This systematic review analyzes the effects of smoking cessation on oral health outcomes in individuals with type 2 diabetes.

The review followed PRISMA guidelines, and the protocol was registered on PROSPERO (CRD42024604271). Risk of bias was assessed using the Joanna Briggs Institute's critical appraisal tools.

PubMed, Scopus, and Web of Science were searched on November 7, 2024, alongside references from highly cited journals and conference proceedings. No language or date restrictions were applied.

Inclusion criteria were human clinical studies (randomized controlled trials, cohort, case-control, or cross-sectional studies) involving patients with type 2 diabetes, stratified by smoking status (former, current, never smokers), assessing oral health outcomes (e.g., periodontal disease, caries). Studies without detailed smoking status data were excluded.

The search retrieved 549 studies, of which 4 (N = 926 participants) met the inclusion criteria. These studies examined smoking status in relation to periodontitis progression and response to periodontal therapy. Overall, the effects smoking cessation in improving periodontal outcomes in this population appears limited. However, methodological limitations were identified, and the studies may have been underpowered for the smoking status subgroup.

Evidence on the impact of smoking cessation on oral health in patients with type 2 diabetes remains inconclusive, as large prospective studies specifically designed for this purpose are lacking. While smoking cessation benefits oral health in the general population, its effects on oral outcomes in patients with diabetes remain unclear. Further research is needed to elucidate its impact on patients with type 2 diabetes.

A multidisciplinary approach to managing diabetic patients is essential, where dentists not only address oral health but also support healthy behaviors, including smoking cessation, to improve overall diabetes-related complications.

Multiple studies have shown that genetic polymorphism in the MTHFR gene is associated with susceptibility to type 2 diabetes mellitus (T2DM), but the results remain controversial. This study was divided into two parts. The first part was to explore the relationship between the SNPs of MTHFR gene (C677T and A1298C) and genetic susceptibility to T2DM. Second, a meta-analysis was performed to evaluate the association between C677T gene and T2DM.

A case-control study was conducted to assess the association of MTHFR polymorphisms with T2DM risk. A meta-analysis including 7 studies was conducted by using Stata 17.0 software.

In case-control study at the C677T (rs1801133), we found that compared with the AA genotype, GG + GA genotype was associated with an increased risk of T2DM (OR = 1.605; 95% CI: 1.229-2.095; p = 0.001); compared with the GG/GA genotype, AA genotype was associated with a decreased risk of T2DM (OR = 0.620; 95% CI: 0.450-0.855; p = 0.004; OR = 0.625; 95% CI: 0.470-0.830; p = 0.001). After adjusting for age, gender, and BMI statistical differences persisted. In case-control study at the A1298C (rs1801131), there was no significant association in all genetic models after adjusting for age, gender, and BMI. In the overall meta-analysis of the C677T gene, significant heterogeneity was detected in the recessive model (I2 = 89.84%, p < 0.01) and allele model (I2 = 88.38%, p < 0.01). Subgroup analysis showed that there was a significant association in the recessive model (I2 = 76.52%, p < 0.01; OR = 2.27, 95% CI: 1.16-4.44) under random-effects models in Asians.

The results suggest that the C677T polymorphism might have ethnicity-dependent effects in T2DM and may be associated with susceptibility to T2DM in Asians.

The prevalence and incidence of diabetes in pediatrics have dramatically increased over the last three decades. Comparatively, pediatric diabetes has faster pancreatic β-cells decline and early progression to complications compared with adult diabetes. Therefore, diabetic complications are a major concern in children and adolescents with diabetes. Diabetes has detrimental effects on the macro- and microvascular systems, resulting in cardiovascular diseases, leading causes of morbidity and mortality in youth with diabetes. Oxidative stress plays a critical role in developing cardiovascular complications in the context of pediatric diabetes. In pediatric patients with diabetes, several factors can contribute to the development of excess reactive oxygen species and oxidative stress, including nutritional deficiencies, puberty, environmental exposures, and metabolic disorders such as obesity and high blood pressure. The present study aims to raise awareness of diabetic cardiovascular complications in children and adolescents with diabetes and the role of oxidative stress and their molecular mechanisms in the pathogenesis of cardiovascular complications. In addition, some novel therapeutic strategies for the treatment and prevention of diabetic cardiovascular complications in the pediatric populations are highlighted. In summary, children and adolescents with diabetes no matter type 1 diabetes (T1D) or type 1 diabetes (T2D), have many features similar to those in adults with same kinds of diabetes, but also have many their own features distinct from adults. By developing targeted therapies and preventive measures, healthcare providers can better address the rising incidence of diabetes-related complications in children and adolescents.

Cigarette smoking and diabetes mellitus (DM) increase risks of cardiovascular diseases and all-cause mortality in cancer survivors. An increased risk of DM incidence in cancer survivors has been observed and smoking is an important modifiable risk factor for DM development in the general population. Thus, we investigated the association between smoking behavior change after cancer diagnosis and DM incidence in cancer survivors.

This retrospective cohort study using the Korean National Health Insurance System database included patients with newly diagnosed cancers between 2010 and 2016. Smoking behavior changes after cancer diagnosis were categorized as never smoker, ex-smoker, quitter, smoking starter, and persistent smoker. The associations between smoking behavior changes and DM incidence in overall and specific cancers were investigated using Cox regression analyses.

Of the 263,940 cancer survivors, 67.6 % were never smokers, 16.0 % were ex-smokers, 9.3 % were quitters, 1.0 % were smoking starters, and 6.2 % were persistent smokers. During a mean follow-up of 4.0 years, 12,175 patients were diagnosed with DM after cancer development. Compared to the never smokers, the adjusted hazard ratios (95 % confidential interval) of DM incidence were 1.06 (1.00-1.13) for ex-smokers, 1.45 (1.35-1.54) for quitters, 1.46 (1.25-1.71) for starters, and 1.57 (1.45-1.69) for persistent smokers.

Compared with never smokers, cancer survivors who engaged smoking at any point before or after cancer diagnosis showed an increased risk of DM incidence after cancer diagnosis. Cancer survivors should be advised to quit smoking promptly and to maintain abstinence throughout cancer survivorship.

To determine the impact of PM2.5 exposure in old age and its interactive effect with smoking on incident diabetes.

A total of 2766 participants aged ≥60 years in China were interviewed at baseline for disease risk factors in 2001-03 and were then followed up for 10 years to document incident diabetes. They were assessed for daily PM2.5 exposure in 2005. Multivariate Cox regression models were used to examine the association of PM2.5 exposure with incident diabetes and interactive effect between PM2.5 and smoking on incident diabetes.

During the cohort follow-up, 176 participants developed diabetes. The incidence of diabetes increased with PM2.5 exposure; the multiple-adjusted hazard ratio (HR) of diabetes was 2.27 (95 % CI 1.36-3.77) in participants with PM2.5 at ≥62.0 μg/m3 compared to those at <62.0 μg/m3. There was a significant interaction effect of PM2.5 with smoking on increased risk of diabetes. The adjusted HR for participants exposed to PM2.5 levels ≥62.0 μg/m3 who smoked was 4.39 (95 % CI 1.72-11.21), while for non-smokers it was 1.65 (95 % CI 0.88-3.09), compared to those at <62.0 μg/m3.

Exposure to PM2.5 in old age was associated with an increased incidence of diabetes and smoking enhanced the impact of PM2.5 on diabetic risk. These findings underscore the urgent need for air quality improvement measures and smoking cessation programs to mitigate the risk of diabetes in aging populations.

Type 2 Diabetes Mellitus (T2DM) and leukemia are two major global health concerns, both contributing significantly to morbidity and mortality. Epidemiological evidence demonstrates a strong correlation between T2DM and an increased risk of leukemia, particularly driven by insulin resistance, hyperglycemia, and the resultant metabolic dysregulation. Key shared risk factors, including obesity and chronic inflammation, create a conducive environment for leukemogenesis, intensifying cancer cell proliferation and resistance to standard therapies. Insulin resistance, in particular, triggers oncogenic pathways such as PI3K/AKT and MAPK, exacerbating the aggressive phenotype seen in leukemia patients with T2DM. Additionally, clonal hematopoiesis of indeterminate potential (CHIP) is implicated in the higher leukemia risk observed in diabetic populations, especially among the elderly. Molecular mechanisms like the insulin-like growth factor (IGF) system further highlight the intricate link between these diseases, promoting survival and proliferation of leukemia cells. The coexistence of T2DM in leukemia patients is associated with poorer prognostic outcomes, including increased susceptibility to infections, reduced survival, and greater treatment resistance. Antidiabetic agents, notably metformin and pioglitazone, show promise in enhancing chemotherapy efficacy and improving patient outcomes by targeting metabolic pathways. These results highlight the need for comprehensive treatment approaches that target both metabolic abnormalities and cancer-related mechanisms in patients suffering from both T2DM and leukemia.

The objective was to explore the effect modification of zinc (Zn) intake levels on the relationship of tobacco smoke exposure and risk of metabolic syndrome (MetS) in children and adolescents. We used data from 2007-2018 National Health and Nutrition Examination Survey (N = 3701). MetS was considered as main endpoint. Weighted multivariable logistic regression models showed that high cotinine level (≥ 0.05 ng/mL) was associated with increased odds of MetS [odds ratio = 1.54, 95% confidence interval: 1.01, 2.36], and the association between Zn intake levels and MetS did not demonstrate statistical significance. Importantly, the multiplicative interaction term between low Zn intake (≤ 4.89 mg/1000 kcal) and high cotinine level was related to higher odds of MetS (p-value for interaction 0.018). For the group with low Zn intake, high cotinine level was associated with increased odds of MetS. However, there was no significant relationship between cotinine levels and MetS risk in the group with high Zn intake. The effect modification by Zn intake on the relationship of tobacco smoke exposure and risk of MetS is significant in individuals who had a sedentary time of ≥ 6 h, identified as non-Hispanic White, or resided in households with smokers. In short, low Zn intake may potentiate the association of tobacco smoke exposure and MetS risk in children and adolescents.

To examine the efficacy and safety of minimally invasive surgery (MIS) and conventional abdominal surgery for epithelial ovarian cancer (EOC), stratified by treatment type.

A systematic review and meta-analysis were conducted by an Expert Panel of the Japan Society of Gynecologic Oncology Ovarian Cancer Committee. Several academic databases, including PubMed/MEDLINE, Cochrane Database, and Ichushi were searched by the Japan Medical Library Association on November 11, 2023, using the keywords "epithelial ovarian cancer", "minimally invasive surgery", "laparoscopic", and "robot-assisted". Articles describing MIS treatment for EOC compared with conventional abdominal surgery were independently assessed by two authors. The primary outcomes were survival and perioperative adverse events.

After screening 1114 studies, 35 articles were identified, including primary staging surgery (PSS) for early-stage EOC EOC (n = 20) and neoadjuvant chemotherapy following interval debulking surgery (NACT-IDS; n = 10) and upfront primary debulking surgery (PDS; n = 5) for advanced-stage EOC. These studies included 29,888 patients (7661 undergoing MIS and 22,227 undergoing abdominal surgery). Patients receiving MIS and abdominal surgery had similar overall survival (PSS: odds ratio [OR] 1.02, 95% confidence interval [CI] 0.75-1.37; NACT-IDS: OR 0.93, 95%CI 0.25-3.44 and PDS: OR 0.66, 95%CI 0.36-1.22, all P > 0.05). MIS showed perioperative complication rates comparable to those of abdominal surgery (intraoperative and postoperative, all treatment types P ≥ 0.05). However, the rate of lymph node dissection in early-stage EOC (PSS: OR 0.49, 95%CI0.26-0.91) and multivisceral resections in advanced-stage EOC (NACT-IDS: OR 0.27 95%CI 0.16-0.44 and PDS: OR 0.27, 95%CI 0.16-0.44) was lower in MIS than in abdominal surgery (all P < 0.05).

MIS did not negatively impact the survival and perioperative complications of patients with EOC compared to abdominal surgery. While MIS is a viable option, varied case selection and surgical procedures suggest potential bias, requiring further validation studies.

The complex and multidimensional landscape of type 2 diabetes mellitus (T2D) is a major global concern. Despite several years of extensive research, the precise underlying causes of T2D remain elusive, but evidence suggests that it is influenced by a myriad of interconnected risk factors such as epigenetics, genetics, gut microbiome, environmental factors, organelle stress, and dietary habits. The number of factors influencing the pathogenesis is increasing day by day which worsens the scenario; meanwhile, the interconnections shoot up the frame. By gaining deeper insights into the contributing factors, we may pave the way for the development of personalized medicine, which could unlock more precise and impactful treatment pathways for individuals with T2D. This review summarizes the state of knowledge about T2D pathogenesis, focusing on the interplay between various risk factors and their implications for future therapeutic strategies. Understanding these factors could lead to tailored treatments targeting specific risk factors and inform prevention efforts on a population level, ultimately improving outcomes for individuals with T2D and reducing its burden globally.

Smoking may increase the risk of diabetic foot disease and ulceration. It does so by impairing glycaemic control and promoting the formation of advanced glycated end-products. Additionally, smoking is known to delay surgical wound healing and accelerate peripheral arterial disease. We aimed to determine whether toe pressures differed in smokers with a foot ulcer, when compared to non-smokers and ex-smokers, as well as ulcer outcomes at 12 months, among patients attending Blacktown Hospital High Risk Foot Service (HRFS). This study is a retrospective analysis of our prospectively collected clinic database. Eligible participants were adults attending the HRFS between June 2020 and April 2022. Participants were included if they had an ulcer, at least one systolic toe pressure reading completed at their initial visit and attended at least one follow-up visit. Participants were followed until healing, loss to follow-up or a minimum of 12 months. A total of 195 participants were included; 36 smokers, 82 ex-smokers, and 77 controls who had never smoked. Smoking status was by self-report. Current smokers were significantly younger at initial presentation (p = .002) and tended towards lower socioeconomic status (p = .067). Current smokers were significantly more likely to have ischaemic grade 3 toe pressures (< 30 mmHg) of their left foot (p = .027), suggestive of reduced perfusion. At the end of follow up period, smokers had the numerically highest rates of minor amputations. In conclusion, smokers ulcerate younger and are more likely to have grade 3 ischaemia. Collecting information about the brachial artery pressures and the time since the last cigarette may clarify any relationship between smoking and toe pressures.Trial registration: WSLHD HREC ethics approval 2111-02 and ANZCTR registration 382470. Registered on 15/09/2021.

To investigate the association of methylation risk score (MRS) and its interactions with environmental factors with type 2 diabetes mellitus (T2DM) risk.

We conducted a nested case-control study with 241 onset cases and 241 matched controls. Conditional logistic regression models were employed to identify risk CpG sites. Simple and weighted MRSs were constructed based on the methylation levels of ATP-binding cassette G1 gene, fat mass and obesity associated gene, potassium voltage-gated channel member 1 gene, and thioredoxin-interacting protein gene previously associated with T2DM to estimate the association of MRS with T2DM risk. Stratified analyses were used to investigate interactions between MRS and environmental factors.

A total of 10 CpG loci were identified from the aforementioned genes to calculate MRS. After controlling for potential confounding factors, taking tertile 1 as reference, the odds ratios (ORs) and 95% confidence intervals (CIs) for T2DM of tertile 3 was 2.39 (1.36-4.20) for simple MRS and 2.59 (1.45-4.63) for weighted MRS. With per SD score increment in MRS, the OR (95% CI) was 1.66 (1.29-2.14) and 1.60 (1.24-2.08) for simple and weighted MRSs, respectively. J-curved associations were observed between both simple and weighted MRSs and T2DM risks. Additionally, multiplication interactions for smoking and hypertension with simple MRS on the risk of T2DM were found, similarly for smoking and obesity with weighted MRS on the risk of T2DM (all Pinteraction  < .05).

Elevated simple and weighted MRSs were associated with increased risk of T2DM. Environmental risk factors may influence the association between MRS and T2DM.

Cigarette smoking and particulate matter (PM) with aerodynamic diameter < 2.5 μm (PM2.5) are major preventable cardiovascular mortality and morbidity promoters. Their joint role in metabolic syndrome (MS) pathogenesis is unknown. We determined the risk of MS based on PM2.5 and cigarette smoking in Taiwanese adults.

The study included 126,366 Taiwanese between 30 and 70 years old with no personal history of cancer. The Taiwan Biobank (TWB) contained information on MS, cigarette smoking, and covariates, while the Environmental Protection Administration (EPA), Taiwan, contained the PM2.5 information. Individuals were categorized as current, former, and nonsmokers. PM2.5 levels were categorized into quartiles: PM2.5 ≤ Q1, Q1 < PM2.5 ≤ Q2, Q2 < PM2.5 ≤ Q3, and PM2.5 > Q3, corresponding to PM2.5 ≤ 27.137, 27.137 < PM2.5 ≤ 32.589, 32.589 < PM2.5 ≤ 38.205, and PM2.5 > 38.205 μg/m3.

The prevalence of MS was significantly different according to PM2.5 exposure (p-value = 0.0280) and cigarette smoking (p-value < 0.0001). Higher PM2.5 levels were significantly associated with a higher risk of MS: odds ratio (OR); 95% confidence interval (CI) = 1.058; 1.014-1.104, 1.185; 1.134-1.238, and 1.149; 1.101-1.200 for 27.137 < PM2.5 ≤ 32.589, 32.589 < PM2.5 ≤ 38.205, and PM2.5 > 38.205 μg/m3, respectively. The risk of MS was significantly higher among former and current smokers with OR; 95% CI = 1.062; 1.008-1.118 and 1.531; 1.450-1.616, respectively, and a dose-dependent p-value < 0.0001. The interaction between both exposures regarding MS was significant (p-value = 0.0157). Stratification by cigarette smoking revealed a significant risk of MS due to PM2.5 exposure among nonsmokers: OR (95% CI) = 1.074 (1.022-1.128), 1.226 (1.166-1.290), and 1.187 (1.129-1.247) for 27.137 < PM2.5 ≤ 32.589, 32.589 < PM2.5 ≤ 38.205, and PM2.5 > 38.205 μg/m3, respectively. According to PM2.5 quartiles, current smokers had a higher risk of MS, regardless of PM2.5 levels (OR); 95% CI = 1.605; 1.444-1.785, 1.561; 1.409-1.728, 1.359; 1.211-1.524, and 1.585; 1.418-1.772 for PM2.5 ≤ 27.137, 27.137 < PM2.5 ≤ 32.589, 32.589 < PM2.5 ≤ 38.205, and PM2.5 > 38.205 μg/m3, respectively. After combining both exposures, the group, current smokers; PM2.5 > 38.205 μg/m3 had the highest odds (1.801; 95% CI =1.625-1.995).

PM2.5 and cigarette smoking were independently and jointly associated with a higher risk of MS. Stratified analyses revealed that cigarette smoking might have a much higher effect on MS than PM2.5. Nonetheless, exposure to both PM2.5 and cigarette smoking could compound the risk of MS.

The American Diabetes Association (ADA) "Standards of Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, an interprofessional expert committee, are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations and a full list of Professional Practice Committee members, please refer to Introduction and Methodology. Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.

To evaluate the main modifiable risk factors for ischemic stroke (IS) and features of the course in atherothrombotic, cardioembolic, and lacunar subtypes of IS in men aged 18-50 years.

The study included 125 men (the mean age was 42.6±5.3 years) who were admitted to the Vascular department before the COVID-19 pandemic and survived for the first 30 days after IS. Information on patients' baseline characteristics, traditional vascular risk factors, and lifestyle risk factors was systematically collected. Neuroimaging, ultrasound and laboratory tests were performed.

Atherothrombotic subtype was identified in 60 patients, lacunar subtype in 46 patients and cardioembolic subtype in 19 patients. In the group as a whole, major risk factors included arterial hypertension (83.2%), dyslipidemia (50.4%), smoking (67.2%), alcohol consumption (29.6%), obesity (16.8%), heart rhythm disorders (12%), and diabetes mellitus (8%).

The study revealed the main risk factors, the frequency of which differed depending on the stroke subtype and the age of the patients.

The influence of family history of diabetes, probably reflecting genetic and lifestyle factors, on the association of combined genetic and lifestyle risks with diabetes is unknown. We examined these associations.

This cross-sectional study included 9,681 participants in the Tohoku Medical Megabank Community-based Cohort Study. A lifestyle score, which was categorized into ideal, intermediate, and poor lifestyles, was given. Family history was obtained through a self-reported questionnaire. A polygenic risk score (PRS) was constructed in the target data (n=1,936) using publicly available genome-wide association study summary statistics from BioBank Japan. For test data (n=7,745), we evaluated PRS performance and examined the associations of combined family history and genetic and lifestyle risks with diabetes. Diabetes was defined as non-fasting blood glucose ≥ 200 mmHg, HbA1c ≥ 6.5%, and/or self-reported diabetes treatment.

In test data, 467 (6.0%) participants had diabetes. Compared with a low genetic risk and an ideal lifestyle without a family history, the odds ratio (OR) was 3.73 (95% confidence interval [CI], 1.92-7.00) for a lower genetic risk and a poor lifestyle without a family history. Family history was significantly associated with diabetes (OR, 3.58 [95% CI, 1.73-6.98]), even in those with a low genetic risk and an ideal lifestyle. Even among participants who had an ideal lifestyle without a family history, a high genetic risk was associated with diabetes (OR, 2.49 [95% CI, 1.65-3.85]). Adding PRS to family history and conventional lifestyle risk factors improved the prediction ability for diabetes.

Our findings support the notion that a healthy lifestyle is important to prevent diabetes regardless of genetic risk.

We aimed to clarify the relationship between serum alanine transaminase (ALT) levels and incidence of new-onset diabetes in a Japanese general population.

Population-based retrospective cohort study using annual health check-up data for residents of Iki City, Nagasaki Prefecture, Japan.

A total of 5330 Japanese individuals (≥30 years old) without diabetes at baseline were analysed.

Serum ALT levels were determined using an enzymatic method and were classified into gender-specific quartile groups as follows: group 1 (3-16 U/L in men and 3-13 U/L in women), group 2 (17-21 U/L in men and 14-16 U/L in women), group 3 (22-29 U/L in men and 17-22 U/L in women) and group 4 (30-428 U/L in men and 23-268 U/L in women). The study outcome was the incidence of diabetes (fasting glucose ≥7.0 mmol/L, non-fasting glucose ≥11.1 mmol/L, glycated haemoglobin ≥6.5% or use of glucose-lowering therapies).

After an average follow-up period of 5.0 years, 279 individuals developed diabetes. The incidence rate of diabetes increased with elevation of serum ALT levels (0.7% per 100 person-years in group 1, 0.9% in group 2, 0.9% in group 3 and 1.7% in group 4) (p<0.001 for trend). This association was significant after adjustment for other risk factors including age, sex, obesity, hypertension, dyslipidaemia, smoking, current daily alcohol intake and regular exercise (p<0.001 for trend). Comparable associations were observed between men and women (p=0.459 for interaction).

Serum ALT levels were associated with future development of diabetes in the general Japanese population.

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.

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.

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.

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.

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

To examine the effectiveness of progestin re-treatment for recurrent endometrial intraepithelial neoplasia (EIN), atypical endometrial hyperplasia (AH) and endometrial cancer (EC) following initial fertility-sparing treatment.

A comprehensive systematic review and meta-analysis were conducted by an Expert Panel of the Japan Society of Gynecologic Oncology Endometrial Cancer Committee. Multiple search engines, including PubMed/MEDLINE and the Cochrane Database, were searched in December 2021 using the keywords "Endometrial neoplasms," "Endometrial hyperplasia," "Endometrial intraepithelial neoplasia," "Fertility preservation," "Progestins," AND "Recurrence." Cases describing progestin re-treatment for recurrent EIN, AH and EC were compared with cases that underwent conventional hysterectomy. The primary outcomes were survival and disease recurrence, and the secondary outcome was pregnancy.

After screening 238 studies, 32 with results for recurrent treatment were identified. These studies included 365 patients (270 received progestin re-treatment and 95 underwent hysterectomy). Most progestin re-treatment involved medroxyprogesterone acetate or megestrol acetate (94.5%). Complete remission (CR) following progestin re-treatment was achieved in 219 (81.1%) cases, with 3-, 6- and 9-month cumulative CR rates of 22.8%, 51.7% and 82.6%, respectively. Progestin re-treatment was associated with higher risk of disease recurrence than conventional hysterectomy was (odds ratio [OR]=6.78; 95% confidence interval [CI]=1.99-23.10), and one patient (0.4%) died of disease. Fifty-one (14.0%) women became pregnant after recurrence, and progestin re-treatment demonstrated a possibility of pregnancy (OR=2.48; 95% CI=0.94-6.58).

This meta-analysis suggests that repeat progestin therapy is an effective option for women with recurrent EIN, AH and EC, who wish to retain their fertility.

As an effective medicinal plant, Ligusticum chuanxiong (L. chuanxiong) is traditionally used in China to treat various kinds of dysesthesia caused by liver qi stagnation, chest paralysis and heart pain caused by liver blood stagnation, and bruises and injuries caused by blood stasis. Recent research has confirmed the efficacy of L. chuanxiong in treating liver injury.

L. chuanxiong has significant hepatoprotective effects, but its material basis and mechanism of action are still ambiguous. This work was to reveal the potential active ingredients (parts) of L. chuanxiong for liver protection and to investigate the pharmacological mechanism of its liver protection.

The hepatoprotective substance basis and mechanism of L. chuanxiong were investigated using network pharmacology, and the active components of L. chuanxiong extract were studied using gas chromatography-mass spectrometry (GC-MS) and liquid chromatography-mass spectrometry (LC-MS) analytical techniques. Molecular docking was adopted to verify the interaction between the active ingredients in L. chuanxiong and the key targets involved in liver injury. To confirm the hepatoprotective effects of the effective part in L. chuanxiong, a carbon tetrachloride (CCl₄)-induced acute liver injury model in mice was used.

As a result, network pharmacological analysis techniques were used to screen out potential active ingredients such as ferulic acid, caffeic acid, and p-coumaric acid, which were concentrated in the organic acid site and acted on 19 key targets related to liver protection. The biological process involved the positive regulation of nitric oxide biosynthesis, and various signaling pathways were implicated, including the Toll-like receptor signaling pathway, the NOD-like receptor signaling pathway, the TNF signaling pathway, and others. LC-MS and GC-MS qualitatively analyzed the effective components from L. chuanxiong extract, and 50 active components were identified. The molecular docking of key components with the core targets showed good activity, which validated the predicted results. In the final analysis, a mouse model of acute liver injury induced by CCl₄ further verified the greater protective effect of the organic acid fraction of L. chuanxiong on liver injury in mice compared with other parts.

The results reveal that L. chuanxiong may relieve liver damage, and the organic acids were the main active part in it. Its mechanism of alleviating liver injury is related to positive regulation of nitric oxide biosynthesis, the Toll-like receptor signaling pathway, the NOD-like receptor signaling pathway, the TNF signaling pathway, and so on.

The relationship among long working hours, night shift working hours, and diabetes is still unclear. We aimed to evaluate the association of long working hours and night shift working hours with diabetes among health care workers.

We conducted a retrospective cohort study among health care workers in a tertiary medical center in Taiwan from 2002 to 2019. We compared the risk of diabetes among tertiles of total working hours (35-41, 42-45, and ≥46 h per week) and evaluated the relationship between long working hours and diabetes risk. We divided participants into three work patterns: day work only, evening shift workers, and night shift workers. In night shift workers, we further evaluated night shift working hours and incident diabetes using tertiles of night shift working hours (<17, 17-45, and ≥46 h per month). We estimated hazard ratios and 95% confidence intervals for incident diabetes using multivariable Cox proportional hazards models.

The study included 7081 participants. There were 301 incident cases of diabetes during 52,454 person-years. The adjusted hazard ratio (95% confidence interval) for participants who worked greater than or equal to 46 working hours per week was 3.45 (1.27, 9.39) compared with those who worked 35-41 hours. Compared with night shift workers who worked less than 17 h, the adjusted hazard ratios (95% confidence interval) for those who worked 17-45 and ≥46 night shift working hours per month were 2.26 (1.08, 4.75) and 2.60 (1.27, 5.33), respectively.

Long working hours and night shift working hours increased the risk of diabetes.

Cigarette smoking (CS) or ambient particulate matter (PM) exposure is a risk factor for metabolic disorders, such as insulin resistance (IR), increased plasma triglycerides, hyperglycemia, and diabetes mellitus (DM); it can also cause gut microbiota dysbiosis. In smokers with metabolic disorders, CS cessation decreases the risks of serious pulmonary events, inflammation, and metabolic disorder. This review included recent studies examining the mechanisms underlying the effects of CS and PM on gut microbiota dysbiosis and metabolic disorder development; one of the potential mechanisms is the disruption of the lung-gut axis, leading to gut microbiota dysbiosis, intestinal dysfunction, systemic inflammation, and metabolic disease. Short-chain fatty acids (SCFAs) are the primary metabolites of gut bacteria, which are derived from the fermentation of dietary fibers. They activate G-protein-coupled receptor (GPCR) signaling, suppress histone deacetylase (HDAC) activity, and inhibit inflammation, facilitating the maintenance of gut health and biofunction. The aforementioned gut microbiota dysbiosis reduces SCFA levels. Treatment targeting SCFA/GPCR signaling may alleviate air pollution-associated inflammation and metabolic disorders, which involve lung-gut axis disruption.

Cigarette smoking is a known risk factor for Type 2 diabetes, but evidence regarding former smoking and moist snuff (snus) use and Type 2 diabetes risk is inconclusive. This study investigated the relationships of cigarette smoking and Swedish snus use with the risk of Type 2 diabetes in a cohort of middle-aged and elderly participants.

Participants (N=36,742; age range=56-95 years) were followed for incident Type 2 diabetes and death between 2009 and 2017 through linkage to the Swedish National Patient, Prescribed Drug and Death Registers. Cox proportional hazards regression was used to obtain hazard ratios and 95% CIs adjusted for potential confounders, including physical activity, education, BMI, and alcohol intake. Analyses were conducted in 2021‒2022.

Former and current smoking was associated with an increased risk of Type 2 diabetes (hazard ratios [95% CI]=1.17 [1.07, 1.29] and 1.57 [1.36, 1.81], respectively). In those who stopped smoking, Type 2 diabetes risk remained elevated up to approximately 15 years after cessation. In participants who have never smoked, snus use was linked to a higher risk of Type 2 diabetes in the model adjusted for age and sex (hazard ratio [95% CI]=1.49 [1.04, 2.15]), but this was attenuated after multivariable adjustment (hazard ratio [95% Cl]=1.29 [0.89, 1.86]).

This study indicates that current and former smoking are associated with an increased risk of Type 2 diabetes in middle-aged and older individuals. There was less evidence of an association of snus use with the risk of Type 2 diabetes, suggesting that compounds other than nicotine may underlie the detrimental association of smoking with the risk of Type 2 diabetes.

Diabetes mellitus causes various problems in our life. With the big data boom in our society, some risk factors for Diabetes must still exist. To identify new risk factors for diabetes in the big data society and explore further efficient use of big data, the non-objective-oriented census data about the Japanese Citizen's Survey of Living Conditions were analyzed using interpretable machine learning methods.

Seven interpretable machine learning methods were used to analysis Japan citizens' census data. Firstly, logistic analysis was used to analyze the risk factors of diabetes from 19 selected initial elements. Then, the linear analysis, linear discriminate analysis, Hayashi's quantification analysis method 2, random forest, XGBoost, and SHAP methods were used to re-check and find the different factor contributions. Finally, the relationship among the factors was analyzed to understand the relationship among factors.

Four new risk factors: the number of family members, insurance type, public pension type, and health awareness level, were found as risk factors for diabetes mellitus for the first time, while another 11 risk factors were reconfirmed in this analysis. Especially the insurance type factor and health awareness level factor make more contributions to diabetes than factors: hypertension, hyperlipidemia, and stress in some interpretable models. We also found that work years were identified as a risk factor for diabetes because it has a high coefficient with the risk factor of age.

New risk factors for diabetes mellitus were identified based on Japan's non-objective-oriented anonymous census data using interpretable machine learning models. The newly identified risk factors inspire new possible policies for preventing diabetes. Moreover, our analysis certifies that big data can help us find helpful knowledge in today's prosperous society. Our study also paves the way for identifying more risk factors and promoting the efficiency of using big data.

According to the International Diabetes Federation (IDF), diabetes is increasing exponentially worldwide and will become more prevalent than ever in the Middle East by 2045, with a 110% increase. This study aims to clarify the role of pharmacists and community pharmacies in the screening, knowledge, and awareness of Type 2 diabetes among Jordanian people who visit community pharmacies in Amman, Jordan.

Study design: This was a cross-sectional prospective study that was conducted from September to December 2021 in Amman, Jordan. Data were collected using a standardized questionnaire that was composed of multiple parts. The first part collected information on demographics, residence, educational level, and insurance status; the second part was composed of 14 knowledge assessing questions; the last part was composed of the American Diabetes Association (ADA) diabetes risk score card test. Additionally, after confirming that each participant had returned their completed sheets, participants who scored greater than 5 had their blood sugar levels checked using a finger-prick blood test. The questionnaire was administered in person by a trained researcher. Using Slovin's formula, a 95% confidence interval (CI), and a 0.05 margin of error, the sample size was determined to be 267 participants. The study included 305 participants. Descriptive and regression analyses were performed by using the Statistical Package for Social Science (SPSS) with a significance level of p < 0.05.

A significant relationship was found between specialty (medical education) and the knowledge of risk factors for Type 2 diabetes mellitus (T2DM), (p < 0.012). In terms of knowledge, from a total of 13 correct knowledge points (13 marks for correct answers out of 14), some subjects scored slightly higher than others (n = 175; 57.4% of participants scored above 7, nearly over half of the correct answers, compared to n = 130; 42.6% scoring below 7). We found 132 individuals (44%) with risk scores of five or above (high risk for developing T2DM according to ADA). Smokers comprised n = 138, 45%, and nonsmokers comprised n = 148, 48%. Although 50.5% of the participants (n = 154) held a bachelor's, master's, or doctorate degree, these degrees did not improve the participants' overall general knowledge levels. The association was tested using chi-squared analysis, but no significance was found.

Random visitors to Jordanian community pharmacies are expected to benefit from awareness and educational campaigns. These test results revealed a lack of knowledge, indicating the need for education to dispel myths and highlight the serious risks associated with T2DM. The study discovered that participants' understanding of diabetes disease prevention through lifestyle and dietary changes was inadequate. A specialist-led educational program may increase knowledge among visitors who participate. In order to prevent the spread of diabetes, more campaigns and health-promoting and prevention educational activities are required.

The American Diabetes Association (ADA) "Standards of Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, a multidisciplinary expert committee, are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations and a full list of Professional Practice Committee members, please refer to Introduction and Methodology. Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.

The incidence of diabetes mellitus (DM) is increasing exponentially globally, with 90% of the confirmed cases being type 2 DM. The global incidence of DM is expected to increase by 48% during 2017-2045. The coronavirus disease 2019 (COVID-19) pandemic continues to have a massive impact on human health, causing sudden lifestyle changes through quarantine measures, such as lockdown, social distancing, various curfews, and isolation at home. This in turn might increase the risk of developing numerous chronic diseases, such as DM, obesity, and cardiovascular diseases, which increase the severity of COVID-19. To this end, we performed a comprehensive review to determine viable measures for the prevention of DM and its subsequent upsurge globally. Additionally, we have determined strategies that should be adopted globally to ensure a healthy lifestyle during the COVID-19 pandemic and later.

The main goal of our study was to determine the effect of cigarette smoking on selected derivatives of arachidonic acid, linoleic acid, DHA, and EPA, which may be markers of post-stroke inflammation. The eicosanoid profile was compared in both smoking and non-smoking patients, without division and with division into gender. In the group of non-smokers, we observed higher levels of the linolenic acid derivative (LA) 9S HODE (p ≤ 0.05) than in smokers. However, after dividing the results by sex, it turned out that the level of this derivative was higher in non-smoking women compared to smoking women (p ≤ 0.01) and did not differentiate the group of men. Similarly, the level of the arachidonic acid metabolite LTX A4 (p ≤ 0.05) differed only in the group of women. In this group, we also observed a decreased level of 15S HETE in smoking women, but it was statistically insignificant (p ≤ 0.08). On the other hand, the level of this derivative was statistically significantly higher in the group of non-smoking women compared to male non-smokers. The group of men was differentiated by two compounds: TXB2 and NPD1. Male smokers had an almost two-fold elevation of TXB2 (p ≤ 0.01) compared with non-smokers, and in this group, we also observed an increased level of NPD1 compared with male non-smokers. On the other hand, when comparing female non-smokers and male non-smokers, in addition to the difference in 15S HETE levels, we also observed elevated levels of TXB2 in the group of non-smokers. We also analyzed a number of statistically significant correlations between the analyzed groups. Generally, men and women smokers showed a much smaller amount of statistically significant correlations than non-smokers. We believe that this is related to the varying degrees of inflammation associated with acute ischemic stroke and post-stroke response. On the one hand, tobacco smoke inhibits the activity of enzymes responsible for the conversion of fatty acids, but on the other hand, it can cause the failure of the inflammatory system, which is also the body's defense mechanism. Smoking cigarettes is a factor that increases oxidative stress even before the occurrence of a stroke incident, and at the same time accelerates it and inhibits post-stroke repair mechanisms. This study highlights the effect of smoking on inflammation in both genders mediated by lipid mediators, which makes smoking cessation undeniable.

Diabetes seriously affects the health of middle-aged and elderly. What we can do is to suppress the progression and avoid complications of diabetes. The aim of this study was to evaluate the prevalence, management and influencing factors in middle-aged and elderly diabetics. The data used in our study came from the follow-up survey (2015) of China Health and Retirement Longitudinal Study. After all the questionnaire data of participants was acquired, the first screening step was conducted and the participants without blood glucose or glycosylated hemoglobin test results were excluded. In the second screening step, participants without self-reported diabetes, age <45 were excluded. After data screening, STATA 16.0 software (StataCorp, USA) was used to conduct statistical analysis. Multiple logistics regression was used to analyze the influencing factors of diabetes in middle-aged and elderly. After data screening, A total of 9738 participants were enrolled in the survey of the China Health and Retirement Longitudinal Study in 2015, including diabetes 1965 and control 7773. The prevalence of diabetes in age >60 (22.20%) was significantly higher than that in age 45 to 60 (16.60%). Age, residence, physical activity, drinking, smoking and body mass index were key influencing factors according to the results of logistics regression. 46.92% diabetics were diagnosed in hospital, 22.14% were diagnosed by community medical care. 1298 among 1965 diabetes patients had standardized medication to control blood glucose, the rate was only 66.01%. The awareness rate of diabetes was only 28.75%, and the monitoring, treatment and accepting medical advice rates were 68.32%, 66.01% and 56.99% separately. The follow-up rate of diabetes was only 14.16%. Diabetes is widely prevalent in the middle-aged and elderly with the prevalence of 16.60% in the participants with age 45 to 60. The rate of self-rated diabetics underestimated the true prevalence of diabetes. Age, residence, physical activity, drinking, smoking and body mass index are key influencing factors to diabetes. Although a national diabetes health management model has been established, the awareness of diabetes was only 28.75%. Standardized diabetes registration and regular follow up should also be strictly implemented.

Diabetes is considered a new pandemic of the modern world, and the number of sufferers is steadily increasing. Sustained hyperglycemia promotes the production of free radicals and leads to persistent, low-grade inflammation. Oxidative stress causes mitochondrial destruction, which along with activation of the hexosamine pathway, nuclear factor-κB (Nf-κb), p38 mitogen-activated protein kinase (p38 MAPK), c-jun NH2 terminal kinase/stress-activated protein kinase (JNK/SAPK) or toll-like receptors (TLRs), leads to pancreatic β-cell dysfunction. However, there is also the protective mechanism that counteracts oxidative stress and inflammation in diabetes, mitophagy, which is a mitochondrial autophagy. An important part of the strategy to control diabetes is to lead a healthy lifestyle based on, among other things, regular physical activity, giving up smoking, eating a balanced diet containing ingredients with antioxidant potential, including vegetables and fruits, and using hypoglycemic pharmacotherapy. Tobacco smoke is a recognized modifiable risk factor for many diseases including diabetes, and it has been shown that the risk of the disease increases in proportion to the intensity of smoking. Physical activity as another component of therapy can effectively reduce glucose fluctuations, and high intensity interval exercise appears to have the most beneficial effect. A proper diet not only increases cellular sensitivity to insulin, but is also able to reduce inflammation and oxidative stress. Pharmacotherapy for diabetes can also affect oxidative stress and inflammation. Some oral drugs, such as metformin, pioglitazone, vildagliptin, liraglutide, and exenatide, cause a reduction in markers of oxidative stress and/or inflammation, while the new drug Imeglimin reverses pancreatic β-cell dysfunction. In studies of sitagliptin, vildagliptin and exenatide, beneficial effects on oxidative stress and inflammation were achieved by, among other things, reducing glycemic excursions. For insulin therapy, no corresponding correlation was observed. Insulin did not reduce oxidative stress parameters. There was no correlation between glucose variability and oxidative stress in patients on insulin therapy. The data used in this study were obtained by searching PubMed online databases, taking into account recent studies.

Longitudinal data on the association between smoking and glycemic control in men with newly diagnosed type 2 diabetes (T2DM) is scarce. Therefore, this study aimed to examine the extent of the association between smoking and glycemic control in this population.

The retrospective cohort study identified 3044 eligible men with T2DM in a medical centre in Taiwan between 2002 and 2017. Smokers (n = 757) were matched 1:1 with non-smokers using propensity score-matching. All of them were followed for one year. Glycated haemoglobin (HbA1c) levels were measured at 0, 3, 6, 9, and 12 months after enrolment. Generalised estimating equations were used to assess smoking status-by-time interaction to determine the difference in HbA1c reduction between the two cohorts. All analyses were performed in 2020.

The estimated maximal difference in HbA1c reduction between smokers and non-smokers was 0.33% (95% CI, 0.05-0.62%) at 3 months of follow-up. For patients with body mass index (BMI) <25 kg/m², the difference in HbA1c reduction between smokers and non-smokers was much larger (0.74%, 95% CI, 0.35-1.14%) than in those with a higher BMI.

Our findings show that smoking was independently associated with unfavourable glycemic control among men with newly diagnosed T2DM, and such a detrimental association could be stronger in men with a lower BMI.

Evidence regarding the impact of education on diabetes risk is scarce in developing countries. We aimed to explore the association between education and diabetes within a large population in China and to identify the possible mediators between them.

Information on educational level and lifestyle factors was collected through questionnaires. Diabetes was diagnosed from self-report and biochemical measurements. A structural equation model was constructed to quantify the mediation effect of each mediator.

Compared with their least educated counterparts, men with college education had a higher risk of diabetes (odds ratio [OR] 1.19; 95% confidence interval [CI], 1.12-1.27), while college-educated women were less likely to have diabetes (OR 0.77; 95% CI, 0.73-0.82). Obesity was the strongest mediator in both genders (proportion of mediation: 11.6% in men and 23.9% in women), and its association with education was positive in men (β[SE] 0.0387 [0.0037]) and negative in women (β[SE] -0.0824 [0.0030]). Taken together, all behavioral factors explained 12.4% of the excess risk of diabetes in men and 33.3% in women.

In a general Chinese population, the association between education level and diabetes was positive in men but negative in women. Obesity was the major mediator underlying the education disparities of diabetes risk, with a stronger mediation effect among women.

We aim to estimate the prevalence of prediabetes, and diabetes mellitus (DM). We estimated awareness, treatment, plasma glucose control, and associated factors in diabetes, as well as, socioeconomic-related inequality in the prevalence of diabetes and prediabetes. Data for adults aged 35-70 years were obtained from the baseline phase of the Dehgolan prospective cohort study (DehPCS). Diabetes status was determined as fasting plasma glucose (FPG) of ≥ 126 mg/dl and/or taking glucose lowering medication confirmed by a medical practitioner. Prediabetes was considered as 100 ≤ FPG ≤ 125 mg/dl. The relative concentration index (RCI) was used to exhibit socioeconomic inequality in the prevalence of prediabetes and DM. Prevalence of prediabetes and DM, diabetes awareness and treatment, and glycemic control of DM 18.22%, 10.00%, 78.50%, 68.91% and, 28.50%, respectively. Increasing age (p < 0.001), Increasing body mass index (BMI) (p < 0.05), ex-smoker (p < 0.01), family history of diabetes (FHD) (p < 0.001), and comorbidity (p < 0.001) were independent risk factors for DM. Age group of 46-60 (p < 0.05), ex-smoker (p < 0.05), FHD (p < 0.05) were increased chance of awareness. Current smokers (p < 0.05), and higher education increase the chance of glycemic control in DM. Both DM (RCI =  - 0.234) and prediabetes (RCI =  - 0.122) were concentrated significantly among less-educated participants. DM was concentrated significantly among poor (RCI =  - 0.094) people. A significant proportion of DM awareness and treatment can be due to the integration of diabetes into the primary health care system. The high prevalence of prediabetes and diabetes, which is affected by socioeconomic inequality and combined with low levels of glycemic control may place a greater burden on the health system. Therefore, awareness, receiving treatment, and glycemic control in people with diabetes, and the socioeconomic status of people have become increasingly important in the near future.

Cigarettes have become the the biggest killer of contemporary female's health and beauty. What kind of health information is suitable for the general public is an important issue to be discussed globally. The purpose of this study is to generate systematic, rigorous, public-demand-oriented and appropriate core information relevant to tobacco control based on the best available evidence, combined with audience preferences and pre-dissemination content review from multidisciplinary expertise in order to improve the effectiveness of health communication of tobacco control.

Relevant systematic reviews meta-analysis that reported smoking on risks of female disease were identified by searching PubMed, Embase, the Cochrane Library, Web of Science, Clinical Trials.gov, and the International Clinical Trial Registry Platform. The Grading of Recommendations Assessment, Development and Evaluation (GRADE) process was applied to assess the evidence in order to make rigorous core information. The audience prevalence survey was conducted to ensure that core information was targeted and tailored. Finally, the expert assessment was used for a pre-dissemination content review and to evaluate whether the core information was appropriate or not.

The final core information consisted of eight parts concerning the effects of smoking and female cardiovascular disease, diabetes, rheumatoid arthritis, respiratory disease, digestive system disease, mental disease, non-pregnant female reproductive system disease, as well as pregnant women and their fetuses. A total of 35 items of core information suitable for dissemination was included and the quality of evidence, the degree of public demand and the outcome of pre-dissemination content review were reported.

The core information related to female cardiovascular system diseases, as well as liver cancer and upper gastrointestinal cancer is the preferred content for health communication of tobacco control. The quality of evidence for core information related to pregnant women and their infants, as well as diseases of reproductive system, respiratory system, and diabetes needs to be improved to meet high public demand. The core information related to mental disease is more suitable for dissemination to patients with mental illness than to the general public. Besides, dissemination of core information should be individualized. Evidence-based Core Information for Health Communication of Tobacco Control would be helpful to provide evidence support for health communication related to tobacco control and enhance public health literacy for international communities that have high smoking prevalence and related disease burden.

The purpose of this study was to compare the corneal endothelial morphology and cell density of diabetic smokers and nonsmokers with 50 to 70 age-matched healthy subjects and to determine whether smoking increases the effects of type 2 diabetes mellitus (DM) on these corneal parameters.

This prospective cohort study included 200 patients who were assigned to 4 groups, including smokers with type 2 DM (group 1), nonsmokers with type 2 DM (group 2), healthy smokers (group 3), and healthy nonsmokers (control group, group 4). Noncontact specular microscopy was used to measure central endothelial cell density (ECD), coefficient of variation of cell area, percentage of hexagonal cells, and central corneal pachymetry (CCT).

According to the ECD and CCT values ( P < 0.001 and P = 0.013, respectively), a significant difference was observed between the groups. The mean ECD was lowest in diabetic smokers (1917 ± 399 cells/mm 2 ). Healthy smokers and diabetic smokers had significantly lower ECD compared with the control group ( P = 0.03 and P < 0.001, respectively). Healthy smokers and diabetic smokers had significantly lower ECD compared with diabetic nonsmokers ( P = 0.012 and P < 0.001, respectively). The cornea was significantly thicker in the diabetic smokers than in the control group ( P = 0.013).

The coexistence of DM and smoking causes a significant decrease in ECD and an increase in CCT. Cigarette smoking is more harmful to corneal endothelial cells than DM alone.

To explore the influence of nine healthy lifestyle factors on the risk of type 2 diabetes mellitus in adults in Guizhou, China.

Data were obtained from a large population-based prospective cohort study in Guizhou Province, China. A total of 7,319 participants aged ≥18 years without diabetes at baseline were included in this study and were followed up from 2016 to 2020. A healthy lifestyle score was calculated based on the number of healthy lifestyle factors.

During an average of 7.1 person-years of follow-up, 764 participants were diagnosed with type 2 diabetes mellitus. Compared with those of participants who scored 0-3 for a healthy lifestyle, the hazard ratios (95% confidence intervals) of those who scored 4, 5, 6, and ≥7 were 0.676 (0.523-0.874), 0.599 (0.464-0.773), 0.512 (0.390-0.673), and 0.393 (0.282-0.550), respectively, showing a gradual downward trend (P for trend <0.01). More importantly, they had lower fasting and 2 h post-load plasma glucose levels and fewer changes in plasma glucose levels during follow-up. If ≥7 healthy lifestyle factors were maintained, 33.8% of incident diabetes cases could have been prevented. Never smoking was the strongest protective factor against type 2 diabetes mellitus.

A healthy lifestyle can effectively decrease plasma glucose levels and reduce the incidence of type 2 diabetes mellitus in adults in Guizhou, China. In addition, not smoking may be an effective way to prevent type 2 diabetes mellitus.