系統識別號 | U0002-2607201811500500 |
---|---|
DOI | 10.6846/TKU.2018.00849 |
論文名稱(中文) | 美國心血管疾病與代謝症候群對於就業的影響 |
論文名稱(英文) | The Impact of Cardiovascular Disease and Metabolic Syndrome on Employment in the U.S. |
第三語言論文名稱 | |
校院名稱 | 淡江大學 |
系所名稱(中文) | 產業經濟學系碩士班 |
系所名稱(英文) | Department of Industrial Economics |
外國學位學校名稱 | |
外國學位學院名稱 | |
外國學位研究所名稱 | |
學年度 | 106 |
學期 | 2 |
出版年 | 107 |
研究生(中文) | 郭相君 |
研究生(英文) | Hsiang-Chun Kuo |
學號 | 606540077 |
學位類別 | 碩士 |
語言別 | 繁體中文 |
第二語言別 | |
口試日期 | 2018-06-26 |
論文頁數 | 77頁 |
口試委員 |
指導教授
-
胡登淵
委員 - 陳世能 委員 - 陳鎮洲 委員 - 胡登淵 |
關鍵字(中) |
心血管疾病 代謝症候群 就業 |
關鍵字(英) |
Cardiovascular Disease Metabolic Syndrome Employment |
第三語言關鍵字 | |
學科別分類 | |
中文摘要 |
近年來,因心血管疾病及相關危險因素的上升,加上社會變遷人口老齡化的人口變化,心血管疾病的患病率會呈現持續增長的趨勢,除了社會必須負擔龐大的醫療費用支出,也對個人生產力可能造成嚴重的負面影響,而代謝症候群是觀察一個人是否屬於罹患心血管疾病高風險族群的強烈指標,因此對於代謝症候群、心血管疾病與就業進行研究分析是有其必要。有鑑於此,本文利用美國國家健康與營養調查(National Health and Nutrition Examination Survey) 2013-2014 的資料,按男女分組估計,研究對象為18~65歲的受訪者,按勞動力定義區分為四種,分析其心血管疾病對於美國就業是否存在顯著的負面影響以及探討代謝症候群如何影響心血管疾病,進而影響就業。考量到心血管疾病及代謝症候群的潛在內生性,使用帶有工具變數的Trivariate probit 模型來估計,而所使用的工具變數為近親的遺傳因素及疾病盛行率。 實證結果顯示: 在就業定義Ⅰ、Ⅳ下的男性樣本中,心血管疾病對於就業有負向顯著影響,一旦罹患心血管疾病將使男性就業率與勞參率分別降低至41.23%與43.26%;但在女性樣本中,心血管疾病對於就業無顯著影響。同時,我們也發現,若患有代謝症候群會使男性和女性心血管疾病的患病率提高6.43%以及4.40%,而若能避免代謝症候群的發生,將可緩和男性1.07 百分點間接因心血管疾病而導致的失業率,但不管是男性與女性在代謝症候群對於心血管疾病是否存在明顯的正向影響,雖初步t檢定支持,但Trivariate probit 模型仍未能在本文實證結果證實。 此外,結果也支持不論是男性或女性若教育程度越高,其罹患心血管疾病的機率皆會降低的假說,而女性若教育程度越高,其罹患代謝症候群的機率皆會顯著降低,透過教育程度的提升,預期將具備較多健康生活的知識,可以降低代謝症候群及心血管疾病的發生,進而促進勞動生產力提升。 |
英文摘要 |
In recent years, due to the rise of cardiovascular diseases and related risk factors, as well as the aging population, the prevalence of cardiovascular diseases continue to grow, in addition to the huge medical expenses that the society must pay. It may have a seriously negative impact on personal productivity, and metabolic syndrome is a strong indicator of whether a person is in a high-risk group who may suffer from cardiovascular disease. Therefore, it of interest to analyze the impact of metabolic syndrome and cardiovascular disease on employment. In view of this, this study analyzes the National Health and Nutrition Examination Survey data of 2013-2014 wave, by gender. The study subjects are 18 to 65 years old. It anaylzes the impacts under various definitions of labor force. It investigates whether cardiovascular disease has a significant negative impact on employment in the U.S. and how metabolic syndrome affects cardiovascular disease, which in turn affects employment. It uses an trivariate probit model with the instrumental variables, including prevalence rate of diseases and genetic factors. The results show that cardiovascular disease has a negative impact on employment under labor force definitions I and IV for the male samples. Once suffering from cardiovascular disease, the male employment rate and the labor participation rate will have a 41.23 percentage point and a 43.26 percentage point decrease respectively; However, for the female sample, cardiovascular disease has no significant effect on employment. We also fing that if a person has metabolic syndrome, the prevalence of cardiovascular disease in men and women will increase by 6.43 percentage point and 4.40 percentage point, and if a persone can avoid the occurrence of metabolic syndrome, it will alleviate 1.07 percentage point of the negateive effect of cardiovascular disease on employment for men. Both for men and women, the significant positive impact of metabolic syndrome on cardiovascular disease has been confirmed by a t test but has not been confirmed by the trivariate probit model. In addition, the results also support the hypothesis if men or women have a higher level of education, their chances of suffering cardiovascular disease will decrease. If women have a higher level of education, their chances of having metabolic syndrome will be significantly reduced. Through the improvement of education level, it is expected that they will be equipped with more health knowledge, which can reduce the occurrence of metabolic syndrome and cardiovascular disease, and thus improve their labor productivity. |
第三語言摘要 | |
論文目次 |
目錄 第一章 緒論 1 第二章 文獻回顧 4 第三章 資料來源與變數定義 8 第一節 資料來源 8 第二節 資料處理 9 第三節 變數定義與敘述統計 11 第四章 實證模型設定 29 第五章 實證結果與分析 33 第六章 結論 62 第一節 結論 62 第二節 研究限制與未來研究方向 63 參考文獻 64 附錄 67 表目錄 表一 變數定義表 20 表二 敘述統計表─男性樣本(就業定義Ⅰ、Ⅳ) 24 表三 敘述統計表─女性樣本(就業定義Ⅰ、Ⅳ) 25 表四 代謝症候群各項指標之敘述統計表─男性樣本(就業定義Ⅰ、Ⅳ) 26 表五 代謝症候群各項指標之敘述統計表─女性樣本(就業定義Ⅰ、Ⅳ) 26 表六 樣本罹病比例統計表(就業定義Ⅰ、Ⅳ) 26 表七 就業預測機率(%)─Probit Estimation 27 表八 影響機率(%)─Probit Estimation 28 表九 就業比率統計表 28 表十 Trivariate probit估計結果─男性樣本 40 表十一 Trivariate probit估計結果─女性樣本 42 表十二 三元估計─男、女性樣本工具變數相關性檢定-就業定義Ⅰ 45 表十三 三元估計─男、女性樣本工具變數相關性檢定-就業定義Ⅳ 45 表十四 三元估計─男、女性樣本工具變數排除性檢定—就業定義Ⅰ 46 表十五 三元估計─男、女性樣本工具變數排除性檢定—就業定義Ⅳ 48 表十六 邊際效果─Trivariate probit 估計結果 50 表十七 Trivariate probit估計結果─男性樣本(年齡分層:50-65歲) 52 表十八 三元估計樣本工具變數相關性排除性檢定(年齡分層:50-65歲) 54 表十九 Trivariate probit估計結果─女性樣本(刪除是否有五歲以下的孩童) 55 表二十 Trivariate probit估計結果(CVD重新定義將充血性心力衰竭拿掉) 57 表二十一 Trivariate probit估計結果(放入MS到就業) 60 附表一 敘述統計表─男性樣本(就業定義Ⅱ) 67 附表二 敘述統計表─男性樣本(就業定義Ⅲ) 68 附表三 敘述統計表─女性樣本(就業定義Ⅱ) 69 附表四 敘述統計表─女性樣本(就業定義Ⅲ) 70 附表五 代謝症候群各項指標之敘述統計表─男性樣本(就業定義Ⅱ) 71 附表六 代謝症候群各項指標之敘述統計表─女性樣本(就業定義Ⅱ) 71 附表七 代謝症候群各項指標之敘述統計表─男性樣本(就業定義Ⅲ) 71 附表八 代謝症候群各項指標之敘述統計表─女性樣本(就業定義Ⅲ) 71 附表九 樣本罹病比例統計表(就業定義Ⅱ) 72 附表十 樣本罹病比例統計表(就業定義Ⅲ) 72 附表十一 三元估計─男、女性樣本工具變數相關性檢定-就業定義Ⅱ 73 附表十二 三元估計─男、女性樣本工具變數相關性檢定-就業定義Ⅲ 73 附表十三 三元估計─男、女性樣本工具變數排除性檢定—就業定義Ⅱ 74 附表十四 三元估計─男、女性樣本工具變數排除性檢定—就業定義Ⅲ 76 |
參考文獻 |
中文部分 1.陳明豐(2007)「高血壓、膽固醇和心臟病」,(健康世界叢書: 178) 2.梁妍慧(2011) 「代謝症候群、心血管疾病與就業」,碩士論文,淡江大學產業經濟研究所。 3.劉思羽(2017) 「前兆式糖尿病與型II 糖尿病對美國就業的衝擊─體重控制的緩和效果」,碩士論文,淡江大學產業經濟研究所。 英文部分 1.Ford, Earl S., Wayne H. Giles, and William H. Dietz (2002), “Prevalence of the Metabolic Syndrome Among US Adults Findings From the Third National Health and Nutrition Examination Survey”,JAMA,287(3),356-359. 2.Arupendra Mozumdar and Gary Liguori (2011), “Persistent increase of prevalence of metabolic syndrome among U.S. adults: NHANES III to NHANES 1999-2006”,Diabetes Care,34(1),216-219. 3.Justin Xavier Moore, Ninad Chaudhary, Tomi Akinyemiju (2017), “Metabolic Syndrome Prevalence by Race/Ethnicity and Sex in the United States, National Health and Nutrition Examination Survey, 1988–2012”, Preventing chronic disease,14. 4.Sullivan, P.W. and V. Ghushchyan (2007),“Cardiovascular Risk Factor Clusters and Employment in the United State”, Value in Health, 10, S52-S58. 5.Shelton Brown III, Jose A. Pagan, Elena Bastida (2005) ,“The impact of diabetes on employment: genetic IVs in a bivariate probit”,Health Economics,14(5),537-544. 6.Loureiro, Maria L., Sanz‐de‐Galdeano, Anna, Vuri, Daniela (2010) ,“Smoking habits: like father, like son, like mother, like daughter”,Oxford Bulletin of Economics and Statistics, 72(6), 717-743. 7.Harris, A. (2009) ,“Diabetes, Cardiovascular Disease and Labour Force Participation in Australia: An Endogenous Multivariate Probit Analysis of Clinical Prevalence Data”, Economic Record, 85(271),472-484. 8.Cappellari, Lorenzo, and Stephen P. Jenkins(2003) ,“Multivariate probit regression using simulated maximum likelihood”, The Stata Journal 3(3) ,278-294. 9.Alberti, K. George MM, Paul Zimmet, and Jonathan Shaw (2005) ,“The metabolic syndrome—a new worldwide definition”,The Lancet 366.9491: 1059-1062. 10.Demiral, Y., Soysal, A., Bilgin, A. C., Kiliç, B., Unal, B., UçKU, R., & Theorell, T.(2006) ,“The association of job strain with coronary heart disease and metabolic syndrome in municipal workers in Turkey”,Journal of occupational health, 48(5), 332-338. 11.Lakka, H. M., Laaksonen, D. E., Lakka, T. A., Niskanen, L. K., Kumpusalo, E., Tuomilehto, J., & Salonen, J. T. (2002) ,“The metabolic syndrome and total and cardiovascular disease mortality in middle-aged men”,Jama, 288(21), 2709-2716. 12.Kritz-Silverstein, D., Wingard, D. L., & Barrett-Connor, E. (1992) ,“Employment status and heart disease risk factors in middle-aged women: the Rancho Bernardo Study”, American Journal of Public Health, 82(2), 215-219. 13.Currie, J., & Madrian, B. C. (1999) ,“Health, health insurance and the labor market”, Handbook of labor economics, 3, 3309-3416. 14.Cai, L., & Kalb, G. (2006) ,“Health status and labour force participation: evidence from Australia”, Health economics, 15(3), 241-261. 15.Zhang, X., Zhao, X., & Harris, A. (2009) ,“Chronic diseases and labour force participation in Australia”,Journal of Health Economics, 28(1), 91-108. 16.Churilla, J. R., Fitzhugh, E. C., & Thompson, D. L. (2007) ,“The metabolic syndrome: how definition impacts the prevalence and risk in U.S. adults: 1999-2004 NHANES”, Metabolic syndrome and related disorders, 5(4), 331-342. 17.Johnson, W. D., Kroon, J. J., Greenway, F. L., Bouchard, C., Ryan, D., & Katzmarzyk, P. T. (2009) ,“Prevalence of risk factors for metabolic syndrome in adolescents: National Health and Nutrition Examination Survey (NHANES), 2001-2006”,Archives of pediatrics & adolescent medicine, 163(4), 371-377. |
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