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1.
Perspect Health Inf Manag ; 18(4): 1i, 2021.
Article in English | MEDLINE | ID: mdl-34975358

ABSTRACT

Introduction: Diabetes mellitus is known as a major chronic disease that has a number of consequences affecting individuals' health conditions and socioeconomic aspects of life. These challenges require innovative interventions, such as self-management to improve patients' health condition and reduce the economic burden of healthcare systems. The current research aimed to identify patients' and physicians' perspectives about the use of health information technology in diabetes management in Iran. Methods: This was a qualitative study conducted in 2019. In order to collect data, semi-structured interviews were conducted with eight patients and 10 specialists in an endocrine and metabolism research center and in a teaching hospital. The interviews were digitally recorded and transcribed verbatim. Finally, data were analyzed by using framework analysis method and MAXQDA version 10. Results: According to the results, both patients and physicians believed that while using health information technology can improve access to healthcare services, the high cost of technology may hinder its usage. Factors such as government and health system support can motivate users to use the technology, and factors such as lack of user training and technical problems may have a negative impact on technology usage. Conclusion: As a number of motivational and inhibitory factors may influence the use of health information technology in diabetes management, it is imperative to take each of these factors into account before designing and implementing new technologies, especially for diabetes management.


Subject(s)
Diabetes Mellitus , Medical Informatics , Physicians , Diabetes Mellitus/therapy , Humans , Iran , Qualitative Research
2.
J Res Med Sci ; 26: 112, 2021.
Article in English | MEDLINE | ID: mdl-35126575

ABSTRACT

BACKGROUND: Due to widespread of coronavirus disease 2019 (COVID-19) infection, identification of its risk factors and clinical characteristics are important. The aim of the present study was to assess Vitamin D levels in individuals with severe acute respiratory syndrome coronavirus-19 infection and to report on its potential as a predictive marker. MATERIALS AND METHODS: All patients, diagnosed with COVID-19 infection from February 16 to March 21, 2020, and referred to Firoozgar Hospital, Tehran, Iran, were enrolled in this study. Vitamin D analysis was undertaken on patient serum samples using a commercial kit (Pars Azmoon Co., Tehran, Iran). SPSS v. 22 was used for statistical analysis. RESULTS: Vitamin D serum concentration was analyzed in a total of 317 patients whose mean age ± standard deviation was 62.05 ± 15 years and with 62.5% being male. A significant association of Vitamin D level and death was observed. Higher levels of serum Vitamin D had protection against death (odds ratio = 0.955 [95% confidence interval = 0.923-0.988], P = 0.008). CONCLUSION: As a preliminary study in the Iranian population who suffered COVID-19 disease, we identified that Vitamin D deficiency was associated with a higher death rate and intensive care unit admission.

3.
Metab Syndr Relat Disord ; 19(3): 167-173, 2021 04.
Article in English | MEDLINE | ID: mdl-33259744

ABSTRACT

Background: The triglyceride glucose (TyG) index has been proposed as a reliable surrogate marker for nonalcoholic fatty liver disease (NAFLD). Furthermore, NAFLD is strongly related with obesity. This study aimed to compare TyG index and its related parameters (TyG-waist circumference [WC] and TyG-body mass index [BMI]), comprising TyG and obesity markers, in predicting NAFLD and liver fibrosis in overweight/obese individuals without diabetes. Methods: This was a cross-sectional study consisting of 184 overweight/obese people (96 with and 88 without NAFLD), 30-65 years of age. TyG, TyG-BMI, and TyG-WC were computed using the established formula. Liver stiffness measurement (LSM) and controlled attenuation parameter (CAP) were determined by transient elastography (FibroScan). Results: In correlation analyses, CAP and LSM were significantly associated with WC, BMI, TyG, TyG-BMI, and TyG-WC. Regression analyses highlighted TyG-WC as a significant predictor of NAFLD, with the highest standardized odds ratio (2.25, P < 0.001); while liver fibrosis was associated more strongly with TyG-BMI. In receiver operating characteristic (ROC) analysis, TyG-WC showed the largest area under the ROC curve (AUC) for detection of NAFLD (0.693, 95% confidence interval [CI]: 0.617-0.769). However, TyG-BMI was a better discriminator of liver fibrosis (AUC: 0.635, 95% CI: 0.554-0.714). TyG-WC value of 876 (sensitivity: 81.3%, specificity: 52.3%) and TyG-BMI value of 259 (sensitivity: 78.3%, specificity: 51.3%) were the optimal cutoff points to predict NAFLD and liver fibrosis, respectively. Conclusions: The results highlight the significant associations of TyG and its related indices with NAFLD, with TyG-WC being a better indicator. TyG-BMI and TyG-WC could reliably predict liver fibrosis in this population. These indices appear to be simple, practical, and affordable tools for screening NAFLD and liver fibrosis in clinical settings.


Subject(s)
Glucose/metabolism , Non-alcoholic Fatty Liver Disease , Waist Circumference , Biomarkers , Body Mass Index , Cross-Sectional Studies , Humans , Liver Cirrhosis/diagnosis , Non-alcoholic Fatty Liver Disease/diagnosis , Non-alcoholic Fatty Liver Disease/diagnostic imaging , Obesity/complications , Obesity/diagnosis , Overweight/complications , Triglycerides
4.
Curr Diabetes Rev ; 17(3): 268-279, 2021.
Article in English | MEDLINE | ID: mdl-32682380

ABSTRACT

BACKGROUND: Health information technology helps patients to take better care of themselves and improves health status of patients with chronic diseases, such as diabetes. OBJECTIVE: This study aimed to identify factors influencing the use of health information technology in diabetes management. METHODS: This was a review study conducted in 2019. To obtain the related articles, databases, including Scopus, Web of Science, Proquest, and PubMed, were searched and the time frame was between 2010 and 2018. Initially, 1159 articles were retrieved and after screening, 28 articles were selected to be included in the study. RESULTS: Factors influencing the use of health information technology in diabetes management could be divided into the motivational and inhibitory factors, and each of them could be categorized into five groups of organizational, technical, economic, individual, and ethical/legal factors. The motivational factors included training, system ease of use, economic support, having computer literacy, and maintaining privacy and confidentiality. The inhibitory factors included a lack of long-term planning, technical problems, inadequate financial resources, old age, and concerns over confidentiality issues. CONCLUSION: Identifying motivational and inhibitory factors can help to make better use of technology for diabetes management. This approach, in turn, can improve the acceptability of the technology and save cost, reduce long-term complications of diabetes, and improve the quality of life in diabetic patients.


Subject(s)
Diabetes Mellitus , Medical Informatics , Chronic Disease , Diabetes Mellitus/therapy , Health Status , Humans , Quality of Life
5.
Eat Weight Disord ; 24(1): 83-90, 2019 Feb.
Article in English | MEDLINE | ID: mdl-29856006

ABSTRACT

PURPOSE: To assess the association of vitamin D deficiency with general and abdominal obesity among high educated Iranian adults. METHODS: Current cross-sectional study was done on 500 Iranian professors aged 35 years or more. Complete data on general and abdominal obesity as well as serum 25(OH)D concentrations were available for 352 persons. Obesity was considered as body mass index ≥ 30, and abdominal obesity as waist circumference ≥ 80 cm for women and ≥ 94 cm for men. Furthermore, vitamin D deficiency was defined as serum 25(OH)D < 30 ng/ml. RESULTS: Mean age of study population was 53.03 ± 7.15 years. Compared with those in the first quartile of serum 25(OH)D, participants in the fourth quartile were less likely to be generally obese (OR 0.46, 65% CI 0.22-0.99). Such finding was also seen even after taking potential confounders into account. Furthermore, we found an inverse association between serum 25(OH)D and abdominal obesity in fully adjusted model (OR 0.44, 95% CI 0.22-0.86). In addition, a significant positive association was found between vitamin D deficiency and obesity; such that after controlling for potential confounders, participants with vitamin D deficiency had 2.16 and 2.04 times greater odds for having general (OR 2.16, 95% CI 1.05-4.45) and abdominal obesity (OR 2.04, 95% CI 1.16-3.60), respectively, than those with normal levels of vitamin D. CONCLUSION: Serum 25(OH)D concentrations were inversely associated with general and abdominal obesity. In addition, vitamin D deficiency was positively associated with both general and abdominal obesity. LEVEL OF EVIDENCE: Level V, cross-sectional descriptive study.


Subject(s)
Obesity, Abdominal/complications , Obesity/complications , Vitamin D Deficiency/complications , Body Mass Index , Cross-Sectional Studies , Educational Status , Female , Humans , Male , Middle Aged , Obesity/blood , Obesity, Abdominal/blood , Vitamin D/blood , Vitamin D Deficiency/blood , Waist Circumference
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