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Enda Silvia Putri

Bio: Enda Silvia Putri is an academic researcher. The author has contributed to research in topics: Population & Diabetes mellitus. The author has an hindex of 3, co-authored 6 publications receiving 116 citations.

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Journal ArticleDOI
TL;DR: The conclusion of research was that the diet control and exercise menu models were able to influence the decrease in blood sugar levels and body weight in the prediabetes group, group a had a more significant effect because of jogging so that more calories burned.
Abstract: Prediabetes was a condition where a person has abnormal blood sugar levels but was not yet categorized as diabetes (140-199 mg / dl). The increased incidence of prediabetes affects the increasing number of cases of diabetes, unhealthy diet and irregular exercise models are factors that cause weight problems and blood sugar levels that increase cases of prediabetes to have an impact on diabetes cases. The research purpose was the effect of diet menus and exercise models on reducing blood sugar levels and body weight in the prediabetes group. The method research was the analytical method with the design of quasi-experimental, the population was 20 people, and the sample was total population or sample of 20 people by dividing 2 groups with different interventions, the technique with accidental sampling, and tool with SPSS 20, the data analyzed with independent t test. The result of research was the influence in group jasmine (diet and exercise menu (jogging)) (P value = 0.001 <α = 0.05), and in group rose (diet and exercise menu (casual walk)) (P value = 0.004 <α = 0.05) to reduce blood sugar levels and body weight. The conclusion of research was that the diet control and exercise menu models were able to influence the decrease in blood sugar levels and body weight in the prediabetes group, group a had a more significant effect because of jogging so that more calories burned.

93 citations

Journal ArticleDOI
TL;DR: The results after a deeper study of the three variables have an influence on the nutritional status of children under five namely Knowledge, income level, and socio-cultural influence suggest health workers should be more active in delivering information about the importance of the nutritional Status ofChildren under five.
Abstract: Toddler Nutrition Status Is a state of balance or manifestation of nutrition in the form of certain variables. The high incidence of malnutrition in Suka Makmue Subdistrict is centered as the main target in improving nutrition. The objective is to analyze the Knowledge Study of Income and Social Culture Level of Toddler Nutrition status in Blang Muling Village, Suka Makmue Subdistrict, Nagan Raya Regency. This type of research is Analytical Surveys with cross-sectional approach. The total number of samples is 33 mothers of toddlers. Univariate and Bivariate analyzes were further tested with Chi Square. The results after a deeper study of the three variables have an influence on the nutritional status of children under five namely Knowledge (Pvalue 0,000 <α 0.05), income level (Pvalue 0.001 <α 0.05), and socio-cultural (Pvalue 0.003 <α 0.05) . Suggestion Health workers should be more active in delivering information about the importance of the nutritional status of children under five.

14 citations

Journal ArticleDOI
TL;DR: The HB level of pregnant women who consume enough animal protein is more normal than pregnant women with a p value of 0.022, which shows that there was a significant relationship between the consumption of animal protein intake and hemoglobin levels in pregnant women.
Abstract: Adequacy of nutrition is needed by a person from the womb to adulthood. Pregnant women are one of the groups of people who are prone to malnutrition. One of the nutritional problems in pregnant women is iron anemia (Fe). Pregnant women are said to be anemic if their Hb level is <11 g / dl, anemia can also occur due to an increased need for a person's body, for example during menstruation, pregnancy and childbirth, while the iron that enters is only a little, it is highly recommended to consume food that comes from animal protein such as fish. , meat, eggs and milk. Objective: to examine the relationship between the adequacy of animal protein consumption on hemoglobin (Hb) levels of pregnant women in Johan Pahlawan District, West Aceh Regency. Methods: This study is a quantitative study with a cross sectional design. The population in this study were all pregnant women in the second and third trimesters who were recorded at Puskesmas Johan Pahlawan and Suak Ribee, West Aceh district in February 2020, totaling 165 people, the sampling technique used the purposive sampling method using the Slovin formula with a sample of 62 people. The results showed that there was a significant relationship between the consumption of animal protein intake and hemoglobin levels in pregnant women with a p value = 0.022. In conclusion, the HB level of pregnant women who consume enough animal protein is more normal than pregnant women who do not consume enough animal proteinAdequacy of nutrition is needed by a person from the womb to adulthood. Pregnant women are one of the groups of people who are prone to malnutrition. One of the nutritional problems in pregnant women is iron anemia (Fe). Pregnant women are said to be anemic if their Hb level is <11 g / dl, anemia can also occur due to an increased need for a person's body, for example during menstruation, pregnancy and childbirth, while the iron that enters is only a little, it is highly recommended to consume food that comes from animal protein such as fish. , meat, eggs and milk. Objective: to examine the relationship between the adequacy of animal protein consumption on hemoglobin (Hb) levels of pregnant women in Johan Pahlawan District, West Aceh Regency. Methods: This study is a quantitative study with a cross sectional design. The population in this study were all pregnant women in the second and third trimesters who were recorded at Puskesmas Johan Pahlawan and Suak Ribee, West Aceh district in February 2020, totaling 165 people, the sampling technique used the purposive sampling method using the Slovin formula with a sample of 62 people. The results showed that there was a significant relationship between the consumption of animal protein intake and hemoglobin levels in pregnant women with a p value = 0.022. In conclusion, the HB level of pregnant women who consume enough animal protein is more normal than pregnant women who do not consume enough animal protein

9 citations

Journal ArticleDOI
06 Apr 2021
TL;DR: There was an effect of genetics and lifestyle on the incidence of hypertension as evidenced by the value of P. value <α = 0.05, and the PUSKESMAS to increase motivation in the community by suggesting consuming healthy foods, exercising regularly, to achieve the expected healthy life.
Abstract: Hypertension is an excessively raised blood pressure condition that can cause serious health complications and increase the risk of heart disease, stroke, and sometimes death. The problem with hypertension cases has experienced a significant fluctuation from 2014 as many as 95 cases, increasing in 2015 to 105 cases. The survey results show that hypertension that occurs in the community is caused by family history and does not pay attention to the type of food eaten. Hypertension in the community at the Meureubo Community Health Center, Meureubo District, West Aceh Regency. This study was an analytical survey with a cross-sectional design which was conducted in December 2016 with a sample of 51 people, analyzed using univariate and bivariate, then tested with chi-square. The results showed that there was an effect of genetics and lifestyle on the incidence of hypertension as evidenced by the value of P. value <α = 0.05. For the PUSKESMAS to increase motivation in the community by suggesting consuming healthy foods, exercising regularly, to achieve the expected healthy life.

3 citations

Journal ArticleDOI
30 Jan 2020
TL;DR: It was showed that the most dominant factor that influenced the incidence of kidney failure complications in DM type II patients was hypertension at the Population Attributable Risk of 91%.
Abstract: Diabetes complication of kidney failure begins with poor control of High-Density Lipoprotein (HDL) levels causing constriction of efferent arterioles affecting microalbuminuria, which triggers hypertension due to damage to blood vessels, with scarring in the filtration system of the central part of the kidneys. The Objective of the research was to analyze the influence of hypertension and HDL on the diabetic nephropathy patients. The study was an observational analytic study with a case-control design. The research sample consisted of 32 sample cases of patients with type II DM complications of kidney failure, and 32 control samples were DM type II patients without complications of kidney failure in dr. Pirngadi Hospital, Medan with accidental sampling technique. Data were generated by using questionnaires and medical records and analyzed by using the chi-square test, independent t-test, Mann-Whitney, and multivariate logistic regression to identify the effect of HDL and hypertension with DM type II complications of kidney failure. The Result of multivariate analysis showed hypertension OR; 17.845, and HDL OR; 7.049. The Conclusion showed that the most dominant factor that influenced the incidence of kidney failure complications in DM type II patients was hypertension at the Population Attributable Risk of 91%.

2 citations


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TL;DR: The leading annually updated general medical text -- the most comprehensive, reliable, and timely reference available-- Answers common questions in everyday clinical practice.

318 citations

Journal ArticleDOI
27 Feb 2020-PLOS ONE
TL;DR: The educational system outlined establishes a basis for the potential role of integrating artificial intelligence and virtual reality simulation into surgical educational teaching, and creates a novel educational tool by integrating these three components into a formative educational paradigm.
Abstract: Simulation-based training is increasingly being used for assessment and training of psychomotor skills involved in medicine. The application of artificial intelligence and machine learning technologies has provided new methodologies to utilize large amounts of data for educational purposes. A significant criticism of the use of artificial intelligence in education has been a lack of transparency in the algorithms’ decision-making processes. This study aims to 1) introduce a new framework using explainable artificial intelligence for simulation-based training in surgery, and 2) validate the framework by creating the Virtual Operative Assistant, an automated educational feedback platform. Twenty-eight skilled participants (14 staff neurosurgeons, 4 fellows, 10 PGY 4–6 residents) and 22 novice participants (10 PGY 1–3 residents, 12 medical students) took part in this study. Participants performed a virtual reality subpial brain tumor resection task on the NeuroVR simulator using a simulated ultrasonic aspirator and bipolar. Metrics of performance were developed, and leave-one-out cross validation was employed to train and validate a support vector machine in Matlab. The classifier was combined with a unique educational system to build the Virtual Operative Assistant which provides users with automated feedback on their metric performance with regards to expert proficiency performance benchmarks. The Virtual Operative Assistant successfully classified skilled and novice participants using 4 metrics with an accuracy, specificity and sensitivity of 92, 82 and 100%, respectively. A 2-step feedback system was developed to provide participants with an immediate visual representation of their standing related to expert proficiency performance benchmarks. The educational system outlined establishes a basis for the potential role of integrating artificial intelligence and virtual reality simulation into surgical educational teaching. The potential of linking expertise classification, objective feedback based on proficiency benchmarks, and instructor input creates a novel educational tool by integrating these three components into a formative educational paradigm.

101 citations

Journal ArticleDOI
TL;DR: This review considers the major factors defining the interface between surgery, anaesthesia and public health in low-income and middle-income countries with the greatest burden and needs.
Abstract: ‘Global surgery’ is the term adopted to describe a rapidly developing multidisciplinary field aiming to provide improved and equitable surgical care across international health systems. Sitting at the interface between numerous clinical and non-clinical specialisms, it encompasses multiple aspects that surround the treatment of surgical disease and its equitable provision across health systems globally. From defining the role of, and need for, optimal surgical care through to identifying barriers and implementing improvement, global surgery has an expansive remit. Advocacy, education, research and clinical components can all involve surgeons, anaesthetists, nurses and allied healthcare professionals working together with non-clinicians, including policy makers, epidemiologists and economists. Long neglected as a topic within the global and public health arenas, an increasing awareness of the extreme disparities internationally has driven greater engagement. Not necessarily restricted to specific diseases, populations or geographical regions, these disparities have led to a particular focus on surgical care in low-income and middle-income countries with the greatest burden and needs. This review considers the major factors defining the interface between surgery, anaesthesia and public health in these settings.

65 citations

Journal ArticleDOI
TL;DR: The use of direct electrical stimulation of the brain for the clinical treatment of disorders such as epilepsy and Parkinson's disease has been studied in this paper, where the authors discuss the advantages and opportunities, as well as the barriers and challenges presented by using DES in an ECoG-BCI.
Abstract: Electrocorticographic brain computer interfaces (ECoG-BCIs) offer tremendous opportunities for restoring function in individuals suffering from neurological damage and for advancing basic neuroscience knowledge. ECoG electrodes are already commonly used clinically for monitoring epilepsy and have greater spatial specificity in recording neuronal activity than techniques such as electroencephalography (EEG). Much work to date in the field has focused on using ECoG signals recorded from cortex as control outputs for driving end effectors. An equally important but less explored application of an ECoG-BCI is directing input into cortex using ECoG electrodes for direct electrical stimulation (DES). Combining DES with ECoG recording enables a truly bidirectional BCI, where information is both read from and written to the brain. We discuss the advantages and opportunities, as well as the barriers and challenges presented by using DES in an ECoG-BCI. In this article, we review ECoG electrodes, the physics and physiology of DES, and the use of electrical stimulation of the brain for the clinical treatment of disorders such as epilepsy and Parkinson's disease. We briefly discuss some of the translational, regulatory, financial, and ethical concerns regarding ECoG-BCIs. Next, we describe the use of ECoG-based DES for providing sensory feedback and for probing and modifying cortical connectivity. We explore future directions, which may draw on invasive animal studies with penetrating and surface electrodes as well as non-invasive stimulation methods such as transcranial magnetic stimulation (TMS). We conclude by describing enabling technologies, such as smaller ECoG electrodes for more precise targeting of cortical areas, signal processing strategies for simultaneous stimulation and recording, and computational modeling and algorithms for tailoring stimulation to each individual brain.

50 citations

Journal ArticleDOI
TL;DR: This review focusses on the different building blocks necessary for a neurochemical, closed-loop neuromodulation system including biomarkers, sensors and data processing algorithms and highlights the merits and drawbacks of using this biomarker modality.
Abstract: Closed-loop or intelligent neuromodulation allows adjustable, personalized neuromodulation which usually incorporates the recording of a biomarker, followed by implementation of an algorithm which decides the timing (when?) and strength (how much?) of stimulation. Closed-loop neuromodulation has been shown to have greater benefits compared to open-loop neuromodulation, particularly for therapeutic applications such as pharmacoresistant epilepsy, movement disorders and potentially for psychological disorders such as depression or drug addiction. However, an important aspect of the technique is selection of an appropriate, preferably neural biomarker. Neurochemical sensing can provide high resolution biomarker monitoring for various neurological disorders as well as offer deeper insight into neurological mechanisms. The chemicals of interest being measured, could be ions such as potassium (K+), sodium (Na+), calcium (Ca2+), chloride (Cl-), hydrogen (H+) or neurotransmitters such as dopamine, serotonin and glutamate. This review focusses on the different building blocks necessary for a neurochemical, closed-loop neuromodulation system including biomarkers, sensors and data processing algorithms. Furthermore, it also highlights the merits and drawbacks of using this biomarker modality.

38 citations