Pub Date : 2021-01-01DOI: 10.54931/2053-4787.29-s1-1
G. Lekšić, M. Baretić, I. Karas, Ž. Krznarić
Until recently, obesity was one of the greatest public health issues. At the moment, the world is counting deaths from COVID-19, and raging obesity pandemic is not in the focus. While the quarantine is the mainstay of COVID-19 prevention, it also opposes obesity prevention. Obesity is a risk factor for severe COVID-19 infection. Treatment of obesity during quarantine is challenging;trying to lose weight without the opportunity for outdoor activity or access to fresh and healthy foods may lead to frustration, depression and overeating. Therefore, we propose that patients should focus on preventing new weight gain instead of losing weight. It can be achieved by practicing indoor physical exercise together with adequate diet. The diet should be opposite from, "Western diet pattern'' and include foods easily obtainable during quarantine;with longer shelf life, but also rich in anti-inflammatory and immune-modulatory bioactive compounds. These characteristics of the diet make it simple to implement during quarantine, it helps in the process maintaing weight and supports immune system-all what is required to possibly reduce the risk of severe COVID-19 infection. The anti-inflammatory properties from given diet have beneficial role, especially in obese patients, as they have low grade chronic inflammation which additionally may worsen clinical course of COVID-19 infection.
{"title":"Preventive measures for obesity pandemic during COVID-19 quarantine; choosing the right diet","authors":"G. Lekšić, M. Baretić, I. Karas, Ž. Krznarić","doi":"10.54931/2053-4787.29-s1-1","DOIUrl":"https://doi.org/10.54931/2053-4787.29-s1-1","url":null,"abstract":"Until recently, obesity was one of the greatest public health issues. At the moment, the world is counting deaths from COVID-19, and raging obesity pandemic is not in the focus. While the quarantine is the mainstay of COVID-19 prevention, it also opposes obesity prevention. Obesity is a risk factor for severe COVID-19 infection. Treatment of obesity during quarantine is challenging;trying to lose weight without the opportunity for outdoor activity or access to fresh and healthy foods may lead to frustration, depression and overeating. Therefore, we propose that patients should focus on preventing new weight gain instead of losing weight. It can be achieved by practicing indoor physical exercise together with adequate diet. The diet should be opposite from, \"Western diet pattern'' and include foods easily obtainable during quarantine;with longer shelf life, but also rich in anti-inflammatory and immune-modulatory bioactive compounds. These characteristics of the diet make it simple to implement during quarantine, it helps in the process maintaing weight and supports immune system-all what is required to possibly reduce the risk of severe COVID-19 infection. The anti-inflammatory properties from given diet have beneficial role, especially in obese patients, as they have low grade chronic inflammation which additionally may worsen clinical course of COVID-19 infection.","PeriodicalId":74927,"journal":{"name":"The African journal of diabetes medicine","volume":"15 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75670654","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}
Pub Date : 2021-01-01DOI: 10.54931/2053-4787.29-1-2
Maja Bareti, Marko Seljan, Fran Bareti
Marketing strategies often use some aspects of human nature balancing among ethics and profit. Sensory marketing is based on “embodied cognition” the concept that bodily sensations help to determine human decisions without conscious awareness. Consumers don’t perceive such messages as marketing and don’t react with the usual resistance. Taste is unique among other sensory systems in its instinctive as sociation with mechanisms of reward and aversion, related to close contact with consumer. The background of obesity is in interaction of genetic, metabolic, behavioural and envi ronmental factors: the rapidity with which obesity increases suggests that behavioural and environmental influences are accelerating the epidemic. Traditionally, “addiction” is ap plied to the abuse of drugs that activate the brain’s reward pathways. There is wider understanding of the term includ ing so-called “behavioural addictions” including compul sive overeating phenomenon. Food addiction is described as loss of control, overconsumption and withdrawal symp toms experienced in relation to highly palatable foods. It is proposed that some foods have the potential for abuse in a manner similar to conventional drug. This article argues a concept of ethic in marketing when classifying obesity as an addiction. If so, sensory marketing targeting food is doing much more harm way than we thought.
{"title":"Is it ethical to use sensory marketing for food products: A perspective regarding sense of taste?","authors":"Maja Bareti, Marko Seljan, Fran Bareti","doi":"10.54931/2053-4787.29-1-2","DOIUrl":"https://doi.org/10.54931/2053-4787.29-1-2","url":null,"abstract":"Marketing strategies often use some aspects of human nature balancing among ethics and profit. Sensory marketing is based on “embodied cognition” the concept that bodily sensations help to determine human decisions without conscious awareness. Consumers don’t perceive such messages as marketing and don’t react with the usual resistance. Taste is unique among other sensory systems in its instinctive as sociation with mechanisms of reward and aversion, related to close contact with consumer. The background of obesity is in interaction of genetic, metabolic, behavioural and envi ronmental factors: the rapidity with which obesity increases suggests that behavioural and environmental influences are accelerating the epidemic. Traditionally, “addiction” is ap plied to the abuse of drugs that activate the brain’s reward pathways. There is wider understanding of the term includ ing so-called “behavioural addictions” including compul sive overeating phenomenon. Food addiction is described as loss of control, overconsumption and withdrawal symp toms experienced in relation to highly palatable foods. It is proposed that some foods have the potential for abuse in a manner similar to conventional drug. This article argues a concept of ethic in marketing when classifying obesity as an addiction. If so, sensory marketing targeting food is doing much more harm way than we thought.","PeriodicalId":74927,"journal":{"name":"The African journal of diabetes medicine","volume":"44 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87887043","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}
Pub Date : 2021-01-01DOI: 10.54931/2053-4787.29-s2-1
Okonkwo C.C., Ihediohanma O.N, Nebuwa C.N, M. A., Anyanwu A.C
{"title":"Diabetic foot ulcer following a rat bite: A case report","authors":"Okonkwo C.C., Ihediohanma O.N, Nebuwa C.N, M. A., Anyanwu A.C","doi":"10.54931/2053-4787.29-s2-1","DOIUrl":"https://doi.org/10.54931/2053-4787.29-s2-1","url":null,"abstract":"","PeriodicalId":74927,"journal":{"name":"The African journal of diabetes medicine","volume":"17 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74630937","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}
Pub Date : 2021-01-01DOI: 10.54931/2053-4787.29-s1-3
D. Nyamai
{"title":"An assessment of quality of care among diabetic adult patients as a guide towards optimum care requirements, a cross sectional study among five health facilities in Kenya","authors":"D. Nyamai","doi":"10.54931/2053-4787.29-s1-3","DOIUrl":"https://doi.org/10.54931/2053-4787.29-s1-3","url":null,"abstract":"","PeriodicalId":74927,"journal":{"name":"The African journal of diabetes medicine","volume":"47 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79152679","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}
Pub Date : 2021-01-01DOI: 10.54931/2053-4787.29-1-4
L. R. Jacobs
{"title":"2nd Annual Summit on Diabetes, Obesity and Heart","authors":"L. R. Jacobs","doi":"10.54931/2053-4787.29-1-4","DOIUrl":"https://doi.org/10.54931/2053-4787.29-1-4","url":null,"abstract":"","PeriodicalId":74927,"journal":{"name":"The African journal of diabetes medicine","volume":"9 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90976199","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}
Pub Date : 2021-01-01DOI: 10.54931/2053-4787.29-s1-2
G. Swamy
Retinal blood vessel and retinal vessel tree segmentation are significant components in disease identification systems. Diabetic retinopathy is found using identifying hemorrhages in blood vessels. The debauched vessel segmentation helps in an image segmentation process to improve the accuracy of the system. This paper uses Edge Enhancement and Edge Detection method for blood vessel extraction. It covers drusen, exudates, vessel contrasts and artifacts. After extracting the blood vessel, the dataset is fed into CNN network called EyeNet for identifying DR infected images. It is observed that EyeNet leads to Sensitivity of about 90.02%, Specificity of about 98.77% and Accuracy of about 96.08%. Department of Electronics and Communication Engineering, Thiagarajar College of Engineering, Madurai, India *Author for correspondence: Email-gananthi@tce.edu Introduction Diabetic Retinopathy is a diabetic complication that affect eye. The automated system was developed for suitable detection of the disease using fundus image and segmentation [1]. The location of anomalies in fovea is being identified and helpful for diagnosis. The detection of retinal parts was carried out as part of the overall device growth, and the results have been published. The method of removing the usual retinal components: blood vessels, fovea, and optic disc, allows for the identification of lesions. There are different techniques explained in for blood vessel extraction namely Edge Enhancement and Edge Detection, Modified Matched Filtering, Continuation Algorithm and Image Line Cross Section. Diabetic retinopathy is a serious eye disorder that can lead to blindness in people of working age [2,3]. A multilayer neural network with three primary color components of the image, namely red, green, and blue as inputs, is used to identify and segment retinal blood vessels. The back propagation algorithm is used, which provides a reliable method for changing the weights in a feed-forward network. Deep convolutional neural networks have recently demonstrated superior image classification efficiency as compared to the feature-extracted image classification methods [4]. Authors proposed morphological processing, thresholding, edge detection, and adaptive histogram equalization to segment and extract blood vessels from retinal images [5].
{"title":"Identification of diabetic retinopathy using deep learning algorithm and blood vessel extraction","authors":"G. Swamy","doi":"10.54931/2053-4787.29-s1-2","DOIUrl":"https://doi.org/10.54931/2053-4787.29-s1-2","url":null,"abstract":"Retinal blood vessel and retinal vessel tree segmentation are significant components in disease identification systems. Diabetic retinopathy is found using identifying hemorrhages in blood vessels. The debauched vessel segmentation helps in an image segmentation process to improve the accuracy of the system. This paper uses Edge Enhancement and Edge Detection method for blood vessel extraction. It covers drusen, exudates, vessel contrasts and artifacts. After extracting the blood vessel, the dataset is fed into CNN network called EyeNet for identifying DR infected images. It is observed that EyeNet leads to Sensitivity of about 90.02%, Specificity of about 98.77% and Accuracy of about 96.08%. Department of Electronics and Communication Engineering, Thiagarajar College of Engineering, Madurai, India *Author for correspondence: Email-gananthi@tce.edu Introduction Diabetic Retinopathy is a diabetic complication that affect eye. The automated system was developed for suitable detection of the disease using fundus image and segmentation [1]. The location of anomalies in fovea is being identified and helpful for diagnosis. The detection of retinal parts was carried out as part of the overall device growth, and the results have been published. The method of removing the usual retinal components: blood vessels, fovea, and optic disc, allows for the identification of lesions. There are different techniques explained in for blood vessel extraction namely Edge Enhancement and Edge Detection, Modified Matched Filtering, Continuation Algorithm and Image Line Cross Section. Diabetic retinopathy is a serious eye disorder that can lead to blindness in people of working age [2,3]. A multilayer neural network with three primary color components of the image, namely red, green, and blue as inputs, is used to identify and segment retinal blood vessels. The back propagation algorithm is used, which provides a reliable method for changing the weights in a feed-forward network. Deep convolutional neural networks have recently demonstrated superior image classification efficiency as compared to the feature-extracted image classification methods [4]. Authors proposed morphological processing, thresholding, edge detection, and adaptive histogram equalization to segment and extract blood vessels from retinal images [5].","PeriodicalId":74927,"journal":{"name":"The African journal of diabetes medicine","volume":"44 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84063542","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}
Pub Date : 2021-01-01DOI: 10.54931/2053-4787.29-s2-3
M. M. S. Tayeb
{"title":"Wheat sensitization: Which allergic diseases are commonly associated? A retrospective study: Jeddah-Saudi","authors":"M. M. S. Tayeb","doi":"10.54931/2053-4787.29-s2-3","DOIUrl":"https://doi.org/10.54931/2053-4787.29-s2-3","url":null,"abstract":"","PeriodicalId":74927,"journal":{"name":"The African journal of diabetes medicine","volume":"67 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82217742","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}
Pub Date : 2021-01-01DOI: 10.54931/2053-4787.29-s2-2
Pengd-Wende Habib Bousse T, Oumar B, Jean Augustin Diegane T, A. Diop, Cheikh Tidiane M, Roger Clement T, A. F
{"title":"Study of the frequency of diabetes mellitus and its risk factors in the emergency units of two hospitals in Dakar, Senegal","authors":"Pengd-Wende Habib Bousse T, Oumar B, Jean Augustin Diegane T, A. Diop, Cheikh Tidiane M, Roger Clement T, A. F","doi":"10.54931/2053-4787.29-s2-2","DOIUrl":"https://doi.org/10.54931/2053-4787.29-s2-2","url":null,"abstract":"","PeriodicalId":74927,"journal":{"name":"The African journal of diabetes medicine","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91384559","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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