Wearable sensors for continuous oral cavity and dietary monitoring toward personalized healthcare and digital medicine

Hong, Wonki; Lee, Won Gu

doi:10.1039/d0an01484b

Cited by 30 publications

(18 citation statements)

References 52 publications

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“…Another significant development in the sector of health technology is that smartphones can also be embedded with sensors or coupled with wearable sensors for health monitoring, which could enhance a nutrition app’s effectiveness in health behavior change. Examples of these devices that could be coupled with nutrition apps include motion sensors such as accelerometers, gyroscopes, and magnetometers that measure motion and physical activity [ 95 ]; wearable devices such as glasses (analyzing the intake pattern with smart glasses) and rings (ring-type tactile sensors to detect food mass) for food intake measurement [ 96 ]; portable and handheld single-lead electrocardiogram devices in addition to fitness trackers to measure heart rate and heart rate variability [ 95 ]; wristwatches to measure glucose levels extracted from skin interstitial fluid through reverse ionophoresis or through saliva-, sweat-, or tear-based wearable biosensors [ 97 ]; a wrist-wearable watch with the function of a pulsimeter without a cuff to measure blood pressure [ 97 ]; and ingestible capsules that can be used for medical health monitoring [ 98 ]. These enhance personal health care and performance monitoring with the potential to complement nutrition apps and have a broad impact on our society.…”

Section: Discussionmentioning

confidence: 99%

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

Salas-Groves¹,

Galyean²,

Alcorn³

et al. 2023

JMIR Mhealth Uhealth

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Background Cardiovascular disease, cancer, diabetes mellitus, and obesity are common chronic diseases, and their prevalence is reaching an epidemic level worldwide. As the impact of chronic diseases continues to increase, finding strategies to improve care, access to care, and patient empowerment becomes increasingly essential. Health care providers use mobile health (mHealth) to access clinical information, collaborate with care teams, communicate over long distances with patients, and facilitate real-time monitoring and interventions. However, these apps focus on improving general health care concerns, with limited apps focusing on specific chronic diseases and the nutrition involved in the disease state. Hence, available evidence on the effectiveness of mHealth apps toward behavior change to improve chronic disease outcomes is limited. Objective The objective of this scoping review was to provide an overview of behavior change effectiveness using mHealth nutrition interventions in people with chronic diseases (ie, cardiovascular disease, diabetes mellitus, cancer, and obesity). We further evaluated the behavior change techniques and theories or models used for behavior change, if any. Methods A scoping review was conducted through a systematic literature search in the MEDLINE, EBSCO, PubMed, ScienceDirect, and Scopus databases. Studies were excluded from the review if they did not involve an app or nutrition intervention, were written in a language other than English, were duplicates from other database searches, or were literature reviews. Following the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) 2020 guidelines, the systematic review process included 4 steps: identification of records through the database search, screening of duplicate and excluded records, eligibility assessment of full-text records, and final analysis of included records. Results In total, 46 studies comprising 256,430 patients were included. There was diversity in the chronic disease state, study design, number of participants, in-app features, behavior change techniques, and behavior models used in the studies. In addition, our review found that less than half (19/46, 41%) of the studies based their nutrition apps on a behavioral theory or its constructs. Of the 46 studies, 11 (24%) measured maintenance of health behavior change, of which 7 (64%) sustained behavior change for approximately 6 to 12 months and 4 (36%) showed a decline in behavior change or discontinued app use. Conclusions The results suggest that mHealth apps involving nutrition can significantly improve health outcomes in people with chronic diseases. Tailoring nutrition apps to specific populations is recommended for effective behavior change and improvement of health outcomes. In addition, some studies (7/46, 15%) showed sustained health behavior change, and some (4/46, 9%) showed a decline in the use of nutrition apps. These results indicate a need for further investigation on the sustainability of the health behavior change effectiveness of disease-specific nutrition apps.

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Section: Discussionmentioning

confidence: 99%

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

Salas-Groves¹,

Galyean²,

Alcorn³

et al. 2023

JMIR Mhealth Uhealth

View full text Add to dashboard Cite

show abstract

“…A user-comfortable system using ultrathin stretchable electronics for sodium-ion monitoring via long-range telemetric system [ 182 ]. Despite several reports available on the development of oral-cavity based wearable biosensors [ 183 , 184 ], a critical evaluation is mandatory, ensuring the safety and reliability of the developed system. Some of the challenges are analyte contamination by food, salivation rate, inappropriate correlation of analytes, overcoming these challenges surely will improve the practical utility of saliva-based biosensor for monitoring of potential biomarkers present herein.…”

Section: Application To Detect Biomarkers In Biofluidsmentioning

confidence: 99%

Wearable Biosensors: An Alternative and Practical Approach in Healthcare and Disease Monitoring

et al. 2021

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With the increasing prevalence of growing population, aging and chronic diseases continuously rising healthcare costs, the healthcare system is undergoing a vital transformation from the traditional hospital-centered system to an individual-centered system. Since the 20th century, wearable sensors are becoming widespread in healthcare and biomedical monitoring systems, empowering continuous measurement of critical biomarkers for monitoring of the diseased condition and health, medical diagnostics and evaluation in biological fluids like saliva, blood, and sweat. Over the past few decades, the developments have been focused on electrochemical and optical biosensors, along with advances with the non-invasive monitoring of biomarkers, bacteria and hormones, etc. Wearable devices have evolved gradually with a mix of multiplexed biosensing, microfluidic sampling and transport systems integrated with flexible materials and body attachments for improved wearability and simplicity. These wearables hold promise and are capable of a higher understanding of the correlations between analyte concentrations within the blood or non-invasive biofluids and feedback to the patient, which is significantly important in timely diagnosis, treatment, and control of medical conditions. However, cohort validation studies and performance evaluation of wearable biosensors are needed to underpin their clinical acceptance. In the present review, we discuss the importance, features, types of wearables, challenges and applications of wearable devices for biological fluids for the prevention of diseased conditions and real-time monitoring of human health. Herein, we summarize the various wearable devices that are developed for healthcare monitoring and their future potential has been discussed in detail.

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“…To realize remote medical services, considerable scientific attention has been focused on health monitoring (HM) systems, as these may be used to monitor and record user health status at any time. Many studies have focused on minimizing the discomfort caused by bulky structures during long-term measurement [1,2]. For example, ultrathin and breathable patchtype sensors have been fabricated [3][4][5][6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Multi-deformable piezoelectric energy nano-generator with high conversion efficiency for subtle body movements

et al. 2022

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Wearable sensors for continuous oral cavity and dietary monitoring toward personalized healthcare and digital medicine

Abstract: Oral monitoring plays an essential role in preventing and diagnosing systemic diseases through saliva in the mouth. Dietary monitoring is also crucial to reduce the likelihood of chronic diseases such...

Cited by 30 publications

References 52 publications

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

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

Wearable Biosensors: An Alternative and Practical Approach in Healthcare and Disease Monitoring

Multi-deformable piezoelectric energy nano-generator with high conversion efficiency for subtle body movements

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