scholarly journals Associations between objectively measured physical activity, sedentary behaviour and time in bed among 75+ community-dwelling Danish older adults

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Li-Tang Tsai ◽  
Eleanor Boyle ◽  
Jan C. Brønd ◽  
Gry Kock ◽  
Mathias Skjødt ◽  
...  
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Sedentary Behavior ◽  
Sedentary Behaviour ◽  
Sleep Duration ◽  
Activity Level ◽  
Time In Bed ◽  
Objectively Measured ◽  
Objectively Measured Physical Activity ◽  
Vector Magnitude

Abstract Background Older adults are recommended to sleep 7–8 h/day. Time in bed (TIB) differs from sleep duration and includes also the time of lying in bed without sleeping. Long TIB (≥9 h) are associated with self-reported sedentary behavior, but the association between objectively measured physical activity, sedentary behavior and TIB is unknown. Methods This study was based on cross-sectional analysis of the Healthy Ageing Network of Competence (HANC Study). Physical activity and sedentary behaviour were measured by a tri-axial accelerometer (ActiGraph) placed on the dominant wrist for 7 days. Sedentary behavior was classified as < 2303 counts per minute (cpm) in vector magnitude and physical activity intensities were categorized, as 2303–4999 and ≥ 5000 cpm in vector magnitude. TIB was recorded in self-reported diaries. Participants were categorized as UTIB (usually having TIB 7–9 h/night: ≥80% of measurement days), STIB (sometimes having TIB 7–9 h/night: 20–79% of measurement days), and RTIB (rarely having TIB 7–9 h/night: < 20% of measurement days). Multinominal regression models were used to calculate the relative risk ratios (RRR) of being RTIB and STIB by daily levels of physical activity and SB, with UTIB as the reference group. The models were adjusted for age, sex, average daily nap length and physical function. Results Three hundred and fourty-one older adults (median age 81 (IQR 5), 62% women) were included with median TIB of 8 h 21 min (1 h 10 min)/day, physical activity level of 2054 (864) CPM with 64 (15) % of waking hours in sedentary behavior. Those with average CPM within the highest tertile had a lower RRR (0.33 (0.15–0.71), p = 0.005) for being RTIB compared to those within the lowest tertile of average CPM. Accumulating physical activity in intensities 2303–4999 and ≥ 5000 cpm/day did not affect the RRR of being RTIB. RRR of being RTIB among highly sedentary participants (≥10 h/day of sedentary behavior) more than tripled compared to those who were less sedentary (3.21 (1.50–6.88), p = 0.003). Conclusions For older adults, being physically active and less sedentary was associated with being in bed for 7–9 h/night for most nights (≥80%). Future longitudinal studies are warranted to explore the causal relationship sbetween physical activity and sleep duration.

Accelerometer-Determined Sedentary and Physical Activity Estimates Among Older Adults With Diabetes: Considerations by Demographic and Comorbidity Characteristics

2014 ◽  
Vol 22 (3) ◽  
pp. 432-440 ◽  
Author(s):  
Paul D. Loprinzi
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Sedentary Behavior ◽  
Population Level ◽  
National Sample ◽  
Nutrition Examination Survey ◽  
Health And Nutrition ◽  
Objectively Measured ◽  
Objectively Measured Physical Activity ◽  
Sedentary Activities

Understanding of the objectively measured physical activity (PA) and sedentary patterns of adults with diabetes at the population level is currently limited. Therefore, the purpose of this study was to report accelerometer-determined PA and sedentary patterns among a national sample of U.S. adults with and without evidence of diabetes and to also explore differences across other comorbidity characteristics. Data from the 2003–2006 National Health and Nutrition Examination Survey were used. Four hundred seven participants had evidence of diabetes (mean age = 73.4 years), and 1,346 did not have diabetes (mean age = 74.3 years). Results showed that few older adults meet PA guidelines; the majority of their time is spent in sedentary activities; very few engage in more light-intensity PA than sedentary behavior; and older adults with multiple comorbidities engage in less PA and more sedentary behavior than their counterparts. The development and implementation of feasible, effective PA programs for older adults with multiple comorbidities are warranted.

scholarly journals Objectively measured physical activity level and sedentary behavior in Norwegian children during a week in preschool

2017 ◽  
Vol 7 ◽  
pp. 130-135 ◽  
Author(s):  
Eivind Andersen ◽  
Janne Borch-Jenssen ◽  
Steinar Øvreås ◽  
Hanna Ellingsen ◽  
Kari Anne Jørgensen ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sedentary Behavior ◽  
Physical Activity Level ◽  
Activity Level ◽  
Objectively Measured ◽  
Objectively Measured Physical Activity

Abstract P337: Adolescent Sleep is Associated With Physical Activity and Sedentary Behavior Patterns

Circulation ◽  
2018 ◽  
Vol 137 (suppl_1) ◽  
Author(s):  
Jessica A Parascando ◽  
Fan He ◽  
Steriani Elavsky ◽  
Edward O Bixler ◽  
Julio Fernandez-Mendoza ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sedentary Behavior ◽  
Sleep Duration ◽  
Sleep Quantity ◽  
Adolescent Population ◽  
Activity Measurements ◽  
Penn State ◽  
State Child ◽  
Objectively Measured ◽  
And Behavior

Introduction: A decrease in sleep quantity and quality is a growing concern in the adolescent population. Concurrently, an increase in physical inactivity has been shown to be related to numerous health consequences. There is a lack of literature on the relationship between sleep, physical activity (PA) and sedentary behavior (SB) in the adolescent population, particularly looking at night-to-night sleep irregularity. Hypothesis: We hypothesized that increased PA and decreased SB in both objective and subject modalities would be associated with greater habitual sleep duration (HSD) and lesser habitual sleep variability (HSV) in this adolescent population. Methods: Objective and subjective sleep and activity measurements were collected from 295 adolescents in the Penn State Child Cohort follow-up examination. Objectively-measured variables were obtained through 7 consecutive days of actigraphy collection. HSD was calculated as the average sleep duration across 7 nights, and HSV was calculated as the standard deviation (SD) of intra-individual sleep duration. Subjects with <5 nights of sleep data were excluded from analysis. Self-administered questionnaires were used to collect subjectively-measured sleep, PA, and SB data. The relationships between sleep and behavior measures were assessed using linear regressions. All models were adjusted for age, sex, race and BMI percentile. Results: On average, our sample was 16.8 years, 52% male, and 79% white. We found that higher SB was associated with shorter HSD. With one SD change in objectively-measured SB (1014 minutes), HSD is reduced by 16 (3.6) minutes (p<0.05). Although not statistically significant, subjective SB showed a similar pattern. Unexpectedly, both objective and subjective measures of increased PA were associated with shorter HSD. In terms of HSV, we found that higher subjective SB was associated with greater HSV; specifically, with one SD change in subjectively-measured SB (8.64 points), HSV increased by 0.011 (0.004) minutes. None of the PA measures were significantly associated with HSV. Conclusions: In conclusion, objectively-measured sleep patterns are related to physical activity/inactivity. Our results emphasize the need of future studies to systematically assess the inter-relationship of sleep and physical activity in this population.

scholarly journals Compliance with 24-h Movement Behaviour Guidelines among Belgian Pre-School Children: The ToyBox-Study

2018 ◽  
Vol 15 (10) ◽  
pp. 2171 ◽  
Author(s):  
Marieke De Craemer ◽  
Duncan McGregor ◽  
Odysseas Androutsos ◽  
Yannis Manios ◽  
Greet Cardon
Keyword(s):  
Physical Activity ◽  
Sedentary Behaviour ◽  
Sleep Duration ◽  
School Children ◽  
Screen Time ◽  
Complete Data ◽  
Total Physical Activity ◽  
Movement Behaviour ◽  
Objectively Measured

The 24-h day—containing physical activity, sedentary behaviour and sleep—in pre-school children has not yet been extensively investigated. The aim of the current study was to investigate pre-schoolers’ compliance with the 24-h movement behaviour guidelines (i.e., three hours/day total physical activity, a maximum of one hour/day of screen time and 10–13 h sleep/night). In total, 595 pre-schoolers (53.3% boys, mean age: 4.2 years) provided complete data for the three behaviours. Physical activity was objectively measured with accelerometers, while screen time and sleep were parent-reported through questionnaires. The proportion of pre-schoolers complying with the 24-h movement behaviour guidelines was calculated on weekdays and on weekend days. Low compliance rates were found: 10.1% on weekdays and only 4.3% on weekend days. The majority of pre-schoolers complied with the sleep duration guidelines (>90% on weekdays and weekend days), followed by the screen time guidelines (61% on weekdays and 28% on weekend days). The lowest compliance rates were found for physical activity (<20% on weekdays and weekend days). Overall, low percentages of pre-schoolers complying with the 24-h movement behaviour guidelines were found, and the lowest compliance was found for physical activity.

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