The Secondary Motor Cortex-striatum Circuit Contributes to Suppressing Inappropriate Responses in Perceptual Decision Behavior / 神经科学通报·英文版

The secondary motor cortex (M2) encodes choice-related information and plays an important role in cue-guided actions. M2 neurons innervate the dorsal striatum (DS), which also contributes to decision-making behavior, yet how M2 modulates signals in the DS to influence perceptual decision-making is unclear. Using mice performing a visual Go/No-Go task, we showed that inactivating M2 projections to the DS impaired performance by increasing the false alarm (FA) rate to the reward-irrelevant No-Go stimulus. The choice signal of M2 neurons correlated with behavioral performance, and the inactivation of M2 neurons projecting to the DS reduced the choice signal in the DS. By measuring and manipulating the responses of direct or indirect pathway striatal neurons defined by M2 inputs, we found that the indirect pathway neurons exhibited a shorter response latency to the No-Go stimulus, and inactivating their early responses increased the FA rate. These results demonstrate that the M2-to-DS pathway is crucial for suppressing inappropriate responses in perceptual decision behavior.

Age-related modification effect on the association between body mass index and the risk of hypertension: A Cohort Study on Chinese people living in the rural areas / 中华流行病学杂志

Objective: To study the modification effect of age on the association between body mass index and the risk of hypertension. Methods: People age ≥18 years old were selected by clusters, from a rural area of Henan province. In total, 20 194 people were recruited at baseline during 2007 and 2008, and the follow-up study was completed from 2013 to 2014. Logistic regression model was used to assess the risk of incident hypertension by baseline BMI and age-specific BMI. Results: During the 6-year follow-up period, 1 950 hypertensive persons were detected, including 784 men and 1 166 women, with cumulative incidence rates as 19.96%, 20.51%, and 19.61%, respectively. Compared with those whose BMI<22 kg/m(2), the RRs of hypertension were 1.09 (0.93-1.27), 1.17 (1.01-1.37), 1.34 (1.14-1.58) and 1.31 (1.09-1.56) for participants with BMI as 22-, 24-, 26- and ≥28 kg/m(2), respectively. In young and middle-aged populations, the risk of hypertension gradually increased with the rise of BMI (trend P<0.05). However, in the elderly, the increasing trend on the risk of hypertension risk was not as significantly obvious (trend P>0.05). Conclusion: The effect of BMI on the incidence of hypertension seemed to depend on age. Our findings suggested that a weight reduction program would be more effective on young or middle-aged populations, to prevent the development of hypertension.

A cohort study on body mass index and risk of all-cause mortality among hypertensive population / 中华流行病学杂志

Objective: To investigate the relationship between body mass index (BMI) and all-cause mortality in hypertensive population. Methods: All participants were selected from a prospective cohort study based on a rural population from Henan province, China. Cox proportional hazards regression models were used to estimate the associations of different levels of BMI stratification with all-cause mortality. Restricted cubic spline models were used to detect the dose-response relation. Results: Among the 5 461 hypertensive patients, a total of 31 048.38 person-years follow-up was conducted. The median of follow-up time was 6 years, and 589 deaths occurred during the follow-up period. Compared to normal weight group (18.5 kg/m(2)<BMI<24.0 kg/m(2)) the multivariate-adjusted hazard ratios for all-cause mortality associated with BMI levels (<18.5 kg/m(2), 24-28 kg/m(2), and ≥28 kg/m(2)) were 0.83 (95%CI: 0.37-1.87), 0.81 (95%CI: 0.67-0.97), and 0.72 (95%CI: 0.56-0.91), respectively. The dose-response analysis showed a nonlinear, reverse "S" shaped relationship (non-linearity P<0.001). Conclusion: Overweight or obese might have a protective effect on all-cause mortality in hypertensive population, which supports the "obesity paradox" phenomenon.

Age-related modification effect on the association between body mass index and the risk of hypertension: A Cohort Study on Chinese people living in the rural areas / 中华流行病学杂志

Objective To study the modification effect of age on the association between body mass index and the risk of hypertension.Methods People age ≥ 18 years old were selected by clusters,from a rural area of Henan province.In total,20 194 people were recruited at baseline during 2007 and 2008,and the follow-up study was completed from 2013 to 2014.Logistic regression model was used to assess the risk of incident hypertension by baseline BMI and age-specific BMI.Results During the 6-year follow-up period,1 950 hypertensive persons were detected,including 784 men and 1 166 women,with cumulative incidence rates as 19.96％,20.51％,and 19.61％,respectively.Compared with those whose BMI＜22 kg/m2,the RRs of hypertension were 1.09 (0.93-1.27),1.17 (1.01-1.37),1.34 (1.14-1.58) and 1.31 (1.09-1.56) for participants with BMI as 22-,24-,26-and ≥28 kg/m2,respectively.In young and middle-aged populations,the risk of hypertension gradually increased with the rise of BMI (trend P＜0.05).However,in the elderly,the increasing trend on the risk of hypertension risk was not as significantly obvious (trend P＞0.05).Conclusion The effect of BMI on the incidence of hypertension seemed to depend on age.Our findings suggested that a weight reduction program would be more effective on young or middle-aged populations,to prevent the development of hypertension.

A cohort study on body mass index and risk of all-cause mortality among hypertensive population / 中华流行病学杂志

Objective To investigate the relationship between body mass index (BMI) and all-cause mortality in hypertensive population.Methods All participants were selected from a prospective cohort study based on a rural population from Henan province,China.Cox proportional hazards regression models were used to estimate the associations of different levels of BMI stratification with all-cause mortality.Restricted cubic spline models were used to detect the doseresponse relation.Results Among the 5 461 hypertensive patients,a total of 31 048.38 person-years follow-up was conducted.The median of follow-up time was 6 years,and 589 deaths occurred during the follow-up period.Compared to normal weight group (18.5 kg/m2＜BMI＜24.0 kg/m2) the multivariate-adjusted hazard ratios for all-cause mortality associated with BMI levels (＜ 18.5 kg/m2,24-28 kg/m2,and ≥28 kg/m2) were 0.83 (95％CI:0.37-1.87),0.81 (95％CI:0.67-0.97),and 0.72 (95％CI:0.56-0.91),respectively.The dose-response analysis showed a nonlinear,reverse "S" shaped relationship (non-linearity P＜0.001).Conclusion Overweight or obese might have a protective effect on all-cause mortality in hypertensive population,which supports the "obesity paradox" phenomenon.

An empirical study on the effects of two-way referral system: A perspective of medical service consumers / 中国卫生政策研究

Objective: To explore the effects of the bi-directional referral system from the perspective of the medical service consumer.Methods: A balanced panel data which was adjusted by Propensity Score Matching was employed to evaluate the effects of two-way referral system using difference-in-difference (DID) for the 2013 and 2015 data.The evaluation indicators including actual cost sharing ration, out-of-pocket cost per unit, the possibility of high cost, annual inpatient visits and length of hospital stay per unit were used.Results: Compared with the control group, the two-way referral system resulted in an 11.3% (P<0.001) increase in actual cost sharing ratio and an increase of 0.710 (P<0.001) annual inpatient visits in the intervention group.However, the policy did not significantly reduce the possibility of high-cost medical expenses and reduce the length of hospitalization and the annual cost hospitalization.Conclusion: Based on the key findings of the analysis of this study, the two-way referral system has beneficial effects on reducing inpatient financial burden and optimizing resource allocation.