Effect of smoking on hemoglobin A1c and body mass index in patients with type 2 diabetes mellitus

Impact of Air and Manual Scaling on Dental Anxiety and Blood Glucose Level among Diabetic Patients

Aims:

The current study aimed at describing the short-term effect of nonsurgical periodontal treatment on dental anxiety and blood glucose level change among diabetic patients.

Materials and Methods:

One hundred and fifty patients with diabetes participated in a cross-sectional study design. All of them were divided into two groups, with 75 patients in each group. The first group was treated with air scaling, whereas the second group was treated with manual scaling. The determination of treatment needs and the evaluation of periodontal health status were achieved by using Community Periodontal Index for Treatment Need (CPITN). The level of dental anxiety was assessed by using Visual Analogue Scale (VAS). The glucose change was calculated by subtracting the glucose level before treatment from the glucose level straight after treatment.

Results:

No significant difference in glucose level was observed between manual scaling and air scaling after treatment (P = 0.076), and the level of glucose was significantly lower after scaling treatment within the treatment groups (P = 0.000). The level of glucose change between the groups was significantly lower for the manual scaling treatment group (P = 0.013), and it was significantly correlated with VAS (P = 0.000). Multiple regression analysis showed a significant association between the treatment groups (P = 0.007).

Conclusions:

Scaling reduced blood glucose and dental anxiety levels in patients with diabetes. Manual scaling was associated with reduced glucose level change less than air scaling after treatment.

Nicotine aggravates vascular adiponectin resistance via ubiquitin-mediated adiponectin receptor degradation in diabetic Apolipoprotein E knockout mouse

There is limited and discordant evidence on the role of nicotine in diabetic vascular disease. Exacerbated endothelial cell dysregulation in smokers with diabetes is associated with the disrupted adipose function. Adipokines possess vascular protective, anti-inflammatory, and anti-diabetic properties. However, whether and how nicotine primes and aggravates diabetic vascular disorders remain uncertain. In this study, we evaluated the alteration of adiponectin (APN) level in high-fat diet (HFD) mice with nicotine (NIC) administration. The vascular pathophysiological response was evaluated with vascular ring assay. Confocal and co-immunoprecipitation analysis were applied to identify the signal interaction and transduction. These results indicated that the circulating APN level in nicotine-administrated diabetic Apolipoprotein E-deficient (ApoE^−/−) mice was elevated in advance of 2 weeks of diabetic ApoE^−/− mice. NIC and NIC addition in HFD groups (NIC + HFD) reduced the vascular relaxation and signaling response to APN at 6 weeks. Mechanistically, APN receptor 1 (AdipoR1) level was decreased in NIC and further significantly reduced in NIC + HFD group at 6 weeks, while elevated suppressor of cytokine signaling 3 (SOCS3) expression was induced by NIC and further augmented in NIC + HFD group. Additionally, nicotine provoked SOCS3, degraded AdipoR1, and attenuated APN-activated ERK1/2 in the presence of high glucose and high lipid (HG/HL) in human umbilical vein endothelial cells (HUVECs). MG132 (proteasome inhibitor) administration manifested that AdipoR1 was ubiquitinated, while inhibited SOCS3 rescued the reduced AdipoR1. In summary, this study demonstrated for the first time that nicotine primed vascular APN resistance via SOCS3-mediated degradation of ubiquitinated AdipoR1, accelerating diabetic endothelial dysfunction. This discovery provides a potential therapeutic target for preventing nicotine-accelerated diabetic vascular dysfunction.

Cardiovascular injury induced by tobacco products: assessment of risk factors and biomarkers of harm. A Tobacco Centers of Regulatory Science compilation

Although substantial evidence shows that smoking is positively and robustly associated with cardiovascular disease (CVD), the CVD risk associated with the use of new and emerging tobacco products, such as electronic cigarettes, hookah, and heat-not-burn products, remains unclear. This uncertainty stems from lack of knowledge on how the use of these products affects cardiovascular health. Cardiovascular injury associated with the use of new tobacco products could be evaluated by measuring changes in biomarkers of cardiovascular harm that are sensitive to the use of combustible cigarettes. Such cardiovascular injury could be indexed at several levels. Preclinical changes contributing to the pathogenesis of disease could be monitored by measuring changes in systemic inflammation and oxidative stress, organ-specific dysfunctions could be gauged by measuring endothelial function (flow-mediated dilation), platelet aggregation, and arterial stiffness, and organ-specific injury could be evaluated by measuring endothelial microparticles and platelet-leukocyte aggregates. Classical risk factors, such as blood pressure, circulating lipoproteins, and insulin resistance, provide robust estimates of risk, and subclinical disease progression could be followed by measuring coronary artery Ca2+ and carotid intima-media thickness. Given that several of these biomarkers are well-established predictors of major cardiovascular events, the association of these biomarkers with the use of new and emerging tobacco products could be indicative of both individual and population-level CVD risk associated with the use of these products. Differential effects of tobacco products (conventional vs. new and emerging products) on different indexes of cardiovascular injury could also provide insights into mechanisms by which they induce cardiovascular harm.

Serum Cotinine and Hemoglobin A1c Among a National Sample of Adolescents Without Known Diabetes

Introduction

National data suggest tobacco smoke is positively associated with higher glycated hemoglobin (HbA1c) among adults. Our objective was to examine the association between serum cotinine and HbA1c among adolescents without known diabetes.

Methods

We assessed adolescents 12-19 years old (N = 11550) who participated in the 1999-2012 National Health and Nutrition Examination Survey. We applied sampling weights while performing multiple linear regression analyses.

Results

The prevalence of serum cotinine indicative of no tobacco smoke exposure (TSE, <0.05 ng/mL) was 43.2%, passive TSE (0.05-2.99 ng/mL) was 38.9%, and active TSE (>3 ng/mL) was 17.9% in our sample. Mean (± standard error) HbA1c in participants with no TSE was 5.16% (±0.01), passive TSE was 5.16% (±0.01), and active TSE was 5.14% (±0.01). No differences in HbA1c were found between TSE groups including sex, age, race/ethnicity, education, income, and physical activity or the fully adjusted model with waist circumference. We found cotinine × sex (p = .01) and cotinine × age (p = .02) interactions. There was an association between cotinine and HbA1c for males but not females. Within males, participants with cotinine ≥3 ng/mL (5.26 ± 0.02) had higher mean HbA1c than those with cotinine 0.05-2.99 ng/mL and <0.05 ng/mL (both 5.20 ± 0.01, p ≤ .02). The negative association between age and HbA1c was stronger for participants with cotinine ≥3 ng/mL than participants with cotinine <0.05 ng/mL.

Conclusion

No linear association was found between HbA1c and serum cotinine in adolescents overall after adjusting for potential confounders. Differences between TSE groups were found in males. Future research in adolescents should examine chronic TSE over time to examine the potential for development of type 2 diabetes.

Implications

TSE has been associated with increased risk for the development of type 2 diabetes among adults. It is unclear if this relationship holds in adolescents. We examined the association between serum cotinine and HbA1c in adolescents without known diabetes who completed the 1999-2012 National Health and Nutrition Examination Survey. Although no association was found between serum cotinine and HbA1c overall while controlling for potential confounding factors, we observed interaction effects that are indicative of TSE influencing HbA1c differentially by sex and age. Reducing TSE in adolescents should be a priority for future tobacco control efforts.

Tobacco Use, Insulin Resistance, and Risk of Type 2 Diabetes: Results from the Multi-Ethnic Study of Atherosclerosis

INTRODUCTION

Tobacco use is associated with insulin resistance and incident diabetes. Given the racial/ethnic differences in smoking patterns and incident type 2 diabetes our objective was to evaluate the association between tobacco use and insulin resistance (IR) as well as incident type 2 diabetes mellitus in a contemporary multiethnic cohort.

METHODS AND RESULTS

We studied 5,931 Multi- Ethnic Study of Atherosclerosis (MESA) participants who at baseline were free of type 2 diabetes (fasting glucose ≥7.0 mmol/l (126 mg/dl) and/or use of insulin or oral hypoglycemic medications) categorized by self-reported tobacco status and reclassified by urinary cotinine (available in 58% of participants) as never, current or former tobacco users. The association between tobacco use, IR (fasting plasma glucose, insulin, and the homeostatic model assessment of insulin resistance (HOMA-IR)) and incident diabetes over 10 years was evaluated using multivariable linear regression and Cox proportional hazards models, respectively. Mean age of the participants was 62 (±10) years, 46% were male, 41% Caucasian, 12% Chinese, 26% African American and 21% Hispanic/Latino. IR biomarkers did not significantly differ between current, former, and never cigarette users (P >0.10) but showed limited unadjusted differences for users of cigar, pipe and smokeless tobacco (All P <0.05). Fully adjusted models showed no association between dose or intensity of tobacco exposure and any index of IR. When stratified into participants that quit smoking vs. those who continued smoking during the 10-year study there was no difference in serum glucose levels or frequency of diabetes. In fully adjusted models, there was no significant difference in diabetes risk between former or current cigarette smokers compared to never smokers [HR (95% CI) 1.02 (0.77,1.37) and 0.81 (0.52,1.26) respectively].

CONCLUSION

In a contemporary multi-ethnic cohort, there was no independent association between tobacco use and IR or incident type 2 diabetes. The role smoking plays in causing diabetes may be more complicated than originally thought and warrants more in-depth large contemporary multi-ethnic studies.

Propensity score and proximity matching using random forest

In order to derive unbiased inference from observational data, matching methods are often applied to produce balanced treatment and control groups in terms of all background variables. Propensity score has been a key component in this research area. However, propensity score based matching methods in the literature have several limitations, such as model mis-specifications, categorical variables with more than two levels, difficulties in handling missing data, and nonlinear relationships. Random forest, averaging outcomes from many decision trees, is nonparametric in nature, straightforward to use, and capable of solving these issues. More importantly, the precision afforded by random forest (Caruana et al., 2008) may provide us with a more accurate and less model dependent estimate of the propensity score. In addition, the proximity matrix, a by-product of the random forest, may naturally serve as a distance measure between observations that can be used in matching. The proposed random forest based matching methods are applied to data from the National Health and Nutrition Examination Survey (NHANES). Our results show that the proposed methods can produce well balanced treatment and control groups. An illustration is also provided that the methods can effectively deal with missing data in covariates.

Relationships of cotinine and self-reported cigarette smoking with hemoglobin A1c in the U.S.: results from the National Health and Nutrition Examination Survey, 1999-2008

OBJECTIVE

Whether nicotine leads to a persistent increase in blood glucose levels is not clear. Our objective was to assess the relationship between cotinine, a nicotine metabolite, and glycated hemoglobin (HbA(1c)), an index of recent glycemia.

RESEARCH DESIGN AND METHODS

We used cross-sectional data from the National Health and Nutrition Examination Survey (NHANES) from 1999 to 2008. We limited our analysis to 17,287 adults without diabetes. We created three cotinine categories: <0.05 ng/mL, 0.05-2.99 ng/mL, and ≥3 ng/mL.

RESULTS

Using self-report, 25% of the sample were current smokers, 24% were former smokers, and 51% were nonsmokers. Smokers had a higher mean HbA(1c) (5.36% ± 0.01 SE) compared with never smokers (5.31% ± 0.01) and former smokers (5.31% ± 0.01). In a similar manner, mean HbA(1c) was higher among participants with cotinine ≥3 ng/mL (5.35% ± 0.01) and participants with cotinine 0.05-2.99 ng/mL (5.34% ± 0.01) compared with participants with cotinine <0.05 ng/mL (5.29% ± 0.01). In multivariable-adjusted analysis, we found that both a cotinine ≥3 ng/mL and self-reported smoking were associated with higher HbA(1c) compared with a cotinine <0.05 ng/mL or not smoking. People with a cotinine level ≥3 ng/mL had a relative 5% increase in HbA(1c) compared with people with a cotinine level <0.05 ng/mL, and smokers had a relative 7% increase in HbA(1c) compared with never smokers.

CONCLUSIONS

Our study suggests that cotinine is associated with increased HbA(1c) in a representative sample of the U.S. population without diabetes.

Serum glycated albumin levels are influenced by smoking status, independent of plasma glucose levels

Serum glycated albumin (GA) is the clinical markers reflecting recent plasma glucose levels. We have previously clarified that serum GA levels are low for obesity and chronic inflammation is involved in the obesity-associated decrease in GA levels through acceleration of albumin catabolism. The present study investigated whether smoking, which is a representative factor that increases CRP, affects serum GA levels. One hundred and three male subjects with normal glucose tolerance (70 nonsmokers, 33 smokers) were enrolled in this study. Smokers and nonsmokers displayed no significant differences in fasting plasma glucose (FPG), oral glucose tolerance test 2-h glucose and HbA(1C). CRP levels were significantly higher in smokers than in nonsmokers (P < 0.05). Serum GA levels were significantly lower in smokers than in nonsmokers (P < 0.05). Stepwise multivariate regression analysis identified FPG and age as positively associated, and BMI and smoking as negatively associated with serum GA levels. In conclusion, serum GA levels were significantly lower in smokers than in nonsmokers. Smoking was identified as a significant negative explanatory variable for serum GA levels. These findings suggest that the inflammation-induced acceleration of albumin metabolism may be involved in the mechanism by which smoking is associated with serum GA levels.

Does cigarette smoking affect the diagnostic reliability of hemoglobin alpha 2 delta 2 (HbA2)?

Quantitation of hemoglobin alpha 2 delta 2 (HbA2) is a basic and confirmatory test in diagnosing the carrier state of beta-thalassemia. The present study was designed to investigate the effect of cigarette smoking on the diagnostic reliability of HbA2. A total of 2,867 (654 smokers and 2,213 never smokers) male subjects were involved in the present study. The subjects were categorized into three groups according to their laboratory findings: beta-thalassemia minor, iron deficient, and normal groups. Complete blood count (CBC) parameters and HbA2 levels were compared between smokers and never smokers of each group according to the independent-samples t-test using the SPSS program, significance results were reported at P<0.05. The results showed a significant increase in red blood cell (RBC) mass (RBC count and hematocrit [Hct]) and Hb concentration in smokers of all groups; however, no significant differences were reported in the HbA2 level between smokers and never smokers in all groups. It was concluded that cigarette smoking does not affect the diagnostic reliability of the HbA2 test.

Current smoking and type 2 diabetes among patients in selected Indian Health Service clinics, 1998-2003

OBJECTIVES

In non-American Indian/Alaska Native groups, current smoking prevalence is similar for those with or without diabetes (26%) We analyzed current smoking prevalence in American Indian/Alaska Natives by diabetes status.

METHODS

Data were extracted from Indian Health Service clinic visit information from 1998 to 2003. After consolidation into unique patient records, the sample comprised 71221 patients aged 14 years or older with both diabetes and current smoking information.

RESULTS

Cross-sectional results indicated that diabetic American Indian/Alaska Natives were significantly more likely than those without diabetes to be current smokers (29.8% vs 18.8%; P<.01). Smoking rates were 2 to 3 times higher among diabetic American Indians and Alaska Natives for each age category (P<.001), and current smokers with diabetes were more likely than nonsmokers to have glycosylated hemoglobin A1c levels at 8.0% or higher (P <.05).

CONCLUSIONS

American Indian/Alaska Natives with diabetes at all sites and age categories were found to smoke at significantly higher rates than those without diabetes. Smoking cessation programs should target diabetic patients to more effectively prevent complications and promote successful management of diabetes in American Indians/Alaska Natives.

Cigarette smoking and the risk of gestational and pregestational diabetes in two consecutive pregnancies

OBJECTIVE

Cigarette smoking during pregnancy may increase the risk of gestational diabetes mellitus (GDM) or pregestational diabetes mellitus (PDM). Smoking has been associated positively with hyperinsulinemia and insulin resistance in experimental studies, although the association with diabetes remains unclear. To further explore this issue, we examined the association with smoking in the largest prospective cohort study of GDM and PDM to date.

RESEARCH DESIGN AND METHODS

The study population comprised 212190 women in the population-based Swedish Birth Registry who had their first and second deliveries between January 1987 and December 1995. Maternal characteristics were recorded in a standardized manner at the first prenatal visit, followed by a clinical examination and a standardized in-person interview to assess lifestyle habits. Women were categorized as nonsmokers, light smokers (one to nine cigarettes per day), or moderate-to-heavy smokers (at least 10 cigarettes per day).

RESULTS

Women with GDM in their first pregnancy experienced an eight- to ninefold increased risk of GDM or PDM in their second pregnancy. Cigarette smoking was not associated with increased risk of these conditions. Neither women who smoked during their first and second pregnancies nor those who commenced smoking between pregnancies had a higher risk of GDM or PDM than nonsmokers.

CONCLUSIONS

Our findings do not support an association between cigarette smoking and risk of GDM or PDM in young women of childbearing age.