scholarly journals Cardiorespiratory fitness is a stronger indicator of cardiometabolic risk factors and risk prediction than self-reported physical activity levels

2015 ◽  
Vol 12 (6) ◽  
pp. 428-435 ◽  
Author(s):  
Benjamin J Gray ◽  
Jeffrey W Stephens ◽  
Sally P Williams ◽  
Christine A Davies ◽  
Daniel Turner ◽  
...  
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Risk Prediction ◽  
Cardiorespiratory Fitness ◽  
Cardiometabolic Risk ◽  
Cardiometabolic Risk Factors ◽  
Activity Levels ◽  
Physical Activity Levels

scholarly journals Assessment of Cardiometabolic Risk Factors, Physical Activity Levels, and Quality of Life in Stratified Groups up to 10 Years after Bariatric Surgery

2019 ◽  
Vol 16 (11) ◽  
pp. 1975 ◽  
Author(s):  
Larissa Monteiro Costa Pereira ◽  
Felipe J. Aidar ◽  
Dihogo Gama de Matos ◽  
Jader Pereira de Farias Neto ◽  
Raphael Fabrício de Souza ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Physical Activity ◽  
Risk Factors ◽  
Physical Activity Level ◽  
Cardiometabolic Risk ◽  
Activity Level ◽  
Cardiometabolic Risk Factors ◽  
Activity Levels ◽  
Physical Activity Levels

Obesity is a highly prevalent chronic metabolic disease, with an increasing incidence, and is currently approaching epidemic proportions in developing countries. Ouraim was to evaluate the activity levels, quality of life (QoL), clinical parameters, laboratory parameters, and cardiometabolic risk factors afterbariatric surgery (BS). We classified78 patients who underwentBS into four groups, as follows: Those evaluated 1–2 years after BS (BS2), 2–4 years after BS (BS4), 4–6 years after BS (BS6), and 6–10 years after BS (BS+6). Body weight (BW), body mass index (BMI), comorbidities associated with obesity (ACRO), physical activity level, and QoL were evaluated. Patients exhibited improvements in BW, BMI, cardiometabolic risk, hypertension, dyslipidemia, and diabetes and significant changes in lipid profiles in the first postoperative yearafter BS.The physical activity level inthe BS2, BS4, and BS6 groups was increased, compared with that in the first postoperative year, with a decrease in International Physical Activity Questionnaire scores at 1 year in the BS2 (207.50 ± 30.79), BS4 (210.67 ± 33.69), and BS6 (220.00 ± 42.78) groups. The QoL of patients in theBS2 and BS4 groups was excellent and that of patients in the BS4 and BS+6 groupswas very good. These findings suggest that BS promoted improved physical activity levels and QoL and reduced comorbidities in patients with morbid obesity.

scholarly journals Comparison between recent and long-term physical activity levels as predictors of cardiometabolic risk: a cohort study

BMJ Open ◽  
2020 ◽  
Vol 10 (2) ◽  
pp. e033797 ◽  
Author(s):  
Tuija Leskinen ◽  
Sari Stenholm ◽  
Anna Pulakka ◽  
Jaana Pentti ◽  
Mika Kivimäki ◽  
...  
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Cohort Study ◽  
Cardiometabolic Risk ◽  
Multinomial Logistic Regression ◽  
Activity Level ◽  
Cardiometabolic Risk Factors ◽  
Activity Levels ◽  
Physical Activity Levels

ObjectiveTo compare recent and long-term physical activity levels as predictors of cardiometabolic risk in a risk factor-free adult population.DesignA 12-year prospective cohort study.SettingThe Finnish Public Sector study with surveys conducted in four waves at 4-year intervals.Participants19 230 participants (mean age 50.2 (SD 9.1) years, 84% women) with no prevalent cardiometabolic risk factors at wave 3 were included. Physical activity was assessed at waves 1, 2 and 3. The long-term physical activity level was determined as the mean of activity from wave 1 to 3 (over 8 years).Outcome measure4-year incidence of cardiometabolic risk factors (obesity, hypertension, dyslipidaemia and diabetes) after wave 3, measured individually and as a sum (accumulation of two or more risk factors vs none). Logistic and multinomial logistic regression analyses were used for the analysis.ResultsGraded associations between higher physical activity levels and lower odds of all risk factors were observed (p for trend <0.01). In comparison with the persistently vigorously active participants (≥60 metabolic equivalent (MET)-hours/week), those who were persistently inactive (<7 MET-hours/week) were about four times more likely to develop obesity (OR=4.24, 95% CI=2.83 to 6.36), two times more likely to develop hypertension (OR=2.02, 95% CI=1.45 to 2.82) and dyslipidaemia (OR=1.82, 95% CI=1.03 to 3.22) and eight times more likely to develop diabetes (OR=7.84, 95% CI=1.78 to 34.6). The corresponding OR for accumulating two or more risk factors was 5.24-fold (95% CI=2.39 to 11.47). For recently inactive versus recently vigorously active, the estimates were weaker (OR=2.36, 95% CI=1.71 to 3.25 for obesity; 1.78, 95% CI=1.35 to 2.35 for hypertension; 1.71, 95% CI=1.04 to 2.82 for dyslipidaemia; 3.56, 95% CI=1.06 to 11.96 for diabetes and 2.66, 95% CI=1.48 to 4.78 for ≥2 risk factors).ConclusionCardiometabolic risk associated with physical inactivity is better captured by repeated measurements of physical activity than by a single measurement of the most recent activity level.

Does cardiorespiratory fitness moderate the prospective association between physical activity and cardiometabolic risk factors in children?

2018 ◽  
Vol 42 (5) ◽  
pp. 1029-1038 ◽  
Author(s):  
Turid Skrede ◽  
Eivind Aadland ◽  
Lars Bo Andersen ◽  
Mette Stavnsbo ◽  
Sigmund Alfred Anderssen ◽  
...  
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Cardiorespiratory Fitness ◽  
Cardiometabolic Risk ◽  
Cardiometabolic Risk Factors ◽  
Prospective Association

scholarly journals Innovation through Wearable Sensors to Collect Real-Life Data among Pediatric Patients with Cardiometabolic Risk Factors

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Kestens Yan ◽  
Barnett Tracie ◽  
Mathieu Marie-Ève ◽  
Henderson Mélanie ◽  
Bigras Jean-Luc ◽  
...  
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Heart Rate ◽  
Cardiometabolic Risk ◽  
Wearable Sensors ◽  
Real Life ◽  
Cardiometabolic Risk Factors ◽  
University Hospital ◽  
Activity Levels ◽  
Accelerometer Data

Background. While increasing evidence links environments to health behavior, clinicians lack information about patients’ physical activity levels and lifestyle environments. We present mobile health tools to collect and use spatio-behavioural lifestyle data for personalized physical activity plans in clinical settings.Methods. The Dyn@mo lifestyle intervention was developed at the Sainte-Justine University Hospital Center to promote physical activity and reduce sedentary time among children with cardiometabolic risk factors. Mobility, physical activity, and heart rate were measured in free-living environments during seven days. Algorithms processed data to generate spatio-behavioural indicators that fed a web-based interactive mapping application for personalised counseling. Proof of concept and tools are presented using data collected among the first 37 participants recruited in 2011.Results. Valid accelerometer data was available for 5.6 (SD=1.62) days in average, heart rate data for 6.5 days, and GPS data was available for 6.1 (2.1) days. Spatio-behavioural indicators were shared between patients, parents, and practitioners to support counseling.Conclusion. Use of wearable sensors along with data treatment algorithms and visualisation tools allow to better measure and describe real-life environments, mobility, physical activity, and physiological responses. Increased specificity in lifestyle interventions opens new avenues for remote patient monitoring and intervention.

scholarly journals Poor physical activity levels and cardiorespiratory fitness among patients with childhood-onset takayasu arteritis in remission: a cross‐sectional, multicenter study

2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Camilla Astley ◽  
Saulo Gil ◽  
Gleice Clemente ◽  
Maria Teresa Terreri ◽  
Clovis Artur Silva ◽  
...  
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Cardiorespiratory Fitness ◽  
Aerobic Capacity ◽  
Physical Inactivity ◽  
Activity Levels ◽  
Healthy Controls ◽  
Childhood Onset ◽  
Chronotropic Response ◽  
Physical Activity Levels

Abstract Background It is currently unknown whether patients with childhood-onset Takayasu disease (c-TA) are prone to physical inactivity and poor aerobic capacity. In this study, we assessed physical activity levels and cardiorespiratory fitness along with health-related quality of life (HRQL) and various traditional and non-traditional risk factors in patients with c-TA vs. healthy controls. Methods c-TA patients with non-active disease (n = 17) and age- and sex-matched healthy controls (n = 17) were enrolled in the study. We assessed physical activity levels, aerobic capacity, body composition, systemic inflammation, cardiometabolic markers, disease-related parameters, and HRQL. Results c-TA patients showed greater time spent in sedentary behavior (P = 0.010), and lower moderate-to-vigorous physical activity (P > 0.001) and lower step counts per day (P > 0.001). VO2peak (P < 0.001) and chronotropic response (P = 0.016) were significantly lower in patients with c-TA and they had worse HRQL in physical domain (P < 0.001), lower bone mineral content and density, and higher insulin levels vs. healthy controls (all P ≤ 0.05). Conclusions c-TA patients exhibited reduced physical activity levels and aerobic capacity, worse cardiometabolic risk factors and HRQL parameter compared with healthy peers. Physical inactivity and aerobic deconditioning emerge as potentially novel risk factors for c-TA. The role of physical activity interventions in preventing poor outcomes and improving HRQL in c-TA remains to be explored.

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