year 11, Issue 4 (Winter 2023)
Ann Appl Sport Sci 2023, 11(4): 0-0 |
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Indahwati N, Maksum A. The Relationship between Socioeconomic Factors, Physical Literacy, Physical Health, and Well-being among Female Athletes: A Construct Theoretical Model. Ann Appl Sport Sci 2023; 11 (4)
URL: http://aassjournal.com/article-1-1196-en.html
URL: http://aassjournal.com/article-1-1196-en.html
1- Department of Physical Education, Universitas Negeri Surabaya, Indonesia , nanikindahwati@unesa.ac.id
2- Postgraduate School of Sport Science, Universitas Negeri Surabaya, Indonesia
2- Postgraduate School of Sport Science, Universitas Negeri Surabaya, Indonesia
Abstract: (1510 Views)
Background. The low participation of women in sports will remain a problem if a more comprehensive formula is not sought. Whereas the level of participation is correlated with the health and psychological well-being of women.
Objectives. This study aimed to develop a theory that explains the simultaneous relations, both directly and indirectly, between socioeconomic variables, physical literacy, physical health, and psychological well-being in women.
Methods. As participants were adolescent to elderly women, aged 16-64 years ±32.7 a total of 408 people were in the Surabaya area and its surroundings. Data was collected using questionnaires and scales covering socioeconomic dimensions, physical literacy, health, and psychological well-being. Data were analyzed using Structural Equation Modeling.
Results. The results showed that the theoretical model which included 4 latent variables and 17 manifest variables was coherent and corresponded with empirical data with RMSEA= 0.08, Chi-square= 3.79, GFI= 0.988, AGFI= 0.984, PGFI= 0.730, and NFI= 0.976. Physical literacy as an exogenous latent variable is contributed by three manifest variables with lambda (λ) of 0.60-0.81. Socioeconomic as an exogenous latent variable is contributed by two manifest variables with λ of 0.42 and 0.79. Meanwhile, physical health as an endogenous latent variable is contributed by six manifest variables with λ of 0.63-0.83. Meanwhile, psychological well-being as an endogenous latent variable is contributed by six manifest variables with λ of 0.25-0.84. The physical health variable influences the psychological well-being variable with a beta (β) of 0.30.
Conclusion. The findings of this study suggest that our theoretical model, which explores the structural relationship between socioeconomic variables, physical literacy, physical health, and psychological well-being, is both coherent and supported by empirical evidence.
Objectives. This study aimed to develop a theory that explains the simultaneous relations, both directly and indirectly, between socioeconomic variables, physical literacy, physical health, and psychological well-being in women.
Methods. As participants were adolescent to elderly women, aged 16-64 years ±32.7 a total of 408 people were in the Surabaya area and its surroundings. Data was collected using questionnaires and scales covering socioeconomic dimensions, physical literacy, health, and psychological well-being. Data were analyzed using Structural Equation Modeling.
Results. The results showed that the theoretical model which included 4 latent variables and 17 manifest variables was coherent and corresponded with empirical data with RMSEA= 0.08, Chi-square= 3.79, GFI= 0.988, AGFI= 0.984, PGFI= 0.730, and NFI= 0.976. Physical literacy as an exogenous latent variable is contributed by three manifest variables with lambda (λ) of 0.60-0.81. Socioeconomic as an exogenous latent variable is contributed by two manifest variables with λ of 0.42 and 0.79. Meanwhile, physical health as an endogenous latent variable is contributed by six manifest variables with λ of 0.63-0.83. Meanwhile, psychological well-being as an endogenous latent variable is contributed by six manifest variables with λ of 0.25-0.84. The physical health variable influences the psychological well-being variable with a beta (β) of 0.30.
Conclusion. The findings of this study suggest that our theoretical model, which explores the structural relationship between socioeconomic variables, physical literacy, physical health, and psychological well-being, is both coherent and supported by empirical evidence.
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APPLICABLE REMARKS
APPLICABLE REMARKS
• Physical literacy is an important variable in explaining women's participation in sports. Therefore, more serious, systematic, and collaborative efforts need to be made to increase physical literacy in women's groups.
• Socioeconomic variables are not correlated with physical literacy in women. Therefore, promotive and preventive efforts to increase women's participation in sports do not need to consider socioeconomic factors. This means that sports activities need to have campaigned at all levels of society regardless of socioeconomic background.
• Physical health as a result of sports activities has been shown to have a direct effect on women's psychological well-being. Therefore, sports activities can be an alternative solution for women in maintaining and improving their mental health.
• Socioeconomic variables are not correlated with physical literacy in women. Therefore, promotive and preventive efforts to increase women's participation in sports do not need to consider socioeconomic factors. This means that sports activities need to have campaigned at all levels of society regardless of socioeconomic background.
• Physical health as a result of sports activities has been shown to have a direct effect on women's psychological well-being. Therefore, sports activities can be an alternative solution for women in maintaining and improving their mental health.
Type of Study: Original Article |
Subject:
Sport Psychology and its Related Branches
Received: 2023/03/6 | Accepted: 2023/05/10
Received: 2023/03/6 | Accepted: 2023/05/10
References
1. 1. Gigliotti M, Schmidt-Traub G, Bastianoni S. The sustainable development goals. 2nd ed: Elsevier; 2019. [DOI:10.1016/B978-0-12-409548-9.10986-8]
2. McInnes R. Sustainable Development Goals. In 'The Wetland Book I: Structure and Function, Management and Methods': Springer; 2018. [DOI:10.1007/978-90-481-9659-3_125]
3. Sapkota JB, Neupane P. Sport for Development and Peace (SDP) Organisations and the Sustainable Development Goals (SDGs) of Nepal. Global Social Welfare. 2021;8(1):47-58. [DOI:10.1007/s40609-018-0129-5]
4. Irandoust K, Taheri M, Mirmoezzi M, H'mida C, Chtourou H, Trabelsi K, et al. The Effect of Aquatic Exercise on Postural Mobility of Healthy Older Adults with Endomorphic Somatotype. International Journal of Environmental Research and Public Health [Internet]. 2019; 16(22). [DOI:10.3390/ijerph16224387] [PMID] [PMCID]
5. Maksum A, Indahwati N. Physical Activity and Quality of Life: A Structural Equation Modeling Analysis of Its Relations and Affecting Factors-Research Report. Surabaya: Universitas Negeri Surabaya; 2020.
6. Maksum A. Patterns of Physical Activity and Its Impact on the Quality of Life: A Structural Equation Modeling Analysis. Ann-Appl-Sport-Sci. 2022;10(2):0-. [DOI:10.52547/aassjournal.1038]
7. Maksum A. Patterns of sports participation by age, gender, and jobs: A case of Indonesia (Research Report). Surabaya: Unesa University Press; 2020.
8. Maksum A, Indahwati N. Patterns of physical activity and its impact on health risk and life satisfaction: An evidence from adults in Indonesia. International Journal of Human Movement and Sports Sciences. 2021;9(6):1087-96. [DOI:10.13189/saj.2021.090602]
9. Maksum A. Sports, Welfare, and Public Policy: An Evidence from Indonesia1. The 2020 Yokohama Sport Conference2020.
10. Eime RM, Harvey JT, Charity MJ, Casey MM, Westerbeek H, Payne WR. Age profiles of sport participants. BMC Sports Science, Medicine and Rehabilitation. 2016;8(1):6. [DOI:10.1186/s13102-016-0031-3] [PMID] [PMCID]
11. H. Yoshitaka. Current measures taken in Japan on Women in Sports, and the Next Phase of the ASEAN-Japan Collaboration on Women in Sports. in Report on The Implementation of ASEAN-Japan Actions on Sports2022.
12. Physical Inactivity: A Global Public Health Problem: World Health Organization; 2015 [Available from: https://www.who.int/ncds/prevention/physical-activity/inactivity-global-health-problem/en/.
13. Oglesby C, Wsi I. Women, Gender, Equality and Sport, Women 2000 and beyond. World, December. 2007:1-40.
14. Eime RM, Harvey J, Charity MJ, Casey M, Westerbeek H, Payne WR. The relationship of sport participation to provision of sports facilities and socioeconomic status: a geographical analysis. Aust N Z J Public Health. 2017;41(3):248-55. [DOI:10.1111/1753-6405.12647] [PMID]
15. Zambrano-Monserrate MA, Ruano MA, Sanchez-Alcalde L. Indirect effects of COVID-19 on the environment. Science of The Total Environment. 2020;728:138813. [DOI:10.1016/j.scitotenv.2020.138813] [PMID] [PMCID]
16. Forsdike K, Sawyer A-M, Fullagar S, Marjoribanks T. Women's use of sport as identity-work in managing mental health and trauma. Women's Studies International Forum. 2022;92:102595. [DOI:10.1016/j.wsif.2022.102595]
17. Carlson JL. The Female Athlete Triad/Male Athlete Triad and Relative Energy Deficiency in Sport (RED-S). Ref Modul Biomed Sci. 2021.
18. Whitehead M. Physical literacy: Throughout the lifecourse: Routledge; 2010. [DOI:10.4324/9780203881903]
19. Whitehead M. Definition of physical literacy and clarification of related issues. Icsspe Bulletin. 2013;65(1.2).
20. BPS. Produk Domestik Regional Bruto Per Kapita, 2019-2021 2022 [Available from: https://www.bps.go.id/indicator/52/288/1/-seri-2010-produk-domestik-regional-bruto-per-kapita.html.
21. Mutohir T, Lutan R, Maksum A, Kristiyanto A. Laporan Nasional Sport Development Index 2021: Olahraga untuk investasi pembangunan manusia. Jakarta: Kementerian Pemuda dan Olahraga Republik Indonesia; 2021.
22. Fernández-Abascal EG, Martín-Díaz MD. Longitudinal study on affect, psychological well-being, depression, mental and physical health, prior to and during the COVID-19 pandemic in Spain. Personality and Individual Differences. 2021;172:110591. [DOI:10.1016/j.paid.2020.110591] [PMID] [PMCID]
23. Hughes D, Saw R, Perera NKP, Mooney M, Wallett A, Cooke J, et al. The Australian Institute of Sport framework for rebooting sport in a COVID-19 environment. Journal of Science and Medicine in Sport. 2020;23(7):639-63. [DOI:10.1016/j.jsams.2020.05.004] [PMID] [PMCID]
24. Meisenberg G, Woodley MA. Gender Differences in Subjective Well-Being and Their Relationships with Gender Equality. Journal of Happiness Studies. 2015;16(6):1539-55. [DOI:10.1007/s10902-014-9577-5]
25. Samouilidu E, Pacić S, Nikić R, Eminović F. Physical activity and quality of life of older adults. Physical Activity Effects on the Anthropological Status of Children, Youth and Adults. 2016:281-312.
26. Taheri M, Irandoust K. The Relationship Between Sleep Quality and Lifestyle of the Elderly. Yektaweb_Journals. 2020;15(2):188-99. [DOI:10.32598/sija.13.10.110]
27. Pharr JR, Lough NL. Examining the relationship between sport and health among USA women: An analysis of the Behavioral Risk Factor Surveillance System. Journal of Sport and Health Science. 2016;5(4):403-9. [DOI:10.1016/j.jshs.2016.07.005] [PMID] [PMCID]
28. Razipour M, Irandoust K, Taheri M. Effect of aerobic training and Rosa damascena supplement on the memory of obese women. International Archives of Health Sciences. 2019;6(3):136-40. [DOI:10.4103/iahs.iahs_6_19]
29. Irandoust K, Taheri M, Chtourou H, Nikolaidis PT, Rosemann T, Knechtle B. Effect of Time-of-Day-Exercise in Group Settings on Level of Mood and Depression of Former Elite Male Athletes. International Journal of Environmental Research and Public Health [Internet]. 2019; 16(19). [DOI:10.3390/ijerph16193541] [PMID] [PMCID]
30. de Lira CAB, Taveira HV, Rufo-Tavares W, Amorim AdS, Ferreira LMC, Andrade MS, et al. Engagement in a Community Physical Activity Program and Its Effects Upon the Health-Related Quality of Life of Elderly People: A Cross-Sectional Study. Value in Health Regional Issues. 2018;17:183-8. [DOI:10.1016/j.vhri.2018.10.002] [PMID]
31. Depression W. other common mental disorders: global health estimates. 2017. Geneva: World Health Organization. 2018;5.
32. Organization WH. Facts and figures on childhood obesity. 2017.
33. Yagmaee F. Eight Weeks of Aerobic Exercise and Prescribed Diet (Low in Carbohydrate and High Protein) Improve Mental Health in Obese Women. Int J Sport Stud Hlth. 2021;4(1):e121345. [DOI:10.5812/intjssh.121345]
34. Miletzki J, Broten N. An Analysis of Amartya Sen's: Development as Freedom. Macat Library. 2017. [DOI:10.4324/9781912281275]
35. Kahneman D, Deaton A. High income improves evaluation of life but not emotional well-being. Proceedings of the National Academy of Sciences. 2010;107(38):16489-93. [DOI:10.1073/pnas.1011492107] [PMID] [PMCID]
36. Thomas J, Nelson J. Research Methods in Physical Activity 3rd Edition Champaign. 3rd ed: IL: Human Kinetics; 1996.
37. Wang X, Cheng Z. Cross-Sectional Studies: Strengths, Weaknesses, and Recommendations. Chest. 2020;158(1s):S65-s71. [DOI:10.1016/j.chest.2020.03.012] [PMID]
38. W. C. Hair JH, Anderson, R.E., Tatham, R.L., & Black,. Multivariate data analysis. 7th ed ed: Pearson Education; 2016.
39. Ma R-S, Sum RKW, Hu Y-N, Gao T-Y. Assessing factor structure of the simplified Chinese version of Perceived Physical Literacy Instrument for undergraduates in Mainland China. Journal of Exercise Science & Fitness. 2020;18(2):68-73. [DOI:10.1016/j.jesf.2020.01.001] [PMID] [PMCID]
40. Cerin E, Leslie E. How socio-economic status contributes to participation in leisure-time physical activity. Social Science & Medicine. 2008;66(12):2596-609. [DOI:10.1016/j.socscimed.2008.02.012] [PMID]
41. Organization WH. Programme on mental health: WHOQOL User Manual: World Health Organization; 2012 [
42. Ryff CD, Keyes CL. The structure of psychological well-being revisited. J Pers Soc Psychol. 1995;69(4):719-27. [DOI:10.1037/0022-3514.69.4.719] [PMID]
43. Development of the World Health Organization WHOQOL-BREF quality of life assessment. The WHOQOL Group. Psychol Med. 1998;28(3):551-8. [DOI:10.1017/S0033291798006667] [PMID]
44. Byrne BM. Structural equation modeling with AMOS: Basic concepts, applications, and programming: Routledge; 2010.
45. Byrne BM. Structural equation modeling with LISREL, PRELIS, and SIMPLIS: Basic concepts, applications, and programming: Lawrence Erlbaum Associates Publishers; 1998.
46. Cusatis R, Garbarski D. Different domains of physical activity: The role of leisure, housework/care work, and paid work in socioeconomic differences in reported physical activity. SSM - Population Health. 2019;7:100387. [DOI:10.1016/j.ssmph.2019.100387] [PMID] [PMCID]
47. Eime RM, Harvey JT, Craike MJ, Symons CM, Payne WR. Family support and ease of access link socio-economic status and sports club membership in adolescent girls: a mediation study. International Journal of Behavioral Nutrition and Physical Activity. 2013;10(1):50. [DOI:10.1186/1479-5868-10-50] [PMID] [PMCID]
48. England S. Towards an active nation. London: Sport England. 2016:1-46.
49. Cairney J, Kiez T, Roetert EP, Kriellaars D. A 20th-Century Narrative on the Origins of the Physical Literacy Construct. Journal of Teaching in Physical Education. 2019;38(2):79-83. [DOI:10.1123/jtpe.2018-0072]
50. Seefeldt V, Malina RM, Clark MA. Factors affecting levels of physical activity in adults. Sports Med. 2002;32(3):143-68. [DOI:10.2165/00007256-200232030-00001] [PMID]
51. CDC. Facts about Physical Activity | Physical Activity | CDC: Centers for Disease Control and Prevention; 2014.
52. Thompson Coon J, Boddy K, Stein K, Whear R, Barton J, Depledge MH. Does Participating in Physical Activity in Outdoor Natural Environments Have a Greater Effect on Physical and Mental Wellbeing than Physical Activity Indoors? A Systematic Review. Environmental Science & Technology. 2011;45(5):1761-72. [DOI:10.1021/es102947t] [PMID]
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