Cigarette Smoking and Chronic Kidney Disease in African Americans in the Jackson Heart Study
Abstract
Background
Controversy exists regarding the association of cigarette smoking and renal dysfunction, particularly among African Americans, who are disproportionately affected by chronic kidney disease; therefore, we evaluated the relationship between cigarette smoking and rapid renal function (
Methods and Results
Rates of
Conclusions
In a large African American cohort, current cigarette smoking was independently associated with
Introduction
End‐stage renal disease disproportionately affects African Americans, who have 4 times greater risk compared with white Americans.1 The disparity has been largely attributed to higher rates of hypertension, obesity, and diabetes.2 Cigarette smoking may also be an independent risk factor for chronic kidney disease (CKD).3 Cardiovascular and renal diseases are closely linked, and there is abundant evidence that smoking accelerates adverse effects on the cardiovascular system.4, 5
Although recent evidence suggests cigarette smoking may have detrimental effects on renal function,6 this has not been adequately studied, especially in African American populations. Because African Americans are more likely to develop advanced renal dysfunction and known risk factors such as hypertension and diabetes7 than their white counterparts, they may be more susceptible to the potential adverse renal effects of cigarette smoking. Nevertheless, few data are available on the effects of cigarette smoking on renal function in African Americans. The objective of this study was to evaluate the relationship of cigarette smoking and renal function in participants of the Jackson Heart Study, a large African American cohort.
Methods
Study Population
The Jackson Heart Study is the largest single‐site prospective cohort study of cardiovascular disease in African Americans and includes 5301 participants aged 21 to 84 years. Participants were recruited from the tricounty area surrounding Jackson, Mississippi, and were evaluated at baseline from 2000 to 2004. Data were collected for 3 participant examinations and were completed by visit 3 (V3), from 2009 to 2012. The present analysis includes participants (n=3648) with serum creatinine measurements at visit 1 (V1) and V3 to assess renal function and excludes participants with dialysis reported at either V1 or V3 (n=32).
The study was approved by the institutional review board at the University of Mississippi Medical Center. Each participant provided written informed consent. The baseline examination (V1) included a home interview, self‐administered questionnaires, and a clinic visit that included blood and urine collection. Each participant was asked to fast overnight before the clinic visit at which blood pressure and anthropometric measurements were obtained. Blood and urine samples were collected according to the National Committee for Clinical Laboratory standards, as reported previously.8
Study Variables
Estimated glomerular filtration rate (GFR) was assessed using the Chronic Kidney Disease Epidemiology Collaboration (CKD‐EPI) equation9 in which the serum creatinine measurements at V1 were optimally calibrated using a Deming regression model, as described previously.10 Rapid renal function (RRF) decline was defined as an absolute decrease of ≥30% in estimated GFR from V1 to V3.11, 12
Cigarette smoking status was obtained via questionnaire. Participants who smoked >400 cigarettes in their lifetime were defined as ever smokers. Participants who gave a positive response to the question, “Do you now smoke cigarettes?” were classified as current smokers. Those who responded negatively to these questions were classified as never smokers. Participants who were classified as ever smokers who no longer smoked at the time of the examination were classified as past smokers. Further information related to number of cigarettes smoked daily was also collected.
Age, sex, and anthropometric data such as body mass index were recorded at the baseline examination of the Jackson Heart Study. Hypertension was defined as blood pressure ≥140/90 mm Hg or use of blood pressure–lowering medication, and diabetes was defined as fasting glucose ≥126 mg/dL or hemoglobin A1c ≥6.5% or use of diabetic mediation within 2 weeks prior to the clinic visit.8 In addition, total cholesterol was measured from plasma with the use of a cholesterol oxidase method (Roche Diagnostics) on a Roche COBAS FARA centrifugal analyzer, and serum C‐reactive protein (CRP) was measured by the latex particle immunoturbidimetric assay (Roche Diagnostics).
Statistical Analysis
All statistical analyses were performed using SAS 9.4 software (SAS Institute). All P values were 2‐tailed, and a P value <0.05 was considered statistically significant. Baseline characteristics were compared with chi‐square tests or 1‐way ANOVA for the differences among never, past, and current smokers. Poisson regression models were performed for univariate and multivariate analyses to estimate the association between smoking status at V1 and RRF decline from V1 to V3 and to yield incidence rate ratios (IRRs) and 95% CIs. CRP values were transformed using natural logarithms to approximate normal distributions. Univariate and multivariate linear regression were used to model smoking status‐log‐CRP relations in Jackson Heart Study participants.
Results
Overall, 3648 of 5301 participants had creatinine measures at V1 and V3 and were included in our analyses. There were 422 participants identified as current smokers and 659 participants identified as past smokers; 2567 participants were identified as never smokers. Baseline characteristics subdivided by smoking status are listed in Table 1. Current smokers were more likely to be male (P<0.001) compared with never smokers and were likely to be younger (P<0.001) than past smokers. Body mass index was lower in current smokers (P<0.001), who had lower rates of hypertension (P<0.001) and diabetes (P<0.001) than past smokers and higher prevalent cardiovascular disease at V1 (P<0.001) than never smokers. Current smoking was also associated with more alcohol consumption (P<0.001) and less physical activity (P=0.007).
Variable | Never Smokers (n=2567) | Past Smokers (n=659) | Current Smokers (n=422) | P Valuea |
---|---|---|---|---|
Age, y | 53.4±12.5 | 59.3±10.4 | 52.2±10.2 | <0.001 |
Sex, male (%) | 30.6 | 49.8 | 51.2 | <0.001 |
Body mass index | 32.2±7.3 | 31.5±6.4 | 29.5±6.8 | <0.001 |
Ideal health indicator via physical activityb, % | 20.5 | 23.5 | 15.6 | 0.007 |
Alcohol consumption in the past 12 months, % | 42.3 | 52.1 | 73.4 | <0.001 |
Education, less than high school, % | 14.1 | 22.5 | 22.3 | <0.001 |
Prevalent cardiovascular disease at visit 1, % | 6.2 | 13.8 | 10.9 | <0.001 |
Hypertension, % | 55.4 | 66.6 | 53.1 | <0.001 |
Diabetes, % | 17.7 | 24.3 | 15.0 | <0.001 |
Total cholesterol, mg/dL | 199.1±38.9 | 201.2±39.2 | 195.8±40.9 | 0.105 |
High‐sensitivity C‐reactive protein, mg/L | 4.9±7.2 | 4.9±8.0 | 5.1±7.7 | 0.862 |
Current Cigarette Smoking Is Associated With More RRF Decline
After adjustment for age, sex, body mass index, diabetes, hypertension, and total cholesterol, current smokers demonstrated a significantly higher incidence of RRF (IRR 1.86, 95% CI 1.35–2.56) decline compared with never smokers (Table 2). Further analyses (Model 4) were performed with the addition of physical activity, education, alcohol consumption in the past 12 months, and prevalent cardiovascular disease at V1 in the models, and a similar increased IRR was observed for RRF decline in current smokers compared with never smokers (IRR 1.83, 95% CI 1.31–2.56). There was a significant progressive reduction in estimated GFR from V1 to V3 in current, past, and never smokers (Figure).
Model | Smoking Status, Incidence Rate Ratio (95% CI); P Value | |||
---|---|---|---|---|
Past vs Never Smokers | Current vs Never Smokers | Current (1–19 Cigarettes per Day) vs Never Smokers | Current (≥20 Cigarettes per Day) vs Never Smokers | |
Model 1, unadjusted | 1.53 (1.21–1.94); <0.001 | 1.51 (1.14–1.99); 0.004 | 1.35 (0.95–1.91); 0.095 | 1.82 (1.21–2.75); 0.004 |
Model 2, adjusted for age, sex and body mass index | 1.26 (0.99–1.61); 0.059 | 1.90 (1.43–2.54); <0.001 | 1.67 (1.17–2.39); 0.005 | 2.31 (1.50–3.53); <0.001 |
Model 3, includes model 2 plus diabetes, hypertension, total cholesterol | 1.21 (0.94–1.57); 0.147 | 1.86 (1.35–2.56); <0.001 | 1.73 (1.18–2.54); 0.005 | 2.03 (1.23–3.35); 0.005 |
Model 4, includes model 3 plus education, physical activity, prevalent cardiovascular disease, and alcohol consumption in the past 12 months | 1.20 (0.92–1.56); 0.172 | 1.83 (1.31–2.56); <0.001 | 1.75 (1.18–2.59); 0.006 | 1.97 (1.17–3.31); 0.011 |

Figure 1. There is a significant, progressive reduction in
Dose‐Dependent Relationship Between Cigarette Smoking and Incidence of RRF Decline
After subdividing current smokers into those who smoked 1 to 19 and ≥20 cigarettes daily, there was an increased rate of RRF decline in both groups. The rate was higher as daily cigarette use increased (Table 2) (IRR 1.75, 95% CI 1.18–2.59 and IRR 1.97, 95% CI 1.17–3.31 for 1–19 and ≥20 cigarettes daily, respectively).
Current Smoking Is Associated With Increased Systemic Inflammation
High‐sensitivity CRP was assessed at V1 for all participants. After adjustment for covariates, natural log–transformed CRP values were analyzed with the linear regression model to determine the effect of current and past smoking on CRP levels. Current smokers had 1.38‐fold higher CRP levels compared with never smokers, and past smokers had 1.10‐fold higher CRP levels after controlling for covariates (Table 3). This relationship was also dose dependent because number of cigarettes smoked daily was associated with higher CRP levels after controlling for covariates.
Model | Smoking Status, Fold Change (95% CI); P Value | |||
---|---|---|---|---|
Past vs Never Smokers | Current vs Never Smokers | Current (1–19 Cigarettes per Day) vs Never Smokers | Current (≥20 Cigarettes per Day) vs Never Smokers | |
Model 1, unadjusted | 1.02 (0.92–1.13); 0.733 | 1.07 (0.94–1.22); 0.306 | 1.09 (0.94–1.28); 0.261 | 1.04 (0.84–1.28); 0.743 |
Model 2, adjusted for age, sex, and body mass index | 1.13 (1.03–1.25); 0.012 | 1.46 (1.30–1.63); <0.001 | 1.39 (1.21–1.59); <0.001 | 1.63 (1.35–1.97); <0.001 |
Model 3, includes model 2 plus diabetes, hypertension, and total cholesterol | 1.12 (1.01–1.23); 0.034 | 1.45 (1.28–1.63); <0.001 | 1.38 (1.20–1.59); <0.001 | 1.64 (1.34–1.99); <0.001 |
Model 4, includes model 3 plus education, physical activity, prevalent cardiovascular disease, and alcohol consumption in the past 12 months | 1.10 (1.00–1.22); 0.054 | 1.38 (1.22–1.57); <0.001 | 1.33 (1.15–1.53); <0.001 | 1.55 (1.26–1.90); <0.001 |
Discussion
Findings of this study from a large African American cohort show that current cigarette smoking is associated with an increased incidence of RRF decline compared with never smoking. Furthermore, daily cigarette exposure was dose‐dependently associated with an increased incidence of RRF decline. Current smoking was also associated with elevated CRP levels, suggesting that inflammation may contribute to renal dysfunction.
In a cross‐sectional analysis of 7476 participants from the PREVEND (Prevention of REnal and Vascular ENd stage Disease) study, investigators found that current smokers had more albuminuria than nonsmokers. In participants who smoked >20 cigarettes daily, there were dose‐dependent associations between smoking and high normal albuminuria (relative risk 1.33), elevated GFR (relative risk 1.82), and decreased GFR (relative risk 1.53).13 In a study of >65 000 Norwegians followed for a median of 10.3 years, former and current smoking were significantly associated with the risk of kidney failure compared with never smoking (hazard ratios of 3.32 and 4.01, respectively).14 In a retrospective case–control study of 4142 nondiabetic participants (aged >65 years) of the Cardiovascular Health Study Cohort, there was an increased risk of serum creatinine rise (0.3 mg/dL) with increased tobacco usage, suggesting a dose‐dependent effect of cigarette smoking; however, only ≈3% of the studied population experienced an increase in serum creatinine over the 3‐year time period.15 In a large prospective study of 23 534 men and women from Washington County, Maryland, followed for 20 years, current smoking was significantly associated with risk of CKD in both men and women (hazard ratio of 2.6 for the total population) and accounted for 31% of the attributable risk of CKD in this population.16 A major drawback of this study is that 99% of participants were white.
Our findings corroborate the association between current cigarette smoking and an increased risk of CKD observed in other populations. To our knowledge, this analysis is the first reported from a prospective study of African American participants to evaluate this dose‐response relationship. African Americans are disproportionately affected by CKD.1 This disparity has been attributed to higher rates of hypertension and diabetes in African Americans compared with white Americans, but it appears that other unexplained factors may play a role. Because African Americans may be predisposed to develop renal dysfunction and have higher incidence of known CKD risk factors such as hypertension and diabetes, they may be more susceptible to the adverse effects of cigarette smoking, especially if smoking interacts synergistically with these known risk factors.
We assessed the relationship between cigarette smoking and a commonly measured inflammatory marker, CRP, to determine possible mechanisms by which smoking may cause renal dysfunction. Both current and past smoking were associated with higher CRP levels. Several large cohort studies including the Chronic Renal Insufficiency Cohort (CRIC), the Framingham Offspring cohort, and the Multi‐Ethnic Study of Atherosclerosis (MESA) have demonstrated a negative association between CRP and renal function.17, 18, 19 Our findings build on these studies by demonstrating a positive relationship between cigarette smoking exposure and levels of CRP. Inflammation may mediate the effect of smoking to cause renal dysfunction. Some of the potential mechanisms by which inflammation may contribute to renal dysfunction include increased oxidative stress, endothelial dysfunction, and atherogenesis.20, 21, 22 Further studies are needed to determine whether inflammatory markers such as CRP are helpful in predicting which patients who smoke are at increased risk of kidney damage and should be considered for therapies such as statin drugs in addition to recommending smoking cessation.
According to the Centers for Disease Control and Prevention, 17.5% of African Americans smoke cigarettes.23 Although African Americans are less likely to smoke compared with white Americans, metabolism of substances in cigarettes differs in African Americans compared with other ethnic groups.24 Specifically, differences in CYP2A6 enzyme activity, nicotine and cotinine glucuronidation, and cotinine clearance have been reported in African Americans compared with white Americans.25, 26 Cotinine clearance significantly influences the metabolism of nicotine to cotinine, and Benowitz et al reported that it is 25% lower in African Americans. In addition, the flavoring additive menthol moderately inhibits CYP2A6‐mediated nicotine metabolism,27 and menthol cigarettes are popular with African American cigarette smokers.28, 29 Menthol cigarette use has been associated with increased concentrations of blood cadmium, and exposure to low levels of cadmium has been associated with renal tubular damage.30, 31
Our study has several key strengths. To our knowledge, this is the first prospective study to demonstrate a dose relationship between cigarette smoking and renal function decline in a large African American cohort. As discussed, this is important because of the prevalence of smoking among African Americans and their higher rates of CKD and end‐stage renal disease. Renal function was assessed using the CKD‐EPI equation instead of the Modification of Diet in Renal Disease equation. The CKD‐EPI equation has been shown to be a better predictor of renal disease risk compared with the Modification of Diet in Renal Disease equation and appears to be more accurate for African Americans.32 We also demonstrated a potential mechanism by which cigarette smoke may contribute to renal dysfunction.
Our study has a few limitations. The type of cigarettes that the participants smoked was not available for analysis. We currently do not have levels of cotinine available to directly measure cigarette smoking exposure. In addition, GFR was estimated based on serum creatinine levels instead of direct measurements such as iothalamate clearance; however, this is an inherent limitation of most large prospective studies. Nicotine has also been associated with hyperfiltration, which makes interpretation of renal function more difficult. We observed higher baseline estimated GFR in current smokers, consistent with previous observations.13, 33 Given this confounding observation, we used the rate of renal decline as a marker of cigarette smoking–induced renal dysfunction. Pinto‐Sietsma and colleagues observed both decreased and increased estimated GFR in smokers.13 They hypothesized this may be related to smoking‐induced renal hypoperfusion and glomerular damage with compensatory glomerular hypertrophy and hyperfiltration. Others have suggested that smoking‐induced renal injury may follow a pattern similar to obesity‐induced renal dysfunction, which is often initially associated with glomerular hyperfiltration.33 Finally, our data were obtained from an African American cohort and may not be generalizable to other ethnic groups.
Cigarette smoking is a widely recognized risk factor for cardiovascular disease, and aggressive antismoking campaigns have been successful in increasing awareness of this relationship. The detrimental effects of cigarette smoking on kidney disease are less well established, and there is subsequently less emphasis placed on tobacco cessation for renal patients without overt cardiovascular disease. Our data show that current cigarette smoking is independently associated with RRF decline in a large African American cohort, and this relationship is dose dependent. There was also evidence of increased inflammation (CRP) in current smokers, suggesting a potential mechanism for these relationships. Based on these observations, cigarette smoking should be considered as a strong risk factor for renal dysfunction and CKD, and smoking cessation should be recommended for current cigarette smokers, particularly those with risk factors for CKD.
Acknowledgments
The authors would like to thank the participants of the Jackson Heart Study for their time and participation.
Sources of Funding
This research was supported by grant 1P50HL120163‐01 from the National Institutes of Health (NIH)/National Heart, Lung and Blood Institute and the FDA Center for Tobacco Products. The Jackson Heart Study is supported by contracts HHSN268201300046C, HHSN268201300047C, HHSN268201300048C, HHSN268201300049C, HHSN268201300050C from the National Heart, Lung, and Blood Institute and the National Institute on Minority Health and Health Disparities. Michael Hall has been funded by an American Heart Association Scientist Development Grant 14SDG20490339 and is now funded by an NIH/National Institutes of Diabetes and Digestive and Kidney Diseases (NIDDK) grant 1K08DK099415‐01A1. This study was also supported by Dr Young's NIH/National Institutes of Diabetes and Digestive and Kidney Diseases grant 1R01DK102134‐01. Dr Young is also supported in part by funding from the Veterans Affairs Puget Sound Health Care System. The Veterans Affairs does not endorse any of the statements or opinions advocated by this manuscript. None of the authors has any conflicts of interest to disclose.
Disclosures
None.
Footnotes
References
- 1 United States Renal Data System: USRDS 2000 annual data report. Bethesda, MD: National Institutes of Health, National Institute of Diabetes and Digestive and Kidney Diseases; 2000.Google Scholar
- 2 Tarver‐Carr ME, Powe NR, Eberhardt MS, Laveist TA, Kingston RS, Coresh J. Excess risk of chronic kidney disease among African‐American versus White subjects in the United States: a population‐based study of potential explanatory factors. J Am Soc Nephrol. 2002; 13:2363–2370.Google Scholar
- 3 Klag MJ, Whelton PK, Randall BL, Neaton JD, Brancati FL, Ford CE, Shulman NB, Stamler J. Blood pressure and endstage renal disease in men. N Engl J Med. 1996; 334:13–18.Google Scholar
- 4 Chronic Kidney Disease Prognosis Consortium , Matsushita K, van Velde M, Astor BC, Woodward M, Levey AS, de Jong PE, Coresh J, Gansevoort RT. Association of estimated glomerular filtration rate and albuminuria with all‐cause and cardiovascular mortality in general population cohorts: a collaborative meta‐analysis. Lancet. 2010; 375:2073–2081.Google Scholar
- 5 Willett WC, Green A, Stampfer MJ. Relative and absolute excess risks of coronary heart disease among women who smoke cigarettes. N Engl J Med. 1987; 317:1303–1309.Google Scholar
- 6 Orth SR, Hallan SI. Smoking: a risk factor for progression of chronic kidney disease and for cardiovascular morbidity and mortality in renal patients‐absence of evidence of evidence of absence. Clin J Am Soc Nephrol. 2008; 3:226–236.Google Scholar
- 7 Bakris GL, Williams M, Dworkin L, Elliott WJ, Epstein M, Toto R, Tuttle K, Douglas J, Hsueh W, Sowers J; for the National Kidney Foundation Hypertension and Diabetes Executive Committees Working Group . Preserving renal function in adults with hypertension and diabetes: a consensus approach. Am J Kidney Dis. 2000; 36:646–661.Google Scholar
- 8 Carpenter MA, Crow R, Steffes M, Rock W, Heilbraun J, Evans G, Skelton T, Jensen R, Sarpong D. Laboratory, reading center, and coordinating center data management methods in the Jackson Heart Study. Am J Med Sci. 2004; 328:131–144.Google Scholar
- 9 Levey AS, Stevens LA, Schmid CH, Zhang YL, Castro AF, Feldman HI, Kusek JW, Eggers P, Van Lente F, Greene T, Coresh J; CKD‐EPI (Chronic Kidney Disease Epidemiology Collaboration) . A new equation to estimate glomerular filtration rate. Ann Intern Med. 2009; 150:604–612.Google Scholar
- 10 Wang W, Young BA, Fülöp T, de Boer IH, Boulware LE, Katz R, Correa A, Griswold ME. Effects of serum creatinine calibration on estimated renal function in African Americans: the Jackson Heart Study. Am J Med Sci. 2015; 349:379–384.Google Scholar
- 11 Coresh J, Turin TC, Matsushita K, Sang Y, Ballew SH, Appel LJ, Arima H, Chadban SJ, Cirillo M, Djurdjev O, Green JA, Heine GH, Inker LA, Irie F, Ishani A, Ix JH, Kovesdy CP, Marks A, Ohkubo T, Shalev V, Shankar A, Wen CP, de Jong PE, Iseki K, Stengel B, Gansevoort RT, Levey AS; CKD Prognosis Consortium . Decline in estimated glomerular filtration rate and subsequent risk of end‐stage renal disease and mortality. JAMA. 2014; 311:2518–2531.Google Scholar
- 12 Shlipak MG, Katz R, Kestenbaum B, Siscovick D, Fried L, Newman A, Rifkin D, Sarnak MJ. Rapid decline of kidney function increases cardiovascular risk in the elderly. J Am Soc Nephrol. 2009; 20:2625–2630.Google Scholar
- 13 Pinto‐Sietsma SJ, Mulder J, Janssen WM, Hillege HL, de Zeeuw D, de Jong PE. Smoking is related to albuminuria and abnormal renal function in nondiabetic persons. Ann Intern Med. 2000; 133:585–591.Google Scholar
- 14 Hallan SI, Orth SR. Smoking is a risk factor in the progression to kidney failure. Kidney Int. 2011; 80:516–523.Google Scholar
- 15 Bleyer AJ, Shemanski LR, Burke GL, Hansen KJ, Appel RG. Tobacco, hypertension, and vascular disease: risk factors for renal functional decline in an older population. Kidney Int. 2000; 57:2072–2079.Google Scholar
- 16 Haroun MK, Jaar BG, Hoffman SC, Comstock GW, Klag MJ, Coresh J. Risk factors for chronic kidney disease: a prospective study of 23,534 men and women in Washington County, Maryland. J Am Soc Nephrol. 2003; 14:2934–2941.Google Scholar
- 17 Gupta J, Dominic EA, Fink JC, Ojo AO, Barrows IR, Reilly MP, Townsend RR, Joffe MM, Rosas SE, Wolman M, Patel SS, Keane MG, Feldman HI, Kusek JW, Raj DS; CRIC Study Investigators . Association between inflammation and cardiac geometry in chronic kidney disease: findings from the CRIC study. PLoS One. 2015; 10:e0124772.Google Scholar
- 18 Levitzky YS, Guo CY, Rong J, Larson MG, Walter RE, Keaney JF, Sutherland PA, Vasan A, Lipinska I, Evans JC, Benjamin EJ. Relation of smoking status to a panel of inflammatory markers: the Framingham offspring. Atherosclerosis. 2008; 20:217–224.Google Scholar
- 19 Hiramoto JS, Katz R, Peralta CA, Ix JH, Fried L, Cushman M, Siscovick D, Palmas W, Sarnak M, Shlipak MG. Inflammation and coagulation markers and kidney function decline: the Multi‐Ethnic Study of Atherosclerosis (MESA). Am J Kidney Dis. 2012; 60:225–232.Google Scholar
- 20 Cottone S, Palermo A, Vaccaro F, Vadala A, Buscemi B, Cerasola G. Oxidative stress and inflammation in long‐term renal transplanted hypertensives. Clin Nephrol. 2006; 66:32–38.Google Scholar
- 21 Perticone F, Maio R, Tripepi G, Zoccali C. Endolethial dysfunction and mild renal insufficiency in essential hypertension. Circulation. 2004; 110:821–825.Google Scholar
- 22 Papagianni A, Kalovoulos M, Kirmizis D, Vainas A, Belechri AM, Alexopoulos E, Memmos D. Carotid atherosclerosis is associated with inflammation and endothelial cell adhesion molecules in chronic haemodialysis patients. Nephrol Dial Transplant. 2003; 18:113–119.Google Scholar
- 23 Current Cigarette Smoking Among Adults‐United States 2005–2014. Centers for Disease Control and Prevention (CDC). MMWR Morb Mortal Wkly Rep. 2015; 64:1233–1240.Google Scholar
- 24 White HR, Nagin D, Replogle E, Stouthamer‐Loeber M. Racial differences in trajectories of cigarette use. Drug Alcohol Depend. 2004; 76:219–227.Google Scholar
- 25 Fukami T, Nakajima M, Yamanaka H, Fukushima Y, McLeod HL, Yokoi T. A novel duplication type of CYP2A6 gene in African‐American population. Drug Metab Dispos. 2004; 35:515–520.Google Scholar
- 26 Benowitz NL, Perez‐Stable EJ, Fong I, Modin G, Herrera B, Jacob P. Ethnic differences in N‐glucuronidation of nicotine and cotinine. J Pharmacol Exp Ther. 1999; 291:1196–1203.Google Scholar
- 27 MacDougall JM, Fandrick K, Zhang X, Serafin SV, Cashman JR. Inhibition of human liver microsomal (S)‐nicotine oxidation by (−)‐menthol and analogues. Chem Res Toxicol. 2003; 16:988–993.Google Scholar
- 28 Cubbin C, Soobader MJ, LeClere FB. The intersection of gender and race/ethnicity in smoking behaviors among menthol and non‐menthol smokers in the United States. Addiction. 2010; 105(suppl 1):32–38.Google Scholar
- 29 Kasza KA, Hyland AJ, Bansal‐Travers M, Vogl LM, Chen J, Evans SE, Fong GT, Cummings KM, O'Connor RJ. Switching between menthol and nonmenthol cigarettes: findings from the U.S. Cohort of the International Tobacco Control Four Country Survey. Nicotine Tob Res. 2014; 16:1255–1265.Google Scholar
- 30 Jones MR, Apelberg BJ, Tellez‐Plaza M, Samet JM, Navas‐Acien A. Menthol cigarettes, race/ethnicity, and biomarkers of tobacco use in U.S. adults: the 1999–2010 National Health and Nutrition Examination Survey (NHANES). Cancer Epidemiol Biomarkers Prev. 2013; 22:224–232.Google Scholar
- 31 Järup L, Hellström L, Alfvén T, Carlsson MD, Grubb A, Persson B, Pettersson C, Spång G, Schütz A, Elinder CG. Low level exposure to cadmium and early kidney damage: the OSCAR study. Occup Environ Med. 2000; 57:668–672.Google Scholar
- 32 Matsushita K, Mahmoodi BK, Woodward M, Emberson JR, Jafar TH, Jee SH, Polkinghorne KR, Shankar A, Smith DH, Tonelli M, Warnock DG, Wen CP, Coresh J, Gansevoort RT, Hemmelgarn BR, Levey AS; Chronic Kidney Disease Prognosis Consortium . Comparison of risk prediction using the CKD‐EPI equation and the MDRD study equation for estimated glomerular filtration rate. JAMA. 2012; 307:1941–1951.Google Scholar
- 33 Maeda I, Hayashi T, Sato KK, Koh H, Harita N, Nakamura Y, Endo G, Kambe H, Fukada K. Cigarette smoking and the association with glomerular hyperfiltration and proteinuria in healthy middle‐aged men. Clin J Am Soc Nephrol. 2011; 6:2462–2469.Google Scholar
eLetters(0)
eLetters should relate to an article recently published in the journal and are not a forum for providing unpublished data. Comments are reviewed for appropriate use of tone and language. Comments are not peer-reviewed. Acceptable comments are posted to the journal website only. Comments are not published in an issue and are not indexed in PubMed. Comments should be no longer than 500 words and will only be posted online. References are limited to 10. Authors of the article cited in the comment will be invited to reply, as appropriate.
Comments and feedback on AHA/ASA Scientific Statements and Guidelines should be directed to the AHA/ASA Manuscript Oversight Committee via its Correspondence page.