u.s. dollar index fu的問題,透過圖書和論文來找解法和答案更準確安心。 我們找到下列免費下載的地點或者是各式教學

國立宜蘭大學 外國語文學系 楊子儀所指導 唐學文的 以美元匯率及西德洲原油產量探討西德洲原油價格之 非線性 (2021),提出u.s. dollar index fu關鍵因素是什麼,來自於STARX模型、西德州原油價格、西德州原油產量、美元指數、非綫性門檻效應。

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 u.s. dollar index fu的解答。

接下來讓我們看這些論文和書籍都說些什麼吧:

除了u.s. dollar index fu,大家也想知道這些:

以美元匯率及西德洲原油產量探討西德洲原油價格之 非線性

為了解決u.s. dollar index fu的問題,作者唐學文 這樣論述:

本研究導入縱橫資料平滑轉換模型引用美元指數變動率為轉換變數,估計西德州原油產量探討西德州原油價格在美元指數下之門檻效應。本研究使用的樣本期間為1983年4月8日至2021年11月12日的週資料,運用STARX模型及MATLAB R2010a工具實證研析其非線性之關係。實證結果指出,西德州原油產量變動對西德州原油價格的影響是呈現非線性的結果,並且是視轉換變數在不同的門檻區間內變動且隨時間而變化。然而,隨著西德州原油產量變數落後期的增加,影響西德州原油價格變動的效果就越大。此外,未來在西德州原油價格可能可以將近一週的原油產量資訊明顯列入投資策略的考量因素中。最後,當期美元指數變動率變化時,當期W

TI原油價格的變動率 與 WTI原油產量變動率成反方向的變動,當經過時間發效或遞延效果增加時, WTI原油價格的變動率與 WTI原油產量變動率成同方向的變動。

ASSOCIATION BETWEEN UNHEALTHY BEHAVIORS AND MENTAL HEALTH AMONG ADOLESCENTS IN TAIWAN

為了解決u.s. dollar index fu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.