Summary
Background:
There is a relationship between physical activity and health-related quality of life (HRQL) in healthy people and in patients with ischemic heart disease (IHD). The purpose of this study was to determine whether this relationship between sports or recreational physical activity levels and HRQL has a dose-response gradient in patients with IHD.
Methods:
Using one generic and three IHD-specific HRQL questionnaires, differences in HRQL scores (adjusted for confounders) were determined for physically a) inactive vs. active patients and b) inactive vs. patients being active 1–2, 3–5, or >5 times per week.
Results:
Data were provided by 6143 IHD-patients (angina: N = 2033; myocardial infarction: N = 2266; ischemic heart failure: N = 1844). Regardless of diagnosis or instrument used, when patients were dichotomized as either inactive or active, the latter reported throughout higher physical and emotional HRQL (all p < 0.001; d = 0.25–0.70). When categorized by physical activity levels, there was a positive HRQL dose-response gradient by increasing levels of physical activity that was most marked between inactive patients and those being active 1–2 times per week (63 82%). Conclusions: Using generic and IHD-specific HRQL questionnaires, there seems to be an overall dose-dependent gradient betweenincreasing levels of sports or recreational physical activity and higher HRQL in patients with angina, myocardial infarction, and ischemic heart failure. The greatest bang for the public health buck still lies on putting all the effort in changing sedentary lifestyle to at least a moderate active one (1–2 times per week), in particular in cardiac rehabilitation settings.
Similar content being viewed by others
Avoid common mistakes on your manuscript.
Introduction
“A little is better than none”. According to Blair et al. [1] this should be the public health message, with evidence of a decreasing health risk gradient with regular physical activity, encouraging the “most sedentary … to become at least moderately active” [2]. At about the same time, Rejeski et al. pointed out that “some positive change in a number of HRQL domain scores does occur when people elect to be more physically active” [3]. More recent data confirm that being physically active is associated with higher health-related quality of life (HRQL) in healthy adults [4,5,6,7] with more limited evidence in clinical populations, such as patients with cancer or heart disease [5, 8].
In the last decade, some observational and survey studies [9,10,11,12,13,14,15], randomized clinical trials [16,17,18] and evaluations of cardiac rehabilitation programs [19,20,21] reported a positive association between HRQL and physical activity in patients with ischemic heart disease (IHD). Nine reports identified the recruited patients as having coronary heart disease [9, 10, 12,13,14, 16,17,18,19], one meta-analysis included IHD patients who also had a myocardial infarction (MI) or angina [20], and the others included patients having a specific diagnosis like MI [11, 15] or ischemic heart failure [21]. These studies used 50-50 generic [10,11,12,13, 18, 19] and IHD-specific HRQL questionnaires [9, 14,15,16,17, 21], applied different strategies to measure physical activity: instruments with validation [11, 16,17,18,19], without validation [9, 10, 13, 15], both [12, 14] or with objective parameters [21], and included mostly cardiac patients in general. Therefore, the robustness of the evidence for a physical activity and HRQL dose-response gradient in patients with IHD is limited.
The HeartQoL project [22] provided an opportunity to respond to these limitations, analyzing data with one generic HRQL questionnaire: the Short-form 36 Health Survey (SF-36 v1) [23], and three IHD-specific HRQL questionnaires: the Seattle angina questionnaire (SAQ) [24], the Minnesota living with heart failure questionnaire (MLHF) [25], and the MacNew questionnaire (MacNew) [26]. Physical activity levels were assessed in terms of frequency with a dichotomous (yes/no) and a 4-level variable (none, 1–2, 3–5, >5 days/week) in 6143 IHD patients (angina: N = 2033; myocardial infarction: N = 2266; ischemic heart failure: N = 1844).
The aim of this study was to examine if there would be a positive dose-response gradient between increasing levels of sports or recreational physical activity and higher HRQL scores on different validated HRQL questionnaires in patients with angina, MI, or ischemic heart failure. In particular, the authors wanted to check the accuracy of the statement “a little is better than none” in terms of physical activity across the three major IHD diagnoses with various instruments in a large international sample.
Methods
The HeartQoL project was designed to develop an IHD-specific core HRQL questionnaire in patients with IHD who were recruited in 22 countries worldwide [22]. Patients with documented angina (Canadian Cardiovascular Society class II, III, or IV), MI between 1 and 6 months previously, or with ischemic heart failure (New York Heart Association class II, III, or IV, left ventricular dysfunction, and an ejection fraction <40%) were eligible for the HeartQoL project. With site-specific ethics committee approval for the HeartQoL project, all eligible patients provided written informed consent.
Measures
Short-form 36 Health Survey (SF-36, v1)
The SF-36 is a validated 36-item generic health survey summarized as physical component summary (PCS) and mental component summary (MCS) measure with higher norm-based standardized T‑values (mean 50 ± 10) indicating higher HRQL [23]. In this study, scores were estimated using standard (U.S.-derived) scoring algorithms which are recommend for purposes of multinational studies with many countries involved here [27]. Internal consistency was calculated with Cronbach’s alpha for PCS = 0.91 and for MCS = 0.89 in the study population.
Seattle angina questionnaire (SAQ)
The SAQ is a validated 19-item, functional status questionnaire designed for patients with IHD [24, 28] with five domain scales: physical limitations, angina stability, angina frequency, treatment satisfaction, and disease perception. Item scores are transformed to scales of 0–100 points with lower scores indicating worse levels of functioning. Only the SAQ physical limitation scores (9 items, score 1–6) were analyzed in terms of Cronbach’s alpha = 0.91 in the study population.
Minnesota living with heart failure questionnaire (MLHF)
The MLHF is a validated 21-item HRQL questionnaire designed for patients with heart failure [25], which is summarized as physical (8 items, score 0–40) and emotional dimension (5 items, score 0–25) with a global score (21 items, score 0–105) and lower scores indicating less dysfunction. Cronbach’s alpha was 0.92 (physical dimension), 0.86 (emotional dimension), and 0.93 (global scale) in this study.
MacNew questionnaire (MacNew)
The 27-item MacNew questionnaire is validated in patients with angina, MI, and heart failure [29]. The MacNew consists of a physical (13 items), emotional (14 items) and social (13 items) subscale with partly overlapping items which are summarized in a global scale with scores ranging from 1 to 7 (lower scores indicating worse HRQL) [29, 30]. Internal consistency was calculated with Cronbach’s alpha for the physical = 0.91, the emotional = 0.94, and the global scale = 0.95 in this sample.
Physical activity
All patients completed two items in the sociodemographic questionnaire which asked whether or not they participated in regular sports or recreational physical activity; if answered positively, they were then asked how often they participated, i.e., 1–2, 3–5, or >5 times/week [22].
Statistical analysis
Descriptive statistics (means, standard deviations, and frequencies) were used to illustrate the sample sociodemographic data and diagnoses. SF-36, SAQ, MLHF, and MacNew scores were adjusted for sex, age, disease severity, and number of comorbidities as potential confounders. With physical activity as independent and HRQL as dependent variable, analyses of covariance with Bonferroni correction and effect sizes (Cohen’s d ≥ 0.20 = small; ≥0.50 = medium; ≥0.80 = large effect) were used to test for HRQL score differences by activity level (active vs. inactive, and inactive vs. 1–2, 3–5, or >5 times/week) with each HRQL questionnaire. All analyses were carried out using SPSS 22 [31].
Results
Patient characteristics
Sociodemographic and clinical characteristics (Table 1)
The cohort in this HeartQoL project substudy consisted of 6143 patients with IHD (angina: N = 2033; MI: N = 2266; ischemic heart failure: N = 1844). Sociodemographic and cardiac risk factor details are provided in Table 1. Being physically inactive was reported by 48.7% of all patients, while the others were at least active 1–2 times per week. Patients with ischemic heart failure were most likely to be inactive (56.8%) (Table 1).
Physical activity levels and health-related quality of life
Generic health-related quality of life: SF 36 (Table 2)
The SF-36 was completed by 4845 patients (angina: N = 1723; MI: N = 1543; ischemic heart failure N = 1579).
Physically active versus inactive
Physically active patients in the total group and in each diagnosis reported higher PCS and MCS scores (higher HRQL) than inactive patients (all p < 0.001). The associated PCS effect size in the total cohort was d = 0.70 (angina d = 0.49, MI d = 0.61, ischemic heart failure d = 0.61), whereas the total MCS effect size was lower d = 0.28 (angina d = 0.25, MI d = 0.27, ischemic heart failure d = 0.34).
Levels of physical activity (times/week)
Higher PCS and MCS scores were associated with increasing levels of physical activity in the total group and in each diagnosis. In the total cohort, patients who were physically active 1–2, 3–5, and >5 times/week had higher PCS (p < 0.001; d = 0.55–0.65) and MCS (p < 0.001; d = 0.22–0.41) scores than inactive patients. In particular, patients with MI or ischemic heart failure had a higher physical and emotional benefit from more physical activity units. Associated PCS and MCS effect sizes for each diagnosis are shown in Table 2 with PCS effect sizes being consistently larger (d = 0.46–0.75) than MCS effect sizes (d = 0.21–0.45).
Specific health-related quality of life: SAQ, MLHF, and MacNew (Tables 3 and 4)
The Seattle angina questionnaire was only completed by patients with angina (N = 1831; Table 3).
Physically active versus inactive
Higher physical limitation SAQ scores (higher HRQL) were reported by physically active patients than inactive patients (p < 0.001; d = 0.51).
Levels of physical activity (times/week)
Significantly higher SAQ physical limitation scores were reported by patients who were physically active 1–2, 3–5, and >5 times/week when compared to inactive patients (all differences: p < 0.001; d = 0.43–0.60; Table 3).
The Minnesota living with heart failure questionnaire was only answered by patients with ischemic heart failure (N = 1685; Table 3).
Physically active versus inactive
Lower global (d = 0.53), physical (d = 0.61), and emotional (d = 0.34) MLHF scores (higher HRQL) were reported by physically active than by inactive patients (all p < 0.001).
Levels of physical activity (times/week)
Significantly lower global, physical, and emotional MLHF scores were reported by patients being physically active 1–2, 3–5, and >5 times/week when compared to inactive patients (p < 0.001–0.004). Associated MLHF global effect sizes for inactive versus increasingly physically active patients with ischemic heart failure ranged from d = 0.40 to 0.75 (physical dimension: d = 0.49–0.80; emotional dimension: d = 0.25–0.50; Table 3).
The MacNew questionnaire was completed by 5039 patients (angina: N = 1921; MI: N = 2235; ischemic heart failure: N = 1781; Table 4).
Physically active versus inactive
Physically active patients in the total group and in patients with angina, MI, or ischemic heart failure reported higher global, physical, and emotional MacNew scores (higher HRQL) than inactive patients (all p < 0.001). Associated global effect sizes in total were d = 0.57 (angina d = 0.50, MI d = 0.50, ischemic heart failure d = 0.48); the corresponding physical subscale effect sizes ranged from d = 0.50 to 0.61, and the emotional subscale effect sizes from d = 0.35 to 0.48.
Levels of physical activity (times/week)
Significantly higher MacNew global, physical, and emotional scores in the total group and in each diagnosis were associated with increasing levels of physical activity when compared to inactive patients (all p < 0.001). The associated global (d = 0.38–0.67) and subscale effect sizes (physical d = 0.42–0.78; emotional d = 0.26–0.64) for inactive versus increasingly physically active patients are detailed in Table 4. In the total cohort, small effects were found in patients being physically active >5 times/week, reporting higher global (d = 0.20) and emotional subscale (d = 0.29) HRQL scores than patients being physically active 1–2 times/week. All other HRQL scores and effect sizes are shown in Table 4.
“A little is better than none”? (Fig. 1)
As the largest incremental differences (63–82%) in physical HRQL between inactive patients and those who were active either 1–2, 3–5, or >5 times/week, were observed in patients who were active 1–2 times/week (Fig. 1), the question “a little is better than none” can be positively answered based on the empirical evidence found.
Discussion
Whether sports and recreational physical activity were measured either as a dichotomous or as a four-level variable, physically active patients with angina, MI, or ischemic heart failure consistently reported significantly higher generic and IHD-specific HRQL scores (adjusted for sex, age, disease severity, and the number of comorbidities) than were reported by physically inactive patients in this study. The only exceptions contrary to increasing levels of activity and simultaneously higher HRQL were the SF-36 MCS and SAQ physical limitation scores in patients with angina who were physically active 3–5 times/week. They reported higher physical HRQL and less limitations than patients being active >5 times/week. This might probably be the result of patients with angina limiting activity levels to a more moderate frequency due to chest discomfort when being active more often. Although the cross-sectional nature of the HeartQoL project precludes determination of a causal physical activity and HRQL dose-response relationship, the results in this study provide substantiation of a positive HRQL dose-response gradient in patients with IHD with increasing levels of physical activity levels associated with higher HRQL scores.
A major factor differentiating the findings in the current study examining the relationship between physical activity and HRQL is that data on patients with each of the three major IHD diagnoses, i.e. angina, MI, and ischemic heart failure, are available from the same sample. In contrast, the majority of the studies published in 2010 or later included patients with IHD in general without specifying an exact diagnosis [9, 10, 12,13,14, 16,17,18,19]. Furthermore, the second major difference between this study and the others published in the last decade is that all patients here completed one generic (SF-36) and three IHD-specific core questionnaires (SAQ, MLHF, MacNew) underlining the robustness of the positive HRQL dose-response gradient across generic and specific questionnaires. Finally, all patients provided data on their regular sports or recreational physical activity as both a dichotomous and a multilevel variable.
Regardless of whether physical activity was reported as a dichotomous or multilevel variable, and whether HRQL was assessed with a generic or an IHD-specific questionnaire, all of the HRQL scores and effect sizes between inactive patients and patients being active 1–2, 3–5, and >5 times/week (except for the SF-36 PCS and SAQ in patients with angina) were incrementally higher than or equal to those at the lower physical activity level. As the physical HRQL dimension was common to each of the used questionnaires, these scores were scrutinized for evidence of a gradient between increasing physical activity levels and higher HRQL. The largest incremental differences in physical HRQL between inactive and active patients at different levels were found at an average of 72% in patients who were active at least 1–2 times/week. These observations provide further evidence of a positive dose-gradient between increasing physical activity and higher HRQL in the cardiac cohort as a whole and in each IHD diagnosis reinforcing the earlier observations that doing some activity gives patients “the greatest bang for their HRQL buck”, i.e., essentially that some physical activity is better than none [1,2,3]. Importantly from a clinical counseling perspective [32], the dose-response gradient between HRQL and increasing levels of physical activity is particularly marked in patients who are active at least 1–2 times/week when compared to inactive patients. This would support physicians and other healthcare professionals when counseling patients to change their lifestyle behavior. Based on the guidelines of the Secondary Prevention and Rehabilitation Section of the European Association of Preventive Cardiology [33], exercise training should follow an individual approach after careful clinical evaluation in patients across a wide spectrum of cardiovascular diseases. General exercise recommendations focus more on the improvement of cardiac patients’ physical capacity, i.e. frequency, intensity, duration, and type of exercise and not on their HRQL. The specific exercise recommendations include a frequency of at least 3 days per week, a moderate intensity of 45–59% of peak oxygen consumption, 50–70% of peak watts, 55–69% of peak heart rate, 4–6 metabolic equivalents or the speech rule, a duration of at least 20–30 min per session, and aerobic, resistance/strength, flexibility, balance, and/or muscle training.
Both the robustness and the frequency of documenting a dose-response relationship between HRQL and physical activity are negatively influenced by the predominance of studies with a cross-sectional design and by the range of instruments used to measure both HRQL and physical activity in general [4] and clinical populations [8]. In this study, limitations include the cross-sectional study design and the limited two-item self-report physical activity levels as well as the 8‑year recruitment time span of patients living in 22 different countries with 15 different languages. Moreover, the presented results are based on less female than male patients (about one quarter of the study sample) implying caution with interpretations. Therefore, future studies should use in-depth tools, such as activity tracking devices, electronic diaries, and experience sampling methods when examining cardiac patients’ physical activity.
On the other hand, regardless of the specific IHD diagnosis and the HRQL questionnaire used, inactive patients reported poorer HRQL, active patients reported higher HRQL, and higher HRQL scores usually reflected an increase in physical activity levels. From a measurement point of view, these data substantially increase the robustness of a positive gradient with increasing physical activity levels and higher HRQL in patients with IHD.
Conclusion
The relationship between higher HRQL and regular recreational physical activity or sports was shown with both dichotomous (yes/no) and increasing levels of regular physical activity (none vs. 1–2, 3–5, and >5 times/week), with generic and IHD diagnosis-specific HRQL questionnaires, and with each specific IHD diagnosis, i.e. angina, MI, or ischemic heart failure. The greatest bang for the public health buck still lies on putting all the effort in changing sedentary lifestyle to at least a moderate active one such as that recommended in cardiac rehabilitation settings.
References
Blair SN, Kohl HW, Gordon NF, Paffenbarger RS Jr.. How much physical activity is good for health? Annu Rev Public Health. 1992;13:99–126. https://doi.org/10.1146/annurev.pu.13.050192.000531.
Blair SN, Connelly JC. How much physical activity should we do? The case for moderate amounts and intensities of physical activity. Res Q Exerc Sport. 1996;67:193–205. https://doi.org/10.1080/02701367.1996.10607943.
Rejeski WJ, Brawley LR, Shumaker SA. Physical activity and health-related quality of life. Exerc Sport Sci Rev. 1996;24:71–108.
Bize R, Johnson JA, Plotnikoff RC. Physical activity level and health-related quality of life in the general adult population: a systematic review. Prev Med. 2007;45:401–15. https://doi.org/10.1016/j.ypmed.2007.07.017.
Gillison FB, Skevington SM, Sato A, Standage M, Evangelidou S. The effects of exercise interventions on quality of life in clinical and healthy populations; a meta-analysis. Soc Sci Med. 2009;68:1700–10. https://doi.org/10.1016/j.socscimed.2009.02.028.
Anokye NK, Trueman P, Green C, Pavey TG, Taylor RS. Physical activity and health related quality of life. BMC Public Health. 2012;12:624. https://doi.org/10.1186/1471-2458-12-624.
Vagetti GC, Barbosa Filho VC, Moreira NB, Oliveira V, Mazzardo O, Campos W. Association between physical activity and quality of life in the elderly: a systematic review, 2000–2012. Rev Bras Psiquiatr. 2014;36:76–88. https://doi.org/10.1590/1516-4446-2012-0895.
Shepherd CW, While AE. Cardiac rehabilitation and quality of life: a systematic review. Int J Nurs Stud. 2012;49:755–71. https://doi.org/10.1016/j.ijnurstu.2011.11.019.
Sevinc S, Akyol AD. Cardiac risk factors and quality of life in patients with coronary artery disease. J Clin Nurs. 2010;19:1315–25. https://doi.org/10.1111/j.1365-2702.2010.03220.x.
De Smedt D, Clays E, Annemans L, et al. Health related quality of life in coronary patients and its association with their cardiovascular risk profile: results from the EUROASPIRE III survey. Int J Cardiol. 2013;168:898–903. https://doi.org/10.1016/j.ijcard.2012.10.053.
Hawkes AL, Patrao TA, Ware R, Atherton JJ, Taylor CB, Oldenburg BF. Predictors of physical and mental health-related quality of life outcomes among myocardial infarction patients. BMC Cardiovasc Disord. 2013;13:69. https://doi.org/10.1186/1471-2261-13-69.
De Smedt D, Clays E, Annemans L, et al. The association between self-reported lifestyle changes and health-related quality of life in coronary patients: the EUROASPIRE III survey. Eur J Prev Cardiol. 2014;21:796–805. https://doi.org/10.1177/2047487312473846.
Wang L, Wu YQ, Tang X, et al. Profile and correlates of health-related quality of life in Chinese patients with coronary heart disease. Chin Med J. 2015;128:1853–61. https://doi.org/10.4103/0366-6999.160486.
De Smedt D, Clays E, Hofer S, et al. The use of HeartQoL in patients with coronary heart disease: association with risk factors and European reference values. The EUROASPIRE IV study of the European Society of Cardiology. Eur J Prev Cardiol. 2016;23:1174–86. https://doi.org/10.1177/2047487316631400.
Lovlien M, Mundal L, Hall-Lord ML. Health-related quality of life, sense of coherence and leisure-time physical activity in women after an acute myocardial infarction. J Clin Nurs. 2017;26:975–82. https://doi.org/10.1111/jocn.13411.
Reid RD, Morrin LI, Beaton LJ, et al. Randomized trial of an internet-based computer-tailored expert system for physical activity in patients with heart disease. Eur J Prev Cardiol. 2012;19:1357–64. https://doi.org/10.1177/1741826711422988.
Melamed RJ, Tillmann A, Kufleitner HE, Thurmer U, Dursch M. Evaluating the efficacy of an education and treatment program for patients with coronary heart disease. Dtsch Arztebl Int. 2014;111:802–8. https://doi.org/10.3238/arztebl.2014.0802.
Maddison R, Pfaeffli L, Whittaker R, et al. A mobile phone intervention increases physical activity in people with cardiovascular disease: results from the HEART randomized controlled trial. Eur J Prev Cardiol. 2015;22:701–9. https://doi.org/10.1177/2047487314535076.
del Pozo-Cruz B, Carrick-Ranson G, Reading S, Nolan P, Dalleck LC. The relationship between exercise dose and health-related quality of life with a phase III cardiac rehabilitation program. Qual Life Res. 2018;27:993–8. https://doi.org/10.1007/s11136-018-1784-9.
Anderson L, Oldridge N, Thompson DR, et al. Exercise-based cardiac rehabilitation for coronary heart disease: cochrane systematic review and meta-analysis. J Am Coll Cardiol. 2016;67:1–12. https://doi.org/10.1016/j.jacc.2015.10.044.
Evangelista LS, Hamilton MA, Fonarow GC, Dracup K. Is exercise adherence associated with clinical outcomes in patients with advanced heart failure? Phys Sportsmed. 2010;38:28–36. https://doi.org/10.3810/psm.2010.04.1759.
Oldridge N, Höfer S, McGee H, et al. The HeartQoL: Part I. development of a new core health-related quality of life questionnaire for patients with ischemic heart disease. Eur J Prev Cardiol. 2014;21:90–7. https://doi.org/10.1177/2047487312450544.
Ware J, Kosinski M. The SF-36 physical and mental health summary scales: a manual for users of version 1. 2nd ed. Lincoln: QualityMetric Incorporated; 2005.
Spertus JA, Winder JA, Dewhurst TA, Deyo RA, Fihn SD. Monitoring the quality of life in patients with coronary artery disease. Am J Cardiol. 1994;74:1240–4.
Rector TS, Kubo SH, Cohn JN. Patients’ self-assessment of their congestive heart failure: Part 2. Content, reliability, and validity of a new measure, the Minnesota Living with Heart Failure questionnaire. Heart Fail. 1987;3:198–209.
Valenti L, Lim L, Heller RF, Knapp J. An improved questionnaire for assessing quality of life after myocardial infarction. Qual Life Res. 1996;5:151–61. https://doi.org/10.1007/BF00435980.
Ware JE, Gandek B, Kosinski M, et al. The equivalence of SF-36 summary health scores estimated using standard and country-specific algorithms in 10 countries: results from the IQOLA project. J Clin Epidemiol. 1998;51:1167–70.
Spertus JA, Winder JA, Dewhurst TA, et al. Development and evaluation of the Seattle Angina Questionnaire: a new functional status measure for coronary artery disease. J Am Coll Cardiol. 1995;25:333–41. https://doi.org/10.1016/0735-1097(94)00397-9.
Höfer S, Lim LL, Guyatt GH, Oldridge N. The macnew heart disease health-related quality of life instrument: a summary. Health Qual Life Out. 2004;2:3. https://doi.org/10.1186/1477-7525-2-3.
MacNew.org. MacNew health-related quality of life instrument. 2018. http://www.macnew.org/wp/. Accessed 9 July 2019.
Corporation IBM. IBM SPSS statistics for windows, version 22.0. Armonk, New York: IBM Corporation; 2013.
Feeny D, Garner R, Bernier J, et al. Physical activity matters: associations among body mass index, physical activity, and health-related quality of life trajectories over 10 years. J Phys Act Health. 2014;11:1265–75. https://doi.org/10.1123/jpah.2012-0268.
Ambrosetti M, Abreu A, Corrà U, et al. Secondary prevention through comprehensive cardiovascular rehabilitation: from knowledge to implementation. 2020 update. A position paper from the Secondary Prevention and Rehabilitation Section of the European Association of Preventive Cardiology. Eur J Prev Cardiol. 2020; https://doi.org/10.1177/2047487320913379.
Funding
This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors.
Funding
Open access funding provided by University of Innsbruck and Medical University of Innsbruck.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of interest
A. Huber, S. Höfer, H. Saner, and N. Oldridge declare that they have no competing interests.
Additional information
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
The authors A. Huber and S. Höfer contributed equally to the manuscript.
Rights and permissions
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
About this article
Cite this article
Huber, A., Höfer, S., Saner, H. et al. A little is better than none: the biggest gain of physical activity in patients with ischemic heart disease. Wien Klin Wochenschr 132, 726–735 (2020). https://doi.org/10.1007/s00508-020-01767-x
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00508-020-01767-x