Glucose tolerance and smoking: a population study of oral and intravenous glucose tolerance tests in middle-aged men

Identification of risk factors for diabetes in Chinese middle-aged and elderly adults

This study aimed to identify and analyze the factors associated with the prevalence of diabetes among Chinese adults, using data from the China Health and Retirement Longitudinal Study (CHARLS). Data from the CHARLS cohort, with a mean age of 63.3 years, were analyzed using SPSS software. Descriptive statistics were performed for the overall population, as well as urban and rural subgroups. Logistic regression models were employed to assess the association between diabetes and variables such as age, gender, smoking, alcohol consumption, hypertension, and mental health disorders. Paired-sample t-tests were conducted to evaluate changes in diabetes prevalence across 2015, 2018, and 2020. The average of diabetes increased from 1.08 in 2015 to 1.15 in 2020, with a statistically significant difference (P < 0.001). Paired-sample t-tests showed significant differences between 2020 and 2018, as well as between 2018 and 2015 (P < 0.001). Logistic regression analysis identified hypertension (aOR = 0.447, 95% CI: 0.410-0.488, P < 0.001) and chronic disease (aOR = 0.024, 95% CI: 0.013-0.042, P < 0.001) as key risk factors for diabetes. Mild physical exercise was a protective factor (aOR = 0.813, 95% CI: 0.708-0.935, P < 0.01), while smoking (aOR = 1.220, 95% CI: 1.088-1.369, P < 0.001) and alcohol consumption (aOR = 1.125, 95% CI: 1.020-1.242, P < 0.05) increased the risk. Smoking and alcohol had a greater impact in urban areas, while hypertension and mental health disorders were more influential in rural areas. This study demonstrates that age, gender, smoking, alcohol consumption, hypertension, and mental disorders significantly influence the risk of diabetes among Chinese adults aged 45 and above. Distinct risk factors were identified between urban and rural populations, highlighting the necessity for tailored intervention strategies. The longitudinal analysis from 2015 to 2020 revealed a substantial increase in diabetes prevalence, underscoring the critical need for sustained and targeted public health efforts.

Risk Factors of Non-alcoholic Fatty Liver Disease in the Iranian Adult Population: A Systematic Review and Meta-analysis

Context: Non-alcoholic fatty liver disease (NAFLD) is progressing considerably worldwide. Identifying the risk factors of NAFLD is a critical step in preventing its progression. Methods: In November 2022, two independent researchers studied seven databases, including PubMed, ISI/WoS, ProQuest, Scopus, SID, Magiran, and Google Scholar, and reference list of relevant articles, searching studies that assessed NAFLD risk factors in the Iranian adult population. Heterogeneity between studies was assessed by Cochran’s test and its composition using I2 statistics. A random-effects model was used when heterogeneity was observed; otherwise, a fixed-effects model was applied. Egger’s regression test and Trim-and-Fill analysis were used to assess publication bias. Comprehensive Meta-analysis software (version 3) was used for the analyses of the present study. Results: The results of this study showed significant associations between NAFLD with age (n = 15, odds ratio (OR) = 2.12, 95% CI: 1.79 - 2.51), body mass index (n = 46, OR = 5.00, 95% CI: 3.34 - 7.49), waist circumference (n = 20, OR = 6.37, 95% CI: 3.25 - 12.48), waist-to-hip ratio (n = 17, OR = 4.72, 95% CI: 3.93 - 5.66), total cholesterol (n = 39, OR = 1.80, 95% CI: 1.52 - 2.13), high-density lipoprotein (n = 37, OR = 0.53, 95% CI: 0.44 - 0.65), low-density lipoprotein (n = 31, OR = 1.68, 95% CI: 1.38 - 2.05), triglyceride (n = 31, OR = 3.21, 95% CI: 2.67 - 3.87), alanine aminotransferase (n = 26, OR = 4.06, 95% CI: 2.94 - 5.62), aspartate aminotransferase (n = 27, OR = 2.16, 95% CI: 1.50 - 3.12), hypertension (n = 13, OR = 2.53, 95% CI: 2.32 - 2.77), systolic blood pressure (n = 13, OR = 1.83, 95% CI: 1.53 - 2.18), diastolic blood pressure (n = 14, OR = 1.80, 95% CI: 1.48 - 2.20), fasting blood sugar (n = 31, OR = 2.91, 95% CI: 2.11- 4.01), homeostatic model assessment for insulin resistance (n = 5, OR = 1.92, 95% CI: 1.48 - 2.59), diabetes mellitus (n = 15, OR = 3.04, 95% CI: 2.46 - 3.75), metabolic syndrome (n = 10, OR = 3.56, 95% CI: 2.79 - 4.55), and physical activity (n = 11, OR = 0.32, 95% CI: 0.24 - 0.43) (P < 0.05). Conclusions: In conclusion, several factors are significantly associated with NAFLD. However, anthropometric indices had the strongest relationship with NAFLD in the Iranian adult population.

The relationship of smoking with gestational diabetes: a large population-based study and a matched comparison

RESEARCH QUESTION

Is smoking associated with an increased risk for gestational diabetes (GDM)?

DESIGN

A retrospective population-based study using data from the United States Healthcare Cost and Utilization Project-Nationwide Inpatient Sample. A dataset of all deliveries that took place between 2004 and 2014 (inclusive) was created. The population was divided into two groups according to smoking status and matched 1:1 for age, obesity, race, insurance type, thyroid disease, drug use and chronic hypertension. Delivery outcomes were compared between the two matched groups and the control group of non-smokers as a whole. A multivariate logistic analysis was performed adjusting for any statistically significant confounding baseline effects not matched for.

RESULTS

The study identified 9,096,788 births between 2004 and 2014, of which 443,590 (4.9%) were maternal smokers. When compared with the entire group of non-smokers as controls, there was an increased risk of GDM, adjusted odd ratio (aOR) 1.10 (95% confidence interval [CI] 1.07-1.14, P < 0.001). This relationship was of a mild nature and there were many confounding variables that differed between the groups. As such a matched control group was developed to compare the risk of GDM in the smokers and non-smokers. An increased risk for GDM among smokers remained, with an aOR of 1.07 (95% CI 1.05-1.10, P < 0.001).

CONCLUSIONS

The current data suggest that smoking is a small but significant risk factor for GDM with an aOR of 1.07.

The Association Between E-Cigarette Use and Prediabetes: Results From the Behavioral Risk Factor Surveillance System, 2016-2018

INTRODUCTION

Both E-cigarette use and the prevalence of prediabetes have risen dramatically in the past decade. It is crucial to understand whether E-cigarette use is associated with the risk of prediabetes.

METHODS

Participants who completed the prediabetes and E-cigarette modules of the Behavioral Risk Factor Surveillance System survey (2016-2018) were included in this study. E-cigarette use information was collected by asking: Have you ever used an e-cigarette or other electronic "vaping" product, even just one time, in your entire life? We defined sole E-cigarette users as current E-cigarette users who are never combustible-cigarette users, and dual users were defined as both current E-cigarette and combustible-cigarette users. Participants with prediabetes were identified by asking: Ever been told by a doctor or other health professional that you have prediabetes or borderline diabetes? Multivariable logistic regression was used to determine the association between E-cigarette use and prediabetes.

RESULTS

Among the 600,046 respondents, 28.6% of respondents were aged <35 years. The prevalence of prediabetes among current E-cigarette, sole E-cigarette users, and dual users was 9.0% (95% CI=8.6, 9.4), 5.9% (95% CI=5.3, 6.5), and 10.2% (95% CI=9.8, 10.7), respectively. In the fully adjusted model, the ORs for prediabetes were 1.22 (95% CI=1.10, 1.37) for current E-cigarette users and 1.12 (95% CI=1.05, 1.19) for former E-cigarette users compared with that of never E-cigarette users. The ORs for prediabetes were 1.54 (95% CI=1.17, 2.04) for sole E-cigarette users and 1.14 (95% CI=0.97, 1.34) for dual users.

CONCLUSIONS

In this representative sample of U.S. adults, E-cigarette use was associated with greater odds of prediabetes. The results were consistent in sole E-cigarette users.

Electronic Cigarette Use and the Risk of Cardiovascular Diseases

Electronic cigarettes or e-cigarettes are the most frequently used tobacco product among adolescents. Despite the widespread use of e-cigarettes and the known detrimental cardiac consequences of nicotine, the effects of e-cigarettes on the cardiovascular system are not well-known. Several in vitro and in vivo studies delineating the mechanisms of the impact of e-cigarettes on the cardiovascular system have been published. These include mechanisms associated with nicotine or other components of the aerosol or thermal degradation products of e-cigarettes. The increased hyperlipidemia, sympathetic dominance, endothelial dysfunction, DNA damage, and macrophage activation are prominent effects of e-cigarettes. Additionally, oxidative stress and inflammation are unifying mechanisms at many levels of the cardiovascular impairment induced by e-cigarette exposure. This review outlines the contribution of e-cigarettes in the development of cardiovascular diseases and their molecular underpinnings.

Metabolic parameters in smokers undergoing smoking reduction

Introduction

Few human studies have explored the mechanisms of smoking-induced insulin resistance. Aims: To prospectively examine the metabolic changes of smoking reduction.

Methods

Cigarette smokers (n = 22; ½-2 packs per day) were enrolled in a smoking reduction program (counseling plus bupropion × 8 weeks; Phase I) followed by monitoring only (no counseling or bupropion × 16 weeks; Phase II). We serially measured exhaled carbon monoxide (CO) and urine nicotine metabolites; fat distribution, and metabolic parameters by hyperinsulinemic clamps including hepatic glucose output (HGO) and indirect calorimetry, adjusted for total caloric intake and expenditure.

Results

CO and nicotine metabolite levels fell with smoking reduction during Phase I (all p < 0.05), without any further changes through Phase II. Central-to-peripheral fat ratio increased during Phase I, but then fell during Phase II (all p < 0.05). Over 24 weeks, basal HGO fell (p = 0.02); and falling CO and nicotine metabolite levels correlated inversely with changes in glucose oxidation, and directly with changes in weight (all p < 0.05).

Conclusions

Smoking reduction produced a transient worsening of central fat redistribution followed by a more significant improvement; along with other net beneficial metabolic effects.

Passive smoking and type 2 diabetes among never-smoking women: The Japan Public Health Center-based Prospective Study

AIMS/INTRODUCTION

The aim of the current study was to prospectively evaluate the association between passive smoking from a spouse and the risk of diabetes among never-smoking Japanese women. Passive smoking at a workplace (or public facilities) was assessed as a secondary measure.

MATERIALS AND METHODS

In the Japan Public Health Center-based Prospective Study (baseline 1990 or 1993), we followed 25,391 never-smoking women aged 40-69 years and without diabetes. Passive smoking was defined as having a husband who was a self-reported smoker, and the exposure at a workplace (or public facilities) was self-reported by women. The development of diabetes was identified in questionnaires administered at the 5-year and 10-year surveys. A pooled logistic regression model was used to assess the association between passive smoking and the development of diabetes with adjustment for age and possible confounders.

RESULTS

Compared with women whose husbands had never smoked, women whose husband smoked ≥40 cigarettes/day had significantly higher odds of developing diabetes in an age-adjusted model, but the association was attenuated in a multivariable model (odds ratio 1.34, 95% confidence interval 0.96-1.87). There was a dose-response trend between the number of cigarettes smoked by a husband and the odds of developing diabetes (P = 0.02). Women reporting daily passive smoking at a workplace (or public facilities) had higher odds of developing diabetes than women reporting no such exposure (odds ratio 1.23, 95% confidence interval 0.995-1.53).

CONCLUSIONS

Our results indicated a higher risk of diabetes among never-smoking Japanese women with higher exposure to passive smoking from a spouse.

Non-Alcoholic Fatty Liver Disease Modifies Serum Gamma-Glutamyl Transferase in Cigarette Smokers

Background

Serum gamma-glutamyl transferase (GGT) is a marker of oxidative stress, associated with increased cardiovascular (CV) risk. The impact of smoking on oxidative stress may be aggravated in individuals with non-alcoholic fatty liver disease (NAFLD). We aimed to ascertain the association of smoking on GGT levels in the presence or absence of NAFLD.

Methods

We evaluated 6,354 healthy subjects (43 ± 10 years, 79% males) without clinical cardiovascular disease (CVD) undergoing an employer-sponsored physical between December 2008 and December 2010. NAFLD was diagnosed by ultrasound and participants were categorized as current or non-smokers by self report. A multivariate linear regression of the cross-sectional association between smoking and GGT was conducted based on NAFLD status.

Results

The prevalence of NAFLD was 36% (n = 2,299) and 564 (9%) were current smokers. Smokers had significantly higher GGT levels in the presence of NAFLD (P < 0.001). After multivariable adjustment, current smoking was associated with 4.65 IU/L higher GGT level, P < 0.001, compared to non-smokers. When stratified by NAFLD, the magnitude of this association was higher in subjects with NAFLD (β-coefficient: 11.12; 95% confidence interval (CI): 5.76 - 16.48; P < 0.001); however, no such relationship was observed in those without NAFLD (β: -0.02; 95% CI: -3.59, 3.56; P = 0.992). Overall the interaction of NAFLD and smoking with GGT levels as markers of oxidative stress was statistically significant.

Conclusions

Smoking is independently associated with significantly increased oxidative stress as measured by GGT level. This association demonstrates effect modification by NAFLD status, suggesting that smoking may intensify CV risk in individuals with NAFLD.

Impact of smoking on gestational diabetes mellitus and offspring birthweight in primiparous women

INTRODUCTION

Smoking has been shown to affect glucose homeostasis and increase the risk for type 2 diabetes mellitus. Further, gestational diabetes mellitus (GDM) and smoking are known to influence offspring birthweight. The effect of smoking on glucose homeostasis in pregnancy is less studied and the findings are inconsistent. The aim of this study was to evaluate the effect of smoking on risk for GDM and to evaluate the impact of smoking and GDM on offspring birthweight.

MATERIAL AND METHODS

This is an observational cohort study encompassing 4111 Finnish primiparous women from the city of Vantaa, Finland, who delivered a singleton child between 2009 and 2015. Data were obtained from Finnish national registers. Study participants had complete oral glucose tolerance test results and were divided into three groups according to smoking status: non-smokers (I), smokers who quit during first trimester (II), and smokers who continued after first trimester (III).

RESULTS

Prevalence of GDM was 19.8%, 24.3%, and 26.6% in non-smokers, those who quit, and those who continued after the first trimester, respectively (P = .004 for differences between groups). The odds ratio for GDM in smokers who continued after the first trimester compared with non-smokers was 1.65 (95% CI 1.09-2.57) after adjustments for age, prepregnancy body mass index, education, and cohabitation. In women without GDM, offspring birthweight was lowest in those who continued smoking after the first trimester (P = .010 for differences between groups). In women with GDM, smoking status did not influence offspring birthweight.

CONCLUSIONS

Smoking during pregnancy is associated with an increased risk for GDM. Offspring birthweight is lowest in women who continue smoking after the first trimester. If pregnancy is complicated by GDM, offspring birthweight is not influenced by smoking.

Cumulative average dietary pattern scores in young adulthood and risk of incident type 2 diabetes: the CARDIA study

AIMS/HYPOTHESIS

The evidence for the role of contemporary dietary patterns, trends and predominant aspects of energy intake in a typical American diet and in type 2 diabetes risk is limited. Therefore, we examined the association between dietary pattern scores created to reflect the 2015 Dietary Guidelines for Americans (DGA) Scientific Report, a Palaeolithic (Palaeo) diet, a diet high in 'empty calories', and the A Priori Diet Quality Score (APDQS) (cohort reference) and type 2 diabetes risk over time.

METHODS

We carried out a prospective analysis of 4719 young adult black and white men and women from the Coronary Artery Risk Development in Young Adults (CARDIA) study with repeated dietary histories collected at study years 0, 7 and 20. Using multivariable Cox proportional hazards regression models, we examined the association between time-dependent cumulative average dietary pattern scores and incident type 2 diabetes.

RESULTS

During the 30 year follow-up period, 680 (14.4%) incident cases of type 2 diabetes occurred. There was no association between the 2015 DGA, Palaeo or empty calorie scores and type 2 diabetes risk in the overall population. Participants in the fourth quartile of the APDQS, reflecting a more healthful dietary pattern, had a 45% lower risk of type 2 diabetes compared with those in the lowest quartile (HR 0.55 [95% CI 0.41, 0.74]). In stratified analyses there was an inverse association for the 2015 DGA in non-smokers per SD (HR 0.86 [95% CI 0.74, 0.99]) and an inverse association for the empty calorie score in white women (HR 0.76 [95% CI 0.60, 0.96]) as well as in a subgroup analysis of the Palaeo index of participants who maintained a high score over 20 years (per SD, HR 0.59 [95% CI 0.39, 0.88]).

CONCLUSIONS/INTERPRETATION

Higher levels of the APDQS, which largely aligns with the 2015 DGA, were strongly inversely associated with 30 year type 2 diabetes risk in the CARDIA cohort; the results from the other patterns were nuanced and need to be considered in the context of the study and potential biases.

The effect of smoking on the risk of gestational diabetes mellitus and the OGTT profile during pregnancy

OBJECTIVE

To analyze the relationship between smoking and the risk of GDM, as well as with the OGTT profile during pregnancy.

PATIENTS AND METHODS

A total of 7437 pregnant women were studied. OGTT was performed at the 3rd trimester. Women were categorized as non-smokers (A), as those who ceased smoking at pregnancy (B), and as smokers (C).

RESULTS

5434 (73.1%) women were group A, 1191 (16%) group B and 812 (10.9%) group C. The rates of GDM among the groups were: A 33.7%, B 34.2%, C 34.2% (ns). However, the number of individuals requiring insulin treatment was significantly different: A 39.2%, B 47.5%, C 50.6% (p < 0.001). Regarding OGTT, fasting glucose levels were significantly higher in group C (89 ± 13 vs 86 ± 12 mg/dl) compared to A, whereas 3-h glucose values were significantly lower (104 ± 33 vs 112 ± 32 mg/dl) (p < 0.001). Group B demonstrated intermediate glucose concentrations. Similar findings were observed in women without GDM. In women with GDM, higher 1-h glucose levels were measured in group C (210 ± 31 vs 205 ± 28 mg/dl) compared with A (p = 0.024). Further, group C sub-analysis found that those who smoked more than 10 cigarettes showed significantly lower 3-h glucose levels (111 ± 31 vs 128 ± 40 mg/dl) compared to those who smoked less than 10 (p = 0.006). HbA1c in women with GDM was higher in group C (4.6 ± 0.6 vs 4.5 ± 0.6%) compared with A (p = 0.027).

CONCLUSIONS

The present study did not show any correlation between smoking and GDM risk. However, OGTT profile and HbA1c differed according to smoking status in women with and without GDM.

Changes in secondhand smoke exposure levels and risk of type 2 diabetes in middle age: the Korean Genome and Epidemiology Study (KoGES)

OBJECTIVES

Secondhand smoke (SHS) was known as one of the risk factors for type 2 diabetes. So far, some studies revealed the association of SHS exposure and type 2 diabetes, however, no studies to show the relationship of cumulative SHS exposure with type 2 diabetes exist. Therefore, the objectives of this study were to identify subgroups of participants who share similar trajectories in SHS exposure levels in middle age by using latent class growth modeling, and determine the independent association of these SHS exposure level trajectories with risk of incident type 2 diabetes.

METHODS

In Korean Genome and Epidemiology Study (2001-2014), 2079 participants aged 40 years and above who received biennially health check-up to follow-up and with available information of SHS exposure were selected. Four distinct trajectory groups (low-stable, moderate to low, moderate, and high to low) were identified for SHS exposure levels using trajectory modeling methods. Multivariable Cox proportional hazards model was used to examine the association of trajectories with risk of type 2 diabetes.

RESULTS

During 24 083.3 person-years of follow-up (mean follow-up duration, 11.6 years), 200 incident cases of type 2 diabetes and 640 incident cases of impaired fasting glucose (IFG) were identified. In multivariable Cox model, 'High to low' trajectory was significantly associated with risk of type 2 diabetes (OR 1.9; 95% CI 1.3 to 2.8) compared with 'Low-stable'. For IFG, all trajectories had significantly 30%-30% higher risk of type 2 diabetes compared with the 'Low-stable' trajectory.

CONCLUSIONS

Changes in SHS exposure levels have been shown to associate with subsequent type 2 diabetes risk. Reversing high exposure level of SHS in middle-aged adulthood may still lead to worse progressions of type 2 diabetes than remaining stable exposure level.

The impact of smoking on the development of diabetes and its complications

Diabetes is one of the most common metabolic disorders and emerges secondary to an interaction between genetic, environmental and lifestyle factors. This work provides an overview of the impact of smoking on the development of vascular complications in this condition and also provides an overview of the potential role of smoking in predisposition to diabetes. There are many studies documenting the impact of smoking on health (not focused on patients with diabetes), suggesting that the health exposure in these individuals is at least comparable to that observed in the general population. Distinct studies of smoking in patients with diabetes have unambiguously confirmed an increased prevalence and a higher risk of early death associated with the development of macrovascular complications. Smoking is also associated with premature development of microvascular complications and may contribute to the pathogenesis of type 2 diabetes. It has been shown that smoking is a predictor of the progression of glucose intolerance at both the transition from normoglycaemia to impaired glucose tolerance status and the increased risk of developing diabetes. The mechanisms explaining the relationship between smoking and the development of diabetes are not fully understood, although a number of hypotheses have been put forward. Current evidence indicates that smoking cessation is not only important to prevent macrovascular complications in diabetes, but also has a role in limiting microvascular disease and may also facilitate glycaemic management in this condition.

Tobacco and diabetes: clinical relevance and approach to smoking cessation in diabetic smokers

Smoking is, together with diabetes mellitus, one of the main risk factors for cardiovascular disease. Diabetic patients have unique features and characteristics, some of which are not well known, that cause smoking to aggravate the effects of diabetes and impose difficulties in the smoking cessation process, for which a specificand more intensive approach with stricter controls is required. This review details all aspects with a known influence on the interaction between smoking and diabetes, both as regards the increased risk of macrovascular and microvascular complications of diabetes and the factors with an impact on the results of smoking cessation programs. The treatment guidelines for these smokers, including the algorithms and drug treatment patterns which have proved most useful based on scientific evidence, are also discussed.

Insulin resistance and β-cell function in smokers: results from the EGIR-RISC European multicentre study

AIMS

Tobacco smoking is known to increase the long-term risk of developing Type 2 diabetes mellitus, but the mechanisms involved are poorly understood. This observational, cross-sectional study aims to compare measures of insulin sensitivity and β-cell function in current, ex- and never-smokers.

METHODS

The study population included 1246 people without diabetes (mean age 44 years, 55% women) from the EGIR-RISC population, a large European multicentre cohort. Insulin sensitivity was measured using a hyperinsulinaemic, euglycaemic clamp and the homeostatic model assessment - insulin resistance (HOMA-IR) index. Two β-cell function parameters were derived from measures during an oral glucose tolerance test: the early insulin response index and β-cell glucose sensitivity. Additionally, the areas under the curve during the oral glucose tolerance test were calculated for glucose, insulin and C-peptide.

RESULTS

According to smoking habits, there were differences in insulin sensitivity, which was lower in women who smoked, and in β-cell glucose sensitivity, which was lower in men who smoked, but these associations lost significance after adjustment. However, after adjustment, the areas under the glucose and the C-peptide curves during the oral glucose tolerance test were significantly higher in men who smoked.

CONCLUSIONS

Smoking habits were not independently associated with insulin sensitivity or β-cell function in a healthy middle-aged European population. Health-selection bias, methodological shortcomings or a true lack of causal links between smoking and impaired insulin sensitivity/secretion are possible explanations. The mechanisms behind the observed increased glucose and C-peptide areas under the curve during the oral glucose tolerance test in male smokers need to be further evaluated.

The association of ideal cardiovascular health with incident type 2 diabetes mellitus: the Multi-Ethnic Study of Atherosclerosis

AIMS/HYPOTHESIS

Levels of ideal cardiovascular health (ICH) and incident type 2 diabetes mellitus have not been examined in a multiethnic population. We assessed the total and race/ethnicity-specific incidence of diabetes based on American Heart Association (AHA) ICH components.

METHODS

Incident diabetes was assessed among 5341 participants in the Multi-Ethnic Study of Atherosclerosis without prevalent diabetes between 2002 and 2012. ICH components (total cholesterol, BP, dietary intake, tobacco use, physical activity and BMI) were assessed at baseline and participants were categorised as having ideal, intermediate or poor cardiovascular health, as defined by the AHA 2020 impact goals. We developed a scoring system based on the number of ICH components (0-1 'poor', 2-3 'intermediate', and ≥4 'ideal'). HRs were calculated using Cox models.

RESULTS

During a median follow-up of 11.1 years, we identified 587 cases of incident diabetes. After multivariable adjustment, participants with 2-3 and ≥4 ICH components vs 0-1 components had a 34% lower (HR 0.66; 95% CI 0.54, 0.80) and a 75% lower (HR 0.25; 95% CI 0.18, 0.35) diabetes incidence, respectively. There were significant differences by race/ethnicity: African-American and Hispanic-American participants with ≥4 ICH components had diabetes incidence rates per 1000 person-years of 5.6 (95% CI 3.1, 10.1) and 10.5 (95% CI 6.7, 16.4), respectively, compared with 2.2 (95% CI 1.3, 3.7) among non-Hispanic white Americans.

CONCLUSIONS/INTERPRETATION

Meeting an increasing number of AHA 2020 impact goals for dietary intake, physical activity, smoking, BP, cholesterol and BMI was associated with a dose-dependent lower risk of diabetes with significant variation by race/ethnicity.

Smoking affects the oral glucose tolerance test profile and the relationship between glucose and HbA1c in gestational diabetes mellitus

AIMS

Current smokers in the general population have a lower 2 h plasma glucose after an oral glucose tolerance test (OGTT) and a higher HbA1c than non-smokers, but the relationships between OGTT/HbA1c and smoking status have not been addressed in pregnancy. We analysed glycaemic measurements in women with gestational diabetes mellitus in relation to smoking status.

METHODS

We performed a review of the prospectively collected database of the diabetes and pregnancy clinic. We included women with gestational diabetes mellitus and a singleton pregnancy who delivered between 1986 and 2006. Bivariate and multivariate analyses were used to evaluate patient characteristics in relation to smoking status.

RESULTS

A total of 2361 women met the inclusion criteria: 556 (23.5%) were active smokers, 266 (11.3%) quit during pregnancy and 1539 (65.2%) were non-smokers. Most baseline characteristics were similar across groups. Diagnostic OGTT was performed at a gestational age of [median (25th, 75(th) centiles)] 29 weeks (26, 33). Women who smoked at the beginning of pregnancy had a higher 1-h plasma glucose than non-smokers [11.8 (11, 12.7), 11.6 (11, 12.6) and 11.5 (10.8, 12.5) mmol/l, for active smokers, those who quit during pregnancy and non-smokers, respectively, P < 0.001] and a lower 3-h plasma glucose [7.3 (5.9, 8.4), 7.6 (6.4, 8.7) and 8.0 (6.8, 9.0) mmol/l, respectively, P < 0.001]. HbA1c was higher in women who smoked at the beginning of pregnancy. Multiple regression analysis confirmed the independent association of smoking status with HbA1c and OGTT plasma glucose.

CONCLUSIONS

In women with gestational diabetes mellitus who smoke at the beginning of pregnancy, the shape of the OGTT is consistent with accelerated glucose absorption, and HbA1c is higher than expected for glycaemic values.

Metabolic effects of smoking cessation

Smoking continues to be the leading cause of preventable death in the USA, despite the vast and widely publicized knowledge about the negative health effects of tobacco smoking. Data show that smoking cessation is often accompanied by weight gain and an improvement in insulin sensitivity over time. However, paradoxically, post-cessation-related obesity might contribute to insulin resistance. Furthermore, post-cessation weight gain is reportedly the number one reason why smokers, especially women, fail to initiate smoking cessation or relapse after initiating smoking cessation. In this Review, we discuss the metabolic effects of stopping smoking and highlight future considerations for smoking cessation programs and therapies to be designed with an emphasis on reducing post-cessation weight gain.

Metabolic syndrome, glucose tolerance categories and the cardiovascular risk in Spanish population

We examined the prevalence of metabolic syndrome (MetS), glucose tolerance categories and risk factors of cardiovascular-disease (CVD) in the general Spanish population. We studied 3844 randomly sampled subjects (46% males) aged 35-74 years. Glucose tolerance categories were defined according to the 2003 ADA and MetS according to the Harmonized Consensus Criteria with waist circumference (WC) cut-off-points previously reported in Spanish population (≥94.5/≥89.5cm for males/females). The prevalences of normoglycemia (NG), impaired fasting glucose (IFG), impaired glucose tolerance (IGT), IFG and IGT considered together (IFG/IGT), and diabetes mellitus (DM) were 67.6/16.6/5.0/3.3, and 7.5%, respectively. The overall prevalence of MetS was 31.2%. In subjects with NG, IFG, IGT, IFG/IGT, and DM the MetS prevalence's were 16.3/57.1/31.5/66.1, and 74.4% (p<0.001), respectively. MetS was more common in males, older subjects, smokers, and/or individuals with obesity, IFG, IFG/IGT, DM, or insulin resistance (HOMA-IR ≥3.8). MetS was less prevalent in individuals with low alcohol intake and/or high education level. Regarding the risk level of CVD estimated by Framingham and SCORE risk charts, IGT had higher estimated CVD-risk than IFG and IFG/IGT. The presence of MetS increases the risk 4.85 times by Framingham and 2.43 times by SCORE. Prevalence of prediabetes (IFG/IGT) and MetS were 25% and 31.2% respectively. Prevalence of MetS has not changed in the past decade in Spanish females, but has slightly increased in males. We found that subjects with IGT showed a higher risk of CVD than IFG and IFG/IGT according to the Framingham and SCORE. MetS increased the CVD-risk previously estimated by Framingham and SCORE.

Cigarette Smoking Is Associated with a Lower Prevalence of Newly Diagnosed Diabetes Screened by OGTT than Non-Smoking in Chinese Men with Normal Weight

Different studies have produced conflicting results regarding the association between smoking and diabetes mellitus, and detailed analysis of this issue in Chinese males based on nationwide samples is lacking. We explored the association between cigarette smoking and newly-diagnosed diabetes mellitus (NDM) in Chinese males using a population-based case-control analysis; 16,286 male participants without previously diagnosed diabetes were included. Prediabetes and NDM were diagnosed using the oral glucose tolerance test. The cohort included 6,913 non-smokers (42.4%), 1,479 ex-smokers (9.1%) and 7,894 current smokers (48.5%). Age-adjusted glucose concentrations (mmol/L) were significantly lower at fasting and 120 min in current smokers than non-smokers (5.25 vs. 5.30, 6.46 vs. 6.55, respectively, both P < 0.01). After adjustment for demographic and behavioral variables (age, region, alcohol consumption status, physical activity, education, and family history of diabetes), logistic regression revealed significant negative associations between smoking and NDM in males of a normal weight (BMI < 25 kg/m2: adjusted odds ratio [AOR] = 0.75, P = 0.007; waist circumference < 90 cm: AOR = 0.71, P = 0.001) and males living in southern China (AOR = 0.75, P = 0.009), but not in males who were overweight/obese, males with central obesity, or males living in northern China. Compared to non-smokers, current smokers were less likely to be centrally obese or have elevated BP (AOR: 0.82 and 0.74, both P < 0.05), and heavy smokers (≥ 20 pack-years) were less likely to have elevated TG (AOR = 0.84, P = 0.012) among males of a normal weight. There were no significant associations between quitting smoking and metabolic disorders either among males of a normal weight or males who were overweight/obese. In conclusion, smokers have a lower likelihood of NDM than non-smokers among Chinese males with a lower BMI/smaller waist.

Tobacco Smoking Is Not Associated With Accelerated Liver Disease in Human Immunodeficiency Virus-Hepatitis C Coinfection: A Longitudinal Cohort Analysis

Background. Tobacco smoking has been shown to be an independent risk factor for liver fibrosis in hepatitis C virus (HCV) infection in some cross-sectional studies. No longitudinal study has confirmed this relationship, and the effect of tobacco exposure on liver fibrosis in human immunodeficiency virus (HIV)-HCV coinfected individuals is unknown.

Methods. The study population consisted of participants from the Canadian Co-infection Cohort study (CTN 222), a multicenter longitudinal study of HIV-HCV coinfected individuals from 2003 to 2014. Data were analyzed for all participants who did not have significant fibrosis or end-stage liver disease (ESLD) at baseline. The association between time-updated tobacco exposure (ever vs nonsmokers and pack-years) and progression to significant liver fibrosis (defined as an aspartate-to-platelet ratio index [APRI] ≥1.5) or ESLD was assessed by pooled logistic regression.

Results. Of 1072 participants included in the study, 978 (91%) had ever smoked, 817 (76%) were current smokers, and 161 (15%) were previous smokers. Tobacco exposure was not associated with accelerated progression to significant liver fibrosis nor with ESLD when comparing ever vs never smokers (odds ratio [OR] = 1.06, 95% confidence interval [CI], 0.43–1.69 and OR = 1.20, 95% CI, 0.21–2.18, respectively) or increases in pack-years smoked (OR = 1.05, 95% CI, 0.97–1.14 and OR = 0.94, 95% CI, 0.83–1.05, respectively). Both time-updated alcohol use in the previous 6 months and presence of detectable HCV ribonucleic acid were associated with APRI score ≥1.5.

Conclusions. Tobacco exposure does not appear to be associated with accelerated progression of liver disease in this prospective study of HIV-HCV coinfected individuals.

Smoking and long-term risk of type 2 diabetes: the EPIC-InterAct study in European populations

OBJECTIVE

The aims of this study were to investigate the association between smoking and incident type 2 diabetes, accounting for a large number of potential confounding factors, and to explore potential effect modifiers and intermediate factors.

RESEARCH DESIGN AND METHODS

The European Prospective Investigation into Cancer and Nutrition (EPIC)-InterAct is a prospective case-cohort study within eight European countries, including 12,403 cases of incident type 2 diabetes and a random subcohort of 16,835 individuals. After exclusion of individuals with missing data, the analyses included 10,327 cases and 13,863 subcohort individuals. Smoking status was used (never, former, current), with never smokers as the reference. Country-specific Prentice-weighted Cox regression models and random-effects meta-analysis were used to estimate hazard ratios (HRs) for type 2 diabetes.

RESULTS

In men, the HRs (95% CI) of type 2 diabetes were 1.40 (1.26, 1.55) for former smokers and 1.43 (1.27, 1.61) for current smokers, independent of age, education, center, physical activity, and alcohol, coffee, and meat consumption. In women, associations were weaker, with HRs (95% CI) of 1.18 (1.07, 1.30) and 1.13 (1.03, 1.25) for former and current smokers, respectively. There was some evidence of effect modification by BMI. The association tended to be slightly stronger in normal weight men compared with those with overall adiposity.

CONCLUSIONS

Former and current smoking was associated with a higher risk of incident type 2 diabetes compared with never smoking in men and women, independent of educational level, physical activity, alcohol consumption, and diet. Smoking may be regarded as a modifiable risk factor for type 2 diabetes, and smoking cessation should be encouraged for diabetes prevention.

Cigarette smoking and albuminuria are associated with impaired arterial smooth muscle function in patients with type 2 diabetes mellitus: a FIELD substudy

AIM

Impaired arterial function has been implicated in diabetes-related atherosclerosis, but its determinants in high-risk adults have not been well characterised. We investigated factors associated with impaired arterial function in adults with type 2 diabetes.

METHODS

Flow-mediated dilatation (a marker of endothelial function) and dilator response to glyceryl trinitrate (to assess smooth muscle function) of the brachial artery were assessed at baseline in 193 patients with type 2 diabetes from the Fenofibrate Intervention and Event Lowering in Diabetes (FIELD) study. Traditional risk factors were assessed and a multivariable model was constructed to identify factors independently associated with impaired arterial function.

RESULTS

Median age was 64 years (interquartile range, 58-69; 61% male) and duration of diabetes was 4 years (interquartile range, 2-9). Flow-mediated dilatation (3.06 ± 0.25%, mean ± SEM) was severely impaired but not significantly associated with other risk factors. Dilator responses to glyceryl trinitrate (10.56 ± 0.52%) were significantly and independently impaired in past and present cigarette smokers (P = 0.005) and in subjects with increased urinary albumin/creatinine ratio (P = 0.01).

CONCLUSIONS

In adults with type 2 diabetes and known or suspected atherosclerosis, arterial smooth muscle-dependent dilatation was shown to be significantly impaired in cigarette smokers and those with elevated urinary albumin levels.

HbA1c, fasting and 2 h plasma glucose in current, ex- and never-smokers: a meta-analysis

AIMS/HYPOTHESIS

The relationships between smoking and glycaemic variables have not been well explored. We compared HbA1c, fasting plasma glucose (FPG) and 2 h plasma glucose (2H-PG) in current, ex- and never-smokers.

METHODS

This meta-analysis used individual data from 16,886 men and 18,539 women without known diabetes in 12 DETECT-2 consortium studies and in the French Data from an Epidemiological Study on the Insulin Resistance Syndrome (DESIR) and Telecom studies. Means of three glycaemic variables in current, ex- and never-smokers were modelled by linear regression, with study as a random factor. The I (2) statistic was used to evaluate heterogeneity among studies.

RESULTS

HbA1c was 0.10% (95% CI 0.08, 0.12) (1.1 mmol/mol [0.9, 1.3]) higher in current smokers and 0.03% (0.01, 0.05) (0.3 mmol/mol [0.1, 0.5]) higher in ex-smokers, compared with never-smokers. For FPG, there was no significant difference between current and never-smokers (-0.004 mmol/l [-0.03, 0.02]) but FPG was higher in ex-smokers (0.12 mmol/l [0.09, 0.14]). In comparison with never-smokers, 2H-PG was lower (-0.44 mmol/l [-0.52, -0.37]) in current smokers, with no difference for ex-smokers (0.02 mmol/l [-0.06, 0.09]). There was a large and unexplained heterogeneity among studies, with I (2) always above 50%; I (2) was little changed after stratification by sex and adjustment for age and BMI. In this study population, current smokers had a prevalence of diabetes that was 1.30% higher as screened by HbA1c and 0.52% lower as screened by 2H-PG, in comparison with never-smokers.

CONCLUSION/INTERPRETATION

Across this heterogeneous group of studies, current smokers had a higher HbA1c and lower 2H-PG than never-smokers. This will affect the chances of smokers being diagnosed with diabetes.

Dose-response relationship between tobacco or alcohol consumption and the development of diabetes mellitus in Japanese male workers

BACKGROUND

The aim of this study was to examine the dose-response relationships between tobacco or alcohol consumption and the development of diabetes mellitus.

METHODS

An 8-year prospective cohort study was conducted in 8423 male workers who received annual health check-ups between 2002 and 2010 at a Japanese steel company. The endpoints were defined as an HbA(lc)≥6.1% or taking any anti-diabetic medication. The dose-response relationships of tobacco or alcohol consumption were investigated using a proportional hazards regression with time-dependent covariates selected from baseline age, body mass index, mean arterial pressure, total serum cholesterol, aspartate aminotransferase, creatinine and uric acid, shift work or day work, and habitual exercise by stepwise selection method.

RESULTS

A positive dose-response relationship between tobacco consumption and the development of diabetes mellitus was observed, with a significantly higher hazard ratio (HR) seen with higher tobacco consumption (11-20 cigarettes/day, HR 1.26 [95% confidence interval (CI), 1.00-1.59], ≥21 cigarettes/day, HR 1.54 [95%CI, 1.20-1.97]). In contrast, we observed a negative dose-response relationship between alcohol consumption and the development of diabetes mellitus, with a significantly lower HR with higher weekly alcohol consumption (7.0-13.9 gou/week [154-307 g/week], HR 0.73 [95% CI, 0.55-0.97], ≥14.0 gou/week [308 g/week], HR 0.75 [95% CI, 0.57-0.98]).

CONCLUSIONS

The results indicated that decreasing tobacco consumption will achieve significant prevention of diabetes mellitus. On the other hand, we observed a significant, negative dose-response relationship between alcohol consumption and the development of diabetes mellitus, in contrast to previous studies that reported a positive relationship in the Japanese population.

Effects of cigarette smoking, metabolic syndrome and dehydroepiandrosterone deficiency on intima-media thickness and endothelial function in hypertensive postmenopausal women

Background

Cigarette smoking is a major risk factor of atherosclerosis. The aim of this study was to assess the relationship between smoking and arterial hypertension as well as endothelial dysfunction in postmenopausal women without clinically manifested symptoms of atherosclerosis.

Material/Methods

The study groups consisted of 35 current smokers and 45 nonsmokers. The thickness of intima-media complex (IMT), a marker of atherosclerosis, was measured in carotid arteries. Plasma concentrations of fasting glucose, insulin, lipoproteins, inflammatory markers (tumor necrosis factor-alpha, intercellular adhesion molecule-1), matrix metalloproteinases (metalloproteinase-9, tissue inhibitor of metalloproteinase-1), insulin, and dehydroepiandrosterone sulfate (DHEA-S) were measured.

Results

Smokers compared with nonsmokers showed lower fasting glucose levels in blood (87.0±10.9 and 93.2±13.6 mg/dl, p<0.05), higher mean systolic (131.1±15.9 vs. 123.0±10.9 mm Hg, p<0.05) and diastolic (81.7±11.4 vs. 75.2±9.2 mm Hg, p<0.05) blood pressure during daytime, and higher average heart rate during the daytime (78.2±9.3/min vs. 71.5±9.5/min, p<0.01) and at night (67.2±10.6/min vs. 61.7±7.7/min, p<0.05), respectively. The IMT in the right carotid artery was significantly higher in smokers than in nonsmokers (0.96±0.16 mm vs. 0.82±0.21, p<0.05) and was positively correlated with smoking intensity (R=0.36) and habit duration (R=0.35). The comparison of inflammatory markers, metalloproteinases, and DHEA-S concentrations in plasma did not reveal significant differences between the 2 groups. A significant negative correlation between DHEA-S concentration in plasma and IMT in right carotid artery was found in smokers.

Conclusions

Smoking in hypertensive postmenopausal women is associated with lower fasting blood glucose and BMI values, but higher arterial pressure and heart rate, and increases in IMT in right carotid artery.

Health professional advice for smoking and weight in adults with and without diabetes: findings from BRFSS

Health risk behaviors including smoking and weight-gain can cause and exacerbate chronic diseases like diabetes. Brief provider advice is an effective intervention to reduce risk from these behaviors. However, behavioral advice is provided more often to those who already have a chronic illness when compared with those who are at risk. The purpose of this study is to determine whether the frequency of provider advice for smoking cessation and weight loss varies between overweight or obese smokers with and without diabetes. BRFSS data from a subset of overweight and obese smokers with (n = 848) and without (n = 6,279) diabetes were analyzed to determine differences in reported provider advice. Overweight and obese smokers with diabetes reported receiving more advice for both weight (46.4% vs. 23.4%, P < 0.001) and smoking (84.5% vs. 72.8%, P < 0.001) compared to those without diabetes. Advice for smoking cessation was reported two to three times more often than advice for weight. Nearly a quarter of those with diabetes and almost half of those without reported no receipt of advice about weight. Results indicate that providers are not adequately addressing overweight and obesity in patients with and at risk for diabetes.

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.

Treatment of atherogenic liver based on the pathogenesis of nonalcoholic fatty liver disease: a novel approach to reduce cardiovascular risk?

Nonalcoholic fatty liver disease (NAFLD), which spans a spectrum of conditions ranging from simple steatosis to progressive nonalcoholic steatohepatitis (NASH), is the most common chronic liver disease and a relevant public health issue. The prevalence of NAFLD depends on adiposity, age, gender and ethnicity. The natural history of liver disease in those with NAFLD critically depends on liver histological changes. However, cardiovascular mortality is increased in NAFLD, particularly in middle-aged adults. Against such a background, this review consists of three sections. First, data on NAFLD as a novel mechanism of increased cardiovascular risk via hyperinsulinism, pro-thrombotic potential, and subclinical inflammation are summarized. Next, the role of atherogenic liver in the development of manifestations of oxidative stress and atherosclerosis is emphasized. Finally, whether and how treating NAFLD will mechanistically result in reduced cardiovascular risk through ameliorated metabolic syndrome is discussed.

Risk factors for premature death in middle aged men

The causes of premature death and the associated risk factors were analysed in a cohort of 7935 middle aged men participating in a preventive population programme in Malmö. They were screened when aged 46-48 and then followed up for 3(1/2)-8 years. Two hundred and eighteen died, of whom 181 (83%) underwent necropsy. Three major causes of death were established: cancer in 61 (28%), deaths related to consumption of alcohol in 55 (25%), and coronary heart disease in 50 (23%).Distinctly different patterns of risk factors were found to be associated with each of the three main causes of premature death. In death due to coronary heart disease smoking (p=0.0062), serum cholesterol concentration (p=0.00014), serum triglyceride concentration (p=0.00013), systolic blood pressure (p=0.000012), and diastolic blood pressure (p=0.0021) were the strongest single determinants but diastolic blood pressure ceased to be a predictive factor in a multivariate analysis whereas all the other variables could be combined in a highly predictive logistic model. In death related to consumption of alcohol equal or even stronger associations were found for serum gamma glutamyltransferase activity (p<0.0001), points scored in a questionnaire screening for alcoholism (p<0.0001), and, inversely, serum cholesterol (p=0.0046) and serum creatinine (p<0.0001) concentrations both when applied independently and when combined in a logistic model. In death due to cancer significant associations were found for serum urate concentration (p=0.023) and, inversely, serum cholesterol concentration (p=0.056-0.031).Malignant diseases and diseases related to consumption of alcohol were at least as prominent as cardiovascular disorders in causing premature death in the cohort of men studied. All three types of conditions are potentially avoidable and seem to be associated with significant and distinctive patterns of risk factors. These patterns should be used, as blood pressure and serum lipid concentrations already are, to predict the risk of premature death and indicate preventive measures.

The changes of blood glucose control and lipid profiles after short-term smoking cessation in healthy males

OBJECTIVE

Our aim was to evaluate the changes in blood glucose control and lipid profiles after 2-months of smoking cessation in healthy males.

METHODS

Smoking abstinence was evaluated through self-report and urine cotinine levels. 12 individuals who succeeded in quitting smoking were analyzed. Fasting values of glucose and insulin were used to estimate the β-cell activity and insulin resistance was evaluated using the Homeostasis Model Assessment (HOMA) and Quantitative Insulin Sensitivity Check Index (QUICKI).

RESULTS

The data showed that the subjects had a significant increase in weight, body mass index and fasting plasma glucose levels after smoking cessation. The HOMA-Insulin Resistance and the HOMA β-cell function increased significantly (p=0.005, p=0.047 respectively). The QUICKI showed a significant decrease (p=0.005). In addition, the low-density lipoprotein cholesterol levels decreased significantly (p=0.028); however, changes in the high-density lipoprotein cholesterol, the triglyceride and total cholesterol levels were not significant (p=0.284, p=0.445 respectively).

CONCLUSION

During the initial stage of smoking abstinence, insulin resistance increased and insulin sensitivity decreased due to elevated body weight and fat composition. Therefore, it is important to educate individuals that stop smoking about the necessity of weight control during smoking cessation programs.

Dietary patterns and incident type 2 diabetes in chinese men and women: the singapore chinese health study

OBJECTIVE

To empirically derive dietary patterns and examine their association with incident type 2 diabetes.

RESEARCH DESIGN AND METHODS

We used data from the Singapore Chinese Health Study, including 43,176 Chinese men and women (aged 45-74 years), free of diabetes, cardiovascular disease, and cancer at baseline (1993-1998) and followed up through 2004. Two major dietary patterns were identified using principal components analysis: a vegetable, fruit, and soy-rich pattern (VFS) and a dim sum and meat-rich pattern (DSM). Pattern scores for each participant were calculated and examined with type 2 diabetes risk using Cox regression.

RESULTS

The associations of the two dietary patterns with diabetes risk were modified by smoking status. Neither pattern was associated with risk of diabetes in ever smokers. In never smokers, the VFS dietary pattern was inversely associated with risk of type 2 diabetes. Compared with the lowest quintile of the VFS dietary pattern score, the hazard ratios (HRs) for quintiles 2-5 were 0.91, 0.82, 0.73, and 0.75 (P = 0.0005 for trend). The DSM dietary pattern was positively associated with risk of type 2 diabetes in never smokers, with HRs for quintiles 2-5 of 1.07, 1.25, 1.18, and 1.47 (P < 0.0001 for trend).

CONCLUSIONS

A dietary pattern with higher intake of vegetables, fruits, and soy foods was inversely associated with risk of incident type 2 diabetes, and a pattern with higher intake of dim sum, meat and processed meat, sweetened foods and beverages, and fried foods was associated with a significantly increased risk of type 2 diabetes in Chinese men and women in Singapore.

Smoking and severity of hepatic fibrosis in nonalcoholic fatty liver disease

BACKGROUND & AIMS

Although many predictors of disease severity of nonalcoholic fatty liver disease (NAFLD) have been proposed, studies of the potential effects of specific environmental exposures on human NAFLD are lacking. Smoking increases insulin resistance. Given the pathophysiological role of insulin resistance in NAFLD, characterization of the influence of smoking in NAFLD is warranted. The aim of this paper was to study the potential association between cigarette smoking and advanced fibrosis in NAFLD.

METHODS

All adults enrolled in the NASH CRN studies, between October 2004 and February 2008, who had liver biopsies, were included (n=1091). Advanced fibrosis was defined as stages 3-4. Analyses were performed.

RESULTS

Significant bivariate associations were demonstrated between advanced fibrosis and age, gender, ethnicity, diabetes, and smoking history. History of smoking ≥ 10 pack-years was more common (p <0.0001) among patients with advanced fibrosis. Multivariate analysis demonstrated an association between smoking history of ≥ 10 pack-years and advanced fibrosis (OR=1.63). Among non-diabetics, history of ≥ 10 pack-years was associated with an OR of 2.48 for advanced fibrosis. High frequencies of advanced fibrosis were observed among diabetics (with or without ≥ 10 pack-years history) and non-diabetics with ≥ 10 pack-years history as compared to non-diabetics without significant smoking history.

CONCLUSIONS

Smoking history was associated with advanced liver fibrosis in this large multicenter cohort of NAFLD patients. The results indicate that smoking may enhance the progression of NAFLD partly through its effect on insulin resistance. Our results are consistent with recent animal studies suggesting that cigarette smoke may aggravate fatty liver. To our knowledge, this is the first study to show that cigarette smoking is associated with increased fibrosis severity in human NALFD, suggesting it may accelerate disease progression. These results may support a formal recommendation of smoking cessation in patients with NAFLD.

Predictors of incident albuminuria in the Framingham Offspring cohort

BACKGROUND

Predictors for incident albuminuria are not well known in population-based cohorts. The purpose of this study is to identify predictors of incident albuminuria in an unselected middle-aged population.

STUDY DESIGN

Observational cohort study.

SETTING & PARTICIPANTS

Framingham Offspring Study participants who attended both the sixth (baseline; 1995-1998) and eighth (2005-2008) examination cycles.

PREDICTORS

Standard clinical predictors were used. Predictors of incident albuminuria were identified using stepwise logistic regression analysis with age and sex forced into the model.

OUTCOMES & MEASUREMENTS

Albuminuria was defined as urine albumin-creatinine ratio (UACR) ≥ 17 mg/g (men) or ≥ 25 mg/g (women). Individuals with albuminuria at baseline were excluded.

RESULTS

1,916 participants were available for analysis (mean age, 56 years; 54% women). Albuminuria developed in 10.0% of participants (n = 192) during 9.5 years. Age (OR, 2.09; P < 0.001), baseline diabetes (OR, 1.93; P = 0.01), smoking (OR, 2.09; P < 0.001), and baseline log UACR (OR per 1-SD increase in log UACR, 1.56; P < 0.001) were associated with incident albuminuria in a stepwise model. An inverse relationship with female sex (OR, 0.53; P < 0.001) and high-density lipoprotein (HDL) cholesterol level (OR, 0.80; P = 0.007) also was observed. Results were similar when participants with baseline chronic kidney disease (n = 102), defined as estimated glomerular filtration rate <60 mL/min/1.73 m(2), were excluded from the model. Age, male sex, low HDL cholesterol level, smoking, and log UACR continued to be associated with incident albuminuria when baseline diabetes (n = 107) was excluded. Age, male sex, and log UACR correlated with incident albuminuria after participants with baseline hypertension were excluded (n = 651).

LIMITATIONS

Causality may not be inferred because of the observational nature of the study. One-third of participants did not return for follow-up, potentially attenuating the observed risks of albuminuria.

CONCLUSIONS

The known cardiovascular risk factors of increasing age, male sex, diabetes, smoking, low HDL cholesterol level, and albuminuria within the reference range are correlates of incident albuminuria in the general population.

Prevalência de Diabetes Mellitus autorreferida entre trabalhadores de enfermagem

OBJETIVOS: Verificar a prevalência de Diabetes Mellitus autorreferida em trabalhadores de enfermagem de um hospital universitário; identificar os principais fatores de risco para o Diabetes Mellitus (DM) e, entre os que já possuem a doença, identificar as dificuldades relacionadas a seu controle. MÉTODOS: Estudo epidemiológico transversal, realizado no período de agosto de 2007 a janeiro de 2008. Foram entrevistados 1.287 profissionais de enfermagem (82%), utilizando-se questionário contendo 22 questões fechadas. A análise dos dados foi realizada pelos testes Qui-quadrado e exato de Fisher. O teste t de Student foi empregado para as variáveis contínuas. RESULTADOS: Observou-se a prevalência de 3% de DM autorreferida. Os principais fatores de risco reconhecidos foram: idade, sexo, peso e histórico familiar. Detectou-se que o plantão noturno concentrava mais da metade dos diabéticos. CONCLUSÃO: A prevalência de DM autorreferida nesse hospital foi menor do que a esperada para a cidade de São Paulo. Dentre os fatores de risco encontrados, o sobrepeso é o único modificável. O plantão noturno concentra a maioria dos funcionários com diabetes.

Cigarette smoking, smoking cessation, and diabetes

There is evidence for increased risk of developing type 2 diabetes among cigarette smokers. In addition, smoking-associated health risks can exacerbate major conditions that precede or accompany diabetes, such as cardiovascular and kidney diseases. Smoking cessation can result in weight gain and a short-term worsening of some diabetic symptoms that may deter smokers with diabetes from attempting to quit. Additionally, there is limited evidence regarding the efficacy/safety of smoking cessation pharmacotherapies in this population and the general effects of smoking cessation, particularly for type 1 diabetes. Smoking cessation in diabetes therefore remains a highly relevant subject for further research.

Alcohol-related death and associated risk factors in urban middle-aged males

Alcohol-related disorders belong to the spectrum of major non-infectious diseases in Western societies which can be prevented by means that have not yet been fully implemented. Total consecutive mortality in a population of 10353 middle-age males invited to take a part in a preventive medical population program in Malmö was followed up for 3.5-8.5 years (mean 4.5) after the time of invitation and analysed in relation to participation or non-participation and forensic or in-hospital autopsy. Entry characteristics in the 7935 males who attended the screening were compared in order to evaluate risk factor patterns for the major categories of premature death during the follow-up period. Even in the males participating in the screening, alcohol-related deaths (ARD) constituted a major mortality category, comprising 55 of 218 cases, whereas cancer comprised 61 and coronary heart disease (CHD) 50 of the premature deaths in this group. Both in the ARD and CHD categories of male premature mortality, significant and distinctly differential risk factor patterns were found; in CHD for smoking, cholesterol, serum triglycerides and systolic blood pressure, and in ARD for gamma-glutamyltransferase, questionnaire alcoholism screening test and, inversely, serum cholesterol and serum creatinine. In both groups of diseases, these risk factors could be combined into highly predictive multiple logistic risk factor functions. The discriminative power of this instrument was even higher in ARD than in CHD deaths. In consequence, these factors may be applied both as indicators of the ARD risk and as signals and instrument for directed preventive measures in analogy with previously well established and tested methods for the regulation of blood pressure, serum lipids, etc. in the conquest of the cardiovascular diseases.

Association of diabetes and cigarette smoke exposure on the glycemia and liver glycogen of pregnant Wistar rats

PURPOSE: To evaluate cigarette smoke exposure and/or diabetes association effects on the glycemia and liver glycogen levels of pregnant Wistar rats. METHODS: 60 adult rats were randomly distributed into (n=10/group): non-diabetic exposed to filtered air (G1); non-diabetic exposed to cigarette smoke only before pregnancy (G2); non-diabetic exposed to cigarette smoke before and during pregnancy (G3); diabetic exposed to filtered air (G4); diabetic exposed to cigarette smoke only before pregnancy (G5), and diabetic exposed to cigarette smoke before and during pregnancy (G6). Glycemia was determined at days 0 and 21 of pregnancy. Liver samples were collected for liver glycogen determinations. RESULTS: At day 21 of pregnancy, glycemia was higher in G5 and G6 compared to G4 group. G2 (2.43±0.43), G3 (3.20±0.49), G4 (2.62±0.34), G5 (2.65±0.27) and G6 groups (1.94±0.35) presented decreased liver glycogen concentrations compared to G1 (4.20±0.18 mg/100mg liver tissue) (p<0.05). G5 and G6 groups presented decreased maternal weight gain and litter weight. CONCLUSIONS: Severe diabetes and cigarette smoke exposure, alone or associated, caused impairment in liver glycogen storage at term pregnancy. Due to the fact that liver glycogen storages were considered determinant for glucose tolerance, it is relevant to point out a rigid clinical glycemic control and to stop smoking so earlier in pregnancy programming.

The association between hyperglycemia and fracture risk in middle age. A prospective, population-based study of 22,444 men and 10,902 women

AIMS

Type 1 diabetes mellitus is associated with increased fracture risk, whereas the risk associated with type 2 diabetes is less obvious. Elevated fasting blood glucose and high 2-h glucose during an oral glucose tolerance test indicate impaired glucose tolerance or diabetes. The associations among fasting blood glucose, 2-h glucose, and the risk of fracture were investigated.

METHODS

The Malmö Preventive Project consists of 22,444 men (44+/-6.6 yr) and 10,902 women (50+/-7.4 yr), with a follow-up of 19 yr (+/-3.9) and 15 yr (+/-4.5) for incident fractures. Baseline assessment included multiple examinations and lifestyle information. A logistic regression model was used. Adjustments were made for age, body mass index (BMI), and smoking.

RESULTS

Low-energy fractures were recorded in 1246 men and 1236 women. A 2-h glucose measurement between 4.3 and 6.2 mmol/liter in men (second and third quartile), and above 6.5 mmol/liter in women (third and fourth quartile), adjusted for age, BMI, and smoking, was significantly associated with a decreased risk of multiple fractures, in men [odds ratios (ORs) 0.57-0.71] and women (ORs 0.38-0.66). In women, a 2-h glucose measurement above 7.5 mmol/liter was associated with a decreased risk of osteoporotic fractures (OR 0.57, 95% confidence interval 0.44-0.74).

CONCLUSIONS

In middle-aged men and women, elevated 2-h glucose levels were associated with decreased risks of multiple and osteoporotic fractures, independent of age, BMI, and smoking. A high 2-h glucose level is characterized by peripheral insulin resistance with a high insulin level. Our findings indirectly suggest a positive effect on bone from hyperglycemia.

Prevention of diabetes development in those with the metabolic syndrome

Metabolic syndrome is characterized by abnormal glucose levels, central obesity, hypertension, elevated triglycerides, and low HDL cholesterol. This article reviews available data regarding the impact of lifestyle modification and drug therapies on the progression to diabetes in high risk individuals, such as those with hypertension, dyslipidemia, obesity, and prediabetes. Lifestyle and pharmacological interventions may alter metabolic parameters and impact progression to diabetes. However, the cost-effectiveness of these interventions are unclear.

Active and passive smoking and development of glucose intolerance among young adults in a prospective cohort: CARDIA study

OBJECTIVE

To assess whether active and passive smokers are more likely than non-smokers to develop clinically relevant glucose intolerance or diabetes.

DESIGN

Coronary artery risk development in young adults (CARDIA) is a prospective cohort study begun in 1985-6 with 15 years of follow-up.

SETTING

Participants recruited from Birmingham, Alabama; Chicago, Illinois; Minneapolis, Minnesota; and Oakland, California, USA.

PARTICIPANTS

Black and white men and women aged 18-30 years with no glucose intolerance at baseline, including 1386 current smokers, 621 previous smokers, 1452 never smokers with reported exposure to secondhand smoke (validated by serum cotinine concentrations 1-15 ng/ml), and 1113 never smokers with no exposure to secondhand smoke.

MAIN OUTCOME MEASURE

Time to development of glucose intolerance (glucose > or = 100 mg/dl or taking antidiabetic drugs) during 15 years of follow-up.

RESULTS

Median age at baseline was 25, 55% of participants were women, and 50% were African-American. During follow-up, 16.7% of participants developed glucose intolerance. A graded association existed between smoking exposure and the development of glucose intolerance. The 15 year incidence of glucose intolerance was highest among smokers (21.8%), followed by never smokers with passive smoke exposure (17.2%), and then previous smokers (14.4%); it was lowest for never smokers with no passive smoke exposure (11.5%). Current smokers (hazard ratio 1.65, 95% confidence interval 1.27 to 2.13) and never smokers with passive smoke exposure (1.35, 1.06 to 1.71) remained at higher risk than never smokers without passive smoke exposure after adjustment for multiple baseline sociodemographic, biological, and behavioural factors, but risk in previous smokers was similar to that in never smokers without passive smoke exposure.

CONCLUSION

These findings support a role of both active and passive smoking in the development of glucose intolerance in young adulthood.

Prevenção do diabetes mellitus tipo 2

Diabetes mellitus do tipo 2 (DM2) é uma doença metabólica complexa, multifatorial e de presença global, que afeta a qualidade e o estilo de vida dos acometidos, podendo levar a uma redução pronunciada na expectativa de vida dessa população. Portadores de diabetes podem ter uma redução de 15 ou mais anos de vida, com a grande maioria morrendo em decorrência das complicações cardiovasculares. Faz-se necessário o estabelecimento de estratégias efetivas para a redução do impacto do DM2 para os próximos anos. Para isso, urge a necessidade de maior atenção no tocante às estratégias de prevenção, sobretudo para as populações de maior risco de desenvolvimento da doença. Nesse contexto, os portadores de tolerância diminuída à glicose (TDG) e glicemia de jejum alterada (GJA) devem, cada vez mais, ser alvos de estratégias de intervenção na busca de minimização de risco para o diabetes, devendo para isso terem direcionamento para a efetivação de mudanças comportamentais (fatores dietoterápicos e prática de atividade física) e, quando necessário e aprovado, o uso de agentes farmacológicos. Estudos conduzidos pelo mundo têm confirmado a eficácia do uso de estratégias comportamentais e mesmo do uso de agentes farmacológicos para a prevenção de DM2.

Association between cigarette smoking, metabolic syndrome, and carotid arteriosclerosis in Japanese individuals

Cigarette smoking is associated with increased insulin resistance and other metabolic abnormalities. Here, we investigate the prevalence of metabolic syndrome (MetS) in cigarette smokers and people who never smoked by analyzing cross-sectional data of 5033 subjects aged between 35 and 65 years who underwent general health screening. Both former and current smoking was associated with an increased incidence of metabolic syndrome defined by modified-National Cholesterol Education Program (NCEP) criteria with odds ratios of 1.77 (95% CI 1.42-2.22, P < 0.0001) and 2.38 (95% CI 1.95-2.91, P < 0.0001), respectively. In both former and current smokers, prevalence of metabolic syndrome increased when the duration of cigarette smoking was > or = 10 years. The positive association between metabolic syndrome and smoking was only partially reversed even 5 years after quitting. Multivariate logistic regression analysis showed that metabolic syndrome was an independent risk factor for carotid plaque with an odds ratio of 1.72 (95% CI 1.43-2.08, P < 0.0001). On the other hand, when limited to individuals without metabolic syndrome, former and current smoking was still found to be associated with carotid plaque with odds ratios of 1.49 (95% CI 1.15-1.92, P = 0.0023) and 1.57 (95% CI 1.22-2.03, P = 0.0005), respectively, in men. Collectively, these data suggest that the atherogenic consequences of smoking may, at least in part, be explained by its association with metabolic syndrome.

Smoking cessation and weight gain

Cigarette smoking is the single most important preventable cause of death and illness. Smoking cessation is associated with substantial health benefits. Weight gain is cited as a primary reason for not trying to quit smoking. There is a great variability in the amount of weight gain but younger ages, lower socio-economic status and heavier smoking are predictors of higher weight gain. Weight change after smoking cessation appears to be influenced by underlying genetic factors. Besides, weight gain after smoking cessation is largely because of increased body fat and some studies suggest that it mostly occurs in the subcutaneous region of the body. The mechanism of weight gain includes increased energy intake, decreased resting metabolic rate, decreased physical activity and increased lipoprotein lipase activity. Although there is convincing evidence for the association between smoking cessation and weight gain, the molecular mechanisms underlying this relationship are not well understood. This review summarizes current information of the effects of nicotine on peptides involved in feeding behaviour. Smoking was shown to impair glucose tolerance and insulin sensitivity and cross-sectional studies have demonstrated that smokers are insulin-resistant and hyperinsulinaemic, as compared with non-smokers. Smoking cessation seems to improve insulin sensitivity in spite of the weight gain. Nicotine replacement - in particular nicotine gum - appears to be effective in delaying post-cessation weight gain. In a group of women who failed to quit smoking because of weight gain, a dietary intervention (intermittent very-low-calorie diet) plus nicotine gum showed to both increase success rate in terms of smoking cessation and prevent weight gain. On the other hand, body weight gain at the end of treatment was significantly lower in the patients receiving bupropion or bupropion plus nicotine patch, compared with placebo. Studies with new drugs available for the treatment of obesity - sibutramine and orlistat - are warranted.

Insulin resistance and compensatory hyperinsulinemia: the key player between cigarette smoking and cardiovascular disease?

Hyperinsulinemia, dyslipidemia, and endothelial dysfunction are characteristic findings in insulin-resistant individuals, and all of these abnormalities have been identified as increasing cardiovascular disease (CVD) risk. Smokers tend to be relatively insulin resistant, hyperinsulinemic, and dyslipidemic, with evidence of endothelial dysfunction, as compared with nonsmokers, and recent epidemiologic data have suggested that CVD in smokers is primarily seen in those individuals who also have the characteristic findings of insulin resistance. Based on these observations, it is argued that insulin resistance and its consequences represent a major mechanistic link between cigarette smoking and CVD. It is also postulated that the enhanced CVD risk in smokers, resulting from hyperinsulinemia, abnormalities of lipoprotein metabolism, and endothelial dysfunction, will primarily be present in those smokers who are insulin resistant. As a corollary, it is suggested that CVD risk in individuals who cannot, or will not, stop smoking can be reduced by therapeutic efforts aimed at attenuating the adverse effects of insulin resistance and its consequences.