Childhood Obesity: Does it Have Any Effect on Young Arteries?

Introduction

Prevalence of overweight (OW) and obesity (O) in children and adolescents has increased in both genders in the past three decades (1). Obesity is associated with significantly decreased life expectancy (2), most cardiovascular (CV) deaths are attributed to OW and O (3). Obese children are prone to develop early CV morbidity and are at increased risk for CV mortality during their adult life (4).

Non-invasive measuring of arterial function parameters (AFPs)—such as aortic pulse wave velocity (PWV_ao), aortic augmentation index (Aix_ao) and aortic systolic blood pressure (SBP_ao)—is a widely accepted and recommended in CV risk stratification in adults (5), as these parameters proved to be strong, independent predictors for CV morbidity and mortality (6–8).

Numerous works (cc. 400) (9) were published concerning the relationship between childhood OW/O and arterial stiffness. Evaluating these publications several studies were using local stiffness, measuring regional PWV [e.g., carotid (10–12), radial (13, 14), and tibial (15)]. However, the local and some regional PWV measurements provide information about only the stiffness at the actual point (carotid) and/or a segment (radial, brachial tibial) of the measurement. Furthermore, only carotid-femoral (cfPWV) or PWV_ao proved to be a powerful marker to predict the CV morbidity and mortality in adult humans (8, 16). Therefore, papers where not PWV_ao or cfPWV were measured, we considered irrelevant from our aspect. Furthermore, PWV_ao rises with age, especially after the beginning of puberty in both sexes (17, 18). In this age range, the slope of the increase in the PWV_ao is noticeable, thus merely 2 months difference in age among adolescents shows a marked, significant increase in PWV_ao (18). Consequently, if we would like to compare PWV_ao in OW/O subjects with their N (normal weight) pupils, the identical age should be crucial. Obesity in children and adolescents is characterized by chronic sympathetic overdrive. Sympathetic overactivity occurs in obese patients, as evidence of increased heart rate, blood pressure and cardiac output (19). Moreover, AFPs are strongly influenced by the actual brachial systolic blood pressure (SBP_brach) (20), thus SBP_brach should be the same in the investigated OW/O patients and controls (normal weight, N). After a careful review of the available scientific literature, where the sex ratio of the studied population was given, the mean age and the SBP_brach of OW/O patients and control groups was identical, only the most relevant PWV_ao or cfPWV measurement was performed, no paper fulfilled these rigorous criteria.

Therefore, the aim of our study was to compare the PWV_ao, Aix_ao, SBP_ao, and SBP_brach measured simultaneously in OW/O patients and healthy subjects in a population of the wide age range (3–18 years), where the patients and control groups were accurately matched by age, sex and SBP_brach to eliminate their effects on AFPs. We intended to apply an easy-to-use, user-independent occlusive-oscillometric device, which enabled us to expand AFP measurements even into a very young (from 3 years) and large population.

Materials and Methods

Subjects

6,816 subjects (3,668 boys) aged 3–18 years were recruited from elementary, primary, and high schools in Szolnok town (Hungary) between 2012 and 2016. All the subjects were Caucasian without any chronic diseases, and they were not on any regular medications. Informed consent for the measurements was asked for from the parents of the subjects. The protocol was reviewed and approved by the local Institutional Ethics Committee of the University of Pécs, Pécs, Hungary.

Methods

Anthropometric measurements (body weight and height) of each subject were carried out according to the WHO recommendation (Kern MGB 150K 100 type electronic scale, MSF 200 type steel strip stadiometer, Kern & SOHN GmbH, Germany) (21). Subjects were categorized by their body mass index (BMI) into N (BMI <90 percentile), OW (90 percentile ≤ BMI <98 percentile), and O (BMI ≥ 98 percentile) groups regarding their age and sex as well (22).

A non-invasive, occlusive-oscillometric device (Arteriograph, TensioMed Ltd, Budapest, Hungary) was used to the AFPs measurements, for which the operating procedure, in practice, did not differ from a standard digital blood pressure measurement. Clinical use of the Arteriograph is user-independent, painless and takes only 2 min with a one-cuff method, hence it is well tolerated by the youngest age group as well. Non-invasive and invasive validations and the detailed method of the device have been published previously (23, 24). The device showed the best variance and reproducibility according to comparative studies against applanation tonometry and piezoelectric methods (23). Furthermore, Arteriograph formerly was used in a large cohort to determine the PWV_ao and Aix_ao values (percentiles) in a normal, healthy population aged between 3 and 18 years (18, 25). Since the device is user-independent, interobserver and intraobserver errors of the sternal notch-pubic bone distance measurements are only relevant, which have been published earlier and proved to be well within acceptable limits (18). Measurements were taken after a 10-min rest in a comfortable, supine position at room temperature in kindergartens, elementary, and high schools.

Statistics

Data are reported as mean and SD for continuous data. For statistical tests “p” value < 0.05 was used for significance. Bivariate correlation was used for testing correlations between the measured parameters and to generate the descriptive statistics of the original data. Statistical analysis was performed with the SPSS 23.0.0.0 statistical package (SPSS Inc., Chicago, Illinois, USA) and R (version 3.4.4) MatchIt (version 3.0.2) package.

Propensity Score Analysis

Our data indicated that the distribution of age and sex were significantly different in the different weight categories. Furthermore, strong correlations were observed between the anthropometric, hemodynamic, and arterial function parameters (Supplementary Table 1). To account for the effect of covariates on AFPs propensity score matching was carried out using the “Nearest Neighbor” method with the grouping variable weight (BMI category of N, OW, and O) and SBP_brach, age and sex as variables to match on. The resulting groups contained 911 matched individuals in case of control vs. OW and 445 matched individuals in case of control vs. O cases that had an almost identical distribution of SBP_brach, age and sex. The plot of the mean of each covariate against the estimated propensity score, separately by weight status is shown in Supplemental Digital Content (Supplementary Figure 1).

Results

Totally 6,816 subjects (boys n = 3,668; 53.8%) were involved in this study. Among boys 516 were OW (14.1%), 272 were O (7.4%), whereas in girls 395 (12.5%) were OW and 173 (5.5%) were O. The total prevalence of OW and O was significantly higher in boys (21.5%) than in girls (18%) in girls (p < 0.001). Altogether 19.9% (n = 1 356) of the population were OW/O and 80.1% (n = 5 460) of the participants were N.

Baseline characteristics of the investigated cohorts grouped by age and weight categories are summarized for boys (Table 1) and girls (Table 2). Bodyweight, height, BMI, SBP_brach, diastolic blood pressure (DBP_brach), mean arterial pressure (MAP), pulse pressure (PP) elevated with increasing age in both genders in every weight category, while heart rate (HR) decreased.

TABLE 1

Table 1. Characteristics for boys.

TABLE 2

Table 2. Characteristics for girls.

Mean HR and SBP_brach values showed an increment with increasing BMI categories (Table 3). HR showed a clinically insignificant increased mean value in OW group than in N subjects (79.6 ± 14.1/min vs. 79.5 ± 14.9/min, non-significant). However, the HR was significantly increased in O group compared to N group (82.5 ± 13.5/min vs. 79.5 ± 14.9/min, p < 0.0001). The mean HR values were also significantly different in OW and O groups (79.6 ± 14.1/min vs. 82.5 ± 13.5/min, p < 0.02). Mean SBP_brach was higher in OW, and higher in O patients, than in N subjects (N = 117.7 ± 13.1 mmHg, OW = 125.6 n ± 14.0 mmHg, O = 131.2 ± 15.2 mmHg), the differences were significant between every patient groups (p < 0.0001).

TABLE 3

Table 3. Mean heart rate and SBP_brach values in N/OW/O patients.

Characteristics of the propensity score matched groups and clarified AFPs are summarized in Table 4.

TABLE 4

Table 4. Characteristics of OW and O patients vs. controls and AFP values after propensity score matching.

Mean age was significantly lower in O group (11.8 ± 3.6 ys) compared to OW group (12.7 ± 3.8 ys) (p < 0.001). Sex ratio was the same in the investigated groups. The mean body height was almost the same both in OW and O groups compared to controls, the difference was 0.8 cm (NS, p = 0.39) and 1.6 cm (NS, p = 0.28), respectively. Obviously, the mean body weight was significantly higher in OW and O groups than in controls. Although the O patients were younger, their mean SBP_brach was significantly higher (131.2 ± 15.2 mmHg) than was in OW patients (125.6 ± 14.0 mmHg) (p < 0.0001).

After the elimination of the alternating effects of age, sex and SBP_brach, PWV_ao values were not significantly different between the propensity score matched N patients (5.9 ± 0.8 m/s) and OW patients (5.9 ± 0.8 m/s) and between N patients (6.0 ± 0.7 m/s) and O patients (6.0 ± 0.8 m/s). A significant difference was found between N and OW patients in Aix_ao, namely, in N patients Aix_ao was 9.3 ± 7.4% whereas it was 7.6 ± 7.0% in OW patients (p < 0.00001), and Aix_ao was higher in N subjects (9.7 ± 8.1%) compared to O patients (6.6 ± 7.2%), which difference proved to be statistically significant (p < 0.00001) as well. Regarding SBP_ao no significant difference was found between N and OW (110.7 ± 12.4 mmHg vs. 110.3 ± 11.9 mmHg) subjects. In the same way, the difference was not significant between the SBP_ao values of propensity score matched N and O subjects (115.6 ± 14.0 mmHg vs. 114.3 ± 12.8 mmHg).

Discussion

The most important finding of our study is that no difference was found regarding PWV_ao between N and OW, N and O patients after accounting for the effect of covariates. Furthermore, we observed a marked, significant decrease of Aix_ao in OW, and a markedly more significant decrease in O patients. Finally—similarly to PWV_ao–no differences were found regarding SBP_ao neither in OW, nor in O patients in a properly matched analysis.

PWV_ao

With the use of propensity score analysis, no significant difference was found within the different weight categories regarding PWV_ao. This is in apparent disagreement with previous reports indicated increased PWV_ao in O children and adolescents (26, 27). Analyzing the reference values of PWV_ao measured in children and adolescents (18), it is apparent that the median percentile curve of PWV_ao shows a flat period between the age of three and the beginning of puberty with a steeper increase thereafter in both sexes. Therefore, it is necessary to match the age of the investigated patients and control groups precisely. Only three publications were found in which the mean age of the examined groups were identical (26–28). However, in these studies, SBP_brach differed in the different studied patients' groups, i.e., the SBP_brach was higher in the OW/O groups compared to the controls. It is well known that the PWV_ao is significantly dependent on the SBP_brach (20), namely the higher the SBP_brach, the higher the PWV_ao. Consequently, in these studies, the elevated PWV_ao may originate from increased SBP_brach. Eliminating the possible modifying factors, age, sex, and SBP_brach matched control groups were formed in our study. As a result of this, no significant differences were found regarding PWV_ao. Charakida et al. published data on PWV in children (over 6,000 subjects) with elevated BMI, however, they measured regional (radial) PWV, not aortic. Unfortunately, predicting the value of regional (brachial, radial, tibial) PWV is not established in cardiovascular morbidity and mortality, so it is considered irrelevant from our aspect (13). Lurbe et al. (29) published AFPs data in overweight and obese children, nevertheless, the difference in age between the investigated groups was more than 1 year, which might lead to misinterpretations in the aspect of AFPs (obese 12 ± 2.2 y vs. overweight 13 ± 2.1 y vs. non-obese 13.4 ± 2.6 y).

Aix_ao

Aix_ao a measure of central wave reflection, is strongly associated with peripheral arterial resistance (30), which is determined mainly by the tone of small arteries and arterioles. From the cited three studies (26–28) only Mocnik et al. measured Aix, and they found that the Aix was lower in OW/O patients than in controls (28). Unfortunately, it was not published whether Aix_ao or Aix_brach was measured. Aix_ao and Aix_brach are correlated very strongly, they are basically identical, only the scaling is different between aortic and brachial Aix (24). Thus, Mocnik's findings support our observed results where we have found the Aix_ao to be significantly lower in OW/O patients groups compared to N subjects.

Nevertheless, the enhanced wave reflection in small children is a well-known phenomenon (31), moreover, our working group proved that the increased Aix_ao detected in early childhood can only be caused by the shorter body height (aortic length) (25). Therefore, it is possible, that the observed differences regarding Aix_ao between N, OW and O groups might stem from the differences in body height. As the mean body height was not significantly different between patients and controls—neither in case of OW, nor in O—we might declare that the observed differences regarding Aix_ao are independent of the body height.

Obesity in children and adolescents is characterized by chronic sympathetic overdrive (19). Sympathetic overactivity occurs in obese animals, as evidenced by increased blood pressure, cardiac output, heart rate as well as the activation of the renin-angiotensin-aldosterone system (32). In our study the SBP_brach, the HR was increased in OW patients and it was significantly higher in O subjects than in controls. This finding could be explained by the previously mentioned chronic sympathetic overdrive; consequently, the increased metabolism will cause a remarkable increase in heart rate, stroke volume and cardiac output. Wilkinson et al. have found an inverse linear relationship between HR and Aix_ao (33). Together these findings could explain the observed lower Aix_ao in OW/O patients. Presumably, due to the increased cardiac output and the concomitantly increasing SBP_brach and SBP_ao, the lateral tension toward the aortic wall is also increased, the aorta dilates; thus, the aortic wall becomes stiffer and, as its consequence, the PWV_ao could be higher. To compensate for the effects of increased cardiac output and SBP_ao, the vascular regulation system might lower the vascular resistance by dilating the small arterioles; therefore, decreased Aix_ao could be detected. This finding might be supported by the observations, which revealed increased nitric oxide (NO) level in relation to fat accumulation (34).

SBP_ao

In the overviewed and cited literature SBP_ao has not been measured or published. In our study, after the elimination of the effects of sex, age, and SBP_brach, no significant differences were found regarding SBP_ao in OW/O patients and controls. This observation might originate from the accurately matched SBP_brach (age and sex also) between patient and control groups, consequently, in this age period, the SBP_ao is mainly determined by SBP_brach, without any detectable morphological or functional deterioration of the aortic wall.

Study Limitations

Although the use of BMI is well-known and widely accepted technique to identify overweight and obesity, it might be misleading in some cases, because it does not distinguish fat tissue from muscle tissue, therefore individuals with a considerable muscular system may have increased BMI resulting in “artificial” obesity. In our study, age- and sex-based BMI was used to categories patients, still, other techniques such as skinfold measurements, waist-hip ratio, or bioelectrical impedance analysis would be necessary for more proper weight categorization.

To confirm our theory according to which the sympathetic overdrive in OW/O patients resulting in increased cardiac output and elevated SBP_brach, stroke volume and cardiac output should have been measured by echocardiography in these subjects. In our study, there is a lack of these data, since it was not the aim of this investigation. Detailed history taking on overweight and obesity (onset, duration) and medical history about the closest family members could add relevant information to this study. Finally, there is a lack of lifestyle data (smoking, caffeine intake, eating habits, etc) and detailed laboratory tests (fatty-acid profile, metabolic panel). Future studies of this working group will collect the above-mentioned data in order to elucidate the underlying causes of the observed phenomena and hypothesis.

Conclusions

Our study comprises anthropometric and AFPs data of a huge cohort of N/OW/O subjects. Interestingly, by comparing OW/O population data with the properly matched identical subset of N subjects, we found that OW/O in children and adolescents was not associated with increased aortic stiffness. Based on our results, we may conclude that the pathophysiological consequences in the circulatory system due to childhood OW/O are partially compensated hemodynamically in these patients, presumably by the opening of small arterioles, by decreasing peripheral arteriolar resistance. Therefore, considering our findings we might speculate that OW/O does not have any direct adverse effect on the arterial function in the by us investigated population. However, it must be emphasized, that in general accumulation of adipose tissue raises the blood pressure—as we also presented in this study—resulting in increased cardiovascular risk in the future. Hence, successful lifestyle intervention programs (focusing on weight reduction, cessation of a sedentary lifestyle, sleeping, stress elimination, and relaxation) may lead to the optimization of the CV risks in the affected subjects. Furthermore, it would be important to follow these OW/O patients by monitoring AFPs, to establish the possible period, when the “haemodynamic compensation/adaptation” of the arterial system might switch into deterioration, resulting in early arterial disease.

The moment, when the compensatory functions in OW/O subjects become insufficient is hardly detectable. For this reason, we aim to design further studies to detect the beginning of this unfavorable vascular function changes.

Data Availability Statement

The datasets generated for this study are available on request to the corresponding author.

Ethics Statement

The studies involving human participants were reviewed and approved by Institutional Ethics Committee of the University of Pécs. Written informed consent to participate in this study was provided by the participants' legal guardian/next of kin.

Author Contributions

All authors listed have made a substantial, direct and intellectual contribution to the work, and approved it for publication.

Funding

CB, AJ, ZM, and TK were provided by the National Research, Development and Innovation Office (Hungary, EFOP-3.6.1-16-2016-00008). The state funders played no role in the study design, data collection and analysis, decision to publish, or in the preparation of the manuscript.

Conflict of Interest

MI shares a part in TensioMed Company (Budapest, Hungary), which produces Arteriograph and other medical devices.

The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Acknowledgments

The authors would like to thank István Raskó for comments that greatly improved the manuscript and Gábor Érsek for assistance with data management.

Supplementary Material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fped.2020.00389/full#supplementary-material

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