Association among cigarette smoking, metabolic syndrome, and its individual components: the metabolic syndrome study in Taiwan

Relationship between tobacco smoking and metabolic syndrome: a Mendelian randomization analysis

BACKGROUND

Numerous epidemiologic observational studies have demonstrated that smokers have an increased risk of developing cardiovascular-related diseases. However, less is known about the causal relationship between tobacco smoking and the metabolic syndrome. This study aimed to determine whether genetically predicted smoking is associated with metabolic syndrome using the Mendelian randomization (MR) approach.

METHODS

This paper used individual-level genetic and personal data from the Taiwan Biobank dataset, including 80,072 Han Chinese individuals (15,773 cases of metabolic and 64,299 controls; 21,399 smokers and 58,673 nonsmokers). The literature was searched for smoking-associated single nucleotide polymorphisms (SNPs), and 14 SNPs satisfying MR assumptions were identified and used as instrumental variables. Weighted and unweighted genetic risk scores (GRSs) based on these significant SNPs were derived. MR analyses were performed using the two-stage approach of regression models.

RESULTS

Genetically predicted smoking is associated with a higher risk of metabolic syndrome (odds ratio [OR]: 1.49, 95% CI: 1.47-1.52 per 1 standard deviation increase) for weighted and unweighted GRSs. When Q1 was used as the reference group, the adjusted ORs of metabolic syndrome for Q2, Q3, and Q4 were 1.15 (1.08, 1.22), 2.17 (2.05, 2.30), and 4.23 (3.98, 4.49), respectively, for the weighted GRS. The corresponding ORs for Q2, Q3, and Q4 were 1.16 (1.09, 1.24), 2.17 (2.05, 2.30), and 4.26 (4.02, 4.53), respectively, for the unweighted GRS.

CONCLUSIONS

Genetic predisposition toward tobacco smoking is strongly associated with a higher likelihood of metabolic syndrome. Further work is warranted to clarify the underlying mechanism of smoking in the development of metabolic syndrome.

Prevalence of metabolic syndrome and its association with cardiovascular disease risk and common risk factors amongst healthcare workers in Pakistan

Metabolic syndrome (MetS) significantly increases the risk of cardiovascular disease (CVD). Healthcare workers (HCWs) are at a higher risk of CVD. However, little is known about the association between MetS and CVD risk in healthcare workers in Pakistan. We aimed to assess the prevalence of MetS and its components and examined the association between MetS and 10-year CVD-risk using Framingham Risk Score (FRS) and common CVD risk factors amongst HCWs working in a private healthcare system in Pakistan. This cross-sectional study uses baseline data from an existing CVD risk screening program for employees at a private healthcare system in Pakistan. MetS was diagnosed using the American Heart Association cut-offs for Asian population. Healthcare workers were divided into MetS positive and negative groups; demographics, MetS components and CVD risk were compared between these groups. Logistic regression was used to examine the association of MetS with 10-year CVD-risk and its risk factors. In 1,807 healthcare workers, 677 (37%) had MetS and 48 (2.7%) had a high 10-year CVD-risk. Of the MetS components, low High-density Lipoprotein (HDL) 1,467 (81%) and elevated waist circumference (WC) 1,049 (58%) were the most prevalent. Compared to MetS negative group, MetS positive group had a higher proportion of high-risk CVD (0.7% vs. 5.9%; p: <0.01). After controlling for known risk factors, we found that the odds of having MetS is 5.7 times higher (aOR: 5.67 (95% CI: 2.39-13.4) in those with high CVD risk. In addition, we found a significant association between screening positive for depression and MetS (OR: 2.42 (95% CI: 1.24-4.72). Interestingly, tobacco use was not significantly associated with MetS (OR: 0.81 (95% CI: 0.58-1.15). We found a high prevalence of MetS amongst Pakistani healthcare workers and of the MetS components, low HDL and elevated WC were the most prevalent. Along with biologic risk factors (age, sex and family history of CVD), depression significantly increases the odds of having MetS. In addition, both intermediate and high CVD risk groups have significant association with MetS. Comprehensive, workplace based screening and management programs are required for HCWs to mitigate the risk of MetS and cardiovascular disease. Early identification and treatment of these risk factors may be cost-effective in lowering MetS burden in low-middle income countries.

Association between cardiometabolic index and all-cause and cause-specific mortality among the general population: NHANES 1999-2018

BACKGROUND

Cardiometabolic index (CMI) is a comprehensive clinical parameter which integrates overweight and abnormal lipid metabolism. However, its relationship with all-cause, cardiovascular disease (CVD), and cancer mortality is still obscure. Thus, a large-scale cohort study was conducted to illustrate the causal relation between CMI and CVD, cancer, and all-cause mortality among the common American population.

METHODS

Our research was performed on the basis of National Health and Nutrition Examination Survey (NHANES) database, involving 40,275 participants ranging from 1999 to 2018. The formula of CMI is [waist circumference (cm) / height (cm)] × [triglyceride (mg/dL) / high-density lipoprotein cholesterol (mg/dL)]. Outcome variables consisted of CVD, cancer, and all-cause mortality, which were identified by the International Classification of Diseases (ICD)-10. The correlation between CMI and mortality outcomes was analyzed utilizing the Kaplan-Meier survival modeling, univariate/multivariate Cox regression analysis, smooth curve fitting analysis, threshold effect analysis, and subgroup analysis. Stratification factors for subgroups included age, race/ethnicity, sex, smoking behavior, drinking behavior, BMI, hypertension, and diabetes.

RESULTS

The baseline characteristics table includes 4,569 all-cause-induced death cases, 1,113 CVD-induced death cases, and 1,066 cancer-induced death cases. Without adjustment for potential covariates, significantly positive causal correlation existed between CMI and all-cause mortality (HR = 1.03, 95% CI 1.02,1.04, P-value<0.05), CVD mortality (HR = 1.04, 95% CI 1.03, 1.05, P-value<0.05) and cancer mortality(HR = 1.03, 95% CI 1.02, 1.05, P-value<0.05); whereas, after confounding factors were completely adjusted, the relationship lost statistical significance in CMI subgroups (P for trend>0.05). Subgroup analysis found no specific subgroups. Under a fully adjusted model, a threshold effect analysis was performed combined with smooth curve fitting, and the findings suggested an L-shaped nonlinear association within CMI and all-cause mortality (the Inflection point was 0.98); in particular, when the baseline CMI was below 0.98, there existed a negative correlation with all-cause mortality with significance (HR 0.59, 95% CI 0.43, 0.82, P-value<0.05). A nonlinear relation was observed between CMI and CVD mortality. Whereas, the correlation between CMI and cancer mortality was linear.

CONCLUSIONS

Among the general American population, baseline CMI levels exhibited an L-shaped nonlinear relationship with all-cause mortality, and the threshold value was 0.98. What's more, CMI may become an effective indicator for CVD, cancer, and all-cause mortality prediction. Further investigation is essential to confirm our findings.

Association of Fibrate use with clinical expression of hypertrophic cardiomyopathy

AIMS

An association between obesity, metabolic abnormalities and clinical hypertrophic cardiomyopathy (HCM) expression has been reported. We investigated whether managing dyslipidaemia with fibrates could affect the clinical expression of HCM.

METHODS

We screened patients who used fibrates between 2010 and 2017 from a nationwide database. After excluding patients with a history of HCM, we identified fibrate-user group (n = 412 823). We then constructed a 1:1 matched cohort of fibrate-naïve participants (n = 412 823). After a 1 year lag period, we identified the incident HCM cases for the following 5 years.

RESULTS

During a median follow-up period of 3.96 years, we identified 454 incident clinical HCM cases. After adjusting for covariates, fibrate use was associated with a lower risk of clinical HCM expression [hazard ratio (HR) 95% confidence interval (CI): 0.763 (0.630-0.924)]. In subgroup analyses, fibrate use was associated with a reduced risk of clinical HCM expression in patients with a body mass index ≥25 kg/m2 and those with abdominal obesity [HR (95% CI): 0.719 (0.553-0.934) and 0.655 (0.492-0.872)], but not in those without obesity. Fibrate use was also associated with lower risks of incident clinical HCM in patients with triglyceride levels ≥150 mg/dL and those with metabolic syndrome [HR (95% CI): 0.741 (0.591-0.929) and 0.750 (0.609-0.923)], but not in their counterparts. Regarding lifestyle behaviours, fibrate use appeared to provide more prognostic benefits in patients who currently smoked, consumed alcohol or did not engage in regular physical activities.

CONCLUSION

The use of fibrates is associated with a lower incidence of clinical HCM expression. This association was also more prominent in those with obesity, unhealthy metabolic profiles and poor lifestyle behaviours.

Cigarette smoke extract decreases human bone marrow mesenchymal stromal cell adipogenic differentiation

BACKGROUND

Smoking and nicotine impose detrimental health effects including adipose tissue dysfunction. Despite extensive physiological evidence, the cellular mechanisms remain poorly understood, with few studies examining the effects of cigarette smoke extract (CSE) or nicotine on adipocyte differentiation.

METHODS

Primary human bone marrow-derived mesenchymal stromal cells (MSCs) were exposed to CSE or nicotine (50-500 ng/ml) during adipogenic differentiation. Cell viability and metabolic activity were assessed via MTT assay. Lipid droplet accumulation was evaluated using Sudan III staining and quantitative image analysis. Adiponectin, IL6, and IL8 concentrations were measured after 35 days using ELISA.

RESULTS

At these doses, CSE and nicotine do not immediately affect cell viability but inhibit undifferentiated cell proliferation. Notably, both agents at 50 ng/ml significantly increased lipid accumulation during adipogenesis, while higher CSE doses nearly completely inhibited this process. Additionally, CSE dose-dependently decreased adiponectin secretion and increased IL6 and IL8, indicating a shift towards an inflammatory state. Nicotine alone primarily increased IL6 secretion with less pronounced effects.

CONCLUSION

The study highlights the complex impact of CSE and nicotine on adipocyte function during early differentiation from MSCs. Dose-dependent changes in lipid accumulation, cytokine, and adiponectin secretion induced by CSE and nicotine can partly explain smoking-related adipose tissue dysfunction.

Cardiometabolic risk factor clusters in older adults using latent class analysis on the Bushehr elderly health program

Metabolic syndrome (MetS), comprising obesity, insulin resistance, hypertension, and dyslipidemia, increases the risk of type II diabetes mellitus and cardiovascular disease. This study aimed to identify the prevalence and determinants of specific clusters of the MetS components and tobacco consumption among older adults in Iran. The current study was conducted in the second stage of the Bushehr Elderly Health (BEH) program in southern Iran-a population-based cohort including 2424 subjects aged ≥ 60 years. Latent class analysis (LCA) was used to identify MetS and tobacco consumption patterns. Multinomial logistic regression was conducted to investigate factors associated with each MetS class, including sociodemographic and behavioral variables. Out of 2424 individuals, the overall percentage of people with one or more components of MetS or current tobacco use was 57.8% and 20.8%, respectively. The mean (SD) age of all participants was 69.3(6.4) years. LCA ascertained the presence of four latent classes: class 1 ("low risk"; with a prevalence of 35.3%), class 2 ("MetS with medication-controlled diabetes"; 11.1%), class 3 ("high risk of MetS and associated medication use"; 27.1%), and class 4 ("central obesity and treated hypertension"; 26.4%). Compared to participants with a body mass index (BMI) < 30, participants with BMI ≥ 30 were more likely to belong to class 3 (OR 1.91, 95% CI 1.31-2.79) and class 4 (OR 1.49, 95% CI 1.06-2.08). Polypharmacy was associated with membership in class 2 (OR 2.07, 95% CI 1.12-3.81), class 3 (OR 9.77, 95% CI 6.12-15.59), and class 4 (OR 1.76, 95% CI 1.07-2.91). The elevated triglyceride-glucose index was associated with membership in class 2 (OR 12.33, 95% CI 7.75-19.61) and class 3 (OR 12.04, 95% CI 8.31-17.45). Individuals with poor self-related health were more likely to belong to class 3 (OR 1.43; 95% CI 1.08-1.93). Four classes were identified among older adults in Iran with distinct patterns of cardiometabolic risk factors. Segmenting elderly individuals into these cardiometabolic categories has the potential to enhance the monitoring and management of cardiometabolic risk factors. This strategy may help reduce the severe outcomes of metabolic syndrome in this susceptible population.

Smoking contribution to the global burden of metabolic disorder: A cluster analysis

INTRODUCTION AND OBJECTIVES

Smoking is associated with various health risks, including cancer, cardiovascular disease, and chronic obstructive pulmonary disease. In this retrospective cohort study, we aimed to determine whether smoking is harmful to the whole metabolic system.

METHODS

We collected data from 340 randomly selected participants who were divided into three groups: smokers (n=137), non-smokers (n=134), and ex-smokers (n=69). We obtained information on participants' body mass index, waist circumference, indicators of glucose metabolism, lipid metabolism, bone metabolism, and uric acid from health screen data during the past three years. A cluster analysis was used to synthesize each participant's overall metabolic characteristics.

RESULTS

According to the cluster analysis, the 340 participants were divided into three groups: excellent metabolizers (137, 40.3%), adverse metabolizers (32, 9.4%), and intermediate metabolizers (171, 50.3%). The Chi-squared test analysis shows that people with different smoking statuses have different metabolic patterns. Non-smokers had the highest proportion of excellent metabolizers (56%), and current smokers had the highest proportion of adverse metabolizers (15.3%). The proportion of adverse metabolizers (5.8%) in the ex-smoker group was clinically relevantly lower than that of current smokers.

CONCLUSION

The statistically significant differences in the distribution of smokers into different metabolic clusters indicate that smoking has adverse effects on the whole metabolic system of the human body, which further increases the existing global burden of metabolic disorders.

Prevalence and Incidence of Metabolic Syndrome and Its Components Among Waterpipe Users

Objectives

To determine the associations between waterpipe use, duration, and intensity of use with prevalence and incidence of metabolic syndrome and its components (increased waist circumference, triglycerides, fasting glucose, blood pressure and decreased high-density lipoprotein cholesterol).

Methods

We conducted cross-sectional and prospective analyses using data from the Pars Cohort Study in southern Iran, encompassing 9,264 participants at the baseline, and 5,002 randomly selected in a repeated follow-up. We used multivariate logistic regression models adjusted for age, sex, education, wealth score, physical activity and cigarette pack-years to report odds ratios (OR) and 95% confidence intervals (CI).

Results

Among 9,264 participants, 3,119 (33.7%) had metabolic syndrome, and 3,482 (37.6%) had ever smoked waterpipe, with both more common in women than in men. In adjusted models, former waterpipe use was significantly associated with prevalence (OR = 1.43, 95% CI: 1.23-1.68) and incidence (OR = 1.57, 95% CI: 1.19-2.06) of the metabolic syndrome while current waterpipe use was not. Past use was associated with increased risk in all components of metabolic syndrome; current use was associated with increases in all except high blood glucose and hypertension. Past waterpipe users had higher waterpipe use intensity (before quitting) in comparison with current users (2.3 vs. 2.0 waterpipes per day, p < 0.01) and had started waterpipe smoking at a younger age (27.2 vs. 30.1 years, p < 0.01).

Conclusion

Waterpipe use was associated with metabolic syndrome and its components, especially among former users potentially due to higher intensity and earlier initiation of use.

Smoking cessation and risk of metabolic syndrome: A meta-analysis

BACKGROUND

Smoking is an important risk factor for various metabolic and cardiovascular disorders, and smoking cessation reduces the risk of these conditions. However, weight gain is commonly observed when individuals quit smoking, which often leads to hesitation in pursuing smoking cessation. Weight gain increases the risk of metabolic syndrome (MS). However, previous studies that investigated the relationship between smoking cessation and MS have yielded inconsistent results. Therefore, we conducted a meta-analysis to evaluate the association between smoking cessation and MS.

METHODS

Medline, Embase, Cochrane Library and CINAHL databases, were comprehensively searched from inception to April 2023, to identify relevant studies examining the relationship between smoking cessation and MS, comparing such relationship to that with active smoking. The methodological quality of the selected studies was assessed using the Newcastle-Ottawa Quality Assessment Scale. A random-effects model was used for meta-analysis.

RESULTS

Of 495 identified studies, 24 were reviewed. The risk of selection bias was identified in all the studies. The overall analysis of 14 studies, including data of combined results for both men and women, revealed an increased risk of MS among ex-smokers compared with that among active smokers (pooled relative risk [RR] 1.18, 95% confidence interval [CI]: 1.08-1.29). From the selected studies, 13 studies analyzing men were extracted for subgroup analysis. Among men, no significant difference in the risk of developing MS was observed between ex-smokers and smokers (pooled RR: 1.05, 95% CI: 0.95-1.17). In men, the risk of MS increased if the cessation period was ≤15 years in men (pooled RR 1.26, 95% CI: 1.01-1.56) and slightly decreased if the cessation period was > 15 years (RR 0.84, 95% CI: 0.70-1.00) in ex-smokers compared with that in current smokers.

CONCLUSION

An increased risk of MS was observed in the early stages of smoking cessation compared with current smoking. As the longer duration of smoking cessation, the risk of MS becomes less significant.

Role of sex and gender-related variables in development of metabolic syndrome: A prospective cohort study

INTRODUCTION

The burden of metabolic syndrome (MetS) and its components has been increasing mainly amongst male individuals. Nevertheless, clinical outcomes related to MetS (i.e., cardiovascular diseases), are worse among female individuals. Whether these sex differences in the components and sequalae of MetS are influenced by gender (i.e., psycho-socio-cultural factors)) is a matter of debate.  Therefore, the purpose of this study was to determine the association between gender-related factors and the development of MetS, and to assess if the magnitude of the associations vary by sex.

METHOD

Data from the Colaus/PsyColaus study, a prospective population-based cohort of 6,734 middle-aged participants in Lausanne (Switzerland) (2003-2006) were used. The primary endpoint was the development of MetS as defined by the Adult Treatment Panel III of the National Cholesterol Education Program. Multivariable models were estimated using logistic regression to assess the association between gender-related factors and the development of MetS. Two-way interactions between sex,  age and gender-related factors were also tested.

RESULTS

Among 5,195 participants without MetS (mean age=51.3 ± 10.6, 56.1 % females), 27.9 % developed MetS during a mean follow-up of 10.9 years. Female sex (OR:0.48, 95 %CI:0.41-0.55) was associated with decreased risk of developing MetS. Conversely, older age, educational attainment less than university, and low income were associated with an increased risk of developing MetS. Statistically significant interaction between sex and strata of age, education, income, smoking, and employment were identified showing that the reduced risk of MetS in female individuals was attenuated in the lowest education, income, and advanced age strata. However, females who smoke and reported being employed demonstrated a decreased risk of MetS compared to males. Conversely smoking and unemployment were significant risk factors for MetS development among male adults.

CONCLUSIONS

Gender-related factors such as income level and educational attainment play a greater role in the development of MetS in female than individuals. These factors represent novel modifiable targets for implementation of sex- and gender-specific strategies to achieve health equity for all people.

Metabolic syndrome and the risk of coronary artery disease among the physicians

Background

Physicians, due to their work and lifestyle patterns, can be at risk for metabolic syndrome (MetS). We aimed to evaluate the prevalence of MetS among physicians and its association with coronary artery disease (CAD).

Materials and methods

This retrospective cross-sectional study collected data on Thai physicians who had medical examination including cardiovascular testing from 14 February to 31 October 2022, in our hospital. Inclusion criteria were those who had complete data for MetS diagnosis per Adult Treatment Panel III criteria and CAD diagnosis information. Outcome measures were prevalence of MetS and CAD prevalence in affected vs non-affected physicians.

Results

Of 1194 physicians, the median age was 48.0±10.29 years. The authors found 4.5% were obese, 30.6% having high blood pressure, 26.6% high fasting blood sugar (FBS), 12.7% high triglycerides, and 13.7% low high-density lipoprotein (HDL). The prevalence of MetS was 8.9%. Increasing age, systolic blood pressure, body mass index, FBS, triglyceride, and decreasing HDL were identified as independent risk factors of MetS. The prevalence of CAD was 11.4%: 47.2% vs. 7.9% among the physicians with and without MetS respectively (odds ratio 10.41: 95% CI, 6.70-16.16%, P<0.001).

Conclusion

The prevalence of MetS among Thai physicians in this study was 8.9%. Those physicians with MetS were associated with a 10-fold higher risk of CAD. Physicians who were at risk of developing MetS should consider modifying their health habits and being vigilant about the potential consequences of CAD. Further prospective cohort studies are warranted to validate these results.

Cigarette smoking and PM2.5 might jointly exacerbate the risk of metabolic syndrome

Background

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.

Methods

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.

Results

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).

Conclusion

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.

Interactive associations of smoking and physical activity with metabolic syndrome in adult men in Korea

Introduction

This study aimed to investigate the association of smoking and physical activity (PA) with metabolic syndrome (MetS) in adult men in Korea.

Methods

This study analyzed data of 7,229 adult men aged 19-64 years obtained from the 2014-2021 Korea National Health and Nutrition Examination Survey (KNHANES). Information on smoking habits was obtained using KNHANES data, while that on total PA (TPA), leisure-time PA (LTPA), and occupational PA (OPA) was collected using the Global Physical Activity Questionnaire. Smoking status was classified into non-smokers and smokers, and PA was categorized into three groups (total, leisure time, and occupational) according to the time spent engaging in moderate or high-intensity PA areas. The diagnosis of MetS was based on the Adult Treatment Program III of the National Cholesterol Education Program and Koreans' waist circumference criteria.

Results

Logistic regression revealed that the risk of MetS was significantly lower in non-smokers than in smokers, even after adjusting for all covariates. The risk of MetS was significantly lower in individuals who engaged in at least 150 min of moderate- and high-intensity TPA or LTPA per week than in those who did not engage in PA. Furthermore, smokers who engaged in at least 150 min of moderate- to high-intensity TPA and LTPA per week had a significantly lower risk of MetS than those who did not engage in PA. Meanwhile, OPA was not associated with MetS.

Conclusion

The findings suggest that engaging in moderate- to high-intensity TPA or LTPA for at least 150 min per week attenuates the risk of MetS caused by smoking.

Prevalence and factors associated with metabolic syndrome in university students and academic staff in Bangladesh

Metabolic syndrome (MetS) is a group of medical conditions that increase the risk of cardiovascular disease, stroke, and type 2 diabetes. While there are numerous studies on the prevalence of MetS in the general adult population worldwide, limited information exists regarding its prevalence among university students and academic staff. This study aimed to determine the prevalence of MetS and associated risk factors among Bangladesh university students and academic staff. For this cross-sectional study, 583 participants were randomly selected from university students (n = 281) and academic staff (n = 302) in Bangladesh. The participants' fasting blood samples were collected, and their serum lipid profile levels, fasting blood glucose, and other parameters were measured using standard methods. MetS was defined according to the NCEP-ATP III model guidelines. Additionally, a questionnaire was administered to the participants to gather information on socio-demographics, lifestyle risk behaviours, and personal medical history. Multivariate logistic regression models were used to determine the risk factors associated with MetS. Overall, the prevalence of MetS was 27.7% in students and 47.7% in staff. There was a significant difference (p < 0.01) in MetS prevalence between male students (34.8%) and female students (17.2%). In contrast, it was comparatively higher in female staff (52.3%) than in male staff (45.8%), although the difference was not statistically significant. The prevalence of MetS and its components increased with age in student and staff groups. The most common component of MetS was low levels of HDL-C, which affected 78% and 81.4% of the students and staff, respectively. Logistic regression modelling showed that increased age, BMI, hypertension, dyslipidemia, low physical activity, and smoking were significantly associated with MetS in students (at least p < 0.05 for all cases). On the other hand, increased age and BMI, hypertension, and dyslipidemia were significantly associated with MetS in academic staff (at least p < 0.05 for all cases). In conclusion, this study indicates a high prevalence of MetS in university students and staff in Bangladesh. Age, BMI, hypertension and dyslipidemia were independently associated with the risk of MetS in both groups. The findings emphasize the importance of interventions for students and staff in academic settings in Bangladesh. It is crucial to implement health promotion activities such as healthy diet and exercise programs more rigorously. Further research with more representative samples is needed to get more clear insights into MetS prevalence in this particular population subgroup for targeted interventions.

The effect of smoking on latent hazard classes of metabolic syndrome using latent class causal analysis method in the Iranian population

BACKGROUND

The prevalence of metabolic syndrome is increasing worldwide. Clinical guidelines consider metabolic syndrome as an all or none medical condition. One proposed method for classifying metabolic syndrome is latent class analysis (LCA). One approach to causal inference in LCA is using propensity score (PS) methods. The aim of this study was to investigate the causal effect of smoking on latent hazard classes of metabolic syndrome using the method of latent class causal analysis.

METHODS

In this study, we used data from the Tehran Lipid and Glucose Cohort Study (TLGS). 4857 participants aged over 20 years with complete information on exposure (smoking) and confounders in the third phase (2005-2008) were included. Metabolic syndrome was evaluated as outcome and latent variable in LCA in the data of the fifth phase (2014-2015). The step-by-step procedure for conducting causal inference in LCA included: (1) PS estimation and evaluation of overlap, (2) calculation of inverse probability-of-treatment weighting (IPTW), (3) PS matching, (4) evaluating balance of confounding variables between exposure groups, and (5) conducting LCA using the weighted or matched data set.

RESULTS

Based on the results of IPTW which compared the low, medium and high risk classes of metabolic syndrome (compared to a class without metabolic syndrome), no association was found between smoking and the metabolic syndrome latent classes. PS matching which compared low and moderate risk classes compared to class without metabolic syndrome, showed that smoking increases the probability of being in the low-risk class of metabolic syndrome (OR: 2.19; 95% CI: 1.32, 3.63). In the unadjusted analysis, smoking increased the chances of being in the low-risk (OR: 1.45; 95% CI: 1.01, 2.08) and moderate-risk (OR: 1.68; 95% CI: 1.18, 2.40) classes of metabolic syndrome compared to the class without metabolic syndrome.

CONCLUSIONS

Based on the results, the causal effect of smoking on latent hazard classes of metabolic syndrome can be different based on the type of PS method. In adjusted analysis, no relationship was observed between smoking and moderate-risk and high-risk classes of metabolic syndrome.

Childhood internalizing and externalizing problems and cardiovascular and diabetes mellitus risk in adolescence

BACKGROUND

Among adults, common psychopathology is a risk factor for cardiovascular diseases (CVD) and type 2 diabetes mellitus (T2DM). We investigated whether childhood internalizing and externalizing problems are prospectively associated with clinically elevated CVD and T2DM risk factors in adolescence.

METHODS

Data were from the Avon Longitudinal Study of Parents and Children. Childhood internalizing (emotional) and externalizing (hyperactivity and conduct) problems were rated on the Strengths and Difficulties Questionnaire (parent version) (N = 6442). BMI was measured at age 15 and triglycerides, low-density lipoprotein cholesterol and homeostasis model assessment of insulin resistance, IR, were assessed at age 17. We estimated associations using multivariate log-linear regression. Models were adjusted for confounding and participants attrition.

RESULTS

Children with hyperactivity or conduct problems were more likely to become obese and to develop clinically high levels of triglycerides and HOMA-IR in adolescence. In fully adjusted models, IR was associated with hyperactivity (relative risk, RR = 1.35, 95 % confidence interval, CI = 1.00-1.81) and conduct problems (RR = 1.37, CI = 1.06-1.78). High triglycerides were associated with hyperactivity (RR = 2.05, CI = 1.41-2.98) and with conduct problems (RR = 1.85, CI = 1.32-2.59). BMI only minimally explained these associations. Emotional problems were not associated with increased risk.

LIMITATIONS

Residual attrition bias, reliance on parent's reports of children's behaviors, non-diverse sample.

CONCLUSIONS

This research suggests that childhood externalizing problems might be a novel independent risk factor for CVD/T2DM. Future research should corroborate these findings and investigate mechanisms. Pediatricians may need to assess and treat CVD/T2DM risk factors in adolescents with a history of externalizing problems.

The Effects of Smoking on the Diagnostic Characteristics of Metabolic Syndrome: A Review

Metabolic syndrome is a growing epidemic that increases the risk for cardiovascular disease, diabetes, stroke, and mortality. It is diagnosed by the presence of three or more of the following risk factors: 1) obesity, with an emphasis on central adiposity, 2) high blood pressure, 3) hyperglycemia, 4) dyslipidemia, with regard to reduced high-density lipoprotein concentrations, and 5) dyslipidemia, with regard to elevated triglycerides. Smoking is one lifestyle factor that can increase the risk for metabolic syndrome as it has been shown to exert negative effects on abdominal obesity, blood pressure, blood glucose concentrations, and blood lipid profiles. Smoking may also negatively affect other factors that influence glucose and lipid metabolism including lipoprotein lipase, adiponectin, peroxisome proliferator-activated receptors, and tumor necrosis factor-alpha. Some of these smoking-related outcomes may be reversed with smoking cessation, thus reducing the risk for metabolic disease; however, metabolic syndrome risk may initially increase post cessation, possibly due to weight gain. Therefore, these findings warrant the need for more research on the development and efficacy of smoking prevention and cessation programs.

Meta-analysis of the effects of smoking and smoking cessation on triglyceride levels

Smoking increases lipid levels, including triglycerides, leading to increased cardiovascular disease risk. We performed a meta-analysis to quantify the effects of smoking and smoking cessation on triglyceride levels. The PubMed and Scopus databases were searched to identify studies reporting either triglyceride levels in smokers and non-smokers or the effects of smoking cessation on triglyceride levels. Fixed- and random-effects models were used to perform the analyses when three or more studies/comparisons were available. We identified 169 and 21 studies evaluating the effects of smoking and smoking cessation, respectively, on triglyceride levels. Triglyceride levels were 0.50 mmol/L (95% confidence interval: 0.49-0.50 mmol/L) higher in smokers than non-smokers, but the effect differed widely across studies. No statistically significant effect was observed on triglyceride levels between baseline and 6 weeks (mean difference [MD] = 0.02 [-0.09, 0.12] mmol/L), 2 months (MD = 0.03 [-0.21, 0.27] mmol/L), 3 months (MD = 0.08 [-0.03, 0.21] mmol/L), or 1 year (MD = 0.04 [-0.06, 0.14] mmol/L) after quitting. However, a slightly significant decrease in triglyceride levels was observed at 1 month after cessation (MD = -0.15 [-0.15, -0.01] mmol/L). The results of this meta-analysis provide a basis for understanding the effects of smoking and smoking cessation on triglyceride levels, which could have important implications for public health.

Association between life-course cigarette smoking and metabolic syndrome: a discovery-replication strategy

BACKGROUND

The relation between cigarette smoking and metabolic syndrome (MetS) remains unclear, and previous studies focusing on MetS are limited in sample size. We investigated the association between life-course smoking and MetS with independent discovery and replication samples.

METHODS

Preliminary analysis utilized data from an annual cross-sectional survey of 15,222 participants aged ≥ 60 years in Tianjin, China. Suggestive associations were followed-up in 8565 adults from the China Health and Nutrition Survey. MetS was identified according to the criteria of the Chinese Diabetes Society in 2013. Life-course smoking was assessed by a comprehensive smoking index (CSI), based on information on smoking intensity, duration, and time since cessation across life-course, collected through standard questionnaires. Participants were divided into four groups: non-smokers; and the tertiles of CSI in ever smokers. Multivariable logistic regression was used to estimate odds ratios (ORs) and 95% confidence intervals (CIs) for the association between life-course smoking and MetS.

RESULTS

In the discovery sample, ORs of MetS were 2.01 (95%CI: 1.64-2.47) and 1.76 (95%CI: 1.44-2.16) for smokers in the highest and second tertile of CSI compared with never smokers. Potential interaction was shown for age, with increased ORs for MetS associated with smoking limited to individuals who aged < 70 years (P_interaction = 0.015). We were able to replicate the association between cigarette smoking and MetS in an independent adult sample (second tertile vs. never: OR = 1.30, 95%CI: 1.04-1.63). The interaction of smoking with age was also replicated.

CONCLUSIONS

Life-course cigarette smoking is associated with an increased odds of MetS, especially among individuals who aged < 70 years.

The relationship between smoking cigarettes and metabolic syndrome: A cross-sectional study with non-single residents of Seoul under 40 years old

Introduction

Young adults receive health screenings at lower rates than other age groups, and it may be difficult to detect diseases in the early stages for this group. We examined differences in health status relative to smoking in a young age group using the results of health screenings conducted in engaged and newly married couples in a cross-sectional database.

Methods

The participants in this study were 808 young adults who visited a municipal hospital health screening center from July 2017 to March 2019. They completed a self-administered questionnaire, and physical measurements and a blood test were taken. They were classified into non-cigarette smokers, past cigarette smokers, and current cigarette smokers according to smoking behavior. In this study, we compared metabolic syndrome, the main components of which include obesity, high blood pressure, high blood triglycerides, low levels of HDL cholesterol and insulin resistance, with smoking behavior.

Results

The mean age of the participants was 30.9±3.3 years (males 32.0±3.2, females 29.8±3.1), and 13.9% were current cigarette smokers (males 22.8%, females 5.1%). The proportion of men in their 30s was 76.6% for male group and 50.0% for female group, indicating that the male group had a relatively higher proportion of older and current smokers. Significant differences were found in age, sex, blood pressure, metabolic abnormalities, and drinking status according to smoking status. Cigarette smokers had a 2.4-fold greater risk of metabolic syndrome (95% confidence interval [CI], 1.43–3.96) than non-cigarette smokers; in particular, they had a 2.6-fold (95% CI, 1.44–4.55) greater risk of hypertriglyceridemia and a three-fold (95% CI, 1.45–6.35) greater risk of low HDL cholesterol.

Conclusions

In comparison with non-single, young and generally healthy city dwellers, the risk of metabolic syndrome was significantly higher in smokers than in non-smokers, and in particular, it was confirmed that the risk of hypertriglyceridemia and low HDL cholesterolemia was higher. Smoking cessation is necessary, even for the young, because smoking may cause changes in blood lipids even if the smoking duration is short.

Smoking, development of or recovery from metabolic syndrome, and major adverse cardiovascular events: A nationwide population-based cohort study including 6 million people

Smoking, metabolic syndrome (MetS), and major adverse cardiovascular events (MACEs) are important global health problems. We aimed to investigate the association between smoking, alteration in MetS status, and the consequent risk of MACE. We performed a nationwide observational cohort study based on the claims database of Korea. We included people with ≥ 3 national health screenings from 2009 to 2013. Total 6,099,717 people, including 3,576,236 nonsmokers, 862,210 ex-smokers, 949,586 light-to-moderate smokers, and 711,685 heavy smokers, at the first health screening, were investigated. First, we performed a logistic regression analysis using smoking status at the first screening as the exposure variable and MetS development or recovery as the outcome variable. Second, we performed a Poisson regression using smoking status at the third screening as the exposure variable and the outcome was risk of incident MACEs. Among those previously free from MetS (N = 4,889,493), 347,678 people developed MetS, and among those who had previous MetS (N = 1,210,224), 347,627 people recovered from MetS. Smoking was related to a higher risk of MetS development [for heavy smokers: adjusted OR 1.71 (1.69 to 1.73)] and a lower probability of MetS recovery [for heavy smokers: adjusted OR 0.68 (0.67 to 0.69)]. Elevated triglycerides was the MetS component with the most prominent association with smoking. The risk for incident MACEs (78,640 events during a median follow-up of 4.28 years) was the highest for heavy smokers, followed in order by light-to-moderate, ex-smokers and nonsmokers, for every MetS status. Therefore, smoking may promote MetS or even hinder recovery from MetS. Smoking cessation should be emphasized to reduce MACE risk even for those without MetS.

Smoking and Endothelial Dysfunction

Cigarette smoking is one of the most important health concerns worldwide. Even though the rate of smoking is declining in developed countries, it is still experiencing growth in developing regions. Many studies have examined the relationship between smoking, as an established risk factor, and cardiovascular diseases. We provide an updated review of the underlying mechanisms of smokinginduced cardiovascular diseases, with a focus on the relationship between smoking and oxidative stress, particularly from the perspective of endothelial cell dysfunction. We review smoking-induced oxidative stress as a trigger for a generalized vascular inflammation associated with cytokine release, adhesion of inflammatory cells and, ultimately, disruption of endothelial integrity as a protective barrier layer. We also briefly discuss the harms related to the vaping of electronic cigarettes, which many erroneously consider as a safe alternative to smoking. We conclude that even though e-cigarette could be a helpful device during the transition period of cigarette quitting, it is by no means a safe substitute.

Association of Cardiometabolic Multimorbidity Pattern with Dietary Factors among Adults in South Korea

Globally, cardiometabolic multimorbidity pattern (CMP) is a complex chronic health status that negatively effects the life expectancy of adults globally, even more than single diseases. We aimed to identify multimorbidity patterns in Korean adults to clarify the associations between dietary factors and CMP. Nationally representative data of 9011 Korean adults aged 19–64 years were obtained from the Korean National Health and Nutrition Examination Survey (KNHANES) from the period 2013 to 2015. Multimorbidity patterns for CMP, inflammatory disease, cancer and other disease patterns were identified by exploratory factor analysis. Dietary factors including food and nutrient intake and dietary habits were evaluated. Multivariable-adjusted logistic regression models examined the associations between dietary factors and CMP. More than half of the multimorbidity patterns were CMP (n = 4907, 54.5%); CMP subjects were more likely to be older, male, less educated, lower income, laborers, smokers, and high-risk consumers of alcohol than those of non-CMP subjects. A higher intake of calcium (OR = 0.809, 95% CI = 0.691–0.945), potassium (OR = 0.838, 95% CI = 0.704–0.998), and fruits (OR = 0.841, 95% CI = 0.736–0.960) were inversely associated with the prevalence of CMP, while the consumption of irregular meals (OR = 1.164, 95% CI = 1.034–1.312) and skipping breakfast (OR = 1.279, 95% CI = 1.078–1.518) was positively related to a 16% and 28% higher likelihood of CMP, respectively. CMP accounts for more than half of the multimorbidity patterns in the Korean population, and lower intake of calcium, potassium, fruits, and skipping meals have strong associations with CMP.

Acute Myocardial Infarction among Young Adult Men in a Region with Warm Climate: Clinical Characteristics and Seasonal Distribution

The aim of this cross sectional study was to investigate the influence of the seasons on acute myocardial infarction (AMI) among young adult among young adults aged <45 years compared to old adults aged ≥45 years. The seasonal distribution of AMI hospital admissions among young adult men in eastern Taiwan was assessed. Data were extracted from 1413 male AMI patients from January 1994 to December 2015, including onset date, the average temperature (Tave) on the date of AMI hospitalization (AMI-Tave), and conventional risk factors, notably smoking, diabetes, hypertension, total cholesterol, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, triglycerides, and body mass index (BMI). The 1413 cases were divided into two groups: the young group (n = 138, <45 y/o) and the older group (n = 1275, ≥45 y/o). The differences between groups were examined. Logistic regression analyses were used to evaluate the associations between the seasons and the AMI hospitalization among the young group. The young group showed significantly higher percentage of smokers, BMI, total cholesterol levels, and triglycerides levels but lower percentage of diabetes and hypertension than the older group (p < 0.05). AMI hospitalization in winter was significantly greater compared to the other seasons among the young group (p < 0.05). Winter hospitalization was significantly associated with the young group relative to the older group (adjusted OR 1.750; 95% CI 1.151 to 2.259), while winter AMI-Tave in the young group was similar to that in the older group. Young adult men diagnosed with AMI are more likely than older adult men to be smokers, obese, and show an onset dependent on winter but not low-temperature in a region with a warm climate.

Prevalence of metabolic syndrome and its association with risk factors in patients with established atherosclerosis disease

Risk factors can lead to clinical conditions, like metabolic syndrome, that predisposes the development of cardiovascular diseases. The aim of this study was to describe the prevalence and which risk factors cause more impact in metabolic syndrome in patients with established atherosclerosis disease. A cross-sectional study was performed as a subanalysis of Programa Alimentação Cardioprotetora Brasileira. Weight, height, waist circumference, blood pressure, lipid profile and fasting glucose were collected. Metabolic syndrome was defined according to the harmonized criteria. Linear regression was used to analyze the association between number of components of metabolic syndrome and risk factors. 82 patients were included and the prevalence of metabolic syndrome was 84.1%. Being overweight was associated with an increase by 0.55 point in diagnostic criteria of metabolic syndrome in crude analysis (95%CI 0.09-1.00) and 0.64 in adjusted analysis (95%CI 0.18-1.09), while former/current smoker status was responsible for raising by 0.48 the number of components of metabolic syndrome, only in adjusted analysis (95%CI 0.04-0.92). Overweight and former/current smoker status are associated with MS, increasing the probability of atherosclerotic events. A healthy lifestyle, that includes avoiding tobacco exposure and proper weight control, must be encouraged in this high-risk population.

The Effect of Smoking and Sex on the Association Between Long-term Alcohol Consumption and Metabolic Syndrome in a Middle-aged and Older Population

Background

The effect of smoking and sex on the relationship between alcohol consumption and risk of developing metabolic syndrome (MetS) and its components has not been investigated.

Methods

A total of 5,629 Korean adults aged 40–69 years without MetS were recruited at baseline. Alcohol consumption was assessed biennially, and participants were classified as never, light, moderate, or heavy drinkers. Smoking status was examined at baseline and categorized into non-smokers and current smokers. Risk of incident MetS and its components according to alcohol consumption was examined by smoking status and sex using a multivariate Cox proportional hazards model.

Results

During a follow-up of 12 years, 2,336 participants (41.5%) developed MetS. In non-smokers, light or moderate alcohol drinkers had a lower risk of developing MetS, abdominal obesity, hyperglycemia, hypertriglyceridemia, and low HDL-C compared with never drinkers. Heavy alcohol consumption was associated with a higher risk of incident elevated blood pressure (hazard ratio [HR] 1.48; 95% confidence interval [CI], 1.07–2.06; P = 0.020) in men and abdominal obesity (HR 1.86; 95% CI, 1.06–3.27; P = 0.030) in women. However, in smokers, the inverse association of light or moderate alcohol consumption with hypertriglyceridemia and abdominal obesity was not present, whereas a positive association between heavy alcohol consumption and hyperglycemia (HR 1.39; 95% CI, 1.07–1.80; P = 0.014) was observed.

Conclusions

Smoking status and sex strongly affects the association between long-term alcohol consumption and MetS and its components by the amount of alcohol consumed.

Proinflammatory Dietary Intake is Associated with Increased Risk of Metabolic Syndrome and Its Components: Results from the Population-Based Prospective Study

Metabolic syndrome (MetS) is a major public health challenge throughout the world, although studies on its association with the inflammatory potential of diet are inconsistent. The aim of this prospective study was to assess the association between the Dietary Inflammatory Index (DII^®) and the risk of MetS and its components in a Korean population. Data from 157,812 Korean adults (mean age 52.8 years; 53,304 men and 104,508 women with mean follow-up of 7.4 years) collected by members of the Korean Genome and Epidemiology Study form the basis for this report. DII scores were calculated based on Semi-Quantitative Food-Frequency Questionnaire data. Multivariable-adjusted Cox proportional hazard models were used to estimate the association between DII scores and MetS. In women, higher DII scores (pro-inflammatory diet) increased the risk of MetS (hazard ratio [HR]_{quintile5 v. 1} 1.43; 95% confidence interval (CI) 1.21–1.69; p for trend ≤ 0.0001) and its five components. A positive association was observed for postmenopausal women, with a 50% higher risk of developing MetS (HR_{quintile5 v. 1} 1.50; 95% CI 1.23–1.83; p for trend = 0.0008) after fully adjusting for potential confounders. Irrespective of the menopausal status of women, higher DII (=Q5) scores were positively associated with all 5 components of MetS (p < 0.05). In men, higher DII scores significantly increased the risk of low HDL cholesterol [HR]_{quintile5 v. 1} 1.59 (1.27–1.99); p for trend = 0.0001], elevated waist circumferences [HR]_{quintile5 v. 1} 1.28 (1.08–1.52); p for trend = 0.01], and high blood pressure [HR]_{quintile5 v. 1} 1.17 (1.03–1.32); p for trend = 0.05]. These results indicate that diet with pro-inflammatory potential, as represented by higher DII scores, is prospectively associated with increased risk of MetS, and the relationship is stronger in women than in men.

Leisure-Time Physical Activity, Sedentary Behaviour and Diet Quality are Associated with Metabolic Syndrome Severity: The PREDIMED-Plus Study

Healthy lifestyle factors, such as physical activity (PA) and Mediterranean diet (MD), decrease the likelihood of developing metabolic syndrome (MetS). The aim of this study was to report main lifestyle components and related factors according to the MetS severity. Cross-sectional analysis was done of baseline lifestyle factors from 5739 participants with overweight/obesity and MetS features (aged 55–75 years) included in the PREDIMED-PLUS primary cardiovascular prevention randomized trial. Participants were categorized in tertiles according to a validated MetS severity score (MetSSS). Anthropometrics, visceral adiposity index, dietary nutrient intake, biochemical marker levels, as well as a Dietary Inflammatory Index and depression symptoms (Beck Depression Inventory-II) were measured. Diet quality was assessed using a 17-item energy-restricted MD questionnaire. Duration and intensity of PA was self-reported using the Minnesota-REGICOR Short Physical Activity Questionnaire. Sedentary behaviours were measured using the Spanish version of the Nurses’ Health Study questionnaire. The 30 s chair stand test was also assessed. Participants with highest MetSSS showed higher values of cardiovascular risk factors (except for total cholesterol and LDL cholesterol), depression risk, sedentary and TV viewing time, and lower moderate and vigorous leisure-time physical activity (LTPA). Highest MetSSS participants tended to a pro-inflammatory dietary pattern and tended to lower MD adherence. In addition, they showed lower carbohydrate and nut intake and higher intake of protein, saturated and trans fatty acids, cholesterol, iodine, sodium, red and processed meat products, other oils different from olive oil and spirit alcoholic drinks. The highest MetS severity score was associated with lower moderate and vigorous LTPA and higher sedentary time and depression risk, as they tended to a pro-inflammatory dietary pattern and lower MD adherence.

Smoking cessation is related to change in metabolic syndrome onset: A rural cohort study

INTRODUCTION

Relatively few, mainly cross-sectional, studies have examined the relationship between smoking cessation and metabolic syndrome (MetS). In particular, information on smoking cessation after MetS is limited. This study aimed to investigate the probability of smoking cessation after the onset of MetS.

METHODS

In this study we used cohort data from a rural area of Korea and extracted the data of 1054 smokers who were identifiable at baseline and were followed up. Of these, 1041 individuals were selected. Descriptive statistical analyses were performed to identify the basic characteristics of smokers. Multiple logistic regression was performed to determine the association between changes in MetS and smoking cessation.

RESULTS

The probability of smoking cessation was 1.84 times higher in the newly developed MetS cohort than in the reference group (without MetS at any time point), and it was 1.61 times higher in the persistent MetS cohort than in the reference group, with both probabilities being significant.

CONCLUSIONS

We found that patients with MetS were more likely to quit smoking than those without MetS. However, intervention is still needed, as numerous patients with MetS continued to smoke. Interventions that actively involve medical institutions or organizations are among the most effective approaches to promote smoking cessation in patients with MetS. In particular, women, farmers and current drinkers should be prioritized.

From Pre-Diabetes to Diabetes: Diagnosis, Treatments and Translational Research

Diabetes, a silent killer, is one of the most widely prevalent conditions of the present time. According to the 2017 International Diabetes Federation (IDF) statistics, the global prevalence of diabetes among the age group of 20-79 years is 8.8%. In addition, 1 in every 2 persons is unaware of the condition. This unawareness and ignorance lead to further complications. Pre-diabetes is the preceding condition of diabetes, and in most of the cases, this ultimately leads to the development of diabetes. Diabetes can be classified into three types, namely type 1 diabetes, type 2 diabetes mellitus (T2DM) and gestational diabetes. The diagnosis of both pre-diabetes and diabetes is based on glucose criteria; the common modalities used are fasting plasma glucose (FPG) test and oral glucose tolerance test (OGTT). A glucometer is commonly used by diabetic patients to measure blood glucose levels with fast and rather accurate measurements. A few of the more advanced and minimally invasive modalities include the glucose-sensing patch, SwEatch, eyeglass biosensor, breath analysis, etc. Despite a considerable amount of data being collected and analyzed regarding diabetes, the actual molecular mechanism of developing type 2 diabetes mellitus (T2DM) is still unknown. Both genetic and epigenetic factors are associated with T2DM. The complications of diabetes can predominantly be classified into two categories: microvascular and macrovascular. Retinopathy, nephropathy, and neuropathy are grouped under microvascular complications, whereas stroke, cardiovascular disease, and peripheral artery disease (PAD) belong to macrovascular complications. Unfortunately, until now, no complete cure for diabetes has been found. However, the treatment of pre-diabetes has shown significant success in preventing the further progression of diabetes. To prevent pre-diabetes from developing into T2DM, lifestyle intervention has been found to be very promising. Various aspects of diabetes, including the aforementioned topics, have been reviewed in this paper.

Prevalence and associations of behavioural risk factors with blood lipids profile in Lebanese adults: findings from WHO STEPwise NCD cross-sectional survey

OBJECTIVE

To examine associations of behavioural risk factors, namely cigarette smoking, physical activity, dietary intakes and alcohol consumption, with blood lipids profile.

DESIGN AND PARTICIPANTS

Data drawn from a cross-sectional study involving participants aged 18 years and over (n=363) from the nationwide WHO STEPwise Nutrition and Non-communicable Disease Risk Factor survey in Lebanon.

MEASURES

Demographic characteristics, behaviours and medical history were obtained from participants by questionnaire. Dietary assessment was performed using a 61-item Culture-Specific Food Frequency Questionnaire that measured food intake over the past year. Lipid levels were measured by the analysis of fasting blood samples (serum total cholesterol (TC), triglycerides (TG), very low-density lipoprotein (VLDL), low-density lipoprotein cholesterol (LDL-C) and high-density lipoprotein cholesterol (HDL-C)).

RESULTS

Current cigarette smoking, alcohol consumption and low physical activity were prevalent among 33.3%, 39.7% and 41.6% of the sample, respectively. The contributions of fat and saturated fat to daily energy intake were high, estimated at 36.5% and 11.4%, respectively. Abnormal levels of TC, TG, VLDL, LDL-C and HDL-C were observed for 55.4%, 31.4%, 29.2%, 47.5% and 21.8% of participants, respectively. Adjusting for potential confounders, cigarette smoking was positively associated with higher odds of TG and VLDL (OR=4.27; 95% CI 1.69 to 10.77; and 3.26; 95% CI 1.33 to 8.03, respectively) with a significant dose-response relationship (p value for trend=0.010 and 0.030, respectively). Alcohol drinking and high saturated fat intake (≥10% energy intake) were associated with higher odds of LDL-C (OR=1.68; 95% CI 1.01 to 2.82 and OR= 1.73; 95% CI 1.02 to 2.93). Physical activity did not associate significantly with any blood lipid parameter.

CONCLUSION

The demonstrated positive associations between smoking, alcohol drinking and high saturated fat intake with adverse lipoprotein levels lay further evidence for clinical practitioners, public health professionals and dietitians in the development of preventive strategies among subjects with a high risk of cardiovascular diseases in Lebanon and other neighbouring countries with similar epidemiological profile.

Association between Periodontitis and Metabolic Syndrome in a Korean Nationally Representative Sample of Adults Aged 35-79 Years

This study aimed to evaluate the association between periodontitis and metabolic syndrome (MetS) and to investigate risk factors associated with MetS in Korean adults aged 35 to 79 years. Among individuals aged 35-79 years who participated in the Korea National Health and Nutrition Examination Survey 2013-2015, 8314 participants who completed the required examinations and questionnaires were included. Confounding variables related to demographic and socioeconomic status and systemic and oral health-related behaviors were age, gender, household income, education level, smoking, alcohol intake, physical activity, and frequency of daily toothbrushing. Of the 8314 participants, 32.2% were diagnosed with MetS. The prevalence of MetS was 26.6% and 41.6% in those without and with periodontitis, respectively. Among individuals with periodontitis, the prevalence of MetS was 44.3% in males and 36.9% in females. Compared to non-periodontitis, periodontitis was associated with MetS (adjusted OR = 1.422, 95% CI: 1.26-1.61). Age, frequency of daily toothbrushing, and periodontitis were associated with MetS in both males and females. While current smoking and alcohol intake more than twice a week were significantly associated with MetS in males, household income and education level were significantly associated with MetS in females. The findings suggest that periodontitis can be associated with MetS.

Pathobiological mechanisms underlying metabolic syndrome (MetS) in chronic obstructive pulmonary disease (COPD): clinical significance and therapeutic strategies

Chronic obstructive pulmonary disease (COPD) is a major incurable global health burden and is currently the 4th largest cause of death in the world. Importantly, much of the disease burden and health care utilisation in COPD is associated with the management of its comorbidities (e.g. skeletal muscle wasting, ischemic heart disease, cognitive dysfunction) and infective viral and bacterial acute exacerbations (AECOPD). Current pharmacological treatments for COPD are relatively ineffective and the development of effective therapies has been severely hampered by the lack of understanding of the mechanisms and mediators underlying COPD. Since comorbidities have a tremendous impact on the prognosis and severity of COPD, the 2015 American Thoracic Society/European Respiratory Society (ATS/ERS) Research Statement on COPD urgently called for studies to elucidate the pathobiological mechanisms linking COPD to its comorbidities. It is now emerging that up to 50% of COPD patients have metabolic syndrome (MetS) as a comorbidity. It is currently not clear whether metabolic syndrome is an independent co-existing condition or a direct consequence of the progressive lung pathology in COPD patients. As MetS has important clinical implications on COPD outcomes, identification of disease mechanisms linking COPD to MetS is the key to effective therapy. In this comprehensive review, we discuss the potential mechanisms linking MetS to COPD and hence plausible therapeutic strategies to treat this debilitating comorbidity of COPD.

Association of self-reported and cotinine-verified smoking status with incidence of metabolic syndrome in 47 379 Korean adults

BACKGROUND

The relationship of cotinine-verified vs self-reported smoking status with the incidence of metabolic syndrome (MetS) is not known. This study investigated the effect of urinary cotinine-verified vs self-reported smoking status on incident MetS.

METHODS

In all, 47 379 participants without MetS enrolled in the Kangbuk Samsung Health Study and Kangbuk Samsung Cohort Study between 2011 and 2012 (baseline) were included in this study and followed-up in 2014; median follow-up duration was 25 months. Cotinine-verified current smoking was defined as urinary cotinine concentrations >50 ng/mL. According to cotinine-verified smoking status at baseline and follow-up, individuals were divided into four groups: never, new, former, and sustained smokers.

RESULTS

The incidence of MetS in the never, former, new, and sustained smoking groups was 9.9%, 19.4%, 21.4%, and 18.7%, respectively. Multivariate Cox hazard regression analyses revealed that the relative risk (RR) for incident MetS in cotinine-verified former smokers was significantly increased compared with that in cotinine-verified never smokers (RR 1.27; 95% confidence interval [CI] 1.16-1.37), especially in individuals exhibiting weight gain (≥2 kg). These results were consistent with those of self-reported smoking status. Baseline cotinine-verified current smoking (RR 1.09; 95% CI 1.03-1.15) and self-reported former (RR 1.10; 95% CI 1.02-1.18) and current (RR 1.15; 95% CI 1.07-1.23) smoking were also significantly associated with incident MetS.

CONCLUSIONS

This large observational study showed that cotinine-verified and self-reported former smoking during follow-up increased the risk for incident MetS, especially in individuals exhibiting weight gain (≥2 kg). This suggests that weight control in former smokers would be very important to reduce the development of MetS.

The Association Between Smoking Cessation Period and Metabolic Syndrome in Korean Men

The association between smoking cessation period and metabolic syndrome (MS) is currently unknown. We studied 6032 men aged >19 years who participated in the Korean National Health and Nutrition Examination Surveys between 2010 and 2012. The risk of MS according to the amount of smoking and duration of smoking cessation was examined, and adjusted for age, amount of alcohol consumed, physical activity, body mass index, income, and education levels. Compared with never-smokers, there was a significant increase in the risk of MS among current smokers >10 pack-years and former smokers with a history of pack-years >30. The odds ratio for MS increased with smoking amount in both current and former smokers. But the risk of MS in former smokers was no longer significant after 20 years of smoking cessation adjusted for past smoking amount. Thus, to prevent MS, current smokers should quit smoking early and former smokers should continue quitting.

The Prevalence of Obesity and Metabolic Syndrome in the Korean Military Compared with the General Population

BACKGROUND

Obesity and related metabolic disorders are growing health challenges worldwide and individuals at military service are not exceptions. The purpose of this study was to examine the prevalence of obesity and metabolic syndrome (MS) in the Korean military and to compare with the general population.

METHODS

This was a cross-sectional study of 4,803 young military participants who underwent a corporal health-screening program between October 2013 and October 2014. The National Cholesterol Education Program Adult Treatment Panel III criteria was used to identify MS. We also sampled 1,108 men aged 19-29 years from the Korea National Health and Nutritional Examination Survey from 2010 to 2013 to compare with their military counterparts.

RESULTS

The mean age of military participants was 20.8 ± 1.1 years, and 20.6% (n = 988) were obese. The prevalence of MS was 0.8% in military participants, while 7.9% in general population. The risk factors of MS were less prominent among military participants relative to civilians, with the exception of high blood pressure, of which prevalence was higher among military participants (21.5% vs. 18.2%, respectively). In multiple logistic analysis, high physical activity conferred lower odds of MS and obesity in military participants (odds ratios, 0.19 and 0.81, respectively). Age older than 25 years increased risk of most components of MS among civilians.

CONCLUSION

The prevalence of obesity and MS is lower in military participants compared with civilians of similar age. Monitoring of high blood pressure and proper stress management are warranted in those at military service.

Cigarette smoking and metabolic syndrome components: a cross-sectional study from Maracaibo City, Venezuela

Background: A growing body of evidence suggests that cigarette smoking can cause the onset of metabolic syndrome prior to cardiovascular diseases. Therefore, the objective of this study was to evaluate the relationship between smoking habit and metabolic syndrome components in an adult population from Maracaibo city, Venezuela. Methods: The Maracaibo City Metabolic Syndrome Prevalence Study is a descriptive, cross-sectional study with random and multi-stage sampling. In this sub-study, 2212 adults from both genders were selected. On the basis of their medical background, they were classified as smokers, non-smokers and former smokers. Metabolic syndrome was defined according to Harmonizing 2009 criteria, using population-specific abdominal circumference cut-off points. The association between risk factors was evaluated using a logistic regression model. Results: In the studied population, 14.8% were smokers, 15.4% were former smokers. In the multivariate analysis, the presence of metabolic syndrome (smokers: OR, 1.54; 95% CI, 1.11-2.14; p=0.010) and its components were related to cigarette smoking, with the exception of hyperglycemia. High blood pressure was inversely associated with current smoking status (smokers: OR, 0.70 (0.51-0.95); p=0.025). Conclusion: Cigarette smoking represents a related factor with metabolic syndrome, being associated with low high-density lipoprotein-cholesterol, increased abdominal circumference and elevated triacylglyceride levels. Former smokers did not present a greater risk for developing this metabolic disease when compared to non-smokers. The effect of avoiding this habit should be evaluated in future studies in our population.

Cigarette smoking and metabolic syndrome components: a cross-sectional study from Maracaibo City, Venezuela

Background: A growing body of evidence suggests that cigarette smoking can cause the onset of metabolic syndrome prior to cardiovascular diseases. Therefore, the objective of this study was to evaluate the relationship between smoking habit and metabolic syndrome components in an adult population from Maracaibo city, Venezuela. Methods: The Maracaibo City Metabolic Syndrome Prevalence Study is a descriptive, cross-sectional study with random and multi-stage sampling. In this sub-study, 2212 adults from both genders were selected. On the basis of their medical background, they were classified as smokers, non-smokers and former smokers. Metabolic syndrome was defined according to Harmonizing 2009 criteria, using population-specific abdominal circumference cut-off points. The association between risk factors was evaluated using a logistic regression model. Results: In the studied population, 14.8% were smokers, 15.4% were former smokers. In the multivariate analysis, the presence of metabolic syndrome (smokers: OR, 1.54; 95% CI, 1.11-2.14; p=0.010) and its components were related to cigarette smoking, with the exception of hyperglycemia. High blood pressure was inversely associated with current smoking status (smokers: OR, 0.70 (0.51-0.95); p=0.025). Conclusion: Cigarette smoking represents a related factor with metabolic syndrome, being associated with low high-density lipoprotein-cholesterol, increased abdominal circumference and elevated triacylglyceride levels. Former smokers did not present a greater risk for developing this metabolic disease when compared to non-smokers. The effect of avoiding this habit should be evaluated in future studies in our population.

Cigarette smoking and metabolic syndrome components: a cross-sectional study from Maracaibo City, Venezuela

Background: A growing body of evidence suggests that cigarette smoking can cause the onset of metabolic syndrome prior to cardiovascular diseases. Therefore, the objective of this study was to evaluate the relationship between smoking habit and metabolic syndrome components in an adult population from Maracaibo city, Venezuela. Methods: The Maracaibo City Metabolic Syndrome Prevalence Study is a descriptive, cross-sectional study with random and multi-stage sampling. In this sub-study, 2212 adults from both genders were selected. On the basis of their medical background, they were classified as smokers, non-smokers and former smokers. Metabolic syndrome was defined according to Harmonizing 2009 criteria, using population-specific abdominal circumference cut-off points. The association between risk factors was evaluated using a logistic regression model. Results: In the studied population, 14.8% were smokers, 15.4% were former smokers. In the multivariate analysis, the presence of metabolic syndrome (smokers: OR, 1.54; 95% CI, 1.11-2.14; p=0.010) and its components were related to cigarette smoking, with the exception of hyperglycemia. High blood pressure was inversely associated with current smoking status (smokers: OR, 0.70 (0.51-0.95); p=0.025). Conclusion: Cigarette smoking represents an independent risk factor for the development of metabolic syndrome, being associated with low high-density lipoprotein-cholesterol, increased abdominal circumference and elevated triacylglyceride levels. Former smokers did not present a greater risk for developing this metabolic disease when compared to non-smokers. The effect of avoiding this habit should be evaluated in future studies in our population.

Mindfulness Is Associated with the Metabolic Syndrome among Individuals with a Depressive Symptomatology

The Metabolic Syndrome (MetS) is a major public health burden. Dispositional mindfulness has recently been associated with eating disorders, being overweight, and could therefore be associated with the MetS. We aimed to examine in a cross-sectional design the relationship between mindfulness, the MetS, and its risk factors in a large sample of the adult general population and the influence of depressive symptomatology on this association. Adults participating in the NutriNet-Santé study who had completed the Five Facets Mindfulness Questionnaire and attended a clinical and biological examination were available for inclusion. Multivariable logistic regression models adjusted for socio-demographic and lifestyle factors were performed. A total of 17,490 individuals were included. Among individuals with a depressive symptomatology, those with higher mindfulness were less likely to have a MetS (OR: 0.73, 95% CI: 0.57–0.93), a high waist circumference, a low HDL-cholesterol level and an elevated fasting blood glucose level (all p <0.05). In those without depressive symptomatology, individuals with higher mindfulness were less likely to have a high waist circumference (p <0.01). In conclusion, higher mindfulness was associated with lower odds of developing a MetS only among individuals with a depressive symptomatology.

The impact of smoking on incident type 2 diabetes in a cohort with hepatitis B but not hepatitis C infection

Smoking may be a risk factor for diabetes, and it has been suggested that viral hepatitis may predispose to diabetes. We studied diabetes and smoking histories in people with viral hepatitis. From 1997 to 2004, we studied the risk of incident diabetes in a community cohort with hyperendemic HBV and HCV infection in southern Taiwan. The cohort involved 3539 people (40-70 years old) without diabetes. Four hundred and twenty-three individuals developed diabetes. Those who were ≥65 years old, frequently consumed alcohol, had a BMI ≥25, had <9 years of education, were anti-HCV⁺ or smoked ≥1 pack per day were more likely to develop diabetes (P < 0.05). A cumulative hazard function test showed that the higher the smoking levels, the greater the cumulative incidence rate of diabetes in HBsAg⁺ participants only (P = 0.03 by log-rank test). A multiple Cox proportional hazards model analysis in different hepatitis statuses showed smoking levels were strong predictors of diabetes with a dose-response relationship for type 2 diabetes in those with HBsAg⁺ : hazard ratio (HR) = 3.8, (95% CI: 1.2, 12.3) for light smokers (<1 pack per day) and HR = 4.4 (95% CI: 1.5, 13.3) for heavy smokers (≥1 pack per day). Increasing BMI was a common predictor in all people. Smoking is a strong predictor for diabetes with a dose-response relationship in HBsAg⁺ individuals and a mild predictor for seronegative individuals but not significant in anti-HCV⁺ individuals.

Factors associated with metabolic syndrome among Korean office workers

To assess the prevalence of metabolic syndrome (MetS) and identify risk factors associated with MetS among Korean office workers, this cross-sectional study was conducted with 776 office workers. The prevalence of MetS was 13.5%; elevated waist circumference (27.5%), elevated fasting glucose (23.1%), elevated triglycerides (22.2%), low high-density lipoprotein cholesterol (HDL-C) (13.4%), and elevated BP (9.4%). Having any medical health problems (OR = 3.98, 95% CI: 2.01-7.85), more knowledge of MetS (OR = 1.26, 95% CI: 1.02-1.56), higher BMI (OR = 1.42, 95% CI: 1.30-1.57), current smoking (OR = 3.78, 95% CI: 1.04-13.73), and physical inactivity (OR = 3.22, 95% CI: 1.21-8.58) were significantly associated with increased likelihood of MetS. Addressing the influence of these factors on MetS could lead to the development of workplace-based intervention strategies to encourage lifestyle changes and prevent the risk of MetS among Korean office workers.

Shared metabolic and immune-inflammatory, oxidative and nitrosative stress pathways in the metabolic syndrome and mood disorders

This review examines the shared immune-inflammatory, oxidative and nitrosative stress (IO&NS) and metabolic pathways underpinning metabolic syndrome (MetS), bipolar disorder (BD) and major depressive disorder (MDD). Shared pathways in both MetS and mood disorders are low grade inflammation, including increased levels of pro-inflammatory cytokines and acute phase proteins, increased lipid peroxidation with formation of malondialdehyde and oxidized low density lipoprotein cholesterol (LDL-c), hypernitrosylation, lowered levels of antioxidants, most importantly zinc and paraoxonase (PON1), increased bacterial translocation (leaky gut), increased atherogenic index of plasma and Castelli risk indices; and reduced levels of high-density lipoprotein (HDL-c) cholesterol. Insulin resistance is probably not a major factor associated with mood disorders. Given the high levels of IO&NS and metabolic dysregulation in BD and MDD and the high comorbidity with the atherogenic components of the MetS, mood disorders should be viewed as systemic neuro-IO&NS-metabolic disorders. The IO&NS-metabolic biomarkers may have prognostic value and may contribute to the development of novel treatments targeting neuro-immune, neuro-oxidative and neuro-nitrosative pathways.

Association between serum cotinine level and prevalence of non-alcoholic fatty liver disease: a cross-sectional study from the Third National Health and Nutrition Examination Survey

The data on the effect of smoking on non-alcoholic fatty liver disease (NAFLD) has been controversial. The aim of this study was to investigate if an association exists between serum cotinine level (a tobacco biomarker) and NAFLD prevalence in the general US population. We conducted a cross-sectional analysis of data from the Third National Health and Nutrition Examination Survey (NHANES III). We included 11,003 adults aged 20-74 years who underwent ultrasonography. Of those, 4036 were identified as having NAFLD and 6967 were recognized as controls. The percentage of current smokers was significantly lower in subjects with NAFLD compared with those in controls (21.5% vs 26.0%, p<0.01). After adjustment for potential confounders, there was no association between current or former smokers with NAFLD. Additionally, no associations were observed between the levels of serum cotinine and NAFLD. No association between serum cotinine levels at each quartile level and NAFLD was observed regardless of smoking status. In this large US population-based study, we did not find an association between NAFLD and self-reported smoking status or measured serum cotinine level.

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

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

Association between upper leg length and metabolic syndrome among US elderly participants-results from the NHANES (2009-2010)

OBJECTIVE

To examine the relationship between upper leg length (ULL) and metabolic syndrome (MetS) in older adults.

METHODS

Data was collected from National Health and Nutritional Examination Survey (NHANES, 2009-2010). 786 individuals (385 males and 401 females) who were 60 years of age or older were included in this analysis. MetS was defined as having at least three of following conditions, i.e., central obesity, dyslipidemia, insulin resistance, and hypertension based on National Cholesterol Education Program guidelines. ULL was grouped into gender-specific tertiles.

RESULTS

328 (41.7%) of participants were categorized as having MetS (38.7% in men and 49.1% in women, P = 0.002). Compared to individuals in the 1(st) tertile (T1) of ULL, those in the 3(rd) tertile (T3) had lower levels of triglycerides (120.8 vs. 153.1 mg/dL, P = 0.045), waist circumference (100.7 vs. 104.2 cm, P = 0.049), and systolic blood pressure (126.7 vs. 131.4 mmHg, P = 0.005), but higher levels of high-density-lipoprotein cholesterol (58.1 vs. 52.4 mg/dL, P = 0.024). The odds ratios (95% CI) of MetS from multivariate logistic regression were 0.57 (0.32-1.03) for individuals in the T2 of ULL and 0.39 (0.24-0.64) for individuals in the T3 of ULL, respectively (P-value for the trend 0.022).

CONCLUSIONS

ULL was negatively associated with MetS in older adults. Further research is needed to identify potential mechanisms.

Heavy smoking rate trends and related factors in Korean occupational groups: analysis of KNHANES 2007-2012 data

OBJECTIVES

The present study was designed to investigate the smoking and heavy smoking trends and identify possible related factors among Korean male workers from 2007 to 2012 by occupational groups.

METHODS

The data were derived from the fourth (2007-2009) and fifth (2010-2012) waves of the Korean National Health and Nutrition Examination Survey (KNHANES). Occupational groups were categorised into three groups, which were non-manual, manual and service and sales groups. Age-adjusted prevalence rates of smoking and heavy smoking (>20 cigarettes/day) in men aged 25-64 years were calculated. Factors associated with heavy smoking were investigated using logistic regression analyses.

RESULTS

Smoking rate in manual workers decreased gradually over time (p for trend <0.0001). Smoking rate was higher in manual than non-manual workers, but the difference reduced over time (p for trend <0.0001). Heavy smoking rate decreased from 2007 to 2012 (p for trend <0.0001). Heavy smoking rate was higher in manual than non-manual workers; however, this difference increased over time. Stress, depressive mood and long working hours (≥60 h/week) were associated with heavy smoking.

CONCLUSIONS

Antismoking policy should focus on current and heavy smokers. Workplace antismoking programmes should consider working hours and stress, especially in manual workers.

Metabolic syndrome and the short-term prognosis of acute ischemic stroke: a hospital-based retrospective study

BACKGROUND

Metabolic syndrome (MetS) is an important risk factor for cerebral ischemic stroke, yet previous studies on the relationship between MetS or its components and acute cerebral infarction have been inconsistent. This study aims to evaluate the effects of MetS and its components on the short-term prognosis of patients with acute ischemic stroke.

METHODS

Subjects with ischemic stroke of <7-day duration (530 cases) were enrolled. MetS was defined based on the modified criteria of the International Diabetes Federation and the American Heart Association/National Heart, Lung, and Blood Institute. Demographic data, vascular risk factors, National Institutes of Health Stroke Scale score, the results of physical, laboratory and imaging examinations and clinical outcomes at 30 and 90 days were recorded. Using univariate analysis, we compared different baseline characteristics between patients with MetS and those without MetS. Further, we assessed MetS and its 5 components on the contribution to short-term prognosis of ischemic stroke with multiple logistic regression models after adjusting for age and sex.

RESULTS

The prevalence of MetS among the patients with acute ischemic stroke in the study is 58.3%, with more in females (70.3%) than in males (49.7%, p < 0.001). As expected, among the MetS components, elevated waist circumference, elevated triglyceride, high fasting blood glucose and low high density lipoprotein cholesterol (HDL-C) were significantly more prevalent in patients with MetS than those without MetS (all p < 0.001). There was no correlation between MetS itself and the short-term prognosis of acute ischemic stroke. Only hyperglycemia in the serum was shown to have impact on poor functional outcomes in 30 and 90 days after the onset of stroke.

CONCLUSIONS

The occurrence of MetS among patients with acute ischemic stroke in our study is 58.3%. MetS itself may not be predictive for the short-term prognosis of patients, while hyperglycemia is a significant predictor for poor functional outcomes in our study.