Evidence to design ‘just right’ work using active workstations is currently limited

Straker, Leon

doi:10.1136/oemed-2018-105671

Cited by 5 publications

(3 citation statements)

References 10 publications

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“…In addition, it has been found that replacing sedentary time with standing in sedentary workers is likely to have beneficial physiological effects [13] with no detrimental impact on work productivity. However, the intensity or dosage of standing for optimal benefit in adults is still unclear [14,15]. In children, excessive sedentary behaviour has been associated with increased cardiometabolic risk factors, obesity, anxiety, and depressive symptoms [5,16,17,18,19].…”

Section: Introductionmentioning

confidence: 99%

Standing Desks in a Grade 4 Classroom over the Full School Year

Parry

Oliveira

McVeigh

et al. 2019

IJERPH

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School-aged children are spending increasingly long periods of time engaged in sedentary activities such as sitting. Recent school-based studies have examined the intervention effects of introducing standing desks into the classroom in the short and medium term. The aim of this repeated-measures crossover design study was to assess the sit-stand behaviour, waking sedentary time and physical activity, and musculoskeletal discomfort at the start and the end of a full school year following the provision of standing desks into a Grade 4 classroom. Accelerometry and musculoskeletal discomfort were measured in both standing and traditional desk conditions at the start and at the end of the school year. At both time points, when students used a standing desk, there was an increase in standing time (17–26 min/school day) and a reduction in sitting time (17–40 min/school day). There was no significant difference in sit-stand behaviour during school hours or sedentary time and physical activity during waking hours between the start and the end of the school year. Students were less likely to report discomfort in the neck and shoulders when using a standing desk and this finding was consistent over the full school year. The beneficial effects of using a standing desk were maintained over the full school year, after the novelty of using a standing desk had worn off.

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Section: Introductionmentioning

confidence: 99%

Standing Desks in a Grade 4 Classroom over the Full School Year

Parry

Oliveira

McVeigh

et al. 2019

IJERPH

Self Cite

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“…Each text contained one paragraph with 39 words and 180 characters. To do the typing text, the participants viewed the text placed on the top half of the computer screen and typed it in a Word document located on the bottom half of the screen (Commissaris et al, 2014; Straker, 2019).…”

Section: Methodsmentioning

confidence: 99%

Knee Extension Exercise Effects on Physiological and Psychophysical Performance: Normal Weight Versus Obese Office Workers

Mohammadian,

Choobineh,

Razeghi

et al. 2023

Workplace Health Saf

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Background: Knee extension exercise is useful and practical for obese and overweight people as this form of exercise is effective in minimizing body weight loading on joints and improving the body’s physiological function. This study aimed to compare the physiological and psychophysical parameters of office workers while computer-based working in an active workstation equipped with an active footrest (AFR) prototype with a mechanism for performing knee extension exercises in a sitting position, and also to compare the physiological and psychophysical parameters among normal-weight and obese office workers. Methods: In this quasi-experimental study, the physiological parameters of heart rate (HR) and energy expenditure (EE) (measured with the Fitbit Charge HR smartwatch) were measured in two cross-over random sessions for 32 office workers (16 normal-weight and 16 obese) aged 28 to 50 years ( M = 42.72, standard deviation [ SD] = 4.37) while performing office tasks in sitting and active workstations (equipped with AFR). Perceived physical exertion, comfort, fatigue, and liking were also measured by rating the participants. Findings: Short-term activity of the participants with AFR performing computer tasks significantly improved physiological and psychophysical parameters compared with the participants in sitting workstations. However, there was no significant difference in the effect of AFR on physiological and psychophysical parameters between normal-weight and obese participants. Conclusions/Application to Practice: Given the significant increase in EE and HR resulting from exercise with AFR compared with the conventional workstation, the use of AFR can help office workers achieve the minimum standard of physical activity at their workplace.

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“…Many modern jobs involve prolonged hours of sitting on a chair [ 1 ]. It has been shown that prolonged sitting can cause muscle fatigue, poor posture, muscle and joint pain, lower back pain, headaches, and digestive problems [ 2 , 3 ].…”

Section: Introductionmentioning

confidence: 99%

Implementing Machine Learning Algorithms to Classify Postures and Forecast Motions When Using a Dynamic Chair

Farhani

Zhou

Danielson³

et al. 2022

Sensors

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Many modern jobs require long periods of sitting on a chair that may result in serious health complications. Dynamic chairs are proposed as alternatives to the traditional sitting chairs; however, previous studies have suggested that most users are not aware of their postures and do not take advantage of the increased range of motion offered by the dynamic chairs. Building a system that identifies users’ postures in real time, as well as forecasts the next few postures, can bring awareness to the sitting behavior of each user. In this study, machine learning algorithms have been implemented to automatically classify users’ postures and forecast their next motions. The random forest, gradient decision tree, and support vector machine algorithms were used to classify postures. The evaluation of the trained classifiers indicated that they could successfully identify users’ postures with an accuracy above 90%. The algorithm can provide users with an accurate report of their sitting habits. A 1D-convolutional-LSTM network has also been implemented to forecast users’ future postures based on their previous motions, the model can forecast a user’s motions with high accuracy (97%). The ability of the algorithm to forecast future postures could be used to suggest alternative postures as needed.

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Evidence to design ‘just right’ work using active workstations is currently limited

Cited by 5 publications

References 10 publications

Standing Desks in a Grade 4 Classroom over the Full School Year

Standing Desks in a Grade 4 Classroom over the Full School Year

Knee Extension Exercise Effects on Physiological and Psychophysical Performance: Normal Weight Versus Obese Office Workers

Implementing Machine Learning Algorithms to Classify Postures and Forecast Motions When Using a Dynamic Chair

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