Effectiveness of Interventions for Promoting Objectively Measured Physical Activity of Adults With Type 2 Diabetes: A Systematic Review

Alothman, Shaima; Yahya, Abdalghani; Rucker, Jason; Kluding, Patricia M.

doi:10.1123/jpah.2016-0528

Cited by 28 publications

(26 citation statements)

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“…Nevertheless, the overall positive results suggest that using wearable technology is also a promising tool to promote PA in healthcare settings. Similar to other reviews (14,16), large heterogeneity was found in the study characteristics. However, after excluding 2 studies based on leave-one-out sensitivity analyses, heterogeneity was acceptable.…”

Section: Discussionsupporting

confidence: 84%

“…Literature reviews have shown that interventions that include objective monitoring of PA are moderately effective in healthy subjects and relatively inactive populations (13)(14)(15)(16). However, the methodology of these studies differs considerably.…”

Section: Study Selectionmentioning

confidence: 99%

“…First, the types of populations included varies between reviews and between studies included in reviews. The reviews concentrated, for example, on children, adults (with and without a diagnosis of a specific disease), or, in contrast, on a specific population, such as obese adults with diabetes (13)(14)(15)(16). Therefore, these results cannot be transferred directly to healthcare and rehabilitation.…”

Section: Study Selectionmentioning

confidence: 99%

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Effectiveness of healthcare interventions using objective feedback on physical activity: A systematic review and meta-analysis

Braakhuis¹,

Berger²,

Bussmann³

2019

J Rehabil Med

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Wearable technology is progressively applied in health care and rehabilitation to provide objective insight into physical activity levels. In addition, feedback on physical activity levels delivered by wearable monitors might be beneficial for optimizing their physical activity. A systematic review and meta-analysis was conducted to evaluate the effectiveness of interventions using feedback on objectively measured physical activity in patient populations. Fourteen studies including 1902 patients were analyzed. Overall, the physical activity levels of the intervention groups receiving objective feedback on physical activity improved, compared to the control groups receiving no objective feedback. Mostly, a variety of other strategies were applied in the interventions next to wearable technology. Together with wearable technology, behavioral change strategies, such as goalsetting and action planning seem to be an important ingredient to promote physical activity in health care and rehabilitation. Objective: To determine the effectiveness of health care interventions promoting physical activity, which use objective feedback on physical activity delivered using wearable activity monitors as part of the in tervention. Intervention groups are compared with control groups receiving usual care or interventions without objective feedback. Data sources: PubMed, EMBASE, MEDLINE and Co chrane Library were searched to identify randomized controlled trials. Study selection: Randomized controlled trials pu blished after 2007 with (former) healthcare patients ≥ 21 years of age were included if physical activity was measured objectively using a wearable moni tor for both feedback and outcome assessment. The main goal of included studies was promoting phy sical activity. Any concurrent strategies were related only to promoting physical activity. Data extraction: Effect sizes were calculated using a fixed-effects model with standardized mean dif ference. Information on study characteristics and interventions strategies were extracted from study descriptions. Data synthesis: Fourteen studies met the inclusion criteria (total n = 1,902), and 2 studies were exclu ded from metaanalysis. The overall effect size was in favour of the intervention groups (0.34, 95% CI 0.23-0.44, p < 0.01). Study characteristics and inter vention strategies varied widely. Conclusion: Healthcare interventions using feedback on objectively monitored physical activity have a moderately positive effect on levels of physical acti vity. Further research is needed to determine which strategies are most effective to promote physical ac tivity in healthcare programmes.

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Section: Discussionsupporting

confidence: 84%

Section: Study Selectionmentioning

confidence: 99%

Section: Study Selectionmentioning

confidence: 99%

See 1 more Smart Citation

Effectiveness of healthcare interventions using objective feedback on physical activity: A systematic review and meta-analysis

Braakhuis¹,

Berger²,

Bussmann³

2019

J Rehabil Med

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“…Diabetes care givers are encouraged to give advice on physical activity and such advice may be combined with using a pedometer or a comparable self-monitoring device (4, 5). Pedometers have shown positive effects on increased physical activity in short term in populations with type 2 diabetes (3,(6)(7)(8)(9) and are recommended for use to increase motivation to be physically active (10,11). Yet, it is unclear whether self-monitoring alone, or in combination with counseling is the most feasible and effective alternative (8,9,12).…”

Section: Introductionmentioning

confidence: 99%

Process Evaluation of the Sophia Step Study-A Primary Care Based Three-Armed Randomized Controlled Trial Using Self-Monitoring of Steps With and Without Counseling in Prediabetes and Type 2 Diabetes

Rossen

Hagströmer

Yngve

et al. 2020

Preprint

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Background Describing implementation features of an intervention is required to compare interventions and to inform policy and best practice. The aim of this study was to conduct a process evaluation of the first 12 months of the Sophia Step Study: a primary care based RCT evaluating a multicomponent (self-monitoring of daily steps plus counseling) and a single component (self-monitoring of steps only) physical activity intervention to standard care on cardiometabolic health. Methods The evaluation was guided by the Medical Research Council Guidance for complex interventions. To describe the implementation communication with the health professionals implementing the interventions, attendance records and tracking of days with self-monitored pedometer-determined steps were used. Change in physical activity behaviour was measured at baseline, 6 and 12 months as daily steps by accelerometry. Results From April 2013 to January 2018 188 participants were randomized. Response rate was 49% and drop out was 10%. The interventions were delivered as intended with minor deviation from the protocol and dose received was satisfying for both the multicomponent and single component group. The mean [95% Confidence Interval (CI)] change in daily steps from baseline to 6 months was 941(227, 1655) steps/day for the multicomponent intervention group, 990 (145, 1836) step/day for the single component group and -506 (-1118, 107) for the control group. The mean (95% CI) change in daily steps from baseline to 12 months was 31(-507, 570) steps/day for the multicomponent intervention group, 144 (-566, 853) step/day for the single component group and -890 (-1485, -294) for the control group. There was a large individual variation in daily steps at baseline as well as in step change in all three groups.Conclusions Applying self-monitoring of steps is a feasible method to implement as support for physical activity in the primary care setting both with and without counseling support. While physical activity levels increased after 6 months, maintenance of physical activity is a more realistic expectation in the long term. Physical activity behavior varies among individuals and support for physical activity should be tailored to the person. Trial registration ClinicalTrials.gov, NCT02374788. Registered 2 March 2015 - Retrospectively registered, https://clinicaltrials.gov/ct2/show/NCT02374788

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“…Professional and regular counseling might be one strategy to start with. Such approaches, among others, include face-toface exercise or behavioral/cognitive consultation, or motivational phone calls promoting physical and leisure sports activities [2,13,14]. With professional support and repeated contacts, which seem to be important for behavioral changes [8], people might overcome initial inhibitions, start being active or increase their activity level and continue to be active on a regular basis as they experience the benefits of being so (e.g.…”

Section: Introductionmentioning

confidence: 99%

The effects of weekly motivational phone calls on the amount of leisure sports activities and changes in physical fitness

Bădicu

Gatterer

Balint

et al. 2018

PPS

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The purpose of this study is to investigate whether motivational weekly phone calls are able to promote overall and/or leisure physical activity levels and fitness in an urban population of Romania. Material: Sixty-five adult subjects (30 males and 35 females) were randomly selected and followed over the 8-month study period. Total physical activity and changes in body mass and body mass index (kg/m 2) were recorded on a monthly basis. Fitness level was assessed by the participants themselves using three standardized motor tests: push-up test, 1-minute sit-up test and 3-minute step test. Results: The intervention resulted in an increase of physical activity level by approximately 70% in males and females aged 25-39 years. In those aged 40-49 years physical activity levels were enhanced by 77% in males and 18% in females. These changes were associated with improvements (25-31%; p < 0.01) in fitness levels. Changes in physical activity over the 8-month intervention period were negatively correlated with body mass index (r =-0.721, p < 0.01). Conclusions: This study demonstrates that motivation by regular phone calls was highly effective in increasing leisure sports activities and improving fitness levels in young and middle-aged adults of both sexes.

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Effectiveness of Interventions for Promoting Objectively Measured Physical Activity of Adults With Type 2 Diabetes: A Systematic Review

Abstract: Our systematic review of the literature indicated that a variety of interventions approaches were effective in increasing PA temporarily during the intervention period. Interventions that use objective methods in measuring PA and have long term improvement in overall PA are needed.

Cited by 28 publications

References 0 publications

Effectiveness of healthcare interventions using objective feedback on physical activity: A systematic review and meta-analysis

Effectiveness of healthcare interventions using objective feedback on physical activity: A systematic review and meta-analysis

Process Evaluation of the Sophia Step Study-A Primary Care Based Three-Armed Randomized Controlled Trial Using Self-Monitoring of Steps With and Without Counseling in Prediabetes and Type 2 Diabetes

The effects of weekly motivational phone calls on the amount of leisure sports activities and changes in physical fitness

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