Walking prescription of 10 000 steps per day in patients with type 2 diabetes mellitus: a randomised trial in Nigerian general practice

Fayehun, Ayorinde F.; Olowookere, O O; Ogunbode, Adetola M.; Adetunji, A.; Esan, Arinola

doi:10.3399/bjgp18x694613

Cited by 26 publications

(46 citation statements)

References 22 publications

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“…We conducted a post hoc subgroup analysis using the variables of enhanced consultation and monitoring device whereby studies 17,29,30,31,32,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62 were divided into 4 groups to best visualize the results of metaregression analyses (Figure 2). Pedometer interventions incorporating consultations with health professionals were associated with greater increases in PA (SMD, 0.73; 95% CI, 0.50-0.97; n = 10) and supervised accelerometer interventions were associated small to medium PA increases (SMD, 0.29; 95% CI, 0.14-0.43; n = 12) vs comparators.…”

Section: Resultsmentioning

confidence: 99%

“…Interventions were also associated with reduced HbA 1c levels. For example, in an intervention incorporating pedometers and clinician support, Fayehun et al 37 found levels of HbA 1c to be significantly lower in the intervention group at an 11 week follow-up. Although the change across all included studies was statically significant compared with usual care, the clinical relevance of the magnitude of change was small (−0.25%).…”

Section: Discussionmentioning

confidence: 99%

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Accelerometer- and Pedometer-Based Physical Activity Interventions Among Adults With Cardiometabolic Conditions

et al. 2019

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Key PointsQuestionIs the use of accelerometers and/or pedometers associated with increased physical activity in people with cardiometabolic conditions?FindingsThis systematic review and meta-analysis of 32 randomized clinical trials (4856 participants) found that accelerometer- and pedometer-based interventions were associated with small to medium short-term improvements in physical activity and that consultations with health professionals and pedometers were associated with improved physical activity.MeaningAccelerometer- and pedometer-based interventions for people with cardiometabolic conditions have demonstrated encouraging results, but levels of physical activity remain below the targets set by clinical recommendations.

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Section: Resultsmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Accelerometer- and Pedometer-Based Physical Activity Interventions Among Adults With Cardiometabolic Conditions

et al. 2019

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“…For instance, a 10 000 steps per day walking prescription increased steps and decreased HbA1c in patients with type 2 diabetes. 43 Further, Manjoo et al found that each SD increase in daily steps was associated with a 0.21% decrease in HbA1c. 44 However, negative findings have also been reported.…”

Section: Pa Measurementioning

confidence: 98%

mHealth app using machine learning to increase physical activity in diabetes and depression: clinical trial protocol for the DIAMANTE Study

et al. 2020

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IntroductionDepression and diabetes are highly disabling diseases with a high prevalence and high rate of comorbidity, particularly in low-income ethnic minority patients. Though comorbidity increases the risk of adverse outcomes and mortality, most clinical interventions target these diseases separately. Increasing physical activity might be effective to simultaneously lower depressive symptoms and improve glycaemic control. Self-management apps are a cost-effective, scalable and easy access treatment to increase physical activity. However, cutting-edge technological applications often do not reach vulnerable populations and are not tailored to an individual’s behaviour and characteristics. Tailoring of interventions using machine learning methods likely increases the effectiveness of the intervention.Methods and analysisIn a three-arm randomised controlled trial, we will examine the effect of a text-messaging smartphone application to encourage physical activity in low-income ethnic minority patients with comorbid diabetes and depression. The adaptive intervention group receives messages chosen from different messaging banks by a reinforcement learning algorithm. The uniform random intervention group receives the same messages, but chosen from the messaging banks with equal probabilities. The control group receives a weekly mood message. We aim to recruit 276 adults from primary care clinics aged 18–75 years who have been diagnosed with current diabetes and show elevated depressive symptoms (Patient Health Questionnaire depression scale-8 (PHQ-8) >5). We will compare passively collected daily step counts, self-report PHQ-8 and most recent haemoglobin A1c from medical records at baseline and at intervention completion at 6-month follow-up.Ethics and disseminationThe Institutional Review Board at the University of California San Francisco approved this study (IRB: 17-22608). We plan to submit manuscripts describing our user-designed methods and testing of the adaptive learning algorithm and will submit the results of the trial for publication in peer-reviewed journals and presentations at (inter)-national scientific meetings.Trial registration numberNCT03490253; pre-results.

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“…Other studies investigated the effects of the prescription of non-structured walking, using pedometers and targeting the absolute value of at least 10,000 steps per day vs standard care [65], or an increase of at least 3000 steps per day over baseline vs generic advice to engage in 30e60 min per day of any physical activity [66]. Both studies reported a statistically significant and clinically meaningful reduction of HbA1c in the walking groups vs controls, although only a small percentage of subjects had achieved the step goals (6e26%).…”

Section: Evidence Supporting Walking As a Therapy For Type 2 Diabetesmentioning

confidence: 99%

Walking for subjects with type 2 diabetes: A systematic review and joint AMD/SID/SISMES evidence-based practical guideline

Moghetti

Balducci

Guidetti

et al. 2020

Nutrition, Metabolism and Cardiovascular Diseases

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Regular exercise is considered a cornerstone in the management of type 2 diabetes mellitus (T2DM). It improves glucose control and cardiovascular risk factors, contributes to weight loss, and also improves general well-being, likely playing a role in the prevention of chronic complications of diabetes. However, compliance to exercise recommendations is generally inadequate in subjects with T2DM. Walking is the most ancestral form of physical activity in humans, easily applicable in daily life. It may represent, in many patients, a first simple step towards lifestyle changes. Nevertheless, while most diabetic patients do not engage in any weekly walking, exercise guidelines do not generally detail how to improve its use. The aims of this document are to conduct a systematic review of available literature on walking as a therapeutic tool for people with T2DM, and to provide practical, evidence-based clinical recommendations regarding its utilization in these subjects. Data synthesis: Analysis of available RCTs proved that regular walking training, especially when supervised, improves glucose control in subjects with T2DM, with favorable effects also on cardiorespiratory fitness, body weight and blood pressure. Moreover, some recent studies have shown that even short bouts of walking, used for breaking prolonged sitting, can ameliorate glucose profiles in diabetic patients with sedentary behavior. Conclusions: There is sufficient evidence to recognize that walking is a useful therapeutic tool for people with T2DM. This document discusses theoretical and practical issues for improving its use. This article is co-published in the journals Sport Sciences for Health and Nutrition, Metabolism and Cardiovascular Diseases. * Systematic Review registration: PROSPERO (CRD42020171515).

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Walking prescription of 10 000 steps per day in patients with type 2 diabetes mellitus: a randomised trial in Nigerian general practice

Abstract: Adherence to 10 000 steps per day prescription is low but may still be associated with improved glycaemic control in T2DM. Motivational strategies for better adherence would improve glycaemic control.

Cited by 26 publications

References 22 publications

Accelerometer- and Pedometer-Based Physical Activity Interventions Among Adults With Cardiometabolic Conditions

Accelerometer- and Pedometer-Based Physical Activity Interventions Among Adults With Cardiometabolic Conditions

mHealth app using machine learning to increase physical activity in diabetes and depression: clinical trial protocol for the DIAMANTE Study

Walking for subjects with type 2 diabetes: A systematic review and joint AMD/SID/SISMES evidence-based practical guideline

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