This study was aimed at evaluation of the validity and reliability of an alternative dietary measurement method that assists epidemiologic studies. We validated a handheld personal digital assistant with camera and mobile phone card, called Wellnavi, in which a 1-d weighed diet record was employed as a reference method. Twenty college students majoring in food and nutrition participated in this study. They were asked to keep a diet record and to take digital photos of all these recorded food at the same time, then send them to the dietitians by the mobile phone card. In the reliability study, other twenty students from the same college were asked to take digital photos of the same meal during a day by two same instruments under the same circumstances and to send these photos to the different dietitians electronically. With respect to validity, median nutrient intakes estimated by the Wellnavi method and the diet record method are comparable. Correlation coefficients between the median nutrient intakes estimated from these two methods ranged from 0.46 for monounsaturated fatty acid to 0.93 for vitamin B12 and copper (median r = 0.77). With respect to reliability, our data show a good agreement between two Wellnavi instruments for most of the nutrients. Correlation coefficients between the nutrient intakes estimated from 2 instruments ranged from 0.55 for vitamin B1 and water-insoluble dietary fiber to 0.92 for vitamin B12 (median r = 0.78). In conclusion, the results indicate this dietary assessment instrument can usefully measure individual dietary intakes for a variety of nutrients in an epidemiologic study.
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http://dx.doi.org/10.3177/jnsv.48.498 | DOI Listing |
Nutrients
January 2025
Department of Community Medicine, "Iuliu Hatieganu" University of Medicine and Pharmacy, 400349 Cluj-Napoca, Romania.
Background/objectives: This study aimed to investigate the lifestyle and the behavioral factors that influence the nutritional status of adolescents from Transylvania, Romania.
Methods: The Global School-Based Student Health Survey (GSHS) was used to collect data from 900 adolescents between 11 and 18 years old from the Transylvania region, Romania. This study assessed nutritional status by calculating BMI indicators adjusted to Z-Score, cut-off points according to the World Health Organization (WHO), using self-reported weight and height; perceived health status; food vulnerability; physical activity; addictive behaviors (cigarette, alcohol and drug consumption); number of hours spent in front of the computer/phone; hand and oral hygiene; sitting time/day; and sleep.
Polymers (Basel)
January 2025
State Key Laboratory of Precision Manufacturing for Extreme Service Performance, College of Mechanical and Electrical Engineering, Central South University, Changsha 410083, China.
Vibration sensors are integral to a multitude of engineering applications, yet the development of low-cost, easily assembled devices remains a formidable challenge. This study presents a highly sensitive flexible vibration sensor, based on the piezoresistive effect, tailored for the detection of high-dynamic-range vibrations and accelerations. The sensor's design incorporates a polylactic acid (PLA) housing with cavities and spherical recesses, a polydimethylsiloxane (PDMS) membrane, and electrodes that are positioned above.
View Article and Find Full Text PDFSensors (Basel)
January 2025
Department of Computer Engineering, Dongseo University, Busan 47011, Republic of Korea.
Choosing nutritious foods is essential for daily health, but finding recipes that match available ingredients and dietary preferences can be challenging. Traditional recommendation methods often lack personalization and accurate ingredient recognition. Personalized systems address this by integrating user preferences, dietary needs, and ingredient availability.
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January 2025
Department of Artifcial Intelligence, Chung-Ang University, Heukseok-dong, Dongjak-gu, Seoul 06974, Republic of Korea.
Sensor-based gesture recognition on mobile devices is critical to human-computer interaction, enabling intuitive user input for various applications. However, current approaches often rely on server-based retraining whenever new gestures are introduced, incurring substantial energy consumption and latency due to frequent data transmission. To address these limitations, we present the first on-device continual learning framework for gesture recognition.
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January 2025
Institute of Sport Science, University of Applied Sciences Wiener Neustadt, 2700 Wiener Neustadt, Austria.
Striking velocity is a key performance indicator in striking-based combat sports, such as boxing, Karate, and Taekwondo. This study aims to develop a low-cost, accelerometer-based system to measure kick and punch velocities in combat athletes. Utilizing a low-cost mobile phone in conjunction with the PhyPhox app, acceleration data was collected and analyzed using a custom algorithm.
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