- Open Access
Work engagement and its association with occupational sitting time: results from the Stormont study
BMC Public Health volume 15, Article number: 30 (2015)
Evidence suggests that poor health outcomes and poor work-related health outcomes such as sickness presenteeism are associated with excessive sitting at work. Studies have yet to investigate the relationship between work engagement and occupational sitting. Work engagement is considered to be an important predictor of work-related well-being. We investigated the relationship between and self-reported work engagement and high occupational sitting time in Northern Ireland Civil Service (NICS) office-based workers.
A cohort of 4436 NICS office-workers (1945 men and 2491 women) completed a questionnaire measuring work engagement and occupational sitting time. Logistic regression analyses were used to test the associations between work engagement and occupational sitting times.
Compared to women, men reported lower mean occupational sitting time (385.7 minutes/day; s.d. = 1.9; versus 362.4 minutes/day; s.d. =2.5; p < .0001). After adjusting for confounding variables, men with high work engagement of vigor (OR = 0.49, 95% CI 0.34-0.98) and dedication (OR 0.68 95% CI 0.47-0.98) were less likely to have prolonged sitting time. Women with high work engagement of vigor (OR = 0.62, 95% CI 0.45-0.84) were also less likely to have prolonged occupational sitting times. In contrast, women with high absorption (OR = 1.29, 95% CI 1.01-1.65) were more likely to have prolonged sitting times.
Being actively engaged in one’s work is associated with lower occupational sitting times for men (vigor and dedication) and to a limited extent for women (vigor only). This suggests that interventions such as introducing sit-stand workstations to reduce sitting times, may be beneficial for work engagement.
Healthy workers are important for the labour market, especially in today’s society of an ageing workforce and increasing prevalence of chronic diseases [1,2]. Workers who have poor health are more likely to have high sickness absence, exit early from the labour market or take early retirement . One major risk factor to workers’ health is sedentary behaviour. Sedentary behaviour is defined as “any waking behaviour characterised by an energy expenditure of ≤1.5 metabolic equivalents (METs) while in a sitting or reclining posture” (page 540) [4,5]. Working adults spend around 70-80% of their working time sedentary . Evidence suggest that sedentary behaviour is associated with poor health outcomes including obesity [6,7], type 2 diabetes , the metabolic syndrome , some cancers [10-12], and mortality from all-causes and cardiovascular disease [12,13]. Specifically, sedentary behaviour at work has been associated with both poor health outcomes  and work-related health outcomes such as sickness presenteeism (a reduced ability to work productively due to physical or psychological health conditions) . Other studies have found an association between work stress and sedentary lifestyle and between low job control and physical inactivity [16,17].
The problems of prolonged sitting at work have led to recent workplace intervention studies to reduce sitting behaviour and promote standing and light movement . Although these interventions reduce occupational sitting time and enhance health and wellbeing with no adverse effect on work performance as assessed for example, by number of words typed on a keyboard [19-21], studies have yet to investigate the relationship between occupational sitting and work engagement. Work engagement is considered to be an important predictor of work-related well-being . It is characterised by high levels of personal energy, mental resilience and persistence in the face of difficulties (vigor and vitality), a sense of work significance, inspiration and enthusiasm (dedication); and being happily immersed in one’s work (absorption) . Work engagement is positively related to work performance , and positively related to job resources (the physical, psychological, social, or organizational resources an individual has to deal with job demands such as having control over one’s job) ; and is negatively associated with sickness absenteeism  burnout and high job demands . Many business organisations worldwide collect employee survey data on work engagement as a key indicator for employee health, well-being and productivity .
To date, research on occupational sitting has not examined the potential effect of occupational sitting time on work engagement. As work engagement is an active, positive state, it is possible that employees who have high levels of personal energy and inspiration are also likely to sit less by standing up and stretching their legs and/or taking regular short breaks to engage in activities such as talking to other colleagues about work tasks. This break from work in turn, may provide an opportunity to aid recovery and enhance personal resources such as replenish energy levels and arousal . A recent study found that levels of psychological arousal increased with the use of active workstations . It also found that use of active workstations (which provided employees a brief break from work by standing up, adjusting height of desk and then returning to work tasks whilst standing or walking on a treadmill) increased work task satisfaction and reduced levels of boredom and stress. We therefore hypothesize that there will be an association between work engagement and occupational sitting time; as well as between job performance and occupational sitting and between job strain (defined by a ratio of job demands to job control)  and occupational sitting, independent of individual health indices (such as BMI) in a large sample of office workers.
Whilst no systematic differences between gender have been reported in the literature for work engagement, gender differences have been observed in sedentary behaviours between men and women with men reporting significantly higher occupational sitting time than women in some studies [e.g. 6], and other studies reporting women with higher occupational sitting time [e.g. 7]. It was therefore hypothesized that there would be a mean difference in occupational sitting time between men and women. As there is insufficient knowledge as to why there are differences in occupational sitting time between men and women office workers and what factors might influence these, we examined the associations between the variables separately for men and women.
This is a new study tracking a large cohort of public sector employees through and beyond their career with the Northern Ireland Civil Service (NICS). It includes staff working for the 12 Northern Ireland ministerial departments including the Public Prosecution Service for Northern Ireland. The NICS employed 27,739 employees in 2012 of which approximately 26,000 had access to email and were sent a survey link. 5235 employees (20% response rate) completed the questionnaire. For this study, we excluded questionnaires completed by manual workers and non-permanent staff (n = 641) and those office-based workers with missing data (n = 158). This resulted in 4436 questionnaires that were used in subsequent analyses. Table 1 shows participants’ demographic and occupational characteristics compared to the overall NICS employee profile. No significant differences were evident in terms of working hours. Differences were observed for gender, age and job grade but this may reflect non-permanent and manual workers in the NICS data. The majority of office-based jobs in NICS are classified as highly sedentary involving mostly desk work with two 15 minute coffee break and one 30 minute lunch break over a standard 8 hour day (with some variations across different sites). A Senior Civil Servant role includes mainly managerial/administrative tasks such as dealing with policy, strategy, supporting Ministers in the Assembly. Principal and Senior Principal are responsible for policy, service and operational delivery and staff management; and tend to head various branches within Divisions; Deputy Principal and Staff Officer provide support to Principal and Senior Principal staff . Executive Officers are largely in a direct line management role for the clerical staff. Administrative Officer/Assistant represents the largest group within the NICS. They carry out a range of administrative tasks including filing, answering telephones, photocopying etc. They have no line management role.
The research was commissioned by the NICS Workplace Health Committee and ethical approval granted by the Ethics Committee of the University of Ulster.
Occupational sitting time was measured with the Domain-Specific Sitting Time Questionnaire . This self-report tool is a valid and reliable measure of sitting time in adults [30,31] which asks how much time respondents spend sitting (in hours and minutes) at work on a typical workday.
Self-report physical activity
Physical activity was assessed by a valid and reliable single-item question asking participants to indicate how many days in the last 7 days they have undertaken 30 minutes or more of physical activity which was enough to raise their breathing rate . This measure has been shown to offer a valid and reliable assessment of physical activity [33,34]. Participants were classified as meeting the UK government’s 2004 Physical activity guidelines if they reported participating in at least 30 minutes of moderate-to-vigorous physical activity on ≥5 days (yes/no).
The nine-item Utrecht Work Engagement Scale was used to assess work engagement . This frequently used scale captures ‘how workers experience their work’  and is related to work productivity and general well-being [36,37]. The questionnaire has three subscales on vigor, defined as bringing in personal energy and resilience, willingness to invest effort, persisting with difficulties (example item: “At my work, I feel bursting with energy”), dedication, defined as deriving a sense of significance from one’s work (example item: “My job inspires me”), and absorption, defined as being totally and happily immersed in one’s work and having difficulties detaching oneself from it so that time passes quickly (e.g. “I feel happy when I am working intensely”). Responses are measured on a seven-point Likert scale from 0 = Never to 6 = Always. A mean score is calculated for each subscale. This scale has high factorial validity, internal consistency and stability . In the current study, the alpha co-efficient for the scale was 0.90, and therefore considered to have internal reliability.
Job demands and job control
The Management Standards Indicator tool (MSIT; Health and Safety Executive, no date available) is designed to aid organizations in meeting their legal duty for psychosocial risk assessment and is also used by researchers. Two subscales were used from the 35-item self-report Management Standards Indicator Tool (job demands (8 items) and job control (6 items). Responses are measured on a five-point scale from 1 = never, to 5 = always. Internal consistency is high across both scales and across all samples. Information on the tool can be found from the Health and Safety Executive website (http://www.hse.gov.uk/stress/standards/downloads.htm). Each scale is summed. Low scores are indicative of high exposure to psychosocial hazards. For logistic regression analyses, we calculated ratios for high job strain and low job strain (see analysis section).
Four items measured job performance  on a seven-point Likert Scale : ‘I perform the tasks that are expected of me’, ‘I go out of my way to help colleagues’, ‘I take time to take a personal interest in other employees’, and ‘I assist my supervisor/manager with his/her work even when not asked’. These items have good reported inter-correlations and reliability . In the current study the alpha co-efficient for the scale was 0.77. A mean score is calculated.
Other measures included age (years), sex, smoking (yes/no) height (metres or feet and inches) and weight (kilograms) for BMI calculation purposes (kg/m2), marital status (single/married or cohabiting), dependents (yes/no), educational level, working hours (part time i.e. less than 35.5 hours /full-time i.e. ≥37.5 hours) and job grade (categories supplied by NICS; due to small Ns in ‘Senior Civil Servant’ Category, this was combined with the next Category ‘Senior Principal’). Using BMI, participants were categorized as normal weight (BMI <25 kg/m2; this category included nine cases of underweight (BMI under 18.5), as there were too few cases to warrant a fourth category), overweight (BMI 25–29.9 kg/m2) or obese (BMI ≥30 kg/m2).
Spearman correlations were carried out to examine the associations between individual characteristics and measures of work engagement and job performance. A t-test was conducted to examine the differences in mean sitting time between men and women. Associations between categorical variables were tested using chi-square analyses. Logistic regressions were performed to estimate the association between work engagement, job strain and work performance and the likelihood of moderate to high occupational sitting (against the reference category of low occupational sitting), as expressed by odds ratio (OR) and 95% confidence interval (CI). First, using a similar method reported in other studies [6,7] occupational sitting time was categorised into tertiles of low (<360 minutes/day) moderate (360-420 minutes/day), and high sitting time (421-840 minutes/day). Separate constructs of work engagement were categorised into tertiles of low, medium and high work engagement . For absorption, there were no participant data for the low absorption category. Therefore only two categories were used. For job demands, ratios were calculated for high strain (where participants report high job demands and low job control – high strain is defined as negative psychological and physical strain) and low strain (where participants report low job demands and high job control). Job performance was entered as interval level data. Logistics regressions were first conducted to estimate the odds of moderate occupational sitting time and high occupational sitting time (against low occupational sitting time) due to demographic characteristics, health behaviours and work characteristics (job grade, working hours). Two regression models were constructed with occupational sitting as the dependent variable. In model 1, moderate sitting time was entered against the reference category of low sitting time. In model two, high sitting time was entered against the reference category of low sitting time. Two further multiple logistic regressions were then conducted to estimate the odds of moderate occupational sitting time (against low occupational sitting time) due to work engagement, job strain and job performance; and high occupational sitting time (against low occupational sitting time) and the same variables. The latter two models were adjusted first for age, BMI, smoking, physical activity, marital status, dependents and education; and then adjusted for the same covariates with the addition of working hours and job grade. Physical activity was included as a covariate to test whether the associations between the key variables and occupational sitting were independent of discretionary physical activity. Separate analyses were carried out for men and women. Data were analysed using SPSS statistics version 19.0 (SPSS Inc., Chicago, 2003).
Questionnaires were completed by 1945 men and 2491 women. Table 2 shows the characteristics of the study sample. Total occupational sitting time for the sample was an average of 379.63 minutes per day (s.d. 98.3) (an accumulated average of 6.32 hours per day at work). Mean occupational sitting time was lower for men (mean 362.4 minutes/day; s.d. 112.5) compared to women (385.7 minutes/day; s.d. 98.9) (t = 7.32; df =4434; p < .0001). Chi-Square analyses shows that the proportion of men classed as reporting low occupational sitting times was significantly greater than for women (35.9% versus 31.3%) and the proportion of women reporting high occupational sitting times was greater than for men (35.2% versus 31.0%; χ2 = 12.89, df = 2 p < 0.002).
There were no significant differences in the proportion of men and women reporting work vigor. Proportionately more women than men reported high dedication (n = 1108, 44.5% versus n = 806, 41.4%; χ2 = 9.68, df = 2 p < 0.008); high absorption (n = 1099, 44.1% versus n = 643, 33.1%; χ2 = 53.91, df = 1 p < 0.0001); and work performance (n = 2054, 82.5% versus n = 1336, 68.7%; χ2 = 115.48, df = 1 p < 0.0001). There were no significant differences in the proportion of men and women reporting low job strain The proportion of men classed as experiencing high job strain was significantly greater when compared with women (n = 444, 22.8% versus n = 475, 19.1%; χ2 = 9.39, df = 1 p < 0.002).
Bivariate spearman correlations between key variables are shown in Table 3. The correlation coefficients are presented separately for men and women (women are presented in parenthesis). There are significant correlations between occupational sitting times and the three work engagement scales (for both genders) and job performance (men only) suggesting lower occupational sitting time is associated with better engagement and performance at work. There was no significant correlation between occupational sitting time and job control and job demands. Education was significantly correlated with the three engagement scales and with job grade suggesting that those with higher qualifications had higher work engagement and were in higher grade jobs (job grade was entered in descending order, hence the negative relationship). Job grade correlated with the three work engagement scales, job performance (except for men) job demands and job control. The three work engagement scales and job performance were positively correlated with job control. There was no relationship between vigor and job demands for either gender. Dedication, absorption and job performance were negatively correlated, albeit weakly, with job demands.
Table 4 presents associations of demographic characteristics, health behaviours and work characteristics with occupational sitting using categories of low, moderate and high occupational sitting (with low occupational sitting used as a reference category against moderate and high sitting times) separately for men (n =1945) and women (n = 2491). Occupational sitting time was entered as the dependent variable with moderate sitting time and high sitting time entered against the reference category of low sitting time (data for low sitting is not presented in the table). The results for men show that the age groups ≥ 40 were less likely to be associated with high occupational sitting times. Males who met the physical activity guidelines were less likely to have high occupational sitting time. For women, those aged 40-49 years were less likely to have high occupational sitting time (compared to the reference group of those aged 18-29 years). For both genders, those who had dependents were less likely to report high occupational sitting times. There were no associations for BMI and educational level with occupational sitting times. For men, those in lower job grades were more likely to report lower occupational sitting times. For women, full-time workers were less likely to have high occupational sitting time.
Table 5 presents the associations of work engagement, job strain and job performance with occupational sitting categories of low, moderate and high occupational sitting (low occupational sitting used as reference category-data for low sitting is not presented in the table). For men, the unadjusted model in Table 5 shows those reporting good work vigor (average to high) were less likely to report high occupational sitting times (i.e., less likely to sit more than 420 minutes/day). In the first adjusted model, findings for high vigor and high dedication remained significant. In addition, those with high dedication were also less likely to report high occupational sitting time (as well as less likely to report moderate sitting time), indicating that high dedication is overall associated with low occupational sitting. Furthermore, those reporting low strain were less likely to sit for moderate lengths of time. In the fully adjusted model (adjusting for job grade and work pattern), except for low job strain, the associations for high vigor and high dedication with occupational sitting remained significant.
For women, in the unadjusted model, those reporting higher levels of job performance were more likely to have moderate sitting times; and those with high absorption were more likely to report high sitting time. Those with good vigor (average to high) were less likely to report high occupational sitting time. After adjusting for the first set of covariates and the second set of covariates, job performance was not significant but the findings for high absorption and vigor remained significant.
This study examined the associations between occupational sitting and work engagement in a large cross-sectional sample of public sector office workers. Occupational sitting time was reported to be an average of 6.32 hours per workday. Overall, sitting times were lower for men than women, in contrast to that reported by Mummery et al in their Australian study  and Kazi et al  in their UK study of five organizational sectors including a Government sector, but reflect similar findings reported by Chau et al . Total daily sitting time reported here are substantially higher than those reported in samples of working adults from non-UK studies [6,41], but are lower than the occupational sitting time reported by Kazi et al  who used the same occupational sitting time measure we used in this study.
In this study, data on interrupted sitting times were not collected. Studies that assessed how sedentary time is accumulated at work have reported that around 22-52% of occupational sitting is accrued in prolonged unbroken bouts (≥ 30 minutes) [42-44]. Considering that our sample of public sector office workers accumulated high volumes of workplace sedentary behaviour, it is possible that much of these sitting times were accrued in prolonged unbroken bouts. Such extended periods of uninterrupted sitting may have important health implications .
The study found that proportionately more women than men reported higher dedication, absorption and work performance. In contrast, men reported experiencing more job strain. The latter reflects the current literature  as men are likely to be in higher job grades and work longer hours. We also found that in comparison to women, men were in higher job grades and worked longer hours (Table 2). From previous discussions on work engagement it is assumed that work engagement is gender neutral . However, our findings for two scales from the work engagement measure, dedication and absorption, add to the relatively small literature that this may not be the case and may indicate that women in the Irish public sector are more likely to report higher dedication and absorption in their work . Further studies are required to examine the antecedents for the gender differences observed in our study.
Significant correlations were found for higher work engagement, job performance and job grade with lower occupational sitting times. These findings may suggest that employees who have higher work engagement are more likely to sit less; and/or that certain jobs or work tasks are structured in such a way that it is easier to either move away from the desk or to demonstrate work engagement and job performance. With regard to job tasks, support is partially provided by the logistic regression results that show lower job grades are associated with low occupational sitting times for men in this study. However, as this was a cross-sectional study in which causal relationships cannot be determined, interactions between work engagement, job performance and job grade with occupational sitting times need to be more formally explored using longitudinal data. The study found that the work engagement scales were positively correlated with job performance and job control, and negatively correlated with job demands (except for vigor, where no significant correlation was found). These results reflect previous research  that suggests that individuals are more likely to be engaged in their work if job control is high and demands are low .
No significant correlation was observed between educational status and occupational sitting times even though educational status showed significant correlations with job grade, work engagement and job performance. The logistic regression analysis also found no associations between educational status and occupational sitting for either men or women and is in contrast to previous studies [48-52].
Logistic regression analyses in this study found that men aged ≥40 years and women aged 40-49 years, were more likely to have low occupational sitting times. These findings could reflect differences in cultural norms across age groups which requires further exploration. Men who were meeting physical activity guidelines were more likely to have lower occupational sitting times. But these findings were not significant for women. Surprisingly there were no associations between BMI and occupational sitting as reported in other studies . This is perhaps due to this study focusing solely on office workers or using self-report weight for calculating BMI and these results therefore, must be interpreted with caution.
Logistic regression results of work engagement, job strain and job performance with occupational sitting showed that when separating analyses for men and women, job performance was not associated with occupational sitting times. For work engagement, men were less likely to sit for prolonged periods at work (less than 421 minutes per day or less than 7 hours per day) if they reported experiencing high vigor (i.e. personal energy and resilience, willingness to invest effort). Furthermore, they were less likely to sit for prolonged periods at work (less that 360 minutes per day or 6 hours per day) if they reported high dedication (i.e. deriving a sense of significance from one’s work). These findings are independent of the influence of demographic characteristics, health behaviours, job grade and working hours.
The results for women showed that sitting for less than 421 minutes per day (or less than 7 hours per day) at work was associated with average-high levels of vigor irrespective of demographic characteristics, health behaviours, job grade and working hours. In contrast, high levels of absorption were associated with an increase in the odds of high occupational sitting times. As Schaufeli and Bakker  posit that absorption resembles being immersed in one’s work and having difficulties in detaching oneself from it, our findings may suggest that women who are absorbed with their work are less likely to take a break, stand up and/or move around [22,23]. Further research is required to understand the mechanism of this relationship. Nevertheless, the current findings suggests that there is much work to be done on decreasing occupational sitting time among women who are absorbed in their work, without disrupting their concentration or flow.
Overall, the present findings suggest that after controlling for confounding variables in separate logistic regression models for men and women, high levels of vigor (and dedication for men) are associated with low levels of occupational sitting. Studies examining work engagement clearly show the benefits of a workforce that is engaged such as being more productive and having good mental and physical health [22,23,26]. Our findings contribute to this literature in that employees with high work engagement are less likely to have prolonged sitting times at work. Our findings also add to the growing evidence highlighting the workplace as an important setting for reducing sedentary behaviour . Our study results may provide an incentive for organizations to reduce or interrupt sitting times at work. However, as this is a cross-sectional study, further longitudinal studies are required to understand the interactions between high work engagement and low occupational sitting time, but also between job strain and occupational sitting as our findings were not consistent or conclusive for this.
This study has a number of strengths. First, the study has a large sample size of office-based workers with varying educational levels and job grades allowing for the generalization of findings. Second, all self-report measures used in this study are validated and reliable. The organizational measures used here are considered to be important variables that capture employee health and performance and have been widely used in previous research. Third, our study contributes to the literature on workplace sedentary behaviour and work engagement and is one of the first studies to examine the relationship between sedentary behaviour and work engagement.
This study also has a number of limitations. First, the study adopted a cross-sectional design, limiting the extent to which reverse causation and alternate pathways between occupational sedentary behaviour and measures of organizational health could be tested. This study, however, reports findings from the first wave of survey data collected from NICS. A second survey will be distributed shortly and prospective analyses are planned. Second, all measures used in this study are self-report measures which may be prone to recall bias and under-reporting or over estimating work performance and sedentary behaviour. This is more of an issue for reporting on sedentary behaviour as this can be measured objectively whereas it is more difficult to objectively measure multi-dimensional aspects of individual work performance and health. The sitting-time questionnaire used in this study however, has been reported to be comparable to total sedentary time measured via accelerometry . Third, whilst the study has a large sample, the poor response rate (20%) may be considered as a limitation. Nevertheless response rates between 20-25% are common in workplace organisational and wellbeing studies such as this [52-54]. Finally, actual working time including overtime hours was not collected. As workers may vary in their actual hours worked, this might influence work engagement. Therefore, our findings on work engagement must be interpreted with caution.
Overall, this study showed that being actively engaged in one’s work is associated with lower occupational sitting times for men (vigor and dedication) and to a limited extent for women also (vigor only). This suggests that interventions such as introducing sit-stand workstations to reduce sitting times, may be beneficial for men’s working experience but may not be for women. Longitudinal studies are planned to further test these findings.
Ilmarinen JE, Tuomi K, Klockars M. Work ability of ageing workers. Scand J Work Environ Health. 1997;23 suppl 1:49–57.
Kessler RC, Greenberg PE, Mickelson KD, Meneades LM, Wang PS. The effects of chronic medical conditions on work loss and work cut back. J Occup Environ Med. 2001;43:218–25.
Rice NE, Lang IA, Henley W, Melzer D. Common health predictors of early retirement: findings from english longitudinal study of ageing. Age Ageing. 2011;40:5–61.
Sedentary Behaviour Research Network. Standardized use of the terms “sedentary” and “sedentary behaviours”. Appl Physiol Nutr Metab. 2012;37:540–2.
Ainsworth BE, Haskell WL, Whitt MC, Irwin ML, Swartz AM, Strath SC, et al. Compendium of physical activities: an update of activity codes and MET intensities. Med Sc Sports Exerc. 2000;32:S498–516.
Mummery WK, Scholfield GM, Steele R, Eakin EG, Brown WJ. Occupational sitting time and overweight and obesity in Australian workers. Am J Prev Med. 2005;29:91–7.
Hu FB. Sedentary lifestyle and risk of obesity and type 2 diabetes. Lipids. 2003;38:103–8.
Hu FB, Li TY, Colditz GA, Willett WC, Manson JE. Television watching and other sedentary behaviors in relation to risk of obesity and type 2 diabetes mellitus in women. JAMA. 2003;289:1785–91.
Edwardson CL, Gorely T, Davies MJ, Gray LJ, Khunti K, Wilmot EG, et al. Association of sedentary behaviour with metabolic syndrome: a meta-analysis. PLoS One. 2012;7:e34916.
Gierach GL, Chang SC, Brinton LA, Lacey JV Jr, Hollenbeck AR, Schatzkin A, et al. Physical activity, sedentary behavior, and endometrial cancer risk in the NIH-AARP diet and health study. Int J Cancer. 2009;124:2139–47.
Lynch BM. Sedentary behavior and cancer: a systematic review of the literature and proposed biological mechanisms. Cancer Epidemiol Biomarkers Prev. 2010;19:2691–709.
Katzmarzyk PT, Church TS, Craig CL, Bouchard C. Sitting time and mortality from all causes, cardiovascular disease, and cancer. Med Sci Sports Exerc. 2009;41:998–1005.
Thorp AA, Owen N, Neuhaus M, Dunstan DW. Sedentary behaviors and subsequent health outcomes in adults: a systematic review of longitudinal studies, 1996-2011. Am J Prev Med. 2011;41:207–15.
Kilpatrick M, Sanderson K, Blizzard L, Teale B, Venn A. Cross-sectional associations between sitting time may benefit mental health. Ment Health Phys Act 2013,103–109
Brown EH, Ryde GC, Gilson ND, Burton NW, Brown WJ. Objectively measured sedentary behavior and physical activity in office employees: relationships with presenteeism. J Occ Envion Med. 2013;55:945–53.
Kouvonen A, Kivimaki M, Elovainio M, Pentti J, Linna A, Virtanen M, et al. Effort/reward imbalance and sedentary lifestyle: an observational study in a large occupational cohort. Occup Env Med. 2006;63:422–7.
Makinen T, Kestila L, Borodulin K, Martelin T, Rahkonen O, Leino-Arjas P, et al. Occupational class differences in leisure-time physical inactivity – contribution of past and current physical workload and other working conditions. Scand J Work Environ Health. 2010;36:62–70.
Alkhajah TA, Reeves MM, Eakin EG, Winkler EAH, Owen N, Healy GN. Sit-stand workstations: a pilot intervention to reduce office sitting time. Am J Prev Med. 2012;3:298–303.
Beers EA, Roemmich JN, Epsein LH, Horvath PJ. Increasing passive energy expenditure during clerical work. Eur J Appl Physiol. 2008;103:353–60.
Ebara T, Kubo T, Inoue T, Muraski GI, Takeyama H, Murasaki G-I, et al. Effects of adjustable sit-stand VDT workstations on workers’ musculoskeletal discomfort, alertness and performance. Ind Health. 2008;46:497–505.
Karakolis T, Callaghan JP. The impact of sit-stand office workstations on worker discomfort and productivity: a review. Appl Erg. 2014;45:799–806.
Schaufeli WB, Taris TW, van Rhenen W. Workaholism, burnout, and work engagement: three of a kind or three different kinds of employee well-being? Appl Psych Int Rev. 2008;2:173–203.
Schaufeli W, Bakker A. Utrecht work engagement scale: preliminary manual, version 1. Occupational Health Psychology Unit: Utrecht University; 2003.
Mauno S, Kinnunen U, Mervi RM. Job demands and resources as antecedents of work engagement: a longitudinal study. J Vocat Behav. 2007;70:149–71.
Bakker AB, Hakanen JJ, Demerouti E, Xanthopoulou D. Job resources boost work engagement, particularly when job demands are high. J Educat Psychol. 2007;99:274–84.
Business in the Community. BITC public reporting guidelines: employee wellness and engagement. London: Business in the Community; 2011.
Sonnentag S, Fritz C. The recovery experience questionnaire: development and validation of a measure for assessing recuperation and unwinding from work. J Occup Health Psychol. 2007;3:204–21.
Sliter M, Yuan Z. Workout at work: laboratory test of psychological and performance outcomes of active workstations. J Occup Health Psychol, 2014. doi:10.1037/a0038175.
Karasek RA, Theorell T. Healthy work. Stress, productivity, and the reconstruction of working life. New York: Basic Books; 1990.
Marshall AL, Miller YD, Burton NW, Brown WJ. Measuring total and domain-specific sitting: a study of reliability and validity. Med Sci Sports Exerc. 2010;42:1094–102.
Clemes SA, David BM, Zhao Y, Han X, Brown W. Validity of two self-report measures of sitting time. J Phys Act Health. 2012;9:533–9.
Milton K, Bull FC, Bauman A. Reliability and validity testing of a single-item physical activity measure. Br J Sports Med. 2011;45:203–8.
Milton K, Clemes S, Bull F. Can a single question provide an accurate measure of physical activity? Br J Sports Med. 2013;47:44–8.
Chief Medical Officer. At least five a week: evidence on the impact of physical activity and its relationship to health. London: Crown Copyright; 2004.
Bakker AB, Simon L, Albrecht SL, Leiter MP. Key questions regarding work engagement. Eur J Work Org Psychol. 2011;20:4–28.
Schaufeli WB, Taris TW, van Rhenen W. Workaholism, burnout, and work engagement: three of a kind or three different kinds of employee well-being? Appl Psychol: An Int Rev. 2008;57:173–203.
Christian MS, Garza AS, Slaughter JE. Work engagement: a quantitative review and test of its relations with tasks and contextual performance. Personnel Psych. 2011;64:89–136.
Williams LJ, Anderson SE. Job satisfaction and organisational commitment as predictors of organizational citizenship and in-role behaviours. J Air Waste Manage Assoc. 1991;17:601–17.
Kazi A, Duncan M, Clemes SSA, Haslam C. A survey of sitting time among UK employees. Occup Med. 2014;64:497–502.
Chau JY, van der Ploeg HP, Merom D, Chey T, Bauman AE. Cross-sectional associations between occupational and leisure-time sitting, physical activity and obesity in working adults. Prev Med. 2012;54:195–200.
Jans MP, Proper KI, Hildebrandt VH. Sedentary behaviour in Dutch workers: differences between occupations and business sectors. Am J Prev Med. 2007;33:450–4.
Ryan CG, Dall PM, Granat MH, Grant M. Sitting patterns at work: objective measurement of adherence to current recommendations. Ergonomics. 2011;54:531–8.
Healy GN, Eakin EG, Lamontagne AD, Owen N, Winkler EA, Wiesner G, et al. Reducing sitting time in office workers: short-term efficacy of a multicomponent intervention. Prev Med. 2013;57:43–8.
Evans RE, Fawole HO, Sheriff SA, Dall PM, Grant PM, Ryan CG. Point-of-choice prompts to reduce sitting time at work: a randomized trial. Am J Prev Med. 2012;43:293–7.
Healy GN, Matthews CE, Dunstan DW, Winkler EA, Owen N. Sedentary time and cardio-metabolic biomarkers in US adults: NHANES 2003–06. Eur Heart J. 2011;32:590–7.
Vermeulen M, Mustard C. Gender differences in job strain, social support at work, and psychological distress. J Occup Health Psychol. 2000;5:428–40.
Schaufeli WB, Bakker AB, Salanova M. The measurement of work engagement with a short questionnaire: a cross-national study. Educat Psychol Measure. 2006;66:701–16.
Bauman A, Ainsworth BE, Sallis JF, Hagstromer M, Craig CL, Bull FC, et al. The descriptive epidemiology of sitting. A 20-country comparison using the International Physical Activity Questionnaire (IPAQ). Am J Prev Med. 2011;41:228–35.
Proper KI, Cerin E, Brown WJ, Owen N. Sitting time and socio-economic differences in overweight and obesity. Int J Obes (Lond). 2007;31:169–76.
Harrington DM, Barreira TV, Staiano AE, Katzmarzyk PT. The descriptive epidemiology of sitting among US adults, NHANES 2009/2010. J Sci Med Sport. 2013. doi:10.1016/j.jsams.2013.07.017.
Thorp AA, Healy GN, Winkler E, Clark BK, Gardiner PA, Owen N, et al. Prolonged sedentary time and physical activity in workplace and non-work contexts: a cross-sectional study of office, customer service and call centre employees. Int J Behav Nutr Phys Act. 2012;9:128.
Houdmont J, Kerr R, Randall R. Organisational psychosocial hazard exposures in UK policing: management standards indicator tool reference values. Policing: An Int J Police Strat Manage. 2012;35:182.
Kinman G, Court S. Psychosocial hazards in UK universities: adopting a risk assessment approach. Higher Educat Quart. 2010;64:413–28.
Allisey A, Noblet A, Lamontagne AD, Houdmont J. Testing a model of officer intentions to quit: the mediating effects of job stress and job satisfaction. Criminal Justice Behav. 2014;6:751–71.
We thank all participants for completing the questionnaire and the Northern Ireland Civil Service for facilitating access.
This study was funded by a grant from the Doughty Fund of the Faculty of Occupational Medicine, Royal College of Physicians of Ireland.
The authors declare that they have no competing interests.
Design of study: FM, JH, SC, KW, RK, KA. Data collection and preparation KY, RK, KA: HB; Data analysis and interpretation of data: FM, JH, SC Drafting article: FM, JH, SC. Revising article: All Authors; Approval for submission: All authors.
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Munir, F., Houdmont, J., Clemes, S. et al. Work engagement and its association with occupational sitting time: results from the Stormont study. BMC Public Health 15, 30 (2015). https://doi.org/10.1186/s12889-015-1427-9
- Sedentary lifestyle
- Work engagement
- Occupational health
- Health behavior