scholarly journals The Long-Term Effectiveness of Internet-Based Interventions on Multiple Health Risk Behaviors: Systematic Review and Robust Variance Estimation Meta-analysis

10.2196/23513 ◽  
2021 ◽  
Vol 23 (12) ◽  
pp. e23513
Author(s):  
Flora Tzelepis ◽  
Aimee Mitchell ◽  
Louise Wilson ◽  
Emma Byrnes ◽  
Alexandra Haschek ◽  
...  

Background Smoking tobacco, poor nutrition, risky alcohol use, and physical inactivity (SNAP) behaviors tend to cluster together. Health benefits may be maximized if interventions targeted multiple health risk behaviors together rather than addressing single behaviors. The internet has wide reach and is a sustainable mode for delivery of interventions for multiple health behaviors. However, no systematic reviews have examined the long-term effectiveness of internet-based interventions on any combination of or all SNAP behaviors in adults aged 18 years or older. Objective This systematic review examined, among adults (aged ≥18 years), the effectiveness of internet-based interventions on SNAP behaviors collectively in the long term compared with a control condition. Methods The electronic databases Medline, PsycINFO, Embase, CINAHL, and Scopus were searched to retrieve studies describing the effectiveness of internet-based interventions on ≥2 SNAP behaviors published by November 18, 2019. The reference lists of retrieved articles were also checked to identify eligible publications. The inclusion criteria were randomized controlled trials or cluster randomized controlled trials with adults examining an internet-based intervention measuring the effect on ≥2 SNAP behaviors at least 6 months postrecruitment and published in English in a peer-reviewed journal. Two reviewers independently extracted data from included studies and assessed methodological quality using the Quality Assessment Tool for Quantitative Studies. A robust variance estimation meta-analysis was performed to examine the long-term effectiveness of internet-based interventions on all 4 SNAP risk behavior outcomes. All SNAP outcomes were coded so they were in the same direction, with higher scores equating to worse health risk behaviors. Results The inclusion criteria were met by 11 studies: 7 studies measured the effect of an internet-based intervention on nutrition and physical activity; 1 study measured the effect on smoking, nutrition, and physical activity; and 3 studies measured the effect on all SNAP behaviors. Compared with the control group, internet-based interventions achieved an overall significant improvement across all SNAP behaviors in the long term (standardized mean difference –0.12 [improvement as higher scores = worse health risk outcomes], 95% CI –0.19 to –0.05; I2=1.5%, P=.01). The global methodological quality rating was “moderate” for 1 study, while the remaining 10 studies were rated as “weak.” Conclusions Internet-based interventions were found to produce an overall significant improvement across all SNAP behaviors collectively in the long term. Internet-based interventions targeting multiple SNAP behaviors have the potential to maximize long-term improvements to preventive health outcomes.

2020 ◽  
Author(s):  
Flora Tzelepis ◽  
Aimee Mitchell ◽  
Louise Wilson ◽  
Emma Byrnes ◽  
Alexandra Haschek ◽  
...  

BACKGROUND Smoking tobacco, poor nutrition, risky alcohol use, and physical inactivity (SNAP) behaviors tend to cluster together. Health benefits may be maximized if interventions targeted multiple health risk behaviors together rather than addressing single behaviors. The internet has wide reach and is a sustainable mode for delivery of interventions for multiple health behaviors. However, no systematic reviews have examined the long-term effectiveness of internet-based interventions on any combination of or all SNAP behaviors in adults aged 18 years or older. OBJECTIVE This systematic review examined, among adults (aged ≥18 years), the effectiveness of internet-based interventions on SNAP behaviors collectively in the long term compared with a control condition. METHODS The electronic databases Medline, PsycINFO, Embase, CINAHL, and Scopus were searched to retrieve studies describing the effectiveness of internet-based interventions on ≥2 SNAP behaviors published by November 18, 2019. The reference lists of retrieved articles were also checked to identify eligible publications. The inclusion criteria were randomized controlled trials or cluster randomized controlled trials with adults examining an internet-based intervention measuring the effect on ≥2 SNAP behaviors at least 6 months postrecruitment and published in English in a peer-reviewed journal. Two reviewers independently extracted data from included studies and assessed methodological quality using the Quality Assessment Tool for Quantitative Studies. A robust variance estimation meta-analysis was performed to examine the long-term effectiveness of internet-based interventions on all 4 SNAP risk behavior outcomes. All SNAP outcomes were coded so they were in the same direction, with higher scores equating to worse health risk behaviors. RESULTS The inclusion criteria were met by 11 studies: 7 studies measured the effect of an internet-based intervention on nutrition and physical activity; 1 study measured the effect on smoking, nutrition, and physical activity; and 3 studies measured the effect on all SNAP behaviors. Compared with the control group, internet-based interventions achieved an overall significant improvement across all SNAP behaviors in the long term (standardized mean difference –0.12 [improvement as higher scores = worse health risk outcomes], 95% CI –0.19 to –0.05; I<sup>2</sup>=1.5%, <i>P</i>=.01). The global methodological quality rating was “moderate” for 1 study, while the remaining 10 studies were rated as “weak.” CONCLUSIONS Internet-based interventions were found to produce an overall significant improvement across all SNAP behaviors collectively in the long term. Internet-based interventions targeting multiple SNAP behaviors have the potential to maximize long-term improvements to preventive health outcomes.


2018 ◽  
Vol 11 ◽  
pp. 69-73
Author(s):  
Shannon K. Johnson ◽  
Kirk von Sternberg ◽  
Mary M. Velasquez

2019 ◽  
Vol 42 (3) ◽  
pp. e189-e198
Author(s):  
Xiaomin Luo ◽  
Yu Zhou ◽  
Ruimin Zheng ◽  
Xin Li ◽  
Yue Dai ◽  
...  

Abstract Background Depressive symptoms and anxiety symptoms of adolescents not only affect youth but also have wide-ranging impacts on the health of adults. The study was carried out to determine the epidemiological characteristics of depressive symptoms and anxiety symptoms and the associations between the two and health-risk behaviors in Chinese adolescents. Methods Participants were recruited from the junior and senior high schools in China. Data were collected by self-designed questionnaires. The questionnaires included questions about demographic characteristics, depressive symptom scales, anxiety symptom scales and nine categories of health-risk behaviors. Descriptive analysis and binary logistic regression were performed by SPSS 21.0 software. Results There were 4.4% of the participants with depressive symptoms. Approximately 32.0% of the participants had anxiety symptoms. Girls and general senior school students were risk factors for depressive symptoms and anxiety symptoms. Multiple health-risk behaviors were associated with depressive symptoms and anxiety symptoms in Chinese adolescents. Conclusion Depressive symptoms and anxiety symptoms were prevalent in Chinese adolescents. Their distribution was affected by certain health-risk behaviors. Multiple health-risk behaviors were associated with depressive symptoms and anxiety symptoms in Chinese adolescents.


Author(s):  
Kristin Thomas ◽  
Evalill Nilsson ◽  
Karin Festin ◽  
Pontus Henriksson ◽  
Mats Lowén ◽  
...  

Background: The health behaviors smoking, risky alcohol consumption, insufficient physical activity, and poor diet constitute the main contributors to non-communicable diseases. Clustering of risk behaviors is common and increases the risk of these diseases. Despite health benefits, it is difficult to change health behaviors. Psychosocial factors could play a role in health behavior change, with research showing relationships between unfavorable psychosocial factors and health risk behaviors. However, many studies only investigated one or two health behaviors at a time. The present study, therefore, aimed to investigate associations between a broad range of psychosocial factors and multiple health risk behaviors in a general middle-aged population in Sweden. Methods: A cross-sectional design was used to investigate a random sample from the general population in Sweden (n = 1007, 45–69 years, 50% women). Questionnaire data on health behaviors (smoking, alcohol consumption, physical activity, and fruit/vegetable intake) and psychosocial factors, with both psychological and social resources (social integration, emotional support, perceived control, self-esteem, sense of coherence and trust) and psychological risk factors (cynicism, vital exhaustion, hopelessness and depressiveness), were analyzed. Logistic and ordinal logistic regression were used to analyze associations between psychosocial factors and multiple (0–1, 2 or 3–4) health risk behaviors. Results: A total of 50% of the sample had two health risk behaviors and 18% had three health risk behaviors. After adjusting for age, sex, education, employment status, and immigrant status, eight out of 10 psychosocial factors (exceptions: social integration and self-esteem) showed significant odds ratios (ORs) in the expected directions; low levels of psychosocial resources and high levels of psychosocial risk factors were associated with multiple risk behaviors. The strongest associations with multiple risk behaviors were seen for vital exhaustion (adjusted (adj.) OR 1.28; confidence interval (CI) 1.11–1.46), depressiveness (adj. OR 1.32, CI 1.14–1.52), and trust (adj. OR 0.80, CI 0.70–0.91). When controlling for all psychosocial factors in the same model, only the association with trust remained statistically significant (adj. OR 0.89, CI 0.73–1.00, p = 0.050). Associations with individual health behaviors were fewer and scattered, with no psychosocial factor being related to all four behaviors. Conclusions: Examining associations between a broad range of psychosocial factors and multiple health risk behaviors revealed consistent and significant associations for almost all psychosocial factors. These associations were stronger compared to associations to single health risk behaviors. Our findings support the relevance of considering psychosocial aspects in interventions aimed at health behavior change, especially for people with multiple health risk behaviors.


2012 ◽  
Vol 15 (5) ◽  
pp. 276-286 ◽  
Author(s):  
James O. Prochaska ◽  
Kerry E. Evers ◽  
Patricia H. Castle ◽  
Janet L. Johnson ◽  
Janice M. Prochaska ◽  
...  

Risk Analysis ◽  
2019 ◽  
Vol 39 (8) ◽  
pp. 1771-1782 ◽  
Author(s):  
Lorena Charrier ◽  
Paola Berchialla ◽  
Paola Dalmasso ◽  
Alberto Borraccino ◽  
Patrizia Lemma ◽  
...  

2008 ◽  
Vol 46 (3) ◽  
pp. 189-195 ◽  
Author(s):  
Stefan Keller ◽  
Jason E. Maddock ◽  
Wolfgang Hannöver ◽  
J. René Thyrian ◽  
Heinz-Dieter Basler

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