Use this URL to cite or link to this record in EThOS:
Title: Sedentary behaviour in office workers : correlates and interventions
Author: Kettle, Victoria
ISNI:       0000 0004 8500 8780
Awarding Body: Loughborough University
Current Institution: Loughborough University
Date of Award: 2019
Availability of Full Text:
Access from EThOS:
Access from Institution:
Methods: Study One performed a secondary data analysis on a large sample of office workers (n=7,170) who self-reported their domain-specific sitting time, physical activity level, smoking status, alcohol consumption, and fruit and vegetable intake in a 2012 and/or 2014 survey. Multiple logistic regression models explored the association between sedentary behaviours and multiple other health behaviours. A separate analysis was performed to investigate how these associations tracked over time (n=806). Study Two implemented a multicomponent workplace intervention in a sample of office workers (baseline n=30) and measured the effects 3 and 12-months post-baseline compared to a control group (baseline n=30). activPAL sedentary time was the primary outcome with accelerometer-determined physical activity and markers of health measured as secondary outcomes. Study Three provided a sample of office workers who had sit-stand desks (n=19 baseline, n=17 follow-up) with a wearable device to self-monitor their sedentary time through an application and prompt reductions in prolonged sedentary time through haptic feedback (LUMO). Feasibility and acceptability of the 4-week intervention were measured through wear time, engagement with application, questionnaire and interview feedback. The effect on sedentary time was measured with the LUMO and activPAL in addition to health and work-related measures. Results: Study One found that 643±160 minutes on a workday and 491±210 minutes on a non-workday were spent sitting. The majority of workday sitting took place at work (383±95 minutes/day) and whilst TV viewing on a non-workday (173±101 minutes/day). ≥7 hours sitting at work and ≥2 hours TV viewing on a workday both more than doubled the odds of partaking in ≥3 unhealthy behaviours [Odds ratio, OR=2.03, 95% CI, (1.59-2.61); OR=2.19 (1.71-2.80)] and ≥3 hours of TV viewing on a non-workday nearly tripled the odds [OR= 2.96 (2.32-3.77)]. No associations between domain-specific sitting time at baseline and change in unhealthy behaviour score were found over two years, with the majority of participants maintaining baseline levels of all behaviours. Study Two found a trend towards reduced sedentary time at work by -7.9±25.1% and -18.4±12.4% per day at 3-(n=25 intervention, n=18 control group) and 12-months (n=11 intervention, n=7 control group) post-baseline in addition to overall workday by -4.6±13.8% and -8.0±8.3%. The intervention group showed an increase in sedentary time outside of work on a workday (4.2±9.5%) and overall on a non-workday (3.5±10.8%) after 12 months compared to baseline. However, the results found at the 3-month follow-up were not statistically significant and no significant differences in physical activity or health measures between groups were observed. Furthermore, due to the reduced sample size at the 12-month follow-up, no statistical testing was performed. Study Three found that the LUMO was a feasible intervention device in the short-term demonstrating high wear time (mean = 60.6% of measurement days) and application engagement (mean = 26.2±33.2 sessions, 30.3±26.5 minutes per week) with sedentary time being the most engaged with aspect of the application. The acceptability of the LUMO depended on the task undertaken, experience of problems with the device and preference towards the application or the prompt but, overall, it increased awareness of behaviour. A trend towards reductions in sedentary time (-4%) and prolonged bouts of sedentary time >60 mins (-3%) on a workday were observed. Improvements were found in fat percentage and mass, blood pressure, job performance, work engagement, need for recovery and job satisfaction. Non-workday sedentary time >60 min bouts increased (4.8%) and increases in non-working hours sedentary time were apparent in weeks 3 and 4. Conclusions: Office workers are highly sedentary at work and whilst TV viewing which is associated with partaking in other multiple unhealthy behaviours. Multicomponent workplace interventions result in a trend towards reductions in occupational sedentary behaviour over the short and long-term. However, compensation during non-working hours could attenuate overall sedentary behaviour reductions resulting from workplace interventions. Wearable technology as an intervention strategy to reduce sedentary time shows promise and further research is needed in fully-powered studies. Future interventions should target multiple unhealthy behaviours in addition to sedentary time during work and non-working hours.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
Keywords: Sedentary behaviour ; Office workers ; correlates ; Persuasive Technology ; Wearable Technology ; multicomponent interventions ; Lifestyle behaviour change