A Study on Gender Differences in Influencing Factors of Office Workers' Physical Activity

Duck Hee Chae; Su Hee Kim; Chung Yul Lee

doi:10.12799/jkachn.2013.24.3.273

Articles

Page Path: 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.
DOI: https://doi.org/10.12799/jkachn.2013.24.3.273
Published online: September 30, 2013

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

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

668 Views
3 Download
11 Crossref

Full Article

Download PDF

Abstract
NOTES

Abstract

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.
Key Words: Physical activity; Workers; Gender; Regression

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.

^*p<.05.

Table 3

Female Worker's Quantile Regression Results by Daily Steps

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

^*p<.05.

NOTES

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

1. Bandura A. Self-efficacy: The exercise of control. New York: Freeman & Co; 1997.
2. Bittman M, Wajcman J. The rush hour: The character of leisure time and gender equity. Soc Forces. 2000;79(1):165–189. Article
3. Brown WJ, Trost SG. Life transitions and changing physical activity patterns in young women. Am J Prev Med. 2003;25(2):140–143. Article PubMed
4. Centers for Disease Control and Prevention. About BMI for adults 2011;Retrieved January 29, 2013. from http://www.cdc.gov/healthyweight/assessing/bmi/adult_bmi/index.html
5. Del Duca GF, Nahas MV, Garcia LM, Mota J, Hallal PC, Peres MA. Prevalence and sociodemographic correlates of all domains of physical activity in Brazilian adults. Prev Med. 2013;56(2):99–102. Article PubMed
6. Hao L, Naiman DQ. Quantile regression. Thousand Oaks, CA: Sage Publications; 2007.
7. Jang HJ, Shin YH. The cultural verification and psychometric evaluation of the exercise benefits/barriers scale for Korean adults with chronic disease In: Paper presented at the meeting of the 1st Asian-Pacific Nursing Congress Conference; Seoul, Korea. 1999;12.
8. Kaewthummanukul T, Brown KC. Determinants of employee participation in physical activity: Critical review of the literature. AAOHN J. 2006;54(6):249–261. PubMed
9. Kim EK, Kim BG, Park JT, Kim HR, Koo JW. Factors affecting the health promotion activities of workers. Korean J Occup Environ Med. 2007;19(1):56–64. Article PDF
10. Kim HK, Kim MJ, Park CG, Kim HO. Do the determinants of physical activity change by physical activity level? J Adv Nurs. 2009;65(4):836–843. Article PubMed
11. Kim YS. Wage determinants in the Korean labour market. Korean J Ind Relat. 2009;19(2):1–25.
12. Koenker R, Bassett G. Regression quantiles. Econometrica. 1978;46(1):33–50. Article
13. Korean Statistical Information Service. Monthly report on the economically active population survey 2013;Retrieved March, 22, 2013. from http://kosis.kr/wnsearch/totalSearch.jsp
14. Lee S, Cho E, Grodstein F, Kawachi I, Hu FB, Colditz GA. Effects of marital transitions on changes in dietary and other health behaviours in US women. Int J Epidemiol. 2005;34(1):69–78. Article PubMed
15. Lim SJ. The effects of prevalence and metabolic syndrome index on life style of adults. Chuncheon: Kangwon National University; 2011. Unpublished master' thesis.
16. McAuley E, Courneya KS, Rudolph DL, Lox CL. Enhancing exercise adherence in middle-aged males and females. Prev Med. 1994;23(4):498–506. Article PubMed
17. Ministry of Health & Welfare. Korea health statistics 2010: Korea National Health & Nutrition Examination Survey (KNHANES v-1). Seoul: Author; 2011.
18. Muto T, Saito T, Sakurai H. Factors associated with male workers' participation in regular physical activity. Ind Health. 1996;34(4):307–322. Article PubMed
19. Nomaguchi KM, Bianchi SM. Exercise time: Gender differences in the effects of marriage, parenthood, and employment. J Marriage Fam. 2004;66(2):413–430. Article
20. Pitsavos C, Panagiotakos DB, Lentzas Y, Stefanadis C. Epidemiology of leisure-time physical activity in socio-demographic, lifestyle and psychological characteristics of men and women in Greece: The ATTICA Study. BMC Public Health. 2005;5:37.Article PubMed PMC PDF
21. Sallis JF, Hovell MF, Hofstetter CR. Predictors of adoption and maintenance of vigorous physical activity in men and women. Prev Med. 1992;21(2):237–251. Article PubMed
22. Sechrist KR, Walker SN, Pender NJ. Development and psychometric evaluation of the exercise benefits/barriers scale. Res Nurs Health. 1987;10(6):357–365. Article PubMed
23. Seo KM. Analysis of physical activity in male office workers. J Korean Community Nurs. 2003;14(1):95–105.
24. Shin Y, Jang HJ, Pender NJ. Psychometric evaluation of the exercise self-efficacy scale among Korean adults with chronic diseases. Res Nurs Health. 2001;24(1):68–76. Article PubMed
25. Schmidt CM, Tauchmann H. Heterogeneity in the intergenerational transmission of alcohol consumption: a quantile regression approach. J Health Econ. 2011;30(1):33–42. Article PubMed
26. Steele R, Mummery K. Occupational physical activity across occupational categories. J Sci Med Sport. 2003;6(4):398–407. Article PubMed
27. Stutts WC. Physical activity determinants in adults. Perceived benefits, barriers, and self efficacy. AAOHN J. 2002;50(11):499–507. PubMed
28. Tudor-Locke C, Bassett DR. How many steps/day are enough? Preliminary pedometer indices for public health. Sports Med. 2004;34(1):1–8. PubMed
29. Tudor-Locke C, Sisson SB, Lee SM, Craig CL, Plotnikoff RC, Bauman A. Evaluation of quality of commercial pedometers. Can J Public Health. 2006;97(Supp 1):S10–S15. S10–S16. Article PubMed PMC PDF
30. World Health Organization. Physical inactivity: A global public health problem 2011;Retrieved March 21, 2011. from http://www.who.int/dietphysicalactivity/factsheet_inactivity/en/

Figure & Data

References

Citations

Citations to this article as recorded by

Health promotion program for office workers with SEM based on the WHO’s healthy workplace framework
Hosihn Ryu, Jiyeon Jung, Jihyun Moon
Health Promotion International.2020; 35(6): 1369. CrossRef
The association between low frequency of having breakfast and dyslipidemia in South Korean men and women
Doo Woong Lee, Dong-Woo Choi, Yeong Jun Ju, Sang Ah Lee, Eun-Cheol Park
European Journal of Clinical Nutrition.2019; 73(6): 896. CrossRef
Physical Activity of Workers in a Hospital
So Jun, Jaewon Kim, Hyehoon Choi, Joon Kim, Seong Lim, Bomi Sul, Bo Hong
International Journal of Environmental Research and Public Health.2019; 16(4): 532. CrossRef
Program Development and Effectiveness of Workplace Health Promotion Program for Preventing Metabolic Syndrome among Office Workers
Hosihn Ryu, Jiyeon Jung, Jeonghyun Cho, Dal Chin
International Journal of Environmental Research and Public Health.2017; 14(8): 878. CrossRef
Unhealthy Lifestyle Behaviors in Korean People with Metabolic Syndrome
Seongmi Moon
Journal of Community Health Nursing.2017; 34(2): 69. CrossRef
Body Composition and Dietary Self-efficacy of Nursing Students
Hyoung-Sook Park, Jae-Hyun Ha, Hyun-Ju Lee
Journal of muscle and joint health.2016; 23(2): 95. CrossRef
Effects of the Health Support Network Project on Musculoskeletal Disorders of Females
Deok-Ju Kim, Hee-Jung Han, Yeong-Ae Yang
The Korean Journal of Health Service Management.2015; 9(1): 169. CrossRef
Factors Influencing Exercise Behavior of the Male Manual Worker and Office Worker based on Health Promotion Model
SeungKyoung Yang, Yeongmi Ha, Mi-Ra Jung
Korean Journal of Occupational Health Nursing.2015; 24(3): 235. CrossRef
Relationship Between the Physical Activity Levels and Health Care Utilization in Korean Elderly
Kwang-Il Kwak, Chang-Hee Baek, So-Yeon Ryu
Journal of the Korea Academia-Industrial cooperation Society.2015; 16(1): 617. CrossRef
Study of the physical condition of middle-aged workers by gender
SooHee Park, DeokJu Kim
Journal of Physical Therapy Science.2015; 27(3): 841. CrossRef
A Comparison of the Physical Activity of Hematopoietic Stem Cell Transplantation Patients and Healthy People
A Rum Han, Jeong Yun Park
Asian Oncology Nursing.2014; 14(4): 221. CrossRef

Country-specific access statistics

Country	Reference
United States	81

Excel Download

PubReader
Cite

CITE

export Copy Format

Close

XML Download

We recommend