Association between secondhand smoke exposure and new-onset hypertension in self-reported never smokers verified by cotinine

Article information

Korean J Intern Med. 2021;36(6):1377-1388
Publication date (electronic) : 2021 June 9
doi : https://doi.org/10.3904/kjim.2021.214
1Division of Cardiology, Department of Internal Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea
2Center for Cohort Studies, Total Healthcare Center, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea
Correspondence to Byung Jin Kim, M.D. Division of Cardiology, Department of Internal Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, 29 Saemunan-ro, Jongno-gu, Seoul 03181, Korea Tel: +82-2-2001-2401 Fax: +82-2-2001-2400 E-mail: bjjake.kim@samsung.com
Received 2021 May 3; Revised 2021 June 8; Accepted 2021 June 9.

Abstract

Background/Aims

There is no study assessing the effect of changes of secondhand smoke (SHS) exposure and new-onset hypertension. We investigated the effect of a change of SHS exposure status on new-onset hypertension in self-reported and cotinine-verified never smokers.

Methods

Out of individuals enrolled in the Kangbuk Samsung Health Study between 2011 and 2016, 87,486 self-reported and cotinine-verified never smokers without hypertension at baseline visit were included with a median follow-up of 36 months. Individuals were divided into four groups on the basis of their SHS exposure status at baseline and at follow-up: no, new, former, and sustained SHS exposure groups.

Results

The incidence rates per 10,000 person-year of new-onset hypertension in no, new, former, and sustained SHS exposure groups were 84.7, 113.3, 102.0, and 123.7, respectively (p < 0.001). A multivariable Cox-hazard analyses showed that new and sustained SHS exposure groups increased their hazard ratio (HR) for new-onset hypertension compared to no SHS exposure group (HR, 1.31; 95% confidence interval [CI], 1.08 to 1.60 for new SHS exposure group; and HR, 1.24; 95% CI, 1.06 to 1.45 for sustained SHS exposure group). However, being part of the former SHS exposure group did not increase the risk of new-onset hypertension (HR, 0.91; 95% CI, 0.81 to 1.03).

Conclusions

This study showed that either new, or sustained SHS exposure, but not former SHS exposure, increased the risk for new-onset hypertension in self-reported never smokers verified as nonsmokers by urinary cotinine. These findings show the possibility that changing exposure to SHS even for a relatively short period can modify the risk of new-onset hypertension in self-reported and cotinine-verified never smokers.

INTRODUCTION

Secondhand smoke (SHS) exposure as well as active smoking are known to increase the risk of various diseases and deaths worldwide, so various legislation, including the expansion of non-smoking areas, has continued to be passed at the government level to reduce SHS exposure. The prevalence of SHS exposure in Korea has been also decreasing due to the expansion of smoking-free areas in public places and to public health concerns [1]. Meanwhile, since the assessment of smoking status is generally based on self-reported questionnaires, there may be limitations in the ability of investigators to accurately assess the actual smoking status of individuals. Consequently, the public health effects of SHS exposure also may be underestimated or overestimated. Cotinine has been used as an easily available biochemical marker for evaluating actual smoking status. Our earlier studies using urinary cotinine have reported a misclassification between self-reported smoking status and cotinine-verified smoking status [2-4].

Hypertension is a major risk factor for various cardiovascular diseases. Although SHS exposure in never-smokers was significantly associated with hypertension in most previous studies, the studies have been based on self-reporting in assessing smoking status [5-11]. Recently, we reported a study on the link between SHS exposure and hypertension using self-reported questionnaire and urinary cotinine verification, which also showed a significant relationship between the two [12]. However, because the design of previous studies including ours, were cross-sectional, a causal relationship between SHS exposure and hypertension could not be confirmed.

Therefore, this longitudinal study was conducted to assess the association between SHS exposure and new-onset hypertension in self-reported and cotinine-verified never smokers over the median 3-year follow-up period, and to evaluate the association between changes in SHS exposure during the follow-up period and new-onset hypertension.

METHODS

Study population

The Kangbuk Samsung Health Study (KSHS) has been ongoing since 2002 and includes a cohort of individuals over the age of 18 years who underwent comprehensive health screening examinations at the Total Healthcare Centers in Seoul and Suwon in Kangbuk Samsung Hospital. The majority of participants enrolled in the study visited annually or biennially, and were employees of companies or local government organizations and their spouses. In Korea, the Industrial Safety and Health Law stipulates that all employees receive free health screening examinations every year or every 2 years. As urinary cotinine measurement began in 2011, this study included all subjects who participated in the KSHS, who visited at least twice for health promotion and screening at both Total Healthcare Centers from 2011 to 2016.

Of a total of 265,627 individuals, 161,984 who conducted the urinary cotinine measurement were initially enrolled. Among them, 74,498 were excluded from this study for the following reasons: 1,313 individuals with missing data for self-reported smoking status; 14,798 individuals with hypertension or missing data for blood pressure (BP) at baseline; 54,236 self-reported former or current smokers at baseline; 1,896 cotinine-verified smokers at baseline; 2,022 self-reported former or current smokers at follow-up; and 233 cotinine-verified smokers at follow-up (Fig. 1). After exclusions, 87,486 self-reported and cotinine-verified never smokers without hypertension at baseline were included. The median follow-up in this study was 36 months (interquartile range, 24 to 48).

Figure 1.

Flow chart for sample selection criteria.

This study was approved by the Institutional Review Board of Kangbuk Samsung Hospital (IRB No: 2018-06-028). As the KSHS data has been managed as both anonymous and deidentified, informed consent was waived.

BP measurements

The methodology of standardized questionnaires, and anthropometric and laboratory data has been previously described in detail [2,3].

Vigorous exercise status was defined as < 5 times/week versus ≥ 5 times/week according to the answer to a question “During the last 7 days, on how many days did you do vigorous physical activities like heavy lifting, digging, aerobics, or fast bicycling?” Alcohol consumption was defined as the amount of alcohol consumed per day (g/day) calculated by asking for the frequency of alcohol beverage consumption and the amount of alcohol consumed per time.

During each visit, the participants were asked which arm they usually measured BP on, and seated BP was measured three times at the heart level at a resting state for 5 minutes or longer after urination before the measurement, with an automated oscillometric device (53000-E2, Welch Allyn, New York, NY, USA), at least every 2 minutes by well-trained nurses. The 2nd and 3rd of the three measurements were averaged to get the systolic blood pressure (SBP) and diastolic blood pressure (DBP). New-onset hypertension was defined as high BP (SBP ≥ 140 mmHg and/or DBP ≥ 90 mmHg) or currently taking antihypertensive medication at follow-up.

Diabetes was defined as a fasting blood glucose level ≥ 7.0 mmol/L (126 mg/dL), hemoglobin A1c level ≥ 6.5%, having a history of self-reported, physician-diagnosed diabetes, or the current use of antidiabetic medication.

Assessments of smoking status

The self-reported questionnaire survey was conducted on every visit and urinary cotinine tests were typically performed on every visit, but some subjects did not take urinary cotinine tests depending on the type of the health examination package.

On the day of the examination, urinary cotinine test was conducted after 10 hours of a smoking-free period with the DRI Cotinine Assay (Microgenics Corp., Fremont, CA, USA) by an automated chemistry analyzer (Cobas c702, Roche Diagnostics, Tokyo, Japan). The test had a detection limit of 34 ng/mL and all tests were performed according to the manufacturer’s instructions. The intra-assay coefficients of variation for quality control specimens of lower levels and higher levels were 4.16%–8.59% and 1.89%–2.28%, and the inter-assay coefficients of variations were 5.08%–9.8% and 1.98%–4.28% during study period. The Laboratory Medicine Department at Kangbuk Samsung Hospital has been accredited by the Korean Society of Laboratory Medicine (KSLM) and the Korean Association of Quality Assurance for Clinical Laboratories (KAQACL). The laboratory also participates in the survey proficiency testing provided by the College of American Pathologists (CAP).

Self-reported never smokers were defined as individuals who had never smoked or had smoked fewer than five packs in their lives, based on the standardized self-reported questionnaires. Cotinine-verified smoking was defined as having urinary cotinine ≥ 50 ng/mL [13]. Self-reported and cotinine-verified never smoker was defined as self-reported never smoker with urinary cotinine level < 50 ng/mL.

According to the self-reported questionnaires, SHS exposure was defined as current exposure to passive smoke indoors at home and in the workplace (Supplementary Fig. 1). Daily time, weekly frequency, and total duration of SHS exposure were collected. According to presence/absence of SHS exposure at baseline and at follow-up, individuals were divided into four groups: No SHS exposure group as individuals without SHS exposure both at baseline and at follow-up; new SHS exposure group, as those without SHS exposure at baseline and with SHS exposure at follow-up; former SHS exposure group as those with SHS exposure at baseline and without SHS exposure at follow-up; sustained SHS exposure group, as those with SHS exposure both at baseline and at follow-up.

Statistical analyses

Continuous variables are expressed as mean ± standard deviation or median (IQR), and categorical variables are presented as numbers with percentages (%). Serum triglycerides (TG), high-sensitivity C-reactive protein (hsCRP), and alcohol consumption were log-transformed for analysis; however, data in tables is presented as untransformed original data for easy interpretation. The characteristics of the four SHS exposure groups were compared using analysis of variance (ANOVA) test or chi-square test. Post hoc comparisons between the four groups were assessed with Scheffe’s multiple comparison. The characteristics of the two groups according to the presence/absence of new-onset hypertension were assessed with Student t test or chi-square test. To evaluate the effects of the four SHS exposure groups on new-onset hypertension, crude, and multivariable Cox-hazard regression analyses were used. Adjusted covariates included in the multivariable model included statistically significant variables in the univariable model and also included exercise, a generally accepted variable that affects hypertension. Multivariable model 1 was adjusted for age, sex, body mass index, waist circumference, vigorous exercise, alcohol consumption, and presence/absence of diabetes. Multivariable model 2 was adjusted for the variables in the model 1 and creatinine, uric acid, total cholesterol, low density lipoprotein cholesterol, high density lipoprotein cholesterol, TG, and hsCRP. In addition, sensitivity analyses using propensity-score matching (PSM) on the basis of the variables in Table 1 were performed to control the potential influence of confounding factors. Weight change was assessed by subtracting weight at baseline from that at follow-up, and was categorized as weight reduction (> 1 kg), no change, weight gain (> 1 kg) for subgroup analyses. IBM SPSS version 24 (IBM Corp, Armonk, NY, USA) was used for the statistical analyses and two-tailed p value < 0.05 was considered statistically significant.

Baseline characteristics of the four SHS exposure groups in the overall population

RESULTS

Incidence of new-onset hypertension according to presence or absence of SHS exposure at baseline and at follow-up

Of the 87,486 individuals, mean ± standard deviation age was 36 ± 5.6 years, of which 68.9% were women. The prevalence of SHS exposure at baseline and at follow-up was 23.4% and 11.9%, respectively; the prevalence of the four SHS exposure groups for no SHS exposure, new SHS exposure, former SHS exposure and sustained SHS exposure was 72.0%, 4.6%, 16.1%, and 7.3%, respectively.

The overall incidence of new-onset hypertension was 2.8%. The overall incidence rate per 10,000 person-year (PY) of new-onset hypertension was 91.6; the incidence rate per 10,000 PY of new-onset hypertension in the group with SHS exposure at baseline was higher than in the group without SHS exposure at baseline (108.2 vs. 86.4, p < 0.001) (Supplementary Fig. 2A); that in the group with SHS exposure at follow-up was also higher than in the group without SHS exposure at follow-up (120.0 vs. 88.1, p < 0.001) (Supplementary Fig. 2B). The incidence rates per 10,000 PY of new-onset hypertensions among the four SHS exposure groups according to the change of SHS exposure at baseline and at follow-up differed significantly, being 84.7, 113.3, 102.0, and 123.7 for no SHS exposure, new SHS exposure, former SHS exposure, and sustained SHS exposure groups, respectively (p < 0.001) (Fig. 2).

Figure 2.

Incidence rates per 10,000 person-year of new-onset hypertension among the four secondhand smoke (SHS) exposure groups. No SHS exposure group was defined as individuals without SHS exposure both at baseline and at follow-up; New SHS exposure group as those without SHS exposure at baseline and with SHS exposure at follow-up; Former SHS exposure group as those with SHS exposure at baseline and without SHS exposure at follow-up; Sustained SHS exposure group as those with SHS exposure both at baseline and at follow-up. PY, person-year. aChi-square test.

Comparisons of the baseline characteristics of the four SHS exposure groups

As shown in Table 1, all variables except hemoglobin A1c significantly differed among the four SHS exposure groups. Compared with individuals with no SHS exposure, individuals with sustained SHS exposure were older whereas those with new and former SHS exposure were younger. Meanwhile, individuals with new, former, and sustained SHS exposure were more obese and were more likely to be men and have higher frequency of alcohol consumption, vigorous exercise and diabetes, and unfavorable renal and lipid profiles, compared with those with no SHS exposure. The comparisons of the characteristics among the four SHS exposure groups are presented in Supplementary Tables 1 and 2. The baseline characteristics between individuals with and without new-onset hypertension in the overall population showed significant difference in all variables except vigorous exercise (Supplementary Table 3).

Effects of SHS exposure at baseline and at follow-up on new-onset hypertension

The results of multivariable Cox-hazard regression analyses showed that the SHS exposure group at baseline did not significantly increase the risk of new-onset hypertension compared with no SHS exposure at baseline (hazard ratio [HR], 0.95; 95% confidence interval [CI], 0.87 to 1.05; and HR, 0.95; 95% CI, 0.86 to 1.05 in multivariable model 1 and 2, respectively) (Table 2). Meanwhile, SHS exposure at follow-up significantly increased the risk of new-onset hypertension compared to no SHS exposure group at follow-up in multivariate models (HR, 1.28; 95% CI, 1.13, 1.45; and HR, 1.26; 95% CI, 1.11 to 1.42 in the multivariable model 1 and 2, respectively) (Table 2). Longer daily time and total duration of SHS exposure at baseline showed a significant trend for the risk of new-onset hypertension, whereas the relationships between daily time, weekly frequency, and total duration of SHS exposure at follow-up and the risk of new-onset hypertension were stronger and more obvious (all p for trends < 0.001) (Table 3).

Multivariable Cox-hazard regression analyses for the effects of SHS exposure on new-onset hypertension in the overall population

Multivariable Cox-hazard regression analyses for the effects of frequency and duration of SHS exposure at baseline and at follow-up on new-onset hypertension in the overall population

There were significant differences in SBP and DBP change between at baseline and at follow-up among the four SHS exposure groups in the overall population as well as in individuals without taking antihypertensive medication (Table 4). In particular, in individuals without taking antihypertensive medication at follow-up, compared to no SHS exposure group, SBP at follow-up in the former SHS exposure group significantly decreased (1.38 mmHg vs. 1.07 mmHg, p < 0.05), while DBP at baseline at follow-up in the new SHS exposure group numerically increased (0.99 mmHg vs. 1.27 mmHg, p = 0.08). Moreover, the mean change of SBP in the new SHS exposure group was numerically higher than that in the former SHS exposure group (1.49 mmHg vs. 1.07 mmHg, p = 0.05).

Mean changes of systolic and diastolic blood pressure between at baseline and at follow-up among the four SHS exposure group

Effects of SHS exposure among the four SHS exposure groups according to the change of SHS exposure status between at baseline and at follow-up on new-onset hypertension

Compared with no SHS exposure group, both new and sustained SHS exposure groups significantly increased the risk of new-onset hypertension in the multivariable analyses (HR, 1.30; 95% CI, 1.07 to 1.59; and HR, 1.20; 95% CI, 1.03 to 1.41 in model 1; HR, 1.29; 95% CI, 1.06 to 1.57; and HR, 1.18; 95% CI, 1.01 to 1.38 in model 2) (Table 2). Meanwhile, the former SHS group was not significantly associated with the risk of new-onset hypertension in the multivariable analyses (HR, 0.89; 95% CI, 0.79 to 1.00 in model 1; and HR, 0.89; 95% CI, 0.79 to 1.00 in model 2) (Table 2). Sensitivity analyses using PSM showed similarity to the main findings of the entire population of this study (Supplementary Table 4).

Longer daily time and higher weekly frequency of SHS exposure at follow-up in new SHS exposure group significantly increased the risk of new-onset hypertension in the multivariable model 2 (Supplementary Table 5). In particular, individuals with SHS exposure for more than an hour a day and more than three times a week at follow-up in the new SHS exposure group increased their risk of new-onset hypertension by 87% and 69%, respectively, compared to those with no SHS exposure (Supplementary Table 5). Sustained SHS exposure group also significantly increased the risk of new-onset hypertension with longer daily time and total duration of SHS exposure, and the RRs of new-onset HT were significantly high, even if they were exposed to SHS for less than 1 hour a day, less than three times a week or less than 10 years (HR, 1.87; 95% CI, 1.39 to 2.50; HR, 1.65; 95% CI, 1.26 to 2.15; and HR, 1.80; 95% CI, 1.19 to 2.73) (Supplementary Table 5).

Subgroup analyses according to the three weight change categories showed that compared to the no SHS exposure group, the only former SHS exposure group in the weight reduction category (> 1 kg) significantly decreased the risk of new-onset hypertension (HR, 0.70; 95% CI, 0.51 to 0.95); the new and sustained SHS exposure groups in no weight change category significantly increased the risk of new-onset hypertension (HR, 1.76; 95% CI, 1.13 to 2.75; and HR, 1.50; 95% CI, 1.06 to 2.11) but the former SHS exposure group did not (HR, 1.10; 95% CI, 0.84 to 1.43); all the three SHS exposure groups in the weight gain category (> 1 kg) did not change the risk of new-onset HT (Supplementary Table 6).

There was no gender interaction for the association between SHS exposure and new-onset hypertension (p for interaction = 0.558).

DISCUSSION

Our study shows that new and sustained SHS exposures in self-reported and cotinine-verified never smokers significantly increase the risk of new-onset hypertension during the median 3-year follow-up period, while e former SHS exposure does not increase the risk of new-onset hypertension.

Previous studies have reported that smoking causes structural and functional changes in arteries including increased arterial stiffness and atherosclerosis [14], but the biochemical mechanisms that underlie the effects of smoking on BP are still unclear. Most previous studies have shown that sympathetic activation by nicotine in cigarettes primarily contributes to increased BP [15,16], whereas other studies have reported that sympathetic inhibition via activation of baroreflex and vasodepressor effects of carbon monoxide from cigarette emission can offset BP increase [17,18]. In addition, there is as yet a lack of research on how thousands of toxic constituents in cigarettes affect BP. Consequently, chronic smoking is likely to have various biochemical effects on BP and the vasculatures. Even with regard to SHS exposure, several studies have shown putative mechanisms linking SHS exposure to BP including muscle sympathetic activation and structural and functional vascular changes [19-21].

There have been other epidemiological studies investigating the association between chronic smoking and BP/hypertension, and theses have shown inconsistent results [2,22-25]. Meanwhile, epidemiological studies linking SHS exposure to hypertension have reported positive associations between SHS exposure and hypertension [5-10,26]. Recently, we also reported that a significant relationship exists between SHS exposure and hypertension in self-reported and cotinine-verified never smokers [12]. However, because all of the aforementioned studies are cross-sectional, a causal relationship between SHS exposure and hypertension cannot be confirmed. Also, all of the other studies except our own were based on self-reported questionnaire, so they may have errors in the misclassification of actual smoking status. Particularly in Korea, due to Confucian culture which is still socially prevalent, it is more likely that actual smokers may falsely claim to be never smokers in self-reported questionnaire.

There are several notable differences in the current study from earlier ones. First, we not only evaluated the effect of the presence of SHS exposure at baseline and follow-up on the risk of new-onset hypertension, but also the effect of changes in SHS exposure during the follow-up period. Our results of evaluating the link between SHS exposure and new-onset hypertension based on each baseline and follow-up in Table 3 were inconsistent. However, because these results did not reflect changes in SHS exposure during follow-up, these discrepancies would not determine the relationship between SHS exposure and new-onset hypertension. A major finding in the present study was that people previously exposed to SHS did not increase the risk of new-onset hypertension if they were not exposed to SHS within 3 years. On the other hand, exposure to SHS within 3 years, even if individuals had never been exposed before, increased the risk of new-onset hypertension by about 30%, and sustained SHS exposure increased the risk of new-onset hypertension by about 20%. In our study, the mechanism for explaining the results that the former SHS exposure group did not increase the risk of new-onset hypertension is unclear. One potential mechanism would not exclude the reversibility of the aforementioned biological effects of smoking. However, no studies have so far evaluated the biological effects of new-onset hypertension and changes in SHS exposure, which may require further researches. Another mechanism would be the behavior factors including weight change. The present study showed a significant difference in weight change during follow-up among the four SHS exposure groups (1.1 ± 3.3, 1.1 ± 3.4, 1.4 ± 3.5, and 1.0 ± 3.3 kg in the no, new, former, and sustained SHS exposure groups, respectively; p < 0.001). Nevertheless, the new, former, and sustained SHS exposure in individuals with weight gain did not change the risk of new-onset hypertension compared to the no SHS exposure, but only former SHS exposure in those with no weight change did not change the risk of new-onset hypertension and also the former SHS exposure in those with weight reduction significantly reduced the risk of new-onset hypertension. These findings suggest the importance of avoiding SHS exposure even for a few years and reducing the amount and number of SHS exposures, along with weight control, in order to reduce the risk of hypertension. Our results also showed relatively higher risk for new-onset hypertension in the new SHS exposure group than in the sustained SHS exposure group. The possible reason for this finding would be as follows. According to our cross-sectional research published previously [12], the prevalence of hypertension in the group with SHS exposure was higher than that in the group without (6.7% vs. 5.1%, p < 0.001). We excluded hypertensive individuals at baseline in order to assess new-onset hypertension, suggesting that individuals with SHS exposure at baseline could be more resistant to new-onset hypertension by sustained SHS exposure. Second, the present study included cotinine verification in order to identify never smokers and to minimize the misclassification of self-reported never smokers. Although controversy still exists over a cut-off point for cotinine in discriminating current from never smokers, a generally accepted 50 ng/mL of urinary cotinine was used [13]. In our previous studies, this cut-off provided high sensitivity (84.8% to 90.0%) and specificity (98.2%) for assessing smoking status [2,20], with low misclassification rates of cotinine-verified current smokers among self-reported never smokers (1.7% to 1.8%) [2,3].

This study has several limitations. First, because the KSHS data was based on individuals who underwent health promotion and screening examination and over 80% of them were employees of various companies or local government organizations, most of the subjects in this study were middle-aged and apparently relatively healthy. Therefore, as described in our previous studies, they may not be representative of the overall Korean population. Moreover, we excluded hypertensive individuals at baseline, which may be a selection bias. Second, BP in individuals enrolled from 2012 to 2016 was measured three times and was averaged. Meanwhile, since only one BP measurement was taken at baseline for those enrolled in 2011 (n = 20,668), there might be a possibility of misclassification of hypertension at baseline. However, results for the association between SHS exposure and new-onset hypertension in the 66,818 individuals after excluding 20,668 individuals who enrolled in 2011, were similar to the main results for the overall population in our study (data not shown). Third, the median follow-up duration was relatively short at three years. However, since the KSHS is still underway, longitudinal studies with a longer follow-up period will still be possible in the future. Fourth, we were unable to assess the duration of no more SHS exposure during follow-up in the former SHS exposure group using our standardized questionnaire. Fifth, although the present study includes comprehensive data, potential confounding factors could still exist, including diet and genetic variation influencing nicotine metabolism and hypertension. Lastly, since information on SHS exposure is based on self-reported questionnaires in our study, there may be limitations in actually quantifying the amount of SHS. Nevertheless, this study is valuable in that it is the first and largest to evaluate the association between changes in SHS exposure and new-onset hypertension in never smokers using cotinine as well as self-reporting to more accurately classify never smokers.

In conclusion, this longitudinal study showed that the sustained SHS exposure, but not former SHS exposure, increased the risk for new-onset hypertension in self-reported and cotinine-verified never-smokers. Furthermore, although the follow-up period was relatively short, new SHS exposure also increased the risk of new-onset hypertension. In other words, minimizing exposure to SHS is necessary to reduce the incidence of new-onset hypertension, and also that even if exposure to SHS has previously been experienced, it does not increase the incidence of new-onset hypertension unless there is subsequent exposure. Although this study was not carried out to shot the results of an intervention, these findings suggest the possibility that changing exposure to SHS even over a relatively short period of 3 years can modify the risk of new-onset hypertension.

KEY MESSAGE

1. In this longitudinal study, either new, or sustained secondhand smoke (SHS) exposure, but not former SHS exposure, increased the risk for new-onset hypertension in self-reported and cotinine-verified never smokers.

2. These findings show the possibility that changing exposure to SHS even for a relatively short period can modify the risk of new-onset hypertension in self-reported and cotinine-verified never smokers.

Supplementary Information

Notes

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

References

1. DATA.GO.KR. Korean Health Statistics 2017: Korean National Health and Nutrition Examination Survey (KNHANES VII-2) [Internet]. Cheongju (KR): KDCA; 2015. [cited 2021 Sep 21]. Available from: https://www.data.go.kr/data/3043716/fileData.do.
2. Kim BJ, Han JM, Kang JG, Kim BS, Kang JH. Association between cotinine-verified smoking status and hypertension in 167,868 Korean adults. Blood Press 2017;26:303–310.
3. Kim BJ, Han JM, Kang JG, Rhee EJ, Kim BS, Kang JH. Relationship of cotinine-verified and self-reported smoking status with metabolic syndrome in 116,094 Korean adults. J Clin Lipidol 2017;11:638–645.
4. Kim JH, Kim BJ, Kang JG, Kim BS, Kang JH. Association between cigarette smoking and diabetes mellitus using two different smoking stratifications in 145 040 Korean individuals: self-reported questionnaire and urine cotinine concentrations. J Diabetes 2019;11:232–241.
5. Li N, Li Z, Chen S, Yang N, Ren A, Ye R. Effects of passive smoking on hypertension in rural Chinese nonsmoking women. J Hypertens 2015;33:2210–2214.
6. Seki M, Inoue R, Ohkubo T, et al. Association of environmental tobacco smoke exposure with elevated home blood pressure in Japanese women: the Ohasama study. J Hypertens 2010;28:1814–1820.
7. Wu L, Yang S, He Y, et al. Association between passive smoking and hypertension in Chinese non-smoking elderly women. Hypertens Res 2017;40:399–404.
8. Yang Y, Liu F, Wang L, et al. Association of husband smoking with wife’s hypertension status in over 5 million chinese females aged 20 to 49 years. J Am Heart Assoc 2017;6e004924.
9. Park YS, Lee CH, Kim YI, et al. Association between secondhand smoke exposure and hypertension in never smokers: a cross-sectional survey using data from Korean National Health and Nutritional Examination Survey V, 2010-2012. BMJ Open 2018;8e021217.
10. Freire AP, Ramos D, Leite MR, et al. Influence of time and frequency of passive smoking exposure on mucociliary clearance and the autonomic nervous system. Respir Care 2016;61:453–461.
11. Felber Dietrich D, Schwartz J, Schindler C, et al. Effects of passive smoking on heart rate variability, heart rate and blood pressure: an observational study. Int J Epidemiol 2007;36:834–840.
12. Kim BJ, Kang JG, Kim JH, et al. Association between secondhand smoke exposure and hypertension in 106,268 Korean self-reported never-smokers verified by cotinine. J Clin Med 2019;8:1238.
13. SRNT Subcommittee on Biochemical Verification. Biochemical verification of tobacco use and cessation. Nicotine Tob Res 2002;4:149–159.
14. Messner B, Bernhard D. Smoking and cardiovascular disease: mechanisms of endothelial dysfunction and early atherogenesis. Arterioscler Thromb Vasc Biol 2014;34:509–515.
15. Narkiewicz K, van de Borne PJ, Hausberg M, et al. Cigarette smoking increases sympathetic outflow in humans. Circulation 1998;98:528–534.
16. Hering D, Kucharska W, Kara T, Somers VK, Narkiewicz K. Smoking is associated with chronic sympathetic activation in hypertension. Blood Press 2010;19:152–155.
17. Grassi G, Seravalle G, Calhoun DA, et al. Mechanisms responsible for sympathetic activation by cigarette smoking in humans. Circulation 1994;90:248–253.
18. Johnson RA, Lavesa M, Askari B, Abraham NG, Nasjletti A. A heme oxygenase product, presumably carbon monoxide, mediates a vasodepressor function in rats. Hypertension 1995;25:166–169.
19. Hausberg M, Mark AL, Winniford MD, Brown RE, Somers VK. Sympathetic and vascular effects of short-term passive smoke exposure in healthy nonsmokers. Circulation 1997;96:282–287.
20. Kato M, Roberts-Thomson P, Phillips BG, et al. The effects of short-term passive smoke exposure on endothelium-dependent and independent vasodilation. J Hypertens 1999;17:1395–1401.
21. Argacha JF, Adamopoulos D, Gujic M, et al. Acute effects of passive smoking on peripheral vascular function. Hypertension 2008;51:1506–1511.
22. Kim BJ, Seo DC, Kim BS, Kang JH. Relationship between cotinine-verified smoking status and incidence of hypertension in 74,743 Korean adults. Circ J 2018;82:1659–1665.
23. Wang W, Lee ET, Fabsitz RR, et al. A longitudinal study of hypertension risk factors and their relation to cardiovascular disease: the Strong Heart Study. Hypertension 2006;47:403–409.
24. Dochi M, Sakata K, Oishi M, Tanaka K, Kobayashi E, Suwazono Y. Smoking as an independent risk factor for hypertension: a 14-year longitudinal study in male Japanese workers. Tohoku J Exp Med 2009;217:37–43.
25. Bowman TS, Gaziano JM, Buring JE, Sesso HD. A prospective study of cigarette smoking and risk of incident hypertension in women. J Am Coll Cardiol 2007;50:2085–2092.
26. Tamura T, Kadomatsu Y, Tsukamoto M, et al. Association of exposure level to passive smoking with hypertension among lifetime nonsmokers in Japan: a cross-sectional study. Medicine (Baltimore) 2018;97e13241.

Article information Continued

Figure 1.

Flow chart for sample selection criteria.

Figure 2.

Incidence rates per 10,000 person-year of new-onset hypertension among the four secondhand smoke (SHS) exposure groups. No SHS exposure group was defined as individuals without SHS exposure both at baseline and at follow-up; New SHS exposure group as those without SHS exposure at baseline and with SHS exposure at follow-up; Former SHS exposure group as those with SHS exposure at baseline and without SHS exposure at follow-up; Sustained SHS exposure group as those with SHS exposure both at baseline and at follow-up. PY, person-year. aChi-square test.

Table 1.

Baseline characteristics of the four SHS exposure groups in the overall population

Characteristic No SHS exposure (n = 62,953) New SHS exposure (n = 4,042) Former SHS exposure (n = 14,101) Sustained SHS exposure (n = 6,390) p value
Age, yr 36.3 ± 5.6a,b,c 36.0 ± 5.9a,d,e 35.7 ± 5.6b,d,f 36.6 ± 6.2c,e,f < 0.001
Male sex 18,052 (28.7) 1,414 (35.0) 5,554 (39.4) 2,184 (34.2) < 0.001
Body mass index, kg/m2 22.1 ± 3.0a,b,c 22.6 ± 3.2a 22.5 ± 3.2b,f 22.7 ± 3.3c,f < 0.001
Waist circumference, cm 77.9 ± 8.7a,b,c 79.3 ± 9.1a 79.2 ± 9.1b 79.5 ± 9.1c < 0.001
Systolic blood pressure, mmHg 103.5 ± 11.0a,b,c 104.4 ± 11.2a,d,e 105.2 ± 11.4b,d 103.9 ± 11.2c,e < 0.001
Diastolic blood pressure, mmHg 66.2 ± 8.3a,b,c 66.7 ± 8.4a,d,e 67.2 ± 8.5b,d 67.3 ± 8.4c,e < 0.001
Total cholesterol, mmol/L 4.87 ± 0.83b,c 4.90 ± 0.83 4.90 ± 0.84b 4.92 ± 0.86c < 0.001
Triglycerides, mmol/L 0.85 (0.64–1.19)a,b,c 0.88 (0.66–1.24)a 0.88 (0.66–1.25)b 0.89 (0.66–1.28)c < 0.001
LDL-C, mmol/L 2.92 ± 0.76a,b,c 2.96 ± 0.78a 2.96 ± 0.78b 2.99 ± 0.81c < 0.001
HDL-C, mmol/L 1.60 ± 0.39a,b,c 1.58 ± 0.39a 1.57 ± 0.38b 1.57 ± 0.38c < 0.001
Glucose, mmol/L 5.10 ± 0.56b,c 5.11 ± 0.60e 5.13 ± 0.60b 5.15 ± 0.60c,e < 0.001
HemoglobinA1c, % 5.57 ± 0.33 5.56 ± 0.39 5.56 ± 0.33 5.57 ± 0.36 0.163
Creatinine, μmol/L 69.3 ± 15.4a,b,c 70.6 ± 15.6a,d 72.6 ± 16.1b,d,f 70.9 ± 15.3c,f < 0.001
Uric acid, μmol/L 280.3 ± 78.1a,b,c 290.0 ± 81.7a,d 295.5 ± 83.3b,d,f 288.8 ± 82.5c,f < 0.001
hsCRP, mg/L 0.4 (0.2–0.7)a,b,c 0.4 (0.2–0.8)a 0.4 (0.2–0.8)b 0.4 (0.2–0.8)c < 0.001
Alcohol consumption, g/day 3 (1–6)a,b,c 4 (1–10)a,d,e 4 (2–11)b,d,f 5 (1–14)c,e,f < 0.001
Vigorous exercise (≥ 5 times/week) 3,062/61,842 (3.3) 140/3,966 (3.5) 514/13,874 (3.7) 243/6,277 (3.9) 0.035
Diabetes mellitus 728/62,946 (1.2) 52/4,041 (1.3) 186/14,099 (1.3) 104/6,388 (1.6) 0.007

Values are presented as mean ± standard deviation, number (%), or median (interquartile). Triglyceride, hsCRP, and alcohol consumption were log-transformed for this analysis. p values were based on one-way analysis of variance (ANOVA) or chisquare test.

SHS, secondhand smoke; LDL-C, low density lipoprotein cholesterol; HDL-C, high density lipoprotein cholesterol; hsCRP, high-sensitivity C-reactive protein.

Statistically significant (p < 0.05) by Scheffe’s multiple comparison:

a

no SHS exposure vs. new SHS exposure.

b

No SHS exposure vs. former SHS exposure.

c

No SHS exposure vs. sustained SHS exposure.

d

New SHS exposure vs. former SHS exposure.

e

New SHS exposure vs. sustained SHS exposure.

f

Former SHS exposure vs. sustained SHS exposure.

Table 2.

Multivariable Cox-hazard regression analyses for the effects of SHS exposure on new-onset hypertension in the overall population

Person-years No. of events Incidence rate, 10,000 person-years Hazard ratio (95% confidence interval)
Multivariable model 1 Multivariable model 2
SHS exposure at baseline
 No SHS exposure 201,139 1,737 86.4 1 1
 SHS exposure 63,937 692 108.2 0.95 (0.87–1.05) 0.95 (0.86–1.05)
SHS exposure at follow-up
 No SHS exposure 235,264 2,072 88.1 1 1
 SHS exposure 29,812 357 120.0 1.28 (1.13–1.45)b 1.26 (1.11–1.42)b
SHS exposure change between at baseline and at follow-upc
 No SHS exposure 189,753 1,608 84.7 1 1
 New SHS exposure 11,386 129 113.3 1.30 (1.07 1.59)b 1.29 (1.06–1.57)a
 Former SHS exposure 45,511 464 102.0 0.89 (0.79–1.00) 0.89 (0.79–1.00)
 Sustained SHS exposure 18,426 228 123.7 1.20 (1.03–1.41)a 1.18 (1.01–1.38)a

Multivariable model 1 was adjusted for age, sex, body mass index, waist circumference, vigorous exercise (≥ 5 times/week), alcohol consumption, and presence of diabetes. Multivariable model 2 was adjusted for the variables in model 1 as well as creatinine, uric acid, total cholesterol, high density lipoprotein cholesterol, low density lipoprotein cholesterol, triglycerides, and high-sensitivity C-reactive protein.

SHS, secondhand smoke.

a

p < 0.05.

b

p < 0.01.

c

The reference group was no SHS exposure group. No SHS exposure group was defined as individuals without SHS exposure both at baseline and at follow-up; New SHS exposure group as those without SHS exposure at baseline and with SHS exposure at follow-up; Former SHS exposure group as those with SHS exposure at baseline and without SHS exposure at follow-up; Sustained SHS exposure group as those with SHS exposure both at baseline and at follow-up.

Table 3.

Multivariable Cox-hazard regression analyses for the effects of frequency and duration of SHS exposure at baseline and at follow-up on new-onset hypertension in the overall population

Person-year No. of events Incidence rate, 10,000 person-year Hazard ratio (95% confidence interval)
At baseline
Daily time of SHS exposure
None 201,139 1,737 86.4 1
< 1 houra 12,298 136 110.6 1.57 (1.31–1.89)c
≥ 1 houra 14,320 167 116.6 1.37 (1.15–1.65)c
p for trend < 0.001
Frequency of SHS exposure
None 201,139 1,737 86.4 1
< 3 times/weeka 42,306 445 105.2 0.92 (0.82–1.04)
≥ 3 times/weeka 20,849 238 114.2 1.01 (0.87–1.18)
p for trend 0.588
Duration of SHS exposure
None 201,139 1,737 86.4 1
< 10 yearsa 12,568 125 99.5 0.98 (0.80–1.21)
≥ 10 yearsa 29,302 319 108.9 1.17 (1.02–1.33)b
p for trend 0.032
At follow-up
Daily time of SHS exposure
None 235,264 2,072 88.1 1
< 1 houra 14,620 163 111.5 1.28 (1.07–1.53)b
≥ 1 houra 7,889 102 129.3 1.63 (1.30–2.04)c
p for trend < 0.001
Frequency of SHS exposure
None 235,264 2,072 88.1 1
< 3 times/weeka 19,574 230 117.5 1.16 (0.99–1.35)
≥ 3 times/weeka 10.034 126 125.6 1.49 (1.22–1.83)c
p for trend < 0.001
Duration of SHS exposure
None 235,264 2,072 88.1 1
< 10 yearsa 7,813 89 113.9 1.31 (1.04–1.65)b
≥ 10 yearsa 16,264 209 128.5 1.33 (1.13–1.56)c
p for trend < 0.001

Frequency of SHS exposure is the ordinal variable according to 3-1 questionnaire in Fig. 1. Multivariable model was adjusted for age, sex, body mass index, waist circumference, vigorous exercise (≥ 5 times/week), alcohol consumption, presence of diabetes, creatinine, uric acid, total cholesterol, high density lipoprotein cholesterol, low density lipoprotein cholesterol, triglycerides, and high-sensitivity C-reactive protein.

SHS, secondhand smoke.

a

Reference group is group without SHS exposure.

b

p < 0.05.

c

p < 0.01.

Table 4.

Mean changes of systolic and diastolic blood pressure between at baseline and at follow-up among the four SHS exposure group

No SHS exposure New SHS exposure Former SHS exposure Sustained SHS exposure p value
Overall population (n = 87,486)
 SBP change, mmHg 1.34 ± 0.03a 1.46 ± 0.13 1.03 ± 0.07a 1.3 ± 0.11 0.001
 DBP change, mmHg 0.96 ± 0.03 1.24 ± 0.10 1.06 ± 0.06 1.12 ± 0.08 0.010
Individuals not taking antihypertensive medication (n = 87,109)
 SBP change, mmHg 1.38 ± 0.03a 1.49 ± 0.13 1.07 ± 0.07a 1.38 ± 0.11 0.001
 DBP change, mmHg 0.99 ± 0.03 1.27 ± 0.10 1.09 ± 0.06 1.18 ± 0.08 0.007

Values are presented as mean ± standard error. SBP and DBP changes were defined as SBP at follow-up minus SBP at baseline and DBP at follow-up minus DBP at baseline.

SHS, secondhand smoke; SBP, systolic blood pressure; DBP, diastolic blood pressure.

a

p < 0.05.