Consequences of smoking for body weight, body fat distribution, and insulin resistance

National and subnational trends in obesity prevalence in Iran: a Spatiotemporal study with future predictions

Obesity, defined as having a Body Mass Index (BMI) of 30 kg/m² or above, has emerged as a major public health challenge worldwide, and Iran is no exception. This study aimed to examine the socioeconomic and behavioral factors associated with obesity prevalence in Iran by gender from 2006 to 2019, and predict future trends at both national and subnational levels up to 2040. Obesity rates from 31 provinces in Iran between 2006 and 2019 were obtained from the Iran Statistical Yearbook. Spatio-temporal modeling was applied to assess gender-specific factors influencing obesity at the provincial level. Predictions for future obesity trends were generated using spatiotemporal forecasting techniques. Female obesity was significantly associated with divorce (β = 0.239), urbanization (β = 0.035), internet usage (β = 0.040), Log GDP (β = 3.195), and soft drink consumption (β = 0.153). In contrast, male obesity was significantly related to marriage (β = 0.059), divorce (β = 0.124), urbanization (β = 0.012), Log GDP (β = 1.079), soft drink intake (β = 0.002), tobacco usage (β = 0.217), and meat consumption habits (β = 0.030). Spatiotemporal predictions indicate a continued rise in obesity prevalence over the next two decades, with female obesity projected to reach 52.84% by 2040 and male obesity expected to rise to 33.40%. Mazandaran Province is predicted to have the highest obesity rates in 2040, affecting 72.57% of women and 48.21% of men, whereas Sistan and Baluchistan will likely exhibit the lowest obesity prevalence (37.66% in women and 21.43% in men). The findings highlight the urgent need for policy interventions to address the rising prevalence of obesity in Iran. Given the significant socioeconomic and behavioral determinants identified, targeted public health initiatives, lifestyle modifications, and regulatory policies are essential to mitigate the long-term impact of obesity on the healthcare system and overall public health.

Association of quantified cardiovascular health status with all-cause mortality risk in prediabetic patients

BACKGROUND

Patients with prediabetes are at increased risk of developing cardiovascular disease. The Life's Essential 8 (LE8) score, updated by the American Heart Association in 2022, is a tool used to quantify cardiovascular health (CVH). Quantifying healthy living status on the basis of the uniform standard LE8 will be useful for confirming whether health interventions can reduce the risk of death in prediabetic patients.

AIM

To investigate the associations between all-cause mortality risk and CVH status (as quantified by the LE8 score) in prediabetic patients.

METHODS

This study included 5344 participants with prediabetes (age: 52.9 ± 15.8 years; 51.6% men). The LE8 score includes four health indicators and four health behaviors. Cox proportional hazard ratios were calculated for all-cause mortality in the high CVH (LE8 ≥ 80), low CVH (LE8 ≤ 50), and moderate CVH (LE8 50-79) subgroups, and restricted cubic spline analyses were performed. Separate analyses of the associations of all-cause mortality risk with each LE8 component and CVH health behaviors and indicators were also performed.

RESULTS

In the median follow-up period of 8.33 years, 658 deaths occurred. Compared with those among participants with high CVH, the covariate-adjusted HRs (95% confidence intervals) for mortality among participants with moderate and low CVH were 2.55 (1.23-5.31) and 3.92 (1.70-9.02), respectively. There was a linear relationship between an improvement in CVH status and a reduction in all-cause mortality risk (P-overall < 0.0001, P-nonlinear = 0.7989). Improved CVH health behaviors had a more significant protective effect on patients with prediabetes than did the improvement in CVH health indicators.

CONCLUSION

High CVH status (as quantified by the LE8 score) is significantly associated with reduced mortality risk in prediabetic adults in the United States.

Health and Wellness Coaching Can Improve Tobacco Quit Rates and Weight Management Efforts in an Employee Population

PurposeThis study aims to investigate gender differences in tobacco quit rates and weight gain among employees undergoing a cessation program with a health and wellness coach.DesignThis project was a retrospective observational study of an employee population.SettingAll data were collected during health coaching sessions by nationally certified health coaches.Subjects211 men and women (116 males, 95 females, age 51.3 ± 9.9 years) enrolled in a Tobacco cessation health coaching program (TCHC) between January 2020 and December 2021.MeasuresData were compared between genders for quit rate, weight, body mass index (BMI), and nicotine replacement therapy (NRT) usage across 12-month follow-ups.AnalysisDescriptive statistics, repeated measures ANOVA, and independent samples t-test.ResultsSignificantly more men than women successfully quit by the goal date set with their coach (P < 0.05). There was a significant reduction in tobacco use across 12 months, leading to the participant's quit date (P < 0.001). Women (Weight lost ± SD= 1.49 lbs. ±16.06 lbs.) lost significantly more weight than men (0.7 lbs. ± 8.5 lbs.; P < 0.001). NRT users lost significantly more weight than non-users (P = .007).ConclusionHealth and wellness coaching was effective for participants to successfully stop tobacco use while in this program by their quit date. The coaching program also elicited weight loss while achieving smoking cessation for both men and women.

Association of the body roundness index with new-onset cardiovascular disease in middle-aged and older adults with and without diabetes: evidence from the China Health and Retirement Longitudinal Study

BACKGROUND

Among noncommunicable diseases, cardiovascular disease (CVD) is the leading cause of mortality and morbidity. In China, diabetes is renowned for its high incidence rate, and the body roundness index (BRI) is an emerging indicator for assessing obesity, particularly abdominal obesity. High BRI may lead to new-onset CVD events. However, the relationships between the BRI and new-onset CVD in individuals with or without diabetes remain unclear.

METHODS

Data for this analysis were extracted from the China Health and Retirement Longitudinal Study (CHARLS). Our research utilized a cohort that was meticulously assessed over a period from 2011 to 2018, encompassing a comprehensive follow-up of 17,708 participants. Ultimately, this study focused on a subset of 6,737 individuals aged 45 years or older. Methodological approaches include Cox regression, Kaplan-Meier survival analysis, restricted cubic splines (RCS) analysis, receiver operating characteristic (ROC) curve analysis, subgroup analysis, and mediation analysis to explore the relationships of interest.

RESULTS

This study included 6,737 participants, all of whom were above the age of 45. Our findings revealed that within this demographic group, 1,481 (22.0%) patients experienced new-onset CVD. The Kaplan-Meier survival analysis further revealed that the group characterized by non-diabetes mellitus (Non-DM) had the lowest cumulative incidence of CVD compared with the diabetes mellitus (DM) group. Multivariate Cox regression revealed that in the fully adjusted model (Model 3) (HR = 1.122, 95% CI = 1.080 to 1.167), BRI was associated with the risk of CVD in the Non-DM group during the three-wave follow-up. RCS analysis revealed a positive, linear-like dose‒dependent relationship between BRI and new-onset CVD in Non-DM patients (P = 0.007, P for nonlinearity = 0.938). Smoking could affect the ability of the BRI to predict the incidence rate of CVD in the total population and in the population without diabetes (P interaction = 0.007). Moreover, the mediating effect of the BRI on new-onset CVD among diabetic patients was particularly pronounced in the long term, exceeding 4 years.

CONCLUSIONS

Our findings demonstrate a significant association between the BRI and CVD risk in non-diabetic individuals, with diabetes influencing the incidence and risk of new-onset CVD in middle-aged and elderly Chinese populations through the BRI playing a mediating role. As an obesity indicator, the BRI provides a valuable tool for early detection and intervention of CVD.

CLINICAL TRIAL NUMBER

Not applicable.

Cardiovascular and metabolic changes following 12 weeks of tobacco and nicotine pouch cessation: a Swedish cohort study

OBJECTIVES

Use of snus, including tobacco and nicotine pouches, is increasing in many countries. Nicotine increases blood pressure (BP) acutely, but the long-term effects of quitting the regular use of snus pouches are unknown. The aim was to evaluate the effects of snus cessation on home BP and markers of the metabolic syndrome.

METHODS

Volunteers aged 18-70 years using snus daily were invited to abruptly end their snus intake and followed using home BP and metabolic measurements before and for 12 weeks after cessation.

RESULTS

Fifty volunteers were recruited. Of these, 46 (92%) attempted snus cessation and 37 (74%) did not use snus for at least 3 weeks and were included in the study. Of those included, 33 maintained snus cessation for all 12 weeks. The mean age was 38 (± 10) years and 24 (65%) were men. At week 12, the mean changes in systolic home BP was 3.7 (95% CI 1.5-5.9) mmHg, in body weight was 1.8 (95% CI 1.1-2.4) kg, and in HbA1c was 0.7 (95% CI 0.0-1.6) mmol/mol.

CONCLUSIONS

Cessation of tobacco and nicotine pouches in individuals who regularly used snus negatively impacted systolic home BP, body weight and HbA1c after 12 weeks. Whether these effects would be reversed by snus re-initiation cannot be determined by this study, but our novel findings suggest that successful cessation of regular snus usage does not immediate improve these cardiovascular risk factors. We call for further research to confirm our findings and evaluate the effects over longer time frames.

CLINICAL TRIAL REGISTRY NUMBER

NCT06019910, https://clinicaltrials.gov/study/NCT06019910 .

Metabolic Signalling Peptides and Their Relation to Clinical and Demographic Characteristics in Acute and Recovered Females with Anorexia Nervosa

Background/Objectives: Recent research has established that metabolic factors may increase the vulnerability to develop anorexia nervosa (AN). The aim of this study was to explore the serum concentrations of leptin, insulin-like growth factor-1 (IGF-1), insulin and insulin receptor substrate (IRS-1) as possible state or trait biomarkers for AN in the acute and recovery (recAN) phases. Our secondary aim was to test associations between the tested markers and demographic and clinical characteristics. Methods: This cross-sectional study included data from 56 participants with AN, 24 recAN participants and 51 healthy controls (HCs). Enzyme-linked immunosorbent assays (ELISAs) were used to quantify serum concentrations of leptin, IGF-1, insulin and IRS-1. An analysis of covariance (ANCOVA) and linear regression models were utilised to test our results. Results: There were significant differences with a large effect size between the groups for serum leptin (p < 0.001; d = 0.80), whereby people with AN had lower leptin than those with recAN (p = 0.023; d = 0.35) and HCs (p < 0.001; d = 0.74). The between-group comparison of IGF-1 did not reach significance, although the effect size was moderate (d = 0.6) and was driven by lower levels of IGF-1 in people with acute AN compared to HCs (p = 0.036; d = 0.53). Serum insulin and IRS-1 did not differ between groups. Conclusions: Low leptin levels seen in individuals with AN may be due to starvation leading to fatty tissue depletion. Understanding the regulation of IGF-1 and insulin signalling over the course of the disorder requires further investigation.

Body mass index trajectories in older adulthood and all-cause mortality: a cohort study in China

BACKGROUND

Many studies have explored the association between Body Mass Index (BMI) trajectory and mortality, but the association between BMI trajectory during old age and mortality remains underreported, particularly in the Chinese population. This study aimed to investigate the association between BMI trajectories in older adulthood and all-cause mortality in China, and to analyze potential mediating mechanisms.

METHODS

We analyzed data from the Chinese Longitudinal Healthy Longevity Survey with latent class growth modeling to identity BMI trajectories at 3 follow-up visits (2008, 2011 and 2014). All-cause mortality was assessed from baseline to July 31,2019. Cox proportional hazard regression was used to estimate the association between BMI trajectories and all-cause mortality.

RESULTS

Among 3676 older adults (female: 52.3%, median (IQR) age was 77 (70, 85) years), after 12,516 person-years of follow-up, 1,331 all-cause deaths were recorded. Three distinct BMI trajectories were identified: low-normal stable trajectory (47.33%), normal slight increase trajectory (44.45%), and overweight to obesity trajectory (8.22%). In the fully adjusted model, compared to the normal slight increase trajectory, the risk of all-cause mortality was significantly increased in the low-normal stable trajectory (HR = 1.39, 95%CI: 1.22, 1.60), while the risk of mortality was not statistically different in the overweight to obesity trajectory (HR = 1.16, 95%CI: 0.83, 1.61). Both stratified and sensitivity analyses confirmed these findings. Mediation analysis suggested that cognitive impairment and lack of leisure activities might partially mediate this association. Threshold analysis indicated that the risk of mortality gradually decreases with increasing BMI when BMI is below 26 kg/m2 (HR = 0.95, 95%CI: 0.93, 0.97) and then remains stable after 26 kg/m2.

CONCLUSION AND RELEVANCE

Compared with normal slight increase trajectory, low-normal stable BMI trajectory during old age may increase the risk of all-cause mortality. These insights hold significant implications for future health management strategies and interventions, aiming to enhance the overall health status and quality of life among older adults.

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

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

Excessive body weight and its contributing factors in visually impaired patients in northwest Ethiopia, 2024

Background

Excessive body weight are global health challenge affecting individuals across all age groups. They result from an imbalance between calorie intake and expenditure. Individuals with visual impairment are particularly vulnerable due to reduced physical activity, leading to higher rates of excessive body weight. This study assessed the prevalence and determinants of excessive body weight among visually impaired patients in northwest Ethiopia in 2024.

Method

A multi-centered institution-based cross-sectional study was done with 384 visually impaired patients selected using a simple random sample technique. An interviewer-administered structured questionnaire and physical assessments were used to gather data. The crude and adjusted odds ratios, as well as the 95% confidence intervals, were calculated. Bivariate and multivariate logistic regression analyses were performed. Variables having a p-value < 0.05 were considered substantially associated with excessive body weight.

Results

The prevalence of excessive body weight was 27.9% (95% CI: 23.2-32.8). Factors significantly associated with excessive body weight included being aged 65 or older (AOR = 5.43, 95% CI: 1.22-24.1), urban residency (AOR = 4.84, 95% CI: 2.95-7.95), and having visual impairment for five or more years (AOR = 3.33, 95% CI: 1.88-5.89).

Conclusion

Excessive body weight affects nearly one-third of visually impaired patients in northwest Ethiopia, with significant associations found for older age, urban residence, and long-term visual impairment. Integrating weight management programs, physical activity promotion, nutritional education, and community support is essential to improve health outcomes. Future studies using prospective cohort designs are recommended to explore causal relationships.

Outcomes of metabolic syndrome and anxiety levels in light and heavy smokers

Background

This study aimed to assess the impact of smoking status, as measured by pack-years (PY), on components of metabolic syndrome while considering the influence of anxiety.

Design

This cross-sectional study was conducted at a smoking cessation clinic in Turkey, enrolling individuals who visited the clinic in 2022. The Fagerstrom Test for Nicotine Dependence and the State-Trait Anxiety Inventory were utilized as assessment tools, while metabolic syndrome parameters (body mass index, hypertension, hyperglycemia, dyslipidemia) were evaluated. Smoking status was classified based on pack-years.

Results

The study revealed a dose-dependent relationship between smoking status and essential metabolic factors such as systolic blood pressure (SBP), diastolic blood pressure (DBP), hemoglobin A1c (HbA1c), and low-density lipoprotein (LDL). Notably, triglyceride (TG) levels exhibited a significant increase, particularly at 25 pack years. While anxiety levels did not exhibit a significant correlation with smoking status, they demonstrated an upward trend with increasing SBP and DBP values. Anxiety levels did not exhibit a significant correlation with smoking status.

Conclusions

A significant association was identified between nicotine addiction, as indicated by PY, and both metabolic syndrome parameters and anxiety levels. Early smoking cessation is strongly recommended for current smokers, and former smokers are advised to abstain from smoking to mitigate its adverse effects on metabolic syndrome components. These findings underscore the interconnectedness of cigarette smoking's effects on both physical and mental health, emphasizing the necessity of comprehensive approaches encompassing both metabolic disorder management and mental health support within cessation programs.

Associations of cigarette smoking with general and abdominal obesity risks among men in Taiwan

Obesity and smoking are two major public health challenges that both significantly contribute to morbidity and mortality worldwide. This study investigated the associations between smoking behaviors and obesity among men in Taiwan, with a focus on body mass index (BMI) and waist circumference (WC) as indicators of general and abdominal obesity. The sample consisted of 27,908 men categorized into five groups based on their specific smoking statuses: never smoker (NS), former smoker (FS), light-intensity smoker (LIS), moderate-intensity smoker (MIS), and heavy-intensity smoker (HIS). Our findings revealed a significant association between smoking behaviors and increased obesity risk, particularly among heavy-intensity smokers. Socioeconomic factors such as education and income levels were also found to influence these behaviors. These results underscore the importance of integrated public health strategies that address both smoking cessation and obesity prevention.

Lifestyle risk factors for overweight and obesity among rural Indian adults: a community-based prospective cohort study

India's nutrition transition has led to an increased burden of overweight/obesity (body mass index of ≥23 kg/m2), driven by lifestyle factors like poor diet, inactivity, and substance use, prompting public health interventions. However, these interventions lack supporting evidence, especially in rural areas, hindering effective strategies for this population. To address this evidence gap, this study used cohort data (baseline: 2018-19, follow-up: 2022-23) from the Birbhum Population Project (West Bengal, India) to analyse lifestyle risk factors and their association with incidence and remission of overweight/obesity among adults aged ≥18 years (sample: 8,974). Modified Poisson regression model was employed to attain the study objective. From 2017-2018 to 2022-2023, the prevalence of overweight/obesity increased from 15.2% (95% CI: 14.1%-16.4%) to 21.0% (95% CI: 19.7%-22.3%) among men and from 24.1% (95% CI: 22.9%-25.2%) to 33.8% (95% CI: 32.5%-35.1%) among women. Overall, 23.0% (95% CI: 21.8%-24.3%) of adults experienced incidence of overweight/obesity, while 13.9% (95% CI: 12.4%-15.6%) experienced remission. Use of motor vehicles among unemployed participants was associated with incident overweight/obesity (relative risk or RR: 1.058; 95% CI: 1.023-1.095; P: 0.001). Vigorous activity at home (including gardening, yard work, and household chores) was linked to higher odds of recovering from overweight/obesity (RR: 1.065; 95% CI: 1.008-1.125; P: 0.025). Frequent tobacco use (often/daily vs. none) was inversely associated with remission of overweight-obesity (RR: 0.689; 95% CI: 0.484-0.980; P: 0.038), as was each 1 ml in alcohol consumption (RR: 0.995; 95% CI: 0.991-0.999; P: 0.022). Discouraging habitual motor vehicle use may help prevent overweight/obesity, while promoting home-based activities may aid remission, particularly for women who are at higher risk for overweight/obesity.

Effect of smoking behaviour and related blood DNA methylation on visceral adipose tissues

BACKGROUND

Recent studies have found that tobacco smoking is associated with fat distribution, yet limited research has focused on its relationship with visceral adipose tissues (VATs). Furthermore, the cellular and molecular mechanisms underlying the interactions among smoking, epigenetic modifications, and VATs remain unknown.

METHOD

We performed univariable Mendelian randomization (MR) analysis to elucidate the causal relationship between smoking behaviours and VATs, including epicardial and pericardial adipose tissue (EPAT), liver fat (LF), and pancreas fat (PF). This approach could minimize the impact of confounders and reverse causality through utilizing genetic variants to proxy the smoking behaviours. Mediation MR analysis were conducted to detect potential mediators. Additionally, summary-data-based MR (SMR) and colocalization analysis were performed to explore the association between smoking-related DNA methylation and VATs.

RESULTS

We identified a convincing association between smoking initiation and increased EPAT (beta: 0.15, 95% CI: 0.06, 0.23, p = 7.01 × 10-4) and LF area (beta: 0.15, 95% CI = 0.05, 0.24, p = 2.85 × 10-3), respectively. Further mediation analysis suggested type 2 diabetes mellitus (T2DM) as a potential mediator within these co-relationships. When further exploring the associations between the smoking related DNA methylation and VATs, we identified that WT1 methylation at cg05222924 was significantly linked to a lower EPAT area (beta: -0.12, 95% CI: -0.16, -0.06, PFDR = 2.24 × 10-3), while GPX1 methylation at cg18642234 facilitated the deposition of EPAT (beta: 0.15, 95% CI: 0.10, 0.20, PFDR = 1.66 × 10-4).

CONCLUSION

Our study uncovered a significant causal effect between smoking and VATs, with T2DM identified as a potential mediator. Further investigation into DNA methylation yielded novel insights into the pathogenic role of smoking on EPAT.

The association between android-to-gynoid lean mass ratio and all-cause and specific-cause mortality in US adults: A prospective study

OBJECTIVE

The associations of lean mass distribution with mortality risk are not fully elucidated. We aimed to evaluate the effects of a new lean mass distribution indicator-android/gynoid lean mass ratio (AGLR) evaluated by dual-energy x-ray absorptiometry (DXA) on the risk of all-cause and specific-cause mortality in a NHANES cohort.

METHODS

This was a population-based cohort study, which included 18 542 subjects aged 20 years and older from the US National Health and Nutrition Examination Survey (US NHANES, 2003-2006 and 2011-2018). The primary outcomes of our study were all-cause mortality, cardiovascular (CVD) mortality and cancer mortality, which were obtained from the linkage to registries. Cox proportional hazard regression models were used to investigate the association between lean mass distribution and mortality risk among the US NHANES general population. Restricted cubic spline nested in Cox regression was also used to test whether there was a non-linear association of AGLR as a continuous variable with the risk of mortality.

RESULTS

During a median follow-up of 6.9 years, 1412 participants died, of whom 435 were due to CVD and 340 were due to cancer. The multivariable-adjusted (Model 4) hazard ratios (HRs) for each SD increase in AGLR were 1.53 (95% confidence interval [CI] 1.40-1.67) for all-cause mortality, 1.56 (95% CI 1.30-1.87) for cancer mortality and 1.64 (95% CI 1.47-1.84) for CVD mortality. The associations were robust in sensitivity analyses and present in most subgroups.

CONCLUSIONS

AGLR evaluated by DXA was associated with a higher risk of all-cause and specific-cause mortality among the general population from the US NHANES cohort.

Exploring socio-demographic determinants of obesity in Jordanian women of reproductive age: insights from a nationwide survey

BACKGROUND

In Jordan, obesity has emerged as a significant public health concern, particularly among females, with a prevalence of 43.1%. This rising trend, exacerbates the burden of non-communicable diseases and places increasing strain on the healthcare system.

AIM

We aimed to explore the predictors associated with obesity among adult ever-married Jordanian women aged 20-49 years based on the Jordanian Population and Family Health Survey (JPFHS).

METHOD

Our study analyzed data from the JPFHS conducted in 2017-18, which initially included 14,689 ever-married women. We performed multivariable analyses to determine the socio-demographic predictors of obesity among these women.

RESULT

We included 4,339 Jordanian women in our study, of whom 2,189 were classified as obese and 2,150 had a normal body mass index (BMI). Multivariable analysis indicated that increasing age and living in Tafilahwere significantly associated with higher odds of developing obesity (p < 0.05). Conversely, factors such as being in the wealthiest category, residing in Ma'an and Aqaba, and smoking every day were significantly linked to reduced odds of obesity (p < 0.05). Additionally, no significant associations were found between obesity development and variables such as the type of place of residence, educational level, frequency of reading newspapers or magazines, radio listening, television watching, or internet use in the past month (p > 0.05).

CONCLUSION

Appropriate and targeted interventions should be developed for Jordanian women to address obesity and its related health issues. Policymakers should adopt a multilevel approach that focuses on high-risk subgroups, including older women, and those living in Tafilh. Efforts should be made to raise awareness and provide preventative measures tailored to these groups to effectively reduce obesity and its associated complications.

Association of Sociodemographic Variables and Healthy Habits with Body and Visceral Fat Values in Spanish Workers

Background and Objectives: The accumulation of fat in the body, especially visceral fat, is associated with various cardiometabolic conditions such as diabetes mellitus and fatty liver. The reasons for the accumulation of this fat are diverse. Some studies, also in the working population, have shown a clear association between sociodemographic variables and health habits with scales that assess overweight and obesity. This study aims to determine how certain sociodemographic variables, such as age, gender, and socioeconomic level, as well as certain healthy habits like physical activity and tobacco consumption, affect the levels of body and visceral fat. Materials and Methods: We conducted a descriptive and cross-sectional study involving 8590 Spanish workers. The percentage of body and visceral fat was measured using a bioimpedance analysis with a Tanita DC 430MA device. Results: Both the average values and the prevalence of elevated body and visceral fat increase with age and decrease with social class and lower levels of physical activity. These values are higher in smokers. A multivariate analysis shows that the variables most influential in increasing the risk of high levels of both body and visceral fat are age and low levels of physical activity. Conclusions: The profile of a person at high risk of having elevated body and visceral fat levels is an older male with a low socioeconomic status who smokes and leads a sedentary lifestyle.

The association between the healthy lifestyle index and MRI-derived body composition measurements in the UK Biobank study

A high healthy lifestyle index (HLI) score, which reflects an adequate amount of sleep, no alcohol consumption, no smoking, a moderate to high physical activity level, a high quality diet, and a normal body mass index (BMI), has been associated with reduced risk of morbidity and mortality. We examined the relationship between the HLI and measurements of adipose and lean tissue volumes measured using magnetic resonance imaging (MRI). We studied 33,002 participants in the UK Biobank study, aged 40-69 years at enrolment. Information on lifestyle components was obtained at the baseline examination (2006-2010), while MRI was performed at a later exam (2014-2020). A multilevel HLI score, constructed by assigning individual scores to each HLI component, was categorized into quartiles in multivariable linear regression analyses. Higher HLI levels were associated with lower levels of body composition parameters (visceral and subcutaneous adipose tissue, total adipose tissue, total lean tissue, muscle fat infiltration, abdominal fat ratio, weight to muscle ratio) in a dose-dependent manner (tests-for-trend p-value < 0.001 for all parameters). When BMI was excluded from the HLI score and included separately in the model, a direct association between HLI score and total lean tissue volume was observed. Higher HLI scores were associated with a better body composition profile.

Association between solid cooking fuels exposure and metabolic syndrome: Evidence from China

Epidemiological evidence connecting cooking fuel use to metabolic syndrome (MetS) is lacking. Solid cooking fuel usage and MetS prevalence were prospectively investigated in this study. We included participants in 2011 and 2015 from the China Health and Retirement Longitudinal Study (CHARLS) data. Through cross-sectional and longitudinal studies, we found that the use of solid fuels reduced the risk of MetS in participants compared with clean fuels (cross-sectional study: 2011: Odds ratio (OR): 0.819, 95 %confidence interval (CI): 0.747-0.897, P < 0.001; 2015: OR: 0.766, 95 %CI: 0.708-0.851, P < 0.001; longitudinal study: OR: 0.736, 95 %CI: 0.652-0.831, P < 0.001).This impact ceases to exist whenever a switch in fuel type occurs (Non persistent clean: OR: 0.937, 95 %CI: 0.837-1.050, P = 0.262; Persistent solid: OR: 0.767, 95 %CI: 0.691-0.853, P < 0.001). Moreover, we found that biomass (crop residue and wood burning) combustion reduced the prevalence of MetS (OR: 0.653, 95 %CI: 0.573-0.743, P < 0.001), while coal had no effect on the prevalence of MetS (OR: 1.092, 95 %CI: 0.907-1.315, P = 0.352). Based on mediation analysis, triglyceride (TG) and high-density lipoprotein cholesterol (HDL-C) cholesterol mediated 61.3 % and 39.8 % of the reduction in MetS prevalence observed with solid fuel. In summary, our research showed that household solid cooking fuels were associated with less MetS risk. Among them, biomass combustion may play an important role.

Interplay of Oxidative Stress, Gut Microbiota, and Nicotine in Metabolic-Associated Steatotic Liver Disease (MASLD)

Oxidative stress has been described as one of the main drivers of intracellular damage and metabolic disorders leading to metabolic syndrome, a major health problem worldwide. In particular, free radicals alter lipid metabolism and promote lipid accumulation in the liver, existing in the hepatic facet of metabolic syndrome, the metabolic dysfunction-associated steatotic liver disease (MASLD). Recent literature has highlighted how nicotine, especially if associated with a high-fat diet, exerts a negative effect on the induction and progression of MASLD by upregulating inflammation and increasing oxidative stress, abdominal fat lipolysis, and hepatic lipogenesis. Moreover, considerable evidence shows the central role of intestinal dysbiosis in the pathogenesis of MASLD and the impact of nicotine-induced oxidative stress on the gut microbiome. This results in an intricate network in which oxidative stress stands at the intersection point between gut microbiome, nicotine, and MASLD. The aim of this review is to delve into the molecular mechanisms linking tobacco smoking and MASLD, focusing on nicotine-induced microbiota modifications and their impact on MASLD development.

Nicotine aggravates high-fat diet-induced non-alcoholic fatty liver disease in mice via inhibition of CISD3

Non-alcoholic fatty liver disease (NAFLD) is the most prevalent chronic liver disease globally. Growing data suggests that smoking plays an important role in the evolution of NAFLD. CDGSH iron sulfur domain 3 (CISD3) regulates critical biological activities. However, its role in nicotine-associated NAFLD and its underlying mechanisms have not been elucidated. Mice were given a high-fat diet for 10 weeks to induce the development of NAFLD. The results revealed that in mice with NAFLD, nicotine treatment resulted in reduced CISD3 expression, leading to mitochondrial dysfunction and impaired β-oxidation. Notably, exacerbation of hepatic steatosis and inflammatory injury was observed. Furthermore, Cisd3-knockout exacerbated lipid accumulation, aggravating oxidative stress and apoptosis. In conclusion, these results contribute to our knowledge of the function of CISD3 in nicotine-associated NAFLD, revealing the possibility of using CISD3 as a potential molecular target for treating NAFLD.

Prevalence of metabolic syndrome and its risk factors among the government bank's employees of district Bijnor, Uttar Pradesh: A cross-sectional study

Background

Metabolic syndrome (MetS) involves having at least 3 out of 5 health conditions that increase the risk of cardiovascular disease, stroke, and type 2 diabetes mellitus. These conditions include increased blood pressure (BP), high blood sugar, excess body fat around the waist, and abnormal cholesterol or triglyceride levels. Each of these conditions is treatable with lifestyle changes and/or medication.

Objective

1). To find out the prevalence of MetS and various risk factors associated with it through MetS's screening criteria. 2) To find out the health risk status and stress level among bank's employees in the government sector.

Material and Methods

A medical health camp was organised for all bank's employees to rule out the various health-related disorders. Thus, 64 beneficiaries were participated. A detailed history was taken regarding their socio-demographic profile, risk factors affecting the MetS, and stress levels among each individual through the direct personal interview method.

Results

As per MetS's screening criteria (NCEP-ATP III), the prevalence of MetS was 7.81% among the bank's employees. The various risk factors affecting the MetS are elevated serum triglyceride level, elevated fasting blood glucose (FBG), raised BP, enlarged WC, etc., The majority of individuals had a high risk of health status 27 (42.1%) and a moderate level of stress, i.e., 38 (59.4%), respectively. Most of the participants were hypertensive 49 (76.6%), diabetic 16 (28.6%), and obese 37 (57.8%).

Conclusion

Common concerns of male gender, increasing age and BMI, sedentary lifestyle, stress and positive family history should be considered for early identification and appropriate intervention to fight against the growing MetS epidemic.

Sequence variants associated with BMI affect disease risk through BMI itself

Mendelian Randomization studies indicate that BMI contributes to various diseases, but it's unclear if this is entirely mediated by BMI itself. This study examines whether disease risk from BMI-associated sequence variants is mediated through BMI or other mechanisms, using data from Iceland and the UK Biobank. The associations of BMI genetic risk score with diseases like fatty liver disease, knee replacement, and glucose intolerance were fully attenuated when conditioned on BMI, and largely for type 2 diabetes, heart failure, myocardial infarction, atrial fibrillation, and hip replacement. Similar attenuation was observed for chronic kidney disease and stroke, though results varied. Findings were consistent across sexes, except for myocardial infarction. Residual effects may result from temporal BMI changes, pleiotropy, measurement error, non-linear relationships, non-collapsibility, or confounding. The attenuation extent of BMI genetic risk score on disease associations suggests the potential impact of reducing BMI on disease risk.

Association between secondhand smoke and liver injury among US non-smoking adults: Mediation analysis of body mass index in the NHANES

INTRODUCTION

Liver injury is a primary factor in the pathogenesis of most liver diseases, which can lead to liver failure. Secondhand smoke (SHS) is a serious public problem. This research explored the correlation between SHS and the indicators of liver injury.

METHODS

This cross-sectional study was based on the National Health and Nutrition Examination Survey (NHANES) 2011-2016. The relationship between SHS and indicators of liver injury was explored by the weighted linear regression model and smooth curve fitting. The weighted threshold saturation effect model tested the relationship and inflection point between them. Mediation analyses were used to explore whether body mass index (BMI) mediates the correlation between SHS and liver injury indicators.

RESULTS

Our cross-sectional study included 3811 non-smoking participants (aged 20-80 years). The full covariate adjustment model (β= -0.05; 95% CI: -0.08 - -0.02) showed a significant and negative correlation between log cotinine and albumin (ALB). Compared to the unexposed group, the ALB, and total protein (TP) were decreased by 0.16 g/dL, 0.26 g/dL in the heavy exposure group [ALB: -0.16 (-0.26 - -0.05), TP: -0.26 (-0.38 - -0.13)], respectively. Smoothed curve fitting revealed a nonlinear relationship between log cotinine and fibrosis-4 index (FIB-4 score), with the inflection point of log cotinine at -1.72. When log cotinine was < -1.72, the log cotinine significantly and positively correlated with the FIB-4 score (β=0.27; 95% CI: 0.06-0.49). BMI partially mediated the effect of SHS exposure on ALB or TP.

CONCLUSIONS

SHS has harmful effects on the liver in never-smoking adults. BMI partially mediated the effect of SHS exposure on ALB or TP. More prospective and basic research in the future is necessary to focus on validating our results.

Associations of cannabis use and body mass index-The Coronary Artery Risk Development in Young Adults (CARDIA) study

BACKGROUND

With increasing use of cannabis, we need to know if cannabis use and Body Mass Index (BMI) are associated.

METHODS

The Coronary Artery Risk Development in Young Adults Study followed Black and White adults over 30 years with assessments every 2 to 5 years in four centers in the USA. We assessed self-reported current and computed cumulative cannabis exposure at every visit, and studied associations with BMI, adjusted for relevant covariables in mixed longitudinal models. We also applied marginal structural models (MSM) accounting for the probability of having stopped cannabis over the last 5 years.

RESULTS

At the Year 30 visit, 1,912 (58 %) identified as women and 1,600 (48 %) as Black, mean age was 56 (SD 2) years. While 2,849 (85 %) had ever used cannabis, 479 (14 %) currently used cannabis. Overall, participants contributed to 35,882 individual visits over 30 years. In multivariable adjusted models, mean BMI was significantly lower in daily cannabis users (26.6 kg/m2, 95 %CI 26.3 to 27.0) than in participants without current use (27.7 kg/m2, 95 %CI 27.5 to 27.9, p < 0.001). Cumulative cannabis use was not associated with BMI. The MSM showed no change in BMI when stopping cannabis use over a 5-year period (β=0.2 kg/m2 total, 95 %CI -0.2 to 0.6).

CONCLUSIONS

Current cannabis use was associated with lower BMI, but cumulative cannabis use and cessation were not. This suggests that recreational cannabis use may not lead to clinically relevant changes in BMI and that the association between current cannabis use and lower BMI is likely due to residual confounding.

High cotinine levels as an associated factor with frailty status in older adults: evidence from the NHANES study

INTRODUCTION

Smoking has been recognized as a contributing factor to frailty in older adults. Nevertheless, it remains uncertain whether the degree of smoking has a discernible impact on frailty among older smokers. This cross-sectional study was conducted to investigate the correlation between serum cotinine levels, a biomarker reflecting tobacco exposure, and the presence of frailty within a nationally representative cohort of older adults.

METHOD

A total of 1626 individuals aged ≥ 60 who identified as smokers were included in the analysis. Participants were selected based on self-reported current smoking status. According to the Fried Phenotype, frailty is assessed through five dimensions: unintentional weight loss, slow walking speed, weakness, self-reported exhaustion, and low physical activity. Participants with three or more of these conditions were categorized as frailty, those with at least one but less than three as pre-frailty, and those with none as robust. Multinomial logistic regression models were employed to explore the relationship between serum cotinine level quartiles, with the lowest quartile as the reference group, and the various frailty statuses, with robustness as the reference category. These models were adjusted for covariates, including age, sex, race/ethnicity, alcohol drinking, daily protein intake, systolic blood pressure, serum albumin level, depressive symptoms, and cognitive function. The data used for this analysis were sourced from the National Health and Nutrition Examination Survey for the years 2011 to 2014.

RESULTS

The median age of the participants was 69.0 years. The majority were male (62.2%) and non-Hispanic White (49.0%). The distribution of frailty statuses among the participants revealed that the highest proportion had pre-frailty (50.7%), followed by robustness (41.1%), and frailty (8.2%). Multinomial logistic regression showed that participants in the 4th quartile of serum cotinine level exhibited a higher probability of pre-frailty versus robustness (Odds ratio [OR] 1.599, 95% confidence interval [CI] 1.017, 2.513, P = 0.042). Participants in the 3rd quartile of serum cotinine level had higher odds of frailty versus robustness (OR 2.403, 95% CI 1.125, 5.134, P = 0.024). Moreover, participants whose serum cotinine levels were higher than the literature cutoffs (≥ 15 ng/ml) were more likely to be pre-frail (Odds ratio [OR] 1.478, 95% confidence interval [CI] 1.017, 2.150, P = 0.035) or frail (Odds ratio [OR] 2.141, 95% confidence interval [CI] 1.054, 4.351, P = 0.041).

CONCLUSIONS

A higher serum cotinine level is linked to an elevated probability of pre-frailty and frailty among older smokers. Initiatives geared towards assisting older smokers in reducing or quitting their smoking habits might possibly play a crucial role in preventing pre-frailty and frailty.

Mortality from type 2 diabetes mellitus across municipalities in Mexico

BACKGROUND

One in six Mexican adults' lives with type 2 diabetes mellitus (T2DM), which is the third leading cause of death in the country. Analyzing the geographic distribution of T2DM mortality helps identify regions with higher mortality rates. This study aimed to examine the spatial patterns of mortality from type 2 diabetes mellitus (T2DM) across municipalities in Mexico and to analyze the main contextual factors linked to this cause of death in 2020.

METHODS

We employed a spatial Bayesian hierarchical regression model to estimate the risk and probability of death from type 2 diabetes mellitus (T2DM) across Mexico's municipalities.

RESULTS

The SMR results revealed geographic and age-specific patterns. Central Mexico and the Yucatán Peninsula exhibited the highest excess mortality rates. For the population under 50 years of age, municipalities in Oaxaca had the highest T2DM mortality rates, whereas those aged 50 years old and older had the highest rates in Tlaxcala and Puebla. Socioeconomic factors such as low levels of educational attainment, lack of health services, dietary deficiency, and marginalization were positively associated with increased T2DM mortality risk. By contrast, GDP per capita showed a negative association. High-risk areas for T2DM mortality were prominent along the south of the Pacific Coast, the Bajío, Central Mexico, and southern Yucatán for those under 50, and along a central strip extending to the Yucatán Peninsula for the older population. Significant uncertainties in mortality risk were identified, with Central Mexico, Oaxaca, Chiapas, and Tabasco showing high probabilities of excess risk for those under 50 years of age and extended risk areas along the Gulf of Mexico for those 50 years old and older.

CONCLUSIONS

The assessment and identification of spatial distribution patterns associated with T2DM mortality, and its main contextual factors, are crucial for informing effective public health policies aimed at reducing the impact of this chronic disease in Mexico.

Tobacco Use, Food Insecurity, and Low BMI in India's Older Population

BACKGROUND

Underweight is a prevalent condition among older adults in developing countries and poses a substantial burden on health, social, and aged-care systems. In this study, we examined the influence of tobacco use and food insecurity on the risk of being underweight among adults aged 60 or older in India.

METHODS

We used data from the 2017-2018 Longitudinal Aging Study in India. The sample size was 27,902 adults aged 60 years and above. We distinguished between smoking and smokeless tobacco use to examine how they may independently contribute to the outcome, while food insecurity was measured using the four-item version of the Food Insecurity Experience scale. Multivariable logistic regressions were conducted to assess the impact of tobacco use and food insecurity on the outcome. Additionally, we tested interactions between tobacco use and education, as well as between tobacco use and wealth.

RESULTS

The prevalence of underweight was 27% in the study population. Older adults who used smoking tobacco were twice more likely to be underweight than non-users (OR = 2.07, 95% CI = 1.79 to 2.40, p < 0.001), controlling for other confounders. The positive association between smokeless tobacco use and underweight was weaker but still significant (OR = 1.26, 95% CI = 1.11 to 1.42, p < 0.001). Food-insecure older adults were also more likely to be underweight (OR = 1.27, 95% CI = 1.10 to 1.48, p < 0.001). Other risk factors of underweight included males, rural residents, lower socioeconomic status (in terms of education, wealth, and caste), chewing disability, poor self-rated health, chronic lung disease, and tuberculosis. Interestingly, tobacco use moderated the relationship between wealth and underweight, such that smokers are more likely to be underweight as they become more affluent.

CONCLUSIONS

Tobacco use and food insecurity have adverse implications on the nutritional status of the older persons in developing countries such as India. More targeted tobacco cessation measures and active food assistance programs for older adults are warranted to improve the overall health status of the older demographic.

Long-term metabolic side effects of second-generation antipsychotics in Chinese patients with schizophrenia: A within-subject approach with modelling of dosage effects

BACKGROUND

Second-generation antipsychotics (SGAs) are commonly used to treat schizophrenia (SCZ), but SGAs may differ in the severity of side effects. Long-term studies are lacking, and previous observational studies have limitations, such as failure to account for confounding factors and short follow-up durations.

AIMS

To compare the long-term anthropometric and metabolic side effects of seven SGAs in a Chinese population, using a within-subject approach to reduce the risk of confounding.

METHOD

We collected longitudinal data of SGA prescriptions, concomitant medications, fasting blood glucose (BG), lipid profiles, and BMI in a cohort of 767 patients with SCZ, with follow-up lasting up to 18.7 years (median ∼6.2 years). A total of 192,152 prescription records were retrieved, with 27,723 metabolic measures analysed. Linear mixed models were used to estimate the effects of SGA on BG, lipid profiles and BMI. Besides studying the effects of SGA medications (as binary predictors), we also investigated the effects of SGA dosage on metabolic profiles.

RESULTS

Considering SGA medications as binary predictors, clozapine and olanzapine were associated with the most substantial worsening of lipid profiles and BMI. A significant increase in BG was observed with clozapine only. Amisulpride, paliperidone and quetiapine were associated with worsened lipid profiles and increased BMI. Conversely, aripiprazole was associated with significant improvement in lipid profiles but a small increase in BMI. When SGA dosage was considered, the model showed consistent results overall. At the minimum effective dose, clozapine was associated with the most severe metabolic side effects, followed by olanzapine. Risperidone and aripiprazole showed the least metabolic side effects, with aripiprazole being significantly associated with lower lipids.

CONCLUSIONS

This study clarified the long-term and dose-dependent effects of different SGAs on anthropometric and metabolic parameters in Chinese SCZ patients. Our findings may inform clinicians and SCZ patients of SGA choices.

Identification of Sweetness Preference-Related Single-Nucleotide Polymorphisms for Polygenic Risk Scores Associated with Obesity

Our study aimed to identify sweetness preference-associated single-nucleotide polymorphisms (SNPs), characterize the related genetic loci, and develop SNP-based polygenic risk scores (PRS) to analyze their associations with obesity. For genotyping, we utilized a pooled genome-wide association study (GWAS) dataset of 18,499 females and 10,878 males. We conducted genome-wide association analyses, functional annotation, and employed the weighted method to calculate the levels of PRS from 677 sweetness preference-related SNPs. We used Cox proportional hazards modeling with time-varying covariates to estimate age-adjusted and multivariable hazard ratios (HRs) and 95% confidence intervals (CIs) for obesity incidence. We also tested the correlation between PRS and environmental factors, including smoking and dietary components, on obesity. Our results showed that in males, the TT genotype of rs4861982 significantly increased obesity risk compared to the GG genotype in the Health Professionals Follow-up Study (HPFS) cohort (HR = 1.565; 95% CI, 1.122-2.184; p = 0.008) and in the pooled analysis (HR = 1.259; 95% CI, 1.030-1.540; p = 0.025). Protein tyrosine phosphatase receptor type O (PTPRO) was identified as strongly associated with sweetness preference, indicating a positive correlation between sweetness preference and obesity risk. Moreover, each 10 pack-year increment in smoking was significantly associated with an increased risk of obesity in the HPFS cohort (HR = 1.024; 95% CI, 1.000-1.048) in males but not in females. In conclusion, significant associations between rs4861982, sweetness preference, and obesity were identified, particularly among males, where environmental factors like smoking are also correlated with obesity risk.

Metformin ameliorates neuroinflammatory environment for neurons and astrocytes during in vitro and in vivo stroke and tobacco smoke chemical exposure: Role of Nrf2 activation

Despite the protective nature of the blood-brain barrier (BBB) and brain-protecting tissues, some types of CNS injury or stress can cause cerebral cytokine production and profound alterations in brain function. Neuroinflammation, which can also be accompanied by increased cerebral cytokine production, has a remarkable impact on the pathogenesis of many neurological illnesses, including loss of BBB integrity and ischemic stroke, yet effective treatment choices for these diseases are currently lacking. Although little is known about the brain effects of Metformin (MF), a commonly prescribed first-line antidiabetic drug, prior research suggested that it may be useful in preventing BBB deterioration and the increased risk of stroke caused by tobacco smoking (TS). Therefore, reducing neuroinflammation by escalating anti-inflammatory cytokine production and declining pro-inflammatory cytokine production could prove an effective therapeutic strategy for ischemic stroke. Hence, the current investigation was planned to explore the potential role of MF against stroke and TS-induced neuroinflammation and reactive oxygen species (ROS) production. Our studies revealed that MF suppressed releasing pro-inflammatory mediators like tumor necrosis factor-α (TNF-α) and interleukin-1β (IL-1β) by aiming at the nuclear factor kappa B (NF-κB) signaling pathway in primary neurons and astrocytes. MF also upregulated anti-inflammatory mediators, like interleukin-10 (IL-10), and interleukin-4 (IL-4), by upregulating the Nrf2-ARE signaling pathway. Adolescent mice receiving MF along with TS exposure also showed a notable decrease in NF-κB expression compared to the mice not treated with MF and significantly decreased the level of TNF-α, IL-1β, MCP-1, and MIP-2 and increased the levels of IL-10 and IL-4 through the activation of Nrf2-ARE signaling pathway. These results suggest that MF has anti-neuroinflammatory effects via inhibiting NF-κB signaling by activating Nrf2-ARE. These studies support that MF could be a strong candidate drug for treating and or preventing TS-induced neuroinflammation and ischemic stroke.

Tweeting environmental pollution: Analyzing twitter language to uncover its correlation with county-level obesity rates in the United States

BACKGROUND

Environmental pollution has been linked to obesogenic tendencies. Using environmental-related posts from Twitter (now known as X) from U.S. counties, we aim to uncover the association between Twitter linguistic data and U.S. county-level obesity rates.

METHODS

Analyzing nearly 300 thousand tweets from January 2020 to December 2020 across 207 U.S. counties, using an innovative Differential Language Analysis technique and drawing county-level obesity data from the 2020 Food Environment Atlas to identify distinct linguistic features in Twitter relating to environmental-related posts correlated with socioeconomic status (SES) index indicators, obesity rates, and obesity rates controlled for SES index indicators. We also employed predictive modeling to estimate Twitter language's predictive capacity for obesity rates.

RESULTS

Results revealed a negative correlation between environmental-related tweets and obesity rates, both before and after adjusting for SES. Contrarily, non-environmental-related tweets showed a positive association with higher county-level obesity rates, indicating that individuals living in counties with lower obesity rates tend to tweet environmental-related language more frequently than those living in counties with higher obesity rates. The findings suggest that linguistic patterns and expressions employed in discussing environmental-related themes on Twitter can offer unique insights into the prevailing cross-sectional patterns of obesity rates.

CONCLUSIONS

Although Twitter users are a subset of the general population, incorporating environmental-related tweets and county-level obesity rates and using a novel language analysis technique make this study unique. Our results indicated that Twitter users engaging in more active dialog about environmental concerns might exhibit healthier lifestyle practices, contributing to reduced obesity rates.

Development and Validation of the GAASThyriC Model for Predicting Patients with Suboptimal Clinical Response After Laparoscopic Sleeve Gastrectomy and a Practical Calculator: A Retrospective Cohort Study

BACKGROUND

It might not be possible to achieve the desired outcome in every patient following bariatric surgery, even though every patient is thoroughly examined before surgery. This study aimed to develop a regression model based on parameters that affect weight loss success in patients scheduled for laparoscopic sleeve gastrectomy (LSG) and thus preoperatively predict whether the patients will have an optimal clinical response in terms of weight loss at the end of the first year.

MATERIALS AND METHODS

Between January 2018 and August 2022, patients who underwent LSG were analyzed retrospectively. Age, sex, comorbidities, smoking status, alcohol use status, preoperative weight, preoperative body mass index (BMI), preoperative laboratory data, weight, and total weight loss (TWL)% values at the end of the first year were recorded. At the end of the first year following LSG, patients with TWL% above 20% were defined as having an optimal clinical response in terms of weight loss. This study is designed, conducted, and reported regarding the "transparent reporting of a multivariable prediction model for individual prognosis or diagnosis" (TRIPOD) statement. The final model was used to construct an Excel-based calculator.

RESULTS

Four hundred thirty-eight patients underwent the sleeve gastrectomy procedure, and 38 of them were excluded from the study because of a lack of 1-year follow-up information, resulting in 400 eligible patients for our study. Age, glucose, thyroid stimulating hormone (TSH), alcohol consumption, systemic immune inflammation index (SII), and tobacco were the independent predictors of optimal clinical response ( P <0.001, P <0.001, P <0.001, P =0.011, P =0.039, P =0.045, respectively). The model was called the GAASThyriC score. When the final model was tested in the validation cohort, the AUC was 0.875 (95% CI, 0.742-0.999), the sensitivity was 83.3% (95% CI, 51.6-97.9), specificity was 86.4% (95% CI, 77.4-92.8), negative likelihood ratio was 0.19 (95% CI, 0.05-0.68), and accuracy was 86% (95% CI, 77.6-92.1) when the cutoff value was set to the optimal threshold (logit = 0.8451).

CONCLUSION

The GAASThyriC score can be used as an effective auxiliary tool to predict the patient population with suboptimal clinical response in terms of TWL% at the end of the first year after LSG.

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.

Unhealthy Weight Control Behaviors according to the Status of Combustible Cigarette and Noncombustible Nicotine or Tobacco Product Use among Korean Adolescents with Experience Attempting to Reduce or Maintain Their Body Weight: The 15th Korea Youth Risk Behavior Survey, 2019

BACKGROUND

Noncombustible nicotine or tobacco product (NNTP) use, and cigarette smoking are associated with a high likelihood of unhealthy weight control behaviors (UWCBs) among adolescents. However, no study has addressed the differences in UWCBs among non-users, single users of combustible cigarettes (CCs) or NNTPs and dual users. This study compared the frequencies of weight control behaviors according to the status of CC and NNTP use among Korean adolescents.

METHODS

This was a cross-sectional study of 25,094 adolescents who had attempted to reduce or maintain their body weight during the past 30 days, using data from the 15th Korea Youth Risk Behavior Survey, 2019. Data on the status of CC and NNTP use, weight status, and weight control behaviors were obtained using self-report questionnaires. Subjects were categorized into four groups: non-users, cigarette-only users, NNTP-only users, and dual users.

RESULTS

Among boys and girls, current smokers and NNTP users were 8.9%±0.3% and 5.5%±0.3%, and 4.2%±0.2% and 1.7%±0.1%, respectively. Among boys, NNTP-only users were more likely to engage in extreme weight control behaviors than non-users. Among girls, users of either CCs or NNTPs were more likely to engage in extreme weight control behaviors and less extreme weight control behaviors than non-users.

CONCLUSION

This study shows that users of either CCs or NNTPs are more likely to engage in UWCBs, and NNTP-only users are the most likely to do so.

Targeting GLP-1 receptors to reduce nicotine use disorder: Preclinical and clinical evidence

Nicotine use disorder (NUD) remains a leading cause of preventable death in the U.S. Unfortunately, current FDA-approved pharmacotherapies for smoking cessation have limited efficacy and are associated with high rates of relapse. One major barrier to long-term smoking abstinence is body weight gain during withdrawal. Nicotine withdrawal-induced body weight gain can also lead to development of chronic disease states like obesity and type II diabetes mellitus. Therefore, it is critical to identify novel pharmacotherapies for NUD that decrease relapse and nicotine withdrawal symptoms including body weight gain. Recent studies demonstrate that glucagon-like peptide-1 receptor (GLP-1R) agonists attenuate voluntary nicotine taking and seeking and prevent withdrawal-induced hyperphagia and body weight gain. Emerging evidence also suggests that GLP-1R agonists improve cognitive deficits, as well as depressive- and anxiety-like behaviors, which contribute to smoking relapse during withdrawal. While further studies are necessary to fully characterize the effects of GLP-1R agonists on NUD and understand the mechanisms by which GLP-1R agonists decrease nicotine withdrawal-mediated behaviors, the current literature supports GLP-1R-based approaches to treating NUD.

Estimating causality between smoking and abdominal obesity by Mendelian randomization

BACKGROUND AND AIMS

Smokers tend to have a lower body weight than non-smokers, but also more abdominal fat. It remains unclear whether or not the relationship between smoking and abdominal obesity is causal. Previous Mendelian randomization (MR) studies have investigated this relationship by relying upon a single genetic variant for smoking heaviness. This approach is sensitive to pleiotropic effects and may produce imprecise causal estimates. We aimed to estimate causality between smoking and abdominal obesity using multiple genetic instruments.

DESIGN

MR study using causal analysis using summary effect estimates (CAUSE) and latent heritable confounder MR (LHC-MR) methods that instrument smoking using genome-wide data, and also two-sample MR (2SMR) methods.

SETTING

Genome-wide association studies (GWAS) summary statistics from participants of European ancestry, obtained from the GWAS and Sequencing Consortium of Alcohol and Nicotine use (GSCAN), Genetic Investigation of Anthropometric Traits (GIANT) Consortium and the UK Biobank.

PARTICIPANTS

We used GWAS results for smoking initiation (n = 1 232 091), life-time smoking (n = 462 690) and smoking heaviness (n = 337 334) as exposure traits, and waist-hip ratio (WHR) and waist and hip circumferences (WC and HC) (n up to 697 734), with and without adjustment for body mass index (adjBMI), as outcome traits.

MEASUREMENTS

Smoking initiation, life-time smoking, smoking heaviness, WHR, WC, HC, WHRadjBMI, WCadjBMI and HCadjBMI.

FINDINGS

Both CAUSE and LHC-MR indicated a positive causal effect of smoking initiation on WHR (0.13 [95% confidence interval (CI) = 0.10, 0.16 and 0.49 (0.41, 0.57), respectively] and WHRadjBMI (0.07 (0.03, 0.10) and 0.31 (0.26, 0.37). Similarly, they indicated a positive causal effect of life-time smoking on WHR [0.35 (0.29, 0.41) and 0.44 (0.38, 0.51)] and WHRadjBMI [0.18 (0.13, 0.24) and 0.26 (0.20, 0.31)]. In follow-up analyses, smoking particularly increased visceral fat. There was no evidence of a mediating role by cortisol or sex hormones.

CONCLUSIONS

Smoking initiation and higher life-time smoking may lead to increased abdominal fat distribution. The increase in abdominal fat due to smoking is characterized by an increase in visceral fat. Thus, efforts to prevent and cease smoking can have the added benefit of reducing abdominal fat.

Exploring Vaping Patterns and Weight Management-Related Concerns among Adolescents and Young Adults: A Systematic Review

Background: Electronic cigarettes or vapes are battery-operated devices that heat a liquid, often containing nicotine and flavouring substances, to produce an inhalable aerosol. Despite being used as an alternative to traditional smoking, many studies have reported their health risks and ineffectiveness in smoking cessation. The impact of e-cigarettes on weight control behaviours, a known effect of traditional cigarette smoking, is unclear. Herein, a systematic review was conducted to explore the relationship between e-cigarette use and body weight changes in adolescents and young adults. Methods: The existing literature from databases such as PubMed, Cochrane Library, Embase, Science Direct, Web of Science, Scopus, and Google Scholar until October 2023 was searched and included in the review. The methodological quality of all selected studies was assessed using the Joanna Briggs Institute's (JBI) Critical Appraisal Checklists for Studies. Results: Out of 5117 citations, 20 publications featuring cross-sectional studies with adolescent participants were qualitatively analysed. The high rates of e-cigarette usage seemed to correlate with increased weight concerns, particularly among females. Regular e-cigarette users who reported being overweight and used calorie restriction for weight reduction were more likely to view vaping as a weight loss or control strategy. Young adults (<24 years) may consume more flavoured e-cigarettes than older users (>25 years). Conclusions: This study revealed a significant use of e-cigarettes among high school students, driven by taste preferences, weight management, and perceived harm reduction. Particularly among girls facing body image pressures, vaping serves as a weight control method. This highlights the need to assess cardiovascular risks and advocate for further research, including longitudinal studies, to inform public health strategies effectively.

Investigating the temporal trends of diabetes disease burden in China during 1990-2019 from a global perspective

Introduction

Diabetes poses a global public health challenge and our understanding of its temporal evolution in China relative to the rest of the world is limited. Our study aims to comprehensively examine the temporal trend of diabetes DALYs in China from a global perspective.

Methods

We analyzed data on diabetes incidence, prevalence, and mortality for individuals aged ≥20 years in China and globally from the Global Burden of Disease (GBD) 2019 study. We assessed trends in age-standardized incidence rate (ASIR) and age-standardized mortality rate (ASMR) of diabetes in China and globally by estimating annual percentage changes (EAPCs). We employed decomposition analysis to reveal factors driving the trend of diabetes DALYs in China.

Results

During 1990-2019, the number of diabetes patients increased by 160% from 35.14 million to 91.70 million in China. The ASIR of diabetes increased from 249 per 100,000 to 329 per 100,000 in China, which was lower than the global rate (419 per 100,000 in 2019). The EAPC of diabetes incidence was also lower in China compared to the global rate (1.02% vs. 1.57%). Consistently, the age-standardized prevalence rate of diabetes increased from 4788 per 100,000 to 8170 per 100,000 during 1990-2019 in China, which remained lower than the corresponding global rate (8827 per 100,000 in 2019). Further, the ASMR of diabetes increased from 9 per 100,000 to 15 per 100,000 during 1990-2019 in China, which was lower than the corresponding global rate (30 per 100,000 in 2019). However, EAPC of diabetes mortality in China was much higher than the global level (1.75% vs. 1.07%). Globally, the rising diabetes DALYs was predominantly attributed to population growth (55.2%) and epidemiologic changes (24.6%). In comparison, population growth (48.9%) also played an important role in the increasing diabetes DALYs in China, but aging (43.7%) was second major contributor.

Conclusion

Our findings show that diabetes DALYs in China followed a global increasing trend during 1990-2019. Notably, aging has a very substantial contribution to the increase in diabetes DALYs in China in addition to population growth. .

Bayesian network analysis of factors influencing type 2 diabetes, coronary heart disease, and their comorbidities

OBJECTIVE

Bayesian network (BN) models were developed to explore the specific relationships between influencing factors and type 2 diabetes mellitus (T2DM), coronary heart disease (CAD), and their comorbidities. The aim was to predict disease occurrence and diagnose etiology using these models, thereby informing the development of effective prevention and control strategies for T2DM, CAD, and their comorbidities.

METHOD

Employing a case-control design, the study compared individuals with T2DM, CAD, and their comorbidities (case group) with healthy counterparts (control group). Univariate and multivariate Logistic regression analyses were conducted to identify disease-influencing factors. The BN structure was learned using the Tabu search algorithm, with parameter estimation achieved through maximum likelihood estimation. The predictive performance of the BN model was assessed using the confusion matrix, and Netica software was utilized for visual prediction and diagnosis.

RESULT

The study involved 3,824 participants, including 1,175 controls, 1,163 T2DM cases, 982 CAD cases, and 504 comorbidity cases. The BN model unveiled factors directly and indirectly impacting T2DM, such as age, region, education level, and family history (FH). Variables like exercise, LDL-C, TC, fruit, and sweet food intake exhibited direct effects, while smoking, alcohol consumption, occupation, heart rate, HDL-C, meat, and staple food intake had indirect effects. Similarly, for CAD, factors with direct and indirect effects included age, smoking, SBP, exercise, meat, and fruit intake, while sleeping time and heart rate showed direct effects. Regarding T2DM and CAD comorbidities, age, FBG, SBP, fruit, and sweet intake demonstrated both direct and indirect effects, whereas exercise and HDL-C exhibited direct effects, and region, education level, DBP, and TC showed indirect effects.

CONCLUSION

The BN model constructed using the Tabu search algorithm showcased robust predictive performance, reliability, and applicability in forecasting disease probabilities for T2DM, CAD, and their comorbidities. These findings offer valuable insights for enhancing prevention and control strategies and exploring the application of BN in predicting and diagnosing chronic diseases.

The direct and spillover effects of diabetes diagnosis on lifestyle behaviours

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

Investigation of the Association between Bilateral Selective Anterograde Cerebral Perfusion and Postoperative Ischemic Stroke in Obese Patients with Emergency Surgery for Acute Type A Aortic Dissection

Background and objectives: The relationship between cerebral perfusion and new postoperative ischemic stroke in obese patients is not well defined. The aim of this study was to investigate the association between selective bilateral anterograde cerebral perfusion and new postoperative ischemic stroke in obese patients with emergency surgery for acute type A aortic dissection. Materials and methods: A total of 292 patients with emergency surgery for acute type A aortic dissection were included in this study. Patients with hemorrhagic stroke or ischemic stroke with severe neurological dysfunction at admission that were not candidates for surgery; patients who died in the first 48 h after intensive care admission and patients with incomplete medical records were excluded. Results: The mean age was 59.42 ± 10.68 years and the mean Euroscore was 9.12 ± 1.63. Obesity was present in 76.4%, the incidence of new postoperative ischemic stroke was 27.5%, and the postoperative mortality rate was 26.7%. The mean cardiopulmonary bypass time was 206.81 ± 75.48 min, the aortic cross-clamp time was 118.2 ± 46.42 min, and 90% of cases required cerebral perfusion. The mean cerebral perfusion time was 30.8 ± 24.41 min. Obese patients had a higher frequency of in-hospital death (p = 0.009), smoking (p = 0.036), hypertension (p = 0.023), left common carotid artery dissection (p < 0.001), right common carotid artery dissection (p = 0.029), femoral artery cannulation (p = 0.026), aortic root replacement (p = 0.009), aortic valve replacement (p = 0.005) and early reintervention for bleeding (p = 0.004). Using logistic regression, selective bilateral anterograde cerebral perfusion over 40 min in obese patients was independently associated with new postoperative ischemic stroke (OR = 2.35; 95%CI = 1.36-4.86; p = 0.021). Conclusions: A patient-tailored strategy for cerebral perfusion should be considered in obese patients, considering the high atheromatous burden of the supra-aortic vessels in these patients and the potential risk of atheromatous embolization associated with this technique.

Consumption of ultra-processed foods could influence the metabolic syndrome odds: A cross-sectional study

Metabolic syndrome (MetS) prevalence has augmented globally during recent decades. Over the past years, the consumption of ultra-processed foods (UPFs) has grown significantly worldwide. So, the present research investigated the association between UPFs and MetS in an Iranian sample. This cross-sectional research was conducted on people (n = 8841) in the Fasa cohort study, Fars province, Iran. The participants' dietary consumption over a year, UPF consumption, and MetS diagnosis were evaluated through a 125-item modified food frequency questionnaire, the NOVA food group classification, and the Adult Treatment Panel III of the National Cholesterol Education Program, respectively. The association between the quartiles (Q) of UPF intake and the odds of MetS was estimated using the backward LR method of multivariate analysis. In the multivariate model, after adjusting potential confounders, the association between UPF intake and the odds of MetS was significant (Q4: odds ratio (OR = 3.27; 95% confidence interval (CI): 2.76-3.89). Also, the odds of increasing triglycerides (TG), blood pressure, and fasting blood sugar (FBS) and decreasing high-density lipoprotein cholesterol (HDL-C) were significantly higher in the last quartile compared to the first quartile of UPFs (TG: OR = 1.71; 95% CI: 1.49-1.97, blood pressure: OR = 1.53; 95% CI: 1.30-1.79, FBS: OR = 1.30; 95% CI: 1.10-1.54, and HDL-C: OR = 1.22; 95% CI: 1.08-1.39). The current research found a relationship between UPF intake and MetS and its components, indicating a diet-containing UPFs can be related to the occurrence of noncommunicable diseases.

Repeated intratracheal instillation of whole-cigarette smoke condensate to assess lung damage in a rat model

Cigarette smoke induces an inflammatory response in the lungs by recruiting inflammatory cells, leading to lung diseases such as lung cancer, chronic obstructive pulmonary disease, and pulmonary fibrosis. Existing inhalation exposure methods for assessing the adverse effects of cigarette smoke require expensive equipment and are labor-intensive. Therefore, we attempted to develop a novel method to assess these adverse effects using intratracheal instillation (ITI) of whole cigarette smoke condensate (WCSC). The WCSC (0, 5, 10, or 20 mg/mL) was administered by ITI once daily for 6 or 12 days using an automatic video instillator. Repeated WCSC ITI increased the lung weight, and monocyte chemoattractant protein-1 (MCP-1), neutrophil, and lymphocyte levels within bronchoalveolar lavage fluid compared to the control. In the histopathological analysis of the lung tissue, a mild inflammatory response was observed in the 6 and 12 days 20 mg/mL WCSC exposure groups. The genome-wide RNA-seq expression patterns revealed that inflammatory and immune response-related genes, such as the chemokine signaling pathway, Th1/Th2 cell differentiation, and cytokine-cytokine receptor interaction, were employed following WCSC exposure. In addition, MCP-1 was time-dependent and increased in the 10 mg/mL exposure group compared to the control group. These results suggested that the WCSC might induce the potential pulmonary inflammatory response. Furthermore, we proposed that ITI may be a rapid and effective method of evaluating the adverse effects of WCSC within a short exposure period (less than 2 weeks), and it can be used to evaluate cigarette inhalation toxicity studies as an alternative method.

Trajectories of Body Mass Index and Risk for Diabetes Complications and All-Cause Mortality in Finnish Type 2 Diabetes Patients

Objective

We aimed to assess how longitudinal body mass index (BMI) trajectories are associated with diabetes complications and all-cause mortality in Finnish patients with type 2 diabetes (T2D).

Methods

In this cohort study, electronic health records from public primary and specialized healthcare services in all 13 municipalities of North Karelia, Finland, were utilized. This study included a total of 889 adults with newly diagnosed T2D in 2011 or 2012 (mean age at baseline 62.0 years). Individual BMI trajectories from the T2D diagnosis until 2014 were estimated and grouped by growth mixture modeling (GMM). Hazard ratios (HRs) with 95% confidence intervals (CIs) for microvascular complications, macrovascular complications, any diabetes complications, and all-cause mortality from 2015 to 2022 across BMI trajectory groups were estimated using Cox regression models.

Results

Three distinct BMI trajectory groups were identified using GMM and labeled as follows: "stable" (n = 774, 87.1%), "decreasing" (n = 87, 9.8%), and "increasing" (n = 28, 3.1%). During a median follow-up of 8 years, there were 119 (13.3%) patients with microvascular complications, 187 (21.0%) with macrovascular complications, 258 (29.0%) with any diabetes complications, and 180 (20.2%) deaths. Compared with the "stable" BMI, the "increasing" BMI was associated with an increased risk of microvascular complications (HR = 2.88, 95% CI: 1.32 to 6.28), macrovascular complications (HR = 2.52, 95% CI: 1.17 to 5.43), and any diabetes complications (HR = 2.21, 95% CI: 1.16 to 4.20). The "decreasing" BMI was associated with an increased risk of all-cause mortality (HR = 1.90, 95% CI: 1.14 to 3.15), compared to the "stable" BMI.

Conclusion

Our findings underscore the significance of continuous BMI monitoring and weight management in patients with T2D. Tailored treatments are crucial for efficiently preventing weight gain and reducing the risk of diabetes complications.

Intake of foods high in saturated fats, vegetarian dietary pattern, and sociodemographic characteristics associated with body weight in Peruvian university students

Background

The prevalence of obesity continues to increase among university students and the general population. Consumption of a diet high in saturated fats could be one of the risk factors.

Objective

The consumption of foods high in saturated fats, the vegetarian diet pattern, and sociodemographic characteristics associated with excess body weight (overweight/obesity) were evaluated in Peruvian university students.

Methods

A cross-sectional study was carried out selecting 5,608 Peruvian university students through no probabilistic convenience sampling. The survey was carried out during the months of February and April 2022. The Chi-square test and binary logistic regression analysis were used to evaluate the association between diet (saturated fats intake and dietary pattern) and sociodemographic factors with excess body weight in a cross-sectional analysis.

Results

It was observed that students who reported high consumption of foods high in saturated fats (ORB = 1.14) and those who had a non-vegetarian dietary pattern (ORB = 2.76) were found to be more likely to have excess body weight. On the contrary, students who reported adherence to the vegetarian diet pattern for more than 5 years were less likely to be overweight or obese (ORB = 0.84). Being ≥26 years of age (ORB = 3.28), living in urban areas (ORB = 1.68) and coastal areas of the country (ORB = 1.17), and enrolled in the engineering faculty (ORB = 1.19), were significantly associated with excess body weight.

Conclusion

The findings of the current study evidenced several factors associated with excess body weight in university students. Therefore, it is necessary to promote and implement healthy lifestyle programs, considering sociodemographic and dietary aspects such as age and dietary intake to control and prevent obesity in university students.

Analysis of Dietary and Nutritional Status of Tuberculosis Patients in Hulunbuir Region

Objective

Tuberculosis (TB) is a major public health problem that affects millions of people worldwide. Malnutrition is a common complication of TB and can worsen the disease outcome. The purpose of this study was to investigate the dietary and nutritional status, as well as the dietary structure, of TB patients in Hulunbuir City, Inner Mongolia, China. Additionally, the study aimed to analyze the factors that influence the nutritional status in order to provide a theoretical foundation for the prevention and treatment of TB and related issues.

Methods

A cross-sectional study was conducted on 334 randomly selected TB patients from Hulunbuir City Second Hospital. A questionnaire survey was administered to collect information on demographic characteristics, dietary habits, and food intake. Nutritional status was assessed by body mass index (BMI). Dietary diversity score (DDS) was calculated based on the number of food groups consumed in the previous 24 hours. Statistical analysis was performed using SPSS 20.0 software. Descriptive statistics employed rates and composition ratios, and categorical data was represented using frequencies and percentages. The chi-square test was used to analyze the association between nutritional status and other variables, with a significance level set at α=0.05. Multivariable ordinal logistic regression analysis was performed to identify the independent factors affecting the nutritional status of TB patients.

Results

The univariate analysis revealed statistically significant differences (P < 0.05) in the nutritional status (as measured by BMI) among tuberculosis patients, considering ethnicity, educational level, smoking, meat-based diet, vegetable consumption, and DDS grading. No statistically significant differences were found regarding gender, age, marital status, occupation, sleep duration, alcohol consumption, and consumption of rice and flour dishes. Statistically significant variables from the univariate analysis were included in a multivariable ordinal logistic regression analysis model. The findings highlighted that educational level (high school or below), smoking, meat-based diet, DDS scores of 1-3, and a primarily vegetable-based diet had independent effects on the nutritional status of tuberculosis patients (all P < 0.05). No significant difference was found in nutritional status between the Han ethnic group and other ethnicities.

Conclusion

The study revealed that the dietary and nutritional status of TB patients in Hulunbuir City was suboptimal and influenced by several factors. Smoking, meat-based diet, and low dietary diversity score were the primary risk factors for malnutrition among TB patients. The study suggests that nutritional education and intervention programs should be implemented for TB patients to improve their dietary quality and nutritional status.

Metabolically Unhealthy Normal Weight: Prevalence and Associated Factors in an Adult Population from Northwest Colombia

Background and Aim

Individuals with a normal weight may have metabolic alterations at risk for chronic non-communicable diseases. The prevalence of this condition and associated factors have not been reported in Latin American populations. We aimed to estimate the presence and associated factors of Metabolically Unhealthy Normal Weight (MUNW) in adults from a public program for the control and prevention of chronic diseases in Medellín, Colombia.

Methods

Cross-sectional study. Overweight and normal weight were characterized according to the absence or presence of one or more components of the metabolic syndrome, obtaining four phenotypes: Metabolically Healthy Normal Weight (MHNW), MUNW (phenotype of interest), Metabolically Healthy Overweight (MHO), and Metabolically Unhealthy Overweight (MUO). The association of these phenotypes with sociodemographic variables of lifestyles and increased waist circumference was conducted by using logistic regression.

Results

In 37,558 individuals (72.7% women), the prevalence of MUNW was 23.3%. Among the additional phenotypes, MUO was found to be more prevalent (71.6%), while MHNW and MHO were very slightly common, 2% and 3.1%, respectively. In a multiple model, the factors associated with MUNW were age over 60 years (trend [OR 1.56 95% CI 0.97-2.52] p-value = 0.066), living in a rural area ([OR 1.58 95% CI 1.09-2.29] p-value = 0.015), and increased waist circumference ([OR 1.68 95% CI 1.45-1.95] p-value < 0.001). Male gender was inversely associated with all phenotypes (P < 0.05).

Conclusion

Almost a quarter of the analyzed population presented MUNW. People living in a rural area and over 60 years old were more likely to present MUNW. Men were less likely to present the weight phenotypes studied, although they could have been underrepresented.

A Model of Individual BMI Trajectories

A risk factor model of body mass index (BMI) is an important building block of health simulations aimed at estimating government policy effects with regard to overweight and obesity. We created a model that generates representative population level distributions and that also mimics realistic BMI trajectories at an individual level so that policies aimed at individuals can be simulated. The model is constructed by combining several datasets. First, the population level distribution is extracted from a large, cross-sectional dataset. The trend in this distribution is estimated from historical data. In addition, longitudinal data are used to model how individuals move along typical trajectories over time. The model faithfully describes the population level distribution of BMI, stratified by sex, level of education and age. It is able to generate life course trajectories for individuals which seem plausible, but it does not capture extreme fluctuations, such as rapid weight loss.

Combined Fat Mass and Fat-free Mass Indices and Lung Function Among Japanese Population: The Tohoku Medical Megabank Community-based Cohort Study

BACKGROUND

Although fat mass index (FMI) and fat-free mass index (FFMI) affect lung function, FMI and FFMI are not independent of each other, since FMI and FFMI were calculated as fat mass and fat-free mass divided by height squared, respectively. We aimed to examine the association of combined FMI and FFMI with lung function.

METHODS

In this cross-sectional study, lung function was evaluated using forced expiratory volume at 1 s (FEV1) and forced vital capacity (FVC) measured using spirometry. Both FMI and FFMI were classified into sex-specific quartiles (16 groups). Analysis of covariance was used to assess the associations of combined FMI and FFMI with lung function. The trend test was conducted by stratifying the FMI and FFMI, scoring the categories from 1-4 (lowest-highest), and entering the number as a continuous term in the regression model.

RESULTS

This study included 3,736 men and 8,821 women aged ≥20 years living in Miyagi Prefecture, Japan. The mean FEV1 was 3.0 (standard deviation [SD], 0.7) L for men and 2.3 (SD, 0.5) L for women. The mean FVC was 3.8 (SD, 0.7) L for men and 2.8 (SD, 0.5) L for women. FMI was inversely associated with lung function among all FFMI subgroups in both sexes. Conversely, FFMI was positively associated with lung function in all FMI subgroups in both sexes.

CONCLUSION

Higher FMI was associated with lower lung function independent of FFMI; higher FFMI was associated with higher lung function independent of FMI. Reducing FMI and maintaining FFMI might be important for respiratory health.

Global burden of esophageal cancer attributable to high BMI in 204 countries and territories: 1990-2019

BACKGROUND

Esophageal cancer (EC), a common and fatal disease, includes two histological subtypes; esophageal squamous cell carcinoma (ESCC) and esophageal adenocarcinoma (ECA). To aid policymakers in the allocation of resources for the prevention and treatment of EC, updated data on EC deaths and disability-adjusted life years (DALYs) attributable to high body mass index (BMI) are necessary. The objective of this study was to identify trends in EC associated with high BMI between 1990 and 2019 using 2019 Global Burden of Disease data.

METHODS

In this observational population-based study, epidemiological data on the association between high BMI and EC were obtained from GBD 2019. The age-standardized mortality rate (ASMRs) and disability-adjusted life year rate (ASDRs) attributable to high BMI-related EC were stratified by year, age, country, and sociodemographic index (SDI). The estimated annual percentage change (EAPC) was calculated to evaluate the temporal trends of the ASMRs and ASDRs between 1990 and 2019.

RESULTS

In 2019, the proportion of EC deaths and DALYs attributed to high BMI was 18.1% and 18.9%, respectively, resulting in 89 904 (95% confidence interval [CI]: 27 879-171 255) deaths and 2 202 314 (95% CI: 681 901-4 173 080) DALYs. High BMI-related deaths and DALYs showed a strong upward trend, increasing by more than two-fold since 1990. East Asia and Western Europe showed the highest risk of EC mortality and DALYs attributable to high BMI; China and the USA bear the greatest burden. The ASMR and ASDR increased in five SDI regions.

CONCLUSIONS

The incidence of EC is increasing, particularly in developing nations, which may be attributed to the prevalence of high BMI. To mitigate the impact of high BMI on the incidence of EC, it is important to increase awareness of its deleterious effects, which may alleviate the burden of this disease.