Statistical Tests Research Articles

Progression of valve heart disease in a cohort of patients undergoing renal replacement therapy.

Cardiovascular disease is an important cause of death among patients with chronic kidney disease (CKD). Valve calcification is a predictor of cardiovascular mortality and coronary artery disease. To assess heart valve disease frequency, associated factors, and progression in CKD patients. We conducted a retrospective study on 291 CKD patients at Hospital das Clínicas de Pernambuco. Inclusion criteria were age ≥ 18 with CKD and valve disease, while those on conservative management or with missing data were excluded. Clinical and laboratory variables were compared, and patients were categorized by dialysis duration (<5 years; 5-10 years; >10 years). Statistical tests, including chi-square, Fisher's exact, ANOVA, and Kruskal-Wallis, were employed as needed. Simple and multivariate binary regression models were used to analyze valve disease associations with dialysis duration. Significance was defined as p < 0.05. Mitral valve disease was present in 82.5% (240) of patients, followed by aortic valve disease (65.6%; 86). Over time, 106 (36.4%) patients developed valve disease. No significant association was found between aortic, pulmonary, mitral, or tricuspid valve disease and dialysis duration. Secondary hyperparathyroidism was the sole statistically significant factor for mitral valve disease in the regression model (OR 2.59 [95% CI: 1.09-6.18]; p = 0.031). CKD patients on renal replacement therapy exhibit a high frequency of valve disease, particularly mitral and aortic valve disease. However, no link was established between dialysis duration and valve disease occurrence or progression.

Computer model for detecting tsunami wave hazard on built-up land using machine learning and sentinel 2A satellite imagery

&lt;p&gt;The aim of this research is to compile a tsunami wave hazard scale based on built-up land density extracted and classified by machine learning from Sentinel 2A satellite and digital elevation model (DEM) imageries. This research was carried out in 5 stages, namely: (i) pre-processing of Sentinel 2A and DEM images, (ii) Classification of VI data using the machine learning algorithms, (iii) Spatial prediction using the ordinary kriging method, (iv) Field testing using the confusion matrix method, (v) Preparation of decision matrix for tsunami wave hazard. The results of the study show that the most accurate classification algorithm for classifying built-up indices data is the k-nearest neighbor (k-NN) algorithm. The results of the statistical accuracy test show that the most accurate is normalized difference built-up index (NDBI) with a mean of square error (MSE) value of 0.073 and a mean of absolute error (MAE) of 0.003. DEM analysis shows that the research area is at an altitude of 0–15 meters above sea level so it is in the high vulnerability to medium vulnerability category. Field testing showed user accuracy of 91.11%, manufacturer accuracy of 92.16%, and overall average accuracy of 91%.&lt;/p&gt;

Work motivation of implementing nurses to improve the quality of health services

Introduction: The motivation of the implementing nurse is essential to improving the quality of health services. Implementing nurses plays a vital role in providing quality services to patients. High work motivation is crucial in enhancing nurses' performance and commitment to providing the best care. Objective: Knowing the motivation behind implementing nurses can improve the quality of health services. Method: This research is quantitative, with a cross-sectional study design using a quantitative analytical approach. The number of samples was 81 people using total sampling. The research instrument used was a questionnaire with a Likert scale. The analysis method uses the Fisher's exact test. Results: Based on the results of the analysis, these employees have discipline that is still lacking in completing work, while of the 5 respondents who have low work motivation, three respondents (3.7%) have good performance. This is because employees have effectiveness, efficiency, authority, responsibility, discipline, and good work initiative. The statistical test results using Fisher's exact test obtained p = 0.009, smaller than a = 0.05 (p &lt; 0.05), which means Ho is accepted and Ha is rejected. This suggests there is a meaningful relationship between work motivation and. Conclusion: The researchers found that the work motivation of implementing nurses can improve the quality of health services. Implementing nurses can enhance healthcare quality, build team spirit, and achieve organisational goals. These efforts help increase patient satisfaction and improve job satisfaction and nurses' well-being. Therefore, understanding and applying compelling work motivation is the key to improving the quality of health services.

Efficacy of Inclisiran in Patients Having Familial Hypercholesterolemia: Heterozygous Compared to Homozygous Trait, a Systematic Review and Meta-analysis.

To find out whether inclisiran sodium has different efficacy in heterozygous familial hypercholesterolemia (HeFH) and homozygous familial hypercholesterolemia (HoFH) patient groups. We conducted the systematic review and meta-analysis of ORION clinical trials. PubMed, Embase, and Clinicaltrials.gov databases were searched for the relevant studies. Atheroscalerotic parameters considered for our objective were low-density lipoprotein cholesterol, total cholesterol, proprotein convertase subtilisin/kexin type 9 (PCSK9), apolipoprotein B, and nonhigh-density lipoprotein cholesterol. Primary outcomes were the percentage difference in atheroscalerotic parameters at follow-up relative to baseline values. Our study examined these primary outcomes to determine whether there is a statistically significant difference between the HeFH and HoFH groups. Risk of bias was assessed by the Cochrane risk of bias tool. Meta-analysis was performed when at least 2 studies reported on the same variable. Four ORION clinical trials provided the data related to the mean difference in the atheroscalerotic parameters at follow-up relative to baseline, of HeFH and HoFH patient populations, after administration of 300 mg inclisiran subcutaneously. We pooled together these mean differences for each group and applied a statistical test to analyze if the values were significantly different between the groups. The results of our study unveiled the significant difference in pooled mean differences in low-density lipoprotein cholesterol (HeFH: -48.62%; HoFH: -9.12%; P < 0.05), total cholesterol (HeFH: -30.31%; HoFH: -11.50%; P < 0.05), apolipoprotein (HeFH: -39.97%; HoFH: -14.68%; P < 0.05), and nonhigh-density lipoprotein (HeFH: -44.51%; HoFH: -12.22%; P < 0.05) between HeFH and HoFH groups. However, the difference in pooled mean difference in PCSK9 values (HeFH: -68.41%; HoFH: -56.25%; P = 0.2) between HeFH and HoFH groups was statistically insignificant. Studies were of high quality. There was a significant difference in the reductions in atherosclerotic lipid parameters in heterozygous and homozygous populations after the administration of inclisiran except for PCSK9 parameter. Further studies are needed to support this conclusion.

Development of the noise questionnaire in the online learning process and implications for counseling

Starting with online learning requires a lot of attention such as focus, comfortable sitting, and avoiding distractions such as noise. A noise questionnaire instrument is an evaluation tool designed to identify the experience of students in the online learning process. This instrument was developed based on a literature review on noise and online learning. The instrument first stage was given to 110 students and the instrument second stage was given to 460 students in seven universities in Indonesia, 99 male and 361 female respondents aged 18-30 years. The instrument was designed based on DeVito’s noise theory: physical noise, physiological noise, psychological noise, and semantic noise. The statistical test of the instrument used confirmatory factor analysis (CFA) to find the goodness of fit index model. The results of the noise instrument factor analysis show a fit model, acceptable validity, and high internal consistency (α=0.86). The findings of this study produce valid and reliable instruments for identifying noise indicators that are dominant in online learning activities. The results of identifying noise in online learning can be used to design guidance and counseling programs or plan actions to deal with noise in online learning according to the data obtained.

Effect of knowledge level on IUD contraceptive use in women of childbearing age

Introduction: The use of intrauterine device (IUD) contraception is one effective method for birth control and family planning. Despite this, IUD adoption rates among women of childbearing age are still relatively low. One factor that can affect IUD use is a woman's level of knowledge about this method of contraception. Objective: analyze the effect of knowledge level on IUD contraceptive use in women of childbearing age. Methods: This study used a quantitative research design with a cross sectional approach. The sampling technique uses Total Sampling and the number of respondents is 134 KB acceptors. Data collection using Knowledge questionnaire. Result: The results of the Chi Square statistical test showed a p value (0.001) &lt; α = (0.05) with a confidence level of 95%, indicating that Ho was rejected and Ha was accepted or there was a knowledge relationship with IUD contraceptive use. Conclusion: The level of knowledge about IUDs has a significant effect on a woman's decision to use this method of contraception. Efforts to increase education and information about IUDs are expected to increase IUD use rates and help family planning programs.

Health education lecture method to increase posyandu cadres' knowledge about stunting prevention in children

Introduction: Stunting is a serious health problem in children, especially in developing countries. Sufficient knowledge about stunting prevention is essential for Posyandu cadres, as they play a role in providing information and support to mothers and children in the community. Objective: evaluate the effectiveness of the lecture method in increasing the knowledge of Posyandu cadres about stunting prevention in children. Method: This type of research uses a quantitative approach. In this study, using a group of health posyandu cadres, stunting knowledge was given using the lecture method. The population in the study of cadre mothers was 60 people, with a sample size of 36 people, using purposive sampling. Measuring instruments use questionnaire instruments and analysis results are in the form of descriptive data equipped with tables. Results: based on statistical test wilcoxon test Asymp.Sig. (2-tailed) P Value 0.000 ≤ 0.05 means that there is an increase in knowledge between before and after educational intervention with the lecture method. Conclusion: The lecture method is effective in increasing the knowledge of Posyandu cadres about stunting prevention in children. It is hoped that the results of this study can be the foundation for a broader health education program to overcome the problem of stunting in children in the community.

Interpersonal self-efficacy, morale, and personality traits of public elementary school teachers vis-à-vis teaching performance

In the landscape of education, the role of elementary school teachers stands as a cornerstone in shaping the intellectual and emotional development of young minds. Amidst the myriad of factors influencing teaching effectiveness, the interplay between interpersonal self-efficacy, morale, personality traits, and teaching performance emerges as a critical area of inquiry. This study employed descriptive correlational research to determine the level of interpersonal self-efficacy, morale, and personality traits of public elementary school teachers vis-à-vis teaching performance in the Division of Ozamis City, School Year 2022-2023. Respondents of the study were the public school teachers from District 5 and 6 of Ozamis City Division with a total of 117 teacher respondents. Frequency Count, Percentage, Mean, Weighted Average Mean, Kruskal-Wallis Test, Dunn’s Pairwise Tests, and Spearman rho were the statistical tests. Study revealed that the majority of respondents were female teachers with a range of one to five teaching experience. The teachers demonstrated high levels of interpersonal self-efficacy and morale, indicating their confidence in guiding and inspiring their pupils, as well as their satisfaction with their interactions and contributions to the school and community. While no significant differences were found in self-efficacy, morale, and personality traits based on age, sex, and highest educational attainment. It is worth noting that personality traits had a significant but very low correlation with performance. These findings highlight the importance of cultivating positive teacher attributes and promoting a supportive environment to enhance teacher performance and ultimately improve the quality of education in the region.

Mother's intention to provide balanced nutritious food to children 6-24 months

Context: The nutritional problem in Indonesia based on SSGI in 2021 is 24.4%, while underweight is 17% and wasted is 7.1% [1]. When compared to the WHO standard regarding the amount of stunting prevalence that is not a problem, which is 20%, the prevalence rate is still considered high and efforts are needed to reduce the prevalence. In Surabaya City, it is known that there are underweight toddlers (BB/U) as much as 7.5%, short toddlers (TB/U) as much as 4.8%, wasting toddlers (BB/TB) as much as 6.1%, and overweight toddlers (BB/TB) as much as 3.4% [2]. Methodology: This research is a cross-sectional descriptive study. The sample size in this study used a saturated sample or the entire population was used as a sample, namely 61 people. Data analysis used in this study is using the chi-square test. Results: Statistical test results of knowledge with intention showed a ρ-value (0.349) &gt; 0.05 which means that there is no relationship. Data analysis regarding the relationship between respondents' attitudes and intentions shows a ρ-value (&lt;0.001) &lt;0.05, which means that there is a relationship. Data analysis regarding the relationship between respondents' subjective norms and intentions shows a ρ-value (0.008) &lt; 0.05, which means that there is a relationship. Data analysis regarding the relationship between respondents' perceived behavioral control and intention shows a ρ-value (0.004) &lt;0.05, which means that there is a relationship. Conclusion: From the results of the study it can be concluded that there is a relationship between attitude, subjective norms, perceived behavioral control with maternal intention. Conversely, the results showed no relationship between knowledge and mothers' intention in providing balanced nutritious food to children.

Enhancing image security via chaotic maps, Fibonacci, Tribonacci transformations, and DWT diffusion: a robust data encryption approach

In recent years, numerous image encryption schemes have been developed that demonstrate different levels of effectiveness in terms of robust security and real-time applications. While a few of them outperform in terms of robust security, others perform well for real-time applications where less processing time is required. Balancing these two aspects poses a challenge, aiming to achieve efficient encryption without compromising security. To address this challenge, the proposed research presents a robust data security approach for encrypting grayscale images, comprising five key phases. The first and second phases of the proposed encryption framework are dedicated to the generation of secret keys and the confusion stage, respectively. While the level-1, level-2, and level-2 diffusions are performed in phases 3, 4, and 5, respectively, The proposed approach begins with secret key generation using chaotic maps for the initial pixel scrambling in the plaintext image, followed by employing the Fibonacci Transformation (FT) for an additional layer of pixel shuffling. To enhance security, Tribonacci Transformation (TT) creates level-1 diffusion in the permuted image. Level-2 diffusion is introduced to further strengthen the diffusion within the plaintext image, which is achieved by decomposing the diffused image into eight-bit planes and implementing XOR operations with corresponding bit planes that are extracted from the key image. After that, the discrete wavelet transform (DWT) is employed to develop secondary keys. The DWT frequency sub-band (high-frequency sub-band) is substituted using the substitution box process. This creates further diffusion (level 3 diffusion) to make it difficult for an attacker to recover the plaintext image from an encrypted image. Several statistical tests, including mean square error analysis, histogram variance analysis, entropy assessment, peak signal-to-noise ratio evaluation, correlation analysis, key space evaluation, and key sensitivity analysis, demonstrate the effectiveness of the proposed work. The proposed encryption framework achieves significant statistical values, with entropy, correlation, energy, and histogram variance values standing at 7.999, 0.0001, 0.0156, and 6458, respectively. These results contribute to its robustness against cyberattacks. Moreover, the processing time of the proposed encryption framework is less than one second, which makes it more suitable for real-world applications. A detailed comparative analysis with the existing methods based on chaos, DWT, Tribonacci transformation (TT), and Fibonacci transformation (FT) reveals that the proposed encryption scheme outperforms the existing ones.

Statistical Testing for Protein Equivalence Identifies Core Functional Modules Conserved across 360 Cancer Cell Lines and Presents a General Approach to Investigating Biological Systems.

Quantitative proteomics has enhanced our capability to study protein dynamics and their involvement in disease using various techniques, including statistical testing, to discern the significant differences between conditions. While most focus is on what is different between conditions, exploring similarities can provide valuable insights. However, exploring similarities directly from the analyte level, such as proteins, genes, or metabolites, is not a standard practice and is not widely adopted. In this study, we propose a statistical framework called QuEStVar (Quantitative Exploration of Stability and Variability through statistical hypothesis testing), enabling the exploration of quantitative stability and variability of features with a combined statistical framework. QuEStVar utilizes differential and equivalence testing to expand statistical classifications of analytes when comparing conditions. We applied our method to an extensive data set of cancer cell lines and revealed a quantitatively stable core proteome across diverse tissues and cancer subtypes. The functional analysis of this set of proteins highlighted the molecular mechanism of cancer cells to maintain constant conditions of the tumorigenic environment via biological processes, including transcription, translation, and nucleocytoplasmic transport.

Epidemiological characteristics of asthma-COPD overlap, its association with all-cause mortality, and the mediating role of depressive symptoms: evidence from NHANES 2005–2018

BackgroundAsthma-COPD overlap (ACO) is a distinct and intricate respiratory condition that requires specific attention and management. The objective of this cohort study was to examine the epidemiological characteristics of ACO, explore the association between ACO and all-cause mortality, and investigate the potential mediating role of depressive symptoms in this association.MethodsThis retrospective cohort study used data from the National Health and Nutrition Examination Survey (NHANES) 2005–2018 and National Death Index (NDI) 2019. A total of 22,745 participants were included: 705 with ACO, 2352 with asthma-only, 853 with COPD-only, and 18,835 without asthma or COPD. The non-ACO group (N = 22,040) referred to the individuals without ACO. Statistical tests were employed to assess differences in some characteristics between the ACO group and the other groups. Cox proportional hazards models were applied to evaluate the relationship between ACO and all-cause mortality, estimating hazard ratios (HR) with 95% confidence intervals. Mediation analysis was conducted to investigate the potential mediating effects of depressive symptoms on the association of ACO with all-cause mortality.ResultsThe prevalence of ACO was 3.10% in our study population. Compared to the non-ACO participants, the ACO participants exhibited significantly different characteristics, including higher age, a lower family income-to-poverty ratio, a higher body mass index, higher rates of comorbidities i.e., hypertension, diabetes, hyperlipidemia, cardiovascular disease, and cancer, poorer dietary habits, and a higher rate of depressive disorders. Compared to the participants without ACO, the participants with ACO exhibited a significant increase in all-cause mortality (HR = 1.908, 95%CI 1.578–1.307, p < 0.001). The proportions mediated by depressive symptoms for ACO -associated all-cause mortality were 8.13% (CI: 4.22%-14.00%, p < 0.001).ConclusionsThis study revealed a strong relationship between ACO and all-cause mortality and uncovered a potential psychological mechanism underlying this relationship. Our study indicates the possible necessity of offering comprehensive care to ACO patients, encompassing early detection, lifestyle guidance, and mental health support. Nevertheless, due to the limitations in the study design and the dataset, the results should be interpreted with caution.

Process Capability Evaluation Using Capability Indices as a Part of Statistical Process Control

This study aims to highlight the importance of a systematic approach to process capability assessment and the importance of following a sequence of steps. Statistical process control provides several different ways of assessing process capability. This study evaluates the process capability of crown cap manufacturing through capability indices. In addition to calculating the indices, the evaluation involves extensive data analysis. Before calculating the capability indices, the assumptions for their correct selection and use were also verified. Several statistical tests were used to verify each assumption. The research value of the study lies in pointing out that not all tests led to the same conclusions. It highlights the importance of selecting the appropriate test type for the evaluated process quality characteristics.

Exploring innovative food in a developing country: Edible insects as a sustainable option

Abstract Today's consumers are becoming more aware of what they eat and the benefits that a healthy diet can provide. Edible insects (EIs) have recently been proposed as a sustainable, protein-rich alternative food source. Consumers' adoption of insects as part of their diet may be influenced by their awareness of this source of food. In this context, the current study investigated the level of knowledge about EI in a developing country, with the goal of understanding how Lebanese people perceive EI as food, as well as whether there are any sociodemographic or socioeconomic differences in their knowledge and motivation to accept EI as food. This was a cross-sectional study conducted using a questionnaire survey of 357 Lebanese participants. Basic descriptive statistics were employed to analyze the data, which were supplemented with statistical tests such as ANOVA for comparisons between three or more groups with post hoc to examine any group differences and Cronbach's alpha to assess internal scale reliability. The search for differences according to sociodemographic and socioeconomic characteristics showed significant differences between age groups and levels of education. Additionally, the results showed that the items used to assess the EI dimensions scale have a very high internal consistency, with the lowest being nutritional aspects (α = 0.669) and the highest being health effects (α = 0.797). This work is relevant because it highlights the EI food dimensions that influence people’s acceptance in Lebanon, which is facing social and economic crises while highlighting many age inequalities and education level differences. Based on the findings, individual EI dimensions were discovered, allowing for strategies deployment to effectively improve knowledge and eventually respond to a Sustainable Development Goal objective even in a nation where this is not a traditional practice.

Virtual Reality Applied to Heritage in Higher Education—Validation of a Questionnaire to Evaluate Usability, Learning, and Emotions

Cultural heritage is one of the areas where Extended Reality is having a significant impact nowadays. Although often associated with entertainment, this technology has enormous educational potential when applied to heritage. Therefore, it is essential to implement monitoring tools in educational practice to assess its actual effectiveness. This article presents the process of generating and validating a statistical data collection instrument developed to evaluate a virtual reality experience created using the archaeological heritage of the ancient Roman city of Augusta Emerita (Mérida, Spain). It can be easily adapted to evaluate similar experiences. The aim is to gauge the effectiveness of these experiences as a didactic resource. The questionnaire was subjected to an evaluation of its three dimensions. Content validity was analyzed through expert judgments, while applicability was tested by students. Finally, a series of statistical tests were conducted to verify construct reliability and internal consistency. Based on the results obtained and cross-referenced with the data provided by the literature, the suitability of this tool for collecting data on usability, learning, and emotions in virtual reality experiences is confirmed.

Aerobic training as an approach to increasing VO2max in amateur football athletes

Background Problems: Lack of variety in aerobic exercise can cause boredom and reduce motivation to increase VO2max. Research Objectives: This study aims to assess how much influence aerobic exercise has on increasing VO2max in amateur football athletes. This involves regularly monitoring and measuring changes in VO2max levels over time. Methods: This research used a pre-experimental method; the design used was a one-group pretest and posttest design. The study used total sampling to select a population and sample of 30 amateur athletes. The instrument used was the 15-minute balke test to determine the athlete's VO2max capacity. The method used aerobic training with a 400-metre run. The data analysis technique used descriptive statistical tests, and prerequisite tests were normality, homogeneity, and hypothesis testing using the t-test with the SPSS version 26 program. Findings and Results: The analysis of the data reveals a notable improvement in VO2max following aerobic exercise. The average VO2max value increased from 55.38 during the pretest to 70.70 in the posttest phase. This increase was substantiated by the t-test results, where the calculated t-value was 10.36. Consequently, this indicates a significant enhancement in VO2max post-exercise. Conclusion: Aerobic exercise has a crucial role in increasing VO2max in amateur football athletes. Good cardiorespiratory conditioning can help improve their endurance, performance, and recovery during training and competition.

Analysing the intrinsic multifractal nature of seismic sequences distributed along the Pacific Ring of Fire

Abstract A multifractal methodology was utilized to analyze a set of seismic sequences distributed along the Pacific Ring of Fire, sourced from the National Earthquake Information Center (NEIC) catalog. The analysis employed the Multifractal Detrended Moving Average Analysis (MFDMA) method to characterize \textbf{the presence of intrinsic multifractality using different multifractal indicators}. The findings of this study can be summarized as follows: \textbf{our statistical tests confidently assert that only the Kuriles, Peru, and Solomon Islands zones demonstrate an absence of intrinsic multifractality; tests were also applied using the exponent $b_{RG}$, but they were inconclusive.} We believe these results contribute to an enhanced understanding of the multifractal characteristics of seismic activity and their implications for earthquake dynamics.

Anomaly Detection in Weather Phenomena: News and Numerical Data-Driven Insights into the Climate Change in Romania’s Historical Regions

The extreme phenomena have been increased recently in frequency and intensity causing numerous damage that cannot be neglected by residents, local authorities and social media. More European countries are experiencing a growing number of occurrences, such as floods, powerful winds, storms, icing, and unusual temperature fluctuations. Particularly, the year 2023 has recorded the highest temperatures in the history of humanity. In this research, we compile a dataset that combines news reports with numerical data pertaining to weather conditions and air quality at the historical region level in Romania. We examine the news and recorded data spanning the years from 2009 to 2023 using anomaly detection and clustering techniques to compare the results. Specifically, we employ Isolation Forest and Autoencoders to identify anomalies within the data that are further clustered to analyse the detection process. We explore the occurrence frequency and duration of daily simultaneous extreme weather events over the years, conducting statistical tests like the Mann–Kendall test to discern trends in the extreme phenomena. The findings reveal statistically significant increasing trends in the incidence of heatwaves, storms and floods. When we set the Mean Squared Error (MSE) threshold to 95%, both methods detect nearly 16% of the anomalies, and this figure rises to over 25% when the MSE threshold is set to 90%. An analysis of anomalies at the regional level indicates that most anomalies are detected in the Transylvania and Muntenia regions, while the Banat region experiences the lowest level of anomalies.

The Effect Of The Comparison Of Binders In The Manufacture Of Carp Rolade (Cyprinus Carpio) On The Physical Properties And Consumer Acceptability

This research aims to analyze the effect of binder ratio in the making of carp fish roulade on the physical properties and consumer acceptance. The research was conducted at the Food Processing Laboratory, Department of Culinary Education, Universitas Negeri Jakarta. The research period began in August 2023 and ended in June 2024. The method used in this research was experimental. The research sample used grass carp roulade with a binder ratio between tapioca flour and wheat flour at 1:1, 2:1, and 1:2. The samples were then tested on 30 moderately trained panelists who evaluated overall aspects. Based on the results of statistical hypothesis testing using the Friedman test, it was found that there was no influence of binder ratio on the acceptance of carp fish roulade at ratios of 1:1, 2:1, and 1:2 in terms of skin color before and after frying, filling color before and after frying, fish aroma, spice aroma, taste, and structural compactness. However, one aspect that had an influence was the level of tenderness. Based on the results of statistical hypothesis testing, physical testing using the Kruskal-Wallis test showed that the binder ratio had no significant influence on the physical quality of grass carp roulade in terms of hardness level. The conclusion of this study is that the acceptance of carp fish roulade is recommended at a binder ratio of 1:1 between tapioca flour and wheat flour.

THE RELATIONSHIP OF BALANCED NUTRITIONAL BEHAVIOR WITH THE NUTRITIONAL STATUS OF ADOLESCENTS

Background: Adolescents with poor nutritional status will have an impact on low intelligence, productivity and body immunity, while higher nutritional status can cause an increased risk of non-communicable diseases. Research Method: This research is an analytical research with a cross sectional research design. The research uses primary data, namely data collected by the researcher himself in the form of data on general characteristics, balanced nutritional behavior and nutritional status of adolescents. The research also used secondary data from IKesT Muhammadiyah Palembang for the number of undergraduate students in Nutrition at IkesT Muhammadiyah Palembang. Results: Based on the results of statistical tests, it shows that there is a relationship between balanced nutritional behavior and adolescent nutritional status (p value = 0.000). The level of strength of the relationship is strong with a correlation coefficient value of 0.597. The variable relationship is unidirectional, which means that the better the balanced nutritional behavior, the better the nutritional status. Conclusion: The results of the study show that there is a relationship between balanced nutritional behavior and adolescent nutritional status, p-value 0.000 &lt; 0.05. Balanced nutritional behavior can help teenagers maintain normal nutritional status and prevent nutritional problems