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Journal of World Future Medicine, Health and Nursing
Published by Yayasan Adra Karima Hubbi
ISSN : 29880459     EISSN : 29887550     DOI : 10.70177/health
Core Subject : Health,
Health Professions Medicine & Pharmacology Nursing Public Health Veterinary
Journal of World Future Medicine, Health and Nursing is a leading international journal focused on the global exchange of knowledge in medicine, health, and nursing, as well as advancing research and practice across health disciplines. The journal provides a forum for articles reporting on original research, systematic and scholarly reviews focused on health science, clinical practice and education from around the world. Journal of World Future Medicine, Health and Nursing publishes national and international research in an attempt to present a reliable and respectable information source for the researchers. Journal of World Future Medicine, Health and Nursing has been published since 2023, published three times a year January, May and September. The articles submitted for publication are subjected to double-blind reviewing process. The journal publishes original articles in English.
Arjuna Subject : Keperawatan - Keperawatan (Lain-Lain)
Articles 94 Documents
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The Effect of Green Tea (Camellia sinensis) on Reducing Cholesterol Levels in Hypercholesterolemic Patients at the Working Area of Pangkajene Sidrap South Sulawesi Community Health Centre Hasliani, Hasliani
Journal of World Future Medicine, Health and Nursing Vol. 2 No. 1 (2024)
Publisher : Yayasan Pendidikan Islam Daarut Thufulah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/health.v2i1.728

Abstract

Cholesterol is a component of fatty acids found in the blood. This substance is needed by the body for certain processes for survival. Among other things to form hormones, cells and maintain nerve cells. The purpose of this study was to determine the effect of giving green tea on reducing cholesterol levels in hypercholesterolemia patients in the Pangkajene Health Center work area. The design of this study was a pre-experiment pretest-posttest one group design. The population in this study were all hypercholesterolemia patients in the Pangkajene Health Center work area with sampling techniques using purposive sampling techniques totaling 15 respondents. This research was conducted on April 15-30, 2023. The results showed that before being given the intervention of giving green tea, most of the respondents' cholesterol levels were in the high category as many as 9 respondents (60%), and the normal category was 7 respondents (46.6%), the conclusion of the study was that there was an effect of giving green tea on reducing cholesterol levels in hypercholesterolemia patients with a p-value = 0.000. Suggestions are expected for people who experience hypercholesterolemia to use green tea as an alternative treatment to lower cholesterol levels.
Analysis of Physical Activity Patterns using Wearable Sensors in the Management of Heart Disease Dewi, Belinda Arbitya; Mukholid, Agus; Ambarwati, Rini; Hermansyah, Hermansyah; Vandika, Arnes Yuli
Journal of World Future Medicine, Health and Nursing Vol. 2 No. 2 (2024)
Publisher : Yayasan Pendidikan Islam Daarut Thufulah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/health.v2i2.751

Abstract

Heart disease is one of the leading causes of death worldwide. Adequate physical activity is an important factor in the management of heart disease, but accurately monitoring physical activity can be challenging. The use of wearable sensors offers a potential solution to measure and analyze physical activity patterns more precisely. This study aims to analyze physical activity patterns using wearable sensors in the management of heart disease. As well as to find out whether physical activity using wearable sensors can overcome heart disease. This research method uses a method with a quantitative approach. This study involves participants who suffer from heart disease and use wearable sensors to record their physical activity over a period of time. The physical activity data, including the number of steps, activity intensity, and activity duration, were analyzed using statistical methods and signal processing algorithms to identify activity patterns related to heart conditions. The results of the analysis showed different physical activity patterns between individuals with heart disease and healthy individuals. Individuals with heart disease tend to have lower levels of physical activity and less regular activity patterns. In addition, certain activity patterns, such as long periods of low-intensity activity, are associated with a higher risk for cardiac complications. The implementation of this research is that wearable sensors can be an effective tool in the management of heart disease by enabling accurate monitoring of an individual's physical activity. By analyzing physical activity patterns, we can better understand the relationship between physical activity and heart conditions, allowing for the development of more precise and personalized interventions in the management of heart disease.  
Comparison of the Effectiveness Between Mindfulness Therapy and Cognitive Behavioral Therapy in Treating Anxiety Disorders Cahyono, Intim; Sulaeman, Ridawati; Hanum, Lathifah; karyono, Septin Maisharah; Mubarok, Ahmad Shofi
Journal of World Future Medicine, Health and Nursing Vol. 2 No. 2 (2024)
Publisher : Yayasan Pendidikan Islam Daarut Thufulah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/health.v2i2.756

Abstract

The growing complexity of anxiety disorders, a common mental health problem, significantly affects individuals' quality of life. In an effort to address this disorder, mindfulness therapy and cognitive-behavioral therapy (CBT) have become an increasing focus of research. However, the comparative effectiveness between these two therapeutic approaches is still a matter of debate in the scientific literature. The purpose of this study was to compare the effectiveness of mindfulness therapy and cognitive behavioral therapy in overcoming anxiety disorders. The research method used was a systematic review of relevant empirical studies that have been conducted in this field. Data from these studies were comprehensively analyzed to evaluate the relative effectiveness of the two therapeutic approaches. The results showed that both mindfulness therapy and cognitive behavioral therapy have significant benefits in reducing anxiety disorder symptoms. However, there are differences in the approach and focus of each therapy. Mindfulness therapy emphasizes on self-awareness of thoughts and feelings without judging them, while cognitive-behavioral therapy focuses on changing negative thought patterns and harmful behaviors. In addition, some studies have shown that cognitive-behavioral therapy can provide faster results especially in addressing acute anxiety symptoms, while mindfulness therapy tends to be more effective in the long run. The conclusion of this study is that both mindfulness therapy and cognitive-behavioral therapy can be effective options in treating anxiety disorders, depending on individual needs and preferences. The selection of the appropriate therapy should take into account individual characteristics, the severity of the anxiety disorder, and the treatment context. A combination or integration between the two types of therapy may also be a promising approach in improving treatment outcomes for individuals with anxiety disorders.  
The Role of Big Data Technology in Predicting and Managing the Spread of Infectious Diseases Judijanto, Loso; Hermansyah, Hermansyah; Ningsih, Kori Puspita; Anurogo, Dito; Firdaus, Mohamad
Journal of World Future Medicine, Health and Nursing Vol. 2 No. 2 (2024)
Publisher : Yayasan Pendidikan Islam Daarut Thufulah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/health.v2i2.757

Abstract

The spread of infectious diseases is a global problem that requires effective approaches for prediction and management. In recent years, Big Data technology has become a major concern in the healthcare field due to its ability to quickly collect, store and analyze large and diverse volumes of data. This opens up new opportunities to improve prediction and management of the spread of infectious diseases. This research aims to investigate the role of Big Data technology in predicting and managing the spread of infectious diseases. We want to identify effective methods for using big data to predict disease spread patterns and manage responses to them. The research method used in this research is a qualitative method in the form of literature analysis about the use of Big Data technology in the health sector, case studies of the implementation of Big Data systems to predict the spread of disease. The research results show that Big Data technology can improve predictions of the spread of infectious diseases by integrating data from various sources, including clinical, geographic, demographic and social data. Integrated Big Data systems can provide a better understanding of the factors that influence the spread of disease and enable faster and more effective decision making in responding to outbreaks. The conclusion of this research is that it confirms that Big Data technology has great potential in improving the prediction and management of the spread of infectious diseases. By effectively leveraging big data, we can improve our understanding of the dynamics of disease spread and implement more timely and efficient intervention strategies. Therefore, further investment and development in Big Data technology in the health sector is essential to strengthen capacity to face global health challenges.
Application of Voice Recognition Technology for Early Detection of Respiratory Disorders in Premature Babies Setyorini, Dhiana; Zani, Benny Novico; Rasmita, Dina; Cendekiawan, Khrisna Agung; Vandika, Arnes Yuli
Journal of World Future Medicine, Health and Nursing Vol. 2 No. 2 (2024)
Publisher : Yayasan Pendidikan Islam Daarut Thufulah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/health.v2i2.758

Abstract

Bayi prematur memiliki risiko tinggi mengalami gangguan pernafasan yang berpotensi mengancam nyawa yang dapat berujung pada komplikasi atau permasalahan yang serius atau bahkan kematian jika tidak dideteksi secara tepat waktu. Untuk itu diterapkanlah sebuah teknologi pengenalan suara dagar dapat mengidentifikasi gangguan pernapsan yang terjadi pada bayi premature. Tujuan dari penelitian ini adalah untuk mengembangkan sistem yang dapat mengenali pola suara khas yang terkait dengan gangguan pernafasan pada bayi prematur. Dengan memanfaatkan teknologi ini, diharapkan dapat meningkatkan kemampuan deteksi dini gangguan pernafasan pada bayi prematur, sehingga memungkinkan intervensi medis yang lebih cepat dan tepat. Metode penelitian melibatkan pengumpulan data suara respirasi dari bayi prematur menggunakan mikrofon yang dipasang di sekitar inkubator mereka, diikuti oleh analisis menggunakan teknik pengolahan sinyal digital dan algoritma pembelajaran mesin. Hasil penelitian menunjukkan bahwa sistem yang dikembangkan mampu mengidentifikasi pola suara yang menunjukkan tanda-tanda gangguan pernafasan dengan tingkat akurasi yang tinggi yang di alami oleh bayi permatur. Hal ini didukung oleh data validasi yang menunjukkan bahwa sistem berhasil mendeteksi sebagian besar kasus gangguan pernafasan pada bayi permatur.Kesimpulan dari penelitian ini adalah bahwa teknologi pengenalan suara memiliki potensi besar sebagai alat deteksi dini gangguan pernafasan pada bayi prematur, yang dapat membantu tenaga medis dalam memberikan perawatan yang tepat waktu dan mengurangi risiko komplikasi serius. Dengan demikian, penerapan teknologi ini di lingkungan klinis dapat meningkatkan prognosis dan kelangsungan hidup bayi prematur yang rentan.
The Effect of Structured Physical Exercise on the Quality of Life of Patients with Multiple Sclerosis Minarti, Minarti; Sulistijono, Heru; Mukholid, Agus; Cendekiawan, Khrisna Agung; Runtu, Andro Ruben
Journal of World Future Medicine, Health and Nursing Vol. 2 No. 2 (2024)
Publisher : Yayasan Pendidikan Islam Daarut Thufulah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/health.v2i2.759

Abstract

neurologis kronis yang seringkali menimbulkan penurunan fungsi fisik dan psikologis. Multiple Sclerosis (MS) adalah penyakit autoimun yang memengaruhi sistem saraf pusat, sering menyebabkan penurunan fungsi fisik dan psikologis. Gejala seperti kelemahan otot, kelelahan, dan gangguan kognitif dapat mengganggu aktivitas sehari-hari dan kualitas hidup pasien secara signifikan. Tujuan penelitian ini adalah untuk mengevaluasi apakah latihan fisik terstruktur dapat memperbaiki QoL pada pasien dengan MS. Metode penelitian yang digunakan adalah sebuah studi klinis acak terkontrol. Sejumlah pasien dengan Multiple Sclerosis dibagi secara acak menjadi dua kelompok: kelompok intervensi yang menjalani program latihan fisik terstruktur dan kelompok kontrol yang tidak menjalani program tersebut. Intervensi dilakukan dengan mengawasi dan menyesuaikan latihan fisik sesuai dengan kebutuhan individu pasien, dengan fokus pada peningkatan kekuatan, keseimbangan, dan mobilitas. Hasil penelitian menunjukkan bahwa pasien yang menjalani latihan fisik terstruktur mengalami peningkatan dalam QoL mereka dibandingkan dengan kelompok kontrol. Para peserta menunjukkan peningkatan dalam aspek-aspek seperti kemandirian, mobilitas, kualitas tidur, dan kesejahteraan psikologis. Selain itu, mereka melaporkan pengurangan dalam gejala kelelahan dan depresi. Kesimpulan dari penelitian ini yaitu latihan fisik terstruktur memiliki dampak positif pada QoL pasien dengan Multiple Sclerosis. Intervensi ini tidak hanya meningkatkan fungsi fisik, tetapi juga memberikan manfaat psikologis yang signifikan, meningkatkan rasa percaya diri dan kesejahteraan emosional. Implikasi dari temuan ini adalah pentingnya memasukkan latihan fisik terstruktur sebagai bagian integral dari manajemen MS, membantu pasien untuk mengelola gejala mereka secara efektif dan meningkatkan kualitas hidup mereka secara keseluruhan.
Effect of a Low Carbohydrate Diet on Weight Loss in Obese Patients: Meta-Analysis Buka, Sisilia Prima Yanuaria; Anurogo, Dito; Hasanah, Nur; Sumarauw, Jeane L.I.; Muntasir, Muntasir
Journal of World Future Medicine, Health and Nursing Vol. 2 No. 2 (2024)
Publisher : Yayasan Pendidikan Islam Daarut Thufulah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/health.v2i2.760

Abstract

Obesity is a rapidly increasing global health problem and requires effective intervention strategies. Low-carbohydrate diets have become a major concern in obesity management, but previous studies have provided mixed results. This study aims to conduct a meta-analysis to evaluate the effect of a low-carbohydrate diet on weight loss in obese patients. The research method used in this research is meta analysis. A literature search was conducted through electronic databases for studies that met the inclusion criteria. Data from selected studies were then analyzed using meta-analysis methods to determine the effects of low-carbohydrate diets on weight loss. The results of this study stated that the meta-analysis involved data from 10 studies that met the inclusion criteria. The results showed that a low-carbohydrate diet significantly contributed to weight loss in obese patients. The average weight loss achieved was significantly higher in the group on a low-carbohydrate diet compared to the control group. The conclusion of this study, namely from this meta-analysis, shows that a low-carbohydrate diet is effective in reducing weight in obese patients. The clinical implication of these results is that low-carbohydrate diets may be an effective therapeutic option in the management of obesity. However, further research needs to be done to understand in more depth the long-term effects and safety of this low-carbohydrate diet. Through this research, it is hoped that it can provide a deeper understanding of the effectiveness of a low-carbohydrate diet as an obesity management strategy.
Use of Mobile Applications for Monitoring Adolescent Mental Health Rahayu, Tri Budi; Supriyanti, Supriyanti; Kasim, Jamila; Munazar, Munazar; Vandika, Arnes Yuli
Journal of World Future Medicine, Health and Nursing Vol. 2 No. 2 (2024)
Publisher : Yayasan Pendidikan Islam Daarut Thufulah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/health.v2i2.761

Abstract

Teenage mental health is becoming increasingly important in this modern era. However, the issue of accessibility to mental health services remains a significant obstacle. The use of mobile applications offers a potential solution to improve monitoring and intervention in adolescent mental health. This study aims to explore the effectiveness of using mobile applications in monitoring adolescents' mental health, as well as its impact on their quality of life. This study used a quantitative approach with a survey conducted on a sample of adolescents aged 13-18 years who used a mental health mobile application for six months. Data was collected regarding frequency of app use, changes in levels of anxiety and depression, and user perceptions of the app's benefits. The results of this study show that the use of mobile applications significantly reduces levels of anxiety and depression in adolescents. Additionally, users report improvements in emotion management skills and knowledge about mental health. The majority of respondents also felt comfortable and helped by the application features in managing daily stress. The conclusion of this study explains that using mobile applications for monitoring adolescent mental health has great potential to increase the accessibility and effectiveness of mental health services. This application can be an effective tool in providing support, education and intervention to teenagers in managing their mental health problems. Thus, the implementation of mobile applications in the context of adolescent mental health needs to be considered as part of a comprehensive strategy to improve adolescent well-being.
Effects of Probiotic Supplements on Adolescent Mental Health Setianto, Rony; Tulandi, Selvana Stien; Ambarwati, Rini; Halimatussakdiah, Halimatussakdiah; Muntasir, Muntasir
Journal of World Future Medicine, Health and Nursing Vol. 2 No. 2 (2024)
Publisher : Yayasan Pendidikan Islam Daarut Thufulah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/health.v2i2.762

Abstract

Adolescent mental health is an important issue that needs serious attention, considering its impact on the quality of life in the future. Recently, attention to the relationship between mental health and gut bacteria (gut microbiota) has increased. Probiotic supplements have been identified as one possible way to improve adolescent mental health through their influence on the gut microbiota. This study aimed to explore the effects of probiotic supplements on adolescent mental health, focusing on symptoms of anxiety, depression and stress. The research was conducted using a randomized controlled experimental design, with adolescent participants aged between 13-18 years. Participants were divided into two groups, where one group received probiotic supplements during the study period, while the control group received a placebo. Internationally recognized scales were used to measure symptoms of anxiety, depression, and stress before and after the intervention. The results showed that adolescents who received probiotic supplements experienced a significant reduction in symptoms of anxiety and depression compared to the control group. In addition, stress levels also showed a significant reduction in the group receiving probiotic supplements. The implementation of this study provides promising initial evidence of the positive effects of probiotic supplementation on adolescent mental health. With this research, the application of probiotic supplements as a mental health intervention in adolescents becomes an attractive alternative. However, further research is needed to understand the mechanisms underlying the relationship between probiotic supplements and adolescent mental health and to determine the most effective dosages and formulations.
Effect of Light Therapy on Reducing Depressive Symptoms in Seasonal Affective Disorder Sufferers Riniati, Wa Ode; Supriyanti, Supriyanti; Guilin, Xie; Jiao, Deng; Anripa, Nuralfin
Journal of World Future Medicine, Health and Nursing Vol. 2 No. 2 (2024)
Publisher : Yayasan Pendidikan Islam Daarut Thufulah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/health.v2i2.793

Abstract

Seasonal Affective Disorder (SAD) is a mental disorder related to seasonal changes that occur during winter due to lack of exposure to sunlight. Light therapy has become a focus in treating depressive symptoms in sufferers of Seasonal Affective Disorder. However, more in-depth research is still needed to clarify the effect of light therapy in reducing symptoms of depression in sufferers of Seasonal Affective Disorder. This study aims to explore the effect of light therapy on reducing depressive symptoms in sufferers of Seasonal Affective Disorder and to provide scientific evidence that can support the use of light therapy as an effective treatment method. This research method uses a randomized controlled clinical study design involving adult participants who have been diagnosed with Seasonal Affective Disorder. Participants were divided into two groups, one group received light therapy for a certain period of time, while the control group received usual treatment. Depressive symptoms were evaluated before, during, and after the intervention using proven rating scales. The results showed that participants who received light therapy experienced a significant reduction in depressive symptoms compared to the control group. Light therapy has consistently been shown to improve mood and energy and reduce symptoms of depression in people with Seasonal Affective Disorder. The conclusion of this study shows that light therapy has a positive influence in reducing symptoms of depression in sufferers of Seasonal Affective Disorder. The use of light therapy as a non-pharmacological intervention can be an effective and relatively safe therapeutic option to reduce the impact of Seasonal Affective Disorder on an individual's well-being. Thus, light therapy can be integrated as part of the treatment for sufferers of Seasonal Affective Disorder.

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