Effects of cigarette smoking on blood lipids in Korean men: Cardiovascular and Metabolic Diseases Etiology Research Center cohort

Soo Kyoung Kim; Hyeon Chang Kim; Jee-Seon Shim; Dae Jung Kim

doi:10.3904/kjim.2019.133

Korean J Intern Med > Volume 35(2); 2020 > Article

Kim, Kim, Shim, and Kim: Effects of cigarette smoking on blood lipids in Korean men: Cardiovascular and Metabolic Diseases Etiology Research Center cohort

Original Article

Korean J Intern Med 2020;35(2):369-382.

Published online: December 18, 2019

DOI: https://doi.org/10.3904/kjim.2019.133

Effects of cigarette smoking on blood lipids in Korean men: Cardiovascular and Metabolic Diseases Etiology Research Center cohort

Soo Kyoung Kim¹, Hyeon Chang Kim^1,^2,³

, Jee-Seon Shim^2,³, Dae Jung Kim^4,⁵

¹Department of Public Health, Yonsei University Graduate School, Seoul, Korea

²Department of Preventive Medicine, Yonsei University College of Medicine, Seoul, Korea

³Cardiovascular and Metabolic Diseases Etiology Research Center, Yonsei University College of Medicine, Seoul, Korea

⁴Department of Endocrinology and Metabolism, Ajou University School of Medicine, Suwon, Korea

⁵Cardiovascular and Metabolic Diseases Etiology Research Center, Ajou University School of Medicine, Suwon, Korea

Correspondence to Hyeon Chang Kim, M.D. Department of Preventive Medicine, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul 03722, Korea Tel: +82-2-2228-1873 Fax: +82-2-392-8133 E-mail: hckim@yuhs.ac

Received April 19, 2019 Revised July 16, 2019 Accepted August 27, 2019

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted noncommercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Background/Aims

Cigarette smoking and abnormal blood lipids are major risk factors for cardiovascular disease. The results of previous studies on the relationship between cigarette smoking and dyslipidemia are controversial. In the present study, we investigated the independent association between cigarette smoking and blood lipid levels in a male Korean population.

Methods

A total of 1,932 men aged from 30 to 64 years old participated in the Cardiovascular and Metabolic Diseases Etiology Research Center cohort study. Smoking history was obtained by in-person interviews. In all regression models, measurements of triglyceride levels were log-transformed.

Results

Triglyceride levels were higher in current smokers than in never-smokers (median: 149 mg/dL vs. 115 mg/dL, p < 0.001) even after adjusting age, body mass index, alcohol intake, systolic blood pressure, fasting glucose, physical activity, and nutrition intake (β = 0.14, p < 0.001). We further divided people into heavy and light smokers using 20 pack-years as the cut-off. Higher triglyceride were found in current heavy smokers (β = 0.18, p < 0.001), current light smokers (β = 0.13, p < 0.001), as well as in past heavy smokers (β = 0.08, p = 0.037), as compared to never-smokers. Moreover, significantly lower high-density lipoprotein cholesterol (HDL-C) were observed in current heavy smokers (β = –2.27 mg/dL, p = 0.009).

Conclusions

Cigarette smoking is associated with higher triglyceride in Korean men, with the most dramatic effect seen in current smokers with a smoking history of more than 20 pack-years. HDL-C were also lower in current smokers with more than 20 pack-years.

Keywords: Cigarette smoking; Dyslipidemia; Triglyceride; Lipoproteins

INTRODUCTION

Dyslipidemia is represented by high blood levels of total cholesterol (TC ≥ 240 mg/dL), low-density lipoprotein cholesterol (LDL-C ≥ 160 mg/dL), and triglyceride (TG ≥ 200 mg/dL) and a low level of high-density lipoprotein cholesterol (HDL-C < 40 mg/dL) [1]. The serum lipid components are associated with cardiovascular disease (CVD) risk both independently and in combination [2-4]. Cigarette smoking is also a well-known major risk factor for atherosclerotic change and CVD [2,5,6]. The results of previous studies suggest that cigarette smoking can produce oxygen-derived free radicals that damage blood lipids. These damaged lipids may promote atherogenesis and lead to atherosclerosis [7]. However, the results vary in different studies, and the effect of smoking on lipid levels is not well defined [8-10].

The prevalence of dyslipidemia among Korean population has been increasing for last 5 years. Nearly four out of 10 (40.5 %) adults aged over 30 years old are reported to have dyslipidemia, and the degree is much higher in men; overall, nearly half (47.9 %) of Korean men aged over 30 years old are reported have dyslipidemia [11]. According to Organization for Economic Cooperation and Development Health Statistics 2017, the daily smoking rate among Korean men is 31%, which is still higher compared to that of average, 23% [12]. The present study aims to examine the independent relationship between cigarette smoking and blood lipid levels within a male Korean population.

METHODS

Study population

Participants from the Cardiovascular and Metabolic Diseases Etiology Research Center (CMERC) cohort provided the sample population for this study [13]. The participants were aged between 30 and 64 years old and were free from cancer, myocardial infarction, cerebral stroke, and heart failure. Health examination of the participants was conducted between 2013 and 2018 at medical centers in Seoul and Suwon. The study inclusion flow chart is shown in Fig. 1. Of the total of 8,097 CMERC participants, 2,808 were men. Women were excluded from the analysis because the smoking rate among women was too low to reveal the association between smoking and serum lipid levels (2.88 % were current smokers and 3.20 % were past smokers). Of the men, 580 reported that they were taking drugs for the treatment of hyperlipidemia, statin for the management of lipid levels, or omega-3 fatty acids supplementations. These patients were excluded from the sample. A further 77 past smokers were excluded because their smoking cessation periods were less than 1 year. Finally, 219 men were excluded because they had missing values for potential confounding variables. After these exclusions, a total of 1,932 men were included in our study population (Fig. 1).

Measurements

Trained interviewers obtained socio-demographic information, medical, and lifestyle history in in-person interviews. Never-smokers were defined as people who reported they had smoked no more than 100 cigarettes in their lifetime. Past smokers were defined as people who reported having smoked ≥ 100 cigarettes, but did not smoke at the time of the present investigation. However, as mentioned above, past smokers with less than 1 year of smoking cessation period were excluded from the analysis. This was done because, as demonstrated by previous studies, it is at least after a year after smoking cessation that the characteristics such as the risk of CVD incidence [14] or the likelihood of relapse [15] of past smokers become distinctively different from those of current smokers. Therefore, we assumed ‘past smokers’ to be individuals whose smoking cessation period had started more than a year ago. Current smokers were defined as those who had smoked ≥ 100 cigarettes and who smoked at the time of our investigation. Pack-years were calculated for each participant by multiplying packs smoked per day by years as a smoker. For example, 1 pack-year means that the participant smoked one pack of cigarettes every day for a year. While there is no general consensus on the definition of heavy smoking, we used pack-year of 20 as the cut-off in the present study. The same criterion was used in previous studies on the relationship between smoking and the risk of cancer or CVD [16-18]; in addition, in a previous study, the standard of 20 pack-year was deemed to be an appropriate measure to define heavy smoking in terms of nicotine dependency or difficulty in smoking cessation [19].

The participants were also asked “Are you currently drinking alcohol?” If they said “No,” they were considered as non-drinkers. Others were considered as current drinkers. Among current drinkers, people who said they drank more than twice a week and also drank more than 7 units of alcohol at once were considered to be high-risk drinkers.

Information about dietary intake was obtained by using a semi-quantitative food frequency questionnaire developed for the Korea National Health and Nutrition Examination Survey [20]. Daily total energy intake (kcal), carbohydrate intake (g), and fat intake (g) were calculated. The participants were asked about the average consumption frequency and the amounts of 112 types of food consumed throughout the preceding year. Physical activity was measured by the Korean version of the International Physical Activity Questionnaire (IPAQ)-Short Form. The participants were divided into three groups according to IPAQ guidelines: low, moderate, and high [21,22].

The participants were asked to fast for a minimum of 8 hours before visiting health examination center. Then, the participants’ blood samples were collected, and laboratory tests were performed in a central laboratory (Seoul Clinical Laboratories R&D Center, Seoul, Korea). Serum fasting glucose was measured using a colorimetric method and an autoanalyzer (ADVIA 1800 Auto Analyzer, Siemens Medical Solutions, Malvern, PA, USA). Serum TC, HDL-C, and TG were measured using automated enzymatic techniques. LDL-C was calculated using Friedewald’s equation [23].

Body weight and height were measured using standardized techniques and equipment. The participants were asked to wear light indoor clothing without shoes for weight and height measurements. Body mass index (BMI) was calculated as weight divided by height squared (kg/m²). Blood pressure was measured three times after a 5-minute rest in the sitting position via the right arm using an electronic manometer (HEM-7080IC, Omron Healthcare Co. Ltd., Kyoto, Japan). The average of the three values was used for further analysis.

Ethics statement

All participants provided written informed consent, and the study protocol was approved by the Institutional Review Boards of Severance Hospital, Yonsei University Health System, Seoul, Korea (4-2013-0661) and Ajou University Hospital, Suwon, Korea (AJIRB-BMRSUR-13-272).

Statistical analyses

Basic characteristics of the study population are presented as means with standard deviation, medians with interquartile range, or numbers with percentage. T-test and chi-square test were used to identify significant relationships between basic characteristics and smoking status. Multiple linear regression analysis was used to examine the association between cigarette smoking and each serum lipid level. In all regression analyses, the never-smoker group was used as the reference group. Due to their right-skewed distributions, serum glucose and TG levels were log-transformed to satisfy the normality assumption for statistical analysis. For HDL-C and TG levels, the least squares means, estimated from linear regression models, were derived for convenience of interpretation. Least squares mean for one variable is the adjusted mean value that controls the effect of the major covariates [24]; therefore, we considered it suitable for comparing the mean lipid levels of each smoker group after controlling the influence of the covariates. Age, BMI, alcohol intake, systolic blood pressure, fasting serum glucose, physical activity, and dietary (total energy, carbohydrates, and fat) intake were adjusted as potential covariates in the regression analyses and least squares means analyses. To determine whether individuals with a higher smoking amount, as measured by pack-years, have higher blood lipid levels than those without such amount, we conducted linear trend tests and multiple comparisons using Tukey’s method. All statistical analyses were performed using SAS version 9.4 (SAS Institute, Cary, NC, USA) and p < 0.05 was considered to be statistically significant.

RESULTS

General characteristics

Table 1 shows the general characteristics of the study population. The mean age was 49.5. Past smokers and current smokers amounted to 40.3% (n = 779) and 36.5% (n = 705) of the total (n = 1,932), respectively. Independent t test and chi-square test were performed to establish whether the general characteristics of past smokers and current smokers differed from those of never-smokers. The results showed that, as compared to never-smokers, past smokers were older, while current smokers were younger, and these differences in age were statistically significant (p < 0.001 and p = 0.002, respectively). Systolic and diastolic blood pressure, as well as fasting glucose levels, were significantly higher in past smokers than in never-smokers. Furthermore, current smokers had significantly higher measurements of weight and height, and a higher fasting glucose level than the never-smoker group. For alcohol drinking, current smokers drank more than never-smokers. The proportion of high-risk drinkers was the highest in the current smoker group (48.2%), which is nearly half, followed by past smoker group (29.9%) and never-smoker group (19.4%). In addition, current smokers were less physically active and consumed more calories, carbohydrate, protein, and fat than never-smokers. For blood lipid levels, the TG levels of current and past smokers were significantly much higher as compared to that of never-smokers (34 mg/dL higher, p < 0.001 and 15 mg/dL higher, p = 0.027, current smokers and past smokers, respectively). For other lipid components, there was no significant difference between each smoker group.

Smoking status and lipid profile

Associations between blood lipid levels and several variables, including smoking status, were determined using multiple linear regression analysis (Table 2). BMI was significantly strongly associated with altered levels of all serum lipids that were measured. Individuals with higher BMI had higher levels of TC, LDL-C, and log-TG, but lower HDL-C levels. Alcohol drinking was positively associated with HDL-C levels, but negatively with LDL-C levels. Systolic blood pressure was positively associated with TC, LDL-C, and log-TG levels. Serum glucose levels were negatively associated with LDL-C levels, but positively associated with log-TG levels. The participants who were more physically active tended to have higher HDL-C and lower log-TG levels as compared to their less active counterparts. Total energy intake was significantly positively associated with HDL-C and log-TG, whereas the association with LDL-C was significantly negative. Carbohydrate intake was significantly associated with lower HDL-C and log-TG levels, while fat intake was significantly associated with higher LDL-C, but lower log-TG.

With regard to the reference group, lipid measurements of past smokers were not significantly different (TC was 1.85 mg/dL higher, p = 0.360; HDL-C was 0.30 mg/dL higher, p = 0.658; LDL-C was 0.22 mg/dL higher, p = 0.907; and log-TG was 0.05 higher, p = 0.083). In current smokers, HDL-C was significantly lower (1.82 mg/dL lower, p = 0.010), while log-TG was significantly higher (0.14 higher, p < 0.001) than in never-smokers. For TC (2.59 mg/dL higher, p = 0.215) and LDL-C (0.07 mg/dL lower, p = 0.930), no significant difference between current smokers and never-smokers was observed. In addition, the independent association between the non-logtransformed TG value and smoking status was found to be consistent with the results of the analysis with log-TG (data not shown in table). In past smokers, TG was not significantly different from that of never-smokers (6.62 mg/dL higher, standardized β = 0.03, p = 0.277). Current smokers had significantly higher TG than never-smokers (22.88 mg/dL higher, standardized β = 0.10, p < 0.001).

Using the method of least squares (adjusted for the same covariates as the preceding analysis), the mean TG level of current smokers was 169.79 mg/dL, which was significantly higher than that of never-smokers (22.88 mg/dL higher than never-smokers, p < 0.001) and past smokers (16.26 mg/dL higher than past smokers, p = 0.004). No significant difference in adjusted means of TG level between never-smokers and past smokers was found; an adjusted mean of TG level of past smokers was 153.53 mg/dL and it was 6.62 mg/dL higher than that of never-smokers, p = 0.277. The adjusted mean HDL level of current smokers was 48.94 mg/dL, which was significantly lower than that of never-smokers (2.56 mg/dL lower, p = 0.010) and past smokers (3.39 mg/dL lower, p = 0.001). Similarly to TG level, there was no significant difference in HDL-C level between never-smokers and past smokers; HDL-C level of past smokers (51.07 mg/dL) which was 0.30 mg/dL higher than that of never-smokers (50.77 mg/dL, p = 0.658).

For further analysis, we subdivided each smoker group based on the amount of smoking using 20 pack-years as the cut-off between light and heavy smokers. The participants were divided into the following five groups: (1) never-smokers, (2) past light smokers, (3) past heavy smokers, (4) current light smokers, and (5) current heavy smokers. Table 3 shows the results from multiple linear regression analysis, using the never-smokers as the reference group. Past smokers with fewer than 20 pack-years showed no significant difference in blood lipid levels. However, past smokers with more than 20 pack-years had a higher log-TG level as compared to that of never-smokers (log-TG was 0.08 higher, p = 0.037). For current smokers, current light smokers (log-TG was 0.13 higher, p < 0.001) and current heavy smokers (log-TG was 0.18 higher, p < 0.001) had significantly higher log-TG levels than never-smokers. We observed a higher log-TG level in current heavy smokers, with more than 20 pack-years, than in current light smokers, with fewer than 20 pack-years. The independent association between the non-log-transformed TG value and smoking status with the amount of smoking was additionally evaluated (data not shown in table). Past light smokers and past heavy smokers were not significantly different in terms of their TG level compared to never-smokers (5.75 mg/dL higher, p = 0.378 in past light smokers and 10.59 mg/dL higher, p = 0.192). At the same time, current light smokers had a significantly higher TG level than never-smokers (15.90 mg/dL higher, p = 0.027), and current heavy smokers had a much higher TG level than never-smokers (31.99 mg/dL higher, p < 0.001).

Current heavy smokers also had significantly lower HDL-C levels as compared to those of never-smokers (2.27 mg/dL lower, p = 0.009); however, HDL-C level of current light smokers was not significantly different from that of never-smokers (1.46 mg/dL lower than never smokers, p = 0.072).

The least squares means were also calculated for TG levels in each of the five smoker groups that were adjusted for potential variables as described above. The results for this analysis are presented in Table 4. Current heavy smokers had the highest adjusted mean TG levels (least squares means = 178.57 mg/dL), and this value was significantly higher than that of current light smokers (mean difference = 16.09 mg/dL, p = 0.041), past heavy smokers (mean difference = 21.40 mg/dL, p = 0.013), past light smokers (mean difference = 26.24 mg/dL, p < 0.001, and never-smokers (mean difference = 31.99 mg/dL, p < 0.001). Furthermore, current light smokers had a significantly higher adjusted mean TG levels compared to never-smokers (mean difference = 15.90 mg/dL, p = 0.027); however, when compared to past smoker groups, the difference did not reach statistical significance. Beyond the significantly higher TG levels in current smokers, there was no significant difference between the adjusted means of the past smoker groups and never-smoker group.

Blood lipid levels for each smoker group according to smoking amounts

We evaluated whether people with a higher smoking amount have higher serum lipid levels. Due to difficulties in interpretation, past smokers were excluded from this analysis. We first performed linear trend analysis, again dividing current smokers into light and heavy smokers using 20 pack-years as the cut-off. Of the four serum lipids measured, the crude means of HDL-C and TG showed a significant linear trend (p for trend = 0.037 for HDL-C and p for trend < 0.001 for TG). With an increase of the amount of smoking, HDL-C level decreased, while TG level increased. Fig. 2 shows the detailed information on the means of lipid levels of each smoker group.

Next, we performed multiple comparison analysis of the crude means of TG level using Tukey’s method and a studentized range of 19.11 (data not shown in table). The results showed a significantly higher TG level in Table 3. Serum lipid levels by current smoking status and smoked pack-years Smoking status light smokers (mean difference of 31.37 mg/dL, p < 0.001) and heavy smokers (mean difference of 43.99 mg/dL, p < 0.001), as compared to never-smokers. However, we found no significant difference between the TG levels of light and heavy smokers (mean difference of 12.62 mg/dL, p = 0.307). We also conducted multiple comparisons for the (crude) means of HDL-C (data not shown in table). Although HDL-C was low in proportion to the amount of smoked cigarettes, the differences in HDL-C level were not statistically significant (studentized range was 2.08; mean difference between never-smoker and light smoker = 0.85 mg/dL, p = 0.562; mean difference between never-smoker and heavy smoker = 1.88 mg/dL, p = 0.090; mean difference between light smoker and heavy smoker = 1.03 mg/dL, p = 0.500). We also evaluated the changes of TG and HDL-C levels with an increase of smoked pack-year among current smokers (Fig. 3).

DISCUSSION

In the present study of apparently healthy Korean men, cigarette smoking was found to be associated with higher serum TG levels, and current smokers who had smoked more than 20 pack-years had much higher TG levels than individuals who had not. When we further divided smokers into light and heavy smoking groups using 20 pack-years as the cut-off, both current light and heavy smokers were found to have higher TG levels as compared to that of never-smokers, with a greater difference between current heavy smokers and never-smokers. Similarly, in other analyses, TG level was remarkably higher in current heavy smokers as compared to corresponding levels in other groups. Past heavy smokers were found to have a higher TG level in some analyses, as compared to never-smokers. For other lipid components, a lower HDL level was associated with current heavy smoking. Except for current heavy smokers, there was no significant difference in HDL-C level among other smoker groups. Meanwhile, for current smokers, a higher smoking amount was much worse than a lower amount. Our finding that male smokers had higher TG levels as compared to male non-smokers is consistent with the results of a number of previous studies [25-34]. Our results cohere with those reported in some previous studies that smokers with higher smoking amounts had higher TG levels as compared to individuals with relatively lower smoking amounts [28,33,34]. However, in several areas, our results were different from those reported previous; this applies to our finding that smoking had little impact on TG levels in men or that there was no significant difference in triglyceride levels between male smoking ‘quitters’ and smoking ‘continuers’ [35]. The lower level of HDL in smokers found in the present study was similar to the results of previous studies [8-10,36,37]. A recent review demonstrated that LDL-C is the least affected lipid component in smokers [38]; likewise, in the present study, we did not observe any significant association between cigarette smoking and LDL-C level.

In the present study, TG levels were found to be higher in current smokers, particularly in current heavy smokers. However, as revealed by baseline characteristics, the rate of high-risk drinkers among current smokers was 48.2%, which is much higher than that among past smokers (29.9%) and non-smokers (19.4%); therefore, alcohol drinking status and smoking status are strongly related to each other. Although alcohol drinking level was adjusted in regression analysis, there is a possibility that “heavy alcohol drinkers,” not “heavy smokers,” have higher TG levels [39,40]. To test this possibility, we stratified the participants into three groups according to their current drinking status (non-drinkers, moderate drinkers, and high-risk drinkers) and re-analyzed the association between smoking status and TG levels. The results are reported in Supplementary Table 1. Most participants (60.8%, n = 1,175) were moderate drinkers, and only 5.0% (n = 97) were non-drinkers. In both moderate drinkers and high-risk drinkers, current light smoking and current heavy smoking were significantly associated with higher log-TG levels, which is similar with the result in the total sample (n = 1,932). However, this pattern was not observed in non-drinkers, which might be due to the small number of current smokers among high-risk drinkers.

Several previous studies revealed gender differences in how smoking affects lipid levels [26,41,42]; but the results of these studies were not conclusive. In order to investigate whether the association between cigarette smoking and serum lipid levels differs between two genders in our study population, we conducted additional analysis with a total of 3,747 women. Similarly to our results on male smokers, we found no significant association of smoking with TC and LDL-C in women. However, unlike the results on male smokers, female past light smokers had significantly higher HDL-C than female never-smokers, and there was a significantly strong interaction between gender and smoking status (p = 0.0282). Female current light smokers also had a significantly higher TG level than female never-smokers. However, unlike in male smokers, TG level of female past heavy smokers and current heavy smokers was not significantly different from that of never-smokers (Supplementary Table 2).

In the present study, information on nutritional intake was included as the covariate in the analysis of the association between smoking and lipid levels. Several previous studies reported that higher carbohydrate intake generally leads to lower HDL-C and higher TG [43-45]. In this study, a higher carbohydrate intake was associated with a lower HDL-C level, but TG was significantly lower in individuals with a higher carbohydrate intake, which is inconsistent with the results of previous studies. According to some studies, not only the quantity of carbohydrate consumed, but also the source and type of carbohydrate consumed are also (albeit differently) associated with cardiovascular risk factors [46,47].

Of note, many studies on the relationship between carbohydrate intake and blood lipid levels have been conducted in Western countries. Considering that Asian and Western populations have very different aspects of carbohydrate intake [48], our results may differ from those of previous studies when it comes to the relationship between carbohydrate intake and TG level. Further research on dietary intake and lipid levels among the Korean population is needed.

Although the mechanism of how smoking affects serum lipid levels is not fully clear yet, several possible explanations can be proposed. In one model, rising catecholamine levels may cause a surge in circulating free fatty acids that stimulates hepatic TG synthesis and changes lipid metabolism [49,50]. Another model is that smoking evokes reduced activity of lecithin-cholesterol acyltransferase, the enzyme in charge of esterifying free cholesterol, which results in altered lipid metabolism [37,51]. The third possibility of higher TG level in smokers is that TG metabolism is slower in smokers, as lipoprotein lipase activity, which affects TG levels, is decreased in smokers [52].

The present study has several strengths compared to previous studies. First, our sample included apparently healthy subjects free of major CVD. Therefore, we investigated the impact of smoking on blood lipid profiles before progression to clinically apparent cardiovascular pathogenesis. Second, we identified an independent association between smoking and blood lipid levels by excluding individuals taking any lipid-control medications or receiving other treatments, as well as by additionally adjusting for variables that may influence lipid levels. Third, few previous studies that evaluated the effect of smoking on blood lipid profiles have accounted for nutrient intake and physical activity. Since our analysis considered the effect of these variables on lipid levels, we were able to more directly evaluate the independent association between cigarette smoking and blood lipid levels. Finally, our study adequately reflects the smoking behavior of the general population in Korea. According to the 2017 Korean National Health and Nutrition Survey data, among the men in the same age (30 to 64 years old), current smoking rate was 37.25%, and past smoking rate was 33.43%, with a lifetime smoking experience rate of 70.68%. The lifetime smoking experience rate of our study population was 76.80%, which is similar to that of the general population. Therefore, it is expected that the results of this study can be extended to general population.

Our study has several limitations. First, due to the cross-sectional study design, we could not investigate the longitudinal effect of cigarette smoking on blood lipid levels. Future longitudinal research could confirm that increased serum TG levels and decreased HDL level result from smoking habits and establish a cause-andeffect relationship. Second, considering that information on smoking was obtained by in-person interviews, inaccuracy may be present in the data from measurement errors and recall bias [53]. However, current smoking status is not likely to be an object of recall bias. Additionally, in order to determine the dose of smoking in pack-years, we examined the reliability of two types of information: age at smoking initiation and amount of smoking per day. A part of our study population had received health examinations in years 1999, 2005, or 2010 to 2011 in a separate study. Smoking data obtained in 1999, 2005, or 2010 to 2011 examinations were matched with smoking data from the CMERC cohort. A total of 135 pairs were derived from these data, and Spearman’s correlation analyses were conducted. The correlation coefficients for the age at smoking initiation and for the amount of smoking per day were 0.49983 (p < 0.001) and 0.50121 (p < 0.001), respectively. Third, there could have been unknown or unexpected confounding variables in lifestyles between smokers and never-smokers. However, major causes of dyslipidemia, including obesity, alcohol intake, diabetes, and other lifestyle factors, were considered in the present study. Fourth, we could not measure the impact of passive smoking. According to previous studies, passive smoking is associated with increased risk of CVD [54,55]; however, its effect on CVD is much smaller than that of active smoking, according to a meta-analysis study [55].

In Korea, the proportion of men aged over 30 years old and having hypertriglyceridemia is more than twice higher than that of women (24.8% vs. 11.0%) [11]. These gender differences might be attributable to the differences in the practice of health behaviors between two genders, such as alcohol drinking pattern and cigarette smoking. As hypertriglyceridemia is an independent risk factor for CVD including coronary heart disease [56,57], the management of TG is crucial. In this regard, the results of the present study are meaningful because we demonstrated that cigarette smoking alone increases TG level, even after ruling out the effects of commonly-known risk factors (obesity, blood pressure, glucose, nutritional intake, alcohol drinking, and exercise) on TG level. Furthermore, the proportion of Korean men over 30 with hypo-HDL cholesterolemia amounts to 27.2% [11]. Elevating HDL-C is helpful for the prevention of CVD, as it is known to be a “protective particle” that improves endothelial function and limits atherosclerosis progression [10,50]. In the present study, current heavy smoking was shown to be associated with a lower HDL-C level, which suggests the possibility that cigarette smoking might be a risk factor for lowering HDL-C.

In conclusion, in the present study, we found that current cigarette smoking is associated with high TG levels in apparently healthy Korean males. Additionally, we found that people with a higher number of cigarettes smoked in pack-years had higher serum TG levels. For current smokers with over 20 pack-years, not only higher TG, but also lower HDL-C were observed. The lipid levels of past smokers were not considerably different from those of never-smokers. Further research is needed to clarify the effect of cigarette smoking on blood lipid profiles and to discover the mechanism by which smoking alters lipid metabolism.

KEY MESSAGE

1. In apparently healthy Korean male population, current cigarette smoking was found to be associated with higher serum triglyceride (TG) levels, and heavy smokers had higher TG levels than light smokers.

2. Current smokers with over 20 pack-years had not only higher log-triglycerides levels, but also lower high-density lipoprotein levels.

3. The lipid levels of past smokers (particularly past smokers with fewer than 20 pack-years) were almost identical to those of never-smokers.

Conflict of Interest

No potential conflict of interest relevant to this article was reported.

Acknowledgments

This work was supported by a grant of the Korea Health Technology R&D Project through the Korea Health Industry Development Institute (KHIDI), funded by the Ministry of Health and Welfare, Republic of Korea (grant no. HI13C0715).

Supplementary Materials

Supplementary Table 1.

Serum triglycerides levels by current smoking status and smoked pack-years (stratified for alcohol drinking status)

kjim-2019-133-suppl1.pdf

Supplementary Table 2.

Serum lipid levels by current smoking status and smoked pack-years (women only)

kjim-2019-133-suppl2.pdf

Figure 1.

Study inclusion flow chart. CMERC, Cardiovascular and Metabolic Diseases Etiology Research Center.

Figure 2.

Mean of each lipid level according to current smoking status among Korean men. Past smokers who do not smoke currently were excluded. TC, total cholesterol; HDLC, high-density lipoprotein cholesterol; LDL-C, low-density lipoprotein cholesterol; TG, triglyceride. ^aCalculated from log-transformed TG.

Figure 3.

(A, B) Correlation between smoked pack-years and lipid levels among current smokers. TG, triglyceride; HDL-C, high-density lipoprotein cholesterol. ^aUnadjusted Pearson’s correlation coefficient. ^bAdjusted Pearson’s correlation coefficient, adjusted for age, body mass index, systolic blood pressure, fasting glucose, physical activity, and intake of energy, carbohydrate, and fat.

Table 1.

General Characteristics of study population

Characteristic	Total (n = 1,932)	Smoking status
Characteristic	Total (n = 1,932)	Never-smoker (n = 448)	Past smoker (n = 779)	p value^a	Current smoker (n = 705)	p value^a
Age, yr	49.5 ± 9.6	48.4 ± 10.5	52.8 ± 8.3	< 0.001	46.5 ± 9.2	0.002
Weight, kg	72.8 ± 10.2	72.0 ± 9.5	72.0 ± 9.8	0.977	74.1 ± 10.9	0.001
Height, cm	170.9 ± 6.0	170.7 ± 6.2	170.0 ± 5.9	0.060	171.9 ± 5.9	0.001
Body mass index, kg/m²	24.9 ± 2.9	24.7 ± 2.8	24.9 ± 2.7	0.277	25.0 ± 3.1	0.055
Systolic blood pressure, mmHg	124.4 ± 13.7	123.4 ± 13.1	125.8 ± 14.0	0.003	123.6 ± 13.6	0.862
Diastolic blood pressure, mmHg	80.3 ± 10.0	79.5 ± 9.5	81.0 ± 10.1	0.012	80.0 ± 10.1	0.449
Fasting serum glucose, mg/dL	94 (87–103)	91 (85–100)	96(89–105)	< 0.001	94 (86–102)	0.006
TC, mg/dL	196.5 ± 33.6	194.9 ± 33.6	196.6 ± 34.0	0.375	197.4 ± 33.0	0.213
HDL-C, mg/dL	50.2 ± 12.2	50.6 ± 12.5	50.8 ± 12.4	0.798	49.3 ± 11.79	0.077
LDL-C, mg/dL	114.7 ± 31.3	116.4 ± 30.9	115.4 ± 31.1	0.614	112.8 ± 31.7	0.059
TG, mg/dL	133 (93–188)	115 (84–168)	130 (92–176)	0.027	149 (103–210)	< 0.001
Energy intake, kcal/day	2,670.5 ± 925.7	2,504.9 ± 856.7	2,544.5 ± 817.4	0.422	2,915.1 ± 1,025.3	< 0.001
Carbohydrate intake, g/day	417.2 ± 128.5	403.9 ± 119.5	405.6 ± 119.7	0.816	438.4 ± 140.3	< 0.001
Protein intake, g/day	83.5 ± 37.2	80.6 ± 35.7	80.1 ± 32.8	0.787	89.2 ± 41.7	< 0.001
Fat intake, g/day	50.4 ± 28.5	48.4 ± 27.8	46.8 ± 24.6	0.304	55.7 ± 31.9	< 0.001
Current alcohol intake
Non-drinker	97 (5.0)	29 (6.5)	58 (7.5)	< 0.001	10 (1.4)	< 0.001
Moderate drinker	1,175 (60.8)	332 (74.1)	488 (62.6)		355 (50.4)
High-risk drinker	660 (34.2)	87 (19.4)	233 (29.9)		340 (48.2)
Physical activity
Low	773 (40.0)	157 (35.0)	292 (37.5)	0.425	324 (46.0)	0.001
Moderate	720 (37.3)	186 (41.5)	294 (37.7)		240 (34.0)
High	439 (22.7)	105 (23.4)	193 (24.8)		141 (20.0)

Values are presented as mean ± SD, median (interquartile range), or number (%).

TC, total cholesterol; HDL-C, high-density lipoprotein cholesterol; LDL-C, low-density lipoprotein cholesterol; TG, triglyceride.

^a A p values are calculated by independent t tests or chi-square tests, compared to non-smokers.

Table 2.

Factors associated with blood lipid levels

Variables	TC, mg/dL			HDL-C, mg/dL			LDL-C, mg/dL			Log-TG
Variables	Standardized β	β	p value	Standardized β	β	p value	Standardized β	β	p value	Standardized β	β	p value
Age, /10 yr	–0.02	–0.72	0.424	–0.02	–0.24	0.426	0.03	0.99	0.237	–0.05	–0.02	0.039
Cigarette smoking
Never-smoker	Reference			Reference			Reference			Reference
Past smoker	0.03	1.85	0.360	0.01	0.30	0.658	0.003	0.22	0.907	0.05	0.05	0.083
Current smoker	0.04	2.59	0.215	–0.07	–1.82	0.010	–0.003	–0.17	0.930	0.14	0.15	< 0.001
BMI, /1.0 kg/m²	0.09	1.06	< 0.001	–0.31	–1.31	< 0.001	0.09	0.93	< 0.001	0.25	0.05	< 0.001
Alcohol intake^a	–0.01	–0.77	0.679	0.09	2.06	0.001	–0.08	–4.71	0.007	0.04	0.04	0.180
SBP, /10 mmHg	0.11	2.81	< 0.001	0.02	0.16	0.418	0.05	1.21	0.025	0.12	0.05	< 0.001
Fasting glucose^b	–0.05	–8.57	0.047	–0.04	–2.74	0.062	–0.11	–18.22	< 0.001	0.11	0 .34	< 0.001
Physical activity^c	0.02	0.78	0.429	0.15	2.42	< 0.001	–0.001	–0.05	0.950	–0.09	–0.07	< 0.001
Total energy intake, /100 kcal/day	0.05	0.18	0.631	0.33	0.44	< 0.001	–0.25	–0.83	0.015	0.24	0.01	0.011
Carbohydrate intake, /100 g/day	–0.11	–2.90	0.099	–0.30	–2.82	< 0.001	0.10	2.37	0.148	–0.14	–0.06	0.023
Fat intake, /100 g/day	0.03	3.67	0.563	–0.07	–2.81	0.193	0.14	15.43	0.009	–0.12	–0.23	0.015

Values are the results from multiple linear regression models.

TC, total cholesterol; HDL-C, high-density lipoprotein cholesterol; LDL-C, low-density lipoprotein cholesterol; TG, triglyceride; BMI, body mass index; SBP, systolicblood pressure.

^a Per one level higher (from non-drinker to moderate drinker or from moderate drinker to high-risk drinker).

^b Log-transformed because of the skewed distribution.

^c Per one level higher (from low to moderate or from moderate to high).

Table 3.

Serum lipid levels by current smoking status and smoked pack-years

Smoking status	TC, mg/dL			HDL-C, mg/dL			LDL-C, mg/dL			Log-TG
Smoking status	β	95% CI	p value	β	95% CI	p value	β	95% CI	p value	β	95% CI	p value
Never-smoker (n = 448)	Reference			Reference			Reference			Reference
Past light smoker (n = 515)^a	1.63	–2.61 to 5.87	0.450	0.13	–1.32 to 1.57	0.864	0.36	–3.59 to 4.30	0.450	0.04	–0.02 to 0.10	0.208
Past heavy smoker (n = 264)^a	2.46	–2.81 to 7.73	0.360	0.60	–1.19 to 2.40	0.509	–0.26	–5.16 to 4.64	0.917	0.08	–0.01 to 0.16	0.037
Current light smoker (n = 397)^a	2.13	–2.53 to 6.79	0.371	–1.46	–3.04 to 0.13	0.072	0.40	–3.93 to 4.74	0.855	0.13	0.07 to 0.20	< 0.001
Current heavy smoker (n = 308)	3.20	–1.80 to 8.20	0.210	–2.27	–3.97 to –0.57	0.009	–0.93	–5.58 to 3.72	0.695	0.18	0.10 to 0.25	< 0.001

Values are the results from multiple linear regression models adjusted for age, body mass index, alcohol intake, systolic blood pressure, fasting serum glucose, physical activity and energy, carbohydrate and fat intake.

TC, total cholesterol; HDL-C, high-density lipoprotein cholesterol; LDL-C, low-density lipoprotein cholesterol; TG, triglyceride; CI, confidence interval.

^a Past/current light smokers are past/current smokers with less than 20 pack-year, past/current heavy smokers are past/current smokers with more than 20 pack-year.

Table 4.

Comparison of blood triglyceride levels between each of the smoking categories

Name	Group 1, mg/dL	Group 2, mg/dL	Group 1–2, mg/dL	p value
Name	Mean ± SE	Mean ± SE	Mean (95% CI)	p value
Current heavy smoker^a	178.57 ± 5.82
Current light smoker		162.48 ± 5.30	16.09 (0.70 to 31.48)	0.041
Past heavy smoker		157.17 ± 6.39	21.40 (4.58 to 38.23)	0.013
Past light smoker		152.33 ± 4.46	26.24 (11.73 to 40.74)	< 0.001
Never-smoker		146.58 ± 4.82	31.99 (16.90 to 47.08)	< 0.001
Current light smoker^a	162.48 ± 5.30
Past heavy smoker		157.17 ± 6.39	5.31 (–11.54 to 22.17)	0.537
Past light smoker		152.33 ± 4.46	10.15 (–3.74 to 24.04)	0.152
Never-smoker		146.58 ± 4.82	15.90 (1.84 to 29.96)	0.027
Past heavy smoker^a	157.17 ± 6.39
Past light smoker		152.33 ± 4.46	4.83 (–10.27 to 19.94)	0.530
Never-smoker		146.58 ± 4.82	10.59 (–5.31 to 26.48)	0.192
Past light smoker^a	152.33 ± 4.46
Never-smoker		146.58 ± 4.82	5.75 (–7.05 to 18.55)	0.378

Values are least square means adjusted for age, body mass index, alcohol drinking, systolic blood pressure, log-transformed fasting serum glucose, physical activity and energy, carbohydrate and fat intake.

SE, standard error; CI, confidence interval.

^a Past/current light smokers are past/current smokers with less than 20 pack-year, past/current heavy smokers are past/current smokers with more than 20 pack-year.

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