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完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.advisor | 郭育良 | zh_TW |
dc.contributor.advisor | Yue Leon Guo | en |
dc.contributor.author | 程心喆 | zh_TW |
dc.contributor.author | xinzhe cheng | en |
dc.date.accessioned | 2024-02-20T16:22:50Z | - |
dc.date.available | 2024-03-21 | - |
dc.date.copyright | 2024-02-20 | - |
dc.date.issued | 2024 | - |
dc.date.submitted | 2024-01-05 | - |
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dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/91649 | - |
dc.description.abstract | 近年來,系統性動脈高血壓被認為是世界範圍內致病和死亡的最主要風險因子之一。以前的研究發現單一的血清原維生素或是維生素和血壓之間有一定相關性。然而,單個維生素往往不能解釋高血壓病情的發生和發展,同時可能忽略潛在的交互作用,因此本研究透過使用三種不同混合暴露模型針對維生素的共同暴露狀態及其對血壓的整體影響進行探討,並觀察各維生素於此共同影響下扮演的角色。因此,我們使用了來自2017-2018年美國國家健康與營養檢查調查的數據(NHANES),從1370名美國成年人中估計了13種維生素與血壓狀況之間的關係。我們使用單一暴露模型、加權分位數總和(WQS)回歸和分位數半參數G模型建立線性模型,模擬了維生素混合物的整體效應和混合物中相對重要的成分。此外, 我們還利用貝葉斯核機器回歸(BKMR)建立了非線性回歸模型,估計多種維生素共同暴露與血壓之間的相關性。單一暴露模型顯示,胡蘿蔔素和維生素D對收縮壓有負作用,而沒有維生素對舒張壓起具統計學意義之效應。在混合物總體效果估計方面,在三個不同的模型中,維生素混合物通過增加百分位數顯示出對收縮壓的明顯降低作用,而對舒張壓沒有明顯影響。 WQS模型還表明,順式和反式β胡蘿蔔素和維生素D對收縮壓的降低起著相對較爲重要作用。此外,多種維生素和血壓之間的劑量反應關係被BKMR模型所證實。與WQS模型的結果相同,13種維生素對血壓有綜合影響;風險隨著混合物水平從第10百分位到第90百分位遞減。我們的研究結果表明,13種加入的維生素以及收縮壓的降低之間存在一定關係,其中β胡蘿蔔素和維生素D相對重要。同時,順式和反式β胡蘿蔔素之間存在一定的交互作用。 | zh_TW |
dc.description.abstract | In recent years, systemic arterial hypertension has been regarded as one of the most substantial risk factors for all causes of mobility and mortality worldwide. Previous research has found some correlations between single serum vitamins and blood pressure. Because individual vitamins cannot explain the beginning and course of the disorder, it is necessary to investigate the co-exposure status of vitamins and their precursors (provitamins) as well as their overall impact on blood pressure. Therefore, we estimated the relationship between 13 vitamins and blood pressure status from 1370 American adults based on the National Health and Nutrition Examination Survey (NHANES), 2017–2018. We used a single exposure model, weighted quintile sum (WQS) regression, and g-computation to build linear models, finding the overall effect of the vitamin mixture and the relatively important components of the mixture. Furthermore, we also built nonlinear regression models using Bayesian kernel machine regression (BKMR) to estimate the functional correlation between multiple vitamin exposure and blood pressure. Single exposure model showed that carotene and vitamin D had a negative effect on systolic blood pressure, while no vitamins show a statistically significant effect on diastolic blood pressure. For overall effect estimation, among three different models, the vitamin mixture showed a significant reducing effect on systolic blood pressure by increasing percentile, while it had no significant effect on diastolic blood pressure. The WQS model also demonstrated that cis and trans beta carotene and vitamin D played a significant role in the systolic blood pressure reduction impact. Furthermore, the dose-response relationship between multiple vitamins and blood pressure was confirmed by the BKMR model. Same results as the WQS models, a combined impact of the 13 vitamins was seen on blood pressure; the risk decreased with mixture levels from the 10th to the 90th percentil. Our findings demonstrated a non-linear relationship between the 13 joined vitamins as well as the reduction in systolic blood pressure, beta-carotene and vitamin D were relatively important in this effect. Meanwhile, cis and trans beta carotene might have non-additive effects. | en |
dc.description.provenance | Submitted by admin ntu (admin@lib.ntu.edu.tw) on 2024-02-20T16:22:50Z No. of bitstreams: 0 | en |
dc.description.provenance | Made available in DSpace on 2024-02-20T16:22:50Z (GMT). No. of bitstreams: 0 | en |
dc.description.tableofcontents | 致謝 Ⅰ
中文摘要 Ⅱ Abstract Ⅲ Contents Ⅴ 圖目錄 Ⅷ 表目錄 Ⅸ Chapter1. Introduction 1 1.1 The introduction of high blood pressure. 1 1.2 Factors associated with high blood pressure. 2 1.3 Dietary nutrients and their healthy effect 3 1.3.1 Macronutrients 3 1.3.2 Micronutrients 5 1.3.3 Vitamins and provitamins 5 1.5 Research question and specific aim 8 Chapter2. Material and method 2.1Study population 10 2.2 Blood pressure status 11 2.3Serum provitamins and vitamins measurement 11 2.4 Covariates 12 2.5 Statistics 12 2.5.1 Descriptive Statistics and Single Linear Regression 12 2.5.2 WQS regression 13 2.5.3 Quantile g-computation (Q-gcomp) regression 16 2.5.4 Bayesian kernel machine regression (BKMR) 18 Chapter3. Results 20 3.1 Fundamental characteristics and provitamins and vitamins concentration detection 20 3.2. Analysis of the relationships between individual vitamins and changes in blood pressure using linear regression. 20 3.3 To evaluate the relationships between vitamin co-exposure and blood pressure using WQS models. 21 3.3.1 Overall effect of provitamins and vitamins by WQS regression 22 3.3.2 Relative important weight of provitamin and vitamin 23 3.4. Models using G-computation to evaluate the relationships between co-exposure to vitamins and blood pressure. 24 3.4.1 Overall effect of provitamins and vitamins by Q-gcomp regression 24 3.5.1 Overall effect of provitamins and vitamins using the BKMR method 26 3.5.2 Univariate relationship between each provitamin and vitamin and the outcome 27 3.5.3 Interaction of an individual factor with all other compounds in the total mixture 27 3.5.4 Interaction of an individual factor with all other covariates in the total mixture 27 3.5.5 Interaction of one individual factor with another factor 28 Chapter 4. Discussion 29 4.1 Our findings from three different co-exposure approaches 29 4.2 Beta-carotene 29 4.2.1 Basic information on beta-carotene 29 4.2.2 Protentional function of beta-carotene 30 4.2.3 Consistent results from other epidemiological studies 30 4.3 Vitamin D 31 4.3.1 Basic information about vitamin D 31 4.3.2 Protentional function of vitamin D 32 4.3.3 Consistent Results from Other Epidemiological Studies 32 4.4 The overall effect of provitamin and vitamins and the interactions 33 4.4.1 Overall effect of provitamin and vitamins 33 4.4.2 The mechanism of vitamin and provitamins 34 4.4.3 Interaction among provitamin and vitamin mixture 35 4.5 Strength and limitation 36 Chapter 5. Conclusion 37 Chapter 6. Table 38 Chapter 7. Figure 43 Chapter 8. Reference 55 | - |
dc.language.iso | en | - |
dc.title | NHANES調查2017-2018中,成年人血液中多種維生素與原維生素與共暴露血壓的相關性研究 | zh_TW |
dc.title | Associations of multiple serum vitamins and provitamins co-exposure with blood pressure among adults in NHANES, 2017–2018 | en |
dc.type | Thesis | - |
dc.date.schoolyear | 112-1 | - |
dc.description.degree | 碩士 | - |
dc.contributor.oralexamcommittee | 蘇大成;楊孝友;盧冠宏;杜裕康 | zh_TW |
dc.contributor.oralexamcommittee | TA-CHEN SU;HSIAO-YU YANG;KUAN-HUNG LU;YU-KANG TU | en |
dc.subject.keyword | 食品與營養,心血管疾病,加權分位數,貝葉斯核機器回歸,混合模型, | zh_TW |
dc.subject.keyword | Food and nutrition,Cardiovascular diseases,WQS regression,BKMR,Mix-model, | en |
dc.relation.page | 61 | - |
dc.identifier.doi | 10.6342/NTU202400005 | - |
dc.rights.note | 同意授權(全球公開) | - |
dc.date.accepted | 2024-01-08 | - |
dc.contributor.author-college | 公共衛生學院 | - |
dc.contributor.author-dept | 環境與職業健康科學研究所 | - |
顯示於系所單位: | 公共衛生碩士學位學程 |
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