Behavior Change Effectiveness Using Nutrition Apps in People With Chronic Diseases: Scoping Review

A Comprehensive Review of Behavior Change Techniques in Wearables and IoT: Implications for Health and Well-Being

This research paper delves into the effectiveness and impact of behavior change techniques fostered by information technologies, particularly wearables and Internet of Things (IoT) devices, within the realms of engineering and computer science. By conducting a comprehensive review of the relevant literature sourced from the Scopus database, this study aims to elucidate the mechanisms and strategies employed by these technologies to facilitate behavior change and their potential benefits to individuals and society. Through statistical measurements and related works, our work explores the trends over a span of two decades, from 2000 to 2023, to understand the evolving landscape of behavior change techniques in wearable and IoT technologies. A specific focus is placed on a case study examining the application of behavior change techniques (BCTs) for monitoring vital signs using wearables, underscoring the relevance and urgency of further investigation in this critical intersection of technology and human behavior. The findings shed light on the promising role of wearables and IoT devices for promoting positive behavior modifications and improving individuals' overall well-being and highlighting the need for continued research and development in this area to harness the full potential of technology for societal benefit.

Effects of Covid-19-related anxiety on overeating and weight gain in a diverse college sample

The outbreak of the Covid-19 pandemic has been linked with caloric overeating and weight gain. We employed a mediation analysis to determine whether pandemic-associated overeating was a direct effect of Covid-19-related anxiety (affect regulation theory) or mediated by a coping mechanism of escape eating (escape theory). A diverse pool of college students participated in a repeated cross-sectional study during three separate waves: May 2021 (wave 1, n = 349), December 2021 (wave 2, n = 253), and March 2022 (wave 3, n = 132). The results revealed a significant indirect effect of Covid-19-related anxiety on high-caloric overeating mediated by escape eating, but no direct path between Covid-19-related anxiety and caloric overeating. Analysis of racial/ethnic status uncovered significantly greater Covid-weight gain in Hispanic participants compared with White, Black, and Asian participants. Our results suggest that Covid-19 weight gain is a byproduct of a mediated escape mechanism differentially affecting racial/ethnic groups.

The use of internet-based smartphone apps consistently improved consumers' healthy eating behaviors: a systematic review of randomized controlled trials

Introduction

Digital tools, such as mobile apps and the Internet, are being increasingly used to promote healthy eating habits. However, there has been inconsistent reporting on the effectiveness of smartphones and web-based apps in influencing dietary behaviors. Moreover, previous reviews have been limited in scope, either by focusing on a specific population group or by being outdated. Therefore, the purpose of this review is to investigate the impacts of smartphone- and web-based dietary interventions on promoting healthy eating behaviors worldwide.

Methods

A systematic literature search of randomized controlled trials was conducted using databases such as Google Scholar, PubMed, Global Health, Informit, Web of Science, and CINAHL (EBSCO). The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines were followed to prepare the entire document. EndNote (version 20) was used for reference management. The risk of bias in the articles was assessed using the "Revised Cochrane Risk of Bias tool for randomized trials (RoB 2.0)" by the Cochrane Collaboration. Narrative synthesis, using text and tables, was used to present the results. The study was registered in PROSPERO under protocol number CRD42023464315.

Results

This review analyzed a total of 39 articles, which consisted of 25 smartphone-based apps and 14 web-based apps. The studies involved a total of 14,966 participants. Out of the 25 studies, 13 (52%) showed that offline-capable smartphone apps are successful in promoting healthier eating habits. The impact of smartphone apps on healthy adults has been inconsistently reported. However, studies have shown their effectiveness in chronically ill patients. Likewise, internet-based mobile apps, such as social media or nutrition-specific apps, have been found to effectively promote healthy eating behaviors. These findings were consistent across 14 studies, which included healthy adults, overweight or obese adults, chronically ill patients, and pregnant mothers.

Conclusion

Overall, the findings suggest that smartphone apps contribute to improving healthy eating behaviors. Both nutrition-specific and social media-based mobile apps consistently prove effective in promoting long-term healthy eating habits. Therefore, policymakers in the food system should consider harnessing the potential of internet-based mobile apps and social media platforms to foster sustainable healthy eating behaviors.

Determining the content and needs assessment a mobile-based self-care program in infertile men

BACKGROUND

Infertility is a public health problem in the world, using new technology, such as mobile phones, is increasing in the field of health. This study aimed to determine the Necessity of self-care training contents by performing a needs analysis among men with infertility problems to design a mobile phone-based application.

METHODS

Followed by reviewing the related literature, a questionnaire including 40 educational items and seven software features was designed in three general sections and distributed among 30 specialists in nutrition (n = 18) and infertility (n = 12). The validity of the questionnaire was confirmed by a panel of experts in nutrition, infertility, and medical informatics. The questionnaire's reliability was also corroborated by Cronbach's alpha of 86.4.

RESULTS

All items related to the software features and most items in the questionnaire were deemed necessary by participants. However, the items: "Occupation and history of chronic diseases" in the demographic information section and "Effects of infertility and food allergy" in the educational section were not confirmed.

CONCLUSION

The present findings could not only highlight the patients' roles in managing their disease but also increase the healthcare workers' awareness in designing the hospital information system.

The effectiveness of a WeChat-based self-assessment with a tailored feedback report on improving complementary feeding and movement behaviour of children aged 6-20 months in rural China: a cluster randomized controlled trial

Background

Appropriate infant feeding and movement behaviour (i.e. physical activity, sedentary behaviour, sleep) play an important role in children's healthy development during the first two years of life. The popular Chinese social media app 'WeChat' has become a potential data collection and health promotion tool. We aimed to evaluate the effectiveness of a WeChat-based self-assessment with a tailored feedback report on improving complementary feeding practices and movement behaviour of children aged 6-20 months in rural China.

Methods

We conducted a two-armed cluster randomized control trial in Datong County, Qinghai Province, China. There were 106 clusters from 257 villages allocated (1:1) to two groups: the feeding group, which received a complementary feeding recommendations feedback report; the movement behaviour group, which received movement behaviour recommendations feedback report. The feeding group acted as a control for the movement behaviour group and vice versa. Children aged 6-20 months and their primary caregivers were invited to be participants. WeChat was used to collect the data on outcomes and to deliver the interventions. Participants received the interventions by filling out the WeChat self-assessment questionnaire and reading tailored feedback reports at baseline, at the first 1-month follow-up and at the second 2-month follow-up. Outcome measures included changes in the prevalence of minimum dietary diversity (MDD), minimum meal frequency (MMF), minimum acceptable diet (MAD); and the proportion of children who met physical activity time (PAT), outdoor time (OT) and screen time (ST) recommendation between the two groups at the two follow-ups. This study is registered at Chinese Clinical Trial Registry-ChiCTR2200062529.

Findings

Between September 28th and October 12th 2022, we recruited 1610 children in 106 clusters, of which 53 clusters (800 children) were randomized to the feeding group and 53 clusters (810 children) to the movement behaviour group. All caregivers of children completed questionnaires at three time points without loss to follow-up. From baseline to the second follow-up, the prevalence of MDD (OR: 1.62 [95% CI, 1.16-2.28; p = 0.0058]), MMF (OR: 1.45 [95% CI, 1.03-2.04; p = 0.032]) and MAD (OR: 1.51 [95% CI, 1.12-2.05; p = 0.0081]) in the feeding group were significantly higher than that in the movement behaviour group. The proportion of children who met PAT during the last 24 h at the second follow-up (OR: 2.22 [95% CI, 1.26-2.17; p < 0.0001]) and OT at the second follow-up (OR: 1.94 [95% CI, 1.49-2.54; p < 0.0001]) significantly improved in the movement behaviour group compared to the feeding group. Furthermore, ST in the movement behaviour group showed a significant increase only at the first follow-up (OR: 1.36 [95% CI, 1.02-1.82; p = 0.036]).

Interpretation

WeChat-based self-assessment with tailored feedback was an effective channel to deliver feeding and movement behaviour recommendations in rural China in our study. This approach can be applied to change feeding practices of caregivers of young children alongside routine child health care in rural China.

Funding

Capital Institute of Pediatrics.

AI4FoodDB: a database for personalized e-Health nutrition and lifestyle through wearable devices and artificial intelligence

The increasing prevalence of diet-related diseases calls for an improvement in nutritional advice. Personalized nutrition aims to solve this problem by adapting dietary and lifestyle guidelines to the unique circumstances of each individual. With the latest advances in technology and data science, researchers can now automatically collect and analyze large amounts of data from a variety of sources, including wearable and smart devices. By combining these diverse data, more comprehensive insights of the human body and its diseases can be achieved. However, there are still major challenges to overcome, including the need for more robust data and standardization of methodologies for better subject monitoring and assessment. Here, we present the AI4Food database (AI4FoodDB), which gathers data from a nutritional weight loss intervention monitoring 100 overweight and obese participants during 1 month. Data acquisition involved manual traditional approaches, novel digital methods and the collection of biological samples, obtaining: (i) biological samples at the beginning and the end of the intervention, (ii) anthropometric measurements every 2 weeks, (iii) lifestyle and nutritional questionnaires at two different time points and (iv) continuous digital measurements for 2 weeks. To the best of our knowledge, AI4FoodDB is the first public database that centralizes food images, wearable sensors, validated questionnaires and biological samples from the same intervention. AI4FoodDB thus has immense potential for fostering the advancement of automatic and novel artificial intelligence techniques in the field of personalized care. Moreover, the collected information will yield valuable insights into the relationships between different variables and health outcomes, allowing researchers to generate and test new hypotheses, identify novel biomarkers and digital endpoints, and explore how different lifestyle, biological and digital factors impact health. The aim of this article is to describe the datasets included in AI4FoodDB and to outline the potential that they hold for precision health research. Database URL https://github.com/AI4Food/AI4FoodDB.

Mobile-based program improves healthy eating of ulcerative colitis patients: A pilot study

Background

Dietary management plays a crucial role in the treatment of patients with ulcerative colitis (UC). While various e-services provide dietary advice, the long-term dietary management requires continuous monitoring and dynamic adjustment to accommodate the evolving nature of the disease and meet the patients' nutritional needs. Consequently, the development of a novel dietary management tool that incorporates diet tracking, personalized nutritional feedback, and evidence-based advice becomes imperative. This study aims to address this need by developing a WeChat applet called "HealthyGut" specifically designed for the dietary management of UC patients, and evaluate its feasibility, acceptability, and preliminary efficacy.

Methods

A total of 134 UC patients were equally allocated into the intervention group (receiving a 12-week mobile-based dietary management via HealthyGut) and control group (receiving a paper-based food diary and routine advice). The feasibility outcomes were recruitment, retention, engagement, satisfaction, and acceptability in the intervention group. Dietary intakes were effective outcomes.

Results

Both groups had satisfactory retention rates (89.6% and 77.6%, respectively). The System Usability Scale in the intervention group yielded "good usability" with a mean score of 79.63 (SD 7.39), and all participants reported good user experiences and perceived benefits after using HealthyGut. At week 12, intervention responders reported significantly higher daily energy intake than control group (Z = -3.089, p = 0.002).

Conclusions and Implications

The results display that HealthyGut as a dietary management tool is feasible and accepted by UC patients, and it may help them make healthier food choices. Larger sample studies should be considered in the future.