Objectively measured patterns of daily physical activity and phenotypic frailty

Author(s):  
Amal A Wanigatunga ◽  
Yurun Cai ◽  
Jacek K Urbanek ◽  
Christine M Mitchell ◽  
David L Roth ◽  
...  

Abstract Background Self-reported low physical activity is a defining feature of phenotypic frailty but does not adequately capture physical activity performed throughout the day. This study examined associations between accelerometer-derived patterns of routine daily physical activity and frailty. Methods Wrist accelerometer and frailty data from 638 participants (mean age 77 (SD=5.5) years; 44% women) were used to derive five physical activity metrics: active minutes/day, sedentary minutes/day, total activity counts/day, activity fragmentation (reciprocal of the average active bout length) and sedentary fragmentation (reciprocal of the average sedentary bout length). Robust, pre-frail and frail statuses were identified using the physical frailty phenotype defined as having 0, 1-2, or ≥3 of the following criterion: weight loss, exhaustion, slowness, self-reported low activity, and weakness. Frailty was collapsed into not frail (robust and prefrail) and frail, and each frailty criteria was dichotomized. Multiple logistic regression was used to model each accelerometer metric. Separate frailty criteria and interactions with age and sex were also examined. Results With higher amounts and intensity of daily activity (more active minutes, fewer sedentary minutes, higher activity counts) and lower activity fragmentation, the odds of frailty were lower compared to robust/prefrail states (p<0.02 for all). For interactions, only an age by sedentary fragmentation interaction on the odds of frailty was observed (p=0.01). For each separate criteria, accelerometer metrics were associated with odds of slowness, low activity, and weakness. Conclusion Less favorable patterns of objectively measured daily physical activity are associated with frailty and the components of slowness, low self-reported activity, and weakness.

2018 ◽  
Vol 15 (12) ◽  
pp. 900-911 ◽  
Author(s):  
Jeremy A. Steeves ◽  
Catrine Tudor-Locke ◽  
Rachel A. Murphy ◽  
George A. King ◽  
Eugene C. Fitzhugh ◽  
...  

Background: Little is known about the daily physical activity (PA) levels of people employed in different occupational categories. Methods: Nine ActiGraph accelerometer-derived daily PA variables are presented and ranked for adults (N = 1465, 20–60 y) working in the 22 occupational categories assessed by NHANES 2005–2006. A composite score was generated for each occupational category by summing the rankings of 3 accelerometer-derived daily PA variables known to have strong associations with health outcomes (total activity counts [TAC], moderate to vigorous PA minutes per week in modified 10-minute bouts [MVPA 10], and percentage of time spent in sedentary activity [SB%]). Results: Classified as high-activity occupational categories, “farming, fishing, forestry,” and “building & grounds cleaning, maintenance” occupations had the greatest TAC (461 996 and 449 452), most MVPA 10 (149.6 and 97.8), most steps per day (10 464 and 11 602), and near the lowest SB% (45.2% and 45.4%). “Community, social services” occupations, classified as low-activity occupational categories, had the second lowest TAC (242 085), least MVPA 10 (12.1), fewest steps per day (5684), and near the highest SB% (64.2%). Conclusions: There is a strong association between occupational category and daily activity levels. Objectively measured daily PA permitted the classification of the 22 different occupational categories into 3 activity groupings.


2009 ◽  
Vol 6 (4) ◽  
pp. 419-425 ◽  
Author(s):  
Makoto Ayabe ◽  
Takuya Yahiro ◽  
Myumi Yoshioka ◽  
Hiroyuki Higuchi ◽  
Yasuki Higaki ◽  
...  

Background:The purpose of the present investigation was to examine the relationship between age and the intensity of the daily physical activity in men and women, aged 18 to 69 years.Methods:A total 507 volunteers continuously wore a pedometer with a uni-ax-ial accelerometer (Lifecorder, Kenz, Japan) for 7 days, to determine the number of steps (steps/day) as well as the time spent in physical activity (minutes/day) at light (below 3 METs), moderate (3 to 6 METs), and vigorous (above 6 METs) intensities, respectively. All procedures carried out in the present investigation were conducted from 1999 to 2000 in Japan.Results:The time spent in moderate to vigorous intensity physical activity significantly decreased with aging (P < 0.01). In contrast, the middle- to older-aged individuals spent a longer time in light intensity physical activity in comparison with the younger individuals (P < 0.05). Furthermore, these age-associated differences of physical activity were also significant, even though the number of steps did not differ significantly.Conclusions:These results indicate that the intensity of daily physical activity decreases with increasing age regardless of the amount of daily physical activity.


2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 445-445
Author(s):  
Fangyu Liu ◽  
Hang Wang ◽  
Jacek Urbanek ◽  
Yang An ◽  
Eleanor Simonsick ◽  
...  

Abstract Gradual disengagement from essential daily physical activity (PA) necessary for independent living could signal present or emerging mild cognitive impairment (MCI) or Alzheimer’s disease (AD). We used BLSA data to examine whether PA patterns including: 1) total activity counts/day, 2) minutes/day spent active, and 3) activity fragmentation (reciprocal of the mean active bout length) differs between participants with adjudicated normal cognition (n=498) and MCI/AD diagnoses (n=32). Linear models were used and adjusted for demographics, APOE-e4 status, morbidity, and gait speed. Compared to those with normal cognition, those with MCI/AD had 3.0% higher activity fragmentation (SE=1.1%, p=0.006) but similar mean total activity counts/day (p=0.08) and minutes/day spent active (p=0.19). Results suggest that activity fragmentation may arise as a compensatory strategy in the absence of reduced activity in MCI and early AD and that activity monitoring may be potentially useful for detecting MCI and AD at an earlier stage.


2009 ◽  
Vol 28 (2) ◽  
pp. 139-145 ◽  
Author(s):  
Magnus Dencker ◽  
Anna Bugge ◽  
Bianca Hermansen ◽  
Lars B. Andersen

2014 ◽  
Vol 11 (1) ◽  
pp. 136-144 ◽  
Author(s):  
Verity Cleland ◽  
Michael Schmidt ◽  
Jo Salmon ◽  
Terry Dywer ◽  
Alison Venn

Background:We investigated associations of total sedentary behavior (SB) and objectively-measured and self-reported physical activity (PA) with obesity.Methods:Data from 1662 adults (26–36 years) included daily steps, self-reported PA, sitting, and waist circumference. SB and PA were dichotomized at the median, then 2 variables created (SB/self-reported PA; SB/objectively-measured PA) each with 4 categories: low SB/high PA (reference group), high SB/high PA, low SB/low PA, high SB/low PA.Results:Overall, high SB/low PA was associated with 95 –168% increased obesity odds. Associations were stronger and more consistent for steps than self-reported PA for men (OR 2.68, 95% CI 1.36–5.32 and OR 1.95, 95% CI 1.01–3.79, respectively) and women (OR 2.66, 95% CI 1.58–4.49 and OR 2.00, 95% CI 1.21–3.31, respectively). Among men, obesity was higher when daily steps were low, irrespective of sitting (low SB/low steps OR 2.07, 95% CI 1.03–4.17; high SB/low steps OR 2.68, 95% CI 1.36–5.32).Conclusions:High sitting and low activity increased obesity odds among adults. Irrespective of sitting, men with low step counts had increased odds of obesity. The findings highlight the importance of engaging in physical activity and limiting sitting.


2009 ◽  
Vol 19 (5) ◽  
pp. 664-668 ◽  
Author(s):  
M. Dencker ◽  
O. Thorsson ◽  
M. K. Karlsson ◽  
C. Lindén ◽  
P. Wollmer ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document