Abstract
Background
Information about the influence of regular physical activity on the course of chronic obstructive pulmonary disease (COPD) is scarce. A study was undertaken to examine the association between regular physical activity and both hospital admissions for COPD and all‐cause and specific mortality in COPD subjects.
Methods
From a population‐based sample recruited in Copenhagen in 1981–3 and 1991–4, 2386 individuals with COPD (according to lung function tests) were identified and followed until 2000. Self‐reported regular physical activity at baseline was classified into four categories (very low, low, moderate, and high). Dates and causes of hospital admissions and mortality were obtained from Danish registers. Adjusted associations between physical activity and hospital admissions for COPD and mortality were obtained using negative binomial and Cox regression models, respectively.
Results
After adjustment for relevant confounders, subjects reporting low, moderate or high physical activity had a lower risk of hospital admission for COPD during the follow up period than those who reported very low physical activity (incidence rate ratio 0.72, 95% confidence interval (CI) 0.53 to 0.97). Low, moderate and high levels of regular physical activity were associated with an adjusted lower risk of all‐cause mortality (hazard ratio (HR) 0.76, 95% CI 0.65 to 0.90) and respiratory mortality (HR 0.70, 95% CI 0.48 to 1.02). No effect modification was found for sex, age group, COPD severity, or a background of ischaemic heart disease.
Conclusions
Subjects with COPD who perform some level of regular physical activity have a lower risk of both COPD admissions and mortality. The recommendation that COPD patients be encouraged to maintain or increase their levels of regular physical activity should be considered in future COPD guidelines, since it is likely to result in a relevant public health benefit.
Keywords: chronic obstructive pulmonary disease, physical activity, hospitalisation, mortality
Chronic obstructive pulmonary disease (COPD), with a prevalence in adults of 6–7%,1 is one of the main causes of morbidity and a leading cause of death worldwide.2 Reducing admissions to hospital due to COPD exacerbations is a prime aim in the management of the disease3,4 because of its high economic and social costs.5 Currently only oxygen therapy, some bronchodilators and glucocorticoids, and influenza vaccinations are considered effective in improving the course of the disease—either by reducing the frequency of hospital admission for COPD or mortality.3,4 In a previous study conducted in a cohort of 346 patients with moderate to severe COPD followed up for 1 year in Barcelona, Spain, subjects with COPD who reported physical activity equivalent to walking at least 1 hour/day had a lower risk of admission for a COPD exacerbation than those who reported physical activity equivalent to walking only 20 minutes/day or less.6 The finding was considered important because of its potentially significant beneficial impact and its implications with regard to reducing health costs.7 Indeed, among the current internationally recognised COPD guidelines, only those produced by the British Thoracic Society8 recommend that COPD patients be encouraged to increase their levels of regular physical activity, a recommendation which as yet is not evidence‐based. From a public health point of view, and considering the large amount of health benefits associated with the practice of physical activity,9 the possibility that higher levels of regular physical activity such as walking or cycling could be associated with an improvement in the course of COPD is worthy of further investigation. The lack of research on the influence of regular physical activity on the natural history of COPD is in contrast to that existing for other chronic diseases such as type 2 diabetes10 or cancer11,12 in which higher levels of physical activity (equivalent to walking 3–5 hours/week) have even been related to a reduced risk of death from the chronic disease in question.13 In the present study we examined the association between regular physical activity and both hospital admission due to COPD and all‐cause and specific mortality in a large prospective cohort study of COPD subjects sampled from the general population in Copenhagen and followed up for a mean of 12.0 years. The study is part of the Copenhagen City Heart Study (CCHS) which has already provided relevant information about the course of COPD.14,15,16
Methods
Study design and population
The CCHS involves the study of an ongoing prospective cohort of adults recruited from the general population, with repeated examinations every 5–10 years. A random age stratified sample of the general population aged 20 years or more was drawn from the Copenhagen Population Register as of 1 January 1976 and a first examination (n = 14 223) took place in 1976–8. At the second examination 5 years later (1981–3), the cohort was supplemented with a new sample of subjects aged 20–24 years (total n = 12 698). In the third examination (1991–4) the sample was supplemented with 20–49 year old subjects (total n = 10 135).17,18 The institutional review board and Danish regional ethics committees approved the research protocol. Participants gave written informed consent.
Since the first CCHS examination provided limited information about regular physical activity, for the present study we selected all participants included in the second examination (1981–3) together with the complementary sample of the third CCHS examination (1991–4). Of these 15 563 subjects, 2386 met the criteria for COPD and were included in the present analysis. COPD was defined on the basis of lung function test results including forced expiratory volume in 1 second (FEV1) and forced vital capacity (FVC) as the presence of airway obstruction (FEV1/FVC ⩽70%) and classified according to the degree of airway obstruction:3,4 mild (FEV1 ⩾80%), moderate (FEV1 <80% and ⩾50%), severe (FEV1 <50% and ⩾30%), and very severe (FEV1 <30%). Subjects who, in addition to COPD, reported having suffered asthma (n = 268) were initially included, although a later sensitivity analysis excluded this group. The date of participation in the second CCHS examination or—in those newly recruited from the third CCHS examination, the date of participation in the third CCHS examination—was considered the start of the follow up period. Subjects were followed up either to the time of death or to 28 December 2000, with a mean of 12 years follow up (range 0.5–20 years) providing a total of 28 747 person years.
Measurements
Identical methods were applied in the second and third CCHS examinations and have been previously described in detail.17,18 For the present analysis only the measurements of physical activity and other independent variables obtained at the start of the follow up period were used. A self‐administered questionnaire on regular physical activity over the previous 12 months, current smoking and alcohol consumption, socioeconomic factors (sex, age, education, marital status, cohabitation, income), current symptoms (dyspnoea,19 sputum, chest pain, leg pain and intermittent claudication), a diagnosis of co‐morbidity at any time (asthma, ischaemic heart disease, myocardial infarction, stroke, diabetes), and health service use over the previous 12 months was completed and checked by the CCHS staff. Blood pressure, plasma cholesterol, glucose concentrations, and body mass index were also measured. Clinical records were reviewed to obtain information about co‐morbidity.
Physical activity was measured using a questionnaire originally developed by Saltin and Grimby20 which discriminates between sedentary persons and their more active counterparts with respect to maximal oxygen uptake,21 and has been widely used to describe the effects of physical activity on health outcomes in similar types of populations.22,23 Physical activity variables included physical activity at work, physical activity during leisure time, jogging, cycling in winter, and cycling in summer. The level of physical activity was classified as previously reported:24 (1) low: engaging in light physical activity such as walking or biking for less than 2 hours/week; (2) moderate: engaging in light physical activity for 2–4 hours/week; and (3) high: engaging in light physical activity for more than 4 hours/week or in more vigorous activity for any frequency. As we have previously reported differences in the risk of hospital admission for COPD between subjects who reported low levels of physical activity and those who reported very low physical activity,6 in the present analysis the “low” category was split into very low physical activity (corresponding to those who reported mainly sitting during work, no activity during leisure time, and no jogging or cycling) and low levels of physical activity for the remaining subjects.
Lung function parameters (FEV1 and FVC) were measured at the second CCHS examination with an electronic spirometer (Model N403; Monaghan, Littleton, CO, USA) which was calibrated daily with a 1 litre syringe and weekly against a water sealed Godard spirometer. At the third examination a dry wedge spirometer (Vitalograph, Maidenhead, UK), calibrated daily with a 1 litre syringe, was used. At each examination three sets of values were obtained and at least two measurements differing by less than 5% had to be produced. The highest measurements of FEV1 and FVC were used in the analyses as absolute values and as percentage of predicted values, using internally derived reference values based on a subsample of healthy never smokers.25 Information about hospital admissions (dates and diagnoses on discharge) both before the start and during follow up was obtained from the National Patient Register which covers all Danish hospitals and is administered by the National Board of Health. COPD admission was defined as any admission classified as ICD‐8 codes 490‐492 or ICD‐10 codes J40–J44 for the main diagnosis. Data on deaths and the causes thereof were obtained from the Danish National Board of Health. Cause of death was defined according to the following ICD codes for the immediate cause of death: COPD deaths 490–492 (ICD‐8) or J40‐J44 (ICD‐10); respiratory deaths 460‐519 (ICD‐8) or J00‐J99 (ICD‐10), and cardiovascular deaths 390–458 (ICD‐8) or I00‐I99 (ICD‐10).
Statistical analysis
Kaplan‐Meier curves and log rank tests of both COPD admission and mortality were performed after stratifying by levels of regular physical activity. In multivariate analysis, physical activity categories were a priori combined into “very low” and “low, moderate or high” levels according to the results of a previous study.6
For the study of the association between physical activity and COPD admission, the use of Poisson regression26 was ruled out because of the presence of overdispersion in our data and a high proportion of subjects not experiencing hospital admission. Instead, zero‐inflated negative binomial regression with the number of COPD admissions as the outcome was used since it takes into account individuals more prone to repeated admission and provides more conservative confidence intervals and p values.27 In addition, Cox proportional hazards regression, modelling time from recruitment to first event, was used with COPD admission and mortality (all‐cause, respiratory and cardiovascular) as the outcomes, checking the proportionality of multivariate models.
Among the variables detailed above, those considered as potential confounders of the association between physical activity and COPD admission or mortality were tested and were maintained in the final multivariate models if they were independently associated both with the outcome and exposure (p<0.05) or if they modified the risk ratio estimate for any of the remaining covariates (⩾5% change).28 Final models were built keeping the most parsimonious model that still explains the data.
The final multivariate models for both COPD admission and mortality were stratified according to sex, age, COPD severity, and history of ischaemic heart disease. If differences in the risk estimate were found, interaction terms among variables where effect modification was plausible were tested for. For the sensitivity analyses, the final models for admission and mortality were run excluding subjects with self‐reported asthma, those who had never smoked, and those less than 40 years of age. The analysis was performed using Stata release 8.0 (StataCorp, College Station, TX, USA).
Results
Description of sample and events (COPD admission, death) during follow up
A total of 2386 subjects with COPD were included in the study. At baseline half were men, mean age was 60 years, mean body mass index 24.9 kg/m2, 12% reported having suffered asthma at some time, and 71% were current smokers (table 1).
Table 1 Baseline characteristics of 2386 COPD subjects recruited from the general population in Copenhagen, Denmark.
| All subjects* (n = 2386) | Women (n = 1100) | Men (n = 1286) | |
|---|---|---|---|
| Sex, n (%) | 1100 (46.1) | 1286 (53.9) | |
| Mean (SD) age (years) | 59.5 (10.9) | 59.3 (10.8) | 59.7 (11.0) |
| Education (mean (SD) years at school) | 8.3 (1.9) | 8.3 (1.8) | 8.4 (2.0) |
| Low income, n (%)† | 946 (40.9) | 498 (47.8) | 448 (35.2) |
| Mean (SD) BMI (kg/m2) | 24.9 (4.2) | 24.2 (4.5) | 25.6 (3.8) |
| Ischaemic heart disease, n (%)‡ | 634 (26.6) | 249 (22.6) | 385 (29.9) |
| Asthma, n (%)‡ | 268 (11.8) | 131 (12.5) | 137 (11.3) |
| Dyspnoea, n (%)‡ | |||
| 0 (no dyspnoea) | 978 (41.1) | 421 (38.5) | 557 (43.4) |
| 1 (dyspnoea in effort) | 841 (35.4) | 410 (37.5) | 431 (33.6) |
| 2 (dyspnoea walking) | 240 (10.1) | 119 (10.9) | 121 (9.4) |
| 3 (dyspnoea at rest) | 318 (13.4) | 144 (13.1) | 174 (13.6) |
| Sputum, n (%)¶ | 939 (39.4) | 381 (34.7) | 558 (43.5) |
| Smoking, n (%) | |||
| Never | 230 (9.7) | 174 (15.9) | 56 (4.3) |
| Ex | 459 (19.3) | 184 (16.8) | 275 (21.4) |
| Current | 1692 (71.0) | 737 (67.3) | 955 (74.3) |
| COPD severity (GOLD stages), n (%)§ | |||
| I: Mild (FEV1 ⩾80%) | 833 (35.1) | 363 (33.1) | 470 (36.7) |
| II: Moderate (FEV1 <80% and ⩾50%) | 1095 (46.1) | 521 (47.6) | 574 (44.8) |
| III: Severe (FEV1 <50% and ⩾30%) | 354 (14.9) | 166 (15.2) | 188 (14.7) |
| IV: Very severe (FEV1 <30%) | 94 (3.9) | 45 (4.1) | 49 (3.8) |
| Any medical visit to any doctor in previous year, n (%)** | 1871 (78.8) | 911 (83.2) | 960 (74.9) |
*The numbers do not always add up to 2386 as some values are missing for certain variables: 11 in education, 5 in cohabitation, 72 in income, 12 in BMI, 117 in asthma, 9 in dyspnoea, 5 in sputum, 5 in smoking, 10 in lung function, and 10 in visits to doctors.
†Low household income was defined as income lower than 4000 Danish kroner per month.
‡Ischaemic heart disease and asthma were self‐reported and obtained from medical records. Dyspnoea was self‐reported and categorised according to the Modified British Medical Research Council questionnaire.19
¶Sputum was considered present if subjects answered positively to the question “Do you usually bring up phlegm from your chest in the morning or during the day?”.
§COPD severity was classified according to GOLD stages.3
**Any medical visit to any doctor in previous year includes visits to the general practitioner, specialist, emergency room or private doctor.
Classification of severity according to GOLD stages showed a high prevalence of mild (35%) and moderate (46%) COPD. Very low, low, moderate, and high levels of physical activity were reported by 9%, 12%, 46%, and 33% of subjects, respectively (table 2). Subjects with more severe COPD had lower levels of physical activity.
Table 2 Regular physical activity in 2386* COPD subjects recruited from the general population in Copenhagen, Denmark according to COPD severity (GOLD stages).
| All subjects (n = 2386) | GOLD I: Mild (n = 833) | GOLD II: Moderate (n = 1095) | GOLD III: Severe (n = 354) | GOLD IV: Very severe (n = 94) | p value (χ2 test) | |
|---|---|---|---|---|---|---|
| Physical activity at work | ||||||
| Mainly sitting | 824 (40.0) | 280 (38.7) | 365 (37.9) | 129 (43.7) | 44 (61.1) | 0.003 |
| Sitting and standing | 763 (37.0) | 254 (35.1) | 376 (39.0) | 111 (37.6) | 20 (27.8) | |
| Walking & lifting | 392 (19.0) | 156 (21.6) | 182 (18.9) | 48 (16.3) | 6 (8.3) | |
| Heavy activity | 83 (4.0) | 33 (4.6) | 41 (4.2) | 7 (2.4) | 2 (2.8) | |
| Physical activity during leisure time | ||||||
| Light activity <2 h/week and no heavy activity | 540 (22.7) | 123 (14.8) | 246 (22.6) | 124 (35.2) | 42 (45.2) | <0.001 |
| Light activity 2–4 h/week and no heavy activity | 1073 (45.2) | 385 (46.4) | 506 (46.4) | 143 (40.6) | 37 (39.8) | |
| Light activity >4 h/week and/or heavy activity <4 h/week | 713 (30.0) | 296 (35.7) | 318 (29.2) | 82 (23.3) | 14 (15.0) | |
| Heavy activity >4 h/week | 49 (2.1) | 26 (3.1) | 20 (1.8) | 3 (0.9) | 0 (0) | |
| Jogging | 39 (1.6) | 20 (2.4) | 17 (1.6) | 2 (0.6) | 0 (0) | 0.068 |
| Cycling winter (hours/week) | ||||||
| No | 1839 (77.5) | 582 (70.4) | 865 (79.4) | 299 (84.9) | 83 (89.2) | <0.001 |
| <0.5 | 224 (9.5) | 108 (13.1) | 85 (7.8) | 25 (7.1) | 6 (6.5) | |
| 0.5–1 | 180 (7.6) | 79 (9.5) | 79 (7.3) | 19 (5.4) | 3 (3.2) | |
| 1–2 | 97 (4.1) | 41 (4.9) | 49 (4.5) | 6 (1.7) | 1 (1.1) | |
| >2 | 31 (1.3) | 17 (2.1) | 11 (1.0) | 3 (0.9) | 0 (0) | |
| Cycling summer (hours/week) | ||||||
| No | 1481 (62.5) | 429 (51.9) | 705 (64.7) | 260 (74.0) | 78 (84.8) | <0.001 |
| <0.5 | 273 (11.5) | 124 (15.0) | 114 (10.4) | 29 (8.2) | 6 (6.5) | |
| 0.5–1 | 291 (12.3) | 136 (16.4) | 122 (11.2) | 29 (8.2) | 3 (3.2) | |
| 1–2 | 195 (8.2) | 86 (10.4) | 90 (8.3) | 17 (4.8) | 2 (2.2) | |
| >2 | 131 (5.5) | 52 (6.3) | 59 (5.4) | 17 (4.8) | 3 (3.3) | |
| Physical activity summary score | ||||||
| Very low | 219 (9.2) | 45 (5.4) | 97 (8.9) | 54 (15.3) | 20 (21.5) | <0.001 |
| Low | 294 (12.4) | 69 (8.3) | 138 (12.7) | 65 (18.5) | 20 (21.5) | |
| Moderate | 1089 (45.8) | 389 (46.9) | 511 (46.9) | 148 (42) | 39 (41.9) | |
| High | 773 (32.6) | 327 (39.4) | 344 (31.5) | 85 (24.2) | 14 (15.1) |
Values are presented as n (%).
*The numbers do not always add up to 2386 as some values are missing for certain variables: 324 in physical activity at work, 11 in physical activity during leisure time, 8 in jogging, 15 in cycling in winter, 15 in cycling in summer, and 10 in lung function (GOLD stage).
During the mean (SD) follow up period of 12.0 (5.9) years, 22% of participants had at least one hospital admission due to COPD (median 3, interquartile range 1–5 for those with an admission). As expected, the subjects admitted to hospital were older, had a higher proportion of cardiovascular disease and asthma, performed lower levels of physical activity, and suffered more severe COPD. The time to first COPD admission during follow up was shorter for the subjects with lower levels of physical activity (fig 1A).
Figure 1 (A) Kaplan‐Meier curve of time to first COPD admission during follow up according to level of regular physical activity. (B) Kaplan‐Meier curve of time to death (all‐cause mortality) according to level of regular physical activity.
During the follow up period 1425 subjects (60%) died. Death from respiratory and cardiovascular diseases constituted 18% and 32% of all deaths, respectively, with 14% of deaths due to COPD. The subjects who died were older, had a higher proportion of cardiovascular disease and diabetes, performed lower levels of physical activity, and also suffered more severe COPD. The time to death was shorter in subjects with lower levels of physical activity (fig 1B).
Association between physical activity and both COPD hospital admission and mortality
In the multivariate negative binomial model with the number of COPD admissions as the outcome, subjects who reported low, moderate, or high levels of physical activity had a lower risk of a COPD admission than those reporting a very low level of physical activity, after adjusting for confounders (incidence rate ratio (IRR) 0.72, 95% CI 0.53 to 0.97, p = 0.033; table 3). Using the time to first COPD admission as the outcome in a multivariate Cox regression model yielded very similar results (hazard ratio (HR) 0.76, 95% CI 0.58 to 0.99, p = 0.039).
Table 3 Crude and adjusted associations between level of physical activity and number of COPD admissions in COPD subjects (zero‐inflated negative binomial regression).
| n* | Crude IRR (95% CI) | p value | Adjusted† IRR (95% CI) | p value | |
|---|---|---|---|---|---|
| Physical activity (combined) | |||||
| Very low | 219 | 1 | 1 | ||
| Low/moderate/high | 2155 | 0.63 (0.46 to 0.86) | 0.004 | 0.72 (0.53 to 0.97) | 0.033 |
| Physical activity (categories) | |||||
| Very low | 219 | 1 | 1 | ||
| Low | 294 | 0.73 (0.49 to 1.08) | 0.113 | 0.77 (0.53 to 1.14) | 0.192 |
| Moderate | 1089 | 0.63 (0.45 to 0.88) | 0.006 | 0.68 (0.49 to 0.93) | 0.018 |
| High | 772 | 0.57 (0.40 to 0.82) | 0.002 | 0.76 (0.53 to 1.08) | 0.121 |
| p for linear trend | 0.002 | 0.104 |
IRR, incident rate ratio; CI, confidence interval.
*The number of subjects may be lower in the multivariate models as some values are missing for certain variables (see tables 1 and 2). One subject was excluded from the zero‐inflated negative binomial regression model for recording 65 COPD admissions during follow up (outlier value).
†Multivariate model adjusted for sputum and FEV1 in the count component, and for age, ischaemic heart disease, smoking habit, sputum, visits to doctor, and FEV1 in the zero‐inflated component of the zero‐inflated negative binomial regression.
After adjusting for all relevant confounders, subjects who reported low, moderate or high physical activity had a lower risk of all‐cause mortality (HR 0.76, 95% CI 0.65 to 0.90, p = 0.001), death from respiratory causes (HR 0.70, 0.48 to 1.02, p = 0.060), and death from cardiovascular causes (HR 0.77, 0.58 to 1.02, p = 0.065) than the group with very low physical activity (table 4).
Table 4 Crude and adjusted associations between physical activity and mortality in COPD subjects (Cox regression).
| All‐cause mortality (n = 2386, 1425 deaths)* | Respiratory mortality (n = 2386, 254 deaths)* | Cardiovascular mortality (n = 2386, 461 deaths)* | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Crude | Adjusted† | Crude | Adjusted‡ | Crude | Adjusted§ | |||||||
| HR (95% CI) | p value | HR (95% CI) | p value | HR (95% CI) | p value | HR (95% CI) | p value | HR (95% CI) | p value | HR (95% CI) | p value | |
| Physical activity (combined) | ||||||||||||
| Very low | 1 | 1 | 1 | 1 | 1 | 1 | ||||||
| Low/moderate/high | 0.53 (0.45 to 0.62) | <0.001 | 0.76 (0.65 to 0.90) | 0.001 | 0.40 (0.29 to 0.57) | <0.001 | 0.70 (0.48 to 1.02) | 0.060 | 0.47 (0.36 to 0.62) | <0.001 | 0.77 (0.58 to 1.02) | 0.065 |
| Physical activity (categories) | ||||||||||||
| Very low | 1 | 1 | 1 | 1 | 1 | 1 | ||||||
| Low | 0.77 (0.63 to 0.94) | 0.009 | 1.04 (0.84 to 1.27) | 0.744 | 0.68 (0.44 to 1.06) | 0.089 | 0.89 (0.55 to 1.44) | 0.622 | 0.55 (0.38 to 0.79) | 0.001 | 0.84 (0.58 to 1.23) | 0.372 |
| Moderate | 0.52 (0.44 to 0.61) | <0.001 | 0.73 (0.61 to 0.86) | <0.001 | 0.41 (0.28 to 0.59) | <0.001 | 0.64 (0.43 to 0.95) | 0.028 | 0.47 (0.36 to 0.63) | <0.0001 | 0.73 (0.54 to 0.98) | 0.035 |
| High | 0.48 (0.40 to 0.57) | <0.001 | 0.72 (0.59 to 0.86) | <0.001 | 0.31 (0.21 to 0.46) | <0.001 | 0.72 (0.46 to 1.12) | 0.142 | 0.45 (0.34 to 0.61) | <0.0001 | 0.81 (0.59 to 1.11) | 0.194 |
| p for linear trend | <0.001 | <0.001 | <0.001 | 0.072 | <0.001 | 0.195 | ||||||
*The number of subjects may be lower in the multivariate models as some values are missing for certain variables (see tables 1 and 2).
†Each row is a multivariate model adjusted for sex, age, income, BMI, smoking, glucose, systolic blood pressure, and FEV1.
‡Each row is a multivariate model adjusted for sex, age, BMI, myocardial infarction, asthma, sputum, smoking, asthma×smoking interaction, and FEV1.
§Each row is a multivariate model adjusted for sex, age, income, ischaemic heart disease, myocardial infarction, stroke, smoking, glucose, systolic blood pressure and FEV1.
After stratification for sex, age, COPD stage, and history of ischaemic heart disease, subjects who reported low, moderate or high level of physical activity had a reduced risk of both hospital admission for COPD and death due to any cause in all subgroups of subjects than those with a very low level of physical activity, although statistical significance was lost in many models, most likely due to a reduction in statistical power (data not shown, available from the authors).
Sensitivity analyses yielded very similar results. After excluding the subjects who reported having suffered asthma at some time, the adjusted IRR of a COPD admission for those with low, moderate or high physical activity compared with those reporting very low physical activity was 0.72 (95% CI 0.50 to 1.04, p = 0.082); correspondingly, the adjusted HR for all‐cause mortality was 0.76 (95% CI 0.63 to 0.91, p = 0.003). After excluding never smokers, the adjusted IRR of a COPD admission was 0.70 (95% CI 0.52 to 0.96, p = 0.026) and the adjusted HR of all‐cause mortality was 0.76 (95% CI 0.64 to 0.90, p = 0.001). After excluding subjects less than 40 years of age, the adjusted IRR of a COPD admission was 0.72 (95% CI 0.53 to 0.98, p = 0.037) and the adjusted HR of all‐cause mortality was 0.77 (95% CI 0.65 to 0.91, p = 0.002).
Given the results of the bivariate analysis (figs 1A and B), all analyses were run taking together those reporting a very low or low level of physical activity (n = 513) as the reference category, providing an adjusted IRR for a COPD admission of 0.80 (95% CI 0.64 to 1.01, p = 0.065) and the following adjusted HRs for mortality: all‐cause 0.71 (95% CI 0.63 to 0.80, p<0.001), respiratory causes 0.71 (95% CI 0.53 to 0.95, p = 0.021), and cardiovascular causes 0.82 (95% CI 0.66 to 1.03, p = 0.084).
Discussion
This 20 year follow up study of 2386 subjects with COPD shows that, for these subjects, a level of physical activity equivalent to walking or cycling 2 hours/week or more was associated with a 30–40% reduction in the risk of both hospital admission due to COPD and respiratory mortality. This is the first population‐based cohort study showing that a relatively small amount of physical activity may have important beneficial effects on the course of COPD. To date, only the British guidelines for COPD8 advise that COPD patients should be encouraged to exercise (page S12), a recommendation that so far is not evidence‐based. The present results provide robust evidence in favour of this recommendation and support for its consideration in future COPD guidelines.
The results of this study are highly consistent with our previous observation of a reduction in COPD hospital admissions among patients with COPD recruited from tertiary hospitals in Barcelona who reported a level of physical activity equivalent to walking 1 hour daily.6 The important environmental and climatic differences between Copenhagen and Barcelona are likely to result in different patterns of physical activity, reinforcing the external validity of the reported associations.
Some respiratory rehabilitation trials have shown a reduced risk of COPD admission.29,30,31 Since the majority of respiratory rehabilitation programs include a component of exercise training, it could be considered that the effects reported in our study and those reported in respiratory rehabilitation studies are consistent. However, respiratory rehabilitation also incorporates other pharmacological and non‐pharmacological interventions and the effect of exercise training cannot be isolated.32 Whereas respiratory rehabilitation should be considered in specific COPD patients, our results suggest the convenience of incorporating the advice of increasing or maintaining a moderate level of physical activity at any medical encounter with patients with COPD of all stages. Further interventional studies should test the efficacy and effectiveness of physical activity advice in COPD subjects.
The mechanisms underlying the potential beneficial effects of regular physical activity in COPD are not known, although some evidence regarding muscle function, exercise capacity, and inflammation may give support to its biological plausibility. Physical activity improves peripheral muscle function,33 and this has been related to reduced use of health services in patients with COPD.34 At the cellular level, exercise training improves the bioenergetics of skeletal muscle in COPD patients35 which, through a reduction in lactate production during exercise, could reduce symptoms.36 On the other hand, exercise capacity has been associated with a lower risk of hospital admission for COPD exacerbation37 and a lower risk of mortality38,39 in COPD cohorts. The extent to which exercise capacity in COPD patients is influenced by regular physical activity and vice versa is not known, although a cross sectional association between the two has been reported.40 Finally, important anti‐inflammatory and anti‐oxidant effects have been reported both in healthy subjects exposed to moderate levels of exercise41,42 and in COPD patients participating in rehabilitation programs.43,44
As with any observational study, ours may be affected by several limitations. Since losses to follow up are the main cause of selection bias in longitudinal studies45 and only four subjects (0.2%) were lost to follow up in our study, it is unlikely that selection will have biased the estimates of the effects of physical activity in the course of COPD. It is most likely that we will have measured regular physical activity with a degree of non‐differential misclassification, both because of the inherent limited validity of the questionnaire and the omission of changes in physical activity during follow up. In either case, the resulting effect was most probably a reduced estimate of the effects of physical activity.22,45 Given that the present study was not specifically designed to examine the effects of physical activity, direct measures were not available but should be considered in future studies. Our study was designed to test the hypothesis that physical activity may reduce the risk of COPD admission or respiratory related death in COPD patients, and consequently our study population included only patients with COPD. The inclusion of a reference group without COPD would not have been appropriate since control subjects exposed to physical activity would not have had the opportunity of experiencing the expected effects.
We considered the possibility of dyspnoea acting as a confounder since it was not included in the final models, even though its presence was associated with both physical activity and the outcomes. The inclusion of dyspnoea in the regression models did not change the magnitude of the associations between physical activity and COPD admission or mortality (IRR for COPD admission 0.82, 95% CI 0.60 to 1.11; HR for mortality 0.80, 95% CI 0.68 to 0.95), with the magnitude of the potential confounding effect being virtually null.45 In addition, since dyspnoea could also be an intermediate variable between reduced levels of physical activity and an increased risk of admission or mortality, and as dyspnoea was correlated with physical activity, its inclusion in our multivariate models was avoided. We are currently exploring the applicability of marginal structural models to disentangle the individual effects of physical activity and dyspnoea.46
It should also be considered whether the group of subjects who reported very low physical activity represent a specific group with an unhealthy lifestyle, which could partially account for an increased risk of COPD admission and mortality. However, multivariate models already included smoking and income as covariates, and the inclusion of alcohol consumption or other sociodemographic factors (education, marital status or cohabitation) did not change the estimates for physical activity (results available from the authors). Other markers of lifestyle such as diet were not available but should be explored in future studies.
The lack of a linear dose‐response relationship between levels of physical activity and admission to hospital or mortality may cast some doubts on the observed estimates. However, no clear dose‐response relationship between physical activity and health related outcomes has been reported for hypertension, obesity, cancer, osteoporosis, quality of life, depression and anxiety, among other disorders.47 Whether the lack of a clear dose‐response association is due to the real lack of a dose‐response relationship, a lack of sensitivity in determining the dose of physical activity, or uncontrolled confounders is generally not known.47 However, because the kind of dose‐response relationship is important for public health, we recommend that this issue should be addressed in further research by using more accurate measures of physical activity including frequency, duration, and intensity.47
In summary, our results provide robust evidence that the performance of regular physical activity by patients with COPD is associated with an important reduction in the risk of both admission to hospital with COPD and all‐cause and respiratory mortality. The magnitude of this effect and the fact that the type of physical activity required to achieve it can be easily recommended without the need for additional training or specialised supervision make these findings particularly promising. Our results provide evidence that future COPD guidelines should consider the recommendation that COPD patients be encouraged to maintain or increase their levels of regular physical activity. Given that COPD is a chronic disease associated with a high socioeconomic burden and health consequences, such a measure is likely to result in a relevant public health benefit.
Acknowledgements
The authors thank Dr Jorgen Vestbo for his stimuli and advice on commencing the study.
Abbreviations
COPD - chronic obstructive pulmonary disease
FEV1 - forced expiratory volume in 1 second
FVC - forced vital capacity
Footnotes
Funding: Supported in part by grants from the Generalitat de Catalunya‐DURSI 2001/SGR/00406. JG‐A and MB were respectively funded by the Red RESPIRA Network (RTIC C03/11) and the Red RCESP Network (RTIC C03/09), from the Instituto de Salud Carlos III. The Copenhagen City Heart Study was supported by grants from The Danish Heart Foundation, The Danish Lung Association and Danish Medical Research Council. No part of the research presented has been funded by tobacco industry sources. The sources of funding had no involvement in study design and conduct; collection, management, analysis or interpretation of data; and preparation, review, or approval of the manuscript.
Competing interests: none.
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