Graded activity with and without daily-monitored-walking in patients with type 2 diabetes with low back pain: secondary analysis of a randomized-clinical trial

Pedometer- and accelerometer- based physical activity interventions in Type 2 diabetes: A systematic review and meta-analysis

AIMS

Although accelerometer- and pedometer-based physical activity (PA) interventions can increase PA, there is no solid evidence for their benefits in patients with type 2 diabetes (T2DM). The aim of this systematic review and meta-analysis of randomized controlled clinical trials (RCTs) was to determine the effects of accelerometer- and pedometer-based PA interventions on hemoglobin A1c (HbA1c), fasting glucose, weight, BMI, blood pressure, lipids, and PA in adults with T2DM.

DATA SYNTHESIS

Records from MEDLINE/PubMed, EMBASE, LILACS, and Scopus were searched from inception through March 28th, 2022. RCTs of at least two weeks of duration evaluated the effectiveness of pedometers or accelerometers as motivating tools for increasing PA in T2DM patients. This study was registered with PROSPERO and followed the PRISMA reporting guide. Of the 7131 non-duplicated articles retrieved, 24 RCTs (1969 patients) were included. The mean baseline HbA1c of the experimental group of included studies varied from 6.3 ± 0.9 % to 9.0 ± 0.01 %. The accelerometer- and pedometer-based PA interventions resulted in a greater improvement in HbA1c (-0.22 %; 95%CI, -0.4 % to -0.05 %; I2 = 77 %) and triglycerides (-13.11 mg/dL; 95%CI, -25.21 to -1.02; I2 = 22 %) versus control participants. Pedometer ambulatory use as a motivating tool significantly increased PA by 2,131 steps/day (95 % CI, 1,348 to 2,914; I2 = 74 %) in T2DM patients.

CONCLUSIONS

Pedometers and accelerometers are associated with reductions in HbA1c and triglycerides when used as motivating tools. Larger and higher-quality studies are required to determine the full effects of PA as motivated by trackers in T2DM population.

Promoting Physical Activity in Older Adults With Type 2 Diabetes via an Anthropomorphic Conversational Agent: Development of an Evidence and Theory-Based Multi-Behavior Intervention

Introduction

Anthropomorphic conversational agents (ACA) are a promising digital tool to support self-management of type 2 diabetes (T2D), albeit little explored. There is a dearth of literature on the detailed content of these interventions, which may limit effectiveness and replication. Our aim is to describe the development of an evidence and theory-based intervention to improve physical activity in older adults with T2D, subsumed in a multi-behavior intervention via a mobile application with an ACA.

Methods

Overall decisions on the multi-behavior intervention design, such as the use of standardized behavior change techniques (BCTTv1), guided the development of the physical activity component. Firstly, recommendations on ambulatory activity were used to select the target behavior (walking). Meta-research on effective behavior change techniques (BCTs) was then identified. One meta-analysis linked effective BCTs with the three basic psychological needs of the self-determination theory (SDT). This meta-analysis, taken together with additional evidence on SDT, led to the selection of this theory to inform the design. BCTs were extracted from meta-research; we selected the most appropriate to be operationalized via the conversational agent through multidisciplinary discussions. Rules governing the dialogue flow and BCTs tailoring, taking the form "if some conditions hold then execute some action," were derived based on the Basic Psychological in Exercise Scale (competence, autonomy, and relatedness scores), in conjunction with published evidence and multidisciplinary discussions.

Results

Thirteen BCTs were implemented in the prototype via the ACA (e.g., goal setting behavior 1.1). Six if-then rules were derived and depicted in the dialogue steps through process flow diagrams, which map how the system functions. An example of a rule is "If competence score ≤ 10 then, apply BCT 1.1 with 500 steps increments as options for the daily walking goal; If competence score > 10 then, apply BCT 1.1 with 1,000 steps increments as options for the daily walking goal."

Conclusion

Evidence and SDT were translated into a mobile application prototype using an ACA to promote physical activity in older adults with T2D. This approach, which includes 13 BCTs and six if-then rules for their tailoring, may leverage the efforts of others in developing similar interventions.