Active Commuting and the Exercise Tracker: What Movement Data Tells You About Absenteeism Risk

One of the biggest mistakes I see organisations make is treating movement as a wellbeing initiative rather than a business signal. Yet when sickness absence is rising, productivity is under pressure, and healthcare costs continue to climb, how people move each day becomes far more than a lifestyle choice. It becomes a measurable indicator of workforce risk.

Active commuting is a good example. Walking or cycling to work is not valuable because it looks positive in a wellbeing report. It matters because it can influence absence risk, resilience, recovery, and ultimately workforce performance. When that activity is viewed alongside exercise tracker data, employers gain a much clearer understanding of whether employees are moving enough to support long-term health or drifting into patterns of inactivity that increase future risk.

Why this matters now

I increasingly view movement behaviour through the same lens as any other business risk indicator. The financial implications are difficult to ignore. The CIPD reported 9.4 days of sickness absence per employee in 2024, up from 7.8 days in 2023. At the same time, the Health and Safety Executive (HSE) estimated that 40.1 million working days were lost to work-related ill health and non-fatal injury in 2024/25.

Those figures should change how senior leaders think about workforce health. Movement is no longer a peripheral wellbeing metric. It belongs in the same conversation as workload management, stress exposure, musculoskeletal health, and absence management.

The real question is not whether walking or cycling to work is generally good for health. We already know that it is. The more commercially relevant question is whether movement data can help organisations identify patterns associated with lower sickness absence and use that insight to intervene before absence shows up in payroll costs, productivity losses, or insurance claims.

What the data suggests

The evidence is becoming increasingly difficult to ignore. Regular active commuting appears to be associated with lower levels of sickness absence, particularly when the behaviour is consistent.

A 2024 Finnish public-sector study involving 28,485 employees found that the most active commuters experienced an 8–18 per cent lower risk of sickness absence days and long-term sickness absence compared with passive commuters. On average, they recorded 4.5 fewer sickness absence days per person-year.

For large employers, that difference is significant. Across a workforce of hundreds or thousands of employees, even modest reductions in absence frequency can translate into meaningful operational and financial gains.

The findings also align with broader public health guidance. The World Health Organization recommends at least 150 minutes of moderate-intensity physical activity per week and specifically includes transport-related activity such as walking and cycling within that recommendation. The NHS reinforces the same message, noting that even a brisk 10-minute daily walk contributes towards activity targets while supporting health, energy levels, and mood.

From an employer's perspective, commuting has a distinct advantage over many other health interventions. It embeds activity into an existing routine. Employees do not need to find additional hours in the day. The movement happens as part of a journey they are already making.

What trackers reveal

This is where exercise tracker data becomes particularly valuable.

A commuting survey can tell you whether someone walks or cycles to work. A tracker can tell you how often they do it, how consistently they maintain the behaviour, and whether overall movement patterns are improving or deteriorating over time.

That distinction matters.

If an employee cycles to work several times a week but remains sedentary for long uninterrupted periods on other days, the risk profile looks very different from what a simple active commuting survey might suggest. The tracker provides context. It measures frequency, intensity, consistency, and trend rather than simply recording intent.

This becomes especially important when considering sedentary behaviour. According to the World Health Organization, excessive sedentary time can negatively affect health and increase the risk of chronic disease.

In practical workforce terms, that means an employee can appear active while still accumulating levels of inactivity that contribute to fatigue, reduced resilience, musculoskeletal strain, and poorer stress tolerance.

What I find most valuable about tracker data is not its ability to monitor individuals. It is its ability to reveal patterns across populations.

Used appropriately and at an aggregated level, movement data can show whether workforce activity levels are improving or declining, whether active commuting initiatives are generating measurable behavioural change, and whether particular employee groups face elevated risks because of shift patterns, lengthy commutes, or highly sedentary job design.

That shifts the conversation away from generic wellbeing campaigns and towards targeted intervention.

From movement to absence

The relationship between movement and absence is rarely straightforward. Human behaviour seldom operates in neat linear patterns. Nevertheless, the connection is operationally important.

The HSE identifies work-related stress as a major contributor to sickness absence and places a clear duty on employers to assess and manage associated risks. Physical activity does not eliminate workplace stressors, but it can support better sleep, improved mood, enhanced recovery, and greater resilience. Those factors can influence whether employees remain productive and present or progress towards absence.

The musculoskeletal dimension is equally important.

The HSE reported that musculoskeletal disorders accounted for 7.1 million lost working days in 2024/25. During the same period, stress, depression, and anxiety accounted for 22.1 million lost working days.

No responsible organisation should assume that active commuting alone can solve either problem. However, regular movement can contribute to stronger baseline conditioning and reduce the burden of sedentary behaviour. Both are relevant when organisations are attempting to reduce recurring short-term absence and manage long-term health-related claims exposure.

From an insurance and risk management perspective, this creates a useful signal. Greater workforce movement may help distinguish between unavoidable clinical events and avoidable absence patterns linked to inactivity, deconditioning, and poor health behaviours.

That distinction becomes increasingly valuable as employers seek better ways to predict and manage health-related costs.

Leadership implications

Too often, movement data sits inside a wellbeing dashboard where it receives little strategic attention. I believe that is a mistake.

HR leaders should treat movement metrics as part of broader absence intelligence. Their value increases when they are analysed alongside absence records, occupational health information, role characteristics, and commuting patterns.

Finance leaders should view movement trends as an early warning indicator. Declining activity levels combined with rising absence can signal emerging costs before those costs fully materialise in productivity losses, payroll expenditure, or insurance renewals.

Risk leaders, meanwhile, should focus on governance and materiality. Any exercise tracker or active commuting initiative must have a clearly defined purpose, transparent employee communication, and appropriate safeguards around data handling.

The strongest business case emerges when anonymised cohort-level data is used to guide practical interventions. These might include cycle-to-work support, flexible start times, improved shower and locker facilities, hybrid working arrangements, or subsidised active travel schemes.

The objective is not data collection for its own sake. The objective is better decision-making.

Strategic response

For organisations serious about reducing absence risk, several priorities stand out.

First, use movement data at cohort level rather than as a compliance mechanism. The value lies in identifying trends across sites, departments, shifts, and job functions.

Second, combine movement data with absence and stress indicators. No single dataset explains workforce risk. Together, they provide a far more complete picture.

Third, remove barriers to active commuting. Secure cycle storage, showers, changing facilities, route support, and flexible scheduling often deliver more impact than broad wellbeing campaigns.

Fourth, focus resources where risk is greatest. Employees in desk-based roles, shift workers, and those with long passive commutes are often the groups with the most to gain from targeted movement support.

Finally, elevate movement metrics into leadership reporting. If executives already review absence, turnover, engagement, and productivity indicators, workforce activity trends deserve a place in the same discussion.

Active commuting is best viewed as a risk modifier rather than a wellbeing initiative. The organisations that gain the greatest advantage will not be those celebrating exercise for its own sake. They will be the organisations using movement data to identify risk earlier, measure it more accurately, and intervene before absence, productivity loss, and health costs begin to escalate.

The challenge for leaders is straightforward: stop treating movement as a wellness conversation and start treating it as a workforce risk conversation. The data is already there. The question is whether your organisation is using it.