scholarly journals The influence of social networking sites on health behavior change: a systematic review and meta-analysis

2014 ◽  
Vol 22 (1) ◽  
pp. 243-256 ◽  
Author(s):  
Liliana Laranjo ◽  
Amaël Arguel ◽  
Ana L Neves ◽  
Aideen M Gallagher ◽  
Ruth Kaplan ◽  
...  
Keyword(s):  
Health Behavior ◽  
Behavior Change ◽  
Social Networking ◽  
Social Networking Sites ◽  
Meta Analysis ◽  
Health Behavior Change ◽  
Randomized Controlled ◽  
Health Related Behaviors ◽  
Health Related ◽  
Positive Effect

Abstract Objective Our aim was to evaluate the use and effectiveness of interventions using social networking sites (SNSs) to change health behaviors. Materials and methods Five databases were scanned using a predefined search strategy. Studies were included if they focused on patients/consumers, involved an SNS intervention, had an outcome related to health behavior change, and were prospective. Studies were screened by independent investigators, and assessed using Cochrane's ‘risk of bias’ tool. Randomized controlled trials were pooled in a meta-analysis. Results The database search retrieved 4656 citations; 12 studies (7411 participants) met the inclusion criteria. Facebook was the most utilized SNS, followed by health-specific SNSs, and Twitter. Eight randomized controlled trials were combined in a meta-analysis. A positive effect of SNS interventions on health behavior outcomes was found (Hedges’ g 0.24; 95% CI 0.04 to 0.43). There was considerable heterogeneity (I2 = 84.0%; T2 = 0.058) and no evidence of publication bias. Discussion To the best of our knowledge, this is the first meta-analysis evaluating the effectiveness of SNS interventions in changing health-related behaviors. Most studies evaluated multi-component interventions, posing problems in isolating the specific effect of the SNS. Health behavior change theories were seldom mentioned in the included articles, but two particularly innovative studies used ‘network alteration’, showing a positive effect. Overall, SNS interventions appeared to be effective in promoting changes in health-related behaviors, and further research regarding the application of these promising tools is warranted. Conclusions Our study showed a positive effect of SNS interventions on health behavior-related outcomes, but there was considerable heterogeneity. Protocol registration The protocol for this systematic review is registered at http://www.crd.york.ac.uk/PROSPERO with the number CRD42013004140.

scholarly journals Self-guided Change: The most common form of long-term, maintained health behavior change

2018 ◽  
Vol 5 (1) ◽  
pp. 205510291775157 ◽  
Author(s):  
F Michler Bishop
Keyword(s):  
Weight Loss ◽  
Health Behavior ◽  
Behavior Change ◽  
Scoping Review ◽  
Health Behavior Change ◽  
Significant Cost ◽  
Health Related Behaviors ◽  
Health Related ◽  
The One

Millions of people change risky, health-related behaviors and maintain those changes. However, they often take years to change, and their unhealthy behaviors may harm themselves and others and constitute a significant cost to society. A review—similar in nature to a scoping review—was done of the literature related to long-term health behavior change in six areas: alcohol, cocaine and heroin misuse, gambling, smoking, and overeating. Based on the limited research available, reasons for change and strategies for changing and for maintaining change were also reviewed. Fifty years of research clearly indicate that as people age, in the case of alcohol, heroin and cocaine misuse, smoking, and gambling, 80–90 percent moderate or stop their unhealthy behaviors. The one exception is overeating; only 20 percent maintain their weight loss. Most of these changes, when they occur, appear to be the result of self-guided change. More ways to accelerate self-guided, health-related behavior change need to be developed and disseminated.

scholarly journals Preventive Health Behavior Change Text Message Interventions: A Meta-analysis

2017 ◽  
Vol 52 (3) ◽  
pp. 391-402 ◽  
Author(s):  
Ashleigh A. Armanasco ◽  
Yvette D. Miller ◽  
Brianna S. Fjeldsoe ◽  
Alison L. Marshall
Keyword(s):  
Health Behavior ◽  
Behavior Change ◽  
Meta Analysis ◽  
Text Message ◽  
Health Behavior Change ◽  
Preventive Health ◽  
Preventive Health Behavior

scholarly journals Effects of eHealth-Based Multiple Health Behavior Change Interventions on Physical Activity, Healthy Diet, and Weight in People With Noncommunicable Diseases: Systematic Review and Meta-analysis

10.2196/23786 ◽  
2021 ◽  
Vol 23 (2) ◽  
pp. e23786
Author(s):  
Yanping Duan ◽  
Borui Shang ◽  
Wei Liang ◽  
Gaohui Du ◽  
Min Yang ◽  
...  
Keyword(s):  
Physical Activity ◽  
Health Behavior ◽  
Behavior Change ◽  
Meta Analysis ◽  
Health Behavior Change ◽  
Healthy Diet ◽  
Noncommunicable Diseases ◽  
Healthy Weight ◽  
Multiple Health Behavior Change ◽  
Multiple Health

Background Noncommunicable diseases (NCDs) are associated with the burden of premature deaths and huge medical costs globally. There is an increasing number of studies combining a multiple health behavior change (MHBC) intervention paradigm with eHealth approaches to jointly promote weight-related health behaviors among people with NCD; yet, a comprehensive summary of these studies is lacking. Objective This review aims to meta-analyze the effectiveness and systematically summarize the characteristics of the relevant intervention studies for improving the outcomes of physical activity, healthy diet, and weight among people with NCD. Methods Following PRISMA guidelines, 4 electronic databases (PsycINFO, PubMed, Scopus, SPORTDiscus) were systematically searched to identify eligible articles based on a series of inclusion and exclusion criteria. Article selection, quality assessment, and data extraction were independently performed by 2 authors. The standardized mean difference (SMD) was calculated to evaluate the effectiveness of interventions for 3 intervention outcomes (physical activity, healthy diet, and weight), and subsequent subgroup analyses were performed for gender, age, intervention duration, channel, and theory. Calculations were conducted, and figures were produced in SPSS 22 and Review Manager 5.3. Results Of the 664 original hits generated by the systematic searches, 15 eligible studies with moderate to high quality were included. No potential publication bias was detected using statistical analyses. Studies varied in intervention channel, intensity, and content. The meta-analysis revealed that the eHealth MHBC interventions significantly promoted physical activity (SMD 0.85, 95% CI 0.23 to 1.47, P=.008) and healthy diet (SMD 0.78, 95% CI 0.13 to 1.43, P=.02), but did not contribute to a healthy weight status (SMD –0.13, 95% CI= –0.47 to 0.20, P=.43) among people with NCDs, compared to the control conditions. Results from subgroup analysis indicated that theory-based interventions achieved greater effect than nontheory-based interventions in promoting physical activity, and interventions with traditional approaches (SMS, telephone) were more effective than those with modern internet-based approaches in promoting healthy diet. Conclusions The results of this review indicates that eHealth MHBC interventions achieve preliminary success in promoting physical activity and healthy diet behaviors among people with NCD. Future studies could improve the intervention design to achieve better intervention effectiveness. Trial Registration PROSPERO International Prospective Register of Systematic Reviews CRD42019118629; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=118629

scholarly journals Surviving and Thriving With Cancer Using a Web-Based Health Behavior Change Intervention: Randomized Controlled Trial

2014 ◽  
Vol 16 (2) ◽  
pp. e54 ◽  
Author(s):  
Erin O'Carroll Bantum ◽  
Cheryl L Albright ◽  
Kami K White ◽  
Jeffrey L Berenberg ◽  
Gabriela Layi ◽  
...  
Keyword(s):  
Randomized Controlled Trial ◽  
Health Behavior ◽  
Behavior Change ◽  
Controlled Trial ◽  
Health Behavior Change ◽  
Web Based ◽  
Behavior Change Intervention ◽  
Randomized Controlled
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