Nutritional Practices and their Relationship with Body Mass Index (BMI) among Adult Patients with Diabetes Mellitus 2 DM2), Instituto Nacional del Diabético (INADI), Tegucigalpa, Honduras

2019 ◽  
Vol 119 (9) ◽  
pp. A29
Author(s):  
B. Corrales ◽  
M. Sierra ◽  
D. Rojas
2021 ◽  
Vol 2 (4) ◽  
pp. 201-205
Author(s):  
Emori Christina Simarmata ◽  
Tasya Armadinah ◽  
Yeni Puspawani ◽  
Juliana Lina

Body mass index (BMI) is a simple method that is commonly used to determine whether a person is obese or not.  Diabetes mellitus is a disorder of the metabolic system because the pancreas cannot produce enough insulin or the body's cells cannot use insulin effectively. Diabetic foot is one of the chronic complications of diabetes mellitus (DM). Diabetic foot begins with hyperglycemia which causes abnormalities in neuropathy and blood vessels, causing infection. To determine the proportion of body mass index in patients with diabetes mellitus, to determine the prevalence of diabetic feet and non-foots. The research design used in this study is observational analytic. There is a relationship between body mass index and the risk of diabetic foot in type 2 DM patients at Royal Prima Hospital. Prevalence of body mass index 23. 0 in DM Type 2 at Royal Prima Hospital Medan in 2018-2020 reached 70%. The prevalence of diabetic foot in Type 2 DM at the Royal Prima Hospital Medan in 2018-2020 reached 54%.


2019 ◽  
Author(s):  
Wondimeneh Shibabaw Shiferaw ◽  
Tadesse Yirga Akalu ◽  
Yared Asmare Aynalem

AbstractBackgroundMortality and morbidity in patients with diabetes mellitus (DM) is attributed to both the micro-vascular and macro-vascular complications. Variation among primary studies was seen on the prevalence of erectile dysfunction in Africa. Therefore, this study was aimed to estimate the pooled prevalence of erectile dysfunction patients with diabetes mellitus and its association with body mass index and glycated hemoglobin in Africa.MethodsPubMed, Web of Science, Cochrane library, Scopus, Psyinfo, Africa online journal and Google Scholar were searched. A funnel plot and Egger’s regression test were used to see publication bias. I-squared statistic was used to check heterogeneity of studies. DerSimonian and Laird random-effects model was applied to estimate the pooled effect size. The subgroup and Meta regression analysis were conducted by country, sample size, and year of publication. Sensitivity analysis was deployed to see the effect of single study on the overall estimation. STATA version 14 statistical software was used for meta-analysis.ResultA total of 20 studies with 5,177 study participants were included to estimate the pooled prevalence. The pooled prevalence of erectile dysfunction patients with diabetes mellitus was 61.62% (95% CI: 48.35–74.9). BMI ≥ 30kg/m2 (AOR = 1.26; 95% CI: 0.73 –2.16), and glycated hemoglobin ≥ 7% (AOR = 0.93; 95% CI: 0.5–5.9), were identified factors though not statistically significant associated with erectile dysfunction.ConclusionsThe prevalence of erectile dysfunction in Africa remains high. Therefore, situation based interventions and country context specific preventive strategies could be developed to reduce the magnitude of erectile dysfunction among patients with diabetes mellitus.


Author(s):  
Gabriela Mut-Vitcu ◽  
Iuliana-Claudia Hudrea ◽  
Svetlana Moşteoru ◽  
Laura Gaiţă ◽  
Dan Gaiţă

2020 ◽  
Vol 2020 ◽  
pp. 1-10 ◽  
Author(s):  
Wondimeneh Shibabaw Shiferaw ◽  
Tadesse Yirga Akalu ◽  
Yared Asmare Aynalem

Background. Mortality and morbidity in patients with diabetes mellitus (DM) are attributed to both microvascular and macrovascular complications. However, there is a significant amount of variation in the primary studies on DM regarding the prevalence of erectile dysfunction (ED) in Africa. Therefore, this study was aimed to estimate the pooled prevalence of ED patients with DM and its association with body mass index (BMI) and glycated hemoglobin in Africa. Methods. PubMed, Web of Science, Cochrane Library, Scopus, PsycINFO, African Journals Online, and Google Scholar were searched for studies that looked at ED in DM patients. A funnel plot and Egger’s regression test were used to determine publication bias. The I2 statistic was used to check heterogeneity between the studies. DerSimonian and Laird random-effects model was applied to estimate the pooled effect size. The subgroup and meta-regression analyses were conducted by country, sample size, and year of publication. Sensitivity analysis was deployed to see the effect of a single study on the overall estimation. STATA version 14 statistical software was used for the meta-analysis. Result. A total of 13 studies with 3,501 study participants were included in this study. We estimated that the pooled prevalence of ED in patients with DM in Africa was 71.45% (95% CI: 60.22–82.69). Diabetic patients whose BMI was ≥30 kg/m2 were 1.26 times more likely to develop ED (AOR = 1.26; 95% CI: 0.73–2.16) and whose glycated hemoglobin was <7% were 7% less likely to develop ED (AOR = 0.93; 95% CI: 0.5–5.9), although they were not significantly associated with ED. Conclusions. The prevalence of ED in DM patients in Africa remains high. Therefore, situation-based interventions and country context-specific preventive strategies should be developed to reduce the prevalence of ED among patients with DM.


Author(s):  
Anna Kohut ◽  
Maryna Bobryk ◽  
Julia Komisarenko ◽  
Oleg Chaban

Introduction. Diabetes mellitus 2 type has become a global health problem and is by far one of the most common chronic diseases, so there is an urgent need to provide high quality medical and social care to this patient population. It is known that this group of patients is characterized by a number of specific features that distinguish them and create difficulties for physicians in the treatment process. Purpose. Study has been devoted to the comprehensive assessment of affecting factors on the quality of life of patients with type 2 Diabetes Mellitus (T2DM) in relationship with their psychological status indicators and level of compliance. Materials and Methods. Study population consisted of T2DM (n=40) equivalented by the indicators of age, body mass index, blood pressure, laboratory level of blood glucose and glycated hemoglobin (HbA1c). All patients signed a voluntary informed consent before the study. Study data has been collected using informed patients form and 6 validated psychometric scales: Chaban Quality of Life Scale (CQLS), Medication Compliance Scale (MCS), Toronto Alexithymia Scale (TAS-20), Dysfunctional Attitudes Scale (DAS), Depression, Anxiety and Stress Scale (DASS-21)) and Holmes and Rahe Stress Scale (HRSS). Glycemic control has been based on HbA1c results and blood glucose level.  Results.  Statistically significant difference has been found between the groups of the patients with high, middle and low level of their commitment to therapy according to MCS results. A significant correlation has been found between the following indicators: HbA1c and body mass index of patients with T2DM (p = .19; r = .368) and presence of alexithymia (p = .039; r = - .328). Depending on the level of quality of life with numeral scores of results with other scales: MCS (p = .361; r = .022); DAS (p = .027; r = - .350), stress level (DASS - 21) (p = .038; r = - .339), depression (DASS - 21) (p = .002; r = -. 471) and HRSS (p = .006; r = - .425). Conclusion: Psychological indicators identified by results of research such as, level of: compliance, cognitive distortions, depression, stress resistance and social adaptation — affected quality of life of T2DM patients, as well as indicators of alexithymia, anxiety, and quality of life affected the level of their commitment to treatment. Patients with low level of compliance and quality of life had the increased risk of treatment non-efficiency as a result. Therefore,  multidisciplinary approach in the treatment of each individual patient, would potentially improving the adherence and effectiveness of T2DM treatment


2001 ◽  
Vol 2 (2) ◽  
pp. 55
Author(s):  
K.M. Yafasov ◽  
S.I. Ismailov ◽  
N.Z. Sirozhiddinova ◽  
N.V. Dubyanskaya ◽  
Yu.V. Dubyanskaya

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