| 研究生: |
陳冠霖 Chen, Kuan-Lin |
|---|---|
| 論文名稱: |
運用健康信念模式探討空氣汙染與路跑賽事參賽者健康行為的影響因素 Using the health belief model to explore the influencing factors of air pollution and road race contestants' health behavior |
| 指導教授: |
周學雯
Chow, Hsueh-Wen |
| 學位類別: |
碩士 Master |
| 系所名稱: |
管理學院 - 體育健康與休閒研究所 Institute of Physical Education, Health & Leisure Studies |
| 論文出版年: | 2021 |
| 畢業學年度: | 110 |
| 語文別: | 中文 |
| 論文頁數: | 70 |
| 中文關鍵詞: | 空氣汙染 、路跑賽事 、健康信念模式 、結構方程模型 |
| 外文關鍵詞: | Air pollution, Road race, Health Belief Model, Structural Equation Modeling |
| 相關次數: | 點閱:188 下載:0 |
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國內路跑賽事蓬勃發展,每年舉辦的路跑賽事場次數百場,常態路跑人口更達百萬人以上,路跑對於參賽者的健康具有一定正面效益,但是在2010年代初期至中期國內空氣品質惡化,當時正值路跑賽事的成長期,在空氣汙染下參與路跑賽事對健康的影響逐漸受到關注。本研究旨在透過健康信念模式來探討路跑賽事參賽者面對空氣汙染時採取預防性健康行為的影響因素,並檢視各影響因素的影響力與其是否符合健康信念模式之模型假設。目的:本研究透過健康信念模式探討路跑賽事參賽者面對空氣汙染與健康行為之間的影響因素,並探討健康信念模式各構面對於健康行為構面的因果關係與解釋力,以及比較各構面之間的關係。方法:本研究使用採用問卷調查法,採用便利取樣法於網路社群媒體與路跑相關論壇投放問卷,問卷資料使用SPSS27.0與AMOS27.0統計分析套裝軟體進行分析,分析方式為敘述性統計、Kruskal-Wallis單因子變異數分析、皮爾森相關性分析與結構方程模型分析。結果:本研究經Kruskal-Wallis單因子變異數分析發現僅自身與家人是否罹患肺部疾病對於健康信念模式所有構面皆無顯著差異,其餘變項在部分構面存在差異;皮爾森相關性分析發現自覺嚴重性、自覺行動利益、行動線索與自我效能四個構面對於健康行為構面具有顯著的正相關;健康信念模式結構方程模型分析發現自覺罹患性顯著正向影響健康行為,自覺行動障礙則顯著負向影響健康行為。討論與結論:跑者在面對空氣汙染時的心理反應與一般民眾相似,自覺罹患性與自覺嚴重性之心理反應傾向與一般民眾一致呈正相關,且會因居住地區與最高學歷的不同而存在差異。自覺行動利益是一般民眾採取健康行為的重要影響因素之一,對於跑者則完全沒有影響;跑者的自覺行動障礙則與一般民眾相同,對於採取健康行為與否存在負面影響。本研究為跑者面對空氣汙染時的健康信念提供見解,跑者的自覺罹患性與自覺行動障礙是其採取健康行為的影響因素之一,為路跑賽事主辦單位、跑者與監督之政府單位提供實用資訊,並為後續相關研究進行問卷設計與模型建構時作為參考依據。
The road race is getting popular in Taiwan. Each year, hundreds of road races are held, and the regular road race population is about a million. However, air pollution in early 2010s could negatively affect road race contestants' health. Participants pay more attention to health impacts when running under air pollution. Using the health belief model, this study will examine factors that influence the preventive health behaviors of road race participants when confronted with air pollution. This study uses the health belief model to examine factors that affect road race contestants' preventive health behaviors when they are exposed to air pollution and to compare different constructs' causal relationship, explanatory power, and difference. A convenience sampling of social media and road race forums was used in this study. Data is analyzed by SPSS27.0 and AMOS27.0 statistical analysis software package. Descriptive statistics, Kruskal-Wallis ANOVA, Pearson product-moment correlation coefficient, and structural equation modeling were used to analyze the data. There were no significant differences in health belief models across all constructs in this study between self-lung diseases and family lung diseases. Based on Pearson product-moment correlation coefficients, perceived severity, perceived benefits, cues to action, and self-efficacy have a significant positive correlation with health behavior. As a result of structural equation modeling, perceived susceptibility and perceived barriers fit the default hypothesis and causal relationship of the health belief model. Public and runners have similar psychological aspects, both have a positive correlation on perceived susceptibility and perceived severity, and they differ by region and educational level. Running is not influenced by perceived benefits when it comes to preventing air pollution. When people try to follow preventive health behavior, perceived barriers are a passive influence on them. According to the study, runners' perceptions of their susceptibility to air pollution, and their perception of barriers to preventive health behavior are factors in taking preventive health measures. In addition to providing practical information for road race hosts and governments, the study provides a reference for future questionnaire design and model construction.
Andersen, J. J. (2020). Marathon Statistics 2019 Worldwide (Research). https://runrepeat.com/research-marathon-performance-across-nations
Andersen, Z. J., De Nazelle, A., Mendez, M. A., Garcia-Aymerich, J., Hertel, O., Tjønneland, A., Overvad, K., Raaschou-Nielsen, O., & Nieuwenhuijsen, M. J. (2015). A study of the combined effects of physical activity and air pollution on mortality in elderly urban residents: The danish diet, cancer, and health cohort. Environmental Health Perspectives, 123(6), 557-563.
Anderson, J. O., Thundiyil, J. G., & Stolbach, A. (2012). Clearing the air: A review of the effects of particulate matter air pollution on human health. Journal of Medical Toxicology, 8(2), 166-175.
Bickerstaff, K., & Walker, G. (2001). Public understandings of air pollution: The ‘localisation’of environmental risk. Global Environmental Change, 11(2), 133-145.
Brook, R. D., Rajagopalan, S., Pope III, C. A., Brook, J. R., Bhatnagar, A., Diez-Roux, A. V., Holguin, F., Hong, Y., Luepker, R. V., & Mittleman, M. A. (2010). Particulate matter air pollution and cardiovascular disease: An update to the scientific statement from the American Heart Association. Circulation, 121(21), 2331-2378.
Brunekreef, B., & Holgate, S. T. (2002). Air pollution and health. The Lancet, 360(9341), 1233-1242.
Carlisle, A., & Sharp, N. (2001). Exercise and outdoor ambient air pollution. British Journal of Sports Medicine, 35(4), 214-222.
Chang, K.-H., & Ou, Y.-C. (2019). Ambient air pollution: An important global issue. 童綜合醫學雜誌, 13(1), 1-4.
Chang, S.-C., & Lee, C.-T. (2007). Evaluation of the trend of air quality in Taipei, Taiwan from 1994 to 2003. Environmental Monitoring and Assessment, 127(1), 87-96.
Chen, M.-F., Wang, R.-H., Schneider, J. K., Tsai, C.-T., Jiang, D. D.-S., Hung, M.-N., & Lin, L.-J. (2011). Using the health belief model to understand caregiver factors influencing childhood influenza vaccinations. Journal of Community Health Nursing, 28(1), 29-40.
Chen, Y., & Liu, X. (2021). Determinants of beijing residents’ intentions to take protective behaviors against smog: An application of the health belief model. Health Communication, 1-13.
Chin, W. W. (1998). Commentary: Issues and opinion on structural equation modeling. MIS Quarterly, 7-16.
Cohen, J. (1994). The earth is round (p<. 05). American Psychologist, 49(12), 997.
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50.
George, D., & Mallery, M. (2003). Using SPSS for Windows step by step: A simple guide and reference.
Giles, L. V., & Koehle, M. S. (2014). The health effects of exercising in air pollution. Sports Medicine, 44(2), 223-249.
Gliem, J. A., & Gliem, R. R. (2003). Calculating, interpreting, and reporting Cronbach’s alpha reliability coefficient for Likert-type scales. 2003 Midwest Research to Practice Conference in Adult, Continuing, and Community Education.
Granella, F. (2021). You can’t run from air pollution: The effect of fine particulate matter on physical tasks. SSRN 3893692.
Green, E. C., Murphy, E. M., & Gryboski, K. (2020). The health belief model. The Wiley Encyclopedia of Health Psychology, 211-214.
Guo, M., & Fu, S. (2019). Running with a mask? The effect of air pollution on marathon runners’ performance. Journal of Sports Economics, 20(7), 903-928.
Hair, J. F. (2009). Multivariate data analysis.
Hodgson, A., & Hitchings, R. (2018). Urban air pollution perception through the experience of social practices: Talking about breathing with recreational runners in London. Health & Place, 53, 26-33.
Hou, W.-H., Huang, Y.-C., Lu, C.-Y., Chen, I., Lee, P.-C., Lin, M.-Y., Wang, Y.-C., Sulistyorini, L., & Li, C.-Y. (2021). A national survey of ambient air pollution health literacy among adult residents of Taiwan. BMC Public Health, 21(1), 1-11.
Hsu, C.-H., & Cheng, F.-Y. (2019). Synoptic weather patterns and associated air pollution in Taiwan. Aerosol and Air Quality Research, 19(5), 1139-1151.
Hu, L., Zhu, L., Xu, Y., Lyu, J., Imm, K., & Yang, L. (2017). Relationship between air quality and outdoor exercise behavior in China: A novel mobile-based study. International Journal of Behavioral Medicine, 24(4), 520-527.
Iftikhar, M., & Yousaf, M. (2021). The Impact of climate change coverage on public adherence towards health threat: An empirical validation of the health belief model. SJESR, 4(2), 402-413.
Janz, N. K., & Becker, M. H. (1984). The health belief model: A decade later. Health Education Quarterly, 11(1), 1-47.
Kampa, M., & Castanas, E. (2008). Human health effects of air pollution. Environmental Pollution, 151(2), 362-367.
Katsouyanni, K. (2003). Ambient air pollution and health. British Medical Bulletin, 68(1), 143-156.
Khani Jeihooni, A., Askari, A., Kashfi, S. M., Khiyali, Z., Kashfi, S. H., Safari, O., Rastegarimehr, B., & Mansourian, M. (2017). Application of health belief model in prevention of osteoporosis among primary school girl students. International Journal of Pediatrics, 5(11), 6017-6029.
Kim, J., & Kim, Y. (2021). What predicts korean citizens’ mask-wearing behaviors? Health beliefs and protective behaviors against particulate matter. International Journal of Environmental Research and Public Health, 18(6), 2791.
Kim, J. J. (2004). Ambient air pollution: Health hazards to children. Pediatrics, 114(6), 1699-1707.
Likert, R. (1932). A technique for the measurement of attitudes. Archives of Psychology.
Noroozi, F., Eisapareh, K., Bahadori, A., Ghahremani, L., Cousins, R., & Mokarami, H. (2020). Development and validation of dust exposure prevention questionnaire for cardiovascular patients based on the health belief model. BMC Public Health, 20(1), 1-11.
Oltra, C., & Sala, R. (2018). Perception of risk from air pollution and reported behaviors: A cross-sectional survey study in four cities. Journal of Risk Research, 21(7), 869-884.
Pasqua, L. A., Damasceno, M. V., Cruz, R., Matsuda, M., Garcia Martins, M., Lima-Silva, A. E., Marquezini, M., Saldiva, P. H. N., & Bertuzzi, R. (2018). Exercising in air pollution: The cleanest versus dirtiest cities challenge. International Journal of Environmental Research and Public Health, 15(7), 1502.
Ramírez, O., Mura, I., & Franco, J. F. (2017). How do people understand urban air pollution? Exploring citizens’ perception on air quality, its causes and impacts in Colombian cities. Open Journal of Air Pollution, 6(1), 1-17.
Reames, T. G., & Bravo, M. A. (2019). People, place and pollution: Investigating relationships between air quality perceptions, health concerns, exposure, and individual-and area-level characteristics. Environment International, 122, 244-255.
Rosenstock, I. M. (1974). Historical origins of the health belief model. Health Education Monographs, 2(4), 328-335.
Rosenstock, I. M., Strecher, V. J., & Becker, M. H. (1988). Social learning theory and the health belief model. Health Education Quarterly, 15(2), 175-183.
Rundell, K. W. (2012). Effect of air pollution on athlete health and performance. British Journal of Sports Medicine, 46(6), 407-412.
Rundell, K. W., & Caviston, R. (2008). Ultrafine and fine particulate matter inhalation decreases exercise performance in healthy subjects. The Journal of Strength & Conditioning Research, 22(1), 2-5.
Saunders, G. H., Frederick, M. T., Silverman, S., & Papesh, M. (2013). Application of the health belief model: Development of the hearing beliefs questionnaire (HBQ) and its associations with hearing health behaviors. International Journal of Audiology, 52(8), 558-567.
Sciomer, S., Gallina, S., Mattioli, A., Agostoni, P., & Moscucci, F. (2021). Slow and steady wins the race: Better walking than running. The turtle's lesson in the times of COVID-19. Heart & Lung, 50(5), 587.
Stieb, D. M., Shutt, R., Kauri, L., Mason, S., Chen, L., Szyszkowicz, M., Dobbin, N. A., Rigden, M., Jovic, B., & Mulholland, M. (2017). Cardio-respiratory effects of air pollution in a panel study of outdoor physical activity and health in rural older adults. Journal of Occupational and Environmental Medicine, 59(4), 356.
Veloz, D., Gonzalez, M., Brown, P., Gharibi, H., & Cisneros, R. (2020). Perceptions about air quality of individuals who work outdoors in the San Joaquin Valley, California. Atmospheric Pollution Research, 11(4), 825-830.
Wang, F., Yuan, Y., & Lu, L. (2021). Dynamical prediction model of consumers’ purchase intentions regarding anti-smog products during smog risk: Taking the information flow perspective. Physica A: Statistical Mechanics and its Applications, 563, 125427.
Wynd, C. A., Schmidt, B., & Schaefer, M. A. (2003). Two quantitative approaches for estimating content validity. Western Journal of Nursing Research, 25(5), 508-518.
Zoladz, J. A., & Nieckarz, Z. (2021). Marathon race performance increases the amount of particulate matter deposited in the respiratory system of runners: An incentive for “clean air marathon runs”. PeerJ, 9, e11562.
王淑美、胡均立、謝承憲(2010)。探討台灣地區移動污染源與空氣品質之環境顧志耐曲線。農業與資源經濟,7(1),55-72。
江宙君(2007)。海陸風對台灣沿海地區空氣品質之影響。中央大學大氣物理研究所學位論文,1-137。
行政院環境保護署(2020)。中華民國空氣品質監測報告109年年報。
吳修旻(2009)。南台灣空氣品質長期趨勢分析。成功大學環境工程學系學位論文,1-718。
杜文苓、施佳良(2019)。挑戰空汙:初探社區行動科學的在地實踐。傳播研究與實踐,9(1),1-32。
林灼榮、陳鶴文、林師模、莊旻潔(2019)。PM_ (2.5) 監測模型之建構與減量模擬:以台中市監測站為例。生物產業科技管理叢刊,7,1-25。
施佳良、杜文苓(2019)。台灣空污治理的挑戰:反空污行動凸顯的未竟知識。國家發展研究,19(1),1-41。
洪麗如(2013)。以細懸浮微粒(PM2.5)作為代表標記探討台灣交通空氣污染和乳癌、卵巢癌死亡風險的關係。高雄醫學大學職業安全衛生研究所學位論文,1-109。
涂鵬斐、陳金宏、陳盈幸、楊子孟、林東興(2017)。2016年台灣路跑活動運動統計-台灣路跑趨勢分析。臺中科大體育學刊(13),187-195。
張立農、江孟玲、林昭遠(2015)。台灣交通空氣品質監測站PM10變異影響因素之研究。Journal of Soil and Water Conservation,47(1),1235-1246。
陳永洲。(2018)。路跑賽事與運動觀光。運動管理(39),47-57。
黃乙芹、侯文萱、呂芊曄、李岳蓁、李佩珍、陳怡臻、林明彥、王毓正、李中一(2021)。台灣成年民眾之室外空氣污染健康識能調查。台灣公共衛生雜誌,40(5),479-493。
楊之遠(2001)。大陸沙塵暴影響台灣地區空氣品質之監測與預報。物理雙月刊,13(3),416-421。
劉照金(2014)。臺灣路跑運動觀光之發展現況與展望。運動管理(23),68-84。
劉照金、許玫琇、陳志明、莊哲仁(2015)。臺灣路跑賽事參與者與當地居民對效益、衝擊、支持及永續發展認知之比較研究。嘉大體育健康休閒期刊, 14(3),1-15。
蔡欣汝、陳致廷、王家麟、戴忠良、陳宜佳、劉文治(2021)。工業都會區之環境大氣有害空氣污染物濃度特徵。燃燒季刊(114),75-88。
蔡黛華(2008)。都會區空氣污染:交通相關排放源之形成機制、暴露評估與其健康影響。
蔡黛華(2009)。都會區空氣污染:交通相關排放源之形成機制、暴露評估與其健康影響。
謝瑞豪、李睿桓、詹長權(2016)。台灣大氣中PM_ (2.5)污染濃度和汙染源的時空分布。台灣醫學,20(4),367-376。
校內:2027-01-26公開