scholarly journals Diabetes Self-Care Activities and Glycaemic Control among Adults with Type 2 Diabetes in Sri Lanka: A Cross-Sectional Study

2019 ◽  
Vol 07 (05) ◽  
pp. 99-111
Author(s):  
Meerigama Arachchige Rasoda Saumika ◽  
Thamara Dilhani Amarasekara ◽  
Rasika Jayasekara
Keyword(s):  
Type 2 Diabetes ◽  
Sri Lanka ◽  
Glycaemic Control ◽  
Self Care ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional

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.

scholarly journals Imputing HbA1c from capillary blood glucose levels in patients with type 2 diabetes in Sri Lanka: a cross-sectional study

BMJ Open ◽  
2020 ◽  
Vol 10 (7) ◽  
pp. e038148
Author(s):  
Monica Choo ◽  
Gregory E. Hoy ◽  
Sarah P. Dugan ◽  
Laura N. McEwen ◽  
Naresh Gunaratnam ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Blood Glucose ◽  
Sri Lanka ◽  
Glycaemic Control ◽  
Cross Sectional Study ◽  
Capillary Blood ◽  
Capillary Blood Glucose ◽  
Sectional Study ◽  
Cross Sectional

ObjectiveTo develop a population-specific methodology for estimating glycaemic control that optimises resource allocation for patients with diabetes in rural Sri Lanka.DesignCross-sectional study.SettingTrincomalee, Sri Lanka.ParticipantsPatients with non-insulin-treated type 2 diabetes (n=220) from three hospitals in Trincomalee, Sri Lanka.Outcome measureCross-validation was used to build and validate linear regression models to identify predictors of haemoglobin A1c (HbA1c). Validation of models that regress HbA1c on known determinants of glycaemic control was thus the major outcome. These models were then used to devise an algorithm for categorising the patients based on estimated levels of glycaemic control.ResultsTime since last oral intake other than water and capillary blood glucose were the statistically significant predictors of HbA1c and thus included in the final models. In order to minimise type II error (misclassifying a high-risk individual as low-risk or moderate-risk), an algorithm for interpreting estimated glycaemic control was created. With this algorithm, 97.2% of the diabetic patients with HbA1c ≥9.0% were correctly identified.ConclusionsOur calibrated algorithm represents a highly sensitive approach for detecting patients with high-risk diabetes while optimising the allocation of HbA1c testing. Implementation of these methods will optimise the usage of resources devoted to the management of diabetes in Trincomalee, Sri Lanka. Further external validation with diverse patient populations is required before applying our algorithm more widely.

scholarly journals Assessment of Self-Care Practices among Type 2 Diabetes Patients at a Tertiary Care Hospital - A Cross-Sectional Study

2020 ◽  
Vol 9 (36) ◽  
pp. 2630-2635
Author(s):  
Aaliya Rukhsar Mohammad Ashfaque ◽  
Najnin Khanam ◽  
Farhan Khan ◽  
Rutuj Narendra Waghmare ◽  
Shobha Kanhaiyalal Joshi
Keyword(s):  
Type 2 Diabetes ◽  
Tertiary Care Hospital ◽  
Tertiary Care ◽  
Self Care ◽  
Cross Sectional Study ◽  
Care Hospital ◽  
Sectional Study ◽  
Cross Sectional ◽  
Care Practices

The association of food insecurity with diabetes control and self-care in diabetes type 2 patients: A cross-sectional study

2020 ◽  
Author(s):  
Marjan Mohammadi ◽  
Seyyed Abolghasem Djazayeri ◽  
Asal Ataie Jafari
Keyword(s):  
Type 2 Diabetes ◽  
Glycemic Control ◽  
Food Insecurity ◽  
Self Care ◽  
Cross Sectional Study ◽  
Diabetes Control ◽  
Poor Glycemic Control ◽  
Sectional Study ◽  
Cross Sectional

Abstract Background Food insecurity can increase risks of health and nutritional problems, leading to difficulties in self-care and poor glycemic control in diabetic patients. This study assessed food insecurity and its association with diabetes control and self-care in type 2 diabetes patients. Methods In this cross sectional study, 148 adults with type 2 diabetes participated. Food insecurity and self-care were determined using the 18-item USDA household food security status questionnaire and self-care (SDSCA) questionnaire. Data were analyzed using logistic and linear regression tests (SPSS 20 software). Results Thirty-seven percent of the participants were food-insecure and significantly more likely than food-secure participants to have poor glycemic control (OR = 3.02; CI: 1.45–2.65). No significant association was found between food-insecurity and overall self-care score. Conclusion Food-insecurity was directly associated with poor glycemic control in type 2 diabetes patients. Since economic status was significantly better in the food-secure group, it can be postulated that financial problems will eventually lead to poor glycemic control. Policy strategies to increase access to diabetes-appropriate foods may reduce socioeconomic inequalities in glycemic control.

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