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CLINICAL STUDY PROTOCOL article

Front. Pediatr., 27 August 2018
Sec. Children and Health
This article is part of the Research Topic Exercise in Pediatric Medicine View all 16 articles

Web-Based Motor Intervention to Increase Health-Related Physical Fitness in Children With Congenital Heart Disease: A Study Protocol

\r\nMichael Meyer,Michael Meyer1,2Adalheidur HreinsdottirAdalheidur Hreinsdottir3Anna-Luisa Hcker,Anna-Luisa Häcker1,2Leon BrudyLeon Brudy2Renate OberhofferRenate Oberhoffer2Peter EwertPeter Ewert1Jan Müller,*Jan Müller1,2*
  • 1Department of Pediatric Cardiology and Congenital Heart Disease, Deutsches Herzzentrum München, Technische Universität München, Munich, Germany
  • 2Department of Sport and Health Sciences, Institute of Preventive Pediatrics, Technische Universität München, Munich, Germany
  • 3Costner, Reykjavik, Iceland

Objective: Exercise interventions are underutilized in children with congenital heart disease (CHD) especially when the primary outcome is not peak oxygen uptake. Most of the studies are restricted to a low sample size and proximity of the patients to the study centers. Now eHealth approaches bear a promising but also challenging opportunity to transmit such intervention programs to participants, and check progress and compliance from remote. This study will aim to improve health-related physical fitness (HRPF) with a 24 weeks web-based exercise intervention.

Methods and Design: The current study is planned as a randomized control trial (RCT) with a crossover design and the aim to improve functional outcome measures. It also estimates adherence and feasibility in patients with CHD in this web-based exercise/motor intervention over 24 weeks. Primary outcome will be the improvement of HRPF. Secondary outcomes are, functional and structural arterial stiffness measures and health-related quality of life. Thus, 70 children from 10 to 18 years with CHD of moderate and complex severity will be recruited and allocated randomly 1:1 in two study arms after baseline testing for their HRPF, arterial stiffness measures and health-related quality of life. For 24 weeks, participants in the intervention arm will receive three weekly exercise video clips of 20 min each. Every video clip comprises 20 child-oriented exercises which have to be executed for 30 s followed by a recovery period of 30 s. Each session will start with 3–4 warming-up exercises, followed by 10–12 strength and flexibility exercises, and ending with 3–4 min of cool down or stretching tasks. Continuous video clips will be streamed from a web-based e-Learning platform. The participant simply has to imitate the execution and follow some short advices. After each session, a brief online survey will be conducted to assess perceived exertion and feasibility.

Discussion: The study will help to determine the efficacy and applicability of a web-based exercise intervention in children with CHD in regard to functional outcome measures. In addition, it will outline the effectiveness of remote monitoring, which provides a cost effective approach to reach patients with CHD that are low in prevalence and often do not live in close proximity to their tertiary center.

Trial Registration: https://ClinicalTrials.gov Identifier: NCT03488797.

Background

Children with congenital heart disease (CHD) show reduced motor competence or motor ability (14) as well as limitations in fine and gross motor skills (57). These skill-based limitations from early infancy are tracked into adulthood with further negative effect on health-related physical fitness (HRPF) and muscle strength (811). That those limitations still exist in the vast majority of children with CHD outline recent projects on health-related physical fitness (HRPF) and cardiovascular health (1217).

These circumstances should in general be a reason to worry and a starting signal for exercise promotions and interventions to overcome such deficits to facilitate normal social integration and school sport participation as early as possible. Unfortunately, a review from 2013 outlines that exercise interventions are still underutilized, because of the relatively low prevalence of single types of CHD and the proximity to the study centers (18). One drawback is that the primary outcome of those studies always refers to improvements in peak oxygen uptake, while any forms of motor-related competences are of minor interest. This is probably the case, because motor-related competences do not represent a hard clinical endpoint like parameters derived from cardiopulmonary exercise testing (1921). Another drawback refers to the willingness and availability of the parents to escort their children to the study centers.

Within the last years, digitalization has also shaped the field of medicine and many studies on eHealth and communication technology–based interventions for promoting physical activity (PA) show remarkable results (22). The new appealing possibility to transmit, conduct and control interventions from remote is also promising for studies in the field of patients with CHD. It is now possible to involve children with long distance to the study center to realize studies that otherwise would fail due to sample size. Currently children and adolescents grow up to be “digital natives” which are even more familiar in handling and executing app-based tasks, than dealing with paperwork. In addition, communication via social media platforms becomes more and more appropriate to monitor the study progress and maintain study compliance, instead of classic phone calls.

In patients with CHD, eHealth is largely unexplored with only one published study on physical exercise on aerobic fitness so far (23, 24). Therefore, we have launched a randomized controlled trial (RCT) that aims to improve functional outcome measures, primarily HRPF, in children and adolescents with CHD via a tailored web-based exercise/motor intervention over 24 weeks. That article describes the study protocol in detail.

Methods

Design and Participants

The current study is planned as a randomized control trial (RCT) with a crossover design and the purpose to improve functional outcome measures in patients with CHD via a web-based exercise/motor intervention over 24 weeks. The treatment scheme and data collection is presented in Figure 1. According to the inclusion and exclusion criteria outlined in Table 1, 70 children will be recruited and allocated randomly 1:1 in the two study arms after baseline testing. After 24 weeks, there will be a re-assessment of the clinical measurements.

FIGURE 1
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Figure 1. Study design and intervention scheme.

TABLE 1
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Table 1. Inclusion and exclusion criteria.

The accordance of the Declaration of Helsinki (revision 2008) and the Good Clinical Practice Guidelines is the basis of this upcoming study. The study protocol is already approved by the ethical board of the Technical University of Munich (project number: 130/17S). All children and their guardians will provide written informed consent. The trial is already registered at https://ClinicalTrials.gov (NCT03488797).

Intervention

The motto of the exercise/motor intervention is “One Hour a Week, Brings Mobility, Power and Speed” which refers to the weekly training volume of 60 min. These 60 min are separated into 3 weekly sessions of 20 min each. The intervention is set up for 24 weeks (~6 month), resulting in a total of 72 exercise sessions (3 sessions per week over 24 weeks) for each participant.

Each session comprises 20 child-oriented exercises with the focus to increase strength and flexibility. Exercises are executed for 30 s followed by a recovery period of 30 s. Each session starts with 3–4 warming-up exercises, followed by 10–12 strength and flexibility exercises, and ending with 3–4 cool down or stretching tasks.

All exercise sessions are continuous video clips transmitted to the participants via the web-based e-Learning platform Einstein (https://einstein.costner.is). The participant simply has to imitate the execution and follow some short advices. For a better orientation, a timer in the upper right corner displays the duration of exercise and the time of recovery. Beep signals indicate the last 3 s of the exercise and recovery period.

After each session, the screen will jump to a short online survey. Participant will give a quick report on perceived exertion (Borg scale) and feasibility of the actual session. The investigator can thereby monitor adherence rate and, in case of lacking compliance, intervene via email or telephone calls. The three video clips will be available for 1 week (Monday to Sunday) and the participant is free to choose when to train. At the end of a week all sessions will be erased from the account and replaced by new 3 sessions. That procedure will be repeated over the target 24 weeks.

Clinical Measurements

All of the clinical measurements at baseline, short term (after 24 weeks of intervention and control group) and long-term (48 weeks after baseline) follow-up (Figure 1) will be conducted in the outpatient clinic of the German heart center in Munich.

Health Related Physical Fitness (HRPF)

HRPF will be tested by five different tests of the FITNESSGRAM®(26) test battery in standardized order. The tests will be supervised by an experienced sports exercise physiologist.

Curl-Up: Abdominal strength and muscular endurance

Execution: Supine position, flexed knees with an angle of around 140° and feet placed on the ground. Arms stretched out beside the body. The upper body moves slowly toward the knees and afterwards back to the ground.

Assessment: Score of valid curls-ups.

Push-Ups: Upper body strength and muscular endurance

Execution: Prone position, with stretched back and legs. Arms straight under the shoulders pushing the body up and down.

Assessment: Score of valid push-ups.

Shoulder Stretch: Upper arm and shoulder girdle flexibility

Execution: Hands clenched to fists. Bring fists together as close as possible behind the back. Avoid hollow back.

Assessment: Distance of the knuckles of the forefingers. Both sides.

Sit and Reach: Hamstring flexibility

Execution: Siting position, one leg stretched against a box, toes stretched upright. Other leg flexed. Reaching to the toes or further with straight arms.

Assessment: Negative or positive values in cm depending on the zero line of the box/toes. Both sides.

Trunk Lift: Trunk extensor strength and flexibility

Execution: Lying outstretched in prone position. Arms tight to the body and hands under the thighs. Lifting upper body without bouncing while looking toward the ground.

Assessment: Distance chin to ground in cm. Best of two trials.

Detailed information of the exercises and the test execution can be accessed from the online supplement of our recently published study in children with total cavopulmonary connection (13, 17).

Measures of Arterial Stiffness

Functional: pulse wave velocity (pwv) and central systolic blood pressure (CSBP)

Measures of arterial stiffness involve pulse wave velocity (PWV) and central systolic blood pressure. Functional measures of arterial stiffness play a significant role in the development of cardiovascular disease and associations to physical activity have been outlined in adult and pediatric cohorts as well (27, 28).

Therefore, the automated, oscillometric Mobil-o-Graph (I.E.M GmbH, Stolberg, Germany) is used. The measurement will be performed at the left upper arm after resting in supine position for 5 min. Cuff size is adjusted for individual arm circumference. The inbuilt ARCSolver algorithm of the device uses a transfer function to calculate PWV and central systolic blood pressure based on the peripheral wave form (29). The device has shown good validity and applicability in several studies, even in patients with CHD (12, 30, 31).

Structural: carotid intima-media thickness (cIMT)

Carotid intima-media thickness (cIMT) is a marker for structural changes of the vessels and for early atherosclerosis. It is shown that physical activity in general is associated with favorable IMT outcomes in children and adolescents (32, 33).

cIMT will be measured using B-Mode ultrasound. To minimize inter- and intra-observer variability the guidelines of the Cardiovascular Prevention Working Group of the Association for European Paediatric Cardiology are followed (34).

The semi-automated GM-72P00A Cardiohealth Station from Panasonic (Yokohama, Japan) is used together with a linear probe of 9 MHz to assess cIMT at the arteria carotis communis. The measurements are conducted in supine position with patients head turned 45 degrees to the opposite of the examined side and the neck slightly tilted backwards. In the first step, the neck vessels were scanned for plaques in a cross-section, afterwards the common carotid artery was displayed in the longitudinal view.

Pictures are then taken of the cIMT on the far-wall, in the end-diastolic phase, ~1 cm proximal to the bifurcation in two angles on the left (210° and 240° degrees) and two angles on the right side (120° and 150° degrees).

Health Related Quality of Life (HRQoL)

The KINDL-R questionnaire is handed out to assess Health related Quality of Life (HRQoL). It is a common, international and well standardized questionnaire for evaluating children's HRQoL from a subjective perspective (3538). It exists in three versions according to the different age groups. In this study, the KidKINDL for children aged 7–13 years and the KiddoKINDL for chidlren aged 14–17 years is used.

The questionnaire consists of 24 items that refer to the past week and is answered on a 5-point Likert scale (never, seldom, sometimes, often, and always). The scored items are then transferred to a total HRQoL score and to six subscales (physical, emotional, self-esteem, family, friends, everyday functioning). All subscales are graded on a scale from 0 to 100, whereby higher values reflect better HRQoL.

Enrollment

The participants will perform the five motor tasks initially. Based on the test results of a reference cohort, LMS values were calculated according to Cole (39) using R-Studio (version 0.99.879, R-Studio Inc.) with the module extensions gamlss (version 3.4-8) and AGD (version 0.34). Children with CHD will be classified according to those established LMS values and z-scores displayed for every of the five tasks and HRPF z-score as the mean of the five tasks.

Participants are consecutive randomized and, when admitted to the intervention arm, start directly the week after screening for baseline characteristics with the exercise program. Every participant receives an anonymous account where 3 sessions will appear every week.

Endpoints

Primary Endpoint

The primary endpoint criterion refers to an improvement of health-related physical fitness, assessed as the mean z-score of the five tests, 24 weeks (~6 month) after intervention.

Secondary Endpoints

Secondary endpoints are as followed:

• Compliance (adherence) with the supervised web- and home-based intervention measured as participation rate in the training sessions (%).

• Improvement of Central/peripheral blood pressure after 24 weeks (~6 month) after intervention.

• Improvement of Intima-media thickness after 24 weeks (~6 month) after intervention.

• Improvement of health-related quality of life 24 weeks (~6 month) after intervention.

• Improvement of pulse wave velocity 24 weeks (~6 month) after intervention.

Sample Size Calculation

Sample size was calculated with G* (http://www.gpower.hhu.de) according to the primary endpoint criterion. According to our preceding cross-sectional study (12, 13, 40) a HRPF z-score of about −0.64 ± 0.9 (27th percentile) was averaged in the CHD children in comparison to the healthy reference. The study aims to improve HRPF to a value of 0.0 ± 1.0 (50th percentile) at the end of the intervention. With a power of 85% on a one-sided level of significance of 0.05 a sample size of 31 per group is necessary. Assuming a slight drop out of about 10% in total 70 children will be recruited and allocated randomly 1:1 in the two study arms.

Statistical Methods

Difference of the HRPF z-score for each participant will be compared between both study groups using an independent two-sample t-test (if normal distributed) or Mann–Whitney U-Test (if skewed). To calculate gender specific and group specific differences over time, repeated ANOVA measures (if normal distributed) or Friedman-test (if skewed) will be performed. In terms of drop-out an intention to threat analysis will be performed. Two-sided level of significance of 5% will be considered for this primary endpoint.

Discussion

The objective of this RCT is to determine the effect on HRPF and other functional outcome measures, as well as the compliance of a web-based exercise intervention in children with CHD.

Several studies in CHD have shown that participation in a physical exercise-training program is safe and improves fitness (18, 41). Unfortunately, those exercise interventions are underutilized in children with CHD and fitness, as the primary endpoint, is mostly just determined as an improvement in peak oxygen uptake while interest in other functional measures is rare. Indeed, peak oxygen uptake may be the most important prognostic parameter for survival in patients with CHD (1921) but it is controversial whether that importance already exists in children with CHD. The idea behind is the changing landscape of older patients with CHD that will develop acquired cardiovascular disease, such as hypertension and hyperlipidemia (42, 43). From the perspective of primary prevention, it is therefore more important to shape PA behavior early in life that yield health benefits later in life. Motor skill development across the childhood has proven to influence children's PA behavior beneficially later in life in many ways (44, 45). Therefore, the objective of this study refers to HRPF and other functional outcomes instead of solely peak oxygen uptake.

Several studies already have investigated the feasibility and effectiveness of a home-based exercise intervention for young and adult people with CHD (14, 18). The utility of exercise interventions for this target group is unchallenged, but in 21 studies only 621 subjects, 30 per study, were included (18). Those small sample sizes very often lead to missing results and weak generalizability. Moreover, supervised training interventions are difficult to schedule and to conduct because of the low prevalence of patients with CHD.

To overcome those problems this study uses a web-based solution for two reasons. First, to include more patients in particular from remote areas and second, to deliver and monitor the intervention more effectively. The proposed training stimulus of 3 session of 20 min per week result in a relatively low real training volume of 30 min per week because the other 30 min are recovery time. Most of the studies mentioned in the comprehensive review (18) had longer durations for one training session and an overall higher workload per week but were conducted for only 12 weeks. Since this study takes twice as long we decided not to occupy the patient with intensive training. Instead it is assumed that less workload throughout the week leads to a better long-term compliance. That is also the reason why the patient is free in performing its 3 sessions per week instead of sticking to a fixed schedule.

The biggest challenge is the monitoring of the home-base intervention. Indeed 10 of the 21 studies did not report participation rate. Commonly in home-based intervention that is done by training logs and/or regular phone calls—a method that is inappropriate and especially uneconomical these days because they are not manageable outside a clinical study. With the electronic reporting and the possibility of tracking when training session were streamed it is much easier to follow compliance. In addition, automated messages can be sent to the patients to remind him/her of the execution and vice versa the supervisor when a training progress is missing. Nevertheless, it cannot entirely ruled out that the patients cheat in reporting. Consumer friendly wearable technology is a promising prospect in dealing with that issue but currently applications that are easy to use and connected to a central server are missing (46).

Web-based or eHealth PA interventions in patients with CHD are virtually not existent. Only the PReVaiL (23, 24) trial tried to assess benefits and harms of a tailored eHealth intervention with education and individual counseling in adolescents with CHD. Unfortunately, no change in oxygen uptake, PA and health-related quality of life occurred 52 weeks after the educational and motivational intervention. However, the most frustrating point was the low compliance to the intervention, which clearly outlined the vulnerability of those web-based approaches. Therefor our web-based intervention will contain exercise videos for a maximum of 24 weeks to minimize the number of drop-out. Further each exercise session consists of 20 different exercises that won't take more than 20 min. This means the amount of exercise is right at a level where changes in HRPF still can be expected but former inactive people aren't overstrained with an excessive exercise amount. Nevertheless, eHealth provides easy and wide reachability by low cost. Strategies have to be developed and evaluated to use this technique to maintain and improve the clinical care in this growing cohort of patients with CHD. This study aims to understand feasibility and compliance of those web-based studies.

Author Contributions

MM, A-LH, LB, RO, PE, and JM were all involved in development of the study protocol. JM prepared the initial draft of the manuscript. MM and AH set up the database infrastructure for the intervention. All authors read, contributed to editing, and approved the final manuscript.

Funding

This study is funded by an unrestricted grant from the Robert-Enke-Stiftung and the Fördergemeinschaft Deutsche Kinderherzzentren e.V.

Conflict of Interest Statement

The 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.

Acknowleadgments

The authors would like to thank the staff, and especially the nurses, of the outpatient apartment of the German Heart Centre for their dedicative support in this project.

This work was supported by the German Research Foundation (DFG) and the Technical University of Munich (TUM) in the framework of the Open Access Publishing Program.

Abbreviations

CHD, congenital heart disease; cIMT, Carotid Intima-media Thickness; HRPF, heat-related physical fitness; HRQoL, Health related Quality of Life; PWV, pulse wave velocity; RCT, randomized controlled trial.

References

1. Hovels-Gurich HH, Seghaye MC, Dabritz S, Messmer BJ, von Bernuth G. Cognitive and motor development in preschool and school-aged children after neonatal arterial switch operation. J Thorac Cardiovasc Surg. (1997) 114:578–85. doi: 10.1016/S0022-5223(97)70047-3

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Bjarnason-Wehrens B, Dordel S, Schickendantz S, Krumm C, Bott D, Sreeram N. Motor development in children with congenital cardiac diseases compared to their healthy peers. Cardiol Young (2007) 17:487–98. doi: 10.1017/S1047951107001023

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Müller J, Pringsheim M, Engelhardt A, Meixner J, Halle M, Oberhoffer R. Motor training of sixty minutes once per week improves motor ability in children with congenital heart disease and retarded motor development: a pilot study. Cardiol Young (2013) 23:717–21. doi: 10.1017/S1047951112001941

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Holm I, Fredriksen PM, Fosdahl MA, Olstad M, Vollestad N. Impaired motor competence in school-aged children with complex congenital heart disease. Arch Pediatr Adolesc Med. (2007) 161:945–50. doi: 10.1001/archpedi.161.10.945

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Bellinger DC, Jonas RA, Rappaport LA, Wypij D, Wernovsky G, Kuban KC, et al. Developmental and neurologic status of children after heart surgery with hypothermic circulatory arrest or low-flow cardiopulmonary bypass. N Engl J Med. (1995) 332:549–55.

PubMed Abstract | Google Scholar

6. Bellinger DC, Wypij D, Kuban KC, Rappaport LA, Hickey PR, Wernovsky G, et al. Developmental and neurological status of children at 4 years of age after heart surgery with hypothermic circulatory arrest or low-flow cardiopulmonary bypass. Circulation (1999) 100:526–32.

PubMed Abstract

7. Marino BS, Lipkin PH, Newburger JW, Peacock G, Gerdes M, Gaynor JW. Neurodevelopmental outcomes in children with congenital heart disease: evaluation and management: a scientific statement from the American Heart Association. Circulation (2012) 126:1143–72. doi: 10.1161/CIR.0b013e318265ee8a

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Moalla W, Dupont G, Costes F, Gauthier R, Maingourd Y, Ahmaidi S. Performance and muscle oxygenation during isometric exercise and recovery in children with congenital heart diseases. Int J Sports Med. (2006) 27:864–9. doi: 10.1055/s-2006-923787

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Greutmann M, Le TL, Tobler D, Biaggi P, Oechslin EN, Silversides CK. Generalised muscle weakness in young adults with congenital heart disease. Heart (2011) 97:1164–8. doi: 10.1136/hrt.2010.213579

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Sandberg C, Thilen U, Wadell K, Johansson B. Adults with complex congenital heart disease have impaired skeletal muscle function and reduced confidence in performing exercise training. Eur J Prev Cardiol. (2015) 22:1523–30. doi: 10.1177/2047487314543076

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Kroonstrom LA, Johansson L, Zetterstrom AK, Dellborg M, Eriksson P, Cider A. Muscle function in adults with congenital heart disease. Int J Cardiol. (2014) 170:358–63. doi: 10.1016/j.ijcard.2013.11.014

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Häcker AL, Reiner B, Oberhoffer R, Hager A, Ewert P, Müller J. Increased arterial stiffness in children with congenital heart disease. Eur J Prev Cardiol. (2018) 25:103–9. doi: 10.1177/2047487317737174

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Hock J, Reiner B, Neidenbach RC, Oberhoffer R, Hager A, Ewert P. Functional outcome in contemporary children with total cavopulmonary connection - Health-related physical fitness, exercise capacity and health-related quality of life. Int J Cardiol. (2018) 255:50–4. doi: 10.1016/j.ijcard.2017.11.092

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Gomes-Neto M, Saquetto MB, da Silva e Silva CM, Conceicao CS, Carvalho VO. Impact of exercise training in aerobic capacity and pulmonary function in children and adolescents after congenital heart disease surgery: a systematic review with meta-analysis. Pediatr Cardiol. (2016) 37:217–24. doi: 10.1007/s00246-015-1270-x

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Longmuir PE, Banks L, McCrindle BW. Cross-sectional study of motor development among children after the Fontan procedure. Cardiol Young (2012) 22:443–50. doi: 10.1017/S104795111100206X

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Zaqout M, Vandekerckhove K, Michels N, Bove T, Francois K, De Wolf D. Physical fitness and metabolic syndrome in children with repaired congenital heart disease compared with healthy children. J Pediatr. (2017) 191:125–32. doi: 10.1016/j.jpeds.2017.08.058

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Hock J, Häcker AL, Reiner B, Oberhoffer R, Hager A, Ewert P. Functional outcome in contemporary children and young adults with tetralogy of Fallot after repair. Arch Dis Child. (2018). doi: 10.1136/archdischild-2017-314733. [Epub ahead of print].

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Duppen N, Takken T, Hopman MT, ten Harkel AD, Dulfer K, Utens EM. Systematic review of the effects of physical exercise training programmes in children and young adults with congenital heart disease. Int J Cardiol. (2013) 168:1779–87. doi: 10.1016/j.ijcard.2013.05.086

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Diller GP, Giardini A, Dimopoulos K, Gargiulo G, Müller J, Derrick G. Predictors of morbidity and mortality in contemporary Fontan patients: results from a multicenter study including cardiopulmonary exercise testing in 321 patients. Eur Heart J. (2010) 31:3073–83. doi: 10.1093/eurheartj/ehq356

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Giardini A, Hager A, Lammers AE, Derrick G, Müller J, Diller GP, et al. Ventilatory efficiency and aerobic capacity predict event-free survival in adults with atrial repair for complete transposition of the great arteries. J Am Coll Cardiol. (2009) 53:1548–55. doi: 10.1016/j.jacc.2009.02.005

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Müller J, Hager A, Diller GP, Derrick G, Buys R, Dubowy KO. Peak oxygen uptake, ventilatory efficiency and QRS-duration predict event free survival in patients late after surgical repair of tetralogy of Fallot. Int J Cardiol. (2015) 196:158–64. doi: 10.1016/j.ijcard.2015.05.174

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Lau PW, Lau EY, Wong del P, Ransdell L. A systematic review of information and communication technology-based interventions for promoting physical activity behavior change in children and adolescents. J Med Internet Res. (2011) 13:e48. doi: 10.2196/jmir.1533

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Klausen SH, Andersen LL, Søndergaard L, Jakobsen JC, Zoffmann V, Dideriksen K. Effects of eHealth physical activity encouragement in adolescents with complex congenital heart disease: the PReVaiL randomized clinical trial. Int J Cardiol. (2016) 221:1100–6. doi: 10.1016/j.ijcard.2016.07.092

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Klausen SH, Mikkelsen UR, Hirth A, Wetterslev J, Kjærgaard H, Søndergaard L. Design and rationale for the PREVAIL study: effect of e-Health individually tailored encouragements to physical exercise on aerobic fitness among adolescents with congenital heart disease–a randomized clinical trial. Am Heart J. (2012) 163:549–56. doi: 10.1016/j.ahj.2012.01.021

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Warnes CA, Liberthson R, Danielson GK, Dore A, Harris L, Hoffman JI, et al. Task force 1: the changing profile of congenital heart disease in adult life. J Am Coll Cardiol. (2001) 37:1170–5. doi: 10.1016/S0735-1097(01)01272-4

PubMed Abstract | CrossRef Full Text | Google Scholar

26. Plowman SA. Muscular Strength, Endurance, and Flexibility Assessments. In: Plowman SA, Meredith MD, editors. Fitnessgram/Activitygram Reference Guide 4th Ed. Dallas, TX: The Cooper Institute (2013). p. 8–55.

27. Sakuragi S, Abhayaratna K, Gravenmaker KJ, O'Reilly C, Srikusalanukul W, Budge MM. Influence of adiposity and physical activity on arterial stiffness in healthy children: the lifestyle of our kids study. Hypertension (2009) 53:611–6. doi: 10.1161/HYPERTENSIONAHA.108.123364

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Meyer AA, Kundt G, Lenschow U, Schuff-Werner P, Kienast W. Improvement of early vascular changes and cardiovascular risk factors in obese children after a six-month exercise program. J Am Coll Cardiol. (2006) 48:1865–70. doi: 10.1016/j.jacc.2006.07.035

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Weber T, Wassertheurer S, Rammer M, Maurer E, Hametner B, Mayer CC. Validation of a brachial cuff-based method for estimating central systolic blood pressure. Hypertension. (2011) 58:825–32. doi: 10.1161/HYPERTENSIONAHA.111.176313

PubMed Abstract | CrossRef Full Text | Google Scholar

30. Westhoff TH, Straub-Hohenbleicher H, Schmidt S, Tolle M, Zidek W, van der Giet M. Convenience of ambulatory blood pressure monitoring: comparison of different devices. Blood Press Monit. (2005) 10:239–42. doi: 10.1097/01.mbp.0000172711.82287.7f

PubMed Abstract | CrossRef Full Text | Google Scholar

31. Elmenhorst J, Hulpke-Wette M, Barta C, Dalla Pozza R, Springer S, Oberhoffer R. Percentiles for central blood pressure and pulse wave velocity in children and adolescents recorded with an oscillometric device. Atherosclerosis (2014) 238:9–16. doi: 10.1016/j.atherosclerosis.2014.11.005.c

PubMed Abstract | CrossRef Full Text | Google Scholar

32. Pahkala K, Heinonen OJ, Simell O, Viikari JS, Rönnemaa T, Niinikoski H. Association of physical activity with vascular endothelial function and intima-media thickness. Circulation (2011) 124:1956–63. doi: 10.1161/CIRCULATIONAHA.111.043851

PubMed Abstract | CrossRef Full Text | Google Scholar

33. Ried-Larsen M, Grontved A, Moller NC, Larsen KT, Froberg K, Andersen LB. Associations between objectively measured physical activity intensity in childhood and measures of subclinical cardiovascular disease in adolescence: prospective observations from the European Youth Heart Study. Br J Sports Med. (2014) 48:1502–07. doi: 10.1136/bjsports-2012-091958

PubMed Abstract | CrossRef Full Text | Google Scholar

34. Dalla Pozza R, Ehringer-Schetitska D, Fritsch P, Jokinen E, Petropoulos A, Oberhoffer R. Intima media thickness measurement in children: A statement from the Association for European Paediatric Cardiology (AEPC) Working Group on Cardiovascular Prevention endorsed by the Association for European Paediatric Cardiology. Atherosclerosis (2015) 238:380–7. doi: 10.1016/j.atherosclerosis.2014.12.029

PubMed Abstract | CrossRef Full Text | Google Scholar

35. Ellert U, Ravens-Sieberer U, Erhart M, Kurth BM. Determinants of agreement between self-reported and parent-assessed quality of life for children in Germany-results of the German Health Interview and Examination Survey for Children and Adolescents (KiGGS). Health Qual Outcomes (2011) 9:102. doi: 10.1186/1477-7525-9-102

PubMed Abstract | CrossRef Full Text | Google Scholar

36. Erhart M, Ellert U, Kurth BM, Ravens-Sieberer U. Measuring adolescents' HRQoL via self reports and parent proxy reports: an evaluation of the psychometric properties of both versions of the KINDL-R instrument. Health Qual life Outcomes (2009) 7:77. doi: 10.1186/1477-7525-7-77

PubMed Abstract | CrossRef Full Text | Google Scholar

37. Ravens-Sieberer U, Ellert U, Erhart M. [Health-related quality of life of children and adolescents in Germany. Norm data from the German Health Interview and Examination Survey (KiGGS)]. Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz. (2007) 50:810–8. doi: 10.1007/s00103-007-0244-4

PubMed Abstract | CrossRef Full Text | Google Scholar

38. Ravens-Sieberer U, Erhart M, Wille N, Bullinger M, group Bs. Health-related quality of life in children and adolescents in Germany: results of the BELLA study. Eur Child Adolesc Psychiatry (2008) 17 (Suppl. 1):148–56. doi: 10.1007/s00787-008-1016-x

PubMed Abstract | CrossRef Full Text | Google Scholar

39. Cole TJ. The LMS method for constructing normalized growth standards. Eur J Clin Nutr. (1990) 44:45–60.

PubMed Abstract | Google Scholar

40. Reiner B, Oberhoffer R, Ewert P, Müller J. Quality of life in young people with congenital heart disease is better than expected. Arch Dis Child. (2018). doi: 10.1136/archdischild-2017-314211. [Epub ahead of print].

PubMed Abstract | CrossRef Full Text | Google Scholar

41. Dua JS, Cooper AR, Fox KR, Graham Stuart A. Exercise training in adults with congenital heart disease: feasibility and benefits. Int J Cardiol. (2010) 138:196–205. doi: 10.1016/j.ijcard.2009.01.038

PubMed Abstract | CrossRef Full Text | Google Scholar

42. Bouma BJ, Mulder BJ. Changing landscape of congenital heart disease. Circ Res. (2017) 120:908–22. doi: 10.1161/CIRCRESAHA.116.309302

PubMed Abstract | CrossRef Full Text | Google Scholar

43. Triedman JK, Newburger JW. Trends in congenital heart disease: the next decade. Circulation (2016) 133:2716–33. doi: 10.1161/CIRCULATIONAHA.116.023544

PubMed Abstract | CrossRef Full Text

44. Loprinzi PD, Cardinal BJ, Loprinzi KL, Lee H. Benefits and environmental determinants of physical activity in children and adolescents. Obesity Facts (2012) 5:597–610. doi: 10.1159/000342684

PubMed Abstract | CrossRef Full Text | Google Scholar

45. Loprinzi PD, Davis RE, Fu YC. Early motor skill competence as a mediator of child and adult physical activity. Prev Med Rep. (2015) 2:833–8. doi: 10.1016/j.pmedr.2015.09.015

PubMed Abstract | CrossRef Full Text | Google Scholar

46. Piwek L, Ellis DA, Andrews S, Joinson A. The rise of consumer health wearables: promises and barriers. PLoS Med. (2016) 13:e1001953. doi: 10.1371/journal.pmed.1001953

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: web-based, intervention, eHealth, exercise, congenital heart disease, children

Citation: Meyer M, Hreinsdottir A, Häcker A-L, Brudy L, Oberhoffer R, Ewert P and Müller J (2018) Web-Based Motor Intervention to Increase Health-Related Physical Fitness in Children With Congenital Heart Disease: A Study Protocol. Front. Pediatr. 6:224. doi: 10.3389/fped.2018.00224

Received: 07 May 2018; Accepted: 20 July 2018;
Published: 27 August 2018.

Edited by:

Tim Takken, University Medical Center Utrecht, Netherlands

Reviewed by:

Shahanawaz Syed, Mahatma Gandhi Mission Institute of Health Sciences, India
Daniel Rossignol, Rossignol Medical Center, United States

Copyright © 2018 Meyer, Hreinsdottir, Häcker, Brudy, Oberhoffer, Ewert and Müller. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Jan Müller, j.mueller@tum.de

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.