Relationships Between University Students’ Gender and Physical Activity (PA) and Their Exercise Self-Schemas,Processing of PA-Related Information,and PA Decision-Making

Abstract

In the current study, we investigated the effects of gender and regular physical activity (PA) on PA decision-making and speed of information processing. We enrolled 110 university students (Mage = 20.91, SD =2.28 years) in an experiment involving two tasks and a questionnaire. One of the two tasks assessed how much participants agreed with presented PA words and phrases and the other task predicted behavior and responses to future situations. We collected and measured the participants’ choices and the time they took to make them. The questionnaire, the International Physical Activity Questionnaire (IPAQ), consisted of exercise self-schema and PA questions. We conducted a 2 (gender: male or female) ×2 (regular PA or not) multivariate analysis of variance (MANOVA) and found statistically significant differences between variables as a function of participants’ gender (λ = .66, p < .001) and regular PA engagement (λ = .51, p < .001). In a regression analysis, we also found gender differences [males showed relationships between agreement with PA information and information processing speed for decisions on future behavior (R² = .31, F = 12.50); females showed relationships between their exercise self-schema (R² = .26, F = 18.18) and regular PA such that, in the non-regular PA group, exercise self-schema was related to reaction time in making decisions on future behavior (R² = .29, F = 11.23), and in the regular PA group, agreement with PA information was related to reaction time for PA-related words, and agreement with non-PA information (R² = .29, F = 8.91)]. These results highlight the need to consider participant characteristics when designing exercise interventions, and we present supplementary data regarding exercise self-schemas, decision-making, and the speed of processing PA information.

Keywords

IPAQ physical activity exercise self-schema speed of information processing health behaviors

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References

Kim

Kang

(2020). Effects of exercise information using social network service (SNS) on physical activity and psychological variables among inactive college students. Korean Journal of Sport Science, 31(2), 189–201.

Berry

T. R.

Strachan

S. M.

(2012). Implicit and explicit exercise and sedentary identity. Research Quarterly for Exercise and Sport, 83(3), 479–484. https://doi.org/10.1080/02701367.2012.10599883

Blissmer

McAuley

(2002). Testing the requirements on stage of physical activity among adults: The comparative effectiveness of stage-matched, mismatched, standard care, and control interventions. Annals of Behavioral Medicine, 24(3), 181–189. https://doi.org/10.1207/S15324796ABM2403_03

Boyd

M. P.

Yin

(1999). Cognitive-affective and behavioral correlates of self-schemata in sport. Journal of Sport Behavior, 22(2), 288–302.

Chun

M. Y.

Yang

Y. J.

Kim

B. S.

Kang

J. H.

(2012). Validity and reliability of Korean version of international physical activity questionnaire (IPAQ) short form. Korean Journal of Family Medicine, 33(7), 144–241. https://doi.org/10.4082/kjfm.2012.33.3.144

Estabrooks

Courneya

K. S.

(1997). Relationships among self-schemas, intention, and exercise behavior. Journal of Sport & Exercise Psychology, 19(2), 156–168. https://doi.org/10.1123/jsep.19.2.156

Gleitman

Gross

J. J.

Reisberg

(2011). Psychology (pp. 340–345). W. W. Norton & Co.

Hamer

Kivimäki

Gale

C. R.

Batty

G. D.

(2020). Lifestyle risk factors, inflammatory mechanisms, and COVID-19 hospitalization: A community-based cohort study of 387,109 adults in UK. Brain, Behavior, and Immunity, 87(9), 184–187. https://doi.org/10.1016/j.bbi.2020.05.059

Kang

(2008). The effect of response latency for self-schema of attitudes to authority in honest and distortion group. [Master’s thesis, Sungkyunkwan.

10.

Kendzierski

(1988). Self-schemata and Exercise. Basic and Applied Social Psychology, 9(1), 45–59. https://doi.org/10.1207/s15324834basp0901_4

11.

Kendzierski

(1990). Exercise self-schemata: Cognitive and behavioral correlates. Health Psychology, 9(1), 69–82. https://doi.org/10.1037//0278-6133.9.1.69

12.

Kim

Byun

Lee

(2012). Validation of the ego-resiliency scale to stages of exercise behavior change through rasch model. The Korean Journal of Measurement and Evaluation in Physical Education and Sports Science, 14(1), 69–82. https://doi.org/10.21797/ksme.2012.14.1.007

13.

Kim

Kang

Park

(2016). Health risk perception according to gender and physical activity level in middle-aged adults. Korean Journal of Sport Psychology, 27(3), 57–69.

14.

Kim

E. G.

(2010). The effects of knowledge manipulation on schemas formation. The Korean Journal of School Psychology, 7(1), 19–35.

15.

Kim

H. S.

(2020). An understanding motologie with symbolic theories and image schemas of cognitive linguistics. Journal of Motologie, 6(1), 47–62.

16.

Kong

J. H.

Lee

H. R.

Park

C. G.

Baek

M. H.

Choi

H. O.

(2019). The study of exercise self-schema and exercise behavior in nursing students. Journal of the Korea Convergence Society, 10(12), 495–502. https://doi.org/10.15207/JKCS.2019.10.12.495

17.

Korea Centers for Disease Control (2020). What are the symptoms of COVID-19?—frequently asked Questions for KCDC on COVID-19. http://ncov.mohw.go.kr/

18.

Lee

Park

(2018). An empirical approach to the influence factor of exercise self-schema. Korean Journal of Sport Psychology, 29(1), 43–55.

19.

Lee

(2014). The effects of exercise self-schema and exercise self-efficacy on physical activity in the twenties. Korean Journal of Sports Science, 23(4), 497–509.

20.

Lim

(2019). Effect of exercise commitment on the relationship between exercise self-schemas and exercise persistence of elementary tennis players. The Korean Journal of Sport, 17(4), 965–974.

21.

Markus

(1977). Self-schemata and processing information about the self. Journal of Personality and Social Psychology, 35(2), 63–78. https://doi.org/10.1037/0022-3514.35.2.63

22.

Park

I. K.

Kang

S. J.

(2016). Physical activity and relationship with exercise self-schema, exercise imagery and exercise self-efficacy in adults. Korean Journal of Sport Psychology, 27(1), 21–34.

23.

Park

Kim

(2019). The effects of exercise knowledge and health risk perception on physical activity in college student. The Korean Journal of Sport, 17(2), 163–177.

24.

Park

(2012). Development and validation of exercise self-schemata scale. Korean Journal of Sport Psychology, 23(2), 41–55.

25.

Park

Kim

Park

(2016). The effect of exercise self-schema on reaction time about physical activity information and physical activity. Korean Journal of Sport Psychology, 27(2), 65–78.

26.

Park

I. K.

(2011). An empirical approach to the nature of exercise self-schemata. The Korean Journal of Physical Education, 50(6), 235–247.

27.

Park

(2020). Verification of the structural relationship among exercise image, exercise self-schematic, exercise persistence of elementary school tennis players. The Korean Journal of the Elementary Physical Education, 26(1), 81–93.

28.

Rhodes

R. E.

Yao

C. A.

(2015). Models accounting for intention-behavior discordance in the physical activity domain: A user’s guide, content overview, and review of current evidence. International Journal of Behavioral Nutrition and Physical Activity, 12(9), 1–15. https://doi.org/10.1186/s12966-015-0168-6

29.

Rhodes

R. E.

Kaushal

Quinlan

(2016). Is physical activity a part of who I am? A review and meta-analysis of identity, schema and physical activity. Health Psychology Review, 10(2), 204–225. https://doi.org/10.1080/17437199.2016.1143334

30.

Sheeran

Gollwitzer

P. M.

Bargh

J. A.

(2013). Nonconscious processes and health. Health Psychology, 32(5), 460–473. https://doi.org/10.1037/a0029203

31.

Song

Lim

Kim

(2019). Relations between exercise self-schema and temptation of quitting exercise according to the stages of exercise change among participants in sports for all. Journal of the Korea Convergence Society, 10(4), 219–227. https://doi.org/10.15207/JKCS.2019.10.4.219

32.

Sun

B.-W.

Yoon

I.-A.

(2020). The effect of exercise self-schema on self-efficacy, exercise emotion, and exercise adherence intention in middle and high school students participating in voluntary sports activities. Korean Journal of Sports Science, 29(2), 369–382.

33.

Thomas

J. D.

Vanness

J. M.

Cardinal

B. J.

(2016). Physical fitness and self-image: An evaluation of the exercise self-schema questionnaire using direct measures of physical fitness. International Journal of Exercise Science, 9(3), 445–459.

34.

Woo

Park

(2015). The casual relationship between exercise needs and exercise self-schema of the students participating in university physical activity classes. Korean Journal of Sports Science, 24(4), 497–509.

35.

World Health Organization (2020). Coronavirus disease (COVID-19) Weekly epidemiological update—24 August 2020. https://www.who.int/publications/m/item/weekly-epidemiological-update-24-august-2020.

36.

Xie

Lundberg

D. J.

Collins

J. M.

Johnston

S. S.

Waggoner

J. R.

Hsiao

C.-W.

Preston

S. H.

Manson

J. E.

Stokes

A. C.

(2020). Association of weight loss between early adulthood and midlife with all-cause mortality risk in the US. JAMA Network Open, 3(8), e2013448. https://doi.org/10.1001/jamanetworkopen.2020.13448

37.

Yin

Boyd

M. P.

(2000). Behavioral and cognitive correlates of exercise self-schemata. The Journal of Psychology, 134(3), 269–282. https://doi.org/10.1080/00223980009600867