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另外網站Ordinary Mind as the Way: The Hongzhou School and the Growth ...也說明:... 205, 206, 221n.53 sudden practice, 203 suffering, 157 Sui dynasty, 3, 27, ... 125, 215 Suizhou, 24 Sumi-san school, 108 Suzuki, D.T., 10 Suzuki Tetsuo, ...

國立陽明交通大學 腦科學研究所 楊智傑所指導 尤俊硯的 靜息態功能性磁振造影相位調變在思覺失調症中的應用 (2021),提出SUZUKI SUI 125關鍵因素是什麼,來自於思覺失調症、希爾伯特-黃轉換、功能性磁振造影、血氧濃度相依水平成像、氯丙嗪用藥當量、正性與負性症狀量表、簡短智能量表。

而第二篇論文臺北醫學大學 國際醫學研究博士學位學程 白其卉、DUONG VAN TUYEN所指導 NGUYEN HOANG MINH的 Mental Health, Health-related Quality of Life and Behaviors among Outpatients during the COVID-19 Pandemic: A Multiple Hospitals and Health Centers Study in Vietnam (2021),提出因為有 COVID-19、health-related quality of life、health behaviors、health literacy、lockdown、underlying health conditions、fear、anxiety、depression、outpatients的重點而找出了 SUZUKI SUI 125的解答。

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靜息態功能性磁振造影相位調變在思覺失調症中的應用

為了解決SUZUKI SUI 125的問題,作者尤俊硯 這樣論述:

緒論:思覺失調症為一種可能會造成腦區廣泛性功能損傷的精神疾病。本研究從功能性磁振造影血氧濃度相依水平成像訊號中分解出有效的頻寬,並計算該頻帶功能性連結的相位特性,作為思覺失調症在認知、精神症狀、用藥劑量等臨床指標的重要因子。材料與方法:從臺灣健康老化與精神疾病資料庫抽取健康控制參與者與思覺失調症參與者各200名。利用分析非穩態、非線性生理訊號具有優勢的希爾伯特-黃轉換分解血氧濃度相依水平成像訊號,選取第二本質模態函數。透過統計檢驗兩組在相位相干性與相位飄移性等訊號特性上存在組間差異的腦區連結,並以圖論模組化和視覺化。最終建立迴歸模型,找出影響簡短智能量表、正性與負性症狀量表、氯丙嗪用藥當量關

鍵連結的相位特性。結果:影響簡短智能量表的重要因子包含左側直迴與左側後扣帶迴連結的相位相干性,左側距狀溝與周圍皮質和左側舌回連結的相位飄移性;影響正性與負性症狀量表總分的重要因子包含右側額中迴與左側前扣帶迴與旁扣帶迴連結、右側中央後迴與右側緣上迴連結的相位相干性,左側額上迴(背外側)與右側梭狀迴連結、右側尾狀核與左側下顳迴連結的相位飄移性,另對各分量表也建立了模型,影響正性症狀分量表的重要因子為右側中央後迴與右側下頂葉 (不含緣上迴與角迴) 連結的相位相干性,影響負性症狀分量表的重要因子為雙側中扣帶迴與旁扣帶迴連結的相位相干性、右側額中迴與左側視丘連結的相位飄移性;影響氯丙嗪用藥當量的重要因子

包含左側尾狀核與左側豆狀核(蒼白球)連結、右側楔狀葉與右側枕中迴連結、右側中央後迴與右側緣上迴連結的相位相干性。結論:透過功能性連結訊號的相位特性,找出認知、精神症狀、用藥劑量具組間顯著差異的腦區連結。本演算流程所涉及的頻帶較窄,對於日後有功能性變化的疾病分析更有優勢,且相位的分析可對精神疾病神經活動訊號有更深入了解。

Mental Health, Health-related Quality of Life and Behaviors among Outpatients during the COVID-19 Pandemic: A Multiple Hospitals and Health Centers Study in Vietnam

為了解決SUZUKI SUI 125的問題,作者NGUYEN HOANG MINH 這樣論述:

BackgroundGlobally, the coronavirus disease (COVID-19) pandemic has been placing unprecedented challenges and burdens on various aspects of life, such as economics, culture, politics, education, and healthcare. The uncertainty of COVID-19 increases concerns and fear in the communities, especially i

n those with symptoms like COVID-19 (S-LikeCV19). Additionally, many countries have implemented preventive measures (e.g., lockdown, home confinement, social distancing), leading to considerable changes in peoples’ lives, such as working and learning from home, unemployment, lack of physical connect

ion, and food insecurity. Besides, it is reported that people with underlying health conditions (UHC) and infected with COVID-19 have a higher risk of serious symptoms and complications. Therefore, COVID-19-related factors (e.g., fear, lockdown, S-LikeCV19) and UHC may influence peoples’ psychologic

al health and health behaviors, further lowering their health-related quality of life (HRQoL). Furthermore, people who need health services encountered many challenges during the pandemic, such as difficulties in accessibility, examination and treatment delays, and concerns about COVID-19 infection.

From a public health perspective, it is crucial to understand the impacts of COVID-19-related factors and explore protective factors that can improve lifestyles, psychological health, and HRQoL in outpatients. In addition, due to unavailable specific treatments, non-pharmaceutical interventions (e.g

., adherence to preventive measures, health knowledge improvement, healthy lifestyles) are highly recommended to mitigate the consequences of the COVID-19 pandemic.Therefore, this study was conducted on outpatients during the initial stage of the COVID-19 pandemic for the following purposes:(1) To e

xplore the impacts of UHC, S-LikeCV19, and lockdown on anxiety and depressive symptoms; and examine the modification effects of health behaviors (e.g., eating behaviors, physical activity, smoking, drinking) and preventive behaviors.(2) To explore impacts of UHC, S-LikeCV19, lockdown, and fear of CO

VID-19 (F-CV19) on HRQoL; and examine the modification effects of health literacy, eHealth literacy (eHEALS), digital healthy diet literacy (DDL).(3) To explore impacts of UHC, S-LikeCV19, lockdown, and fear of COVID-19 (F-CV19) on changes in eating behaviors and physical activity; and examine the m

odification effects of eHEALS, DDL.MethodsA cross-sectional study was conducted from 14th February to 31st May 2020 in 18 hospitals and health centers in Vietnam. Data were obtained from 8291 outpatients, including socio-demographic characteristics, UHC, S-LikeCV19, F-CV19, health-related behaviors

(smoking, drinking, eating behaviors, and physical activity), preventive behaviors, eHEALS, DDL, depression (measured by 9-item Patient Health Questionnaire), anxiety (measured by 7-item Generalized Anxiety Disorders), and HRQoL (measured by 36-item Short Form Survey). In addition, multiple linear a

nd logistic regression; and interaction models were performed to explore potential associations.ResultsThe prevalence of anxiety and depression was 12.5% and 22.3%, respectively. Patients with UHC had 3.44 times higher anxiety likelihood and 2.71 times higher depression likelihood, while patients wi

th S-LikeCV19 had 3.31 times higher anxiety likelihood and 3.15 times higher depression likelihood than their counterparts. Similarly, patients under lockdown were 2.39 and 2.89 times more likely to have anxiety and depression than those without lockdown, respectively. Interaction models indicated h

igh compliance with preventive behaviors, unchanged/more physical activity, and unchanged/healthier eating behaviors significantly attenuated the associations of UHC, S-LikeCV19, and lockdown with anxiety and depressive symptoms. In addition, unchanged/more alcohol drinking significantly attenuated

the association between UHC and anxiety. Furthermore, the association between S-LikeCV19 and depression was attenuated by higher health literacy scores in outpatients during the pandemic.This study showed that only fear of COVID-19 was negatively associated with HRQoL (B, -0.79; 95% CI, -0.88 to -0.

70; p < 0.001). Interaction models suggested that the inverse association between F-CV19 and HRQoL was mitigated by higher eHEALS scores or higher DDL scores.Patients with UHC, or with S-LikeCV19, or under lockdown had 54%, 52%, and 62% lower likelihoods of unchanged/healthier eating behaviors, and

21%, 58%, and 22% lower likelihoods of unchanged/more physical activity. Interaction models indicated that the association between lockdown and eating behaviors was significantly attenuated by higher DDL scores. Meanwhile, the association between lockdown and physical activity was significantly miti

gated by higher eHEALS scores. There was no statistically significant interaction of UHC and S-LikeCV19 with DDL and eHEALS on changes in health behavior outcomes.Conclusions:During the pandemic, patients under lockdown period, or with UHC, or S-LikeCV19 were more likely to have anxiety and depressi

ve symptoms; and less likely to have unchanged/healthier eating behaviors and unchanged/more physical activity. In addition, patients with higher F-CV19 were more likely to have poorer HRQoL.High adherence to preventive behaviors, physical activity, and healthy eating behaviors could mitigate the ne

gative impacts of UHC, S-LikeCV19, and lockdown on anxiety and depression. In addition, higher health literacy could mitigate the impact of S-LikeCV19 on depression during the pandemic. Besides, alcohol drinking was found to lower the impact of UHC on anxiety.Moreover, better eHEALS and DDL could mi

tigate the adverse impacts of F-CV19 on HRQoL. Higher eHEALS could help to alleviate the impact of lockdown on physical activity, while higher DDL could mitigate the impact of lockdown on eating behaviors.Our findings provide timely and reliable evidence for appropriate strategies to enhance healthy

lifestyles, preventive behaviors, eHEALS, and DDL, thereby preventing outpatients from psychological disorders and improving their HRQoL during the pandemic.