{"title":"The Increasing Vulnerability of African Youths to Mental Health Disorders: Risk Factors, Advocacy and Recommendations","authors":"Fidelis Ikechukwu Edeh, A. R. Olamide","doi":"10.55691/2278-344x.1051","DOIUrl":"https://doi.org/10.55691/2278-344x.1051","url":null,"abstract":"","PeriodicalId":54094,"journal":{"name":"International Journal of Health and Allied Sciences","volume":"53 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139277447","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Background : Trapa Natans commonly known as Singhara or Paniphal in India. It is also known as Water Chestnut or Water Caltrops. It grows throughout the East of India such as in West Bengal, Jharkhand, and Bihar. Especially in Bihar, it is widely cultivated in Darbanga, Madhubani and Samasthipur district. Nuts are the edible part of the singhara and can be eaten boiled or sometimes roasted. Dried water chestnuts can be ground into fl our to make a kind of porridge. Young nuts can be eaten raw with its greenish skin removed. Method : An extensive literature survey was conducted using databases PubMed, ScienceDirect, Google Scholar. Articles were searched using terms related to ‘ Singhara ’ , ‘ Water Chestnut ’ , ‘ Bene fi ts of Singhara ’ . Total 20 articles were reviewed in order to write this review paper. The studies involving Bene fi ts of Singhara on Health were included in this article. Result : The Singhara shell and core are rich in starch, dietary fi ber, essential amino acids, certain types of phenols and minerals and have demonstrated various biological activities, including anticancer and antioxidant properties. Singhara contains several antioxidants that can reduce the risk of multiple chronic diseases and conditions. Other health bene fi ts may include improve blood pressure, cancer prevention, weight loss and digestive health. Conclusion : Singhara can be considered as safe, powerful plant with multiple medicinal and nutritional bene fi ts.
{"title":"Nutritional and Health Benefits of Singhara – A Review Article.","authors":"Soma Basu, A. J. Hemamalini, H. A. Janardhanam","doi":"10.55691/2278-344x.1060","DOIUrl":"https://doi.org/10.55691/2278-344x.1060","url":null,"abstract":"Background : Trapa Natans commonly known as Singhara or Paniphal in India. It is also known as Water Chestnut or Water Caltrops. It grows throughout the East of India such as in West Bengal, Jharkhand, and Bihar. Especially in Bihar, it is widely cultivated in Darbanga, Madhubani and Samasthipur district. Nuts are the edible part of the singhara and can be eaten boiled or sometimes roasted. Dried water chestnuts can be ground into fl our to make a kind of porridge. Young nuts can be eaten raw with its greenish skin removed. Method : An extensive literature survey was conducted using databases PubMed, ScienceDirect, Google Scholar. Articles were searched using terms related to ‘ Singhara ’ , ‘ Water Chestnut ’ , ‘ Bene fi ts of Singhara ’ . Total 20 articles were reviewed in order to write this review paper. The studies involving Bene fi ts of Singhara on Health were included in this article. Result : The Singhara shell and core are rich in starch, dietary fi ber, essential amino acids, certain types of phenols and minerals and have demonstrated various biological activities, including anticancer and antioxidant properties. Singhara contains several antioxidants that can reduce the risk of multiple chronic diseases and conditions. Other health bene fi ts may include improve blood pressure, cancer prevention, weight loss and digestive health. Conclusion : Singhara can be considered as safe, powerful plant with multiple medicinal and nutritional bene fi ts.","PeriodicalId":54094,"journal":{"name":"International Journal of Health and Allied Sciences","volume":"59 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139276833","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Nagma Firdose, Ranjith Raj, B. S. Gangadharappa, Suresha R N, G. V. Ishika, R. Ramu
{"title":"Effect of selective serotonin reuptake inhibitors on blood glucose in euglycemic and streptozotocin-induced diabetic albino Wistar rats","authors":"Nagma Firdose, Ranjith Raj, B. S. Gangadharappa, Suresha R N, G. V. Ishika, R. Ramu","doi":"10.55691/2278-344x.1057","DOIUrl":"https://doi.org/10.55691/2278-344x.1057","url":null,"abstract":"","PeriodicalId":54094,"journal":{"name":"International Journal of Health and Allied Sciences","volume":"58 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139277169","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Snehalatha Basavaraju, Sushma Pradeep, Sahana K S, Stavelin K Abhinandithe, J. B. Aswathanarayan
{"title":"Discriptive And Multiple Linear Regression Analysis Of Water Quality Parameters Of Vidyaranyapuram Treatment Plant: A Case Study","authors":"Snehalatha Basavaraju, Sushma Pradeep, Sahana K S, Stavelin K Abhinandithe, J. B. Aswathanarayan","doi":"10.55691/2278-344x.1047","DOIUrl":"https://doi.org/10.55691/2278-344x.1047","url":null,"abstract":"","PeriodicalId":54094,"journal":{"name":"International Journal of Health and Allied Sciences","volume":"21 12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139277496","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Risk Assessment in Discharge Process using PFMEA Tool in a Multi-Specialty Hospital","authors":"Shalini, Kanakavalli K Kundury, H. B. Gowdappa","doi":"10.55691/2278-344x.1055","DOIUrl":"https://doi.org/10.55691/2278-344x.1055","url":null,"abstract":"","PeriodicalId":54094,"journal":{"name":"International Journal of Health and Allied Sciences","volume":"59 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139277147","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ali Johnson Onoja, Felix Olaniyi Sanni, Simon Peterside Akogu, Sheila Iye Onoja
Background: The availability of essential medicines is important in preventing maternal and child deaths. This study assessed the availability of essential medicines in healthcare facilities offering maternal and reproductive healthcare services in Nigeria. Method: This study was cross-sectionally designed using structured interviewer-administered survey questions and site inspections. The study was conducted across all States in Nigeria except three states (Borno, Adamawa, and Yobe) that had security challenges. The survey was carried out between May and July 2019. The data were analysed with IBM-SPSS version 25.0. Results: The mean availability of 17 essential medicines was 58.8%. South-East has a very low availability of 49.1%, North East, South West, and South-South had availability below 60% whereas North-West (71.8%) and North-central (60.2%) had higher availability (p
{"title":"Availability of Essential Medicines in Healthcare Facilities Offering Maternal and Reproductive Healthcare Services in Nigeria","authors":"Ali Johnson Onoja, Felix Olaniyi Sanni, Simon Peterside Akogu, Sheila Iye Onoja","doi":"10.55691/2278-344x.1053","DOIUrl":"https://doi.org/10.55691/2278-344x.1053","url":null,"abstract":"Background: The availability of essential medicines is important in preventing maternal and child deaths. This study assessed the availability of essential medicines in healthcare facilities offering maternal and reproductive healthcare services in Nigeria. Method: This study was cross-sectionally designed using structured interviewer-administered survey questions and site inspections. The study was conducted across all States in Nigeria except three states (Borno, Adamawa, and Yobe) that had security challenges. The survey was carried out between May and July 2019. The data were analysed with IBM-SPSS version 25.0. Results: The mean availability of 17 essential medicines was 58.8%. South-East has a very low availability of 49.1%, North East, South West, and South-South had availability below 60% whereas North-West (71.8%) and North-central (60.2%) had higher availability (p","PeriodicalId":54094,"journal":{"name":"International Journal of Health and Allied Sciences","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135425295","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
For decades, cancer has been a major public health concern worldwide owing to its high mortality rate. Many therapeutic strategies have come up in the scientific world, but it's pitiful to know that synthetic chemotherapeutic agents either cause adverse effects or cancer cells develop resistance to these agents. Plant-derived chemotherapeutic agents present a wide range of therapeutics and most are yet to be discovered. In the current review, we have discussed the tumoricidal properties of Mucuna pruriens (seed), Withania coagulans (berry), Anacyclus pyrethrum (rhizome), Arachis hypogea (leaf), Rhizaoma polygoni (root) and Terminalia chebula (fruit). We have also tried to summarize the latest research in cancer chemoprevention and treatment using the bioactive components from these natural plants. Pharmaceutical developmental challenges and opportunities in bringing the phytochemicals into the market are also explored. The authors wish to expand this research area not only for their scientific soundness, but also for their potential-yet-affordable druggability.
{"title":"Plant Derived Bioactive Compounds, Their Anti-Cancer Effects as an Alternative Target Treatment Strategy for Breast Cancer: An Updated Overview","authors":"Pruthvish Reddy, Sushma Pradeep, S.M. Gopinath, Shiva Prasad Kollur, Chandan Shivamallu","doi":"10.55691/2278-344x.1042","DOIUrl":"https://doi.org/10.55691/2278-344x.1042","url":null,"abstract":"For decades, cancer has been a major public health concern worldwide owing to its high mortality rate. Many therapeutic strategies have come up in the scientific world, but it's pitiful to know that synthetic chemotherapeutic agents either cause adverse effects or cancer cells develop resistance to these agents. Plant-derived chemotherapeutic agents present a wide range of therapeutics and most are yet to be discovered. In the current review, we have discussed the tumoricidal properties of Mucuna pruriens (seed), Withania coagulans (berry), Anacyclus pyrethrum (rhizome), Arachis hypogea (leaf), Rhizaoma polygoni (root) and Terminalia chebula (fruit). We have also tried to summarize the latest research in cancer chemoprevention and treatment using the bioactive components from these natural plants. Pharmaceutical developmental challenges and opportunities in bringing the phytochemicals into the market are also explored. The authors wish to expand this research area not only for their scientific soundness, but also for their potential-yet-affordable druggability.","PeriodicalId":54094,"journal":{"name":"International Journal of Health and Allied Sciences","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135425464","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
K S Sahana, C B Karthik, Mounika M Sree, M Chaithra, Stavelin K Abhinandithe, B Snehalatha, R Sridhar, S Balasubramanian, B Madhu
GeoAI is a new emerging research area that refers to set of technologies that integrate AI technology with a diversity of GIS (Geographic Information System) techniques. The present study observed that GeoAI goes beyond current GIS expectations and into the domain of possibility in the not-too-distant future. This emerging interdisciplinary science will lead us to sustainable decisions and explore the most suitable solutions to the existing problems. GeoAI has the potential to transform current geography and geomatics programs by incorporating a GeoAI dimension into modern GIS curricula. In this review, we have studied the application GeoAI in various healthcare fields. GeoAI has the potential to revolutionize healthcare, public health, infectious disease control, disaster aid, and the achievements of Sustainable Development Goals (SDG). in healthcare, GeoAI can help with disease diagnosis, treatment planning, and resource allocation. In public health, it can aid in disease surveillance, emergency response planning, and identifying health disparities. In infectious disease control, GeoAI can help predict and track disease outbreaks and support vaccination campaigns. In disaster aid, GeoAI can provide real time data on environmental hazards and their impact on public health. In achieving Sustainable Development Goals, it can support in land use planning, urban development, and resource allocation to promote health and environmental sustainability. Overall GeoAI has the potential to transform multiple sectors and improve the well-being of populations worldwide.
{"title":"Geospatial Artificial Intelligence (GeoAI): Applications in Health Care","authors":"K S Sahana, C B Karthik, Mounika M Sree, M Chaithra, Stavelin K Abhinandithe, B Snehalatha, R Sridhar, S Balasubramanian, B Madhu","doi":"10.55691/2278-344x.1044","DOIUrl":"https://doi.org/10.55691/2278-344x.1044","url":null,"abstract":"GeoAI is a new emerging research area that refers to set of technologies that integrate AI technology with a diversity of GIS (Geographic Information System) techniques. The present study observed that GeoAI goes beyond current GIS expectations and into the domain of possibility in the not-too-distant future. This emerging interdisciplinary science will lead us to sustainable decisions and explore the most suitable solutions to the existing problems. GeoAI has the potential to transform current geography and geomatics programs by incorporating a GeoAI dimension into modern GIS curricula. In this review, we have studied the application GeoAI in various healthcare fields. GeoAI has the potential to revolutionize healthcare, public health, infectious disease control, disaster aid, and the achievements of Sustainable Development Goals (SDG). in healthcare, GeoAI can help with disease diagnosis, treatment planning, and resource allocation. In public health, it can aid in disease surveillance, emergency response planning, and identifying health disparities. In infectious disease control, GeoAI can help predict and track disease outbreaks and support vaccination campaigns. In disaster aid, GeoAI can provide real time data on environmental hazards and their impact on public health. In achieving Sustainable Development Goals, it can support in land use planning, urban development, and resource allocation to promote health and environmental sustainability. Overall GeoAI has the potential to transform multiple sectors and improve the well-being of populations worldwide.","PeriodicalId":54094,"journal":{"name":"International Journal of Health and Allied Sciences","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135425459","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ravi M B, Prakash P, Sai Pranathi Putta, Anupama Aradya, Rashmi S, Dhakshaini M R
The novel Coronavirus, also known as SARS-CoV-2 (Severe Acute Respiratory Syndrome Coronavirus 2), causes COVID-19.In the wake of COVID-19, incidences of mucormycosis were rising alarmingly, especially rhino-orbital-cerebral mucormycosis.Most cases required surgical intervention followed by the fabrication of obturators.A hollow obturator is the most practical, convenient, and cost-effective solution for prosthodontic rehabilitation. A patient with pain overthe maxillary region (left) reported to the department of Prosthodontics and Crown & Bridge. His past medical history revealed that he tested and recovered from SARS-CoV-2. Clinical, radiographic, and smear tests confirmed rhino-cerebral mucormycosis with post covid pneumonia. Surgical left partial maxillectomy performed 4 months back. His intra-oral examination revealed a large maxillary defect extending from the left-sided alveolar bone, along with a missing base of the maxilla and palatal bone.The case report presents a hollow bulb definitive obturator fabrication for the treatment of acquired maxillary defects after COVID-19-caused mucormycosis.
{"title":"Hollow Bulb Definitive Obturation of a Post-Covid Mucormycosis Maxillectomy Defect – A Case Report.","authors":"Ravi M B, Prakash P, Sai Pranathi Putta, Anupama Aradya, Rashmi S, Dhakshaini M R","doi":"10.55691/2278-344x.1050","DOIUrl":"https://doi.org/10.55691/2278-344x.1050","url":null,"abstract":"The novel Coronavirus, also known as SARS-CoV-2 (Severe Acute Respiratory Syndrome Coronavirus 2), causes COVID-19.In the wake of COVID-19, incidences of mucormycosis were rising alarmingly, especially rhino-orbital-cerebral mucormycosis.Most cases required surgical intervention followed by the fabrication of obturators.A hollow obturator is the most practical, convenient, and cost-effective solution for prosthodontic rehabilitation. A patient with pain overthe maxillary region (left) reported to the department of Prosthodontics and Crown & Bridge. His past medical history revealed that he tested and recovered from SARS-CoV-2. Clinical, radiographic, and smear tests confirmed rhino-cerebral mucormycosis with post covid pneumonia. Surgical left partial maxillectomy performed 4 months back. His intra-oral examination revealed a large maxillary defect extending from the left-sided alveolar bone, along with a missing base of the maxilla and palatal bone.The case report presents a hollow bulb definitive obturator fabrication for the treatment of acquired maxillary defects after COVID-19-caused mucormycosis.","PeriodicalId":54094,"journal":{"name":"International Journal of Health and Allied Sciences","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135425467","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Heart disease is one of the major non-communicable disease and leading cause of mortality in the world. According to WHO heart disease is taking about nearly 17.9 million lives of people each year. Its mortality forecasts indicate a rise in global annual deaths to 20.5 million in 2020 and as high as 24.2 million by 2030. Risk factors are one of the most powerful predictors of heart disease. The study includes modified and non- modified risk factors that contribute to the disease such as Age, Gender, Family history, Hypertension, Diabetics, Obesity, Blood Pressure, Smoking, Alcohol intake, Exercise and Heart rate. Machine learning is one of the most useful techniques that can help researchers, entrepreneurs, and individuals for extracting valuable information from sets of data. The objective of this study is to highlight the utility and application of machine learning techniques for the prediction of heart disease to facilitate experts in the healthcare domain. A total of 336 patients were examined and their personal and medical data were collected in JSS hospital. This prospective study was consisting of 55% patients are free from the heart disease and 45% have heart disease. From the result, it has been determined that males are more likely to develop the heart diseases than females and very common in elderly persons. The accuracy of the Naïve Bayes model is found to be 94%, Obesity plays a vital role in getting the disease followed by hypertension, alcohol intake, smoking, exercise and age has more impact on developing the heart disease.
{"title":"Statistical Machine Learning Algorithm for Predicting the Risk Factors in Heart Disease","authors":"Chaithra N, Shalini H. Doreswamy, Pallavi N","doi":"10.55691/2278-344x.1045","DOIUrl":"https://doi.org/10.55691/2278-344x.1045","url":null,"abstract":"Heart disease is one of the major non-communicable disease and leading cause of mortality in the world. According to WHO heart disease is taking about nearly 17.9 million lives of people each year. Its mortality forecasts indicate a rise in global annual deaths to 20.5 million in 2020 and as high as 24.2 million by 2030. Risk factors are one of the most powerful predictors of heart disease. The study includes modified and non- modified risk factors that contribute to the disease such as Age, Gender, Family history, Hypertension, Diabetics, Obesity, Blood Pressure, Smoking, Alcohol intake, Exercise and Heart rate. Machine learning is one of the most useful techniques that can help researchers, entrepreneurs, and individuals for extracting valuable information from sets of data. The objective of this study is to highlight the utility and application of machine learning techniques for the prediction of heart disease to facilitate experts in the healthcare domain. A total of 336 patients were examined and their personal and medical data were collected in JSS hospital. This prospective study was consisting of 55% patients are free from the heart disease and 45% have heart disease. From the result, it has been determined that males are more likely to develop the heart diseases than females and very common in elderly persons. The accuracy of the Naïve Bayes model is found to be 94%, Obesity plays a vital role in getting the disease followed by hypertension, alcohol intake, smoking, exercise and age has more impact on developing the heart disease.","PeriodicalId":54094,"journal":{"name":"International Journal of Health and Allied Sciences","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135425294","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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