Descriptive Epidemiology of Interruptions to Free-Living Sitting Time in Middle-Age and Older Adults

2021 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Jennifer Blankenship ◽  
Elisabeth A. H. Winkler ◽  
Genevieve N. Healy ◽  
Paddy C. Dempsey ◽  
John Bellettiere ◽  
...  
Keyword(s):  
Older Adults ◽  
Middle Age ◽  
Sitting Time ◽  
Descriptive Epidemiology ◽  
Free Living

Measurement of Sitting Time in Older Adults With and Without Alzheimer’s Disease

2018 ◽  
Vol 1 (2) ◽  
pp. 70-78
Author(s):  
Amber Watts ◽  
Mauricio Garnier-Villarreal ◽  
Paul Gardiner
Keyword(s):  
Alzheimer’S Disease ◽  
Older Adults ◽  
Alzheimer's Disease ◽  
Cognitive Impairment ◽  
Sedentary Time ◽  
Early Stage ◽  
Living Environment ◽  
Sitting Time ◽  
Free Living ◽  
Physical Limitations

Time spent being sedentary is associated with poorer cognitive function and risk of developing Alzheimer’s disease (AD). The present study aimed to compare patterns of sitting in a free-living environment among older adults with and without early stage AD who were similar in physical limitations, body mass, and cardiorespiratory capacity. We also compared estimates of sitting patterns between two different monitors (postural and non-postural) with different body placements (thigh-worn vs. hip-worn). Comparing older adults without cognitive impairment to those with early AD, we found that although there was no difference in the total amount of daily sitting time (p = .52), the AD group tended to have longer durations of sitting than those without AD. Inclinometry data from the hip-worn ActiGraph GT3X+ consistently underestimated time spent sitting compared to the thigh worn monitor activPAL™ (hours per day, proportion of waking hours, number of sitting bouts greater than 30 minutes, and duration of sitting bouts). Our results have implications for prevention strategies to reduce sedentary time, which is predominantly sitting, in persons with cognitive impairment and highlight the importance of monitor selection and placement for the accurate assessment of sitting patterns in this population.

Metabolic Equivalent Values of Common Daily Activities in Middle-Age and Older Adults in Free-Living Environments: A Pilot Study

2019 ◽  
Vol 16 (3) ◽  
pp. 222-229 ◽  
Author(s):  
Nicolas Aguilar-Farias ◽  
Wendy J. Brown ◽  
Tina L. Skinner ◽  
G.M.E.E. (Geeske) Peeters
Keyword(s):  
Older Adults ◽  
Pilot Study ◽  
Middle Age ◽  
Daily Activities ◽  
Free Living ◽  
Metabolic Equivalent ◽  
Living Environments

scholarly journals Efficacy of a computer-tailored web-based physical activity intervention using Fitbits for older adults: a randomised controlled trial protocol

BMJ Open ◽  
2019 ◽  
Vol 9 (12) ◽  
pp. e033305 ◽  
Author(s):  
Stephanie Alley ◽  
Jannique GZ van Uffelen ◽  
Stephanie Schoeppe ◽  
Lynne Parkinson ◽  
Susan Hunt ◽  
...  
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Physical Activity Intervention ◽  
Sitting Time ◽  
Intervention Fidelity ◽  
Web Based ◽  
Participant Satisfaction ◽  
Website Usability ◽  
Secondary Outcomes ◽  
Tailored Advice

IntroductionPhysical activity is an integral part of healthy ageing, yet the majority of older adults 65+ years are not sufficiently active. Web-based physical activity interventions hold much promise to reach older adults. Preliminary evidence suggests that web-based interventions with tailored advice and Fitbits may be well suited for older adults.Methods and analysisThis study aims to test the effectiveness of ‘Active for Life’, a 12-week computer-tailored web-based physical activity intervention using Fitbits for older adults. We will recruit 300 participants who will be randomly assigned to one of three trial arms: (1) web-based physical activity intervention with tailored advice only, (2) web-based physical activity intervention with tailored advice and Fitbit or (3) a wait-list control. The primary outcome, objective moderate to vigorous physical activity (MVPA) and secondary outcomes of objective sedentary behaviour, objective sleep, quality of life, social support, physical function and satisfaction with life will be assessed at baseline and week 12. The secondary outcomes of self-reported physical activity, sitting time and sleep will be assessed at baseline, week 6, 12 and 24. Website usability and participant satisfaction will be assessed at week 12 and website usage and intervention fidelity will be assessed from week 1 to 24. Intention-to-treat linear mixed model analyses will be used to test for group (tailoring only, tailoring +Fitbit, control) differences on changes in the main outcome, MVPA and secondary outcomes. Generalised linear models will be used to compare intervention groups (tailoring only, tailoring +Fitbit) on website usability, participant satisfaction, website usage and intervention fidelity.Ethics and disseminationThe study has received ethics approval from the Central Queensland University Human Research Ethics Committee (H16/12-321). Study outcomes will be disseminated through peer-reviewed publications and academic conferences and used to inform improvements and dissemination of a tailored, web-based physical activity intervention for adults 65+ years.Trial registration numberAustralian and New Zealand Clinical Trials Registry Number: ACTRN12618000646246

Mental movements: How long‐distance walking influences reflection processes among middle‐age and older adults

2021 ◽  
Author(s):  
Martin Mau ◽  
Dorthe S. Nielsen ◽  
Ida Skytte Jakobsen ◽  
Søren H. Klausen ◽  
Kirsten K. Roessler
Keyword(s):  
Older Adults ◽  
Middle Age ◽  
Long Distance

Individual Change in Perceived Control over 20 Years

1993 ◽  
Vol 16 (2) ◽  
pp. 305-322 ◽  
Author(s):  
Margaret Gatz ◽  
Michele J. Karel
Keyword(s):  
Older Adults ◽  
Perceived Control ◽  
Middle Age ◽  
Cohort Effect ◽  
Personal Control ◽  
Developmental Differences ◽  
Developmental Changes ◽  
Individual Change ◽  
Cross Sectional ◽  
Historical Reality

Perceptions of personal control were studied in 1267 individuals who represented four generations of families participating in a large longitudinal study spanning 1971 to 1991. Cross-sectional, longitudinal, and sequential analytic strategies were employed. Over 20 years, mean levels of personal control became more internal in the 560 respondents who participated at all four times of measurement, probably as a reflection of contextual factors in the culture. Developmental changes toward greater internality were indicated for young adults as they progressed into middle age. Cross-sectional differences in middle-aged and older adults did not appear to represent developmental differences. The oldest generation of women was consistently the most external subgroup, suggesting a cohort effect reflective of their socio-historical reality.

scholarly journals The Feasibility of Reducing Sitting Time in Overweight and Obese Older Adults

2015 ◽  
Vol 42 (5) ◽  
pp. 669-676 ◽  
Author(s):  
Dori E. Rosenberg ◽  
Nancy M. Gell ◽  
Salene M. W. Jones ◽  
Anne Renz ◽  
Jacqueline Kerr ◽  
...  
Keyword(s):  
Older Adults ◽  
Sitting Time

scholarly journals Day-to-Day Variability and Year-to-Year Reproducibility of Accelerometer-Measured Free-Living Sit-to-Stand Transitions Volume and Intensity among Community-Dwelling Older Adults

Sensors ◽  
2021 ◽  
Vol 21 (18) ◽  
pp. 6068
Author(s):  
Antti Löppönen ◽  
Laura Karavirta ◽  
Erja Portegijs ◽  
Kaisa Koivunen ◽  
Taina Rantanen ◽  
...  
Keyword(s):  
Older Adults ◽  
Angular Velocity ◽  
Functional Disability ◽  
Intraclass Correlation ◽  
Living Environment ◽  
Community Dwelling ◽  
Free Living ◽  
Sit To Stand ◽  
Increased Risk ◽  
Community Dwelling Older Adults

(1) Background: The purpose of this study was to evaluate the day-to-day variability and year-to-year reproducibility of an accelerometer-based algorithm for sit-to-stand (STS) transitions in a free-living environment among community-dwelling older adults. (2) Methods: Free-living thigh-worn accelerometry was recorded for three to seven days in 86 (women n = 55) community-dwelling older adults, on two occasions separated by one year, to evaluate the long-term consistency of free-living behavior. (3) Results: Year-to-year intraclass correlation coefficients (ICC) for the number of STS transitions were 0.79 (95% confidence interval, 0.70–0.86, p < 0.001), for mean angular velocity—0.81 (95% ci, 0.72–0.87, p < 0.001), and maximal angular velocity—0.73 (95% ci, 0.61–0.82, p < 0.001), respectively. Day-to-day ICCs were 0.63–0.72 for number of STS transitions (95% ci, 0.49–0.81, p < 0.001) and for mean angular velocity—0.75–0.80 (95% ci, 0.64–0.87, p < 0.001). Minimum detectable change (MDC) was 20.1 transitions/day for volume, 9.7°/s for mean intensity, and 31.7°/s for maximal intensity. (4) Conclusions: The volume and intensity of STS transitions monitored by a thigh-worn accelerometer and a sit-to-stand transitions algorithm are reproducible from day to day and year to year. The accelerometer can be used to reliably study STS transitions in free-living environments, which could add value to identifying individuals at increased risk for functional disability.

Analyzing Free-Living Physical Activity of Older Adults in Different Environments Using Body-Worn Activity Monitors

2010 ◽  
Vol 18 (2) ◽  
pp. 171-184 ◽  
Author(s):  
P. Margaret Grant ◽  
Malcolm H. Granat ◽  
Morag K. Thow ◽  
William M. Maclaren
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Sedentary Time ◽  
Likelihood Estimation ◽  
Day Hospital ◽  
Free Living ◽  
Activity Monitors ◽  
The Third ◽  
Patient Groups ◽  
Restricted Maximum Likelihood Estimation

This study measured objectively the postural physical activity of 4 groups of older adults (≥65 yr). The participants (N= 70) comprised 3 patient groups—2 from rehabilitation wards (cityn= 20, 81.8 ± 6.7 yr; ruraln= 10, 79.4 ± 4.7 yr) and the third from a city day hospital (n= 20, 74.7 ± 7.9 yr)—and a healthy group to provide context (n= 20, 73.7 ± 5.5 yr). The participants wore an activity monitor (activPAL) for a week. A restricted maximum-likelihood-estimation analysis of hourly upright time (standing and walking) revealed significant differences between day, hour, and location and the interaction between location and hour (p< .001). Differences in the manner in which groups accumulated upright and sedentary time (sitting and lying) were found, with the ward-based groups sedentary for prolonged periods and upright for short episodes. This information may be used by clinicians to design appropriate rehabilitation interventions and monitor patient progress.

Does Interrupting Prolonged Sitting With 10- or 20-Min Standing Attenuate Postprandial Glycemia and Blood Pressure in Middle-Aged and Older Adults With Type 2 Diabetes?

2020 ◽  
pp. 1-8
Author(s):  
Yuri A. Freire ◽  
Carlos A. Silva ◽  
Geovani A. D. Macêdo ◽  
Rodrigo A. V. Browne ◽  
Bruno M. de Oliveira ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Type 2 Diabetes ◽  
Older Adults ◽  
Area Under The Curve ◽  
Acute Effect ◽  
Sitting Time ◽  
Middle Aged ◽  
Postprandial Glycemia ◽  
Prolonged Sitting

We carried out three types of 2-hr experimental sessions with middle-aged and older adults with Type 2 diabetes in order to examine the acute effect of interrupting prolonged sitting with varying periods of standing on postprandial glycemia and blood pressure (BP): (a) prolonged sitting after breakfast; (b) standing for 10 min, 30 min after breakfast; and (c) standing for 20 min, 30 min after breakfast. Glucose and BP were assessed before and after breakfast. A generalized linear model revealed no significant differences for the incremental area under the curve of glucose between standing for 10 min, 30 min after breakfast, versus prolonged sitting after breakfast (β = –4.5 mg/dl/2 hr, 95% CI [–17.3, 8.4]) and standing for 20 min, 30 min after breakfast, versus prolonged sitting after breakfast (β = 0.9 mg/dl/2 hr, 95% CI [–11.9, 13.7]). There was no difference in area under the curve of systolic and diastolic BP among the sessions. Interrupting prolonged sitting time with 10 or 20 min of standing 30 min after breakfast does not attenuate postprandial glycemia or BP in middle-aged and older adults with Type 2 diabetes.

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