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Physical activity and chronic obstructive pulmonary disease: a scoping review

Abstract

Background

Reduced physical activity (PA) was the strongest predictor of all-cause mortality in patients with chronic obstructive pulmonary disease (COPD). This scoping review aimed to map the evidence on the current landscape of physical activity, barriers and facilitators, and assessment tools across COPD patients.

Methods

Arksey and O’Malley’s scoping review methodology framework guided the conduct of this review. An electronic search was conducted on five English databases (PubMed, Cochrane Library, PsycINFO, CINAHL and Web of Science) and three Chinese databases (CNKI, CQVIP and WAN-FANG) in January 2022. Two authors independently screened the literature, extracted the studies characteristics.

Results

The initial search yielded 4389 results, of which 1954 were duplicates. Of the remaining 135 articles, 42 studies met the inclusion criteria. Among the reviewed articles, there were 14 (33.3%) cross-sectional study, 9 (21.4%) cohort study, 4 (9.5%) longitudinal study, 3 qualitative study, 12 (28.7%) randomized control trials. The main barriers identified were older age, women, lung function, comorbidities, COPD symptoms (fear of breathlessness and injury, severe fatigue, anxiety and depression), GOLD stage, frequency of exacerbation, oxygen use, lack of motivation and environment-related (e.g., season and weather). Twelve studies have evaluated the effects of physical exercise (e.g., walking training, pulmonary rehabilitation (PR), pedometer, self-efficacy enhancing intervention and behavioral modification intervention) on PA and showed significant positive effects on the prognosis of patients. However, in real life it is difficult to maintain PA in people with COPD.

Conclusions

Changing PA behavior in patients with COPD requires multidisciplinary collaboration. Future studies need to identify the best instruments to measure physical activity in clinical practice. Future studies should focus on the effects of different types, time and intensity of PA in people with COPD and conduct randomized, adequately-powered, controlled trials to evaluate the long-term effectiveness of behavioral change interventions in PA.

Peer Review reports

Introduction

Chronic obstructive pulmonary disease (COPD) is a common inflammatory lung disease characterized by persistent respiratory symptoms and airflow limitation [1, 2]. According to the World Health Organization (WHO), COPD is the third leading cause of mortality in the world [3]. The China Pulmonary Health (CPH) study showed that the overall prevalence of COPD was 8.6%, accounting for 99.9 million people with COPD in China [4]. For now, COPD has been a worldwide public health challenge to be paid attention to urgently.

Global Initiative for Chronic Obstructive Lung Disease (GOLD) guidelines recommend pharmacologic therapy, primarily inhaled corticosteroids and bronchodilators, as the preferred treatment for patients with stable COPD. However, these therapies do not effectively halt disease progression [1]. Due to the complexity of its pathophysiology, non-pharmacologic interventions (e.g., physical activity) can have significant effects in improving the quality of life and prognosis, with favorable socioeconomic benefits [5].

Physical activity (PA) is defined as any bodily movement produced by skeletal muscles that results in energy expenditure. Types of PA in daily life can be categorized into occupational sports, transportation (e.g., cycling and walking), household (e.g., yard work cleaning and home maintenance) or other activities [6]. Strong evidence demonstrates regular PA is beneficial to reducing the risk of many chronic diseases. Conversely, physical inactivity is a major risk factor for poor outcomes in people with COPD and also leads to early mortality death in patients harboring chronic diseases [7,8,9]. Due to activity-related breathlessness and decreased exercise tolerance, the majority of COPD patients are usually forced to reduce PA and adopt a sedentary lifestyle [10,11,12]. Specifically, the duration, intensity and counts of activity in people with COPD were reduced significantly [13]. In addition, PA levels in people with COPD began to decrease in the early stage of the disease and substantially declined over time [14,15,16]. As a result, the risk of readmission and mortality increased, and the patients’ quality of life fell [8, 17].

Fortunately, PA in people with COPD has gradually attracted the attention of scholars in recent years. The GOLD guidelines recommend regular physical activity for all patients with COPD, which significantly improves dyspnea, health status, and exercise tolerance [18]. Equally, both the American Thoracic Society (ATS)/the European Respiratory Society (ERS) note that PA can significantly improve health outcomes in people with COPD [19]. For example, a study found that COPD patients with high levels of physical activity had a 34% lower risk of 30-day readmission and a 47% lower risk of death within 12 months of discharge compared to inactive patients [20].

As for the barriers and facilitators of PA in people with COPD, a previous review found that the factors influencing the facilitators and barriers to PA following pulmonary rehabilitation included three themes, which were beliefs, social support, and the environment [21]. These findings also provide new insights into PA interventions for COPD patients in clinical practice, whereas it did not contain any quantitative findings. For PA interventions, a series of strategies currently implemented to treat low levels of PA in people with COPD, includes pulmonary rehabilitation, various types of exercise training, self-management, and behavior change strategies, reflect the complexity of this issue [22,23,24,25]. Another systematic review indicated that exercise training coupled with behavior change interventions (such as goal setting, motivational interviewing, and self-feedback) may be the optimal strategies to increase PA in people with COPD, but the specific type, time and intensity of PA are still unclear and need further research [26]. In addition, assessment of intensity of PA is important to ensure safety and the effectiveness of PA interventions in COPD. At present, two main PA assessment tools commonly utilized contain subjective assessment (questionnaire, diary, self-reported) and objective measurement (pedometer, accelerometer, activity monitor) [27,28,29]. However, the heterogeneity of measurement and reporting methods among different studies makes the results neither comparable nor easily synthesized.

For these reasons, a scoping review could be a better choice. It can quickly describe the research progress of a certain field, showing the scope, depth, breadth and deficiency, finally providing more information for the future. We consider incorporating qualitative and quantitative studies on this specific area from different perspectives, which may increase our understanding of complex physical activity behaviors. Therefore, this scoping review aimed: (1) to synthesize the evidence of barriers to PA in people with COPD; (2) to evaluate effectiveness of PA intervention in people with COPD; (3) to summarize the assessment methods of PA in people with COPD.

Methods

The study was designed according to the reference framework developed by Arksey and O’Malley [30]. The main five stages were followed: (1) identify the research question, (2) identify relevant studies, (3) study selection, (4) charting the data, (5) summarize and report the results. This scoping review is reported according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) Scoping Review guidelines [31] (see Additional file 1).

Identify the research question

The main question of this review was: (1) What are the barriers to PA in people with COPD? (2) What are the interventions and outcomes of PA in people with COPD? (3) How to assess PA in people with COPD?

Identify relevant studies

In this scoping review, we searched relevant publications for five English databases, including: PubMed, Cochrane Library, PsycINFO, CINAHL, Web of Science, and three Chinese databases, including: CNKI, CQVIP and WAN-FANG from their inceptions until January 2022. Boolean logic operators “AND, OR, NOT” were used for comprehensive retrieval. We searched for “chronic obstructive pulmonary diseases” and “physical activity”, all relevant keywords, mesh and other index terms, as well as combinations of these terms and appropriate synonyms, and these were used to construct the search strategy. Then we translated the English keywords into corresponding Chinese words for use in the Chinese databases. The search was restricted to human studies and papers in Chinese or English. The detailed search strategies can be found in additional file 1.

Study selection

The inclusion criteria were the following: (1) the target population was people with COPD; (2) PA should be the major dependent or independent variables; (3) articles must be published in Chinese or English. The exclusion criteria were the following: (1) unpublished papers (including conference abstract, editorials, opinion papers, thesis); (2) full text conference abstracts that are unavailable; (3) non-human studies.

Data extraction, synthesis, and charting

We used NoteExpressX9 for references management, classification, sorting, retrieval and editing. After the removal of duplicated records, two researchers independently screened the titles and abstracts of studies based on the following inclusion and exclusion criteria. Then, read the full text to determine the final references to be included in the study. In the case of disagreement, a third researcher participated in the discussion and made judgments. The final data was extracted from the included studies according to the following fields: (1) general information: author, country, publication date, (2) study characteristics: study designs, objectives, sample size (age and gender), findings, (3) physical activity assessment tools, (4) barriers associated with physical activity (see Additional file 1). Two reviewers worked on data analysis and synthesis. The included studies were described in the form of quantity and distribution, and the results were summarized by descriptive methods. Given the nature of scoping review, the risk of bias assessment is also not applicable.

Results

Articles retrieved

All searches were carried out in January 2022. The initial search yielded 4,389 articles, with 526 records from Chinese databases and 3,863 records from English databases. After duplicates were removed, 2,435 articles were obtained for the screening process of the title and abstract. Finally, 135 full-text articles were analyzed for eligibility, and 42 articles were ultimately included [8, 9, 15, 32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70]. We described the searching process and outcome in Fig. 1.

Fig. 1
figure 1

PRISMA flow diagram of study selection

Article characteristics

42 studies included in this review were mainly from 17 countries (Fig. 2). Spain was the most frequently studied country (6 studies, 14.3%) [8, 15, 40, 42, 53, 65], followed by the United States (5 studies, 11.9%) [33, 46, 62, 62, 69], the United Kingdom (5 studies, 11.9%) [35, 51, 57, 59, 60], Switzerland (5 studies, 11.9%) [48, 49, 54,55,56] and Australia (5 studies, 11.9%) [36, 47, 58, 63, 70]. The remaining 16 studies were conducted in 12 countries (Germany, Japan, Brazil, Netherlands, Romania, Norway, Sweden, Denmark, China, Indonesia, Portugal, Chile). Among the reviewed articles, study designs ranged from: n = 14 (33.3%) cross-sectional study [32,33,34,35,36,37,38,39,40,41,42,43,44,45]; n = 9 (21.4%) cohort study [8, 9, 46,47,48,49,50,51,52]; n = 4 (9.5%) longitudinal study [15, 53,54,55]; n = 3 (7.1%) qualitative study [56,57,58]; n = 12 (28.7%) randomized controlled trials (RCTs) [59,60,61,62,63,64,65,66,67,68,69,70]. Of these, 39 were quantitative studies and 3 were qualitative studies. The number of participants ranged from 21 to 483,603 in the quantitative studies and 18 to 28 in the qualitative studies. Mean age of participants across studies was above 40 years except one large cohort study [9]. The study showed that there were 32,535 patients had COPD, with aged 20–39 years (51.7%) and then 40–64 years (40.2%) [9]. Publication dates ranged from 2006 to 2021, and 27 (64.3%) studies were published in the period from 2017 to 2021 (see Table 1). A list of the 42 references, with all study characteristics, is presented in Additional file 1.

Fig. 2
figure 2

Number of studies per country

Table 1 General characteristics of included scoping reviews (n = 42)

Barriers of physical activity

Across all the 42 studies, 27 (64.3%) of studies summarized the barriers to PA in people with COPD, of which 14 used a cross-sectional design [9, 32,33,34,35,36,37,38,39,40,41,42,43,44,45,46], 4 used a longitudinal design [15, 53,54,55], 6 were cohort studies [47,48,49,50,51,52], and 3 used a qualitative design [56,57,58]. We categorized the barriers into four main aspects: sociodemographic variables, physiological factors, psychological factors and social environmental factors (see Table 2). For barriers, older age (6/27,22.22%), gender (3/27,11.11) education (2/27,7%) and race (1/27,4%) were the nonmodifiable sociodemographic variables; Fear of breathlessness (10/27,37.04%) were the main physiological factors; Lack of motivation (6/27,22.22%) and anxiety and depression symptoms (4/27,14.81%) were barriers from psychological factors; weather (4/27,14.81%) and lack of infrastructure (3/27,11.11%) were the social environmental factors.

Table 2 Barriers associated with physical activity (n = 27)

Regarding the sociodemographic characteristics, studies focused on the effects of age and gender on PA in people with COPD. Low levels of PA are particularly important in women and older patients and it is related to worse functional and clinical characteristics [33]. Aging is associated with a decline in skeletal muscle mass and cardiopulmonary fitness, leading to impaired daily PA and maintaining independence [71]. In a study, the proportion of inactive people with COPD over 70 years old was significantly higher than other young age groups. Compared with men, women significantly reduced the intensity of walking and the amount of time they spent doing moderate and vigorous exercise [11]. Women begin to lose bone mass before menopause, and sedentary women as early as the 20 s [72]. Moreover, these differences are probably due to the socio-economic and cultural characteristics of the area, where few women are engaged in professional activities. Yet, they are used to staying home caring for the households and the family members.

In terms of the physiological factors, studies examined the effects of dyspnea, fatigue, comorbidity, and pulmonary function status on physical activity. Dyspnea is one of the most characteristic symptoms in people with COPD. Studies have shown that severe airflow obstruction and dyspnea are significantly associated with reduced levels of PA [15]. Patients with severe dyspnea often limit daily PA to alleviate dyspnea symptoms, ultimately creating a vicious cycle of decreased physical activity, muscle atrophy, and disease progression [15]. Fatigue is a highly prevalent symptom among people with COPD (71%) [73]. More patients with low PA had severe fatigue compared to the number of patients with moderate and high PA [43]. In a cross-sectional study, decreased cardiopulmonary function, systemic inflammation, and muscle weakness were strongly associated with PA in people with COPD [53, 74]. Chronic obstructive pulmonary disease is a systemic disease with multiple comorbidities, including cardiovascular disease, lung cancer, osteoporosis, diabetes, anxiety, and depression, and is associated with an increased risk of hospitalization and death [48, 75]. Inowe et al. [76] showed that in people with COPD combined with osteoporosis, decreased bone mineral density and bone damage increased the risk of fracture, which would further aggravate the disease, leading to decreased lung function and reduced PA level.

Of psychosocial factors, anxiety, depression and motivation were consistent positive correlates and determinants of PA in people with COPD. The prevalence of depression and anxiety is two to three times higher in people with chronic (long-term) medical conditions [77]. Anxiety and depressive symptoms are associated with poor exercise ability and quality of life. A multi-center study using objective assessment tools measured the relationship between anxiety and depressive symptoms and physical activity in 220 COPD patients at baseline and 6 months and 12 months of follow-up. Results had shown that symptoms of depression are prospectively associated with fewer steps per day and less time after 6 months of follow-up in people with COPD [42]. The lower motivation was a key barrier to PA. Fear of breathlessness may lead to low motivation and thereby reduce engagement in PA as patients are alarmed by a sensation of breathing difficulty that they are unable to manage [32]. In addition, one qualitative study based on grounded theory aimed to examine healthcare professionals’ perspectives on the importance and prescription of physical activity in people with COPD. The study found that although they acknowledged the importance of physical activity for people with COPD, there were few evidence-based strategies to enhance physical activity. The limitations include time constraints, treatment prioritization and perceived lack of expertise [78].

As for social-environmental correlates, weather conditions and seasonal variations may affect PA in people with COPD [36, 39, 45, 51, 57, 58]. Physical activity in a clean environment had greater health benefits than in more polluted areas. Alahmari et al. used a pedometer to examine the effects of the weather data (temperature, rainfall, sunshine) and environmental particulate matter on PA in people with COPD [51]. The results found that when air pollution was too hot or too cold, it caused obstacles to exercise and activity adherence, and patients' daily steps were significantly reduced. Stevens et al. investigated the relationship between environment and PA and self-rated health in people with COPD. Logistic and multivariate linear regression models showed a significant negative correlation between PA level and ozone pollution [79].

Interventions for promoting physical activity

Twelve RCTs met the inclusion criteria reported that facilitators of PA among COPD patients [59,60,61,62,63,64,65,66,67,68,69,70]. The main interventions were related to physical exercise (e.g., walking training [63, 70], mobile health [60, 62], Pulmonary rehabilitation (PR) [59], PA counselling program [68], pedometers [64, 67], self-efficacy enhancing intervention [69], behavioral modification intervention (including education session, goal setting, motivational interview, identify potential barriers, self-monitoring, feedback, telephone calls) [61, 65, 66] (see Table 3). The majority of the reported physical activity programs had a total duration of 8–12 weeks. The longest intervention lasted about 12-months [65]. This study aimed to assess the 12-month efficacy and effectiveness of the Urban Training intervention on physical activity in people with COPD.

Table 3 Interventions associated with physical activity (n = 12)

Walking is the most recommended form of aerobic exercises. An RCT study of “Nordic Walking” has shown that it is a simple, feasible and effective PA training program for patients with COPD. Nordic walking had a long-term positive impact on PA, dyspnea and other daily symptoms in people with COPD [70]. In another study, participants in the walking group received walking training sessions three times per week for 8 weeks, with significant improvements in health-related quality of life and exercise ability compared to usual care [63]. Pulmonary rehabilitation is the preferred non-drug treatment for COPD patients, which can improve the symptoms of dyspnea and exercise ability although the intervention did not maintain PA levels in the long term. Wshah et al. [80] embedded a 4-week behavior change program, consisting of a 30-min personalized face-to-face session and three follow-up visits, which aimed at reducing sedentary time, into pulmonary rehabilitation programs in people with COPD. PR combined with behavior change intervention can increase daily steps and reduce sedentary time compared to pulmonary rehabilitation alone, while its effect on sedentary behavior needs to be further explored. Several studies have shown that replacing 30 min of sleep or sitting times with 30 min of moderate to vigorous PA is consistently associated with improved lung function [81]. However, given that physical activity of moderate to vigorous intensity leads to an increase in ventilation and dyspnea, which serves as a barrier to engagement in regular physical activity. In contrast, light physical activity is more acceptable for patients that can promote long-term maintenance of physical activity, improve health-related quality of life and functional ability [36, 82]. Moreover, wearable activity monitors such as pedometers or accelerometers can help patients set goals, make plans, and self-monitor daily steps, exercise time and intensity, thus effectively improving patients’ exercise compliance. Qiu et al. [83] study showed that the use of walking counter significantly increased the daily steps and physical activity level of patients, yet it may not improve the physical activity or exercise ability of patients with moderate and severe COPD, and its long-term effectiveness has not been examined. Larson et al. conducted a 10-week “Active for Life with COPD” program in 36 COPD patients, including walking, functional circuit training, behavioral intervention and health education. Participants engaged in at least 60 min of daily activity (including 20 min of walking, 30 min of moderate-intensity exercise, and 10–15 min of stretching). The results showed that the behavior change program was feasible and acceptable, and people with COPD increased mean time spent standing/stepping by 36 min per day [61].

Among the twelve studies [59,60,61,62,63,64,65,66,67,68,69,70], PA was the primary outcome (10/12) [59,60,61, 63, 65,66,67,68,69,70]. The most common PA categories of variables used were daily steps count. The secondary outcome could be classified as exercise capacity (six-minute walking test (6MWT))(8/12) [59, 61,62,63, 65, 67, 68, 70]; health-related quality of life (HRQOL) Short Form 36 (SF-36) (3/12) [62, 68, 70], St. George’s Respiratory Questionnaire (SGRQ) (4/12) [60, 63, 66, 67], COPD Assessment Test (CAT) (5/12) [59, 60, 64, 65, 67], Clinical COPD Questionnaire (CCQ) (4/12) [59, 63, 65, 68]; anxiety and depression (Hospital Anxiety and Depression Scale (HADS)) (4/12) [59, 65, 68, 70] (see Table 3). All studies showed the effectiveness of PA interventions, including increased daily walking time, improved quality of life, and reduced risk of anxiety and depression. The frequency and intensity of training sessions varied between studies. Only four studies accounted for the time, intensity and frequency of PA in people with COPD, which recommends ≥ 30 min moderate physical activity ≥ 5 days per week [63, 65, 67, 70]. PA intensity was generally assessed using a dyspnea Borg scale score [70], maximum heart rate (HR) [70] and metabolic equivalents (METs) [63].

Measurement of physical activity

Thirty-nine studies (92.3%) reported the measurements tools for assessing PA in people with COPD [9, 32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55, 59,60,61,62,63,64,65,66,67,68,69,70] (see Additional file 1). Of these, 11 (26.2%) utilized questionnaires including the International Physical Activity Questionnaire (IPAQ) [33, 43], Yale Physical Activity Survey (YPAS) [38], Physical Activity Scale for Elderly (PASE) [46], the Longitudinal Ageing Study Amsterdam Physical Activity Questionnaire (LAPAQ) [48, 49] and Clinical-PRO active Physical Activity [60, 65]. Three (7.1%) studies collected data using interview [8, 9, 47]. 27 (64.3%) studies utilized PA monitors, including pedometers (monitor daily step counts and provide real-time feedback) [46, 51, 54, 62, 64, 66,67,68] and accelerometers (measure the intensity of PA and provide energy expenditure) [15, 34,35,36,37, 39,40,41,42, 50, 52, 55, 60, 61, 63, 69, 70]. The instrument is a small and light device, which can be worn on the arm, waist, wrist, foot or thigh. Five types of accelerometers were most widely used, including the Sense Wear Armband (Body Media, Inc.), ActivPAL3 activity monitor, Actigraphy GT3X, DynaPort accelerometer, Actimarker EW4800 P-K. Compared with accelerometers, pedometers are cheaper and widely used in clinical practice. However, most studies failed to provide information on the validity of the instruments.

Discussion

We performed a scoping review in this study to systematically map the barriers to physical activity, intervention strategies, and assessment tools in people with COPD. Of the 42 studies, there were 39 quantitative and 3 qualitative. Our findings indicate that people with COPD generally have low levels of PA. Compared to healthy, age-matched control subjects, people with COPD had a significant reduction in the duration, intensity and counts of PA. Fear of breathlessness, older age, and lack of motivation were the top three obstacles that prevent COPD patients from being more physically active. For PA interventions, our review discovered that regular PA was closely related to the health outcomes of patients, which can enhance patients' exercise ability, improve their quality of life, and delay disease progression. However, in real life it is difficult to maintain PA in people with COPD. Almost all studies reported methods for assessing PA in COPD, and 64.3% of studies used objective assessment tools.

PA is a complex behavior, which is affected by comprehensive factors such as sociodemographic variables, individual physiological, psychological, socio-cultural and environmental factors [9, 15, 32,33,34,35,36,37,38,39,40,41,42,43,44,45,46, 48,49,50,51, 53,54,55,56,57,58]. As the research mainly focuses on cross-sectional investigation, the influencing factors of the research design are relatively single, lacking comprehensive and systematic discussion. The cross-sectional study design is limited to speculating about the relationship between variables and has some limitations in exploring causality. Daily clinical symptoms such as fear of dyspnea, fatigue, anxiety, and depressive are associated with low levels of PA in people with COPD. Female patients showed lower energy expenditure in PA compared to male. This suggests that medical staff and caregivers of COPD patients should pay more attention to the PA of female patients [84]. According to the characteristics of middle-aged and elderly women, specific suggestions were put forward for activities, such as walking and square dancing. In addition, patients were encouraged to carry out activities with others, so as to enhance their sense of exercise self-efficacy and improve their PA level.

We found that people with COPD showed decreased levels of PA in the early stages of disease and deteriorated over time [9, 46,47,48,49]. Physical inactivity was the strongest predictor of all-cause mortality in people with COPD [50]. The findings in this review also indicate the importance to go beyond considering immutable sociodemographic factors to encompass factors related to COPD disease characteristics and behavioral changes. Early identification of symptoms and active intervention can help to delay disease progression and reduce mortality. A study found that over half (53.5%) patients were inactive. Patients with lower levels of PA are at higher risk for anxiety and depressive symptoms [48]. Among the COPD population, participants who were fully active had longer life expectancies than those inactive, an additional 2.4–4.0 years in men and 4.4–4.8 years in women [9]. Nonetheless, this study also has several limitations. Firstly, the sample size was small and the sex ratio of the study was uneven. In that case, it could not represent the whole population and may result in selection bias. Secondly, the study has different lengths of follow-up time and mainly focused on 1–3 years. Thirdly, most of the PA assessment tools were self-reported questionnaires, which may be affected by recall bias.

The results of 12 RCTs studies aiming at increasing PA in people with COPD showed that PA intervention strategies, including pulmonary rehabilitation, pedometers monitor, self-efficacy enhancement interventions and behavior change interventions, can enhance patients' exercise capacity and improve their quality of life [59,60,61,62,63,64,65,66,67,68,69,70]. As anticipated, a previous study showed that pulmonary rehabilitation can lead to changes in dyspnea and motor ability across COPD patients, but did not increase physical activity levels [85]. Compared with pulmonary rehabilitation alone, pulmonary rehabilitation combined with physical activity counseling and behavior change technology can effectively improve patients' physical activity levels [23]. A simple physical activity enhancement program using pedometers can effectively improve physical activity levels in people with COPD [68]. However, patients’ wearing compliance is poor. Pedometers cannot quantify patients' physical activity types and exercise-related environmental conditions, and its long-term effectiveness in PA needs to be further discussion. Theory-based behavior change interventions have been proved to be the most effective interventions [86]. The present behavioral modification interventions alongside pulmonary rehabilitation were well received by the vast majority of patients showing high compliance. However, such behavioral interventions may require a lot of health care resources as they are more time-consuming compared to PA tele-coaching. In addition, the timing, intensity, and frequency of PA remain obscure. Although guidelines recommend that all older adults should do at least 150 min of moderate-intensity physical activity a week, the majority of COPD patients fail to meet those guidelines [87]. Light-intensity physical activity has been shown to reduce all-cause and respiratory mortality in patients and is more readily accepted by patients. But it is not clear exactly what needs to be done to improve physical activity in the long term, which is what may be required for health benefits.

The quantification of PA level is very complex, and its accurate quantification may be a key step in the research and promotion of the PA. Accurate measurement of PA will further improve our understanding of the relationship between PA and health. The measurement of PA mainly included the frequency, duration, intensity and types of PA. At present, research shows that PA measurement tools can be divided into two main types: subjective assessment and objective measurement. Subjective assessment methods include questionnaire, self-report and interview [28]. The International Physical Activity Questionnaire is a widely recognized measurement method [88]. It mainly investigates the frequency and time of walking intensity physical activity and high-intensity physical activity during leisure time in the past 7 days, and calculates energy expenditure per unit body weight through metabolic equivalent. Although the questionnaire method has recall bias to some extent, it is widely used and more suitable for large epidemiological studies [28, 89]. Objective measurements, including pedometers and accelerometers, are mainly used to measure individual PA intensity and energy expenditure within a clinical trial [90]. Generally, to optimize the adherence of patients to wearing the device, the measurement should be worn at least 8 h during waking hours, except for bathing and swimming activities. Compared with traditional standard assessment tools, activity monitor has the advantages of high measurement accuracy and operability [27]. Moreover, it can improve patients' compliance and quality of life through real-time feedback. It’s a pity that the high price limits its application scope [91]. To ensure more scientific and objective research results, future research should combine subjective and objective measurement methods. Subjective methods such as activity log, questionnaire used to understand the characteristics and preferences of PA participants and activity monitors were used to monitor PA to obtain timely information and feedback, providing instrumental support for clinical staff to develop more scientific and perfect guidance measures.

Strengths and limitations

The PRISMA was used to guide the reporting of the scoping review. Search terms were developed with the assistance of our team and the research librarian. The scoping review compiles information from studies with a wide range of designs and methodologies and is conducted with the rigor and transparency required. Importantly, this scoping review have gathered qualitative and quantitative data to identify barriers, intervention strategies, and assessment methods of PA in people with COPD, which will help researchers to understand PA behavior comprehensively and provide complementary data for PA intervention in clinical practice. Also, this scoping review has several limitations. We only searched the literature published in Chinese or English, thus omitting valuable data from relevant articles published in other languages. The quality evaluation of RCTs was not carried out in this review. The sample size was insufficient and could not represent the whole population. Therefore, in future research, We will expand our search to monitor the emergence of new literature and focus on literature published in other languages in this field to further understand the physical activity behavior of COPD patients.

Conclusions

This scoping review identified 42 studies on the PA of people with COPD published from 2006 to 2021. Overall, these individuals have low physical activity levels. In particular, older and women had relatively lower levels of PA. PA is a complex behavior, which is difficult to be captured by simple measurement methods due to the influence of social population, physiology, psychology and environmental factors. Therefore, it is necessary to conduct effective intervention strategies. Pulmonary rehabilitation combined with physical activity counseling, self-efficacy enhancement and behavior change interventions were reported to have positive effects in enhancing COPD patients’ PA. However, its long-term effectiveness still needs to be further developed and validated in the future study. Sports program must be individualized, starting from low-intensity exercise. In addition, strengthening multidisciplinary cooperation and social support (from families, friends, and work) is utmost important to enhance the motivation of patients to exercise and promote changes in health behavior. More randomized controlled trials are recommended to evaluate the effects of different types, frequencies and intensities of physical activity on health-related quality of life in people with COPD.

Availability of data and materials

All data generated or analysed during this study are included in this published article [and its supplementary information files].

Abbreviations

PA:

Physical activity

COPD:

Chronic obstructive pulmonary disease

PR:

Pulmonary rehabilitation

GOLD:

Global initiative for chronic obstructive lung disease

ATS:

American Thoracic Society

ERS:

The European Respiratory Society

RCT:

Randomized controlled trials

HRQOL:

Health-related quality of life health-related quality of life

6MWT:

Six-minute walking test

HRQOL:

Health-related quality of life

References

  1. Halpin D, Criner GJ, Papi A, Singh D, Anzueto A, Martinez FJ, et al. Global initiative for the diagnosis, management, and prevention of chronic obstructive lung disease. The 2020 GOLD science committee report on COVID-19 and chronic obstructive pulmonary disease. Am J Respir Crit Care Med. 2021;203(1):24–36.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  2. Yang IA, Brown JL, George J, Jenkins S, McDonald CF, et al. COPD-X Australian and New Zealand guidelines for the diagnosis and management of chronic obstructive pulmonary disease: 2017 update. Med J Aust. 2017;207(10):436–42.

    Article  PubMed  Google Scholar 

  3. World Health Organization. The top 10 causes of death [EB/OL]. https://www.who.int/news-room/fact-sheets/detail/the-top-10-causes-of-death. Accessed 20 Dec 2021.

  4. Wang C, Xu J, Yang L, Xu Y, Zhang X, Bai C, et al. Prevalence and risk factors of chronic obstructive pulmonary disease in China (the China pulmonary health [CPH] study): a national cross-sectional study. Lancet. 2018;391(10131):1706–17.

    Article  PubMed  Google Scholar 

  5. Rodrigues SO, Cunha CMCD, Soares GMV, Silva PL, Silva AR, Gonçalves-de-Albuquerque CF. Mechanisms, pathophysiology and currently proposed treatments of chronic obstructive pulmonary disease. Pharmaceuticals. 2021;14(10):979.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  6. Caspersen CJ, Powell KE, Christenson GM. Physical activity, exercise, and physical fitness: definitions and distinctions for health-related research. Public Health Rep. 1985;100(2):126–31.

    CAS  PubMed  PubMed Central  Google Scholar 

  7. Piercy KL, Troiano RP, Ballard RM, Carlson SA, Fulton JE, Galuska DA, et al. The physical activity guidelines for Americans. JAMA. 2018;320(19):2020–8.

    Article  PubMed  Google Scholar 

  8. Garcia-Aymerich J, Lange P, Benet M, Schnohr P, Anto JM. Regular physical activity reduces hospital admission and mortality in chronic obstructive pulmonary disease: a population-based cohort study. Thorax. 2006;61(9):772–8.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  9. Shu CC, Lee JH, Tsai MK, Su TC, Wen CP. The ability of physical activity in reducing mortality risks and cardiovascular loading and in extending life expectancy in patients with COPD. Sci Rep. 2021;11(1):21674.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  10. O’Donnell DE, Milne KM, James MD, de Torres JP, Neder JA. Dyspnea in COPD: new mechanistic insights and management implications. Adv Ther. 2020;37(1):41–60.

    Article  PubMed  Google Scholar 

  11. Mullerova H, Lu C, Li H, Tabberer M. Prevalence and burden of breathlessness in patients with chronic obstructive pulmonary disease managed in primary care. PLoS ONE. 2014;9(1):e85540.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  12. Carl J, Schultz K, Janssens T, von Leupoldt A, Pfeifer K, Geidl W. The, “can do, do do” concept in individuals with chronic obstructive pulmonary disease: an exploration of psychological mechanisms. Respir Res. 2021;22(1):260.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  13. Vorrink SN, Kort HS, Troosters T, Lammers JW. Level of daily physical activity in individuals with COPD compared with healthy controls. Respir Res. 2011;12(1):33.

    Article  PubMed  PubMed Central  Google Scholar 

  14. Sievi NA, Brack T, Brutsche MH, Frey M, Irani S, Leuppi JD, et al. Physical activity declines in COPD while exercise capacity remains stable: a longitudinal study over 5 years. Respir Med. 2018;141:1–6.

    Article  PubMed  Google Scholar 

  15. Demeyer H, Donaire-Gonzalez D, Gimeno-Santos E, Ramon MA, et al. Physical activity is associated with attenuated disease progression in chronic obstructive pulmonary disease. Med Sci Sports Exerc. 2019;51(5):833–40.

    Article  PubMed  Google Scholar 

  16. Troosters T, Sciurba F, Battaglia S, Langer D, Valluri SR, Martino L, et al. Physical inactivity in patients with COPD, a controlled multi-center pilot-study. Respir Med. 2010;104(7):1005–11.

    Article  PubMed  PubMed Central  Google Scholar 

  17. Vaes AW, Garcia-Aymerich J, Marott JL, Benet M, et al. Changes in physical activity and all-cause mortality in COPD. Eur Respir J. 2014;44(5):1199–209.

    Article  PubMed  Google Scholar 

  18. Vogelmeier CF, Criner GJ, Martinez FJ, Anzueto A, Peter J, et al. Global strategy for the diagnosis, management, and prevention of chronic obstructive lung disease 2017 report. GOLD executive summary. Am J Respir Crit Care Med. 2017;195(5):557–82.

    Article  CAS  PubMed  Google Scholar 

  19. Rochester CL, Vogiatzis I, Holland AE, Lareau SC, et al. An Official American thoracic society/European respiratory society policy statement: enhancing implementation, use, and delivery of pulmonary rehabilitation. Am J Respir Crit Care Med. 2015;192(11):1373–86.

    Article  PubMed  Google Scholar 

  20. Nguyen HQ, Rondinelli J, Harrington A, Desai S, et al. Functional status at discharge and 30-day readmission risk in COPD. Respir Med. 2015;109(2):238–46.

    Article  PubMed  Google Scholar 

  21. Robinson H, Williams V, Curtis F, Bridle C, Jones AW. Facilitators and barriers to physical activity following pulmonary rehabilitation in COPD: a systematic review of qualitative studies. NPJ Prim Care Respir Med. 2018;28(1):19.

    Article  PubMed  PubMed Central  Google Scholar 

  22. Lahham A, McDonald CF, Holland AE. Exercise training alone or with the addition of activity counseling improves physical activity levels in COPD: a systematic review and meta-analysis of randomized controlled trials. Int J Chron Obstruct Pulmon Dis. 2016;11:3121–36.

    Article  PubMed  PubMed Central  Google Scholar 

  23. Armstrong M, Hume E, McNeillie L, Chambers F, et al. Behavioural modification interventions alongside pulmonary rehabilitation improve COPD patients’ experiences of physical activity. Respir Med. 2021;180:106353.

    Article  PubMed  Google Scholar 

  24. Cheng SWM, Alison J, Stamatakis E, Dennis S, McNamara R, Spencer L, et al. Six-week behaviour change intervention to reduce sedentary behaviour in people with chronic obstructive pulmonary disease: a randomised controlled trial. Thorax. 2022;77(3):231–8.

    Article  PubMed  Google Scholar 

  25. Leidy NK, Kimel M, Ajagbe L, Kim K, Hamilton A, Becker K. Designing trials of behavioral interventions to increase physical activity in patients with COPD: insights from the chronic disease literature. Respir Med. 2014;108(3):472–81.

    Article  PubMed  Google Scholar 

  26. Burge AT, Cox NS, Abramson MJ, Holland AE. Interventions for promoting physical activity in people with chronic obstructive pulmonary disease (COPD). Cochrane Database Syst Rev. 2020;4(4):CD012626.

    PubMed  Google Scholar 

  27. Burtin C, Mohan D, Troosters T, Watz H, Hopkinson NS, Garcia-Aymerich J, et al. Objectively measured physical activity as a COPD clinical trial outcome. Chest. 2021;160(6):2080–100.

    Article  PubMed  Google Scholar 

  28. Pitta F, Troosters T, Probst VS, Watz H, et al. Quantifying physical activity in daily life with questionnaires and motion sensors in COPD. Eur Respir J. 2006;27(5):1040–55.

    Article  CAS  PubMed  Google Scholar 

  29. Armstrong M, Winnard A, Chynkiamis N, Boyle S, Burtin C, Vogiatzis I. Use of pedometers as a tool to promote daily physical activity levels in patients with COPD: a systematic review and meta-analysis. Eur Respir Rev. 2019;28(154):190039.

    Article  PubMed  Google Scholar 

  30. Arksey H, O”Malley L. Scoping studies: towards a methodological framework. Inte J Soc Res Methodol. 2005;8(1):19–32.

    Article  Google Scholar 

  31. Tricco AC, Lillie E, Zarin W, et al. PRISMA extension for scoping reviews (PRISMA-ScR): checklist and explanation. Ann Intern Med. 2018;169(7):467–73.

    Article  PubMed  Google Scholar 

  32. Sritharan SS, Ostergaard EB, Callesen J, Elkjaer M, Sand L, Hilberg O, et al. Barriers toward physical activity in COPD: a quantitative cross-sectional. Quest-Based Study COPD. 2021;18(3):272–80.

    Google Scholar 

  33. Mendoza L, de Oca MM, Lopez VM, Casas A, et al. Physical activity levels and associated factors in a Latin American COPD population of patients. LASSYC Study COPD. 2021;18(4):393–400.

    Article  PubMed  Google Scholar 

  34. Ichinose M, Minakata Y, Motegi T, Takahashi T, Seki M, Sugaya S, et al. A non-interventional, cross-sectional study to evaluate factors relating to daily step counts and physical activity in Japanese patients with chronic obstructive pulmonary disease: STEP COPD. Int J Chron Obstruct Pulmon Dis. 2020;15:3385–96.

    Article  PubMed  PubMed Central  Google Scholar 

  35. Albarrati AM, Gale NS, Munnery MM, Cockcroft JR, Shale DJ. Daily physical activity and related risk factors in COPD. BMC Pulm Med. 2020;20(1):60.

    Article  PubMed  PubMed Central  Google Scholar 

  36. Cheng S, Alison JA, Stamatakis E, Dennis SM, et al. Patterns and correlates of sedentary behaviour accumulation and physical activity in people with chronic obstructive pulmonary disease: a cross-sectional study. COPD. 2020;17(2):156–64.

    Article  PubMed  Google Scholar 

  37. Cani KC, Matte DL, Silva IJCS, Gulart AA, Karloh M, Mayer AF. Impact of home oxygen therapy on the level of physical activities in daily life in subjects with COPD. Respir Care. 2019;64(11):1392–400.

    Article  PubMed  Google Scholar 

  38. Mihaltan F, Adir Y, Antczak A, Porpodis K, Radulovic V, Pires N, et al. Importance of the relationship between symptoms and self-reported physical activity level in stable COPD based on the results from the SPACE study. Respir Res. 2019;20(1):89.

    Article  PubMed  PubMed Central  Google Scholar 

  39. Hoaas H, Zanaboni P, Hjalmarsen A, Morseth B, Dinesen B, Burge AT, et al. Seasonal variations in objectively assessed physical activity among people with COPD in two Nordic countries and Australia: a cross-sectional study. Int J Chron Obstruct Pulmon Dis. 2019;14:1219–28.

    Article  PubMed  PubMed Central  Google Scholar 

  40. Arbillaga-Etxarri A, Gimeno-Santos E, Barberan-Garcia A, Benet M, Borrell E, Dadvand P, et al. Socio-environmental correlates of physical activity in patients with chronic obstructive pulmonary disease. Thorax. 2017;72(9):796–802.

    Article  PubMed  Google Scholar 

  41. Kanao K, Shiraishi M, Higashimoto Y, Sugiya R, et al. Factors associated with the effect of pulmonary rehabilitation on physical activity in patients with chronic obstructive pulmonary disease. Geriatr Gerontol Int. 2017;17(1):17–23.

    Article  PubMed  Google Scholar 

  42. Duenas-Espin I, Demeyer H, Gimeno-Santos E, Polkey MI, et al. Depression symptoms reduce physical activity in COPD patients: a prospective multicenter study. Int J Chron Obstruct Pulmon Dis. 2016;11:1287–95.

    Article  PubMed  PubMed Central  Google Scholar 

  43. Todt K, Skargren E, Jakobsson P, Theander K, Unosson M. Factors associated with low physical activity in patients with chronic obstructive pulmonary disease: a cross-sectional study. Scand J Caring Sci. 2015;29(4):697–707.

    Article  PubMed  Google Scholar 

  44. Amorim PB, Stelmach R, Carvalho CR, Fernandes FL, Carvalho-Pinto RM, Cukier A. Barriers associated with reduced physical activity in COPD patients. J Bras Pneumol. 2014;40(5):504–12.

    Article  PubMed  PubMed Central  Google Scholar 

  45. Hartman JE, Boezen HM, de Greef MH, Ten Hacken NH. Physical and psychosocial factors associated with physical activity in patients with chronic obstructive pulmonary disease. Arch Phys Med Rehabil. 2013;94(12):2396-2402.e7.

    Article  PubMed  Google Scholar 

  46. Dragnich AG, Yee N, Gylys-Colwell I, Locke ER, Nguyen HQ, Moy ML, et al. Sociodemographic characteristics and physical activity in patients with COPD: a 3-month cohort study. COPD. 2021;18(3):265–71.

    Article  PubMed  Google Scholar 

  47. McKeough Z, Cheng SWM, Alison J, Jenkins C, Hamer M, Stamatakis E. Low leisure-based sitting time and being physically active were associated with reduced odds of death and diabetes in people with chronic obstructive pulmonary disease: a cohort study. J Physiother. 2018;64(2):114–20.

    Article  PubMed  Google Scholar 

  48. Yu T, Ter Riet G, Puhan MA, Frei A. Physical activity and risk of comorbidities in patients with chronic obstructive pulmonary disease: a cohort study. NPJ Prim Care Respir Med. 2017;27(1):36.

    Article  PubMed  PubMed Central  Google Scholar 

  49. Yu T, Frei A, Ter Riet G, Puhan MA. Determinants of physical activity in patients with chronic obstructive pulmonary disease: a 5-year prospective follow-up study. Respiration. 2016;92(2):72–9.

    Article  PubMed  Google Scholar 

  50. Waschki B, Kirsten AM, Holz O, Mueller KC, Schaper M, Sack AL, et al. Disease progression and changes in physical activity in patients with chronic obstructive pulmonary disease. Am J Respir Crit Care Med. 2015;192(3):295–306.

    Article  PubMed  Google Scholar 

  51. Alahmari AD, Mackay AJ, Patel AR, Kowlessar BS, Singh R, Brill SE, et al. Influence of weather and atmospheric pollution on physical activity in patients with COPD. Respir Res. 2015;16(1):71.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  52. Waschki B, Kirsten A, Holz O, Müller KC, et al. Physical activity is the strongest predictor of all-cause mortality in patients with COPD: a prospective cohort study. Chest. 2011;140(2):331–42.

    Article  CAS  PubMed  Google Scholar 

  53. Sanchez-Martinez MP, Bernabeu-Mora R, Garcia-Vidal JA, Benitez-Martinez J, de Oliveira-Sousa SL, Medina-Mirapeix F. Patterns and predictors of low physical activity in patients with stable COPD: a longitudinal study. Ther Adv Respir Dis. 2020;14:1753466620909772.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  54. Crook S, Busching G, Keusch S, Wieser S, Turk A, Frey M, et al. The association between daily exacerbation symptoms and physical activity in patients with chronic obstructive pulmonary disease. Int J Chron Obstruct Pulmon Dis. 2018;13:2199–206.

    Article  PubMed  PubMed Central  Google Scholar 

  55. Clarenbach CF, Sievi NA, Haile SR, Brack T, et al. Determinants of annual change in physical activity in COPD. Respirology. 2017;22(6):1133–9.

    Article  PubMed  Google Scholar 

  56. Scheermesser M, Reicherzer L, Beyer S, Gisi D, et al. The influence of pulmonary rehabilitation and counselling on perceptions of physical activity in individuals with COPD-A qualitative study. Int J Chron Obstruct Pulmon Dis. 2021;16:2337–50.

    Article  PubMed  PubMed Central  Google Scholar 

  57. Kosteli MC, Heneghan NR, Roskell C, Williams SE, Adab P, Dickens AP, et al. Barriers and enablers of physical activity engagement for patients with COPD in primary care. Int J Chron Obstruct Pulmon Dis. 2017;12:1019–31.

    Article  PubMed  PubMed Central  Google Scholar 

  58. Thorpe O, Kumar S, Johnston K. Barriers to and enablers of physical activity in patients with COPD following a hospital admission: a qualitative study. Int J Chron Obstruct Pulmon Dis. 2014;9:115–28.

    Article  PubMed  PubMed Central  Google Scholar 

  59. Armstrong M, Hume E, McNeillie L, Chambers F, Wakenshaw L, et al. Behavioural modification interventions alongside pulmonary rehabilitation improve COPD patients’ experiences of physical activity. Respir Med. 2021;180:106353.

    Article  PubMed  Google Scholar 

  60. Bentley CL, Powell L, Potter S, Parker J, Mountain GA, Bartlett YK, et al. The use of a smartphone app and an activity tracker to promote physical activity in the management of chronic obstructive pulmonary disease: randomized controlled feasibility study. JMIR Mhealth Uhealth. 2020;8(6):e16203.

    Article  PubMed  PubMed Central  Google Scholar 

  61. Larson JL, Webster KE. Feasibility and acceptability of active for life with COPD, an intervention to increase light physical activity in people with COPD. Heart Lung. 2020;49(2):132–8.

    Article  PubMed  PubMed Central  Google Scholar 

  62. Robinson SA, Shimada SL, Quigley KS, Moy ML. A web-based physical activity intervention benefits persons with low self-efficacy in COPD: results from a randomized controlled trial. J Behav Med. 2019;42(6):1082–90.

    Article  PubMed  PubMed Central  Google Scholar 

  63. Wootton SL, Hill K, Alison JA, Ng LWC, et al. Effects of ground-based walking training on daily physical activity in people with COPD: a randomised controlled trial. Respir Med. 2017;132:139–45.

    Article  PubMed  Google Scholar 

  64. Widyastuti K, Makhabah DN, Setijadi AR, Sutanto YS, Ambrosino N, et al. Benefits and costs of home pedometer assisted physical activity in patients with COPD. A preliminary randomized controlled trial. Pulmonology. 2018;24(4):211–8.

    Article  CAS  PubMed  Google Scholar 

  65. Arbillaga-Etxarri A, Gimeno-Santos E, Barberan-Garcia A, Balcells E, et al. Long-term efficacy and effectiveness of a behavioural and community-based exercise intervention (Urban Training) to increase physical activity in patients with COPD: a randomised controlled trial. Eur Respir J. 2018;52(4):1800063.

    Article  PubMed  PubMed Central  Google Scholar 

  66. Cruz J, Brooks D, Marques A. Walk2Bactive: A randomised controlled trial of a physical activity-focused behavioural intervention beyond pulmonary rehabilitation in chronic obstructive pulmonary disease. Chron Respir Dis. 2016;13(1):57–66.

    Article  PubMed  Google Scholar 

  67. Mendoza L, Horta P, Espinoza J, Aguilera M, et al. Pedometers to enhance physical activity in COPD: a randomised controlled trial. Eur Respir J. 2015;45(2):347–54.

    Article  PubMed  Google Scholar 

  68. Altenburg WA, Ten HN, Bossenbroek L, Kerstjens HA, et al. Short- and long-term effects of a physical activity counselling programme in COPD: a randomized controlled trial. Respir Med. 2015;109(1):112–21.

    Article  PubMed  Google Scholar 

  69. Larson JL, Covey MK, Kapella MC, Alex CG, McAuley E. Self-efficacy enhancing intervention increases light physical activity in people with chronic obstructive pulmonary disease. Int J Chron Obstruct Pulmon Dis. 2014;9:1081–90.

    Article  PubMed  PubMed Central  Google Scholar 

  70. Breyer MK, Breyer-Kohansal R, Funk GC, Dornhofer N, et al. Nordic walking improves daily physical activities in COPD: a randomised controlled trial. Respir Res. 2010;11(1):112.

    Article  PubMed  PubMed Central  Google Scholar 

  71. Seene T, Kaasik P. Muscle weakness in the elderly: role of sarcopenia, dynapenia, and possibilities for rehabilitation. Eur Rev Aging Phys Act. 2012;9(2):109–17.

    Article  Google Scholar 

  72. Langdahl BL. Osteoporosis in premenopausal women. Curr Opin Rheumatol. 2017;29(4):410–5.

    Article  PubMed  Google Scholar 

  73. Blinderman CD, Homel P, Billings JA, Tennstedt S, Portenoy RK. Symptom distress and quality of life in patients with advanced chronic obstructive pulmonary disease. J Pain Symptom Manage. 2009;38(1):115–23.

    Article  PubMed  Google Scholar 

  74. Nyssen SM, Santos JG, Barusso MS, Oliveira AD Jr, Lorenzo VA, Jamami M. Levels of physical activity and predictors of mortality in COPD. J Bras Pneumol. 2013;39(6):659–66.

    Article  PubMed  PubMed Central  Google Scholar 

  75. Alahmari AD, Kowlessar BS, Patel AR, Mackay AJ, et al. Physical activity and exercise capacity in patients with moderate COPD exacerbations. Eur Respir J. 2016;48(2):340–9.

    Article  PubMed  Google Scholar 

  76. Inoue D, Watanabe R, Okazaki R. COPD and osteoporosis: links, risks, and treatment challenges. Int J Chron Obstruct Pulmon Dis. 2016;11:637–48.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  77. Panagioti M, Scott C, Blakemore A, Coventry PA. Overview of the prevalence, impact, and management of depression and anxiety in chronic obstructive pulmonary disease. Int J Chron Obstruct Pulmon Dis. 2014;9:1289–306.

    PubMed  PubMed Central  Google Scholar 

  78. Lahham A, Burge AT, McDonald CF, Holland AE. How do healthcare professionals perceive physical activity prescription for community-dwelling people with COPD in Australia a qualitative study. BMJ Open. 2020;10(8):e035524.

    Article  PubMed  PubMed Central  Google Scholar 

  79. Stevens D, Andreou P, Rainham D. Environmental correlates of physical activity, sedentary behavior, and self-rated health in chronic obstructive pulmonary disease. J Cardiopulm Rehabil Prev. 2022;42(3):190–5.

    Article  PubMed  Google Scholar 

  80. Wshah A, Selzler AM, Hill K, Brooks D, Goldstein R. Embedding a behavior change program designed to reduce sedentary time within a pulmonary rehabilitation program is feasible in people With COPD. J Cardiopulm Rehabil Prev. 2022;42(1):45–51.

    Article  PubMed  Google Scholar 

  81. Dogra S, Good J, Gardiner PA, Copeland JL, et al. Effects of replacing sitting time with physical activity on lung function: an analysis of the Canadian longitudinal study on aging. Health Rep. 2019;30(3):12–23.

    PubMed  Google Scholar 

  82. Donaire-Gonzalez D, Gimeno-Santos E, Balcells E, de Batlle J, et al. Benefits of physical activity on COPD hospitalisation depend on intensity. Eur Respir J. 2015;46(5):1281–9.

    Article  CAS  PubMed  Google Scholar 

  83. Qiu S, Cai X, Wang X, He C, et al. Using step counters to promote physical activity and exercise capacity in patients with chronic obstructive pulmonary disease: a meta-analysis. Ther Adv Respir Dis. 2018;12:1024444870.

    Article  Google Scholar 

  84. Watz H, Pitta F, Rochester CL, ZuWallack R, Troosters T, et al. An official European respiratory society statement on physical activity in COPD. Eur Respir J. 2014;44(6):1521–37.

    Article  PubMed  Google Scholar 

  85. Spruit MA, Pitta F, McAuley E, ZuWallack RL, Nici L. Pulmonary rehabilitation and physical activity in patients with chronic obstructive pulmonary disease. Am J Respir Crit Care Med. 2015;192(8):924–33.

    Article  PubMed  Google Scholar 

  86. Bluethmann SM, Bartholomew LK, Murphy CC, et al. Use of theory in behavior change interventions. Health Educ Behav. 2017;44(2):245–53.

    Article  PubMed  Google Scholar 

  87. Bull FC, Al-Ansari SS, Biddle S, Buman MP, et al. World Health organization 2020 guidelines on physical activity and sedentary behaviour. Br J Sports Med. 2020;54(24):1451–62.

    Article  PubMed  Google Scholar 

  88. Dyrstad SM, Hansen BH, Holme IM, Anderssen SA. Comparison of self-reported versus accelerometer-measured physical activity. Med Sci Sports Exerc. 2014;46(1):99–106.

    Article  PubMed  Google Scholar 

  89. Liao SY, Benzo R, Ries AL, Soler X. Physical activity monitoring in patients with chronic obstructive pulmonary disease. Chronic Obstr Pulm Dis. 2014;1(2):155–65.

    PubMed  PubMed Central  Google Scholar 

  90. Dannecker KL, Sazonova NA, Melanson EL, Sazonov ES, Browning RC. A comparison of energy expenditure estimation of several physical activity monitors. Med Sci Sports Exerc. 2013;45(11):2105–12.

    Article  PubMed  PubMed Central  Google Scholar 

  91. Van Remoortel H, Raste Y, Louvaris Z, Giavedoni S, Burtin C, Langer D, et al. Validity of six activity monitors in chronic obstructive pulmonary disease: a comparison with indirect calorimetry. PLoS ONE. 2012;7(6):e39198.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

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This work was supported by grants from General Public Welfare Projects of Science and Technology Department of Zhejiang Province of China (LGF20G030009).

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XYX was involved in the data curation, visualization and and writing of the original draft. LHH was involved in the conceptualization, methodology, and writing. YF and SSC independently screened the titles and abstracts of the studies according to the inclusion criteria. XYX and MYZ also independently extracted and analyzed the data from these studies. All authors read and approved the final manuscript.

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Xiang, X., Huang, L., Fang, Y. et al. Physical activity and chronic obstructive pulmonary disease: a scoping review. BMC Pulm Med 22, 301 (2022). https://doi.org/10.1186/s12890-022-02099-4

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