The occupational sitting and physical activity questionnaire (OSPAQ): a validation study with accelerometer-assessed measures

Prevalence of metabolic dysfunction-associated fatty liver disease among information technology employees in India

The Information Technology (IT) sector is a leading industry that fuels India's economic growth. However, the work culture in this sector often promotes sedentary lifestyle, inadequate physical activity, and unhealthy dietary patterns which are risk factors for various non-communicable disease (NCD). This study aims to assess the prevalence of metabolic dysfunction-associated fatty liver disease (MAFLD) among IT employees and its association with behavioural and biological risk factors. This cross-sectional study involved 345 IT employees in Hyderabad, India, who responded to a questionnaire on their occupational sitting, shift work, stress, sleep duration, smoking, physical activity, and food habits. Anthropometric, biochemical, metabolic, and liver function parameters were evaluated. MAFLD was diagnosed using a Vibration-Controlled Transient Elastography FibroScan. Chi-square test and Spearman's rank correlation were performed to analyse the associations and correlations between risk factors. The median age of the employees was 38 years (34-43 years) with a body mass index (BMI) of 244 (70.72%) obese. Approximately, 248 (71.88%), 89 (25.80%), 241 (69.86%) and 131 (37.97%) of employees were found to sit for long hours at work, had shift work, sleep deprivation and stress, respectively. Almost 72 (20.87%) of IT employees had elevated fasting blood glucose (FBG) and 264 (76.52%) had high low-density lipoprotein (LDL-C). Metabolic Syndrome (MetS) was present in 118 (34.20%) of the employees. A total of 290 (84.06%) employees had increased liver fat accumulation indicating MAFLD. There is high prevalence of MAFLD among IT employees, highlighting the urgent need for workplace interventions and health promotion initiatives addressing MAFLD risk in the IT workforce.

Sitting time at work and cardiovascular disease risk-a longitudinal analysis of the Study on Mental Health at Work (S-MGA)

PURPOSE

This study analyzed longitudinal data to examine whether occupational sitting time is associated with increases in body mass index (BMI) and five-year cardiovascular disease (CVD) risk.

METHODS

We included 2,000 employed men and women (aged 31-60) from the German Study on Mental Health at Work (S-MGA) for a BMI analysis and 1,635 participants free of CVD at baseline (2011/2012) for a CVD analysis. Occupational sitting time was categorized into five groups (< 5, 5 to < 15, 15 to < 25, 25 to < 35, and ≥ 35 h per week). BMI change was measured from baseline (2011/2012) to follow-up (2017). Incident CVD included hypertension, heart disease, myocardial infarction, and stroke (all self-reported). Multiple linear regression examined the association between sitting time and BMI change, while modified Poisson regression analyzed CVD incidence, adjusting for age, sex, occupation, shift work, leisure activity, and smoking by sex. Covariates were self-reported.

RESULTS

Over five years, the average BMI change was 0.49 (SD 1.9). We found no association between baseline occupational sitting time and BMI changes, with consistent results in sensitivity analyses. During this period, 245 participants developed cardiovascular disease. There was no increased risk of CVD among those with more sitting time compared to less. No differences in risk were found between women and men.

CONCLUSION

There was no association between occupational sitting time and five-year changes in BMI or incident CVD.

A year-long case study of multicomponent interventions to promote physical activity in office workers: A randomized control trial

The purpose of this study was to identify if workplace interventions, (i.e., mindfulness classes and monetary incentives for gym attendance), influenced workers' physical activity. Office-based participants were randomized into one of four intervention assignments: 1) CONTROL (no interventions) (n = 40), 2) MINDFULNESS (n = 33), 3) GYM INCENTIVE (n = 41), or 4) BOTH mindfulness and gym incentive (n = 31). Activity-tracker and self-reported metabolic expenditure and step counts were gathered between January 2020 and December 2020 whereas the eight-week long interventions were provided between January and March 2020, when the impact of COVID-19 pandemic started. While physical activity decreased during the follow-up months, percent changes of physical activity at 1-, 2-, and 9-month follow-ups compared to baseline show no significant differences between or across the four intervention assignments (p > 0.05). These results suggest that the intervention assignments had no effect on physical activity from baseline. The lack of effectiveness of these interventions on participant physical activity could be attributed to the influence of the COVID-19 pandemic, and any effects of the interventions could not outweigh the effects of the pandemic.

Workplace active breaks for university workers: the UNIFIT pilot study protocol

Sedentary behaviour (SB) is associated with an increased risk of metabolic issues (negative effects on diabetes, fasting glucose, fasting insulin, triglycerides, high-density lipoprotein cholesterol and waist circumference), cardiovascular diseases, increased risk of all-cause mortality and accelerated ageing of skeletal muscle power. The research on SB is relatively new, with much evidence regarding its negative health effects gathered within the last decade. Office workers exhibit pronounced sedentary habits, with studies indicating they can spend up to 82% of their working day sitting. To address this issue, workplaces are responsible for promoting physical activity and minimising SB among employees. In this context, one potential strategy for reducing SB and its associated risks could be implementing active breaks (ABs). ABs are defined as brief, structured periods of physical activity or exercise. This quasi-experimental pilot study aims to implement workplace ABs programme aimed at interrupting SB among the University of Bologna (Italy) workers, and it will include both intervention and control groups. The intervention group will participate in an 8-week ABs programme. The findings from this study could establish a robust basis for future large-scale research on the effectiveness of ABs interventions in workplace settings.

Defining a systems framework for characterizing physical work demands with wearable sensors

Measuring the physical demands of work is important in understanding the relationship between exposure to these job demands and their impact on the safety, health, and well-being of working people. However, work is changing and our knowledge of job demands should also evolve in anticipation of these changes. New opportunities exist for noninvasive long-term measures of physical demands through wearable motion sensors, including inertial measurement units, heart rate monitors, and muscle activity monitors. Inertial measurement units combine accelerometers, gyroscopes, and magnetometers to provide continuous measurement of a segment's motion and the ability to estimate orientation in 3-dimensional space. There is a need for a system-thinking perspective on how and when to apply these wearable sensors within the context of research and practice surrounding the measurement of physical job demands. In this paper, a framework is presented for measuring the physical work demands that can guide designers, researchers, and users to integrate and implement these advanced sensor technologies in a way that is relevant to the decision-making needs for physical demand assessment. We (i) present a literature review of the way physical demands are currently being measured, (ii) present a framework that extends the International Classification of Functioning to guide how technology can measure the facets of work, (iii) provide a background on wearable motion sensing, and (iv) define 3 categories of decision-making that influence the questions that we can ask and measures that are needed. By forming questions within these categories at each level of the framework, this approach encourages thinking about the systems-level problems inherent in the workplace and how they manifest at different scales. Applying this framework provides a systems approach to guide study designs and methodological approaches to study how work is changing and how it impacts worker safety, health, and well-being.

Questionnaire-based scoring system for screening moderate-to-vigorous physical activity in middle-aged Japanese workers

OBJECTIVES

Currently available questionnaires have limited ability to measure physical activity (PA) using accelerometers as a gold standard. This study aimed to develop a PA questionnaire for middle-aged Japanese workers and propose a PA scoring system for predicting low moderate-to-vigorous PA (MVPA).

METHODS

A total of 428 participants (median age 49 years; 75.8% men) participated in a 7-day PA measurement using an accelerometer and a questionnaire. The association between questionnaire responses and low MVPA (<150 min/wk) was assessed by logistic regression analysis. A score was assigned to each response based on the correlation coefficients of the multivariate model. The ability of the sum score to predict low MVPA was assessed using the area under the receiver operating characteristic curve (AUC).

RESULTS

Five questionnaire items were used for measuring PA scores (range: 0-50; higher scores indicated a higher probability of low MVPA). The AUC was 0.741 (95% CI, 0.689-0.792), and the sensitivity and specificity at the optimal cut-off value were 66.7% and 68.2%, respectively. This predictive ability was slightly increased by body mass index (AUC 0.745 [95% CI, 0.693-0.796]; sensitivity 69.9%; specificity 66.9%). These predictive values were greater than those of conventional questionnaires used in health checkups in Japan (P < .05).

CONCLUSIONS

This questionnaire-based PA scoring system showed moderate accuracy in predicting low MVPA. It is useful for screening physically inactive workers and promoting PA.

The impact of leisure-time physical activity and occupational physical activity on sickness absence. A prospective study among people with physically demanding jobs

OBJECTIVES

This prospective study aimed to investigate the relation between occupational physical activity (OPA), leisure-time physical activity (LTPA) and sickness absence (SA). A second aim was to explore the possible interaction effects between OPA and LTPA in determining SA.

METHODS

The study is based on data from 304 workers in the service and manufacturing sector. Moderate-to-vigorous physical activity (MVPA) was measured by two Axivity AX3 accelerometers for 2-4 consecutive working days. Participants reported on the level of their physically demanding tasks by using a 5-item scale from the Job Content Questionnaire. Data on SA was provided by the administration departments of the participating companies during a 1 year follow-up period. We used negative binomial regression models for our statistical analysis.

RESULTS

After adjusting for potential confounders, physically demanding tasks were significantly associated with a higher number of SA episodes and days. Accelerometer-assessed MVPA during leisure time but not during work was correlated with lower SA. Our results show a significant interaction effect between MVPA during work and leisure time in the sense that more MVPA during work increased the risk for SA days only among workers with low LTPA, but not among workers with moderate-to-high LTPA.

CONCLUSIONS

Our results indicate that LTPA and OPA are related to opposite SA outcomes. MVPA during leisure time and work interact in their effect on SA, whereas we found no interaction effect between LTPA and self-reported physically demanding tasks in determining SA.

"Are We Working (Too) Comfortably?": Understanding the Nature of and Factors Associated with Sedentary Behaviour When Working in the Home Environment

Home working has increased due to COVID-19, but little is known about how this change has impacted the health risk behaviour of elevated sedentary time. The aim of this cross-sectional exploratory study was to assess occupational sitting behaviour when working at home, and use the Capability Opportunity Motivation-Behaviour (COM-B) model to identify influences on this behaviour. University staff (n = 267; 69% female; 92% white) who were predominantly working from home completed a questionnaire to assess sitting time, sitting breaks, demographic and occupational characteristics, and a 7-item COM-B questionnaire and open-ended questions to assess influences on time spent sitting whilst working from home. Data were analysed descriptively, a repeated measures ANOVA was used to determine differences in the COM-B items, and binary logistic regression was used to examine predictors of sitting time. Staff spent on average 89.5% (SD = 17.1) of their time sitting whilst working at home, and took an average of 1.36 (1.38) sitting breaks per hour. There were significant and meaningful differences in the influence of the COM factors on ability and willingness to reduce sitting behaviour (p < .0001; ηp 2 = .38), and the open-ended responses added further context. The included variables accounted for 20.7% of variance in sitting behaviour, with age, sitting breaks, motivation-automatic, and opportunity-physical contributing significantly. Working from home leads to elevated levels of sitting, and the COM-B provides a useful model to identify key influences on ability and willingness to reduce sitting. Strategies incorporating regular breaks, habit formation/reversal, and restructuring the physical environment may be beneficial.

Physical activity changes among office workers during the COVID-19 pandemic lockdown and the agreement between objective and subjective physical activity metrics

After the onset of the COVID-19 pandemic, many office workers transitioned to working-from-home (WFH) which altered routine physical activity (PA). To understand how these workers' PA were affected throughout the pandemic, PA data collected in January, April, June, and December 2020 with an activity tracker and a validated survey were analyzed. Between January and December, it was found that step counts during the weekday decreased (p < 0.01), weekday heart rate was higher than weekends (p < 0.01), activity-tracker and self-reported PA decreased (p < 0.01), and sitting time increased (p < 0.01). To understand the agreement between the objective and subjective METs, Bland-Altman analyses were completed and demonstrated an acceptable level of agreement. Findings show decreased level of PA amongst WFH office workers and that the activity tracker and survey are reliable methods of recording WFH PA.

What works to reduce sedentary behavior in the office, and could these intervention components transfer to the home working environment?: A rapid review and transferability appraisal

Background

Working patterns have changed dramatically due to COVID-19, with many workers now spending at least a portion of their working week at home. The office environment was already associated with high levels of sedentary behavior, and there is emerging evidence that working at home further elevates these levels. The aim of this rapid review (PROSPERO CRD42021278539) was to build on existing evidence to identify what works to reduce sedentary behavior in an office environment, and consider whether these could be transferable to support those working at home.

Methods

The results of a systematic search of databases CENTRAL, MEDLINE, Embase, PsycInfo, CINHAL, and SportDiscus from 10 August 2017 to 6 September 2021 were added to the references included in a 2018 Cochrane review of office based sedentary interventions. These references were screened and controlled peer-reviewed English language studies demonstrating a beneficial direction of effect for office-based interventions on sedentary behavior outcomes in healthy adults were included. For each study, two of five authors screened the title and abstract, the full-texts, undertook data extraction, and assessed risk of bias on the included studies. Informed by the Behavior Change Wheel, the most commonly used intervention functions and behavior change techniques were identified from the extracted data. Finally, a sample of common intervention strategies were evaluated by the researchers and stakeholders for potential transferability to the working at home environment.

Results

Twenty-two studies including 29 interventions showing a beneficial direction of effect on sedentary outcomes were included. The most commonly used intervention functions were training (n = 21), environmental restructuring (n = 21), education (n = 15), and enablement (n = 15). Within these the commonly used behavior change techniques were instructions on how to perform the behavior (n = 21), adding objects to the environment (n = 20), and restructuring the physical environment (n = 19). Those strategies with the most promise for transferring to the home environment included education materials, use of role models, incentives, and prompts.

Conclusions

This review has characterized interventions that show a beneficial direction of effect to reduce office sedentary behavior, and identified promising strategies to support workers in the home environment as the world adapts to a new working landscape.Systematic Review Registration: https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42021278539, identifier CRD42021278539.

Association between Physical Activity Guidelines and Sedentary Time with Workers' Health-Related Quality of Life in a Spanish Multinational Company

Workers spend a large amount of time working, limiting the possibility of meeting physical activity (PA) guidelines. A better health-related quality of life (HRQoL) provides benefits for the employee and company. The aim of this study was to analyse the associations of four behavioural categories between compliance with PA guidelines (aerobic and strength training) and sedentary time with workers’ HRQoL. We classified the sample into four categories: (1) “Physically active & low sedentary”, (2) “Physically active & high sedentary”, (3) “Physically inactive & low sedentary”, and (4) “Physically inactive & high sedentary”. Student’s t-tests for two independent samples and a multiple linear regression adjusted for covariates were performed. A total of 1004 employees of the multinational company Grupo Red Eléctrica participated. Compliance with PA guidelines and a low level of sedentarism were associated with higher HRQoL (p < 0.001). Compared to “physically inactive & high sedentary”, “physically active & low sedentary” and “physically active & high sedentary” workers obtained a better HRQoL (B = 5.47; p = 0.006 and B = 4.10; p = 0.003; respectively). In this sample of Spanish workers, being physically active was associated with a better HRQoL, even in those with high sedentary time. Experimental studies are needed to confirm our results.

Sitting less and moving more for improved metabolic and brain health in type 2 diabetes: 'OPTIMISE your health' trial protocol

BACKGROUND

Clinical practice guidelines recommend that adults with type 2 diabetes (T2D) sit less and move more throughout the day. The 18-month OPTIMISE Your Health Clinical Trial was developed to support desk-based workers with T2D achieve these recommendations. The two-arm protocol consists of an intervention and control arms. The intervention arm receives 6 months health coaching, a sit-stand desktop workstation and an activity tracker, followed by 6 months of text message support, then 6 months maintenance. The control arm receives a delayed modified intervention after 12 months of usual care. This paper describes the methods of a randomised controlled trial (RCT) evaluating the effectiveness and cost-effectiveness of the intervention, compared to a delayed intervention control.

METHODS

This is a two-arm RCT being conducted in Melbourne, Australia. Desk-based workers (≥0.8 full-time equivalent) aged 35-65 years, ambulatory, and with T2D and managed glycaemic control (6.5-10.0% HbA1c), are randomised to the multicomponent intervention (target n = 125) or delayed-intervention control (target n = 125) conditions. All intervention participants receive 6 months of tailored health coaching assisting them to "sit less" and "move more" at work and throughout the day, supported by a sit-stand desktop workstation and an activity tracker (Fitbit). Participants receive text message-based extended care for a further 6-months (6-12 months) followed by 6-months of non-contact (12-18 months: maintenance). Delayed intervention occurs at 12-18 months for the control arm. Assessments are undertaken at baseline, 3, 6, 12, 15 and 18-months. Primary outcomes are activPAL-measured sitting time (h/16 h day), glycosylated haemoglobin (HbA1c; %, mmol/mol) and, cognitive function measures (visual learning and new memory; Paired Associates Learning Total Errors [adjusted]). Secondary, exploratory, and process outcomes will also be collected throughout the trial.

DISCUSSION

The OPTIMISE Your Health trial will provide unique insights into the benefits of an intervention aimed at sitting less and moving more in desk-bound office workers with T2D, with outcomes relevant to glycaemic control, and to cardiometabolic and brain health. Findings will contribute new insights to add to the evidence base on initiating and maintaining behaviour change with clinical populations and inform practice in diabetes management.

TRIAL REGISTRATION

ANZCTRN12618001159246 .

Enhancing the differentiation of walking and standing via the ratio of plantar pressures

Differentiation of standing and walking based on plantar pressures is helpful in developing strategies to reduce health risks in the workplace. In order to improve the differentiation ability, the paper proposes a new metric for posture differentiation, that is, the pressure ratio on the two anatomical plantar regions. The plantar pressures were collected from 30 persons during walking and standing. After verifying the normal distribution of the pressure ratio by the Monte Carlo method, two-way repeated-measures ANOVA was conducted for the pressure ratios. The advantage of the pressure ratio over two conventional pressure metrics (the average pressure and the peak pressure) is demonstrated by its much larger size effect. Furthermore, the pressure ratio permits to establish value ranges corresponding to walking and standing, which are less influenced by specific person factors, thus facilitating the design of a standardized posture recognition system. The underlying mechanism underlying the pressure ratio is discussed from the aspect of biomechanics of movement.

Occupational determinants of physical activity at work: Evidence from wearable accelerometer in 2005-2006 NHANES

Occupation determines workers' physical activity (PA) in the workplace, an important health behavior contributing to health outcomes. However, self-reported measure limits our understanding of how occupational tasks differentiate workers' PA in terms of the type, frequency, intensity, and duration. In addition, accurate estimation of occupation-based PA during workers' actual working hours requires precise work schedule information. To address these limitations, this study employs data on accelerometer-monitored PA and work schedule from the 2005-2006 National Health and Nutrition Examination Survey (NHANES). It asks two questions: How do occupations determine PA among regular daytime workers in the United States? Second, how large a share of PA difference between two occupations is attributable to differences in the implicit occupational tasks, relative to workers' demographic, health preconditions, and socioeconomic attributes? Calculating PA during the 9-to-5 period among daytime regular workers on weekdays and conducting Blinder-Oaxaca decomposition analysis, we yield insights into the occupational determinant of both PA volume (total activity counts) and fragmentation (bouts of activities). Worksite health promotion can utilize the objective occupation-PA link and design occupation-tailored interventions, which is currently underdeveloped in the United States. Moreover, our findings shed light on the physical nature of occupation, suggesting a fruitful step to reconcile the documented mixed findings on occupation-based PA and health outcomes in future studies.

Validity of the occupational sitting and physical activity questionnaire (OSPAQ) for home-based office workers during the COVID-19 global pandemic: A secondary analysis

High levels of occupational sitting is an emerging health concern. As working from home has become a common practice as a result of COVID-19, it is imperative to validate an appropriate self-report measure to assess sitting in this setting. This secondary analysis study aimed to validate the occupational sitting and physical activity questionnaire (OSPAQ) against an activPAL4™ in full-time home-based 'office' workers (n = 148; mean age = 44.90). Participants completed a modified version of the OSPAQ and wore an activPAL4™ for a full work week. The findings suggest that the modified OSPAQ has fair levels of validity in terms of correlation for sitting and standing (ρ = 0.35-0.43, all p < 0.05) and agreement (bias = 2-12%) at the group level; however, estimates were poor at an individual level, as suggested by wide limits of agreement (±22-30%). Overall, the OSPAQ showed to be an easily administered and valid questionnaire to measure group level sitting and standing in this sample of adults.

Physical activity and sitting time in occupational groups from Papua New Guinea

PURPOSE

To assess physical activity and sitting time in workers from varied occupations in a regional urban population of Papua New Guinea (PNG), to identify priorities for worker health in a country experiencing rapid industrial development.

METHODS

PNG workers from a variety of settings (office [n = 213], blue-collar [n = 131], and retail [n = 52]) completed an interviewer-administered demographic questionnaire, the International Physical Activity Questionnaire-short form (IPAQ) and the Occupational Sitting and Physical Activity Questionnaire (OSPAQ); and had height and weight measured. Comparison of activity and sitting time between occupational groups was undertaken using generalised linear equations, with models including demographic variables and sitting time/physical activity as appropriate.

RESULTS

Participants reported median total physical activity (walking, moderate and vigorous PA) of 5025 MET-min/week (80% constituting walking) and over 97% of participants met physical activity guidelines (> 600 MET-min/week). Total sitting time was 7 hours/day (IPAQ) and workers sat for 50% of working hours (OSPAQ). There was no difference between groups total physical activity. Office workers reported more total sitting time and a greater proportion of their work time spent sitting than blue-collar and retail workers reported significantly less total sitting time both p < 0.001) and retail workers reported a greater proportion of their work hours standing than office workers and blue-collar workers.

CONCLUSIONS

Sitting time in PNG office workers was high, similar to findings from high-income countries, but total physical activity was also high in all groups. As the PNG economy develops and office-based work becomes more prevalent, the challenge will be to minimise sitting time at work whilst maintaining high total physical activity.

A Mixed Methods Evaluation of a Digital Intervention to Improve Sedentary Behaviour Across Multiple Workplace Settings

BACKGROUND

Prolonged sedentary behaviour (SB) is associated with risk of chronic diseases. Digital interventions in SB require mixed method evaluations to understand potential for impact in real-world settings. In this study, the RE-AIM QuEST evaluation framework will be used to understand the potential of a digital health promotion application which targets reducing and breaking up SB across multiple workplace settings.

METHODS

Four companies and 80 employees were recruited to use a digital application. Questionnaires were used to measure SB, and additional health and work-related outcomes at baseline, one month, three month and six month follow-up. Qualitative data was collected through focus groups with employees and interviews with stakeholders. Questionnaire data was analysed using Wilcoxon Sign Rank tests and qualitative data was thematically analysed.

RESULTS

The digital application significantly increased standing time at one month for the total group and transitions per hour in one of the companies. Facilitators and barriers were identified across RE-AIM.

CONCLUSIONS

Addressing the barriers which have been identified, while maintaining the positive attributes will be critical to producing an effective digital application which also has the potential for impact in the real world.