Effect of Age on Heart Rate Responses and Subjective Mental Workload During Mental Tasks

Kuraoka, Hiroyuki; Kurosaka, Chie; Wada, Chikamune; Miyake, Shinji

doi:10.1007/978-3-319-96059-3_34

Cited by 3 publications

(20 citation statements)

References 11 publications

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“…Additional studies were excluded on study report characteristics ( k = 190), study type ( k = 13), outcome measures ( k = 53), or comparison ( k = 9). The remaining 43 studies (Piepoli et al, 1996 ; Cacioppo et al, 2000 ; Perini et al, 2000 ; Steptoe et al, 2002 , 2005 ; Wood et al, 2002 ; Bartels Matthew et al, 2003 ; Kunz-Ebrecht et al, 2003 ; Takahashi et al, 2003 ; Steptoe and Marmot, 2005 , 2006 ; Davrath Linda et al, 2006 ; Hamer and Steptoe, 2007 ; Virtanen et al, 2007 ; Mayumi et al, 2008 ; Karavirta et al, 2009 ; Petrofsky et al, 2009 ; Dourado et al, 2010 ; Alves Naiane Ferraz et al, 2011 ; Millar et al, 2011 ; Sales et al, 2011 ; Wang Norman et al, 2011 ; Capuana et al, 2012 ; Archiza et al, 2013 ; Corrêa et al, 2013 ; Christensen Stephanie and Wright Heather, 2014 ; Collste et al, 2014 ; Lin et al, 2014 , 2017a ; Machado-Vidotti et al, 2014 ; Ahmadian and Dabidi Roshan, 2015 ; Crowley Olga et al, 2016 ; Norcliffe-Kaufmann et al, 2016 ; Wawrzyniak Andrew et al, 2016 ; Beer et al, 2017 ; Beer Noa et al, 2017 ; Betz Linda et al, 2017 ; Junior Adalberto et al, 2019 ; Kuraoka et al, 2019 ; Perpetuini et al, 2019 ; Rodrigues Jhennyfer et al, 2019 ; Wittstein et al, 2019 ; Kaltsatou et al, 2020 ) were included for the qualitative synthesis and—in case of sufficient quality and data reporting—considered for the meta-analyses ( k = 18). Consider Figure 1 for a detailed overview of the study selection.…”

Section: Resultsmentioning

confidence: 99%

“…In total, 3,725 HOA (49.5 % females) with a mean age of 58.2 years were included. The majority of studies were designed as observational trials (Cacioppo et al, 2000 ; Perini et al, 2000 ; Steptoe et al, 2002 , 2005 ; Wood et al, 2002 ; Bartels Matthew et al, 2003 ; Kunz-Ebrecht et al, 2003 ; Takahashi et al, 2003 ; Steptoe and Marmot, 2005 , 2006 ; Davrath Linda et al, 2006 ; Hamer and Steptoe, 2007 ; Virtanen et al, 2007 ; Mayumi et al, 2008 ; Petrofsky et al, 2009 ; Dourado et al, 2010 ; Alves Naiane Ferraz et al, 2011 ; Sales et al, 2011 ; Wang Norman et al, 2011 ; Capuana et al, 2012 ; Archiza et al, 2013 ; Corrêa et al, 2013 ; Christensen Stephanie and Wright Heather, 2014 ; Collste et al, 2014 ; Lin et al, 2014 , 2017a ; Machado-Vidotti et al, 2014 ; Ahmadian and Dabidi Roshan, 2015 ; Crowley Olga et al, 2016 ; Norcliffe-Kaufmann et al, 2016 ; Wawrzyniak Andrew et al, 2016 ; Beer et al, 2017 ; Beer Noa et al, 2017 ; Betz Linda et al, 2017 ; Kuraoka et al, 2019 ; Perpetuini et al, 2019 ; Wittstein et al, 2019 ; Kaltsatou et al, 2020 ), of which 24 included a control population in form of a case-control trial design (Piepoli et al, 1996 ; Cacioppo et al, 2000 ; Wood et al, 2002 ; Bartels Matthew et al, 2003 ; Steptoe et al, 2005 ; Davrath Linda et al, 2006 ; Virtanen et al, 2007 ; Mayumi et al, 2008 ; Petrofsky et al, 2009 ; Alves Naiane Ferraz et al, 2011 ; Sales et al, 2011 ; Wang Norman et al, 2011 ; Capuana et al, 2012 ; Christensen Steph...…”

Section: Resultsmentioning

confidence: 99%

“…The reported study interventions consisted of cognitive exercises (k = 21) (Cacioppo et al, 2000;Steptoe et al, 2002Wood et al, 2002;Kunz-Ebrecht et al, 2003;Marmot, 2005, 2006;Hamer and Steptoe, 2007;Capuana et al, 2012;Christensen Stephanie and Wright Heather, 2014;Collste et al, 2014;Lin et al, 2014Lin et al, , 2017aCrowley Olga et al, 2016;Norcliffe-Kaufmann et al, 2016;Wawrzyniak Andrew et al, 2016;Beer Noa et al, 2017;Betz Linda et al, 2017;Kuraoka et al, 2019;Perpetuini et al, 2019), cardiorespiratory exercises (k = 18) (Perini et al, 2000;Bartels Matthew et al, 2003;Takahashi et al, 2003;Davrath Linda et al, 2006;Virtanen et al, 2007;Mayumi et al, 2008;Karavirta et al, 2009;Dourado et al, 2010;Alves Naiane Ferraz et al, 2011;Sales et al, 2011;Wang Norman et al, 2011;Corrêa et al, 2013;Ahmadian and Dabidi Roshan, 2015;Junior Adalberto et al, 2019;Rodrigues Jhennyfer et al, 2019;Wittstein et al, 2019;Kaltsatou et al, 2020), resistance exercises (k = 6) (Piepoli et al, 1996;Petrofsky et al, 2009;Millar et al, 2011;<...>…”

Section: Study Characteristicsmentioning

confidence: 99%

“…Frontiers in Physiology | www.frontiersin.org 2002), lnHF (Kuraoka et al, 2019)] and HRV mixed (Wood et al, 2002;Kuraoka et al, 2019) on-task, as well as the reactivity of HRV mixed (Capuana et al, 2012). The relation of the reactivity of vagally-mediated HRV and cognition was analyzed by multiple studies.…”

Section: Phasic Hrv Responses To Cognitive Exercisesmentioning

confidence: 99%

“…Several factors were identified to influence the pattern of phasic HRV responses during cognitive exercises. On-task values of vagally-mediated HRV did not differ between HOA and HA (i.e., meta-analysis 2) (Kuraoka et al, 2019) (i.e., study with moderate methodological quality) and FE, Fixed-Effects Model; RE, Random-Effects Model; lb., lower bound; ub., upper bound. *Significant at p < 0.05.…”

Section: Phasic Hrv Responses To Cognitive Exercisesmentioning

confidence: 99%

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Can Reactivity of Heart Rate Variability Be a Potential Biomarker and Monitoring Tool to Promote Healthy Aging? A Systematic Review With Meta-Analyses

et al. 2021

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Background: Monitoring phasic responses of heart rate variability (HRV) in terms of HRV reactivity [i. e., the absolute change from resting state to on-task (i.e., absolute values of HRV measured during exercise)] might provide useful insights into the individual psychophysiological responses of healthy middle-aged to older adults (HOA) to cognitive and physical exercises.Objectives: To summarize the evidence of phasic HRV responses to cognitive and physical exercises, and to evaluate key moderating factors influencing these responses.Methods: A systematic review with meta-analyses was performed. Publications up to May 2020 of the databases Medline (EBSCO), Embase, Cochrane Library, CINAHL, Psycinfo, Web of Science, Scopus, and Pedro were considered. Controlled clinical trials and observational studies measuring phasic HRV responses to cognitive and/or physical exercises in HOA (≥50 years) were included.Results: The initial search identified 6,828 articles, of which 43 were included into the systematic review. Compared to resting state, vagally-mediated HRV indices were significantly reduced during all types of exercises [Hedge's g = −0.608, 95 % CI (−0.999 to −0.218), p = 0.002] indicating a significant parasympathetic withdrawal compared to rest. The key moderating variables of these responses identified included exercise intensity for physical exercises, and participant characteristics (i.e., level of cognitive functioning, physical fitness), task demands (i.e., task complexity and modality) and the individual responses to these cognitive challenges for cognitive exercises. In particular, higher task demands (task complexity and physical exercise intensity) were related to larger HRV reactivities. Better physical fitness and cognition were associated with lower HRV reactivities. Additionally, HRV reactivity appeared to be sensitive to training-induced cognitive and neural changes.Conclusion: HRV reactivity seems to be a promising biomarker for monitoring internal training load and evaluating neurobiological effects of training interventions. Further research is warranted to evaluate the potential of HRV reactivity as a monitoring parameter to guide cognitive-motor training interventions and/or as a biomarker for cognitive impairment. This may facilitate the early detection of cognitive impairment as well as allow individualized training adaptations that, in turn, support the healthy aging process by optimizing individual exercise dose and progression of cognitive-motor training.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Study Characteristicsmentioning

confidence: 99%

Section: Phasic Hrv Responses To Cognitive Exercisesmentioning

confidence: 99%

Section: Phasic Hrv Responses To Cognitive Exercisesmentioning

confidence: 99%

See 3 more Smart Citations

Can Reactivity of Heart Rate Variability Be a Potential Biomarker and Monitoring Tool to Promote Healthy Aging? A Systematic Review With Meta-Analyses

et al. 2021

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Cardiac psychophysiological tuning to socioaffective content is disrupted in aged rhesus monkeys (Macaca mulatta)

Santistevan,

Moadab,

Fiske

et al. 2023

Psychophysiology

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Aging ushers in numerous disruptions to autonomic nervous system (ANS) function. Although the effects of aging on ANS function at rest are well characterized, there is surprising variation in reports of age‐related differences in ANS reactivity to psychosocial stressors, with some reports of decreases and other reports of increases in reactivity with age. The sources of variation in age‐related differences are largely unknown. Nonhuman primate models of socioaffective aging may help to uncover sources of this variation as nonhuman primates share key features of human ANS structure and function and researchers have precise control over the environments in which they age. In this report, we assess how response patterns to dynamic socioaffective stimuli in the parasympathetic and sympathetic branches of rhesus monkeys (Macaca mulatta) ANS differ in aged compared to middle‐aged monkeys. We find that respiratory sinus arrhythmia, a cardiac indicator of activity in the parasympathetic branch of the ANS, exhibits age‐related disruptions in responding while monkeys view videos of conspecifics. This suggests that there are evolutionarily conserved mechanisms responsible for the patterns of affective aging observed in humans and that aged rhesus monkeys are a robust translational model for human affective aging.

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Cardiac psychophysiological tuning to socioaffective content is disrupted in aged rhesus monkeys

Santistevan¹,

Moadab²,

Fiske³

et al. 2022

Preprint

View full text Add to dashboard Cite

Aging ushers in numerous disruptions to autonomic nervous system (ANS) function. Although the effects of aging on ANS function at rest are well characterized, there is surprising variation in reports of age-related differences in ANS reactivity to psychosocial stressors, with some reports decreases and other reports of increases in reactivity with age. The sources of variation in age-related differences are largely unknown. Nonhuman primate models of socioaffective aging may help to uncover sources of these sources of variation as nonhuman primates share key features of human ANS structure and function and researchers have precise control over the environments in which they age. In this report, we assess how response patterns to dynamic socioaffective stimuli in the parasympathetic and sympathetic branches of rhesus monkeys (Macaca mulatta) ANS differ in aged compared to middle-aged monkeys. We find that respiratory sinus arrhythmia, a cardiac indicator of activity in the parasympathetic branch of the ANS, exhibits age-related disruptions in responding while monkeys view videos of conspecifics.

show abstract

Effect of Age on Heart Rate Responses and Subjective Mental Workload During Mental Tasks

Cited by 3 publications

References 11 publications

Can Reactivity of Heart Rate Variability Be a Potential Biomarker and Monitoring Tool to Promote Healthy Aging? A Systematic Review With Meta-Analyses

Can Reactivity of Heart Rate Variability Be a Potential Biomarker and Monitoring Tool to Promote Healthy Aging? A Systematic Review With Meta-Analyses

Cardiac psychophysiological tuning to socioaffective content is disrupted in aged rhesus monkeys (Macaca mulatta)

Cardiac psychophysiological tuning to socioaffective content is disrupted in aged rhesus monkeys

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