Use of “Nutriatlet” smartphone application-based personalized nutrition program to improve energy consumption, body mass index, and body fat percentage among martial arts athletes

Abstract

There was a nutritional issue in the training camp of Central Java BPPLOP (Balai Pemusatan Pendidikan Latihan Olahraga Pelajar/Student Sport Education and Training Center). The year 2017 data showed that 8% of athletes experienced nutritional deficiency and 10% of athletes experienced nutritional excess. This research aimed to evaluate the effectiveness of a personalized nutrition program toward percentage of energy consumption level (%ECL), body mass index (BMI), and body fat percentage (%BF). This research utilized one-group pretestposttest design. The subjects were 59 martial arts athletes in Central Java BPPLOP. The personalized nutrition program intervention lasted a month and was encouraged by a smartphone application called Nutriatlet. The statistical test was a paired sample t test. The research concluded that mean %ECL improved significantly after intervention, from 63.37 ± 8.57 to 82.91 ± 6.31 (p < 0.001). The BF percentage also improved from 14.36 ± 6.19 to 13.40 ± 5.88 (p < 0.001). Mean BMI was not significantly different after intervention, from 21.95 ± 2.51 to 22.02 ± 2.25 (p = 0.524). We concluded that Nutriatlet usage to evaluate a personalized nutrition program could improve the energy consumption level and body fat percentage while maintaining body mass index.

The Effect of Smartphone App-Use Patterns on the Performance of Professional Golfers

“…In contrast to the negative effects of smartphone apps on sports performance, several apps have been used to improve it. In particular, smartphone apps have been applied to control sleep time schedules and sport performance analyses ( Roos, 2014 ; Voight et al, 2017 ; Balsalobre-Fernández et al, 2018 ; Budiono et al, 2018 , 2019 ; Harris et al, 2018 ). Harris et al (2018) reported that smartphone learning apps could improve sports performance by encouraging identity, goal awareness, positive reinforcement, and the need for convenience with limited time.…”

“…Athletes who did dietary planning using the diet education app Nutriatlet showed an increase in energy consumption level ≥10% per time unit compared to athletes who did not use it ( Budiono et al, 2018 ). In addition, Nutriatlet improved energy consumption, body mass index, and body fat percentage in martial-arts athletes ( Budiono et al, 2019 ). In other words, the continuous use of the educational apps, which our study included in the category “Serious Apps,” leads to improvement in behavior, lifestyle, and health, thereby contributing directly and indirectly to improving performance.…”

The use of participatory action research to improve energy intake of the soccer athletes

“…The use of action research in several sport nutrition studies is carried out with the modification of an innovative intervention program. Innovative programs in action research in the field of sports nutrition include in the form of nutrition assistance using web-based applications, Android, and other tools to improve athletes' diet compliance (Budiono et al, 2018(Budiono et al, , 2019Chen et al, 2015).…”

“…Physical and technical training programs provided to athletes will be less optimal for athletes experiencing nutritional problems. Therefore the training program for athletes must be implemented comprehensively, involving various aspects including nutrition assistance activities (Budiono et al, 2019).…”

Consumption of Fried Foods as A Risk Factor for Hypercholesterolemia: Study of Eating Habits in Public Health Students

“…The results of the multivariate analysis for the magnitude of the risk of consuming fried foods were 5.42, meaning that people who consumed fried foods ≥ 67 grams/day had a 5.42 times greater risk of suffering from hypercholesterolemia than those who consumed fried foods <67 grams/ day. A study from Budiono (2019) using the Nutriatlet app, a personalized nutrition program instrument showed essential finding that was a decreased body fat percentage, the app is used to ensure the consumption of appropriate foods, athletes should be able to select foods according to their needs so they maintaining body mass index (Budiono, et al, 2019). These results indicate that the variable consumption of fried foods after being analyzed together with the dependent variable, the results show that there is still a significant relationship with hypercholesterolemia.…”