Objectively Measured Physical Activity, Sedentary Behavior, and Metabolic Syndrome in Adults: Systematic Review of Observational Evidence

2019 ◽  
Vol 17 (1) ◽  
pp. 1-21 ◽  
Author(s):  
Syed Amirfaiz ◽  
Mohd Razif Shahril
Keyword(s):  
Physical Activity ◽  
Systematic Review ◽  
Metabolic Syndrome ◽  
Sedentary Behavior ◽  
Observational Evidence ◽  
Objectively Measured ◽  
Objectively Measured Physical Activity

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.

Effect of Elimination Games on Physical Activity and Psychosocial Responses in Children

2010 ◽  
Vol 7 (4) ◽  
pp. 475-483 ◽  
Author(s):  
Karla E. Foster ◽  
Timothy K. Behrens ◽  
Abigail L. Jager ◽  
David A. Dzewaltowski
Keyword(s):  
Physical Activity ◽  
Sedentary Behavior ◽  
Peer Victimization ◽  
Self Efficacy ◽  
Vigorous Physical Activity ◽  
Preliminary Evidence ◽  
Before And After ◽  
Psychosocial Responses ◽  
Objectively Measured ◽  
Objectively Measured Physical Activity

Background:This study evaluated the effect of elimination and nonelimination games on objectively measured physical activity and psychosocial responses in children.Methods:A total of 29 children in grades 4 to 6 (65.5% male; 10.5 ± 1.0 years old) wore an accelerometer while participating in 2 elimination and 2 nonelimination games. Activity counts were collected using a 30-second epoch and converted to METs to determine minutes spent in sedentary behavior and light, moderate, vigorous, and moderate-to-vigorous physical activity. Self-efficacy, enjoyment, and peer-victimization were assessed on 4 occasions (before and after 2 elimination and 2 nonelimination games).Results:Overall, girls spent more time in sedentary behavior compared with boys. Children engaged in significantly more moderate-to-vigorous physical activity during nonelimination games compared with elimination games. Furthermore, children significantly increased self-efficacy after playing both game sessions. A significant interaction between type of game and time of measurement in the prediction of enjoyment showed that enjoyment modestly increased after elimination games and slightly decreased after nonelimination games. There were no differences in peer-victimization.Conclusion:This study provides preliminary evidence that nonelimination games provide more moderate-to-vigorous physical activity compared with elimination games, but elimination games may be more enjoyable.

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