scholarly journals Characterizing Behavioral Activity Rhythms in Older Adults Using Actigraphy

Sensors ◽  
2020 ◽  
Vol 20 (2) ◽  
pp. 549
Author(s):  
Ariel B. Neikrug ◽  
Ivy Y. Chen ◽  
Jake R. Palmer ◽  
Susan M. McCurry ◽  
Michael Von Korff ◽  
...  
Keyword(s):  
Older Adults ◽  
Older Adult ◽  
Activity Patterns ◽  
Additive Models ◽  
Behavioral Activity ◽  
New Approach ◽  
Activity Rhythms ◽  
Activity Measurements ◽  
Wrist Actigraphy

Wrist actigraphy has been used to assess sleep in older adult populations for nearly half a century. Over the years, the continuous raw activity data derived from actigraphy has been used for the characterization of factors beyond sleep/wake such as physical activity patterns and circadian rhythms. Behavioral activity rhythms (BAR) are useful to describe individual daily behavioral patterns beyond sleep and wake, which represent important and meaningful clinical outcomes. This paper reviews common rhythmometric approaches and summarizes the available data from the use of these different approaches in older adult populations. We further consider a new approach developed in our laboratory designed to provide graphical characterization of BAR for the observed behavioral phenomenon of activity patterns across time. We illustrate the application of this new approach using actigraphy data collected from a well-characterized sample of older adults (age 60+) with osteoarthritis (OA) pain and insomnia. Generalized additive models (GAM) were implemented to fit smoothed nonlinear curves to log-transformed aggregated actigraphy-derived activity measurements. This approach demonstrated an overall strong model fit (R2 = 0.82, SD = 0.09) and was able to provide meaningful outcome measures allowing for graphical and parameterized characterization of the observed activity patterns within this sample.

scholarly journals Characterization of Vertical Accelerations Experienced by Older People Attending an Aerobics Class Designed to Produce High Impacts

2016 ◽  
Vol 24 (2) ◽  
pp. 268-274 ◽  
Author(s):  
Kimberly Hannam ◽  
Kevin Deere ◽  
Sue Worrall ◽  
April Hartley ◽  
Jon H. Tobias
Keyword(s):  
Older Adults ◽  
Physical Function ◽  
Older Adult ◽  
Multivariate Analyses ◽  
Older Individuals ◽  
Intensity Maximum ◽  
Beta Coefficient ◽  
Vertical Accelerations ◽  
Exercise Classes

The purpose of this study was to establish the feasibility of using an aerobics class to produce potentially bone protective vertical impacts of ≥ 4g in older adults and to determine whether impacts can be predicted by physical function. Participants recruited from older adult exercise classes completed an SF-12 questionnaire, short physical performance battery, and an aerobics class with seven different components, performed at low and high intensity. Maximum g and jerk values were identified for each activity. Forty-one participants (mean 69 years) were included. Mean maximal values approached or exceeded the 4g threshold for four of the seven exercises. In multivariate analyses, age (−0.53; −0.77, −0.28) (standardized beta coefficient; 95% CI) and 4-m walk time (−0.39; −0.63, −0.16) were inversely related to maximum g. Aerobics classes can be used to produce relatively high vertical accelerations in older individuals, although the outcome is strongly dependent on age and physical function.

Consideration of Age-Related Changes in Behavior Trends in Older Adults in Assessing Risks of Environmental Exposures

2012 ◽  
Vol 25 (2) ◽  
pp. 243-273 ◽  
Author(s):  
Lauren Tuttle ◽  
Qingyu Meng ◽  
Jacqueline Moya ◽  
Douglas O. Johns
Keyword(s):  
Older Adults ◽  
Health Risk ◽  
Older Adult ◽  
Activity Pattern ◽  
Activity Patterns ◽  
Human Health Risk ◽  
Risk Assessments ◽  
Susceptible Population ◽  
Age Related ◽  
Adult Exposure

Objectives: To explore age-related behavior differences between older and younger adults, and to review how older adult activity patterns are considered in evaluating the potential risk of exposure to environmental pollutants. Methods: Activity pattern data and their use in risk assessments were analyzed using the U.S. EPA Exposure Factors Handbook (EFH), U.S. EPA Consolidated Human Activity Pattern Database (CHAD), and peer-reviewed literature describing human health risk assessments. Results: The characterization by age of some factors likely to impact older adults’ exposures remains limited. We demonstrate that age-related behavior trends vary between younger and older adults, and these differences are rarely explicitly considered in environmental health risk assessment for older adults. Discussion: Incorporating older adult exposure factors into risk assessments may be challenging because of data gaps and difficulty in defining and appropriately binning older adults. Additional data related to older adult exposure factors are warranted for evaluating risk among this susceptible population.

scholarly journals Characterization of proprioceptive system dynamics in behaving Drosophila larvae using high-speed volumetric microscopy

2018 ◽  
Author(s):  
Rebecca Vaadia ◽  
Wenze Li ◽  
Venkatakaushik Voleti ◽  
Aditi Singhania ◽  
Elizabeth M.C. Hillman ◽  
...  
Keyword(s):  
High Speed ◽  
Body Position ◽  
Activity Patterns ◽  
The Body ◽  
Larval Body ◽  
Activity Measurements ◽  
Natural Movement ◽  
Rigid Joints

SummaryProprioceptors provide feedback about body position that is essential for coordinated movement. Proprioceptive sensing of the position of rigid joints has been described in detail in several systems, however it is not known how animals with an elastic skeleton encode their body positions. Understanding how diverse larval body positions are dynamically encoded requires knowledge of proprioceptor activity patterns in vivo during natural movement. Here we applied high-speed volumetric SCAPE microscopy to simultaneously track the position, physical deformation, and temporal patterns of intracellular calcium activity of multidendritic proprioceptors in crawling Drosophila larvae. During the periodic segment contraction and relaxation that occurs during crawling, proprioceptors with diverse morphologies showed sequential onset of activity throughout each periodic episode. A majority of these proprioceptors showed activity during segment contraction with one neuron type activated by segment extension. Different timing of activity of contraction-sensing proprioceptors was related to distinct dendrite terminal targeting, providing a continuum of position encoding during all phases of crawling. These dynamics could endow different proprioceptors with specific roles in monitoring the progression of contraction waves, as well as body shape during other behaviors. We provide activity measurements during exploration as one example. Our results provide powerful new insights into the body-wide neuronal dynamics of the proprioceptive system in crawling Drosophila, and demonstrate the utility of our approach for characterization of neural encoding throughout the nervous system of a freely behaving animal.

scholarly journals 1098 Altered Actigraphic Behavioral Activity Rhythm In Depression

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A418-A418
Author(s):  
I Y Chen ◽  
A B Neikrug ◽  
J Adams ◽  
L McMillan ◽  
M A Yassa ◽  
...  
Keyword(s):  
Mixed Models ◽  
Activity Rhythm ◽  
Sleep Onset ◽  
Additive Models ◽  
Group Differences ◽  
Behavioral Activity ◽  
Sleep Onset Latency ◽  
Healthy Controls ◽  
Wrist Actigraphy ◽  
Sleep Parameters

Abstract Introduction Disturbances in sleep and behavioral activity rhythms (BAR) are frequently observed in individuals with depression. However, it remains unclear how activity variability across the 24-hour period is specifically associated with this disorder. The present study aimed to examine actigraphy-measured sleep and BAR in depression. Methods As part of a larger study, fourteen patients with DSM-5 major depressive episode (27.8±7.7 years, 69.2% female) and 13 healthy controls (21.8±1.2 years, 76.5% female) were evaluated with 7-14 days of wrist-actigraphy. Actigraphy-derived sleep parameters included total sleep time (TST), sleep onset latency (SOL), wake after sleep onset (WASO), and sleep efficiency (SE). Minute-by-minute activity counts were aggregated into hour-by-hour bins; hourly mean activity levels were then generated to depict 24-hour activity patterns (i.e., BAR). Factorial (GroupxTime) mixed models were conducted to examine whether BAR differed between patients with MDD and controls. Generalized Additive Models (GAM), by fitting smoothed nonlinear curves to log-transformed aggregated activity, were performed as exploratory analyses to characterize onset (UP slope) and offset (DOWN slope) of BAR. Results Compared to healthy controls, patients with MDD exhibited greater actigraphic TST (p=.026); no other between-group differences were detected for the remaining sleep parameters. Significant between-group differences were observed for mean activity during wakefulness (p<.001). Mixed models assessing hour-by-hour daily activity revealed a significant GroupxTime interaction (p=.001) with significant main effects of group (p=.017) and time (p<.001); patients with MDD had lower activity from 6 to 9 pm (ps<.005). Exploratory GAMs results showed an attenuated DOWN slope in patients with MDD (p=.014), indicating a slower decrease in activity during the evening. Conclusion Altered BAR, characterized by an overall dampened activity pattern that was most prominent during the evening, was associated with depression. Furthermore, patients with MDD took longer to wind down in the evening. Future studies are needed to explore the potential benefits of adjunctive interventions addressing both BAR along with sleep in mitigating symptoms of depression. Support Research supported by National Institutes of Health R01 MH102392.

Talk or Walk? Gait Speed over Self-Report in Association with Cognitive Speed in Healthy Older Adults

GeroPsych ◽  
2019 ◽  
Vol 32 (1) ◽  
pp. 41-52
Author(s):  
Matthew C. Costello ◽  
Shane J. Sizemore ◽  
Kimberly E. O’Brien ◽  
Lydia K. Manning
Keyword(s):  
Older Adults ◽  
Older Adult ◽  
Gait Speed ◽  
Well Being ◽  
Self Report ◽  
Subjective Report ◽  
Healthy Older Adults ◽  
Relative Value ◽  
Cognitive Speed ◽  
Age Range

Abstract. This study explores the relative value of both subjectively reported cognitive speed and gait speed in association with objectively derived cognitive speed. It also explores how these factors are affected by psychological and physical well-being. A group of 90 cognitively healthy older adults ( M = 73.38, SD = 8.06 years, range = 60–89 years) were tested in a three-task cognitive battery to determine objective cognitive speed as well as measures of gait speed, well-being, and subjective cognitive speed. Analyses indicated that gait speed was associated with objective cognitive speed to a greater degree than was subjective report, the latter being more closely related to well-being than to objective cognitive speed. These results were largely invariant across the 30-year age range of our older adult sample.

Prescription of Exercise in Older Adults, Physiotherapeutic Approach

2017 ◽  
Vol 2 (5) ◽  
Keyword(s):  
Older Adults ◽  
Older Adult ◽  
Exercise Prescription

• Identify the changes related to aging that must be taken into account for the prescription of the exercise • Define the appropriate functional assessmentsforthe prescription of the exercise in the older adult • Recognize the factors that influence the adherence to exercise by older adults • Describe according to the objectives the correct exercise prescription for older adults.

753 The role of circadian activity rhythms in depressive symptoms among female nursing students

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A293-A294
Author(s):  
Xin Zhang ◽  
Shih-Yu Lee
Keyword(s):  
Nursing Education ◽  
Depressive Symptoms ◽  
Nursing Students ◽  
Conceptual Model ◽  
Depression Scale ◽  
Psychological Problems ◽  
Circadian Activity ◽  
Activity Rhythms ◽  
Wrist Actigraphy ◽  
Insomnia Symptoms

Abstract Introduction Depression is prevalent among nursing students. Rumination and sleep-wake rhythms are associated to mental illness; however, no clear path has been found. This exploratory study aimed to examine the associations among circadian activity rhythms (CAR), rumination, and depressive symptoms in female nursing students; further, to test a hypothesized CAR conceptual model. Methods A total of 148 female nursing junior students in China completed a battery of questionnaires, including Athens Insomnia Scale (AIS), Ruminative Responses Scale (RRS), and Self-rating Depression Scale (SDS). Wrist actigraphy was used to collect total sleep time, CAR, and acrophase (time of the peak of the fitted activity curve). The path analysis was explored by using SPSS and AMOS. Results The mean age of the students was 20.64 years (SD = 0.86). About 58.8% of the participants were either mild or moderate depressed. About 93.9% of the students reported significant insomnia symptoms (AIS scores >6). Rumination was measured by the RRS (M= 2.01, SD = 0.54), and students scored higher in brooding than that of reflective pondering (2.07 vs. 1.95). The average of TST was 394.59 minutes (SD = 51.92). The CAR ranged from 0.40 to 0.98, with a mean of 0.75 (SD = 0.11). The acrophase ranged from 12:46 to 20:14 (median 16:30), with a later acrophase indicates of a more delayed circadian phase. The final model shows satisfactory fit (χ2= 2.238, p= .327); a better CAR can indirectly reduce depressive symptoms by directly reducing brooding (B = -1.149) and improving insomnia symptoms (B = -6.6443). Conclusion In order to prevent psychological problems of nursing students, ruminating and CAR should be part of health screening. The novel conceptual model provides a basis for reforming nursing education to prevent psychological problems. Support (if any) Chinese National Natural Science Foundation [71603279]

scholarly journals Sustainability Investigation of Vehicles’ CO2 Emission in Hungary

2021 ◽  
Vol 13 (15) ◽  
pp. 8237
Author(s):  
István Árpád ◽  
Judit T. Kiss ◽  
Gábor Bellér ◽  
Dénes Kocsis
Keyword(s):  
Energy Efficiency ◽  
Co2 Emissions ◽  
Energy Supply ◽  
Internal Combustion Engines ◽  
Combustion Engines ◽  
The European Union ◽  
New Approach ◽  
Technology System ◽  
Low Co2

The regulation of vehicular CO2 emissions determines the permissible emissions of vehicles in units of g CO2/km. However, these values only partially provide adequate information because they characterize only the vehicle but not the emission of the associated energy supply technology system. The energy needed for the motion of vehicles is generated in several ways by the energy industry, depending on how the vehicles are driven. These methods of energy generation consist of different series of energy source conversions, where the last technological step is the vehicle itself, and the result is the motion. In addition, sustainability characterization of vehicles cannot be determined by the vehicle’s CO2 emissions alone because it is a more complex notion. The new approach investigates the entire energy technology system associated with the generation of motion, which of course includes the vehicle. The total CO2 emissions and the resulting energy efficiency have been determined. For this, it was necessary to systematize (collect) the energy supply technology lines of the vehicles. The emission results are not given in g CO2/km but in g CO2/J, which is defined in the paper. This new method is complementary to the European Union regulative one, but it allows more complex evaluations of sustainability. The calculations were performed based on Hungarian data. Finally, using the resulting energy efficiency values, the emission results were evaluated by constructing a sustainability matrix similar to the risk matrix. If only the vehicle is investigated, low CO2 emissions can be achieved with vehicles using internal combustion engines. However, taking into consideration present technologies, in terms of sustainability, the spread of electric-only vehicles using renewable energies can result in improvement in the future. This proposal was supported by the combined analysis of the energy-specific CO2 emissions and the energy efficiency of vehicles with different power-driven systems.

scholarly journals Physical Inactivity in Older Adult Couples: A Dyadic Analysis Using Continuous In-Home Monitoring

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 412-412
Author(s):  
Chao-Yi Wu ◽  
Lyndsey Miller ◽  
Rachel Wall ◽  
Zachary Beattie ◽  
Jeffrey Kaye ◽  
...  
Keyword(s):  
Mental Health ◽  
Older Adults ◽  
Older Adult ◽  
Physical Inactivity ◽  
Home Monitoring ◽  
Health Determinants ◽  
Dyadic Analysis ◽  
Physical And Mental Health ◽  
Positive Health ◽  
Aging Research

Abstract Many older adults remain inactive despite the known positive health implications of physical activity (e.g. improved mood, reduced mortality risk). Physical inactivity is a known interdependent phenomenon in couples, but the majority of research identifies determinants of physical inactivity at the individual level. We estimated the average amount of physical inactivity for older adult couples and, using dyadic analysis, identified physical and mental health determinants thereof. Forty-eight heterosexual older adult couples (mean age=70.6, SD=6.63) from the Veterans Integrated Service Network 20 cohort of the Collaborative Aging Research using Technology (CART) initiative were included in this study. Both dyad members wore actigraph devices for a month. The average number per day of inactive periods (defined as no movement or sleep activity for ≥ 30 minutes) was estimated. Multilevel modeling revealed that, within couples, there was no difference between partners in the average number of inactive periods, but on average across couples, males had more inactive periods per day (13.4, SD=4.43) than females (12.3, SD=4.87). For males, older age was the only variable associated with more inactive periods (β=0.13, p=.013). For females, more depressive symptoms in men were associated with fewer inactive periods (β=-0.37, p=.002), and more dependence in completing their own IADLs predicted more inactive periods (β=2.80, p<.001). All models were adjusted for covariates. Viewing couples’ activity as a unit, rather than as separate individuals, provides a novel approach to identifying pathways to reduce inactivity in older adults, especially when focusing on mental health issues and decreased independence within the couple.

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