{"title":"埃塞俄比亚东谢瓦糖尿病患者的空腹血糖水平及其相关因素:贝叶斯方法","authors":"Biruk Shalmeno Tusa","doi":"10.35248/2155-6156.21.12.884","DOIUrl":null,"url":null,"abstract":"Introduction: Majority of diabetes patients fail to achieve adequate level of fasting blood sugar. Therefore, the pre Department of Epidemiology & Biostatistics, Collage of Health and Medical Sciences, Haramaya University, Haramaya, Ethiopia sent study uses a Bayesian framework to identify factors associated with level of fasting blood sugar. Methods: Institution based cross-sectional study was employed. Markov chain Monte Carlo (MCMC) simulation was used to estimate the model parameters. Summary statistic including mean, standard deviation (SD) and 95% credible intervals (CI) of unknown parameters was calculated from stored MCMC samples. Result: The mean (±SD) fasting blood sugar level was 151.07 (±38.21) mg/dl. Good Diabetic self-care activities (β=-8.78; HPD CI: (-16.63, -0.93)), having chronic illness other than diabetes mellitus (DM) (β=9.89; HPD CI: (1.39- 18.38)), taking insulin (β=16.82; HPD CI: (4.82, 28.83)) and both insulin and oral anti-diabetic medication (β=32.31; HPD CI: (15.20, 49.37)) and having serious psychological distress (β=15.46; HPD CI: (1.70 – 29.17)) were significantly associated with level of fasting blood sugar. Conclusions: Diabetic self-care activities, chronic illness other than DM, treatment regimen and depression were strong predictors of fasting blood sugar level among DM patients. Therefore, we recommend that integration of screening & treating for depression & comorbidities and give counseling on diabetic self-care activity along with the already existing DM treatment.","PeriodicalId":15597,"journal":{"name":"Journal of diabetes & metabolism","volume":"1119 1","pages":"1-2"},"PeriodicalIF":0.0000,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Fasting Blood Sugar Levels and Associated Factors among Diabetes Patients in East Shewa, Ethiopia: Bayesian Approach\",\"authors\":\"Biruk Shalmeno Tusa\",\"doi\":\"10.35248/2155-6156.21.12.884\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Introduction: Majority of diabetes patients fail to achieve adequate level of fasting blood sugar. Therefore, the pre Department of Epidemiology & Biostatistics, Collage of Health and Medical Sciences, Haramaya University, Haramaya, Ethiopia sent study uses a Bayesian framework to identify factors associated with level of fasting blood sugar. Methods: Institution based cross-sectional study was employed. Markov chain Monte Carlo (MCMC) simulation was used to estimate the model parameters. Summary statistic including mean, standard deviation (SD) and 95% credible intervals (CI) of unknown parameters was calculated from stored MCMC samples. Result: The mean (±SD) fasting blood sugar level was 151.07 (±38.21) mg/dl. Good Diabetic self-care activities (β=-8.78; HPD CI: (-16.63, -0.93)), having chronic illness other than diabetes mellitus (DM) (β=9.89; HPD CI: (1.39- 18.38)), taking insulin (β=16.82; HPD CI: (4.82, 28.83)) and both insulin and oral anti-diabetic medication (β=32.31; HPD CI: (15.20, 49.37)) and having serious psychological distress (β=15.46; HPD CI: (1.70 – 29.17)) were significantly associated with level of fasting blood sugar. Conclusions: Diabetic self-care activities, chronic illness other than DM, treatment regimen and depression were strong predictors of fasting blood sugar level among DM patients. Therefore, we recommend that integration of screening & treating for depression & comorbidities and give counseling on diabetic self-care activity along with the already existing DM treatment.\",\"PeriodicalId\":15597,\"journal\":{\"name\":\"Journal of diabetes & metabolism\",\"volume\":\"1119 1\",\"pages\":\"1-2\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of diabetes & metabolism\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.35248/2155-6156.21.12.884\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of diabetes & metabolism","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.35248/2155-6156.21.12.884","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Fasting Blood Sugar Levels and Associated Factors among Diabetes Patients in East Shewa, Ethiopia: Bayesian Approach
Introduction: Majority of diabetes patients fail to achieve adequate level of fasting blood sugar. Therefore, the pre Department of Epidemiology & Biostatistics, Collage of Health and Medical Sciences, Haramaya University, Haramaya, Ethiopia sent study uses a Bayesian framework to identify factors associated with level of fasting blood sugar. Methods: Institution based cross-sectional study was employed. Markov chain Monte Carlo (MCMC) simulation was used to estimate the model parameters. Summary statistic including mean, standard deviation (SD) and 95% credible intervals (CI) of unknown parameters was calculated from stored MCMC samples. Result: The mean (±SD) fasting blood sugar level was 151.07 (±38.21) mg/dl. Good Diabetic self-care activities (β=-8.78; HPD CI: (-16.63, -0.93)), having chronic illness other than diabetes mellitus (DM) (β=9.89; HPD CI: (1.39- 18.38)), taking insulin (β=16.82; HPD CI: (4.82, 28.83)) and both insulin and oral anti-diabetic medication (β=32.31; HPD CI: (15.20, 49.37)) and having serious psychological distress (β=15.46; HPD CI: (1.70 – 29.17)) were significantly associated with level of fasting blood sugar. Conclusions: Diabetic self-care activities, chronic illness other than DM, treatment regimen and depression were strong predictors of fasting blood sugar level among DM patients. Therefore, we recommend that integration of screening & treating for depression & comorbidities and give counseling on diabetic self-care activity along with the already existing DM treatment.