A Study of Leisure Constraints and Job Satisfaction of Middle-Aged and Elderly Health Care Workers in COVID-19 Environment
Abstract
:1. Introduction
2. Literature Discussion
2.1. Leisure Constraints
2.2. Job Satisfaction
2.3. Relevant Research on Leisure Constraints and Job Satisfaction
3. Methodology
3.1. Study Design, Population, and Setting
3.2. Measurements
3.3. Data Analysis
3.3.1. Offending Estimate
3.3.2. Measurement Mode Analysis
3.3.3. Verification of Convergent Validity
3.3.4. Discriminant Validity Verification
3.3.5. Analytical Method
3.4. Ethical Considerations
4. Results
4.1. Leisure Barriers and Job Satisfaction—Structural Model Analysis
4.2. Discuss
4.2.1. Discussion of Sample Background
4.2.2. Discussing the Current Situation of Leisure Obstacles and Job Satisfaction among Middle-Aged and Senior Medical Staff
4.2.3. Discussion on the Relationship between Leisure Obstacles and Job Satisfaction
4.2.4. For Research Objects and Clinical Verification
5. Conclusions
- The employment willingness of senior medical staff should be valued, and benefits should be improved;
- Comprehensive on-site medical and epidemic prevention management decisions should be formulated in order to safeguard the existing medical environment in advance;
- A fitness center should be provided in the facility or through cooperation with a nearby one;
- Public transportation should be provided for employees to engage in leisure activities and transportation of children to and from their families;
- Middle-aged and elderly health care workers should schedule 30–60 min of moderate-intensity exercise after work, at least three times a week, to maintain physical and mental health;
- The medical staff should be supplemented, and the shift schedule mechanism should be stabilized;
- Find leisure activity partners from work, or plan short-time, moderate-intensity leisure exercises, and engage in leisure regularly to maintain physical and mental health;
- Exploring the feelings of male health care workers and analyzing the factors that influence external job satisfaction in depth will help fill the research gap;
- Due to the sampling method and limitations of the study, errors may occur. It is recommended that follow-up researchers use additional sampling methods to obtain a larger amount of data for analysis, and include other age groups in the study, which may complement our findings.
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
- Liu, Y.; Gayle, A.A.; Wilder-Smith, A.; Rocklöv, J. The reproductive number of COVID-19 is higher compared to SARS coronavirus. J. Travel Med. 2020, 27, 1–21. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Xu, Z.; Shi, L.; Wang, Y.; Zhang, J.; Huang, L.; Zhang, C.; Liu, S.; Zhao, P.; Liu, H.; Zhu, L.; et al. Pathological findings of COVID-19 associated with acute respiratory distress syndrome. Lancet Respir. Med. 2020, 8, 420–422. [Google Scholar] [CrossRef]
- WHO. Coronavirus Disease 2019 (COVID-19) Situation Report–67. 2020. Available online: http://apps.who.int/iris/bitstream/handle/10665/331613/nCoVsitrep27Mar2020-eng.pdf (accessed on 9 April 2020).
- McKibbin, W.; Fernando, R. The Global Macroeconomic Impacts of COVID-19: Seven Scenarios. Asian Econ. Pap. 2021, 20, 1–30. [Google Scholar] [CrossRef]
- Huang, C.; Wang, Y.; Li, X.; Ren, L.; Zhao, J.; Hu, Y.; Zhang, L.; Fan, G.; Xu, J.; Gu, X.; et al. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet 2020, 395, 497–506. [Google Scholar] [CrossRef] [Green Version]
- Yang, X.; Yu, Y.; Xu, J.; Shu, H.; Xia, J.; Liu, H.; Wu, Y.; Zhang, L.; Yu, Z.; Fang, M.; et al. Clinical course and outcomes of critically ill patients with SARS-CoV-2 pneumonia in Wuhan, China: A single-centered, retrospective, observational study. Lancet Respir. Med. 2020, 8, 475–481. [Google Scholar] [CrossRef] [Green Version]
- Shin, M.D.; Shukla, S.; Chung, Y.H.; Beiss, V.; Chan, S.K.; Ortega-Rivera, O.A.; Wirth, D.M.; Chen, A.; Sack, M.; Pokorski, J.K.; et al. COVID-19 vaccine development and a potential nanomaterial path forward. Nat. Nanotechnol. 2020, 15, 646–655. [Google Scholar] [CrossRef]
- World Health Organization. WHO Coronavirus Disease (COVID-19) Dashboard. 2020. Available online: https://covid19.who.int/ (accessed on 3 March 2021).
- Biswas, A.; Bhattacharjee, U.; Chakrabarti, A.K.; Tewari, D.N.; Banu, H.; Dutta, S. Emergence of Novel Coronavirus and COVID-19: Whether to stay or die out? Crit. Rev. Microbiol. 2020, 46, 182–193. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Çelik, S.; Taşdemir, N.; Kurt, A.; Ilgezdi, E.; Kubalas, Ö. Fatigue in Intensive Care Nurses and Related Factors. Int. J. Occup. Environ. Med. 2017, 8, 199–206. [Google Scholar] [CrossRef] [Green Version]
- Mawn, L.; Oliver, E.J.; Akhter, N.; Bambra, C.L.; Torgerson, C.; Bridle, C.; Stain, H.J. Are we failing young people not in employment, education or training (NEETs)? A systematic review and meta-analysis of re-engagement interventions. Syst. Rev. 2017, 6, 1–17. [Google Scholar] [CrossRef] [Green Version]
- McCollum, M. Hurricane Florence in the Carolinas: Experiences of Hospital Staff. Ph.D. Thesis, University of North Carolina at Chapel Hill, Chapel Hill Township, NC, USA, 2020. [Google Scholar]
- Pool, I.A.; Poell, R.F.; Berings, M.G.; Cate, O.T. Strategies for continuing professional development among younger, middle-aged, and older nurses: A biographical approach. Int. J. Nurs. Stud. 2015, 52, 939–950. [Google Scholar] [CrossRef]
- Sterling, M.R.; Tseng, E.; Poon, A.; Cho, J.; Avgar, A.C.; Kern, L.M.; Ankuda, C.K.; Dell, N. Experiences of Home Health Care Workers in New York City During the Coronavirus Disease 2019 Pandemic. JAMA Intern. Med. 2020, 180, 1453. [Google Scholar] [CrossRef] [PubMed]
- Ministry of Labor Republic of China (Taiwan). Regulations on the Time of Nursing Staff in Medical Institutions. 2021. Available online: http://www.doctor.org.tw/image_upload/document/8370648515003d8fce9de0.pdf (accessed on 22 May 2021).
- Hussein, S.; Ismail, M.; Manthorpe, J. Changes in turnover and vacancy rates of care workers in England from 2008 to 2010: Panel analysis of national workforce data. Health Soc. Care Community 2015, 24, 547–556. [Google Scholar] [CrossRef] [Green Version]
- Kalata, N. 1 in 3 Ontario Registered Practical Nurses Considering Quitting due to Pandemic, Poll Suggests. 2020. Available online: https://www.cbc.ca/news/canada/toronto/nurses-ontario-covid-19-burnout-survey-1.5890799 (accessed on 18 February 2021).
- Gao, C.W. Taiwan’s Ministry of Health and Welfare Taoyuan Hospital Bursts with Resignation! 2020. Available online: https://news.ebc.net.tw/news/living/247373 (accessed on 18 February 2021).
- Herald, N.Z. ‘The Nurses Will Do That’: Nurse in MIQ Hotel Reveals Tiring Conditions for Workers. 2020. Available online: https://www.odt.co.nz/star-news/star-national/nurses-will-do-nurse-miq-hotel-reveals-tiring-conditions-workers (accessed on 18 February 2021).
- Bowers, B.J.; Esmond, S.; Jacobson, N. Turnover Reinterpreted: CNAs talk about why they leave. J. Gerontol. Nurs. 2003, 29, 36–43. [Google Scholar] [CrossRef] [Green Version]
- Chou, R.J.-A. Resident-Centered Job Satisfaction and Turnover Intent among Direct Care Workers in Assisted Living. Res. Aging 2012, 34, 337–364. [Google Scholar] [CrossRef]
- Walton, M.; Murray, E.; Christian, M.D. Mental health care for medical staff and affiliated healthcare workers during the COVID-19 pandemic. Eur. Heart J. Acute Cardiovasc. Care 2020, 9, 241–247. [Google Scholar] [CrossRef]
- Mihaila, I.; Handen, B.L.; Christian, B.T.; Hartley, S.L. Leisure activity in middle-aged adults with Down syndrome: Initiators, social partners, settings and barriers. J. Appl. Res. Intellect. Disabil. 2020, 33, 865–875. [Google Scholar] [CrossRef] [PubMed]
- Sun, T.; Gao, L.; Li, F.; Shi, Y.; Xie, F.; Wang, J.; Wang, S.; Zhang, S.; Liu, W.; Duan, X.; et al. Workplace violence, psychological stress, sleep quality and subjective health in Chinese doctors: A large cross-sectional study. BMJ Open 2017, 7, e017182. [Google Scholar] [CrossRef] [Green Version]
- Kerzman, H.; Van Dijk, D.; Siman-Tov, M.; Friedman, S.; Goldberg, S. Professional characteristics and work attitudes of hospital nurses who leave compared with those who stay. J. Nurs. Manag. 2020, 28, 1364–1371. [Google Scholar] [CrossRef] [PubMed]
- Kumar, A.; Nayar, K.R.; Koya, S.F. COVID-19: Challenges and its consequences for rural health care in India. Public Health Pract. 2020, 1, 100009. [Google Scholar] [CrossRef]
- Amin, S. The psychology of coronavirus fear: Are healthcare professionals suffering from corona-phobia? Int. J. Health Manag. 2020, 13, 249–256. [Google Scholar] [CrossRef]
- Shaukat, N.; Ali, D.M.; Razzak, J. Physical and mental health impacts of COVID-19 on healthcare workers: A scoping review. Int. J. Emerg. Med. 2020, 13, 1–8. [Google Scholar] [CrossRef]
- Shreffler, J.; Huecker, M.; Petrey, J. The Impact of COVID-19 on Healthcare Worker Wellness: A Scoping Review. West. J. Emerg. Med. 2020, 21, 1059–1066. [Google Scholar] [CrossRef]
- Meng, K.; Cui, C.; Li, H. An Ontology Framework for Pile Integrity Evaluation Based on Analytical Methodology. IEEE Access 2020, 8, 72158–72168. [Google Scholar] [CrossRef]
- Larkin, I.; Lokey-Vega, A.; Brantley-Dias, L. Retaining K-12 online teachers: A predictive model for K-12 online teacher turnover. J. Online Learn. Res. 2018, 4, 53–85. [Google Scholar]
- Hinch, T.; Jackson, E.L.; Hudson, S.; Walker, G. Leisure Constraint Theory and Sport Tourism. Sport Soc. 2005, 8, 142–163. [Google Scholar] [CrossRef]
- Torlak, N.G.; Kuzey, C.; Dinç, M.S.; Budur, T. Links connecting nurses’ planned behavior, burnout, job satisfaction, and organizational citizenship behavior. J. Work. Behav. Health 2021, 36, 77–103. [Google Scholar] [CrossRef]
- Steinhardt, M.A.; Dolbier, C.L.; Gottlieb, N.H.; McCalister, K.T. The relationship between hardiness, supervisor support, group cohesion, and job stress as predictors of job satisfaction. Am. J. Health Promot. 2003, 17, 382–389. [Google Scholar] [CrossRef]
- Yovi, E.Y.; Amanda, N. Ergonomic Analysis of Traditional Pine Oleoresin Tapping: Musculoskeletal Disorders, Cumulative Fatigue, and Job Satisfaction. J. Sylva Lestari 2020, 8. [Google Scholar] [CrossRef]
- Smith, P.C.; Kendall, L.M.; Hulin, C.L. The Measurement of Satisfaction in Work and Retirement: A Strategy for the Study of Attitudes; Rand McNally and Company: Chicago, IL, USA, 1969. [Google Scholar]
- Shih, C.H. A Study of Laboratory Safety-Hygiene Knowledge and Attitudes of the Teachers in Elementary School of Middle Area of Taiwan. Master’s Thesis, NTCU, Environmental Education Research Institute, Taichung, Taiwan, 2002. [Google Scholar]
- Warburton, D.E.R.; Nicol, C.W.; Bredin, S.S.D. Health benefits of physical activity: The evidence. Can. Med. Assoc. J. 2006, 174, 801–809. [Google Scholar] [CrossRef] [Green Version]
- Gupta, M.; Mikkilineni, S. Spirituality and Employee Engagement at Work. In The Palgrave Handbook of Workplace Spirituality and Fulfillment; Springer: Berlin/Heidelberg, Germany, 2018; pp. 681–695. [Google Scholar]
- Agarwal, P.; Sajid, S.M. A study of job satisfaction, organizational commitment and turnover intention among public and private sector employees. J. Manag. Res. 2017, 17, 123–136. [Google Scholar]
- Idiegbeyan-Ose, J.; Opeke, R.; Aregbesola, A.; Owolabi, S.; Eyiolorunshe, T.A. Relationship between Motivation and Job Satisfaction of Staff in Private University Libraries, Nigeria. Acad. Strateg. Manag. J. 2019, 18, 1–13. [Google Scholar]
- Lee, I.-M.; Shiroma, E.J.; Kamada, M.; Bassett, D.R.; Matthews, C.E.; Buring, J.E. Association of Step Volume and Intensity With All-Cause Mortality in Older Women. JAMA Intern. Med. 2019, 179, 1105–1112. [Google Scholar] [CrossRef]
- Alexandris, K.; Tsorbatzoudis, C.; Grouios, G. Perceived Constraints on Recreational Sport Participation: Investigating their Relationship with Intrinsic Motivation, Extrinsic Motivation and Amotivation. J. Leis. Res. 2002, 34, 233–252. [Google Scholar] [CrossRef]
- Michalovic, E.; Jensen, D.; Dandurand, R.J.; Saad, N.; Ezer, N.; Moullec, G.; Smith, B.M.; Bourbeau, J.; Sweet, S.N. Description of Participation in Daily and Social Activities for Individuals with COPD. COPD: J. Chronic Obstr. Pulm. Dis. 2020, 17, 543–556. [Google Scholar] [CrossRef]
- Pagan, R. Leisure Activities and Loneliness among People with Disabilities. In World Sustainability Series; Springer: Cham, Switzerland, 2021; pp. 67–83. [Google Scholar]
- Cho, D.; Price, T. Leisure Constraints to Participation in Competitive Activities and Intramural Sports: Comparing International and Domestic Students. J. Int. Stud. 2018, 8, 884–900. [Google Scholar] [CrossRef] [Green Version]
- Jang, H.J.; Kim, O.; Kim, S.; Kim, M.S.; Choi, J.A.; Kim, B.; Dan, H.; Jung, H. Factors Affecting Physical and Mental Fatigue among Female Hospital Nurses: The Korea Nurses’ Health Study. Healthcare 2021, 9, 201. [Google Scholar] [CrossRef]
- Jecker, N.S.; Wightman, A.G.; Diekema, D.S. Prioritizing Frontline Workers during the COVID-19 Pandemic. Am. J. Bioeth. 2020, 20, 128–132. [Google Scholar] [CrossRef] [PubMed]
- Barua, L.; Zaman, M.S.; Omi, F.R.; Faruque, M. Psychological burden of the COVID-19 pandemic and its associated factors among frontline doctors of Bangladesh: A cross-sectional study. F1000Research 2021, 9, 1304. [Google Scholar] [CrossRef]
- Okediran, J.O.; Ilesanmi, O.S.; Fetuga, A.A.; Onoh, I.; Afolabi, A.A.; Ogunbode, O.; Olajide, L.; Kwaghe, A.V.; Balogun, M.S. The experiences of healthcare workers during the COVID-19 crisis in Lagos, Nigeria: A qualitative study. Germs 2020, 10, 356–366. [Google Scholar] [CrossRef]
- Zhang, S.X.; Liu, J.; Jahanshahi, A.A.; Nawaser, K.; Yousefi, A.; Li, J.; Sun, S. At the height of the storm: Healthcare staff’s health conditions and job satisfaction and their associated predictors during the epidemic peak of COVID-19. Brain Behav. Immun. 2020, 87, 144–146. [Google Scholar] [CrossRef]
- Raj, H. Job Satisfaction among Nurses in Himachal Pradesh a Comparative Study of Selected Public and Private Hospitals. Ph.D. Thesis, Department of Management and Commerce Studies, Sri Sai University, Palampur, India, 2020. [Google Scholar]
- Searle, M.S.; Jackson, E.L. Socioeconomic variations in perceived barriers to recreation participation among would-be participants. Leis. Sci. 1985, 7, 227–249. [Google Scholar] [CrossRef]
- Yu, J.-H.; Lin, H.-H.; Huang, J.-M.; Wu, C.-H.; Tseng, K.-C. Under Industry 4.0, the Current Status of Development and Trend Sports Industry Combining with Cloud Technology. Math. Probl. Eng. 2020, 2020, 1–16. [Google Scholar] [CrossRef]
- Du, J.; Floyd, C.; Kim, A.C.H.; Baker, B.J.; Sato, M.; James, J.D.; Funk, D.C. To be or not to be: Negotiating leisure constraints with technology and data analytics amid the COVID-19 pandemic. Leis. Stud. 2020, 1–15, 1–14. [Google Scholar] [CrossRef]
- Crawford, D.W.; Godbey, G. Reconceptualizing barriers to family leisure. Leis. Sci. 1987, 9, 119–127. [Google Scholar] [CrossRef]
- Chen, T.-Y. A Study on the Relationship among Learning Needs and Leisure Constraints for the Middle-Old Aged Students in China Youth Corps. Master’s Thesis, Department of Cultural and Creative Industries Management, National Taipei University of Education, Taipei, Taiwan, 2017. [Google Scholar]
- Cohen-Serrins, J. The COVID-19 Self-Care Survival Guide: A Framework for Clinicians to Categorize and Utilize Self-Care Strategies and Practices. Shar. Trauma Shar. Resil. Pandemic 2021, 357–367. [Google Scholar] [CrossRef]
- Hsu, C.-H.; Lin, H.-H.; Wang, C.-C.; Jhang, S. How to Defend COVID-19 in Taiwan? Talk about People’s Disease Awareness, Attitudes, Behaviors and the Impact of Physical and Mental Health. Int. J. Environ. Res. Public Health 2020, 17, 4694. [Google Scholar] [CrossRef]
- Bowling, N.A.; Hammond, G.D. A meta-analytic examination of the construct validity of the Michigan Organizational Assessment Questionnaire Job Satisfaction Subscale. J. Vocat. Behav. 2008, 73, 63–77. [Google Scholar] [CrossRef]
- Lan, T.; Chen, M.; Zeng, X.; Liu, T. The Influence of Job and Individual Resources on Work Engagement among Chinese Police Officers: A Moderated Mediation Model. Front. Psychol. 2020, 11, 497. [Google Scholar] [CrossRef] [Green Version]
- Liu, J.; Zhu, B.; Wu, J.; Mao, Y. Job satisfaction, work stress, and turnover intentions among rural health workers: A cross-sectional study in 11 western provinces of China. BMC Fam. Pract. 2019, 20, 1–11. [Google Scholar] [CrossRef] [Green Version]
- Orgambídez-Ramos, A.; de Almeida, H. Work engagement, social support, and job satisfaction in Portuguese nursing staff: A winning combination. Appl. Nurs. Res. 2017, 36, 37–41. [Google Scholar] [CrossRef]
- Farrukh, M.; Kalimuthuan, R.; Farrukh, S. Impact of Job Satisfaction and Mutual Trust on Employee Loyalty in Saudi Hospitality Industry: A Mediating Analysis of Leader Support. Int. J. Bus. Psychol. 2019, 1, 30–52. [Google Scholar]
- Foy, T.; Dwyer, R.J.; Nafarrete, R.; Hammoud, M.S.; Rockett, P. Managing job performance, social support and work-life conflict to reduce workplace stress. Int. J. Prod. Perform. Manag. 2019, 68, 1018–1041. [Google Scholar] [CrossRef]
- Yao, T.; Qiu, Q.; Wei, Y. Retaining hotel employees as internal customers: Effect of organizational commitment on attitudinal and behavioral loyalty of employees. Int. J. Hosp. Manag. 2019, 76, 1–8. [Google Scholar] [CrossRef]
- Dawis, R.V.; England, G.W.; Lofquist, L.H. A Theory of Work Adjustment (Reprinted by permission of publisher and authors from A Theory of Work Adjustment, Minnesota Studies in Vocational Rehabilitation, January 1964, Bulletin 38). Theory Pract. Vocat. Guid. 1968, 22, 241–256. [Google Scholar] [CrossRef]
- Cumbey, D.A.; Alexander, J.W. The Relationship of Job Satisfaction with Organizational Variables in Public Health Nursing. JONA J. Nurs. Adm. 1998, 28, 39–46. [Google Scholar] [CrossRef]
- Tsaur, S.-H.; Yen, C.-H.; Yang, M.-C.; Yen, H.-H. Leisure Crafting: Scale Development and Validation. Leis. Sci. 2020, 1–21. [Google Scholar] [CrossRef]
- Kuykendall, L.; Zhu, Z.; Craig, L. How work constrains leisure: New ideas and directions for interdisciplinary research. J. Leis. Res. 2020, 51, 635–642. [Google Scholar] [CrossRef]
- Foo, L.-P.; Chin, M.-Y.; Tan, K.-L.; Phuah, K.-T. The impact of COVID-19 on tourism industry in Malaysia. Curr. Issues Tour. 2020, 1–5. [Google Scholar] [CrossRef]
- Huang, T.-Z.; Du, S.-P. Research on the cognition of medical institution staff on the performance measurement indicators of the balanced scorecard using the linear structural equation model. Int. J. Chin. Manag. Rev. 2018, 21, 1–21. Available online: http://cmr.ba.ouhk.edu.hk/cmr/webjournal/v21n1/CMR519C15_edited.pdf (accessed on 27 April 2021).
- Huang, F.-M. Structural Equation Model: Theory and Application; Wunan Publishing House: Taipei, Taiwan, 2014. [Google Scholar]
- Galli, A.; Iha, K.; Pires, S.M.; Mancini, M.S.; Alves, A.A.; Zokai, G.; Lin, D.; Murthy, A.; Wackernagel, M. Assessing the Ecological Footprint and biocapacity of Portuguese cities: Critical results for environmental awareness and local management. Cities 2020, 96, 102442. [Google Scholar] [CrossRef]
- Ochieng, P.A. An analysis of the strengths and limitation of qualitative and quantitative research paradigms. Probl. Educ. Century 2009, 13, 13–18. [Google Scholar]
- Cypress, B. Qualitative Research Methods. Dimens. Crit. Care Nurs. 2018, 37, 302–309. [Google Scholar] [CrossRef]
- Gorsuch, R.L. Factor Analysis; Lawrence Erlbaum Associates: Hillsdale, NJ, USA, 1983. [Google Scholar]
- Berry, N.; Lobban, F.; Bucci, S. A qualitative exploration of service user views about using digital health interventions for self-management in severe mental health problems. BMC Psychiatry 2019, 19, 1–13. [Google Scholar] [CrossRef] [Green Version]
- Wu, M.L.; Tu, J.T. SPSS and Statistical Application Analysis; Wunan: Taipei City, Taiwan, 2011. [Google Scholar]
- Gursoy, D.; Jurowski, C.; Uysal, M. Resident Attitudes: A structural odeling approach. Ann. Tour. Res. 2002, 20, 79–105. [Google Scholar] [CrossRef]
- Corbin, J.; Strauss, A. Basics of Qualitative Research: Grounded Theory Procedures and Techniques, 2nd ed.; Sage: California, CA, USA, 2014. [Google Scholar]
- DeVellis, R.F. Scale Development: Theory and Applications, 3rd ed.; Sage publications: California, CA, USA, 2012. [Google Scholar]
- Ajzen, I. The theory of planned behavior. Organ. Behav. Hum. Decis. Process. 1991, 50, 179–211. [Google Scholar] [CrossRef]
- Hidalgo, C.A. Economic complexity theory and applications. Nat. Rev. Phys. 2021, 3, 92–113. [Google Scholar] [CrossRef]
- Qian, C.; Zhang, Y.; Jiang, C.; Pan, S.; Rong, Y. A real-time data-driven collaborative mechanism in fixed-position assembly systems for smart manufacturing. Robot. Comput. Manuf. 2020, 61, 101841. [Google Scholar] [CrossRef]
- Huei, L.K. The crux and overcoming of the problem in the implementation of ‘Assistance Plan of Public Agency Employees’. Pers. Mon. 2015, 364, 29–35. [Google Scholar]
- Lennox, R.D.; Sharar, D.; Schmitz, E.; Goehner, D.B. Development and Validation of the Chestnut Global Partners Workplace Outcome Suite. J. Work. Behav. Health 2010, 25, 107–131. [Google Scholar] [CrossRef]
- Ming, K.J.; Ren, C.M. Research on using cloud storage using integrated technology acceptance model–using Dropbox as the example. J. Inf. Manag. 2014, 7, 50–69. [Google Scholar]
- Bagozzi, R.P.; Yi, Y. On the evaluation of structural equation models. J. Acad. Mark. Sci. 1988, 16, 74–94. [Google Scholar] [CrossRef]
- Hair, J.F.; Anderson, R.L.; Tatham, W.C. Multivariate Data Analysis with Reading; Biostat: Englewood, NJ, USA, 1998. [Google Scholar]
- Yu, C.S. Structural Equation Model; Psychology Publishing: Taipei, Taiwan, 2007. [Google Scholar]
- Qiu, H. Structural Equation Model: LISREL’s Theory, Technology and Application; Futaba: Taipei City, Taiwan, 2003. [Google Scholar]
- Zhang, W. SEM Paper Writing Does Not Ask for Help; Dingmao: Taipei City, Taiwan, 2011. [Google Scholar]
- Hair, J.F., Jr.; Anderson, R.E.; Tatham, R.L.; Black, W.C. Multivariate Data Analysis, 7th ed.; Prentice Hall: Upper saddle River, NJ, USA, 2009. [Google Scholar]
- Fornell, C.; Larcker, D.F. Structural Equation Models with Unobservable Variables and Measurement Error: Algebra and Statistics. J. Mark. Res. 1981, 18, 382–388. [Google Scholar] [CrossRef]
- Long, W.M. Structural Equation Modeling—Method and Practical Application; Liwen Publishing: Kaohsiung, Taiwan, 2009. [Google Scholar]
- Curtis, M.J.; A Bond, R.; Spina, D.; Ahluwalia, A.; A Alexander, S.P.; A Giembycz, M.; Gilchrist, A.; Hoyer, D.; A Insel, P.; A Izzo, A.; et al. Experimental design and analysis and their reporting: New guidance for publication in BJP. Br. J. Pharmacol. 2015, 172, 3461–3471. [Google Scholar] [CrossRef] [Green Version]
- Mathur, R.; Swaminathan, S. National ethical guidelines for biomedical & health research involving human participants, 2017: A commentary. Indian J. Med. Res. 2018, 148, 279–283. [Google Scholar] [CrossRef]
- Berntsen, H.; Kristiansen, E. Guidelines for Need-Supportive Coach Development: The Motivation Activation Program in Sports (MAPS). Int. Sport Coach. J. 2019, 6, 88–97. [Google Scholar] [CrossRef] [Green Version]
- Cho, H.M.; Chuan, P.F.; Aei, H.C. Research on the behavior of water sports tourists—Verification of theory planned behavior. J. Taiwan Soc. Sport Manag. 2011, 11, 85–107. [Google Scholar] [CrossRef]
- Sweeting, B. Wicked Problems in Design and Ethics. In Translational Systems Sciences; Springer: Tokyo, Japan, 2018; Volume 8, pp. 119–143. [Google Scholar]
- Segun, S.T. From machine ethics to computational ethics. AI Soc. 2021, 36, 263–276. [Google Scholar] [CrossRef]
Issue | Content |
---|---|
Background | Gender (male/female); age (45–49/50–54/55–59/60–64); Education (junior college/university/institute); marriage (unmarried/married/other) |
leisure constraints |
|
job satisfaction |
|
Item Code | Standardized Regression Coefficient | Deviation Variance | |
---|---|---|---|
L1 | Introverted personality | 0.70 | 0.12 |
L2 | Family does not support | 0.74 | 0.08 |
L3 | Poor health | 0.77 | 0.09 |
L4 | Too many skills | 0.69 | 0.09 |
L5 | Friends have no time | 0.79 | 0.07 |
L6 | Friends have no money | 0.68 | 0.09 |
L7 | Friends have no transportation | 0.79 | 0.07 |
L8 | Friend has no energy | 0.80 | 0.07 |
L9 | I have no money | 0.69 | 0.09 |
L10 | The place is too narrow | 0.76 | 0.08 |
L11 | I have no information | 0.75 | 0.08 |
L12 | Own no transportation | 0.68 | 0.09 |
Item Code | Standardized Regression Coefficient | Deviation Variance | |
---|---|---|---|
S1 | Environment and facilities | 0.75 | 0.09 |
S2 | Salary | 0.73 | 0.09 |
S3 | Promotion opportunities | 0.77 | 0.09 |
S4 | Get praise | 0.77 | 0.09 |
S5 | Realization ability | 0.78 | 0.08 |
S6 | Get a sense of accomplishment | 0.82 | 0.07 |
S7 | Competent job | 0.80 | 0.08 |
S8 | Profession has special meaning | 0.74 | 0.09 |
Perspective | Index | Standardized Factor Loading | Non-Standardized Factor Loading | S.E. | C.R. (t-Value) | p | SMC (R2) | C.R. | AVE |
---|---|---|---|---|---|---|---|---|---|
Personal obstacles | L1 | 0.73 | 1.00 | 0.54 | 0.80 | 0.58 | |||
L2 | 0.78 | 0.87 | 0.08 | 11.50 | *** | 0.60 | |||
L3 | 0.78 | 0.97 | 0.08 | 11.43 | *** | 0.62 | |||
Interpersonal obstacles | L5 | 0.79 | 1.00 | 0.62 | 0.84 | 0.64 | |||
L7 | 0.79 | 0.98 | 0.07 | 13.22 | *** | 0.63 | |||
L8 | 0.82 | 1.07 | 0.07 | 14.23 | *** | 0.67 | |||
Structural obstacles | L9 | 0.70 | 1.00 | 0.49 | 0.77 | 0.53 | |||
L11 | 0.78 | 1.10 | 0.10 | 10.81 | *** | 0.61 | |||
L12 | 0.71 | 0.99 | 0.10 | 10.33 | *** | 0.51 | |||
Intrinsic satisfaction factor | S1 | 0.76 | 1.00 | 0.57 | 0.84 | 0.57 | |||
S2 | 0.73 | 0.92 | 0.08 | 11.73 | *** | 0.53 | |||
S3 | 0.77 | 1.05 | 0.09 | 12.13 | *** | 0.59 | |||
S4 | 0.77 | 1.02 | 0.08 | 12.10 | *** | 0.59 | |||
External satisfaction factor | S5 | 0.80 | 1.00 | 0.64 | 0.84 | 0.64 | |||
S6 | 0.83 | 1.04 | 0.07 | 14.30 | *** | 0.69 | |||
S7 | 0.77 | 1.02 | 0.08 | 12.96 | *** | 0.59 |
Parameter | Estimate | Bias-Corrected | Percentile Method | ||||
---|---|---|---|---|---|---|---|
Lower Boundary | Upper Boundary | Lower Boundary | Upper Boundary | ||||
Personal obstacles | ↔ | Interpersonal obstacles | 0.84 | 0.75 | 0.91 | 0.75 | 0.91 |
Personal obstacles | ↔ | Structural obstacles | 0.80 | 0.69 | 0.88 | 0.69 | 0.89 |
Interpersonal obstacles | ↔ | Structural obstacles | 0.92 | 0.85 | 0.98 | 0.85 | 0.99 |
Parameter | Estimate | Bias-Corrected | Percentile Method | ||||
---|---|---|---|---|---|---|---|
Lower Boundary | Upper Boundary | Lower Boundary | Upper Boundary | ||||
Intrinsic satisfaction factor | ↔ | External satisfaction factor | 0.93 | 0.85 | 0.99 | 0.85 | 0.99 |
Identity | Professor(A) | Teacher (B) | Doctors (C) | Nurse (D) | Pharmacy (E) |
---|---|---|---|---|---|
Seniority | 12 | 20 | 18 | 13 | 20 |
Interview content |
|
Intrinsic Satisfaction Factor | External Satisfaction Factor | Overall Dimensions of Job Satisfaction | Leisure Hinders the Overall Dimension | |||
---|---|---|---|---|---|---|
Personal obstacles | 0.226 ** | 0.311 ** | 0.285 ** | 0.899 ** | ||
Interpersonal obstacles | 0.295 ** | 0.327 ** | 0.330 ** | 0.942 ** | ||
Structural obstacles | 0.261 ** | 0.292 ** | 0.294 ** | 0.913 ** | ||
Intrinsic satisfaction factor | 1 | 0.778 ** | 0.941 ** | 0.284 ** | ||
External satisfaction factor | 0.778 ** | 1 | 0.945 ** | 0.338 ** | ||
Overall dimensions of job satisfaction | 0.941 ** | 0.945 ** | 1 | 0.330 ** | ||
Leisure obstacles—interpersonal obstacles | Job satisfaction—external factors | |||||
Friends have no time | Friends have no transportation | Friend has no energy | Ability to achieve | Get a sense of accomplishment | Competent job | |
Overall dimensions of job satisfaction | 0.276 ** | 0.251 ** | 0.352 ** | - | ||
Leisure hinders the overall dimension | - | 0.305 ** | 0.337 ** | 0.284 ** |
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Wu, C.-H.; Lin, H.-H.; Lai, S.-Y.; Tseng, K.-C.; Hsu, C.-H. A Study of Leisure Constraints and Job Satisfaction of Middle-Aged and Elderly Health Care Workers in COVID-19 Environment. Healthcare 2021, 9, 713. https://doi.org/10.3390/healthcare9060713
Wu C-H, Lin H-H, Lai S-Y, Tseng K-C, Hsu C-H. A Study of Leisure Constraints and Job Satisfaction of Middle-Aged and Elderly Health Care Workers in COVID-19 Environment. Healthcare. 2021; 9(6):713. https://doi.org/10.3390/healthcare9060713
Chicago/Turabian StyleWu, Chien-Hung, Hsiao-Hsien Lin, Sin-Yu Lai, Kuan-Chieh Tseng, and Chin-Hsien Hsu. 2021. "A Study of Leisure Constraints and Job Satisfaction of Middle-Aged and Elderly Health Care Workers in COVID-19 Environment" Healthcare 9, no. 6: 713. https://doi.org/10.3390/healthcare9060713
APA StyleWu, C.-H., Lin, H.-H., Lai, S.-Y., Tseng, K.-C., & Hsu, C.-H. (2021). A Study of Leisure Constraints and Job Satisfaction of Middle-Aged and Elderly Health Care Workers in COVID-19 Environment. Healthcare, 9(6), 713. https://doi.org/10.3390/healthcare9060713