An assessment of health status and health behaviours in adolescents: main points and methods of the SOPKARD-Junior programme

Suligowska, Klaudia; Czarniak, Piotr; Krawczyk, Michał; Szcześniak, Przemysław; Król, Ewa; Kusiak, Aida; Sabiniewicz, Robert; Wierzba, Tomasz H.; Utracka, Alicja; Urban, Magdalena; Wytrykowska, Anna; Pakalska, A.; Drewek, Konrad; Giczewska, Anna; Popowski, Piotr; Wrotkowska, Magdalena; Marczulin, Joanna; Bochniak, Mariusz; Zdrojewski, Tomasz

doi:10.5114/aoms.2016.63742

Cited by 5 publications

(7 citation statements)

References 25 publications

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“…None of the subjects examined according to the aforementioned protocol had signs of cardiomyopathy or substantial heart defects. Anthropometric measurements were performed according to the previously described protocol [ 8 ]. Twelve-lead, ten-second electrocardiograms were recorded by medical students after at least four years of medical school and a 2 h practical training session led by a specialist in internal medicine.…”

Section: Methodsmentioning

confidence: 99%

Anthropometric Determinants of Respiratory Sinus Arrhythmia in Children

Lubocka

Sabiniewicz

Suligowska

et al. 2022

IJERPH

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Background: The study was conducted to investigate the implications of anthropometry in school-aged children on the degree of respiratory sinus arrhythmia observed in clinical settings. Methods: In a cohort study, 626 healthy children (52% male) aged 10.8 ± 0.5 years attending primary school in a single town underwent a 12-lead electrocardiogram coupled with measurements of height, weight and blood pressure. Indices of respiratory sinus arrhythmia (pvRSA, RMSSD, RMSSDc) were derived from semi-automatic measurements of RR intervals. Height, weight, BMI, blood pressure as well as waist and hip circumferences were compared between subjects with rhythmic heart rate and respiratory sinus arrhythmia, and correlations between indices of sinus arrhythmia and anthropometry were investigated. Results: Respiratory sinus arrhythmia was recognized in 43% of the participants. Subjects with sinus arrhythmia had lower heart rate (p < 0.001), weight (p = 0.009), BMI (p = 0.005) and systolic (p = 0.018) and diastolic (p = 0.004) blood pressure. There were important inverse correlations of heart rate and indices of sinus arrhythmia (r = −0.52 for pvRSA and r = −0.58 for RMSSD), but not the anthropometry. Conclusion: Lower prevalence of respiratory sinus arrhythmia among children with overweight and obesity is a result of higher resting heart rate observed in this population.

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Section: Methodsmentioning

confidence: 99%

Anthropometric Determinants of Respiratory Sinus Arrhythmia in Children

Lubocka

Sabiniewicz

Suligowska

et al. 2022

IJERPH

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“…The study was conducted as part of the yearly SOPKARD-Junior ( 18 ) program aimed at primary prevention of lifestyle diseases. It was originally addressed to 5th grade students (10–11 years of age) in September 2016 and repeated after 3 years in September 2019.…”

Section: Methodsmentioning

confidence: 99%

Respiratory Sinus Arrhythmia in Children—Predictable or Random?

Lubocka

Sabiniewicz

2021

Front. Cardiovasc. Med.

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Background: Respiratory sinus arrhythmia (RSA) is associated with better health in children.Aim: The study was conducted to analyze the trajectory of RSA in 10-year-olds.Methods: A follow-up study on 120 healthy children (62 boys) aged 10.7 ± 0.5 years consisted of a standard 12-lead electrocardiogram, measurements of height, weight and blood pressure. The protocol was repeated after 3 years. Assessment of RSA based on semi-automatic measurements of RR intervals included: the difference between the longest and shortest RR interval duration (pvRSA), the root mean square of differences between successive RR intervals (RMSSD), the standard deviation of the RR interval length (SDNN) and their equivalents corrected for heart rate (RMSSDc and SDNNc).Results: A the first visit 61.7% of children presented with RSA; 51.7% 3 years later. 23.3% of them had RSA only on the first examination; 13.3% only on the second one. The pvRSA, RMSSD, and SDNN measured in 2019 did not differ significantly from their 2016 equivalents (p > 0.05). The decline in RSA defined by RMSSD was noted in 52.5% of children and in 54.2% when defined by SDNN. The corrected values decreased in 68.3 and 64.2% of the participants for RMSSDc and SDNNc, respectively. The students with RSA at both visits had lower heart rate (p < 0.001) and systolic blood pressure (p = 0.010) compared to those with rhythmic electrocardiograms.Conclusions: RSA in children is changeable, though its measurable indices should be adjusted to heart rate.

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“…Data were collected: a) at baseline, b) 2 months after the yoga intervention, c) 4 months after the intervention and d) 6 months after the intervention. We used wireless Bluetooth 10-lead ECG recorder M-Trace PC (M4Medical, Lublin, Poland) for ECG recording (Suligowska et al, 2018). ECG HRV parameters and HR were used for analysis.…”

Section: Methodsmentioning

confidence: 99%

“…HRV power spectrum was obtained via a fast Fourier transformation (FFT) algorithm using an appropriate software program (Kaunas Load, Lithuanian University of Health Sciences, Institute of Cardiology, Lithuania; Saunoriene et al, 2019). The spectral analysis of HRV was performed using the FFT method in the following bands of frequency: vLF (0.0033-0.04 Hz), LF (0.04-0.15 Hz) and HF (0.15-0.4 Hz; Suligowska et al, 2018).…”

Section: Methodsmentioning

confidence: 99%

Heart Rate Variability Changes in the Integrated Yoga Program: Results and Implications

Bernotienė¹,

Razón²,

Daunoravičienė³

et al. 2020

BJSHS

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Background. Different methods are used to study cardiovascular parameters. Of these, heart rate variability (HRV) is a relevant marker for both athletes and physically active people. With regards to physical activity, yoga has become a popular form of activity in the recent years. In fact, research has indicated that yoga is a useful modality for both the management and prevention of several cardiovascular conditions. The purpose of the current study was to observe HRV dynamics in young women during a 6-month yoga intervention.Methods. We recruited 13 women from multiple yoga studios. All participants were practicing Hatha yoga 2 times a week for 6 months. Data were collected: a) at baseline, b) 2 months after the yoga intervention, c) 4 months after the intervention and d) 6 months after the intervention. We used wireless Bluetooth electrocardiogram (ECG) recording device. ECG HVR parameters and heart rate (HR) were used for data analysis.Results. HR dynamics showed no differences during the 6-month yoga intervention. Meanwhile, vLF parameter after relaxation and LF/HF ratio after body scan meditation significantly changed after yoga intervention. No changes were observed in LF or HF parameter dynamics.Conclusion. Our results suggest that 6 months twice per week yoga practice influences vLF and LF/HF ratio, especially during relaxation and body scan meditation. We also suggest that healthy women could benefit from practicing body scan meditation. In conclusion, through modification of emotion reactivity, regular practice of yoga can help improve stress response and offset negative consequences associated with the stress process.Keywords: yoga, heart rate variability, women’s health, ECG, stress.

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An assessment of health status and health behaviours in adolescents: main points and methods of the SOPKARD-Junior programme

Cited by 5 publications

References 25 publications

Anthropometric Determinants of Respiratory Sinus Arrhythmia in Children

Anthropometric Determinants of Respiratory Sinus Arrhythmia in Children

Respiratory Sinus Arrhythmia in Children—Predictable or Random?

Heart Rate Variability Changes in the Integrated Yoga Program: Results and Implications

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