Prevalence of Refractive Errors and Associated Risk Factors in Subjects with Type 2 Diabetes Mellitus

Ophthalmology ◽  
2010 ◽  
Vol 117 (6) ◽  
pp. 1155-1162 ◽  
Author(s):  
Padmaja Kumari Rani ◽  
Rajiv Raman ◽  
Sudhir R. Rachapalli ◽  
Vaitheeswaran Kulothungan ◽  
Govindasamy Kumaramanickavel ◽  
...  
2020 ◽  
Author(s):  
Xiaobo LIU ◽  
Chao Dong ◽  
Hong Jiang ◽  
Dongling Zhong ◽  
Yuxi Li ◽  
...  

Abstract Background: The prevalence of type 2 diabetes mellitus (T2DM) is growing in China. Both physical and psychological complications occur along with the development of T2DM. The patients with depression account for a significant proportion of T2DM. Depressive symptoms interfere with blood glucose management, leading to poorer treatment outcome and even relate to the occurrence of other serious complications of T2DM population. Among these T2DM patients with depression, early detection and treatment is essential and effective. Knowledge of the current prevalence of depression in T2DM patients as well as associated risk factors may be meaningful for healthcare planning. Therefore, we plan to conduct a systematic review and meta-analysis to evaluate the Chinese prevalence of depression in T2DM and explore associated risk factors.Methods: We will search literatures recorded in MEDLINE/PubMed, EMBASE, the Cochrane Library, Chinese Biomedical Literature Database (CBM), China National Knowledge Infrastructure (CNKI), Chinese Science and Technology Periodical Database (VIP), and Wanfang database (Wanfang Data). The grey literatures and reference list will be manually searched. We will include population-based, cross-sectional surveys that investigated the Chinese prevalence of depression in T2DM or/and researched the possible risk factors. Two reviewers will screen studies, extract data and evaluate quality independently. We will assess inter-rater agreement between reviewers for study inclusion, data extraction, and study quality assessment using Kappa statistics. The primary outcome will be the pooled Chinese prevalence of depression in T2DM patients. The secondary outcome will contain the potential risk factors for depression in patients with T2DM. R software (version 3.6.1) and STATA software (version 12) will be used for data analysis.Discussion: This systematic review will provide comprehensive evidence of the Chinese prevalence and risk factors of depression in patients with T2DM. we expect to provide evidence basis for healthcare practitioners and policy makers to pay attention to the mental health of T2DM. Our data will highlight the need and importance of early detection and intervention for depression in patients with T2DM. Systematic review registration: PROSPERO CRD42020182979.


2021 ◽  
Vol 37 (5) ◽  
Author(s):  
Shaista Kanwal ◽  
Tahir Ghaffar ◽  
Azizul Hasan Aamir ◽  
Khalid Usman

Objective: Non-Alcoholic Fatty Liver Disease (NAFLD) is emerging as a major public health problem globally especially in patients with Type-2 Diabetes mellitus (T2DM). This study aimed to assess the frequency of NAFLD in patients with T2DM and to study its associated risk factors. Methods: This descriptive study was conducted from April 2020 to October 2020 at the Hayatabad Medical Complex, Peshawar. Adult patients with T2DM were included in the study and underwent abdominal ultrasound for the identification of NAFLD. All the relevant clinical and biochemical characteristics were measured. Results: Out of 384 participants, 236 patients (61.5%) had NAFLD on ultrasound. Patients with NAFLD had higher mean BMI, higher HbA1c, increased waist circumference, raised ALT, higher triglyceride, and low HDL. Logistic regression analysis revealed a statistically significant association with central obesity (OR = 5.448, 95% CI = 1.416-20.959, p = 0.014), higher BMI (OR = 4.435, 95% CI = 2.127-9.246, p < 0.0001), higher HbA1c [> 11%] (OR = 3.602, 95% CI = 1.438-9.019, p = 0.006), and elevated ALT (OR = 3.211, 95% CI = 1.509-6.835, p = 0.002). The highest odds for NAFLD were found for hypertriglyceridemia (OR = 11.624, 95% CI = 5.405-24.998, p < 0.0001) and low HDL (OR = 11.543, 95% CI = 2.590-51.439, p = 0.001), respectively. Conclusions: High frequency of NAFLD along with its associated clinical and laboratory risk factors were revealed. This underpins the significance of screening T2DM patients for NAFLD and assessment for and modification of its associated risk factors in routine clinical practice. doi: https://doi.org/10.12669/pjms.37.5.4211 How to cite this:Kanwal S, Ghaffar T, Aamir AH, Usman K. Frequency of non-alcoholic fatty liver disease in patients with type-2 diabetes mellitus and its associated risk factors. Pak J Med Sci. 2021;37(5):---------. doi: https://doi.org/10.12669/pjms.37.5.4211 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


2017 ◽  
Vol 11 ◽  
pp. S577-S581 ◽  
Author(s):  
Parvin Akter Khanam ◽  
Sayama Hoque ◽  
Tanjima Begum ◽  
Samira Humaira Habib ◽  
Zafar Ahmed Latif

2021 ◽  
Vol 1 (12) ◽  
pp. e0000003
Author(s):  
Md. Saad Ahmmed ◽  
Suvasish Das Shuvo ◽  
Dipak Kumar Paul ◽  
M. R. Karim ◽  
Md. Kamruzzaman ◽  
...  

Dyslipidemia is considered a significant modifiable risk factor for type-2 diabetes mellitus (T2DM) and has become one of the emerging health problems throughout the world. In Bangladesh, data on dyslipidemia among newly diagnosed T2DM patients are comparatively inadequate. This study aimed to evaluate the prevalence of dyslipidemia and its associated risk factors in newly diagnosed T2DM patients. This cross-sectional study was conducted by a well-structured questionnaire from 132 newly diagnosed type-2 diabetic patients attending the Mujibur Rahman Memorial Diabetic Hospital in Kushtia, Bangladesh. Data regarding socio-demographic, anthropometric, fasting blood glucose, total cholesterol (TC), triglyceride (TG), high-density lipoprotein (HDL), and low-density lipoprotein (LDL) were collected from all the respondents. The association between dyslipidemia and its associated factors was analyzed using the multivariate logit regression model. The findings suggest that the prevalence rate of dyslipidemia was 75.7% in female and 72.6% in male T2DM patients. The odds of having dyslipidemia were 1.74 (95% Cl: 1.58–1.87) times significantly higher in female (p<0.001). The other factors associated with dyslipidemia encompassed age between 30–39 years (OR: 2.32, 95% CI: 1.97–2.69), obesity (OR: 2.63, 95% CI: 2.27–2.90), waist circumferences of male ≥90 and female ≥80 (OR: 1.65, 95% CI: 1.59–1.89), hypertensive patients (OR: 1.51, 95% CI: 1.45–1.74), physically inactive (OR: 3.25, 95% CI: 1.84–4.68), and current smoker or tobacco user (OR: 1.93, 95% CI: 1.85–2.13). This study concluded that the high prevalence of dyslipidemia was found among newly diagnosed type-2 diabetes patients and associated with gender, age, BMI, waist circumference, poor physical activity, and smoking, or tobacco use. This result will support increase awareness of dyslipidemia and its associated risk factors among type-2 diabetes patients.


Sign in / Sign up

Export Citation Format

Share Document