evidence base for sedentary and PA behavior in “blue-collar” workers is arguably much less well developed. There seems to be no agreed-upon definition of “blue-collar” work, with the term historically reflecting the uniform requirements of workers who performed manual labor. We, therefore, defined “blue
Nicholas D. Gilson, Caitlin Hall, Andreas Holtermann, Allard J. van der Beek, Maaike A. Huysmans, Svend Erik Mathiassen and Leon Straker
Justin H. Rigby and Austin M. Hagan
dependent on the photobiomodulation therapy’s wavelength, which determines the therapy’s specific color of light. 2 Different wavelengths in the visible, from blue to red, and infrared spectrums have been used in treating musculoskeletal conditions in physical medicine and rehabilitation. Blue light has
Christopher M. McLeod, Haozhou Pu and Joshua I. Newman
During 2008, Beijing residents enjoyed 274 days of air equal to, or better than, the national Air Quality Standards ( UNEP, 2009 ). These days, also known as “blue sky days,” were up from 177 in 2000, 203 in 2002, 229 in 2004, and 241 in 2006, meaning an increase of 33 more days during 2008 where
In the current study we questioned the impact of uniform color in boxing, taekwondo and wrestling. On 18 photos showing two athletes competing, the hue of each uniform was modified to blue, green or red. For each photo, six color conditions were generated (blue-red, blue-green, green-red and vice versa). In three experiments these 108 photos were randomly presented. Participants (N = 210) had to select the athlete that seemed to be more aggressive, fairer or more likely to win the fight. Results revealed that athletes wearing red in boxing and wrestling were judged more aggressive and more likely to win than athletes wearing blue or green uniforms. In addition, athletes wearing green were judged fairer in boxing and wrestling than athletes wearing red. In taekwondo we did not find any significant impact of uniform color. Results suggest that uniform color in combat sports carries specific meanings that affect others’ judgments.
Rafer S. Lutz, Marc R. Lochbaum, Beth Lanning, Lucinda G. Stinson and Ronda Brewer
Blue-collar workers (N = 203) from a large food-processing plant in the south-western U.S. completed measures of perceived stress and leisure-time exercise at an initial test session in addition to a 2-month follow-up session. Mean age of the sample participants equaled 43.61 (SD = 9.79), and 69.5% of the sample were male, 71.4% were Caucasian, and 74.9% were married/cohabitating. Structural equation modeling was employed to examine the cross-lagged relationships between perceived stress and leisure-time exercise at these time points, controlling for gender, marital status, age, and yearly household income. Results indicated that a model with a path from perceptions of Time 1 stress to Time 2 exercise frequency was most parsimonious and provided acceptable model ft, suggesting that perceptions of stress are related to reductions in exercise participation in this population. However, there was little support for a relationship between Time 1 exercise participation and Time 2 perceived stress.
Dennis Dreiskaemper, Bernd Strauss, Norbert Hagemann and Dirk Büsch
Hill and Barton (2005) showed that fighters in tae kwon do, boxing, and wrestling who wore red jerseys during the 2004 Olympic Games won more often than those wearing blue jerseys. Regarding these results, this study investigated the effects of jersey color during a combat situation on fighters’ physical parameters of strength and heart rate. An artificial, experimental combat situation was created in which the color of sport attire was assigned randomly. Fourteen pairs of male athletes matched for weight, height, and age had to fight each other: once in a red jersey and once in a blue. Heart rate (before, during, and after the fight) and strength (before the fight) were tested wearing the blue and the red jerseys. Participants wearing red jerseys had significantly higher heart rates and significantly higher pre-contest values on the strength test. Results showed that participants’ body functions are influenced by wearing red equipment.
Douglas A. Pizac, Charles B. Swanik, Joseph J. Glutting and Thomas W. Kaminski
, the examiner asked each subject which foot the subject would use to kick a soccer ball. For whichever leg the subject answered, the opposite leg was assigned as the nondominant leg. All laxity measurements were conducted using an instrumented ankle arthrometer (Blue Bay Research Inc, Navarre, FL
Mitch J. Duncan, Hannah M. Badland and William Kerry Mummery
The aim of this study was to examine the relationship between occupational category and 3 health-related behaviors: participation in leisure-time physical activity, active transport (AT) and occupational sitting in a sample of employed Australian adults.
A random, cross-sectional sample of 592 adults aged 18 to 71 years completed a telephone survey in October/November 2006. Reported occupations were categorized as professional (n = 332, 56.1%), white-collar (n = 181, 30.6%), and blue-collar (n = 79, 13.3%). Relationships between occupational category and AT, sufficient physical activity and occupational sitting were examined using logistic regression.
White-collar employees (OR = 0.36, 95% CI 0.14−0.95) were less likely to engage in AT and more likely to engage in occupational sitting (OR = 3.10, 95% CI 1.63−5.92) when compared with blue-collar workers. Professionals (OR = 3.04, 95% CI 1.94−4.76) were also more likely to engage in occupational sitting compared with blue-collar workers. No relationship was observed between occupational category and engagement in sufficient physical activity.
No association between occupational category and sufficient physical activity levels was observed, although white-collar and professionals were likely to engage in high levels of occupational sitting. Innovative and sustainable strategies are required to reduce occupational sitting to improve health.