Learning Objective 1: The learner will be able to understand the heterogeneous physical activity determinants among white-collar workers.
Learning Objective 2: The learner will be able to discuss intervention strategies for increasing physical activity according to gender as well as level of physical activity.
Methods: A cross-sectional analysis of the baseline data was conducted to examine 70 sedentary white-collar workers (35 male, 35 female) from a major airline company in Korea participating 8-week workplace physical activity intervention. Steps were measured using a Yamax CW-700/701 pedometer. Simultaneous quantile regression was used to identify the degree of homogeneity in the effects of self-efficacy, exercise benefits and barriers, and demographic factors on level of physical activity.
Results: For male workers, exercise self-efficacy had a significant effect on physical activity, but only when respondents were at 10% (3431 steps/day, β=109.0, p=.018) and 25% (4653 steps/day, β=78.9, p=.044) quantiles. For female workers, marital status was significantly related to physical activity, but only when respondents were at 10% (3537 steps/day, β=-2316.4, p=.013) and 25% (3862 steps/day, β=-2286.3, p=.014) quantiles.
Conclusion: This study findings highlight the heterogeneous physical activity determinants among white-collar workers. Therefore intervention strategies for increasing physical activity should be tailored to gender as well as degree of physical activity level.
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