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Journal articles on the topic 'Pace of life'

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Published: 4 June 2021

Last updated: 4 February 2022

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1

Long, Janet C., Chiara Pomare, Louise A. Ellis, Kate Churruca, and Jeffrey Braithwaite. "The pace of hospital life: A mixed methods study." PLOS ONE 16, no. 8 (August 18, 2021): e0255775. http://dx.doi.org/10.1371/journal.pone.0255775.

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The pace-of-life hypothesis is a socio-psychological theory postulating that citizens of different cities transact the business of life at varying paces, and this pace is associated with a number of population level variables. Here we apply the pace-of-life hypothesis to a hospital context to empirically test the association between pace and patient and staff outcomes. As pressure on hospitals grow and pace increases to keep up with demand, is there empirical evidence of a trade-off between a rapid pace and poorer outcomes? We collected data from four large Australian hospitals, inviting all staff (clinical and non-clinical) to complete a survey, and conducted a series of observations of hospital staff’s walking pace and transactional pace. From these data we constructed three measures of pace: staff perception of pace, transactional pace, and walking pace. Outcome measures included: hospital culture, perceived patient safety, and staff well-being outcomes of job satisfaction and burnout. Overall, participants reported experiencing a “fast-paced” “hurried” and “rapid” pace-of-life working in the Australian hospital sector. We found a significant difference in perceived pace across four hospital sites, similar to trends observed for transactional pace. This provides support that the pace-of-life hypothesis may apply to the hospital context. We tested associations between faster perceived pace, hospital culture, staff well-being and patient safety. Results revealed perceived faster pace significantly predicted negative perceptions of organizational culture, greater burnout and lower job satisfaction. However, perceived pace did not predict perceptions of patient safety. Different perceptions of hospital pace-of-life were found between different clinical settings and the type of care delivered; staff working in emergency departments reported significantly “faster-paced” work environments than staff working in palliative, aged care, or rehabilitation wards.

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2

Darveau, C. "THE PACE OF LIFE." Journal of Experimental Biology 211, no. 3 (February 1, 2008): v. http://dx.doi.org/10.1242/jeb.011361.

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3

Buechel, Séverine Denise, and Paul Schmid-Hempel. "Colony pace: a life-history trait affecting social insect epidemiology." Proceedings of the Royal Society B: Biological Sciences 283, no. 1822 (January 13, 2016): 20151919. http://dx.doi.org/10.1098/rspb.2015.1919.

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Among colonies of social insects, the worker turnover rate (colony ‘pace’) typically shows considerable variation. This has epidemiological consequences for parasites, because in ‘fast-paced’ colonies, with short-lived workers, the time of parasite residence in a given host will be reduced, and further transmission may thus get less likely. Here, we test this idea and ask whether pace is a life-history strategy against infectious parasites. We infected bumblebees ( Bombus terrestris ) with the infectious gut parasite Crithidia bombi , and experimentally manipulated birth and death rates to mimic slow and fast pace. We found that fewer workers and, importantly, fewer last-generation workers that are responsible for rearing sexuals were infected in colonies with faster pace. This translates into increased fitness in fast-paced colonies, as daughter queens exposed to fewer infected workers in the nest are less likely to become infected themselves, and have a higher chance of founding their own colonies in the next year. High worker turnover rate can thus act as a strategy of defence against a spreading infection in social insect colonies.

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4

Lester, David. "Pace of Life and Suicide." Perceptual and Motor Skills 88, no. 3_suppl (June 1999): 1094. http://dx.doi.org/10.2466/pms.1999.88.3c.1094.

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5

Lester, David. "The Pace of Life and Suicide." Perceptual and Motor Skills 91, no. 3 (December 2000): 748. http://dx.doi.org/10.2466/pms.2000.91.3.748.

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6

Moschilla, Joe A., Joseph L. Tomkins, and Leigh W. Simmons. "Sex-specific pace-of-life syndromes." Behavioral Ecology 30, no. 4 (April 25, 2019): 1096–105. http://dx.doi.org/10.1093/beheco/arz055.

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Abstract The pace-of-life syndrome (POLS) hypothesis considers an animal’s behavior, physiology, and life history as nonindependent components of a single integrated phenotype. However, frequent deviations from the expected correlations between POLS traits suggest that these relationships may be context, and potentially, sex dependent. To determine whether the sexes express distinct POLS trait covariance structures, we observed the behavior (mobility, latency to emerge from a shelter), physiology (mass-specific metabolic rate), and life history (life span, development time) of male and female Australian field crickets (Teleogryllus oceanicus). Path analysis modeling suggested that POLS trait covariation differed between the sexes. Although neither sex displayed the complete integration of traits predicted by the POLS hypothesis, females did display greater overall integration with a significant negative correlation between metabolic rate and risk-taking behavior but with life-history traits varying independently. In males, however, there was no clear association between traits. These results suggest that T. oceanicus do indeed display sex-specific trait covariance structures, emphasizing the importance of acknowledging sex in assessments of POLS.

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7

Tallis, J. H., and K. D. Bennett. "Evolution and Ecology: The Pace of Life." Journal of Ecology 85, no. 4 (August 1997): 557. http://dx.doi.org/10.2307/2960591.

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8

Elias, Scott A. "Evolution and ecology: The pace of life." Trends in Ecology & Evolution 12, no. 11 (November 1997): 451–52. http://dx.doi.org/10.1016/s0169-5347(97)85756-4.

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9

Levine, Robert V., and Ara Norenzayan. "The Pace of Life in 31 Countries." Journal of Cross-Cultural Psychology 30, no. 2 (March 1999): 178–205. http://dx.doi.org/10.1177/0022022199030002003.

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10

Cronin, Thomas M. "Evolution and ecology: The pace of life." Endeavour 21, no. 4 (January 1997): 175–76. http://dx.doi.org/10.1016/s0160-9327(97)85661-x.

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11

Chung, Dillon J., Timothy M. Healy, Jessica L. McKenzie, Adam J. Chicco, Genevieve C. Sparagna, and Patricia M. Schulte. "Mitochondria, Temperature, and the Pace of Life." Integrative and Comparative Biology 58, no. 3 (April 30, 2018): 578–90. http://dx.doi.org/10.1093/icb/icy013.

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12

Ban, Carolyn, and Patricia W. Ingraham. "Retaining Quality Federal Employees: Life after PACE." Public Administration Review 48, no. 3 (May 1988): 708. http://dx.doi.org/10.2307/976250.

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13

STRÖKER, ERWIN, GUDRUN PAPPAERT, BRIAN ROELANDT, PEDRO BRUGADA, and CARLO de ASMUNDIS. "A Battery Life beyond His “Expectancy”." Pacing and Clinical Electrophysiology 38, no. 10 (April 12, 2015): 1228–30. http://dx.doi.org/10.1111/pace.12622.

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14

Hille, Sabine M., and Caren B. Cooper. "Elevational trends in life histories: revising the pace-of-life framework." Biological Reviews 90, no. 1 (March 28, 2014): 204–13. http://dx.doi.org/10.1111/brv.12106.

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15

Wiersma, P., A. Munoz-Garcia, A. Walker, and J. B. Williams. "Tropical birds have a slow pace of life." Proceedings of the National Academy of Sciences 104, no. 22 (May 21, 2007): 9340–45. http://dx.doi.org/10.1073/pnas.0702212104.

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16

Hoving, H. J. T., and B. H. Robison. "The pace of life in deep-dwelling squids." Deep Sea Research Part I: Oceanographic Research Papers 126 (August 2017): 40–49. http://dx.doi.org/10.1016/j.dsr.2017.05.005.

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17

Wong, Serena, Jennifer S. Bigman, and Nicholas K. Dulvy. "The metabolic pace of life histories across fishes." Proceedings of the Royal Society B: Biological Sciences 288, no. 1953 (June 16, 2021): 20210910. http://dx.doi.org/10.1098/rspb.2021.0910.

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All life acquires energy through metabolic processes and that energy is subsequently allocated to life-sustaining functions such as survival, growth and reproduction. Thus, it has long been assumed that metabolic rate is related to the life history of an organism. Indeed, metabolic rate is commonly believed to set the pace of life by determining where an organism is situated along a fast–slow life-history continuum. However, empirical evidence of a direct interspecific relationship between metabolic rate and life histories is lacking, especially for ectothermic organisms. Here, we ask whether three life-history traits—maximum body mass, generation length and growth performance—explain variation in resting metabolic rate (RMR) across fishes. We found that growth performance, which accounts for the trade-off between growth rate and maximum body size, explained variation in RMR, yet maximum body mass and generation length did not. Our results suggest that measures of life history that encompass trade-offs between life-history traits, rather than traits in isolation, explain variation in RMR across fishes. Ultimately, understanding the relationship between metabolic rate and life history is crucial to metabolic ecology and has the potential to improve prediction of the ecological risk of data-poor species.

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18

Hoffmann, Christin, Julia Amelie Hoppe, and Niklas Ziemann. "The Hare and the Hedgehog: Empirical evidence on the relationship between the individual Pace of Life and the speed-accuracy continuum." PLOS ONE 16, no. 8 (August 20, 2021): e0256490. http://dx.doi.org/10.1371/journal.pone.0256490.

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Against the background of the speed-accuracy trade-off, we explored whether the Pace of Life can be used to identify heterogeneity in the strategy to place more weight on either fast or accurate accomplishments. The Pace of Life approaches an individual’s exposure to time and is an intensively studied concept in the evolutionary biology research. Albeit overall rarely, it is increasingly used to understand human behavior and may fulfill many criteria of a personal trait. In a controlled laboratory environment, we measured the participants’ Pace of Life, as well as their performance on a real-effort task. In the real-effort task, the participants had to encode words, whereby each word encoded correctly was associated with a monetary reward. We found that individuals with a faster Pace of Life accomplished more tasks in total. At the same time, they were less accurate and made more mistakes (in absolute terms) than those with a slower Pace of Life. Thus, the Pace of Life seems to be useful to identify an individual’s stance on the speed-accuracy continuum. In our specific task, placing more weight on speed instead of accuracy paid off: Individuals with a faster Pace of Life were ultimately more successful (with regard to their monetary revenue).

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19

Balci, Kevser Gülcihan, Özlem Özcan Çelebi, Mustafa Mücahit Balcı, Sinan Aydoğdu, and Mehmet İleri. "Atrial fibrillation and health‐related quality of life." Pacing and Clinical Electrophysiology 43, no. 1 (October 31, 2019): 156. http://dx.doi.org/10.1111/pace.13821.

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20

VAN HEUVERSWYN, FREDERIC E., LIESBETH TIMMERS, ROLAND X. STROOBANDT, and S. SERGE BAROLD. "Implantable Cardioverter-Defibrillators: Is There Life after Death?" Pacing and Clinical Electrophysiology 36, no. 1 (October 27, 2012): 2–6. http://dx.doi.org/10.1111/pace.12023.

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21

Li, Heng, and Yu Cao. "Moving at the Speed of Life: How Life Pace Influences Temporal Reasoning." Metaphor and Symbol 34, no. 3 (July 3, 2019): 158–66. http://dx.doi.org/10.1080/10926488.2019.1649839.

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22

Bailey, Moya. "The Ethics of Pace." South Atlantic Quarterly 120, no. 2 (April 1, 2021): 285–99. http://dx.doi.org/10.1215/00382876-8916032.

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Disability studies has continually asked us to rethink the demands on our bodies and time by reminding us that not all humans are able to move and produce in line with these ever-mounting societal expectations. Drawing on the work of disability theorists like Susan Wendell, this article addresses the unique challenges of creating an ethical pace of life for those multiply marginalized by race, gender, sexuality, and ability. The author focuses on her own occupation in the academy and in the field of digital humanities as a necessary case study to argue that, in our social justice visions of the future, we must reimagine the ethics of pace.

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23

Rosa, Rui, and Brad A. Seibel. "Slow pace of life of the Antarctic colossal squid." Journal of the Marine Biological Association of the United Kingdom 90, no. 7 (April 20, 2010): 1375–78. http://dx.doi.org/10.1017/s0025315409991494.

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The colossal squid (Mesonychoteuthis hamiltoni) is the world's largest invertebrate and its large size and some unique morphological characters have fuelled speculation that it is an aggressive top predator in the circum-Antarctic Southern Ocean. Here, we present estimates on the metabolic and energetic demands of this cold-water deep-sea giant. The estimated mass-specific routine metabolic rate for the colossal squid at 1.5°C was 0.036 µmol O2h−1g−1and the projected daily energy consumption (45.1 kcal day−1) was almost constant as a function of depth in the nearly isothermal Antarctic waters. Our findings also indicate the squid shows a slow pace of life linked with very low prey requirements (only 0.03 kg of prey per day). We argue that the colossal squid is not a voracious predator capable of high-speed predator–prey interactions. It is, rather, an ambush or sit-and-float predator that uses the hooks on its arms and tentacles to ensnare prey that unwittingly approach.

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24

Chambers, F. M. "Book Review: Evolution and ecology: the pace of life." Holocene 8, no. 4 (May 1998): 497. http://dx.doi.org/10.1191/095968398673928783.

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25

Lippke, Sonia, Torven M. Schalk, Ulrich Kühnen, and Borui Shang. "Pace of life and perceived stress in international students." PsyCh Journal 10, no. 3 (January 28, 2021): 425–36. http://dx.doi.org/10.1002/pchj.426.

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26

Silk, Matthew J., and David J. Hodgson. "Differentiated Social Relationships and the Pace-of-Life-History." Trends in Ecology & Evolution 36, no. 6 (June 2021): 498–506. http://dx.doi.org/10.1016/j.tree.2021.02.007.

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27

Hems, Sharon, Louise Taylor, Jan Jones, and Eileen Holmes. "OP22 Patient-Based Evidence: Its Role In Decision-Making On New Medicines." International Journal of Technology Assessment in Health Care 35, S1 (2019): 4–5. http://dx.doi.org/10.1017/s0266462319000941.

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IntroductionThe Scottish Medicines Consortium (SMC) advises NHS Scotland on the clinical and cost-effectiveness of new medicines. Since 2014, evidence from patients and carers on end-of-life and orphan medicines has been gathered during Patient and Clinician Engagement (PACE) meetings. The output is a consensus statement which describes the added value of a new medicine from the perspective of the patient/carer and clinician. This study investigates the importance of factors identified through PACE to committee members and how these are used in their decision-making.MethodsSurvey methodology was used to gain an understanding of the factors from the PACE statement that are most likely to influence members (n = 26) in decision-making. The survey instrument was informed by a literature review and observation of PACE and SMC meetings. Likert scale questions were used to determine the relative importance of factors in the PACE statement, including information relating to eight prominent ‘quality of life’ themes (family/carer impact, health benefits, tolerability, psychological benefit, hope, normal life, treatment choice and convenience), that were identified by an earlier thematic analysis of these statements.ResultsAnalysis of survey responses will use mainly descriptive techniques to generate percentages and ranges. Correlation analysis will be considered to investigate relationships between members’ demographics, type of medicine (end-of-life, orphan) and the importance of different factors in the PACE statement. Preliminary results indicate that key quality of life themes highly valued by patients/carers are also important to committee members in their decision making. Challenges in assimilating qualitative patient-based evidence from PACE alongside quantitative clinical and economic data were highlighted.ConclusionsFindings from this survey will provide valuable insight into how PACE evidence is used by SMC decision makers alongside traditional clinical and economic evidence and will help shape future improvements to the PACE methodology.

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28

Cavanagh, Casey E., Lindsey Rosman, Rachel Lampert, Philip W. Chui, Mary L. Johnston, and Matthew M. Burg. "Planning ahead: End‐of‐life decisions for patients with defibrillators." Pacing and Clinical Electrophysiology 42, no. 5 (April 3, 2019): 548–52. http://dx.doi.org/10.1111/pace.13641.

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29

Mui, Ada C. "The Program of All-Inclusive Care for the Elderly (PACE)." Journal of Aging & Social Policy 13, no. 2-3 (July 25, 2002): 53–67. http://dx.doi.org/10.1300/j031v13n02_05.

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30

Williams, J. B., R. A. Miller, J. M. Harper, and P. Wiersma. "Functional Linkages for the Pace of Life, Life-history, and Environment in Birds." Integrative and Comparative Biology 50, no. 5 (April 26, 2010): 855–68. http://dx.doi.org/10.1093/icb/icq024.

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31

Niemelä, Petri T., Niels J. Dingemanse, Nico Alioravainen, Anssi Vainikka, and Raine Kortet. "Personality pace-of-life hypothesis: testing genetic associations among personality and life history." Behavioral Ecology 24, no. 4 (2013): 935–41. http://dx.doi.org/10.1093/beheco/art014.

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32

Vágási, Csongor I., Orsolya Vincze, Jean-François Lemaître, Péter L. Pap, Victor Ronget, and Jean-Michel Gaillard. "Is degree of sociality associated with reproductive senescence? A comparative analysis across birds and mammals." Philosophical Transactions of the Royal Society B: Biological Sciences 376, no. 1823 (March 8, 2021): 20190744. http://dx.doi.org/10.1098/rstb.2019.0744.

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Our understanding on how widespread reproductive senescence is in the wild and how the onset and rate of reproductive senescence vary among species in relation to life histories and lifestyles is currently limited. More specifically, whether the species-specific degree of sociality is linked to the occurrence, onset and rate of reproductive senescence remains unknown. Here, we investigate these questions using phylogenetic comparative analyses across 36 bird and 101 mammal species encompassing a wide array of life histories, lifestyles and social traits. We found that female reproductive senescence: (i) is widespread and occurs with similar frequency (about two-thirds) in birds and mammals; (ii) occurs later in life and is slower in birds than in similar-sized mammals; (iii) occurs later in life and is slower with an increasingly slower pace of life in both vertebrate classes; and (iv) is only weakly associated, if any, with the degree of sociality in both classes after accounting for the effect of body size and pace of life. However, when removing the effect of species differences in pace of life, a higher degree of sociality was associated with later and weaker reproductive senescence in females, which suggests that the degree of sociality is either indirectly related to reproductive senescence via the pace of life or simply a direct outcome of the pace of life. This article is part of the theme issue ‘Ageing and sociality: why, when and how does sociality change ageing patterns?’

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33

Bergener, Jens, and Tilman Santarius. "A pace of life indicator. Development and validation of a General Acceleration Scale." Time & Society 30, no. 3 (March 22, 2021): 273–301. http://dx.doi.org/10.1177/0961463x20980645.

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Ever since Georg Simmel (1895) introduced the notion into sociological accounts of modernity, scholars have tried to empirically test the claim of an increasing “speed of life” in modern society. The acceleration of speed or pace of life has been characterized as an “intensification” of our experience of time, a “time squeeze,” and “hurriedness” in leisure time. However, to date, no comprehensive instrument, scale, or indicator has been developed that is grounded in solid theory and serves to empirically measure and compare the pace of life in a straightforward manner. The purpose of this research is to develop and validate a scale-based measure that reveals whether individuals pursue a fast or slow pace of life in a leisure-time context. The result is the fifteen-item General Acceleration Scale (GAS), which conceptually rests on the comprehensive theory of social acceleration by Hartmut Rosa (2013). The scale systematically tests the pace of life along four temporal strategies of speedup: performing activities faster, doing multitasking, replacing time-consuming by time-saving activities, and filling breaks or waiting times with productive activities. If these temporal strategies form a consistent pattern, they consequently lead to an increase in the rate, speed, or relative density of experiences and activities per unit of time and thus to an increase in the pace of life. Validation of the GAS was completed by a large sample ( N = 1161) as part of a self-report online survey in Germany in 2019. We examined the convergent and discriminant validity as well as internal consistency reliability of the scale and conducted a confirmatory factor analysis via maximum likelihood estimation. Control variables and discriminant measures were included to access construct validity. Overall, we can validate the GAS as a reliable measure of time use that can be used as a straightforward pace of life indicator.

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34

ZYSKO, DOROTA, OLLE MELANDER, and ARTUR FEDOROWSKI. "Vasovagal Syncope Related to Emotional Stress Predicts Coronary Events in Later Life." Pacing and Clinical Electrophysiology 36, no. 8 (April 24, 2013): 1000–1006. http://dx.doi.org/10.1111/pace.12138.

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35

Martin, Lynn B., Zachary M. Weil, and Randy J. Nelson. "IMMUNE DEFENSE AND REPRODUCTIVE PACE OF LIFE IN PEROMYSCUS MICE." Ecology 88, no. 10 (October 2007): 2516–28. http://dx.doi.org/10.1890/07-0060.1.

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36

Schamp, Richard O. "A Day in the Life of a PACE Medical Director." Caring for the Ages 12, no. 6 (June 2011): 20. http://dx.doi.org/10.1016/s1526-4114(11)60176-5.

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37

O'Donoghue, Ted, Suzanne Scotchmer, and Jacques-Franc¸ois Thisse. "Patent Breadth, Patent Life, and the Pace of Technological Progress." Journal of Economics & Management Strategy 7, no. 1 (March 1, 1998): 1–32. http://dx.doi.org/10.1162/105864098567317.

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38

Bettencourt, L. M. A., J. Lobo, D. Helbing, C. Kuhnert, and G. B. West. "Growth, innovation, scaling, and the pace of life in cities." Proceedings of the National Academy of Sciences 104, no. 17 (April 16, 2007): 7301–6. http://dx.doi.org/10.1073/pnas.0610172104.

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39

Kirkcaldy, Bruce, Adrian Furnham, and Robert Levine. "Attitudinal and personality correlates of a nation’s pace of life." Journal of Managerial Psychology 16, no. 1 (February 2001): 20–34. http://dx.doi.org/10.1108/02683940110366551.

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O'Donoghue, Ted, Suzanne Scotchmer, and Jacques-Francois Thisse. "Patent Breadth, Patent Life, and the Pace of Technological Progress." Journal of Economics Management Strategy 7, no. 1 (March 1998): 1–32. http://dx.doi.org/10.1111/j.1430-9134.1998.00001.x.

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41

Hämäläinen, Anni M., Anja Guenther, Samantha C. Patrick, and Wiebke Schuett. "Environmental effects on the covariation among pace‐of‐life traits." Ethology 127, no. 1 (October 13, 2020): 32–44. http://dx.doi.org/10.1111/eth.13098.

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Christopher Dean, M. "Tooth microstructure tracks the pace of human life-history evolution." Proceedings of the Royal Society B: Biological Sciences 273, no. 1603 (July 12, 2006): 2799–808. http://dx.doi.org/10.1098/rspb.2006.3583.

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43

Васильева, Н. А. "Синдром темпа жизни (pace-of-life syndrome, POLS): эволюция концепции." Зоологический журнал 100, no. 9 (2021): 969–83. http://dx.doi.org/10.31857/s0044513421090117.

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44

Siegel, Allen W. "Can You PACE Yourself? Using PACE in the Clinical Setting, at End of Life and in Grief Work." Journal of Radiology Nursing 40, no. 1 (March 2021): 80–87. http://dx.doi.org/10.1016/j.jradnu.2020.12.002.

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45

EFREMIDIS, MICHAEL, KONSTANTINOS P. LETSAS, LOUIZA LIONI, GEORGIOS GIANNOPOULOS, PANAGIOTIS KORANTZOPOULOS, KONSTANTINOS VLACHOS, NIKOLAOS P. DIMOPOULOS, et al. "Association of Quality of Life, Anxiety, and Depression with Left Atrial Ablation Outcomes." Pacing and Clinical Electrophysiology 37, no. 6 (May 9, 2014): 703–11. http://dx.doi.org/10.1111/pace.12420.

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VISSER, MARLOES, LEONOR COOLS PAULINO PEREIRA, MIRJAM H. MASTENBROEK, HENNEKE VERSTEEG, and RUTGER J. HASSINK. "Impaired Mental Health-Related Quality of Life in Patients with Idiopathic Ventricular Fibrillation." Pacing and Clinical Electrophysiology 40, no. 5 (March 23, 2017): 578–84. http://dx.doi.org/10.1111/pace.13034.

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47

Gist, Katja M., Bradley S. Marino, Claire Palmer, Frank A. Fish, Jeremy P. Moore, Richard J. Czosek, Amy Cassedy, et al. "Cosmetic outcomes and quality of life in children with cardiac implantable electronic devices." Pacing and Clinical Electrophysiology 42, no. 1 (November 19, 2018): 46–57. http://dx.doi.org/10.1111/pace.13522.

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48

Stroobandt, Roland X., Mattias F. Duytschaever, Teresa Strisciuglio, Frederic E. Heuverswyn, Liesbeth Timmers, Jan Pooter, Sébastien Knecht, Yves R. Vandekerckhove, Andreas Kucher, and Rene H. Tavernier. "Failure to detect life‐threatening arrhythmias in ICDs using single‐chamber detection criteria." Pacing and Clinical Electrophysiology 42, no. 6 (March 26, 2019): 583–94. http://dx.doi.org/10.1111/pace.13610.

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49

Allen, W. B. "Rhodes handicapping, or slowing the pace of integration." Journal of Vocational Behavior 33, no. 3 (December 1988): 365–78. http://dx.doi.org/10.1016/0001-8791(88)90044-9.

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50

Williams, Christine, Emmanuelle Tognoli, and Christopher Beetle. "Mathematics and Relatedness: Predicting Optimal Social Engagement in Late Life." Innovation in Aging 4, Supplement_1 (December 1, 2020): 396. http://dx.doi.org/10.1093/geroni/igaa057.1275.

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Abstract:

Abstract Multiple causes converge for older adults to shed social relationships. Lost opportunities for social engagement are tied to weakened cognitive reserve and under-optimal aging in health and disease. For example, a woman, 75, regularly strolls with younger friends. At 80, her reduced motor fitness makes it hard to keep pace and she withdraws her participation. With same-age peers, she might continue this healthy physical and social activity a few more years by unobtrusively shortening the outing or by slowing her pace. A man, 85, loves to debate politics with family, but his turn at talks diminish: his hearing loss (sensory) prevents quick grasp of the discussion; his slower verbal fluency (cognitive) hamper quick-witted replies. Both examples illustrate that social aging is not only a ¬¬¬property of the aging individual. Social context plays an important role. Our recently formed interdisciplinary group (geropsychiatric nurse, mathematical physicist and complexity scientist) is studying the systemic complexities of social aging with experiments and mathematical models. Our aim is to present our model and aging-focused hypotheses, as well as empirical validation in younger adults. Four key variables are group size and heterogeneity, and the strength and adaptability of social coordination. Our current results show that people coordinate better with others like them in pace, but they lose the ability to coordinate with people whose pace is different. We anticipate that our program of research will deliver evidence-based recommendations on social-engineering of activities that maximize opportunities for sustained interactions among older adults.

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