Construct validity of the brief physical activity assessment tool for clinical use in COPD

Cruz, Joana; Jácome, Cristina; Oliveira, Ana; Paixão, Cátia; Rebelo, Patrícia; Flora, Sofia; Januário, Filipa; Valente, Carla; Andrade, Lília; Marques, Alda

doi:10.1111/crj.13333

Cited by 11 publications

(11 citation statements)

References 46 publications

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“…The demographics of the eligible and not eligible participants are summarized in Table 2. Overall, groups had similar characteristics and only differed with regard to their body mass index (Median (IQR) 26 (23)(24)(25)(26)(27)(28)(29)(30) kg/m 2 vs 25 (23)(24)(25)(26)(27)(28)(29) kg/m 2 , p = 0.04).…”

Section: Resultsmentioning

confidence: 98%

“… Notes : *In the previous 3 and 12 months. Abbreviations : PA, Brief physical activity assessment; 29 , 30 ETS, Environmental tobacco smoke; A2 Score, adult asthma epidemiological score; 17 CARAT, Control of Allergic Rhinitis and Asthma Test; 20 Spirometry pre- and post-bronchodilator; 31 FeNO, Fractional exhaled nitric oxide. 32 …”

Section: Methodsmentioning

confidence: 99%

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Prevalence and Characterisation of Patients with Asthma According to Disease Severity in Portugal: Findings from the EPI-ASTHMA Pilot Study

João¹,

Jácome²,

Brito³

et al. 2022

JAA

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To assess the feasibility of the procedures of EPI-ASTHMA. EPI-ASTHMA is a population-based multicentre stepwise study about the prevalence and characterisation of patients with asthma based on disease severity in Portugal. Methods: A pilot study of EPI-ASTHMA was conducted with adults from three primary care centres. We followed a stepwise approach comprising 4 stages: stage 0-invitation phone call (n ~1316); stage 1-telephone interview (n ~658); stage 2-clinical assessment with physical examination, diagnostic tests, and patient-reported outcome measures, to confirm the diagnosis of those with possible asthma at stage 1 (n ~160); stage 3-characterization of a subgroup of asthma patients by collecting data through a telephone interview, patient file review and CARATm app (n ~40), after 3-months. The frequency of asthma was calculated in relation to the entire study population (stage 1) and the frequency of difficult-to-treat/severe asthma in relation to the number of asthma patients (stage 3). Results: From 1305 adults invited, 892 (68%) accepted to participate (stage 0) and 574 (64%; 53[42-67] y; 43% male) were interviewed (stage 1). From those, 148 (26%;[60][61][62][63][64][65][66][67][68] y; 43% male) were assessed at stage 2, and 46 (31%; 51[39-67] y; 44% male) were diagnosed with asthma. Half of these patients (n = 23) accepted to install the app. Stage 3 was completed by 41 (93%) patients, of whom 31 (83%) had asthma confirmed by their file review. A total of 8% of participants had asthma, of those 17% had difficult-to-treat and 5% severe asthma. Conclusion: Attained recruitment rates and the quality of the results confirmed the feasibility of the EPI-ASTHMA stepwise approach. This pilot study provided insight into the improvement of the procedures to be generalized across the country.

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Section: Resultsmentioning

confidence: 98%

Section: Methodsmentioning

confidence: 99%

Prevalence and Characterisation of Patients with Asthma According to Disease Severity in Portugal: Findings from the EPI-ASTHMA Pilot Study

João¹,

Jácome²,

Brito³

et al. 2022

JAA

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“…These results seem to point toward an overestimation of the PA levels on the BPAAT when compared with the objective measure (accelerometry), which is a known limitation of PA questionnaires (34). Although validated for COPD and quick and easy to implement, the BPAAT was only weakly to moderately correlated with accelerometry and thus caution is needed when using it in clinical practice (22). The increased time spent in sedentary behavior by PA App users is also an important finding for mHealth developers.…”

Section: Discussionmentioning

confidence: 99%

“…The Brief Physical Activity Assessment Tool (BPAAT) and accelerometry ( 22 , 23 ) were used to assess participants' self-reported and objective levels of PA, respectively. The BPAAT is a simple, quick, and validated ( 22 ) questionnaire to use in clinical practice. It allows classifying patients in insufficiently (score < 4) or sufficiently active (score ≥ 4).…”

Section: Methodsmentioning

confidence: 99%

Phenotyping Adopters of Mobile Applications Among Patients With COPD: A Cross-Sectional Study

Flora¹,

Hipólito²,

Brooks³

et al. 2021

Front. Rehabilit. Sci.

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Effectiveness of technology-based interventions to improve physical activity (PA) in people with COPD is controversial. Mixed results may be due to participants' characteristics influencing their use of and engagement with mobile health apps. This study compared demographic, clinical, physical and PA characteristics of patients with COPD using and not using mobile apps in daily life. Patients with COPD who used smartphones were asked about their sociodemographic and clinic characteristics, PA habits and use of mobile apps (general and PA-related). Participants performed a six-minute walk test (6MWT), gait speed test and wore an accelerometer for 7 days. Data were compared between participants using (App Users) and not using (Non-App Users) mobile apps. A sub-analysis was conducted comparing characteristics of PA–App Users and Non-Users. 59 participants were enrolled (73% Male; 66.3 ± 8.3 yrs; FEV1 48.7 ± 18.4% predicted): 59% were App Users and 25% were PA-App Users. Significant differences between App Users and Non-App Users were found for age (64.2 ± 8.9 vs. 69.2 ± 6.3yrs), 6MWT (462.9 ± 91.7 vs. 414.9 ± 82.3 m), Gait Speed (Median 1.5 [Q1–Q3: 1.4–1.8] vs. 2.0 [1.0–1.5]m/s), Time in Vigorous PA (0.6 [0.2–2.8] vs. 0.14 [0.1–0.7]min) and Self-Reported PA (4.0 [1.0–4.0] vs. 1.0 [0.0–4.0] Points). Differences between PA–App Users and Non-Users were found in time in sedentary behavior (764.1 [641.8–819.8] vs. 672.2 [581.2–749.4] min) and self-reported PA (4.0 [2.0–6.0] vs. 2.0 [0.0–4.0] points). People with COPD using mobile apps were younger and had higher physical capacity than their peers not using mobile apps. PA-App Users spent more time in sedentary behaviors than Non-Users although self-reporting more time in PA.

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“…A computer-assisted telephone screening interview will be performed to 7500 participants. The interview will include validated patient-reported outcome measures for screening asthma 14 and chronic obstructive pulmonary disease, 15 dyspnoea 16 and assessment of physical activity, 17 18 among other questions formulated by the researchers ( table 2 ). At this stage, participants will be considered eligible and invited to participate in stage 2 if they have, at least, one positive response in the Adult Asthma Score (A2 Score), 14 that is, medical history of asthma or asthma medication intake or asthma symptoms.…”

Section: Methods and Analysismentioning

confidence: 99%

EPI-ASTHMA study protocol: a population-based multicentre stepwise study on the prevalence and characterisation of patients with asthma according to disease severity in Portugal

et al. 2022

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IntroductionIn Portugal as in other countries, data on the epidemiology of asthma are mainly grounded in questionnaire studies. Additionally, the detailed characterisation of asthma in terms of disease severity, control and phenotypes remain scarce. Studies assessing the prevalence of asthma and its subgroups using accurate methods are needed. This study aims to determine the prevalence of asthma, difficult-to-treat asthma and severe asthma, and to evaluate sociodemographic and clinical characteristics of those patients, in mainland Portugal.Methods and analysisA population-based nationwide study with a multicentre stepwise approach will be conducted between 2021 and 2023 in 38 primary care centres of the Portuguese National Health Service. The stepwise approach will comprise four stages: Stage 0—telephone call invitation to adult subjects (≥18 years) randomly selected (n~15 000); stage 1—telephone screening interview assessing the participants’ respiratory symptoms (n~7500); stage 2—diagnostic visit, including physical examination, diagnostic tests (eg, spirometry, fraction of exhaled nitric oxide, blood eosinophil count) and patient-reported outcome measures for diagnostic confirmation of those identified with possible asthma at stage 1 (n~1800); stage 3—further evaluation of patients with asthma and of patients with difficult-to-treat asthma and severe asthma, after 3 months (n~460). At stage 3, data will be collected from a review of the patient’s electronic health records, a follow-up telephone call and the CARATm (Caracteristicas Auto-reportadas de Asma em Tecnologias Móveis) app database. The prevalence of asthma, difficult-to-treat asthma and severe asthma will be determined as the percentage of patients with asthma confirmed from the overall population (stage 1). For the analysis of factors associated with asthma, difficult-to-treat asthma and severe asthma, logistic regression models will be explored.Ethics and disseminationEthical approvals for the study were obtained from the ethics committee of the local health unit of Matosinhos, Porto (38/CES/JAS), Alto Minho (38/2021/CES) and the regional health administration of Lisbon-Vale do Tejo (035/CES/INV/2021). Results will be published in peer-reviewed journals.Trial registration numberNCT05169619.

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Construct validity of the brief physical activity assessment tool for clinical use in COPD

Cited by 11 publications

References 46 publications

Prevalence and Characterisation of Patients with Asthma According to Disease Severity in Portugal: Findings from the EPI-ASTHMA Pilot Study

Prevalence and Characterisation of Patients with Asthma According to Disease Severity in Portugal: Findings from the EPI-ASTHMA Pilot Study

Phenotyping Adopters of Mobile Applications Among Patients With COPD: A Cross-Sectional Study

EPI-ASTHMA study protocol: a population-based multicentre stepwise study on the prevalence and characterisation of patients with asthma according to disease severity in Portugal

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