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臺北醫學大學 藥學系臨床藥學碩士在職專班 吳姿樺所指導 鄧筱叡的 藥師在中西藥交互作用知能初探:以常用解酒中藥為例 (2021),提出zs-811關鍵因素是什麼,來自於藥師知能、解酒中藥、中西藥交互作用、葛根、黃連、五味子。

而第二篇論文臺北醫學大學 全球衛生暨衛生安全博士學位學程 CHIOU, HUNG-YI、CHIU, YA-WEN所指導 BUI KIM CHUNG的 ASSOCIATION BETWEEN UNHEALTHY BEHAVIORS AND MENTAL HEALTH AMONG ADOLESCENTS IN TAIWAN (2021),提出因為有 adolescents、emotional eating、clustering of unhealthy behaviors、Insufficient physical activity、Screen-based sedentary behaviors、Frequent Sugar-sweetened beverage consumption的重點而找出了 zs-811的解答。

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藥師在中西藥交互作用知能初探:以常用解酒中藥為例

為了解決zs-811的問題,作者鄧筱叡 這樣論述:

臺灣是全世界酒精不耐症比例最高的國家,問題性飲酒問題有增加趨勢。臺北市立聯合醫院於近年推出中西醫整合門診治療酒精使用障礙症,提升藥師對於解酒中藥以及其中西藥交互作用知能,則能有助於提供有效藥事照護與諮詢。本研究旨在查詢蒐集解酒中藥葛根、黃連、五味子之中西藥交互作用文獻,並探討醫院藥師個人特質與文獻查閱習慣對本研究所收錄解酒中藥的中西藥交互作用文獻之相關知識瞭解程度的影響。研究方法:1)針對三個中藥:葛根、黃連、五味子進行中西藥交互作用(Herb-Drug Interactions,HDI)文獻蒐集。2)利用問卷,分析藥師對常用解酒中藥葛根、黃連、五味子的中西藥交互作用資訊的了解。研究

對象為臺北市立聯合醫院及臺北醫學大學的醫院藥師,採線上問卷調查方式進行相關資料收集,有效問卷共117份,問卷內容包含人口學、藥師需求調查、解酒中藥葛根、黃連、五味子中西醫合治藥物交互作用相關知識測驗(六題)。3)資料分析以SPSS 19.0版進行描述性統計及推論性統計進行資料分析。研究結果:1)共納入90篇中西藥交互作用文獻,含葛根25篇、黃連27篇和五味子38篇。解酒中藥葛根、黃連、五味子中西醫合治需要注意之HDI,包括葛根-Buspirone、葛根芩連湯-Valproic Acid、五味子-Tacrolimus、五味子-Cyclosporin A、五味子-Midazolam、黃連-Cycl

osporin A、黃連-Tacrolimus, 黃連-Fenofibrate、黃連-Simvastatin等。2)本研究受測者共117 位藥師,平均年齡為37.02± 10.44歲;教育程度分布最多的是大學(62.4%),其次為研究所(36.8%);服務的醫院屬性不分科有81位(69.2%)、精神專科佔17.9%,中醫專科佔12.8%;藥師平均執業年資為10.5±9.0。經測驗交互作用知識六題平均得分為1.9±1.0,於中醫專科執業的藥師平均得分為2.3±0.9,高於精神專科、不分科。經逐步迴歸分析後顯示,有閱讀中醫藥相關臨床試驗文獻的習慣、曾接觸過中藥業務,與藥師經常需要提供病患中西用藥諮

詢顯著有關(p

ASSOCIATION BETWEEN UNHEALTHY BEHAVIORS AND MENTAL HEALTH AMONG ADOLESCENTS IN TAIWAN

為了解決zs-811的問題,作者BUI KIM CHUNG 這樣論述:

IntroductionMental health issue in adolescents is a rising public health challenge in Taiwan. Among adolescents, how eating behavior, physical and sedentary activity reciprocally relate to mental health issue remains unclear. Therefore, our first study determined how clustering of unhealthy behavio

rs including frequent sugar-sweetened beverage consumption, screen-based sedentary behaviors, and insufficient physical activity associate with depression symptom. The second study investigated the association between emotional eating and frequent unhealthy food consumption.Material and methodsData

was retrieved from the baseline survey of Taiwan Adolescent to Adult Survey (TAALS), a longitudinal nationwide school-based surveillance in comprehensive health-related issues in Taiwanese adolescents from 2015 to 2020. We characterized the participants on individual factors, social determinants, un

healthy behaviors and depressive symptoms.In study I, probability of depressive symptom occurrences were predicted, given exhibiting clustering of unhealthy behaviors by multiple logistic regression models. In study II, multiple logistic regression analyses were conducted to assess the association

between emotional eating and frequent unhealthy food consumption as well as to reveal the associated effect modifiers.ResultsThe first study showed that, among the 18,509 participants (48.5% male and 51.5% female), depressive symptom were common (31.4%), particularly in female and older adolescents.

After adjustments for covariats including sex, school type, other lifestyle factors and social determinants, individuals exhibiting clustering of unhealthy behaviors were more likely (aOR = 1.56, 95% CI: 1.43-1.70) to exhibit depressive symptoms than those who have no or only one unhealthy behavior

. Stratified results indicated the modified effects of sex on the association between unhealthy behaviors and depressive symptoms. Insufficient physical activity significantly predicted depressive symptom among male, while screen based sedentary behavior was a crucial factor for depressive symptom a

mong female. The second study demonstrated that males were more likely than females to report frequent consumption of fast food (19.2% vs. 12.9%, p < 0.001), high-fat snacks (28.8% vs. 24.3%, p < 0.001), processed meat products (35.5% vs. 24.5%, p < 0.001), and SSBs (64.7% vs. 55.8%, p < 0.001). Tho

se exhibiting emotional eating were more likely to consume fast food (Odds ratio (OR) = 2.40, 95% Confidence interval (CI): 2.18–2.64), high-fat snacks (OR = 2.30, 95% CI: 2.12–2.49), processed meat products (OR = 1.92, 95% CI: 1.78–2.08), dessert foods (OR = 2.49, 95% CI: 2.31–2.69), and sugar-swee

tened beverages (OR = 1.83, 95% CI: 1.70–1.98). Factors that were positively associated with unhealthy food consumption included eating while doing other activities, binge drinking, smoking, and sedentary lifestyle. Among all the covariates, nutrition label reading was the only factor that was inver

sely associated with frequent unhealthy food consumption. Sex and school type may moderate the effect of emotional eating on the frequent consumption of specific unhealthy food groups.ConclusionThe first study demonstrated that clustering of unhealthy behaviors were commonly occurred in adolescents,

and were positively associated with depressive symptom. The findings highlight the importance of strengthening public health interventions to improve physical activity and decrease sedentary behavior.The second study indicated a positive association between emotional eating and unhealthy food cons

umption among adolescents. Eating while doing other activities and living a sedentary lifestyle were the two factors significantly associated with increased unhealthy food consumption across all five unhealthy food groups, while nutrition label reading may decrease the consumption of unhealthy food.