Digital exercise interventions for improving measures of central obesity: a systematic review

Ballin, Marcel; Hult, Andreas; Björk, Sabine; Dinsmore, John; Nordström, Anna

doi:10.1007/s00038-020-01385-4

Cited by 11 publications

(15 citation statements)

References 68 publications

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“…Another review reporting on the use of mobile applications in order to improve nutritional behavior showed the feasibility of such interventions [ 55 ]. It appears that the effectiveness of a digital intervention depends strongly on the behavior targeted and the type of technology applied [ 56 , 57 , 58 , 59 ].…”

Section: Discussionmentioning

confidence: 99%

The Use of Fitness Influencers’ Websites by Young Adult Women: A Cross-Sectional Study

Duplaga

2020

IJERPH

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The growth of the fitness industry observed in the last decade has been accompanied by the emergence of an occupation as a social media fitness influencer. The most popular are able to accumulate millions of followers. The marketing potential of fitness influencers is a subject of interest, not only for the fitness industry but also for other sectors offering products related to health, wellness, or healthy nutrition. However, the activities of fitness influencers related to the promotion of physical activity and healthy lifestyle converge with the aims of those promoting public health. The main objective of this study was to make an assessment of the determinants of regular access to fitness influencers’ sites (FIS) and their relationship with the health behaviors of young adult women. It was based on the data originating from an online survey on a representative sample of Polish women aged 18–35 years. Chi2 test, univariate, and multiply logistic regression models were used to determine the relationships between FIS and the variables related to the respondents’ characteristics of and their health behaviors. FIS were accessed by 29.3% of respondents (n = 1030) at least once a week. It was found that those living in cities with a population ranging from 20,000 to 100,000 were more likely to access FIS than those living in rural areas. Similarly, greater access was made by those in a high-income household rather than those with the lowest income, by those with inadequate rather than those with problematic health literacy and by those with high rather than low e-health literacy. The use of FIS was significantly associated with the consumptions of fruit and vegetables (OR, 95%CI: 2.77, 2.01–3.82), physical activity (1.74, 1.27–2.38), breast self-examination (1.54, 1.11–2.13), and also with the greater use of e-cigarettes (1.63, 1.09–2.43) and increased consumption of alcohol (1.37, 1.01–1.88). In conclusion, as access to Internet resources run by fitness influencers was a prevailing predictor of young adult Polish women’s health behaviors, FIS may play a potentially important role in promoting a healthy lifestyle in this population. However, it should be remembered that there are complex patterns of associations with specific behaviors, e.g., the use of e-cigarettes or alcohol consumption.

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Section: Discussionmentioning

confidence: 99%

The Use of Fitness Influencers’ Websites by Young Adult Women: A Cross-Sectional Study

Duplaga

2020

IJERPH

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“…Factorial trial designs will facilitate quantification of the individual effect of eHealth interventions on PA and body weight. Given that data has demonstrated eHealth interventions reduce central obesity, research should assess the impact of eHealth interventions on ectopic fat depots in the liver, skeletal muscle and heart, given their pathophysiological link with T2D, non-alcoholic fatty liver disease (NAFLD) and cardiovascular disease (CVD) [ 105 ]. Long-term data will allow determination of whether PA behaviour changes are sustained beyond 12 months with a dearth of evidence for their efficacy beyond this time point.…”

Section: Future Directionsmentioning

confidence: 99%

Exercise in Obesity—the Role of Technology in Health Services: Can This Approach Work?

et al. 2021

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Purpose of Review Physical activity (PA) is an important strategy to prevent and treat obesity. Electronic health (eHealth) interventions, such as wearable activity monitors and smartphone apps, may promote adherence to regular PA and successful weight loss. This review highlights the evidence for eHealth interventions in promoting PA and reducing weight. Recent Findings Wearables can increase PA and are associated with moderate weight loss in middle/older-aged individuals, with less convincing effects long-term (> 1 year) and in younger people. Data for interventions such as mobile phone applications, SMS, and exergaming are less robust. Investigations of all eHealth interventions are often limited by complex, multi-modality study designs, involving concomitant dietary modification, making the independent contribution of each eHealth intervention on body weight challenging to assess. Summary eHealth interventions may promote PA, thereby contributing to weight loss/weight maintenance; however, further evaluation is required for this approach to be adopted into routine clinical practice.

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“…The literature of weight management is extensive and findings on DBCIs for weight loss are promising (e.g., [13][14][15][16][17]). However, in the context of WLM, the few existing reviews have reported positive albeit often small effects of DBCIs with considerable between-study variability.…”

Section: Introductionmentioning

confidence: 99%

“…By components of behaviour change interventions, we are referring to: i) the intervention content i.e., the behaviour change techniques (BCT) that are implemented (e.g., goal setting), ii) the theoretical principles that contextualized the technique (e.g., selfefficacy), and iii) the way(s) through which the interventions are delivered (e.g., using an app). None of the systematic reviews of DBCIs targeting PA in WLM contexts [13][14][15][16][17][18][19][22][23][24] describe these components in detail (except for BCTs) and do not provide an overarching mapping of the links between the core components of the interventions. This knowledge may inform us about the current state of evidence and knowledge gaps.…”

Section: Introductionmentioning

confidence: 99%

What goes on in digital behaviour change interventions for weight loss maintenance targeting physical activity: A Scoping Review

Encantado¹,

Palmeira²,

Silva³

et al. 2021

Preprint

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Background: Behavioural interventions for weight loss maintenance have shown beneficial effects for weight loss maintenance. While the digital upgrade of behavioural interventions brings an enormous potential to tackle public health challenges, there is limited knowledge about the components of these interventions, i.e., its content, delivery and the theoretical approaches.Objective: To identify the core components of digital behaviour change interventions for weight loss maintenance targeting physical activity, in terms of: i) Behaviour Change Techniques; ii) Mechanisms of Action; iii) Modes of Delivery; iv) Dose; and v) Tailoring/Personalisation. In addition, the links between these components were investigated.Methods: A literature search was performed in 5 electronic databases: PubMed; Embase; CINHAL; PsycINFO, and Web of Science. Two reviewers independently screened the identified papers and extracted data related with the study characteristics and behaviour change techniques, mechanism of action, mode of delivery, dose, and tailoring, using standardized classifications whenever available (e.g., behaviour change techniques taxonomy). Results: Seventeen articles reporting eleven original studies were selected. Two studies were protocols, nine studies presented results for weight change and all but one showed no significant differences between the intervention and control groups. Eight studies (73%) provided adequate information on Behaviour Change Techniques. Five studies (45%) provided partial information about how the Behaviour Change Techniques were linked to mechanisms of action, and only one study (0.9%) described these links for all the techniques. Around half of the studies reported the modes through which behaviour change techniques were delivered. Descriptions of dose were present in most studies, but with minimal information. The use of tailoring or personalisation approaches was mentioned in eight studies (73%), but descriptions of what was tailored and how were minimal. Conclusions: The compilation of information regarding intervention components was difficult due to the lack of information and systematisation in reporting across papers. This is particularly true for the reporting of the links between behaviour change techniques and the other core intervention components. This information is crucial to help us understand in the context of behaviour change interventions what works or does not work, how it works and why.

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Digital exercise interventions for improving measures of central obesity: a systematic review

Cited by 11 publications

References 68 publications

The Use of Fitness Influencers’ Websites by Young Adult Women: A Cross-Sectional Study

The Use of Fitness Influencers’ Websites by Young Adult Women: A Cross-Sectional Study

Exercise in Obesity—the Role of Technology in Health Services: Can This Approach Work?

What goes on in digital behaviour change interventions for weight loss maintenance targeting physical activity: A Scoping Review

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