scholarly journals Are physical activity interventions for healthy inactive adults effective in promoting behavior change and maintenance, and which behavior change techniques are effective? A systematic review and meta-analysis

2018 ◽  
Vol 9 (1) ◽  
pp. 147-157 ◽  
Author(s):  
Neil Howlett ◽  
Daksha Trivedi ◽  
Nicholas A Troop ◽  
Angel Marie Chater
2019 ◽  
Vol 27 (5) ◽  
pp. 746-754 ◽  
Author(s):  
Valerie Senkowski ◽  
Clara Gannon ◽  
Paul Branscum

Physical activity interventions among older adults vary widely in the techniques used to elicit behavior change. The purpose of this systematic review was to determine what behavior change techniques (BCTs) are used in interventions to increase physical activity among older adults using the theory of planned behavior and to make suggestions for BCTs that appear to be more effective. A database search identified peer-reviewed articles documenting interventions based on the theory of planned behavior. Seven articles (three randomized controlled trial, three quasi-experimental, and onen-of-1) from four countries (the United States, the United Kingdom, Australia, and the Netherlands) were included for review. Researchers independently coded BCTs using a hierarchical taxonomy of 93 BCTs. The most frequently coded BCTs includedGoal Setting(n = 5 studies),Action Planning(n = 5 studies), andCredible Source(n = 5 studies). Of the 93 BCTs in the taxonomy, only 26 were used, indicating potential opportunities to implement and evaluate less commonly used techniques in future studies.


2018 ◽  
Author(s):  
Lisa V. Eckerstorfer ◽  
Norbert K. Tanzer ◽  
Claudia Vogrincic-Haselbacher ◽  
Gayannee Kedia ◽  
Hilmar Brohmer ◽  
...  

BACKGROUND Mobile technology gives researchers unimagined opportunities to design new interventions to increase physical activity. Unfortunately, it is still unclear which elements are useful to initiate and maintain behavior change. OBJECTIVE In this meta-analysis, we investigated randomized controlled trials of physical activity interventions that were delivered via mobile phone. We analyzed which elements contributed to intervention success. METHODS After searching four databases and science networks for eligible studies, we entered 50 studies with N=5997 participants into a random-effects meta-analysis, controlling for baseline group differences. We also calculated meta-regressions with the most frequently used behavior change techniques (behavioral goals, general information, self-monitoring, information on where and when, and instructions on how to) as moderators. RESULTS We found a small overall effect of the Hedges g=0.29, (95% CI 0.20 to 0.37) which reduced to g=0.22 after correcting for publication bias. In the moderator analyses, behavioral goals and self-monitoring each led to more intervention success. Interventions that used neither behavioral goals nor self-monitoring had a negligible effect of g=0.01, whereas utilizing either technique increased effectiveness by Δg=0.31, but combining them did not provide additional benefits (Δg=0.36). CONCLUSIONS Overall, mHealth interventions to increase physical activity have a small to moderate effect. However, including behavioral goals or self-monitoring can lead to greater intervention success. More research is needed to look at more behavior change techniques and their interactions. Reporting interventions in trial registrations and articles need to be structured and thorough to gain accurate insights. This can be achieved by basing the design or reporting of interventions on taxonomies of behavior change.


2018 ◽  
Vol 53 (9) ◽  
pp. 801-815 ◽  
Author(s):  
Mei Yee Tang ◽  
Debbie M Smith ◽  
Jennifer Mc Sharry ◽  
Mark Hann ◽  
David P French

Abstract Background Self-efficacy is an important determinant of physical activity but it is unclear how best to increase self-efficacy for physical activity and to maintain these changes. Purpose This systematic review aimed to identify which specific behavior change techniques (BCTs), BCT clusters, and number of BCTs were associated with changes in postintervention and maintained changes in self-efficacy for physical activity across all adult populations. Methods A systematic search yielded 180 randomized trials (204 comparisons) which reported changes in self-efficacy. BCTs were coded using the BCT Taxonomy v1. Hierarchical cluster analysis explored the clustering of BCTs. Meta-analyses and moderator analyses examined whether the presence and absence of individual BCTs in interventions were associated with effect-size changes for self-efficacy. Results Small intervention effects were found for postintervention self-efficacy for physical activity (d = 0.26; 95% CI: [0.21, 0.31]; I2 = 75.8 per cent). “Information about social, environmental, and emotional consequences” was associated with higher effect sizes, whereas “social support (practical)” was associated with lower effect sizes. Small and nonsignificant effects were found for maintained changes in self-efficacy for physical activity (d = 0.08; CI: [−0.05, 0.21]; I2 = 83.8 per cent). Lack of meaningful clustering of BCTs was found. A significant positive relationship was found between number of BCTs and effect sizes for maintained changes in self-efficacy for physical activity. Conclusions There does not appear to be a single effective approach to change self-efficacy for physical activity in all adults: different approaches are required for different populations. Interventions with more BCTs seem more effective at maintaining changes in self-efficacy for physical activity.


2021 ◽  
Author(s):  
Christopher D. Pfledderer ◽  
Ryan D. Burns ◽  
Wonwoo Byun ◽  
Russell L. Carson ◽  
Gregory J. Welk ◽  
...  

Author(s):  
Rubina Mulchandani ◽  
Ambalam M. Chandrasekaran ◽  
Roopa Shivashankar ◽  
Dimple Kondal ◽  
Anurag Agrawal ◽  
...  

Abstract Background Adults in urban areas spend almost 77% of their waking time being inactive at workplaces, which leaves little time for physical activity. The aim of this systematic review and meta-analysis was to synthesize evidence for the effect of workplace physical activity interventions on the cardio-metabolic health markers (body weight, waist circumference, body mass index (BMI), blood pressure, lipids and blood glucose) among working adults. Methods All experimental studies up to March 2018, reporting cardio-metabolic worksite intervention outcomes among adult employees were identified from PUBMED, EMBASE, COCHRANE CENTRAL, CINAHL and PsycINFO. The Cochrane Risk of Bias tool was used to assess bias in studies. All studies were assessed qualitatively and meta-analysis was done where possible. Forest plots were generated for pooled estimates of each study outcome. Results A total of 33 studies met the eligibility criteria and 24 were included in the meta-analysis. Multi-component workplace interventions significantly reduced body weight (16 studies; mean diff: − 2.61 kg, 95% CI: − 3.89 to − 1.33) BMI (19 studies, mean diff: − 0.42 kg/m2, 95% CI: − 0.69 to − 0.15) and waist circumference (13 studies; mean diff: − 1.92 cm, 95% CI: − 3.25 to − 0.60). Reduction in blood pressure, lipids and blood glucose was not statistically significant. Conclusions Workplace interventions significantly reduced body weight, BMI and waist circumference. Non-significant results for biochemical markers could be due to them being secondary outcomes in most studies. Intervention acceptability and adherence, follow-up duration and exploring non-RCT designs are factors that need attention in future research. Prospero registration number: CRD42018094436.


Author(s):  
Stephanie L. Silveira ◽  
Trinh Huynh ◽  
Ariel Kidwell ◽  
Dena Sadeghi-Bahmani ◽  
Robert W. Motl

Diabetes Care ◽  
2017 ◽  
Vol 40 (12) ◽  
pp. 1800-1810 ◽  
Author(s):  
Kevin A. Cradock ◽  
Gearóid ÓLaighin ◽  
Francis M. Finucane ◽  
Rhyann McKay ◽  
Leo R. Quinlan ◽  
...  

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