Dataset Information

Sedentary behaviour and physical activity in bronchiectasis: a cross-sectional study.

ABSTRACT: The impact of bronchiectasis on sedentary behaviour and physical activity is unknown. It is important to explore this to identify the need for physical activity interventions and how to tailor interventions to this patient population. We aimed to explore the patterns and correlates of sedentary behaviour and physical activity in bronchiectasis.Physical activity was assessed in 63 patients with bronchiectasis using an ActiGraph GT3X+ accelerometer over seven days. Patients completed: questionnaires on health-related quality-of-life and attitudes to physical activity (questions based on an adaption of the transtheoretical model (TTM) of behaviour change); spirometry; and the modified shuttle test (MST). Multiple linear regression analysis using forward selection based on likelihood ratio statistics explored the correlates of sedentary behaviour and physical activity dimensions. Between-group analysis using independent sample t-tests were used to explore differences for selected variables.Fifty-five patients had complete datasets. Average daily time, mean(standard deviation) spent in sedentary behaviour was 634(77)mins, light-lifestyle physical activity was 207(63)mins and moderate-vigorous physical activity (MVPA) was 25(20)mins. Only 11% of patients met recommended guidelines. Forced expiratory volume in one-second percentage predicted (FEV1% predicted) and disease severity were not correlates of sedentary behaviour or physical activity. For sedentary behaviour, decisional balance 'pros' score was the only correlate. Performance on the MST was the strongest correlate of physical activity. In addition to the MST, there were other important correlate variables for MVPA accumulated in ?10-minute bouts (QOL-B Social Functioning) and for activity energy expenditure (Body Mass Index and QOL-B Respiratory Symptoms).Patients with bronchiectasis demonstrated a largely inactive lifestyle and few met the recommended physical activity guidelines. Exercise capacity was the strongest correlate of physical activity, and dimensions of the QOL-B were also important. FEV1% predicted and disease severity were not correlates of sedentary behaviour or physical activity. The inclusion of a range of physical activity dimensions could facilitate in-depth exploration of patterns of physical activity. This study demonstrates the need for interventions targeted at reducing sedentary behaviour and increasing physical activity, and provides information to tailor interventions to the bronchiectasis population.NCT01569009 ("Physical Activity in Bronchiectasis").

SUBMITTER: Bradley JM

PROVIDER: S-EPMC4456779 | biostudies-literature | 2015 May

REPOSITORIES: biostudies-literature

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Sedentary behaviour and physical activity in bronchiectasis: a cross-sectional study.

Bradley Judy M JM Wilson Jason J JJ Hayes Kate K Kent Lisa L McDonough Suzanne S Tully Mark A MA Bradbury Ian I Kirk Alison A Cosgrove Denise D Convery Rory R Kelly Martin M Elborn Joseph Stuart JS O'Neill Brenda B

BMC pulmonary medicine 20150513

<h4>Background</h4>The impact of bronchiectasis on sedentary behaviour and physical activity is unknown. It is important to explore this to identify the need for physical activity interventions and how to tailor interventions to this patient population. We aimed to explore the patterns and correlates of sedentary behaviour and physical activity in bronchiectasis.<h4>Methods</h4>Physical activity was assessed in 63 patients with bronchiectasis using an ActiGraph GT3X+ accelerometer over seven day ...[more]

PMID: 25967368

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Project description:Objective Former sports participants do not necessarily maintain high levels of physical activity (PA) across their lifespan. Considering physical inactivity in former athletes is associated with an increased susceptibility to inactivity-related chronic diseases, research into PA behaviours in cricketers of all playing-standards is needed. The objective was to (1) describe PA and sedentary behaviour in current and former cricketers, and (2) determine the odds of current, former, recreational and elite cricketers meeting PA guidelines and health-enhancing PA (HEPA) compared with the general population. Study design Cross-sectional survey. Setting Questionnaire response, UK. Participants 2267 current and former cricketers (age: 52±15 years, male: 97%, current: 59%, recreational: 45%) participated. Cricketers were recruited through the Cricket Health and Wellbeing Study and met eligibility requirements (aged ≥18 years; played ≥1 year of cricket). Primary and secondary outcomes Age-matched and sex-matched data from Health Survey for England 2015 (n=3201) was used as the general population-based sample. The International Physical Activity Questionnaire Short-Form assessed PA. Logistic regression, adjusted for age, sex, body mass index, alcohol consumption, smoking, education and ethnicity were used to meet the second aim. Results 90% of current and 82% of former cricketers met UK PA guidelines. Current (OR 1.26, 95% CI 1.06 to 1.49)) and elite (OR 1.35, 95% CI 1.01 to 1.78) cricketers had greater odds of meeting UK PA guidelines, and elite cricketers had greater odds of HEPA (OR 1.19, 95% CI 1.02 to 1.42), compared with the general population. Former cricketers had reduced odds (OR 0.78, 95% CI 0.62 to 0.99) of meeting the UK PA guidelines compared with the general population. Conclusions Elite cricketers had a greater odds of meeting the PA guidelines and HEPA, compared with the general population. Former cricketers demonstrated reduced odds of meeting the PA guidelines compared with the general population. Strategies are needed to transition cricketers to an active lifestyle after retirement, since former cricketers demonstrated reduced odds of meeting the PA guidelines compared with the general population.

Project description:BackgroundPhysical inactivity and sedentary behaviour have detrimental consequences to the individual and the economy. Our study examined the prevalence of perceived barriers to physical activity in Singapore's adult population and their associations with physical activity and sedentary behaviour.MethodsThis cross-sectional analysis utilised data from a nationwide survey in Singapore. Participants (n = 2867) were recruited from February 2019 to March 2020. The independent variables were internal (e.g. fatigue, age) and external (e.g. weather, cost) perceived barriers to physical activity. The outcomes were domain-specific physical activity (work, transport and leisure) and sedentary behaviour, all of which were assessed using the Global Physical Activity Questionnaire. The associations were examined using zero-inflated negative binomial regressions for physical activity and linear regression for sedentary behaviour.ResultsThe median (Interquartile range) for work-related, transport-related and leisure-related physical activity were 0 (0 - 1440), 600 (160 - 1120) and 360 (0 - 1080) MET (metabolic equivalent)-minutes per week. The median sedentary behaviour (IQR) was 360 (240 - 540) minutes per day. The top three barriers were lack of time (65.3%), fatigue (64.7%) and pollution (56.1%). After adjustment, the level of transport-related physical activity was lower for respondents who cited lacking pavement or parks as a barrier, but higher for those who indicated cost and safety concerns. Respondents who reported pollution as a barrier were more likely to engage in transport-related physical activity. The level of leisure-related physical activity was lower for respondents indicating weather, lack of time and age as barriers, but higher for those reporting safety concerns. The odds of engaging in leisure-related physical activity was lower for those citing age, cost and fatigue as barriers, but higher for those indicating the weather. Sedentary behaviour was positively associated with work and limited accessibility to exercise facilities, but negatively with safety concerns.ConclusionIndividuals can be motivated to overcome internal barriers (fatigue, lack of time, cost and age) through social support and emphasis on exercise benefits. External barriers (weather and lack of pavements or parks) can be reduced by raising awareness of existing infrastructure. Sedentary behaviour can be improved by implementing workplace measures, such as reducing the time spent sitting.

Project description:ObjectivesTo compare levels of physical activity and sedentary time in a representative sample of US adolescents and adults with and without visual impairment.DesignCross-sectional analyses were carried out using data from the National Health and Nutrition Examination Survey.ParticipantsThe study population consisted of 6001 participants (adolescents n=1766, adults n=4235). The present analysis aggregated data from 2003 to 2004 and 2005-2006.MeasuresObjective physical activity and sedentary behaviour assessment was conducted over 7 days. Distance visual acuity was measured for each eye in all participants 12 years and older. Participants' vision was categorised as: normal vision, uncorrected refractive error, non-refractive visual impairment. We estimated the sex-specific linear associations between presenting vision and objectively measured physical activity and sedentary patterns using adjusted generalised linear models in adolescents and adults.Results and conclusionsAdolescents with uncorrected refractive error and non-refractive visual impairment did not accumulate higher levels of sedentary time or lower levels of moderate-to-vigorous physical activity (MVPA) compared with those with normal vision. We observed no association between vision status and accelerometer measured MVPA in adults aged 20-49 years. We observed more time spent sedentary among females 20-49 years old with non-refractive visual impairment compared with those presenting normal vision (mean difference 329.8 min/week, 95%?CI: 12.5 to 647.0). Adults 50 years and older with non-refractive visual impairment appeared to accumulate less lifestyle physical activity, particularly in women (mean difference -82.8 min/week, 95%?CI: -147.8 to -17.8). Adult women with non-refractive visual impairment have lower levels of lifestyle physical activity and higher levels of sedentary time than those with normal vision. Taken together, these findings highlight the need for interventions to promote physical activity and reduce sedentary time in adult populations with visual impairment, specifically adult women.

Project description:Lower levels of physical activity (PA) and sedentary behaviour (SB) have been associated with increased cardiometabolic risk among children. However, little is known about the independent and combined associations of PA and SB as well as different types of these behaviours with cardiometabolic risk in children. We therefore investigated these relationships among children.The subjects were a population sample of 468 children 6-8 years of age. PA and SB were assessed by a questionnaire administered by parents and validated by a monitor combining heart rate and accelerometry measurements. We assessed body fat percentage, waist circumference, blood glucose, serum insulin, plasma lipids and lipoproteins and blood pressure and calculated a cardiometabolic risk score using population-specific Z-scores and a formula waist circumference?+?insulin?+?glucose?+?triglycerides - HDL cholesterol?+?mean of systolic and diastolic blood pressure. We analysed data using multivariate linear regression models.Total PA was inversely associated with the cardiometabolic risk score (??=?-0.135, p?=?0.004), body fat percentage (??=?-0.155, p?<?0.001), insulin (??=?-0.099, p?=?0.034), triglycerides (??=?-0.166, p?<?0.001), VLDL triglycerides (??=?-0.230, p?<?0.001), VLDL cholesterol (??=?-0.168, p?=?0.001), LDL cholesterol (??=?-0.094, p?=?0.046) and HDL triglycerides (??=?-0.149, p?=?0.004) and directly related to HDL cholesterol (??=?0.144, p?=?0.002) adjusted for age and gender. Unstructured PA was inversely associated with the cardiometabolic risk score (??=?-0.123, p?=?0.010), body fat percentage (??=?-0.099, p?=?0.027), insulin (??=?-0.108, p?=?0.021), triglycerides (??=?-0.144, p?=?0.002), VLDL triglycerides (??=?-0.233, p?<?0.001) and VLDL cholesterol (??=?-0.199, p?<?0.001) and directly related to HDL cholesterol (??=?0.126, p?=?0.008). Watching TV and videos was directly related to the cardiometabolic risk score (??=?0.135, p?=?0.003), body fat percentage (??=?0.090, p?=?0.039), waist circumference (??=?0.097, p?=?0.033) and systolic blood pressure (??=?0.096, p?=?0.039). Resting was directly associated with the cardiometabolic risk score (??=?0.092, p?=?0.049), triglycerides (??=?0.131, p?=?0.005), VLDL triglycerides (??=?0.134, p?=?0.009), VLDL cholesterol (??=?0.147, p?=?0.004) and LDL cholesterol (??=?0.105, p?=?0.023). Other types of PA and SB had less consistent associations with cardiometabolic risk factors.The results of our study emphasise increasing total and unstructured PA and decreasing watching TV and videos and other sedentary behaviours to reduce cardiometabolic risk among children.ClinicalTrials.gov Identifier: NCT01803776.

Project description:BACKGROUND: Physical activity and sedentary behaviour among children should be measured accurately in order to investigate their relationship with health. Accelerometry provides objective and accurate measurement of body movement, which can be converted to meaningful behavioural outcomes. The aim of this study was to evaluate the best evidence for the decisions on data collection and data processing with accelerometers among children resulting in a standardized protocol for use in the participating countries. METHODS/DESIGN: This cross-sectional accelerometer study was conducted as part of the European ENERGY-project that aimed to produce an obesity prevention intervention among schoolchildren. Five countries, namely Belgium, Greece, Hungary, Switzerland and the Netherlands participated in the accelerometer study. We used three different Actigraph models--Actitrainers (triaxial), GT3Xs and GT1Ms. Children wore the device for six consecutive days including two weekend days. We selected an epoch length of 15 seconds. Accelerometers were placed at children's waist at the right side of the body in an elastic belt. In total, 1082 children participated in the study (mean age = 11.7 ± 0.75 y, 51% girls). Non-wearing time was calculated as periods of more than 20 minutes of consecutive zero counts. The minimum daily wearing time was set to 10 hours for weekdays and 8 hours for weekend days. The inclusion criterion for further analysis was having at least three valid weekdays and one valid weekend day. We selected a cut-point (count per minute (cpm)) of <100 cpm for sedentary behaviour, <3000 cpm for light, <5200 cpm for moderate, and >5200 cpm for vigorous physical activity. We also created time filters for school-time during data cleaning in order to explore school-time physical activity and sedentary behaviour patterns in particular. DISCUSSION: This paper describes the decisions for data collection and processing. Use of standardized protocols would ease future use of accelerometry and the comparability of results between studies.

Dataset Information

Sedentary behaviour and physical activity in bronchiectasis: a cross-sectional study.

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Sedentary behaviour and physical activity in bronchiectasis: a cross-sectional study.

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