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P, F. Dwi Basuki
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Nursing

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Weight Loss Innovation with Direct and Practical Measurable Targets P, F. Dwi Basuki; Yunita, Yunita; Atmaja, Elsa Mukti
JOURNAL EDUCATIONAL OF NURSING(JEN) Vol 6, No 1 (2023): Journal Educational of Nursing (JEN)
Publisher : Akademi Keperawatan RSPAD Gatot Soebroto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37430/jen.v6i1.228

Abstract

Nutritional status is one of the factors that plays a role in achieving the quality of healthy, intelligent, productive and independent human resource performance. Factors that influence nutritional status include nutrient intake and physical activity. Guidelines for daily food consumption and the implementation of healthy behavior in Indonesia are in the form of the General Guidelines for Balanced Nutrition (PUGS) and abroad, one of which is the Traffic Light Diet. The Traffic Light diet concept in Australia is used for labeling the nutritional content of packaging at high (red), yellow (medium), green (low) levels. In an effort to improve Healthcare Workers Wellbeing, an innovation was designed that can facilitate the implementation of the selection of types of food and the implementation of physical activity according to PUGS. The purpose of this study is to achieve optimal weight loss and changes in exercise frequency. This study uses a Quasy Experimental design (pre and post test) with variables of body weight (BW), Body Mass Index (BMI), and physical activity. Initial data collection for BW and BMI from October 2022 to December 2022. Implementation of the innovation from February to March 2023. Data were analyzed using SPSS 22 with paired t-test, Wilcoxon and chi square tests. The results of this study were to select 10 Nutritionists with overweight nutritional status to implement the innovation for 8 weeks. The results of the statistical test showed a significant decrease in BB and BMI after the innovation (p 0.000 and 0.005). The results of the statistical analysis with chi square showed that the frequency of exercise was related to weight loss (p 0.033). The conclusion drawn is that innovation helps maintain diet and physical activity so that it is more effective in losing weight. Innovation can be used as a reference source to improve Healthcare Workers Wellbeing in a wider environment. 
Weight Loss Innovation With Directly Measurable And Practical Targets P, F. Dwi Basuki; Yunita, Yunita; Atmaja, Elsa Mukti
JOURNAL EDUCATIONAL OF NURSING(JEN) Vol 5, No 2 (2022): Journal Educational of Nursing (JEN)
Publisher : Akademi Keperawatan RSPAD Gatot Soebroto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37430/jen.v5i2.224

Abstract

Nutritional status is one of the factors that plays a role in achieving the quality of healthy, intelligent, productive and independent human resource performance. Factors that influence nutritional status include nutrient intake and physical activity. Guidelines for daily food consumption and the implementation of healthy behavior in Indonesia are in the form of the General Guidelines for Balanced Nutrition (PUGS) and abroad, one of which is the Traffic Light Diet. The Traffic Light diet concept in Australia is used for labeling the nutritional content of packaging at high (red), yellow (medium), green (low) levels. In an effort to improve Healthcare Workers Wellbeing, an innovation was designed that can facilitate the implementation of the selection of types of food and the implementation of physical activity according to PUGS. The purpose of this study was to realize optimal weight loss and changes in exercise frequency. This study used a Quasy Experimental design (pre and post test) with variables of body weight (BW), Body Mass Index (BMI), and physical activity. Initial data collection for BW and BMI was from October 2022 to December 2022. Implementation of the innovation from February to March 2023. Data was analyzed using SPSS 22 with paired t-test, Wilcoxon and chi square tests. The results of this study indicate that 10 Nutritionists with overweight nutritional status have been selected to implement the innovation for 8 weeks. The results of the statistical test showed a significant decrease in BB and BMI after the innovation (p 0.000 and 0.005). The results of the statistical analysis with chi square showed that the frequency of exercise was related to weight loss (p 0.033). The conclusion that can be drawn is that innovation helps maintain diet and physical activity so that it is more effective in losing weight. Innovation can be used as a reference source to improve Healthcare Workers Wellbeing in a wider environment.
The Relationship Between Physical Activity, Fat and Carbohydrate Intake and Nutritional Status of Undergraduate Nursing Study Program Students at STIKes RSPAD Gatot Soebroto P, F. Dwi Basuki; Yunita, Yunita; Atmaja, Elsa Mukti
JOURNAL EDUCATIONAL OF NURSING(JEN) Vol 7, No 1 (2024): Journal Educational of Nursing (JEN)
Publisher : STIKes RSPAD RSPAD Gatot Soebroto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37430/jen.v7i1.218

Abstract

Nutritional status can be influenced by various factors including age, gender, and ethnicity. Nutritional status is also influenced by food intake and physical activity levels. Unbalanced nutritional intake can affect students' academic performance. Students who are malnourished tend to have low concentration, weak memory, and poor academic performance. This study aims to determine the relationship between Physical Activity, Fat and Carbohydrate Intake and Nutritional Status in Nursing S1 Students at STIKES RSPAD Gatot Soebroto. This study used an analytical observational research method using a cross-sectional design. Research Results: showed that there was no relationship between physical activity and the nutritional status of STIKes RSPAD Gatot Soebroto students known r = -0.179, there was no relationship between fat intake and student nutritional status known r = -648, and there was no relationship between carbohydrate intake and student nutritional status known r = 0.543.
Co-Authors Atmaja, Elsa Mukti Yunita Yunita