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國立陽明交通大學 公共衛生研究所 簡莉盈所指導 翁雪珊的 受孕方式是否會影響母乳哺餵及0-13歲兒童癌症、心血管疾病及糖尿病? (2021),提出British American Tob關鍵因素是什麼,來自於人工生殖技術、體外人工受精、不孕症、受孕、兒童癌症、白血病、肝腫瘤、兒童心血管疾病、先天性心臟病、第一型糖尿病、母乳哺餵、多胞胎、周產期結果、新生兒加護病房、因果中介效應分析。

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 British American Tob的解答。

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受孕方式是否會影響母乳哺餵及0-13歲兒童癌症、心血管疾病及糖尿病?

為了解決British American Tob的問題,作者翁雪珊 這樣論述:

中文摘要 iABSTRACT ivTABLE OF CONTENTS viiiLIST OF TABLES xLIST OF FIGURES xiCHAPTER ONE: INTRODUCTION 1CHAPTER TWO: LITERATURE REVIEW 72.1. Potential mechanisms for infertility and assisted reproductive technology on childhood cancers, pediatric cardiovascular diseases, and diabet

es mellitus 72.1.1. Potential mechanisms for infertility on child health 72.1.2. Potential mechanisms for assisted reproductive technology on child health 102.2. The effect of mode of conception on childhood cancers 122.3. The effect of mode of conception on pediatric cardiovascular dise

ases and diabetes mellitus 152.4. The effect of mode of conception on early breastfeeding outcomes and potential mechanism 182.5. Study objectives and study framework 21CHAPTER THREE: METHODS 223.1. The effect of mode of conception on offspring’s health in childhood 223.2. The effect

of mode of conception on early breastfeeding 33CHAPTER FOUR: RESULTS 384.1. The effect of mode of conception on childhood cancers 384.2. The effect of mode of conception on type I diabetes mellitus 494.3. The effect of mode of conception on pediatric cardiovascular diseases 554.4. The

effect of mode of conception on early breastfeeding outcomes 69CHAPTER FIVE: DISCUSSION 775.1. The effect of mode of conception on childhood cancers 775.2. The effect of mode of conception on type 1 diabetes mellitus 825.3. The effect of mode of conception on pediatric cardiovascular di

seases 845.4. The effect of mode of conception on early breastfeeding outcomes 88CHAPTER SIX: OVERALL SUMMARY 926.1. Summary of significant findings 926.2. Study limitations 936.3. Policy implication 946.4. Future research 95References 96Appendix 112

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British American Tob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.