Interventions to Promote Healthy Eating, Physical Activity and Smoking in Low-Income Groups: a Systematic Review with Meta-Analysis of Behavior Change Techniques and Delivery/Context

Context: Hepatitis B serology is very important for both diagnosis and treatment of the diseases. However, evidence regarding the association between income and hepatitis B seroprevalence are not sufficient to make a definitive conclusion. Objectives: This meta-analysis aimed to investigate the association between income inequality and hepatitis B seroprevalence. Methods: We searched PubMed and Web of Science databases to identify all relevant epidemiological studies published up to February 10, 2020. A categorical meta-analysis was applied to pool risk effects of income on hepatitis B seroprevalence. Results: A total of 1525 pieces of literature related to income level and hepatitis B seroprevalence were retrieved, of which 10 articles were finally included. The results revealed a borderline risk (OR: 1.14, 95%CI: 1.00 - 1.30) for hepatitis B seroprevalence (positive for one or more seromarkers) among low-income groups. A significant income effect was observed for HBsAg seroprevalence with a 28% higher risk for low income versus high cases (OR: 1.28, 95%CI: 1.16 - 1.41). However, no statistically significant associations were found between seroprevalence of Anti-HBs, Anti-HBc, and income. Conclusions: This study demonstrated that low income may increase the risk of hepatitis B seroprevalence, especially for HBsAg seroprevalence. Programs on hepatitis B prevention should focus on those with low income. Further studies are warranted to establish causality.

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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

Translational Behavioral Medicine ◽

10.1093/tbm/iby010 ◽

2018 ◽

Vol 9 (1) ◽

pp. 147-157 ◽

Cited By ~ 54

Author(s):

Neil Howlett ◽

Daksha Trivedi ◽

Nicholas A Troop ◽

Angel Marie Chater

Keyword(s):

Physical Activity ◽

Systematic Review ◽

Behavior Change ◽

Meta Analysis ◽

Behavior Change Techniques ◽

Physical Activity Interventions

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Behavior change techniques for increasing physical activity in cancer survivors: a systematic review and meta-analysis of randomized controlled trials

Cancer Management and Research ◽

10.2147/cmar.s170064 ◽

2018 ◽

Vol Volume 10 ◽

pp. 5125-5143 ◽

Cited By ~ 13

Author(s):

Emily Finne ◽

Melanie Glausch ◽

Anne-Kathrin Exner ◽

Odile Sauzet ◽

Friederike Stölzel ◽

...

Keyword(s):

Physical Activity ◽

Systematic Review ◽

Behavior Change ◽

Cancer Survivors ◽

Randomized Controlled Trials ◽

Meta Analysis ◽

Controlled Trials ◽

Behavior Change Techniques ◽

Randomized Controlled

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Behavior Change Techniques Associated With Changes in Postintervention and Maintained Changes in Self-Efficacy For Physical Activity: A Systematic Review With Meta-analysis

Annals of Behavioral Medicine ◽

10.1093/abm/kay090 ◽

2018 ◽

Vol 53 (9) ◽

pp. 801-815 ◽

Cited By ~ 10

Author(s):

Mei Yee Tang ◽

Debbie M Smith ◽

Jennifer Mc Sharry ◽

Mark Hann ◽

David P French

Keyword(s):

Physical Activity ◽

Systematic Review ◽

Behavior Change ◽

Self Efficacy ◽

Meta Analysis ◽

Hierarchical Cluster ◽

Effect Sizes ◽

Behavior Change Techniques ◽

Social Environmental ◽

Meta Analyses

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.

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mHealth Technologies to Influence Physical Activity and Sedentary Behaviors: Behavior Change Techniques, Systematic Review and Meta-Analysis of Randomized Controlled Trials

Annals of Behavioral Medicine ◽

10.1007/s12160-016-9846-0 ◽

2016 ◽

Vol 51 (2) ◽

pp. 226-239 ◽

Cited By ~ 106

Author(s):

Artur Direito ◽

Eliana Carraça ◽

Jonathan Rawstorn ◽

Robyn Whittaker ◽

Ralph Maddison

Keyword(s):

Physical Activity ◽

Systematic Review ◽

Behavior Change ◽

Randomized Controlled Trials ◽

Meta Analysis ◽

Controlled Trials ◽

Sedentary Behaviors ◽

Behavior Change Techniques ◽

Randomized Controlled

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Diet Behavior Change Techniques in Type 2 Diabetes: A Systematic Review and Meta-analysis

Diabetes Care ◽

10.2337/dc17-0462 ◽

2017 ◽

Vol 40 (12) ◽

pp. 1800-1810 ◽

Cited By ~ 23

Author(s):

Kevin A. Cradock ◽

Gearóid ÓLaighin ◽

Francis M. Finucane ◽

Rhyann McKay ◽

Leo R. Quinlan ◽

...

Keyword(s):

Systematic Review ◽

Type 2 Diabetes ◽

Behavior Change ◽

Meta Analysis ◽

Behavior Change Techniques ◽

Diet Behavior

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Key facets to build up eHealth and mHealth interventions to enhance physical activity, sedentary behavior and nutrition in healthy subjects – An umbrella review

10.21203/rs.3.rs-39460/v2 ◽

2020 ◽

Author(s):

Janis Fiedler ◽

Tobias Eckert ◽

Kathrin Wunsch ◽

Alexander Woll

Keyword(s):

Physical Activity ◽

Behavior Change ◽

Sedentary Behavior ◽

Healthy Eating ◽

Social Contexts ◽

Just In Time ◽

Umbrella Review ◽

Behavior Change Techniques ◽

Adaptive Interventions ◽

The Impact

Abstract Background: Electronic (eHealth) and mobile (mHealth) health interventions can provide a large coverage, and are promising tools to change health behavior (i.e. physical activity, sedentary behavior and healthy eating). However, the determinants of intervention effectiveness in primary prevention has not been explored yet. Therefore, the objectives of this umbrella review were to evaluate intervention effectiveness, to explore the impact of pre-defined determinants of effectiveness (i.e. theoretical foundations, behavior change techniques, social contexts or just-in-time adaptive interventions), and to provide recommendations for future research and practice in the field of primary prevention delivered via e/mHealth technology.Methods: PubMed, Scopus, Web of Science and the Cochrane Library were searched for systematic reviews and meta-analyses (reviews) published between January 1990 and May 2020. Reviews reporting on e/mHealth behavior change interventions in physical activity, sedentary behavior and/or healthy eating for healthy subjects (i.e. subjects without physical or physiological morbidities which would influence the realization of behaviors targeted by the respective interventions) were included if they also investigated respective theoretical foundations, behavior change techniques, social contexts or just-in-time adaptive interventions. Included studies were ranked concerning their methodological quality and qualitatively synthesized.Results: The systematic search reveled eleven systematic reviews and meta-analyses of moderate quality. The majority of original research studies within the reviews found e/mHealth interventions to be effective, but the results showed a high heterogeneity concerning assessment methods and outcomes, making them difficult to compare. Whereas theoretical foundation and behavior change techniques were suggested to be potential positive determinants of effective interventions, the impact of social context remains unclear. None of the reviews included just-in-time adaptive interventions.Conclusion: Findings of this umbrella review support the use of e/mHealth to enhance physical activity and healthy eating and reduce sedentary behavior. The general lack of precise reporting and comparison of confounding variables in reviews and original research studies as well as the limited number of reviews for each health behavior constrains the generalization and interpretation of results. Further research is needed on study-level to investigate effects of versatile determinants of e/mHealth efficiency, using a theoretical foundation and additionally explore the impact of social contexts and more sophisticated approaches like just-in-time adaptive interventions.Trial registration: The protocol for this umbrella review was a priori registered with PROSPERO: CRD42020147902.

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