The Association of Clinical Characteristics and Lifestyle Habits with Poor Glycemic Control in Patients with Type 2 Diabetes Mellitus

Marjanovic, M.; Đido, Vedran; Lang, Valerija Bralić; Martinović, Željko; Ovčina, Amer

doi:10.24018/ejmed.2021.3.1.676

Cited by 2 publications

(2 citation statements)

References 26 publications

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“…Moreover, in agreement with one study this study found that alcohol consumption was significantly associated with poor GC [ 33 ]. However, other studies [ 34 , 35 ] report alcohol consumption improves GC.…”

Section: Discussionsupporting

confidence: 92%

Poor glycemic control and its associated factors among diabetes patients attending public hospitals in West Shewa Zone, Oromia, Ethiopia: An Institutional based cross-sectional study

Abdissa

Hirpa

2022

Metabolism Open

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Purpose Diabetes mellitus (DM) is increasing at an alarming rate throughout the world and its complications of has become a major public health concern in all countries. Glycemic control is the most important predictor for DM related complications and deaths. However information on glycemic control remains scarce in Ethiopia including our study area. Hence, the aim of this study was to assess the magnitude and factors associated with poor glycemic control among diabetic outpatients at West Shewa public Hospitals, Ethiopia. Methods A facility-based cross-sectional study was conducted from June 01 to September 30, 2020. Poor glycemic control was assessed by glycated hemoglobin level and a systematic random sampling method was employed to select participants. An interviewer-administered structured questionnaire was used and the data entered into Epi data version 3.1 and exported into SPSS version 22 for analysis. Logistic regression was conducted to identify predictors of poor glycemic control. A p-value of <0.05 was considered statistically significant. Results A total of 390 participants were involved in the study with mean age of 46.45 (±15.6) years. The study finding showed that the prevalence of poor glycemic control was found to be 63.8%. Age of ≥50 years (AOR = 2.77; 95% CI: 0.15,0.85), being single (AOR = 2.55; 95% CI: 0.179,.857), having high low-density lipoprotein cholesterol (AOR = 3.44; 95% CI: 1.65, 7.12), being female gender (AOR = 2.4; 95%CI: 0.31,0.816), alcohol intake (AOR = 1.88; 95% CI: 1.135, 3.1) and presence of diabetic peripheral neuropathy (AOR = 1.24; 1.1,1.39) were associated with poor glycemic control. Conclusion About two-thirds of participants had poor blood glucose control. Increased age, high low-density lipoprotein cholesterol, family history of diabetes, being single, being female, diabetic peripheral neuropathy and alcohol intake were associated with poor glycemic control. Hence, effort should be made towards reducing these factors among DM patients by the concerned body.

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Section: Discussionsupporting

confidence: 92%

Poor glycemic control and its associated factors among diabetes patients attending public hospitals in West Shewa Zone, Oromia, Ethiopia: An Institutional based cross-sectional study

Abdissa

Hirpa

2022

Metabolism Open

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“…People with T2D are at elevated risk for suffering different types of cancer, cardiovascular comorbidities, and intravascular complications including nephropathy, retinopathy, and neuropathy, due to hyperglycemia, which sometimes results in insulin resistance (metabolic) syndrome [2]. A variety of lifestyle variables have been linked to the growth of T2D such as a sedentary lifestyle, physical inactivity, food habit, stress, and excessive alcohol use [3]. Globally, diabetes mellitus impacted 285 million adult people in 2021 and is expected to affect 683 million by 2030 [4].…”

Section: Introductionmentioning

confidence: 99%

Serological and Oncoinformatic Analysis of HbA1c as a Prognostic Biomarker in Screening the Risks of Different Cancers among the Male T2D Patients of Bangladesh

Hasibuzzaman¹,

Azad²,

Mia³

et al. 2022

Preprint

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This research aimed to figure out the applications of HbA1c protein and HbA1 gene as the prognostic biomarkers for assessing the risks of different cancers among male T2D patients in Bangladesh considering their serological and oncoinformatic parameters. Depending on the concentrations of HbA1c (%) of the T2D patients (n=300), their individual FBS (mmol/L); THABF (mmol/L); creatinine (mg/dl); SC (mg/dl); STGs (mg/dl); HDLC (mg/dl); and LDLC (mg/dl) were estimated. The values of the patients were compared with the control (n=60) group as the serological analysis. Besides, HbA1 gene (encoding hBA1c protein) overexpression and promotor methylation responsible for BLCA, BRCA, CHOL, COAD, LUAD, LUSC, PAAD, and PRAD cancers in the male T2D patients were profiled as the oncoinformatic parameters based on the sample types; caner stages; racial footprints; gender; age; nodal metastasis; p53 methylations; pancreatitis; diabetes status; smoking behaviors; and overall/disease-free survivability. Finally, the ‘HbA1 gene strings’ responsible for genetic coexpression; endophytic vesicle regulation; antioxidant regulation; oxygen species metabolic regulation; and gene-mediated response to the reactive oxygen molecules were studied comprehensively. A strong correlation between BMI and FBS was observed in both the patients and the control (P<0.0001). Similarly, the values of FBS, THABF, and creatinine resulted in equal significance (P<0.0001) as compared to the HbA1c concentrations of all the T2D and control individuals. The SC, STGs, HDLC, and LDLC concentrations regulated ardently in both the control (P<0.0001), and patients group (P<0.0001), while HbA1c ranged from 3.8-5.8%, and 5.11-15.8% respectively. HbA1 gene is found downregulating with cancer progressed in most of the oncoinformatic parameters. According to the DA, CS, EI, CE, PC, NC, GF, H, and AT profiles; the HbA1 gene interacts with 8 other genes responsible for creating a protein cluster comprising- AHSP, HBA1, HBA2, HBB, HBD, HBE1, HBG2, RPS12, and RPS19 proteins for cancer formation. To recapitulate, HbA1c protein and HbA1 gene can be used as the prognostic serological and molecular biomarkers respectively for determining the risks of cancers among male chronic T2D patients.

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The Association of Clinical Characteristics and Lifestyle Habits with Poor Glycemic Control in Patients with Type 2 Diabetes Mellitus

Cited by 2 publications

References 26 publications

Poor glycemic control and its associated factors among diabetes patients attending public hospitals in West Shewa Zone, Oromia, Ethiopia: An Institutional based cross-sectional study

Poor glycemic control and its associated factors among diabetes patients attending public hospitals in West Shewa Zone, Oromia, Ethiopia: An Institutional based cross-sectional study

Serological and Oncoinformatic Analysis of HbA1c as a Prognostic Biomarker in Screening the Risks of Different Cancers among the Male T2D Patients of Bangladesh

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