臺灣人文及社會科學引文索引資料庫系統

:::

詳目顯示

回上一頁
第 1 筆 / 總合 1 筆   第一頁 上一頁 下一頁 最後一頁
/1頁
題名：應用健康信念模式預測民用航空產業員工預防COVID-19行為之研究
作者：房家儀
作者(外文)：Fang, Chia-Yi
校院名稱：國立臺灣師範大學
系所名稱：健康促進與衛生教育學系
指導教授：胡益進
學位類別：博士
出版日期：2023
主題關鍵詞：航空產業員工；健康信念模式；自我效能；創傷後壓力症候群；預防行為；aviation industry employees；Health Belief Model；Self-efficacy；Post-Traumatic Stress Disorder；Preventive behaviors
原始連結：連回原系統網址new window
相關次數：
  • 被引用次數被引用次數:期刊(0) 博士論文(0) 專書(0) 專書論文(0)
  • 排除自我引用排除自我引用:0
  • 共同引用共同引用:0
  • 點閱點閱:2
2019 年COVID-19的出現，航空運輸被認為是「2019新型冠狀病毒」傳播的主要驅動力之一，除了航空勞動力首當其衝外，少有研究探討航空公司員工在面臨未知傳染病威脅時的影響因素。
本研究應用健康信念模式探討航空產業員工COVID-19預防行為、創傷後壓力症候群現況及相關的影響因素，以便利抽樣方式進行網路及紙本問卷調查，回收有效問卷共計583 份。對於COVID-19知識在性別、職務、工作前須檢測上呈現顯著。獨立樣本t檢定、ANOVA結果顯示在對COVID-19預防行為上不會因為研究對象的社會人口學變項而有所差異。皮爾森積差相關分析指出，研究對象的預防行為與自覺嚴重性、自覺利益性、行動線索以及自我效能呈正相關，其中以自我效能 ( p<.001) 最具相關。創傷後壓力症候群在健康信念上與自覺嚴重性及自覺障礙性呈正相關、與自覺利益性、行動線索、預防行為等則呈現負相關。以預防行為作為依變項，透過線性迴歸分析，可以解釋的變異量為59.5%（R2= 0.595），且變異數分析達統計顯著。在社會人口學變項中性別、年齡、婚姻狀態、及健康信念模式、行動線索對預防行為有顯著影響，其中以行動線索、自覺利益性影響力最大。總體而言，這些結果表明，儘管存在差異，但預防行為的執行率非常高，同時創傷後壓力症候群的結果也顯示心理健康有受到影響。
With the emergence of COVID-19 in 2019, air transportation is one of the main drivers of the spread of the "2019 Novel Coronavirus". The aviation industry has been greatly affected. However, few studies have explored the influencing factors of aviation industry employees in the face of unknown infectious disease threats.
This study applies the Health Belief Model to investigate COVID-19 prevention behavior, post-traumatic stress disorder (PTSD) after the pandemic, and related influencing factors among employees in the aviation industry. The research employed a convenience sampling method to conduct both online and paper-based questionnaire surveys, with a total of 583 valid questionnaires collected. The analysis revealed that the knowledge of COVID-19 was significantly associated with gender, position, and pre-job testing. However, no differences in the prevention behavior of COVID-19 were observed due to the sociodemographic variables of the research subjects, as indicated by the independent sample t-test and ANOVA results. Furthermore, Pearson's correlation coefficient analysis demonstrated a positive correlation between the research subjects' preventive behavior and their perceived severity, perceived benefits, action cues, and self-efficacy. Notably, self-efficacy showed the strongest correlation (p < .001). Regarding Health Belief Model, post-traumatic stress syndrome displayed positive correlations with perceived severity and perceived barriers, while exhibiting negative correlations with perceived benefits, action cues, and preventive behaviors. To ascertain the predictive factors of preventive behavior, linear regression analysis was performed with preventive behavior as the dependent variable. The results indicated that 59.5% of the variation could be explained (R2 = 0.595), and the variance analysis was statistically significant. The results of this study also showed that gender, age, marital status, Health Belief Model, and action cues could effectively predict preventive behavior.
In conclusion, the research demonstrated that despite no significant differences in preventive behaviors based on sociodemographic variables, overall implementation of preventive measures was remarkably high. However, the study also revealed that post-traumatic stress disorder had a notable impact on mental health.
王國川 (1998)。修改後健康信念模式測量理論基礎之探討-以青少年無照騎車之研究為例。教育心理學報，30(2)，101-121。https://doi.org/10.6251/BEP.19980927.1

毛月玲 (2014)。新竹縣國小高年級學童口腔衛生行為及其相關因素之研究 [未出版之碩士論文]。臺灣師範大學健康促進與衛生教育研究所。

李蘭 (2010)。健康行為與健康教育。出版社：巨流圖書公司，出版日期：2010/06/11 P8-9

李昇達 (2022)。某公司員工之COVID-19防疫行為現況及相關因素研究-健康信念模式為例 [未出版之碩士論文]。臺灣師範大學健康促進與衛生教育研究所。

李羿萱 (2023)。應用健康信念模式探討大專院校學生進行 COVID-19 之預防行為 [未出版之碩士論文]。臺灣亞洲大學健康產業管理學系。

陳曉悌、李怡娟、李汝禮 (2003)。健康信念模式之理論源起與應用。台灣醫學，7(4)，632-639。https://doi.org/10.6320/FJM.2003.7(4).20

朱琳、季莉莉、楊國平、甄世祺、金輝崔、婷婷、徐燕 (2021)。新型冠狀病毒肺炎公眾防護意識與行為調查分析。華南預防醫學，47(2)，202-206。

朱銀潮、馮偉宏、羅穎芝、賀天鋒、羅望偉 (2020)。寧波市居民新型冠狀病毒肺炎知信行調查。預防醫學，32(3)。

呂美華 (2021)。以健康信念模式分析台灣民眾新冠肺炎之預防行為 [未出版之碩士論文]。弘光科技大學健康事業管理研究所。取自台灣博碩士論文知識加值系統。https://hdl.handle.net/11296/9nzh4a

呂淳瑜 (2020)。知覺旅遊風險、健康信念、預防態度與行為之研究-以新冠病毒為例 [未出版之碩士論文]。銘傳大學。取自台灣博碩士論文知識加值系統。https://hdl.handle.net/11296/65mf7q

李守義 (1989)。健康信念回顧與前瞻。公共衛生學會雜誌，9(3)，123-137。https://doi.org/10.6288/JNPHARC1989-09-03-02

李介民 (2021)。航空業第一線員工之工作心理研究 [未出版博士論文]。中國文化大學。取自台灣博碩士論文知識加值系統。引用https://hdl.handle.net/11296/t2n5n8

李政益、郭宏偉、許建邦 (2021)。COVID-19疫苗接種後對國際疫情趨勢影響之評析疫情報導，37(11)，153~174。https://doi.org/10.6524/EB.202106_37(11).0001

邱皓政 (2019)。量化研究與統計分析（六版）。五南圖書出版股份有限公司。

陳婉青(2021)。COVID-19 疫苗系列專欄： 接種疫苗後的保護力可以持續多久？疫情報導，37(23)，364-366。https://doi.org/10.6524/EB.202112_37(23).0003

陳秉暉、孫惠鈺、陳宗延 (2021)。職業因素引起嚴重特殊傳染性肺炎(COVID-19)認定參考指引。勞動部職業安全衛生署。 https://shorturl.at/hpqAS

郭宗賢、郭彥谷、李喻薇、魏筱昀 (2021)。「偽出國」知覺旅遊風險影響預防行為之探討。觀光與休閒管理期刊，9，39-47。https://doi.org/10.6510/JTLM.202108/SP_9.0004

許藏菁、吳佳鉛、賴霈妤、薛伶珊、賴怡因、柯乃熒 (2020)。照顧一位COVID-19病人在隔離期間之護理經驗。護理雜誌，67(3)，111-119。https://www.twna.org.tw/WebUploadFiles/DocFiles/1612_15.pdf

張業妍 (2020)。武漢及周邊城市居民對新冠肺炎的知識行調查分析。服務科學與管理，9(4)，270-276。https://doi.org/10.12122/j.issn.1673-4254.2020.05.20 〔Hu, Y., Zhang, G. Li Z., Yang, J., Mo, L., Zhang, X., Xiong, L., Wu, W., Mao, C., & Yang, X. (2020). [Knowledge, attitudes, and practices related to COVID-19 pandemic among residents in Hubei and Henan Provinces]. Nan Fang Yi Ke da Xue Xue Bao., 40(5):733-740. Chinese.〕

趙恩、陳國緯、李思賢 (2021)。台灣公民面對新冠肺炎疫情初期之焦慮症狀與防疫作為之趨勢。台灣公共衛生雜誌，40(1)，83-96。http://dx.doi.org/10.6288%2fTJPH.202102_40(1).109115

衛生福利部疾病管制署 (2023a，5月2日)。嚴重特殊傳染病肺炎工作手冊第一版。2023年6月14日取自https://www.cdc.gov.tw/File/Get/1zKc0_aSgs1RProDmOkNkQ

衛生福利部疾病管制署 (2023b，6月12日)。新聞稿及疫情訊息全球-嚴重特殊傳染性肺炎。2023年6月14日取自https://www.cdc.gov.tw/TravelEpidemic/Detail/4x3Ks7o9L_pvqjGI6c5N1Q?epidemicId=ZdxvnmMPHeZtQZ_YQ0VbSw

衛生福利部疾病管制署 (2023c)。疫苗接種統計資料。2023年6月10
日取自https://www.cdc.gov.tw/File/Get/LkOyVDts2XqHo9nNfQYIKg

衛生福利部疾病管制署 (2023d，4月30日)。COVID-19 防疫關鍵決策網。2023年6月14日取自https://covid19.mohw.gov.tw/ch/mp-205.html

衛生福利部疾病管制署 (2020a)。衛生福利部邊境政策。2021年10月19日取自https://covid19.mohw.gov.tw/ch/cp-4838-53625-205.html


衛生福利部疾病管制署 (2020a，4月27日)。嚴重特殊傳染性肺炎/疾病介紹。 https://www.cdc.gov.tw/Category/Page/vleOMKqwuEbIMgqaTeXG8A

衛生福利部疾病管制署 (2020b)。因應國內疫情進入社區流行階段 全醫療量能 指揮中心宣布四大醫療應變策略。2021年5月11日取自https://www.cdc.gov.tw/Category/ListContent/EmXemht4IT-IRAPrAnyG9A?uaid=PHRzem5q4pU7_vHvVdCmRw

衛生福利部疾病管制署 (2021b)。COVID-19 防疫關鍵決策時間軸。2021年10月19日取自
https://covid19.mohw.gov.tw/ch/cp-4822-61184-205.html

衛生福利部疾病管制署 (2022)。COVID-19全球疫情地圖。2022年10月26日取自
https://covid19.nchc.org.tw/dt_002csse_covid_19_daily_reports_vaccine_city2.php

衛生福利部疾病管制署 (2021a，7月)。新興傳染病暨流感大流行應變整備及邊境檢疫計畫。 2023年06月14日取自https://www.cdc.gov.tw/Uploads/4a40138e-4d4a-4c2f-b747-b718ccca3254.pdf

國立臺灣大學醫學院附設醫院精神醫學部 (2015年，6月)。衛生福利部心理衛生專輯(18)-創傷、壓力與精神健康。衛生福利部。https://www.mohw.gov.tw/dl-1737-eef9c2c8-bb34-462a-b50b-4535ff9d27e4.html

外文部份
Al-Raddadi, R., Bahabri, N., & AlRaddadi, Z. (2023) Perceived COVID-19 Severity, Risk of Infection, and Prevention Self-Efficacy in Saudi Arabia During Lockdown: A Population-Based National Study. J Epidemiol Glob Health., 13(1),32-46. https://doi.org/10.1007/s44197-022-00083-z. Epub 2023 Jan 21. PMID: 36680701; PMCID: PMC9867541.

Alagili, DE, & Bamashmous, M. (2021) The Health Belief Model as an explanatory framework for COVID-19 prevention practices. J Infect Public Health.,14(10),1398-1403. https://doi.org/10.1016/j.jiph.2021.08.024. PMID: 34462221; PMCID: PMC8386094.

Arnarson, BT. (2021). How a school holiday led to persistent COVID-19 outbreaks in Europe. Sci Rep, 11(1), 24390.
https:// doi.org/10.1038/s41598-021-03927-z

Bandura, A. (1977). Self-efficacy: toward a unifying theory of behavioral change. Psychol Rev., 84(2), 191-215. https://doi.org/10.1037//0033-295x.84.2.191. PMID: 847061.

Bandura, A. (1997). Self-efficacy: The exercise of control. W H Freeman/Times Books/ Henry Holt & Co.

Bazant, MZ., & Bush JWM. (2021). A guideline to limit indoor airborne transmission of COVID-19. Proc Natl Acad Sci U S A., 118(17)., e2018995118. https://doi.org/ 10.1073/pnas.2018995118. PMID: 33858987; PMCID: PMC8092463.

Barakat, A.M., & Kasemy, Z.A. (2020). Preventive health behaviours during coronavirus disease 2019 pandemic based on health belief model among Egyptians. Middle East Curr Psychiatry, 27, 43 https://doi.org/10.1186/s43045-020-00051-y

Bajoulvand, R., Hashemi, S., Askari, E., Mohammadi, R., Behzadifar, M., & Imani-Nasab, MH. (2022). Post-pandemic stress of COVID-19 among high-risk groups: A systematic review and meta-analysis. J Affect Disord., 319,638-645. https://doi.org/ 10.1016/j.jad.2022.09.053. Epub 2022 Sep 27. PMID: 36174783; PMCID: PMC9512530.

Bavel, JJV., Baicker, K., Boggio, PS., Capraro, V., Cichocka, A., Cikara, M., Crockett, MJ., Crum, AJ., Douglas, KM., Druckman, JN., Drury, J., Dube, O., Ellemers, N., Finkel, EJ., Fowler, JH., Gelfand, M., Han, S., Haslam, SA., Jetten, J., Kitayama, S., & …Willer, R. (2020). Using social and behavioural science to support COVID-19 pandemic response. Nat Hum Behav.,4(5),460-471. https://doi.org/10.1038/s41562-020-0884-z. Epub 2020 Apr 30. PMID: 32355299.

Bechard, LE., Bergelt, M., Neudorf, B., DeSouza, TC., Middleton, & LE. (2021). Using the Health Belief Model to Understand Age Differences in Perceptions and Responses to the COVID-19 Pandemic. Frontiers in Psychology,12, 609893. https://doi.org/ 10.3389/fpsyg.2021.609893. PMID: 33935865; PMCID: PMC8082183.

Becker, M.H., & Maiman L.A. (1975). Sociobehavioral determinants of compliance with health medical care recommendations. Medical Care, 13(1). 10-24. https://www.jstor.org/stable/376321

Bielecki, M., Patel, D., Hinkelbein, J., Komorowski, M., Kester, J., Ebrahim, S., Rodriguez-Morales, AJ., Memish, ZA., & Schlagenhauf P. (2021). Air travel and COVID-19 prevention in the pandemic and peri-pandemic period: A narrative review. Travel Medicine and Infectious Disease, 39,101915.
https:// doi.org/10.1016/j.tmaid.2020.101915

Bonsaksen, T., Heir, T., Schou-Bredal, I., Ekeberg, Ø., Skogstad, L., & Grimholt, TK. (2020) Post-Traumatic Stress Disorder and Associated Factors during the Early Stage of the COVID-19 Pandemic in Norway. Int J Environ Res Public Health., 17(24), 9210. https://doi.org/10.3390/ijerph17249210. PMID: 33317135; PMCID: PMC7764050.

Bovin, MJ., Marx, BP., Weathers, FW., Gallagher, MW., Rodriguez, P., Schnurr, PP., & Keane, TM. (2016). Psychometric properties of the PTSD Checklist for Diagnostic and Statistical Manual of Mental Disorders-Fifth Edition (PCL-5) in veterans. Psychol Assess., 28(11),1379-1391. https://doi.org/10.1037/pas0000254. Epub 2015 Dec 14. PMID: 26653052.

Brooks, SK., Webster, RK., Smith, LE., Woodland, L., Wessely S., Greenberg, N., & Rubin, GJ. (2020). The psychological impact of quarantine and how to reduce it: rapid review of the evidence. Lancet., 395(10227), 912-920. https://doi.org/10.1016/S0140-6736(20)30460-8. Epub 2020 Feb 26. PMID: 32112714; PMCID: PMC7158942.

Budd, L., Morag, Bell. & Brown, T. (2009). Of plagues, planes and politics: Controlling the global spread of infectious diseases by air. Political Geography, 28(7), 426–435.
https:// doi.org/10.1016/j.polgeo.2009.10.006

Cahill J., Cullen P. & Gaynor, K. (2023). The case for change: aviation worker wellbeing during the COVID 19 pandemic, and the need for an integrated health and safety culture. Cognition, Technology & Work, 25(1), 75–117. https://doi.org/10.1007/s10111-022-00711-5

Cahill, J., Cullen, P., Answer, S., Wilson, S., & Gaynor, K. (2021, March 12). White Paper: Impact of COVID 19 Pandemic on Aviation Workers & The Aviation System. Trinity College Center for Innovative Human Systems. https://www.tcd.ie/cihs/assets/pdf/projects/covid-whitepaper.pdf.

Cascella, M., Rajnik, M., Aleem A., Dulebohn, SC., Di Napoli, R. (Eds.). (2023) Features, Evaluation, and Treatment of Coronavirus (COVID-19). [Updated 2023 Jan 9]. In: StatPearls [Internet]. Treasure Island (FL): StatPearls Publishing; 2023 Jan-. Available from: https://www.ncbi.nlm.nih.gov/books/NBK554776/

Chan, EYY., Huang, Z., Lo, ESK., Hung, KKC., Wong, ELY., & Wong, SYS. (2020). Sociodemographic Predictors of Health Risk Perception, Attitude and Behavior Practices Associated with Health-Emergency Disaster Risk Management for Biological Hazards: The Case of COVID-19 Pandemic in Hong Kong, SAR China. International Journal of Environmental Research and Public Health 17(11), 3869. https://doi.org/10.3390/ijerph17113869.

Costa, MF. (2020). Health belief model for coronavirus infection risk determinants. Rev Saude Publica., 54, 47. https://doi.org/10.11606/s1518-8787.2020054002494. Epub 2020 May 20. PMID: 32491096; PMCID: PMC7190095

Delshad, NA., Mohammadzadeh, F., Yoshany, N., & Javanbakht, S. (2021). The prevalence of preventive behaviors and associated factors during the early phase of the COVID-19 pandemic among Iranian People: Application of a Health Belief Model. J Prev Med Hyg., 62(1), E60-E66. https://doi.org/10.15167/2421-4248/jpmh2021.62.1.1622. PMID: 34322618; PMCID: PMC8283637.

Ferreira, Maria José., Sofia., Rui, Carreno, David F., Eisenbeck Nikolett., Jongenelen, Inês., & Cruz José, Fernando A. (2021). Dealing with the Pandemic of COVID-19 in Portugal: On the Important Role of Positivity, Experiential Avoidance, and Coping Strategies. Frontiers in Psychology, 12. https://doi.org/10.3389/fpsyg.2021.647984

Flynn, CF., King, RE., Bor, R., & Tvaryanas, (2022). A. Mental health implications for aviators from COVID-19. REACH.,27-28,100050. https://doi.org/ 10.1016/j.reach.2022.100050. Epub 2022 Oct 30. PMCID: PMC9617686.

Flight Safety Foundation. (2020). An aviation professionals guide to wellbeing.
https://flightsafety.org/wp-content/uploads/2020/04/Guide-to-Wellbeing.pdf

Glanz, K., & Rimer, B.K., & Viswanath, K. (2008). Health behavior and health education: Theory, Research, and Practice (4th ed, pp.45-62.) San Francisco: John Wiley & Sons.

Galea, S., Nandi, A., & Vlahov, D. (2005). The epidemiology of post-traumatic stress disorder after disasters. Epidemiologic Reviews, 27(1), 78–91. https://doi.org/ 10.1093/epirev/mxi003. PMID: 15958429.

Görlich, Y., & Stadelmann D. (2020). Mental Health of Flying Cabin Crews: Depression, Anxiety, and Stress Before and During the COVID-19 Pandemic. Frontiers Psychology ,17(11), 581496. https://doi.org/10.3389/ fpsyg. 2020.581496. PMID: 33391100

Guo, M., Tao, W., Flavell, R.A., & Zhu S. (2021) Potential intestinal infection and faecal–oral transmission of SARS-CoV-2. Nat Rev Gastroenterol Hepato, 18(4), 269–283. https://doi.org/10.1038/s41575-021-00416-6

Han, H., Koo, B., Ariza-Montes, A., Lee, Y., & Kim, HR. (2021). Are airline workers planning career turnover in a post-COVID-19 world? Assessing the impact of risk perception about virus infection and job instability. Journal of Hospitality and Tourism Management, 48, 460-467. https://doi.org/10.1016/j.jhtm.2021.08.003

Harris, E. (2023) WHO Declares End of COVID-19 Global Health Emergency. JAMA., 329(21), 1817. doi:10.1001/jama.2023.8656

Hilditch, CJ. & Flynn-Evans, EE. (2022). Fatigue, Schedules, Sleep, and Sleepiness in U.S. Commercial Pilots During COVID-19. Aerosp Med Hum Perform, 93(5), 433-441. doi:10.3357/AMHP.6031.2022.

Hiroki, Nakamura., & Shunsuke, Managi. (2020). Airport risk of importation and exportation of the COVID-19 pandemic. Transport Policy, 96, 40-47.
https://doi.org/10.1016/j.tranpol.2020.06.018

International Air Transport Association. (2021, December). Air Passenger Market Analysis. Retrieved from: https://www.iata.org/en/iata-repository/publications/economic-reports/air-passenger-monthly-analysis---december-2021/. Accessed: 27 March, 2022.

Janz, NK., Becker, MH. (1984). The Health Belief Model: a decade later. Health Educ Q. 11(1):1-47. https://doi.org/10.1177/109019818401100101. PMID: 6392204.

Jeong, Yeo-Won., & Jung-Ha Kim. (2022). Depression, Anxiety, Stress and Anger of the Cabin Crew during the COVID-19 Pandemic in South Korea. Healthcare, 10(10), 1952. https://doi.org/10.3390/ healthcare10101952

Jose, R., Narendran, M., Bindu, A., Beevi, N., L, M., & Benny, PV. (2021). Public perception, and preparedness for the pandemic COVID 19: A Health Belief Model approach. Clinical Epdemiology and Global Health, 9,41-46. https://doi.org/10.1016/j.cegh.2020.06.009

Kamran, A., Isazadehfar, K., Heydari, H., Nasimi Doost Azgomi, R., & Naeim, M. (2021). Risk perception and adherence to preventive behaviours related to the COVID-19 pandemic: A community-based study applying the health belief model. BJPsych Open,7(4), E133. https://doi.org/10.1192/bjo.2021.954

Karimy, M., Bastami, F., Sharifat, R., Heydarabadi, AB., Hatamzadeh, N., Pakpour, AH., Cheraghian, B., Zamani-Alavijeh, F., Jasemzadeh, M., & Araban, M. (2021). Factors related to preventive COVID-19 behaviors using health belief model among general population: a cross-sectional study in Iran. BMC Public Health, 21(1),1934. https://doi.org/10.1186/s12889-021-11983-3

Kang, S-E., Lee, C-Ki., Moon, Y-J., Park, Y-N., & Suess, C. (2021). Impact of CSR on Organizational Behavior during a Pandemic: Highlighting Public Health and Safety in the Airline Industry. Sustainability, 13(17), 9704. https://doi.org/10.3390/su13179704

Karkala, A., Moschonas, S., Sykas, G., Karagianni, M., Gilou, S., Papaefthymiou, O., & Kourtidou-Papadeli, C. (2022). Sleep Quality and Mental Health Consequences of COVID-19 Pandemic in the Aviation Community in Greece. J Occup Environ Med, 64(9), e567-e574. https://doi.org/10.1097/JOM.0000000000002616. Epub 2022 Jul 28. PMID: 35902374; PMCID: PMC9426318.

Kim, S., & Kim, S. (2020). Analysis of the Impact of Health Beliefs and Resource Factors on Preventive Behaviors against the COVID-19 Pandemic. Environmental Research and Public Health, 17, 8666 https://doi.org/10.3390/ijerph17228666

Kim, HY., Shin, SH., & Lee, EH. (2022). Effects of Health Belief, Knowledge, and Attitude toward COVID-19 on Prevention Behavior in Health College Students. Int J Environ Res Public Health., 19(3),1898. https://doi.org/ 10.3390/ijerph19031898. PMID: 35162919; PMCID: PMC8834839.

Krejcie, R.V. & Morgan, D.W. (1970) Determining Sample Size for Research Activities. Educational and Psychological Measurement, 30, 607-610. https://doi.org/10.1177/001316447003000308

Mangili, A., & Gendreau, MA. (2005). Transmission of infectious diseases during commercial air travel. Lancet, 365(9463), 989-96. https://doi.org/10.1016/S0140-6736(05)71089-8

Maneenop, S, & Kotcharin, S. (2020). The impacts of COVID-19 on the global airline industry: An event study approach. J Air Transp Manag., 89, 101920. https://doi.org/10.1016/j.jairtraman.2020.101920.

Mao, Y., Chen, H., Wang, Y., Chen, S., Gao, J., Dai, J., Jia, Y., Xiao, Q., Zheng, P., & Fu, H. (2021). How can the uptake of preventive behaviour during the COVID-19 outbreak be improved? An online survey of 4827 Chinese residents. BMJ Open., 11(2), e042954. https://doi.org/ 10.1136/bmjopen-2020-042954. PMID: 33593779; PMCID: PMC7887866.

Mattioli, AV., Sciomer, S., Cocchi, C., Maffei, S., & Gallina, S. (2020). Quarantine during COVID-19 outbreak: Changes in diet and physical activity increase the risk of cardiovascular disease. Nutr Metab Cardiovasc Dis., 30(9),1409-1417. https://doi.org/10.1016/j.numecd.2020.05.020. Epub 2020 May 30. PMID: 32571612; PMCID: PMC7260516.

Mazza, C., Ricci, E., Biondi, S., Colasanti, M., Ferracuti, S., Napoli, C., & Roma, P. (2020). A Nationwide Survey of Psychological Distress among Italian People during the COVID-19 Pandemic: Immediate Psychological Responses and Associated Factors. Environmental Research and Public Health,17(9), 3165. https://doi.org/10.3390/ijerph17093165. PMID: 32370116; PMCID: PMC7246819.

McNeely, E., Gale, S., Tager, I., Kincl L., Bradley, J., Coull, B., & Hecker, S. (2014). The self-reported health of U.S. flight attendants compared to the general population. Environ Health., 13(1),13. https://doi.org/10.1186/1476-069X-13-13. PMID: 24612632; PMCID: PMC4007523.

Mirzaei, A., Kazembeigi, F., Kakaei, H., Jalilian, M., Mazloomi, S., & Nourmoradi, H. (2021). Application of health belief model to predict COVID-19-preventive behaviors among a sample of Iranian adult population. J Educ Health Promot.,10(69). https://doi.org/10.4103/jehp. jehp_747_20. PMID: 34084816; PMCID: PMC8057168.

Moghadas, SM., Vilches, TN., Zhang, K., Wells, CR., Shoukat A., Singer, BH., Meyers, LA., Neuzil, KM., Langley, JM., Fitzpatrick, MC., Galvani, AP. (2021). The impact of vaccination on COVID-19 outbreaks in the United States. medRxiv, 11(27), 20240051. https://doi.org/10.1101/2020.11.27.20240051. Update in: Clin Infect Dis. 2021, 73(12), 2257-2264.

National Institute of Mental Health. (2023). Post-Traumatic Stress Disorder Retrieved from: https://www.nimh.nih.gov/health/topics/post-traumatic-stress-disorder-ptsd Accessed: 15 June, 2023.

Nishimi, K., Borsari, B., Marx, BP., Tripp, P., Woodward, E., Rosen, RC., Cohen, BE., Maven, D., Jiha, A., Woolley, JD., Neylan, TC., & O'Donovan, A. (2022). posttraumatic stress disorder symptoms associated with protective and risky behaviors for coronavirus disease 2019. Health Psychol. 41(2), 104-114. doi: 10.1037/hea0001157. PMID: 35238581; PMCID: PMC8932400.

Nunnally, J.C. (1978). Psychometric Theory. 2nd. Edition. New York: McGraw-Hill.

Obrenovic, B., Du, J., Godinić, D., Baslom., MMM. & Tsoy, D. (2021). The Threat of COVID-19 and Job Insecurity Impact on Depression and Anxiety: An Empirical Study in the USA. Frontiers in Psychology, 12,648572. https://doi.org/10.3389/fpsyg.2021.648572

Phebe, T., & Christopher, S. C. (2021). Post-COVID Stress Disorder: Another Emerging Consequence of the Global Pandemic. Psychiatric Times., 38(1). https://www.psychiatrictimes.com/view/post-covid-stress-disorder-emerging-consequence-global-pandemic

Pieh, C., Budimir, S., & Probst, T. (2020). The effect of age, gender, income, work, and physical activity on mental health during coronavirus disease (COVID-19) lockdown in Austria. J Psychosom Res.,136,110186. https://doi.org/10.1016/ j. jpsychores. 110186. PMID: 32682159; PMCID: PMC7832650.

Queen, D., & Harding K. (2020). Societal pandemic burnout: A COVID legacy. Int Wound J.,17(4),873-874. https://doi.org/10.1111/iwj.13441. PMID: 32628363; PMCID: PMC7362153.

Rosenstock, I. M. (1974). Historical Origins of the Health Belief Model. Health Education Monographs, 2(4), 328-335. https://doi.org/10. 1177/109019817400200403

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. https://doi.org/10.1177/109019818801500203

Schwarzer, R., & Fuchs, R. (1996). Self-Efficacy and Health Behaviours
https://userpage.fu-berlin.de/gesund/publicat/conner9.htm

Saha, K., Torous, J., Caine, ED., & De Choudhury, M. (2020). Psychosocial Effects of the COVID-19 Pandemic: Large-scale Quasi-Experimental Study on social media. J Med Internet Res., 22(11), e22600. https://doi.org/10.2196/22600. PMID: 33156805; PMCID: PMC7690250

Shahnazi, H., Ahmadi-Livani, M., Pahlavanzadeh, B., Rajabi, A., Hamrah, MS., & Charkazi, A. (2020). Assessing Preventive Health Behaviors from COVID 19 Based on the Health Belief Model (HBM) among People in Golestan Province: A Cross-Sectional Study in Northern Iran. Infectious disease of poverty, 9,157. https://doi.org/10.1186/s40249-020-00776-2

Shewasinad, YS., Asefa, KK., Mekonnen, AG., Gemeda, BN., Shiferaw, WS., Aynalem, YA., Bilchut, AH., Derseh, BT., Mekuria, AD., Mekonnen, WN., Meseret, WA., Tegegnework, SS., & Abosetegn, AE. (2021). Predictors of adherence to COVID-19 prevention measure among communities in North Shoa Zone, Ethiopia based on health belief model: A cross-sectional study. PLOS ONE, 16(1), e0246006. https://doi.org/ 10.1371/journal.pone.0246006

Sobkow, A., Zaleskiewicz, T., Petrova, D., Garcia-Retamero, R, T& raczyk, J. (2020). Worry, risk perception and controllability predict intentions toward COVID-19 preventive behaviors. Forntiers in Psychology,11,582720. https://doi.org/10.3389/fpsyg.2020.582720. PMID: 33329239; PMCID: PMC7710521.

Suau-Sanchez, P., Voltes-Dorta, A., & Cugueró-Escofet, N. (2020). An early assessment of the impact of COVID-19 on air transport: Just another crisis or the end of aviation as we know it? J. Transp Geogr., 86, 102749. https://doi.org/10.1016/j.jtrangeo.2020.102749

Šuriņa, S., Martinsone, K., Perepjolkina, V., Kolesnikova, J., Vainik, U., Ruža, A., Vrublevska, J., Smirnova, D., Fountoulakis, KN., & Rancans, E. (2021). Factors Related to COVID-19 Preventive Behaviors: A Structural Equation Model. Front Psychol.,12, 676521. https://doi.org/10.3389/fpsyg.2021.676521. PMID: 34290652; PMCID: PMC8288024.

Sun, L., Yi B., Pan, X., Wu, L., Shang, Z., Jia, Y., Tao, X., Zhao, F., Xie, W., Sun, Z., Bai, Y., Liu, W. (2021). Prevalence and risk factors for acute posttraumatic stress disorder during the COVID-19 outbreak. Journal of Affective Disorders, 283,123-129. https://doi.org/10.1016/j.jad.2021. 01.050

Tadesse, T., Alemu, T., Amogne, G., Endazenaw, G., & Mamo, E. (2020). Predictors of Coronavirus Disease 2019 (COVID-19) Prevention Practices Using Health Belief Model Among Employees in Addis Ababa, Ethiopia, Infection and Drug Resistance.,13,3751-3761. https://doi.org/10.2147/IDR.S275933. PMID: 33122922; PMCID: PMC7588498.

TMGH-Global COVID-19 Collaborative. (2021) Perceived Stress of Quarantine and Isolation During COVID-19 Pandemic: A Global Survey. Front Psychiatry.,12,656664. https://doi.org/10.3389/ fpsyt.2021. 656664. PMID: 34113270; PMCID: PMC8186534.

Tsamakis, K., Tsiptsios, D., Ouranidis, A., Mueller, C., Schizas, D., Terniotis, C., Nikolakakis, N., Tyros, G., Kympouropoulos, S., Lazaris, A., Spandidos, DA., Smyrnis, N., & Rizos, E. (2021). COVID-19 and its consequences on mental health (Review). Exp Ther Med., 21(3),244. https://doi.org/10.3892/etm.2021.9675. Epub 2021 Jan 22. PMID: 33603852; PMCID: PMC7851613.

Vadon, NB., Elek, LP., Szigeti, M., Erdelyi-Hamza, B., Smirnova, D., Fountoulakis, KN., & Gonda, X. (2022). Association between Lifestyle- and Circadian Rhythm-Related Changes, and Different Depression Symptom Clusters during COVID-19. Psychiatr Danub,34(8),81-89. PMID: 36170708.

Wang, C, Pan, R, Wan, X, Tan, Y, Xu, L, Ho, CS, & Ho, RC. (2020). Immediate Psychological Responses and Associated Factors during the Initial Stage of the 2019 Coronavirus Disease (COVID-19) Epidemic among the General Population in China. Int J Environ Res Public Health. 17(5),1729. https://doi.org/10.3390/ijerph17051729. PMID: 32155789; PMCID: PMC7084952.

Woods, JA., Hutchinson, NT., Powers, SK., Roberts, WO., Gomez-Cabrera, MC., Radak, Z., Berkes, I., Boros, A., Boldogh, I., Leeuwenburgh, C., Coelho-Júnior, HJ., Marzetti, E., Cheng, Y., Liu, J., Durstine, JL., Sun, J., & Ji, LL. (2020). The COVID-19 pandemic and physical activity. Sports Med Health Sci., 2(2), 55-64. https://doi.org/10.1016/j.smhs.2020.05.006. Epub 2020 May 30. PMID: 34189484; PMCID: PMC7261095.

World Health Organization. (2020b, March 11). WHO Director-General's opening remarks at the media briefing on COVID-19 - 11 March 2020. https://www.who.int/zh/director-general/speeches/detail/who-director-general-s-opening-remarks-at-the-media-briefing-on-covid-19---11-march-2020 Accessed: 19 May, 2022.

World Health Organization. (2020a, March 13). Clinical management of severe acute respiratory infection (SARI) when COVID-19 disease is suspected. https://www.who.int/docs/default-source/coronaviruse/clinical-management-of-novel-cov.pdf

World Health Organization. (2023, June 08). WHO Coronavirus (COVID-19) Dashboard. Retrieved from: https://covid19.who.int/ Accessed: 15 June, 2023.

World Health Organization. (2021, December 23). Coronavirus disease (COVID-19): How is it transmitted? https://www.who.int/news-room/questions-and-answers/item/coronavirus-disease-covid-19-how-is-it-transmitted

World Health Organization. (2022c, July 22). Global COVID-19 Vaccination Strategy in a Changing World: July 2022 update https://www.who.int/publications/m/item/global-covid-19-vaccination-strategy-in-a-changing-world--july-2022-update Accessed: 10 May 2023.

Wu, P., Fang, Y., Guan, Z., Fan, B., Kong, J., Yao, Z., Liu, X., Fuller, CJ., Susser, E., Lu, J., & Hoven, CW. (2009). The psychological impact of the SARS epidemic on hospital employees in China: exposure, risk perception, and altruistic acceptance of risk. Can J Psychiatry.,54(5),302-311. https://doi.org/10.1177/070674370905400504

Yamamoto, JJ., Brandley, ET., & Ulrich, TC. (2021). Flight attendant occupational nutrition and lifestyle factors associated with COVID-19 incidence. Sci Rep. 11(1), 24502. https://doi.org/10.1038/s41598-021-04350-0 PMID: 34969961; PMCID: PMC8718529.

Yan, Y., Li X., Shang, Y., & Tu, J. (2017). Evaluation of airborne disease infection risks in an airliner cabin using the Lagrangian-based Wells- Riley approach. Build Environ, 15(121), 79-92.
https://doi.org/10.1016/j.buildenv.2017.07.010

Yilmaz, O., Frost, M., Timmis, A., & Ison, S. (2021). Investigation of Employee Related Airport Ground Access Strategies from a Post-COVID Perspective. Transportation Research Record, 2677(4). https:// doi.org/10.1177/03611981211033280

Yuan, K., Gong, YM., Liu, L., Sun, YK., Tian, SS., Wang, YJ., Zhong, Y., Zhang, AY., Su, SZ., Liu, XX., Zhang, YX., Lin, X, Shi, L., Yan, W., Fazel, S., Vitiello, MV., Bryant, RA., Zhou, XY., Ran, MS., Bao, YP., Shi, J., Lu, L. (2021). Prevalence of posttraumatic stress disorder after infectious disease pandemics in the twenty-first century, including COVID-19: a meta-analysis and systematic review. Molecular Psychiatry,26(9),4982–4998. https://doi.org/10.1038/s41380-021-01036-x. Epub 2021 Feb 4. PMID: 33542468; PMCID: PMC7861006.

Zampetakis, LA, & Melas, C. (2021). The health belief model predicts vaccination intentions against COVID-19: A survey experiment approach. Appl Psychol Health Well Being., 13(2), 469-484. https://doi.org/10.1111/aphw.12262. Epub 2021 Feb 26. PMID: 33634930; PMCID: PMC8014148.

Zhang, L., Pan, R., Cai, Y., & Pan, J. (2021). The Prevalence of Post-Traumatic Stress Disorder in the General Population during the COVID-19 Pandemic: A Systematic Review and Single-Arm Meta-Analysis. Psychiatry Investig.,18(5),426-433. https://doi.org/10.30773/pi.2020.0458. Epub 2021 Apr 30. PMID: 33910325; PMCID: PMC8169329.
 
 
 
 
第一頁 上一頁 下一頁 最後一頁 top
QR Code
QRCODE

臺灣人文及社會科學引文索引資料庫

目前上線人數：830（臺灣：805，外國：25） ／ 本年度總使用人次：2156165 ／ 訪客人次（自102年09月）：67960784
國家圖書館著作權聲明 Copyright © 2013 All rights reserved.
本館地址: 100201臺北市中山南路20號． 本館地圖及交通資訊．
總機：(02)23619132．最佳瀏覽解析度為1024x768以上