Association of passive and active smoking with incident type 2 diabetes mellitus in the elderly population: the KORA S4/F4 cohort study

Air Pollution and Diabetes Mellitus: Association and Validation in a Desert Area in China

CONTEXT

Despite the growing evidence pointing to the detrimental effects of air pollution on diabetes mellitus (DM), the relationship remains poorly explored, especially in desert-adjacent areas characterized by high aridity and pollution.

OBJECTIVE

We conducted a cross-sectional study with health examination data from more than 2.9 million adults in 2 regions situated in the southern part of the Taklamakan Desert, China.

METHODS

We assessed 3-year average concentrations (2018-2020) of particulate matter (PM1, PM2.5, and PM10), carbon monoxide (CO), nitrogen dioxide (NO2), and sulfur dioxide (SO2) through a space-time extra-trees model. After adjusting for various covariates, we employed generalized linear mixed models to evaluate the association between exposure to air pollutants and DM.

RESULTS

The odds ratios for DM associated with a 10 µg/m3 increase in PM1, PM2.5, PM10, CO, and NO2 were 1.898 (95% CI, 1.741-2.070), 1.07 (95% CI, 1.053-1.086), 1.013 (95% CI, 1.008-1.018), 1.009 (95% CI, 1.007-1.011), and 1.337 (95% CI, 1.234-1.449), respectively. Notably, men, individuals aged 50 years or older, those with lower educational attainment, nonsmokers, and those not engaging in physical exercise appeared to be more susceptible to the adverse effects of air pollution. Multiple sensitivity analyses confirmed the stability of these findings.

CONCLUSION

Our study provides robust evidence of a correlation between prolonged exposure to air pollution and the prevalence of DM among individuals living in desert-adjacent areas. This research contributes to the expanding knowledge on the relationship between air pollution exposure and DM prevalence in desert-adjacent areas.

A retrospective evaluation of parental smoking and the risk of Type 1 diabetes in children

INTRODUCTION

The association between secondhand smoking (SHS) and the risk of Type 1 diabetes mellitus (DM) has garnered increasing interest. The aim of this study is to examine whether exposure to SHS is associated with an increased likelihood of Type 1 DM.

METHODS

This study was designed as a case-control study. Children aged 4-14 years diagnosed with Type 1 DM who were followed in the Endocrine and Metabolic Diseases Outpatient Clinic were included as cases, and healthy children (without any chronic disease) in the same age range were included as the controls. A total of 248 children were included in the study, with two research arms. The structured questionnaire was applied face-to-face. Adjusted odds ratios (AOR) and 95% confidence intervals (CIs) of other risk factors were evaluated by multivariable regression analysis.

RESULTS

No difference was found in the number of cigarettes mothers smoked daily and the duration of the smoking period during pregnancy and lactation, between the two groups. Among the cases, the daily number of cigarettes smoked by parents at home was 3.28 ± 4.90, higher than in the controls (p=0.039). Comparing the controls, children with Type 1 DM were more likely to be exposed to SHS at home by 1.08 (95% CI: 1.004-1.15, p=0.039) times in cases.

CONCLUSIONS

Children with Type 1 DM had higher odds of being exposed to SHS at home. These results suggest substantial health gains could be made by extending effective public health interventions to reduce exposure to SHS and prevent Type 1 DM in children.

Association of polymorphisms within P2RX4 with type 2 diabetes mellitus: a preliminary case-control study

OBJECTIVE

Type 2 diabetes mellitus (T2DM) is a complex heterogenic metabolic with a wide range of etiology. Purinergic receptors have pivotal roles in different processes and are hypothesized to have roles in the pathogenesis of T2DM.

MATERIALS AND METHODS

Three hundred subjects affected by T2DM and 300 healthy subjects were genotyped by amplification refractory mutation system polymerase chain reaction (ARMS-PCR). SPSS V16.0 was recruited for statistical analysis.

RESULTS

The findings showed that the G allele of rs25644A > G increases the risk of T2DM in our population statistically (OR = 1.51, 95% CI = 1.14-1.99, p = 0.003). This allele in some genotype models, including the dominant model, caused an increase in the risk of T2DM. The interaction of genotypes between studied variants in the P2XR4 gene increased the risk of T2DM. Haplotype analysis showed that Ars1169727/Grs25644 haplotype caused an increase in the risk of T2DM.

CONCLUSIONS

The findings suggest that rs25644A > G plays a role in our population's increased risk of T2DM.

Health effects associated with exposure to secondhand smoke: a Burden of Proof study

Despite a gradual decline in smoking rates over time, exposure to secondhand smoke (SHS) continues to cause harm to nonsmokers, who are disproportionately children and women living in low- and middle-income countries. We comprehensively reviewed the literature published by July 2022 concerning the adverse impacts of SHS exposure on nine health outcomes. Following, we quantified each exposure-response association accounting for various sources of uncertainty and evaluated the strength of the evidence supporting our analyses using the Burden of Proof Risk Function methodology. We found all nine health outcomes to be associated with SHS exposure. We conservatively estimated that SHS increases the risk of ischemic heart disease, stroke, type 2 diabetes and lung cancer by at least around 8%, 5%, 1% and 1%, respectively, with the evidence supporting these harmful associations rated as weak (two stars). The evidence supporting the harmful associations between SHS and otitis media, asthma, lower respiratory infections, breast cancer and chronic obstructive pulmonary disease was weaker (one star). Despite the weak underlying evidence for these associations, our results reinforce the harmful effects of SHS on health and the need to prioritize advancing efforts to reduce active and passive smoking through a combination of public health policies and education initiatives.

Effect of passive smoking exposure on risk of type 2 diabetes: a systematic review and meta-analysis of prospective cohort studies

Objective

The effect of passive smoking exposure on the risk of type 2 diabetes has not been systematically studied. A meta-analysis was conducted to assess the association between passive smoking exposure and the risk of diabetes.

Methods

We searched three major databases up to 31 October 2022 to identify relevant prospective cohort studies on the association between passive smoking and the risk of type 2 diabetes. The pooled relative risk (RR) and 95% confidence interval (CI) for the association between passive smoking exposure and the risk of type 2 diabetes were analyzed using a fixed-effect model.

Results

Ten prospective cohort studies were included in this meta-analysis, with a total of 251,620 participants involved. The pooled RR showed a significantly positive association between nonsmokers exposed to passive smoking and type 2 diabetes as compared to non-smokers who were not exposed to passive smoking [RR = 1.27; 95% CI (1.19, 1.36); p < 0.001]. Sensitivity analysis indicated that the pooled RR was not substantially affected by any of the individual studies.

Conclusion

Exposure to passive smoking increases the risk of type 2 diabetes. This study may have a positive effect on the prevention of type 2 diabetes.

Systematic review registration

https://www.crd.york.ac.uk/PROSPERO/, identifier CRD42023372532.

[Diabetes mellitus: definition, classification, diagnosis, screening and prevention (Update 2023)]

Diabetes mellitus comprises of a group of heterogeneous disorders, which have an increase in blood glucose concentrations in common. The current classification for diabetes mellitus is presented and the main features of type 1 and type 2 diabetes are compared. Furthermore, the criteria for the correct biochemical diagnosis during fasting and oral glucose tolerance tests as well as the use of hemoglobin A1c (HbA1c) are summarized. The increasing prevalence of diabetes requires targeted screening for detecting diabetes and prediabetes in risk groups. This forms the basis for the early initiation of measures to prevent the onset of diabetes in these risk groups and to delay the progression of diabetes.

[Smoking, heated tobacco products, alcohol and diabetes mellitus (update 2023)]

Smoking and second-hand smoke strongly increase incidence of diabetes and probability for its complications. Smoking cessation can lead to weight gain and increased diabetes risk; however, it decreases cardiovascular and total mortality. A basal diagnostics (Fagerström Test, exhaled CO) is the basis for successful smoking cessation. Supporting medication include Varenicline, Nicotine Replacement Therapy and Bupropion. Socio-economic as well as psychological factors play an important role for smoking and smoking cessation. Heated tobacco products (like the E‑cigarette) are no healthy alternative to cigarettes and are associated with increased morbidity and mortality.Moderate consumption of alcohol possibly decreases risk for diabetes and cardiovascular diseases. Selection bias and underreporting in studies maybe contribute to a too optimistic view. On the other hand, alcohol increases in a dose dependant fashion excess morbidity and disability adjusted life years, especially by cancer, liver diseases and infections.

Association of environmental tobacco smoke exposure with metabolic syndrome: A longitudinal Cohort Study of 71,055 never smokers

BACKGROUND AND AIMS

Effects of environmental tobacco smoke (ETS) exposure and a change in ETS exposure status on metabolic syndrome (MetS) remain unknown. Thus, the aim of this study was to evaluate the effect of ETS exposure on MetS in self-reported and cotinine-validated never smokers.

METHODS AND RESULTS

From a large longitudinal cohort study, 71,055 cotinine-validated never smokers without MetS at baseline were included. These participants were divided into four groups (no, new, former, and continuous ETS exposure groups) based on their ETS exposure status at baseline and follow-up. The association between ETS exposure and MetS was assessed using multivariable Cox hazard regression analyses. During a median follow-up of 33 months, 15.0 cases/10,000 person-years (PY) developed MetS. Incidence rates per 10,000 PY of MetS in no, new, former, and continuous ETS exposure groups were 14.0, 18.5, 16.5, and 19.0, respectively. In multivariable Cox hazard regression analyses, the new and continuous ETS exposure groups showed increased risk of MetS compared to the no ETS exposure group (hazard ratio [95% confidence interval]: 1.35 [1.16, 1.56], p-value < 0.001 for the new ETS exposure group and 1.19 [1.06, 1.34], p-value = 0.004 for the continuous ETS exposure group). However, the former ETS exposure group did not show an increased risk of MetS (0.96 [0.88, 1.05], p-value = 0.36).

CONCLUSION

This study showed that ETS exposure and changes in ETS exposure status over approximately three years could modify the risk of MetS, suggesting that avoidance of ETS may not increase the risk of incidence of MetS.

Association between obesity and mortality in the Costa Rican elderly: a cohort study

BACKGROUND

Costa Rica, along with other Latin American countries, is undergoing population aging, with an increase in the prevalence of chronic conditions, many of them resulting from a growing prevalence of obesity. As a result of the demographic and epidemiological transitions, the causes of morbidity and mortality have changed from communicable to non-communicable diseases. An increase in overweight and obesity is hypothesized to be related to premature mortality. This study assesses the association between obesity and both all-cause and cardiovascular mortality in a Costa Rican elderly population.

METHODS

This is a secondary data analysis of the Costa Rican Longevity and Healthy Aging Study (CRELES, for its Spanish acronym), a longitudinal nationally representative cohort study of health and life-course experiences of the Costa Rican elderly. A baseline (n = 2827) and two subsequent 2-year follow-up interviews were conducted. Data analyses include descriptive statistics and survival models. Cox and Gompertz distributions were used to model general mortality and cardiovascular mortality as a function of obesity and controlling for confounders. Anthropometric measures used were Body Mass Index (BMI) and Waist Circumference (WC).

RESULTS

Each one-unit increment in BMI was significantly associated to a 3,1% (p < 0.001) and 2,6% (p = 0.021) increment in general and cardiovascular mortality respectively. Each one-unit increment in WC was significantly associated with a 0,8% (p = 0.006) increment in general mortality, whereas WC was not significantly associated with cardiovascular mortality.

CONCLUSIONS

Obesity is associated with mortality in the Costa Rican elderly. This association is strongest between obesity and all-cause mortality. As general obesity increases, all-cause and cardiovascular mortality also increase in this population. Similarly, as central obesity increases, all-cause mortality increases. Policies aimed at preventing obesity and chronic conditions are warranted for a better survival in this population.

Aortic Valve Calcification Score in Patients with Arterial Hypertension Environmentally Exposed to Tobacco Smoke

The objective of our study was to determine the relationship between exposure to environmental tobacco smoke (ETS) and the value of the aortic valve calcification score (AVCS) in people suffering from arterial hypertension (AH). 107 non-smokers with AH (mean age 67.16 ± 8.48 years) were qualified for the study. The degree of exposure to ETS was assessed using the Second-hand Smoke Exposure Scale (SHSES) questionnaire. Study group was divided depending on ETS exposure: A—no exposure, B—low, C—medium and D—high. AVCS was measured based on the aortic valve plane multiplanar reconstruction from the non-contrast phase of the cardiac computed tomography. The Agatston algorithm was used, in which calcifications were considered changes with a density exceeding 130 HU. The mean AVCS value in the study group of patients was 213.59 ± 304.86. The AVCS was significantly lower in subgroup A than in subgroups C and D. In subgroup A, the lack of aortic valve calcification (AVCS = 0) was observed significantly more frequently than in subgroups C and D. There was a positive correlation between the number of SHSES points and the AVCS value (r = 0.37, p < 0.05). Based on the ROC curve, the SHSES value was determined as the optimal cut-off point for the prediction of AVCS = 0, amounting to 3 points. The accuracy of SHSES < 3 as the predictor of AVCS = 0 was set at 62.18%. Hypertensive patients have an unfavourable relationship between the amount of exposure to ETS, determined on the SHSES scale, and the AVCS value.

Association of risk factors with type 2 diabetes: A systematic review

Diabetes is the leading cause of severe health complications and one of the top 10 causes of death worldwide. To date, diabetes has no cure, and therefore, it is necessary to take precautionary measures to avoid its occurrence. The main aim of this systematic review is to identify the majority of the risk factors for the incidence/prevalence of type 2 diabetes mellitus on one hand, and to give a critical analysis of the cohort/cross-sectional studies which examine the impact of the association of risk factors on diabetes. Consequently, we provide insights on risk factors whose interactions are major players in developing diabetes. We conclude with recommendations to allied health professionals, individuals and government institutions to support better diagnosis and prognosis of the disease.

Association between secondhand smoke exposure and diabetes mellitus in 131 724 Korean never smokers using self-reported questionnaires and cotinine levels: Gender differences

OBJECTIVE

The aim of this study is to compare the gender-different associations between secondhand smoke (SHS) exposure and diabetes in self-reported never smokers verified by cotinine.

METHODS

Self-reported never smokers verified by cotinine levels (<50 ng/mL) enrolled in the Kangbuk Samsung Health Study between April 2011 and December 2016 were included for this study. SHS exposure was defined as current exposure to passive smoke indoors at home or workplace. The gender-specific association between SHS exposure and diabetes was assessed using multivariable regression analyses.

RESULTS

Of the total 131 724 individuals (mean age 35 years, SD 7.1 years), 66.8% were female, and the prevalence of SHS exposure in the entire population was 22.9%. The prevalence of diabetes in the group exposed to SHS was higher than that in the group unexposed to SHS only in females (1.8% vs 1.2%, P < .001 for females; 2.2% vs 2.2%, P = .956 for males). A significant gender interaction existed for the relationships between SHS exposure and diabetes (P for interaction <.001). The multivariate regression model showed that SHS exposure was significantly associated with diabetes only in females (odds ratio [95% CI], 1.40 [1.20, 1.65] for females; 1.00 [0.85, 1.19] for males). In particular, females with SHS exposure ≥1 hour/day, ≥3 times/week, and ≥10 years showed an increased risk of diabetes by more than 50% compared to those without SHS exposure.

CONCLUSIONS

SHS exposure was significantly associated with diabetes in female never smokers with dose-dependent relationship. However, further longitudinal studies are needed to elucidate the gender difference in the incidence of diabetes associated with SHS exposure.

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.

Association between Cigarette Smoking and New-Onset Diabetes Mellitus in 78,212 Koreans Using Self-Reported Questionnaire and Urine Cotinine

BACKGROUND

No study has assessed association between cigarette smoking and new-onset diabetes mellitus (NODM) incidence using two different smoking classification systems: self-reported questionnaire and urine cotinine. The objective of this longitudinal study was to evaluate NODM risk using the above two systems in Korean adults.

METHODS

Among individuals enrolled in Kangbuk Samsung Health Study and Cohort Study who visited between 2011 and 2012 at baseline and 2014 at follow-up, 78,212 participants without baseline diabetes mellitus were followed up for a median of 27 months. Assessment of NODM incidence was made at the end of follow-up period. Cotinine-verified current smoking was having urinary cotinine ≥50 ng/mL.

RESULTS

Percentages of self-reported and cotinine-verified current smokers were 25.9% and 23.5%, respectively. Overall incidence of NODM was 1.5%. According to multivariate regression analyses, baseline self-reported current smoking (relative risk [RR], 1.33; 95% confidence interval [CI], 1.07 to 1.65) and cotinine-verified current smoking (RR, 1.27; 95% CI, 1.08 to 1.49) increased NODM risk compared to baseline self-reported never smoking and cotinine-verified current non-smoking. Higher daily amount and longer duration of smoking were also associated with increased NODM risk (P for trends <0.05). In particular, self-reported current smokers who smoked ≥20 cigarettes/day (RR, 1.62; 95% CI, 1.25 to 2.15) and ≥10 years (RR, 1.34; 95% CI, 1.08 to 1.67) had the highest RRs for NODM. These results remained significant in males, although there was no gender interaction.

CONCLUSION

This longitudinal study showed that baseline self-reported and cotinine-verified current smoking were associated with increased risks of NODM, especially in males.

The association of husbands' smoking with wives' dysglycemia status: A cross-sectional study among over 10 million Chinese women aged 20-49

BACKGROUND

We comprehensively evaluated the association between husbands' smoking amount and wives' dysglycemia status.

METHODS

We conducted a cross-sectional study which recruited 12 023 714 reproductive couples who participated in the National Free Pre-Pregnancy Checkups Project (NFPCP) between 2015 and 2016 in China. Multivariable logistic models were used to estimate odds ratio (OR) and 95% CI. Subgroup analysis and stratified analysis were further performed to investigate potential effect modification.

RESULTS

Compared to the neither-smoker group, the multivariable-adjusted ORs for diabetes mellitus (DM) among women was 1.09 (95% CI, 1.07-1.10), 1.04 (95% CI, 0.87-1.23), and 1.28 (95% CI, 1.17-1.41) in the husband-smoker, wife-smoker, and both-smokers groups, respectively. An increased risk of DM was also observed for women whose husbands smoke 1 to 10 (OR, 1.06; 95% CI, 1.04-1.07), 11 to 20 (OR, 1.13; 95% CI, 1.11-1.15), and over 20 cigarettes per day (OR, 1.25; 95% CI, 1.17-1.31). The prevalence of wives' DM showed significant linear trends with husbands' smoking amount (P_{for trend}  < .001). A similar growth tendency was also observed between husband smoking amount and impaired fasting glucose (IFG) prevalence with ORs of 1.04 (95% CI, 1.04-1.05), 1.05 (95% CI, 1.04-1.06), and 1.09 (95% CI, 1.06-1.11) for 1-10, 11-20, and over 20 cigarettes per day, respectively. The relationship between husbands' smoking amount and wives' IFG/DM prevalence appear to be modified by body mass index (BMI).

CONCLUSIONS

This study shows significant relationships between husbands' smoking and wives' risk of IFG/DM, and this result exists in both a categorical and dose-response manner. This association is modified by BMI. Family-oriented smoking interventions may both reduce husbands' active smoking and wives' risk of DM.

PUFAs, BDNF and lipoxin A4 inhibit chemical-induced cytotoxicity of RIN5F cells in vitro and streptozotocin-induced type 2 diabetes mellitus in vivo

Objective

To study whether minimal doses of arachidonic acid (AA), eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA) and lipoxin A4 (LXA4) and brain-derived neurotrophic factor (BDNF), when used in combination can protect RIN5F cells from chemical-induced cytotoxicity. As a corollary, to know whether plasma BDNF and LXA4 are altered in STZ-induced type 2 DM animals.

Materials and methods

RIN5F cells, alloxan (AL), streptozotocin (STZ), doxorubicin (DB), and benzo(a)pyrene (BP) were used in this study. Chemical-induced apoptosis and changes in antioxidants, lipid peroxides and nitric oxide (NO) and LXA4 and BDNF levels in RIN5F cells were studied. Alterations in plasma concentrations of BDNF and LXA4 in STZ-induced type 2 diabetes animals was estimated.

Results

BDNF, LXA4 and AA, EPA and DHA protected (P < 0.001 and P < 0.01 respectively) against AL/STZ/DB/BP-induced toxicity to RIN5F cells in vitro. AL/ STZ/DB/BP inhibited BDNF and LXA4 production by RIN5F cells and were restored to normal by AA, EPA and DHA. Sub-optimal doses of BDNF, LXA4, AA and EPA when used in combination protected against cytotoxic action of AL/STZ/DB/BP on RIN5F cells in vitro by restoring LXA4/BDNF levels and altered antioxidant/lipid peroxides/NO levels (P < 0.01) to normal. STZ (65 mg/kg)-induced type 2 diabetes mellitus animals showed reduced plasma BDNF and LXA4 levels (P < 0.001).

Discussion

AL/STZ/DB/BP-induced cytotoxicity to RIN5F cells in vitro can be prevented by BDNF, LXA4 and AA. AL/STZ/DB/BP are cytotoxic, possibly, by suppressing the production of LXA4 and BDNF in RIN5F cells. STZ-induced type 2 DM animals have decreased plasma levels of LXA4 and BDNF.

Conclusion

The results of the present study suggest that BDNF, LXA4, EPA, DHA, AA, GLA and BDNF protect pancreatic β cells from the cytotoxic action of various chemicals and prevent development of diabetes mellitus. LXA4 seems to be the mediator of these cytoprotective actions of BDNF and PUFAs suggesting a close interaction exists among these molecules (BDNF, PUFAs and LXA4). Hence, methods developed to deliver a combination of PUFAs (especially AA), LXA4 and BDNF may prevent development of diabetes mellitus (both type 1 and type 2).

Diabetes epidemics: inequalities increase the burden on the healthcare system

Diabetes is a major cause of morbidity and mortality and represents a source of demands on already constrained healthcare systems in Latin America and the Caribbean. We estimate inequalities in diabetes incidence, prevalence and mortality and assess the economic burden on the healthcare system in Costa Rica. The main source of data is the Costa Rican Longevity and Healthy Aging Study, a longitudinal nationally representative survey of the elderly population (n = 2827). Data analyses include descriptive statistics, multiple regression models and survival analysis models. More than a fifth of Costa Rican elderly experience diabetes. Incidence is estimated at 5 per 1000 person-years in the population 30+. Gender and geographical inequalities were found. Men have a significantly lower prevalence (16.51% vs 24.02%, P < 0.05) and incidence (4.3 vs 6.0 per 1000 person-years, P < 0.05), but higher mortality (hazard ratio = 1.31, P < 0.01). Longer time to the closest facility translates into a lower probability of having the condition diagnosed [odds ratio (OR) = 0.77, P < 0.05]. The diabetic as compared to the non-diabetic population imposes a larger economic burden on the healthcare system with a higher probability of using outpatient care (OR = 3.08, P < 0.01), medications (OR = 3.44, P < 0.01) and hospitalizations (OR = 1.24, P > 0.05). Individuals living in the Metro Area have a significantly lower probability of being hospitalized (OR = 0.72, P < 0.05), which may be evidence of better access to primary care that prevents hospitalization. Along the same line, women have higher utilization rates of outpatient care (OR = 2.02, P < 0.01) and medications (OR = 1.73, P < 0.01), which may contribute to lower odds of hospitalization (OR = 0.61, P < 0.01). Aligned with the aim of attaining Sustainable Development Goals, this study highlights the importance of generating health policies focused on prevention of diabetes that take into consideration gender and geographical inequalities. Strategies should booster preventive healthcare utilization by men and aim to make healthcare services accessible to all, regardless of geographical location.

[Smoking, alcohol and diabetes (Update 2019)]

Smoking and second-hand smoke strongly increase incidence of diabetes and probability for its complications. Smoking cessation can lead to weight gain and increased diabetes risk; however, it decreases cardiovascular and total mortality. A basal diagnostics (Fagerström Test, exhaled CO) is the basis for successful smoking cessation. Supporting medication include Varenicline, Nicotine Replacement Therapy and Bupropion. Socio-economic as well as psychological factors play an important role for smoking and smoking cessation.Moderate consumption of alcohol possibly decreases risk for diabetes and cardiovascular diseases. Selection bias and underreporting in studies maybe contribute to a too optimistic view. On the other hand, alcohol increases in a dose dependant fashion excess morbidity and disability adjusted life years, especially by cancer, liver diseases and infections.

[Diabetes mellitus-Definition, classification, diagnosis, screening and prevention (Update 2019)]

Diabetes mellitus comprises a group of heterogeneous disorders, which have an increase in blood glucose concentrations in common. The current classification for diabetes mellitus is presented and the main features of type 1 and type 2 diabetes are compared. Furthermore, the criteria for the correct biochemical diagnosis during fasting and oral glucose tolerance tests as well as the use of hemoglobin A1c (HbA1c) are summarized. The increasing prevalence of diabetes requires targeted screening for detecting diabetes and prediabetes in risk groups. This forms the basis for the early initiation of measures to prevent the onset of diabetes in these risk groups and to delay the progression of diabetes.

Health risks and interventions in prediabetes: A review

Prediabetes is a condition which appears prior to the development of diabetes in which blood glucose is abnormally high but do not reach the diagnostic threshold of type 2 diabetes mellitus. It is characterized by a cluster of metabolic abnormalities viz. dysglycemia, dyslipidemia, hypertension, physical inactivity, obesity, insulin resistance, procoagulant state, endothelial dysfunction, oxidative stress and inflammation, placing prediabetic subjects to an increased risk for diabetes and its complications. Recent studies demonstrate that complications of diabetes i.e. microvascular and macrovascular complications may manifest in some prediabetic subjects. This article reviews prediabetes-related risk factors and health issues. In addition, this article also highlights the interventions to prevent the development of diabetes in prediabetic subjects.

Age Differences in the Relationship between Secondhand Smoke Exposure and Risk of Metabolic Syndrome: A Meta-Analysis

Secondhand smoke (SHS), a common environmental exposure factor, has become a serious public health problem. Metabolic syndrome is another worldwide clinical challenge. Our study tried to determine the age differences in the relationship between SHS and the risk of metabolic syndrome. Studies were searched in PubMed and Web of Science from 11 November to 30 November 2018. Eighteen studies were finally included based on inclusion and exclusion criteria. The relationship between SHS and the risk indicators of metabolic syndrome was analyzed. The weighted mean difference (WMD) of fasting plasma glucose (FPG), insulin, body mass index (BMI), and waist circumference (WC), and the standard mean difference (SMD) of total cholesterol, triglycerides, and low- and high-density lipoprotein-cholesterol (LDL-C, HDL-C) were calculated in a meta-analysis. SHS was positively associated with the level of insulin and WC. According to the subgroup analysis based on age difference, SHS was positively associated with FPG in the upper age group, and positively associated with LDL-C and negatively associated with HDL-C in the lower age group. BMI showed a more obvious positive correlation in the adults group than in the children and the teenagers group. In conclusion, the association of metabolic syndrome with SHS varies with age. When exposed to SHS, older people may be more susceptible to glucose metabolic disorder, but younger people may be more susceptible to lipid metabolic disorder.

Secondhand smoke, obesity, and risk of type II diabetes among California teachers

PURPOSE

To examine if secondhand smoke (SHS) is associated with elevated risk of type II diabetes among California teachers. We also aim to determine if overall and central obesity are mediators or effect modifiers of this association.

METHODS

Using data from the California Teachers Study, conducted in 1995-2013 in California public schools, we obtained information on SHS exposure among 39,887 lifetime nonsmokers. The association between SHS and incident diabetes after 17 years of follow-up was assessed using Cox regression models. The mediation and modification effects of BMI and waist circumference on this association were tested.

RESULTS

At baseline, 70.2% of the nonsmokers reported exposure to SHS. Higher intensity, duration, and intensity-years of exposure to SHS were associated with higher multivariate adjusted risk of incident diabetes in a dose-response manner (hazard ratio = 1.28; 95% confidence interval, 1.11-1.48 for highest quartile vs. lowest quartile of exposure; P = .001 for trend). Participant's waist circumference (measured 2 years after baseline) could explain greater than 50% of the association between SHS and diabetes.

CONCLUSIONS

SHS exposure is associated with increased risk of type II diabetes among nonsmokers of California teachers with obesity being a potentially important mediator but not an effect modifier for this association.

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.

Metabolic, inflammatory, and oxidative stress markers in women exposed to secondhand smoke

Background

Secondhand smoke (SHS) exposure has adverse effects on the cardiovascular system. This study aimed to determine the effects of SHS on the cardiovascular disease biomarkers, namely the metabolic, inflammatory, and oxidative stress markers in healthy adult women.

Methods

This comparative cross-sectional study was conducted among healthy women. The cases included those women exposed to SHS, and the controls included those women not exposed to SHS. SHS exposure was defined as being exposed to SHS for at least 15 min for 2 days per week. Venous blood was taken to measure the metabolic markers (high molecular weight adiponectin, insulin level, insulin resistance, and nonesterified fatty acids), oxidative stress markers (oxidized low density lipoprotein cholesterol and 8-isoprostane), and inflammatory markers (high-sensitivity C-reactive protein and interleukin-6). A hair nicotine analysis was also performed. An analysis of covariance and a simple linear regression analysis were conducted.

Results

There were 101 women in the SHS exposure group and 91 women in the non-SHS exposure group. The mean (with standard deviation) of the hair nicotine levels was significantly higher in the SHS exposure group when compared to the non-SHS exposure group [0.22 (0.62) vs. 0.04 (0.11) ng/mg; P = 0.009]. No significant differences were observed in the high molecular weight adiponectin, insulin and insulin resistance, nonesterified fatty acids, 8-isoprostane, oxidized low density lipoprotein cholesterol, interleukin-6, and high-sensitivity C-reactive protein between the two groups. The serum high molecular weight adiponectin was negatively associated with the insulin level and insulin resistance in the women exposed to SHS. However, no significant relationships were seen between the high molecular weight adiponectin and nonesterified fatty acids, 8-isoprostane, oxidized low density lipoprotein cholesterol, high-sensitivity C-reactive protein in the SHS group.

Discussion

There were no significant differences in the metabolic, oxidative stress, and inflammatory markers between the SHS exposure and non-SHS exposure healthy women. A low serum level of high molecular weight adiponectin was associated with an increased insulin level and resistance in the women exposed to SHS.

The 2016 global and national burden of diabetes mellitus attributable to PM2·5 air pollution

BACKGROUND

PM_2·5 air pollution is associated with increased risk of diabetes; however, a knowledge gap exists to further define and quantify the burden of diabetes attributable to PM_2·5 air pollution. Therefore, we aimed to define the relationship between PM_2·5 and diabetes. We also aimed to characterise an integrated exposure response function and to provide a quantitative estimate of the global and national burden of diabetes attributable to PM_2·5.

METHODS

We did a longitudinal cohort study of the association of PM_2·5 with diabetes. We built a cohort of US veterans with no previous history of diabetes from various databases. Participants were followed up for a median of 8·5 years, we and used survival models to examine the association between PM_2·5 and the risk of diabetes. All models were adjusted for sociodemographic and health characteristics. We tested a positive outcome control (ie, risk of all-cause mortality), negative exposure control (ie, ambient air sodium concentrations), and a negative outcome control (ie, risk of lower limb fracture). Data for the models were reported as hazard ratios (HRs) and 95% CIs. Additionally, we reviewed studies of PM_2·5 and the risk of diabetes, and used the estimates to build a non-linear integrated exposure response function to characterise the relationship across all concentrations of PM_2·5 exposure. We included studies into the building of the integrated exposure response function if they scored at least a four on the Newcastle-Ottawa Quality Assessment Scale and were only included if the outcome was type 2 diabetes or all types of diabetes. Finally, we used the Global Burden of Disease study data and methodologies to estimate the attributable burden of disease (ABD) and disability-adjusted life-years (DALYs) of diabetes attributable to PM_2·5 air pollution globally and in 194 countries and territories.

FINDINGS

We examined the relationship of PM_2·5 and the risk of incident diabetes in a longitudinal cohort of 1 729 108 participants followed up for a median of 8·5 years (IQR 8·1-8·8). In adjusted models, a 10 μg/m³ increase in PM_2·5 was associated with increased risk of diabetes (HR 1·15, 95% CI 1·08-1·22). PM_2·5 was associated with increased risk of death as the positive outcome control (HR 1·08, 95% CI 1·03-1·13), but not with lower limb fracture as the negative outcome control (1·00, 0·91-1·09). An IQR increase (0·045 μg/m³) in ambient air sodium concentration as the negative exposure control exhibited no significant association with the risk of diabetes (HR 1·00, 95% CI 0·99-1·00). An integrated exposure response function showed that the risk of diabetes increased substantially above 2·4 μg/m³, and then exhibited a more moderate increase at concentrations above 10 μg/m³. Globally, ambient PM_2·5 contributed to about 3·2 million (95% uncertainty interval [UI] 2·2-3·8) incident cases of diabetes, about 8·2 million (95% UI 5·8-11·0) DALYs caused by diabetes, and 206 105 (95% UI 153 408-259 119) deaths from diabetes attributable to PM_2·5 exposure. The burden varied substantially among geographies and was more heavily skewed towards low-income and lower-to-middle-income countries.

INTERPRETATION

The global toll of diabetes attributable to PM_2·5 air pollution is significant. Reduction in exposure will yield substantial health benefits.

FUNDING

US Department of Veterans Affairs.

A new prognostic score can predict survival after hepatocellular carcinoma treatment in a cohort of 1302 Egyptian hepatocellular carcinoma patients

INTRODUCTION

Survival of hepatocellular carcinoma (HCC) differs between regions and countries according to the different underlying factors and the degree of standard of care that enables early diagnosis and management. Our aim was to identify the most potent predictive factors of survival in Egyptian HCC patients receiving curative or palliative treatments.

PATIENTS AND METHODS

This retrospective study included 1302 HCC patients attending the HCC multidisciplinary clinic, Cairo University, between February 2009 and December 2016. Clinical, laboratory, tumor characteristics, and treatment data were collected. Prognostic scores for each of the treatment categories, curative or palliative, were developed using routine laboratory tests.

RESULTS

Patients were predominantly men, mean age 57.79±7.56 years. All cases developed HCC in addition to cirrhosis, mainly hepatitis C virus-related (88.2%). Most of the patients were Child-Pugh A (56.8%) or B (34.4%) and had single lesions. Transarterial chemoembolization was the most common line of treatment (42.08%). The overall median survival was 18.3 months from the date of diagnosis. Cigarette smoking, Child-Pugh score, performance status, number and size of the focal lesion, α-fetoprotein, and application of a specific treatment, particularly curative treatment, were the significant independent prognostic factors for survival. We found no impact of diabetes mellitus or hypertension on survival. Multidisciplinary HCC clinic predictive scores of survival after palliative and curative treatments were developed including independent prognostic factors, age, and portal vein status.

CONCLUSION

A new Egyptian prognostic score of tumor and patients factors can predict the survival of patients with HCC after palliative and curative treatments.

Diabetes-related behaviours among elderly people with pre-diabetes in rural communities of Hunan, China: a cross-sectional study

OBJECTIVE

To explore diabetes-related behaviours and their influencing factors among elderly individuals with pre-diabetes in rural areas of China.

DESIGN, SETTING AND PARTICIPANTS

A cross-sectional survey was conducted among elderly individuals (≥60 years) in rural communities in Yiyang City of China. Multistaged cluster random sampling was carried out to select 42 areas, and interviews were conducted among 434 elderly individuals with pre-diabetes (fasting plasma glucose 6.1-7.0 mmol/L and/or 2-hour post-glucose load of 7.8-11.1 mmol/L) using questionnaires on diabetes-related behaviours. The diabetes-related behaviours included eight categories: average daily sedentary time; frequency of physical activities per week; regular or irregular diet; whether paying attention to diet control or not; daily dietary preferences; frequency of physical examinations per year; current smoking status; and current consumption of alcohol. Each of the risky behaviours was scored -1 and each of the healthy behaviours was scored +1. Each individual's score of diabetes-related behaviours was the sum of the score for all behaviours.

MAIN OUTCOME MEASURES

Participants were asked about general information (age, gender, marital status, history of hyperglycaemia, family history of diabetes mellitus, presence of other diseases, body mass index, waist-to-hip ratio and education) and their diabetes-related behaviours. Multivariate linear regression analysis was performed to identify the risk factors for diabetes-related behaviour among elderly individuals with pre-diabetes.

RESULTS

The average score of diabetes-related behaviours of elderly individuals with pre-diabetes in rural China was 2.7. The prevalences of risky diabetes-related behaviours were as follows: <1 physical examination per year (57.6%), insufficient physical activities (55.3%), lack of attention paid to diet control (51.4%), high-salt and high-fat diets (41.0%), sedentary lifestyle (35.9%), smoking (22.8%), regular alcohol uptake (15.0%) and irregular diet (3.9%). Gender and a history of hyperglycaemia were found to be influencing factors of the diabetes-related behaviour score.

CONCLUSIONS

The prevalence of risky diabetes-related behaviours was high among pre-diabetic elderly individuals in rural China. More effort should be made to promote the prevention and control of diabetes in rural China. Future studies should be undertaken on diabetes prevention strategies tailored specially for this population.

TRIAL REGISTRATION NUMBER

ChiCTR-IOR-15007033; Results.

Lifestyle precision medicine: the next generation in type 2 diabetes prevention?

The driving force behind the current global type 2 diabetes epidemic is insulin resistance in overweight and obese individuals. Dietary factors, physical inactivity, and sedentary behaviors are the major modifiable risk factors for obesity. Nevertheless, many overweight/obese people do not develop diabetes and lifestyle interventions focused on weight loss and diabetes prevention are often ineffective. Traditionally, chronically elevated blood glucose concentrations have been the hallmark of diabetes; however, many individuals will either remain 'prediabetic' or regress to normoglycemia. Thus, there is a growing need for innovative strategies to tackle diabetes at scale. The emergence of biomarker technologies has allowed more targeted therapeutic strategies for diabetes prevention (precision medicine), though largely confined to pharmacotherapy. Unlike most drugs, lifestyle interventions often have systemic health-enhancing effects. Thus, the pursuance of lifestyle precision medicine in diabetes seems rational. Herein, we review the literature on lifestyle interventions and diabetes prevention, describing the biological systems that can be characterized at scale in human populations, linking them to lifestyle in diabetes, and consider some of the challenges impeding the clinical translation of lifestyle precision medicine.

Work-related psychosocial stress and the risk of type 2 diabetes in later life

OBJECTIVES

Although work-related psychosocial stress and type 2 diabetes mellitus (T2DM) have been investigated, the association between lifelong work stress and T2DM in later life remains unclear. This study examined whether high work stress increased the risk of T2DM risk in later life, accounting also for other sources of stress outside work, such as burden from household chores.

METHODS

From the population-based prospective study SNAC-K, 2719 diabetes-free participants aged ≥60 years were identified and followed up for 6 years. T2DM was ascertained by glycated haemoglobin level, self-report, hypoglycaemic medication use and clinical records. Levels of job control and demands over the whole working life were assessed by a validated matrix. Household chores load was assessed by hours spent on such chores. Multivariate logistic regression models were used to estimate the association between job strain and T2DM.

RESULTS

During the 6-year follow-up, 154 incident cases of T2DM were identified. High job strain was associated with T2DM occurrence amongst the 60-year-old cohort (OR = 3.14, 95% CI: 1.27-7.77), and only amongst women (OR = 6.18, 95% CI: 1.22-31.26), but not in men. When taking into account household chores load, a more pronounced risk of T2DM was associated with high job strain in combination with heavy household chores load in women aged 60 years at baseline (OR = 9.45, 95% CI: 1.17-76.53).

CONCLUSION

Work-related psychosocial stress may increase the risk of T2DM only amongst women in their early 60s. The risk can be amplified by high household chores load.

Association between secondhand smoke and glycemic control in adult diabetes patients

Diabetes is a major chronic disease, and many studies have shown an association between diabetes with severe complications and certain causes of diabetes, including secondhand smoke. Smoking has been considered a significant issue around the world, and research has been conducted on its relationship with diseases including diabetes. However, previous studies have focused on the onset of diabetes, rather than glycemic control in patients with diabetes. Thus, this study aims to provide evidence of a relationship between secondhand smoke and glycemic control. We conducted a cross-sectional study using data from the Korea National Health and Nutrition Examination Survey (2007-2014). We included 1168 male and 1248 female survey participants. Exposure to secondhand smoke at home and/or at workplaces was considered the primary independent variable, and glycemic control was represented by HbA1c levels. Chi-squared tests and logistic regression analysis were performed to evaluate the association. A significant association was found between secondhand smoke and glycemic control (male at home, odds ratio [OR]: 0.36, 95% confidence interval [CI]: 0.14-0.90; female at both locations, OR: 0.29, 95% CI: 0.11-0.74). The sub-group analysis showed a negative association of diabetes management with secondhand smoke in both sexes, regardless of income status or healthy/unhealthy behaviors. Exposure to secondhand smoke at home was revealed as a risk factor for poor glycemic control. Thus, healthcare providers should help diabetes patients to avoid secondhand smoke by educating them on the dangers of secondhand smoke.

Association between secondhand smoke and obesity and glucose abnormalities: data from the National Health and Nutrition Examination Survey (NHANES 1999-2010)

OBJECTIVE

The objective of this study is to investigate the relationship between cotinine level-confirmed secondhand smoke (SHS) exposure and glycemic parameters and obesity.

RESEARCH DESIGN AND METHODS

We examined a cohort of 6472 adults from the National Health and Nutrition Examination Surveys, 1999-2010. Serum cotinine levels and self-reported data on smoking were used to determine smoking status. The outcome variables were body mass index (BMI) and glycemic status (HbA1c), Homeostasis Model Assessment of Insulin Resistance (HOMA-IR), and fasting plasma glucose (FPG). Descriptive, bivariate, and multivariate analyses were conducted.

RESULTS

Using cotinine level-confirmed smoking status, 1794 (27.4%) of the sample were current smokers, 1681 (25.0%) were former smokers, 1158 (17.8%) were secondhand smokers, and 1839 (29.8%) were non-smokers. In a generalized linear model after controlling for potential confounding variables, secondhand smokers had higher adjusted levels of HOMA-IR, FPG, and BMI compared with non-smokers (p<0.05). Adjustment for BMI demonstrated that some, but not all, of the detrimental effects of SHS on glycemic parameters are mediated by the increased body weight of secondhand smokers.

CONCLUSIONS

We conclude that SHS is associated with obesity and worsening glycemic parameters. More studies are needed to show a causal relationship between SHS and glycemic parameters and to understand the mechanisms involved in the association.

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.

BDNF protects pancreatic β cells (RIN5F) against cytotoxic action of alloxan, streptozotocin, doxorubicin and benzo(a)pyrene in vitro

OBJECTIVE

The study was conducted to observe whether brain-derived neurotrophic factor (BDNF) has cytoprotective actions against alloxan (AL), streptozotocin (STZ), doxorubicin (DB) and benzo(a)pyrene (BP) compounds in vitro that may account for its beneficial action in diabetes mellitus.

MATERIALS AND METHODS

This in vitro study was performed using rat insulinoma (RIN5F) cells. Possible cytoprotective action of BDNF (using pre-treatment, simultaneous and post-treatment schedules of RIN5F cells with BDNF) against the four chemicals tested was evaluated using MTT and apoptosis assays. Possible mechanism of cytoprotective action of BDNF was assessed by measuring BCl2/IKB-β/Pdx mRNA transcripts and anti-oxidant levels in RIN5F cells. Effect of alloxan, STZ, doxorubicin and BP on the production of BDNF by RIN5F cells was also studied.

RESULTS

Results of the present study revealed that BDNF in the doses (100ng>50ng>10ng/ml) has significant cytoprotection (P<0.001, P<0.01) on cytotoxic action of AL, STZ, DB and BP against rat insulinoma RIN5F (5×10(4) cells/100μl) cells in vitro. It was observed that AL, STZ, DB and BP inhibited BDNF production significantly (P<0.001) in a dose-dependent manner by RIN5F cells (0.5×10(6) cells/500μl) in vitro, while BDNF not only prevented apoptosis induced by these four chemicals but also significantly increased (P<0.001) BCl2/IKB-β/Pdx mRNA transcripts and restored anti-oxidant levels (P<0.01) in RIN5F cells to normal.

DISCUSSION

These results suggest that BDNF has potent cytoprotective actions, restores anti-oxidant defenses to normal and thus, prevents apoptosis and preserves insulin secreting capacity of β cells. In addition, BDNF enhanced viability of RIN 5F in vitro. Thus, BDNF not only has anti-diabetic actions but also preserves pancreatic β cells integrity and enhances their viability. These results imply that BDNF functions as an endogenous cytoprotective molecule that may explain its beneficial actions in some neurological conditions as well.

Prevalence and Correlates of Smoking and Readiness to Quit Smoking in People Living with HIV in Austria and Germany

We aimed to investigate the prevalence and correlates of smoking in people living with HIV (PLWHIV) in Germany and Austria and their readiness to quit. A total of 447 consecutive patients with confirmed positive HIV status who were treated in different outpatient HIV centres in Austria and Germany were included. Nicotine dependence and stages of change were assessed by standardized questionnaires, and this was confirmed by measuring exhaled carbon monoxide. Prevalence of smoking was 49.4%. According to a multivariate logistic regression analysis, higher age (for each year of life OR = 0.96; 95% CI 0.92–1.00) and tertiary education level (OR = 0.43; 95% CI 0.15–0.79) were associated with a lower chance, and occasional (OR = 3.75; 95% CI 1.74–8.07) and daily smoking of the partner (OR 8.78; 95% CI 4.49–17.17) were significantly associated with a higher chance of smoking. Moderate (OR = 3.41; 95% CI = 1.30–9.05) and higher nicotine dependency level (OR = 3.40; 95% CI 1.46–7.94), were significantly associated with higher chance, and older age (for each year of life OR = 0.95; 95% CI = 0.91–0.99), with lower chance for readiness to quit smoking. Those results may be used to address preventive measures to quit smoking aimed at PLWHIV and the importance of addressing smoking habits.

Impaired lipid profile and insulin resistance in a cohort of Austrian HIV patients

INTRODUCTION

Traditional risk factors for cardiovascular diseases have been shown to have an even higher impact in the HIV infected population. Cardiovascular risk factors amongst people living with HIV treated in doctor's offices in Austria have not been documented before. Our study aimed to close this gap, focusing on dyslipidemia, diabetes mellitus and diabetes risk.

PATIENTS AND METHODS

After ethics approval, consecutive patients who visited their treating physicians for routine checks were enrolled. The lipid profile was assessed by measuring total cholesterol, triglycerides, HDL and apolipoprotein B and calculating LDL and non-HDL-cholesterol. The diabetes risk was calculated by measuring insulin and blood glucose levels and assessing insulin resistance and beta cell function using the HOMA-IR model.

RESULTS

522 patients were included in the analysis. 90.2% of the participants were on antiretroviral therapy. Two third had an impaired lipid profile, but dyslipidemia had been diagnosed only in 46.3% of the patients. There was a clear correlation between protease inhibitor use and pathologic blood lipids. Of the persons with dyslipidemia, 18.4% received lipid lowering drugs. 8 persons (1.6%) fulfilled the criteria for diabetes mellitus. Of those, 4 patients already had a diagnosed diabetes mellitus. 50.1% of the study participants showed an increased insulin resistance. Patients on nucleoside reverse transcriptase inhibitors had significantly higher markers for impaired glucose metabolism.

DISCUSSION

We found a high percentage of increased insulin resistance, of impaired lipid profile and in contrast to this a low treatment rate with lipid lowering drugs in this cohort of people living with HIV.

The Relationship of Diabetes and Smoking Status to Hepatocellular Carcinoma Mortality

The relationship of diabetes and smoking status to hepatocellular carcinoma (HCC) mortality is not clear. We aimed to investigate the association of smoking cessation relative to diabetes status with subsequent deaths from HCC.We followed up 51,164 participants (aged 44-94 years) without chronic hepatitis B or C from 1 January 1998 to 31 December 2008 enrolled from nationwide health screening units in a prospective cohort study. The primary outcomes were deaths from HCC.During the study period, there were 253 deaths from HCC. History of diabetes was associated with deaths from HCC for both total participants (adjusted hazard ratio [HR], 2.97; 95% confidence interval [CI], 2.08-4.23) and ever smokers with current or past smoking habits (HR, 1.92; 95% CI, 1.10-3.34). Both never smokers (HR, 0.46; 95% CI, 0.32-0.65) and quitters (HR, 0.62; 95% CI, 0.39-0.97) had a lower adjusted risk of HCC deaths compared with current smokers. Among all ever smokers with current or past smoking habits, as compared with diabetic smokers, only quitters without diabetes had a lower adjusted risk of HCC deaths (HR, 0.37; 95% CI, 0.18-0.78). However, quitters with diabetes were observed to have a similar risk of deaths from HCC when compared with smokers with diabetes. Regarding the interaction between diabetes and smoking status on adjusted HCC-related deaths, with the exception of quitters without history of diabetes, all groups had significantly higher HRs than nondiabetic never smokers. There was also a significant multiplicative interaction between diabetes and smoking status on risk of dying from HCC (P = 0.033). We suggest clinicians should promote diabetes prevention and never smoking to associate with reduced subsequent HCC mortality even in adults without chronic viral hepatitis.

Effects of active and passive smoking on the development of cardiovascular disease as assessed by a carotid intima-media thickness examination in patients with type 2 diabetes mellitus

Carotid intima-media thickness has been widely used as a surrogate end-point for cardiovascular disease, myocardial infarction, and stroke. This study aimed to assess the effects of active and passive smoking exposure on the development of cardiovascular disease in patients with type 2 diabetes mellitus. Seven hundred twenty-two patients with type 2 diabetes mellitus were recruited for the study. A standardized questionnaire on smoking status, pack-years of smoking, and the number of years of smoking cessation was provided to the patients, and their responses were collected for analysis. The carotid intima-media thickness, carotid plaque, and the internal diameter of the common carotid artery were determined by high-resolution B-mode ultrasonography. Compared to non-smokers, passive female smokers had a higher risk of cardiovascular disease (odds ratio = 3.50, 95% confidence interval: 1.29-9.49, P = 0.009); they also had a significantly larger common carotid artery (P = 0.041) and risk of carotid plaque (odds ratio = 2.20, 95% confidence interval: 1.1980-4.0505, P = 0.01). Both active and passive male smokers had a significantly greater carotid intima-media thickness than non-smokers (P = 0.003 and P = 0.005, respectively). Male active smokers had a significantly higher risk of carotid plaque (odds ratio = 2.88, 95% confidence interval: 1.4788-5.6094, P = 0.001). In conclusion, cumulative active and passive smoking exposures are significant risk factors for carotid atherosclerosis in patients with type 2 diabetes mellitus. Our results highlight the importance of endorsing a smoke-free environment for patients with type 2 diabetes mellitus.

Smoking Cessation Carries a Short-Term Rising Risk for Newly Diagnosed Diabetes Mellitus Independently of Weight Gain: A 6-Year Retrospective Cohort Study

Background. The effects of smoking on human metabolism are complex. Although smoking increases risk for diabetes mellitus, smoking cessation was also reported to be associated with weight gain and incident diabetes mellitus. We therefore conducted this study to clarify the association between smoking status and newly diagnosed diabetes mellitus. Methods. An analysis was done using the data of a mass health examination performed annually in an industrial park from 2007 to 2013. The association between smoking status and newly diagnosed diabetes mellitus was analyzed with adjustment for weight gain and other potential confounders. Results. Compared with never-smokers, not only current smokers but also ex-smokers in their first two years of abstinence had higher odds ratios (ORs) for newly diagnosed diabetes mellitus (never-smokers 3.6%, OR as 1; current smokers 5.5%, OR = 1.499, 95% CI = 1.147-1.960, and p = 0.003; ex-smokers in their first year of abstinence 7.5%, OR = 1.829, 95% CI = 0.906-3.694, and p = 0.092; and ex-smokers in their second year of abstinence 9.0%, OR = 2.020, 95% CI = 1.031-3.955, and p = 0.040). Conclusion. Smoking cessation generally decreased risk for newly diagnosed diabetes mellitus. However, increased odds were seen within the first 2 years of abstinence independently of weight gain.

Poor structural social support is associated with an increased risk of Type 2 diabetes mellitus: findings from the MONICA/KORA Augsburg cohort study

AIMS

Several psychosocial factors have been shown to increase the risk of Type 2 diabetes mellitus. This study investigated the association between structural social support and incidence of Type 2 diabetes mellitus in men and women.

METHODS

Data were derived from three population-based MONICA/KORA surveys conducted in 1984-1995 in the Augsburg region (southern Germany) and followed up by 2009. The study population comprised 8952 participants (4669 men/4283 women) aged 30-74 years without diabetes at baseline. Structural social support was assessed using the Social Network Index. Sex-specific hazard ratios were estimated from Cox proportional hazard models.

RESULTS

Within follow-up, 904 incident Type 2 diabetes mellitus cases (558 men, 346 women) were observed. Crude incidence rates for Type 2 diabetes mellitus per 10 000 person-years were substantially higher in poor compared with good structural social support (men: 94 vs. 69, women: 58 vs. 43). After adjustment for age, survey, parental history of diabetes, smoking status, alcohol intake, physical activity, hypertension, dyslipidaemia, BMI, education, sleep complaints and depressed mood, risk of Type 2 diabetes mellitus for participants with poor compared with good structural social support was 1.31 [95% confidence interval (CI) = 1.11-1.55] in men and 1.10 (95% CI = 0.88-1.37) in women. Stratified analyses revealed a hazard ratio of 1.50 (95% CI = 1.23-1.83) in men with a low level of education and 0.87 (95% CI = 0.62-1.22) in men with a high level of education (P for interaction: 0.0082).

CONCLUSIONS

Poor structural social support is associated with Type 2 diabetes mellitus in men. This association is independent of risk factors at baseline and is particularly pronounced in men with a low level of education.

Relation of active, passive, and quitting smoking with incident type 2 diabetes: a systematic review and meta-analysis

BACKGROUND

Cigarette smoking remains the leading avoidable cause of disease burden worldwide, and observational studies have linked various smoking behaviours (active smoking, passive smoking, and smoking cessation) with risk of type 2 diabetes. We did a meta-analysis of prospective studies to investigate the associations between various smoking behaviours and diabetes risk.

METHODS

We systematically searched MEDLINE (up to May 3, 2015) and Embase (up to April 16, 2014) for reports of prospective studies, using search terms related to smoking, diabetes mellitus, and studies with a prospective design. We supplemented this strategy with manual searches of the reference lists of retrieved publications and relevant reviews. We included prospective studies that reported risk of type 2 diabetes by baseline smoking status. We calculated pooled relative risks (RRs) with 95% CIs using random-effects models, and did subgroup analyses by participant and study characteristics.

FINDINGS

We identified 88 eligible prospective studies with 5 898 795 participants and 295 446 incident cases of type 2 diabetes. The pooled RR of type 2 diabetes was 1·37 (95% CI 1·33-1·42) for comparing current smoking with non-smoking (84 studies with 5 853 952 participants), 1·14 (1·10-1·18) for comparing former smoking with never smoking (47 studies with 2 930 391 participants), and 1·22 (1·10-1·35) for comparing never smokers with and without exposure to passive smoke (seven studies with 156 439 participants). The associations persisted in all subgroups, and we identified a dose-response relation for current smoking and diabetes risk: compared with never smokers, the RRs were 1·21 (1·10-1·33) for light smokers, 1·34 (1·27-1·41) for moderate smokers, and 1·57 (1·47-1·66) for heavy smokers. Based on the assumption that the association between smoking and diabetes risk is causal, we estimated that 11·7% of cases of type 2 diabetes in men and 2·4% in women (ie, about 27·8 million cases in total worldwide) were attributable to active smoking. Compared with never smokers, the pooled RR from ten studies with 1 086 608 participants was 1·54 (95% CI 1·36-1·74) for new quitters (<5 years), 1·18 (1·07-1·29) for middle-term quitters (5-9 years), and 1·11 (1·02-1·20) for long-term quitters (≥10 years).

INTERPRETATION

Active and passive smoking are associated with significantly increased risks of type 2 diabetes. The risk of diabetes is increased in new quitters, but decreases substantially as the time since quitting increases. If the association between smoking and risk of type 2 diabetes is causal, public health efforts to reduce smoking could have a substantial effect on the worldwide burden of type 2 diabetes.

FUNDING

Chinese National Thousand Talents Program for Distinguished Young Scholars, US National Institutes of Health, the Chinese National 111 Project, and the Program for Changjiang Scholars and Innovative Research Team in University from the Chinese Ministry of Education.

The impact of prenatal parental tobacco smoking on risk of diabetes mellitus in middle-aged women

Growing evidence indicates that parental smoking is associated with risk of offspring obesity. The purpose of this study was to identify whether parental tobacco smoking during gestation was associated with risk of diabetes mellitus. This is a prospective study of 44- to 54-year-old daughters (n = 1801) born in the Child Health and Development Studies pregnancy cohort between 1959 and 1967. Their mothers resided near Oakland California, were members of the Kaiser Foundation Health Plan and reported parental tobacco smoking during an early pregnancy interview. Daughters reported physician diagnoses of diabetes mellitus and provided blood samples for hemoglobin A1C measurement. Prenatal maternal smoking had a stronger association with daughters' diabetes mellitus risk than prenatal paternal smoking, and the former persisted after adjustment for parental race, diabetes and employment (aRR = 2.4 [95% confidence intervals 1.4-4.1] P < 0.01 and aRR = 1.7 [95% confidence intervals 1.0-3.0] P = 0.05, respectively). Estimates of the effect of parental smoking were unchanged when further adjusted by daughters' birth weight or current body mass index (BMI). Maternal smoking was also significantly associated with self-reported type 2 diabetes diagnosis (2.3 [95% confidence intervals 1.0-5.0] P < 0.05). Having parents who smoked during pregnancy was associated with an increased risk of diabetes mellitus among adult daughters, independent of known risk factors, providing further evidence that prenatal environmental chemical exposures independent of birth weight and current BMI may contribute to adult diabetes mellitus. While other studies seek to confirm our results, caution toward tobacco smoking by or proximal to pregnant women is warranted in diabetes mellitus prevention efforts.

A meta-analysis of passive smoking and risk of developing Type 2 Diabetes Mellitus

AIMS

To assess passive smoking as a risk factor for developing type 2 Diabetes Mellitus (T2DM).

METHODS

A search of PubMed, Web of Knowledge, Elsevier ScienceDirect and Springer (up to March, 2014) databases were performed using subject and random words. Two authors independently extracted the data. The Newcastle-Ottawa Scale (NOS) was used to assess the quality of included studies. The odds ratio (ORs) for the association was determined using a fix-effects model. Subgroup and sensitivity analyses were performed and publication bias was assessed.

RESULT

7 prospective studies were included in this meta-analysis which included a total of 162,001 subjects. The overall OR for developing T2DM for passive smoking was 1.33 (95% confidence interval (CI) 1.20-1.46), with no significant heterogeneity between studies. The result was stable in the subgroup and sensitivity analyses, however there was evidence of publication bias. After the "fill and trim" method, the recalculated OR was 1.27 (95%CI 1.16-1.40).

CONCLUSIONS

Passive smoking is a risk factor of T2DM even in those who were not themselves active smokers.

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.

Passive smoke exposure and risk of diabetes: a meta-analysis of prospective studies

Epidemiological evidence suggests that passive smoke exposure is related to the development of diabetes. However, data on this issue are controversial. We conducted a meta-analysis to provide a quantitative assessment of the association between passive smoking and the risk of diabetes. We searched the Medline and Embase databases up to October 2013 to identify prospective cohort studies related to passive smoke exposure and incident diabetes. Summary effect estimates with 95 % confidence intervals (CI) were derived using a fixed or random effects model, depending on the heterogeneity of the included studies. Six prospective studies that span three continents involving 154,406 participants (ages 18-74) with 7,116 new diabetes cases were included in the meta-analysis. On the basis of the Newcastle Ottawa Scale system, five studies were identified as relatively high-quality. In our primary analysis, compared to never smokers without passive smoke exposure, never smokers reporting passive smoke exposure was associated with increased risk of diabetes (pooled relative risk 1.21, 95 % CI 1.07-1.38). Such association persisted in the dose-response analysis. No indications of significant heterogeneity and publication bias were detected. Estimates of total effects were generally consistent in the sensitivity and subgroup analyses. Findings of the present meta-analysis suggest that passive smoke exposure is independently associated with the risk of diabetes. The conclusion may have a far-reaching significance for public health in countries of high smoking intensity and high incident diabetes.

Smoking is associated with impaired glucose regulation and a decrease in insulin sensitivity and the disposition index in first-degree relatives of type 2 diabetes subjects independently of the presence of metabolic syndrome

The aim of this study was to investigate glucose tolerance, insulin secretion and insulin resistance according to smoking habits in first-degree relatives of type 2 diabetes patients, a population at high risk for developing diabetes. One thousand three hundred (646 females and 654 males) subjects underwent an oral glucose tolerance test (OGTT) to investigate their glucose metabolism and answered questionnaires about their lifestyle habits. Smoker subjects showed significant impairment compared with non-smoker subjects in 2-h post-oral glucose tolerance test (2hOGTT, 129.3 ± 40.2 vs. 117.7 ± 37.6 mg/dl, p < 0.001), the OGTT insulin sensitivity (386.3 ± 54.9 vs. 400.5 ± 53.4 ml min(-1) m(2), p < 0.01) method and the insulin sensitivity and secretion index-2 (ISSI-2, 1.7 ± 0.8 vs. 2.0 ± 1.0, p < 0.005). Metabolic syndrome (MS) was higher in the smoker than in the non-smoker group (46.5 vs. 29.7 %, p < 0001), and smokers were more sedentary than non-smokers (3.94 ± 3.77 vs. 4.86 ± 4.41 h/week, p < 0.001). Smokers showed an increased risk of impaired glucose regulation (IGR: impaired glucose tolerance or diabetes mellitus) with a hazard ratio (HR) adjusted by gender, metabolic syndrome and physical activity of 1.78, 95 % CI 1.27-2.47 (p < 0.001). The association between smoking and MS conferred a risk of IGR that was five times higher (HR 5.495, 95 % CI 4.07-7.41, p < 0.001). Smoking habit was a significant explanatory variable in a multiple forward stepwise regression analysis performed using 2hOGTT and ISSI-2 as dependent variables (p < 0.0001, R = 0.313 and p < 0.0001, R = 0.347, respectively). In conclusions, our results show that tobacco smoking is tightly associated with impairments in glucose metabolism and insulin sensitivity and insulin secretion.

Environmental tobacco smoke exposure and diabetes in adult never-smokers

BACKGROUND

Active smoking has been linked to type 2 diabetes mellitus (T2DM) but only few recent studies have shown environmental tobacco smoke (ETS) to be associated with DM in never-smokers. We assessed the association between long term ETS exposure and DM, and explored effect modifications of this association in our sample.

METHODS

We analysed 6392 participants of the Swiss study on air pollution and lung and heart diseases in adults (SAPALDIA). We used mixed logistic regression models to assess the cross-sectional association between ETS and DM. Selected variables were tested for effect modification and several sensitivity analyses were performed, mostly treating participants' study area as a random effect.

RESULTS

The prevalence of DM and ETS in the sample was 5.5% and 47% respectively. There were 2779 never-smokers with 4% diabetes prevalence. Exposure to ETS increased risk of DM in never-smokers by 50% [95% confidence interval (CI): 1.00, 2.26], and we observed a positive dose-response relationship between ETS exposure level and DM in never-smokers. Associations were strengthened (more than three-folds) by older age and chronic obstructive pulmonary disease, and were stronger in post-menopausal, obese, hypertriglyceridaemic and physically inactive participants. Estimates of association were robust across all sensitivity analyses (including inverse probability weighting for participation bias and fixed-effect analysis for study area). ETS had no substantial associations in current and ex-smokers in our study.

CONCLUSIONS

We found a positive association between ETS exposure and DM in never smokers. Additional longitudinal studies involving biomarkers are needed to further explore underlying mechanisms and susceptibilities.

Job strain as a risk factor for the onset of type 2 diabetes mellitus: findings from the MONICA/KORA Augsburg cohort study

OBJECTIVE

To examine whether job strain is associated with an increased risk of subsequent Type 2 diabetes mellitus (T2DM) development in a population-based study of men and women.

METHODS

Data were derived from the prospective MONICA/KORA Augsburg study. We investigated 5337 working participants aged 29 to 66 years without diabetes at one of the three baseline surveys. Job strain was measured by the Karasek job content questionnaire. High job strain was defined by the quadrant approach, where high job demands combined with low job control were classified as high job strain. Continuous job strain (quotient of job demands divided by job control) was additionally analyzed as sensitivity analysis. Hazard ratios (HRs) were estimated using multivariable Cox proportional hazards models with adjustment for age, sex, survey, socioeconomic and life-style variables, parental history of diabetes, and body mass index.

RESULTS

During a median follow-up of 12.7 years, 291 incident cases of T2DM were observed. The participants with high job strain at baseline had a 45% higher fully adjusted risk to develop T2DM than did those with low job strain (HR = 1.45 [95% confidence interval = 1.00-2.10], p = .048). On the continuous scale, more severe job strain in the magnitude of 1 standard deviation corresponded to a 12% increased fully adjusted T2DM risk (HR = 1.12 [95% confidence interval = 1.00-1.25], p = .045).

CONCLUSIONS

Men and women who experience high job strain are at higher risk for developing T2DM independently of traditional risk factors. Preventive strategies to combat the globally increasing T2DM epidemic should take into consideration the adverse effects of high strain in the work environment.

The Association Between Passive Smoking and Type 2 Diabetes

The number of people with diabetes has been exponentially increasing. A number of reports in the literature have suggested that exposure to passive smoke may play a key role in the development of diabetes; however, the association has not been jointly summarized yet. In this meta-analysis, 2 databases were searched to identify studies, and the references of these studies were scanned for further studies. Fourteen studies on the relationship between passive smoking and diabetes were included. After all the studies were pooled, the results showed that passive smoking was significantly associated with an increased risk of type 2 diabetes in a random model. The subgroup analysis results were consistent with overall results regardless of type of study design, age, gender, adjustment of dependent variables, area, or study quality. Sensitivity analysis indicated that the overall results were reliable. There was no publication bias observed in the selected studies.