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- Barbieri, Dechristian, et al.
(författare)
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Effects of time in sitting and standing on pleasantness, acceptability, fatigue and pain when using a sit-stand table: an experiment on overweight and normal-weight subjects
- 2020
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Ingår i: Journal of Physical Activity and Health. - : Human Kinetics Journals. - 1543-3080 .- 1543-5474. ; 17:12, s. 1222-1230
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Tidskriftsartikel (refereegranskat)abstract
- Background: Sit-stand desks have been suggested as an initiative to increase posture variation among office workers. However, there is limited evidence of what would be preferable combinations of time sitting and standing. The aim of this study was to determine and compare perceived pleasantness, acceptability, pain and fatigue for five time patterns of sitting and standing at a sit-stand desk.Methods: Thirty post-graduate students were equally divided into a normal-weight (mean BMI 22.8 kg/m2) and an overweight/obese (mean BMI 28.1 kg/m2) group. They performed 3 hours of computer work at a sit-stand desk on five different days, each day with a different time pattern (A: 60-min sit/0-min stand; B: 50/10; C: 40/20; D: 30/30; E: 20/40). Pleasantness, acceptability, pain and fatigue ratings were obtained at the beginning and at the end of the 3-hour period.Results: High ratings of pleasantness were observed for time patterns B, C and D in both groups. All participants rated acceptability to be good for time patterns A to D. A minor increase in perceived fatigue and pain was observed in time pattern E.Conclusion: For new sit-stand desk users, regardless of BMI, 10-30 min of standing per hour appears to be an amenable time pattern.
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| 2. |
- Gilson, Nicholas, et al.
(författare)
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Sedentary and physical activity behaviour in ‘blue-collar’ workers: A systematic review of accelerometer studies
- 2019
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Ingår i: Journal of Physical Activity and Health. - : ISPAH International Society for Physical Activity and Health. - 1543-3080 .- 1543-5474. ; 16:11, s. 1060-1069
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Tidskriftsartikel (refereegranskat)abstract
- Background: This systematic review assessed evidence on the accelerometer-measured sedentary and physical activity (PA) behavior of nonoffice workers in “blue-collar” industries.Methods: The databases CINAHL, Embase, MEDLINE, PubMed, and Scopus were searched up to April 6, 2018. Eligibility criteria were accelerometer-measured sedentary, sitting, and/or PA behaviors in “blue-collar” workers (≥10 participants; agricultural, construction, cleaning, manufacturing, mining, postal, or transport industries). Data on participants’ characteristics, study protocols, and measured behaviors during work and/or nonwork time were extracted. Methodologic quality was assessed using a 12-item checklist.Results: Twenty studies (representing 11 data sets), all from developed world economies, met inclusion criteria. The mean quality score for selected studies was 9.5 (SD 0.8) out of a maximum of 12. Data were analyzed using a range of analytical techniques (eg, accelerometer counts or pattern recognition algorithms). “Blue-collar” workers were more sedentary and less active during nonwork compared with work time (eg, sitting 5.7 vs 3.2 h/d; moderate to vigorous PA 0.5 vs 0.7 h/d). Drivers were the most sedentary (work time 5.1 h/d; nonwork time 8.2 h/d).Conclusions: High levels of sedentary time and insufficient PA to offset risk are health issues for “blue-collar” workers. To better inform interventions, research groups need to adopt common measurement and reporting methodologies.
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| 4. |
- Straker, Leon, et al.
(författare)
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Capturing the pattern of physical activity and sedentary behavior : Exposure Variation Analysis of accelerometer data
- 2014
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Ingår i: Journal of Physical Activity and Health. - : Human Kinetics. - 1543-3080 .- 1543-5474. ; 11:3, s. 614-625
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Tidskriftsartikel (refereegranskat)abstract
- BACKGROUND: Capturing the complex time pattern of physical activity (PA) and sedentary behavior (SB) using accelerometry remains a challenge. Research from occupational health suggests exposure variation analysis (EVA) could provide a meaningful tool. This paper (1) explains the application of EVA to accelerometer data, (2) demonstrates how EVA thresholds and derivatives could be chosen and used to examine adherence to PA and SB guidelines, and (3) explores the validity of EVA outputs.METHODS: EVA outputs are compared with accelerometer data from 4 individuals (Study 1a and1b) and 3 occupational groups (Study 2): seated workstation office workers (n = 8), standing workstation office workers (n = 8), and teachers (n = 8).RESULTS: Line graphs and related EVA graphs highlight the use of EVA derivatives for examining compliance with guidelines. EVA derivatives of occupational groups confirm no difference in bouts of activity but clear differences as expected in extended bouts of SB and brief bursts of activity, thus providing evidence of construct validity.CONCLUSIONS: EVA offers a unique and comprehensive generic method that is able, for the first time, to capture the time pattern (both frequency and intensity) of PA and SB, which can be tailored for both occupational and public health research.
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