A Systematic Review of Pedometer-Based Walking Interventions for Weight Loss

Richardson, Caroline R.; Newton, Tiffany L.; Sen, Ananda; Jimbo, Masahito; Schwenk, Thomas L.

doi:10.1249/00005768-200605001-01430

Cited by 5 publications

(13 citation statements)

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“…On the other hand, accelerometers are objective, small, non-invasive tools for measuring PA intensity and EE, with the potential to measure locomotive as well as household activities (8 -10) . Furthermore, activity monitors such as accelerometers or pedometers may serve as useful tools for promoting active life behaviour (11,12) .…”

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Real-time estimation of daily physical activity intensity by a triaxial accelerometer and a gravity-removal classification algorithm

et al. 2011

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We have recently developed a simple algorithm for the classification of household and locomotive activities using the ratio of unfiltered to filtered synthetic acceleration (gravity-removal physical activity classification algorithm, GRPACA) measured by a triaxial accelerometer. The purpose of the present study was to develop a new model for the immediate estimation of daily physical activity intensities using a triaxial accelerometer. A total of sixty-six subjects were randomly assigned into validation (n 44) and cross-validation (n 22) groups. All subjects performed fourteen activities while wearing a triaxial accelerometer in a controlled laboratory setting. During each activity, energy expenditure was measured by indirect calorimetry, and physical activity intensities were expressed as metabolic equivalents (MET). The validation group displayed strong relationships between measured MET and filtered synthetic accelerations for household (r 0·907, P,0·001) and locomotive (r 0·961, P, 0·001) activities. In the cross-validation group, two GRPACA-based linear regression models provided highly accurate MET estimation for household and locomotive activities. Results were similar when equations were developed by non-linear regression or sex-specific linear or non-linear regressions. Sedentary activities were also accurately estimated by the specific linear regression classified from other activity counts. Therefore, the use of a triaxial accelerometer in combination with a GRPACA permits more accurate and immediate estimation of daily physical activity intensities, compared with previously reported cutoff classification models. This method may be useful for field investigations as well as for self-monitoring by general users.

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confidence: 99%

Real-time estimation of daily physical activity intensity by a triaxial accelerometer and a gravity-removal classification algorithm

et al. 2011

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“…5 Previous clinical studies on the use of pedometers in physical activity promotion delivered mixed findings. [9][10][11][12] This may be due to lack of patients compliance; a challenge exacerbated by the nature of such interventions, often limited to one meeting or even postal delivery of pedometers without a clearly set goal. 7 Programmes including education sessions, which explain the benefits of regular physical activity, supported by ongoing interaction with participants during the programme often led to better outcomes.…”

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A nurse-led intervention to promote physical activity in sedentary older adults with cardiovascular risk factors: a randomized clinical trial (STEP-IT-UP study)

Chudowolska-Kiełkowska

Małek

2020

European Journal of Cardiovascular Nursing

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Background Regular physical activity should constitute the essence of treatment in patients with cardiovascular risk factors. We sought to determine the benefits of nurse-led intervention to promote physical activity in sedentary older adults in a primary care setting. Methods A group of 199 sedentary older adults (mean age 62.7±6.9, 34.2% male) with at least one more cardiovascular risk factor were randomized 1:1 to receive a nurse-led tutorial on lifestyle modification, including pedometer hand-out – with a daily goal of at least 7000 steps – and supporting phone calls (study group), or without a goal or calls (control group). Body weight (BW), resting heart rate, systolic and diastolic blood pressure (SBP/DBP), total cholesterol (TC) and glucose were assessed at baseline and after 3 months. Results Subjects in the study group ( n = 86) achieved higher daily step count in comparison to the control group ( n = 78), 10,648±3098 vs. 3589±2000, p < 0.0001. The study group presented an improvement in all analysed parameters but glucose, including BW (−2.5±1.9 kg), SBP and DBP (−7.9±7.6 mmHg and −6.2±6.5 mmHg) and TC (−14.7±30.4 mg%), all p < 0.0001. In the control group, all parameters increased or remained unchanged. An inverse correlation between the daily step count and delta of the analysed parameters ( r = −0.26 to −0.72, p < 0.001) was found. Conclusion Nurse-led intervention with pedometer, goal setting and supporting phone calls is an effective way to promote physical activity in sedentary older adults and leads to improvement of cardiovascular risk factors within 3 months.

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“…to offer a good solution for a low-cost, objective monitoring and behavioural modification tool and practical aid for physical activity (PA) interventions. [4][5][6][7][8] Pedometers have therefore gained popularity for use in PA interventions in various settings [9] to facilitate behavioural change.…”

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Steps that count! A feasibility study of a pedometer-based, health-promotion intervention in an employed, South African population

et al. 2014

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Background. The emergence of the pedometer as a useful motivational aid for increasing physical activity (PA) has supported its use in PA interventions. Objectives. To examine the feasibility of a 10-week pedometer-based intervention complemented by regular motivational messages, to increase ambulatory PA; and to determine the minimum sample size required for a randomised, controlled trial (RCT). Methods. Participants, sourced by convenience sampling of employees from an academic institution, were randomly assigned to either an intervention group (IG) (n=11) or control group (CG) (n=11), following baseline health measurements and blinded pedometer wear (week 1). Participants in the IG subsequently wore an unblinded pedometer (10 weeks) to self-monitor daily steps. Individualised messages using pedometer data (IG) and general motivational messages (IG and CG) were provided biweekly. Blinded pedometer wear (IG and CG) and a feedback questionnaire (IG) were completed at week 12. Pedometer data were compared between the IG and CG at week 12. Results. Participants' perceptions of the intervention supported the benefit of the pedometer as a useful motivational aid and a reminder to increase steps per day. Occupational sitting time and inability to incorporate PA into daily routine emerged as the main barrier to adherence. Steps per day increased more in the IG (mean ± standard deviation (SD) 996±1 748) than in the CG (mean±SD 97±750). Modest improvements were noted in all clinical measures (IG). Conclusion. Based on the improvement of 1 000 steps/day (IG), a minimum of 85 participants in the IG and CG, respectively, is required for a future RCT (80% power; p<0.05). We recommend a minimum of 150 participants in each group to account for loss to follow-up and to allow for subgroup analyses.

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A Systematic Review of Pedometer-Based Walking Interventions for Weight Loss

Cited by 5 publications

References 0 publications

Real-time estimation of daily physical activity intensity by a triaxial accelerometer and a gravity-removal classification algorithm

Real-time estimation of daily physical activity intensity by a triaxial accelerometer and a gravity-removal classification algorithm

A nurse-led intervention to promote physical activity in sedentary older adults with cardiovascular risk factors: a randomized clinical trial (STEP-IT-UP study)

Steps that count! A feasibility study of a pedometer-based, health-promotion intervention in an employed, South African population

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