Chinese children; attitude; confirmatory; physical activity; psychometric; Attitude; Child; China; Cross-Sectional Studies; Female; Humans; Male; Psychometrics; Reproducibility of Results; Surveys and Questionnaires; Exercise; Language; Pollution; Public Health, Environmental and Occupational Health; Health, Toxicology and Mutagenesis
Abstract :
[en] Background: This study examined the psychometric properties of the Chinese version of the Attitude toward Physical Activity Scale (APAS) using a cross-sectional design. Methods: The sample consisted of 692 primary students in China (boy 52.6%, girl 47.4%). The mean age of the participants was 9.4 years (SD = 0.92). Psychometric properties of the 57-item APAS was examined using confirmatory factor analysis (CFA). Results: The hypothesized seven factors model was supported by CFA (CFI = 0.912, TLI = 0.901, SRMR = 0.041, RMSEA = 0.029) after 22 items were removed and the inclusion of seven residual covariance for items loaded on the same factor. Cronbach's alphas of the scales ranged between 0.50 and 0.76. The composite reliability (CR) was between 0.50 and 0.75. All inter-factor correlation coefficient was less than 0.85. Conclusions: Findings provided empirical evidence that the Chinese version of the APAS has adequate psychometric properties for assessing attitudes of primary school children in China toward physical activity.
Disciplines :
Education & instruction
Author, co-author :
Zhou, Yanli; School of Physical Education, Henan University, Kaifeng 475001, China
He, Sensen; Minsheng College, Division of Henan University, Kaifeng 475001, China
Zhou, Ke; School of Physical Education, Henan University, Kaifeng 475001, China
Kuan, Garry ; Exercise and Sports Science Programme, School of Health Sciences, Universiti Sains Malaysia, Kubang Kerian 16150, Kelantan, Malaysia
Chin, Ming-Kai ; The Foundation for Global Community Health, 1550 W Horizon Ridge Pkwy Ste R #206, Henderson, NV 89012, USA
Kueh, Yee Cheng ; Biostatistics and Research Methodology Unit, School of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian 16150, Kelantan, Malaysia
Sabo, Abdulwali; Biostatistics and Research Methodology Unit, School of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian 16150, Kelantan, Malaysia
POPESKA, Biljana ; University of Luxembourg > Faculty of Humanities, Education and Social Sciences (FHSE) > Department of Education and Social Work (DESW) > Teaching and Learning ; Faculty of Educational Sciences, Goce Delcev Univeristy, 2000 Stip, North Macedonia
Durstine, J Larry; Department of Exercise Science, University of South Carolina, Columbia, SC 29208, USA
External co-authors :
yes
Language :
English
Title :
Psychometric Properties of the Chinese-Language Attitude toward Physical Activity Scale: A Confirmatory Study on Chinese Children.
Publication date :
02 September 2021
Journal title :
International Journal of Environmental Research and Public Health
National Social Science Fund The Ministry of Education of Humanities and Social Science project
Funding text :
Funding: This research was funded by the National Social Science Fund, 17TYB078, The Ministry of Education of Humanities and Social Science project, 15YJA890030 and the Foundation for University Key Teacher in Henan Province, 2016GGJS-029.
Sabo, A.; Kueh, Y.C.; Arifin, W.N.; Kim, Y.; Kuan, G. The validity and reliability of the Malay version of the social support for exercise and physical environment for physical activity scales. PLoS ONE 2020, 15, e0239725. [CrossRef] [PubMed]
Kueh, Y.C.; Abdullah, N.; Kuan, G.; Morris, T.; Naing, N.N. Testing measurement and factor structure invariance of the physical activity and leisure motivation scale for youth across gender. Front. Psychol. 2018, 9, 1096. [CrossRef]
Hajar, M.S.; Rizal, H.; Kuan, G. Effects of physical activity on sustained attention: A systematic review. Sci. Med. 2019, 29, e32864. [CrossRef]
Basso, J.C.; Suzuki, W.A. The effects of acute exercise on mood, cognition, neurophysiology, and neurochemical pathways: A review. Brain Plast. 2017, 2, 127–152. [CrossRef] [PubMed]
Hillman, C.H.; Erickson, K.I.; Hatfield, B.D. Run for your life! childhood physical activity effects on brain and cognition. Kinesiol. Rev. 2017, 6, 12–21. [CrossRef]
Pogrmilovic, B.K.; O’Sullivan, G.; Milton, K.; Biddle, S.J.H.; Bauman, A.; Bull, F.; Kahlmeier, S.; Pratt, M.; Pedisic, Z. A global systematic scoping review of studies analysing indicators, development, and content of national-level physical activity and sedentary behaviour policies. Int. J. Behav. Nutr. Phys. Act. 2018, 15, 1–17. [CrossRef]
Lee, I.-M.; Shiroma, E.J.; Lobelo, F.; Puska, P.; Blair, S.N.; Katzmarzyk, P.T.; Kahlmeier, S. Effect of physical inactivity on major non-communicable diseases worldwide: An analysis of burden of disease and life expectancy. Lancet 2012, 380, 219–229. [CrossRef]
Bilgrami, Z.; Mclaughlin, L.; Milanaik, R.; Adesman, A. Health implications of new-age technologies: A systematic review. Minerva Pediatr. 2017, 69, 348–367. [CrossRef]
Brindova, D.; Veselska, Z.D.; Klein, D.; Hamrik, Z.; Sigmundova, D.; Van Dijk, J.P.; Reijneveld, S.A.; Geckova, A.M. Is the association between screen-based behaviour and health complaints among adolescents moderated by physical activity? Int. J. Public Health 2015, 60, 139–145. [CrossRef]
Pavelka, J.; Husarova, D.; Sevcikova, A.; Madarasova, G.A. Country, age, and gender differences in the prevalence of screen-based behaviour and family-related factors among school-aged children. Acta Gymnica 2016, 46, 143–151. [CrossRef]
Popeska, B.; Jovanova-Mitkovska, S.; Chin, M.-K.; Edginton, C.R.; Mok, M.M.C.; Gontarev, S. Implementation of brain breaks®in the classroom and effects on attitudes toward physical activity in a Macedonian school setting. Int. J. Environ. Res. Public Health 2018, 15, 1127. [CrossRef]
Bronfenbrenner, U. The Ecology of Human Development: Experiments by Nature and Design; Harvard University Press: Cambridge, MA, USA, 1979.
Bronfenbrenner, U.; Husen, T.; Postlethwaite, T. International encyclopedia of education. Ecol. Models Hum. Dev. 1994, 3, 37–43.
Kim, Y.; Kosma, M. Psychosocial and environmental correlates of physical activity among Korean older adults. Res. Aging 2013, 35, 750–767. [CrossRef]
Hills, A.P.; Dengel, D.R.; Lubans, D.R. Supporting public health priorities: Recommendations for physical education and physical activity promotion in schools. Prog. Cardiovasc. Dis. 2015, 57, 368–374. [CrossRef]
Zhou, K.; He, S.; Zhou, Y.; Popeska, B.; Kuan, G.; Chen, L.; Chin, M.-K.; Mok, M.M.C.; Edginton, C.R.; Culpan, I.; et al. Implementation of brain breaks in the classroom and its effects on attitude towards physical activity in Chinese school setting. Int. J. Environ. Res. Public Health 2021, 18, 272. [CrossRef] [PubMed]
Balasekaran, G.; Ibrahim, A.A.B.; Cheo, N.Y.; Wang, P.K.; Kuan, G.; Popeska, B.; Chin, M.-K.; Mok, M.M.C.; Edginton, C.R.; Culpan, I.; et al. Using Brain-Breaks as a technology tool to increase atttitude towards physical activity among students in Singapore. Brain Sci. 2021, 11, 784. [CrossRef] [PubMed]
Glapa, A.; Grzesiak, J.; Laudanska-Krzeminska, I.; Chin, M.-K.; Edginton, C.R.; Mok, M.M.C.; Bronikowski, M. The impact of brain breaks classroom-based physical activities on attitudes toward physical activity in polish school children in third to fifth grade. Int. J. Environ. Res. Public Health 2018, 15, 368. [CrossRef]
Robinson, L.E.; Stodden, D.F.; Barnett, L.M.; Lopes, V.P.; Logan, S.W.; Rodrigues, L.P.; D’Hondt, E. Motor competence and its effect on positive developmental trajectories of health. Sports Med. 2015, 45, 1273–1284. [CrossRef]
Eagly, A.H.; Chaiken, S. The Psychology of Attitudes; Harcourt Brace Jovanovich College Publishers: San Diego, CA, USA, 1993.
Tran, Y.; Yamamoto, T.; Sato, H.; Miwa, T.; Morikawa, T. Attitude toward physical activity as a determinant of bus use intention: A case study in Asuke, Japan. IATSS Res. 2020, 44, 293–299. [CrossRef]
Mok, M.M.C.; Chin, M.K.; Chen, S.; Emeljanovas, A.; Mieziene, B.; Bronikowski, M.; Laudanska-Krzeminska, I.; Milanovic, I.; Pasic, M.; Balasekaran, G.; et al. Psychometric properties of the attitudes toward physical activity scale: A rasch analysis based on data from five locations. J. Appl. Meas. 2015, 16, 379–400. [PubMed]
Emeljanovas, A.; Mieziene, B.; MoChingMok, M.; Chin, M.-K.; Cesnaitiene, V.J.; Fatkulina, N.; Trinkuniene, L.; Sánchez, G.F.L.; Suárez, A.D. Efecto de un programa interactivo durante los descansos escolares en las actitudes hacia la actividad física de escolares de primaria. Ann. Psychol. 2018, 34, 580–586. [CrossRef]
Uzunoz, F.S.; Chin, M.K.; Mok, M.M.C.; Edginton, C.R.; Podnar, H. The effects of technology supported brain-breaks on physical activity in school children. Passionately inclusive. In Towards Participation and Friendship in Sport: Festschrift für Gudrun Doll-Tepper; Dumon, D., Hofmann, A.R., Diketmüller, R., Koenen, K., Bailey, R., Zinkler, C., Eds.; Waxmann Verlag GMBH: Munster, Germany, 2017; pp. 87–104.
Hajar, M.S.; Rizal, H.; Muhamad, A.S.; Kuan, G. The effects of brain-breaks on short-term memory among primary school children in Malaysia. In Enhancing Health and Sports Performance by Design, 1st ed.; Hassan, M.H.A., Che Muhamed, A.M., Mohd Ali, N.F.B., Lian, D.K.C., Yee, K.L., Safii, N.S., Yusof, S.M., Fauzi, N.F.M., Eds.; Springer: Singapore, 2020; pp. 1–12.
Muthén, L.K.; Muthén, B.O. Mplus: The Comprehensive Modeling Program for Applied Researchers: User’s Guide, 7th ed.; Muthén & Muthén: Los Angeles, CA, USA, 1998.
Byrne, B.M. Structural Equation Modeling with Mplus: Basic Concepts, Applications, and Programming; Routledge: London, UK, 2013.
Wang, J.; Wang, X. Structural Equation Modeling: Applications Using Mplus; John Wiley & Sons Ltd.: Chichester, UK, 2012.
Hair, J.F.; Black, W.C.; Babin, B.J.; Anderson, R.E. Multivariate Data Analysis, 7th ed.; Pearson Prentice Hall: Hoboken, NJ, USA, 2014.
Raykov, T.; Marcoulides, G.A. Scale reliability evaluation under multiple assumption violations. Struct. Equ. Model. A Multidiscip. J. 2016, 23, 302–313. [CrossRef]
Tseng, W.-T.; Dörnyei, Z.; Schmitt, N. A new approach to assessing strategic learning: The case of self-regulation in vocabulary acquisition. Appl. Linguist. 2006, 27, 78–102. [CrossRef]
Brown, T. Confirmatory Factor Analysis for Applied Research; The Guilford Press: New York, NY, USA, 2006.
Bartholomew, J.B.; Jowers, E.M. Physically active academic lessons in elementary children. Prev. Med. 2011, 52, S51–S54. [CrossRef] [PubMed]
Dunn, L.L.; Venturanza, J.A.; Walsh, R.J.; Nonas, C.A. An observational evaluation of move-to-improve, a classroom-based physical activity program, New York City schools, 2010. Prev. Chronic Dis. 2012, 9, E146. [CrossRef] [PubMed]
Kibbe, D.L.; Hackett, J.; Hurley, M.; McFarland, A.; Schubert, K.G.; Schultz, A.; Harris, S. Integrating physical activity with academic concepts in elementary school classrooms. Prev. Med. 2011, 52, S43–S50. [CrossRef] [PubMed]
Fornell, C.; Larcker, D.F. Evaluating structural equation models with unobservable variables and measurement error. J. Mark Res. 1981, 18, 39–50. [CrossRef]
Kline, B.R. Principles and Practice of Structural Equation Modeling, 3rd ed; Guilford: New York, NY, USA, 2011.
Jöreskog, K.G.; Sörbom, D. LISREL 8: Structural Equation Modeling with the SIMPLIS Command Language; Scientific Software International: Chapel Hill, NC, USA, 1993.
Enders, C.K.; Tofighi, D. Centering predictor variables in cross-sectional multilevel models: A new look at an old issue. Psychol Methods. 2007, 12, 121. [CrossRef]