scholarly journals Musculoskeletal Disorders in Patients with Diabetes Mellitus: A Cross-Sectional Study

2018 ◽  
Vol 2018 ◽  
pp. 1-6 ◽  
Author(s):  
A. Majjad ◽  
Y. Errahali ◽  
H. Toufik ◽  
J. H Djossou ◽  
M. A. Ghassem ◽  
...  

Introduction. A variety of musculoskeletal disorders (MS) have been associated with diabetes mellitus (DM). This study aimed at assessing the prevalence and associated factors of MS disorders in Moroccan diabetic patients. Methods. A cross-sectional study enrolled consecutive patients with DM. We recorded demographic features of patients and characteristics of DM. MS disorders and vascular complications were assessed by clinical examinations and investigations. Associated factors of MS disorders were assessed by univariate and multivariate analyses. Result. 376 subjects were included; 84.6% had type 2 DM. The participants’ median age was 54 years [45–62]; 41% had one or more vascular complications. 34.4% had one or more MS disorders. Osteoarthritis was present in 19.4% of patients. Hand disorders were seen in 14.4%. Shoulder capsulitis was present in 12.5%. Long duration of diabetes and dyslipidemia were associated with increased prevalence of hand abnormalities (P=0.017; P=0.019, respectively). Age and dyslipidemia were associated with shoulder capsulitis (P=0.019; P=0.047, respectively). Female gender, overweight, and nephropathy were associated with increased odds of osteoarthritis (P=0.009, P=0.004, and P=0.032, respectively). Conclusion. MS disorders are frequent in this population and associated with various factors. HbA1c level does not appear to be associated with development of MS disorders.

PLoS ONE ◽  
2021 ◽  
Vol 16 (5) ◽  
pp. e0251506
Author(s):  
Shambel Nigussie ◽  
Nigussie Birhan ◽  
Firehiwot Amare ◽  
Getnet Mengistu ◽  
Fuad Adem ◽  
...  

Objective To assess the rate of glycemic control and associated factors among type 2 diabetes mellitus patients at Dilchora Referral Hospital, Dire Dawa, Eastern Ethiopia. Methods A cross-sectional study was conducted from 13 May to 16 August 2019. Type 2 diabetic patients on follow up at Dilchora Referral Hospital who fulfilled the inclusion criteria of the study were included. Systematic random sampling was used to select study participants. Data was collected by a face-to-face interview and review of medical records. The primary outcome was the level of blood glucose during three consecutive visits. Poor glycemic control was defined as a blood sugar level of more than 154 mg/dL based on the average of measurements from three consecutive visits. Multivariate logistic regression analysis was used to identify determinants of glycemic control. Result A total of 394 participants responded to the interview and were included in the final analysis. The overall prevalence of poor glycemic control was 45.2% (95%CI: 40.6%-50.0%). Patients who were on oral anti-diabetic drug plus insulin had more than two times greater chance of poor glycemic control than patients on oral anti-diabetic drug alone: 2.177(95%CI:1.10–4.29). The odds of poor glycemic control in patients who did not understand the pharmacist’s instructions was two times higher than patients with good understanding of instructions 1.86(95%CI: 1.10–3.13). Patients who had poor level of practice were found to have poor glycemic control: 1.69(95% CI: 1.13–2.55). Conclusion The overall prevalence of poor glycemic control was high among type 2 diabetes patients. Oral anti-diabetic drugs in combination with insulin, lack of understanding of pharmacist’s advice, and poor practice of diabetic patients were significant factors of poor glycemic control. Pharmacists should reassure the understanding of patients before discharge during counseling. Optimization of the dose of antidiabetic medications and combination of oral hypoglycemic agents should be considered.


2019 ◽  
Vol 2019 ◽  
pp. 1-6 ◽  
Author(s):  
Jnadi M. Madkhali ◽  
Ammar A. Hakami ◽  
Ali H. Dallak ◽  
Ramzi M. Hakami ◽  
Abdullah A. Yatimi ◽  
...  

Context. Patients with diabetes mellitus (DM) have a poorer quality of life when compared with patients without DM. In fact, one in every five diabetic patients suffers from comorbid depression, which can lead to poor management, poor compliance with treatment, and low quality of life. Therefore, we assessed the prevalence of depression and identified its associated factors among diabetic patients at Jazan Province, KSA. Methods and Materials. A cross-sectional study was conducted among 500 diabetic patients attending a diabetic center in addition to four primary healthcare centers. We used a simple Arabic translation of the Beck Depression Inventory (BDI II) tool to evaluate the depression level among the subjects. We also evaluated the frequencies of certain sociodemographic characteristics and clinical information. Moreover, we performed univariate and multivariate analyses to identify the potential risk factors using adjusted odds ratios (AORs). Results. The prevalence of depression among DM patients was 20.6%. The majority of patients showed no depression (N = 285, 59.4%), one-fifth had mild depression (N = 96, 20.0%), some (N = 55, 11.4%) had moderate depression, and some had severe depression (N = 44, 9.2%). Depression was significantly more prevalent among uneducated patients (N = 27, 31.8%) (X2 = 17.627, P = 0.001) and patients with low monthly income (< 2500 SR/month) (N = 33, 22.8%) (X2 = 9.920, P = 0.019). Hypertension (AOR = 2.531, 95% CI [1.454, 4.406]) and ischemic heart diseases (AOR = 3.892, 95% CI [1.995, 7.593]) were considered as risk factors for depression among diabetic patients. Conclusions. Almost one in every five patients with DM is affected by depression coexisting with cardiovascular diseases. Therefore, screening for psychological problems, proper treatment, and educating patients with diabetes about DM self-management should be routine components of DM care.


2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Teeraboon Lertwanichwattana ◽  
Ram Rangsin ◽  
Boonsub Sakboonyarat

Abstract Objectives The research aimed to determine the prevalence and associated factors of uncontrolled hyperlipidemia among Thai patients with the disease and Clinical ASCVD. Results A total of 1,527 Thai diabetic patients with a history of ASCVD were included in the study. Uncontrolled hyperlipidemia was detected among 1,216 patients (79.6%; 95% CI 77.6–81.7). The independent factors associated with uncontrolled hyperlipidemia included being female (adjusted odds ratio (AORs); 1.5, 95% CI 1.2–2.0), using thiazolidinedione (AORs; 1.7, 95% CI 1.1–2.7), community hospital (AORs; 4.3, 95% CI 1.0–18.0) and BMI level at 18.5–22.9 kg/m2 (AORs; 2.2, 95% CI 1.2–4.0), 23.0–24.9 kg/m2 (AORs; 1.8 95% CI 0.9–3.3), 25.0–29.9 kg/m2 (AORs; 2.3 95% CI 1.3–4.3) and ≥ 30 kg/m2 (AORs; 2.5 95% CI 1.3–4.9).


Author(s):  
Mahtab Niroomand ◽  
Sepideh Babaniamansour ◽  
Ehsan Aliniagerdroudbari ◽  
Ali Golshaian ◽  
Azadeh Mazaheri Meibodi ◽  
...  

2019 ◽  
Author(s):  
Muna Abdulkadr ◽  
Hailu Merga ◽  
Biru Abdissa ◽  
Lamessa Dube

Abstract Background Diabetes mellitus remains the leading cause of end stage renal disease in most countries in the world. In Ethiopia, renal complications of diabetes may remain unrecognized due to limited diagnostic resources. As a result, the studies that shows the prevalence of chronic kidney disease (CKD) and its risk factors among adult diabetics in Ethiopia are flimsy. Hence, this study was aimed at assessing the prevalence of chronic kidney disease and associated factors among diabetic patients who attended federal police hospital diabetic clinic in Addis Ababa. Methods Hospital based cross sectional study was conducted among 362 Diabetes Mellitus patients using systematic sampling method. Chronic kidney disease stage was categorized according to the classification system established by the National Kidney Foundation Kidney Disease out comes Quality Initiative and defined by Estimated Glomerular Filtration Rate (eGFR) <60ml/min/1.73m2. Analysis was performed using SPSS. The prevalence estimates for the reduced GFR and overall chronic kidney disease were obtained. Binary logistic regression was used to see associated factors with chronic kidney disease. Results The prevalence of chronic kidney disease diagnosed by Cockroft-Gault equation and Modification of Diet in Renal Disease equation was 14.6% and 7.7% respectively. Age 50-59 years (AOR= 4.0; 95% CI:1.2, 13) by Cockroft-Gault equation (CG), age 60-69 years (AOR=5.8 95%CI:1.5,21.0) by Modification of Diet in Renal Disease (MDRD) and (AOR;22.9 95%CI:7.1,74.2) by CG, age 70 years and above (AOR=4.7; 95 CI: 1.1, 19.7) by MDRD and (AOR= 22.9; 95%CI:7.1,74.2) by CG, BMI (AOR=2.2; 95% CI:1.6, 4.2) by CG, and previous kidney disease (AOR=6.2 95%CI:2.0,8.4) by MDRD and (AOR;4.6 95%CI:1.9,10.8) C-G equation were found to have a significant association with chronic kidney disease after an adjustment done using multivariate analysis. Conclusion The prevalence of chronic kidney disease among Diabetic patients in this study was high. Age, BMI and previous recurrent kidney disease were associated with Chronic Kidney Disease. Preventive measures like giving health education and screening of patients with risk factors should get more attention.


2020 ◽  
Vol 8 (12) ◽  
pp. 1105-1113
Author(s):  
Manal Abdulaziz Murad ◽  
◽  
Hoda Jehada Bousada ◽  
Mohammad Fawzi Saati ◽  
Faisal Ali Abutaleb ◽  
...  

Aims: The current study aimed to identify the prevalence of impaired awareness of hypoglycemia (IAH) in the Kingdom of Saudi Arabia. Also, it aimed to determine the risk factors for IAH. Methods: This is an analytical cross-sectional study that was conducted through a survey that targeted patients with diabetes mellitus (DM) in Saudi Arabia. The study was conducted from July 10th. 2020 to October 10th. 2020. Results: The authors got responses from 1080 patients. The mean age was 55.5 years and the mean duration of DM was 11 years. Three hundred and sixty (33.3%) responders stated that they developed symptoms of hypoglycemia, of them, 60 (16.7%) patients developed symptoms weekly, and 60 (16.7%) patients developed symptoms twice weekly.The prevalence of IAH in the sample was 14.8 % (Gold method), and 20%(Pearson method). Our results showed that the prevalence of IAH was higher among patients who were over 65 years of age, female gender, who had DM for over 15 years, and those who did not attend schools. Conclusion: The problem of IAH is a significant disorder in diabetic patients in the Kingdom of Saudi Arabia. The current study showed that the prevalence of IAH was ranging from 14.8% to 20%.


2021 ◽  
Author(s):  
Md. Shahed Morshed ◽  
Abdullah Al Mosabbir ◽  
Mohammad Sorowar Hossain

AbstractThe current coronavirus disease 2019 (COVID-19) outbreak was reported to cause significantly higher mortality and morbidity among patients with diabetes mellitus (DM). Although Bangladesh is amongst the top 10 countries with diabetic people, data on these patients with COVID-19 is scarce from this region. This study aimed to illustrate the clinical features and outcomes of hospitalized patients with COVID-19 and DM in Bangladesh while comparing survivors and deceased.This retrospective cross-sectional study was conducted among RT-PCR confirmed COVID-19 patients with pre-existing Diabetes Mellitus in a specialized COVID-19 hospital in Bangladesh. Data from hospital records were analyzed.Among 921 RT-PCR confirmed COVID-19 admitted during the study period, 231 (∼25%) patients with pre-existing DM (median age 60 years) were included in the analysis. The death rate among all hospitalized patients (with and without DM) was 2.8% compared to 11.3% among diabetic patients. The median hospital stay was 13 days (IQR 10.5, 17.0) for survivors and five days (IQR 2.0-8.3) for the deceased. The clinical features were not significantly different between survivors and the deceased. However, deceased patients had significantly lower blood oxygen level (85% vs 93%, p <0.001), and higher neutrophil-lymphocyte ratio (7.9 vs 4.5, p 0.003) and serum ferritin (946.0 vs 425.0 ng/ml, p 0.03). Glycemic status was poor in both groups.This study would help identify a subgroup of diabetic patients with COVID-19 who are at higher risk of in-hospital death and improve clinical decision making.


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