8,371 research outputs found
Linked Lives, Linked Trajectories: Intergenerational Association of Intragenerational Income Mobility
No full textCheng, Siwei, and Xi Song. "Linked lives, linked trajectories: intergenerational association of intragenerational income mobility." American Sociological Review 84, no. 6 (2019): 1037-1068
Linked Lives, Linked Trajectories: Intergenerational Association of Intragenerational Income Mobility
No full textCheng, Siwei, and Xi Song. "Linked lives, linked trajectories: intergenerational association of intragenerational income mobility." American Sociological Review 84, no. 6 (2019): 1037-1068
Linked Lives, Linked Trajectories: Intergenerational Association of Intragenerational Income Mobility
No full textCheng, Siwei, and Xi Song. "Linked lives, linked trajectories: intergenerational association of intragenerational income mobility." American Sociological Review 84, no. 6 (2019): 1037-1068
Song_online_supplement – Supplemental material for Linked Lives, Linked Trajectories: Intergenerational Association of Intragenerational Income Mobility
No full textSupplemental material, Song_online_supplement for Linked Lives, Linked Trajectories: Intergenerational Association of Intragenerational Income Mobility by Siwei Cheng and Xi Song in American Sociological Review</p
sj-docx-1-srd-10.1177_23780231231182515 – Supplemental material for Family Structure and Cohort Trends in Childhood Family Income Volatility
No full textSupplemental material, sj-docx-1-srd-10.1177_23780231231182515 for Family Structure and Cohort Trends in Childhood Family Income Volatility by Airan Liu and Siwei Cheng in Socius</p
Comparison of the predictive value of four insulin resistance surrogates for the prevalence of hypertension: a population-based study
No full textBACKGROUND: Several studies have investigated the association of insulin resistance (IR) surrogates and the risk of hypertension. However, it is unclear whether there exist differences between different IR surrogates and hypertension risk. Therefore, this study aimed to explore the association of four IR surrogates (triglyceride-glucose index (TyG index), triglyceride-glucose index with body mass index (TyG-BMI), triglycerides/high-density lipoprotein cholesterol ratio (TG/HDL-c), and metabolic score for IR (METS-IR)) with the prevalence of hypertension. METHODS: This is a cross-sectional study with a total of 117,056 participants. Data were extracted from a computerized database established by Rich Healthcare Group in China, which included all medical records of participants who received a health check-up from 2010 to 2016. IR surrogates were grouped into quartiles as continuous variables, and multivariate logistic regression was performed to estimate the association between different IR surrogate levels and the prevalence of hypertension. Results were expressed as odds ratios (ORs) and 95% confidence intervals (CIs). Missing data were accounted by multiple imputation. These analyses were considered as the sensitivity analysis. Meanwhile, the Bayesian network (BN) model was constructed to further evaluate the relationship between baseline characteristics and the four IR surrogates and the prevalence of hypertension, as well as the importance of every single variable for the prevalence of hypertension. RESULTS: Multivariate logistic regression analysis revealed that TyG-BMI and METS-IR were independent risk factors for the prevalence of hypertension that increased significantly with increasing TyG-BMI and METS-IR (p for trend < 0.001). The area under the TyG-BMI curve (AUC) was 0.681 [95% CI: 0.677–0.685], and the cut-off value was 199.5, with a sensitivity and specificity of 65.57% and 61.18%, respectively. While the area under the METS-IR curve (AUC) was 0.679 [95% CI: 0.674–0.683], and the cut-off value was 33.61, with a sensitivity and specificity of 69.67% and 56.67%, respectively. The BN model presented that among these four IR surrogates and related variables, TyG-BMI was the most important predictor of hypertension prevalence, with a significance of 34%. The results before and after multiple imputation were similar. CONCLUSION: TyG-BMI and METS-IR were independent risk factors for the prevalence of hypertension. TyG-BMI and METS-IR had good predictive value for the prevalence of hypertension, and TyG-BMI was superior to METS-IR. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13098-022-00907-9
Based on Systematic Pharmacology: Molecular Mechanism of Siwei Jianbu Decoction in Preventing Oxaliplatin-Induced Peripheral Neuropathy
No full textChemotherapy-induced peripheral neuropathy (CIPN) is a dose-limiting side effect caused by chemotherapy drugs, and its existence seriously affects the quality of life of patients. We first established an oxaliplatin-induced peripheral neuropathy (OIPN) model and then measured and evaluated mechanical hyperalgesia, thermal nociception, cold allodynia, and intraepidermal nerve fiber (IENF) density to determine Siwei Jianbu Decoction’s role in preventing OIPN. Then, we conducted a systematic pharmacological study that revealed important roles for the MAPK signaling pathway and proinflammatory immune pathway and confirmed these roles by western blot, immunofluorescence, and qPCR. The data show that Siwei Jianbu Decoction can effectively prevent oxaliplatin-induced neuroinflammation by inhibiting an increase in NF-κB expression via downregulation of p-ERK1/2 and p-p38. The present study showed that SWJB may be beneficial in preventing oxaliplatin-induced peripheral neuropathy
Book review: The US financial crisis: analysis andinterpretation: lessons for China
No full textCheng Siwei evaluates the effects of China’s countermeasures to the financial crisis and identifies the excessive growth of ‘fictitious capital’, a concept developed by Karl Marx, as its root cause. Joel Suss finds that while the author does provide excellent economic policy advice, he does not spell out policies that may shore up credibility and stop panic from spreading
Superior predictive value of estimated pulse wave velocity for all-cause and cardiovascular disease mortality risk in U.S. general adults
No full textAbstract Background Estimated pulse wave velocity (ePWV) has been proposed as a potential approach to estimate carotid-femoral pulse wave velocity. However, the potential of ePWV in predicting all-cause mortality (ACM) and cardiovascular disease mortality (CVM) in the general population is unclear. Methods We conducted a prospective cohort study using the data of 33,930 adults (age ≥ 20 years) from the National Health and Nutrition Examination Survey (NHANES) from 1999 to 2014 until the end of December 2019. The study outcomes included ACM and CVM. Survey-weighted Cox proportional hazards models were used to assess hazard ratios (HRs) and 95% confidence intervals (CIs) to determine the association between ePWV and ACM and CVM. To further investigate whether ePWV was superior to traditional risk factors in predicting ACM and CVM, comparisons between ePWV and the Framingham Risk Score (FRS) and Pooled Cohort Equations (PCE) models were performed. Integrated Discriminant Improvement (IDI) and Net Reclassification Improvement (NRI) were employed to analyze differences in predictive ability between models. Results The weighted mean age of the 33,930 adults included was 45.2 years, and 50.28% of all participants were men. In the fully adjusted Cox regression model, each 1 m/s increase in ePWV was associated with 50% and 49% increases in the risk of ACM (HR 1.50; 95% CI, 1.45–1.54) and CVM (HR 1.49; 95% CI, 1.41–1.57), respectively. After adjusting for FRS, each 1 m/s increase in ePWV was still associated with 29% (HR 1.29; 95% CI, 1.24–1.34) and 34% (HR 1.34; 95% CI, 1.23–1.45) increases in the risk of ACM and CVM, respectively. The area under the curve (AUC) predicted by ePWV for 10-year ACM and CVM were 0.822 and 0.835, respectively. Compared with the FRS model, the ePWV model improved the predictive value of ACM and CVM by 5.1% and 3.8%, respectively, with no further improvement in event classification. In comparison with the PCE model, the ePWV model’s ability to predict 10-year ACM and CVM was improved by 5.1% and 3.5%, and event classification improvement was improved by 34.5% and 37.4%. Conclusions In the U.S. adults, ePWV is an independent risk factor for ACM and CVM and is independent of traditional risk factors. In the general population aged 20 to 85 years, ePWV has a robust predictive value for the risk of ACM and CVM, superior to the FRS and PCE models. The predictive power of ePWV likely originates from the traditional risk factors incorporated into its calculation, rather than from an indirect association with measured pulse wave velocity
An Interview with an Author and Editor: The View from Taiwan
No full textORCID Engagement Manager Asia-Pacific, Estelle Cheng, recently spoke with Wen-Yau Cathy Lin, an academic, author and scholarly journal editor about ORCID and its use in Taiwan
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