scholarly journals Accelerometry Assessed Physical Activity of Older Adults Hospitalized with Acute Medical Illness - an Observational Study

2020 ◽  
Author(s):  
Plamena Tasheva ◽  
Vanessa Kraege ◽  
Peter Vollenweider ◽  
Guillaume Roulet ◽  
Marie Méan ◽  
...  
Keyword(s):  
Physical Activity ◽  
Observational Study ◽  
Hospital Stay ◽  
Barthel Index ◽  
Older Patients ◽  
Medical Illness ◽  
Barthel Index Score ◽  
Physically Active ◽  
Walking Aids ◽  
Active Patients

Abstract Background: In a hospital setting and among older patients, inactivity and bedrest are associated with a wide range of negative outcomes such as functional decline, increased risk of falls, longer hospitalization and institutionalization. Our aim was to assess the distribution, determinants and predictors of physical activity (PA) levels using wrist-worn accelerometers in older patients hospitalized with acute medical illness.Methods: Observational study conducted from February to November 2018 at an acute internal medicine unit in the University hospital of Lausanne, Switzerland. We enrolled 177 patients aged ≥65 years, able to walk prior to admission. PA during acute hospital stay was continuously recorded via a 3D wrist accelerometer. Clinical data was collected from medical records or by interview. Autonomy level prior to inclusion was assessed using Barthel Index score. PA levels were defined as <30 mg for inactivity, 30-99 mg for light and ≥100 for moderate PA. Physically active patients were defined as 1) being in the highest quartile of time spent in light and moderate PA or 2) spending ≥20 minutes/day in moderate PA.Results: Median [interquartile range - IQR] age was 83 [74-87] years and 60% of participants were male. The median [IQR] time spent inactive and in light PA was 613 [518-663] and 63 [30-97] minutes/day, respectively. PA peaked between 8 and 10 am, at 12 am and at 6 pm. Less than 10% of patients were considered physically active according to definition 2. For both definitions, active patients had a lower prevalence of walking aids and a lower dependency level according to Barthel Index score. For definition 1, use of medical equipment was associated with a 70% reduction in the likelihood of being active: odds ratio (OR) 0.30 [0.10-0.92] p=0.034; for definition 2, use of walking aids was associated with a 75% reduction in the likelihood of being active: OR=0.24 [0.06-0.89], p=0.032.Conclusion: Older hospitalized patients are physically active only 10% of daily time and concentrate their PA around eating periods. Whether a Barthel Index below 95 prior to admission may be used to identify patients at risk of inactivity during hospital stay remains to be proven.

scholarly journals Accelerometry assessed physical activity of older adults hospitalized with acute medical illness - an observational study

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Plamena Tasheva ◽  
Vanessa Kraege ◽  
Peter Vollenweider ◽  
Guillaume Roulet ◽  
Marie Méan ◽  
...  
Keyword(s):  
Physical Activity ◽  
Observational Study ◽  
Hospital Stay ◽  
Barthel Index ◽  
Older Patients ◽  
Medical Illness ◽  
Barthel Index Score ◽  
Physically Active ◽  
Walking Aids ◽  
Active Patients

Abstract Background In a hospital setting and among older patients, inactivity and bedrest are associated with a wide range of negative outcomes such as functional decline, increased risk of falls, longer hospitalization and institutionalization. Our aim was to assess the distribution, determinants and predictors of physical activity (PA) levels using wrist-worn accelerometers in older patients hospitalized with acute medical illness. Methods Observational study conducted from February to November 2018 at an acute internal medicine unit in the University hospital of Lausanne, Switzerland. We enrolled 177 patients aged ≥65 years, able to walk prior to admission. PA during acute hospital stay was continuously recorded via a 3D wrist accelerometer. Clinical data was collected from medical records or by interview. Autonomy level prior to inclusion was assessed using Barthel Index score. PA levels were defined as < 30 mg for inactivity, 30–99 mg for light and ≥ 100 for moderate PA. Physically active patients were defined as 1) being in the highest quartile of time spent in light and moderate PA or 2) spending ≥20 min/day in moderate PA. Results Median [interquartile range - IQR] age was 83 [74–87] years and 60% of participants were male. The median [IQR] time spent inactive and in light PA was 613 [518–663] and 63 [30–97] minutes/day, respectively. PA peaked between 8 and 10 am, at 12 am and at 6 pm. Less than 10% of patients were considered physically active according to definition 2. For both definitions, active patients had a lower prevalence of walking aids and a lower dependency level according to Barthel Index score. For definition 1, use of medical equipment was associated with a 70% reduction in the likelihood of being active: odds ratio (OR) 0.30 [0.10–0.92] p = 0.034; for definition 2, use of walking aids was associated with a 75% reduction in the likelihood of being active: OR = 0.24 [0.06–0.89], p = 0.032. Conclusion Older hospitalized patients are physically active only 10% of daily time and concentrate their PA around eating periods. Whether a Barthel Index below 95 prior to admission may be used to identify patients at risk of inactivity during hospital stay remains to be proven.

scholarly journals Accelerometry Assessed Physical Activity of Older Adults Hospitalized with Acute Medical Illness - an Observational Study

2020 ◽  
Author(s):  
Plamena Tasheva ◽  
Vanessa Kraege ◽  
Peter Vollenweider ◽  
Guillaume Roulet ◽  
Marie Méan ◽  
...  
Keyword(s):  
Physical Activity ◽  
Observational Study ◽  
Hospital Stay ◽  
Barthel Index ◽  
Older Patients ◽  
Medical Illness ◽  
Barthel Index Score ◽  
Physically Active ◽  
Walking Aids ◽  
Active Patients

Abstract Background: In a hospital setting and among older patients, inactivity and bedrest are associated with a wide range of negative outcomes such as functional decline, increased risk of falls, longer hospitalization and institutionalization. Our aim was to assess the distribution, determinants and predictors of physical activity (PA) levels using wrist-worn accelerometers in older patients hospitalized with acute medical illness.Methods: Observational study conducted from February to November 2018 at an acute internal medicine unit in the University hospital of Lausanne, Switzerland. We enrolled 177 patients aged ≥65 years, able to walk prior to admission. PA during acute hospital stay was continuously recorded via a 3D wrist accelerometer. Clinical data was collected from medical records or by interview. Autonomy level prior to inclusion was assessed using Barthel Index score. PA levels were defined as <30 mg for inactivity, 30-99 mg for light and ≥100 for moderate PA. Physically active patients were defined as 1) being in the highest quartile of time spent in light and moderate PA or 2) spending ≥20 minutes/day in moderate PA.Results: Median [interquartile range - IQR] age was 83 [74-87] years and 60% of participants were male. The median [IQR] time spent inactive and in light PA was 613 [518-663] and 63 [30-97] minutes/day, respectively. PA peaked between 8 and 10 am, at 12 am and at 6 pm. Less than 10% of patients were considered physically active according to definition 2. For both definitions, active patients had a lower prevalence of walking aids and a lower dependency level according to Barthel Index score. For definition 1, use of medical equipment was associated with a 70% reduction in the likelihood of being active: odds ratio (OR) 0.30 [0.10-0.92] p=0.034; for definition 2, use of walking aids was associated with a 75% reduction in the likelihood of being active: OR=0.24 [0.06-0.89], p=0.032.Conclusion: Older hospitalized patients are physically active only 10% of daily time and concentrate their PA around eating periods. Whether a Barthel Index below 95 prior to admission may be used to identify patients at risk of inactivity during hospital stay remains to be proven.

scholarly journals Accelerometry Assessed Physical Activity of Older Adults Hospitalized with Acute Medical Illness - an Observational Study

2020 ◽  
Author(s):  
Plamena Tasheva ◽  
Vanessa Kraege ◽  
Peter Vollenweider ◽  
Guillaume Roulet ◽  
Marie Méan ◽  
...  
Keyword(s):  
Physical Activity ◽  
Observational Study ◽  
Hospital Stay ◽  
Barthel Index ◽  
Older Patients ◽  
Medical Illness ◽  
Barthel Index Score ◽  
Physically Active ◽  
Walking Aids ◽  
Active Patients

Abstract Background: In a hospital setting and among older patients, inactivity and bedrest are associated with a wide range of negative outcomes such as functional decline, increased risk of falls, longer hospitalization and institutionalization. Our aim was to assess the distribution, determinants and predictors of physical activity (PA) levels using wrist-worn accelerometers in older patients hospitalized with acute medical illness.Methods: Observational study conducted from February to November 2018 at an acute internal medicine unit in the University hospital of Lausanne, Switzerland. We enrolled 177 patients aged ≥65 years, able to walk prior to admission. PA during acute hospital stay was continuously recorded via a 3D wrist accelerometer. Clinical data was collected from medical records or by interview. Autonomy level prior to inclusion was assessed using Barthel Index score. PA levels were defined as <30 mg for inactivity, 30-99 mg for light and ≥100 for moderate PA. Physically active patients were defined as 1) being in the highest quartile of time spent in light and moderate PA or 2) spending ≥20 minutes/day in moderate PA.Results: Median [interquartile range - IQR] age was 83 [74-87] years and 60% of participants were male. The median [IQR] time spent inactive and in light PA was 613 [518-663] and 63 [30-97] minutes/day, respectively. PA peaked between 8 and 10 am, at 12 am and at 6 pm. Less than 10% of patients were considered physically active according to definition 2. For both definitions, active patients had a lower prevalence of walking aids and a lower dependency level according to Barthel Index score. For definition 1, use of medical equipment was associated with a 70% reduction in the likelihood of being active: odds ratio (OR) 0.30 [0.10-0.92] p=0.034; for definition 2, use of walking aids was associated with a 75% reduction in the likelihood of being active: OR=0.24 [0.06-0.89], p=0.032.Conclusion: Older hospitalized patients are physically active only 10% of daily time and concentrate their PA around eating periods. Whether a Barthel Index below 95 prior to admission may be used to identify patients at risk of inactivity during hospital stay remains to be proven.

scholarly journals Accelerometry Assessed Physical Activity of Elderly Adults Hospitalized with Acute Medical Illness - an Observational Study

2019 ◽  
Author(s):  
Plamena Tasheva ◽  
Vanessa Kraege ◽  
Peter Vollenweider ◽  
Guillaume Roulet ◽  
Marie Méan ◽  
...  
Keyword(s):  
Physical Activity ◽  
Observational Study ◽  
Barthel Index ◽  
Hospital Setting ◽  
Stepwise Logistic Regression ◽  
Medical Illness ◽  
Elderly Adults ◽  
Physically Active ◽  
Increased Risk ◽  
Wide Range

Abstract Background: In a hospital setting and among elderly patients, inactivity and bedrest are associated with a wide range of negative outcomes such as functional decline, increased risk of falls, longer hospitalization and new institutionalization. Our aim was to assess the distribution and determinants of physical activity (PA) levels using wrist-worn accelerometers in elderly adults hospitalized with acute medical illness. Methods: Observational study conducted from February to November 2018 at an acute internal medicine unit in the University hospital of Lausanne, Switzerland. We enrolled 177 patients aged ≥65 years, able to walk independently prior to admission. PA during acute hospital stay was continuously recorded via a 3D wrist accelerometer. As previously suggested, PA was defined as an acceleration ≥12 mg. Clinical data was collected from medical records or by interview. Autonomy level prior to inclusion was assessed using Barthel Index score. Results: Median [interquartile range - IQR] age was 83 [74-87] years and 60% of participants were male. The median [IQR] time spent inactive and in PA was 485 [404-563] and 177 [114-255] minutes/day, respectively. PA was distributed into three peak periods during the day: between 8 and 10 am, at 12 am and at 6 pm. Approximately 50% of patients were considered physically active. Stepwise logistic regression identified Barthel index [odds ratio and (95% confidence interval) for increase in category [1.85 (1.09-3.14)], prescription of sedatives [0.31 (0.12-0.80)] and prescription of physiotherapy [2.16 (1.08-4.58)] as significantly and independently associated with inactivity. Conclusion: Elderly hospitalized patients are physically active only one quarter of the day and concentrate their PA around eating periods. A Barthel Index below 91 could be used to identify patients at risk of physical inactivity.

Abstract P234: Associations of Clinical Characteristics and Health-related Behaviors With Physical Activity Levels in Stage B Heart Failure Patients

Circulation ◽  
2020 ◽  
Vol 141 (Suppl_1) ◽  
Author(s):  
Maira Tristao Parra ◽  
Meredith A Pung ◽  
Kathleen Wilson ◽  
Christopher Pruitt ◽  
Barry H Greenberg ◽  
...  
Keyword(s):  
Physical Activity ◽  
Heart Failure ◽  
Clinical Characteristics ◽  
Well Being ◽  
Physically Active ◽  
Heart Failure Patients ◽  
Health Related Behaviors ◽  
Health Related ◽  
Active Patients

Hypothesis: insufficiently active heart failure patients will report poorer QoL, more fatigue and depressive mood compared to active patients. Aims: To characterize clinical characteristics and health-related behaviors according to physical activity (PA). Also, to explore predicting factors of quality of life (QoL). Methods: Cross-sectional analysis of a cohort of Stage B HF patients. PA classification was set as active, moderately active or insufficiently active, according to the LTEQ questionnaire. For QoL, the SF-36 questionnaire was used. ANOVAS, Chi-Square tests or likelihood ratios and unadjusted multiple regression models were calculated. Significance was set at p ≤ 0.05. Results: In this cohort, 277 HF patients completed the PA questionnaire. The prevalence of active patients was higher than moderately active and insufficiently active (53.3% vs 15.2% and 29.6%), respectively. Younger age (p = 0.044), lower waist circumference (WC) (p = 0.002), and lower waist-to-hip ratio (p = 0.046) were associated with being active. The prevalence of Type II diabetes mellitus (T2DM) in the active groups was significantly lower (p = 0.001). Physically active groups had cases of mild LV enlargement (1.4% and 7.5%, respectively), while no cases were observed among insufficiently active patients (p = 0.017). PA was positively associated with less fatigue (p= 0.002), more vigor (p = 0.001), more self-efficacy (p < 0.001), and better quality of life (p = 0.002). Patients who were less physically active had more inflammation (CRP, p = 0.015; IL-6, p <0.001; TNF-α: p = 0.033, and IL-1ra, p = 0.001). WC (β =-0.16, p = 0.008), glucose (β =-0.12, p < 0.001) and fatigue (β = - 0.39, p < 0.001) predicted general health perception (R 2 = 0.449). For physical functioning (high scores reflects performing PA without limitations due to health), WC (β = - 0.28, p = 0.001), sleep (β = - 1.50, p = 0.003) and fatigue (β = - 0.32, p = 0.018) were significant predictors (R 2 = 0.422); while age (β = 0.36, p <0.001) physical activity (β = 0.051, p = 0.055), sleep (β = 0.50, p =0.046), fatigue (β = -0.37, p <0.001) and depression (β = -1.12, p <0.001) predicted emotional well-being (R 2 = 0.696). Conclusion: Physically active heart failure patients had a better anthropometric profile and lower prevalence of T2DM. In this cohort, PA was not a significant predictor for general and physical functioning, but it remained relevant for predicting emotional well-being.

scholarly journals The effect of BMI and physical activity levels on the duration of symptomatic days with Covid-19 infection

2020 ◽  
Author(s):  
Boukhemis Boukelia ◽  
Abdulazeem S S Alataibi
Keyword(s):  
Physical Activity ◽  
Recovery Time ◽  
Anthropometric Measurement ◽  
Activity Levels ◽  
Physically Active ◽  
Fitness Level ◽  
Significant Difference ◽  
Recovery Times ◽  
Activity Requirement ◽  
Active Patients

Regular exercise is known to boost immunity, increase immune response to fight infection, as well as speeding up recovery times and healing processes. This study seeks to assess if exercising regularly pre- SARS-CoV-2 (COVID-19) and/or BMI status has an effect on recovery time. A total of 215 people infected with COVD-19 from the Kingdom of Saudi Arabia took part in this study (age 36 years, mass 72 kg, stature 166 cm). Only 10 patients were physically active and fulfil WHO physical activity requirement (Age 30 years, Mass 77 kg, Stature 176 cm). There was a significant difference in recovery time between active and inactive patients (P=0.00) with active patients recovery 2.7 times faster than inactive patients. Active patients showed a lower BMI level (p=0.043). Anthropometric measurement characteristics and the fitness level could be used in decision making scenarios for the estimation of the risk of complications in patients with COVID-19.

scholarly journals Functional Changes during Hospital Stay in Older Patients Admitted to an Acute Care Ward: A Multicenter Observational Study

PLoS ONE ◽  
2014 ◽  
Vol 9 (5) ◽  
pp. e96398 ◽  
Author(s):  
Stefanie L. De Buyser ◽  
Mirko Petrovic ◽  
Youri E. Taes ◽  
Davide L. Vetrano ◽  
Andrea Corsonello ◽  
...  
Keyword(s):  
Observational Study ◽  
Hospital Stay ◽  
Acute Care ◽  
Older Patients ◽  
Multicenter Observational Study ◽  
Functional Changes ◽  
Care Ward

scholarly journals Tossing and turning: association of sleep quantity–quality with physical activity in COPD

2020 ◽  
Vol 6 (4) ◽  
pp. 00370-2020
Author(s):  
Raquel Pastrello Hirata ◽  
Daniele Caroline Dala Pola ◽  
Lorena Paltanin Schneider ◽  
Mariana Pereira Bertoche ◽  
Karina Couto Furlanetto ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sedentary Behaviour ◽  
Sleep Onset ◽  
Physically Active ◽  
Walking Test ◽  
Sleep Quantity ◽  
Time In Bed ◽  
Vigorous Intensity ◽  
Active Patients ◽  
Physically Inactive

The association between characteristics of sleep and physical activity in daily life (PADL) has not yet been investigated in depth in subjects with COPD. This study evaluated whether time spent per day in physical activity (PA) and sedentary behaviour are associated with sleep quantity and quality in this population.Sleep and PADL were objectively assessed by an activity monitor for 7 days and analysed on a minute-by-minute basis. Subjects also underwent spirometry and 6-min walking test (6MWT).Fifty-five subjects with moderate-to-severe COPD (28 male, 67±8 years) were studied. Subjects with total time in bed (TIB) per night ≥9 h had higher wake-after-sleep onset than TIB 7–9 h and TIB ≤7 h (195 (147–218) versus 117 (75–167) and 106 (84–156) min) and more fragmented sleep than TIB ≤7 h (8.2 (6.7–14.3) versus 6.3 (5.6–6.9) sleeping bouts; p<0.05 for all). Subjects with TIB ≥9 h also spent more time per day in sedentary behaviour and less time per day in PA of light and moderate-to-vigorous intensity than those with TIB 7–9 h and ≤7 h. In multiple linear regression, TIB ≥9 h was the only significant predictor of physical inactivity (β=−3.3 (−5.1, −1.6), p≤0.0001), accounting for 20% of its variation. Sleep fragmentation was frequent and more pronounced in physically inactive than active patients (7.5 (6.3–9.6) versus 6.4 (5.5–7.3) sleeping bouts; p=0.027).In summary, subjects with COPD with TIB ≥9 h·night−1 have more fragmented sleep, are more sedentary and less physically active than those with <9 h·night−1, independently of the awake time. Sleep quality is frequently poor and even worse in patients classified as physically inactive.

scholarly journals IMPACT OF PHYSICAL ACTIVITY ON FATIGUE AND QUALITY OF LIFE OF CANCER PATIENTS

2020 ◽  
Vol 26 (6) ◽  
pp. 498-502
Author(s):  
Antonio Filipe Pereira Caetano ◽  
Diego Augusto Santos Silva ◽  
Priscila Custódio Martins ◽  
José Jean de Oliveira Toscano
Keyword(s):  
Quality Of Life ◽  
Physical Activity ◽  
Cancer Patients ◽  
University Hospital ◽  
Level Of Evidence ◽  
Cross Sectional ◽  
Physically Active ◽  
Active Patients ◽  
Physically Inactive

ABSTRACT Introduction: Physical exercise has been considered an important non-pharmacological treatment for reducing tiredness, pain, low self-esteem and increases in body mass in individuals diagnosed with cancer. Objective: To verify the relationship between fatigue, quality of life and levels of physical activity in cancer patients undergoing chemotherapy. Methods: Observational, cross-sectional study. The sample consisted of 85 adult patients undergoing cancer treatment at a university hospital. Physical activity was assessed by the IPAQ, and fatigue and quality of life by the PFS and EORTC QLQ-C30 questionnaires, respectively. Student's t and the Fisher's Exact tests were used to identify differences between active and physically inactive patients for the variables fatigue and quality. Additionally, covariance analysis (ANCOVA) was used, in which simple (outcome and exposure) and adjusted models (age, time of diagnosis and type of cancer) were tested. Results: The study included 85 cancer patients, with a mean of 51.78 years of age (±11.72). Most were female and not physically active. Patients classified as physically inactive had higher scores for “total fatigue” (p=0.01), “behavioral” (p=0.01), “affective” (p=0.02) and psychological/sensory fatigue (p=0.04), compared to the physically active patients (p=0.01). Patients classified as physically not very active presented poorer quality of life in the dimensions: “overall” quality of life (p=0.05) and “functional” (p=0.04), “appetite” (p=0.02), “insomnia” (p=0.0 2), “diarrhea” (p=0.04), “fatigue” (p=0.01), “pain” (p=0.01) and “nausea” (p=0.03), when compared to the physically active patients in both analyses; simple and adjusted. Conclusion: The practice of physical activity during treatment can be a determining factor for increasing quality of life and reducing fatigue in cancer patients, minimizing the adverse effects of chemotherapy. Level of evidence II; retrospective study.

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