scholarly journals Prevalence and determinants of poor glycaemic control: a cross-sectional study among Moroccan type 2 diabetes patients

2020 ◽  
Author(s):  
Ahmed Chetoui ◽  
Kamal Kaoutar ◽  
Soufiane Elmoussaoui ◽  
Kaltoum Boutahar ◽  
Abdesslam El Kardoudi ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Glycaemic Control ◽  
Hba1c Level ◽  
Associated Factors ◽  
Bivariate Analysis ◽  
Cross Sectional ◽  
Poor Glycaemic Control ◽  
Duration Of Diabetes ◽  
Diabetes Patients

Abstract Background Diabetes remains poorly controlled in a high proportion of diabetes patients. This study examines the prevalence of poor glycaemic control and associated factors in type 2 diabetes patients in the Beni-Mellal Khenifra region in Morocco. Methods A cross-sectional survey was conducted in 2017 among 1456 diabetes patients attending primary health centres. Demographic and clinical data were collected through face-to-face interviews using structured and pre-tested questionnaires. Anthropometric measurements, including body weight, height and waist circumference were taken using standardized techniques and calibrated equipment. Glycaemic control was assessed in terms of the glycated haemoglobin (HbA1c) level and poor glycaemic control was defined as HbA1c ≥7% and a level <7% reflects good glycaemic control. Results Of the total participants, 66.3% had poor glycaemic control. Bivariate analysis showed that sex (p=0.010), education level (p=0.013), body mass index (p=0.048), duration of diabetes (p<0.0001) and type of therapeutic regimen (p<0.0001) were significantly associated with HbA1c level. However, multiple logistic regression analyses revealed that only a longer duration of diabetes (OR 1.525 [95% confidence interval {CI} 1.183–1.967], p=0.001) and receiving insulin therapy alone (OR 1.589 [95% CI 1.157–2.183], p=0.004) or a combination of oral antidiabetics with insulin (OR 2.554 [95% CI 1.786–3.653], p<0.001) were significantly associated with inadequate glycaemic control. Conclusions Despite the particularities of the region, the findings about glycaemic control and its cross-sectionally associated factors are in line with findings from other regions of Morocco. In this subgroup, the longer duration of diabetes and insulin treatment could constitute a cause leading to poor glycaemic control. However, inverse causality cannot be excluded.

scholarly journals Assessment of glycaemic control in patients with type 2 diabetes: a clinic-based study in a slum of Kolkata

2018 ◽  
Vol 5 (11) ◽  
pp. 4768
Author(s):  
Tania Pan ◽  
Aparajita Dasgupta ◽  
Sweta Suman ◽  
Bobby Paul ◽  
Rajarshi Banerjee ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Glycaemic Control ◽  
Urban Health ◽  
Health Centre ◽  
Diabetic Patients ◽  
Cross Sectional ◽  
Poor Glycaemic Control ◽  
Duration Of Diabetes ◽  
Urban Health Centre

Background: Although diabetes is a chronic condition, it can be controlled and managed to prevent complications. Long-standing diabetes with poor glycaemic control leads to many complications. This study aims to assess the glycaemic control status and its associated factors among type 2 diabetes patients attending Urban Health Centre in a slum of Kolkata, West Bengal.Methods: A clinic-based cross-sectional study was conducted among 184 diabetic patients attending clinic at Urban Health Centre, Chetla from October-December 2017. Each respondent was interviewed using a structured schedule to collect data on sociodemographic characteristics, physical activity, disease profile and self-care activities. Height and weight were measured. Individuals with PPBS ≥160 mg/dl were said to have poor glycaemic control. Data entry and analysis was done using SPSS version 16.0.Results: Out of 184 participants, 37.5% had poor glycaemic control. Mean (±SD) age of the participants was 51.64 (9.64) years. Median duration of diabetes was 4 years. 104 (56.5%) had overweight/ obesity. Only 26.6% had satisfactory dietary practice. Test results revealed ≥4 years duration of diabetes, overweight/ obesity, smoking, unsatisfactory diet and non-adherence to medications as significant predictors of poor glycaemic control, explaining 31.6% of the variance of glycaemic control with non-significant Hosmer–Lemeshow statistics.Conclusions: The study has identified factors associated with poor glycaemic control among the study participants. Emphasis on promoting a healthy lifestyle which includes a healthful eating plan, cessation of smoking, maintaining optimum body weight and strictly adhering of prescribed medications would go a long way in maintaining good glycaemic control.

scholarly journals DIABETIC FOOT CARE KNOWLEDGE AND ITS ASSOCIATED FACTORS AMONG TYPE 2 DIABETES PATIENTS

2021 ◽  
Vol 9 (8) ◽  
pp. 59-69
Author(s):  
A Gomathi ◽  
S. Kamalam ◽  
Jeevaanand N
Keyword(s):  
Type 2 Diabetes ◽  
Associated Factors ◽  
Target Organ Damage ◽  
Good Practice ◽  
Health Centre ◽  
Care Practice ◽  
Foot Care ◽  
Cross Sectional ◽  
Diabetes Patients

Background: Diabetes is traditionally known as a “silent disease,” exhibiting no symptoms until it progresses to severe target organ damage. Aims & Objective: The study was conducted to determine the knowledge of foot care ,knowledge regarding foot care practice and its associated factors among type 2 diabetes patients. Material and Methods: A Community based cross-sectional study was conducted at a primary health centre, Pondicherry, 107 subjects were selected by convenience sampling technique. Data was collected from December 2020 to March 2021, among type 2 diabetes who attended the diabetic clinic. A validated pretested questionnaire was used to assess the knowledge of foot care, knowledge regarding foot care practice and its associated factors among type 2 diabetes patients. Data was analysed using SPSS 21. Results: Among 107 diabetes patients 68(75.6%) of them had poor knowledge and only 2 (2.2%) of them had good practice. There was highly significant (p<0.001) relationship between knowledge of foot care and knowledge regarding foot care practice scores. There was highly significant association (p<0.05) between the knowledge of foot care with selected demographic variables of gender, occupation, alcohol consumption, regularity of treatment and source of information. Conclusions: It is a need of the hour to conduct health education programme to create awareness among rural people for better glycaemic control and prevention of ulcer foot in type 2 diabetes mellitus patients.

scholarly journals Glycaemic control in type 2 diabetes patients and its predictors: a retrospective database study at a tertiary care diabetes centre in Ningbo, China

BMJ Open ◽  
2018 ◽  
Vol 8 (3) ◽  
pp. e019697 ◽  
Author(s):  
Jialin Li ◽  
Kaushik Chattopadhyay ◽  
Miao Xu ◽  
Yanshu Chen ◽  
Fangfang Hu ◽  
...  
Keyword(s):  
Physical Activity ◽  
Type 2 Diabetes ◽  
Glycaemic Control ◽  
Rural Areas ◽  
Tertiary Care ◽  
Fasting Blood Glucose ◽  
Information Management System ◽  
Cross Sectional ◽  
Poor Glycaemic Control

ObjectivesThe objectives of the study were to assess glycaemic control in patients with type 2 diabetes (T2DM) at a tertiary care diabetes centre in Ningbo, China and to determine factors that independently predict their glycaemic control.DesignRetrospective cross-sectional study using an existing database, the Diabetes Information Management System.SettingTertiary care diabetes centre in Ningbo, China.ParticipantsThe study included adult patients with T2DM, registered and received treatment at the diabetes centre for at least six consecutive months. The study inclusion criteria were satisfied by 1387 patients, from 1 July 2012 to 30 June 2017.Primary outcome measureGlycaemic control (poor was defined as glycated haemoglobin (HbA1c)>=7% or fasting blood glucose (FBG)>7.0 mmol/L).ResultsIn terms of HbA1c and FBG, the 5-year period prevalence of poor glycaemic control was 50.3% and 57.3%, respectively. In terms of HbA1c and FBG, the odds of poor glycaemic control increased with the duration of T2DM (>1 to 2 years: OR 1.84, 95% CI 1.06 to 3.19; >2 to 4 years: 3.32, 1.88 to 5.85 and >4 years: 5.98, 4.09 to 8.75 and >1 to 2 years: 2.10, 1.22 to 3.62; >2 to 4 years: 2.48, 1.42 to 4.34 and >4 years: 3.34, 2.32 to 4.80) and were higher in patients residing in rural areas (1.68, 1.24 to 2.28 and 1.42, 1.06 to 1.91), with hyperlipidaemia (1.57, 1.12 to 2.19 and 1.68, 1.21 to 2.33), on diet, physical activity and oral hypoglycaemic drug (OHD) as part of their T2DM therapeutic regimen (1.80, 1.01 to 3.23 and 2.40, 1.36 to 4.26) and on diet, physical activity, OHD and insulin (2.47, 1.38 to 4.41 and 2.78, 1.58 to 4.92), respectively.ConclusionsMore than half of patients with T2DM at the diabetes centre in Ningbo, China have poor glycaemic control, and the predictors of glycaemic control were identified. The study findings could be taken into consideration in future interventional studies aimed at improving glycaemic control in these patients.

scholarly journals INTEGRA study protocol: primary care intervention in type 2 diabetes patients with poor glycaemic control

2019 ◽  
Vol 20 (1) ◽  
Author(s):  
Àngels Molló ◽  
Anna Berenguera ◽  
Esther Rubinat ◽  
Bogdan Vlacho ◽  
Manel Mata ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Primary Care ◽  
Glycaemic Control ◽  
Study Protocol ◽  
Poor Glycaemic Control ◽  
Care Intervention ◽  
Diabetes Patients

scholarly journals Poor glycaemic control in Brazilian patients with type 2 diabetes attending the public healthcare system: a cross-sectional study

BMJ Open ◽  
2013 ◽  
Vol 3 (9) ◽  
pp. e003336 ◽  
Author(s):  
Luciana V Viana ◽  
Cristiane B Leitão ◽  
Caroline K Kramer ◽  
Alessandra T N Zucatti ◽  
Deborah L Jezini ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Glycaemic Control ◽  
Cross Sectional Study ◽  
Public Healthcare ◽  
Sectional Study ◽  
Cross Sectional ◽  
Poor Glycaemic Control ◽  
The Public ◽  
System A

scholarly journals Prevalence and Clinical Characteristics of Nonalcoholic Liver Disease in Type 2 Diabetes Mellitus Patients: A Cross-sectional Study

2021 ◽  
Author(s):  
Lakshmi Ravansamudram Hariharan ◽  
Jayanty Venakata Balasubra Maniyan
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Liver Disease ◽  
Blood Glucose ◽  
Glycaemic Control ◽  
Clinical Characteristics ◽  
Cross Sectional ◽  
Duration Of Diabetes

Introduction: A refined diagnostic and classification strategy incorporating phenotypic characteristics of patients with Type 2 Diabetes Mellitus (T2DM) along with their blood glucose profile, lipid levels and evidence of Nonalcoholic Fatty Liver Disease (NAFLD) will help in identifying high risk population. Aim: To determine the prevalence and assess the clinical characteristics of NAFLD in T2DM patients from August 2016 to February 2017. Materials and Methods: This cross-sectional analysis was conducted on 100 T2DM patients with no history of alcohol intake, at the time of their screening. Physical examination and anthropometric measurements such as Body Mass Index (BMI) and Waist to Hip Ratio (WHR) were calculated. Fasting Blood Glucose (FBG), Post-Prandial Blood Glucose (PPBG), glycated haemoglobin (HbA1c), serum bilirubin, liver enzymes, lipid profile and ultrasound of the abdomen to diagnose NAFLD were done. Statistical analysis was carried out using student’s t-test and Statistical Package for the Social Sciences (SPSS) Version 19. Results: The prevalence of NAFLD in T2DM patients was 52%. The mean age was 52.27±1.82 years, with 40% males in the study cohort. There was a significant statistical correlation between the higher BMI (p<0.001), higher WHR (p=0.046), prevalence of upper body obesity (p<0.001) and the presence of NAFLD. The glycaemic control was poorer in patients with NAFLD with higher FBG (p=0.0027), PPBG (p=0.0027) and HbA1c p<0.001) than the non-NAFLD group. The serum cholesterol, triglycerides, Serum Glutamic Pyruvic Transaminase (SGPT), Serum Glutamic Oxaloacetic Transaminase (SGOT) were significantly higher in the NAFLD group. Duration of diabetes was not significantly different among the groups. Conclusion: The incidence of NAFLD is common in T2DM patients with poor glycaemic control, dyslipidaemia, and obesity being associated factors. Duration of diabetes is not a significant predictor of NAFLD.

scholarly journals Extent and Predictors of Poor Glycaemic Control among Elderly Pakistani Patients with Type 2 Diabetes Mellitus: A Multi-Centre Cross-Sectional Study

Medicina ◽  
2019 ◽  
Vol 55 (1) ◽  
pp. 21
Author(s):  
Muhammad Atif ◽  
Quratulain Saleem ◽  
Saima Asghar ◽  
Iram Malik ◽  
Nafees Ahmad
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Glycaemic Control ◽  
Self Care ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Poor Glycaemic Control

Objectives: This study aimed to explore the relationship between glycaemic control and factors that may influence this among elderly type 2 diabetes mellitus (T2DM) patients in Lahore, Pakistan. Methods: This descriptive, cross-sectional study was conducted at the Jinnah and Sir Ganga Ram Hospitals, Lahore using convenience sampling techniques between 1 December 2015 and 28 February 2016. The sample consisted of elderly (>65 years) T2DM patients. Glycaemic values and patient characteristics were obtained from medical charts. Consenting patients were interviewed to complete the Barthel Index, Lawton Instrumental Activities of Daily Living Scale, Clinical Frailty Scale, Iowa Pain Thermometer Scale, Geriatric Depression Scale, Montreal Cognitive Assessment tool, Mini Nutritional Assessment Scale—Short Form and Self Care Inventory—Revised Version. Multiple logistic regression analysis was carried out to determine the predictors of poor glycaemic control. Results: A total of 490 patients were approached and 400 agreed to participate. Overall, nearly one-third (32.2%, n = 129) of patients had glycated haemoglobin (HbA1c) at the target level. Fasting and random plasma glucose levels were within the target range to much the same extent; (36.8%, n = 147) and (27%, n = 108), respectively. HbA1c levels were also higher in patients with co-morbidities (67.4%, n = 229) with diabetes-related complications (73.5%, n = 227). Significant predictors of impaired glycaemic control (HbA1c) included poor diabetes self-care (adjusted odds ratio (AOR) 0.96; 95% confidence interval (CI) 0.95, 0.98), not being prescribed oral hypoglycaemic agents (OHA) (AOR 6.22; 95% CI 2.09, 18.46), regular hypoglycaemic attacks (AOR 2.53; 95% CI 1.34, 4.81) and falling tendency (AOR 0.19; 95% CI 0.10, 0.36). Conclusions: Poor glycaemic control prevailed among the majority of elderly Pakistani diabetic patients in this study. Triggering factors of poor glycaemic control should be taken into consideration by the healthcare professionals in targeting multifaceted interventions to achieve good glycaemic control.

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