Interconnectedness among frailty, sleep, and cognition: recent findings and clinical implications

Wennberg, Alexandra; Louis, Erik K. St.

doi:10.1017/s1041610219000462

Cited by 4 publications

(4 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Kaur et al also demonstrated that sleep mediates the relationship between frailty and cognition 58 . This bidirectional interaction involves elevated proinflammatory cytokine levels, diminished testosterone levels, depressive symptoms, neurodegenerative processes, vascular changes, and renal dysfunction 59 . As sleep disorders are modifiable, it is imperative to identify and intervene with insomnia to mitigate the risk of CF.…”

Section: Discussionmentioning

confidence: 99%

Risk factors and a nomogram for predicting cognitive frailty in Chinese patients with lung cancer receiving drug therapy: A single‐center cross‐sectional study

Li,

Wang,

Zhai

et al. 2024

Thoracic Cancer

View full text Add to dashboard Cite

BackgroundTo identify independent factors of cognitive frailty (CF) and construct a nomogram to predict cognitive frailty risk in patients with lung cancer receiving drug therapy.MethodsIn this cross‐sectional study, patients with lung cancer undergoing drug therapy from October 2022 to July 2023 were enrolled. The data collected includes general demographic characteristics, clinical data characteristics and assessment of tools for cognitive frailty and other factors. Logistic regression was harnessed to determine the influencing factors, R software was used to establish a nomogram model to predict the risk of cognitive frailty. The enhanced bootstrap method was employed for internal verification of the model. The performance of the nomogram was evaluated by using calibration curves, the area under the receiver operating characteristic curve, and decision curve analysis.ResultsA total of 372 patients were recruited, with a cognitive frailty prevalence of 56.2%. Age, education background, diabetes mellitus, insomnia, sarcopenia, and nutrition status were identified as independent factors. Then, a nomogram model was constructed and patients were classified into high‐ and low‐risk groups with a cutoff value of 0.552. The internal validation results revealed good concordance, calibration and discrimination. The decision curve analysis presented prominent clinical utility.ConclusionsThe prevalence of cognitive frailty was higher in lung cancer patients receiving drug therapy. The nomogram could identify the risk of cognitive frailty intuitively and simply in patients with lung cancer, so as to provide references for early screening and intervention for cognitive frailty at the early phases of drug treatment.

show abstract

Section: Discussionmentioning

confidence: 99%

Risk factors and a nomogram for predicting cognitive frailty in Chinese patients with lung cancer receiving drug therapy: A single‐center cross‐sectional study

Li,

Wang,

Zhai

et al. 2024

Thoracic Cancer

View full text Add to dashboard Cite

show abstract

“…Sleep is a critical component of health and wellness throughout the aging process. Yet nearly 50% of aging adults experience sleep disruptions, including poor sleep efficiency, impaired quality of sleep, daytime sleepiness, decreased rapid eye movement sleep, increased sleep latency, increased time awake after sleep onset, and sleep-disordered breathing 14,98,99. Sleep disruptions have been linked to worse cognitive function, especially that of short-term cognition, and are associated with a 5-year cognitive decline 100.…”

Section: Prevention and Modificationmentioning

confidence: 99%

Motoric Cognitive Risk Syndrome and Cognitive Frailty

Ciolek

Ross

2023

Topics in Geriatric Rehabilitation

View full text Add to dashboard Cite

Motoric cognitive risk (MCR) syndrome and cognitive frailty (CF) are relatively new predementia syndromes that represent changes from baseline cognition that may be reversible or nonprogressive. Rehabilitation therapists may be the first clinicians to identify the symptoms of MCR syndrome and CF, of subjective cognitive complaints with the associated gait or strength impairments. Adopting screening tools in clinical practice and health screening events may help to identify these syndromes early and provide the opportunity for medical and lifestyle interventions to potentially minimize progression.

show abstract

“…Previous studies have demonstrated an association between sleep quality and napping duration, physical frailty, and cognitive impairment. Sleep quality holds significant importance in the overall health of older individuals, as it is an integral part of their daily lives [ 34 , 35 , 36 , 37 ]. Sleep quality refers to an individual’s subjective experience of the quantity and effectiveness of sleep obtained during a specific period.…”

Section: Introductionmentioning

confidence: 99%

“…Poor sleep quality is typically characterized by difficulties falling asleep, frequent awakening during the night, and a constant feeling of tiredness. It is worth noting that poor sleep is a common issue among older adults [ 34 , 38 ]. Difficulty falling asleep at night has the potential to disrupt the natural circadian rhythm and has been associated with cognitive frailty [ 36 , 37 , 39 , 40 ].…”

Section: Introductionmentioning

confidence: 99%

Malnutrition, Depression, Poor Sleep Quality, and Difficulty Falling Asleep at Night Are Associated with a Higher Risk of Cognitive Frailty in Older Adults during the COVID-19 Restrictions

et al. 2023

View full text Add to dashboard Cite

The COVID-19 restrictions, such as social isolation and disruption of daily routines, can have detrimental effects, including increased stress, anxiety, sleep disturbance, and physical and cognitive decline among older adults. This study aimed to examine the association between nutritional status, depression, sleep quality, falling asleep at night, and cognitive frailty (CF) among older Thai adults during the COVID-19 pandemic. This cross-sectional study included 408 older adults with an average age of 70.54 (5.49) years. CF was determined using Fried’s frailty phenotype and the Montreal Cognitive Assessment Basic. The Mini Nutritional Assessment-Short Form, Pittsburgh Sleep Quality Index, and geriatric depression assessment were used for assessment. Multiple logistic regression analysis demonstrated that participants who were malnourished (OR 3.786; 95%CI 1.719–8.335), depressed (OR 5.003; 95%CI 2.399–10.434), had poor sleep quality (OR 1.613; 95%CI 1.041–2.500), and engaged in difficulty falling asleep (OR 1.809; 95%CI 1.022–3.203) had a higher risk of CF compared to those who did not exhibit these factors. Therefore, malnutrition, depression, poor sleep quality, and difficulty falling asleep were identified as risk factors for CF among older adults in Thailand linked to the impact of the COVID-19 pandemic. It is crucial to develop interventions to prevent CF resulting from the mentioned variables.

show abstract

Interconnectedness among frailty, sleep, and cognition: recent findings and clinical implications

Cited by 4 publications

References 19 publications

Risk factors and a nomogram for predicting cognitive frailty in Chinese patients with lung cancer receiving drug therapy: A single‐center cross‐sectional study

Risk factors and a nomogram for predicting cognitive frailty in Chinese patients with lung cancer receiving drug therapy: A single‐center cross‐sectional study

Motoric Cognitive Risk Syndrome and Cognitive Frailty

Malnutrition, Depression, Poor Sleep Quality, and Difficulty Falling Asleep at Night Are Associated with a Higher Risk of Cognitive Frailty in Older Adults during the COVID-19 Restrictions

Contact Info

Product

Resources

About