The Relationship Between Cigarette Smoking, NOS3 Gene T-786→C Polymorphism, and Diabetic Nephropathy

2017 ◽  
Vol 4 (2) ◽  
Author(s):  
Sayed Alireza Mirsane ◽  
Shima Shafagh ◽  
Nasrin Oraei
Keyword(s):  
Diabetic Nephropathy ◽  
Cigarette Smoking ◽  
Nos3 Gene ◽  
The Relationship

scholarly journals Race as a Moderator of the Relationship Between Distress Tolerance and Cigarette Smoking

2013 ◽  
Vol 49 (6) ◽  
pp. 708-714 ◽  
Author(s):  
Jennifer Dahne ◽  
Kelcey J. Stratton ◽  
Ruth Brown ◽  
Ananda B. Amstadter ◽  
Carl W. Lejuez ◽  
...  
Keyword(s):  
Cigarette Smoking ◽  
Distress Tolerance ◽  
The Relationship

The relationship between cigarette smoking and chronic low back pain

1991 ◽  
Vol 16 (3-4) ◽  
pp. 103-110 ◽  
Author(s):  
Robert N. Jamison ◽  
Barbara A. Stetson ◽  
Winston C.V. Parris
Keyword(s):  
Low Back Pain ◽  
Back Pain ◽  
Cigarette Smoking ◽  
Chronic Low Back Pain ◽  
Low Back ◽  
The Relationship

scholarly journals Prediction of Diabetic Nephropathy from the Relationship between Fatigue, Sleep and Quality of Life

2020 ◽  
Vol 10 (9) ◽  
pp. 3282
Author(s):  
Angela Shin-Yu Lien ◽  
Yi-Der Jiang ◽  
Jia-Ling Tsai ◽  
Jawl-Shan Hwang ◽  
Wei-Chao Lin
Keyword(s):  
Quality Of Life ◽  
Feature Selection ◽  
Diabetic Nephropathy ◽  
Sleep Quality ◽  
Support Vector ◽  
Svm Classifier ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
The Relationship

Fatigue and poor sleep quality are the most common clinical complaints of people with diabetes mellitus (DM). These complaints are early signs of DM and are closely related to diabetic control and the presence of complications, which lead to a decline in the quality of life. Therefore, an accurate measurement of the relationship between fatigue, sleep status, and the complication of DM nephropathy could lead to a specific definition of fatigue and an appropriate medical treatment. This study recruited 307 people with Type 2 diabetes from two medical centers in Northern Taiwan through a questionnaire survey and a retrospective investigation of medical records. In an attempt to identify the related factors and accurately predict diabetic nephropathy, we applied hybrid research methods, integrated biostatistics, and feature selection methods in data mining and machine learning to compare and verify the results. Consequently, the results demonstrated that patients with diabetic nephropathy have a higher fatigue level and Charlson comorbidity index (CCI) score than without neuropathy, the presence of neuropathy leads to poor sleep quality, lower quality of life, and poor metabolism. Furthermore, by considering feature selection in selecting representative features or variables, we achieved consistence results with a support vector machine (SVM) classifier and merely ten representative factors and a prediction accuracy as high as 74% in predicting the presence of diabetic nephropathy.

scholarly journals E-cigarette use and onset of first cigarette smoking among adolescents: An empirical test of the ‘common liability’ theory

F1000Research ◽  
2020 ◽  
Vol 8 ◽  
pp. 2099
Author(s):  
Hui G. Cheng ◽  
Edward G. Largo ◽  
Maria Gogova
Keyword(s):  
Structural Equation Modeling ◽  
Cigarette Smoking ◽  
Structural Equation ◽  
Equation Modeling ◽  
Cigarette Use ◽  
Tobacco Products ◽  
Latent Construct ◽  
The Us ◽  
The Common ◽  
The Relationship

Background: E-cigarettes have become the most commonly used tobacco products among youth in the United States (US) recently. It is not clear whether there is a causal relationship between e-cigarette use and the onset of cigarette smoking. The “common liability” theory postulates that the association between e-cigarette use and cigarette smoking can be attributed to a common risk construct of using tobacco products. This study aims to investigate the relationship between ever e-cigarette use and cigarette smoking onset in the US using a structural equation modeling approach guided by the “common liability” theory. Methods: The study population is non-institutionalized civilian adolescents living in the US, sampled in the longitudinal Population Assessment of Tobacco and Health study. Information about tobacco product use was obtained via confidential self-report. A structural equation modeling approach was used to estimate the relationship between e-cigarette use at wave 1 and the onset of cigarette smoking at wave 2 after controlling for a latent construct representing a “common liability to use tobacco products.” Results:  After controlling for a latent construct representing a “common liability to use tobacco products”, ever e-cigarette use does not predict the onset of cigarette smoking (β=0.13, 95% CI= -0.07, 0.32, p=0.204). The latent “common liability to use tobacco products” is a robust predictor for the onset of cigarette smoking (β=0.38; 95% CI=0.07, 0.69; p=0.015). Conclusions: Findings from this study provide supportive evidence for the ‘common liability’ underlying observed associations between e-cigarette use and smoking onset.

scholarly journals Association of ANGPTL8 and Resistin With Diabetic Nephropathy in Type 2 Diabetes Mellitus

2021 ◽  
Vol 12 ◽  
Author(s):  
Mengni Li ◽  
Rongping Fan ◽  
Xuemin Peng ◽  
Jiaojiao Huang ◽  
Huajie Zou ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Diabetic Nephropathy ◽  
Glycosylated Hemoglobin ◽  
Fasting Blood Glucose ◽  
Serum Levels ◽  
Hs Crp ◽  
The Relationship

BackgroundPrevious studies showed altered angiopoietin-like protein-8 (ANGPTL-8) and resistin circulating levels in type 2 diabetes mellitus (T2DM). Whether or not the alteration in ANGPTL-8 and resistin level can be a predictive maker for increased diabetic nephropathy risk remains unclear.AimTo Investigate the possible association of ANGPTL-8 and resistin with DN, and whether this association is affected by NAFLD status.MethodsA total of 278 T2DM patients were enrolled. Serum levels of ANGPTL8, resistin, BMI, blood pressure, duration of diabetes, glycosylated hemoglobin (HbA1c), fasting blood glucose (FPG), hypersensitive C-reactive protein (hs-CRP), lipid profile, liver, and kidney function tests were assessed. The relationship between DN with ANGPTL8 and resistin was analyzed in the unadjusted and multiple-adjusted regression models.ResultsSerum levels of ANGPTL8 and resistin were significantly higher in DN compared with T2DM subjects without DN (respectively; P <0.001), especially in non-NAFLD populations. ANGPTL8 and resistin showed positive correlation with hs-CRP (respectively; P<0.01), and negative correlation with estimated GFR (eGFR) (respectively; P=<0.001) but no significant correlation to HOMA-IR(respectively; P>0.05). Analysis showed ANGPTL8 levels were positively associated with resistin but only in T2DM patients with DN(r=0.1867; P<0.05), and this significant correlation disappeared in T2DM patients without DN. After adjusting for confounding factors, both ANGPTL8(OR=2.095, 95%CI 1.253-3.502 P=0.005) and resistin (OR=2.499, 95%CI 1.484-4.208 P=0.001) were risk factors for DN. Data in non-NAFLD population increased the relationship between ANGPTL8 (OR=2.713, 95% CI 1.494-4.926 P=0.001), resistin (OR=4.248, 95% CI 2.260-7.987 P<0.001)and DN. The area under the curve (AUC) on receiver operating characteristic (ROC) analysis of the combination of ANGPTL8 and resistin was 0.703, and the specificity was 70.4%. These data were also increased in non-NAFLD population, as the AUC (95%CI) was 0.756, and the specificity was 91.2%.ConclusionThis study highlights a close association between ANGPTL8, resistin and DN, especially in non-NAFLD populations. These results suggest that ANGPTL-8 and resistin may be risk predictors of DN.

A population-based case-control study of the relationship between cigarette smoking and nasopharyngeal cancer (United States)

1995 ◽  
Vol 6 (6) ◽  
pp. 507-512 ◽  
Author(s):  
Kangmin Zhu ◽  
Robert S. Levine ◽  
Edward A. Brann ◽  
Douglas R. Gnepp ◽  
Marianna K. Baum
Keyword(s):  
United States ◽  
Cigarette Smoking ◽  
Case Control Study ◽  
Nasopharyngeal Cancer ◽  
Population Based ◽  
Case Control ◽  
The Relationship ◽  
Control Study
Sign in / Sign up

Export Citation Format

Share Document