave (n=151) neighborhood depending on the co-ethnic density of their census tract and adjacent tracts. We used ArcGIS to geocode participants’ residences and activity locations and conducted spatial analyses to examine distances traveled to these activities. Results indicated that residents of traditional enclaves stayed within or near their residential neighborhoods for grocery shopping, religious services, and leisure activities (median distances all Citation Format: Ella Batterson, Marilyn Tseng, Emily C. Walton, Brian Egleston, Julia Zhong, Minzi Li, Carolyn Fang. Patterns of heterolocalism among Chinese immigrants in Philadelphia [abstract]. In: Proceedings of the 15th AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2022 Sep 16-19; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2022;31(1 Suppl):Abstract nr A013.

The COVID-19 pandemic profoundly affected cancer prevention behaviors and cancer care. Social capital is also thought to affect cancer prevention and care, with some observed improvements in well being and survival among cancer patients. Residents of immigrant enclaves are thought to have more social capital than non-residents, potentially buffering against negative effects of the pandemic. We compared residents and non-residents of Chinese immigrant enclaves in Philadelphia with respect to their social capital and loneliness and change in these factors from before to during the pandemic. Participants were 520 Chinese immigrant men and women aged 35-65 y. Baseline interviews conducted 9/18-01/20 included questions on residence and demographics, structural and cognitive social capital (short version of the Adapted Social Capital Assessment Tool (SASCAT)), and a validated 3-item loneliness scale. The SASCAT includes questions on membership in neighborhood groups, receiving support from specific individuals (e.g., family, neighbors, friends), and cognitive social capital representing perceived levels of trust and belonging in the neighborhood. In May-July 2020, 419 participants completed a follow-up interview that included the SASCAT and loneliness scales. Participants were categorized as residing in a traditional, emerging, or non-enclave neighborhood depending on the ethnic density of their census tract and adjacent tracts. At baseline there were no significant differences in social capital or loneliness across neighborhood types. During the pandemic, participants regardless of neighborhood type reported declines in group membership (18% baseline vs. 11% pandemic) and loneliness (25% vs. 12%), and increases in cognitive social capital (85% vs. 99%) and receiving support from individuals (35% vs. 69%) (all p Citation Format: Marilyn Tseng, Brian Egleston, Julia Zhong, Minzi Li, Carolyn Fang. Pandemic effects on social capital and loneliness in residents and non-residents of Chinese immigrant enclaves in Philadelphia [abstract]. In: Proceedings of the 15th AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2022 Sep 16-19; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2022;31(1 Suppl):Abstract nr A048.

Patients with non-disabling middle cerebral artery (MCA) stenosis (ND-MCAS) are at risk for disabling ischemic cerebrovascular events (DICE) despite aggressive medical therapy. In this study, we aimed to verify whether cerebral circulation time (CCT) was a potential predictor of DICE in patients with ND-MCAS. From January 2015 to January 2020, 46 patients with ND-MCAS treated with aggressive medical therapy were enrolled for digital subtraction angiography (DSA) in this convenience sampling study. They were divided into the DICE (–) and DICE (+) groups based on the occurrence of DICE within 3 months after DSA. The CCT was defined as the time from the appearance of the MCA to the peak intensity of the Trolard vein during DSA. The rCCT (relative CCT) was defined as the ratio of the CCT of the stenotic side (sCCT) to the CCT of the healthy side (hCCT). The differences in sCCT, hCCT, and rCCT between the two groups were analyzed with Mann-Whitney U tests. Logistic regression analysis was performed to evaluate the association between the risk factors and DICE. Receiver operating characteristic (ROC) curves were constructed to assess the predictive value of rCCT in identifying DICE in ND-MCAS patients. The results showed that DICE appeared in 5 of the 46 patients within 3 months. rCCT were significantly increased in the DICE (+) group compared with the DICE (–) group [1.08 (1.05, 1.14) vs. 1.30 (1.22, 1.54), p < 0.001]. Logistic regression analysis found that prolonged rCCT was an independent positive prognostic factor for DICE (odds ratio = 1.273, p = 0.019) after adjustment for potential confounders (age, diabetes, antithrombotic use, and stenosis degree). ROC analysis showed that rCCT provided satisfactory accuracy in distinguishing the DICE (+) group from the DICE (–) group among ND-MCAS patients (area under the curve = 0.985, p < 0.001), with an optimal cutoff point of 1.20 (100% sensitivity, 97.6% specificity). In conclusion, prolonged rCCT is independently associated with the occurrence of DICE in ND-MCAS patients and may be used to identify individuals at risk of DICE.

Objective We aimed to identify key susceptibility gene targets in multiple datasets generated from postmortem brains and blood of Parkinson’s disease (PD) patients and healthy controls (HC). Methods We performed a multitiered analysis to integrate the gene expression data using multiple-gene chips from 244 human postmortem tissues. We identified hub node genes in the highly PD-related consensus module by constructing protein–protein interaction (PPI) networks. Next, we validated the top four interacting genes in 238 subjects (90 sporadic PD, 125 HC and 23 Parkinson’s Plus Syndrome (PPS)). Utilizing multinomial logistic regression analysis (MLRA) and receiver operating characteristic (ROC), we analyzed the risk factors and diagnostic power for discriminating PD from HC and PPS. Results We identified 1333 genes that were significantly different between PD and HCs based on seven microarray datasets. The identified MEturquoise module is related to synaptic vesicle trafficking (SVT) dysfunction in PD (P Conclusions This study highlights that SVT genes, especially SYNJ1, may be promising markers in discriminating PD from HCs and PPS.

Background: Stroke-associated pneumonia (SAP) is a major complication after stroke, oral microorganisms are important contributors to SAP. Here, we aimed to investigate whether the oral hygiene was associated with SAP and related risk factors of them in patients with acute ischemic stroke. Methods: We performed a cross-sectional study that recruited 331 patients with acute ischemic stroke from two medical centers. A series of assessments were performed to evaluate the neurological status and habits of oral hygiene. According to whether the oral hygiene was abnormal and SAP occurred, univariate analyses were performed in cohort 1 (normal / abnormal oral hygiene groups) and cohort 2 (SAP / non-SAP groups). Multiple logistic regression analyses were conducted to confirm risk factors of oral cleanliness and SAP in stroke patients. Results: A total of 12 and 8 independent variables were included in the model 1 and 2 analysis. After adjusting for confounders, multivariable logistic regression analysis showed that oral cleanliness was not only closely related to SAP (OR=2.219, P=0.026), dental caries (OR=1.292, P=0.005) and age (OR=1.030, P=0.006) in model 1, but also an independent risk factor for predicting SAP (OR=1.678, P=0.001) in model 2. Barthel index was a protective factor for oral cleanliness (OR=0.986, P=0.019) and SAP (OR=0.977, P=0.002) in ischemic stroke patients. Conclusions: Mutually primary risk roles of abnormal oral cleanliness and SAP exist in patients with acute ischemic stroke. Dental caries and aging are important risk factors for oral health disorders. Improving the activities of daily living would have protective effects on both oral hygiene and SAP prevention in stroke patients.

Supplemental material, sj-pdf-1-ltj-10.1177_0265532220932481 for A meta-analysis of self-assessment and language performance in language testing and assessment by Minzi Li and Xian Zhang in Language Testing

Objective: We aimed to identify key susceptibility gene targets in multiple datasets generated from post-mortem brains of Parkinson’s disease (PD) patients and healthy controls (HC). Methods: We performed a multi-tiered analysis to integrate the gene expression data using multiple-gene chips from 244 human post mortem tissues. We identified hub node genes in the highly PD-related consensus module by constructing protein-protein interaction (PPI) networks. Next we validated the top four interacting genes in 238 subjects (90 sporadic PD, 125 HC and 23 Parkinson’s Plus Syndrome (PPS)). Utilizing multinomial logistic regression analysis(MLRA) and Receiver Operating Characteristic(ROC), we analyzed the risk factors and diagnostic power for discriminating PD from HC and PPS. Results: We identified 1333 genes that were significantly different between PD and HCs based on seven microarray datasets. The identified MEturquoise module is related to synaptic vesicle trafficking (SVT) dysfunction in PD (P