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NIHR Signal Pedometers can help people get more active as part of an exercise programme

Published on 12 February 2020

doi: 10.3310/signal-000880

Pedometers and accelerometers helped people with diabetes or cardiovascular diseases to increase their physical activity by a moderate amount, though pedometers were more successful. Programmes that involved face-to-face consultations with a facilitator were more effective than those where devices were used in isolation to track progress.

This NIHR-funded systematic review included 36 trials which objectively measured the activity of people with cardiac or metabolic conditions, and in which wearable technology was part of the intervention. Most studies were relatively short-term, with a mean follow-up of 32 weeks. People wearing pedometers walked on average an additional 1,703 steps daily, compared with people not wearing them. Accelerometers were devices worn on the hip or thigh and did not include the more recent smartphone fitness apps.

The summary suggests that people designing exercise programmes could use monitors as a motivational tool within a more complex programme to encourage physical activity, rather than in isolation.

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Why was this study needed?

Metabolic conditions such as type 2 diabetes are increasingly common, with 3.3 million diagnoses in the UK. Type 2 diabetes is closely linked to conditions such as overweight and obesity, and to cardiovascular disease. Improved diet and more physical activity are recommended as the first steps in managing these conditions.

The use of wearable technology is becoming a popular way to encourage people with cardiovascular or metabolic conditions to become more active. However, there is little high-quality evidence about the efficacy of these technologies, or how they can best be used. Previous reviews of the evidence have not looked specifically at people with at least one cardiometabolic condition, which often overlap.

This study was intended to be the most comprehensive review of the evidence in this group of people and to identify aspects of interventions which affected their efficacy.

What did this study do?

This was a systematic review and meta-analysis including 36 randomised controlled trials (RCTs) and 5,208 participants. Twenty studies assessed accelerometers and 16 used pedometers. Six studies were from the UK and nine from the US.

Eligible studies included adults aged 18 or over, with at least one of:

  • type 2 diabetes or risk factors for type 2 diabetes
  • obesity or overweight
  • cardiovascular disease.

Researchers calculated the mean difference in physical activity levels where possible, but because of the use of different scales across studies, they reported overall results as standardised mean difference (SMD). They reported a difference in step count for the pedometer studies. Comparators included usual care, no intervention or minimal intervention. As the review only included RCTs, the results should be reliable.

What did it find?

  • Interventions including monitoring devices (accelerometers or pedometers) resulted in a small to medium increase in physical activity over eight months compared with usual care or other interventions (SMD 0.39, 95% confidence interval [CI] 0.28 to 0.51; 22 studies, 4,856 participants).
  • Pedometer-based interventions resulted in a medium increase in physical activity (SMD 0.52, 95% CI 0.32 to 0.72; 15 studies, 1,741 participants). This was an average increase of 1,703 steps per day compared with the control group (95% CI 1,067 to 2,339). Accelerometer-based interventions resulted in a small increase in physical activity compared with controls (SMD 0.30, 95% CI 0.16 to 0.44; 20 studies, 3,115 participants).
  • Pedometer-based interventions that included face-to-face consultations with a healthcare professional showed the largest improvement in physical activity levels (SMD 0.73, 95% CI 0.50 to 0.97; 10 studies). The effect was smaller for accelerometer studies including consultations (SMD 0.29, 95% CI 0.14 to 0.43; 12 studies). Without support, pedometers had a small effect while accelerometers were ineffective.
  • Other variables, such as diagnosis, age, length of intervention and use of goal setting were not associated with the effectiveness of the intervention. However, monitors showed a greater effect on physical activity levels in studies that included mostly male participants.
  • Monitoring devices did not show any impact on secondary outcomes including glucose levels, blood pressure, cholesterol and body mass index.

What does current guidance say on this issue?

The UK’s four Chief Medical Officers published guidance in September 2019 on the amount of physical activity people should do. For adults, the advice is:

  • To be physically active every day.
  • To do activities to develop or maintain strength in the major muscle groups. Muscle-strengthening activities should be carried out on at least two days a week.
  • Each week, accumulate at least 150 minutes of moderate-intensity activity or 75 minutes of vigorous-intensity activity or even shorter durations of very vigorous-intensity activity; or a combination of moderate, vigorous and very vigorous-intensity activity.

What are the implications?

The study suggests that staff setting up physical activity programmes for people with cardiometabolic disease might want to consider using pedometers as motivational tools, within a wider programme. Accelerometers seem less successful. Also, monitoring devices used without coaching or support from healthcare professionals do not work as well as those used within a programme.

Pedometers might be a relatively quick and cheap way to enhance a physical activity programme, but cannot replace such a programme on their own.

Citation and Funding

Hodkinson A, Kontopantelis E, Adeniji C et al. Accelerometer- and pedometer-based physical activity interventions among adults with cardiometabolic conditions: a systematic review and meta-analysis. JAMA Network Open. 2019;2(10):e1912895.

This study was funded by the NIHR School for Primary Care Research (project number 390 ESWG Workstream 3).

Bibliography

Department of Health and Social Care. UK Chief Medical Officers’ physical activity guidelines. London: Department of Health and Social Care; 2019.

Why was this study needed?

Metabolic conditions such as type 2 diabetes are increasingly common, with 3.3 million diagnoses in the UK. Type 2 diabetes is closely linked to conditions such as overweight and obesity, and to cardiovascular disease. Improved diet and more physical activity are recommended as the first steps in managing these conditions.

The use of wearable technology is becoming a popular way to encourage people with cardiovascular or metabolic conditions to become more active. However, there is little high-quality evidence about the efficacy of these technologies, or how they can best be used. Previous reviews of the evidence have not looked specifically at people with at least one cardiometabolic condition, which often overlap.

This study was intended to be the most comprehensive review of the evidence in this group of people and to identify aspects of interventions which affected their efficacy.

What did this study do?

This was a systematic review and meta-analysis including 36 randomised controlled trials (RCTs) and 5,208 participants. Twenty studies assessed accelerometers and 16 used pedometers. Six studies were from the UK and nine from the US.

Eligible studies included adults aged 18 or over, with at least one of:

  • type 2 diabetes or risk factors for type 2 diabetes
  • obesity or overweight
  • cardiovascular disease.

Researchers calculated the mean difference in physical activity levels where possible, but because of the use of different scales across studies, they reported overall results as standardised mean difference (SMD). They reported a difference in step count for the pedometer studies. Comparators included usual care, no intervention or minimal intervention. As the review only included RCTs, the results should be reliable.

What did it find?

  • Interventions including monitoring devices (accelerometers or pedometers) resulted in a small to medium increase in physical activity over eight months compared with usual care or other interventions (SMD 0.39, 95% confidence interval [CI] 0.28 to 0.51; 22 studies, 4,856 participants).
  • Pedometer-based interventions resulted in a medium increase in physical activity (SMD 0.52, 95% CI 0.32 to 0.72; 15 studies, 1,741 participants). This was an average increase of 1,703 steps per day compared with the control group (95% CI 1,067 to 2,339). Accelerometer-based interventions resulted in a small increase in physical activity compared with controls (SMD 0.30, 95% CI 0.16 to 0.44; 20 studies, 3,115 participants).
  • Pedometer-based interventions that included face-to-face consultations with a healthcare professional showed the largest improvement in physical activity levels (SMD 0.73, 95% CI 0.50 to 0.97; 10 studies). The effect was smaller for accelerometer studies including consultations (SMD 0.29, 95% CI 0.14 to 0.43; 12 studies). Without support, pedometers had a small effect while accelerometers were ineffective.
  • Other variables, such as diagnosis, age, length of intervention and use of goal setting were not associated with the effectiveness of the intervention. However, monitors showed a greater effect on physical activity levels in studies that included mostly male participants.
  • Monitoring devices did not show any impact on secondary outcomes including glucose levels, blood pressure, cholesterol and body mass index.

What does current guidance say on this issue?

The UK’s four Chief Medical Officers published guidance in September 2019 on the amount of physical activity people should do. For adults, the advice is:

  • To be physically active every day.
  • To do activities to develop or maintain strength in the major muscle groups. Muscle-strengthening activities should be carried out on at least two days a week.
  • Each week, accumulate at least 150 minutes of moderate-intensity activity or 75 minutes of vigorous-intensity activity or even shorter durations of very vigorous-intensity activity; or a combination of moderate, vigorous and very vigorous-intensity activity.

What are the implications?

The study suggests that staff setting up physical activity programmes for people with cardiometabolic disease might want to consider using pedometers as motivational tools, within a wider programme. Accelerometers seem less successful. Also, monitoring devices used without coaching or support from healthcare professionals do not work as well as those used within a programme.

Pedometers might be a relatively quick and cheap way to enhance a physical activity programme, but cannot replace such a programme on their own.

Citation and Funding

Hodkinson A, Kontopantelis E, Adeniji C et al. Accelerometer- and pedometer-based physical activity interventions among adults with cardiometabolic conditions: a systematic review and meta-analysis. JAMA Network Open. 2019;2(10):e1912895.

This study was funded by the NIHR School for Primary Care Research (project number 390 ESWG Workstream 3).

Bibliography

Department of Health and Social Care. UK Chief Medical Officers’ physical activity guidelines. London: Department of Health and Social Care; 2019.

Accelerometer- and Pedometer-Based Physical Activity Interventions Among Adults With Cardiometabolic Conditions: A Systematic Review and Meta-analysis

Published on 9 October 2019

Hodkinson A, Kontopantelis E, Adeniji C, van Marwijk H, McMillan B, Bower P, Panagioti M.

JAMA Public Health , 2019

IMPORTANCE: Accelerometers and pedometers are accessible technologies that could have a role in encouraging physical activity (PA) in line with current recommendations. However, there is no solid evidence of their association with PA in participants with 1 or more cardiometabolic conditions such as diabetes, prediabetes, obesity, and cardiovascular disease. OBJECTIVES: To assess the association of accelerometer- and pedometer-based interventions with increased activity and other improved health outcomes in adults with cardiometabolic conditions and to examine characteristics of the studies that could influence the association of both interventions in improving PA. DATA SOURCES: Records from MEDLINE, Embase, the Cochrane Central Register of Controlled Trials, the Cumulative Index to Nursing and Allied Health, and PsycINFO were searched from inception until August 2018 with no language restriction. STUDY SELECTION: Randomized clinical trials or cluster randomized clinical trials evaluating the use of wearable technology devices such as pedometers and accelerometers as motivating and monitoring tools for increasing PA were included. After removing duplicates, the searches retrieved 5762 references. Following abstract and title screening of 1439 references and full-text screening of 107 studies, 36 studies met inclusion criteria. DATA EXTRACTION AND SYNTHESIS: Mean difference in PA was assessed by random-effects meta-analysis. Where the scale was different across studies, the standardized mean difference was used instead. Heterogeneity was quantified using the I2 statistic and explored using mixed-effects metaregression. This study was registered with PROSPERO and followed the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) reporting guideline. MAIN OUTCOMES AND MEASURES: The primary outcome was objectively measured PA in the short to medium term (postintervention to 8 months' follow-up). RESULTS: Thirty-six randomized clinical trials (20 using accelerometers and 16 using pedometers) involving 5208 participants were eligible for review. Meta-analysis involving 32 of these trials (4856 participants) showed medium improvements in PA: accelerometers and pedometers combined vs comparator showed a small significant increase in PA overall (standardized mean difference, 0.39 [95% CI, 0.28-0.51]; I2 = 60% [95% CI, 41%-73%]) in studies of short to medium follow-up over a mean (SD) of 32 (28.6) weeks. Multivariable metaregression showed improved association with PA for complex interventions that involved face-to-face consultation sessions with facilitators (β = 0.36; 95% CI, 0.17-0.55; P < .001) and pedometer-based interventions (β = 0.30; 95% CI, 0.08-0.52; P = .002). CONCLUSIONS AND RELEVANCE: In this study, complex accelerometer- and pedometer-based interventions led to significant small to medium improvements in PA levels of people with cardiometabolic conditions. However, longer-term trials are needed to assess their performance over time. This study found no evidence that simple self-monitored interventions using either pedometers or accelerometers are associated with improvements in PA.

Expert commentary

This important study found that interventions were effective at getting people to do more walking up to eight months after the intervention and that pedometers worked significantly better than accelerometers (for example, body-worn trackers). There was also some evidence suggesting that interventions that offered face-to-face contact with facilitators or health professionals were more effective than those not offering this.

These positive findings build on what we already know about pedometers and suggest we shouldn’t be abandoning them for newer technology, and also that in this patient group at least, having additional support from health care professionals improved outcomes.

Tess Harris, Professor of Primary Care Research, Population Health Research Institute, St George’s University of London

The commentator declares no conflicting interests

Expert commentary

The use of accelerometers and pedometers increased physical activity levels and step-count respectively by modest amounts over the short to medium term (post-intervention to eight months). It was noted that long-term data are needed to document sustained behavioural change, but it should be appreciated that a ‘one size fits all’ intervention is unlikely to be universally successful.

However modest the apparent physical activity increase, doing something is better than nothing, thus getting the least active moving has the highest reward. More complex interventions (including healthcare professional visits) that include accelerometers and pedometers seem to be of greater value than self-motivated use of the devices in isolation.

Professor Mark E Batt, Consultant in Sport and Exercise Medicine, Director of the Centre for Sport, Exercise and Osteoarthritis Research, Versus Arthritis, Nottingham University Hospitals NHS Trust

The commentator declares no conflicting interests