scholarly journals Consequences of Choosing Different Settings When Processing Hip-Based Accelerometry Data From Older Adults: A Practical Approach Using Baseline Data From the SITLESS Study

2020 ◽  
Vol 3 (2) ◽  
pp. 89-99 ◽  
Author(s):  
Jason J. Wilson ◽  
Mathias Skjødt ◽  
Ilona McMullan ◽  
Nicole E. Blackburn ◽  
Maria Giné-Garriga ◽  
...  
Keyword(s):  
Older Adults ◽  
Repeated Measures ◽  
Low Frequency ◽  
Vertical Axis ◽  
Time Algorithm ◽  
Normal Filter ◽  
Wear Time ◽  
Epoch Length ◽  
Vector Magnitude ◽  
Selection Of

Accurately measuring older adults’ physical activity (PA) and sedentary behavior (SB) using accelerometers is essential, as both are important markers of health. This study aimed to highlight how steps taken during data processing may affect key hip-based accelerometry outcomes in older adults, using a selection of baseline accelerometry data (n = 658) from the SITLESS study. Different analytical parameters tested included wear-time algorithms, use of low-frequency extension (LFE) filter, epoch length, and minimum and maximum daily wear-time thresholds. These were compared against vertical axis counts per minute (CPM), vector magnitude (VM) CPM, SB, light PA, moderate-to-vigorous PA, step counts, and wear-time percentage. Differences in settings across the analytical parameters were assessed using paired sample t-tests and repeated measures ANOVAs using Bonferroni correction. Using the “Choi” versus “Troiano” wear-time algorithm resulted in a higher percentage wear-time. Most SB and PA outcomes were significantly different across wear-time algorithms (p < .001). This was similar when using the LFE filter versus normal filter (p < .001). Using 10-second epoch length increased daily SB time (between +75.7 and +79.2 minutes) compared to 60-second. Most SB and PA outcomes significantly changed comparing minimum-wear-time thresholds of 360, 480, 600, and 720 minutes per day (p < .001). Applying a log-diary with a ≥1140-minute threshold had a significant impact on vertical axis CPM, VM CPM, SB, and light PA outcomes (p < .001). This study demonstrates the potential variability in the number of participants being included in studies and reported SB and PA levels when processing older adults’ accelerometry data dependent on the analytical procedures utilized.

Defining Accelerometer Nonwear Time to Maximize Detection of Sedentary Time in Youth

2018 ◽  
Vol 30 (2) ◽  
pp. 288-295 ◽  
Author(s):  
Kelli L. Cain ◽  
Edith Bonilla ◽  
Terry L. Conway ◽  
Jasper Schipperijn ◽  
Carrie M. Geremia ◽  
...  
Keyword(s):  
Children And Adolescents ◽  
Sedentary Time ◽  
Low Frequency ◽  
Vertical Axis ◽  
Prevalence Rates ◽  
Activity Data ◽  
Normal Filter ◽  
Model Filter ◽  
Definition Of ◽  
Vector Magnitude

Purpose: The present study examined various accelerometer nonwear definitions and their impact on detection of sedentary time using different ActiGraph models, filters, and axes. Methods: In total, 61 youth (34 children and 27 adolescents; aged 5–17 y) wore a 7164 and GT3X+ ActiGraph on a hip-worn belt during a 90-minute structured sedentary activity. Data from GT3X+ were downloaded using the Normal filter (N) and low-frequency extension (LFE), and vertical axis (V) and vector magnitude (VM) counts were examined. Nine nonwear definitions were applied to the 7164 model (V), GT3X+LFE (V and VM), and GT3X+N (V and VM), and sedentary estimates were computed. Results: The GT3X+LFE-VM was most sensitive to movement and could accurately detect observed sedentary time with the shortest nonwear definition of 20 minutes of consecutive “0” counts for children and 40 minutes for adolescents. The GT3X+N-V was least sensitive to movement and required longer definitions to detect observed sedentary time (40 min for children and 90 min for adolescents). VM definitions were 10 minutes shorter than V definitions. LFE definitions were 40 minutes shorter than N definitions in adolescents. Conclusion: Different nonwear definitions are needed for children and adolescents and for different model-filter-axis types. Authors need to consider nonwear definitions when comparing prevalence rates of sedentary behavior across studies.

scholarly journals Physical Activity and Sedentary Behavior Assessment: A Laboratory-Based Evaluation of Agreement between Commonly Used ActiGraph and Omron Accelerometers

2019 ◽  
Vol 16 (17) ◽  
pp. 3126 ◽  
Author(s):  
Shohei Yano ◽  
Mohammad Javad Koohsari ◽  
Ai Shibata ◽  
Kaori Ishii ◽  
Levi Frehlich ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sedentary Behavior ◽  
Vertical Axis ◽  
Altman Analysis ◽  
Metabolic Equivalents ◽  
Estimation Equations ◽  
The Difference ◽  
Ambulatory Activities ◽  
Vector Magnitude ◽  
Selection Of

Different models of accelerometer have the potential to provide a different estimate of the same physical activity or sedentary behavior. Our study compared the outputs of the Active Style Pro (ASP) and ActiGraph (AG) devices in assessing predicted metabolic equivalents (METs) for specific activities under laboratory conditions. Thirty healthy young adults wore two hip accelerometers (ASP and AG), simultaneously while performing twenty-two activities (eight sedentary, eight household, and six ambulatory activities) in a controlled laboratory setting. For the AG, predicted METs for each activity was calculated using four equations based on vertical-axis and vector magnitude data. Separate paired t-tests and Bland–Altman analysis examined the difference and agreement in METs between AG using four commonly used equations and ASP measurements for each activity. AG devices using different equations calculated significantly different outcomes for most activities compared with ASP devices. The smallest differences in predicted METs estimates between ASP and AG were observed for ambulatory activities. Ambulatory activities demonstrated the best agreement between ASP and AG regardless of which AG equation was used. Our findings can be used to assist researchers in their selection of accelerometer and output estimation equations for measuring physical activity and sedentary behavior in adults.

Effects of Aging on the Subcortical Encoding of Stop Consonants

2020 ◽  
Vol 29 (3) ◽  
pp. 391-403
Author(s):  
Dania Rishiq ◽  
Ashley Harkrider ◽  
Cary Springer ◽  
Mark Hedrick
Keyword(s):  
Older Adults ◽  
Repeated Measures ◽  
Mixed Model ◽  
Auditory Brainstem ◽  
Auditory Brainstem Responses ◽  
Aging Effects ◽  
Formant Frequency ◽  
Place Of Articulation ◽  
Second Formant ◽  
Effects Of Aging

Purpose The main purpose of this study was to evaluate aging effects on the predominantly subcortical (brainstem) encoding of the second-formant frequency transition, an essential acoustic cue for perceiving place of articulation. Method Synthetic consonant–vowel syllables varying in second-formant onset frequency (i.e., /ba/, /da/, and /ga/ stimuli) were used to elicit speech-evoked auditory brainstem responses (speech-ABRs) in 16 young adults ( M age = 21 years) and 11 older adults ( M age = 59 years). Repeated-measures mixed-model analyses of variance were performed on the latencies and amplitudes of the speech-ABR peaks. Fixed factors were phoneme (repeated measures on three levels: /b/ vs. /d/ vs. /g/) and age (two levels: young vs. older). Results Speech-ABR differences were observed between the two groups (young vs. older adults). Specifically, older listeners showed generalized amplitude reductions for onset and major peaks. Significant Phoneme × Group interactions were not observed. Conclusions Results showed aging effects in speech-ABR amplitudes that may reflect diminished subcortical encoding of consonants in older listeners. These aging effects were not phoneme dependent as observed using the statistical methods of this study.

Spatial Representations as an Emergent Feature of Perceptual Processing

2010 ◽  
Vol 24 (3) ◽  
pp. 161-172 ◽  
Author(s):  
Edmund Wascher ◽  
C. Beste
Keyword(s):  
Common Ground ◽  
Event Related Potentials ◽  
Vertical Axis ◽  
Relevant Information ◽  
Sources Of Information ◽  
Integrated Network ◽  
Perceptual Maps ◽  
Emergent Feature ◽  
Related Potentials ◽  
Selection Of

Spatial selection of relevant information has been proposed to reflect an emergent feature of stimulus processing within an integrated network of perceptual areas. Stimulus-based and intention-based sources of information might converge in a common stage when spatial maps are generated. This approach appears to be inconsistent with the assumption of distinct mechanisms for stimulus-driven and top-down controlled attention. In two experiments, the common ground of stimulus-driven and intention-based attention was tested by means of event-related potentials (ERPs) in the human EEG. In both experiments, the processing of a single transient was compared to the selection of a physically comparable stimulus among distractors. While single transients evoked a spatially sensitive N1, the extraction of relevant information out of a more complex display was reflected in an N2pc. The high similarity of the spatial portion of these two components (Experiment 1), and the replication of this finding for the vertical axis (Experiment 2) indicate that these two ERP components might both reflect the spatial representation of relevant information as derived from the organization of perceptual maps, just at different points in time.

Selection of Airfoils for Vertical Axis Wind Turbines for Low Speed, Low Altitude Regions of Central India

2017 ◽  
Vol 7 (11) ◽  
pp. 113
Author(s):  
Abhineet Singh ◽  
Sonali Mitra ◽  
S.V.H. Nagendra ◽  
Pragyan Jain
Keyword(s):  
Numerical Analysis ◽  
Central India ◽  
Vertical Axis ◽  
College Campus ◽  
Low Speed ◽  
Vertical Axis Wind Turbines ◽  
Low Altitude ◽  
Naca 0015 ◽  
Naca 0012 ◽  
Selection Of

The present paper deals with the selection of airfoil profile for VAWTs which is to be installed in the college campus, located in Central India region. Both experimental and numerical analysis he been carried out for the three selected airfoils, NACA 0012, NACA 0015 & S2027. The results show a good correlation with the existing literature. Airfoil profile S2027 has been chosen which best suits our condition. 

scholarly journals The effects of social comparisons on subjective age and self-rated health

2021 ◽  
pp. 1-14
Author(s):  
Maayan Sayag ◽  
Gitit Kavé
Keyword(s):  
Older Adults ◽  
Comparison Group ◽  
Peer Group ◽  
Social Comparisons ◽  
Subjective Health ◽  
Subjective Age ◽  
Negative Effects ◽  
Younger Adults ◽  
Self Rated Health ◽  
Selection Of

Abstract Older adults consistently report young subjective age and provide high ratings of their subjective health. The current research examined which social comparisons older adults make when they assess their subjective age and health, as well as the effects of experimentally manipulated social comparisons on these assessments. In Study 1, 146 participants (aged 60 and over) reported to whom they compared themselves when assessing their subjective age or health. In Study 2, 100 participants (aged 60 and over) reported their subjective age and health after receiving feedback that compared them to younger adults or to their peers. Study 1 shows that participants compared themselves primarily to their peer group. Yet, individuals who selected a younger comparison group when assessing subjective age reported a younger subjective age, better self-rated health and more positive expectations regarding ageing relative to those who selected their peers as a comparison group. No equivalent differences emerged in any of the measures when participants were divided by their selection of comparison group after providing their self-rated health ratings. In Study 2, feedback that emphasised the performance of younger people led to reports of younger subjective age relative to feedback that emphasised peer performance, with no equivalent difference for self-rated health. These findings help explain why older adults feel younger and healthier than they actually are. We suggest that older adults use social comparisons as a strategy that protects them from the negative effects of ageing on self-perception.

Effectiveness of a Care Delivery Model for High-Need Older Adults in Communities

2020 ◽  
pp. 104973152098235
Author(s):  
Kuei-Min Chen ◽  
Hui-Fen Hsu ◽  
Li-Yen Yang ◽  
Chiang-Ching Chang ◽  
Yu-Ming Chen ◽  
...  
Keyword(s):  
Older Adults ◽  
Repeated Measures ◽  
Comparison Group ◽  
Care Delivery ◽  
Intervention Group ◽  
Community Dwelling ◽  
Delivery Model ◽  
Positive Effects ◽  
Repeated Measures Design ◽  
Care Delivery Model

Purpose: This study aimed to test the effectiveness of High-Need Community-Dwelling Older Adults Care Delivery Model (HCOACDM) in Taiwan. Methods: A cluster randomized controlled trial with repeated measures design was conducted in eight community care centers, involving 145 high-need older adults who were assigned to the intervention group or comparison group. The HCOACDM was provided over 6 months. Functional ability, quality of life, depressive symptoms, and health care and social service utilizations were measured at baseline, at 3 months, and 6 months into the intervention. The participants’ satisfaction was measured at the end of 6-month intervention. Results: Positive effects were shown on all variables in the intervention group at both the 3-month and 6-month intervals (all p < .05). The intervention group had a higher satisfaction with care delivery than the comparison group ( p < .05). Discussion: The promising findings supported a long-term implementation of the HCOACDM as applicable and beneficial.

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.

scholarly journals The Effect of Different Turn Speeds on Whole-Body Coordination in Younger and Older Healthy Adults

Sensors ◽  
2021 ◽  
Vol 21 (8) ◽  
pp. 2827
Author(s):  
Fuengfa Khobkhun ◽  
Mark Hollands ◽  
Jim Richards
Keyword(s):  
Older Adults ◽  
Repeated Measures ◽  
Mixed Model ◽  
Healthy Adults ◽  
Whole Body ◽  
Onset Latency ◽  
Step Frequency ◽  
Step Size ◽  
Younger Adults ◽  
Mixed Model Analysis

Difficulty in turning is prevalent in older adults and results in postural instability and risk of falling. Despite this, the mechanisms of turning problems have yet to be fully determined, and it is unclear if different speeds directly result in altered posture and turning characteristics. The aim of this study was to identify the effects of turning speeds on whole-body coordination and to explore if these can be used to help inform fall prevention programs in older adults. Forty-two participants (21 healthy older adults and 21 younger adults) completed standing turns on level ground. Inertial Measurement Units (XSENS) were used to measure turning kinematics and stepping characteristics. Participants were randomly tasked to turn 180° at one of three speeds; fast, moderate, or slow to the left and right. Two factors mixed model analysis of variance (MM ANOVA) with post hoc pairwise comparisons were performed to assess the two groups and three turning speeds. Significant interaction effects (p < 0.05) were seen in; reorientation onset latency of head, pelvis, and feet, peak segmental angular separation, and stepping characteristics (step frequency and step size), which all changed with increasing turn speed. Repeated measures ANOVA revealed the main effects of speeds within the older adults group on those variables as well as the younger adults group. Our results suggest that turning speeds result in altered whole-body coordination and stepping behavior in older adults, which use the same temporospatial sequence as younger adults. However, some characteristics differ significantly, e.g., onset latency of segments, peak head velocity, step frequency, and step size. Therefore, the assessment of turning speeds elucidates the exact temporospatial differences between older and younger healthy adults and may help to determine some of the issues that the older population face during turning, and ultimately the altered whole-body coordination, which lead to falls.

scholarly journals Cognitive decline and alcohol consumption adjusting for functional status over a 3-year period in French speaking community living older adults

2018 ◽  
Vol 41 (2) ◽  
pp. e177-e184 ◽  
Author(s):  
Helen-Maria Vasiliadis ◽  
Marie-Christine Payette ◽  
Djamal Berbiche ◽  
Sébastien Grenier ◽  
Carol Hudon
Keyword(s):  
Older Adults ◽  
Alcohol Consumption ◽  
Cognitive Decline ◽  
Functional Status ◽  
Repeated Measures ◽  
Service Use ◽  
High Functioning ◽  
French Speaking ◽  
Changing Patterns

AbstractBackgroundThe effect of alcohol consumption on cognitive decline is not clear. We aimed to study the association between alcohol consumption and cognitive functioning controlling for functional heath status.MethodsA total of 1610 older adults with a score ≥26 on the Mini-Mental State Examination (MMSE) were followed to assess the change in scores at the 3-year follow-up. Information on alcohol consumption as well as socio-demographic, lifestyle, psychosocial and clinical factors, as well as health service use were assessed at baseline and 3-year follow-up interviews. Linear mixed models with repeated measures were used stratifying by functional status.ResultsClose to 73% reported consuming alcohol in the past 6 months, of which 11% were heavy drinkers (≥11 and ≥16 drinks for women and men). A significant decrease in MMSE scores was observed in low functioning non-drinkers (−1.48; 95% CI: −2.06, −0.89) and light to moderate drinkers (−0.99; 95% CI: −1.54, −0.44) and high functioning non-drinkers (−0.51; 95% CI: −0.91, −0.10).ConclusionsAlcohol consumption did not contribute to cognitive decline. Cognitive decline was greater in individuals reporting low functional status. Research should focus on the interaction between changing patterns of alcohol consumption and social participation in individuals with low and high functioning status.

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