Interaction of tobacco smoking and alcohol consumption with obesity on cardiovascular disease in a Chinese cohort

Association between android fat mass, gynoid fat mass and cardiovascular and all-cause mortality in adults: NHANES 2003-2007

Objectives

Evidence of the relationship between android fat mass and gynoid fat mass with the mortality prediction is still limited. Current study analyzed the NHANES database to investigate the relationship between android fat mass, gynoid fat mass and CVD, with all-cause mortality.

Method

The study subjects were NHANES participants over 20 years old, two indicators of regional body composition, android fat and gynoid fat were measured by Dual Energy x-ray Absorptiometry (DEXA). The other various covariates data obtained from the NHANES questionnaire and laboratory measurements, including age, gender, education, race/ethnicity, uric acid, total serum cholesterol, albumin, Vitamin C, folate, alcohol drinking, smoking status, history of diabetes, and hypertension. Mortality status was ascertained from a linked mortality file prepared by the National Center for Health Statistics. The study population was divided quartiles based on the distribution of android fat mass and gynoid fat mass. The relationship between these two indicators with cardiovascular and all-cause mortality was investigated by using Cox regression. The covariates age, gender, smoking status, drinking status, history of diabetes, and history of hypertension were stratified.

Results

In the fully adjusted model, Q3 had the lowest HR in android fat mass and gynoid fat mass. When examining the relationship between android fat mass and CVD mortality, current smokers and drinkers had the lowest CVD risk in Q2 [smoking: 0.21 (0.08, 0.52), drinking: 0.14 (0.04, 0.50)]. In diabetic patients, compared with Q1, other groups with increased android fat mass can significantly reduce the risk of CVD [Q4: 0.17 (0.04, 0.75), Q3: 0.18 (0.03, 1.09), Q2: 0.27 (0.09, 0.83)]. In ≥60 years old and female, the greater the gynoid fat mass, the smaller the HR of all-cause mortality [Q4 for ≥60 years old: 0.57 (0.33, 0.96), Q4 for female: 0.37 (0.23, 0.58)]. People <60 years old had a lower risk of all-cause mortality with gynoid fat mass in Q3 than those ≥60 years old [<60 years: 0.50 (0.27, 0.91), ≥60 years: 0.65 (0.45, 0.95)]. Among subjects without hypertension, the group with the largest android fat mass had the lowest risk of CVD mortality, and the group with the largest gynoid fat mass had the lowest risk of all-cause mortality [Android fat mass: 0.36 (0.16, 0.81), gynoid fat mass: 0.57 (0.39, 0.85)].

Conclusion

Moderate android fat mass and gynoid fat mass (Q3) had the most protective effect. Smokers and drinkers need to control their body fat. Being too thin is harmful to people with diabetes. Increased gynoid fat mass is a protective factor for all-cause mortality in older adults and females. Young people's gynoid fat mass is more protective in the moderate range than older people's. If no high blood pressure exists, people with more android and gynoid fat mass have a lower risk of CVD or all-cause mortality.

Trends in Prevalence of Hypertriglyceridemia and Related Factors in Korean Adults: A Serial Cross-Sectional Study

Objective

We aimed to investigate the longitudinal trends in prevalence of hypertriglyceridemia in Korean adults and hypertriglyceridemia-associated lifestyle habits, socioeconomic factors and comorbidities.

Methods

Data from the 2007-2020 Korea National Health and Nutrition Examination Survey (KNHANES) were used in this study. Two cutoff values (≥150 mg/dL and ≥200 mg/dL) for fasting serum triglyceride levels were used to estimate the age- and sex-specific prevalence of hypertriglyceridemia. Use of lipid-lowering medications, lifestyle factors such as smoking, alcohol consumption, and regular exercise, socioeconomic variables such as educational attainment and household income, and comorbidities such as obesity, abdominal obesity, hypertension, and diabetes mellitus were also investigated.

Results

The prevalence of hypertriglyceridemia among Koreans based on KNHANES 2007-2020 was 29.6% at ≥150 mg/dL and 16.1% at ≥200 mg/dL. While the rate of using lipid-lowering medications increased steadily from 2007 to 2020, changes in annual prevalence of hypertriglyceridemia were subtle. The prevalence of hypertriglyceridemia in men peaked in middle age (47.7% and 30.0% for ≥150 mg/dL and ≥200 mg/dL, respectively, in their 40s), but its prevalence in women increased throughout their lifetime (32.6% and 14.7% for ≥150 mg/dL and ≥200 mg/dL, respectively, in their 70s). Smoking and high-risk drinking exacerbated peak prevalence in both sexes. Young adults with any comorbidities had prominently increased prevalence of hypertriglyceridemia. The lowest levels of education and income were both associated with the higher prevalence of hypertriglyceridemia in both sexes.

Conclusion

It is important to understand the age- and sex-specific epidemiology of hypertriglyceridemia to establish its appropriate management plans.

Synergistic interactions of obesity with sex, education, and smoking and accumulation of multi-morbidity (MM) across the lifespan

Objectives

Obesity is a potentially modifiable risk factor that has been consistently associated with the development and progression of multi-morbidity (MM). However, obesity may be more problematic for some persons compared to others because of interactions with other risk factors. Therefore, we studied the effect of interactions between patient characteristics and overweight and obesity on the rate of accumulation of MM.

Methods

We studied 4 cohorts of persons ages 20-, 40-, 60-, and 80-years residing in Olmsted County, Minnesota between 2005 and 2014 using the Rochester Epidemiology Project (REP) medical records-linkage system. Body mass index, sex, race, ethnicity, education, and smoking status were extracted from REP indices. The rate of accumulation of MM was calculated as the number of new chronic conditions accumulated per 10 person years through 2017. Poisson rate regression models were used to identify associations between characteristics and rate of MM accumulation. Additive interactions were summarized using relative excess risk due to interaction, attributable proportion of disease, and the synergy index.

Results

Greater than additive synergistic associations were observed between female sex and obesity in the 20- and 40-year cohorts, between low education and obesity in the 20-year cohort (both sexes), and between smoking and obesity in the 40-year cohort (both sexes).

Conclusions

Interventions targeted at women, persons with lower education, and smokers who also have obesity may result in the greatest reduction in the rate of MM accumulation. However, interventions may need to focus on persons prior to mid-life to have the greatest effect.

Association of Chinese Visceral Adiposity Index and Its Dynamic Change With Risk of Carotid Plaque in a Large Cohort in China

Background

We aimed to evaluate the association between the Chinese visceral adiposity index (CVAI) and its dynamic change and risk of carotid plaque based on a large Chinese cohort.

Methods and Results

This cohort included 23 522 participants aged 20 to 80 years without elevated carotid intima‐media thickness and carotid plaque at baseline and who received at least 2 health checkups. CVAI was calculated at baseline and at every checkup. The dynamic change in CVAI was calculated by subtracting CVAI at baseline from that at the last follow‐up. Cox proportional hazard regression model was used to estimate hazard ratios (HRs) and 95% CIs. The restricted cubic spline was applied to model the dose‐response association between CVAI and carotid plaque risk. During the 82 621 person‐years of follow‐up, 5987 cases of carotid plaque developed (7.25/100 person‐years). We observed a significant positive correlation between CVAI and carotid plaque risk (HR, 1.53; 95% CI, 1.48–1.59 [P<0.001]) in a nonlinear dose‐response pattern (P_nonlinearity<0.001). The sensitivity analyses further confirmed the robustness of the results. The association was significant in all subgroup analyses stratified by sex, hypertension, and fatty liver disease except for the diabetes subgroup. The association between CVAI and carotid plaque risk was much higher in men than in women. No significant association was identified between change in CVAI and carotid plaque risk.

Conclusions

CVAI was positively associated with carotid plaque risk in a nonlinear dose‐response pattern in this study. Individuals should keep their CVAI within a normal level to prevent the development of carotid plaque.

Association Between the Persistence of Obesity and the Risk of Gastric Cancer: A Nationwide Population-Based Study

Purpose

There remains controversy about relationship between obesity and gastric cancer. We aimed to examine the association using obesity-persistence.

Materials and Methods

We analyzed a nationwide population-based cohort which underwent health check-up between 2009 and 2012. Among them those who had annual examinations during the last 5 years were selected. Gastric cancer risk was compared between those without obesity during the five years (never-obesity group) and those with obesity diagnosis during the five years (non-persistent obesity group; persistent obesity group).

Results

Among 2,757,017 individuals, 13,441 developed gastric cancer after median 6.78 years of follow-up. Gastric cancer risk was the highest in persistent obesity group (incidence rate (IR), 0.89/1,000 person-years; hazard ratio (HR), 1.197; 95% confidence interval (CI), 1.117-1.284), followed by non-persistent obesity group (IR, 0.83/1,000 person-years; HR, 1.113; 95% CI, 1.056-1.172) compared with never-obesity group. In subgroup analysis, this positive relationship was true among those <65 years old and male. Among heavy-drinkers, the impact of obesity-persistence on the gastric cancer risk far increased (non-persistent obesity: HR 1.297, 95% CI 1.094-1.538; persistent obesity: HR 1.351, 95% CI 1.076-1.698).

Conclusion

Obesity-persistence is associated with increased risk of gastric cancer in a dose-response manner, especially among male <65 years old. The risk raising effect was much stronger among heavy-drinkers.

Obesity as a risk factor for tooth loss over 5 years: A population-based cohort study

AIM

To assess obesity as a risk factor for tooth loss over 5 years in an urban sample of Brazilian adults.

MATERIALS AND METHODS

A total of 1586 individuals were surveyed using a multistage probabilistic approach. Five years later, 635 individuals 14-64 years old were re-examined. An incident case of tooth loss was determined for a participant that had lost at least one tooth over time. Obesity was evaluated by calculating body mass index at baseline and by the change in obesity status over time.

RESULTS

Incident cases of tooth loss were significantly more frequent among obese (47.1%) than normal-weight individuals (32.4%) (p = .004). Obese individuals had 31% higher risk [relative risk (RR) =1.31; 95% confidence interval (95%CI) 1.04-1.65] for tooth loss than normal-weight individuals adjusting for age, socio-economic status, smoking, dental care and periodontitis. This association was significant for females (RR=1.47, 95%CI 1.08-2.01), but not for males. The risk for tooth loss was also modified by presence of periodontitis at baseline and lifetime smoking exposure. There was an increased risk for tooth loss for those that remained obese than those that remained normal weight.

CONCLUSION

Obesity is associated with higher risk for tooth loss. This association was modified by sex, periodontal status and smoking.