Report and Research Agenda of the American Geriatrics Society and National Institute on Aging Bedside‐to‐Bench Conference on Sleep, Circadian Rhythms, and Aging: New Avenues for Improving Brain Health, Physical Health, and Functioning

Fung, Constance H.; Vitiello, Michael V.; Alessi, Cathy A.; Kuchel, George A.

doi:10.1111/jgs.14493

Cited by 44 publications

(36 citation statements)

References 143 publications

(218 reference statements)

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“…The aging process of the circadian system is associated with lower day-night contrast, higher fragmentation and a phase advance 17 , 22 , 47 , which are related to SCR frailty 23 . These differences in circadian parameters were very significant among age groups and this is why they could be implemented in decision trees as accurate aging predictors.…”

Section: Discussionmentioning

confidence: 99%

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Circadian monitoring as an aging predictor

Martínez-Nicolás

Madrid

Garcı́a

et al. 2018

Sci Rep

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The ageing process is associated with sleep and circadian rhythm (SCR) frailty, as well as greater sensitivity to chronodisruption. This is essentially due to reduced day/night contrast, decreased sensitivity to light, napping and a more sedentary lifestyle. Thus, the aim of this study is to develop an algorithm to identify a SCR phenotype as belonging to young or aged subjects. To do this, 44 young and 44 aged subjects were recruited, and their distal skin temperature (DST), activity, body position, light, environmental temperature and the integrated variable TAP rhythms were recorded under free-living conditions for five consecutive workdays. Each variable yielded an individual decision tree to differentiate between young and elderly subjects (DST, activity, position, light, environmental temperature and TAP), with agreement rates of between 76.1% (light) and 92% (TAP). These decision trees were combined into a unique decision tree that reached an agreement rate of 95.3% (4 errors out of 88, all of them around the cut-off point). Age-related SCR changes were very significant, thus allowing to discriminate accurately between young and aged people when implemented in decision trees. This is useful to identify chronodisrupted populations that could benefit from chronoenhancement strategies.

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Section: Discussionmentioning

confidence: 99%

“…In summary, aged individuals become more sensitive to chronodisruption and sleep and circadian rhythm (SCR) frailty 23 , essentially due to a lack of day/night contrast 24 , reduced sensitivity to light 5 , 6 , napping 25 and a more sedentary lifestyle 17 .…”

Section: Introductionmentioning

confidence: 99%

Circadian monitoring as an aging predictor

Martínez-Nicolás

Madrid

Garcı́a

et al. 2018

Sci Rep

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“…It is plausible that ageing associated circadian desynchrony is responsible for metabolic imbalance, central neurodegenerative disorders, and sleep disruptions . A recent conference report by Fung et al discussed in detail the association between sleep and circadian rhythms during ageing …”

Section: Reasons For Altered Sleep Architecture In Old Agementioning

confidence: 99%

Sleep disorders in the elderly: a growing challenge

2018

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In contrast to newborns, who spend 16-20 h in sleep each day, adults need only about sleep daily. However, many elderly may struggle to obtain those 8 h in one block. In addition to changes in sleep duration, sleep patterns change as age progresses. Like the physical changes that occur during old age, an alteration in sleep pattern is also a part of the normal ageing process. As people age, they tend to have a harder time falling asleep and more trouble staying asleep. Older people spend more time in the lighter stages of sleep than in deep sleep. As the circadian mechanism in older people becomes less efficient, their sleep schedule is shifted forward. Even when they manage to obtain 7 or 8 h sleep, they wake up early, as they have gone to sleep quite early. The prevalence of sleep disorders is higher among older adults. Loud snoring, which is more common in the elderly, can be a symptom of obstructive sleep apnoea, which puts a person at risk for cardiovascular diseases, headaches, memory loss, and depression. Restless legs syndrome and periodic limb movement disorder that disrupt sleep are more prevalent in older persons. Other common medical problems of old age such as hypertension diabetes mellitus, renal failure, respiratory diseases such as asthma, immune disorders, gastroesophageal reflux disease, physical disability, dementia, pain, depression, and anxiety are all associated with sleep disturbances.

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“…It has been estimated that several modifiable risk factors, such as physical activity, socialization, weight and blood pressure control, psychological well-being and cognitive activity across the lifespan could prevent more than 30% of the diagnosed cases of dementia ( Livingston et al, 2017 ). Similarly, it has been proposed that specific dietary patterns (e.g., Mediterranean diet; Guasch-Ferré et al, 2017 , see Loughrey et al, 2017 for a review) good sleep quality ( Sexton et al, 2014 ; Fung et al, 2016 ), and definition of a clear purpose in life ( Ryff et al, 2016 ; Wilson and Bennett, 2017 ) have a positive effect on brain health in aging and may reduce the incidence of brain diseases.…”

Section: Introductionmentioning

confidence: 99%

The Barcelona Brain Health Initiative: A Cohort Study to Define and Promote Determinants of Brain Health

Cattaneo

Bartrés‐Faz

Morris

et al. 2018

Front. Aging Neurosci.

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The Barcelona Brain Health Initiative (BBHI) is an ongoing prospective longitudinal study focused on identifying determinants of brain health. The main objectives are: (i) to characterize lifestyle, cognitive, behavioral and environmental markers related to a given individual’s cognitive and mental functions in middle to old age, (ii) to assess the biological determinants predictive of maintenance of brain health, and (iii) to evaluate the impact of a controlled multi-dimensional lifestyle intervention on improving and maintaining brain health. The BBHI cohort consists of >4500 healthy participants aged 40–65 years followed through online questionnaires (Phase I) assessing participants’ self-perceived health and lifestyle factors in seven different domains: overall health, physical exercise, cognitive activity, sleep, nutrition, social interactions, and life purpose. In Phase II a sub-group of 1,000 individuals is undergoing detailed in-person evaluations repeated at two-yearly intervals. These evaluations will provide deep phenotyping of brain function, including medical, neurological and psychiatric examinations, assessment of physical fitness, neuropsychological assessments, structural and functional brain magnetic resonance imaging, electroencephalography and perturbation-based non-invasive brain stimulation evaluations of brain activity, as well as collection of biological samples. Finally, in Phase III a further sub-group of 500 participants will undergo a similar in-person assessment before and after a multi-dimensional intervention to optimize lifestyle habits and evaluate its effects on cognitive and brain structure and function. The intervention group will receive remote supervision through an ICT-based solution, with the support of an expert in health and lifestyle coaching strategies aimed at promoting adherence. On the other hand, the control group will not have this coaching support, and will only receive education and recommendations about healthy habits. Results of this three-part initiative shall critically contribute to a better understanding of the determinants to promote and maintain brain health over the lifespan.

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Report and Research Agenda of the American Geriatrics Society and National Institute on Aging Bedside‐to‐Bench Conference on Sleep, Circadian Rhythms, and Aging: New Avenues for Improving Brain Health, Physical Health, and Functioning

Cited by 44 publications

References 143 publications

Circadian monitoring as an aging predictor

Circadian monitoring as an aging predictor

Sleep disorders in the elderly: a growing challenge

The Barcelona Brain Health Initiative: A Cohort Study to Define and Promote Determinants of Brain Health

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