Self-Regulation and Social Environment for Predicting the Discriminants of Physical Fitness among The Elderly People in Bangkok.

Main Article Content

Sasibangon Tummakun
Parinya Reangtip

Abstract

Objectives: This research aimed 1) to study the relationship of self-regulation and social environment with the physical fitness of well elderly people in Bangkok and 2), to create an equation to predict the classification of physical fitness based on self- regulation and social environment.


Method: Purposive sampling was used to select 406 male and female well elderly people in Bangkok with an age range 60-69 years. Research instruments were 1) self-regulation questionnaires; 2) social environment questionnaires; and 3) physical fitness tests. Descriptive statistic of participants, general information, namely Percentage, Mean, Standard Deviation, Variable correlation was analyzed by canonical analysis, creating a physical fitness prediction equation by using multiple discriminant analysis.


The results were as follows: 1) The set of predictive variables: self-regulation and social environment, and the physical fitness measures were significantly correlated at the .05 level. 2) Self-regulation and social environment enable to predict the classification of physical fitness among the elderly in Bangkok which can predict male (63.30%) and female (73.20%). In which males have multiple discriminant equations in the form of classification coefficients is gif.latex?\widehat{D_{1}} = -11.34 + 1.94 (Self-Observation) + 0.82 (Judgment Process) + 0.06 (Self-Reaction) - 0.24 (Residential Character) - 0.60 (Family Relationship) + 0.97 (Social Participation) and gif.latex?\widehat{D_{2}} = -6.76 - .69 (Self-Observation) + 0.06 (Judgment Process) + 1.44 (Self-Reaction) + 1.15 (Residential Character) + 1.17 (Family Relationship) – 1.43 (Social Participation). In which females have multiple discriminant equations in the form of classification coefficients is gif.latex?\widehat{D_{1}} = -2.40 + 0.38 (Self-Observation) + 0.25 (Judgment Process) + 0.72 (Self-Reaction) – 1.26 (Residential Character) + 0.87 (Family Relationship) – 0.29 (Social Participation) and gif.latex?\widehat{D_{2}} = -13.31 – 0.64 (Self-Observation) – 0.45 (Judgment Process) + 1.34 (Self-Reaction) + 1.35 (Residential Character) – 0.34 (Family Relationship) + 1.49 (Social Participation)


Conclusion: Show that self-regulation and social environment variables significantly correlate and can predicts the classification of physical fitness among the elderly in Bangkok.

Article Details

How to Cite
Tummakun, S., & Reangtip, P. (2019). Self-Regulation and Social Environment for Predicting the Discriminants of Physical Fitness among The Elderly People in Bangkok. Vajira Medical Journal : Journal of Urban Medicine, 63(2), 141–156. Retrieved from https://he02.tci-thaijo.org/index.php/VMED/article/view/211616
Section
Original Articles

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