Very Low Levels of Physical Activity in Older Patients During Hospitalization at an Acute Geriatric Ward: A Prospective Cohort Study

Lack of activity during hospitalization may contribute to functional decline. The purpose of this study was to investigate (1) the time spent walking during hospitalization by geriatric patients referred to physical and/or occupational therapy and (2) the development in time spent walking during hospitalization. In this observational study, 24-hr accelerometer data (ActivPal) were collected from inclusion to discharge in 124 patients at an acute geriatric ward. The median time spent walking was 7 min per day. During the first quartile of hospitalization, the patients spent 4 (IQR:1;11) min per day walking, increasing to 10 (IQR:1;29) min during the last quartile. Improvement in time spent walking was primarily observed in the group able to perform the Timed Up & Go task at admission. When walking only 7 min per day, patients could be classified as inactive and at risk for functional decline; nonetheless, the physical activity level increased significantly during hospitalization.

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Impact of accelerometer data processing decisions on the sample size, wear time and physical activity level of a large cohort study

BMC Public Health ◽

10.1186/1471-2458-14-1210 ◽

2014 ◽

Vol 14 (1) ◽

Cited By ~ 68

Author(s):

Sarah Kozey Keadle ◽

Eric J Shiroma ◽

Patty S Freedson ◽

I-Min Lee

Keyword(s):

Physical Activity ◽

Cohort Study ◽

Data Processing ◽

Sample Size ◽

Physical Activity Level ◽

Large Cohort ◽

Activity Level ◽

Accelerometer Data ◽

Wear Time ◽

Large Cohort Study

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Middle-Aged Men With HIV Have Diminished Accelerometry-Based Activity Profiles Despite Similar Lab-Measured Gait Speed: Pilot Study (Preprint)

10.2196/preprints.11190 ◽

2018 ◽

Author(s):

Timothy M Hale ◽

Viola Guardigni ◽

Eva Roitmann ◽

Matthieu Vegreville ◽

Brooke Brawley ◽

...

Keyword(s):

Cohort Study ◽

Pilot Study ◽

T Cell Activation ◽

Gait Speed ◽

Functional Decline ◽

Activity Level ◽

Accelerometer Data ◽

Middle Aged ◽

Free Living ◽

Increased Risk

BACKGROUND People aging with HIV are living with increased risk for functional decline compared with uninfected adults of the same age. Early preclinical changes in biomarkers in middle-aged individuals at risk for mobility and functional decline are needed. OBJECTIVE This pilot study aims to compare measures of free-living activity with lab-based measures. In addition, we aim to examine differences in the activity level and patterns by HIV status. METHODS Forty-six men (23 HIV+, 23 HIV−) currently in the MATCH (Muscle and Aging Treated Chronic HIV) cohort study wore a consumer-grade wristband accelerometer continuously for 3 weeks. We used free-living activity to calculate the gait speed and time spent at different activity intensities. Accelerometer data were compared with lab-based gait speed using the 6-minute walk test (6-MWT). Plasma biomarkers were measured and biobehavioral questionnaires were administered. RESULTS HIV+ men more often lived alone (P=.02), reported more pain (P=.02), and fatigue (P=.048). In addition, HIV+ men had lower blood CD4/CD8 ratios (P<.001) and higher Veterans Aging Cohort Study Index scores (P=.04) and T-cell activation (P<.001) but did not differ in levels of inflammation (P=.30) or testosterone (P=.83). For all participants, accelerometer-based gait speed was significantly lower than the lab-based 6-MWT gait speed (P<.001). Moreover, accelerometer-based gait speed was significantly lower in HIV+ participants (P=.04) despite the absence of differences in the lab-based 6-MWT (P=.39). HIV+ participants spent more time in the lowest quartile of activity compared with uninfected (P=.01), who spent more time in the middle quartiles of activity (P=.02). CONCLUSIONS Accelerometer-based assessment of gait speed and activity patterns are lower for asymptomatic men living with HIV compared with uninfected controls and may be useful as preclinical digital biomarkers that precede differences captured in lab-based measures.

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Does baseline leisure-time physical activity level predict future depressive symptoms or physical activity among depressive patients? Findings from a Finnish five-year cohort study

Nordic Journal of Psychiatry ◽

10.1080/08039488.2020.1862296 ◽

2020 ◽

pp. 1-10

Author(s):

Ilkka Raatikainen ◽

Pekka Mäntyselkä ◽

Ari Heinonen ◽

Mauno Vanhala ◽

Hannu Kautiainen ◽

...

Keyword(s):

Physical Activity ◽

Cohort Study ◽

Depressive Symptoms ◽

Physical Activity Level ◽

Leisure Time ◽

Leisure Time Physical Activity ◽

Activity Level ◽

Depressive Patients

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Predictors of physical activity in older adults early in an emergency hospital admission: a prospective cohort study

10.21203/rs.2.22581/v3 ◽

2020 ◽

Author(s):

Peter Hartley ◽

Amanda L Dewitt ◽

Faye Forsyth ◽

Roman Romero-Ortuno ◽

Christi Deaton

Keyword(s):

Physical Activity ◽

Older Adults ◽

Cohort Study ◽

Hospital Admission ◽

Illness Severity ◽

Acute Illness ◽

Functional Mobility ◽

Early Warning Score ◽

Accelerometer Data ◽

Optimal Model

Abstract Background: Reduced mobility may be responsible for functional decline and acute sarcopenia in older hospitalised patients. The drivers of reduced in-hospital mobility are poorly understood, especially during the early phase of acute hospitalisation. We investigated predictors of in-hospital activity during a 24-hour period in the first 48 hours of hospital admission in older adults. Methods: This was a secondary analysis of a prospective repeated measures cohort study. Participants aged 75 years or older were recruited within the first 24 hours of admission. At recruitment, patients underwent a baseline assessment including measurements of pre-morbid functional mobility, cognition, frailty, falls efficacy, co-morbidity, acute illness severity, knee extension strength and grip strength, and consented to wear accelerometers to measure physical activity during the first 7 days (or until discharge if earlier). In-hospital physical activity was defined as the amount of upright time (standing or walking). To examine the predictors of physical activity, we limited the analysis to the first 24 hours of recording to maximise the sample size as due to discharge from hospital there was daily attrition. We used a best subset analysis including all baseline measures. The optimal model was defined by having the lowest Bayesian information criterion in the best-subset analyses. The model specified a maximum of 5 covariates and used an exhaustive search.Results: Seventy participants were recruited but eight were excluded from the final analysis due to lack of accelerometer data within the first 24 hours after recruitment. Patients spent a median of 0.50 hours (IQR: 0.21; 1.43) standing or walking. The optimal model selected the following covariates: functional mobility as measured by the de Morton Mobility Index and two measures of illness severity, the National Early Warning Score, and serum C-reactive protein.Conclusions: Physical activity, particularly in the acute phase of hospitalisation, is very low in older adults. The association between illness severity and physical activity may be explained by symptoms of acute illness being barriers to activity. Interdisciplinary approaches are required to identify early mobilisation opportunities.

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Food consumption, physical activity level and sedentary behavior in schoolchildren

Brazilian Journal of Kinanthropometry and Human Performance ◽

10.1590/1980-0037.2020v22e73478 ◽

2020 ◽

Vol 22 ◽

Author(s):

Alex Pinheiro Gordia ◽

Jadiane Aparecida Tiago Dall’Agnol ◽

Edmar Lacerda Mendes ◽

Amanda Santos ◽

Camilo Luis Monteiro Lourenço ◽

...

Keyword(s):

Physical Activity ◽

Dietary Intake ◽

Sedentary Behavior ◽

Risk Behaviors ◽

Fruits And Vegetables ◽

Pediatric Population ◽

Activity Level ◽

Public And Private ◽

Low Levels ◽

Milk And Dairy Products

Abstract Dietary intake inquiry, physical activity (PA) and sedentary behavior (SB) surveys are practical tools for identifying habits among the pediatric population; however, the results of describing these behaviors appear to be restricted to large centers. The objective was to analyze dietary intake, PA and SB level in schoolchildren. Children from 6 to 10 years old, coming from public and private schools were evaluated for anthropometry, dietary pattern, PA and SB level. A total of 1408 children (48.1% male) with a mean age of 8.05 (± 1.53) years participated in the study. Only 4.6%, 4.9% and 17.2% of children met the recommendations for fruit, milk and dairy products, respectively. 40.4% and 59.5% of the children did not meet the recommendation for soft drinks and meat consumption, respectively. More than 75% of children met the recommendation for the consumption of packaged snacks, candies and beans. There was a difference between genders only for candy consumption (p=0.003), with a higher proportion of boys meeting the recommendations. Approximately half and one third of the children complied with the recommendations for moderate to vigorous PA and SB, respectively. Risk behaviors for cardiovascular disease were observed in children, characterized by low consumption of fruits and vegetables, low levels of PA and excessive time in SB.

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ASSOCIATION BETWEEN WALKING ENERGETICS AND FRAGMENTED PHYSICAL ACTIVITY IN MID-TO-LATE LIFE

Innovation in Aging ◽

10.1093/geroni/igz038.3175 ◽

2019 ◽

Vol 3 (Supplement_1) ◽

pp. S865-S865

Author(s):

Fangyu Liu ◽

Amal A Wanigatunga ◽

Pei-Lun Kuo ◽

Vadim Zipunnikov ◽

Eleanor M Simonsick ◽

...

Keyword(s):

Physical Activity ◽

Transition Probability ◽

Functional Decline ◽

Average Energy ◽

Energetic Cost ◽

Energy Regulation ◽

Accelerometer Data ◽

Linear Regression Models ◽

Capacity Ratio ◽

Walking Efficiency

Abstract Physical activity becomes increasingly fragmented with age, and may be an early marker of functional decline. Energy regulation has been linked with functional decline, yet whether the energy needed for walking, a common type of physical activity, is related to fragmentation of physical activity remains unknown. The study population included 493 participants aged 50-93 years from the Baltimore Longitudinal Study of Aging. Energetic measures included the energetic cost of usual-paced overground walking (ml/kg/m), the average energy expended (ml/kg/min) during a rapid-paced 400-m walk, and a cost-to-capacity ratio between the energy expended during 5-min treadmill walk (0.67 m/s, 0% grade) and the energy expended during the 400-m walk. Activity fragmentation was extracted from accelerometer data collected over ≥3 valid days and quantified via an active-to-sedentary transition probability (ASTP). Associations between the energetic measures and ASTP were assessed using multivariate linear regression models. Interactions between energetics and total daily physical activity, quantified as total log-transformed activity counts (TLAC), were also assessed. After adjusting for TLAC, demographics, body composition and comorbidity, higher cost-to-capacity ratio was associated with 3.51% greater fragmented physical activity (p=0.005). Energetics by TLAC interactions revealed that lower rapid-paced walking energy expenditure and higher cost-to-capacity ratio were only significantly associated with greater fragmentation in the most sedentary participants (p<0.01 for both). Our results suggest that deterioration of walking efficiency may manifest as a more fragmented physical activity profile, especially among sedentary adults. Future longitudinal studies to understand whether declining walking efficiency predicts the onset and progression of activity fragmentation are warranted.

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