Binary logistic regression analysis of the association between body mass index and glycemic control in patients with type 2 diabetes mellitus: a teaching-case study

Abstract BackgroundReduced lower limb circumference due to sarcopenia in patients with type 2 diabetes mellitus (T2DM) could be a useful screening tool for arteriosclerosis. Hence, the objective of this study was to clarify the relation between lower limb circumference and other body composition factors, muscle strength, and patient characteristics,and the progression of arteriosclerosis in patients with T2DM. MethodsWe included114 patients with T2DM receiving outpatient care, and assessed body composition (lower limb circumferences including tibial rough surface-calf 26% [TRSC%]), muscle strength indicators, patient characteristics, clinical diabetic neuropathy status, and examined their associations with brachial–ankle pulse wave velocity (ba-PWV) using multiple regression analysis. Additionally, the severity of ba-PWV was classified into 1400 cm/s, 1650 cm/s, and 1963 cm/s to investigate their associations using logistic regression analysis. ResultsThe mean age was 63.12±11.96 years and participants had T2DM for 11.25±9.45 years. Body mass index (BMI), HbA1c, abnormal ankle reflex, and TRSC% were adopted in the multiple regression analysis with ba-PWV as the dependent variable. In the logistic regression analysis of ba-PWV divided by 1400 cm/s, an index of arteriosclerosis, BMI was adopted, and when divided by 1963 cm/s, a mortality risk index, BMI, abnormal ankle reflex, and TRSC% were adopted.ConclusionArteriosclerosis in patients with T2DM is associated with a decrease in lower limb circumference; TRSC% was independently associated with severe arteriosclerosis when ba-PWV was ≥1963 cm/s, which is an indicator of mortality risk. Thus, lower limb circumference in the form of TRSC% may reflect the progression of arteriosclerosis.

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Novel binary logistic regression model based on feature transformation of XGBoost for type 2 Diabetes Mellitus prediction in healthcare systems

Future Generation Computer Systems ◽

10.1016/j.future.2021.11.003 ◽

2021 ◽

Author(s):

Yalin Wu ◽

Qianjian Zhang ◽

Yaqin Hu ◽

Ko Sun-Woo ◽

Xiangyan Zhang ◽

...

Keyword(s):

Diabetes Mellitus ◽

Type 2 Diabetes ◽

Type 2 Diabetes Mellitus ◽

Logistic Regression ◽

Logistic Regression Model ◽

Binary Logistic Regression ◽

Healthcare Systems ◽

Feature Transformation ◽

Binary Logistic Regression Model

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Increased Arterial Stiffness as a Predictor for Onset and Progression of Diabetic Retinopathy in Type 2 Diabetes Mellitus

Journal of Diabetes Research ◽

10.1155/2021/9124656 ◽

2021 ◽

Vol 2021 ◽

pp. 1-9

Author(s):

Yaxin An ◽

Yuxian Yang ◽

Bin Cao ◽

Huan Dong ◽

Aihua Li ◽

...

Keyword(s):

Diabetes Mellitus ◽

Type 2 Diabetes ◽

Type 2 Diabetes Mellitus ◽

Logistic Regression ◽

Diabetic Retinopathy ◽

Regression Analysis ◽

Arterial Stiffness ◽

New Onset

Introduction. Brachial–ankle pulse wave velocity (baPWV), an indicator of arterial stiffness, has been demonstrated to be associated with type 2 diabetes mellitus (T2DM) and its vascular complications. This study was aimed at investigating the correlations of baPWV with both the presence and severity of diabetic retinopathy (DR) at baseline and at exploring the predictive role of baPWV in the new onset/progression of DR in the follow-up analysis. Methods. The prospective cohort study recruited 2,473 Chinese patients with T2DM, of whom 663 participants were finally included in the follow-up analysis. The presence and grading of DR were performed by the modified Early Treatment Diabetic Retinopathy Study. Uni- or multivariate linear and logistic regression models and Cox proportional-hazards regression analysis were conducted. Results. Of 2,473 patients with T2DM at baseline, 734 individuals were assessed to have DR and further categorized into 630 with non-sight-threatening DR (NSTDR) and 104 with STDR. In addition to the positive relationship between increased baPWV and the presence of DR, multinominal logistic regression analysis revealed that higher tertiles of baPWV were significantly related to the NSTDR (T2: OR = 1.62 (1.22, 2.15), p < 0.001 , and T3: OR = 2.58 (1.86, 3.58), p < 0.001 ) and STDR group (T3: OR = 3.87 (1.87, 8.02), p < 0.001 ). During a follow-up (mean period of 16.4 months), 111 participants had new onset/progression of DR. The cox regressions showed that high baseline baPWV was correlated with increased risk of development/progression of DR ( HR = 2.24 , 95% CI (1.24, 4.03), p = 0.007 , for T2 baPWV and HR = 2.90 , 95% CI (1.49, 5.64), p = 0.002 , for T3 baPWV) after adjustments for multiple factors. Conclusions. Our results demonstrated that baseline baPWV might be an independent predictor in new onset/worsening of DR, suggesting that increased arterial stiffness might be involved in the development of DR. Follow-up studies with a longer duration are needed.

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Association Analysis Between Different Diabetic Family History and Gender with Diagnosed Age of Type 2 Diabetes Mellitus: A Cross-sectional Study in Tianjin, China

10.21203/rs.3.rs-126128/v1 ◽

2020 ◽

Author(s):

Zhaohu Hao ◽

Xiao Huang ◽

Xiaohui Liu ◽

Rong Xu ◽

JunXin Yao ◽

...

Keyword(s):

Diabetes Mellitus ◽

Type 2 Diabetes ◽

Type 2 Diabetes Mellitus ◽

Logistic Regression ◽

Regression Analysis ◽

Family History ◽

Early Onset ◽

History Of ◽

And Gender

Abstract Background: To investigate the correlation between different diabetic family history and gender with diagnosed age of type 2 diabetes mellitus(T2DM).Methods: To register the newly diagnosed T2DM patients who were admitted to the diabetes identification center of our hospital from October 2017 to June 2020. According to whether the age of diagnosis is more than 40 years old, patients were divided into two groups (early-onset T2DM and late-onset T2DM). In the study,the DM family history was divided into five types: (a)Father DM:Only the father had diabetes in both parents;(b)Mother DM:Only the mother had diabetes in both parents;(c)Both parents DM,Both parents have DM;(d)other family history of DM (without father or mother with DM) and (e)without family history of DM.The diagnosed age with different genders and diabetic family history is compared.Multivariate logistic regression analysis was used to investigate the correlation factors of early-onset T2DM.Results: 3725 patients completed the survey. There were 589 patients (15.8%) with early-onset T2DM, and2469 patients (66.3%) had diabetic family history. The T2DM diagnosed age in male was lower than that in female(51.7 ± 11.2vs54.0 ± 10.2,t = -6.283, p<0.001).The result was also reflected in different DM family history(with Both parents DM,46.7±11.1vs48.5±10.3,t = -1.105, p=0.271;with Father DM,46.8±10.8vs49.8±11.3,t=-2.825,p=0.005;with Mother DM,50.4±10.6vs52.3±10.2,t=-2.342,p=0.019;with other DM familiy history,54.0±10.8vs55.7±9.5,t=-2.652,p=0.008;with NO DM familiy history,53.0±11.0vs55.9±9.3,t=-4.738,p<0.001).T2DM diagnosed age with both parents DM(47.5±11.0) and father DM(47.9±11.1) family history<that with mother DM family history(51.1±10.5) < that with other DM family history(54.7±10.3) and no DM family history(54.1±10.5).Logistic regression analysis indicated that gender(OR2.124,p<0.001), father DM history(OR2.7,p<0.001), mother DM history(OR1.548,p=0.001), both parents DM(OR2.844,p<0.001),BMI(OR1.106,p<0.001) and drinking history(OR0.682,p=0.002) were correlated with early-onset T2DM.Conclusion: Patients with early-onset T2DM tend to have more obvious DM family history in China. This survey shows that the parent DM family history especially father diabetes family history, male patients are diagnosed T2DM earlier.Drinking history was negatively correlated with the early-onset T2DM in male patients.We need more aggressive screening for diabetes in children with a family history of diabetes, especially in men.

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Intakes of Zinc, Potassium, Calcium, and Magnesium of Individuals with Type 2 Diabetes Mellitus and the Relationship with Glycemic Control

Nutrients ◽

10.3390/nu10121948 ◽

2018 ◽

Vol 10 (12) ◽

pp. 1948 ◽

Cited By ~ 4

Author(s):

Paula Brandão-Lima ◽

Gabrielli Carvalho ◽

Ramara Santos ◽

Beatriz Santos ◽

Natalia Dias-Vasconcelos ◽

...

Keyword(s):

Diabetes Mellitus ◽

Type 2 Diabetes ◽

Type 2 Diabetes Mellitus ◽

Glycemic Control ◽

Binary Logistic Regression ◽

Binary Logistic Regression Analysis ◽

Micronutrient Intake ◽

Calcium And Magnesium ◽

The Relationship

The role of the concomitant intake of zinc, potassium, calcium, and magnesium in the glycemic control of individuals with type 2 diabetes mellitus (T2DM) has not been extensively discussed. We evaluated the relationship between the dietary intake of these micronutrients and glycemic markers in 95 individuals with T2DM (mean age 48.6 ± 8.4 years). Hierarchical grouping analysis was used to divide the individuals into two clusters according to their micronutrient intake, and differences between clusters were statistically assessed. Effects of individual and combination intake of micronutrients on glycated hemoglobin percentage (%HbA1c) were assessed using multiple linear regression and binary logistic regression analysis. We observed a high likelihood of inadequate intake of the four micronutrients. The group with lower micronutrient intake (cluster 1) displayed higher %HbA1c (p = 0.006) and triglyceride (p = 0.010) levels. High %HbA1c showed an association with cluster 1 (odds ratio (OR) = 3.041, 95% confidence interval (CI) = 1.131; 8.175) and time of T2DM diagnosis (OR = 1.155, 95% CI = 1.043; 1.278). Potassium (β = −0.001, p = 0.017) and magnesium (β = −0.007, p = 0.015) intakes were inversely associated with %HbA1c. Reduced concomitant intake of the four micronutrients studied proved to be associated with risk of increased %HbA1c in individuals with T2DM, which was particularly predicted by magnesium and potassium intakes.

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Association between Hemoglobin and Diabetic Peripheral Neuropathy at Different Glycosylated Hemoglobin Levels in Type 2 Diabetes Mellitus Patients

10.21203/rs.3.rs-16650/v2 ◽

2020 ◽

Author(s):

Lingling Zhou ◽

Xiaojuan Xu ◽

Hui Sheng ◽

Shen Qu ◽

Ran Cui

Keyword(s):

Diabetes Mellitus ◽

Type 2 Diabetes ◽

Type 2 Diabetes Mellitus ◽

Logistic Regression ◽

Peripheral Neuropathy ◽

Glycosylated Hemoglobin ◽

Binary Logistic Regression ◽

Group 4 ◽

Group 5

Abstract Background: To investigate the possible association of diabetic peripheral neuropathy (DPN) and serum hemoglobin levels in type 2 diabetes mellitus (T2DM) patients with different glycosylated hemoglobin levels.Methods: A total of 995 patients were involved in this retrospective cross-sectional study. Laboratory medical data and electromyography results from the patients were collected. The patients were divided into five groups according to their HbA1c levels (Group 1: HbA1c ≤7%, Group 2: HbA1c 7% to ≤8%, Group 3: HbA1c 8% to ≤9%, Group 4: 9% to ≤10%, and Group 5: >10%). Differences in clinical data in the five groups were compared. Analysis of variance (ANOVA) and binary logistic regression analysis were used. All analyses were performed using SPSS 24 (SPSS Inc., Chicago, IL, USA). P value < 0.05 was considered to indicate statistical significance.Results: A correlation was found between the prevalence of DPN and anemia in both sex groups. Age, BMI, duration of diabetes, ALT, serum creatinine, TC, TG, LDL, FPG, FCP, and hemoglobin A1c differed to a statistically significant extent in different groups. Group 5 showed the highest prevalence of DPN in both sex groups. Hemoglobin levels were higher in Group 5 than in other groups, while composition of anemia was not statistically different. Binary logistic regression showed hemoglobin to be negatively related to the prevalence of DPN in Group 5 in men and in Group 4 in women.Conclusion: Hemoglobin level was negatively associated with the occurrence of DPN at the HbA1c level of >10% in men and 9 to 10% in women in T2DM patients. HbA1c must be considered in exploring the correlation between hemoglobin and DPN.

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Less Advanced Stages of Colon Cancer in Patients with Type 2 Diabetes Mellitus: an Unexpected Finding?

Experimental and Clinical Endocrinology & Diabetes ◽

10.1055/s-0031-1299704 ◽

2012 ◽

Vol 120 (04) ◽

pp. 224-228 ◽

Cited By ~ 4

Author(s):

J. Nagel ◽

S. Bücker ◽

M. Wood ◽

R. Stark ◽

B. Göke ◽

...

Keyword(s):

Diabetes Mellitus ◽

Colorectal Cancer ◽

Type 2 Diabetes ◽

Colon Cancer ◽

Type 2 Diabetes Mellitus ◽

Logistic Regression ◽

Regression Analysis ◽

Lower Risk ◽

Advanced Stages

AbstractEpidemiological studies have found an increased risk for colon cancer and faster disease progression in patients with type 2 diabetes mellitus (T2DM). We aimed to determine whether patients with T2DM are diagnosed with more advanced stages of colorectal cancer, i. e., metastasized disease (UICC III and IV), at the time of diagnosis, since such a finding may have an impact on future guidelines for patients with T2DM.A cross-sectional analysis of colorectal cancer patients was performed. Stages at diagnosis in patients with (18.0%) or without (82%) T2DM were compared using logistic regression analysis to correct for confounders.Patients with T2DM were older, more obese, and more often male (each p<0.05). Unexpectedly, patients with T2DM had a lower risk for metastasized disease at diagnosis (p=0.023). Correction for age, gender, BMI, smoking and aspirin intake in a multiple logistic regression analysis did not change the result (OR=0.57, p=0.037). When looking at individual cancer stages rather than collapsed categories, there was a trend for less advanced stages in patients with T2DM (p=0.093). Excluding stage I because of potential screening bias due to the introduction of (insurance-covered) colonoscopy screening improved model fit, and confirmed less advanced cancer stages (p=0.0246).Possibly because of earlier detection, patients with T2DM may be at lower risk for advanced stages of colon cancer at diagnosis. Further studies are warranted to confirm our results and to investigate the impact of closer medical surveillance in patients with type 2 diabetes mellitus.

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Correlation of Serum Vaspin, Omentin-1, and adiponectin with metabolic phenotypes in Type-2 diabetes mellitus patients

Pakistan Journal of Medical Sciences ◽

10.12669/pjms.37.7.4330 ◽

2021 ◽

Vol 37 (7) ◽

Author(s):

Mukhtiar Baig ◽

Zohair J Gazzaz ◽

Marwan A Bakarman ◽

Sami H Alzahrani

Keyword(s):

Diabetes Mellitus ◽

Type 2 Diabetes ◽

Type 2 Diabetes Mellitus ◽

Serum Insulin ◽

Binary Logistic Regression ◽

Control Group ◽

Binary Logistic Regression Analysis ◽

Metabolic Phenotypes ◽

And Control

Objectives: To investigate adipocytokines’ (vaspin, omentin-1, and adiponectin) correlation with metabolic phenotypes in type 2 diabetes mellitus (T2DM) patients. Methods: This case-control research was done at the Diabetic Clinic in Jeddah, Kingdom of Saudi Arabia (KSA), from November 2018 to March 2019. Seventy-five T2DM patients and 75 gender, age, and BMI-matched healthy subjects were recruited for this research. Results: In DM patients, the concentrations of serum vaspin and omentin-1 were substantially lower (p<0.001) than in the control group. A significant positive relationship between vaspin concentration and DBP (p<0.001), BMI (p<0.001), and waist circumference (p<0.001) was found in patients and control subjects, while FPG (p<0.016), serum insulin (p<0.001), HOMA-IR (p<0.001), TC (p<0.001), TG (p<0.001), and LDLc (p<0.001) were significantly interrelated among patients. Serum concentrations of omentin-1 and ADN were significantly negatively correlated with serum insulin, HOMA-IR, and TG among the DM group. Serum vaspin and ADN levels were significantly higher in the cases and control groups with BMI>25, and no gender-wise variance was observed in adipocytokines levels. Binary logistic regression analysis showed a significantly negative predictive relationship of vaspin and omentin-1 with DM. Conclusion: The DM group displayed substantially lower serum vaspin and omentin-1 levels. However, there was no consistent relationship observed between these adipocytokines and metabolic phenotypes. doi: https://doi.org/10.12669/pjms.37.7.4330 How to cite this:Baig M, Gazzaz ZJ, Bakarman MA, Alzahrani SH. Correlation of Serum Vaspin, Omentin-1, and adiponectin with metabolic phenotypes in Type-2 diabetes mellitus patients. Pak J Med Sci. 2021;37(7):---------. doi: https://doi.org/10.12669/pjms.37.7.4330 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Association between Hemoglobin and Diabetic Peripheral Neuropathy at Different Glycosylated Hemoglobin Levels in Type 2 Diabetes Mellitus Patients

10.21203/rs.3.rs-16650/v1 ◽

2020 ◽

Author(s):

Lingling Zhou ◽

Xiaojuan Xu ◽

Hui Sheng ◽

Shen Qu ◽

Ran Cui

Keyword(s):

Diabetes Mellitus ◽

Type 2 Diabetes ◽

Type 2 Diabetes Mellitus ◽

Logistic Regression ◽

Peripheral Neuropathy ◽

Glycosylated Hemoglobin ◽

Binary Logistic Regression ◽

Group 4 ◽

Group 5

Abstract Background To investigate the possible association of diabetic peripheral neuropathy (DPN) and serum hemoglobin levels in type 2 diabetes mellitus (T2DM) patients with different glycosylated hemoglobin levels. Methods A total of 995 patients were involved in this retrospective cross-sectional study. Laboratory medical data and electromyography results from the patients were collected. The patients were divided into five groups according to their HbA1c levels (Group 1: HbA1c ≤7%, Group 2: HbA1c 7% to ≤8%, Group 3: HbA1c 8% to ≤9%, Group 4: 9% to ≤10%, and Group 5: >10%). Differences in clinical data in the five groups were compared. Analysis of variance (ANOVA) and binary logistic regression analysis were used. All analyses were performed using SPSS 24 (SPSS Inc., Chicago, IL, USA). P value < 0.05 was considered to indicate statistical significance. Results A correlation was found between the prevalence of DPN and anemia in both sex groups. Age, BMI, duration of diabetes, ALT, serum creatinine, TC, TG, LDL, FPG, FCP, and hemoglobin A1c differed to a statistically significant extent in different groups. Group 5 showed the highest prevalence of DPN in both sex groups. Hemoglobin levels were higher in Group 5 than in other groups, while composition of anemia was not statistically different. Binary logistic regression showed hemoglobin to be negatively related to the prevalence of DPN in Group 5 in men and in Group 4 in women. Conclusion Hemoglobin level was negatively associated with the occurrence of DPN at the HbA1c level of >10% in men and 9 to 10% in women in T2DM patients. HbA1c must be considered in exploring the correlation between hemoglobin and DPN.

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