scholarly journals Physical activity patterns and clusters in 1001 patients with COPD

2017 ◽  
Vol 14 (3) ◽  
pp. 256-269 ◽  
Author(s):  
Rafael Mesquita ◽  
Gabriele Spina ◽  
Fabio Pitta ◽  
David Donaire-Gonzalez ◽  
Brenda M Deering ◽  
...  
Keyword(s):  
Physical Activity ◽  
Activity Patterns ◽  
Airflow Obstruction ◽  
Principal Component ◽  
Forced Expiratory Volume ◽  
Daily Physical Activity ◽  
Chronic Obstructive ◽  
Activity Data ◽  
Obstructive Pulmonary Disease ◽  
Activity Measures

We described physical activity measures and hourly patterns in patients with chronic obstructive pulmonary disease (COPD) after stratification for generic and COPD-specific characteristics and, based on multiple physical activity measures, we identified clusters of patients. In total, 1001 patients with COPD (65% men; age, 67 years; forced expiratory volume in the first second [FEV1], 49% predicted) were studied cross-sectionally. Demographics, anthropometrics, lung function and clinical data were assessed. Daily physical activity measures and hourly patterns were analysed based on data from a multisensor armband. Principal component analysis (PCA) and cluster analysis were applied to physical activity measures to identify clusters. Age, body mass index (BMI), dyspnoea grade and ADO index (including age, dyspnoea and airflow obstruction) were associated with physical activity measures and hourly patterns. Five clusters were identified based on three PCA components, which accounted for 60% of variance of the data. Importantly, couch potatoes (i.e. the most inactive cluster) were characterised by higher BMI, lower FEV1, worse dyspnoea and higher ADO index compared to other clusters ( p < 0.05 for all). Daily physical activity measures and hourly patterns are heterogeneous in COPD. Clusters of patients were identified solely based on physical activity data. These findings may be useful to develop interventions aiming to promote physical activity in COPD.

scholarly journals Household Food Insecurity, Lung Function, and COPD in US Adults

Nutrients ◽  
2021 ◽  
Vol 13 (6) ◽  
pp. 2098
Author(s):  
Francisca de Castro Mendes ◽  
Kirstie Ducharme-Smith ◽  
Gustavo Mora-Garcia ◽  
Saleh A. Alqahtani ◽  
Maria Stephany Ruiz-Diaz ◽  
...  
Keyword(s):  
Lung Function ◽  
Food Insecurity ◽  
Representative Sample ◽  
Airflow Obstruction ◽  
Forced Expiratory Volume ◽  
Chronic Obstructive ◽  
Obstructive Pulmonary Disease ◽  
The Us ◽  
Nationally Representative ◽  
Lung Health

Increasing epidemiological evidence suggests that optimal diet quality helps to improve preservation of lung function and to reduce chronic obstructive pulmonary disease (COPD) risk, but no study has investigated the association of food insecurity (FI) and lung health in the general population. Using data from a representative sample of US adults who participated in the National Health and Nutrition Examination Survey (NHANES) 2007–2012 cycles, we investigated the association between FI with lung function and spirometrically defined COPD in 12,469 individuals aged ≥ 18 years of age. FI (high vs. low) was defined using the US Department of Agriculture’s Food Security Scale). Population-weighted adjusted regression models were used to investigate associations between FI, and forced expiratory volume in 1 s (FEV1), forced vital capacity (FVC), their ratio, and spirometrically defined restriction (FVC below the lower limit of normal) and airflow obstruction (COPD). The prevalence of household FI was 13.2%. High household FI was associated with lower FVC (adjusted β-coefficient −70.9 mL, 95% CI −116.6, −25.3), and with higher odds (OR) of spirometric restriction (1.02, 95% CI 1.00, 1.03). Stratified analyses showed similar effect sizes within specific ethnic groups. High FI was associated with worse lung health in a nationally representative sample of adults in the US.

scholarly journals Lung function, forced expiratory volume in 1 s decline and COPD hospitalisations over 44 years of follow-up

2015 ◽  
Vol 47 (3) ◽  
pp. 742-750 ◽  
Author(s):  
Suneela Zaigham ◽  
Per Wollmer ◽  
Gunnar Engström
Keyword(s):  
Lung Function ◽  
Airflow Obstruction ◽  
Fixed Ratio ◽  
Population Based ◽  
Forced Expiratory Volume ◽  
Chronic Obstructive ◽  
Lung Function Decline ◽  
Obstructive Pulmonary Disease ◽  
Hazard Ratios

The use of baseline lung function in the prediction of chronic obstructive pulmonary disease (COPD) hospitalisations, all-cause mortality and lung function decline was assessed in the population-based “Men Born in 1914” cohort.Spirometry was assessed at age 55 years in 689 subjects, of whom 392 had spirometry reassessed at age 68  years. The cohort was divided into three groups using fixed ratio (FR) and lower limit of normal (LLN) criterion: forced expiratory volume in 1 s (FEV1)/vital capacity (VC) ≥70%, FEV1/VC <70% but ≥LLN (FR+LLN−), and FEV1/VC <70% and <LLN (FR+LLN+).Over 44 years of follow-up, 88 men were hospitalised due to COPD and 686 died. Hazard ratios (95% CI) for incident COPD hospitalisation were 4.15 (2.24–7.69) for FR+LLN− and 7.88 (4.82–12.87) for FR+LLN+ (reference FEV1/VC ≥70%). Hazard ratios for death were 1.30 (0.98–1.72) for FR+LLN− and 1.58 (1.25–2.00) for FR+LLN+. The adjusted FEV1 decline between 55 and 68 years of age was higher for FR+LLN− and FR+LLN+ relative to the reference. Of those with FR+LLN− at 55 years, 53% had progressed to the FR+LLN+ group at 68 years.Airflow obstruction at age 55 years is a powerful risk factor for future COPD hospitalisations. The FR+LLN− group should be carefully evaluated in clinical practice in relation to future risks and potential benefit from early intervention. This is reinforced by the increased FEV1 decline in this group.

scholarly journals Quantile Coarsening Analysis of High-Volume Wearable Activity Data in a Longitudinal Observational Study

Sensors ◽  
2018 ◽  
Vol 18 (9) ◽  
pp. 3056 ◽  
Author(s):  
Ying Cheung ◽  
Pei-Yun Hsueh ◽  
Ipek Ensari ◽  
Joshua Willey ◽  
Keith Diaz
Keyword(s):  
Physical Activity ◽  
Activity Patterns ◽  
High Volume ◽  
Original Data ◽  
Individual Characteristics ◽  
Daily Physical Activity ◽  
Sampled Data ◽  
Activity Data ◽  
Partner Status ◽  
Versatile Tool

Owing to advances in sensor technologies on wearable devices, it is feasible to measure physical activity of an individual continuously over a long period. These devices afford opportunities to understand individual behaviors, which may then provide a basis for tailored behavior interventions. The large volume of data however poses challenges in data management and analysis. We propose a novel quantile coarsening analysis (QCA) of daily physical activity data, with a goal to reduce the volume of data while preserving key information. We applied QCA to a longitudinal study of 79 healthy participants whose step counts were monitored for up to 1 year by a Fitbit device, performed cluster analysis of daily activity, and identified individual activity signature or pattern in terms of the clusters identified. Using 21,393 time series of daily physical activity, we identified eight clusters. Employment and partner status were each associated with 5 of the 8 clusters. Using less than 2% of the original data, QCA provides accurate approximation of the mean physical activity, forms meaningful activity patterns associated with individual characteristics, and is a versatile tool for dimension reduction of densely sampled data.

scholarly journals Impact of feedback on physical activity levels of individuals with chronic obstructive pulmonary disease during pulmonary rehabilitation

2014 ◽  
Vol 11 (4) ◽  
pp. 191-198 ◽  
Author(s):  
Joana Cruz ◽  
Dina Brooks ◽  
Alda Marques
Keyword(s):  
Physical Activity ◽  
Chronic Obstructive Pulmonary Disease ◽  
Pulmonary Disease ◽  
Pulmonary Rehabilitation ◽  
Forced Expiratory Volume ◽  
Chronic Obstructive ◽  
Obstructive Pulmonary Disease ◽  
Activity Monitors ◽  
Standing Time ◽  
The Impact

This study aimed at investigating whether providing feedback on physical activity (PA) levels to patients with chronic obstructive pulmonary disease (COPD) is feasible and enhances daily PA during pulmonary rehabilitation (PR). Patients with COPD participated in a 12-week PR program. Daily PA was measured using activity monitors on weeks 1, 7, and 12, and feedback was given in the following weeks on the number of steps, time spent in sedentary, light, and moderate-to-vigorous intensity activities, and time spent standing, sitting, and lying. Compliance with PA monitoring was collected. Two focus groups were conducted to obtain patients’ perspectives on the use of activity monitors and on the feedback given. Differences in PA data were also assessed. Sixteen patients (65.63 ± 10.57 years; forced expiratory volume in one second (FEV1) 70.31 ± 22.74% predicted) completed the study. From those, only eleven participants used the activity monitors during all monitoring days. Participants identified several problems regarding the use of activity monitors and monitoring duration. Daily steps (  p = 0.026) and standing time (  p = 0.030) were improved from week 1 to week 7; however, the former declined from week 7 to week 12. Findings suggest that using feedback to improve PA during PR is feasible and results in improved daily steps and standing time on week 7. The subsequent decline suggests that additional strategies may be needed to stimulate/maintain PA improvements. Further research with more robust designs is needed to investigate the impact of feedback on patients’ daily PA.

scholarly journals Benefits of physical activity on COPD hospitalisation depend on intensity

2015 ◽  
Vol 46 (5) ◽  
pp. 1281-1289 ◽  
Author(s):  
David Donaire-Gonzalez ◽  
Elena Gimeno-Santos ◽  
Eva Balcells ◽  
Jordi de Batlle ◽  
Maria A. Ramon ◽  
...  
Keyword(s):  
Physical Activity ◽  
Risk Reduction ◽  
Cox Regression ◽  
Forced Expiratory Volume ◽  
Chronic Obstructive ◽  
Average Intensity ◽  
Physically Active ◽  
Obstructive Pulmonary Disease ◽  
Intensity Physical Activity

The present study aims to disentangle the independent effects of the quantity and the intensity of physical activity on the risk reduction of chronic obstructive pulmonary disease (COPD) hospitalisations.177 patients from the Phenotype Characterization and Course of COPD (PAC-COPD) cohort (mean±sd age 71±8 years, forced expiratory volume in 1 s 52±16% predicted) wore the SenseWear Pro 2 Armband accelerometer (BodyMedia, Pittsburgh, PA, USA) for eight consecutive days, providing data on quantity (steps per day, physically active days and daily active time) and intensity (average metabolic equivalent tasks) of physical activity. Information on COPD hospitalisations during follow-up (2.5±0.8 years) was obtained from validated centralised datasets.During follow-up 67 (38%) patients were hospitalised. There was an interaction between quantity and intensity of physical activity in their effects on COPD hospitalisation risk. After adjusting for potential confounders in the Cox regression model, the risk of COPD hospitalisation was reduced by 20% (hazard ratio (HR) 0.79, 95% CI 0.67–0.93; p=0.005) for every additional 1000 daily steps at low average intensity. A greater quantity of daily steps at high average intensity did not influence the risk of COPD hospitalisations (HR 1.01, p=0.919). Similar results were found for the other measures of quantity of physical activity.Greater quantity of low-intensity physical activity reduces the risk of COPD hospitalisation, but high-intensity physical activity does not produce any risk reduction.

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