Is age just a number? Differences in exercise participatory motives across adult cohorts and the relationships with exercise behaviour

被引:15
作者
Box, Allyson G. [1 ]
Feito, Yuri [2 ]
Matson, Ashton [3 ]
Heinrich, Katie M. [4 ]
Petruzzello, Steven J. [1 ]
机构
[1] Univ Illinois, Dept Kinesiol & Community Hlth, Urbana, IL USA
[2] Kennesaw State Univ, Dept Exercise Sci & Sport Management, Kennesaw, GA 30144 USA
[3] Univ Arkansas, Dept Hlth Human Performance & Recreat, Fayetteville, AR 72701 USA
[4] Kansas State Univ, Dept Kinesiol, Manhattan, KS 66506 USA
关键词
self-determination theory; high-intensity; fitness; CrossFit; SELF-DETERMINATION THEORY; PHYSICAL-ACTIVITY; MOTIVATIONAL FACTORS; CROSSFIT; BENEFITS; FITNESS;
D O I
10.1080/1612197X.2019.1611903
中图分类号
F [经济];
学科分类号
02 ;
摘要
There is a lack of understanding as to how exercise motives differ across age cohorts. Over the last decade, CrossFit training (CFT) has emerged as a forerunner in the fitness industry, which seems to appeal to a large number of individuals. Thus, the purpose of this study was to examine participatory motives among individuals of different age cohorts who engage in CFT. Methods: 735 adults (32.4 +/- 8.1 years; 53.1% male) with at least 3-months of CF experience completed an online version of the Exercise Motivation Inventory (EMI-2) survey. Participants were divided into four age-cohorts: College age (n=123), Young adult (n=291), Middle age (n=288), and Older adult (n=33). Results: Significant differences were found between age cohorts and participatory motives (F-s (3, 731)=3.29-22.42, p(s) < .03, eta(2)p = .012-.084). Overall, older participants scored higher on health-related motives, while younger participants scored higher on social motives relative to their counterparts. Conclusions: This study provides a first look into motives for CFT across different age cohorts. Encouragement of exercise programmes that support relevant motives for different age groups could be more effective for exercise adherence and promotion of long-term health benefits.
引用
收藏
页码:61 / 73
页数:13
相关论文
共 34 条
[1]  
[Anonymous], 2014, NUMBERS GROWTH CROSS
[2]   Leisure Time Physical Activity and Mortality A Detailed Pooled Analysis of the Dose-Response Relationship [J].
Arem, Hannah ;
Moore, Steven C. ;
Patel, Alpa ;
Hartge, Patricia ;
de Gonzalez, Amy Berrington ;
Visvanathan, Kala ;
Campbell, Peter T. ;
Freedman, Michal ;
Weiderpass, Elisabete ;
Adami, Hans Olov ;
Linet, Martha S. ;
Lee, I. -Min ;
Matthews, Charles E. .
JAMA INTERNAL MEDICINE, 2015, 175 (06) :959-967
[3]  
Bycura D, 2017, HEALTH BEHAV POLICY, V4, P539, DOI 10.14485/HBPR.4.6.4
[4]  
Centers for Disease Control, 2014, FACTS PHYS ACT
[5]  
Davies M.J., 2016, Journal of Sport Behavior, V39, P239, DOI DOI 10.1037/T03491-000
[6]   Self-Determination Theory: A Macrotheory of Human Motivation, Development, and Health [J].
Deci, Edward L. ;
Ryan, Richard M. .
CANADIAN PSYCHOLOGY-PSYCHOLOGIE CANADIENNE, 2008, 49 (03) :182-185
[7]  
Dishman R, 1982, Quest, V33, P166, DOI [DOI 10.1080/00336297.1981.10483752, 10.1080/00336297.1981.10483752]
[8]  
Duda J.L., 1989, AGING MOTOR BEHAV, P239
[9]   Improving health- related fitness in adolescents: the CrossFit Teens™ randomised controlled trial [J].
Eather, Narelle ;
Morgan, Philip James ;
Lubans, David Revalds .
JOURNAL OF SPORTS SCIENCES, 2016, 34 (03) :209-223
[10]   Statistical power analyses using G*Power 3.1: Tests for correlation and regression analyses [J].
Faul, Franz ;
Erdfelder, Edgar ;
Buchner, Axel ;
Lang, Albert-Georg .
BEHAVIOR RESEARCH METHODS, 2009, 41 (04) :1149-1160