scholarly journals Self-care and clinical parameters in patients with type 2 diabetes mellitus

Rev Rene ◽  
2015 ◽  
Vol 16 (4) ◽  
pp. 479
Author(s):  
José Thiago de Sousa ◽  
Suyanne Freire de Macêdo ◽  
Jayne Ramos Araújo Moura ◽  
Ana Roberta Vilarouca da Silva ◽  
Eduardo Emanuel Sátiro Vieira ◽  
...  

To verify characteristics related to self-care and clinical parameters in patients with type 2 diabetes mellitus. Methods: descriptive and exploratory, cross-sectional study, conducted with 173 patients assisted in 12 Family Health Units in the urban area of a city in the Northeast region of Brazil. Results: most participants (61.3%) were female, aged less than 60 years old. There were significant differences in the lower glycemic control (p = 0.014), capillary glycemia (p = 0.018) and alcohol consumption (p = 0.015) for men as well as higher central obesity indexes for women (p = 0.000). It was observed high frequency of overweight, abdominal obesity, high blood pressure, elevated blood glucose levels and insufficient levels of physical activity. Conclusion: there is the need for nursing actions aimed at improving self-care and control of the clinical parameters in these patients.

2021 ◽  
Vol 9 (2) ◽  
pp. 140-144
Author(s):  
Andrew Thomas ◽  
Mohan T. Shenoy ◽  
K.T. Shenoy ◽  
Nirmal George

Background: The effectiveness of self-monitoring of blood glucose (SMBG) in type 2 diabetes mellitus (T2DM) patients is debated in the literature. We aimed at elucidating the association and patterns of complications between SMBG use and plasma glucose values. Methods: This cross-sectional study comprised 303 participants from outpatient departments with T2DM for over 12 months. We analyzed sociodemographic and clinical variables including: anthropometry, SMBG use, disease duration, treatment modality, complications, plasma glucose level, and glycated hemoglobin level (%). Results: The mean duration of T2DM was 93±76 months. Participants were grouped into SMBG users (n=115, 38%) and non-SMBG users (n=188, 62%). The mean fasting plasma glucose levels of SMBG and non-SMBG users were 140.7±42.7 (95% Confidence Interval [95%CI]: 132.72;148.67) mg/dl and 145.4±50 (95%CI: 138.12;152.67) mg/dl (p=0.03), respectively. The mean post-prandial plasma glucose levels of the SMBG and non-SMBG groups were 202±63.42 (95%CI: 190.23;213.76) mg/dl and 209±84.54 (95%CI: 196.56;221.43) mg/dl (p=0.002), respectively. The mean difference in HbA1c among the groups were 8.14±1.69% (95%CI: 7.59;8.68) and 8.15±1.98% (95%CI: 7.27;9.02) (p=0.4), respectively. Hypoglycemia (n=50, 43.5%) was the most common complication. The prevalence of neuropathy (n=5, 4.3%, p=0.036) and cardiovascular disease (n=21, 18.3%, p=0.042) were significantly higher in the SMBG group. Conclusion: Although plasma glucose values were significantly lower in the SMBG group, its clinical significance remains questionable. Furthermore, many participants in both the groups had shortfalls in awareness, monitoring, and glycemic control. SMBG use needs to be evaluated in a cohort of patients with T2DM with adequate health awareness.


2019 ◽  
Vol 7 (5) ◽  
Author(s):  
Tri Prasetyorini ◽  
Karningsih Sudiro ◽  
Bagya Mujianto ◽  
Rus Martini

Introduction and Aims : Untransmitted diseases is the leading cause of death globally. Diabetes mellitus is one of the four priorities of untransmitted diseases. This disease is a chronic disease characterized by blood glucose levels that exceed normal values. High blood sugar levels (hyperglycemia) will cause various complications, one of which is chronic complications that can attack various organs such as eyes, kidneys, nerves and blood vessels. This study aims to find out the correlation between the results of the examination of HbA1c, urea and creatinine levels which is an indicator of complications of Chronic Kidney Failure in Type 2 DM patients. Methods : This research is a survey research using cross-sectional study design. The respondents in this study are Type 2 DM patients who filled out the questionnaire and examined levels of HbA1c, ureum, and creatinine. Analysis of the data performed by using the SPEARMEN test SPSS for Windows 17. Result : The result of the SPEARMEN analysis is p = 0,016 (p < 0.05) which means there is a relationship between the levels of HbA1c with age of respondent. Meanwhile, p = 0,84 (p>0,05) which means there is no relationship between HbA1c levels of type 2 DM with urea levels of type 2 DM patients. While, there is no relationship between HbA1c levels of type 2 DM with creatinine levels of type 2 DM with p = 0.693 (p > 0,05). Conclusions : There is a correlation between HbA1c levels of type 2 diabetes mellitus with the age of the respondent, but there is no correlation between HbA1c levels of type 2 diabetes mellitus with ureum levels of type 2 diabetes mellitus and there is no correlation between HbA1c levels with Creatinine levels of  type 2 diabetes mellitus patients.


2019 ◽  
Vol 19 (1) ◽  
pp. 117-125
Author(s):  
Hizlinda Tohid ◽  
Mirah Papo ◽  
Saharuddin Ahmad ◽  
Aini Simon Sumeh ◽  
Teh Rohaila Jamil ◽  
...  

Performing self-care activities can be challenging but it is important for favourable outcomes of type 2 diabetes mellitus (T2DM). It may be influenced by psychological problems. Therefore, this study examined the level of self-care activities and the presence of psychological problems among patients with T2DM. The association between these activities and the psychological problems was assessed too. This cross-sectional study was conducted at a public health clinic in Sabah. Data was collected between July and September 2017 using a validated self-administered questionnaire which include the depression, anxiety and stress scale-21 (DASS-21) and the summary of diabetes self-care activities (SDSCA) questionnaire. About 91% of 331 participants took diabetes medications in ≥6 days per week. They followed a healthful eating plan, inspected feet and exercised 30 minutes a day in 5.0 (IQR 4.0), 4.0 (IQR 7.0) and 1.0 (IQR 4.0) days per week respectively. Among owners of glucometer, the median (IQR) of monitoring blood glucose was 1.0 (1.0) days per week. The participants with depression, anxiety and stress were 4.5%, 8.8% and 5.7% respectively. Following a healthful eating plan (p<0.001) was found to be significantly associated with anxiety; those with anxiety practised this activity in fewer days than those without anxiety. Generally, self-care activities were poorly practiced by the participants, except for taking diabetes medications.  Thus, the patients should be encouraged to improve their self-care activities. Psychological problems were also found to be uncommon.  However, anxiety symptoms should not be ignored as it may negatively affect their adherence to healthy diet.


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.


Author(s):  
Dody Suprayogi ◽  
◽  
Agus Kristiyanto ◽  
Hanung Prasetya ◽  
◽  
...  

ABSTRACT Background: Diabetes can cause pathologic changes in blood vessels at various locations and can lead to stroke if cerebral vessels are directly affected. Additionally, mortality is higher and poststroke outcomes are poorer in patients with stroke with uncontrolled glucose levels. The purpose of this study was to examine the effect of type 2 diabetes mellitus in stroke. Subjects and Method: Meta analysis and systematic review was conducted by collecting published articles from PubMed, Science Direct, Google Sscholar, Mendeley, and Clinical key databases. Keywords used “Diabetes Mellitus” AND “Type 2 Diabetes Mellitus” AND “Stroke” AND “Risk Factor of Stroke” AND “Cross-sectional”. The inclusion criteria were full text and using cross-sectional study design. The articles were collected and selected by PRISMA flow chart. The quantitative data were analyzed by Review Manager 5.3. Results: Meta analysis from 6 studies reported that type 2 DM increased the risk of stroke (aOR= 1.90; 95% CI= 1.41 to 2.57; p<0.001) with heterogeneity (I2= 78%). Conclusion: Type 2 DM increases the risk of stroke. Keywords: type 2 diabetes mellitus, stroke Correspondence: Dody Suprayogi. Masters Program in Public Health, Universitas Sebelas Maret. Jl. Ir. Sutami 36A, Surakarta 57126, Central Java. Email: [email protected]. Mobile: 08562772052. DOI: https://doi.org/10.26911/the7thicph.05.46


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