scholarly journals Development of a Mobile Application Platform for Self-Management of Obesity Using Artificial Intelligence Techniques

2021 ◽  
Vol 2021 ◽  
pp. 1-16
Author(s):  
Sylvester M. Sefa-Yeboah ◽  
Kwabena Osei Annor ◽  
Valencia J. Koomson ◽  
Firibu K. Saalia ◽  
Matilda Steiner-Asiedu ◽  
...  

Obesity is a major global health challenge and a risk factor for the leading causes of death, including heart disease, stroke, diabetes, and several types of cancer. Attempts to manage and regulate obesity have led to the implementation of various dietary regulatory initiatives to provide information on the calorie contents of meals. Although knowledge of the calorie content is useful for meal planning, it is not sufficient as other factors, including health status (diabetes, hypertension, etc.) and level of physical activity, are essential in the decision process for obesity management. In this work, we present an artificial intelligence- (AI-) based application that is driven by a genetic algorithm (GA) as a potential tool for tracking a user’s energy balance and predicting possible calorie intake required to meet daily calorie needs for obesity management. The algorithm takes the users’ input information on desired foods which are selected from a database and extracted records of users on cholesterol level, diabetes status, and level of physical activity, to predict possible meals required to meet the users need. The micro- and macronutrients of food content are used for the computation and prediction of the potential foods required to meet the daily calorie needs. The functionality and performance of the model were tested using a sample of 30 volunteers from the University of Ghana. Results revealed that the model was able to predict both glycemic and non-glycemic foods based on the condition of the user as well as the macro- and micronutrients requirements. Moreover, the system is able to adequately track the progress of the user’s weight loss over time, daily nutritional needs, daily calorie intake, and predictions of meals that must be taken to avoid compromising their health. The proposed system can serve as a useful resource for individuals, dieticians, and other health management personnel for managing obesity, patients, and for training students in fields of dietetics and consumer science.

Author(s):  
Thurmon Lockhart ◽  
Rahul Soangra ◽  
Ijphmeditor

This special issue was conceived during the 11th Annual Conference of Prognostic and Health Management Society’s Panel session on the September 25th at Scottsdale, AZ, USA. We would like to thank the panel members and their colleagues in their participation in this special issue focusing on engineered technologies for older adults. This work was partially funded by the NSF ERC seed grant from an interdisciplinary group of researchers from Iowa State University, Arizona State University, Georgia Tech, Florida State University, Chapman University and the University of California Irvine who are engaged in developing a large-scale grant proposal that will be focused on integrated technologies to promote resilient aging and reducing healthcare costs.The manuscripts exemplify our research focus and illustrates contributions in the fields of wearable smart sensors, sensor-data-fusion, machine learning and data mining, prediction and diagnosis, and electronic health records and databases - all in the context of prognostics and health management for human health and performance.We would like to thank the PHM Society for providing an opportunity to publish in their premier journal, and importantly, we are grateful for help of the Editor-in-Chief – Marcos Orchard, Ph.D. for his countless hours to edit and make it best possible of this special issue. Finally, we would like to express sincere appreciation to all the reviewers who have contributed their time and thoughtful feedback to making this special issue publication a success.


Health Scope ◽  
2021 ◽  
Vol 10 (4) ◽  
Author(s):  
Fariba Shahraki Sanavi ◽  
Mahdi Mohammadi ◽  
Maryam Seraji ◽  
Hassan Okati-Aliabad

Background: A workplace has an important role in staff health. Besides, it is a suitable place for performing interventions to reduce the risk of suffering from health problems associated with physical inactivity and overweight, and to reduce risks of cardiovascular and non-communicable diseases. Objectives: This study aims to investigate the effects of health promotion educational interventions on self-care behaviors of nutrition and physical activity among the selected university staff in Zahedan during the COVID-19 pandemic. Methods: The present quasi-experimental research was conducted in 2020-2021 in Zahedan, southeastern Iran. The control and intervention groups included a random selectionof 110 and 144 non-academic staff members of Zahedan University of Medical Sciences (ZAUMS) as well as Sistan and Baluchestan University (SBU), respectively. At the beginning of the COVID-19 pandemic, an online researcher-made questionnaire (Porsline, https://survey.porsline.ir) (CVR: 92%; CVI: 90%; reliability: 85%) was uploaded, which had been already approved. Besides, educational booklets were provided to the intervention group via WhatsApp and Soroush messengers, through which the participants were allowed to ask their questions after every session. One month after the intervention, the online questionnaires were re-uploaded on Porsline and recompleted by the participants. The results were analyzed using SPSS V21.0. Results: The results indicated that the self-care behaviors of nutrition and physical activity increased significantly in terms of awareness, attitude, and performance among the intervention group participants after conducting the educational intervention (P-value < 0.05). Accordingly, the educational intervention resulted in an increase in the level of awareness, attitude, and performance of nutrition and physical activity among the university staff of the intervention group. Besides, the performance of physical activity was significantly affected not only by the intervention (P < 0.001) but also by work experience (P < 0.001). In addition, nutrition behavior was significantly better in female staff than male staff (P = 0.048), but there was no significant correlation between gender and the intervention (P = 0.266). Conclusions: The educational program executed in the present study was shown to be effective in promoting self-care behaviors of nutrition and physical activity among the university staff. Thus, health programmers and policymakers can have a significant role in promoting staff health by executing interventional educational programs. Accordingly, the efficiency of the whole system will improve by adopting these strategies and programs.


2021 ◽  
Vol 36 (1) ◽  
pp. 67-71
Author(s):  
M. Christian Green

Some years back, around 2013, I was asked to write an article on the uses of the Bible in African law. Researching references to the Bible and biblical law across the African continent, I soon learned that, besides support for arguments by a few states in favor of declaring themselves “Christian nations,” the main use was in emerging debates over homosexuality and same-sex relationships—almost exclusively to condemn those relationships. In January 2013, the newly formed African Consortium for Law and Religion Studies (ACLARS) held its first international conference at the University of Ghana Legon. There, African sexuality debates emerged forcefully in consideration of a paper by Sylvia Tamale, then dean of the Makarere University School of Law in Uganda, who argued pointedly, “[P]olitical Christianity and Islam, especially, have constructed a discourse that suggests that sexuality is the key moral issue on the continent today, diverting attention from the real critical moral issues for the majority of Africans . . . . Employing religion, culture and the law to flag sexuality as the biggest moral issue of our times and dislocating the real issue is a political act and must be recognised as such.”


Author(s):  
Seung-Man Lee ◽  
Wi-Young So ◽  
Hyun-Su Youn

This study assessed the health perceptions of 333 Korean adolescents during the coronavirus disease (COVID-19) pandemic via an online questionnaire administered in October 2020, which queried the perceived importance and actual performance of health behaviors. The health perception scales used in the survey consists of the six dimensions of mental health, disease, physical activity, sleep, diet, and sanitary health. The data were primarily analyzed using paired sample t-test for analysis of difference and importance-performance analysis (IPA). The IPA results were presented in four quadrants—“keep up the good work,” “concentrate here,” “low priority,” and “possible overkill.” The results indicated that first, there was a positive relationship between the importance and performance of all the subdimensions of health perception. Second, sanitary healthcare was rated as being of the greatest importance and was performed most, while physical activity management was rated least important and performed least. Third, statistically significant differences were found between importance and performance for all items of mental health, disease, physical activity, sleep, and diet dimensions, and some differences were found for items assessing the hygiene control dimension. Fourth, in the two-dimensional IPA model, “sanitary health” and “disease” are in Quadrant I (keep up the good work); “mental health,” in Quadrant II (concentrate here); and “physical activity,” “sleep,” and “diet,” in Quadrant III (low priority). No components of healthcare were in Quadrant IV (possible overkill). Based on these results, we emphasize the importance of adolescent health education and discuss solutions to enhance the performance of healthcare activities.


2021 ◽  
pp. 016555152098549
Author(s):  
Donghee Shin

The recent proliferation of artificial intelligence (AI) gives rise to questions on how users interact with AI services and how algorithms embody the values of users. Despite the surging popularity of AI, how users evaluate algorithms, how people perceive algorithmic decisions, and how they relate to algorithmic functions remain largely unexplored. Invoking the idea of embodied cognition, we characterize core constructs of algorithms that drive the value of embodiment and conceptualizes these factors in reference to trust by examining how they influence the user experience of personalized recommendation algorithms. The findings elucidate the embodied cognitive processes involved in reasoning algorithmic characteristics – fairness, accountability, transparency, and explainability – with regard to their fundamental linkages with trust and ensuing behaviors. Users use a dual-process model, whereby a sense of trust built on a combination of normative values and performance-related qualities of algorithms. Embodied algorithmic characteristics are significantly linked to trust and performance expectancy. Heuristic and systematic processes through embodied cognition provide a concise guide to its conceptualization of AI experiences and interaction. The identified user cognitive processes provide information on a user’s cognitive functioning and patterns of behavior as well as a basis for subsequent metacognitive processes.


2012 ◽  
Vol 20 (1) ◽  
pp. 1-14 ◽  
Author(s):  
Mark W. Swanson ◽  
Eric Bodner ◽  
Patricia Sawyer ◽  
Richard M. Allman

Little is known about the effect of reduced vision on physical activity in older adults. This study evaluates the association of visual acuity level, self-reported vision, and ocular disease conditions with leisure-time physical activity and calculated caloric expenditure. A cross-sectional study of 911 subjects 65 yr and older from the University of Alabama at Birmingham Study of Aging (SOA) cohort was conducted evaluating the association of vision-related variables to weekly kilocalorie expenditure calculated from the 17-item Leisure Time Physical Activity Questionnaire. Ordinal logistic regression was used to evaluate possible associations while controlling for potential confounders. In multivariate analyses, each lower step in visual acuity below 20/50 was significantly associated with reduced odds of having a higher level of physical activity, OR 0.81, 95% CI 0.67, 0.97. Reduced visual acuity appears to be independently associated with lower levels of physical activity among community-dwelling adults.


2021 ◽  
pp. 089826432110209
Author(s):  
Guilherme M. Balbim ◽  
Susan Aguiñaga ◽  
Olusola A. Ajilore ◽  
Eduardo E. Bustamante ◽  
Kirk I. Erickson ◽  
...  

Objective: To investigate the effects of the BAILAMOSTM dance program on physical activity (PA), cardiorespiratory, and cognitive health. Methods: A parallel, two-armed pilot study was conducted with 57 older Latinos randomized to the BAILAMOSTM dance program ( n = 28) or health education (HE) ( n = 29). We conducted two- and three-way repeated-measures ANOVAs. Results: BAILAMOSTM participants increased participation in leisure moderate-to-vigorous PA (LMVPA) ( F[1,53] = 3.17, p = .048, η2 G = .01) and performance in global cognition relative to HE participants ( F[1,52] = 4.19, p = .045, η2 G = .01). Attendance moderated increases in moderate PA, MVPA, LMVPA, and total PA ( p < .05). Participants of both groups with ≥75% attendance increased participation in PA. Among participants with <75% attendance, BAILAMOSTM participants increased PA relative to HE. Discussion: BAILAMOSTM positively impacted self-reported PA and global cognition in older Latinos. Even smaller doses of dance appear to impact self-reported PA levels.


Author(s):  
David Mahon ◽  
Anthony Clarkson ◽  
Simon Gardner ◽  
David Ireland ◽  
Ramsey Jebali ◽  
...  

In the last decade, there has been a surge in the number of academic research groups and commercial companies exploiting naturally occurring cosmic-ray muons for imaging purposes in a range of industrial and geological applications. Since 2009, researchers at the University of Glasgow and the UK National Nuclear Laboratory (NNL) have pioneered this technique for the characterization of shielded nuclear waste containers with significant investment from the UK Nuclear Decommissioning Authority and Sellafield Ltd. Lynkeos Technology Ltd. was formed in 2016 to commercialize the Muon Imaging System (MIS) technology that resulted from this industry-funded academic research. The design, construction and performance of the Lynkeos MIS is presented along with first experimental and commercial results. The high-resolution images include the identification of small fragments of uranium within a surrogate 500-litre intermediate level waste container and metal inclusions within thermally treated GeoMelt® R&D Product Samples. The latter of these are from Lynkeos' first commercial contract with the UK National Nuclear Laboratory. The Lynkeos MIS will be deployed at the NNL Central Laboratory facility on the Sellafield site in Summer 2018 where it will embark upon a series of industry trials. This article is part of the Theo Murphy meeting issue ‘Cosmic-ray muography’.


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