Obesity and associated lifestyle in a large sample of multi-morbid German primary care attendees

Association between the transition to metabolically unhealthy obesity and lifestyle behavior: A nationwide cohort study

OBJECTIVES

To identify the characteristics of individuals transitioning from metabolically healthy obesity (MHO) to unhealthy obesity and the factors influencing the change.

DESIGN

This is a nationwide cohort study using data from the National Health Insurance Service in South Korea.

SAMPLE

Individuals with obesity but metabolically healthy in 2009 and 2010 and those still obese 4 years later were selected.

MEASUREMENTS

Sociodemographic, physical, metabolic, and health behavior variables were collected, and logistic regression was used to find an association with the transition.

RESULTS

We analyzed 1,564,467 individuals, observing significant differences in all variables and the transition from MHO to unhealthy obesity. Among males, the transition was associated with smoking and drinking positively and physical activity negatively. Among females, drinking demonstrated a negative correlation. Regardless of age, regular exercise was negatively associated with the transition for all individuals. Except for older adults, all age groups showed a positive correlation with smoking and drinking.

CONCLUSIONS

Considering the significant factors in the transition, it is essential to develop and implement interventions varied by gender and age to delay and prevent the change in metabolic status. The necessity of developing interventions enables individuals to engage in regular exercise, regardless of age and gender.

Prevalence of Cardiovascular Risk Factors in Middle-Aged Lithuanian Men Based on Body Mass Index and Waist Circumference Group Results from the 2006-2016 Lithuanian High Cardiovascular Risk Prevention Program

Background and aims: This study aimed to estimate the prevalence of cardiovascular risk factors in middle-aged Lithuanian men categorized according to body mass index and waist circumference results. Methods and results: The data were from the Lithuanian High Cardiovascular Risk primary prevention program between 2009 and 2016. This community-based cross-sectional study comprised 38,412 men aged 40 to 54 years old. We compared the prevalence of arterial hypertension, dyslipidaemia, diabetes mellitus, smoking, and metabolic syndrome in body mass index (BMI) and waist circumference (WC) groups. Regarding the allometric anthropometrics for WC, A Body Shape Indices (ABSIs) were analyzed with respect to mortality risk and smoking status. The most prevalent risk factor in men was dyslipidaemia, followed by arterial hypertension and smoking (86.96%, 47.94%, and 40.52%, respectively). All risk factors except for smoking were more prevalent in men with overweight or obesity as measured by BMI compared to men with normal weight. Similarly, smoking was the only cardiovascular risk factor that was more prevalent among subjects with normal WC compared to those with increased WC or abdominal obesity. Elevated ABSI, which is associated with higher mortality risk, was more prevalent in smokers. Conclusion: The most prevalent cardiovascular risk factor among middle-aged Lithuanian men was dyslipidaemia, with a surprisingly high prevalence in all BMI and WC groups. Smoking was the only risk factor most prevalent in subjects with low or normal weight according to BMI. It was also more prevalent in the normal WC group compared to the increased WC or abdominal obesity groups, but ABSI values associated with higher mortality were more prevalent among smokers than non-smokers.

Social Network and Participation in Elderly Primary Care Patients in Germany and Associations with Depressive Symptoms-A Cross-Sectional Analysis from the AgeWell.de Study

This study aims to describe social network and social participation and to assess associations with depressive symptoms in older persons with increased risk for dementia in Germany. We conducted a cross-sectional observational study in primary care patients (aged 60−77) as part of a multicenter cluster-randomized controlled trial (AgeWell.de). We present descriptive and multivariate analyses for social networks (Lubben Social Network Scale and subscales) and social participation (item list of social activities) and analyze associations of these variables with depressive symptoms (Geriatric Depression Scale). Of 1030 included patients, 17.2% were at risk for social isolation (Lubben Social Network Scale < 12). Looking at the subscales, a reduced non-family network was found almost twice as often as a reduced family network. Patients with depressive symptoms had significantly smaller social networks than patients without depression (p < 0.001). They rather engaged in social activities of low involvement level or no weekly social activity at all (p < 0.001). The study shows associations of depressive symptoms with a decreased social network and less social participation in elderly participants. Sufficient non-family contacts and weekly social activities seem to play an important role in mental health and should be encouraged in elderly primary care patients.

Cigarette smoking and nicotine exposure contributes for aberrant insulin signaling and cardiometabolic disorders

Cigarette smoking- and nicotine-mediated dysregulation in insulin-signaling pathways are becoming leading health issues associated with morbidity and mortality worldwide. Many cardiometabolic disorders particularly insulin resistance, polycystic ovary syndrome (PCOS), central obesity and cardiovascular diseases are initiated from exposure of exogenous substances which augment by disturbances in insulin signaling cascade. Among these exogenous substances, nicotine and cigarette smoking are potential triggers for impairment of insulin-signaling pathways. Further, this aberrant insulin signaling is associated with many metabolic complications, which consequently give rise to initiation as well as progression of these metabolic syndromes. Hence, understanding the underlying molecular mechanisms responsible for cigarette smoking- and nicotine-induced altered insulin signaling pathways and subsequent participation in several health hazards are quite essential for prophylaxis and combating these complications. In this article, we have focused on the role of nicotine and cigarette smoking mediated pathological signaling; for instance, nicotine-mediated inhibition of nuclear factor erythroid 2-related factor 2 and oxidative damage, elevated cortisol that may promote central obesity, association PCOS and oxidative stress via diminished nitric oxide which may lead to endothelial dysfunction and vascular inflammation. Pathological underlying molecular mechanisms involved in mediating these metabolic syndromes via alteration of insulin signaling cascade and possible molecular mechanism responsible for these consequences on nicotine exposure have also been discussed.

Prevalence of abdominal obesity and its association with cardiovascular risk among the adult population in Burkina Faso: findings from a nationwide cross-sectional study

OBJECTIVE

The objective of this study is to determine the prevalence of abdominal obesity, its predictors and its association with cardiovascular risk among adults in Burkina Faso.

DESIGN

We performed a secondary analysis of data from a national cross-sectional study, using WHO STEPwise approach.

SETTING

The study was conducted in Burkina Faso, in all the 13 regions of the country.

PARTICIPANTS

Our study involved 4308 adults of both sexes, aged between 25 and 64 years.

PRIMARY AND SECONDARY OUTCOMES

Our primary outcome was abdominal obesity, which was defined using a cut-off point of waist circumference (WC) of ≥94 cm for men and ≥80 cm for women. The secondary outcome was very high WC (≥102 cm for men and ≥88 cm for women) (for whom weight management is required).

RESULTS

The mean age of participants was 38.5±11.1 years. The age-standardised prevalence of abdominal obesity was 22.5% (95% CI 21.3% to 23.7%). This prevalence was 35.9% (95% CI 33.9% to 37.9%) among women and 5.2% (95% CI 4.3% to 6.2%) among men. In urban areas, the age-standardised prevalence of abdominal obesity was 42.8% (95% CI 39.9% to 45.7%) and 17.0% (95% CI 15.7% to 18.2%) in rural areas. The age-standardised prevalence of very high WC was 10.2% (95% CI 9.3% to 11.1%). The main predictors of abdominal obesity were being female, increased age, married status, high level of education and living in urban areas. Abdominal obesity was also significantly associated with high blood pressure (adjusted prevalence ratio (aPR): 1.30; 95% CI 1.14 to 1.47) and hypercholesterolaemia (aPR: 1.52; 95% CI 1.18 to 1.94). According to the combination matrix between body mass index and WC, 14.6% of the adult population in Burkina Faso had an increased cardiometabolic risk.

CONCLUSION

Our study showed a high prevalence of abdominal obesity and a high proportion of adults who require weight management strategies to prevent cardiometabolic complications. Strategies to reduce the burden of abdominal obesity and very high WC should be considered by Burkina Faso's policy-makers.

Association between alcohol intake and overweight and obesity: a systematic review and dose-response meta-analysis of 127 observational studies

Several studies have assessed the relationship between alcohol intake and overweight/obesity; however, the reported results are inconsistent. Therefore, the present systematic review and dose-response meta-analysis of observational studies was designed to investigate the association between alcohol intake and general and abdominal obesity among the adults. Literature search was conducted in the PubMed/Medline and Web of Science databases up to August 2020. Odds ratio (OR), risk ratio (RR), or hazard ratio (HR) with 95% confidence interval (95% CI) were used to pool effect size. To conduct dose-response meta-analysis, amount of alcohol intake was classified into three categories including light (<14 g/d), moderate (14-28 g/d), and heavy (>28 g/d). In the present study, 127 eligible studies were included. In cohort studies, there was no significant association between alcohol drinking and risk of overweight (OR: 0.93, 95% CI: 0.46 to 1.89), obesity (OR: 0.84, 95% CI: 0.52 to 1.37), overweight/obesity (OR: 1.15, 95% CI: 0.84 to 1.58), and abdominal obesity (OR: 1.13, 95% CI: 0.90 to 1.41). In cross-sectional studies, alcohol intake was associated with the increased odds of overweight (OR: 1.11, 95% CI: 1.05 to 1.18), overweight/obesity (OR: 1.23, 95% CI: 1.11 to 1.37), and abdominal obesity (OR: 1.19, 95% CI: 1.09 to 1.29); but not obesity (OR: 1.03, 95% CI: 0.95 to 1.12). Results of dose-response analysis indicated that heavy alcohol drinking was positively associated with odds of overweight (OR: 1.12, 95% CI: 1.01 to 1.24), overweight/obesity (OR: 1.32, 95% CI: 1.16 to 1.51), and abdominal obesity (OR: 1.25, 95% CI: 1.12 to 1.38) compared to non- or light alcohol drinking. There was no publication bias among studied on outcomes of interest. In conclusion, our results revealed alcohol drinkers, especially heavy alcohol drinkers, had increased odds of overweight, overweight/obesity, and abdominal obesity than non-alcohol drinker or light alcohol drinkers among cross-sectional studies but not cohort studies.

Association of smoking status and smoking intensity with general and abdominal obesity in a sample of middle-aged men

Aim. To assess the association of smoking status and smoking intensity with general and abdominal obesity in a sample of middle-a ged men.

Material and methods. This study was conducted as a part of the 32-year prospective cohort observation of males from childhood (11-12 years of age). The study included 301 (30,0%) representatives of the initial population sample aged 41-44 years. Age, anthropometric parameters, relationship of smoking status and smoking intensity with general (overweight/obesity) and abdominal obesity were analyzed.

Results. Overweight/obesity were more common in former smokers (78,1%) compared with non-smokers (58,7%; p<0,01). Abdominal obesity, estimated by the waist circumference (WC), was detected more often among former (57,5%) and current smokers (50,7%), and abdominal obesity, estimated by the waist-to-hip ratio, was more common among current smokers, compared with non-smokers (37,0%; p<0,01, p<0,05 and p<0,05 respectively). A direct linear relationship was found between the intensity of current smoking and indicators of abdominal obesity in terms of waist-to-hip ratio (P for trend=0,004) and a direct linear relationship between intensity of former smoking and general obesity estimated by BMI (P for trend = 0,001), and abdominal obesity estimated by waist-tohip ratio (P for trend=0,004). The probability of developing abdominal obesity in current smokers with WC≥94,0 cm and with waist-to-hip ratio ≥0,9 was 1,8 and 2 times higher, respectively, than in non-smokers, but lower compared to former smokers. The risk of overweight/obesity and abdominal obesity in former smokers was 2,5 and 2,3 times higher, respectively, than in non-smokers. The 10-year risk of fatal CVD in nonsmokers and former smokers was lower than in current smokers (0,8% and 0,9% vs 1,8%; p<0,001 and p<0,001, respectively).

Conclusion. High intensity of smoking among current smokers is associated with a higher probability of developing abdominal obesity, and in former smokers — with a higher probability of developing general and abdominal obesity. Former smokers, compared to current smokers, are at a lower risk of developing fatal cardiovascular diseases. Smoking cessation activities should be aimed at minimizing weight gain after quitting smoking and developing tobacco control programs.

Prevalence and Associated Lifestyle Factors of Suboptimal Health Status among Chinese Children Using a Multi-Level Model

Chinese children are facing health challenges brought by chronic non-communicable diseases, such as physical problems and psychological related health problems. Childhood represents a critical life period when the long-term dietary and lifestyle behaviors are formed. It is necessary to survey the prevalence of suboptimal health status (SHS) among Chinese children and to research the relationship between SHS and lifestyles. This study aimed to examine the prevalence of SHS among Chinese children using a large-scale population survey sample covering school students and nonstudent children, and clarified the relationships between SHS and lifestyle factors using multi-level models controlled for the cluster effect of location and the confounding effect of demographics. Multi-level generalized estimating equation models were used to examine the relationships between SHS and lifestyle factors. Prevalence ratios (PR) and 95% confidence intervals (CI) were used to assess the strength of these relationships. Of the 29,560 children, 14,393 reported one or more SHS symptoms, giving a SHS prevalence of 48.69%. The prevalence of SHS for boys (46.07%) was lower than that for girls (51.05%). After controlling for the cluster effect of living areas and confounding effect of demographic characteristics, lifestyle factors associated with SHS were: less sleep duration, current smokers (PR = 1.085, 95%CI: 1.027–1.147), current drinkers (PR = 1.072, 95%CI: 1.016–1.131), children’ parents suffering from chronic diseases (PR = 1.294, 95%CI: 1.179–1.421), poor sleep quality (PR = 1.470, 95%CI: 1.394–1.550), stress (PR = 1.545, 95%CI: 1.398–1.707), negative life events (PR = 1.237, 95%CI: 1.088–1.406), hypertension (PR = 1.046, 95%CI: 1.009–1.084), unhealthy diet choice (PR = 1.091, 95%CI: 1.051–1.133) and irregular meal time (PR = 1.210, 95%CI: 1.163–1.259). Children who could exercise regularly (PR = 0.897, 95%CI: 0.868–0.927) and those with regular medical checkup (PR = 0.891, 95%CI: 0.854–0.929) were associated with lower prevalence probability of SHS. SHS has become a serious public health challenge for Chinese children. Unhealthy lifestyles were closely associated with SHS. Implementation of preventative strategies are needed to reduce the potential SHS burden associated with these widespread high-risk unhealthy lifestyle behaviors.

Prevalence of Suboptimal Health Status and the Relationships between Suboptimal Health Status and Lifestyle Factors among Chinese Adults Using a Multi-Level Generalized Estimating Equation Model

This study examined the prevalence of suboptimal health among Chinese adults based on a large-scale national survey and clarified the relationship between suboptimal health and lifestyle factors. We used multi-level generalized estimating equation models to examine the relationships between suboptimal health and lifestyle factors. Of the 48,978 respondents, 34,021 reported one or more suboptimal health symptoms, giving a suboptimal health status prevalence of 69.46%. After controlling for the cluster effect of living areas and confounding effect of demographic characteristics, factors associated with suboptimal health were: current smoking (odds ratio (OR) = 1.083, 95% confidence interval (CI): 1.055-1.111), drinking alcohol (OR = 1.075, 95% CI: 1.025-1.127), family history of disease (OR = 1.203, 95% CI: 1.055-1.111), sleeping <6 h per day (OR = 1.235, 95% CI: 1.152-1.256), poor sleep quality (OR = 1.594, 95% CI: 1.515-1.676), stress (OR = 1.588, 95% CI: 1.496-1.686), negative life events (OR = 1.114, 95% CI: 1.045-1.187), unhealthy diet choices (OR = 1.093, 95% CI: 1.033-1.156), and not regularly having meals at fixed hours (OR = 1.231, 95% CI: 1.105-1.372). Respondents who exercised regularly had lower odds of having suboptimal health status (OR = 0.913, 95% CI: 0.849-0.983). Suboptimal health has become a serious public health challenge in China. The health status of the population could be effectively improved by improving lifestyle behaviors.

The Prevalence of Smoking in 41-43-Year-Old Males and its Relation to Some Risk Factors

Aim. To evaluate the prevalence of smoking in 41-43-year-old men living in Moscow and its association with other chronic non-communicable diseases risk factors.Material and methods. People of male sex were prospectively followed up during 32 years since childhood (11-12 years). Only 301 (30%) representatives of 1005 initially enrolled people were examined after 32 years. The examination included: survey by a standard questionnaire (the passport data, the level of physical activity, bad habits – smoking, alcohol consumption); three-time blood pressure measurement; assessment of heart rate; measurement of weight and height, thickness of skin folds (over the triceps, under the scapula and on the abdomen); waist circumference.Results. Almost 50% of 41-44-year-old males smoked every day; less than a third of the study participants had never smoked. Every fifth of the smokers smoked less than 10 cigarettes per day while more than a half of them – a pack and more. The vast majority of the past smokers (85.2%) had stopped smoking at their own will and only very few (1.2%) by doctor’s advice. The intensity of smoking according to the pack/year index was >10 in almost 81.9% of the current smokers. The past smokers had abdominal obesity significantly more often than the non-smokers and the current smokers (57.5% vs 37% and 50.7%, respectively). The current smokers revealed the significantly higher risk of hypertension. The past smokers had 2.5 times higher risk of general obesity and 2.3 times higher one – of abdominal obesity as compared to the non-smokers. The intensity of smoking at the present time correlated with heart rate (HR). The past smokers (who smoked ≥20 cigarettes/day) as compared to the non-smokers had significantly higher HR, the Quetelet index, thickness of skin fold over the triceps and on the abdomen. The currents smokers revealed correlation of the status of smoking with HR, while the past smokers – with such parameters as the Quetelet index, waist circumference, thickness of skin fold under the scapula and over the triceps and no correlation with HR. The current smokers had significantly higher the 10-year risk of death as compared to thepast smokers and the non-smokers. Conclusion. Smoking is one of the most important risk factors of development of chronic non-communicable diseases. The struggle against smoking must be promoted, while close attention should be paid to people who had stopped smoking as a group of risk of cardiovascular disease onset. 

The prevalence of underweight, overweight and obesity and their related socio-demographic and lifestyle factors among adult women in Myanmar, 2015-16

BACKGROUND

The aim of the study was to estimate the prevalence of underweight and overweight or obesity and their socio-demographic and lifestyle factors in a female adult population in Myanmar.

MATERIAL AND METHODS

In a national cross-sectional population-based survey in the 2015-16 Myanmar Demographic and Health Survey, 12,160 women aged 18-49 years and not currently pregnant completed questionnaires and anthropometric measurements. Nutritional status was determined using Asian body mass index cut-offs: underweight (BMI<18.5 kg/m2), overweight (23.0-27.4 kg/m2), and obesity (≥27.5 kg/m2). Multinomial logistic regression modelling was used to determine the association between socio-demographic and lifestyle factors and weight status.

RESULTS

The prevalence of underweight was 14.1%, overweight 28.1% and obesity 13.1%. Among different age groups, the prevalence of underweight was the highest among 18 to 29 year-olds (20.2%), while overweight or obesity was the highest in the age group 30 to 49 years (around 50%). In multinomial logistic regression, being 30 to 49 years old, poorer and richer wealth status, living in all the other regions of Myanmar and ever contraceptive use were inversely and current tobacco use, not working and having less than two children ever born were positively associated with underweight relative to normal weight. Older age, having secondary education, urban residence, wealthier economic status, living with a partner, living in the Northern and Southern regions of Myanmar, having less than two children ever born and having ever used contraceptives were positively and current tobacco use was negatively associated with overweight or obesity relative to normal weight.

CONCLUSIONS

A dual burden of both underweight and overweight or obesity among female adults was found in Myanmar. Sociodemographic and health risk behaviour factors were identified for underweight and overweight or obesity that can guide public health interventions to address both of these conditions.

The Role of Healthy Lifestyle in the Implementation of Regressing Suboptimal Health Status among College Students in China: A Nested Case-Control Study

BACKGROUND

Suboptimal health status (SHS) is the intermediate health state between health and disease, it is medically undiagnosed and is also termed functional somatic syndrome. Although its clinical manifestations are complicated and various, SHS has not reached the disease status. Unhealthy lifestyle is associated with many chronic diseases and mortality. In accordance with the impact of lifestyle on health, it is intriguing to determine the association between unhealthy lifestyle and SHS risk.

METHODS

We conducted a nested case-control study among healthy Chinese college students from March 2012 to September 2013, which was nested in a prospective cohort of 5676 students. We performed 1:1 incidence density sampling with matched controls for birth year, sex, grade, specialty and individual character. SHS was evaluated using the medical examination report and Sub-health Measurement Scale V1.0 (SHMS V1.0). Exposure was defined as an unhealthy lifestyle per the frequency of six behavioral dimensions from the Health-promoting Lifestyle Profile (HPLP-II).

RESULTS

We matched 543 cases of SHS (42.66%) in a cohort of 1273 students during the 1.5 years mean follow-up time with controls. A significant difference (t = 9.79, p < 0.001) and a reduction in HPLP-II total score was present at 1.5 years follow-up (135.93 ± 17.65) compared to baseline (144.48 ± 18.66). A level-response effect was recorded with an increase of the total HPLP-II (every dimension was correlated with a decreased SHS risk). Compared to respondents with the least exposure (excellent level), those reporting a general HPLP-II level were approximately 2.3 times more likely to develop SHS (odd ratio = 2.333, 95% CI = 1.471 to 3.700); and those with less HPLP-II level (good level) were approximately 1.6 times more likely (1.644, 1.119-2.414) to develop SHS (p < 0.05). Our data indicated that unhealthy lifestyle behavior with respect to behavioral dimensions significantly affected SHS likelihood. Further analyses revealed a marked increase (average increased 14.73 points) in lifestyle level among those SHS regression to health after 1.5 years, with respect to the HPLP-II behavioral dimensions, in addition to the total score (t = -15.34, p < 0.001).

CONCLUSIONS

SHS is highly attributable to unhealthy lifestyles, and the Int. J. Environ. Res. Public Health 2017, 14, 240 2 of 17 mitigation of modifiable lifestyle risk factors may lead to SHS regression. Increased efforts to modify unhealthy lifestyles are necessary to prevent SHS.

Frequency of TV viewing and prevalence of overweight and obesity among adult women in Bangladesh: a cross-sectional study

BACKGROUND

Research in developed countries has demonstrated an association of varying degrees between watching TV and the risk of being overweight and obese. However, there is no evidence of such an association in the context of the South Asian population.

OBJECTIVE

To investigate whether watching TV increases the risk of being overweight and obese among women in Bangladesh.

SETTING

Rural and urban areas in Bangladesh.

PARTICIPANTS

Participants were 16 624 non-pregnant women aged between 15 and 49 years.

METHODS

The study was based on cross-sectional data from the Bangladesh Demographic and Health Survey (BDHS) conducted in 2014. The main outcome variables were overweight and obesity measured by body mass index. Data were analysed by using descriptive statistics, cross-tabulation and multivariable logistic regression models.

RESULTS

The prevalence of overweight and obesity in the sample population were, respectively, 4.5% (4.18% to 4.82%) and 20% (95% CI 19.39% to 20.61%). In the multivariable analysis, no statistically significant association was found between watching TV and being overweight. However, the odds of being obese among rural women were 63% higher (adjusted OR (AOR) 1.625, 95% CI 1.179 to 2.241) among those who watched less than once a week, and 68% (AOR 1.683, 95% CI 1.029 to 2.751) higher among women who watched TV at least once a week compared to those who did not watch TV at all. Urban women who watched TV at least once a week were 67% more likely to be obese (AOR 1.665, 95% CI 1.079 to 2.568) compared to those who did not watch at all.

CONCLUSIONS

Prevalence of overweight and obesity has risen considerably among women aged between 15 and 49 years since the previous estimates based on BDHS data. Frequent TV watching was associated with a higher risk of being obese among adult women in rural areas.

Smoking status and abdominal obesity among normal- and overweight/obese adults: Population-based FINRISK study

Several studies have reported direct associations of smoking with body mass index (BMI) and abdominal obesity. However, the interplay between them is poorly understood. Our first aim was to investigate the interaction between smoking status and BMI on abdominal obesity (waist circumference, WC). Our second aim was to examine how the association of smoking status with WC varies among normal and overweight/obese men and women. We examined 5833 participants from the National FINRISK 2007 Study. The interactions between smoking and BMI on WC were analyzed. Participants were categorized into eight groups according to BMI (normal weight vs. overweight/obese) and smoking status (never smoker, ex-smoker, occasional/light/moderate daily smoker, heavy daily smoker). The associations between each BMI/smoking status -group and WC were analyzed by multiple regressions, the normal-weight never smokers as the reference group. The smoking status by BMI-interaction on WC was significant for women, but not for men. Among the overweight/obese women, ex-smokers (β = 2.73; 1.99, 3.46) and heavy daily smokers (β = 4.90; 3.35, 6.44) had the highest estimates for WC when adjusted for age, BMI, alcohol consumption and physical activity. In comparison to never smoking overweight/obese women, the β-coefficients of ex-smokers and heavy daily smokers were significantly higher. Among men and normal weight women the β -coefficients did not significantly differ by smoking status. An interaction between smoking status and BMI on abdominal obesity was observed in women: overweight/obese heavy daily smokers were particularly vulnerable for abdominal obesity. This risk group should be targeted for cardiovascular disease prevention.