Walking towards health in a university community: A feasibility study
Introduction
Adults may accrue health benefits by accumulating at least 30 min of moderate intensity physical activity, at least five times a week (Department of Health, 2004). This need not only occur through sports or gym-based exercise, but also through lifestyle-based activities such as walking. For example, research has shown that accumulating 10,000 steps/day provides a range of significant clinical health benefits (Le Masurier et al., 2003). Furthermore, there is a dose–response relationship between physical activity and disease-related conditions, with the greatest public health benefits gained as people move from an inactive to a low active state. Achieving 10,000 steps/day remains an important threshold for optimal health. However, dose–response evidence indicates that steps accumulated above baseline, even if not achieving the recommendation of 10,000 steps/day, contribute to improved health (Lee et al., 2004). For this reason, interventions are beneficial if step scores increase, whether or not individuals achieve recommended daily totals.
Despite its benefits and recognition that walking is one of the most accessible forms of activity (Department of Health, 2004), walking behaviour generally remains sporadic and infrequent. This is particularly true for those employed within sedentary occupations. The review of Tudor-Locke and Bassett (2004) supports the idea that action is needed in this population group, with office-based employees typically accumulating only 4000–6000 steps/day. This low level of physical activity at work is not inevitable, and there is high potential for work-based walking to positively influence employee health (Marshall, 2004). Questions remain though regarding how this is most effectively achieved in offices where time pressures to complete daily tasks curtail walking opportunities.
Using a randomised control trial design, this study evaluated the impact of two different types of walking intervention, on the work day step counts and health status of academic and administrative employees at Leeds Metropolitan University, UK. The first, more traditional intervention employed designated walking routes around campus. The second, more radical, intervention involved walking within daily tasks. This approach was based on the notion that all activities contribute to improved health.
Section snippets
Method
Having secured University ethics clearance, a convenience sample of 63 women (age 42 ± 11 years) and 7 men (age 41 ± 11 years) volunteered to be involved and completed informed consent. Pre-intervention % body fat (Tanita TBF 300), waist circumference (Rolifix tape measure) and systolic/diastolic blood pressure (Accoson sphygmomanometer) were assessed. At this point, participants were also distributed unsealed pedometers (Yamax SW 200) and asked to record consecutive work day step counts (waking to
Results
From a total of 70 participants, 58 women and 6 men provided data profiles for baseline and intervention phases. Demographics relative to group allocation are shown in Table 1.
No significant differences were found between groups in age, % body fat, waist circumference or blood pressure at pre-intervention. This was also the case for step counts which, while higher than those reported elsewhere (Tudor-Locke and Bassett, 2004), were still below the recommendation of 10,000 steps/day (control = 8922 ±
Discussion
This study provides important preliminary evidence of the value of refining how to promote physical activity through walking. Both interventions (“walking routes” and “walking in tasks”) offer effective alternatives to simply encouraging employees to walk more during their working day. However, they also caution against simply distributing pedometers to staff. Without augmentation, the control group data suggest that this practice reduced step counts over 10 weeks.
Importantly, the study
Conclusions
Findings raise issues for future investigation. Men were clearly not attracted into this feasibility study, and future work will explore gender-specific recruitment and intervention effects. Reliance on self-report is a limitation, as is sample size and the duration of the study, particularly in regard to assessing change in health variables such as % body fat. Longer-term studies will establish the influence of such campaigns within university-wide programmes. Finally, there is a need to
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