Keywords
Diet*, Nutri* Technology, App, Mobile App, M-Health, E-Health, Health Technology, Mobile health, Technology and Health software.
Diet*, Nutri* Technology, App, Mobile App, M-Health, E-Health, Health Technology, Mobile health, Technology and Health software.
A healthy, varied, and balanced diet is integral in the promotion of health and wellbeing1. Research investigating the value of diet quality has indicated that improving diet quality shows a more significant reduction in chronic disease2. Much research has been conducted to determine methods to measure diet quality, which has led to the development of a number of indices. These indices allow for the evaluation of dietary patterns appraising the selection of specific foods, compliance with nutritional recommendations, and chronic disease risk. The use of diet quality indices has now become best practice in updating dietary recommendations aimed at reducing the risk of chronic disease by improving the nutritional profile of the individual3–5.
Mobile technology and our daily interactions with mobile applications are growing exponentially. Globally, it is believed there were at least 2700 million smartphone users in 2019 and about 1400 million tablet owners5. Consequently, integrating mobile technology into our daily habits has triggered changes in the way we live, work, communicate and connect socially5,6.
In the field of diet and nutrition, the availability and popularity of nutrition software applications for mobile devices have increased7. Specific applications on the Google Play Store reported 50 to 100 million installations of nutrition and physical activity-monitoring applications in April 20178. Dietary mobile applications offer many attractive features for those who use them; they are easy to access, usually low cost/free of charge and offer users various app-based support features including behavioural or social interactions8,9. The rise in smartphone users globally has led to the rise and development of information and communication technology-based health care for nutritional education to prevent and treat chronic disease10. Mobile health technology or mhealth is described as innovative information and communication technology and is the umbrella term for which all mobile health device and applications, which are used to provide health services using the capabilities of mobile technology (i.e., mobile phones) for reporting health information, monitoring clinical signs, and enabling direct supervision and instruction10–12. The use of mobile applications and mHealth technology can have positive implications for clinicians such as dietitians and registered nutritionists who examine data such as the nutritional quality of a patient's or client's diet using the data inputted into mobile applications12,13 to then give personalised nutritional advice or tailor dietary plans to meet the specific needs of the individual. Indeed some applications have a live input option and can offer a practical alternative to food frequency questionnaires; therefore, the data from such applications has been shown to be more reliable and user-friendly compared to 24-hour recalls14,15. The applications have also been shown to positively impact users' behaviours, which was defined as 'any activity undertaken to prevent or detect disease or improve the user's health and well-being16.
Mobile technology-assisted dietary assessment currently exists to collect dietary data and allows for real-time recording of food intake. The recording of diet with mobile technology offers a unique opportunity to capture information that is not being recorded using traditional methods, such as the quality of food being consumed17. It has been reported that user satisfaction was high for dietary assessment applications, with the majority of participants preferring mobile phone dietary assessment methods to conventional methods as they provide real‐time feedback on energy and nutrient intake18–20. These applications are likely to evolve and develop further in the future; with healthcare, linking to devices with biological information21.
mHealth and mobile devices provide a unique vehicle for collecting dietary information22. Furthermore, mobile devices and applications have been reported to improve patient and client health with noticeable improvement in diet and dietary behaviour22,23. Such applications benefit behaviour by offering an 'early warning system' to allow individuals self-monitor their diet daily. Weight loss has been one of the highlighted outcomes from using mobile applications in a health care setting22,23. Indeed, mobile applications are also used to treat certain medical conditions by allowing patients track their diet and measure specific health outcomes. Conditions such as diabetes, epilepsy and chronic disease in the elderly can be effectively managed using mobile applications23–25. While there is a variety of research available which highlights the benefits of mobile applications to improve diet related and patient outcomes, none to date have examined the impact of mobile applications on the quality of food consumed.
This systematic literature review aims to explore if using mobile applications improves diet quality. Specific objectives include:
1. To synthesise and collate the current evidence base in the area of diet and mobile technology.
2. To explore the effects of mobile applications on diet quality changes.
3. To investigate associations between the use of mobile applications and dietary outcomes specifically changes in (a) diet quality and, (b) weight status.
This protocol has been prepared following the Preferred Reporting Items for Systematic review and Meta-Analysis Protocols (PRISMA-P) guidelines as shown in the PRISMA-P checklist (see Reporting guidelines)26. The protocol has been registered with the international prospective register of systematic reviews (PROSPERO) database for registration CRD42021240224 (01/03/2021).
Types of studies.For the purpose of this systematic review, we will include all Randomized Controlled Trials (RCTs), Non-randomized studies: non-randomized controlled trials, interrupted time series, controlled before-and-after studies, and cohort studies.
Only peer-reviewed publications in the English language will be eligible for inclusion with restrictions on publication year from January 2010 to November 2021 to be applied. Studies that are unpublished (e.g., conference abstracts, trial protocols, surveys) or animal studies will be excluded from this systematic review.
The systematic review will include studies with healthy participants and participants with diagnosed/undiagnosed health conditions aged 18 years and older.
We will include studies comparing the effects of mobile applications on dietary intakes. Studies comparing more than one dietary intervention will also be included.
The study is interested in both clinician and patient-reported outcome measures, assessed by either subjective or objective indices (e.g., a reported improvement in diet quality, weight loss, improved HbA1C, improved BMI). The primary outcomes of interest are the effects of using mobile applications on diet quality.
The search will be conducted in the following databases Cinahl, APA Psycinfo, and PubMed. The title and abstracts collected from electronic databases will be exported to Clarvate EndNote software to store and remove duplicates. After this process is completed, the title and abstracts will be exported to Rayyan software for title and abstract screening. Two independent reviewers (AS, JR) will assess the articles compiled by the searches against the inclusion and exclusion criteria. Any disagreement over eligibility will be resolved through discussion with a third reviewer (AT).
Limits will be applied to the publication year from 2010–2020. Articles will be first excluded based on title and abstract against inclusion and exclusion criteria. Full text of studies that appear eligible based on their abstracts will be obtained, read, and evaluated by two independent reviewers (AS, JR). Conference reports and abstracts will be excluded.
Two reviewers (AS, JR) will extract data from the included studies. Information extracted will be based on a piloted data extraction tool, which will be developed based on the literature from The Oxford Implementation Index27. In the event that clarification or additional information is required, every attempt will be made to contact the authors to collect the missing data.
Two research team members (AS, JR) will independently assess included studies using the Cochrane risk of bias tool. To make judgments of the methodological quality of the included RCTs, the researchers (AS, JR) will use the Cochrane risk-of-bias assessment handbook and guidelines to support the use of the risk of bias assessment tool28. The risk of bias tool is used to evaluate the random sequence generation, allocation concealment, the blinding of participants and personnel, blinding of outcome assessment, incomplete outcome data addressed, selective reporting, and other biases. The risk of bias for each outcome across selected studies will be classified into low, high or unclear risk of bias and then summarized in a visual table. Two reviewers (AS, JR) will independently evaluate the risk bias of included articles. A third reviewer (AT) will resolve differences if needed.
It is expected that the nature of this review will be largely be a descriptive synthesis; we are interested in the effects of the use of mobile applications on diet quality. Data from published studies will be collated and summarised. The difference in outcome measures between groups and change between groups will be reported, depending on the analysis reported for individual studies. It is anticipated that there will be a limited ability to conduct a meta-analysis for this review due to the heterogeneity of the research and the potential differences in the measurement of outcomes and how populations are selected.
The planned, systematic review may include non-randomized trials, which may have a higher risk of bias and may yield evidence of low certainty. Different mobile applications researched will have the potential to perform better with different individuals. All papers will be in English only, and this is another limitation of the proposed paper.
This systematic review involves secondary analysis of currently existing data and will not need ethical approval. The results of this research will be submitted for peer-reviewed publication in an open-access academic journal and presented at relevant conferences.
All changes will be reported to PROSPERO should the protocol be amended.
The study is currently ongoing. The expected end date for the study is March 2022.
The proposed systematic review will examine existing evidence to highlight the effects of using mobile applications on diet quality. Results from this systematic review may inform and facilitate the use of mobile health dietary based technology for both individuals and clinicians who wish to use technology to show an improvement in their diet quality and assess against other health based outcome measures of interest.
Open Science Framework: Does the use of mobile applications or mobile health technology improve diet quality in adults?-protocol for a Systematic Literature Review., https://doi.org/10.17605/OSF.IO/58VEW.
This project contains the following extended data:
Open Science Framework: PRISMA-P checklist for Does the use of mobile applications or mobile health technology improve diet quality in adults?-protocol for a Systematic Literature Review., https://doi.org/10.17605/OSF.IO/58VEW.
Data are available under the terms of the Creative Commons Attribution 4.0 International license (CC-BY 4.0).
Is the rationale for, and objectives of, the study clearly described?
Partly
Is the study design appropriate for the research question?
Partly
Are sufficient details of the methods provided to allow replication by others?
Yes
Are the datasets clearly presented in a useable and accessible format?
Not applicable
References
1. König LM, Van Emmenis M, Nurmi J, Kassavou A, et al.: Characteristics of smartphone-based dietary assessment tools: a systematic review.Health Psychol Rev. 2022; 16 (4): 526-550 PubMed Abstract | Publisher Full TextCompeting Interests: No competing interests were disclosed.
Reviewer Expertise: Health psychology, mHealth, eating behaviour
Is the rationale for, and objectives of, the study clearly described?
Partly
Is the study design appropriate for the research question?
Partly
Are sufficient details of the methods provided to allow replication by others?
Partly
Are the datasets clearly presented in a useable and accessible format?
Not applicable
Competing Interests: No competing interests were disclosed.
Reviewer Expertise: Dietetics, dietary behaviours, mobile health technology in childhood obesity and adolescence, food environments, obesity, malnutrition
Alongside their report, reviewers assign a status to the article:
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