Global journal of obesity, diabetes and metabolic syndrome最新文献

{"title":"Glucose and insulin levels’ linkages with breast cancer factors","authors":"Das Mahashweta, Saha Ishita, Sinha Prasenjit, Medda Sunit Kumar, Das Rabindra Nath","doi":"10.17352/2455-8583.000057","DOIUrl":"https://doi.org/10.17352/2455-8583.000057","url":null,"abstract":"Serum lipid and glucose metabolisms are considered as the intermediary mechanisms for connecting obesity and Breast Cancer (BC). The article aims to identify the linkages between diabetes biochemical factors such as glucose & insulin and BC biochemical factors such as Monocyte Chemoattractant Protein-1 (MCP-1), adiponectin, Homeostasis Model Assessment score Insulin Resistance (HOMA-IR), resistin, leptin. These objectives can be focused on the two separate statistical models of glucose & insulin based on the remaining factors. From the mean model of glucose, it is observed that mean glucose level is directly linked with BC women (P= 0.023), leptin (P<0.001), HOMA-IR (P<0.001), while it is inversely linked with the interaction effects between HOMA-IR & leptin (i.e., HOMA-IR*leptin (P<0.001)) and adiponectin & leptin (i.e., adiponectin* leptin (P= 0.088)). Similarly, from the mean model of insulin, it is observed that mean insulin level is directly linked with HOMA-IR (P<0.001), leptin (P<0.001), and the interaction effects Age*MCP-1 (P= 0.091), glucose*adiponectin (P= 0.043), glucose*resistin (P<0.001), MCP-1*HOMA-IR (P<0.001), while it is reciprocally linked with MCP-1 (P= 0.026), resistin (P<0.001), adiponectin (P= 0.078), HOMA-IR*body mass index (BMI) (P<0.001), glucose*HOMA-IR (P<0.001), leptin*adiponectin (P= 0.071). There are more linkages of the variances of insulin and glucose with the BC biochemical factors. Based on the summarized results it is interpreted that diabetes biochemical factors such as insulin and glucose are highly linked with BC biomarkers such as MCP-1, HOMA-IR, leptin, resistin, and adiponectin.","PeriodicalId":73168,"journal":{"name":"Global journal of obesity, diabetes and metabolic syndrome","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90437204","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":"Relationship between death anxiety and health-related quality of life among diabetic patients: The predictive roles of experiential avoidance","authors":"Ezaka Emmanuel Sochukwuma, Nassif Reyam Nehad, Chibuike Okoli Paul, Okeke Suhanya, Chukwubuzo Okpara Titus, Ekpunobi Chime Peter, Obumneme Ozougwu Augustine, Chinwike Okoli Alexander","doi":"10.17352/2455-8583.000056","DOIUrl":"https://doi.org/10.17352/2455-8583.000056","url":null,"abstract":"This study investigated the predictive roles of experiential avoidance on the relationship between death anxiety and health-related quality of life among diabetic patients. A total of one hundred and five (105) participants (62; 58.5% females) participated in the study. The participant ages ranged from 21-75 years with a mean age of 53.45 and a standard deviation of 14.44. Participants were drawn using the convenience sampling technique and were administered the questionnaires before their consultations. Three instruments were used in data collation namely; the Death Anxiety Inventory-Revised (DAI-R), the Acceptance and Action Questionnaire (AAQ), and the Diabetes Quality of Life Questionnaire (DQOLQ). Four hypotheses were tested and the results showed that there was no significant correlation between death anxiety and HRQoL (r=-.036), also, experiential avoidance didn’t significantly predict HRQoL (.411, p<.05), experiential avoidance didn’t significantly predict death anxiety (.534, p<.05), while experiential avoidance didn’t predict the relationship between death anxiety and HRQoL (.757, p<.05). The researchers suggest that medical professionals in charge of diabetic patients should look beyond HRQoL and death anxiety in investigating whether there will be an occurrence of experiential avoidance.","PeriodicalId":73168,"journal":{"name":"Global journal of obesity, diabetes and metabolic syndrome","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78519922","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":"COVID-19 and diabetes mellitus patients","authors":"Harsini Pooyan Afzali, Jeihooni Ali Khani, Imani Gholamreza, Hamzehie Saeed, Moghadam Hadis Safaei, Rozveh Fatemeh Alimohammadi, Alizadegan Sahar","doi":"10.17352/2455-8583.000055","DOIUrl":"https://doi.org/10.17352/2455-8583.000055","url":null,"abstract":"Coronavirus (COVID-19) is an encapsulated virus with a self-positive-sense RNA genome that is proven to cause respiratory disease in humans. Coronaviruses (COVID-19) are a type of virus that infects the respiratory tract [1]. In most immunocompetent individuals, infection with human COVID-19 results in a moderate upper respiratory infection in the majority of cases.","PeriodicalId":73168,"journal":{"name":"Global journal of obesity, diabetes and metabolic syndrome","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88663257","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":"Non adherence to physical activity recommendations and associated factors among Type 2 Diabetic patients in Illubabor zone, South West Ethiopia","authors":"Debalke Rukiya, Zinab Beakal, Belachew Tefera","doi":"10.17352/2455-8583.000054","DOIUrl":"https://doi.org/10.17352/2455-8583.000054","url":null,"abstract":"Introduction: Diabetic patients’ poor adherence to lifestyle recommendations leads to poor glycemic control and associated micro and macro-vascular complications; however most patients have difficulty in adhering to the lifestyle modifications including physical activity recommendations. This study assessed the magnitude of non-adherence to physical activity recommendation and associated factors among type 2 diabetic patients attending follow up at government hospitals in Ilu Abba Bora Zone, southwestern Ethiopia. Methods: Institution based cross-sectional study was conducted from March 19 to May 19, 2018, among 422 diabetic patients attending regular follow up at government hospitals in Illuababor Zone, Southwest Ethiopia, participants were selected using systematic sampling method. Physical activity adherence was assessed using Global Physical Activity Questionnaire [GPAQ]. Multivariable logistic regression was used to identify factors associated with diabetic patients’ non-adherence to physical activity recommendations. Results: The study found that 38% of diabetic patients were non-adherent to physical activity recommendations. The odds non-adherence to physical activity recommendations was independently associated with patients’ sex (AOR=2 (95%CI:1.2, 3.4)), perceived severity of the illness (AOR=1.7 (95%CI:1.1, 2.8)) and self-efficacy (AOR=2.6 (95%CI:1.6,4.4)). Conclusion and recommendations: High proportions of diabetic patients were non-adherent to physical activity recommendations. Evidence based and Patient centered management plan should be practiced. The results imply that integrating lifestyle modification education focussing on physical activity recommendations should be integrated into diabetic care.","PeriodicalId":73168,"journal":{"name":"Global journal of obesity, diabetes and metabolic syndrome","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85967620","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":"Lipid profile, abnormality of serum glucose levels and their associated factors in multidrug-resistant tuberculosis patients","authors":"Biranu Endalkchew, W. Mistire, Negesso Abebe Edao, Sisay Million Molla, Tola Habteyse Hailu","doi":"10.17352/2455-8583.000053","DOIUrl":"https://doi.org/10.17352/2455-8583.000053","url":null,"abstract":"Background: The rise of multidrug-resistant tuberculosis (MDR-TB) has become a major public health concern around the world. Most patients with pulmonary tuberculosis have low body nutrients, hypocholesterolemia, and lower values were strongly associated with mortality in these patients. Representative data on lipid profile, fasting blood glucose abnormalities and their associated factors among MDR TB patients are lacking. Objective: To determine lipid profile, fasting blood glucose abnormalities and their associated factors among multi-drug resistant TB patients during therapy with anti-MDR-TB regimen in St.peter’s Specialized Hospital Addis Ababa, Ethiopia from January to November 2020. Methods and materials: A cross-sectional study was conducted among multi-drug resistant TB patients during MDR therapy regimen in St. Peter’s Specialized Hospital in Addis Ababa, Ethiopia from January to November 2020.Using the Consecutive sampling method a total of 162 blood samples was collected in SST tubes and analyzed by using the Cobas chemistry analyzer. Data were analyzed using SPSS software version 23 packages. Simple descriptive statistics were used to present the socio-demographic and clinical characteristics of the study participants. Other associations were performed with Pearson’s correlation coefficient. A p-value of <0.05 at the 95 % confidence level were considered as statistically significant in all the analyses. Results: Mean age of the study participant was 35.9 ± 13.6 years. The prevalence of diabetes was 16%. Out of those who had diabetes (9.8%) was newly diagnosed and 6.2% already knew their diabetes status.The most common serum lipid profile abnormalities were 92.6 % HDL-C and 35.8% had TG levels above the borderline. Among MDR-TB patients, 25.9% had a fasting blood glucose level that was higher than normal (hyperglycemic). Conclusion: Lipid profile abnormalities and an increased risk of diabetes have been observed in patients with multidrug-resistant tuberculosis. Factors associated with abnormal blood glucose needed attention to avoid further complications and also the finding of this research calls for the implementation of active case finding of DM in patients diagnosed for MDR-TB.","PeriodicalId":73168,"journal":{"name":"Global journal of obesity, diabetes and metabolic syndrome","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87103755","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":"Diabetes Mellitus: A stitch in time saves Nine Early Diagnosis and Management minimizes complications- A Case Study","authors":"K. Akshay, K. Suresh","doi":"10.17352/2455-8583.000052","DOIUrl":"https://doi.org/10.17352/2455-8583.000052","url":null,"abstract":"Diabetes mellitus is a group of metabolic diseases in which the person has high blood glucose level, either due to inadequate insulin secretion or because the body’s cells do not respond properly to the insulin or both.","PeriodicalId":73168,"journal":{"name":"Global journal of obesity, diabetes and metabolic syndrome","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89590046","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":"The use of fenugreek supplementation in diabetes","authors":"Aamir Jalal Al-Mosawi","doi":"10.17352/2455-8583.000051","DOIUrl":"https://doi.org/10.17352/2455-8583.000051","url":null,"abstract":"Sharma and colleagues (1990) reported that the use of defatted fenugreek seed powder in the treatment of in type I diabetes, in a dose of 100 g divided in two doses for ten days, was associated with a considerable lowering of fasting blood sugar and resulted in an improvement in the glucose tolerance test. They also found a 54% lowering of 24-hour urinary glucose excretion. Treatment also had an important lowering effect on serum total cholesterol, LDL and VLDL cholesterol and triglycerides were also signifi cantly reduced [6].","PeriodicalId":73168,"journal":{"name":"Global journal of obesity, diabetes and metabolic syndrome","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89777578","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":"Relationship between obesity and frailty in an old age population of Sindh, Pakistan","authors":"Kainat Faizan, Aadil Ali","doi":"10.17352/2455-8583.000050","DOIUrl":"https://doi.org/10.17352/2455-8583.000050","url":null,"abstract":"Objective: To identify the Relationship between Obesity and Frailty in an old age Population of Sindh, Pakistan. \u0000Methodology: A cross sectional survey was conducted in many different hospitals of Karachi, Pakistan in December 2017. A self-constructed questionnaire was used which includes which includes the demographics, health status of patients, the Body Mass Index (BMI) and to analyze the data acquired, we used SPSS version 23. \u0000Results: 89.1% (n=339) of the participants belong to age group of 60-65 years and 57.3% (n=216) were male. Moreover, the Majority (n=183, 78.8%) of the participants reported with poor health status. After checking the level of Frailty among the participants, (n=218, 58%) of the participants were found to be frail. \u0000Conclusion: This Study concluded that there is significant impact of obesity on Frailty, because as the people ages the level of calcium and vitamin D in the bones decreases, bone become fragile and cannot support the increased weight of an individual which leads to weakness and susceptibility to disease.","PeriodicalId":73168,"journal":{"name":"Global journal of obesity, diabetes and metabolic syndrome","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86364328","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":"Clinical Features, Risk Factors and Hospital Mortality of Acute Stroke Patients","authors":"M. Anwar, Sajeda Afrin, A. Mondol, Mohammad Nurul Islam Khan, Narayan Chandra Sarkar, Kamruzzaman Sarkar, Shahed Jahan, M. Rani, R. Mondal","doi":"10.33805/2638-812x.121","DOIUrl":"https://doi.org/10.33805/2638-812x.121","url":null,"abstract":"Background: Stroke is a leading cause of mortality and disability worldwide. To prevent complications and permanent defects, early diagnosis, distinguishing the type and risk factor of stroke is crucial. Methodology: It was a hospital based cross sectional study, purposive sampling method was used, and a total of 469 stroke patients admitted into Department of Medicine, Rangpur medical college hospital, Bangladesh were included in this study. Results: In this study we have studied of 469 acute stroke patients. Among them 81% (380) were ischemic stroke patients and 19% (89) were hemorrhagic stroke. Overall male were more than female 308 (65.7%) vs 161(34.4%). The mean age for the ischemic stroke group was 64.1 ± 10.9 years, which was significantly higher than that of the hemorrhagic group (59.8 ± 9.60years) (P<0.05). Acute hemorrhagic stroke patients presented with acute onset of focal neurological deficit 61.8%, headache 64%, vomiting 59.6%, alteration of consciousness 48.3% and convulsion 27%. On the other hand, acute ischemic stroke patient presented with alteration of consciousness 65.5%, acute onset of focal neurological deficit 39.5%, paralysis 41%, deficit after awakening 32.4% and aphasia 34.7%. Among the risk factors of stroke in acute ischemic stroke patients hypertension was 59.2%, diabetes mellitus 20%, history of previous stroke 16.1%, ischemic heart disease 14.5% and atrial fibrillation 10.3% were present, on the other hand in acute hemorrhagic stroke patients hypertension 76.4%, smoking 70.8% and diabetes mellitus 6.7% were present. 26.97% of the acute hemorrhagic stroke and 13.9% of the acute ischemic stroke patients died in hospital. Conclusion: Common presentation of stroke was acute onset of focal neurological deficit; headache and vomiting were more in hemorrhagic stroke patient; alteration of consciousness, paralysis was predominant in ischemic stroke patient.","PeriodicalId":73168,"journal":{"name":"Global journal of obesity, diabetes and metabolic syndrome","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73084453","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":"Obesity, Diabetes, and Metabolic Syndrome","authors":"Ghada Welwel","doi":"10.17352/2455-8583.000045","DOIUrl":"https://doi.org/10.17352/2455-8583.000045","url":null,"abstract":"In the contemporary society, there are various health factors that affect people, both the elderly and the young population based on their environment and the interconnected risk factors. Based on that, it is necessary to understand and comprehend that metabolic syndrome also known as (Mets) involves a combination of risk factors for glucose intolerance, insulin resistance, obesity, dyslipidemia, as well as hypertension [1].","PeriodicalId":73168,"journal":{"name":"Global journal of obesity, diabetes and metabolic syndrome","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87939757","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}