Adipose tissue distribution is associated with glycaemic control and microalbuminuria in Chinese patients with type 2 diabetes: a cross-sectional study

The Lancet ◽  
2015 ◽  
Vol 386 ◽  
pp. S54
Author(s):  
Zhengyi Wang ◽  
Lin Ding ◽  
Yu Xu ◽  
Xiaolin Huang ◽  
Ying Chen ◽  
...  
Diabetes ◽  
2020 ◽  
Vol 69 (Supplement 1) ◽  
pp. 2319-PUB
Author(s):  
YUANPENG NIE ◽  
XIXIANG TANG ◽  
HAICHENG LI ◽  
TING LI ◽  
MEI LI ◽  
...  

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 ◽  
...  

2019 ◽  
Vol 07 (05) ◽  
pp. 99-111
Author(s):  
Meerigama Arachchige Rasoda Saumika ◽  
Thamara Dilhani Amarasekara ◽  
Rasika Jayasekara

Medicina ◽  
2019 ◽  
Vol 55 (1) ◽  
pp. 21
Author(s):  
Muhammad Atif ◽  
Quratulain Saleem ◽  
Saima Asghar ◽  
Iram Malik ◽  
Nafees Ahmad

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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