THE RELATIONSHIP BETWEEN SOCIOECONOMIC FACTORS AND PHYSICAL FITNESS VARIABLES AMONG KOREAN ADULTS

被引:2
作者
Choi, Eun-Ju [1 ]
Yoo, Byoung-Wook [2 ]
So, Wi-Young [3 ]
Jang, Seyong [4 ]
机构
[1] Konkuk Univ, Div Sport Sci, Coll Sci & Technol, Chungju Si, South Korea
[2] SPKOREA, Dept Sports Sci, Busan, South Korea
[3] Korea Natl Univ Transportat, Sports & Hlth Care Major, Coll Humanities & Arts, Chungju Si, South Korea
[4] Sungkyunkwan Univ, Dept Sport Sci, Suwon, South Korea
关键词
household income; occupation; region; physical fitness; socioeconomic factors; ALL-CAUSE MORTALITY; LEISURE-TIME; RISK-FACTORS; CARDIOVASCULAR-DISEASE; ADOLESCENTS; WOMEN; URBAN; URBANIZATION; CHILDREN; EXERCISE;
D O I
10.22347/1875-6859.13.1.5
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Background: The relationship between socioeconomic status and physical fitness level is unclear. Therefore, this study examined the relationship between socioeconomic factors and physical fitness among Korean adults. Participants: A retrospective analysis of the physical fitness and demographic data extracted from the 2013 National Fitness Award project conducted in Korea. The data from 1,690 men and 1,982 women, 19-64 years-old, were included. Sampling strategy, using 14 clusters and stratification levels, ensured a national representation of the Republic of Korea. The following physical fitness variables were included in the analysis: time on the 50 metre dash run, repetitions of shuttle run, distance of standing long jump, distance of sit-and-reach, number of sit-ups in 1 minute, and grip strength. Multivariate logistic regression analyses were performed to examine whether physical fitness levels were related to occupation (physically active, non-active and other), household income (divided into quartiles) and location of residence (rural or urban), adjusting for age and sex. Results: Participants with physically active occupations had higher fitness levels than those with non-active and other occupations. As the household income increased, the fitness levels also tended to increase. Participants living in a small city had higher fitness levels than those living in a large city, except on the 50 metre dash run. Conclusions: Physical fitness variables could be affected by socioeconomic status.
引用
收藏
页码:E37 / +
页数:8
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