Relation of secondhand smoke exposure to vascular phenotypes in children and adolescents.

BACKGROUND: Subclinical cardiovascular risks of secondhand smoke (SHS) exposure among children and adolescents remains insufficiently described.
METHODS: This was a cross-sectional study of 298 children and adolescents (48.0% male, body mass index: 27.0 ± 8.9 kg/m2), including 49 self-reported cases with SHS. Arterial elasticity and stiffness (distensibility, compliance, incremental elastic modulus [IEM]) were obtained via ultrasound imaging in the abdominal aorta, brachial, and carotid arteries. A one-way analysis of variance compared differences between groups, and multiple linear regression adjusted for covariates.
RESULTS: SHS was associated with lower abdominal aorta diameter distensibility (aDD) (13.4 ± 3.6% vs. 16.0 ± 5.2%, p = 0.009) and abdominal aorta cross-sectional distensibility (aCSD) (28.8 ± 8.3% vs. 35.1 ± 12.2%, p = 0.009), as well as higher abdominal aorta IEM (aIEM) (1241 ± 794 vs. 935 ± 388 mmHg, p = 0.001). After adjustment for covariates, aDD (p = 0.047), aCSD (p = 0.040), and aIEM (p = 0.017) remained significant; this significance persisted with the additional adjustment of percent body fat. Measures of brachial and carotid compliance and distensibility were not associated with SHS.
CONCLUSIONS: SHS was associated with abdominal aorta stiffness; the majority of vascular measures within the brachial and carotid artery remained unaffected following adjustment for covariates, including hypertension and adiposity. SHS may predispose individuals to increased abdominal aorta stiffness, an artery previously reported to exhibit increased susceptibility to atherosclerosis.

INTRODUCTION

Involuntary exposure to environmental, secondhand smoke (SHS) increases cardiovascular disease (CVD) risk among adults,(1) predominately mediated by platelet activation that subsequently causes increased risk of thrombosis formation,(2) endothelial dysfunction,(3–5) arterial stiffness,(6–8) and systemic inflammation.(9) The growing body of evidence on the adverse effects of SHS among nonsmokers has led to increasing momentum for policies advocating for smoke-free environments.(10) Population-level data from the National Health and Nutrition Examination Survey (NHANES) reported a decline in the percentage of nonsmokers with serum cotinine levels between 0.05 to 10 ng/mL from 87.5% in 1988 to 25.2% in 2014.(11) While the restriction of public smoking has substantially decreased SHS exposure, people continue to be exposed, including children.(12) Between 2013 to 2014, the prevalence of secondhand smoke among nonsmokers was significantly higher among children aged 3 to 11 years old as compared to adults older than 20 years old.(11)

Epidemiological studies report that children exposed to SHS are predisposed to having poor mental health,(13) poor cognitive function,(14) neurobehavioral disorders,(15) metabolic syndrome,(16) as well as asthma and various respiratory diseases.(17) Data in adults supports the notion that cardiovascular effects of SHS are similar to active smoking among adults,(1) while the deleterious effect of SHS on cardiovascular health among children and adolescents has been less extensively researched. Children and adolescents exposed to SHS are at increased risk of developing carotid artery atherosclerotic lesions,(18) as well as increased carotid intima-media thickness and decreased brachial flow-mediated dilation (FMD),(19) later in adulthood. Another study reported that young children exposed to SHS displayed elevated blood pressure.(20) The adverse effects of SHS on arterial elasticity, including ultrasound-derived measures of compliance, distensibility, incremental elastic modulus, has yet to be researched among children and adolescents. The purpose of this analysis was to evaluate differences in measures of vascular structure and function within the carotid, brachial, and abdominal aorta among children and adolescents that had a self-reported history of SHS exposure, as compared to unexposed children and adolescents. We hypothesized that children and adolescents exposed to SHS will exhibit greater levels of many subclinical CVD risk factors.

METHODS

Two hundred and ninety-eight participants (143 males) between 8 to 18 years old who participated in a cross-sectional study assessing CVD risk among children and adolescents throughout a range of body mass index (BMI) values were included in this retrospective analysis. Participants were recruited from the University of Minnesota Masonic Children’s Hospital Pediatric Weight Management Clinic, pediatric clinics, and from surrounding communities within the Minneapolis-St. Paul metropolitan area. Exclusion from study participation included obesity due to a genetic cause, bariatric surgery, current use of antihypertensive medications, type 1 diabetes mellitus, history of hypercholesterolemia, chronic kidney disease, Kawasaki disease, autoimmune inflammatory diseases, and congenital heart disease. The Institutional Review Board (IRB) at the University of Minnesota approved this study. All procedures followed IRB and HIPAA guidelines. Parents and participants provided informed consent and assent, respectively.

Determination of Secondhand Smoking Exposure

All participants in this study were non-smokers. Self-reported SHS exposure was dichotomized (yes/no) via a questionnaire selection asking if participants were exposed to environmental tobacco smoke at home.

Anthropometric Measurements

Testing was performed at a clinical research unit at the University of Minnesota, with the participant fasted for at least 12 hours prior to their study visit. Height and body mass were obtained three times via a wall-mounted stadiometer and an electric scale (ST Scale-Tronix, White Plains, New York, USA), and the average of the three trials was recorded. BMI was calculated as body mass in kilograms (kg) divided by height in squared meters (m2). Obesity status was stratified into three categories as defined by BMI percentiles: normal weight (NW; i.e., ≥ 5th to ≥ 85th BMI percentile), overweight/obesity (OW/OB; i.e., ≥ 85th to < 95th BMI percentiles, ≥ 95th % to < 120% of the 95th BMI percentiles), and severe obesity (SO; i.e., ≥ 120% of the 95th BMI percentile, or absolute BMI >35 kg/m2). Dual X-ray absorptiometry (DXA; iDXA: General Electronic Medical Systems, Madison WI, USA) was used to measure body composition; data was analyzed with enCore™ software (software version 16.0). Trained medical providers assessed pubertal maturation using Tanner stages (I-V).

Blood Plasma Lipids and Inflammatory Biomarkers

Blood plasma was collected via an antecubital vein for the measurement of lipids, and oxidized low-density lipoprotein (oxLDL), C-Reactive protein (CRP) and adiponectin were measured at Fairview Diagnostic Laboratories, Fairview University Medical Center (Minneapolis MN, USA). All participants were free from illness and injury two weeks prior to study visit. All plasma samples were stored frozen at −80°C. OxLDL and adiponectin were analyzed at the University of Minnesota Cytokine Reference Laboratory by standard techniques via an enzyme-linked immunosorbent assay. Fairview Diagnostic Laboratories used rate nephelometry to determine CRP values.

Peripheral Blood Pressure

Seated brachial systolic (SBP) and diastolic blood pressure (DBP) were measured on the right arm, and after the participant rested for 10 minutes, via an automated sphygmomanometer (Colin BP-8800, Colin Medical Instruments Corp., San Antonio TX, USA). Blood pressure was measured in triplicate with three-minute intervals between each measure, and the average of the last two measures was recorded. Brachial SBP and DBP percentiles were calculated as based on participant age, sex, and height. Hypertension status was determined by using current guidelines from the American Academy of Pediatrics and stratified into the following categories: normal blood pressure, elevated blood pressure, stage 1 hypertension, and stage 2 hypertension.(21)

Ultrasound-derived Measures of Arterial Elasticity and Stiffness

Participants had vascular images measured in a quiet, temperature-controlled room (22–23°C). Images of the abdominal aorta, left brachial artery, and the left carotid artery were obtained via ultrasound (Acuson, Sequoia 512, Siemens Medical Solutions USA, Inc., Mountain View, CA 94043, USA) with a 8.0–15.0 MHz linear array probe. Following 15 minutes of supine rest, luminal systolic and diastolic diameters of the imaged artery were collected in the longitudinal plane at 20 frames per second for 10 seconds, concurrently with the measurement of peripheral SBP and DBP. The left carotid artery was imaged approximately 1 centimeter (cm) proximal from the carotid bulb, and the brachial artery was imaged 5 to 10 cm proximal to the antecubital fossa; the abdominal aorta was imaged distal to the renal artery and proximal to the iliac bifurcation. All artery images were digitized and stored on a personal computer for analysis using an off-line, electronic wall-tracking software program (Vascular Research Tools 6, Medical Imaging Application, LLC, Iowa City, IA, USA). Mean diameter through the recording was used to calculate both distensibility and compliance. The following calculations were used for arterial distensibility, compliance, and incremental elastic modulus:

Measurement of Endothelial-Dependent Dilation

Endothelial-dependent vasodilation was assessed by brachial FMD. A rapidly inflating occlusion cuff (D.E. Hokanson, Inc., Bellevue, WA, USA) was applied to the left forearm, approximately 5 to 10 cm distal to the antecubital fossa. Brachial artery images were obtained proximal to the antecubital fossa in the longitudinal plane, and the transducer was maintained at a constant pressure and at a fixed point over the left brachial artery with the use of a stereotactic arm. Heart rate (HR) was monitored using a 3-lead electrocardiogram (ECG), with end-diastolic images captured at the R-wave (end-diastole). After obtaining vascular images of the brachial artery at rest, the occlusion cuff was inflated and maintained at a suprasystolic pressure of 200 mmHg for 300 seconds. Continuous imaging of the brachial artery started during the last 20 seconds of occlusion to 180 seconds post-occlusion. Peak FMD was calculated as a 10-second average of the relative percent change from post-occlusion baseline to brachial artery diameter at maximal dilation. Allometric scaling of FMD was performed in the statistical analysis, as proposed by Atkinson.(22)

Measurement of Aortic Blood Pressure and Arterial Stiffness

Radial and carotid arterial waveforms were recorded via applanation tonometry using SphygmoCor™ MM3 software (AtCor Medical, Sydney, Australia). The tonometer was placed over the strongest pulse point on the artery. A minimum of 11 seconds of consistent arterial waveforms were recorded after a strong and reproducible pulse was obtained. Arterial waveforms were calibrated to each participant’s resting brachial blood pressure, and a validated generalized transfer function estimated the corresponding central aortic blood pressure.

Statistical Analysis

IBM SPSS Statistics 23 (IBM Corp. Released 2016, IBM SPSS Statistics for Windows, Version 23, Armonk, NY: IBM Corp) was used for statistical analysis. Data are presented as mean ± standard deviation (SD). Differences in vascular phenotypes between the exposed and unexposed participants were evaluated by a one-way ANOVA, and an analysis of covariance (ANCOVA) adjusted for covariates. Associations between SHS exposure and measures of vascular phenotypes was assed via multiple linear regression, which adjusted for Tanner stage, sex, hypertension status, race, and percent body fat (%BF).

RESULTS

A total of 49 participants had a self-reported history of SHS exposure. Compared to unexposed participants, SHS exposed cases were older (exposed vs. unexposed: 13.6±2.9 years vs. 12.8±2.8 years) and had a higher BMI (33.1±8.6 kg/m2 vs. 25.8±8.4 kg/m2), BMI percentile (93.7±14.0% vs. 76.3±28.7%), %BF (43.9±8.5% vs. 35.8±11.7%), and visceral adipose tissue (886.7±680.4 g vs. 448.2±521.3 g,) (Table 1). Brachial SBP (119±13 mmHg vs. 112±13 mmHg) and DBP (62±8 mmHg vs. 59±9 mmHg) were also higher among the exposed participants. The exposed participants had lower high-density lipoproteins (43.5±16.1 mg/dL vs. 50.6±12.4 mg/dL, p<0.001) and higher triglycerides (118.2±59.7 mg/dL vs. 99.9±49.2 mg/dL).

Table 1.

Cohort demographics and anthropometrics

	Exposed (n=49)	Unexposed (n=249)
Age (years)	13.6±2.9	12.8±2.8
Male sex (n[%])	19 (38.8)	124 (49.8)
Race (n[%])
White	36 (73.5)	221 (88.7)
Black	11 (22.4)	21 (8.4)
Other	2 (4.1)	7 (2.8)
Tanner stage (n [%])
I	5 (10.2)	70 (28.1)
II	10 (20.4)	48 (19.2)
III	12 (24.5)	35 (14.1)
IV	14 (28.6)	50 (20.1)
V	8 (16.3)	45 (18.1)
Body mass (kg)	87.9±31.8	65.7±28.7
Height (cm)	161.1±12.2	156.8±14.4
BMI (kg/m2)	33.1±8.6	25.8±8.4
BMI percentile (%)	93.7±14.0	76.3±28.7
Obesity status (n [%])
Normal weight	6 (12.2)	104 (41.8)
Overweight/Obesity	11 (22.4)	72 (28.9)
Severe obesity	33 (65.3)	73 (29.3)
Hip circumference (cm)	106.6±17.7	93.3±18.4
Waist circumference (cm)	95.4±20.1	78.6±18.1
Lean muscle mass (kg)	46.3±13.9	38.6±13.4
Fat mass (kg)	38.9±19.1	24.6±17.0
Percent body fat (%)	43.9±8.5	35.8±11.7
Visceral adipose tissue (g)	886.7±680.4	448.2±521.3
Systolic blood pressure (mmHg)	119±13	112±12
Diastolic blood pressure (mmHg)	62±8	59±8
Hypertension status (n [%])
Normal blood pressure	28 (57.1)	190 (76.3)
Elevated blood pressure	9 (18.4)	31 (12.4)
Stage I Hypertension	6 (12.2)	13 (5.2)
Stage II Hypertension	6 (12.2)	15 (6.0)
Heart rate (bpm)	75±10	75±11
Total cholesterol (mg/dL)	159.6±28.1	159.8±27.7
Low-density lipoprotein (mg/dL)	92.4±25.0	89.3±25.0
Very low-density lipoprotein (mg/dL)	24.3±12.1	21.1±10.4
High-density lipoprotein (mg/dL)	43.5±16.1	50.6±13.4
Triglycerides (mg/dL)	118.2±59.7	99.9±49.2

Continuous variables are presented as mean ± standard deviation (SD).

Categorical variables (e.g., race, Tanner stage, obesity status, hypertension status) are presented as count (% within column).

Obesity status is presented as normal weight (e.g., ≥5th to <85th BMI percentile), overweight/obesity (e.g., ≥85th to <95th BMI percentile, ≥100% to <120% of the 95th BMI percentile), and severe obesity (e.g., ≥120% of the 95th BMI percentile).

Hypertension status was determined by using the current recommendations from the American Academy of Pediatrics and stratified into the following categories: normal blood pressure, elevated blood pressure, stage I hypertension, and stage II hypertension.

Abbreviations: BMI, body mass index

Unadjusted abdominal aorta diameter distensibility (13.4±3.6% vs. 16.0±5.2%, p=0.009) and abdominal aorta cross-sectional distensibility (28.8±8.3% vs. 35.1±12.2%, p=0.008) were significantly lower among the exposed participants; abdominal aorta incremental elastic modulus was significantly higher (1241±794 mmHg vs. 935±388 mmHg, p=0.001) (Table 2). Carotid-aortic SBP (121±15 mmHg vs. 114±14 mmHg, p=0.026) and DBP (63±8 mmHg vs. 58±8 mmHg, p=0.009) were significantly higher among the SHS exposed participants; similar results were observed for radial-aortic SBP (100±11 mmHg vs. 95±12 mmHg, p=0.030) and DBP (63±9 mmHg vs. 59±9 mmHg, p=0.010). With regard to systemic inflammation, oxLDL was significantly higher among the exposed participants (p=0.044), and adiponectin was significantly lower (p=0.013). SHS exposure was not associated with measures of arterial elasticity, including distensibility, compliance, and incremental elastic modulus, in the brachial and carotid artery. Carotid-radial PWV (p=0.455), as well as FMD (p=0.239), were not significantly different between the unexposed and exposed participants.

Table 2.

Comparisons in vascular structure and function between non-exposed and exposed youth to secondhand smoke

	n	Exposed	n	Unexposed	p-value
Lumen Diameter
Abdominal aorta (mm)	29	10.2±1.9	191	9.6±2.2	0.153
Brachial artery (mm)	40	3.1±0.5	151	3.1±1.0	0.678
Carotid artery (mm)	48	6.5±0.6	238	6.3±0.7	0.150
Incremental elastic modulus
Abdominal aorta (mmHg)	29	1241±794	191	935±388	0.001*
Brachial artery (mmHg)	40	5106±2223	151	4898±2125	0.590
Carotid artery (mmHg)	48	1184±388	238	1008±332	0.078
Diameter distensibility
Abdominal aorta (%)	29	13.4±3.6	191	16.0±5.2	0.009*
Brachial artery (%)	40	3.5±1.2	151	3.8±2.0	0.432
Carotid artery (%)	48	13.1±3.1	238	14.1±7.1	0.336
Cross-sectional distensibility
Abdominal aorta (%)	29	28.8±8.3	191	35.1±12.2	0.008*
Brachial artery (%)	40	7.2±2.4	151	7.7±4.2	0.425
Carotid artery (%)	48	28.1±7.0	238	29.1±7.2	0.364
Diameter compliance
Abdominal aorta (mm/mmHg)	29	0.03±0.01	191	0.03±0.01	0.320
Brachial artery (mm/mmHg)	40	0.002±0.002	151	0.003±0.003	0.890
Carotid artery (mm/mmHg)	48	0.01±0.003	238	0.02±0.008	0.258
Cross-sectional compliance
Abdominal aorta (mm2/mmHg)	29	0.4±0.2	191	0.5±0.2	0.690
Brachial artery (mm2/mmHg)	40	0.01±0.01	151	0.02±0.06	0.654
Carotid artery (mm2/mmHg)	48	0.2±0.05	238	0.02±0.04	0.583
Aortic blood pressure
Carotid-aortic SBP (mmHg)	31	121±15	133	114±14	0.026*
Carotid-aortic DBP (mmHg)	31	63±8	133	58±8	0.009*
Radial-aortic SBP (mmHg)	35	100±11	152	95±12	0.030*
Radial-aortic DBP (mmHg)	35	63±9	152	59±9	0.010*
Carotid-radial PWV (m/s)	48	6.5±1.1	246	6.7±1.6	0.455
FMDpeak (%)	46	8.0±4.0	213	7.2±4.1	0.239
‡FMDpeak (%)	46	5.9±3.1	213	5.6±3.1	0.539
ShearAUC (s−1)	46	2249±539	213	2190±539	0.519
FMDAUC (%/s−1)	46	757±524	213	671±497	0.296
C-reactive protein (mg/L)	48	7.2±9.4	217	5.5±9.0	0.255
Oxidized LDL (units/L)	48	62.5±39.6	238	51.9±31.3	0.044*
Adiponectin (μg/mL)	48	2.9±2.0	239	4.0±2.9	0.013*

Mean ± SD.

Abbreviations: AUC, Area under the curve; DBP, Diastolic blood pressure; FMD, Flow-mediated vasodilation; PWV, Pulse wave velocity; SBP, Systolic blood pressure.

p-values are from Analysis of variance (ANOVA).

Denotes significance (p<0.05).

Denotes allometrically scaled FMD.

Multiple linear regression analysis report that, following adjustment for Tanner stage, sex, race, and hypertension status, SHS exposure was associated with increased abdominal aorta incremental elastic modulus (β=273.7, p=0.004), decreased abdominal aorta distensibility (β=2.2, p=0.025), and decreased abdominal aorta cross-sectional distensibility (β=−5.4, p=0.023) (Table 3). With the additional adjustment of %BF, significance persisted for abdominal aorta incremental elastic modulus (1184±474 mmHg vs. 954±469 mmHg, p=0.017), diameter distensibility (13.9±5.1% vs. 15.9±5.1%, p=0.047), and cross-sectional distensibility (29.9±12.0% vs. 34.9±12.0%, p=0.040) (Figure 1). Differences in carotid-aortic SBP (p=0.399) and DBP (p=0.058), as well as radial-aortic SBP (p=0.617) and DBP (p=0.146), were minimized with adjusted for Tanner stage, sex, race, hypertension status, and %BF; similar results were reported for oxLDL (p=0.440) and adiponectin (p=0.625).

Table 3.

Adjusted associations of secondhand smoking with measures of aortic blood pressure and vascular structure and elasticity

	Model I			Model II
	β	95% CI	p-value	β	95% CI	p-value
Lumen Diameter
Abdominal aorta (mm)	0.3	[−0.4, 1.1]	0.431	0.3	[−0.4, 1.1]	0.376
Brachial artery (mm)	0.1	[−0.2, 0.3]	0.769	0.1	[−0.2, 0.4]	0.602
Carotid artery (mm)	0.1	[−0.1, 0.3]	0.281	0.1	[−0.1, 0.2]	0.731
Incremental elastic modulus
Abdominal aorta (mmHg)	273.7	[87.9, 459.5]	0.004*	230.3	[42.4, 418.2]	0.017*
Brachial artery (mmHg)	173.9	[−577.0, 924.8]	0.648	98.7	[−665.2, 862.3]	0.799
Carotid artery (mmHg)	48.5	[−57.0, 153.9]	0.367	12.3	[−88.4, 124.9]	0.736
Diameter distensibility
Abdominal aorta (%)	−2.2	[−4.2, −0.2]	0.025*	−2.0	[−4.0, −0.0]	0.047*
Brachial artery (%)	−0.2	[−0.9, 0.4]	0.442	−0.2	[−0.9, 0.4]	0.507
Carotid artery (%)	−0.9	[−3.1, 1.1]	0.361	−1.3	[−3.5, 0.8]	0.218
Cross-sectional distensibility
Abdominal aorta (%)	−5.4	[−10.0, −0.7]	0.023*	−5.0	[−9.7, −0.2]	0.040*
Brachial artery (%)	−0.5	[−1.9, 0.8]	0.440	−0.4	[−1.9, 0.9]	0.511
Carotid artery (%)	−0.9	[−3.3, 1.3]	0.404	−1.1	[−3.5, 1.2]	0.356
Diameter Compliance
Abdominal aorta (mm2/mmHg)	−0.001	[−0.005, 0.003]	0.552	−0.001	[−.004, 0.004]	0.924
Brachial artery (mm2/mmHg)	<0.001	[−0.001, 0.001]	0.878	<0.001	[−0.001, 0.002]	0.660
Carotid artery (mm2/mmHg)	−0.001	[−0.003, 0.002]	0.513	−0.001	[−0.003, 0.002]	0.695
Cross-sectional compliance
Abdominal aorta (mm2/mmHg)	−0.018	[−0.100, 0.064]	0.667	−0.007	[−0.088, 0.080]	0.920
Brachial artery (mm2/mmHg)	−0.003	[−0.024, 0.018]	0.792	<0.001	[−0.021, 0.021]	0.921
Carotid artery (mm2/mmHg)	<0.001	[−0.015, 0.014]	0.954	−0.001	[−0.015, 0.014]	0.946
Aortic blood pressure
Carotid-aortic SBP (mmHg)	3.5	[−1.2, 8.3]	0.145	2.0	[−2.7, 6.9]	0.399
Carotid-aortic DBP (mmHg)	2.8	[−0.6. 5.7]	0.055	2.8	[−0.1, 5.8]	0.058
Radial-aortic SBP (mmHg)	2.4	[−1.4, 6.4]	0.219	1.0	[−2.9, 4.9]	0.617
Radial-aortic DBP (mmHg)	2.5	[−0.4, 5.5]	0.100	2.2	[−0.8, 5.3]	0.146
Carotid-radial PWV (m/s)	−0.1	[−0.5. 0.2]	0.427	−0.1	[−0.4, 0.2]	0.544
FMDpeak (%)	0.7	[−0.5. 2.0]	0.252	0.3	[−0.9, 1.6]	0.590
‡FMDpeak (%)	0.3	[−0.6, 1.3]	0.513	−0.1	[−1.0, 0.9]	0.966
ShearAUC (s−1)	52.3	[−131.7, 236.5]	0.576	26.0	[−162.6, 214.6]	0.786
FMDAUC (%/s−1)	93.3	[−62.1, 248.7]	0.238	63.1	[−95.7, 222.0]	0.434
C-reactive protein (mg/dL)	0.8	[−2.0, 3.8]	0.546	−0.7	[−3.5, 1.9]	0.583
Oxidized LDL (units/L)	8.6	[−2.1, 19.3]	0.115	4.1	[−6.4, 14.9]	0.440
Adiponectin (μg/mL)	−0.7	[−1.6, 0.1]	0.078	−2.0	[−1.0, 0.61]	0.625

Data presented are beta and 95% confidence interval estimates for secondhand smoking exposure.

Abbreviations: AUC, Area under the curve; FMD, DBP; Diastolic blood pressure; Flow-mediated vasodilation; PWV, Pulse wave velocity; SBP, Systolic blood pressure.

Model I: Tanner, sex, race, hypertension status, secondhand smoking exposure.

Model II: Tanner, sex, race, hypertension status, secondhand smoking exposure, percent body fat.

Denotes significance (p<0.001).

Denotes allometrically scaled FMD.

Figure 1.

Mean ± standard error (SE). ANCOVA adjusted for Tanner stage, sex, hypertension status, race, and percent body fat. †; Denotes significance (p<0.05).

Adjusted and unadjusted abdominal aorta diameter distensibility, cross-sectional distensibility, and incremental elastic modulus, as stratified by SHS exposure

DISCUSSION

Exposure to SHS among children and adolescents was associated with increased arterial stiffness in the abdominal aorta, while the majority of vascular measures in the carotid and brachial arteries were unaffected. These data suggest that exposure to SHS may predispose children and adolescents to subclinical CVD risk, which may first appear in the abdominal aorta, an artery that previous research has shown to be affected by atherosclerosis earlier than other vascular beds.(23) In addition, both carotid-aortic SBP and DBP, as well as radial-aortic SBP and DBP, were higher among the exposed cases, though differences were minimized after adjustment for covariates.

Mechanisms of vascular disruption from SHS are attributed to toxins that can vary in composition and potency, among which includes nicotine, acrolein, crotonaldehyde, cadmium, lead, and particular matter.(12) While toxins in SHS are more diluted as compared to active smoking, it may be just as harmful due to longer exposure to residual toxins that contain pro-inflammatory, pro-thrombotic, and oxidative properties.(24–26) Past research has observed increased arterial stiffness,(6–8, 27, 28) increased carotid intima-media thickness,(29) decreased endothelial function,(3, 4) and increased coronary artery calcification(30, 31) among nonsmoking adults with SHS exposure. The Young Finns study reported that parental smoking among children and adolescents between the ages of 3 to 18 years old was associated with reduced brachial FMD later in adulthood (28 to 45 years old), suggestive that environmental exposure to tobacco smoke in childhood may induce irreversible impairment in vascular function.(32) In this present study, we report no differences in brachial FMD regardless of SHS exposure. These discrepancies in endothelial function between our study with previous reports may be attributable to differences in the age of the cohorts. While the Young Fins study evaluated the effect of SHS exposure among adults that were exposed during young childhood and adolescence,(32) our study measured brachial FMD among children and adolescents, which is suggestive that impairments in endothelial function may not become apparent until adulthood. Additionally, the Young Finns study observed that children and adolescents with parents that smoked had increased risk of developing carotid artery atherosclerotic lesions in adulthood (average age at follow-up: 36.6. years old).(18) There is also evidence that SHS is detrimental during young childhood, including fetal development.(33–35) A meta-analysis reported that maternal SHS exposure was associated with low birth weight, smaller head circumferences, and congenital anomalies.(36) The current understanding from the literature is that the risk from SHS may be occult during childhood and adolescence, but can predispose such individuals to substantial increased risk of CVD later in adulthood.

The effect of SHS on arterial stiffness has predominately been restricted to analysis of arterial wave reflection to the aorta among adults.(27) Previous reports observed that passive smoking results in increased aortic blood pressure in adults; the increase in augmentation index was only observed among males.(7) Using invasive catheterization, both active smoking and passive SHS resulted in decreased aortic mean distensibility among adults.(8) With regard to children and adolescents, one study reported that higher cotinine concentrations were associated with increased ultrasound-derived measures of aortic Young’s elastic modulus, as well as decreased carotid distensibility.(19) This current study adds to the current literature by providing ultrasound-derived measures of arterial compliance, distensibility, and incremental elastic modulus within the brachial, carotid, and abdominal aorta among a young cohort with varying ages and BMI levels.

We report increased abdominal aorta stiffness among children and adolescents with a self-reported history of SHS exposure. Adjusted measures of abdominal aorta distensibility were significantly lower among the exposed cases. Measures of elasticity and arterial stiffness within the carotid and brachial artery were not significantly affected with SHS exposure. This finding is in agreement with preliminary reports from Kawasaki and colleagues; arterial stiffness increased with age within the abdominal aorta, but not within brachial and femoral arteries.(37) Lanne and colleagues similarly reported regional differences in changes arterial compliance with age; in particular, the abdominal aorta exhibited greater increases in arterial stiffness with age as compared to the carotid artery among Caucasian males.(23) While the current study evaluated the effect of SHS, and not age, on arterial elasticity and stiffness, we similarly report that degenerative changes indicative of increased arteriosclerosis risk occurs first within the deep elastic arteries (i.e., abdominal aorta) prior to the peripheral arteries.

Despite the fact that SHS exposure has declined within the general population during the past 30 years, an estimated 24 million nonsmoking children and adolescents in the United States are currently exposed.(38) Furthermore, it is well recognized that parental smoking is a major contributor of SHS exposure. Racial disparities also persist; the decline in SHS exposure between the years 1999 to 2000 to 2011 to 2012 was substantially less among non-Hispanic Blacks as compared to both non-Hispanic Whites and Hispanic children and adolescents.(38) Strengths of this study include a large sample size, the use of DXA for measures of body composition, and the use of ultrasound imaging for measures arterial elasticity and stiffness within the abdominal aorta, carotid, and brachial artery. A limitation of this analysis was that SHS exposure was self-reported, and the cross-sectional nature prevents us from suggesting causality between SHS and abdominal aorta stiffness. A third limitation was that exposure was dichotomized into exposed and unexposed categories, precluding us from evaluating a dose-response relationship between the duration and frequency of SHS exposure on vascular structure and function.

CONCLUSION

In summary, children and adolescents with self-reported exposure to SHS had greater stiffness in the abdominal aorta, but not other vascular beds, than unexposed children and adolescents. Importantly, this study provides additional evidence supporting the association of smoking with CVD risk during childhood, which may be an ideal timing for active and passive smoking exposure prevention programs to have optimal impact for reducing CVD risk related to smoke exposure.