Systematic Literature Review of Food-Intake Monitoring in an Aging Population

A Scoping Review of Nutrition Health for Older Adults: Does Technology Help?

The technological developments in healthcare may help facilitate older adult nutritional care. This scoping review includes research in technology and nutrition to (1) explain how technology is used to manage nutrition needs and (2) describe the forms of technology used to manage nutrition. Five major databases were the foundation for papers published from January 2000 to December 2020. The most common type of technology used is software to (1) "track, plan, and execute" nutrition management and for (2) "assessing" technology use. "Track, plan, and execute" includes tracking food intake, planning for changes, and executing a plan. "Assessing" technology use is collecting nutrition data from a provider's or an older adult's self-use of technology to understand dietary intake. Hardware is the second most type of technology used, with tablet computers for software and internet access. The findings reveal that software for older adults lacks standardization, the Internet of Things is a promising area, the current device emphasis is the tablet computer, and broadband internet access is essential for nutrition care. Only 38 studies were published in the last five years, indicating that nutrition management for older adults with hardware or software has not reached a significant research mass.

Toward a robust swallowing detection for an implantable active artificial larynx: a survey

Total laryngectomy consists in the removal of the larynx and is intended as a curative treatment for laryngeal cancer, but it leaves the patient with no possibility to breathe, talk, and swallow normally anymore. A tracheostomy is created to restore breathing through the throat, but the aero-digestive tracts are permanently separated and the air no longer passes through the nasal tracts, which allowed filtration, warming, humidification, olfaction, and acceleration of the air for better tissue oxygenation. As for phonation restoration, various techniques allow the patient to talk again. The main one consists of a tracheo-esophageal valve prosthesis that makes the air passes from the esophagus to the pharynx, and makes the air vibrate to allow speech through articulation. Finally, swallowing is possible through the original tract as it is now isolated from the trachea. Yet, many methods exist to detect and assess a swallowing, but none is intended as a definitive restoration technique of the natural airway, which would permanently close the tracheostomy and avoid its adverse effects. In addition, these methods are non-invasive and lack detection accuracy. The feasibility of an effective early detection of swallowing would allow to further develop an implantable active artificial larynx and therefore restore the aero-digestive tracts. A previous attempt has been made on an artificial larynx implanted in 2012, but no active detection was included and the system was completely mechanic. This led to residues in the airway because of the imperfect sealing of the mechanism. An active swallowing detection coupled with indwelling measurements would thus likely add a significant reliability on such a system as it would allow to actively close an artificial larynx. So, after a brief explanation of the swallowing mechanism, this survey intends to first provide a detailed consideration of the anatomical region involved in swallowing, with a detection perspective. Second, the swallowing mechanism following total laryngectomy surgery is detailed. Third, the current non-invasive swallowing detection technique and their limitations are discussed. Finally, the previous points are explored with regard to the inherent requirements for the feasibility of an effective swallowing detection for an artificial larynx. Graphical Abstract.

Dietary Intakes of Slovenian Adults and Elderly: Design and Results of the National Dietary Study SI.Menu 2017/18

Incomparable and insufficiently detailed information on dietary intakes are common challenges associated with dietary assessment methods. Being a European Union country, Slovenia is expected to conduct national food consumption studies in line with harmonised EU Menu methodology. The present study aimed to describe the methodology and protocols in the Slovenian nationally representative dietary survey SI.Menu 2017/18, and to assess population dietary habits with respect to food consumption and energy and macronutrient intakes. While the study targeted various population groups, this report is focused on adults. A representative sample of participants was randomly selected from the Central Register of Population according to sex, age classes and place of residency, following a two-stage stratified sampling procedure. Information on food consumption was collected with two non-consecutive 24-h dietary recalls using a web-based Open Platform for Clinical Nutrition (OPEN) software. Data were complemented with a food propensity questionnaire to adjust for usual intake distribution. Altogether, 364 adults (18–64 years) and 416 elderlies (65–74 years) were included in the data analyses. Study results highlighted that observed dietary patterns notably differ from food-based dietary guidelines. Typical diets are unbalanced due to high amounts of consumed meat and meat products, foods high in sugar, fat and salt, and low intake of fruits and vegetables and milk and dairy products. Consequently, the energy proportion of carbohydrates, proteins, and to some extent, free sugars and total fats, as well as intake of dietary fibre and total water deviates from the reference values. Age and sex were significantly marked by differences in dietary intakes, with particularly unfavourable trends in adults and men. Study results call for adoption of prevention and public health intervention strategies to improve dietary patterns, taking into account population group differences. In addition, all developed protocols and tools will be useful for further data collection, supporting regular dietary monitoring systems and trend analyses.

Analysis of Scientometric Indicators in Publications Associated with Healthy Aging in the World, Period 2011-2020

Today, the world population is aging at a fast rate. This scenario of the accelerated aging of human populations entails increased concern for healthy aging that is associated with a rise in scientific production related to the topic. In this study, the Scopus database from Elsevier was used, with a final search carried out on 5 January 2022, and various bibliometric indicators were obtained from SciVal. The study was fundamentally intended to characterize, determine trends, and understand the evolution and current state of research on the concept of "healthy aging" in the last decade. We found that there has been proportionally greater and more accelerated growth in the subject with respect to the general productivity of the world and that countries with high life expectancies tend to have made more effort to investigate this topic. The "hottest" research areas were found to be related to the cognitive aspect and the biological mechanisms involved in aging.

Uncertainty-aware selecting for an ensemble of deep food recognition models

Deep learning is a machine learning technique that has revolutionized the research community due to its impressive results on various real-life problems. Recently, ensembles of Convolutional Neural Networks (CNN) have proven to achieve high robustness and accuracy in numerous computer vision challenges. As expected, the more models we add to the ensemble, the better performance we can obtain, but, in contrast, more computer resources are needed. Hence, the importance of deciding how many models to use and which models to select from a pool of trained models is huge. From the latter, a common strategy in deep learning is to select the models randomly or according to the results on the validation set. However, in this way models are chosen based on individual performance ignoring how they are expected to work together. Alternatively, to ensure a better complement between models, an exhaustive search can be used by evaluating the performance of several ensemble models based on different numbers and combinations of trained models. Nevertheless, this may result in being high computationally expensive. Considering that epistemic uncertainty analysis has recently been successfully employed to understand model learning, we aim to analyze whether an uncertainty-aware epistemic method can help us decide which groups of CNN models may work best. The method was validated on several food datasets and with different CNN architectures. In most cases, our proposal outperforms the results by a statistically significant range with respect to the baseline techniques and is much less computationally expensive compared to the brute-force search.

The role of nurse staffing in the performance of function-preserving processes during acute hospitalization: A cross-sectional study

BACKGROUND

Performance of function-preserving hospitalization processes related to patient mobility, use of continence aids and food intake is significantly associated with outcomes in older adults. Nurses are the front-line personnel responsible for promoting performance of such processes. The degree to which nurse staffing is related to this performance is unclear.

OBJECTIVE

To identify nurse-staffing characteristics and nursing-related care needs associated with older patients' mobility, continence care and food intake during acute hospitalization.

DESIGN

Cross-sectional study using survey data from the Hospitalization Process Effects on Functional Outcomes and Recovery (HoPE-FOR) cohort study combined with day-level administrative nurse staffing data and clinical day-level aggregated data for all patients hospitalized during the HoPE-FOR study period.

SETTING

Internal medicine units in two medical centers in Israel.

PARTICIPANTS

Eight hundred seventy-three older adults.

METHODS

Mobility, continence care and food intake were assessed within 2 days of admission using validated questionnaires. Nurse-to-patient ratios and nursing-skill mix (i.e. registered nurses (RNs), nurse aides, nurses with advanced clinical training and RNs with an academic degree) were assessed using administrative data. Decision trees were developed for mobility, continence care and food intake, applying classification and regression-tree analysis.

RESULTS

The mobility decision tree identified three characteristics subdividing patients into six nodes: pre-admission functioning, pre-admission activity level and percentage of nurses with advanced training. The percentage of nurses with advanced training classified low-functioning patients into those walking in corridors versus walking or sitting only inside the room. The continence-care classification decision tree identified two characteristics that subdivided the patients into four nodes: pre-admission functioning and bladder control. Nurse-to-patient-ratio variables and patients' nursing-related care needs did not contribute to this classification. The food-intake decision tree identified four characteristics-pre-admission functioning, gender, percentage of nurses with advanced training and percentage of nurse aides-subdividing patients into eight nodes. Low-functioning patients exposed to a higher percentage of nurses with advanced training had food-intake scores 14% higher than patients exposed to a lower percentage of nurses with advanced training. Independent men exposed to a higher percentage of nurse aides had a 14% higher habitual daily in-hospital food-intake score than independent men exposed to a lower percentage of nurse aides.

CONCLUSIONS

A higher percentage of nurses with post-graduate education is associated with better performance of mobility and food intake of hospitalized older adults. To maintain the potential benefits of highly trained staff, education levels should be considered in scheduling and assignment decision-making processes in internal medicine units. Tweetable abstract: A higher percentage of nurses with post-graduate education is associated with better mobility and food intake of hospitalized older adults.

Sensory Interactive Table (SIT)-Development of a Measurement Instrument to Support Healthy Eating in a Social Dining Setting

This paper presents the Sensory Interactive Table (SIT): an instrumented, interactive dining table. Through the use of load cells and LEDs that are embedded in the table surface, SIT allows us to study: (1) the eating behaviors of people in a social setting, (2) the social interactions around the eating behaviors of people in a social setting, and (3) the continuous cycle of feedback through LEDs on people’s eating behavior and their response to this feedback in real time, to ultimately create an effective dietary support system. This paper presents the hard- and software specifications of the system, and it shows the potential of the system to capture mass-related dimensions in real time and with high accuracy and spatial resolution.