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HOME > J Korean Acad Community Health Nurs > Volume 24(3); 2013 > Article
Original Article
A Study on Gender Differences in Influencing Factors of Office Workers' Physical Activity
Duck Hee Chae, Su Hee Kim, Chung Yul Lee
Journal of Korean Academy of Community Health Nursing 2013;24(3):273-281.
Published online: September 30, 2013
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1College of Nursing, Yonsei University, Seoul, Korea.

2Graduate School, Yonsei University, Seoul, Korea.

3College of Nursing·Nursing Policy Research Institute, Yonsei University, Seoul, Korea.

• Received: April 1, 2013   • Accepted: August 21, 2013

© 2013 Korean Academy of Community Health Nursing

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License ( which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

  • Purpose
    The purpose of this study was to determine gender differences in effects of self-efficacy, exercise benefits and barriers, and demographic factors on the physical activity.
  • Methods
    Seventy sedentary office workers, 35 male and 35 female, from a major airline company, completed a questionnaire from March 28 to April 5, 2012. Steps and body mass indices were measured using a CW-700/701 (Yamax) pedometer and Inbody 720 (Biospace), respectively. Data were analyzed using t-test, χ2-test, multiple linear regression, and simultaneous quantile regression.
  • Results
    For male workers, exercise self-efficacy had a significant effect on physical activity, but only when respondents were at 10%(3,431 steps/day, p=.018) and 25%(4,652 steps/day, p=.044) of the physical activity distribution. For female workers, marital status was significantly related to physical activity, but only when respondents were at 10% (3,537 steps/day, p=.013) and 25%(3,862 steps/day, p=.014) of the physical activity distribution.
  • Conclusion
    Quantile regression highlights the heterogeneous effect of physical activity determinants among office workers. Therefore intervention strategies for increasing physical activity should be tailed to genders as well as physical activity levels.
Table 1
Demographic, Physical and Psychosocial Characteristics of Male and Female Office Workers

PEH=previous exercise habit; MHI=monthly household income; BMI=body mass index.

Table 2
Male Worker's Quantile Regression Results by Daily Steps

BMI=body mass index; EBB=exercise benefits/barriers; ESE=exercise self-efficacy.


Table 3
Female Worker's Quantile Regression Results by Daily Steps

BMI=body mass index; EBB=exercise benefits/barriers; ESE=exercise self-efficacy.


This research was supported by the faculty-student research grant funded by the Nursing Policy Research Institute, Yonsei University College of Nursing.

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