Domain dimensionality and temporality of outcome expectancy for physical activity among middle-aged and older Chinese adults: A latent profile analysis

Psychology of Sport and Exercise

Volumn 14, Issue 5, 2013, Pages 682-691

  Li, Kin Kit ^a  

^a CITY UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

Clustering; Future time perception; Interdependent self construal; Social cognitive models; Temporal proximity

Indexed keywords

EID: 84878831327     PISSN: 14690292     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.psychsport.2013.05.007     Document Type: Article

References (60)

1. Ajzen I. The theory of planned behavior. Organization Behavior and Human Decision Processes 1991, 50:179-211.
2. Atkinson J.W. Motivational determinants of risk-taking behavior. Psychological Review 1957, 64(6, Pt. 1):359-372. 10.1037/h0043445.
3. Bandura A. Social foundations of thought and action: A social cognitive theory 1986, Prentice-Hall, Englewood Cliffs, NJ.
4. Bandura A. Health promotion by social cognitive means. Health Education and Behavior 2004, 31(2):143-164. 10.1177/1090198104263660.
5. Bauman A.E. Updating the evidence that physical activity is good for health: an epidemiological review 2000-2003. Journal of Science and Medicine in Sport 2004, 7(1 Suppl.):6-19.
6. Bergman L.R., Magnusson D. Aperson-oriented approach in research on developmental psychopathology. Development and Psychopathology 1997, 9(2):291-319.
7. Carstensen L.L., Isaacowitz D., Charles S.T. Taking time seriously: a theory of socioemotional selectivity. American Psychologist 1999, 54:165-181.
8. Carstensen L.L., Lang F.R. Future orientation scale 1996, Unpublished manuscript, Stanford University.
9. Celeux G., Soromenho G. An entropy criterion for assessing the number of clusters in a mixture model. Journal of Classification 1996, 13:195-212.
10. Cherry K.E., Walker E.J., Brown J.S., Volaufova J., LaMotte L.R., Welsh D.A., et al. Social engagement and health in younger, older, and oldest-old adults in the Louisiana Healthy Aging Study. Journal of Applied Gerontology 2013, 32(1):51-75.
11. Chou K.-L. The prevalence and clustering of four major lifestyle risk factors in Hong Kong Chinese older adults. Journal of Aging and Health 2008, 20(7):788-803. 10.1177/0898264308321082.
12. Dipietro L., Caspersen C.J., Ostfeld A.M., Nadel E.R. Asurvey for assessing physical activity among older adults. Medicine and Science in Sports and Exercise 1993, 25(5):628-642.
13. Dutton G.R., Provost B.C., Tan F., Smith D. Atailored print-based physical activity intervention for patients with type 2 diabetes. Preventive Medicine 2008, 47(4):409-411.
14. Ewing R., Schmid T., Killingsworth R., Zlot A., Raudenbush S. Relationship between urban sprawl and physical activity, obesity, and morbidity. American Journal of Health Promotion 2003, 18(1):47-57.
15. Folstein M.F., Folstein S.E., McHugh P.R. "Mini-mental state": a practical method for grading the cognitive state of patients for the clinician. Journal of Psychiatric Research 1975, 12(3):189-198.
16. Fung H.H., Stoeber F.S., Yeung D.Y.-I., Lang F.R. Cultural specificity of socioemotional selectivity: age differences in social network composition among Germans and Hong Kong Chinese. Journal of Gerontology: Psychological Sciences 2008, 63B(3):P156-P164.
17. Green L., Myerson J. Adiscounting framework for choice with delayed and probabilistic rewards. Psychological Bulletin 2004, 130(5):769-792.
18. Gudykunst W.B., Lee C.M. Assessing the validity of self-construal scales: a response to Levine etal. Human Communication Research 2003, 29(2):253-274.
19. Hagger M.S., Chatzisarantis N.L.D., Barkoukis V., Wang J.C.K., Hein V., Pihu M., et al. Cross-cultural generalizability of the theory of planned behavior among young people in a physical activity context. Journal of Sport & Exercise Psychology 2007, 29(1):1-20. 10.1037/0033-295x.98.2.224.
20. Hall P.A., Fong G.T. The effects of a brief time perspective intervention for increasing physical activity among young adults. Psychology and Health 2003, 18(6):685-706.
21. Hall P.A., Fong G.T. Temporal self-regulation theory: a model for individual health behavior. Health Psychology Review 2007, 1(1):6-52.
22. Harada N.D., Chiu V., King A.C., Stewart A.L. An evaluation of three self-report physical activity instruments for older adults. Medicine and Science in Sports and Exercise 2001, 33(6):962-970.
23. Haskell W.L., Lee I.-M., Pate R.R., Powell K.E., Blair S.N., Franklin B.A., et al. Physical activity and public health: updated recommendation for adults from the American College of Sports Medicine and the American Heart Association. Medicine and Science in Sports and Exercise 2007, 39(8):1423-1434.
24. Hooker K. Possible selves and perceived health in older adults and college students. Journal of Gerontology: Psychological Sciences 1992, 47(2):P85-P95.
25. Jozsi A.C., Campbell W.W., Joseph L., Davey S.L., Evans W.J. Changes in power with resistance training in older and younger men and women. The Journals of Gerontology Series A: Biological Sciences and Medical Sciences 1999, 54(11):M591-M596. 10.1093/gerona/54.11.M591.
26. Kline R.B. Principles and practice of structural equation modeling 2005, Guilford Press, New York, NY. 2nd ed.
27. Lang F.R., Carstensen L.L. Time counts: future time perspective, goals, and social relationships. Psychology and Aging 2002, 17(1):125-139.
28. Lanza S.T., Flaherty B.P., Collins L.M. Latent class and latent transition analysis. Handbook of psychology: Research methods in psychology 2003, 663-685. Wiley, New York, NY. J.A. Schinka, W.A. Velicer (Eds.).
29. Lanza S.T., Rhodes B.L., Nix R.L., Greenberg M.T. Modeling the interplay of multilevel risk factors for future academic and behavior problems: a person-centered approach. Development and Psychopathology 2010, 22(02):313-335. 10.1017/S0954579410000088.
30. Lo Y., Mendell N., Rubin D. Testing the number of components in a normal mixture. Biometrika 2001, 88:767-778.
31. Markland D., Ingledew D.K. The measurement of exercise motives: factorial validity and invariance across gender of a revised Exercise Motivations Inventory. British Journal of Health Psychology 1997, 2:361-376.
32. Markus H.R., Kitayama S. Culture and the self: implications for cognition, emotion, and motivation. Psychological Review 1991, 98:224-253.
33. Marsh H.W., Lüdtke O., Trautwein U., Morin A.J.S. Classical latent profile analysis of academic self-concept dimensions: synergy of person- and variable-centered approaches to theoretical models of self-concept. Structural Equation Modeling: A Multidisciplinary Journal 2009, 16(2):191-225. 10.1080/10705510902751010.
34. McAuley E., Motl R.W., White S.M., Wójcicki T.R. Validation of the Multidimensional Outcome Expectations for Exercise Scale in ambulatory, symptom-free persons with multiple sclerosis. Archives of Physical Medicine and Rehabilitation 2010, 91(1):100-105.
35. McLachlan G.J., Peel D. Finite mixture models 2000, Wiley, New York.
36. Mervielde I., Asendorpf J.B. Variable-centered and person-centered approaches to childhood personality. Advances in personality psychology 2000, Vol. 1:37-76. Psychology Press, Philadelphia.
37. Merz E.L., Roesch S.C. Alatent profile analysis of the Five Factor Model of personality: modeling trait interactions. Personality and Individual Differences 2011, 51(8):915-919. 10.1016/j.paid.2011.07.022.
38. Muthén B. Latent variable analysis: growth mixture modeling and related techniques for longitudinal data. The Sage handbook of quantitative methodology for the social sciences 2004, 345-368. D.W. Kaplan (Ed.).
39. Muthén L., Muthén B. Mplus user's guide 1998-2010, Muthén & Muthén, Los Angeles, CA. 6th ed.
40. Muthén B., Muthén L. Integrating person-centered and variable-centered analysis: growth mixture modeling with latent trajectory classes. Alcoholism: Clinical and Experimental Research 2000, 24:882-891.
41. Nelson M.E., Rejeski W.J., Blair S.N., Duncan P.W., Judge J.O., King A.C., et al. Physical activity and public health in older adults: recommendation from the American College of Sports Medicine and the American Heart Association. Medicine and Science in Sports and Exercise 2007, 39(8):1435-1445.
42. Nylund K.L., Asparouhov T., Muthén B. Deciding on the number of classes in latent class analysis and growth mixture modeling: a Monte Carlo simulation study. Structural Equation Modeling 2007, 14(4):535-569.
43. Pelletier L.G., Sharp E. Persuasive communication and proenvironmental behaviours: how message tailoring and message framing can improve the integration of behaviours through self-determined motivation. Canadian Psychology 2008, 49(3):210-217.
44. Poon C.Y.M., Fung H.H. Physical activity and psychological well-being among Hong Kong Chinese older adults: exploring the moderating role of self-construal. International Journal of Aging and Human Development 2008, 66(1):1-19.
45. Roeser R.W., Eccles J.S., Sameroff A.J. Academic and emotional functioning in early adolescence: longitudinal relations, patterns, and prediction by experience in middle school. Development and Psychopathology 1998, 10(02):321-352. doi: doi:null.
46. Rogers R.W. Cognitive and physiological processes in fear appeals and attitude change: a revised theory of protection motivation. Social psychophysiology 1983, Guilford Press, New York. J. Cacioppo, R. Petty (Eds.).
47. Satorra A., Bentler P. Ascaled difference chi-square test statistic for moment structure analysis. Psychometrika 2001, 66(4):507-514. 10.1007/bf02296192.
48. Schumacker R.E., Lomax R.G. Abeginner's guide to structural equation modeling 2004, Lawrence Erlbaum Associates, Mahwah, NJ. 2nd. ed.
49. Smith A.L., Ullrich-French S., Walker E., Hurley K.S. Peer relationship profiles and motivation in youth sport. Journal of Sport and Exercise Psychology 2006, 28:362-382.
50. Stuntz C.P., Weiss M.R. Achievement goal orientations and motivational outcomes in youth sport: the role of social orientations. Psychology of Sport and Exercise 2009, 10(2):255-262. 10.1016/j.psychsport.2008.09.001.
51. Tofighi D., Enders C.K. Identifying the correct number of classes in a growth mixture model. Mixture models in latent variable research 2007, 317-341. Information Age, Greenwich, CT. G.R. Hancock (Ed.).
52. Tulloch H., Reida R., D'Angeloa M.S., Plotnikoff R.C., Morrina L., Beatona L., et al. Predicting short and long-term exercise intentions and behaviour inpatients with coronary artery disease: a test of protection motivation theory. Psychology & Health 2009, 24(3):255-269. 10.1080/08870440701805390.
53. Vermunt J., Magidson J. Latent class cluster analysis. Applied latent class analysis 2002, 89-106. Cambridge University Press. J. Hagenaars, A. McCutcheon (Eds.).
54. White S.M., Wójcicki T.R., McAuley E. Social cognitive influences onphysical activity behavior in middle-aged and older adults. The Journals ofGerontology Series B: Psychological Sciences and Social Sciences 2012, 67(1):18-26.
55. Williams D.M., Anderson E.S., Winett R.A. Areview of the outcome expectancy construct in physical activity research. Annals of Behavioral Medicine 2005, 29(1):70-79.
56. Wójcicki T.R., White S.M., McAuley E. Assessing outcome expectations in older adults: the Multidimensional outcome expectations for exercise scale. Journal of Gerontology: Psychological Sciences 2009, 64B(1):33-40. 10.1093/geronb/gbn032.
57. Yang C.-C. Evaluating latent class analysis models in qualitative phenotype identification. Computational Statistics & Data Analysis 2006, 50(4):1090-1104. 10.1016/j.csda.2004.11.004.
58. Yan J.H., McCullagh P. Cultural influence on youth's motivation of participation in physical activity. Journal of Sport Behavior 2004, 27(4):378-390.
59. Yeung D.Y., Fung H.H., Lang F.R. Self-construal moderates age differences in social network characteristics. Psychology and Aging 2008, 23(1):222-226.
60. Ziegelmann J.P., Lippke S., Schwarzer R. Subjective residual life expectancy in health self-regulation. Journal of Gerontology: Psychological Sciences 2006, 61B(4):P195-P201.