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Effect of hospital-community-home collaborative health management on symptoms,cognition,anxiety,and depression in high-risk individuals for stroke 被引量:1
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作者 Jing Wang Chen-Xi Zhao +5 位作者 Jin Tian Yan-Ru Li kai-fang ma Rui Du Meng-Kun Li Rui Hu 《World Journal of Psychiatry》 2025年第3期78-87,共10页
BACKGROUND Effective health management for high-risk stroke populations is essential.The hospital-community-home(HCH)collaborative health management(CHM)model leverages resources from hospitals,communities,and familie... BACKGROUND Effective health management for high-risk stroke populations is essential.The hospital-community-home(HCH)collaborative health management(CHM)model leverages resources from hospitals,communities,and families.By integrating patient information across these three domains,it facilitates the delivery of tailored guidance,health risk assessments,and three-in-one health education.AIM To explore the effects of the HCH-CHM model on stroke risk reduction in highrisk populations.METHODS In total,110 high-risk stroke patients screened in the community from January 2019 to January 2023 were enrolled,with 52 patients in the control group receiving routine health education and 58 in the observation group receiving HCH-CHM model interventions based on routine health education.Stroke awareness scores,health behavior levels,medication adherence,blood pressure,serum biochemical markers(systolic/diastolic blood pressure,total cholesterol,and triglyceride),and psychological measures(self-rating anxiety/depression scale)were evaluated and compared between groups.RESULTS The observation group showed statistically significant improvements in stroke awareness scores and health behavior levels compared to the control group(P<0.05),with notable enhancements in lifestyle and dietary habits(P<0.05)and reductions in postintervention systolic blood pressure,diastolic blood pressure,total cholesterol,triglyceride,self-rating anxiety scale,and self-rating depression scale scores(P<0.05).CONCLUSION The HCH-CHM model had a significant positive effect on high-risk stroke populations,effectively increasing disease awareness,improving health behavior and medication adherence,and appropriately ameliorating blood pressure,serum biochemical marker levels,and negative psychological symptoms. 展开更多
关键词 Hospital-community-home-collaborative health management model High-risk populations for stroke Stroke awareness score Health behavior level Hospital-community-home
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Effect of rotation curvature correction and inviscid spatial discretization scheme on the aerodynamics of vertical axis wind turbine
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作者 kai-fang ma Jia-song Wang Lei-ping Xue 《Journal of Hydrodynamics》 SCIE EI CSCD 2024年第5期828-842,共15页
The effect of rotation-curvature correction and inviscid spatial discretization scheme on the aerodynamic performance and flow characteristics of Darrieus H-type vertical axis wind turbine(VAWT)are investigated based ... The effect of rotation-curvature correction and inviscid spatial discretization scheme on the aerodynamic performance and flow characteristics of Darrieus H-type vertical axis wind turbine(VAWT)are investigated based on an in-house solver.This solver is developed on an in-house platform HRAPIF based on the finite volume method(FVM)with the elemental velocity vector transformation(EVVT)approach.The present solver adopts the density-based method with a low Mach preconditioning technique.The turbulence models are the Spalart-Allmaras(SA)model and the k-ωshear stress transport(SST)model.The inviscid spatial discretization schemes are the third-order monotone upstream-centered schemes for conservation laws(MUSCL)scheme and the fifth-order modified weighted essentially non-oscillatory(WENO-Z)scheme.The power coefficient,instantaneous torque of blades,blade wake,and turbine wake are compared and analyzed at different tip speed ratios.The extensive analysis reveals that the density-based method can be applied in VAWT numerical simulation;the SST models perform better than the SA models in power coefficient prediction;the rotation-curvature correction is not necessary and the third-order MUSCL is enough for power coefficient prediction,the high-order WENO-Z scheme can capture more flow field details,the rotation-curvature correction and high-order WENO-Z scheme reduce the length of the velocity deficit region in the turbine wake. 展开更多
关键词 Rotation-curvature correction spatial discretization scheme turbulence model power coefficient WAKE
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