Time kinetics of physical activity, sitting, and quality of life measures within a regional workplace: a cross–sectional analysis

Lower levels of physical activity (PA) and increased sedentary time have contributed to an increase in negative health outcomes including obesity and diabetes [1]. Both behaviours have been identified as important and independent risk factors for premature mortality [2‐4]. For example, a 2 % increase in all-cause mortality risk was associated with each hour of daily sitting, even when PA was accounted for in the analysis [2]. This risk was enhanced when daily sitting exceeded 7 h per day [2], a value similar to that seen within the workplace [5‐7]. Likewise, low levels of PA, particularly moderate-vigorous PA, was associated with greater all-cause mortality (risk ratio of 3.3) that was enhanced when combined with greater sitting time [4]. Low PA and high levels of sedentary behaviour may be particularly relevant to the workforce with workplace sitting accounting for a majority of sitting time during a weekday [5, 6]. Additionally, high amounts of workplace sitting appear to result in high levels of leisure-time sitting [5, 8]. Therefore, the workplace provides a key environment for PA and sedentary behaviour management to impact on health and well-being.

Working adults comprise a significant proportion of the population [9]. Therefore, it is important for health promotion efforts to focus on this particular group for long-term health benefits [10]. Previously, PA and/or sedentary behaviours were examined within a university setting due to the substantial number of working hours completed by employees and limited time to undertake PA, a significant barrier reported for PA participation [7, 11‐14]. This setting exemplifies the typical white collar workplace where there has been a focus on employee productivity and/or health [15‐19] via examination of PA, sedentary behaviours, and quality of life (QOL) [11, 12, 20‐22].

To our knowledge, most studies of health, PA and sedentary behaviour within the workplace, including universities, have focussed on specific interventions in small sub-populations of employees over a short timeframe [11, 12, 23, 24]. Very few have examined PA and sedentary behaviours within a workforce over time without targeted interventions. A greater understanding of the typical development of these factors will provide a comparative reference for future workplace interventions to gauge success. Distinctively, the natural progression of sedentary behaviours was examined in the Danish workforce between 1990 and 2010 with sitting time increased by 18 % in individuals of a high socio-economic status [25]. This long-term examination highlighted an increase of sedentary behaviour for a select group that equated to approximately 0.9 % annually, based upon a linear progression [25]. Recent emphasis on workplace interventions suggests a much greater development rate for sedentary behaviour that remains to be confirmed, possibly via a shorter term examination [13, 18, 26]. Further, the results of van der Ploeg and colleagues focused on the sedentary behaviours of a subsample of the working population, with PA and accompanying QOL not examined [25]. Investigation of the normal progression of PA and sedentary behaviour over a reasonable timeframe may clarify the true kinetics of these factors and their impact on health (e.g. QOL) within the workplace. Therefore, the aim of the current study was to examine the change in PA, sedentary behaviour and QOL over time without focussed interventions in a professional skilled workplace (i.e. university). It was hypothesised that PA levels and QOL would decrease over time while sedentary behaviours would increase as a natural progression within the workplace [25].

The age (43.2 ± 11 years), height (169.6 ± 9.1 cm), mass (73.3 ± 15.8 kg), gender distribution (29.4 % male, 70.6 % female), employment type (32.7 % academic, 67.3 % professional) and hours worked (43.8 ± 10.0) for the follow-up cohort were not significantly different to the initial cohort (p > 0.05), indicating similar demographics for both cohorts [7].

The PA levels of academic and professional staff are presented in Table 1. Compared to the initial cohort, the follow up cohort undertook significantly less walking and total transport PA, significantly less vigorous and total leisure PA and significantly less total walking, vigorous and total PA (Table 1). All staff in the follow-up cohort significantly exhibited greater total moderate PA (Table 1). In the follow-up cohort, professional staff undertook significantly less moderate PA at work, significantly more yard work/chores across all categories, and significantly more total moderate PA compared to academic staff (Table 1).

The PA levels of male and female staff are presented in Table 2. Compared to the initial cohort, both male and female staff undertook significantly less walking as transport, significantly less vigorous and total leisure PA, total walking, total vigorous and total PA with significantly more total moderate PA (Table 2). In the follow-up cohort, male staff undertook significantly more walking and total PA at work, significantly more cycling and total transport, significantly more moderate leisure PA with significantly less moderate yard and inside chores compared to females (Table 2).

In regards to sitting, the follow-up cohort experienced greater weekly sitting time compared to the initial cohort with similar differences noted for both employment types and genders (Tables 1 and 2).

There were no differences in QOL noted between employment types or between genders within the follow-up cohort (Tables 3 and 4). Compared to the initial cohort, academic staff exhibited greater VT, RE, MH and MCS, and reduced BP and PCS (Table 3). Similarly, professional staff exhibited greater VT and MCS with reduced BP and PCS compared to the initial cohort (Table 3). With respect to gender, male staff exhibited greater MCS and reduced PF, BP and PCS compared to the initial cohort (Table 4). Female staff also exhibited greater VT and MCS with reduced BP and PCS compared to the initial cohort (Table 4).

The number of hours worked for all staff in the follow-up cohort was significantly associated with age (r = 0.188, p < 0.01), RE (r = 0.125, p < 0.05) and total sitting time (r = 0.249, p < 0.01). Total sitting time was significantly and negatively associated with RP (r = −0.115, p < 0.05), BP (r = −0.124, p < 0.05), MH (r = −0.173, p < 0.01), PCS (r = −0.133, p < 0.05) and MCS (r = −0.116, p < 0.05). Relationships were maintained with similar correlation coefficients when analysed separately for employment category and gender. No other significant correlations were noted.

Using a cross-sectional design, the current study described changes in PA levels, sitting behaviour and QOL in a regional workplace by comparing two different cohorts. Four years later, lower PA levels (leisure, walking, vigorous and total) and overall physical health (QOL) were observed indicating a potential decrease in PA and QOL over time. The lack of focussed interventions within a white-collar workplace may lead to undesirable changes in several risk factors for employee well-being. Development of the most appropriate and effective workplace interventions to address these alarming transformations are vital to minimise further deterioration and subsequent declines in employee health and productivity.

The current results were based upon cross-sectional analyses and self-report methods of PA from two different cohorts that may be limited in terms of reliability, validity and recall bias [39, 40]. Therefore, the current results should be interpreted with some caution. Nonetheless, the most crucial finding of the current study was the significant change in total weekly sitting time with an increase of ~200 min per week (half an hour per day) over the 4-year period. This increase was ~2 % per year (assuming a linear trend) and twice that reported for the Danish workforce between 1990 and 2010 [25]. This trend was disturbing given the relatively short timeframe of four years and the growing body of evidence about the negative health impacts of prolonged sitting [2, 4, 6, 8]. Comparatively, this 30-min increase of sitting per day could equate to ≥1 % increase in all-cause mortality risk [2]. Our results highlight an escalated rate of sedentary behaviour within the workplace and an emerging serious risk factor for workers and management that requires attention.

Importantly, the sitting time increase in the current study was independent of employment category (and indirectly tasks/duties) and gender confirming the workplace as an increasingly sedentary-based environment for all workers [41, 42]. Given the strong, positive relationships between workplace and non-workplace sedentary behaviours [5, 43], and sedentary behaviours and cardiovascular/metabolic disease risk [6, 44, 45], the current results provide further evidence of the workplace being a critical setting for sedentary behaviour reduction and improved employee health and well-being. Further, incorporation of PA may provide additional benefits including increased employee productivity [19, 46‐48]. Therefore, interventions targeting both sedentary behaviours and changes in lifestyle, such as increased PA, may be essential to support employee productivity, minimise health risks and to counteract the evolving sedentary workplace [49].

Another concerning trend found in the current sample was the reduction in PA levels within most categories (i.e. leisure, walking, vigorous and total PA) over time. A similar reduction in PA was recently reported in a cross-sectional survey of Czechoslovakian adults during 2002 to 2011 [50]. Paired with the increased sitting time, the reduction in PA levels places the current workers at an increased risk of premature mortality [5, 41, 42]. This PA reduction could have simply reciprocated the increase in sitting time. However, total moderate PA was greater (10.4–17.7 %) for the follow-up cohort which may have reflected a compensatory effort by participants to enhance PA given their level of workplace sitting [51], or a renewed effort to undertake moderate PA daily in accordance with updated PA recommendations [52]. Regardless, this increase in moderate PA was at the expense of reductions in other PA categories, in particular total self-reported PA, and an increased sitting time. Several studies have recommended sitting time as the key focus for health interventions with PA of lesser importance [43, 53]. Others though have highlighted the importance of PA contributions in addition to sitting time for improved health [2, 54]. The current, long-term data would indicate that both sitting and PA foci require attention to support the well-being of employees [49].

Interventions aimed at interrupting sitting behaviour have been shown to reduce sitting time [49, 55‐57], enhance PA levels [51, 58], and improve cardio-metabolic risk factors [48, 59]. In a recent systematic review, sedentary behaviour interventions were concluded to be effective in reducing workplace sitting for white-collar workers with multi-component and environmental based approaches particularly effective [49]. Others utilising workplace PA interventions have reported similar benefits including improvements in QOL or well-being [20, 60, 61]. In the current study, the absence of a workplace intervention may have contributed to a lower overall physical health measure of QOL for the follow-up cohort. This lower QOL may have resulted from the increased sitting levels, lower total PA levels and/or potentially poorer fitness of employees. Fitness levels of employees were not assessed in the current study but may be a direct result of changes in sitting and PA behaviours [12, 62]. Examination of fitness along with sitting and PA behaviours may clarify the importance of these factors individually or in combination for employee health and productivity [12, 63].

Despite a poorer physical QOL, the follow-up cohort exhibited greater overall mental health (i.e. MCS). This was unexpected given the similarity in demographics between cohorts, the lower PA and greater sedentary behaviour of the follow-up cohort, and the significant and negative associations between mental health indices (MH and MCS) and total sitting time for the initial and follow-up cohorts [7]. An explanation for this result was not obvious but may be related to the greater moderate PA levels for the follow-up cohort with moderate intensity PA demonstrated to enhance mental well-being [20, 22]. Future studies may elucidate the relative contributions of sedentary behaviour and PA on both physical and mental health of employees including changes with workplace PA and/or sitting interventions. These studies are vital given the substantial number of working hours undertaken by employees.

Previously, we reported significant relationships between working hours, sitting time and QOL in university employees [7]. Similar relationships were again reported in the current study, as well as in a separate study where substantial working hours were associated with decreased QOL for accomplished health professionals [64]. This relationship likely reflects the impact of working hours on sitting time, which later influences a range of metabolic and cardiovascular risk factors and finally QOL [6, 43]. Several studies have reported on the beneficial effects of reducing sitting time for cardiovascular biomarkers and risk [48, 59]. However, the optimal workplace intervention to reduce sitting behaviour, increase PA levels and enhance employee health remains unknown [65]. As indicated beforehand, several workplace interventions have been undertaken with reported benefits for PA and/or sitting levels [20, 55, 56, 60, 61]. Future studies will elucidate the benefits of workplace interventions to counteract the developing, sedentary work environment, an important contributor to employee health [66].

It is worth noting that the findings from the current study were limited to cross-sectional sampling over time and a small proportion of staff from one workplace (<20 %). As stated previously, the examination of different cohorts may have inherent limitations concerning survey responses. Though, there were no significant differences in demographics for the two cohorts, indicating comparable population samples. Despite this similarity, a degree of caution is recommended in interpreting the changes in PA and sitting behaviour for the current study. Possible confounders such as working hours were considered in the current study however, others such as fitness levels, cognitive function, work environment, etc. were not and may have influenced results. Further, participants were from the same workplace and surveyed at the same time of the year, across cohorts, to minimise the influences of annual workplace activity and/or season. Longitudinal sampling, using objective measures of PA and sitting across a variety of workplaces may confirm the precise time kinetics of PA and sitting behaviour. Secondly, this study examined staff from one organisation with the proportion of the entire staff who participated in this survey, smaller than expected. Therefore, the current results may not be reflective of all staff within multiple organisations. However, the current study examined a larger sample than prior studies [15, 67] with results for sedentary behaviour similar to that of multiple worker groups within the Danish workforce [25]. Nonetheless, future studies are encouraged to enrol larger working populations and from a range of workplaces for increased generalisability of results to the working population. Finally, all measures in this study were self-reported with the IPAQ previously suggested to overestimate PA in some populations [68]. The limitations of self-reported PA levels have been well documented [39, 40] with the use of objective assessments (e.g. accelerometry) recommended to confirm the current results and clarify the kinetics of PA and sitting behaviour within the workplace.