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- Bendtsen, Marcus, et al.
(författare)
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Text messaging interventions for reducing alcohol consumption among risky drinkers: systematic review and meta-analysis
- 2021
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Ingår i: Addiction. - : WILEY. - 0965-2140 .- 1360-0443. ; 116:5, s. 1021-1033
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Forskningsöversikt (refereegranskat)abstract
- Background and Aims The global growth of mobile phone use has led to new opportunities for health interventions, including through text messaging. We aimed to estimate the effects of text messaging interventions on alcohol consumption among risky drinkers. Methods Systematic review and meta-analysis of reports on randomized controlled trials (RCTs) published in English. Searches were conducted on 23 May 2019 in PubMed; PubMed Central; CENTRAL; CDSR; DARE; NHS-EED; Scopus; PsycINFO; PsycARTICLES; CINAHL; and Web of Science. Measurements included number of episodes of heavy drinking (HED) per month and weekly alcohol consumption (WAC) in grams. Trials among risky drinkers who were not receiving co-interventions were included in the review (n = 3481, mean age 29 years, 41% female). Data were extracted from reports and authors were contacted for additional data. Results Ten trials were included and all analyses were based on random-effects models. Primary analyses, including seven trials (n = 2528) for HED and five trials (n = 2236) for WAC, found that the interventions may reduce self-reported HED [-0.33 episodes per month; 95% confidence interval (CI) = -0.79, 0.12] and WAC (-18.62 g per week; 95% CI = -39.61, 2.38), although both estimates included the null. The Grading of Recommendations, Assessment, Development and Evaluations (GRADE) quality of evidence was judged to be low for both HED and WAC, primarily due to risk of attrition and performance bias, heterogeneity and influence of pilot trials on estimates. Conclusions Text messaging alcohol interventions may reduce alcohol consumption compared with no or basic health information; however, there are doubts about the overall quality of the evidence.
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| 2. |
- Åsberg, Katarina, et al.
(författare)
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Digital multiple health behaviour change intervention targeting online help seekers : protocol for the COACH randomised factorial trial
- 2022
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Ingår i: BMJ Open. - : BMJ Publishing Group. - 2044-6055. ; 12:7
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Tidskriftsartikel (refereegranskat)abstract
- Introduction Unhealthy lifestyle behaviours continue to be highly prevalent, including alcohol consumption, unhealthy diets, insufficient physical activity and smoking. There is a lack of effective interventions which have a large enough reach into the community to improve public health. Additionally, the common co-occurrence of multiple unhealthy behaviours demands investigation of efforts which address more than single behaviours. Methods and analysis The effects of six components of a novel digital multiple health behaviour change intervention on alcohol consumption, diet, physical activity and smoking (coprimary outcomes) will be estimated in a factorial randomised trial. The components are designed to facilitate behaviour change, for example, through goal setting or increasing motivation, and are either present or absent depending on allocation (ie, six factors with two levels each). The study population will be those seeking help online, recruited through search engines, social media and lifestyle-related websites. Included will be those who are at least 18 years of age and have at least one unhealthy behaviour. An adaptive design will be used to periodically make decisions to continue or stop recruitment, with simulations suggesting a final sample size between 1500 and 2500 participants. Multilevel regression models will be used to analyse behavioural outcomes collected at 2 months and 4 months postrandomisation. Ethics and dissemination Approved by the Swedish Ethical Review Authority on 2021-08-11 (Dnr 2021-02855). Since participation is likely motivated by gaining access to novel support, the main concern is demotivation and opportunity cost if the intervention is found to only exert small effects. Recruitment began on 19 October 2021, with an anticipated recruitment period of 12 months.
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| 3. |
- Åsberg, Katarina, et al.
(författare)
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Multiple lifestyle behaviour mHealth intervention targeting Swedish college and university students : protocol for the Buddy randomised factorial trial
- 2021
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Ingår i: BMJ Open. - : BMJ Publishing Group. - 2044-6055. ; 11:12
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Tidskriftsartikel (refereegranskat)abstract
- Introduction The time during which many attend college or university is an important period for developing health behaviours, with potentially major implications for future health. Therefore, it is concerning that many Swedish students excessively consume alcohol, have unhealthy diets, are not physical active and smoke. The potential of digital interventions which integrate support for change of all of these behaviours is largely unexplored, as are the dismantled effects of the individual components that make up digital lifestyle behaviour interventions. Methods and analysis A factorial randomised trial (six factors with two levels each) will be employed to estimate the effects of the components of a novel mHealth multiple lifestyle intervention on alcohol consumption, diet, physical activity and smoking among Swedish college and university students. A Bayesian group sequential design will be employed to periodically make decisions to continue or stop recruitment, with simulations suggesting that between 1500 and 2500 participants will be required. Multilevel regression models will be used to analyse behavioural outcomes collected at 2 and 4 months postrandomisation. Ethics and dissemination The study was approved by the Swedish Ethical Review Authority on 2020-12-15 (Dnr 2020-05496). The main concern is the opportunity cost if the intervention is found to only have small effects. However, considering the lack of a generally available evidence-based multiple lifestyle behaviour support to university and college students, this risk was deemed acceptable given the potential benefits from the study. Recruitment will begin in March 2021, and it is expected that recruitment will last no more than 24 months. A final data set will, therefore, be available in July 2023, and findings will be reported no later than December 2023.
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