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Exercise capacity, physical activity, and health-related quality of life in adults with CHD

Published online by Cambridge University Press:  15 April 2020

Linda Ashman Kröönström*
Affiliation:
Occupational and Physical Therapy Department, Sahlgrenska University Hospital, Gothenburg, Sweden Institute of Neuroscience and Physiology/Physiotherapy, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
Åsa Cider
Affiliation:
Occupational and Physical Therapy Department, Sahlgrenska University Hospital, Gothenburg, Sweden Institute of Neuroscience and Physiology/Physiotherapy, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
Anna-Klara Zetterström
Affiliation:
Occupational and Physical Therapy Department, Sahlgrenska University Hospital, Gothenburg, Sweden
Linda Johansson
Affiliation:
Occupational and Physical Therapy Department, Sahlgrenska University Hospital, Gothenburg, Sweden
Peter Eriksson
Affiliation:
Adult Congenital Heart Unit, Sahlgrenska University Hospital/Östra, Gothenburg, Sweden Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
Lars Brudin
Affiliation:
Department of Clinical Physiology, Kalmar County Hospital, Kalmar, Sweden
Mikael Dellborg
Affiliation:
Adult Congenital Heart Unit, Sahlgrenska University Hospital/Östra, Gothenburg, Sweden Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
*
Author for correspondence: L. Ashman Kröönström, Fysioterapi Östra sjukhuset, Diagnosvägen 11, 416 50Göteborg, Sweden. Tel: +46 031 3434463. E-mail: [email protected]
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Abstract

Objectives:

The aim of this study was to assess exercise capacity, physical activity, and health-related quality of life within a broad and unselected group of adults with CHD.

Design:

From April 2009 to February 2014, 1310 patients were assessed for suitability to participate in this single-centre cross-sectional study. Seven hundred and forty-seven (57%) patients were included, performed a submaximal bicycle test, and answered questionnaires regarding physical activity and health-related quality of life. Exercise capacity, physical activity, and health-related quality of life were compared with reference values and correlations were studied.

Results:

The exercise capacities of men and women with CHD were 58.7 and 66.3%, respectively, of reference values. Approximately, 20–25% of the patients did not achieve the recommended amount of physical activity. In addition, men scored significantly less points on 7 out of 10 scales of health-related quality of life and women in 6 out of 10 scales, compared with reference values. The strongest correlation was between exercise capacity and the Short Form-36 (physical function).

Conclusions:

Exercise capacity was impaired in all adults with CHD, including those with less complicated CHD. One-quarter of the patients did not achieve the recommended levels of physical activity. Exercise tests followed by individualised exercise prescriptions may be offered to all patients with CHD aiming to increase exercise capacity, levels of physical activity, improve health-related quality of life, and reduce the risk of acquired life-style diseases.

Type
Original Article
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Copyright
© The Author(s), 2020. Published by Cambridge University Press

Adult patients with CHD show reduced exercise capacityReference Fredriksen, Veldtman and Hechter1Reference Kempny, Dimopoulos and Uebing3 which is related to a worse prognosis in these patients.Reference Diller, Dimopoulos and Okonko4 According to the World Health Organization, the recommendations for physical activity for adults (aged 18–64 years) are the following: at least 150 minutes of moderate-intensity or 75 minutes of vigorous-intensity physical activity each week, or an equivalent combination of moderate- and vigorous-intensity physical activity.5 The physical activity in adult patients with CHD has been reported as lowerReference Dua, Cooper, Fox and Graham Stuart6 or equal to healthy peers.Reference Sandberg, Pomeroy and Thilen7 Differences in published findings about levels of physical activity in adults with CHD may be due to published data being from tertiary centres with referred patients, possibly having above average problems and below average exercise capacities. Age also impacts the human body and health-related quality of life, which declines with increasing age.Reference Sullivan, Karlsson and Taft8

For adults with CHD, a diminished exercise capacity, measured as peak VO2, also predicts the frequency and duration of hospitalisation or death.Reference Diller, Dimopoulos and Okonko4 As well as having a large impact on the patient’s prognosis and activities of daily living, a diminished exercise capacity is also known to be a risk factor for developing other acquired life-style diseases.Reference Lee, Shiroma and Lobelo9 These patients also have reduced muscle function compared with healthy adults.Reference Kroonstrom, Johansson and Zetterstrom10 As adults with CHD now live longer,Reference Marelli, Mackie, Ionescu-Ittu, Rahme and Pilote11,Reference Mandalenakis, Rosengren and Skoglund12 there is also a decline in exercise capacity with advancing age that is also seen in healthy individuals.Reference Katch, McArdle and Katch13 GratzReference Gratz, Hess and Hager14 showed that self-estimated exercise capacity poorly predicts actual capacity. The correlation, if any, between self-estimated physical activity and exercise capacity has not been assessed in Swedish adults with CHD. The correlation between health-related quality of life and exercise capacity is modest in adults with CHD.Reference Gratz, Hess and Hager14

The aims of this study were to assess exercise capacity, self-reported physical activity level, and health-related quality of life within a broad and unselected group of adults with CHD and to compare these values with published reference values from healthy individuals as well as to study the correlations between exercise capacity, physical activity level, and health-related quality of life.

Patients and methods

The adult CHD unit at Sahlgrenska University Hospital, Östra serves a population of 1.5 million and is a regional unit within that area.

Study population

From April 2009 to February 2014, all outpatients with CHD seen for regular visits in our CHD unit were assessed once for potential contraindications and, if none, patients were asked to see a specially trained physical therapist connected to the unit. Patients who came for revisits were not assessed or included more than once.

Exclusion criteria were severe arrhythmias, patients waiting to undergo surgery, advanced heart failure, severe cerebral lesions, and intellectual disabilities resulting in difficulties in performing the submaximal ergometer bicycle test, or if previously included in the study.

This study was a single-centre cross-sectional study. Patients were given oral and written information about the study, and each patient signed a letter of informed consent. Patients of the CHD unit agreed to have their data registered in the national Swedish Registry of CHD, which made it possible to analyse data for patients who opted not to participate in this study.

One thousand three hundred and ten outpatients seen at a specialised CHD unit were assessed. The demographics of this population are given in the Supplementary Table S1. Two hundred and twenty-three (17%) patients did not perform the tests due to one of the following reasons: musculoskeletal disorders (n = 9), intellectual/cerebral disability (n = 31), psychiatric disorders (n = 7), unstable or severe cardiac condition (n = 23), pregnancy (n = 31), discontinuation of planned care (i.e., moving outside catchment area) (n = 17), or other or unknown reasons (n = 105). Three hundred and forty (26%) patients declined to participate. No significant differences were seen between included and not-included patients (Supplementary Table S1).

Reference group

A description of the specific reference values used for comparison with the results of adults with CHD is provided along with an explanation of each test or questionnaire used. If patients were older or younger than the age range for the available reference values, these patients were grouped together and calculated with the nearest reference value available for levels of exercise capacity, physical activity level, and health-related quality of life.

Measurements

Patients performed a submaximal ergometer bicycle test to evaluate exercise capacity. On the same occasion, patients answered two questionnaires, one concerning levels of physical activity and the other regarding health-related quality of life. Standardised instructions were given by the physiotherapist leading the test. All included patients did not perform all tests and questionnaires. To clarify this, the number of patients who performed each test is listed in the tables.

Exercise capacity

A submaximal ergometer bicycle test (Monark 828 E, Varberg, Sweden) was used to assess exercise capacity. The protocol used was designed according to the World Health Organization15 and is a stepwise test with increasing loads with an almost steady circulatory state at each level.Reference Sjöstrand16,Reference Wahlund17 Resting heart rate and blood pressure were recorded before the test with the patient in a supine position. The initial load was 25 or 50 watts in a few patients. Speed was set to 60 revolutions per minute. The load increased every 4.5 or 5 minutes by 25 watts. Time was set for 4.5 or 5 minutes to reach steady state.Reference Arena, Myers and Williams18 Blood pressure was recorded manually with a sphygmomanometer every 2 minutes (H.E AB, Bandhagen, Sweden). Heart rate was measured via a pulse strap sending impulses to the bicycle (Polar T31; Polar, Bromma, Sweden). Heart rate and blood pressure were registered up until 5 minutes after ending the test. The exercise test was ended when patients reached 15–17 on Borg’s rating scale of perceived exertion.Reference Borg19 Other reasons for ending the submaximal test before reaching an perceived exertion of 15–17 were decreased blood pressure, chest pain, or if the patient’s cardiologist had indicated that the patient should only be permitted to reach a lower level of exertion.

Due to some patients ending the submaximal ergometer bicycle test before the level of watt was finished, that is, 4.5 or 5 minutes, the results of the submaximal bicycle test were calculated according to Strandell.Reference Strandell20 Thereafter, calculations were made to compare the results of patients included in the study with maximal reference values.Reference Brudin, Jorfeldt and Pahlm21 All calculations are presented in the Supplementary material.

Reference values

Reference values were from Swedish 18- to 80-year olds.Reference Brudin, Jorfeldt and Pahlm21 The reference values were from the maximal exercise test on a bicycle and, since 2014, are the current reference values used in the Clinical Physiology departments in Sweden. Patients were divided into the following age groups: 18–30, 31–40, 41–50, 51–60, 61–70, and >70 years.Reference Brudin, Jorfeldt and Pahlm21

Physical activity

The patient’s level of physical activity was assessed with the International Physical Activity Questionnaire – Short Form.Reference Craig, Marshall and Sjostrom22 Each patient’s self-reported physical activity is counted in Metabolic Equivalent of Tasks and divided into one of following three subgroups: low, moderate, or high. Descriptions of each group and calculations can be found in the Supplementary material. The questionnaire has been tested for validityReference Ekelund, Sepp and Brage23,Reference Lee, Macfarlane, Lam and Stewart24 and reliability.Reference Craig, Marshall and Sjostrom22

Reference values

The results for the adults with CHD were compared with reference values for Swedish men and women aged 18–74 years.Reference Hagströmer, Bergman, Bauman and Sjöström25,Reference Bergman, Grjibovski, Hagstromer, Bauman and Sjostrom26 In accordance with the reference values, patients were divided into the following three age groups: 18–34, 35–54, and 55–74 years.

Health-related quality of life

Self-reported health-related quality of life was assessed with the 36-item Short Form-36Reference Ware and Sherbourne27 consisting of eight scales and has good validity and reliability.Reference Ware and Sherbourne27

Reference values

The results of the adults with CHD were compared with age- and gender-related reference values in Swedish men and women. Patients were divided into age groups according to the manual of the Short Form-36: 15–19, 20–24, 25–29, 30–34, 35–39, 40–44, 45–49, 50–54, 55–59, 60–64, 65–69, 70–74, and 75+ years.Reference Sullivan, Karlsson and Taft8

Statistical methods

Data were analysed using Statistical Package for Social Sciences 20.0 for Windows (IBM Corp., Armonk, NY, United Sates of America), and RStudio28 for the multiple regression analysis. Demographic data are presented as the mean value and one standard deviation. Diagnosis groups were formed based on the division used by the Swedish Registry of CHD.29

Classification of CHDs

To form larger groups, CHD categories were combined into the following three groups: Less complicated, Corrected, and Complex diagnoses. The Less complicated diagnosis consisted of simple shunts, aortic valve malformations, aortic anomalies, mitral valve lesions, pulmonary valve lesions, and tricuspid valve lesions. The Corrected diagnosis consisted of right ventricular/tetralogy of Fallot and transposition of the great arteries. The Complex diagnosis consisted of truncus arteriosus, univentricular repair, and others. This arbitrary but prospective division was made to investigate whether differences in exercise capacity could be related to the degree and severity of malformations and to facilitate statistical analysis. The functional class of all patients was determined according to the classification system of the NYHA.Reference Bennett, Riegel, Bittner and Nichols30

Spearman’s rank correlation coefficient was used to calculate correlations for the Short Form-36, and Pearson’s correlation coefficient was used to calculate correlations between exercise capacity and physical activity. Correlations were interpreted according to Munro as follows: 0.00–0.25 Little if any, 0.26–0.49 Low, 0.50–0.69 Moderate, 0.70–0.89 High, or 0.90–1.00 Very high.Reference Munro31

The type of multiple linear regression used was Enter, which is a model that allows the authors to include variables thought to explain the dependent variables. It was used to assess the associations between exercise capacity (watt), International Physical Activity Questionnaire (total metabolic equivalent of tasks minutes/week), Short Form-36, sex, age, different diagnosis groups, and NYHA classification which was dichotomised into two groups, NYHA I and NYHA II–IV. Confidence interval was 95%. R 2 is the coefficient of determination and the degree of explanation of each variable.

The independent-samples t-test was used for comparisons of exercise capacity between adults with CHD and reference values. The Mann–Whitney U test was used for calculations with non-parametric data (International Physical Activity Questionnaire and Short Form-36). Tests were two-sided and the significant p-value was set to <0.05.

Results

Recruitment and demographics

Seven hundred and forty-seven (57%) patients performed the tests and 390 patients were men (52%), see Table 1. The medications were as follows: Beta-blockers (21.4%), Angiotensin-converting enzyme inhibitor (10.7%), Warfarin (11%), Aspirin (10.8%), Diuretics (6.7%), Angiotensin 2 blockers (2.1%), Aldosterone inhibitors (1%), Digitalis (2.4%), and other (1.7%).

Table 1. Descriptive data for the included patients, n = 747

Diagnosis groups: Less complicated diagnosis consisted of simple shunts, aortic valve malformations, aortic anomalies, mitral valve lesions, pulmonary valve lesions, and tricuspid valve lesions; Corrected diagnosis consisted of right ventricular/tetralogy of Fallot and transposition of the great arteries; and Complex diagnosis consisted of truncus arteriosus, univentricular repair, and others.

Exercise capacity

Five hundred and forty-five patients performed the submaximal ergometer bicycle test (251 women, 46%), and the results are presented in Table 2. Furthermore, 88% of the patients reached 15–17 on the Borg ratings of perceived exertion scale when performing the submaximal bicycle test, 7% of the tests were ended prior to reaching 15–17 on the ratings of perceived exertion scale, and 5% of the tests reached more than 15–17. The exercise capacity of patients within the Less complicated diagnosis group was 64% (sd ± 17.9) of predicted reference values, while it was 56% (sd ± 16.9) in the Corrected group and 51% (sd ± 19.6) in the Complicated group.

Table 2. Exercise capacity and level of physical activity according to International Physical Activity Questionnaire in adults with CHD

MET = metabolic equivalent of tasks; sd = standard deviation.

Physical activity

The International Physical Activity Questionnaire was filled out by 538 patients (279 men, 51.9%). The level of physical activity was determined as Low (33%), Moderate (38%), or High (29%), and each patient’s metabolic equivalent of tasks minutes/week was calculated (Table 2).

Men with CHD were not significantly less physically active than healthy reference values for the four following domains: Vigorous, Moderate, Walking, or Total metabolic equivalent of tasks minutes/week. However, they spent significantly more time sitting than healthy men (p = 0.012). The physical activity values for women with CHD were significantly less than reference values in the following domains: Vigorous (p < 0.001), Moderate (p < 0.001), and Total metabolic equivalent of tasks, minutes/week (p < 0.001). They also spent significantly more time sitting than healthy women (p = 0.002). Approximately, one-quarter, 66 (21.5%) of men and 65 (25.1%) of women with CHD, did not achieve the recommended minimum amount of 500 metabolic equivalent of tasks, minutes/week.Reference Garber, Blissmer and Deschenes32

Health-related quality of life

The Short Form-36 was filled out by 545 patients (266 women, 48.8%), the results in relation to healthy reference values are shown in Table 3. Men with CHD scored significantly lower than healthy men in 7 of the 10 scales, and women with CHD scored significantly lower scores in 6 of the 10 scales.

Table 3. Health-related quality of life according to the Short Form 36 in adults with CHD

Higher scores are indicative of a better health-related quality of life.

Exercise capacity, physical activity, and health-related quality of life

The strongest correlation was seen between exercise capacity (watt) and the Short Form-36 (physical function) and was a Moderately strong correlation (r = 0.56). The remaining correlations were either Little if any or Low. The correlation between exercise capacity and total metabolic equivalent of tasks minutes/week was r = 0.20, while the correlation between exercise capacity and following scales of the Short Form-36 is indicated: role physical (r = 0.29), bodily pain (r = 0.24), general health (r = 0.37), vitality (r = 0.24), social function (r = 0.26), role emotional (r = 0.23), mental health (r = 0.16), physical component score (r = 0.42), and mental component score (r = 0.1). The correlation between total metabolic equivalent of tasks, minutes/week, and the following items of the Short Form-36 is indicated: physical function (r = 0.22), role physical (r = 0.07), bodily pain (r = 0.12), general health (r = 0.20), vitality (r = 0.12), social function (r = 0.18), role emotional (r = 0.12), mental health (r = 0.15), physical component score (r = 0.16), and mental component score (r = 0.13).

The results of the multiple linear regression analysis are shown in the Supplementary Table S2. The physical components of the Short Form-36 had more statistically significant explanations in the model than did the mental components of the Short Form-36. The R 2 showed the strongest degree of explanation for the Short Form-36 scale physical function for both men and women.

Discussion

Exercise capacity

We found that the exercise capacity, evaluated with a submaximal exercise test, was impaired in adults with CHD when compared with reference values and this finding is consistent with the results from other studies.Reference Kempny, Dimopoulos and Uebing3,Reference Gratz, Hess and Hager14 Women had a significantly lower exercise capacity compared with men, and this is in accordance with the results from healthy persons and from previous studies of adults with CHD.Reference Kempny, Dimopoulos and Uebing3

Previous studies have shown that patients’ self-estimated physical function poorly predicts exercise capacity,Reference Gratz, Hess and Hager14 and exercise capacity needs to be objectively assessed before giving advice or recommendations for exercise. The importance of an exercise test prior to starting an aerobic exercise training programme has also been strongly emphasisedReference Arena, Myers and Williams18 so that a valid individual exercise training programme can be prescribed and evaluated. Individualised exercise programmes for patients’ unaccustomed to exercise or previously restricted from exercise can be prescribed by physical therapists and may help patients increase their exercise capacity. Exercise capacity was lower in the “Less complicated” diagnosis group, thus demonstrating the need to provide all patients the opportunity to have their exercise capacities evaluated.

Patients aged 35 years performed at 62.2% of the age-adjusted reference values for exercise capacity (Table 2), thus we must consider how exercise capacity continues to develop and impact these patients’ activities of daily living with advancing age. In addition, an impaired exercise capacity impacts the prognosis of these patients.Reference Diller, Dimopoulos and Okonko4

Physical activity

One-quarter (23.2%) of the patients in this study were physically active less than 500 metabolic equivalent of tasks, minutes/week, and therefore did not achieve the recommended levels of physical activity for healthy persons. Low levels of physical activity are a risk factor as inactive persons have a higher risk of cardiovascular disease compared to active persons.Reference Fletcher, Landolfo and Niebauer33 On the other hand, three-quarters (76.8%) were actually active enough to meet the recommendations of at least 500 metabolic equivalent of tasks, minutes/week.Reference Bushman34 Other authors have also found a decreased level of physical activity in adults with CHD.Reference Dua, Cooper, Fox and Graham Stuart6 However, a Swedish study using accelerometers showed that adults with CHD follow the same physical activity pattern as healthy controls.Reference Sandberg, Engstrom and Dellborg35

There is presently a lack of recommendations regarding physical activity and exercise for adults with CHD. The recommendations for healthy persons might not be optimal as adults with CHD might be more susceptible to diabetes,Reference Dellborg, Bjork and Pirouzi Fard36 hypertension, obesity, and coronary artery disease.Reference Roche and Silversides37 To reduce mortality in patients with chronic heart failure and cardiovascular disease, secondary preventive efforts, such as more exercise, are needed once ill.Reference Fletcher, Ades and Kligfield38 Therefore, special physical activity and exercise recommendations for adults with CHD might be desirable.

Health-related quality of life

In this article, we present values for health-related quality of life measured with the Short Form-36 in Swedish adults with CHD. Men with CHD had significantly lower scores in seven scales compared with healthy men. In the scale bodily pain, men with CHD surprisingly scored pain significantly less than healthy men. Women with CHD had a significantly lower score in six scales compared with healthy women (Table 3). Women with CHD also scored less in the bodily pain scale than healthy women.

Previous studies found ambiguous results concerning health-related quality of life in adults with CHD. In some studies, health-related quality of life in adults with CHD did not differ from healthy persons,Reference Immer, Althaus, Berdat, Saner and Carrel39 while it was also reported as lower, especially the physical function scale.Reference Gratz, Hess and Hager14,Reference Hager and Hess40 Swedish studies in adults with CHD have investigated health-related quality of life using the EuroQol five dimension scale, but the Short Form-36 has not been used before in Swedish adults with CHD. Using multiple regression analysis, we found that age was significant regarding all five of the physical components of the Short Form-36 for men. However, in women, the NYHA classification was more frequently associated with the physical components than age was.

The strongest correlation in this study was between exercise capacity and the Short Form-36 physical function scale, indicating that exercise capacity is important for the health-related quality of life of these patients.

Limitations of the present study

The results of the submaximal tests were derived from calculations of the maximal reference values, which is a limitation. However, the study described an equation which made comparisons between two tests possible. If patients were older or younger than the available reference values, these patients were grouped together and calculated with the nearest reference value available, as opposed to excluding these values from analysis. Different types of categorisations of CHD have been published; however, when this study was conducted, there was no consensus in classifications why this classification was used. The reasons why patients opted to decline were not registered, which is a limitation. All included patients, did not complete all tests, that is, the exercise test as well as both questionnaires, and the reasons why were not registered. Self-reported levels of physical activity are known to be overestimated when correlated to objective measures of physical activity Reference Lee, Macfarlane, Lam and Stewart24; therefore, when calculating the results of International Physical Activity Questionnaire, if the patient had written an estimation of the time or day spent on physical activity, the lowest number the patient had estimated was used.

Conclusion

Exercise capacity was impaired in all adults with CHD, including those with less complicated CHD. One-quarter of the patients did not achieve the recommended levels of physical activity. Exercise tests followed by individualised exercise prescriptions may be offered to all patients with CHD aiming to increase exercise capacity, levels of physical activity, improve health-related quality of life, and reduce the risk of acquired life-style diseases.

Acknowledgements

The authors wish to thank Georgios Lappas for statistical advice.

Financial Support

This work was supported by grants from the Swedish state under the agreement between the Swedish government and the county councils, the ALF-agreement (MD, grant number 236611), and the Swedish Heart-Lung Foundation (MD, grant number 20090724).

Conflicts of Interest

None.

Ethical Standards

The authors assert that all procedures contributing to this work comply with the Helsinki Declaration of 1975, as revised in 2008, and has been approved by the regional ethics board in Gothenburg, Sweden.41

Supplementary material

To view supplementary material for this article, please visit https://doi.org/10.1017/S104795112000075X

References

Fredriksen, PM, Veldtman, G, Hechter, S, et al.Aerobic capacity in adults with various congenital heart diseases. Am J Cardiol 2001; 87: 310314.CrossRefGoogle ScholarPubMed
Muller, J, Hess, J, Hager, A. Exercise performance and quality of life is more impaired in Eisenmenger syndrome than in complex cyanotic congenital heart disease with pulmonary stenosis. Int J Cardiol 2011; 150: 177181.10.1016/j.ijcard.2010.04.005CrossRefGoogle ScholarPubMed
Kempny, A, Dimopoulos, K, Uebing, A, et al.Reference values for exercise limitations among adults with congenital heart disease. Relation to activities of daily life-single centre experience and review of published data. Eur Heart J 2012; 33: 13861396.CrossRefGoogle ScholarPubMed
Diller, GP, Dimopoulos, K, Okonko, D, et al.Exercise intolerance in adult congenital heart disease: comparative severity, correlates, and prognostic implication. Circulation 2005; 112: 828835.CrossRefGoogle ScholarPubMed
World Health Organization [Internet]. Recommendations on physical activity for adults aged 18–64. Retrieved Feb 10, 2016, from https://www.who.int/dietphysicalactivity/factsheet_recommendations/en/Google Scholar
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: 196205.CrossRefGoogle ScholarPubMed
Sandberg, C, Pomeroy, J, Thilen, U, et al.Habitual physical activity in adults with congenital heart disease compared with age- and sex-matched controls. Can J Cardiol 2016; 32: 547553.CrossRefGoogle ScholarPubMed
Sullivan, M, Karlsson, J, Taft, C. SF-36 Hälsoenkät: Svensk Manualch Tolkningsguide (Swedish Manualnd Interpretation Guide), 2nd edn. Sahlgrenska University Hospital, Gothenburg, 2002: 93103.Google Scholar
Lee, IM, Shiroma, EJ, Lobelo, F, et al.Effect of physical inactivity on major non-communicable diseases worldwide: an analysis of burden of disease and life expectancy. Lancet 2012; 380: 219229.10.1016/S0140-6736(12)61031-9CrossRefGoogle ScholarPubMed
Kroonstrom, LA, Johansson, L, Zetterstrom, AK, et al.Muscle function in adults with congenital heart disease. Int J Cardiol 2014; 170: 358363.CrossRefGoogle ScholarPubMed
Marelli, AJ, Mackie, AS, Ionescu-Ittu, R, Rahme, E, Pilote, L. Congenital heart disease in the general population: changing prevalence and age distribution. Circulation 2007; 115: 163172.CrossRefGoogle ScholarPubMed
Mandalenakis, Z, Rosengren, A, Skoglund, K, et al.Survivorship in children and young adults with congenital heart disease in Sweden. JAMA Intern Med 2017; 177: 224330.CrossRefGoogle Scholar
Katch, V, McArdle, W, Katch, F. Essentials of Exercise Physiology, 4th edn. Lippincott Williams and Wilkins, Philadelphia, 2010.Google Scholar
Gratz, A, Hess, J, Hager, A. Self-estimated physical functioning poorly predicts actual exercise capacity in adolescents and adults with congenital heart disease. Eur Heart J 2009; 30: 497504.10.1093/eurheartj/ehn531CrossRefGoogle ScholarPubMed
Exercise tests in relation to cardiovascular function. Report of a WHO meeting. World Health Organ Tech Rep Ser 1968; 388: 1–30.Google Scholar
Sjöstrand, T. Changes in the respiratory organs of workmen at an ore smelting works. Acta Med Scand Suppl 1947; 196: 687699.Google Scholar
Wahlund, H. Determination of the physical working capacity. Acta Med Scand Suppl 1948; 215.Google Scholar
Arena, R, Myers, J, Williams, MA, et al.Assessment of functional capacity in clinical and research settings: a scientific statement from the American Heart Association Committee on Exercise, Rehabilitation, and Prevention of the Council on Clinical Cardiology and the Council on Cardiovascular Nursing. Circulation 2007; 116: 329343.10.1161/CIRCULATIONAHA.106.184461CrossRefGoogle ScholarPubMed
Borg, G. Ratings of perceived exertion and heart rates during short-term cycle exercise and their use in a new cycling strength test. Int J Sports Med 1982; 3: 153158.10.1055/s-2008-1026080CrossRefGoogle Scholar
Strandell, T. Circulatory studies on healthy old men. With special reference to the limitation of the maximal physical working capacity. Acta Med Scand Suppl 1964; 414: 144.Google ScholarPubMed
Brudin, L, Jorfeldt, L, Pahlm, O. Comparison of two commonly used reference materials for exercise bicycle tests with a Swedish clinical database of patients with normal outcome. Clin Physiol Funct Imaging 2014; 34: 297307.CrossRefGoogle ScholarPubMed
Craig, CL, Marshall, AL, Sjostrom, M, et al.International physical activity questionnaire: 12-country reliability and validity. Med Sci Sports Exerc 2003; 35: 13811395.CrossRefGoogle ScholarPubMed
Ekelund, U, Sepp, H, Brage, S, et al.Criterion-related validity of the last 7-day, short form of the International Physical Activity Questionnaire in Swedish adults. Public Health Nutr 2006; 9: 258265.CrossRefGoogle ScholarPubMed
Lee, PH, Macfarlane, DJ, Lam, TH, Stewart, SM. Validity of the International Physical Activity Questionnaire Short Form (IPAQ-SF): a systematic review. Int J Behav Nutr Phys Act 2011; 8: 115.CrossRefGoogle ScholarPubMed
Hagströmer, M, Bergman, P, Bauman, A, Sjöström, M. The international prevalence study (IPS): health-enhancing physical activity in Sweden. J Public Health 2006; 14: 301308.CrossRefGoogle Scholar
Bergman, P, Grjibovski, AM, Hagstromer, M, Bauman, A, Sjostrom, M. Adherence to physical activity recommendations and the influence of socio-demographic correlates – a population-based cross-sectional study. BMC Public Health 2008; 8: 367.10.1186/1471-2458-8-367CrossRefGoogle ScholarPubMed
Ware, JE Jr., Sherbourne, CD. The MOS 36-item short-form health survey (SF-36). I. Conceptual framework and item selection. Med Care 1992; 30: 473483.CrossRefGoogle ScholarPubMed
R Core Team [Internet]. R: A language and enviroment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. 2018. Retrieved February 28, 2017, from https://www.R-project.org/Google Scholar
SWEDCON [database on the Internet]. 2011. Retrieved October 25, 2016, from http://www.ucr.uu.se/swedcon/Google Scholar
Bennett, JA, Riegel, B, Bittner, V, Nichols, J. Validity and reliability of the NYHA classes for measuring research outcomes in patients with cardiac disease. Heart Lung 2002; 31: 262270.CrossRefGoogle ScholarPubMed
Munro, BH. Statistical Methods for Health Care Research. Lippincott Williams and Wilkins, Philadelphia, 2005.Google Scholar
Garber, CE, Blissmer, B, Deschenes, MR, et al.American College of Sports Medicine position stand. Quantity and quality of exercise for developing and maintaining cardiorespiratory, musculoskeletal, and neuromotor fitness in apparently healthy adults: guidance for prescribing exercise. Med Sci Sports Exerc 2011; 43: 13341359.10.1249/MSS.0b013e318213fefbCrossRefGoogle ScholarPubMed
Fletcher, GF, Landolfo, C, Niebauer, J, et al.Promoting physical activity and exercise: JACC health promotion series. J Am Coll Cardiol 2018; 72: 16221639.10.1016/j.jacc.2018.08.2141CrossRefGoogle ScholarPubMed
Bushman, B. How can I use METs to quantify the amount of aerobic exercise? ACSM’s Health Fit J 2012; 16: 57.CrossRefGoogle Scholar
Sandberg, C, Engstrom, KG, Dellborg, M, et al.The level of physical exercise is associated with self-reported health status (EQ-5D) in adults with congenital heart disease. Eur J Prev Cardiol 2015; 22: 240248.CrossRefGoogle Scholar
Dellborg, M, Bjork, A, Pirouzi Fard, MN, et al.High mortality and morbidity among adults with congenital heart disease and type 2 diabetes. Scand Cardiovasc J 2015; 49: 344350.Google ScholarPubMed
Roche, SL, Silversides, CK. Hypertension, obesity, and coronary artery disease in the survivors of congenital heart disease. Can J Cardiol 2013; 29: 841848.CrossRefGoogle ScholarPubMed
Fletcher, GF, Ades, PA, Kligfield, P, et al.Exercise standards for testing and training: a scientific statement from the American Heart Association. Circulation 2013; 128: 873934.CrossRefGoogle ScholarPubMed
Immer, FF, Althaus, SM, Berdat, PA, Saner, H, Carrel, TP. Quality of life and specific problems after cardiac surgery in adolescents and adults with congenital heart diseases. Eur J Cardiovasc Prev Rehabil 2005; 12: 138143.10.1097/00149831-200504000-00008CrossRefGoogle ScholarPubMed
Hager, A, Hess, J. Comparison of health related quality of life with cardiopulmonary exercise testing in adolescents and adults with congenital heart disease. Heart 2005; 91: 517520.10.1136/hrt.2003.032722CrossRefGoogle ScholarPubMed
World Medical Association [Internet]. Declaration of Helsinki. Retrieved February 18, 2020, from https://www.wma.net/policies-post/wma-declaration-of-helsinki-ethical-principles-for-medical-research-involving-human-subjects/Google Scholar
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Table 1. Descriptive data for the included patients, n = 747

Figure 1

Table 2. Exercise capacity and level of physical activity according to International Physical Activity Questionnaire in adults with CHD

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Table 3. Health-related quality of life according to the Short Form 36 in adults with CHD

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