Abstract

Several studies indicate that the fetal environment plays a significant role in the development of cardiometabolic disease later in life. However, a few studies present conflicting data about the correlation between birth weight and the impairment of cardiac autonomic modulation. The purpose of the present study was to provide further knowledge to elucidate this contradictory relationship. One hundred children aged 5 and 14 years had anthropometric parameters, body composition and blood pressure levels determined. Heart rate variability (HRV) was evaluated by heart rate monitoring, including measurements of both the time and frequency domains. The results showed inverse correlation between the HRV parameters with BMI (RMSSD: P = 0.047; PNN50: P = 0.021; HF: P = 0.041), systolic (RMSSD: P = 0.023; PNN50: P = 0.032) and diastolic (PNN50: P = 0.030) blood pressure levels. On the other hand, there were consistent positive correlations between the HRV parameters and birth weight (RMSSD: P = 0.001; PNN50: P = 0.001; HF: P = 0.002). To determine the effect of birth weight on HRV parameters, we perform multivariate linear regression analysis adjusted for potentially confounding factors (prematurity, gender, age, BMI, physical activity index and SBP levels). These findings were preserved even after adjusting for these confounders. Our results suggested that impaired cardiac autonomic modulation characterized by a reduction in the parasympathetic activity occurs in children with low birth weight. One possible interpretation for these data is that a vagal withdrawal, rather than a sympathetic overactivity, could precede the development of hypertension and other cardiometabolic diseases in children with low birth weight. However, long-term studies should be performed to investigate this possibility.

Highlights

  • Birth weight has been considered an important measure for assessing fetal growth and is an indicator of neonatal morbidity, survival, and development in children [1,2,3]

  • When RMSSD was tested as the dependent variable, we found that only birth weight emerged as independent determinant for this Heart rate variability (HRV) parameter (Table 2)

  • Body mass index (BMI)—Body Mass Index; Waist circumference (WC)—Waist Circumference; Hip circumference (HP)— Hip Circumference; BF—Body Fat; SBP—Systolic Blood Pressure; DBP—Diastolic Blood; heart rate (HR)—Heart Rate; SDNN—Standard Deviation Normal-to-Normal Intervals; RMSSD—Root Mean Square of Successive Differences; pNN50—Percentage of Differences Between Adjacent Normal-to-Normal Intervals that is Greater than 50 Milliseconds; LF (n.u.)—Low Frequency in Normalized Units; HF (n.u.)—High Frequency in Normalized Units

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Summary

Objectives

The purpose of the present study was to provide further knowledge to elucidate this contradictory relationship. The purpose of this study was to conduct a cross-sectional study of children stratified by birth weight quartiles to identify alterations in autonomic function through the analysis of heart rate variability (HRV)

Methods
Results
Conclusion
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