Computer-delivered interventions for reducing alcohol consumption: meta-analysis and meta-regression using behaviour change techniques and theory

Weight gain prevention interventions are likely to be more effective with the inclusion of behaviour change techniques. However, evidence on which behaviour change techniques (BCT) are most effective for preventing weight gain and improving lifestyle (diet and physical activity) is limited, especially in reproductive-aged adults. This meta-analysis and meta-regression aimed to identify BCT associated with changes in weight, energy intake and physical activity in reproductive-aged adults. BCT were identified using the BCT Taxonomy (v1) from each intervention. Meta-regression analyses were used to identify BCT associated with change in weight, energy intake and physical activity. Thirty-four articles were included with twenty-nine articles for the meta-analysis. Forty-three of the ninety-three possible BCT listed in the taxonomy were identified in the included studies. Feedback on behaviour and Graded tasks were significantly associated with less weight gain, and Review behaviour goals was significantly associated with lower energy intake. No individual BCT were significantly associated with physical activity. Our analysis provides further evidence for which BCT are most effective in weight gain prevention interventions. The findings support that the use of key BCT within interventions can contribute to successful weight gain prevention in adults of reproductive age.

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Behaviour change techniques used in digital interventions to reduce excessive alcohol consumption

Frontiers in Public Health ◽

10.3389/conf.fpubh.2016.01.00063 ◽

2016 ◽

Vol 4 ◽

Author(s):

Crane David ◽

Brown Jamie ◽

Garnett Claire ◽

Kaner Eileen ◽

Beyer Fiona ◽

...

Keyword(s):

Alcohol Consumption ◽

Behaviour Change ◽

Behaviour Change Techniques ◽

Excessive Alcohol Consumption ◽

Digital Interventions ◽

Excessive Alcohol

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Interactive voice response interventions targeting behaviour change: a systematic literature review with meta-analysis and meta-regression

BMJ Open ◽

10.1136/bmjopen-2017-018974 ◽

2018 ◽

Vol 8 (2) ◽

pp. e018974 ◽

Cited By ~ 11

Author(s):

Stergiani Tsoli ◽

Stephen Sutton ◽

Aikaterini Kassavou

Keyword(s):

Physical Activity ◽

Medication Adherence ◽

Literature Review ◽

Behaviour Change ◽

Effect Size ◽

Interactive Voice Response ◽

Meta Analysis ◽

Health Behaviours ◽

Meta Regression ◽

Specific Health

ObjectiveA number of promising automated behaviour change interventions have been developed using advanced phone technology. This paper reviewed the effectiveness of interactive voice response (IVR)-based interventions designed to promote changes in specific health behaviours.MethodsA systematic literature review of papers published between January 1990 and September 2017 in MEDLINE, CINAHL, Embase, PsycINFO, SCOPUS and the Cochrane Central Register of Controlled Trials (CENTRAL) was conducted. From the total of 2546 papers identified, 15 randomised control trials (RCTs) met the eligibility criteria and were included in a random effects meta-analysis. Meta-regression analysis was used to explore whether behaviour change techniques (BCTs) that were used in the interventions were associated with intervention effectiveness.ResultsMeta-analysis of 15 RCTs showed that IVR-based interventions had small but significant effects on promoting medication adherence (OR=1.527, 95% CI 1.207 to 1.932, k=9, p=0.000) and physical activity (Hedges’ g=0.254, 95% CI 0.068 to 0.439, k=3, p=0.007). No effects were found for alcohol (Hedges’ g=−0.077, 95% CI −0.162 to 0.007, k=4, p=0.073) or diet (Hedges’ g=0.130, 95% CI −0.088 to 0.347, k=2, p=0.242). In the medication adherence studies, multivariable meta-regression including six BCTs explained 100% of the observed variance in effect size, but only the BCT ‘information about health consequences’ was significantly associated with effect size (β=0.690, SE=0.199, 95% CI 0.29 to 1.08, p=0.000).ConclusionIVR-based interventions appear promising in changing specific health behaviours, such as medication adherence and physical activity. However, more studies are needed to elucidate further the combination of active components of IVR interventions that make them effective and test their feasibility and effectiveness using robust designs and objective outcome measures.

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