Fractional re-distribution among cell motility states during ageing

AbstractAgeing in humans is associated with the decreased capacity to regulate cell physiology. Cellular properties, such as cell morphology and mechanics, encode ageing information, and can therefore be used as robust biomarkers of ageing. Using a panel of dermal fibroblasts derived from healthy donors spanning a wide age range, we observe an age-associated decrease in cell motility. By taking advantage of the single-cell nature of our motility data, we classified cells based on spatial and activity patterns to define age-dependent motility states. We show that the age-dependent decrease in cell motility is not due to the reduced motility of all cells, but results from the fractional re-distribution among motility states. These findings highlight an important feature of ageing cells characterized by a reduction of cellular heterogeneity in older adults relative to post-adolescent/adults. Furthermore, these results point to a mechanistic framework of ageing, with potential applications in deciphering emergent ageing phenotypes and biomarker development.

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Fractional re-distribution among cell motility states during ageing

10.1101/2020.04.29.069286 ◽

2020 ◽

Author(s):

Jude M. Phillip ◽

Nahuel Zamponi ◽

Madonna P. Phillip ◽

Jena Daya ◽

Shaun McGovern ◽

...

Keyword(s):

Cell Motility ◽

Activity Patterns ◽

Cell Movement ◽

Dermal Fibroblasts ◽

Cell Physiology ◽

Average Cell ◽

Age Related ◽

Healthy Donors ◽

Age Dependent ◽

Age Range

ABSTRACTAgeing in humans is associated with a decreased capacity to regulate cell physiology. Cellular properties, such as cell morphology and cell mechanics, encode ageing information and as a result can be used as robust ageing biomarkers. Using a panel of dermal fibroblasts derived from healthy donors spanning a wide age range, we observe an age-related reduction in average cell motility, which we show is not due to the decreased motility of all cells, but results from fractional re-distribution among motility states. By taking advantage of the single-cell nature of our motility data, we show that cells can be classified based on spatial and activity patterns that define age-dependent motility states. These findings highlight an important feature of ageing cells shown by the decrease in the heterogeneity of cell movement in older adults, that potentially offer new mechanistic insights into the ageing process and avenues for novel biomarker development.

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

GeroPsych ◽

10.1024/1662-9647/a000202 ◽

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.

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Conscious and Non-Conscious Processes Regulate Minority Older Adults’ Sedentary Behavior

Innovation in Aging ◽

10.1093/geroni/igaa057.1074 ◽

2020 ◽

Vol 4 (Supplement_1) ◽

pp. 335-335

Author(s):

Jaclyn Maher ◽

Derek Hevel ◽

Kourtney Sappenfield ◽

Heidi Scheer ◽

Christine Zecca ◽

...

Keyword(s):

Older Adults ◽

Sedentary Behavior ◽

Action Planning ◽

Interactive Effects ◽

Black African ◽

Affective Consequences ◽

Introductory Session ◽

Conscious Processes ◽

Multilevel Linear Regression ◽

Age Range

Abstract Accumulating evidence suggests that sedentary behavior (SB), or time spent sitting, is regulated by both conscious (e.g., intentions) and non-conscious (e.g., habits) motivational processes. Much of the work investigating these processes has employed summary-based measures of typical motivation and behavior. This study employed ecological momentary assessment (EMA) methods and accelerometry to determine the extent to which conscious and non-conscious processes regulate minority older adults’ momentary decisions to engage in SB. Over the course of the 8-day study, minority older adults (N=91; age range: 60-89 years, 96% Black/African American) answered 6 EMA questionnaires/day on a mobile phone and wore an ActivPAL activity monitor to measure SB. EMA questionnaires assessed momentary intentions to limit SB over the next two hours. SB habit strength was self-reported at an introductory session. Results from a multilevel linear regression model indicated that on occasions when individuals had stronger intentions than usual to limit SB, they subsequently engaged in less SB (b=-3.72, p<0.01). Individuals who had stronger SB habits, tended to engage in more SB (b=3.00, p<0.01). An additional multilevel model revealed that habits did not significantly moderate the association between momentary intentions and subsequent SB (b=-1.06, p=0.09). In conclusion, minority older adults’ momentary SB appears to be directly influenced by both conscious and non-conscious motivational processes, though the interactive effects are unclear. Interventions to reduce minority older adults’ SB should include content to increase intentions to limit SB (e.g., information on instrumental and affective consequences) and disrupt habitual SB (e.g., action planning).

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Learning Room Structure and Activity Patterns Using RF Sensing for In-Home Monitoring of Older Adults

2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) ◽

10.1109/bibm49941.2020.9313335 ◽

2020 ◽

Author(s):

Nuerzati Resuli ◽

Marjorie Skubic ◽

Scott Kovaleski

Keyword(s):

Older Adults ◽

Activity Patterns ◽

Home Monitoring ◽

Structure And Activity ◽

Rf Sensing

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Older Adults and Technology Use: A Systematic Literature Review

Innovation in Aging ◽

10.1093/geroni/igaa057.3004 ◽

2020 ◽

Vol 4 (Supplement_1) ◽

pp. 823-823

Author(s):

Hyung Wook Choi ◽

Rose Ann DiMaria-Ghalili ◽

Mat Kelly ◽

Alexander Poole ◽

Erjia Yan ◽

...

Keyword(s):

Older Adults ◽

Technology Use ◽

Age Groups ◽

Well Being ◽

Sample Population ◽

Age Cohorts ◽

Fine Grained ◽

Nuanced Understanding ◽

Smart Technologies ◽

Age Range

Abstract Researchers are increasingly interested in leveraging technology to support the physical and mental well-being of older adults. We systematically reviewed previous scholars’ criteria for sampling older adult populations, focusing on age cohorts (namely adults over 65) and their use of internet and smart technologies. We iteratively developed keyword combinations that represent older adults and technology from the retrieved literature. Between 2011 and 2020, 70 systematic reviews were identified, 26 of which met our inclusion criteria for full review. Most important, not one of the 26 papers used a sample population classification more fine-grained than “65 and older.” A knowledge gap thus exists; researchers lack a nuanced understanding of differences within this extraordinarily broad age-range. Demographics that we propose to analyze empirically include not only finer measures of age (e.g., 65-70 or 71-75, as opposed to “65 and older”), but also those age groups’ attitudes toward and capacity for technology use.

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ONE-LEGGED STANCE BALANCE OF OLDER ADULTS WITH AND WITHOUT FALLS

Innovation in Aging ◽

10.1093/geroni/igz038.1754 ◽

2019 ◽

Vol 3 (Supplement_1) ◽

pp. S470-S470

Author(s):

Edgar R Vieira ◽

Márcio Oliveira ◽

Andre Gil ◽

Karen Fernandes ◽

Denilson Teixeira ◽

...

Keyword(s):

Older Adults ◽

Fear Of Falling ◽

Center Of Pressure ◽

Area Under The Curve ◽

Test Duration ◽

Mobility Impairments ◽

Eyes Open ◽

Falls In Older Adults ◽

Elliptical Area ◽

Age Range

Abstract Balance impairment is a common problem among older adults. Poor balance in older adults is often associated with mobility impairments, activity limitations and fear of falling in older adults. Thus, balance assessment is useful for early detection of postural control deficits to prevent mobility impairments and falls in older adults. The aim of this study was to assess if balance measures based in center of pressure (COP) parameters during one-legged stance could differentiate between older adults with and without falls in the past 12 months. One-hundred and seventy older adults (50 fallers and 120 non-fallers, age range: 63-72 years) performed three 30s one-legged stance trials with eyes open on a force platform with 30s of rest between each trial. The following variables were evaluated: COP 95% elliptical area, COP velocity in the anterior-posterior and medio-lateral directions, and test duration (how long the participant was able to stay in one-legged stance, up to 30s). Fallers had poorer balance than non-fallers (P ≤0.004). The COP parameters presented an area under the curve between 0.65-0.72, with sensitivity varying from 66 to 78% and specificity from 54 to 68%. There were no significant differences between fallers and non-fallers on test duration (17 vs. 18s, respectively). The findings showed that the fallers had similar duration time, but poorer balance than the non-fallers during one-legged stance. The COP parameters were able to differentiate the balance between fallers and non-fallers with acceptable area under curve, sensitivity and specificity.

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The prevalence of obesity in older adults in Iran: a systematic review and meta-analysis

BMC Geriatrics ◽

10.1186/s12877-019-1396-4 ◽

2019 ◽

Vol 19 (1) ◽

Cited By ~ 2

Author(s):

Aliakbar Vaisi-Raygani ◽

Masoud Mohammadi ◽

Rostam Jalali ◽

Akram Ghobadi ◽

Nader Salari

Keyword(s):

Systematic Review ◽

Older Adults ◽

Older Adult ◽

Meta Analysis ◽

The Body ◽

Obesity Prevalence ◽

Analysis Software ◽

Obesity And Overweight ◽

Age Dependent ◽

Prevalence Of Obesity

Abstract Background one of the most important age-dependent physiologic alterations in the body composition of older adult people is obesity and overweight, increasing the risk of cardiovascular disease and mortality rate. Objective The aim of the present study is to determine the prevalence of obesity in older adults in Iran. Methods The present study was conducted via meta-analysis and systematic review method, from March 2000 to October 2018. Subject-related literature was obtained via searches in ScienceDirect, Medline (PubMed), SID, Magiran, Scopus, and Google Scholar databases. Heterogeneity of studies was assessed using the I2 index, and data were analyzed by Comprehensive-Meta analysis software. Results In the assessment of 18 studies and 29,943 persons aged over 50 years, the prevalence of obesity in older adults of Iran was 21.4% (95%CI: 26.6–16.9%) based on the meta-analysis. The highest obesity prevalence was obtained in older adults of Babol (Amir Shahr) which was 44.2% (95%CI: 41.1–47.2%) in 2007, while the minimum obesity prevalence was found in older adults of Razavi Khorasan which was 11.3% (95%CI, 10–12.8%) in 2007. Further, as the sample size and the study year increased, the obesity prevalence diminished in older Iranian adults (p < 0.05). Conclusion This study suggests that the prevalence of obesity in the older adults of Iran is high. Accordingly, healthcare planners and politicians should consider effective and practical policies to reduce obesity in older adults.

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Objective measurements of daily physical activity patterns and sedentary behaviour in older adults: Age, Gene/Environment Susceptibility-Reykjavik Study

Age and Ageing ◽

10.1093/ageing/afs160 ◽

2012 ◽

Vol 42 (2) ◽

pp. 222-229 ◽

Cited By ~ 84

Author(s):

Nanna Yr Arnardottir ◽

Annemarie Koster ◽

Dane R. Van Domelen ◽

Robert J. Brychta ◽

Paolo Caserotti ◽

...

Keyword(s):

Physical Activity ◽

Older Adults ◽

Sedentary Behaviour ◽

Activity Patterns ◽

Daily Physical Activity ◽

Physical Activity Patterns ◽

Objective Measurements ◽

Gene Environment

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Pedestrian Activity Among California Adults

Journal of Physical Activity and Health ◽

10.1123/jpah.6.1.15 ◽

2009 ◽

Vol 6 (1) ◽

pp. 15-23 ◽

Cited By ~ 5

Author(s):

Anna E. Mathews ◽

Natalie Colabianchi ◽

Brent Hutto ◽

Delores M. Pluto ◽

Steve P. Hooker

Keyword(s):

Physical Activity ◽

Older Adults ◽

Activity Patterns ◽

Physical Activity Promotion ◽

Activity Level ◽

Activity Levels ◽

Public Health Agencies ◽

Activity Promotion ◽

Health Agencies ◽

Random Digit Dial

Background:The objectives of this study were to assess (1) pedestrian activity levels among adults, (2) where and why adults engage in pedestrian activity, and (3) what adults consider when deciding where to engage in pedestrian activity.Methods:Pedestrian activity was assessed in 12,036 California adults, ≥18 years, using a random digit-dial telephone survey.Results:Significant differences were identified by race, sex, age, and physical activity level in the type, location, and purpose of pedestrian activities. Men engage in pedestrian activity at work, and women engage in pedestrian activity while escorting children to school and running errands. Whites primarily engage in leisure-time pedestrian activity, and non-whites are more likely to engage in pedestrian activity for transportation. Older adults were less active than their younger counterparts.Conclusions:These findings should be considered by public health agencies and their partners as they continue to increase and promote opportunities for pedestrian activity. Additional research is needed to assess older adults’ physical activity patterns and preferences, barriers, and facilitators to effectively tailor physical activity promotion efforts to this at-risk group.

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