scholarly journals Physical activity, sedentary behaviour and sleep in COPD guidelines: A systematic review

2017 ◽  
Vol 14 (3) ◽  
pp. 231-244 ◽  
Author(s):  
Hayley Lewthwaite ◽  
Tanja W Effing ◽  
Timothy Olds ◽  
Marie T Williams

Objectives: Physical activity, sedentary and sleep behaviours have strong associations with health. This systematic review aimed to identify how clinical practice guidelines (CPGs) for the management of chronic obstructive pulmonary disease (COPD) report specific recommendations and strategies for these movement behaviours. Methods: A systematic search of databases (Medline, Scopus, CiNAHL, EMbase, Clinical Guideline), reference lists and websites identified current versions of CPGs published since 2005. Specific recommendations and strategies concerning physical activity, sedentary behaviour and sleep were extracted verbatim. The proportions of CPGs providing specific recommendations and strategies were reported. Results: From 2370 citations identified, 35 CPGs were eligible for inclusion. Of these, 21 (60%) provided specific recommendations for physical activity, while none provided specific recommendations for sedentary behaviour or sleep. The most commonly suggested strategies to improve movement behaviours were encouragement from a healthcare provider (physical activity n = 20; sedentary behaviour n = 2) and referral for a diagnostic sleep study (sleep n = 4). Conclusion: Since optimal physical activity, sedentary behaviour and sleep durations and patterns are likely to be associated with mitigating the effects of COPD, as well as with general health and well-being, there is a need for further COPD-specific research, consensus and incorporation of recommendations and strategies into CPGs.

PeerJ ◽  
2018 ◽  
Vol 6 ◽  
pp. e4604 ◽  
Author(s):  
Hayley Lewthwaite ◽  
Tanja W. Effing ◽  
Anke Lenferink ◽  
Tim Olds ◽  
Marie T. Williams

Background Little is known about how to achieve enduring improvements in physical activity (PA), sedentary behaviour (SB) and sleep for people with chronic obstructive pulmonary disease (COPD). This study aimed to: (1) identify what people with COPD from South Australia and the Netherlands, and experts from COPD- and non-COPD-specific backgrounds considered important to improve behaviours; and (2) identify areas of dissonance between these different participant groups. Methods A four-round Delphi study was conducted, analysed separately for each group. Free-text responses (Round 1) were collated into items within themes and rated for importance on a 9-point Likert scale (Rounds 2–3). Items meeting a priori criteria from each group were retained for rating by all groups in Round 4. Items and themes achieving a median Likert score of ≥7 and an interquartile range of ≤2 across all groups at Round 4 were judged important. Analysis of variance with Tukey’s post-hoc tested for statistical differences between groups for importance ratings. Results Seventy-three participants consented to participate in this study, of which 62 (85%) completed Round 4. In Round 4, 81 items (PA n = 54; SB n = 24; sleep n = 3) and 18 themes (PA n = 9; SB n = 7; sleep n = 2) were considered important across all groups concerning: (1) symptom/disease management, (2) targeting behavioural factors, and (3) less commonly, adapting the social/physical environments. There were few areas of dissonance between groups. Conclusion Our Delphi participants considered a multifactorial approach to be important to improve PA, SB and sleep. Recognising and addressing factors considered important to recipients and providers of health care may provide a basis for developing behaviour-specific interventions leading to long-term behaviour change in people with COPD.


2018 ◽  
Author(s):  
Alina Trifan ◽  
Maryse Oliveira ◽  
José Luís Oliveira

BACKGROUND Technological advancements, together with the decrease in both price and size of a large variety of sensors, has expanded the role and capabilities of regular mobile phones, turning them into powerful yet ubiquitous monitoring systems. At present, smartphones have the potential to continuously collect information about the users, monitor their activities and behaviors in real time, and provide them with feedback and recommendations. OBJECTIVE This systematic review aimed to identify recent scientific studies that explored the passive use of smartphones for generating health- and well-being–related outcomes. In addition, it explores users’ engagement and possible challenges in using such self-monitoring systems. METHODS A systematic review was conducted, following Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, to identify recent publications that explore the use of smartphones as ubiquitous health monitoring systems. We ran reproducible search queries on PubMed, IEEE Xplore, ACM Digital Library, and Scopus online databases and aimed to find answers to the following questions: (1) What is the study focus of the selected papers? (2) What smartphone sensing technologies and data are used to gather health-related input? (3) How are the developed systems validated? and (4) What are the limitations and challenges when using such sensing systems? RESULTS Our bibliographic research returned 7404 unique publications. Of these, 118 met the predefined inclusion criteria, which considered publication dates from 2014 onward, English language, and relevance for the topic of this review. The selected papers highlight that smartphones are already being used in multiple health-related scenarios. Of those, physical activity (29.6%; 35/118) and mental health (27.9; 33/118) are 2 of the most studied applications. Accelerometers (57.7%; 67/118) and global positioning systems (GPS; 40.6%; 48/118) are 2 of the most used sensors in smartphones for collecting data from which the health status or well-being of its users can be inferred. CONCLUSIONS One relevant outcome of this systematic review is that although smartphones present many advantages for the passive monitoring of users’ health and well-being, there is a lack of correlation between smartphone-generated outcomes and clinical knowledge. Moreover, user engagement and motivation are not always modeled as prerequisites, which directly affects user adherence and full validation of such systems.


2021 ◽  
pp. 201010582110664
Author(s):  
Chevonne Chang ◽  
John Wong ◽  
Ahmad Iqbal Kamari ◽  
Sophia C Hui Cheah ◽  
Mark A Chan ◽  
...  

Background Individuals recovering from acute exacerbation of chronic obstructive pulmonary disease (AECOPD) are most likely to exhibit sedentary behaviour (SB) and low levels of physical activity (PA). This study seeks to explore their choices for adopting current patterns of SB and PA post AECOPD and add to current literature on stable COPD. Method A semi-structured interview, based on the broad framework of the Behaviour Change Wheel, was conducted on patients post AECOPD. A phenomenological approach was utilised inductively. Results Six participants were interviewed at their homes. Four major themes were identified: (1) low perceived capabilities for engaging in PA; (2) limited understanding on COPD and PA; (3) lack of translation of health knowledge and intentions into actions; and (4) poor adherence to movement-advice from physiotherapist. Conclusion Our findings revealed largely psychological and behavioural deficits influencing SB and PA in people post AECOPD, similar to those in stable COPD.


2016 ◽  
Vol 48 (1) ◽  
pp. 69-81 ◽  
Author(s):  
Leandro Cruz Mantoani ◽  
Noah Rubio ◽  
Brian McKinstry ◽  
William MacNee ◽  
Roberto A. Rabinovich

The broad range of interventions to increase physical activity (PA) in patients with chronic obstructive pulmonary disease (COPD) has not been systematically assessed. We aimed to perform a systematic review of the interventional studies that have assessed PA as an outcome in patients with COPD.A systematic search in five different databases (Medline, Embase, PsycINFO, CINAHL and Web of Science) was performed in March 2015. Two independent reviewers analysed the studies against the inclusion criteria (COPD defined by spirometry; prospective, randomised/nonrandomised studies, cohort and experimental studies with interventions using PA as an outcome), extracted the data and assessed the quality of evidence.60 studies were included. Seven intervention groups were identified. PA counselling increased PA levels in COPD, especially when combined with coaching. 13 studies showed positive effects of pulmonary rehabilitation (PR) on PA, while seven studies showed no changes. All three PR programmes >12 weeks in duration increased PA. Overall, the quality of evidence was graded as very low.Interventions focusing specifically on increasing PA, and longer PR programmes, may have greater impacts on PA in COPD. Well-designed clinical trials with objective assessment of PA in COPD patients are needed.


2013 ◽  
Vol 31 (1) ◽  
pp. 297-326 ◽  
Author(s):  
Janet L. Larson ◽  
Carol M. Vos ◽  
Dena Fernandez

People with chronic obstructive pulmonary disease (COPD) are very sedentary and this contributes to their health problems. The aim of this systematic review was to examine the effects of interventions designed to increase physical activity (PA) in people with COPD. Studies were included when PA was the primary outcome and measured objectively. Six databases were searched and 15 studies with a total of 761 subjects were identified that met inclusion criteria. Nine of the studies were quasi-experimental (QE) and six were randomized controlled trials (RCT). Interventions included pulmonary rehabilitation (


2021 ◽  
Vol 4 ◽  
pp. 110
Author(s):  
Ciara Hanrahan ◽  
Julie Broderick ◽  
Terence M. O’Connor ◽  
Joseph G. McVeigh

Background: Chronic obstructive pulmonary disease (COPD) is a complex respiratory disease and the third leading cause of death worldwide. Pulmonary rehabilitation is recognised as the gold standard of care in the management of COPD, however engagement with pulmonary rehabilitation is low and maintenance of a physically active lifestyle in community dwelling adults with COPD is poor. Supporting positive behaviour change in people with COPD could help to increase their engagement with physical activity. This systematic review will examine behaviour change and physical activity interventions delivered to community dwelling adults with COPD with the aim of increasing physical activity engagement. Interventions will be mapped against Michie’s theoretical domains framework (TDF) to inform clinical practice and health policy. Methods: The following databases will be searched from inception until December 2021: Web of Science, CENTRAL, MEDLINE (via EBSCO), EMBASE, APA PsychINFO, CINAHL (via EBSCO), AMED, PROSPERO, Cochrane Airways Trials Register. Reference lists of the relevant studies and grey literature will be searched using Grey Literature Report, Open Grey and Google Scholar search engines. Relevant studies will be systematically reviewed and subject to quality appraisal to determine the impact of behaviour change and physical activity interventions on outcomes of community-dwelling adults with COPD. Interventions will be mapped to Michie’s TDF and a narrative synthesis with respect to nature, effectiveness on target population and setting/environment will be provided. Findings will be reported in relation to the generalisability of the primary results and research question, and will include secondary findings on quality of life, self-reported participation in physical activity, exercise capacity, adverse events and intervention adherence. The review will be presented according to the PRISMA guidelines 2020. Conclusions: This systematic review is necessary to explain the impact of behaviour change and physical activity interventions on outcomes of community dwelling people with COPD. PROSPERO registration: CRD42021264965 (29.06.2021)


10.2196/12649 ◽  
2019 ◽  
Vol 7 (8) ◽  
pp. e12649 ◽  
Author(s):  
Alina Trifan ◽  
Maryse Oliveira ◽  
José Luís Oliveira

BackgroundTechnological advancements, together with the decrease in both price and size of a large variety of sensors, has expanded the role and capabilities of regular mobile phones, turning them into powerful yet ubiquitous monitoring systems. At present, smartphones have the potential to continuously collect information about the users, monitor their activities and behaviors in real time, and provide them with feedback and recommendations.ObjectiveThis systematic review aimed to identify recent scientific studies that explored the passive use of smartphones for generating health- and well-being–related outcomes. In addition, it explores users’ engagement and possible challenges in using such self-monitoring systems.MethodsA systematic review was conducted, following Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, to identify recent publications that explore the use of smartphones as ubiquitous health monitoring systems. We ran reproducible search queries on PubMed, IEEE Xplore, ACM Digital Library, and Scopus online databases and aimed to find answers to the following questions: (1) What is the study focus of the selected papers? (2) What smartphone sensing technologies and data are used to gather health-related input? (3) How are the developed systems validated? and (4) What are the limitations and challenges when using such sensing systems?ResultsOur bibliographic research returned 7404 unique publications. Of these, 118 met the predefined inclusion criteria, which considered publication dates from 2014 onward, English language, and relevance for the topic of this review. The selected papers highlight that smartphones are already being used in multiple health-related scenarios. Of those, physical activity (29.6%; 35/118) and mental health (27.9; 33/118) are 2 of the most studied applications. Accelerometers (57.7%; 67/118) and global positioning systems (GPS; 40.6%; 48/118) are 2 of the most used sensors in smartphones for collecting data from which the health status or well-being of its users can be inferred.ConclusionsOne relevant outcome of this systematic review is that although smartphones present many advantages for the passive monitoring of users’ health and well-being, there is a lack of correlation between smartphone-generated outcomes and clinical knowledge. Moreover, user engagement and motivation are not always modeled as prerequisites, which directly affects user adherence and full validation of such systems.


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