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完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.advisor | 鄭尊仁 | |
dc.contributor.author | Yuan Horng Yan | en |
dc.contributor.author | 嚴元鴻 | zh_TW |
dc.date.accessioned | 2021-06-13T06:02:43Z | - |
dc.date.available | 2006-08-03 | |
dc.date.copyright | 2006-08-03 | |
dc.date.issued | 2006 | |
dc.date.submitted | 2006-06-21 | |
dc.identifier.citation | Reference for Introduction:
1. Encyclopaedia of Occupational Health and Safety. Vol. 1. Geneva, Switzerland: International Labor Office, pp. 34.1-34.77. 2. Stress at work, United States National Institute of Occupational Safety and Health, Cincinnati, 1999. 3. Guidance on work-related stress: Spice of life - or kiss of death, European Commission, Directorate-General for Employment and Social Affairs, 2000 4. Managing stress at work, United Kingdom Health and Safety Commission, London, 1999. 5. Uehata T. Karoshi, death by overwork Nippon Rinsho. 2005 Jul;63(7):1249-53. Review. Japanese. 6. Sokejima S, Kagamimori S. Working hours as a risk factor for acute myocardial infarction in Japan: Case-control study. BMJ. 1998;317:775-780. 7. Liu Y, Tanaka H; Fukuoka Heart Study Group. Overtime work, insufficient sleep, and risk of non-fatal acute myocardial infarction in Japanese men. Occup Environ Med. 2002 Jul;59(7):447-51. 8. Kawachi I, Colditz G, Stampfer M, et al. Prospective study of shift work and risk of coronary heart disease in women. Circulation. 1995; 92:3178-3183. 9. Fahlen G, Knutsson A, Peter R, Akerstedt T, Nordin M, Alfredsson L, Westerholm P. Effort-reward imbalance, sleep disturbances and fatigue. Int Arch Occup Environ Health. 2006 May;79(5):371-8. 10. Karasek R, Theorell T. Healthy Work. Stress, Productivity and the Reconstruction of Working Life. New York: Basic Books, 1990. 11. Siegrist J. Adverse health effects of high-effort/ low-reward conditions. J Occup Health Psychol. 1996;1:27-41. 12. Karasek R, Baker D, Marxer F, Ahlbom A, Theorell T. Job decision latitude, job demands and cardiovascular disease: A prospective study of Swedish men. Am J Public Health. 1981;71: 694-705. 13. Siegrist J, Peter R, Junge A, Cremer P, Seidel D. Low status control, high effort at work and ischemic heart disease: prospective evidence from blue-collar men. Soc Sci Med. 1990;31:1127–1134. 14. Lee S, Colditz G, Berkman L, Kawachi I. A prospective study of job strain and coronary heart disease in US women. Int J Epidemiol 31:1147-53, 2002 15. Kannel WB, McGee D, Gordon T. A general cardiovascular risk profile: the Framingham study. Am J Cardiol. 1976;38:46-51. 16. Kannel WB, Neaton JD, Wentworth D, Thomas HE, Stamler J, Hulley SB, Kjelsberg MO. Overall and coronary heart disease mortality rates in relation to major risk factors in 325,348 men screened for the MRFIT. Am Heart J. 1986;112:825-836. 17. Marmot MG, Rose G, Shipley M, Hamilton PJS. Employment grade and coronary heart disease in British civil servants. J Epidemiol Community Health. 1978;32:244-249. 18. Pocock SJ, Cook DJ, Shaper AG, Phillips AN, Walker M. Social class differences in ischemic heart disease in British men. Lancet. 1987;2:197-201. 19. Lynch J, Krause N, Kaplan GA, Tuomilehto J, Salonen JT. Workplace conditions, socioeconomic status, and the risk of mortality and acute myocardial infarction: the Kuopio ischemic heart disease risk factor study. Am J Public Health 1997; 87: 617-622 20. Hebert PR, Buring JE, O'Connor GT, Rosner B, Hennekens CH. Occupation and risk of nonfatal myocardial infarction. Arch Intern Med. 1992;152:2253-2257. 21. Kaplan GA, Keil JE. Socioeconomic factors and cardiovascular disease: a review of the literature. Circulation. 1993;88:1973-1998. 22. Claude Lenfant Conference on Socioeconomic Status and Cardiovascular Health and Disease Circulation, Nov 1996; 94: 2041 - 2044. 23. Van Amelsvoort LGPM, Kant IJ, Bültmann U, et al. Need for recovery after work and the subsequent risk of cardiovascular disease in a working population. Occup Environ Med 2003;60:83–7. 24. Strine TW, Chapman DP. Associations of frequent sleep insufficiency with health-related quality of life and health behaviors. Sleep Med. 2005 Jan;6(1):23-7. 25. Dembe AE, Erickson JB, Delbos RG, Banks SM. The impact of overtime and long work hours on occupational injuries and illnesses: new evidence from the United States. Occup Environ Med. 2005 Sep;62(9):588-97. Reference for manuscript 1 : 1. Vital Statistics, Department of Health, Executive Yuan of Taiwan, 2004. 2. Cheng Y, Chen KJ, Wang CJ, Chan SH, Chang WC, Chen JH. Secular trends in coronary heart disease mortality, hospitalization rates, and major cardiovascular risk factors in Taiwan, 1971-2001.Int J Cardiol. 2005;100(1):47-52. 3. Maron DJ, Ridker PM, Pearson TA. Risk Factors and the Prevention of Coronary Heart Disease. Hurst’s The Heart, 9th ed. McGraw-Hill Companies, Inc. 1998. 4. Smith TW, Ruiz JM. Psychosocial influences on the development and course of coronary heart disease: current status and implications for research and practice. J Consult Clin Psychol. 2002;70(3):548-68. 5. Rozanski A, Blumenthal JA, Kaplan J. Impact of psychological factors on the pathogenesis of cardiovascular disease and implications for therapy. Circulation. 1999;99(16):2192-217. 6. Krantz DS, McCeney MK. Effects of psychological and social factors on organic disease: a critical assessment of research on coronary heart disease. Annu Rev Psychol. 2002;53:341-69. 7. Falger PR, Schouten EGW. Exhaustion, psychological stressors in the work environment, and acute myocardial infarction in adult men. J Psychosom Res 1992;36:777–86. 8. Netterstrom B, Nielsen FE, Kristensen TS, et al. Relation between job strain and myocardial infarction: a case-control study. Occup Environ Med 1999;56:339–42. 9. Theorell T, Rahe RH. Behavior and life satisfactions characteristics of Swedish subjects with myocardial infarction. J Chron Dis 1972;25:139–47. 10. Sokejima S, Kagamimori S. Working hours as a risk factor for acute myocardial infarction in Japan: case-control study. BMJ 1998;317:775–80. 11. Liu Y, Tanaka H; Fukuoka Heart Study Group. Overtime work, insufficient sleep, and risk of non-fatal acute myocardial infarction in Japanese men. Occup Environ Med. 2002;59(7):447-51. 12. Tochikubo O. Ikeda A. Miyajima E. Ishii M. Effects of insufficient sleep on blood pressure monitored by a new multibiomedical recorder. Hypertension. 1996 27:1318-24. 13. Kageyama T. Nishikido N. Kobayashi T. Kurokawa Y. Kabuto M. Commuting, overtime, and cardiac autonomic activity in Tokyo. Lancet. 1997;350:639. 14. Pilcher JJ, Lambert BJ, Huffcutt AI. Differential effects of permanent and rotating shifts on self-report sleep length: a meta-analytic review. Sleep. 2000;23:155-63. 15. Bigert C , Gustavsson P, Hallqvist J, et al. Myocardial infarction among professional drivers. Epidemiology 2003;14:333–9. 16. Hannerz H, Tüchsen F. Hospital admission among male drivers in Denmark. Occup Environ Med 2001;58:253–60. 17. Hallqvist J, Lundberg M, Diderichsen F, et al. Socioeconomic differences in risk of myocardial infarction 1971–1994 in Sweden: time trends, relative risks and population attributable risks. Int J Epidemiol 1998;27:410–15. 18. Hammar N, Alfredsson L, Smedberg M, et al. Differences in the incidence of myocardial infarction among occupational groups. Scand J Work Environ Health 1992;18:178–85. 19. Gustavsson P, Alfredsson L, Brunnberg H, et al. Myocardial infarction among male bus, taxi, and lorry drivers in middle Sweden. Occup Environ Med 1996;53:235–40. 20. Netterstrøm B, Finn EN, Kristensen TS, et al. Relation between job strain and myocardial infarction: a case-control study. Occup Environ Med 1999;56:339–42. 21. Morris JN, Kagan A, Pattison DC, Chave SPW, Semmence AM. Incidence and prediction of ischemic heart disease in London busman. Lancet. 1966;2:533-559. 22. P. R. Pomrehn; R. B. Wallace; L. F. Burmeister Ischemic heart disease mortality in Iowa farmers. The influence of life-style JAMA. 1982;248:1073-1076. 23. Taylor HL, Blackburn H, Keys A, Parlin RW, Vasquez C, Puchner T. Coronary heart disease in seven countries. IV. Five-year follow-up of employees of selected U.S. railroad companies. Circulation. 1970;41(4 Suppl):I20-39. 24. Menotti A, Puddu V. Ten-year mortality from coronary heart disease among 172,000 men classified by occupational physical activity. Scand J Work Environ Health. 1979;5(2):100-8. 25. Berlin JA, Colditz GA. A meta-analysis of physical activity in the prevention of coronary heart disease. Am J Epidemiol. 1990;132(4):612-28. 26. Kaplan GA, Keil JE. Socioeconomic factors and cardiovascular disease: a review of the literature. Circulation. 1993;88:1973-1998. 27. Claude Lenfant Conference on Socioeconomic Status and Cardiovascular Health and Disease Circulation, Nov 1996;94: 2041 - 2044. 28. http://www.nhlbi.nih.gov/about/framingham/riskabs.htm 29. Anderson KM, Wilson PW, Odell PM, et al. An updated coronary risk profile: a statement for health professionals. Circulation. 1991;83: 356–362. 30. Lang T, Ducimetiére P, Arveiler D, et al. Incidence, case fatality, risk factors of acute coronary heart disease and occupational categories in men aged 30–59 in France. Int J Epidemiol 1997;26:47–57. 31. Tüchsen F, Andersen O, Costa G, et al. Occupation and ischemic heart disease in the European Community: a comparative study of occupations at potential high risk. Am J Ind Med 1996;30:407–14. 32. Malinauskiene V, Grazuleviciene R, Nieuwenhuijsen MJ, Azaraviciene A. Myocardial infarction risk and occupational categories in Kaunas 25-64 year old men. Occup Environ Med. 2002;59(11):745-50 33. V Malinauskiene, T Theorell, R Grazuleviciene, R Malinauskas, and A Azaraviciene Low job control and myocardial infarction risk in the occupational categories of Kaunas men, Lithuania J. Epidemiol. Community Health, 2004; 58(2): 131 - 135. Reference for manuscript 2 : 1. Bureau of Labor Statistics, U.S. Department of Labor, Occupational Outlook Handbook, 2006-07 Edition, Computer Software Engineers, on the Internet at www.bls.gov/oco/ocos267.htm (visited April 12, 2006). 2. Liu Y. Tanaka H. The Fukuoka Heart Study Group. Overtime work, insufficient sleep, and risk of non-fatal acute myocardial infarction in Japanese men. Occupational & Environmental Medicine. 59:447-51, 2002 3. Sokejima S, Kagamimori S.. Working hours as a risk factor for acute myocardial infarction in Japan: case-control study. BMJ ;317:775-80, 1998 4. Kageyama T. Nishikido N. Kobayashi T. Kurokawa Y. Kabuto M. Commuting, overtime, and cardiac autonomic activity in Tokyo. Lancet. 350:639, 1997. 5. Nishikitani M, Nakao M, Karita K, Nomura K, Yano E. Influence of overtime work, sleep duration, and perceived job characteristics on the physical and mental status of software engineers. Ind Health. 2005 Oct;43(4):623-9. 6. Akerstedt T, Knutsson A, Westerholm P, Theorell T, Alfredsson L, Kecklund G. Mental fatigue, work and sleep. J Psychosom Res. 2004 Nov;57(5):427-33. 7. Åkerstedt T, Fredlund P, Gillberg M, Jansson B Work load and work hours in relation to disturbed sleep and fatigue in a large representative sample. J Psychosom Res 2002, 53:585–588 8. Åkerstedt T, Knutsson A, Westerholm P, Theorell T, Alfredsson L, Kecklund G Sleep disturbances, work stress and work hours—a cross-sectional study. J Psychosom Res 2002, 53:741–74 9. Fahlen G, Knutsson A, Peter R, Akerstedt T, Nordin M, Alfredsson L, Westerholm P. Effort-reward imbalance, sleep disturbances and fatigue. Int Arch Occup Environ Health. 2006 May;79(5):371-8. 10. Strine TW, Chapman DP. Associations of frequent sleep insufficiency with health-related quality of life and health behaviors. Sleep Med. 2005 Jan;6(1):23-7. 11. D.J. Buysse, C.F. Reynolds III, T.H. Monk, S.R. Berman and D.J. Kupfer, The Pittsburgh sleep quality index: a new instrument for psychiatric practice and research, Psychiatry Res 28 (1989), pp. 193–213. 12. J.S. Carpenter and M.A. Andrykowski, Psychometric evaluation of the Pittsburgh Sleep Quality Index, J Psychosom Res 45 (1998), pp. 5–13. 13. J. Backhaus, K. Junghanns, A. Broocks, D. Riemann and F. Hohagen, Test–retest reliability and validity of the Pittsburgh Sleep Quality Index in primary insomnia, J Psychosom Res 53 (2002), pp. 737–740. 14. Jansen NWH, Kant IJ, van Amelsvoort LGPM, et al. Need for recovery from work: evaluating short-term effects of working hours, patterns and schedules. Ergonomics 2003;46:664–80. 15. Sluiter JK, De Croon EM, Meijman TF, et al. Need for recovery from work related fatigue and its role in the development and prediction of subjective health complaints. Occup Environ Med 2003;60:62i–70i. 16. Westman M, Eden D. Effects of a respite from work on burnout: vacation relief and fade-out. J Appl Psychol 1997;82:516–27. 17. Van Amelsvoort LGPM, Kant IJ, Bültmann U, et al. Need for recovery after work and the subsequent risk of cardiovascular disease in a working population. Occup Environ Med 2003;60:83–7. 18. Bergqvist U, Wolgast E, Nilsson B, et al. Musculoskeletal disorders among visual display terminal workers: individual, and work organizational factors. Ergonomics 1995;38:763–76. 19. Van Veldhoven MJPM, Meijman TF. Het meten van psychosociale arbeidsbelasing met een vragenlijst: de Vragenlijst Beleving en Beoordeling van de Arbeid (VBBA)[Questionnaire on psychosocial job demands and job stress]. Amsterdam: NIA, 1994. 20. De Vries J, Michielsen HJ, Van Heck GL. Assessment of fatigue among working people: a comparison of six questionnaires. Occup Environ Med 2003;60:10i–5i. 21. The WHOQOL Group. The World Health Organization quality of life assessment (WHOQOL): development and general psychometric properties. Soc Sci Med 1998;6:1569–85. 22. The WHOQOL Group. Development of the World Health Organization WHOQOL-BREF quality of life assessment. Psychol Med 1998;8:551–8. 23. Yao G, Chung CW, Yu CF, et al. Development and verification of validity and reliability of the WHOQOL-BREF Taiwan version. J Formos Med Assoc 2002;01:342–51. 24. Sparks K, Cooper C, Fried Y, et al. The effects of hours of work on health: a meta-analytic review. J Occup Organ Psychol 1997;70:391–408. 25. Van der Hulst M. Long workhours and health. Scand J Work Environ Health 2003;29:171–88. | |
dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/34315 | - |
dc.description.abstract | 1. 工作相關因子與心血管疾病風險研究:教育程度的角色
心血管疾病是台灣地區重要的死亡原因之一,已知的危險因子只能解釋30-40%的疾病,近來研究顯示工作壓力與心血管疾病可能有關,但之間的關係仍不清楚。本研究為橫斷性研究,探討工作相關因子與心血管疾病的關係。我們收集239名參加醫院健檢男性之理學及生化檢查值,以問卷測量工作中活動量、輪班、工時、工作類別、睡眠品質等資料,另以「Need for Recovery Scale」衡量疲勞程度。Framingham Risk Score (FRS) 被廣泛使用在冠狀動脈心臟病的風險評估,所以本研究依照FRS將個案分為心血管疾病低危險群 (10Year CHD Risk <5%) 及高危險群 (Risk >5%)。另外,社經地位為重要的心血管疾病危險因子,所以將個案依教育程度分為低學歷組(高中以下)及高學歷組(大專以上)。分析發現 : 在工作類別部分,以管理專業階層為對照組,高學歷組中白領階級及自營業具有較高的心血管疾病危險對比值,低學歷組則相反 ; 而在工時部份,低學歷組中高危險群之工時高於低危險群,高學歷組中則相反。此外,疲勞程度及睡眠品質在兩組間亦有差異。研究結果顯示心血管疾病與工作型態之相關受到社經地位的影響,要釐清工作相關因子與心血管疾病的關係需要進一步研究。 2. 軟體工程師的睡眠對疲勞與生活品質影響之研究 軟體工程師是一群具有高學歷、高專業技能的專業人員,會努力工作以反映個人價值,對工作過度投入並注重績效,同時享受工作帶來的成就感,但也因此經常超時工作,犧牲個人的休息及睡眠,其工作特性,不容易以工時來界定或探討,睡眠可能比較能反映其工作壓力,過去研究指出睡眠時數與生活品質有關,工時比較無關。工作壓力可導致疲勞並影響生活品質,本研究進一步探討工時、睡眠品質對軟體工程師疲勞程度與生活品質之影響,以橫斷式研究,針對239名某高科技公司軟體工程師 (男性佔73%,平均年齡32歲,70%未婚) 進行問卷調查研究。睡眠品質以匹茲堡睡眠品質量表指標 (Pittsburgh Sleep Quality Index) 測量,包括主觀的睡眠品質、睡眠潛伏期、睡眠困擾、白天功能及使用安眠藥等,工作疲勞程度以疲勞恢復問卷 (Need for Recovery) 中文版問卷進行評估,生活品質採用台灣版世界衛生組織生活品質問卷 (WHOQOL-BREF) 進行研究。結果發現,員工平均每週工作時間為48.4小時,工作日平均睡眠時間6.6小時,休假日平均睡眠時間8.5小時,疲勞程度平均分數為41分,男性員工在生活品質生理、心理、社會關係及環境四大範疇平均得分為13.8+/-1.8, 12.8+/-2.1, 13.5+/-1.8 和 13.5+/-1.6;女性員工為14.4+/-2.1, 13.3+/-2.2, 13.6+/-2.1 和 13.6+/-2.0。睡眠品質指標越差(主觀感覺較差、睡眠潛伏期長、有睡眠困擾、會影響白天功能及有使用安眠藥),則疲勞程度顯著較高,而生活品質在不同性別及範疇(社會及環境範疇較不一致)分數均顯著較低,工時則與疲勞程度及生活品質較無相關。研究結果顯示對軟體工程師而言,尤其是女性,睡眠比工時更能夠反應工作壓力及其影響,不過限於研究對象人數較少,工作、睡眠、疲勞程度與生活品質之間的複雜關係需要進一步研究。 | zh_TW |
dc.description.abstract | 1. Education as a possible modifying factor on the relationship between work-related factors and cardiovascular risk
The association between cardiovascular diseases (CVD) and work-related factors has been studied with inconsistent results. We conducted a cross-sectional study to further investigate the relationship between several work-related factors and cardiovascular risk. A total of 239 men who received health examination in one medical center were enrolled and their basic data, physical examination results and biochemical values were collected. We used questionnaires to measure work-related factors including occupational categories, work hours, activity at work and sleep quality. We divided our subjects into low (10 Year CHD Risk<5%) and high (>5%) risk groups by Framingham Risk Score (FRS), which has been used to represent the risk of coronary heart disease. Since socioeconomic status (SES) is an important risk factor for CVD, the analysis on the association between cardiovascular risk and work-related factors was further stratified by the variable of education. In the high education group, white collar workers had higher cardiovascular risk than managers/professionals (OR=3.2, p<0.05), while the self-employed workers did not have higher OR. In the low education group, OR for cardiovascular risk were lower for all job categories as compared to managers/professionals. High risk group had longer work hours than low risk group in the low education group, while the trend was opposite in the high education group. Further, the cardiovascular risk for activity at work and sleep quality were different between high and low education groups. Our results suggest the relationship between work-related factors and CVD may be modified by education level. 2. Association of Sleep with Fatigue and Quality of Life in Software Engineers Software engineers are knowledge workers of professional skills with high education level. They are over-commitment to work and put their leisure and sleep time to work. The work characteristic of software engineers is not easy to be investigated only by working time. Sleep seems a better indicator to reflect work stress. Work stress can lead to fatigue and influence quality of life (QOL). Previous studies have indicated sleeping hours is related to QOL. To investigate the impact of sleep quality on fatigue status and QOL in software engineers, we conducted a cross-sectional study on 239 workers (male workers:73%, average age:32 years old, 70% single) in an information-technology (IT) company. The psychophysical outcome of fatigue status was assessed using the Need for Recovery questionnaire (NFR). Quality of sleep was directly asked using the indicators of Pittsburgh Sleep Quality Index (PSQI) including subjective sleep quality, sleep latency, sleep disturbance, use of sleep medication, day-time dysfunction and sleep duration. QOL was estimated by World Health Organization quality of life instrument (WHOQOL-BREF). Results revealed sleep quality was significantly related with fatigue status and QOL. Poor sleep quality was associated with high fatigue status and low QOL scores. Working time was weak related to fatigue and QOL. Our findings suggest that work hours and sleep quality representing work stress were associated with the fatigue status and QOL of software engineers. Sleep quality may be a better indicator for work stress and its influence than working time. To maintain the lower fatigue status and higher quality of life, it may be necessary to monitor their sleep quality in addition to their working time. Further studies are needed to clarify the relationships of work stress, work hours, sleep, fatigue and QOL. | en |
dc.description.provenance | Made available in DSpace on 2021-06-13T06:02:43Z (GMT). No. of bitstreams: 1 ntu-95-R92841010-1.pdf: 385893 bytes, checksum: 68d987e0ffa8ba6613db13cb25c6fa91 (MD5) Previous issue date: 2006 | en |
dc.description.tableofcontents | TABLE OF CONTENTS …………………………………………………….. i
ACKNOLEDGEMENT ……………………………………………………… iii CHINESE ABSTRACT ……………………………………………………… v ABSTRACT ………………………………………………………………….. vii 1. INTRODUCTION ………………………………………………………… 1 1.1 RESEARCH OBJECTIVES ………………………………………... 1 1.2 BACKGROUND…………………………………………………… 2 1.2.1 STRESS AT WORK ………………………………………… 2 1.2.2 DEFINITION OF WORK STRESS ………………………… 2 1.2.3 MEASUREMENT OF WORK STRESS ……………………. 2 1.2.4 WORK STRESS AND HEALTH …………………………… 5 1.3 REFERENCE ……………………………………………………….. 9 2. MANUSCRIPT 1 ………………………………………………………….. 13 2.1 EDUCATION AS A POSSIBLE MODIFYING FACTOR ON THE RELATIONSHIP BETWEEN WORK RELATED FACTORS AND CARDIOVASCULAR DISEASES ………………………………... 13 2.1.1 ABSTRACT …………………………………………………. 13 2.1.2 INTRODUCTION …………………………………………... 14 2.1.3 STUDY DESIGN AND POPULATION ……………………. 16 2.1.4 RESULTS ……………………………………………………. 18 2.1.5 DISCUSSION ……………………………………………….. 20 2.1.6 REFERENCE ………………………………………………... 24 2.1.7 TABLES ……………………………………………………... 28 3. MANUSCRIPT 2 ………………………………………………………….. 35 3.1 ASSOCIATION OF SLEEP WITH FATIGUE AND QUALITY OF LIFE IN SOFTWARE ENGINEERS ……………………………… 35 3.1.1 ABSTRACT …………………………………………………. 35 3.1.2 INTRODUCTION …………………………………………... 36 3.1.3 STUDY DESIGN AND POPULATION …………………… 38 3.1.4 RESULTS ……………………………………………………. 41 3.1.5 DISCUSSION ……………………………………………….. 43 3.1.6 REFERENCE ………………………………………………... 47 3.1.7 TABLES ……………………………………………………... 50 4. WORK STRESS AND HEALTH : CONCLUSIONS AND THOUGHTS FOR FUTURE STUDIES………………………………………………….. 59 Appendix 1 : Questionnaire for manuscript 1 ……………………………… 61 Appendix 2 : Questionnaire for manuscript 2 ................................................ 65 | |
dc.language.iso | en | |
dc.title | 工作壓力與健康之研究:
1. 工作相關因子與心血管疾病風險研究:教育程度的角色 2. 軟體工程師的睡眠對疲勞與生活品質影響之研究 | zh_TW |
dc.title | STUDY OF WORK STRESS AND HEALTH:
1.ASSOCIATION OF WORK-RELATED FACTORS AND CARDIOVASCULAR RISK : EDUCATION AS A POSSIBLE MODIFYING FACTOR 2.ASSOCIATION OF SLEEP WITH FATIGUE AND QUALITY OF LIFE IN SOFTWARE ENGINEERS | en |
dc.type | Thesis | |
dc.date.schoolyear | 94-2 | |
dc.description.degree | 碩士 | |
dc.contributor.oralexamcommittee | 鄭雅文,陳保中,陳仲達 | |
dc.subject.keyword | 工作壓力,心血管疾病,教育程度,睡眠,疲勞,生活品質, | zh_TW |
dc.subject.keyword | Work stress,Cardiovascular diseases,Education,Sleep,Fatigue,Quaity of life, | en |
dc.relation.page | 71 | |
dc.rights.note | 有償授權 | |
dc.date.accepted | 2006-06-21 | |
dc.contributor.author-college | 公共衛生學院 | zh_TW |
dc.contributor.author-dept | 職業醫學與工業衛生研究所 | zh_TW |
顯示於系所單位: | 職業醫學與工業衛生研究所 |
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