Smoking and type 2 diabetes mellitus

Leveraging Policy Solutions for Diabetes Disparities: Suggestions for Improving the National Clinical Care Commission Report's Recommendations for Hispanic/Latino Populations

In the U.S., Hispanic/Latino populations face increased disparities in both the prevalence and management of type 2 diabetes mellitus (T2DM). This article critically examines the multifaceted nature of T2DM disparities among Hispanic/Latino populations in the U.S. and identifies key factors contributing to T2DM prevalence within these communities, including socioeconomic status, cultural influences, and healthcare access. Utilizing a modified expert consensus procedure, we evaluate the ways in which the National Clinical Care Commission (NCCC) recommendations apply to the Hispanic/Latino community as well as propose recommendations for improved efficacy. Through a comprehensive analysis of government-community health initiatives, food security, environmental exposures, and housing inequalities, we emphasize the need for targeted interventions and health policies to effectively address and dismantle these disparities. Overall, while the National Clinical Care Commission's recommendations provide a valuable framework for the implementation of policies pertaining to diabetes management and prevention in the general population, our analysis suggests that recommendations may be strengthened by considering the unique cultural, social, and economic needs of the Hispanic/Latino population moving forward.

A comprehensive review: role of smokeless tobacco consumption as a risk factor for diabetes mellitus

The extensive use of smokeless tobacco and the worldwide occurrence of diabetes mellitus (DM) poses significant public health obstacles. A comprehensive review of the literature was undertaken to assess epidemiological research, clinical trials, and meta-analyses that examine the link between smokeless tobacco use and DM. The key results indicate that the biological constituents of smokeless tobacco may interfere with the process of glucose metabolism and lead to an increase in insulin resistance. An association between consumption levels and diabetes risk is evident, with higher levels of usage being positively correlated with an increased chance of developing diabetes. Smokeless tobacco usage is identified as a significant risk factor for DM. This highlights the need to implement focused public health initiatives and policies aimed at decreasing the usage of smokeless tobacco and its influence on the incidence of diabetes. Future research should prioritize elucidating the processes behind this correlation and developing efficacious preventative methods to mitigate the worldwide burden of diabetes.

Predicting the risk of type 2 diabetes mellitus (T2DM) emergence in 5 years using mammography images: a comparison study between radiomics and deep learning algorithm

Purpose

The prevalence of type 2 diabetes mellitus (T2DM) has been steadily increasing over the years. We aim to predict the occurrence of T2DM using mammography images within 5 years using two different methods and compare their performance.

Approach

We examined 312 samples, including 110 positive cases (developed T2DM after 5 years) and 202 negative cases (did not develop T2DM) using two different methods. In the first method, a radiomics-based approach, we utilized radiomics features and machine learning (ML) algorithms. The entire breast region was chosen as the region of interest for extracting radiomics features. Then, a binary breast image was created from which we extracted 668 features and analyzed them using various ML algorithms. In the second method, a complex convolutional neural network (CNN) with a modified ResNet architecture and various kernel sizes was applied to raw mammography images for the prediction task. A nested, stratified five-fold cross-validation was done for both parts A and B to compute accuracy, sensitivity, specificity, and area under the receiver operating curve (AUROC). Hyperparameter tuning was also done to enhance the model's performance and reliability.

Results

The radiomics approach's light gradient boosting model gave 68.9% accuracy, 30.7% sensitivity, 89.5% specificity, and 0.63 AUROC. The CNN method achieved an AUROC of 0.58 over 20 epochs.

Conclusion

Radiomics outperformed CNN by 0.05 in terms of AUROC. This may be due to the more straightforward interpretability and clinical relevance of predefined radiomics features compared with the complex, abstract features learned by CNNs.

Predictors of Postprandial Hyperglycemia in Non-Diabetic Adult Hospital Visitors: A Cross-Sectional Study Across Religious Groups in Northern Israel

Background/Objectives: Ethnocultural differences between Jewish and Arab communities in Northern Israel may contribute to disparities in type 2 diabetes prevalence. Widespread screening strategies, including hospital-based initiatives, are crucial for early detection of hyperglycemia. This study aimed to determine the prevalence of postprandial hyperglycemia and identify its associated factors in a diverse population of non-diabetic adults visiting the Galilee Medical Center, a tertiary care hospital in Northern Israel. Methods: Participants were recruited between November 2017 and July 2023 through a voluntary screening program for non-diabetic adult visitors to the hospital. Capillary blood glucose measurements were obtained 1-4 h after a meal using a standardized glucometer. Postprandial hyperglycemia was defined as a blood glucose level ≥147 mg/dL, while postprandial normoglycemia was defined as ≤133 mg/dL. Individuals with glucose levels between 134-146 mg/dL were excluded from the analysis. Additional exclusion criteria included known diabetes, acute illness, corticosteroid use, and pregnancy. Demographic data, lifestyle factors, and health status were recorded. Propensity score matching was employed to ensure comparability between religious groups based on age, gender, and body mass index. Logistic regression analyses were conducted to identify independent predictors of postprandial hyperglycemia. Results: 3457 adult visitors underwent postprandial glucose testing and met eligibility criteria. Following propensity score matching, 1845 participants (615 each from Druze, Jewish, and Muslim religious groups) were included in the final analysis. The prevalence of postprandial hyperglycemia was 9.4% in Druze, 6.0% in Jews, and 8.0% in Muslims (p = 0.08). Age >50 years was significantly associated with postprandial hyperglycemia in all groups. Obesity was associated with postprandial hyperglycemia in Muslims, with a similar non-significant trend in the Jewish cohort. Self-reported poor health was also associated with postprandial hyperglycemia in Muslims. In the Druze cohort, a low daily intake of daily fresh vegetable consumption was significantly associated with postprandial hyperglycemia. Conclusions: This study highlights the feasibility of hospital-based screening for postprandial hyperglycemia among adult visitors and reveals ethnic variations in prevalence and associated risk factors.

Chemical Profile and Potential Application of Agri-food Waste Products for Counteracting Diabetes Induced Neuropathy in Rats

This study aimed to prepare defatted ethanol extract of Abelmoschus esculentus leaves, Morus nigra leaves and Punica granatum peel, to identify the chemical composition of these extracts and to explore their efficacy in counteracting diabetic neuropathy. LC-ESI-MS spectrometry was the hyphenated tool for component identification of these extracts. Behavioral, biochemical, and histopathological investigations were carried out after treatments of diabetic rats. The phenolic contents in the extracts are 16.38, 34.75 and 40.57 mg GAE/g extract regarding A. esculentus leaves, M. nigra leaves and P. granatum peel respectively. Chemodiversity of the phenolic contents was observed from the LC/Mass, where A. esculentus extract contained isoflavonoids and flavanones, M. nigra extract consisted of benzofurans, prenylated flavonoids, stilbenes, and xanthones, and P. granatum extract was rich in ellagitanins, condensed tannins, and anthocyanins. The extracts normalize of blood glucose levels, enhance the explorative behavior of the rats and their response time to thermal pain, restore the oxidant/antioxidant balance, attenuate inflammation, augment brain monoamines levels and modulate MAO-A and Ache enzyme activity. Furthermore, they recovered brain histopathological alterations. Conclusively, this study offers experimental evidence for the neuroprotective impact of studied defatted ethanol extracts against diabetic neuropathy via their hypoglycemic effect, antioxidant activity, and anti-inflammatory potential.

Gene Expression Analysis in T2DM and Its Associated Microvascular Diabetic Complications: Focus on Risk Factor and RAAS Pathway

Prolonged hyperglycemic conditions in type 2 diabetes mellitus (T2DM) cause pathological and functional damage to many organs and tissues, including the kidneys, retina, skin, and neuronal tissues, resulting in the development of microvascular diabetic complications. The altered renin angiotensin aldosterone system (RAAS) pathway has been reported to play an important role in the development of insulin resistance in T2DM and associated complications. The current study was carried out to evaluate the association of risk factors and altered expression of RAAS genes in T2DM patients without complications and T2DM patients with complications (retinopathy, nephropathy, and neuropathy). Four hundred and twenty subjects including 140 healthy controls, 140 T2DM patients with diabetic complications, and 140 T2DM patients without diabetic complications were included in the study. Risk factors associated with the development of T2DM and diabetic complications were evaluated. Further, expression analysis of RAAS genes (AGT, ACE, ACE2, and AGT1R) was carried out using qRTPCR in healthy controls, T2DM patients with complications, and T2DM patients without complications. Various risk factors like urban background, higher BMI, alcoholism, smoking, and family history of diabetes among others were found to be associated with the development of T2DM as well as diabetic complications. The expression level of AGT, ACE, and AGT1R was found to be upregulated whereas ACE2 was found to be downregulated in T2DM patients with complications and T2DM patients without complications as compared to controls. Altered expression of the studied genes of RAAS pathway is associated with the development of microvascular diabetic complications.

Association Between Tobacco Smoking and the Development of Diabetic Macular Edema

Introduction: To explore the effect of cigarette smoking on the risk for developing diabetic macular edema (DME) among patients with diabetes. Methods: This retrospective exactly-matched cohort study used claims data for patients from all 50 states in the United States from 2010 through 2020. Patients with an initial diagnosis of diabetes were stratified into 3 cohorts as follows: active smokers, never smokers, and former smokers. After exact matching based on demographics and comorbidities, Kaplan-Meier survival functions for the 3 cohorts were compared using pairwise log-rank tests. Results: After matching, there were 42 298 patients in each cohort. Over 6 years of follow-up, the cumulative risk for DME was significantly higher among never smokers (1.18%) than among active smokers (0.88%) and former smokers (0.90%) (both P < .001). Conclusions: Among patients with diabetes, smoking may decrease the risk for developing DME. Although the harms of smoking far outweigh any potential protective benefits, further investigation into the mechanisms behind these findings has potential to uncover new therapeutic targets.

Apolipoprotein E Gene Variation in Pakistani Subjects with Type 2 Diabetes with and without Cardiovascular Complications

Background: Apolipoprotein E (APOE) gene polymorphism has been implicated in the pathogenesis of various metabolic disorders, including type 2 diabetes mellitus (T2DM). Type 2 diabetes mellitus (T2DM) is a major public health concern worldwide, including in Pakistan. Cardiovascular problems linked with T2DM have a significant impact on individuals and society. The goal of this study is to investigate the relationship between Apolipoprotein E (ApoE) genotypes, dyslipidemia, and cardiovascular complications such as ischemic heart disease (IHD) and stroke. Methods: This study was carried out on 260 subjects divided into controls and diabetics. The diabetics were further divided into four subgroups such as D1: diabetics without cardiovascular issues, D2: diabetics with heart disease, D3: diabetics with stroke, and D4: diabetics with both heart disease and stroke. Anthropometric parameters (age, BMI) and risk factors (smoking, diabetes duration, hypertension) were assessed in all groups. Serum levels of TC, TG, LDL, HDL, VLDL, creatinine, BSF, and HbA1c were also measured. Apolipoprotein E gene polymorphism was determined using PCR-RFLP. Results: Hypertension, BMI, and dyslipidemia are defined as elevated levels of total cholesterol, triglycerides, LDL, and VLDL, and decreased levels of HDL. Uncontrolled hyperglycemia (elevated fasting blood sugar and glycated hemoglobin) in T2DM was linked to vascular complications such as IHD and stroke. Hypertension was prevalent in 79.3% of the population. Stage 2 hypertension was more prevalent in all age groups. It was also noted that common genotypes in the Pakistani population are 3/3, 4/4, 2/3, and 3/4. The frequency of genotypes 3/4 and 2/3 is highest in diabetics with stroke. Genotype 3/3 is present frequently in diabetics with IHD/stroke and patients with both these complications. However, genotype 4/4 is most frequently found in diabetics with IHD. Conclusions: It is concluded that BMI, hypertension, hyperglycemia, atherosclerosis, and dyslipidemia are linked with cardiovascular complications of type 2 diabetes. Apolipoprotein E gene polymorphism is associated with cardiovascular disease in patients with diabetes by affecting the lipid profile.

Aqueous humor perturbations in chronic smokers: a proteomic study

The detrimental effects of smoking are multisystemic and its effects on the eye health are significant. Smoking is a strong risk factor for age-related nuclear cataract, age-related macular degeneration, glaucoma, delayed corneal epithelial healing and increased risk of cystoid macular edema in patients with intermediate uveitis among others. We aimed to characterize the aqueous humor (AH) proteome in chronic smokers to gain insight into its perturbations and to identify potential biomarkers for smoking-associated ocular pathologies. Compared to the control group, chronic smokers displayed 67 (37 upregulated, 30 downregulated) differentially expressed proteins (DEPs). Analysis of DEPs from the biological point of view revealed that they were proteins involved in complement activation, lymphocyte mediated immunity, innate immune response, cellular oxidant detoxification, bicarbonate transport and platelet degranulation. From the molecular function point of view, DEPs were involved in oxygen binding, oxygen carrier activity, hemoglobin binding, peptidase/endopeptidase/cysteine-type endopeptidase inhibitory activity. Several of the upregulated proteins were acute phase reactant proteins such as clusterin, alpha-2-HS-glycoprotein, fibrinogen, alpha-1-antitrypsin, C4b-binding protein and serum amyloid A-2. Further research should confirm if these proteins might serve as biomarkers or therapeutic target for smoking-associated ocular diseases.

The direct and spillover effects of diabetes diagnosis on lifestyle behaviours

Using blood sample data we exploit an arbitrary cut-off of diabetes risk and through a fuzzy regression kink design we estimate the effect of a diabetes diagnosis on own and partner health-related behaviours. Diabetes diagnosis increases the probability of exercising, both for those diagnosed with diabetes and their partner. We also conduct mediation analysis which suggests that joint household participation is the channel behind this effect. Our results have significant implications for the understanding of the channels that induce behavioural change, and household decision making, as well as, for the evaluation of diabetes related policies.

Influence of quitting smoking on diabetes-related complications: A scoping review with a systematic search strategy

INTRODUCTION

Smoking in people with diabetes markedly elevates their risk of developing complications and increases the likelihood of cardiovascular mortality. This review is the first to specifically provide evidence-based analysis about the influence of quitting smoking on diabetes-related complications in people with type 2 diabetes.

METHOD

The present review was carried out according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) Extension for Scoping Reviews. All human clinical studies assessing the effects of stopping smoking cessation on diabetes-related complications were included. PubMed and Embase were screened until January 2024. References of primary studies and principal peer-reviewed scientific journals in the field were manually screened.

RESULTS

We identified a total of 1023 studies. Only 26 met the criteria for eligibility. In general quitting smoking is associated with decreased risks of myocardial infarction and ischemic stroke. Regarding microvascular complications, the strongest evidence for the beneficial effects of smoking cessation is observed in diabetic nephropathy. However, the relationship between smoking cessation and retinopathy, neuropathy, diabetic foot complications and diabetic-related erectile dysfunction, is poorly investigated.

CONCLUSION

Quitting smoking offers significant advantages in managing diabetes-related complications, significantly lowering the risks of myocardial infarction, ischemic stroke, and diabetic nephropathy. This underscores the importance of cessation. Providing evidence-based information on the benefits of stopping smoking for people with type 2 diabetes who smoke, can bolster smoking cessation efforts in the context of diabetes management.

Influence of blood glucose fluctuations on chemotherapy efficacy and safety in type 2 diabetes mellitus patients complicated with lung carcinoma

BACKGROUND

Patients with type 2 diabetes mellitus (T2DM) have large fluctuations in blood glucose (BG), abnormal metabolic function and low immunity to varying degrees, which increases the risk of malignant tumor diseases and affects the efficacy of tumor chemotherapy. Controlling hyperglycemia may have important therapeutic implications for cancer patients.

AIM

To clarify the influence of BG fluctuations on chemotherapy efficacy and safety in T2DM patients complicated with lung carcinoma (LC).

METHODS

The clinical data of 60 T2DM + LC patients who presented to the First Affiliated Hospital of Ningbo University between January 2019 and January 2021 were retrospectively analyzed. All patients underwent chemotherapy and were grouped as a control group (CG; normal BG fluctuation with a mean fluctuation < 3.9 mmol/L) and an observation group (OG; high BG fluctuation with a mean fluctuation ≥ 3.9 mmol/L) based on their BG fluctuations, with 30 cases each. BG-related indices, tumor markers, serum inflammatory cytokines and adverse reactions were comparatively analyzed. Pearson correlation analysis was performed to analyze the correlation between BG fluctuations and tumor markers.

RESULTS

The fasting blood glucose and 2-hour postprandial blood glucose levels in the OG were notably elevated compared with those in the CG, together with markedly higher mean amplitude of glycemic excursions (MAGE), mean of daily differences, largest amplitude of glycemic excursions and standard deviation of blood glucose (P < 0.05). In addition, the OG exhibited evidently higher levels of carbohydrate antigen 19-9, carbohydrate antigen 125, carcinoembryonic antigen, neuron-specific enolase, cytokeratin 19, tumor necrosis factor-α, interleukin-6, and high-sensitivity C-reactive protein than the CG (P < 0.05). Pearson analysis revealed a positive association of MAGE with serum tumor markers. The incidence of adverse reactions was significantly higher in the OG than in the CG (P < 0.05).

CONCLUSION

The greater the BG fluctuation in LC patients after chemotherapy, the more unfavorable the therapeutic effect of chemotherapy; the higher the level of tumor markers and inflammatory cytokines, the more adverse reactions the patient experiences.

Exploring determinants of sex and family history-based disparity in type 2 diabetes mellitus prevalence among clinical patients

BACKGROUND

Type 2 diabetes mellitus represents a multifaceted disorder characterized by intricate pathophysiological mechanisms, encompassing diminished insulin secretion, augmented hepatic glucose production, and heightened insulin resistance. This study aims to assess the sex (Male and Female only) and family history-based differences in the prevalence of T2DM and explore the determinants contributing to this disparity among clinical patients.

SUBJECTS AND METHODS

The study encompassed a diverse pool of clinical patients, encompassing both individuals with diabetes and those without the condition, who had previously sought medical attention for clinical checkups at healthcare centers. The collected data included essential parameters such as blood pressure, weight, height, smoking habits, educational background, and physical activity levels. To ensure methodological rigor and data accuracy, blood pressure measurements adhered to the stringent guidelines set forth by the World Health Organization.

RESULTS

Participants of the present study reported diabetes, among which notable findings emerged regarding health indicators. It was observed that the prevalence of high blood pressure, obesity, and high blood cholesterol exhibited a statistically significant increase among the female participants, underscoring the sex-based disparities in these health parameters. The male population aged 60 or older, the presence of a family history of DM accentuated this risk, resulting in a striking 3.1 times higher prevalence compared to females, who exhibited a 2.4 times higher risk (OR = 2.4, p = 0.0008). This intriguing relationship between diabetes and cholesterol levels was not limited to sex. Both male (OR = 2.47) and female (OR = 2.1) diabetes patients displayed highly significant associations with cholesterol levels. The risk of T2DM was significantly associated with triglycerides in both sexes (1.58 times higher in males, and 1.71 times higher in females).

CONCLUSIONS

The significance of hypertension as a comorbidity in T2DM, highlighting sex-specific associations and the potential impact of a family history of diabetes on blood pressure. Our findings emphasize the importance of considering lipid profiles, obesity, and their sex-specific associations when assessing and managing diabetes risk. Comprehensive diabetes care should include strategies for lipid control, weight management, and cardiovascular risk reduction, tailored to the individual's sex and specific risk profile.

Extensive analysis of risk factors associated with surgical site infections post-cardiothoracic open surgery

Surgical site infections (SSIs) post-cardiothoracic surgery represent a significant challenge in patient care. Understanding the risk factors contributing to SSIs is essential for improving surgical outcomes and patient safety. A comprehensive retrospective analysis was conducted at our institution from January 2021 to December 2022. This study included 30 patients with SSIs and 60 without, following cardiothoracic open surgery. Data were collected on various variables, including hypertension, anaemia, operation time, hospital stay, alcohol consumption, smoking habits, Body Mass Index, age, and drainage tube placement. Univariate and multivariate logistic regression analyses were employed using SPSS software to identify significant predictors of SSIs. Univariate analysis indicated a strong correlation between SSIs and factors like smoking, diabetes mellitus, drainage tube placement, anaemia, and significant intraoperative blood loss (≥800 mL). These factors were statistically significant with p-values < 0.05. Multivariate logistic regression further confirmed the impact of these factors, with high odds ratios indicating a substantial increase in SSI risk associated with these conditions. This study highlights intraoperative blood loss, anaemia, drainage tube placement, smoking, and diabetes mellitus as key risk factors for SSIs post-cardiothoracic surgery. Recognising and addressing these factors through targeted preventive measures is crucial in clinical practice to reduce the incidence of SSIs and improve postoperative care in cardiothoracic surgery.

Lung cancer, comorbidities, and medication: the infernal trio

Most patients with lung cancer are smokers and are of advanced age. They are therefore at high risk of having age- and lifestyle-related comorbidities. These comorbidities are subject to treatment or even polypharmacy. There is growing evidence of a link between lung cancer, comorbidities and medications. The relationships between these entities are complex. The presence of comorbidities and their treatments influence the time of cancer diagnosis, as well as the diagnostic and treatment strategy. On the other hand, cancer treatment may have an impact on the patient's comorbidities such as renal failure, pneumonitis or endocrinopathies. This review highlights how some comorbidities may have an impact on lung cancer presentation and may require treatment adjustments. Reciprocal influences between the treatment of comorbidities and anticancer therapy will also be discussed.

Multi-Centre UK Analysis of Simultaneous Pancreas and Kidney (SPK) Transplant in Recipients With Type 2 Diabetes Mellitus

90% of the UK diabetic population are classified as T2DM. This study aims to compare outcomes after SPK transplant between recipients with T1DM or T2DM. Data on all UK SPK transplants from 2003-2019 were obtained from the NHSBT Registry (n = 2,236). Current SPK transplant selection criteria for T2DM requires insulin treatment and recipient BMI < 30 kg/m2. After exclusions (re-transplants/ambiguous type of diabetes) we had a cohort of n = 2,154. Graft (GS) and patient (PS) survival analyses were conducted using Kaplan-Meier plots and Cox-regression models. Complications were compared using chi-squared analyses. 95.6% of SPK transplants were performed in recipients with T1DM (n = 2,060). Univariate analysis showed comparable outcomes for pancreas GS at 1 year (p = 0.120), 3 years (p = 0.237), and 10 years (p = 0.196) and kidney GS at 1 year (p = 0.438), 3 years (p = 0.548), and 10 years (p = 0.947). PS was comparable at 1 year (p = 0.886) and 3 years (p = 0.237) and at 10 years (p = 0.161). Multi-variate analysis showed comparable outcomes in pancreas GS (p = 0.564, HR 1.221, 95% CI 0.619, 2.406) and PS(p = 0.556, HR 1.280, 95% CI 0.563, 2.911). Comparable rates of common complications were demonstrated. This is the largest series outside of the US evaluating outcomes after SPK transplants and shows similar outcomes between T1DM and T2DM recipients. It is hoped dissemination of this data will lead to increased referral rates and assessment of T2DM patients who could benefit from SPK transplantation.

Association of secondhand smoke with fracture risk in community-dwelling nonsmoking adults in Korea

Although the detrimental effects of active smoking on bone health have been widely recognized, the impact of secondhand smoke exposure on fracture risk in non-smokers remains less understood. A total of 4843 nonsmokers aged 40-69 yr, who participated in the Korean Genome and Epidemiology Study from 2001 to 2018, were analyzed. The participants were categorized into two groups based on their exposure status to secondhand smoke: currently exposed and unexposed. The exposure group was subsequently divided into two subgroups based on the median weekly exposure time (high vs low). The incidence of new fractures was determined using self-reported questionnaires. The identified fractures were categorized according to the fracture site: overall, vertebral, hip, non-vertebral, and non-vertebral non-hip fractures. The mean age of the participants was 52.4 yr (84.1% women). Exposure to secondhand smoke was associated with an increased risk of fracture (adjusted hazard ratio [aHR]: 1.27, P = 0.028) after adjusting for multiple covariates including age, sex, BMI, household income, bone density of mid-shaft tibia, C-reactive protein, alcohol consumption, and fracture history. Secondhand smoke remained as a significant risk factor for fracture, independent of the major osteoporotic fracture probabilities estimated using a fracture risk assessment tool (aHR: 1.24, P = 0.038). The high exposure group had higher risk of fracture than that of the unexposed group (aHR: 1.33, P = 0.025), whereas the fracture risk did not differ significantly between low exposure and unexposed groups (aHR: 1.18, P = 0.253), suggesting a potential dose-response relationship. Secondhand smoke showed robust association with increased risk of non-vertebral (aHR: 1.37, P = 0.008) or non-vertebral non-hip fractures (aHR: 1.36, P = 0.013), while its association with vertebral fracture was attenuated (aHR: 1.03, P = 0.908). Secondhand smoke was associated with an elevated risk of fracture in nonsmokers, independent of clinical risk factors.

Weight change in patients with new-onset type 2 diabetes mellitus and its association with remission: Comprehensive real-world data

AIMS

We aimed to investigate weight change in patients with new-onset type 2 diabetes mellitus and the association of weight loss on diabetes remission in Korean adults.

MATERIALS AND METHODS

We used the health examination database of the Korean National Health Insurance Service. Patients diagnosed with type 2 diabetes mellitus from 2009 to 2012 were enrolled and followed to 2017. The baseline body weight was measured at the health examination closest to the time the patient was enrolled, and the change was calculated by examining the weight measured at the subsequent examination within 2 years. Remission was defined as fasting blood glucose less than 126 mg/dl at two or more consecutive health examinations after stopping medication.

RESULTS

In total, 114, 874 patients with new-onset type 2 diabetes mellitus were analysed. Of these, 23 156 (20.2%) lost more than 5% of their body weight, and 2429 (2.1%) achieved remission. The adjusted odds ratio for remission in the weight loss group was 2.56 (95% confidence interval 2.35-2.79) compared with the group with stable body weight. Sensitivity analysis according to the degree of weight change showed that the greater weight loss, the higher the likelihood of remission. In the subgroup analysis, the effects of weight loss on remission were significantly greater in subgroups of age <65 years, male sex and body mass index >25.

CONCLUSION

Weight loss within the first 2 years of treating type 2 diabetes mellitus was associated with diabetes remission. Physicians should pay more attention to weight management in new-onset type 2 diabetes mellitus, particularly for young and obese individuals.

Smoking Behavior Change and the Risk of Heart Failure in Patients With Type 2 Diabetes: Nationwide Retrospective Cohort Study

BACKGROUND

Heart failure (HF) is one of the most common initial manifestations of cardiovascular disease in patients with type 2 diabetes. Although smoking is an independent risk factor for HF, there is a lack of data for the incidence of HF according to changes in smoking behaviors in patients with type 2 diabetes.

OBJECTIVE

We aimed to examine the association between interval changes in smoking behavior and the risk of HF among patients with type 2 diabetes.

METHODS

We conducted a retrospective cohort study using the National Health Insurance Service database. We identified 365,352 current smokers with type 2 diabetes who had 2 consecutive health screenings (2009-2012) and followed them until December 31, 2018, for the incident HF. Based on smoking behavior changes between 2 consecutive health screenings, participants were categorized into quitter, reducer I (≥50% reduction) and II (<50% reduction), sustainer (reference group), and increaser groups.

RESULTS

During a median follow-up of 5.1 (IQR 4.0-6.1) years, there were 13,879 HF cases (7.8 per 1000 person-years). Compared to sustainers, smoking cessation was associated with lower risks of HF (adjusted hazard ratio [aHR] 0.90, 95% CI0.86-0.95), whereas increasers showed higher risks of HF than sustainers; heavy smokers who increased their level of smoking had a higher risk of HF (aHR 1.13, 95% CI 1.04-1.24). In the case of reducers, the risk of HF was not reduced but rather increased slightly (reducer I: aHR 1.14, 95% CI 1.08-1.21; reducer II: aHR 1.03, 95% CI 0.98-1.09). Consistent results were noted for subgroup analyses including type 2 diabetes severity, age, and sex.

CONCLUSIONS

Smoking cessation was associated with a lower risk of HF among patients with type 2 diabetes, while increasing smoking amount was associated with a higher risk for HF than in those sustaining their smoking amount. There was no benefit from reduction in smoking amount.

Comparison of Laboratory and Non-Laboratory-Based 2019 World Health Organization Cardiovascular Risk Charts in the Bhutanese Population

The World Health Organization (WHO) recommends the use of color-coded cardiovascular disease (CVD) risk charts for CVD management. This study evaluated the agreement between the laboratory and non-laboratory 10-year CVD risks based on 2019 WHO CVD risk-prediction charts. The agreement of CVD risk scores among 40- to 69-year-old Bhutanese population stratified by gender and age groups (<60 and ≥60 years) was determined via weighted kappa statistics. In the general population, there was substantial agreement between the two CVD risk score charts for all ages and <60 years but a moderate agreement for participants aged ≥60 years. In males, substantial agreement was observed in all ages and in <60 years and moderate agreement in ≥60 years. In females, both the predictions showed substantial agreement in all ages and <60, but a moderate agreement for ≥60 years. The non-laboratory-based risk charts can be used interchangeably with laboratory-based charts for predicting 10-year CVD risk in resource-constrained countries like Bhutan.

Gender differences in cigarette smoking cessation attempts among adults who smoke and drink alcohol at high levels: Findings from the 2018-2020 International Tobacco Control Four Country Smoking and Vaping Surveys

BACKGROUND

This study examined the association between alcohol consumption and smoking cessation behaviour of adults who smoke in four countries.

METHODS

Data came from 4275 adults (≥18 years) who smoked tobacco ≥ monthly and participated in the 2018 and 2020 International Tobacco Control Four Country Smoking and Vaping Surveys (Australia: n = 720; Canada: n = 1250; US: n = 1011; England: n = 1294). The 2018 Alcohol Use Disorders Identification Test-Consumption (AUDIT-C) survey data coded into three levels ('never/low', 'moderate' or 'heavy' consumption) were analysed using multivariable logistic regression models to predict any smoking cessation attempts and successful cessation by 2020 survey, and whether this differed by gender and country.

RESULTS

Compared to never/low alcohol consumers, only those who drink heavily were less likely to have made a quit smoking attempt (40.4 % vs. 43.8 %; AOR = 0.69, 95 % CI = 0.57-0.83, p < .001). The association differed by gender and country (3-way interaction, p < .001), with females who drink heavily being less likely to attempt to quit smoking in England (AOR = 0.27, 95 % CI = 0.15-0.49, p < .001) and Australia (AOR = 0.38, 95 % CI = 0.19-0.77, p = .008), but for males, those who drink moderately (AOR = 2.18, 95 % CI = 1.17-4.06, p = .014) or heavily (AOR = 2.61, 95 % CI = 1.45-4.68, p = .001) were more likely to make a quit attempt in England only. Alcohol consumption did not predict quit success.

CONCLUSION

Heavy alcohol use among adults who smoke appears to only undermine the likelihood of trying to quit smoking with some variation by gender and country of residence, but not their chances of succeeding if they tried.

Risk of type 2 diabetes after diagnosed gestational diabetes is enhanced by exposure to PM2.5

BACKGROUND

Air pollution and gestational diabetes mellitus (GDM) are both associated with increased diabetes mellitus (DM) occurrence. However, whether air pollutants modify the effects of GDM on the occurrence of DM has been unknown. This study aims to determine whether the effect of GDM on DM development can be modified by exposure to ambient air pollutants.

METHODS

Women with one singleton birth delivery during 2004-14 according to the Taiwan Birth Certificate Database (TBCD) were included as the study cohort. Those newly diagnosed as having DM 1 year or later after childbirth were identified as DM cases. Controls were selected among women without DM diagnosis during follow-up. Personal residence was geocoded and linked with interpolated concentrations of air pollutants into township levels. Conditional logistic regression was used to determine the odds ratio (OR) of pollutant exposure and GDM, adjusting for age, smoking and meteorological variables.

RESULTS

There were 9846 women who were newly diagnosed as having DM over a mean follow-up period of 10.2 years. We involved them and the 10-fold matching controls involved in our final analysis. The OR (odds ratio) (95% confidence interval, 95% CI) of DM occurrence per interquartile range increased in particulate matter (PM) smaller than or equal to 2.5 µm (PM2.5) and ozone (O3) was 1.31 (1.22-1.41) and 1.20 (1.16-1.25), respectively. The effects of PM exposure on DM development were significantly higher in the GDM group (OR: 2.46, 95% CI: 1.84-3.30) than in the non-GDM group (OR: 1.30, 95% CI: 1.21-1.40).

CONCLUSIONS

Exposure to high levels of PM2.5 and O3 elevates the risk of DM. GDM acted synergistically in DM development with exposure to PM2.5 but not with that to O3.

Smoking behavior change and the risk of pneumonia hospitalization among smokers with diabetes mellitus

Smoking patients with diabetes mellitus (DM) are at greater risk of developing pneumonia. How smoking behavior changes affect the risk of pneumonia hospitalization, however, remains unclear. Therefore, we investigated the association between smoking behavior change and the risk of pneumonia hospitalization in patients with DM. From January 1, 2009 and December 31, 2018, we investigated the association between smoking behavior change and the risk of pneumonia hospitalization in patients with DM. A total of 332,798 adult patients with DM from the Korean National Health Insurance System database who underwent health screening examination between 2009 and 2012, and were smokers at the first health examination were included. During a mean follow-up of 4.89 years, 14,598 (4.39%) incident pneumonia hospitalization cases were identified. Reducers had a slightly increased risk of pneumonia hospitalization (aHR 1.06, 95% CI 1.01-1.10) compared to sustainers. Quitters did not have a significant association with incidence of pneumonia hospitalization. However, increasers had 13% higher risk of pneumonia hospitalization (aHR 1.13, 95% CI 1.07-1.18), regardless of whether initial smoking was light, moderate, or heavy. Our study showed that an increase in smoking intensity was associated with an increased risk of pneumonia hospitalization in people with DM. However, a protective effect of smoking reduction or cessation on pneumonia risk was not demonstrated.

Ecological study on household air pollution exposure and prevalent chronic disease in the elderly

Older people spend most of their time indoors. Limited evidence demonstrates that exposure to indoor air pollutants might be related to chronic complications. This study aimed to estimate the correlation between household air pollution (HAP)'s long-term exposure and the prevalence of elevated hypertension, diabetes mellitus (DM), obesity, and low-density lipoprotein (LDL) cholesterol. From the Global Burden disease dataset, we extracted HAP, hypertension, DM, body mass index, and LDL cholesterol data from Iran from 1990 to 2019 to males and females in people over 50 years. We present APC and AAPC and their confidence intervals using Joinpoint Software statistical software. R software examined the correlation between HAP and hypertension, DM2, Obesity, and high LDL cholesterol. Our finding showed a significant and positive correlation between HAP exposure and prevalence of high low-density lipoprotein cholesterol (p ≤ 0.001, r = 0.70), high systolic blood pressure (p ≤ 0.001, r = 0.63), and high body mass index (p ≤ 0.001, r = 0.57), and DM2 (p ≤ 0.001, r = 0.38). The analysis results also illustrated a positive correlation between indoor air pollution and smoking (p ≤ 0.001, r = 0.92). HAP exposure might be a risk factor for elevated blood pressure, DM, obesity, and LDL cholesterol and, consequently, more serious health problems. According to our results, smoking is one of the sources of HAP. However, ecological studies cannot fully support causal relationships, and this article deals only with Iran. Our findings should be corroborated in personal exposure and biomonitoring approach studies.

Preventive Epigenetic Mechanisms of Functional Foods for Type 2 Diabetes

Type 2 diabetes (T2D) is a growing global health problem that requires new and effective prevention and management strategies. Recent research has highlighted the role of epigenetic changes in the development and progression of T2D, and the potential of functional foods as a complementary therapy for the disease. This review aims to provide an overview of the current state of knowledge on the preventive epigenetic mechanisms of functional foods in T2D. We provide background information on T2D and its current treatment approaches, an explanation of the concept of epigenetics, and an overview of the different functional foods with demonstrated preventive epigenetic effects in T2D. We also discuss the epigenetic mechanisms by which these functional foods prevent or manage T2D, and the studies that have investigated their preventive epigenetic effects. In addition, we revisit works on the beneficial influence of functional foods against the programming and complications of parentally-triggered offspring diabetes. We also suggest, albeit based on scarce data, that epigenetic inheritance mechanistically mediates the impacts of functional nutrition against the metabolic risk of diabetes in offspring. Finally, our review highlights the importance of considering the preventive epigenetic mechanisms of functional foods as a potential avenue for the development of new prevention and management strategies for T2D.

[Impact of smoking on the presence of diabetic cardiomyopathy]

INTRODUCTION

Type 2 diabetes is associated with an increased risk of coronary disease and is the leading cause of morbidity and mortality in this population. The main objective of our work is to study the correlation of left atrial volume index with coronary disease in type 2 diabetics.

MATERIAL AND METHODS

Cross-sectional, analytical, single-center study with prospective recruitment of 330 type 2 diabetic patients carried out at the Constantine Regional Military University Hospital over a period of 03 years (2016-2018) among which 18.8% (62 patients) are smokers. Early cardiac involvement represented by diastolic dysfunction was assessed by two-dimensional transthoracic echocardiography. Data were analyzed using Epi info 7.2.1.0 software to study the impact of smoking on the presence of left ventricular diastolic dysfunction.

RESULTS

The average age of our cohort is 52.7 ± 8.4 years, an average of 7.1 ± 1.3% of glycated hemoglobin, an average of 5.3 ± 4.3 years of diabetes duration, a sex ratio to 1.01. 34.8% of patients had left atrial volume index ≥ 34 ml/m2. The prevalence of coronary disease is 27.0%. In multivariate analysis; left atrial volume index is significantly correlated with coronary stenosis (OR = 1.75, 95% CI [1.60 - 2.05], p = 0.02).

CONCLUSION

The prevalence of cardiomyopathy is high in type 2 diabetes and smoking is significantly correlated with the presence of this diabetic cardiomyopathy.

Changes in total cholesterol level and cardiovascular disease risk among type 2 diabetes patients

Despite many diabetic patients having hypercholesterolemia, the association of total cholesterol (TC) levels with CVD risk in type 2 diabetes (T2D) patients is unclear. Diagnosis of type 2 diabetes often leads to changes in total cholesterol (TC) levels. Thus, we examined whether changes in TC levels from pre- to post-diagnosis of T2D were associated with CVD risk. From the National Health Insurance Service Cohort, 23,821 individuals diagnosed with T2D from 2003 to 2012 were followed-up for non-fatal CVD incidence through 2015. Two measurements of TC, 2 years before and after T2D diagnosis, were classified into 3 levels (low, middle, high) to define changes in cholesterol levels. Cox proportional hazards regression was performed to estimate adjusted hazards ratios (aHRs) and 95% confidence intervals (CIs) for the associations between changes in cholesterol levels and CVD risk. Subgroup analyses were performed by use of lipid-lowering drugs. Compared with low-low, aHR of CVD was 1.31 [1.10-1.56] for low-middle and 1.80 [1.15-2.83] for low-high. Compared with middle-middle, aHR of CVD was 1.10 [0.92-1.31] for middle-high but 0.83 [0.73-0.94] for middle-low. Compared with high-high, aHR of CVD was 0.68 [0.56-0.83] for high-middle and 0.65 [0.49-0.86] for high-low. The associations were observed regardless of use of lipid-lowering drugs. For diabetic patients, management of TC levels may be important to lower CVD risk.

Combination of Multiple Low-Risk Lifestyle Behaviors and Incident Type 2 Diabetes: A Systematic Review and Dose-Response Meta-analysis of Prospective Cohort Studies

OBJECTIVE

Combined low-risk lifestyle behaviors (LRLBs) have been associated with a reduction in type 2 diabetes risk. This relationship has not been systematically quantified.

RESEARCH DESIGN AND METHODS

A systematic review and meta-analysis was conducted to assess the association of combined LRLBs with type 2 diabetes. Databases were searched up to September 2022. Prospective cohort studies reporting the association between a minimum of three combined LRLBs (including healthy diet) with incident type 2 diabetes were included. Independent reviewers extracted data and assessed study quality. Risk estimates of extreme comparisons were pooled using a random-effects model. Global dose-response meta-analysis (DRM) for maximum adherence was estimated using a one-stage linear mixed model. The certainty of the evidence was assessed using GRADE (Grading of Recommendations, Assessment, Development and Evaluations).

RESULTS

Thirty cohort comparisons (n = 1,693,753) involving 75,669 incident type 2 diabetes cases were included. LRLBs, with author-defined ranges, were healthy body weight, healthy diet, regular exercise, smoking abstinence or cessation, and light alcohol consumption. LRLBs were associated with 80% lower risk of type 2 diabetes (relative risk [RR] 0.20; 95% CI 0.17-0.23), comparing the highest with lowest adherence. Global DRM for maximum adherence to all five LRLBs reached 85% protection (RR 0.15; 95% CI 0.12-0.18). The overall certainty of the evidence was graded as high.

CONCLUSIONS

There is a very good indication that a combination of LRLBs that includes maintaining a healthy bodyweight, healthy diet, regular exercise, smoking abstinence or cessation, and light alcohol consumption is associated with a lower risk of incident type 2 diabetes.

Chronic cigarette smoking is associated with increased arterial stiffness in men and women: evidence from a large population-based cohort

BACKGROUND

Cigarette smoking is a threat to global human health and a leading cause of the cardiovascular disease (CVD) morbidity and mortality. Importantly, sex-specific differences in smoking-induced arterial stiffness, an early key event in the development of atherosclerotic CVD, remain still elusive. Thus, this study sought out to investigate sex-specific associations between smoking and measures of arterial stiffness.

METHODS AND RESULTS

Overall, 15,010 participants (7584 men and 7426 women aged 35-74 years) of the Gutenberg Health Study were examined at baseline during 2007-2012. Smoking status, pack-years of smoking, and years since quitting smoking were assessed by a standardized computer-assisted interview. Arterial stiffness and wave reflection were determined by stiffness index (SI) and augmentation index (AI). In the total sample, 45.8% had never smoked, 34.7% were former smokers, and 19.4% were current smokers. Median cumulative smoking exposure was 22.0 pack-years in current male smokers and 16.0 in current female smokers. In general, multivariable linear regression models adjusted for a comprehensive set of confounders revealed that smoking status, pack-years of smoking, and years since quitting smoking were dose-dependently associated with markers of arterial stiffness. In sex-specific analyses, these associations were overall more pronounced in men and SI was stronger related to the male sex, whereas differences between men and women in the case of AI appeared to be less substantial.

DISCUSSION

The present results indicate that chronic smoking is strongly and dose-dependently associated with increased arterial stiffness in a large population-based cohort regardless of sex but with a stronger association in men.

Low-grade inflammation in type 2 diabetes: a cross-sectional study from a Danish diabetes outpatient clinic

OBJECTIVES

To investigate low-grade inflammation in type 2 diabetes and explore associations to clinical aspects as well as microvascular and macrovascular complications.

DESIGN

Cross-sectional analysis.

SETTING

The outpatient diabetes clinic at the Department of Endocrinology at Aalborg University Hospital, Denmark.

PARTICIPANTS

100 participants with type 2 diabetes confirmed by a haemoglobin A1c (HbA1c)≥6.5% for a minimum of 1 year and 21 healthy controls.

OUTCOME MEASURES

Serum levels of 27 inflammation-related biomarkers measured by immunoassay. Associations with microvascular and macrovascular complications, body weight, glycaemic control, medication and sex were investigated in the diabetes cohort.

RESULTS

Serum levels of tumour necrosis factor (TNF)-α and eotaxin were elevated in type 2 diabetes (p<0.05), while interleukin (IL)-7 was decreased (p<0.001). IL-12/IL-23p40, IL-15, macrophage-derived chemokine (MDC) and C reactive protein (CRP) levels were increased with body weight (p<0.05), while eotaxin and TNF-α were increased with elevated HbA1c levels (p<0.04). Dipeptidyl peptidase-4 inhibitor therapy was associated with lower levels of induced protein-10, MDC and thymus and activation regulated chemokine (p<0.02), while females had higher levels of MDC (p=0.027). Individuals with ≥3 diabetic complications had elevated levels of IL-6, IL-10, IL-12/IL-23p40, IL-15 and CRP compared with those with ≤3 (p<0.05).

CONCLUSION

The level of low-grade inflammation in type 2 diabetes is associated with obesity, glycaemic regulation, therapeutical management, sex and complications. Our results underline the importance of addressing inflammatory issues in type 2 diabetes, as these may predispose for crippling comorbidities.

Nonsurgical periodontal treatment improved the type 2 diabetes mellitus status in smokers: A randomized controlled trial

AIM

Type 2 diabetes mellitus (T2D) and periodontal disease have bilateral associations. The effect of periodontal treatment on T2D patients who smoke is scarce. This study aimed to assess the effect of nonsurgical periodontal treatment (NSPT) in periodontitis smokers with T2D for a duration of 6 months of follow-up.

MATERIALS AND METHODS

Forty moderate to severe periodontitis smokers with T2D were randomly distributed into two different treatment groups: the test group (NSPT including oral hygiene instructions, scaling and root planing; and 0.05% Chlorhexidine mouthrinse) and the control group (treatment including oral hygiene instructions, supragingival removal of plaque and calculus and 0.05% Chlorhexidine mouthrinse). Periodontal parameters including plaque index (PI), gingival index (GI), bleeding on probing (BOP), periodontal probing depth (PPD) and clinical attachment loss (CAL) were examined. Metabolic parameters, including fasting plasma glucose (FPG) and glycated hemoglobin (HbA1c), and high-sensitivity C-reactive protein (hs-CRP) were evaluated at baseline and at 1, 3, and 6 months of follow-up.

RESULTS

The test group significantly improved all periodontal parameters and reduced metabolic parameters and hs-CRP, whereas improvements in PI and GI were observed in the control group at 1, 3 and 6 months of follow-up. However, the PPD, CAL, metabolic parameters and hs-CRP increased in the control group at 3 and 6 months of follow-up, but the differences were not significant.

CONCLUSIONS

NSPT improves the periodontal status of smokers with T2D, has a favorable effect on glycemic control and reduces pro-inflammatory mediators, which may limit complications due to T2D in these patients.

Determinants of Type 2 Diabetes Mellitus Among Adults in Dill-Chora Referral Hospital, Dire Dawa, East Ethiopia

Introduction

Ethiopia has been exhibiting trends that are shifting the populace's way of life toward urbanization. As a result, the country's primary focus is on treating infectious diseases, whereas chronic noncommunicable diseases receive less attention. Type 2 diabetes has emerged as a major noncommunicable disease that is endangering African nations' economic, social, and cultural underpinnings. There has been research mostly on prevalence, factors associated, and glycemic control of diabetes but not adequate on the causes of T2DM in Ethiopia, particularly in the study region.

Objective

To identify the determinants of type 2 diabetes mellitus among adults at Dill-Chora hospital, from August 30 to October 30, 2021.

Methods

An unmatched case-control study was carried out at Dill-Chora referral hospital using face-to-face interviews. The data was collected, cleaned, coded, and entered to epi data version 3.1 before being exported to SPSS version 23 for analysis. The analyses used were descriptive and logistic regression.

Results

The study included 331 individuals, 113 cases and 218 controls. Cigarette smoking (AOR: 3.15, 95% CI: 1.24-7.96), extra salt consumption (AOR: 5.52, 95% CI: 2.33-13.05), low fruit consumption (AOR: 5.28, 95% CI: 2.12-13.16), infrequent physical activity (AOR: 3.72, 95% CI: 1.65-8.39), waist to hip ratio (AOR: 18.88, 95% CI: 7.35-48.42), and triglyceride level (AOR: 2.93, 95% CI: 1.34-6.32) were strongly linked to the onset of type 2 diabetes mellitus.

Conclusion and Recommendation

This study discovered a variety of risk factors for type 2 diabetes, including triglyceride levels, fruit consumption, smoking, increased salt consumption, irregular exercise, and waist to hip ratio. By focusing preventative efforts on these risk factors, the occurrence of type 2 diabetes may be reduced. Furthermore, diabetes mellitus screening is crucial, particularly in those with a high waist-to-hip ratio, a smoking history, and high triglyceride levels.

Effects of Smoking on the Gut Microbiota in Individuals with Type 2 Diabetes Mellitus

Smoking affects eating habits; however, few studies on smoking and the gut microbiota have reported the effects of diet in detail. This cross-sectional study aimed to determine the association between smoking and the gut microbiota, considering the impact of smoking on dietary intake. Dietary habits and the composition of the gut microbiota were assessed in 195 men with type 2 diabetes (164 non-current smokers and 31 current smokers) using a brief self-administered diet history questionnaire and 16S ribosomal RNA gene sequencing of fecal samples. The data were compared according to the current smoking status of the participants. Current smokers had high alcohol and sugar/sweetener intake and low fruit intake. The proportion of the Coprococcus genus was higher among current smokers. Multiple regression analysis adjusted for current smoking, age, exercise habits, alcohol intake, sugar and sweetener intake, and fruit intake showed that smoking was associated with the proportion of the Coprococcus genus. Current smoking was associated with both dietary intake and composition of the gut microbiota. Although dietary intake should be considered when investigating the association between smoking and the gut microbiota, the results suggest that the direct effect of smoking is more significant.

Identification of the risk factors of type 2 diabetes and its prediction using machine learning techniques

This study identified the risk factors for type 2 diabetes (T2D) and proposed a machine learning (ML) technique for predicting T2D. The risk factors for T2D were identified by multiple logistic regression (MLR) using p-value (p<0.05). Then, five ML-based techniques, including logistic regression, naïve Bayes, J48, multilayer perceptron, and random forest (RF) were employed to predict T2D. This study utilized two publicly available datasets, derived from the National Health and Nutrition Examination Survey, 2009-2010 and 2011-2012. About 4922 respondents with 387 T2D patients were included in 2009-2010 dataset, whereas 4936 respondents with 373 T2D patients were included in 2011-2012. This study identified six risk factors (age, education, marital status, SBP, smoking, and BMI) for 2009-2010 and nine risk factors (age, race, marital status, SBP, DBP, direct cholesterol, physical activity, smoking, and BMI) for 2011-2012. RF-based classifier obtained 95.9% accuracy, 95.7% sensitivity, 95.3% F-measure, and 0.946 area under the curve.

Prenatal Effects of Nicotine on Obesity Risks: A Narrative Review

Nicotine usage by mothers throughout pregnancy has been observed to relate to numerous deleterious effects in children, especially relating to obesity. Children who have prenatally been exposed to nicotine tend to have lower birth weights, with an elevated risk of becoming overweight throughout development and into their adolescent and adult life. There are numerous theories as to how this occurs: catch-up growth theory, thrifty phenotype theory, neurotransmitter or endocrine imbalances theory, and a more recent examination on the genetic factors relating to obesity risk. In addition to the negative effect on bodyweight and BMI, individuals with obesity may also suffer from numerous comorbidities involving metabolic disease. These may include type 1 and 2 diabetes, high cholesterol levels, and liver disease. Predisposition for obesity with nicotine usage may also be associated with genetic risk alleles for obesity, such as the DRD2 A1 variant. This is important for prenatally nicotine-exposed individuals as an opportunity to provide early prevention and intervention of obesity-related risks.

Combined Effect of Smoking and Fatty Liver Disease on the Progression of Type 2 Diabetes: Insights from a Population-Based Cohort Study

Objectives

Fatty liver disease (FLD) is strongly linked to the occurrence of type 2 diabetes mellitus (T2DM). Insulin resistance (IR) is linked to smoking. Our study's purpose was to see how smoking and fatty liver accompanied affected the development of T2DM in the past.

Materials and Methods

We collected data from 15,464 Japanese adults aged 18 to 79 years who took part in the NAGALA research, and our team utilized a Cox proportion risk model to look at the combination effect of FLD and smoking status on the incidence of T2DM. Participants were separated into three categories: nonsmokers, ex-smokers, and current smokers. An abdominal ultrasound was used to diagnose FLD.

Results

384 subjects had T2DM after a median follow-up of 5.4 years. In comparison to the other groups, current FLD smokers had a greater chance of developing T2DM. Ex-smokers and present FLD smokers, on the other hand, had no significant difference in their likelihood of acquiring T2DM. When compared to ex-smokers and nonsmokers without FLD, current smokers with FLD had a considerably greater chance of acquiring T2DM. Furthermore, the risk of T2DM among nonsmokers, ex-smokers with FLD, and current smokers without FLD was not statistically significant.

Conclusions

In order to prevent the progression of T2DM, we should recognize that smoking status may vary in FLD.

Effects of Smoking on Outcomes of Anti-Vascular Endothelial Growth Factor Therapy in Patients with Diabetic Macular Edema: A Retrospective Case-Control Study

PURPOSE

To determine the effect of smoking on the response to anti-vascular endothelial growth factor (anti-VEGF) therapy treatment in patients with diabetic macular edema (DME).

METHODS

This is a retrospective case - control study that included 60 eyes with DME. Smoking habits were obtained from hospital records and patient recall. Patients were divided into two groups: the ever-smoker group and the never-smoker group. All patients received Intravitreal ranibizumab with three loading doses followed by PRN protocol and all were followed up for at least 1 year. Outcome measures were best-corrected visual acuity (BCVA), central retinal thickness (CRT) at the fovea, and number of visits.

RESULTS

Smoking was not associated with worse posttreatment visual acuity and was not found to influence the change in ocular coherence tomography measurement of central macular thickness and the change in BCVA (posttreatment minus pretreatment). There were no statistically significant differences in the duration of treatment or number of visits between two groups of patients the ever-smoker group and the never-smoker group (P > 0.05).

CONCLUSION

In this study, smoking status did not influence the treatment outcome of anti-VEGFs; however, smoking should be encouraged due to its well-known other systemic unwanted effects.

Previously unrecognized risk factors for severe hypoglycaemia requiring emergency medical care in insulin-treated type 2 diabetes: Results from a real-world nested case-control study

AIM

Several risk factors for severe hypoglycaemia (SH) are associated with insulin-treated diabetes. This study explored potential risk factors in adults with insulin-treated type 2 diabetes mellitus (T2DM).

MATERIALS AND METHODS

In this case-control study, adults with T2DM initiating insulin were identified in the IQVIA PharMetrics® Plus database. The index date was the date of the first SH event (cases). Using incidence-density sampling, controls were selected from those who had been exposed 'at risk' of SH for the same amount of time as each case. After exact-matching on the well-established factors, previously unreported risk factors were evaluated through conditional logistic regression.

RESULTS

In 3153 case-control pairs, pregnancy [odds ratios (OR) = 3.20, p = .0003], alcohol abuse (OR = 2.43, p < .0001), short-/rapid-acting insulin (OR = 2.22/1.47, p < .0001), cancer (OR = 1.87, p < .0001), dementia/Alzheimer's disease (OR = 1.73, p = .0175), peripheral vascular disease (OR = 1.59, p < .0001), antipsychotics (OR = 1.59; p = .0059), anxiolytics (OR = 1.51, p = .0012), paralysis/hemiplegia/paraplegia (OR = 1.51, p = .0416), hepatitis (OR = 1.50, p = .0303), congestive heart failure (OR = 1.47, p = .0002), adrenergic-corticosteroid combinations (OR = 1.45, p = .0165), β-adrenoceptor agonists (OR = 1.40, p = .0225), opioids (OR = 1.38, p < .0001), corticosteroids (OR = 1.35, p = .0159), cardiac arrhythmia (OR = 1.29. p = .0065), smoking (OR = 1.28, p = .005), Charlson Comorbidity Index score 2 (OR = 1.28, p = .0026), 3 (OR = 1.41, p = .0016) or ≥4 (OR = 1.57, p = .0002), liver/gallbladder/pancreatic disease (OR = 1.26, p = .0182) and hypertension (OR = 1.19, p = .0164) were independently associated with SH.

CONCLUSIONS

Although all people with insulin-treated diabetes are at risk of SH, these results have identified some previously unrecognized risk factors and sub-groups of insulin-treated adults with T2DM at greater risk. Scrutiny of current therapies and comorbidities are advised as well as additional glucose monitoring and education, when identifying and managing SH in vulnerable populations.

Smoking has disruptive effects on the small bowel luminal microbiome

Tobacco use is the leading preventable cause of cancer, and affects the respiratory, oral, fecal, and duodenal mucosa-associated microbiota. However, the effects of smoking on the duodenal luminal microbiome have not been studied directly. We aimed to compare the duodenal luminal microbiome in never-smokers, current smokers, and ex-smokers who quit ≥ 10 years ago. In a cross-sectional study, current smokers (CS, n = 24) were identified and matched to never-smokers (NS, n = 27) and ex-smokers (XS, n = 27) by age (± 5 years), body mass index (BMI, ± 3 kg/m²), and sex. Current antibiotic users were excluded. The duodenal luminal microbiome was analysed in 1 aspirate sample per subject by 16S rRNA gene sequencing. Relative abundances (RA) of families associated with increased duodenal microbial diversity, Prevotellaceae, Neisseriaceae, and Porphyromonadaceae, were significantly lower in CS vs. NS. This was driven by lower RA of unknown Prevotella and Porphyromonas species, and Neisseria subflava and N. cinerea, in CS. In contrast, RA of Enterobacteriaceae and Lactobacillaceae (associated with decreased diversity), were significantly higher in CS, due to higher RA of Escherichia-Shigella, Klebsiella and Lactobacillus species. Many of these changes were absent or less pronounced in XS, who exhibited a duodenal luminal microbiome more similar to NS. RA of taxa previously found to be increased in the oral and respiratory microbiota of smokers were also higher in the duodenal luminal microbiome, including Bulledia extructa and an unknown Filifactor species. In conclusion, smoking is associated with an altered duodenal luminal microbiome. However, ex-smokers have a duodenal luminal microbiome that is similar to never-smokers.

Trends in risk factors and management strategies used by people with type 2 diabetes in New South Wales, Australia

Adopting healthy lifestyle behaviours is an important component of Type 2 diabetes (T2D) self-management, which can lower risks of further health complications. Monitoring lifestyle risk factors including overweight or obesity, healthy diet and physical activity behaviours, alcohol consumption, smoking and psychological distress remain important. This study examined prevalence trends in these factors and adoption of three diabetes lifestyle self-management strategies in adults (aged 40+) with T2D in New South Wales (NSW), Australia. Analyses were conducted on NSW Adult Population Health Survey data, 2004-2019 (n = 142,168), using predicted probabilities from generalised linear models, weighted to population estimates. Throughout the study period overweight or obesity prevalence remained higher amongst those with T2D (83.1% to 81.7%) compared to those without diabetes (61.0 to 61.2%); only 8.9% of those with T2D were trying to lose weight. During the study period, there were declines in the proportions of those with T2D reporting sufficient fruit consumption [63.9% to 50.1%], moderate vegetable consumption (3 serves) [49.0% to 37.7%], and achieving sufficient physical activity [40.0% to 34.0%]. There were also declines in those reporting they manage their diabetes through following a special diet [73.6% to 55.9%] and exercising most days [33.5% to 22.2%]. This study highlights potential gaps in T2D secondary prevention and suggests more targeted diabetes education services are needed to address lifestyle risks. Increased understanding of why fewer people with T2D adopt these lifestyle management strategies is needed to inform policy and practice.

The Impact of Hypoglycemia on Patients with Diabetes Mellitus: A Cross-Sectional Analysis

The increasing mortality and morbidity in patients with diabetes mellitus constitute a severe public health problem. The condition is recognized as a cause of impaired quality of life, high costs, and diminished productivity. In this study, we performed a cross-sectional analysis among 300 Polish participants with type 1 and type 2 diabetes to determine and classify risk factors associated with increased incidences of hypoglycemia. Including an open-access knowledge about the correlations between diabetes rates and human’s lifestyle, we confirm that the frequency of smoking and drinking alcohol, low BMI, inappropriate diet, low physical activity, lack of vaccination against influenza and pneumococci, and co-existence of other comorbidities such as cardiovascular diseases, thyroid diseases, hyperlipidemia, retinopathy, and asthma elevate the risk of hypoglycemia. Furthermore, hypoglycemic patients were more often malnourished, depressed, irritated, and exposed to stress. In sum, the analysis of the interaction between diabetes and sociodemographic, environmental, or other disease-related risk factors provides strategies to optimize glycemic control and reduce the incidence of hypoglycemia. Furthermore, we believe our findings may constitute a basis for promoting health by adjusting available and implementing new preventive services reducing hypoglycemic episodes in diabetic patients.

The many faces of diabetes. Is there a need for re-classification? A narrative review

The alarming rise in the worldwide prevalence of obesity and associated type 2 diabetes mellitus (T2DM) have reached epidemic portions. Diabetes in its many forms and T2DM have different physiological backgrounds and are difficult to classify. Bariatric surgery (BS) is considered the most effective treatment for obesity in terms of weight loss and comorbidity resolution, improves diabetes, and has been proven superior to medical management for the treatment of diabetes. The term metabolic surgery (MS) describes bariatric surgical procedures used primarily to treat T2DM and related metabolic conditions. MS is the most effective means of obtaining substantial and durable weight loss in individuals with obesity. Originally, BS was used as an alternative weight-loss therapy for patients with severe obesity, but clinical data revealed its metabolic benefits in patients with T2DM. MS is more effective than lifestyle or medical management in achieving glycaemic control, sustained weight loss, and reducing diabetes comorbidities. New guidelines for T2DM expand the use of MS to patients with a lower body mass index.Evidence has shown that endocrine changes resulting from BS translate into metabolic benefits that improve the comorbid conditions associated with obesity, such as hypertension, dyslipidemia, and T2DM. Other changes include bacterial flora rearrangement, bile acids secretion, and adipose tissue effect.This review aims to examine the physiological mechanisms in diabetes, risks for complications, the effects of bariatric and metabolic surgery and will shed light on whether diabetes should be reclassified.

Protein Intake Among Patients with Insulin-Treated Diabetes is Linked to Poor Glycemic Control: Findings of NHANES Data

BACKGROUND

Nutrition therapy is considered a key component of diabetes management. Recently, high-protein diets have gained in popularity. Understanding the glycemic effect of dietary protein among patients with diabetes has been of particular interest.

METHODS

This study is based on NHANES data of 990 participants aged 40 years and older from the NHANES cohorts of 2011-2012 and 2013-2014 surveys. Glycosylated hemoglobin (HbA1c level) was used as indicator of glycemic control. Patients were categorized into quartiles for daily protein intake. Average protein intakes for patients in quartile 1 to quartile 4 were 35.5 g, 58.7 g, 79.9 g, and 131.6 g, respectively. Covariates included in the analysis were gender, age, race, caloric intake, muscle strength, education, income, smoking, sedentary lifestyle, alcohol consumption, and BMI.

RESULTS

After controlling for covariates, patients in quartile 4 of protein intake had 261% increased risk of poor glycemic control compared with those in quartile 1 (95% CI: 1.29-5.30). The association was not attenuated after further control for insulin use (OR = 1.94; 95% CI: 0.89-4.24). In conclusion, higher protein intake seems related to a worse glycemic control in diabetic subjects.

Association of Mixed Use of Electronic and Conventional Cigarettes and Exposure to Secondhand Smoke With Prediabetes

CONTEXT

Despite previous studies regarding the association between smoking and diabetes, the effects of electronic cigarettes and secondhand smoke (SHS) on glucose metabolism and insulin sensitivity have not been fully elucidated.

OBJECTIVE

To examine the association of mixed electronic and conventional cigarette use and exposure to SHS with prediabetes.

DESIGN

Data from the 2014-2018 Korean National Health and Nutrition Examination Survey were analyzed.

SETTING

Nationwide population-based.

PARTICIPANTS

Of 39 199 participants, 22 385 participants (9490 men, 12 895 women) without diabetes were included. The main independent variables were smoking behaviors, including exposure to SHS.

INTERVENTIONS

None.

MAIN OUTCOME MEASURES

Prediabetes (hemoglobin A1C of 5.7-6.4%).

RESULTS

Of 22 385 participants without diabetes, 6735 had prediabetes. Mixed cigarette use was associated with a 1.57-fold increase in the odds of prediabetes when compared with never-smoking [odds ratio (OR) = 1.57, 95% CI = 1.29-1.92] and a 1.27-fold increase when compared with conventional cigarette use only (OR = 1.27, 95% CI = 1.07-1.52). Participants who were current nonsmokers, but mixed users in the past had an increased risk of prediabetes (OR = 1.54, 95% CI = 1.04-2.13). There was no significant association between prediabetes and current nonsmoking in individuals with previous conventional cigarette use only. Among never-smokers, exposure to SHS significantly increased the risk of prediabetes (OR = 1.16, 95% CI = 1.04-1.30).

CONCLUSIONS

Mixed use of electronic and conventional cigarettes and exposure to SHS increased the risk of prediabetes. Further studies are required to comprehensively investigate the molecular biology underlying the effects of previous and current mixed use of electronic cigarettes and SHS on glucose metabolism.

Evaluation of salivary alkaline phosphatase and glutathione peroxidase levels in diabetic and nondiabetic participants with and without smoking habits: A case–control study

Background:

The majority of the current evidence suggests that tobacco smoking increases the risk of diabetes. Salivary alkaline phosphatase (ALP) and glutathione peroxidase (GSHPx) considered a biomarker to detect various oral diseases. Several studies suggest that smoking habits tend to alter ALP and GSHPx levels. However, at present, there is no much information about these enzymes in smokers with diabetes. Hence, the study aimed to evaluate the status of salivary ALP and GSHPx levels in diabetic and nondiabetic participants with and without smoking habits.

Materials and Methods:

This case–control study was approved by the Institutional Ethical Committee. A total of 60 male participants between the age group 35–50 years were recruited. Informed consent was obtained from participants. Participants were categorized into four groups: Group I – Smokers with diabetes (n = 15), Group II – Smokers without diabetes (n = 15), Group III – Nonsmoker with diabetes (n = 15), and Group IV – Nonsmoker without diabetes (n = 15). Salivary ALP levels and GSHPx activity were measured by colorimetric assay. Data were compared between groups using the one-way analysis of variance, followed by a Bonferroni post-hoc test.

Results:

Nonsmoker diabetic participants demonstrated significantly higher ALP levels as compared to other groups (P < 0.05). We observed significantly lower levels of ALP in smokers with diabetes (P < 0.05). We observed a significant decrease in GSHPx activity in smokers with diabetes compared to all other groups (P < 0.05).

Conclusions:

Salivary ALP can be used as a clinical biomarker to be correlated for evaluating diabetes. GSHPx activity can be used to understand the response of supplementation therapy in smokers with diabetes.

Are There Global Syndemics?

In this article, we address the nature of syndemics and whether, as some have asserted, these epidemiological phenomena are global configurations. Our argument that syndemics are not global rests on recognition that they are composed of social/environment contexts, disease clusters, demographics, and biologies that vary across locations. These points are illustrated with the cases of syndemics involving COVID-19, diabetes mellitus, and HIV/AIDS. We draw on theoretical discourse from epidemiology, biology, and anthropology to present what we believe is a more accurate framework for thinking about syndemics with shared elements.

Diabetes, cigarette smoking and transcription factor 7-like 2 (Tcf7L2) in the UK Biobank cohort

Background —

Smokers are 30 to 40 percent more likely to develop type 2 diabetes than non-smokers. A type 2 diabetes gene, Tcf7L2, which had lost activity, caused rats to consume more nicotine. In the present study, we used data from the UK Biobank to examine the relationship of smoking, type 2 diabetes, and Tcf7L2 in human subjects.

Methods —

The Tcf7L2 gene has two SNPs, rs7903146 and rs4506565, reported to be associated with type 2 diabetes. They have approximately equal power to estimate risk for type 2 diabetes, and the results from one correlate 92% with the other. We examined the genotypes of these SNPs and cigarette consumption.

Results —

Genotype TT, linked to type 2 diabetes, smoked the least. But because of the large sample size (approximately 111,000 subjects) the tiny difference in cigarettes smoked daily by each genotype group (effect size), while statistically significant, is probably clinically meaningless. The average subject smoked 19 cigarettes daily, with a difference of 0.12 cigarette between each genotype group.

Conclusion —

The fact that Tcf7L2 is involved in nicotine addiction in rats but not in humans, as UKBB data suggest, is hardly surprising. Humans and rodents descended from a common ancestor about 80 million years ago, with rats and mice diverging between 12 and 24 million years ago. Thus, over millions of years Tcf7L2 may have developed vastly different functions in rodents and humans. Genome Wide Association Studies have revealed at least 65 different loci linked to type 2 diabetes. Genes associated with type 2 diabetes include Tcf7L2, PPARG, FTO, KCNJ11, NOTCH2, WFS1, IGF2BP2, SLC30A8, JAZF1, HHEX, DGKB, CDKN2A, CDKN2B, KCNQ1, HNF1A, HNF1B MC4R, GIPR, HNF4A, MTNR1B, PARG6, ZBED3, SLC30A8, CDKAL1, GLIS3, GCK, GCKR, among others. Perhaps one or more of these genes might be the intermediary between type 2 diabetes and cigarette smoking. Further studies are warranted.

Validation of in vitro models for smoke exposure of primary human bronchial epithelial cells

RATIONALE

The bronchial epithelium is constantly challenged by inhalative insults including cigarette smoke (CS), a key risk factor for lung disease. In vitro exposure of bronchial epithelial cells using CS extract (CSE) is a widespread alternative to whole CS (wCS) exposure. However, CSE exposure protocols vary considerably between studies, precluding direct comparison of applied doses. Moreover, they are rarely validated in terms of physiological response in vivo and the relevance of the findings is often unclear.

METHODS

We tested six different exposure settings in primary human bronchial epithelial cells (phBECs), including five CSE protocols in comparison with wCS exposure. We quantified cell-delivered dose and directly compared all exposures using expression analysis of 10 well-established smoke-induced genes in bronchial epithelial cells. CSE exposure of phBECs was varied in terms of differentiation state, exposure route, duration of exposure, and dose. Gene expression was assessed by quantitative Real-Time PCR (qPCR) and Western Blot analysis. Cell type-specific expression of smoke-induced genes was analyzed by immunofluorescent analysis.

RESULTS

Three surprisingly dissimilar exposure types, namely chronic CSE treatment of differentiating phBECs, acute CSE treatment of submerged basal phBECs, and wCS exposure of differentiated phBECs performed best, resulting in significant upregulation of seven (chronic CSE) and six (acute wCS, acute submerged CSE exposure) out of 10 genes. Acute apical or basolateral exposure of differentiated phBECs with CSE was much less effective despite similar doses used.

CONCLUSIONS

Our findings provide guidance for the design of human in vitro CS exposure models in experimental and translational lung research.

Assessing diabetes mellitus knowledge among Syrian medical students: A cross-sectional study

Background

Diabetes mellitus is the fastest growing global health emergency of the 21st century. The Middle East and North Africa region have the highest prevalence of diabetes in the world. Since medical students are the pillars of future healthcare systems, their knowledge of the disease must be evaluated, updated, and enhanced appropriately.

Methods

A cross-sectional study was conducted at the Syrian Private University (SPU) in November 2019 on World Diabetes Day in Damascus, during the Syrian war crisis. Data were collected through self-administered questionnaires and analyzed using the Statistical Package for Social Sciences version 25.0 (SPSS Inc., United States).

Results

Of the 275 students, 74 (26.9%) were preclinical students and 201 (73%) were clinical students with a mean age of 21.9 (±3.70) years. 67 (25.0%) are overweight, and 26 (9.7%) are obese. Students revealed a good level of knowledge regarding clinical features, risk factors, and complications; however, a lack of knowledge was noticed in the general information and the diagnostic criteria section. Clinical year students (4th, 5th, 6th) demonstrated higher levels of awareness compared to students in pre-clinical years (1st, 2nd, 3rd).

Conclusions

Knowledge and awareness of medical students about diabetes mellitus were found to have some gaps. Health education efforts are required to reinforce its identification and management at all levels, while also encouraging lifestyle modifications among our students.